start-ver=1.4
cd-journal=joma
no-vol=18
cd-vols=
no-issue=3
article-no=
start-page=143
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250304
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Hair Drawing Evaluation Algorithm for Exactness Assessment Method in Portrait Drawing Learning Assistant System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, portrait drawing has become increasingly popular as a means of developing artistic skills and nurturing emotional expression. However, it is challenging for novices to start learning it, as they usually lack a solid grasp of proportions and structural foundations of the five senses. To address this problem, we have studied Portrait Drawing Learning Assistant System (PDLAS) for guiding novices by providing auxiliary lines of facial features, generated by utilizing OpenPose and OpenCV libraries. For PDLAS, we have also presented the exactness assessment method to evaluate drawing accuracy using the Normalized Cross-Correlation (NCC) algorithm. It calculates the similarity score between the drawing result and the initial portrait photo. Unfortunately, the current method does not assess the hair drawing, although it occupies a large part of a portrait and often determines its quality. In this paper, we present a hair drawing evaluation algorithm for the exactness assessment method to offer comprehensive feedback to users in PDLAS. To emphasize hair lines, this algorithm extracts the texture of the hair region by computing the eigenvalues and eigenvectors of the hair image. For evaluations, we applied the proposal to drawing results by seven students from Okayama University, Japan and confirmed the validity. In addition, we observed the NCC score improvement in PDLAS by modifying the face parts with low similarity scores from the exactness assessment method.
en-copyright=
kn-copyright=

en-aut-name=ZhangYue
en-aut-sei=Zhang
en-aut-mei=Yue
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FebriantiErita Cicilia
en-aut-sei=Febrianti
en-aut-mei=Erita Cicilia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SudarsonoAmang
en-aut-sei=Sudarsono
en-aut-mei=Amang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=HsuChenchien
en-aut-sei=Hsu
en-aut-mei=Chenchien
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Electrical Engineering, Politeknik Elektronika Negeri Surabaya
kn-affil=

affil-num=4
en-affil=Department of Electrical Engineering, Politeknik Elektronika Negeri Surabaya
kn-affil=

affil-num=5
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=portrait drawing
kn-keyword=portrait drawing
en-keyword=auxiliary lines
kn-keyword=auxiliary lines
en-keyword=OpenPose
kn-keyword=OpenPose
en-keyword=OpenCV
kn-keyword=OpenCV
en-keyword=normalized cross-correlation (NCC)
kn-keyword=normalized cross-correlation (NCC)
en-keyword=hair texture
kn-keyword=hair texture
en-keyword=exactness assessment method
kn-keyword=exactness assessment method
END

start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=2
article-no=
start-page=108
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250205
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Implementation of Sensor Input Setup Assistance Service Using Generative AI for SEMAR IoT Application Server Platform
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=For rapid deployments of various IoT application systems, we have developed Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) as an integrated server platform. It is equipped with rich functions for collecting, analyzing, and visualizing various data. Unfortunately, the proper configuration of SEMAR with a variety of IoT devices can be complex and challenging for novice users, since it often requires technical expertise. The assistance of Generative AI can be helpful to solve this drawback. In this paper, we present an implementation of a sensor input setup assistance service for SEMAR using prompt engineering techniques and Generative AI. A user needs to define the requirement specifications and environments of the IoT application system for sensor inputs, and give them to the service. Then, the service provides step-by-step guidance on sensor connections, communicating board configurations, network connections, and communication protocols to the user, which can help the user easily set up the configuration to connect the relevant devices to SEMAR. For evaluations, we applied the proposal to the input sensor setup processes of three practical IoT application systems with SEMAR, namely, a smart light, water heater, and room temperature monitoring system. In addition, we applied it to the setup process of an IoT application system for a course for undergraduate students at the Insitut Bisnis dan Teknologi (INSTIKI), Indonesia. The results demonstrate the effectiveness of the proposed service for SEMAR.
en-copyright=
kn-copyright=

en-aut-name=KotamaI. Nyoman Darma
en-aut-sei=Kotama
en-aut-mei=I. Nyoman Darma
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=PradhanaAnak Agung Surya
en-aut-sei=Pradhana
en-aut-mei=Anak Agung Surya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=Noprianto
en-aut-sei=Noprianto
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=DesnanjayaI. Gusti Made Ngurah
en-aut-sei=Desnanjaya
en-aut-mei=I. Gusti Made Ngurah
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=7
en-affil=Department of Computer System Engineering, Institute of Business and Technology Indonesia
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword= generative AI
kn-keyword= generative AI
en-keyword= review
kn-keyword= review
en-keyword= application server platform
kn-keyword= application server platform
en-keyword= SEMAR
kn-keyword= SEMAR
en-keyword= sensor input
kn-keyword= sensor input
END

start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=2
article-no=
start-page=91
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250124
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Application of SEMAR IoT Application Server Platform to Drone-Based Wall Inspection System Using AI Model
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Recently, artificial intelligence (AI) has been adopted in a number of Internet of Things (IoT) application systems to enhance intelligence. We have developed a ready-made server with rich built-in functions to collect, process, display, analyze, and store data from various IoT devices, the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform, in which various AI techniques have been implemented to enhance its capabilities. In this paper, we present an application of SEMAR to a drone-based wall inspection system using an object detection AI model called You Only Look Once (YOLO). This system aims to detect wall cracks at high places using images taken via a camera on a flying drone. An edge computing device is installed to control the drone, sending the taken images through the Kafka system, storing them with the drone flight data, and sending the data to SEMAR. The images are analyzed via YOLO through SEMAR. For evaluations, we implemented the system using Ryze Tello for the drone and Raspberry Pi for the edge, and we evaluated the detection accuracy. The preliminary experiment results confirmed the effectiveness of the proposal.
en-copyright=
kn-copyright=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=HusnaRadhiatul
en-aut-sei=Husna
en-aut-mei=Radhiatul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=NopriantoNobuo
en-aut-sei=Noprianto
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SakamakiShunya
en-aut-sei=Sakamaki
en-aut-mei=Shunya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Informatics and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=

affil-num=7
en-affil=Department of Information Technology, State Polytechnic of Malang
kn-affil=

affil-num=8
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword= AI
kn-keyword= AI
en-keyword= SEMAR
kn-keyword= SEMAR
en-keyword= crack detection
kn-keyword= crack detection
en-keyword= drone
kn-keyword= drone
en-keyword= Kafka
kn-keyword= Kafka
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=2
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241225
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Enhancing Campus Environment: Real-Time Air Quality Monitoring Through IoT and Web Technologies
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, enhancing campus environments through mitigations of air pollutions is an essential endeavor to support academic achievements, health, and safety of students and staffs in higher educational institutes. In laboratories, pollutants from welding, auto repairs, or chemical experiments can drastically degrade the air quality in the campus, endangering the respiratory and cognitive health of students and staffs. Besides, in universities in Indonesia, automobile emissions of harmful substances such as carbon monoxide (CO), nitrogen dioxide (NO2), and hydrocarbon (HC) have been a serious problem for a long time. Almost everybody is using a motorbike or a car every day in daily life, while the number of students is continuously increasing. However, people in many campuses including managements do not be aware these problems, since air quality is not monitored. In this paper, we present a real-time air quality monitoring system utilizing Internet of Things (IoT) integrated sensors capable of detecting pollutants and measuring environmental conditions to visualize them. By transmitting data to the SEMAR IoT application server platform via an ESP32 microcontroller, this system provides instant alerts through a web application and Telegram notifications when pollutant levels exceed safe thresholds. For evaluations of the proposed system, we adopted three sensors to measure the levels of CO, NO2, and HC and conducted experiments in three sites, namely, Mechatronics Laboratory, Power and Emission Laboratory, and Parking Lot, at the State Polytechnic of Malang, Indonesia. Then, the results reveal Good, Unhealthy, and Dangerous for them, respectively, among the five categories defined by the Indonesian government. The system highlighted its ability to monitor air quality fluctuations, trigger warnings of hazardous conditions, and inform the campus community. The correlation of the sensor levels can identify the relationship of each pollutant, which provides insight into the characteristics of pollutants in a particular scenario.
en-copyright=
kn-copyright=

en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SetiawanBudhy
en-aut-sei=Setiawan
en-aut-mei=Budhy
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=

affil-num=2
en-affil=Department of Information Technology, State Polytechnic of Malang
kn-affil=

affil-num=3
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=

affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword= campus air quality
kn-keyword= campus air quality
en-keyword= pollutant detection
kn-keyword= pollutant detection
en-keyword= SEMAR
kn-keyword= SEMAR
en-keyword= sensor technology
kn-keyword= sensor technology
en-keyword= web application
kn-keyword= web application
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=1
article-no=
start-page=25
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250115
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Investigation of Hand Gestures for Controlling Video Games in a Rehabilitation Exergame System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Musculoskeletal disorders (MSDs) can significantly impact individuals' quality of life (QoL), often requiring effective rehabilitation strategies to promote recovery. However, traditional rehabilitation methods can be expensive and may lack engagement, leading to poor adherence to therapy exercise routines. An exergame system can be a solution to this problem. In this paper, we investigate appropriate hand gestures for controlling video games in a rehabilitation exergame system. The Mediapipe Python library is adopted for the real-time recognition of gestures. We choose 10 easy gestures among 32 possible simple gestures. Then, we specify and compare the best and the second-best groups used to control the game. Comprehensive experiments are conducted with 16 students at Andalas University, Indonesia, to find appropriate gestures and evaluate user experiences of the system using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ). The results show that the hand gestures in the best group are more accessible than in the second-best group. The results suggest appropriate hand gestures for game controls and confirm the proposal's validity. In future work, we plan to enhance the exergame system by integrating a diverse set of video games, while expanding its application to a broader and more diverse sample. We will also study other practical applications of the hand gesture control function.
en-copyright=
kn-copyright=

en-aut-name=HusnaRadhiatul
en-aut-sei=Husna
en-aut-mei=Radhiatul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=AnggrainiIrin Tri
en-aut-sei=Anggraini
en-aut-mei=Irin Tri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=FanChih-Peng
en-aut-sei=Fan
en-aut-mei=Chih-Peng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Electrical Engineering, State Polytechnic of Malang
kn-affil=

affil-num=6
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=
en-keyword=hand gesture
kn-keyword=hand gesture
en-keyword=application control
kn-keyword=application control
en-keyword=exergame
kn-keyword=exergame
en-keyword=SUS
kn-keyword=SUS
en-keyword=UEQ
kn-keyword=UEQ
en-keyword=python
kn-keyword=python
en-keyword=mediapipe
kn-keyword=mediapipe
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=2
article-no=
start-page=342
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2025
dt-pub=20250117
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Proposal of In Situ Authoring Tool with Visual-Inertial Sensor Fusion for Outdoor Location-Based Augmented Reality
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In location-based augmented reality (LAR) applications, a simple and effective authoring tool is essential to create immersive AR experiences in real-world contexts. Unfortunately, most of the current tools are primarily desktop-based, requiring manual location acquisitions, the use of software development kits (SDKs), and high programming skills, which poses significant challenges for novice developers and a lack of precise LAR content alignment. In this paper, we propose an intuitive in situ authoring tool with visual-inertial sensor fusions to simplify the LAR content creation and storing process directly using a smartphone at the point of interest (POI) location. The tool localizes the user’s position using smartphone sensors and maps it with the captured smartphone movement and the surrounding environment data in real-time. Thus, the AR developer can place a virtual object on-site intuitively without complex programming. By leveraging the combined capabilities of Visual Simultaneous Localization and Mapping(VSLAM) and Google Street View (GSV), it enhances localization and mapping accuracy during AR object creation. For evaluations, we conducted extensive user testing with 15 participants, assessing the task success rate and completion time of the tool in practical pedestrian navigation scenarios. The Handheld Augmented Reality Usability Scale (HARUS) was used to evaluate overall user satisfaction. The results showed that all the participants successfully completed the tasks, taking 16.76  s on average to create one AR object in a 50 m radius area, while common desktop-based methods in the literature need 1–8 min on average, depending on the user’s expertise. Usability scores reached 89.44  for manipulability and 85.14  for comprehensibility, demonstrating the high effectiveness in simplifying the outdoor LAR content creation process.
en-copyright=
kn-copyright=

en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=MentariMustika
en-aut-sei=Mentari
en-aut-mei=Mustika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=RahmadaniAlfiandi Aulia
en-aut-sei=Rahmadani
en-aut-mei=Alfiandi Aulia
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil= Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil= Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil= Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil= Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=5
en-affil= Department of Information Technology, Politeknik Negeri Malang
kn-affil=

affil-num=6
en-affil= Department of Information Technology, Politeknik Negeri Malang
kn-affil=
en-keyword=location-based augmented reality (LAR)
kn-keyword=location-based augmented reality (LAR)
en-keyword=authoring tool
kn-keyword=authoring tool
en-keyword=outdoor
kn-keyword=outdoor
en-keyword=VSLAM
kn-keyword=VSLAM
en-keyword=Google Street View (GSV)
kn-keyword=Google Street View (GSV)
en-keyword=handheld augmented reality usability scale (HARUS)
kn-keyword=handheld augmented reality usability scale (HARUS)
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=24
article-no=
start-page=4878
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Implementation of Web-Based Answer Platform in the Flutter Programming Learning Assistant System Using Docker Compose
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Programming has gained significant importance worldwide as societies increasingly rely on computer application systems. To support novices in learning various programming languages, we have developed the Programming Learning Assistant System (PLAS). It offers several types of exercise problems with different learning goals and levels for step-by-step self-study. As a personal answer platform in PLAS, we have implemented a web application using Node.js and EJS for Java and Python programming. Recently, the Flutter framework with Dart programming has become popular, enabling developers to build applications for mobile, web, and desktop environments from a single codebase. Thus, we have extended PLAS by implementing the Flutter environment with Visual Studio Code to support it. Additionally, we have developed an image-based user interface (UI) testing tool to verify student source code by comparing its generated UI image with the standard one using the ORB and SIFT algorithms in OpenCV. For efficient distribution to students, we have generated Docker images of the answer platform, Flutter environment, and image-based UI testing tool. In this paper, we present the implementation of a web-based answer platform for the Flutter Programming Learning Assistant System (FPLAS) by integrating three Docker images using Docker Compose. Additionally, to capture UI images automatically, an Nginx web application server is adopted with its Docker image. For evaluations, we asked 10 graduate students at Okayama University, Japan, to install the answer platform on their PCs and solve five exercise problems. All the students successfully completed the problems, which confirms the validity and effectiveness of the proposed system.
en-copyright=
kn-copyright=

en-aut-name=AungLynn Htet
en-aut-sei=Aung
en-aut-mei=Lynn Htet
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=AungSoe Thandar
en-aut-sei=Aung
en-aut-mei=Soe Thandar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KyawHtoo Htoo Sandi
en-aut-sei=Kyaw
en-aut-mei=Htoo Htoo Sandi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Computer and Information Science, Tokyo University of Agriculture and Technology
kn-affil=

affil-num=5
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=Flutter
kn-keyword=Flutter
en-keyword=Dart
kn-keyword=Dart
en-keyword=answer platform
kn-keyword=answer platform
en-keyword=Flutter environment
kn-keyword=Flutter environment
en-keyword=Nginx
kn-keyword=Nginx
en-keyword=UI testing tool
kn-keyword=UI testing tool
en-keyword=Docker Compose
kn-keyword=Docker Compose
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=12
article-no=
start-page=789
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241209
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Yoga Pose Difficulty Level Estimation Method Using OpenPose for Self-Practice System to Yoga Beginners
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Yoga is an exercise preferable for various users at different ages to enhance physical and mental health. To help beginner yoga self-practitioners avoid getting injured by selecting difficult yoga poses, the information of the difficulty level of yoga poses is very important to provide an objective metric to assist yoga self-practitioners in selecting appropriate exercises on the basis of their skill level by using the yoga self-practice system. To enhance the developed yoga self-practice system, the yoga difficulty level estimation function will enable users to clearly understand whether the selected yoga poses are suitable for them. In this paper, the newest difficulty level estimation method of yoga poses is proposed by using and analyzing OpenPose two-dimensional (2D) human body keypoints. The proposed method effectively uses the selected six keypoints areas of the upper and lower body, body support types, center of gravity calculations, and body tilt angles and slopes to produce estimations. Firstly, the method calculates the weighted centers of the upper and lower human body for each pose by using keypoints. Secondly, it refers the slope of the centroid line between the two centers and infers the body's balance state. Lastly, the system estimates the difficulty level by additionally considering the keypoints of the body to contact the ground. For evaluations of the proposal, more than one hundred yoga poses are collected from the Internet and applied to classify them into five difficulty levels. Through comparisons with subjective levels from one instructor and 10 users, the validity of the estimation results is confirmed, a comparison is performed with existing designs, and it is implemented in embedded systems.
en-copyright=
kn-copyright=

en-aut-name=ShihCheng-Liang
en-aut-sei=Shih
en-aut-mei=Cheng-Liang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=LiuJun-You
en-aut-sei=Liu
en-aut-mei=Jun-You
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=AnggrainiIrin Tri
en-aut-sei=Anggraini
en-aut-mei=Irin Tri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=XiaoYanqi
en-aut-sei=Xiao
en-aut-mei=Yanqi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=FanChih-Peng
en-aut-sei=Fan
en-aut-mei=Chih-Peng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=

affil-num=2
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=

affil-num=3
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Electrical Engineering, National Chung Hsing University
kn-affil=
en-keyword=yoga
kn-keyword=yoga
en-keyword=self-practice
kn-keyword=self-practice
en-keyword=OpenPose
kn-keyword=OpenPose
en-keyword=pose difficulty level
kn-keyword=pose difficulty level
en-keyword=body keypoint
kn-keyword=body keypoint
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=10
article-no=
start-page=622
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241010
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Study of Exergame System Using Hand Gestures for Wrist Flexibility Improvement for Tenosynovitis Prevention
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Currently, as an increasing number of people have been addicted to using cellular phones, smartphone tenosynovitis has become common from long-term use of fingers for their operations. Hand exercise while playing video games, which is called exergame, can be a good solution to provide enjoyable daily exercise opportunities for its prevention, particularly, for young people. In this paper, we implemented a simple exergame system with a hand gesture recognition program made in Python using the Mediapipe library. We designed three sets of hand gestures to control the key operations to play the games as different exercises useful for tenosynovitis prevention. For evaluations, we prepared five video games running on a web browser and asked 10 students from Okayama and Hiroshima Universities, Japan, to play them and answer 10 questions in the questionnaire. Their playing results and System Usability Scale (SUS) scores confirmed the usability of the proposal, although we improved one gesture set to reduce its complexity. Moreover, by measuring the angles for maximum wrist movements, we found that the wrist flexibility was improved by playing the games, which verifies the effectiveness of the proposal.
en-copyright=
kn-copyright=

en-aut-name=XiaoYanqi
en-aut-sei=Xiao
en-aut-mei=Yanqi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=AnggrainiIrin Tri
en-aut-sei=Anggraini
en-aut-mei=Irin Tri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=ShihCheng-Liang
en-aut-sei=Shih
en-aut-mei=Cheng-Liang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=FanChih-Peng
en-aut-sei=Fan
en-aut-mei=Chih-Peng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
en-keyword=exergame
kn-keyword=exergame
en-keyword=tenosynovitis
kn-keyword=tenosynovitis
en-keyword=hand gesture
kn-keyword=hand gesture
en-keyword=Python
kn-keyword=Python
en-keyword=Mediapipe
kn-keyword=Mediapipe
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=10
article-no=
start-page=614
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20241007
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Independent Learning System for Flutter Cross-Platform Mobile Programming with Code Modification Problems
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, with the common use of smartphones in daily lives, mobile applications have become popular around the world, which will lead to a rise in Flutter framework. Developed by Google, Flutter with Dart programming provides a cross-platform development environment to create visually appealing and responsive user interfaces across mobile, web, and desktop platforms using a single codebase. However, due to time and staff limitations, the Flutter/Dart programming course is not included in curricula, even in IT departments in universities. Therefore, independent learning environments for students are essential to meet this growing popularity. Previously, we have developed programming learning assistant system (PLAS) as a web-browser-based self-learning platform for novice students. PLAS offers various types of exercise problems designed to cultivate programming skills step-by-step through a lot of code reading and code writing practices. Among them, one particular type is the code modification problem (CMP), which asks to modify the given source code to satisfy the new specifications. CMP is expected to be solved by novices with little effort if they have knowledge of other programming languages. Thus, PLAS with CMP will be an excellent platform for independent learning. In this paper, we present PLAS with CMP for the independent learning of Flutter/Dart programming. To improve the readability of the source code by students, we provided rich comments on grammar or behaviors. Besides, the code can be downloaded so that students can check and run it on an IDE. For evaluations, we generated 38 CMP instances for basic and multimedia/storage topics in Flutter/Dart programming and assigned them to 21 master students at Okayama University, Japan, who have never studied it. The results confirm the validity of the proposal.
en-copyright=
kn-copyright=

en-aut-name=KinariSafira Adine
en-aut-sei=Kinari
en-aut-mei=Safira Adine
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=AungSoe Thandar
en-aut-sei=Aung
en-aut-mei=Soe Thandar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WaiKhaing Hsu
en-aut-sei=Wai
en-aut-mei=Khaing Hsu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=MentariMustika
en-aut-sei=Mentari
en-aut-mei=Mustika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=PuspitaningayuPradini
en-aut-sei=Puspitaningayu
en-aut-mei=Pradini
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Electrical Engineering, Universitas Negeri Surabaya
kn-affil=
en-keyword=Flutter
kn-keyword=Flutter
en-keyword=Dart
kn-keyword=Dart
en-keyword=cross-platform
kn-keyword=cross-platform
en-keyword=programming
kn-keyword=programming
en-keyword=code modification problem
kn-keyword=code modification problem
en-keyword=PLAS
kn-keyword=PLAS
en-keyword=independent learning
kn-keyword=independent learning
END

start-ver=1.4
cd-journal=joma
no-vol=4
cd-vols=
no-issue=3
article-no=
start-page=295
end-page=312
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240722
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A User Location Reset Method through Object Recognition in Indoor Navigation System Using Unity and a Smartphone (INSUS)
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=To enhance user experiences of reaching destinations in large, complex buildings, we have developed a indoor navigation system using Unity and a smartphone called INSUS. It can reset the user location using a quick response (QR) code to reduce the loss of direction of the user during navigation. However, this approach needs a number of QR code sheets to be prepared in the field, causing extra loads at implementation. In this paper, we propose another reset method to reduce loads by recognizing information of naturally installed signs in the field using object detection and Optical Character Recognition (OCR) technologies. A lot of signs exist in a building, containing texts such as room numbers, room names, and floor numbers. In the proposal, the Sign Image is taken with a smartphone, the sign is detected by YOLOv8, the text inside the sign is recognized by PaddleOCR, and it is compared with each record in the Room Database using Levenshtein distance. For evaluations, we applied the proposal in two buildings in Okayama University, Japan. The results show that YOLOv8 achieved mAP@0.5 0.995 and mAP@0.5:0.95 0.978, and PaddleOCR could extract text in the sign image accurately with an averaged CER% lower than 10%. The combination of both YOLOv8 and PaddleOCR decreases the execution time by 6.71s compared to the previous method. The results confirmed the effectiveness of the proposal.
en-copyright=
kn-copyright=

en-aut-name=FajriantiEvianita Dewi
en-aut-sei=Fajrianti
en-aut-mei=Evianita Dewi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HazAmma Liesvarastranta
en-aut-sei=Haz
en-aut-mei=Amma Liesvarastranta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Informatic and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=
en-keyword=indoor navigation system
kn-keyword=indoor navigation system
en-keyword=INSUS
kn-keyword=INSUS
en-keyword=location reset method
kn-keyword=location reset method
en-keyword=natural sign
kn-keyword=natural sign
en-keyword=text
kn-keyword=text
en-keyword=YOLO
kn-keyword=YOLO
en-keyword=PaddleOCR
kn-keyword=PaddleOCR
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=9
article-no=
start-page=215
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240823
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Study of a Drawing Exactness Assessment Method Using Localized Normalized Cross-Correlations in a Portrait Drawing Learning Assistant System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, portrait drawing has gained significance in cultivating painting skills and human sentiments. In practice, novices often struggle with this art form without proper guidance from professionals, since they lack understanding of the proportions and structures of facial features. To solve this limitation, we have developed a Portrait Drawing Learning Assistant System (PDLAS) to assist novices in learning portrait drawing. The PDLAS provides auxiliary lines as references for facial features that are extracted by applying OpenPose and OpenCV libraries to a face photo image of the target. A learner can draw a portrait on an iPad using drawing software where the auxiliary lines appear on a different layer to the portrait. However, in the current implementation, the PDLAS does not offer a function to assess the exactness of the drawing result for feedback to the learner. In this paper, we present a drawing exactness assessment method using a Localized Normalized Cross-Correlation (NCC) algorithm in the PDLAS. NCC gives a similarity score between the original face photo and drawing result images by calculating the correlation of the brightness distributions. For precise feedback, the method calculates the NCC for each face component by extracting the bounding box. In addition, in this paper, we improve the auxiliary lines for the nose. For evaluations, we asked students at Okayama University, Japan, to draw portraits using the PDLAS, and applied the proposed method to their drawing results, where the application results validated the effectiveness by suggesting improvements in drawing components. The system usability was also confirmed through a questionnaire with a SUS score. The main finding of this research is that the implementation of the NCC algorithm within the PDLAS significantly enhances the accuracy of novice portrait drawings by providing detailed feedback on specific facial features, proving the system's efficacy in art education and training.
en-copyright=
kn-copyright=

en-aut-name=ZhangYue
en-aut-sei=Zhang
en-aut-mei=Yue
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=KongZitong
en-aut-sei=Kong
en-aut-mei=Zitong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HsuChen-Chien
en-aut-sei=Hsu
en-aut-mei=Chen-Chien
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Sciences and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Sciences and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Sciences and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=portrait drawing
kn-keyword=portrait drawing
en-keyword=auxiliary lines
kn-keyword=auxiliary lines
en-keyword=OpenPose
kn-keyword=OpenPose
en-keyword=OpenCV
kn-keyword=OpenCV
en-keyword=normalized cross-correlation (NCC)
kn-keyword=normalized cross-correlation (NCC)
en-keyword=exactness assessment
kn-keyword=exactness assessment
END

start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=8
article-no=
start-page=1005
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240807
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Enhanced Active Access-Point Configuration Algorithm Using the Throughput Request Satisfaction Method for an Energy-Efficient Wireless Local-Area Network
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Wireless Local-Area Networks (WLANs), as a popular internet access solution, are widely used in numerous places, including enterprises, campuses, and public venues. As the number of devices increases, large-scale deployments will cause the problem of dense wireless networks, including a lot of energy consumption. Thus, the optimization of energy-efficient wireless AP devices has become a focal point of attention. To reduce energy consumption, we have proposed the active access-point (AP) configuration algorithm for WLANs using APs with a dual interface. This uses the greedy algorithm combined with the local search optimization method to find the minimum number of activated APs while satisfying the minimum throughput constraint. However, the previous algorithm basically satisfies only the average throughput among the multiple hosts associated with one AP, wherein some hosts may not reach the required one. In this paper, to overcome this limitation, we propose an enhanced active AP configuration algorithm by incorporating the throughput request satisfaction method that controls the actual throughput at the target value (target throughput) for every host by applying traffic shaping. The target throughput is calculated from the single and concurrent communicating throughput of each host based on channel occupancy time. The minimum throughput constraint will be iteratively adjusted to obtain the required target throughput and achieve the fair throughput allocation. For evaluations, we conducted simulations using the WIMNET simulator and experiments using the testbed system with a Raspberry Pi 4B for APs in four topology cases with five APs and ten hosts. The results show that the proposed method always achieved the required minimum throughput in simulations as well as in experiments, while minimizing the number of active APs. Thus, the validity and effectiveness of our proposal were confirmed.
en-copyright=
kn-copyright=

en-aut-name=WuBin
en-aut-sei=Wu
en-aut-mei=Bin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KongDezheng
en-aut-sei=Kong
en-aut-mei=Dezheng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WangXuan
en-aut-sei=Wang
en-aut-mei=Xuan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SetoTaishiro
en-aut-sei=Seto
en-aut-mei=Taishiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=FanYu-Cheng
en-aut-sei=Fan
en-aut-mei=Yu-Cheng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Electronic Engineering, National Taipei University of Technology
kn-affil=
en-keyword=energy-efficient WLAN
kn-keyword=energy-efficient WLAN
en-keyword=IoT
kn-keyword=IoT
en-keyword=active AP configuration algorithm
kn-keyword=active AP configuration algorithm
en-keyword=throughput request satisfaction method
kn-keyword=throughput request satisfaction method
en-keyword=throughput control
kn-keyword=throughput control
en-keyword=traffic shaping
kn-keyword=traffic shaping
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=8
article-no=
start-page=464
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240803
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Image-Based User Interface Testing Method for Flutter Programming Learning Assistant System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Flutter has become popular for providing a uniform development environment for user interfaces (UIs) on smart phones, web browsers, and desktop applications. We have developed the Flutter programming learning assistant system (FPLAS) to assist its novice students' self-study. We implemented the Docker-based Flutter environment with Visual Studio Code and three introductory exercise projects. However, the correctness of students' answers is manually checked, although automatic checking is necessary to reduce teachers' workload and provide quick responses to students. This paper presents an image-based user interface (UI) testing method to automate UI testing by the answer code using the Flask framework. This method produces the UI image by running the answer code and compares it with the image made by the model code for the assignment using ORB and SIFT algorithms in the OpenCV library. One notable aspect is the necessity to capture multiple UI screenshots through page transitions by user input actions for the accurate detection of changes in UI elements. For evaluations, we assigned five Flutter exercise projects to fourth-year bachelor and first-year master engineering students at Okayama University, Japan, and applied the proposed method to their answers. The results confirm the effectiveness of the proposal.
en-copyright=
kn-copyright=

en-aut-name=AungSoe Thandar
en-aut-sei=Aung
en-aut-mei=Soe Thandar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=AungLynn Htet
en-aut-sei=Aung
en-aut-mei=Lynn Htet
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KinariSafira Adine
en-aut-sei=Kinari
en-aut-mei=Safira Adine
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=WaiKhaing Hsu
en-aut-sei=Wai
en-aut-mei=Khaing Hsu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=MentariMustika
en-aut-sei=Mentari
en-aut-mei=Mustika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
en-keyword=Flutter
kn-keyword=Flutter
en-keyword=FPLAS
kn-keyword=FPLAS
en-keyword=testing
kn-keyword=testing
en-keyword=image
kn-keyword=image
en-keyword=Flask
kn-keyword=Flask
en-keyword=OpenCV
kn-keyword=OpenCV
en-keyword=user interface
kn-keyword=user interface
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=15
article-no=
start-page=2930
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240724
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Performance Investigations of VSLAM and Google Street View Integration in Outdoor Location-Based Augmented Reality under Various Lighting Conditions
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The growing demand for Location-based Augmented Reality (LAR) experiences has driven the integration of Visual Simultaneous Localization And Mapping (VSLAM) with Google Street View (GSV) to enhance the accuracy. However, the impact of the ambient light intensity on the accuracy and reliability is underexplored, posing significant challenges in outdoor LAR implementations. This paper investigates the impact of light conditions on the accuracy and reliability of the VSLAM/GSV integration approach in outdoor LAR implementations. This study fills a gap in the current literature and offers valuable insights into vision-based approach implementation under different light conditions. Extensive experiments were conducted at five Point of Interest (POI) locations under various light conditions with a total of 100 datasets. Descriptive statistic methods were employed to analyze the data and assess the performance variation. Additionally, the Analysis of Variance (ANOVA) analysis was utilized to assess the impact of different light conditions on the accuracy metric and horizontal tracking time, determining whether there are significant differences in performance across varying levels of light intensity. The experimental results revealed that a significant correlation (p < 0.05) exists between the ambient light intensity and the accuracy of the VSLAM/GSV integration approach. Through the confidence interval estimation, the minimum illuminance 434 lx is needed to provide a feasible and consistent accuracy. Variations in visual references, such as wet surfaces in the rainy season, also impact the horizontal tracking time and accuracy.
en-copyright=
kn-copyright=

en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=RiyantokoPrismahardi Aji
en-aut-sei=Riyantoko
en-aut-mei=Prismahardi Aji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=MentariMustika
en-aut-sei=Mentari
en-aut-mei=Mustika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=light intensity
kn-keyword=light intensity
en-keyword=Location-based Augmented Reality (LAR)
kn-keyword=Location-based Augmented Reality (LAR)
en-keyword=outdoor
kn-keyword=outdoor
en-keyword=Visual Simultaneous Localization And Mapping (VSLAM)
kn-keyword=Visual Simultaneous Localization And Mapping (VSLAM)
en-keyword=Google Street View (GSV)
kn-keyword=Google Street View (GSV)
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=14
article-no=
start-page=2700
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240710
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Reference Paper Collection System Using Web Scraping
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Collecting reference papers from the Internet is one of the most important activities for progressing research and writing papers about their results. Unfortunately, the current process using Google Scholar may not be efficient, since a lot of paper files cannot be accessed directly by the user. Even if they are accessible, their effectiveness needs to be checked manually. In this paper, we propose a reference paper collection system using web scraping to automate paper collections from websites. This system can collect or monitor data from the Internet, which is considered as the environment, using Selenium, a popular web scraping software, as the sensor; this examines the similarity against the search target by comparing the keywords using the Bert model. The Bert model is a deep learning model for natural language processing (NLP) that can understand context by analyzing the relationships between words in a sentence bidirectionally. The Python Flask is adopted at the web application server, where Angular is used for data presentations. For the evaluation, we measured the performance, investigated the accuracy, and asked members of our laboratory to use the proposed method and provide their feedback. Their results confirm the method’s effectiveness.
en-copyright=
kn-copyright=

en-aut-name=NaingInzali
en-aut-sei=Naing
en-aut-mei=Inzali
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=AungSoe Thandar
en-aut-sei=Aung
en-aut-mei=Soe Thandar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=WaiKhaing Hsu
en-aut-sei=Wai
en-aut-mei=Khaing Hsu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
en-keyword=web scraping
kn-keyword=web scraping
en-keyword=Google Scholar
kn-keyword=Google Scholar
en-keyword=data collection
kn-keyword=data collection
en-keyword=Bert
kn-keyword=Bert
en-keyword=Selenium
kn-keyword=Selenium
en-keyword=flask framework
kn-keyword=flask framework
en-keyword=Angular
kn-keyword=Angular
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=4
article-no=
start-page=191
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240330
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Study of Learning Environment for Initiating Flutter App Development Using Docker
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The Flutter framework with Dart programming allows developers to effortlessly build applications for both web and mobile from a single codebase. It enables efficient conversions to native codes for mobile apps and optimized JavaScript for web browsers. Since utilizing a wide range of widgets in Flutter ensures consistent experiences on various devices for users, it becomes crucial in programming education by providing a unified environment for learning app development while reducing the need for platform-specific knowledge. However, the setup of the Flutter environment is challenging for novice students due to its multiple steps, such as installing dependencies and configuring environments. To support independent learning for these students, it is essential to simplify the setup by providing user-friendly instructions and automated tools. In this paper, we present a Docker-based environment for Flutter app developments across Windows, Linux, and Mac through Visual Studio Code, ensuring a unified learning experience. This paper aims to simplify complex configurations and address the obstacles encountered by students when initiating Flutter projects. For the evaluation, we prepared three simple Flutter projects along with the setup environment in a Docker container. Then, we asked 24 Master's students at Okayama University, Japan, to install the environment and modify the source codes in the projects independently by following the given instructions. The results show that all the students successfully completed the assignments, which confirms the efficiency and validity of our proposal.
en-copyright=
kn-copyright=

en-aut-name=AungSoe Thandar
en-aut-sei=Aung
en-aut-mei=Soe Thandar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=AungLynn Htet
en-aut-sei=Aung
en-aut-mei=Lynn Htet
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KinariSafira Adine
en-aut-sei=Kinari
en-aut-mei=Safira Adine
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=MentariMustika
en-aut-sei=Mentari
en-aut-mei=Mustika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=WaiKhaing Hsu
en-aut-sei=Wai
en-aut-mei=Khaing Hsu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=
en-keyword=Flutter
kn-keyword=Flutter
en-keyword=Dart
kn-keyword=Dart
en-keyword=app
kn-keyword=app
en-keyword=Docker
kn-keyword=Docker
en-keyword=Visual Studio Code
kn-keyword=Visual Studio Code
en-keyword=environment
kn-keyword=environment
en-keyword=code modification
kn-keyword=code modification
END

start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=7
article-no=
start-page=2173
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240328
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Application of Throughput Request Satisfaction Method for Maximizing Concurrent Throughput in WLAN for IoT Application System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=With the wide applications of the Internet of Things (IoT) in smart home systems, IEEE 802.11n Wireless Local Area Networks (WLANs) have become a frequently chosen communication technology due to their adaptability and affordability. In a high-density network of devices such as the smart home scenerio, a host often meets interferences from other devices and unequal Received Signal Strength (RSS) from Access Points (APs). This results in throughput unfairness/insufficiency problems between hosts communicating concurrently in WLAN. Previously, we have studied the throughput request satisfaction method to address this problem. It calculates the target throughput from measured single and concurrent throughputs of hosts and controls the actual throughput at this target one by applying traffic shaping at the AP. However, the insufficiency problem of maximizing the throughput is not solved due to interferences from other hosts. In this paper, we present an extension of the throughput request satisfaction method to maximize the throughput of a high-priority host under concurrent communications. It recalculates the target throughput to increase the actual throughput as much as possible while the other hosts satisfy the least throughput. For evaluations, we conduct experiments using the test-bed system with Raspberry Pi as the AP devices in several topologies in indoor environments. The results confirm the effectiveness of our proposal.
en-copyright=
kn-copyright=

en-aut-name=WuBin
en-aut-sei=Wu
en-aut-mei=Bin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=RoySujan Chandra
en-aut-sei=Roy
en-aut-mei=Sujan Chandra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=RahmanMd. Mahbubur
en-aut-sei=Rahman
en-aut-mei=Md. Mahbubur
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KongDezheng
en-aut-sei=Kong
en-aut-mei=Dezheng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=FangShihao
en-aut-sei=Fang
en-aut-mei=Shihao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Raspberry Pi
kn-keyword=Raspberry Pi
en-keyword=WLAN
kn-keyword=WLAN
en-keyword=traffic shaping
kn-keyword=traffic shaping
en-keyword=access point
kn-keyword=access point
en-keyword=target throughput
kn-keyword=target throughput
en-keyword=throughput maximization
kn-keyword=throughput maximization
en-keyword=high-density IoT networks
kn-keyword=high-density IoT networks
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=3
article-no=
start-page=153
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240309
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In this paper, we have developed the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform for fast deployments of IoT application systems. It provides various integration capabilities for the collection, display, and analysis of sensor data on a single platform. Recently, Artificial Intelligence (AI) has become very popular and widely used in various applications including IoT. To support this growth, the integration of AI into SEMAR is essential to enhance its capabilities after identifying the current trends of applicable AI technologies in IoT applications. In this paper, we first provide a comprehensive review of IoT applications using AI techniques in the literature. They cover predictive analytics, image classification, object detection, text spotting, auditory perception, Natural Language Processing (NLP), and collaborative AI. Next, we identify the characteristics of each technique by considering the key parameters, such as software requirements, input/output (I/O) data types, processing methods, and computations. Third, we design the integration of AI techniques into SEMAR based on the findings. Finally, we discuss use cases of SEMAR for IoT applications with AI techniques. The implementation of the proposed design in SEMAR and its use to IoT applications will be in future works.
en-copyright=
kn-copyright=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FajriantiEvianita Dewi
en-aut-sei=Fajrianti
en-aut-mei=Evianita Dewi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FangShihao
en-aut-sei=Fang
en-aut-mei=Shihao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Informatic and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword=AI
kn-keyword=AI
en-keyword=integration
kn-keyword=integration
en-keyword=survey
kn-keyword=survey
en-keyword=application server platform
kn-keyword=application server platform
en-keyword=SEMAR
kn-keyword=SEMAR
END

start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=4
article-no=
start-page=1161
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240209
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Enhancement of Outdoor Location-Based Augmented Reality Anchor Precision through VSLAM and Google Street View
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Outdoor Location-Based Augmented Reality (LAR) applications require precise positioning for seamless integrations of virtual content into immersive experiences. However, common solutions in outdoor LAR applications rely on traditional smartphone sensor fusion methods, such as the Global Positioning System (GPS) and compasses, which often lack the accuracy needed for precise AR content alignments. In this paper, we introduce an innovative approach to enhance LAR anchor precision in outdoor environments. We leveraged Visual Simultaneous Localization and Mapping (VSLAM) technology, in combination with innovative cloud-based methodologies, and harnessed the extensive visual reference database of Google Street View (GSV), to address the accuracy limitation problems. For the evaluation, 10 Point of Interest (POI) locations were used as anchor point coordinates in the experiments. We compared the accuracies between our approach and the common sensor fusion LAR solution comprehensively involving accuracy benchmarking and running load performance testing. The results demonstrate substantial enhancements in overall positioning accuracies compared to conventional GPS-based approaches for aligning AR anchor content in the real world.
en-copyright=
kn-copyright=

en-aut-name=BrataKomang Candra
en-aut-sei=Brata
en-aut-mei=Komang Candra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FajriantiEvianita Dewi
en-aut-sei=Fajrianti
en-aut-mei=Evianita Dewi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=location-based
kn-keyword=location-based
en-keyword=augmented reality
kn-keyword=augmented reality
en-keyword=SLAM
kn-keyword=SLAM
en-keyword=cloud-based matching
kn-keyword=cloud-based matching
en-keyword=Android
kn-keyword=Android
END

start-ver=1.4
cd-journal=joma
no-vol=4
cd-vols=
no-issue=2
article-no=
start-page=274
end-page=296
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230403
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Study of the Active Access-Point Configuration Algorithm under Channel Bonding to Dual IEEE 802.11n and 11ac Interfaces in an Elastic WLAN System for IoT Applications
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Currently, Internet of Things (IoT) has become common in various applications, including smart factories, smart cities, and smart homes. In them, wireless local-area networks (WLANs) are widely used due to their high-speed data transfer, flexible coverage ranges, and low costs. To enhance the performance, the WLAN configuration should be optimized in dense WLAN environments where multiple access points (APs) and hosts exist. Previously, we have studied the active AP configuration algorithm for dual interfaces using IEEE802.11n and 11ac protocols at each AP under non-channel bonding (non-CB). In this paper, we study the algorithm considering the channel bonding (CB) to enhance its capacity by bonding two channels together. To improve the throughput estimation accuracy of the algorithm, the reduction factor is introduced at contending hosts for the same AP. For evaluations, we conducted extensive experiments using the WIMENT simulator and the testbed system using Raspberry Pi 4B APs. The results show that the estimated throughput is well matched with the measured one, and the proposal achieves the higher throughput with a smaller number of active APs than the previous configurations.
en-copyright=
kn-copyright=

en-aut-name=RoySujan Chandra
en-aut-sei=Roy
en-aut-mei=Sujan Chandra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=RahmanMd. Mahbubur
en-aut-sei=Rahman
en-aut-mei=Md. Mahbubur
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WuBin
en-aut-sei=Wu
en-aut-mei=Bin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Department Electrical and Electronic Engineering, Jatiya Kabi Kazi Nazrul Islam University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword=WLAN
kn-keyword=WLAN
en-keyword=access-points configuration
kn-keyword=access-points configuration
en-keyword=dual interface
kn-keyword=dual interface
en-keyword=channel bonding
kn-keyword=channel bonding
en-keyword=WIMNET
kn-keyword=WIMNET
en-keyword=Raspberry Pi 4B
kn-keyword=Raspberry Pi 4B
en-keyword=IEEE802.11n
kn-keyword=IEEE802.11n
en-keyword=11ac
kn-keyword=11ac
END

start-ver=1.4
cd-journal=joma
no-vol=23
cd-vols=
no-issue=14
article-no=
start-page=6367
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230713
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Interface Setup Optimization Method Using a Throughput Estimation Model for Concurrently Communicating Access Points in a Wireless Local Area Network
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The IEEE 802.11 wireless local-area network (WLAN) has been deployed around the globe as a major Internet access medium due to its low cost and high flexibility and capacity. Unfortunately, dense wireless networks can suffer from poor performance due to high levels of radio interference resulting from adjoining access points (APs). To address this problem, we studied the AP transmission power optimization method, which selects the maximum or minimum power supplied to each AP so that the average signal-to-interference ratio (SIR) among the concurrently communicating APs is maximized.However, this method requires measurements of receiving signal strength (RSS) under all the possible combinations of powers. It may need intolerable loads and time as the number of APs increases. It also only considers the use of channel bonding (CB), although non-CB sometimes achieves higher performance under high levels of interference. In this paper, we present an AP interface setup optimization method using the throughput estimation model for concurrently communicating APs. The proposed method selects CB or non-CB in addition to the maximum or minimum power for each AP. This model approach avoids expensive costs of RSS measurements under a number of combinations. To estimate the RSS at an AP from another AP or a host, the model needs the distance and the obstacles between them, such as walls. Then, by calculating the estimated RSS with the model and calculating the SIR from them, the AP interface setups for a lot of APs in a large-scale wireless network can be optimized on a computer in a very short time. For evaluation, we conducted extensive experiments using Raspberry Pi for APs and Linux PCs for hosts under 12 network topologies in three buildings at Okayama University, Japan, and Jatiya Kabi Kazi Nazrul Islam University, Bangladesh. The results confirm that the proposed method selects the best AP interface setup with the highest total throughput in any topology.
en-copyright=
kn-copyright=

en-aut-name=AkhterFatema
en-aut-sei=Akhter
en-aut-mei=Fatema
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=HtetEi Ei
en-aut-sei=Htet
en-aut-mei=Ei Ei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=WuBin
en-aut-sei=Wu
en-aut-mei=Bin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KongDezheng
en-aut-sei=Kong
en-aut-mei=Dezheng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=FangShihao
en-aut-sei=Fang
en-aut-mei=Shihao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=wireless local area network
kn-keyword=wireless local area network
en-keyword=signal-to-interference ratio
kn-keyword=signal-to-interference ratio
en-keyword=interface setup optimization
kn-keyword=interface setup optimization
en-keyword=throughput estimation model
kn-keyword=throughput estimation model
en-keyword=channel bonding
kn-keyword=channel bonding
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=7
article-no=
start-page=359
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230624
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=INSUS: Indoor Navigation System Using Unity and Smartphone for User Ambulation Assistance
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Currently, outdoor navigation systems have widely been used around the world on smartphones. They rely on GPS (Global Positioning System). However, indoor navigation systems are still under development due to the complex structure of indoor environments, including multiple floors, many rooms, steps, and elevators. In this paper, we present the design and implementation of the Indoor Navigation System using Unity and Smartphone (INSUS). INSUS shows the arrow of the moving direction on the camera view based on a smartphone's augmented reality (AR) technology. To trace the user location, it utilizes the Simultaneous Localization and Mapping (SLAM) technique with a gyroscope and a camera in a smartphone to track users' movements inside a building after initializing the current location by the QR code. Unity is introduced to obtain the 3D information of the target indoor environment for Visual SLAM. The data are stored in the IoT application server called SEMAR for visualizations. We implement a prototype system of INSUS inside buildings in two universities. We found that scanning QR codes with the smartphone perpendicular in angle between 60 degrees and 100 degrees achieves the highest QR code detection accuracy. We also found that the phone's tilt angles influence the navigation success rate, with 90 degrees to 100 degrees tilt angles giving better navigation success compared to lower tilt angles. INSUS also proved to be a robust navigation system, evidenced by near identical navigation success rate results in navigation scenarios with or without disturbance. Furthermore, based on the questionnaire responses from the respondents, it was generally found that INSUS received positive feedback and there is support to improve the system.
en-copyright=
kn-copyright=

en-aut-name=FajriantiEvianita Dewi
en-aut-sei=Fajrianti
en-aut-mei=Evianita Dewi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=DezhengKong
en-aut-sei=Dezheng
en-aut-mei=Kong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=ShihaoFang
en-aut-sei=Shihao
en-aut-mei=Fang
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=Surya Pradhana Anak Agung
en-aut-sei=Surya Pradhana
en-aut-mei= Anak Agung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Informatic and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=7
en-affil=Indonesian Institute of Business and Technology (INSTIKI)
kn-affil=
en-keyword=indoor navigation system
kn-keyword=indoor navigation system
en-keyword=INSUS
kn-keyword=INSUS
en-keyword=unity
kn-keyword=unity
en-keyword=QR code
kn-keyword=QR code
en-keyword=smartphone
kn-keyword=smartphone
en-keyword=SEMAR
kn-keyword=SEMAR
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=6
article-no=
start-page=312
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230529
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Edge Device Framework in SEMAR IoT Application Server Platform
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, the Internet of Things (IoT) has become widely used at various places and for various applications. To facilitate this trend, we have developed the IoT application server platform called SEMAR (Smart Environmental Monitoring and Analytical in Real-Time), which offers standard features for collecting, displaying, and analyzing sensor data. An edge device is usually installed to connect sensors with the server, where the interface configuration, the data processing, the communication protocol, and the transmission interval need to be defined by the user. In this paper, we proposed an edge device framework for SEMAR to remotely optimize the edge device utilization with three phases. In the initialization phase, it automatically downloads the configuration file to the device through HTTP communications. In the service phase, it converts data from various sensors into the standard data format and sends it to the server periodically. In the update phase, it remotely updates the configuration through MQTT communications. For evaluations, we applied the proposal to the fingerprint-based indoor localization system (FILS15.4) and the data logging system. The results confirm the effectiveness in utilizing SEMAR to develop IoT application systems.
en-copyright=
kn-copyright=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=ItoSho
en-aut-sei=Ito
en-aut-mei=Sho
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HusnaRadhiatul
en-aut-sei=Husna
en-aut-mei=Radhiatul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=OkayasuMitsuhiro
en-aut-sei=Okayasu
en-aut-mei=Mitsuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=ShimazuJunya
en-aut-sei=Shimazu
en-aut-mei=Junya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=7
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=8
en-affil=Department of Informatic and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword=edge device
kn-keyword=edge device
en-keyword=framework
kn-keyword=framework
en-keyword=application server platform
kn-keyword=application server platform
en-keyword=SEMAR
kn-keyword=SEMAR
END

start-ver=1.4
cd-journal=joma
no-vol=14
cd-vols=
no-issue=6
article-no=
start-page=300
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230523
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Web-Based Docker Image Assistant Generation Tool for User-PC Computing System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Currently, we are developing the user-PC computing (UPC) system based on the master-worker model as a scalable, low-cost, and high-performance computing platform. To run various application programs on personal computers (PCs) with different environments for workers, it adopts Docker technology to bundle every necessary software as one image file. Unfortunately, the Docker file/image are manually generated through multiple steps by a user, which can be the bottleneck. In this paper, we present a web-based Docker image assistant generation (DIAG) tool in the UPC system to assist or reduce these process steps. It adopts Angular JavaScript for offering user interfaces, PHP Laravel for handling logic using RestAPI, MySQL database for storing data, and Shell scripting for speedily running the whole program. In addition, the worker-side code modification function is implemented so that a user can modify the source code of the running job and update the Docker image at a worker to speed up them. For evaluations, we collected 30 Docker files and 10 OpenFOAM jobs through reverse processing from Docker images in Github and generated the Docker images using the tool. Moreover, we modified source codes for network simulations and generated the Docker images in a worker five times. The results confirmed the validity of the proposal.
en-copyright=
kn-copyright=

en-aut-name=AungLynn Htet
en-aut-sei=Aung
en-aut-mei=Lynn Htet
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=AungSoe Thandar
en-aut-sei=Aung
en-aut-mei=Soe Thandar
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=ZhouXudong
en-aut-sei=Zhou
en-aut-mei=Xudong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=XiangXu
en-aut-sei=Xiang
en-aut-mei=Xu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=Docker
kn-keyword=Docker
en-keyword=automatic generation
kn-keyword=automatic generation
en-keyword=Angular
kn-keyword=Angular
en-keyword=Laravel
kn-keyword=Laravel
en-keyword=MySQL
kn-keyword=MySQL
en-keyword=Shell scripting
kn-keyword=Shell scripting
en-keyword=image update
kn-keyword=image update
en-keyword=UPC system
kn-keyword=UPC system
END

start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=1
article-no=
start-page=45
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230109
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Three Diverse Applications of General-Purpose Parameter Optimization Algorithm
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Parameters often take key roles in determining the accuracy of algorithms, logics, and models for practical applications. Previously, we have proposed a general-purpose parameter optimization algorithm, and studied its applications in various practical problems. This algorithm optimizes the parameter values by repeating small changes of them based on a local search method with hill-climbing capabilities. In this paper, we present three diverse applications of this algorithm to show the versatility and effectiveness. The first application is the fingerprint-based indoor localization system using IEEE802.15.4 devices called FILS15.4 that can detect the location of a user in an indoor environment. It is shown that the number of fingerprints for each detection point, the fingerprint values, and the detection interval are optimized together, and the average detection accuracy exceeds 99%. The second application is the human face contour approximation model that is described by a combination of half circles, line segments, and a quadratic curve. It is shown that the simple functions can well approximate the face contour of various persons by optimizing the center coordinates, radii, and coefficients. The third application is the computational fluid dynamic (CFD) simulation to estimate temperature changes in a room. It is shown that the thermal conductivity is optimized to make the average temperature difference between the estimated and measured 0.22 &#8451;.
en-copyright=
kn-copyright=

en-aut-name=HuoYuanzhi
en-aut-sei=Huo
en-aut-mei=Yuanzhi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=PuspitaningayuPradini
en-aut-sei=Puspitaningayu
en-aut-mei=Pradini
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HamazakiKazushi
en-aut-sei=Hamazaki
en-aut-mei=Kazushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=ZhaoYihan
en-aut-sei=Zhao
en-aut-mei=Yihan
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=KojimaKazuyuki
en-aut-sei=Kojima
en-aut-mei=Kazuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Information and Communication Systems, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Mechanical Engineering, Shonan Institute of Technology
kn-affil=

affil-num=7
en-affil=Department of Mechanical Engineering, Shonan Institute of Technology
kn-affil=
en-keyword=parameter optimization
kn-keyword=parameter optimization
en-keyword=application
kn-keyword=application
en-keyword=indoor localization
kn-keyword=indoor localization
en-keyword=face contour model
kn-keyword=face contour model
en-keyword=computational fluid dynamics
kn-keyword=computational fluid dynamics
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=12
article-no=
start-page=471
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20221211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Proposal of Printed Table Digitization Algorithm with Image Processing
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, digital transformation (DX) is the key concept to change and improve the operations in governments, companies, and schools. Therefore, any data should be digitized for processing by computers. Unfortunately, a lot of data and information are printed and handled on paper, although they may originally come from digital sources. Data on paper can be digitized using an optical character recognition (OCR) software. However, if the paper contains a table, it becomes difficult because of the separated characters by rows and columns there. It is necessary to solve the research question of "how to convert a printed table on paper into an Excel table while keeping the relationships between the cells?" In this paper, we propose a printed table digitization algorithm using image processing techniques and OCR software for it. First, the target paper is scanned into an image file. Second, each table is divided into a collection of cells where the topology information is obtained. Third, the characters in each cell are digitized by OCR software. Finally, the digitalized data are arranged in an Excel file using the topology information. We implement the algorithm on Python using OpenCV for the image processing library and Tesseract for the OCR software. For evaluations, we applied the proposal to 19 scanned and 17 screenshotted table images. The results show that for any image, the Excel file is generated with the correct structure, and some characters are misrecognized by OCR software. The improvement will be in future works.
en-copyright=
kn-copyright=

en-aut-name=ShiChenrui
en-aut-sei=Shi
en-aut-mei=Chenrui
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=HuoYuanzhi
en-aut-sei=Huo
en-aut-mei=Yuanzhi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=MentariMustika
en-aut-sei=Mentari
en-aut-mei=Mustika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SugaKohei
en-aut-sei=Suga
en-aut-mei=Kohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=ToshidaTakashi
en-aut-sei=Toshida
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Department of Information and Communication Systems, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Communication Systems, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information and Communication Systems, Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Information Technology, State Polytechnic of Malang
kn-affil=

affil-num=5
en-affil=Astrolab
kn-affil=

affil-num=6
en-affil=Astrolab
kn-affil=
en-keyword=digitization
kn-keyword=digitization
en-keyword=printed table
kn-keyword=printed table
en-keyword=OCR
kn-keyword=OCR
en-keyword=Python
kn-keyword=Python
en-keyword=OpenCV
kn-keyword=OpenCV
en-keyword=Tesseract
kn-keyword=Tesseract
END

start-ver=1.4
cd-journal=joma
no-vol=22
cd-vols=
no-issue=22
article-no=
start-page=8823
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20221115
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Throughput Request Satisfaction Method for Concurrently Communicating Multiple Hosts in Wireless Local Area Network
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, the IEEE 802.11 wireless local area network (WLAN) has been widely used for Internet access services around the world. Then, the unfairness or insufficiency in meeting the throughput request can appear among concurrently communicating hosts with the same access point (AP), which should be solved by sacrificing advantageous hosts. Previously, we studied the fairness control method by adopting packet transmission delay at the AP. However, it suffers from slow convergence and may not satisfy different throughput requests among hosts. In this paper, we propose a throughput request satisfaction method for providing fair or different throughput requests when multiple hosts are concurrently communicating with a single AP. To meet the throughput request, the method (1) measures the single and concurrent throughput for each host, (2) calculates the channel occupying time from them, (3) derives the target throughput to achieve the given throughput request, and (4) controls the traffic by applying traffic shaping at the AP. For evaluations, we implemented the proposal in the WLAN testbed system with one Raspberry Pi AP and up to five hosts, and conducted extensive experiments in five scenarios with different throughput requests. The results confirmed the effectiveness of our proposal.
en-copyright=
kn-copyright=

en-aut-name=RahmanMd Mahbubur
en-aut-sei=Rahman
en-aut-mei=Md Mahbubur
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=MuneneKwenga Ismael
en-aut-sei=Munene
en-aut-mei=Kwenga Ismael
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=RoySujan Chandra
en-aut-sei=Roy
en-aut-mei=Sujan Chandra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=GuloMelki Mario
en-aut-sei=Gulo
en-aut-mei=Melki Mario
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya
kn-affil=

affil-num=7
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=Raspberry Pi
kn-keyword=Raspberry Pi
en-keyword=WLAN
kn-keyword=WLAN
en-keyword=traffic shaping
kn-keyword=traffic shaping
en-keyword=access point
kn-keyword=access point
en-keyword=fairness
kn-keyword=fairness
en-keyword=throughput request
kn-keyword=throughput request
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=10
article-no=
start-page=369
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20221007
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Static Assignment Algorithm of Uniform Jobs to Workers in a User-PC Computing System Using Simultaneous Linear Equations
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Currently, the User-PC computingsystem (UPC) has been studied as a low-cost and high-performance distributed computing platform. It uses idling resources of personal computers (PCs) in a group. The job-worker assignment for minimizing makespan is critical to determine the performance of the UPC system. Some applications need to execute a lot of uniform jobs that use the identical program but with slightly different data, where they take the similar CPU time on a PC. Then, the total CPU time of a worker is almost linear to the number of assigned jobs. In this paper, we propose a static assignment algorithm of uniform jobs to workers in the UPC system, using simultaneous linear equations to find the lower bound on makespan, where every worker requires the same CPU time to complete the assigned jobs. For the evaluations of the proposal, we consider the uniform jobs in three applications. In OpenPose, the CNN-based keypoint estimation program runs with various images of human bodies. In OpenFOAM, the physics simulation program runs with various parameter sets. In code testing, two open-source programs run with various source codes from students for the Android programming learning assistance system (APLAS). Using the proposal, we assigned the jobs to six workers in the testbed UPC system and measured the CPU time. The results show that makespan was reduced by 10% on average, which confirms the effectiveness of the proposal.
en-copyright=
kn-copyright=

en-aut-name=ZhouXudong
en-aut-sei=Zhou
en-aut-mei=Xudong
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=HtetHein
en-aut-sei=Htet
en-aut-mei=Hein
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KamoyedjiAriel
en-aut-sei=Kamoyedji
en-aut-mei=Ariel
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=AnggrainiIrin Tri
en-aut-sei=Anggraini
en-aut-mei=Irin Tri
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=HuoYuanzhi
en-aut-sei=Huo
en-aut-mei=Yuanzhi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=7
en-affil=Information Technology Department, State Polytechnic of Malang
kn-affil=
en-keyword=UPC
kn-keyword=UPC
en-keyword=distributed computing platform
kn-keyword=distributed computing platform
en-keyword=uniform job
kn-keyword=uniform job
en-keyword=static assignment
kn-keyword=static assignment
en-keyword=linear equations
kn-keyword=linear equations
END

start-ver=1.4
cd-journal=joma
no-vol=20
cd-vols=
no-issue=
article-no=
start-page=100583
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=202211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A throughput drop estimation model and its application to joint optimization of transmission power, frequency channel, and channel bonding in IEEE 802.11n WLAN for large-scale IoT environments
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The concept of Internet of Things (IoT) has been widely studied in smart home networks, smart city networks, smart grid systems, autonomous driving systems, and smart healthcare systems. In IoT, the IEEE 802.11n wireless local-area network (WLAN) is used as a common communication technology due to its exibility and low cost. Then, the high performance WLAN is required to enhance quality of service (QoS) of large-scale IoT applications connecting a number of devices or sensors allocated in wide areas. WLAN can use the limited number of partially overlapping channels (POCs) at 2.4 GHz band. The WLAN performance can be degraded by interfered signals from other WLANs. Then, to optimize the POC assignment by reducing interferences, we have proposed the throughput drop estimation model for concurrently communicating multiple links under interferences. Unfortunately, the 40 MHz channel bonding (CB) and the 20 MHz non-CB are considered separately, while the transmission power is always fixed to the maximum. In this paper, we study the throughput drop estimation model under coexistence of CB and non-CB while the transmission power is changed. Then, we present its application to the joint optimization of assigning the transmission power, the frequency channel, and the channel bonding to enhance the throughput performance of IEEE 802.11n WLAN. For evaluations, we compare estimated throughputs by the model with measured ones in various network topologies to verify the model accuracy. Then, we apply the model to the joint assignment optimization in them, and confirm the effectiveness through simulations and experiments using the testbed system.
en-copyright=
kn-copyright=

en-aut-name=MuneneKwenga Ismael
en-aut-sei=Munene
en-aut-mei=Kwenga Ismael
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=RahmanMd. Mahbubur
en-aut-sei=Rahman
en-aut-mei=Md. Mahbubur
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=BriantoroHendy
en-aut-sei=Briantoro
en-aut-mei=Hendy
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=RoySujan Chandra
en-aut-sei=Roy
en-aut-mei=Sujan Chandra
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword=WLAN
kn-keyword=WLAN
en-keyword=partially overlapping channel
kn-keyword=partially overlapping channel
en-keyword=access point
kn-keyword=access point
en-keyword=transmission power
kn-keyword=transmission power
en-keyword=channel bonding
kn-keyword=channel bonding
en-keyword=non-channel bonding
kn-keyword=non-channel bonding
en-keyword=throughput drop
kn-keyword=throughput drop
END

start-ver=1.4
cd-journal=joma
no-vol=22
cd-vols=
no-issue=17
article-no=
start-page=6436
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20220826
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Design and Implementation of SEMAR IoT Server Platform with Applications
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, rapid developments of Internet of Things (IoT) technologies have increased possibilities of realizing smart cities where collaborations and integrations of various IoT application systems are essential. However, IoT application systems have often been designed and deployed independently without considering the standards of devices, logics, and data communications. In this paper, we present the design and implementation of the IoT server platform called Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) for integrating IoT application systems using standards. SEMAR offers Big Data environments with built-in functions for data aggregations, synchronizations, and classifications with machine learning. Moreover, plug-in functions can be easily implemented. Data from devices for different sensors can be accepted directly and through network connections, which will be used in real-time for user interfaces, text files, and access to other systems through Representational State Transfer Application Programming Interface (REST API) services. For evaluations of SEMAR, we implemented the platform and integrated five IoT application systems, namely, the air-conditioning guidance system, the fingerprint-based indoor localization system, the water quality monitoring system, the environment monitoring system, and the air quality monitoring system. When compared with existing research on IoT platforms, the proposed SEMAR IoT application server platform offers higher flexibility and interoperability with the functions for IoT device managements, data communications, decision making, synchronizations, and filters that can be easily integrated with external programs or IoT applications without changing the codes. The results confirm the effectiveness and efficiency of the proposal.
en-copyright=
kn-copyright=

en-aut-name=PandumanYohanes Yohanie Fridelin
en-aut-sei=Panduman
en-aut-mei=Yohanes Yohanie Fridelin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=PuspitaningayuPradini
en-aut-sei=Puspitaningayu
en-aut-mei=Pradini
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SukaridhotoSritrusta
en-aut-sei=Sukaridhoto
en-aut-mei=Sritrusta
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Informatic and Computer, Politeknik Elektronika Negeri Surabaya
kn-affil=

affil-num=6
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=Internet of Things
kn-keyword=Internet of Things
en-keyword=server platform
kn-keyword=server platform
en-keyword=SEMAR
kn-keyword=SEMAR
en-keyword=IoT application system
kn-keyword=IoT application system
en-keyword=sensor
kn-keyword=sensor
en-keyword=MQTT
kn-keyword=MQTT
en-keyword=REST API
kn-keyword=REST API
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=5
article-no=
start-page=211
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20220420
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Proposal of the Fingerprint Optimization Method for the Fingerprint-Based Indoor Localization System with IEEE 802.15.4 Devices
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Nowadays, human indoor localization services inside buildings or on underground streets are in strong demand for various location-based services. Since conventional GPS cannot be used, indoor localization systems using wireless technologies have been extensively studied. Previously, we studied a fingerprint-based indoor localization system using IEEE802.15.4 devices, called FILS15.4, to allow use of inexpensive, tiny, and long-life transmitters. However, due to the narrow channel band and the low transmission power, the link quality indicator (LOI) used for fingerprints easily fluctuates by human movements and other uncontrollable factors. To improve the localization accuracy, FILS15.4 restricts the detection granularity to one room in the field, and adopts multiple fingerprints for one room, considering fluctuated signals, where their values must be properly adjusted. In this paper, we present a fingerprint optimization method for finding the proper fingerprint parameters in FILS15.4 by extending the existing one. As the training phase using the measurement LQI, it iteratively changes fingerprint values to maximize the newly defined score function for the room detecting accuracy. Moreover, it automatically increases the number of fingerprints for a room if the accuracy is not sufficient. For evaluations, we applied the proposed method to the measured LQI data using the FILS15.4 testbed system in the no. 2 Engineering Building at Okayama University. The validation results show that it improves the average detection accuracy (at higher than 97%) by automatically increasing the number of fingerprints and optimizing the values.
en-copyright=
kn-copyright=

en-aut-name=HuoYuanzhi
en-aut-sei=Huo
en-aut-mei=Yuanzhi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=PuspitaningayuPradini
en-aut-sei=Puspitaningayu
en-aut-mei=Pradini
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HamazakiKazushi
en-aut-sei=Hamazaki
en-aut-mei=Kazushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KojimaKazuyuki
en-aut-sei=Kojima
en-aut-mei=Kazuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=6
en-affil=Mechanical Engineering, Shonan Institute of Technology
kn-affil=
en-keyword=indoor localization
kn-keyword=indoor localization
en-keyword=fingerprint
kn-keyword=fingerprint
en-keyword=IEEE802.15.4
kn-keyword=IEEE802.15.4
en-keyword=LQI
kn-keyword=LQI
en-keyword=parameter optimization
kn-keyword=parameter optimization
END

start-ver=1.4
cd-journal=joma
no-vol=17
cd-vols=
no-issue=2
article-no=
start-page=140
end-page=152
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=202145
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A proposal of recommendation function for element fill-in-Blank problems in java programming learning assistant system
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose<br>
To advance Java programming educations, the authors have developed a Web-based Java programming learning assistant system (JPLAS). It offers the element fill-in-blank problem (EFP) for novice students to study Java grammar and basic programming skills by filling in the missing elements in a source code. An EFP instance can be generated by selecting an appropriate code, and applying the blank element selection algorithm. As it is expected to cover broad grammar topics, a number of EFP instances have been generated. This paper aims to propose a recommendation function to guide a student solving the proper EFP instances among them.<br>
<br>
Design/methodology/approach<br>
This function considers the difficulty level of the EFP instance and the grammar topics that have been correctly answered by the student, and is implemented at the offline answering function of JPLAS using JavaScript so that students can use it even without the Internet connections.<br>
<br>
Findings<br>
To evaluate the effectiveness of the proposal, 85 EFP instances are prepared to cover various grammar topics, and are assigned to a total of 92 students in two universities in Myanmar and Indonesia to solve them using the recommendation function. Their solution results confirmed the effectiveness of the proposal.<br>
<br>
Originality/value<br>
The concept of the difficulty level for an EFP instance is newly defined for the proper recommendation, and the accuracy in terms of the average numbers of answer submission times among the students is verified.
en-copyright=
kn-copyright=

en-aut-name=WintSu Sandy
en-aut-sei=Wint
en-aut-mei=Su Sandy
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=AungShune Lae
en-aut-sei=Aung
en-aut-mei=Shune Lae
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KaoWen-Chun
en-aut-sei=Kao
en-aut-mei=Wen-Chun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Computer Studies, University of Yangon
kn-affil=

affil-num=5
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=JavaScript
kn-keyword=JavaScript
en-keyword=Java programming
kn-keyword=Java programming
en-keyword=JPLAS
kn-keyword=JPLAS
en-keyword=Element fill-in-blank problem
kn-keyword=Element fill-in-blank problem
en-keyword=Offline answering function
kn-keyword=Offline answering function
en-keyword=Recommendation function
kn-keyword=Recommendation function
END

start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=2
article-no=
start-page=137
end-page=149
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2019
dt-pub=20191023
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A proposal of calligraphy learning assistant system with letter portion practice function using projection mapping
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose</br>
For several decades, calligraphy has been popular among people in Japan, China, and even in the world. Traditionally, a teacher teaches how to write letters on a paper with a brush, and a student will imitate them by referring to the model letters. However, if a teacher is not available, this method will not be applicable either. This study aims to propose a calligraphy learning assistant system (CLAS) using projection mapping, which allows a student to learn calligraphy by him/herself.</br>
Design/methodology/approach</br>
By following the letter writing video of a teacher that is directly projected on the paper, a student is able to learn the stroke order and writing speed in addition to the letter shape. Moreover, the letter portion practice function is incorporated in CLAS to allow a learner to repeat practicing hard portions of each letter.</br>
Findings</br>
For evaluations, the authors implemented CLAS using Raspberry Pi and open-source software and asked students to use it. The results confirmed that CLAS is effective in improving calligraphy skills of novice students.</br>
Originality/value</br>
With CLAS, a student can practice calligraphy using a conventional brush, ink and paper at a desk while looking at the model letter writing of a teacher projected on the paper using projection mapping.
en-copyright=
kn-copyright=

en-aut-name=HudaSamsul
en-aut-sei=Huda
en-aut-mei=Samsul
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KaoWen-Chung 
en-aut-sei=Kao
en-aut-mei=Wen-Chung 
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=Raspberry Pi
kn-keyword=Raspberry Pi
en-keyword=Calligraphy
kn-keyword=Calligraphy
en-keyword=Learning assistant system
kn-keyword=Learning assistant system
en-keyword=Projection mapping
kn-keyword=Projection mapping
END

start-ver=1.4
cd-journal=joma
no-vol=16
cd-vols=
no-issue=1
article-no=
start-page=115
end-page=135
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2019
dt-pub=20191003
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A proposal of Android Programming Learning Assistant System with implementation of basic application learning
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose</br>
With rapid increase of Android devices and application systems, there is a strong demand for Android application programmers. A lot of schools are offering Android programming courses to meet this demand. However, Android programming can be different from the conventional one because it needs interactive functions through interfaces with users, which makes the study more difficult. This paper aims to propose an Android Programming Learning Assistance System, namely, APLAS, to assist the Java-based Android programming study and education.</br>
Design/methodology/approach</br>
By adopting the test-driven development method, APLAS is designed to achieve independent learning without the presence of teachers. Using JUnit and Robolectric, the answers from the students are automatically marked in APLAS. To cover extensive materials in Android programming, APLAS offers four stages where each stage involves several topics.</br>
Findings</br>
To evaluate the effectiveness of APLAS, we implemented the Unit Converter assignment that covers the first two topics, namely, Basic user interface in the first stage and basic activity in the second stage. Through solving the assignment, it is expected to learn basic application development. Forty novice students of an IT department in Indonesia were asked to solve both topics separately.</br>
Originality/value</br>
The results show that APLAS is useful and helpful for the self-study of Android programming, as they could complete codes with good execution performances.
en-copyright=
kn-copyright=

en-aut-name=SyaifudinYan Watequlis
en-aut-sei=Syaifudin
en-aut-mei=Yan Watequlis
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=4
en-affil=National Taiwan Normal University
kn-affil=
en-keyword=Android application
kn-keyword=Android application
en-keyword=APLAS
kn-keyword=APLAS
en-keyword=JUnit
kn-keyword=JUnit
en-keyword=Learning system
kn-keyword=Learning system
en-keyword= Learning system
kn-keyword= Learning system
en-keyword=Test-driven development method
kn-keyword=Test-driven development method
en-keyword=Index terms APLAS
kn-keyword=Index terms APLAS
en-keyword=Java
kn-keyword=Java
END

start-ver=1.4
cd-journal=joma
no-vol=15
cd-vols=
no-issue=
article-no=
start-page=2069
end-page=2080
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2019
dt-pub=20191128
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Near-Optimal Detection for Binary Tardos Code by Estimating Collusion Strategy
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=A previously proposed optimal detector for bias-based fingerprinting codes such as Tardos and Nuida requires two kinds of important information: the number of colluders and the collusion strategy used to generate the pirated codeword. An estimator has now been derived for these two parameters. The bias in the pirated codeword is measured by observing the number of zeros and ones and compared with possible bias patterns calculated using information about the collusion strategy and number of colluders. Computer simulation demonstrated that the collusion strategy and number of colluders can be estimated with high probability and that the traceability of a detector using the proposed estimator is extremely close to being optimal.
en-copyright=
kn-copyright=

en-aut-name=Yasui Tatsuya
en-aut-sei=Yasui
en-aut-mei= Tatsuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=EchizenIsao
en-aut-sei=Echizen
en-aut-mei=Isao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Graduate School of Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=National Institute of Informatics
kn-affil=
en-keyword=fingerprinting code
kn-keyword=fingerprinting code
en-keyword=optimal detector
kn-keyword=optimal detector
en-keyword=collusion strategy
kn-keyword=collusion strategy
en-keyword=number of colluders
kn-keyword=number of colluders
en-keyword=estimator
kn-keyword=estimator
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=855
end-page=864
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2018
dt-pub=20180719
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Proposal of Code Completion Problem for Java Programming Learning Assistant System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= To enhance Java programming educations in schools, we have developed a Web-based Java Programming Learning Assistant System (JPLAS) that provides a variety of programming assignments to cover different learning stages. For the first stage, JPLAS offers the element fill-in-blank problem where students study the grammar and code reading through filling the blank elements, composed of reserved words, identifiers, and control symbols, in a high-quality code. Unfortunately, it has been observed that students can fill the blanks without reading the code carefully, because the choice is limited for each blank. In this paper, we propose a code completion problem as a generalization of the element fill-in-blank problem. To solve the drawback, it does not explicitly show blank locations in the code, which expects students to carefully read the code to understand the grammar and code structure. The correctness of the answer is verified through string matching of each statement with the filled elements and the corresponding correct one. Besides, to encourage students to study readable code writing, the correct statement satisfies the coding rules including the spaces. For evaluations, we generated six code completion and element fill-in-blank problems respectively, and asked ten students in two universities to solve them. Their solution results show that the code completion problem is much harder than the element fill-in-blank problem, and requires far deeper code reading and understanding of coding rules.
en-copyright=
kn-copyright=

en-aut-name=Htoo Htoo Sandi Kyaw
en-aut-sei=Htoo Htoo Sandi Kyaw
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=Shwe Thinzar Aung
en-aut-sei=Shwe Thinzar Aung
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=Hnin Aye Thant
en-aut-sei=Hnin Aye Thant
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Department of Information Science and TechnologyUniversity of Technology Yatanarpon Cyber City
kn-affil=

affil-num=2
en-affil=Department of Information Science and TechnologyUniversity of Technology Yatanarpon Cyber City
kn-affil=

affil-num=3
en-affil=Department of Electrical and Communication Engineering Okayama University
kn-affil=

affil-num=4
en-affil=Department of Electrical and Communication Engineering Okayama University
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=9
cd-vols=
no-issue=1
article-no=
start-page=47
end-page=59
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2019
dt-pub=20190528
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Enhancements of minimax access-point setup optimisation approach for IEEE 802.11 WLAN
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= As a flexible and cost-efficient internet access network, the IEEE 802.11 wireless local-area network (WLAN) has been broadly deployed around the world. Previously, to improve the IEEE 802.11n WLAN performance, we proposed the four-step minimax access-point (AP) setup optimisation approach: 1) link throughputs between the AP and hosts in the network field are measured manually; 2) the throughput estimation model is tuned using the measurement results; 3) the bottleneck host suffering the least throughput is estimated using this model; 4) the AP setup is optimised to maximise the throughput of the bottleneck host. Unfortunately, this approach has drawbacks: 1) a lot of manual throughput measurements are necessary to tune the model; 2) the shift of the AP location is not considered; 3) IEEE 802.11ac devices at 5 GHz are not evaluated, although they can offer faster transmissions. In this paper, we present the three enhancements: 1) the number of measurement points is reduced while keeping the model accuracy; 2) the coordinate of the AP setup is newly adopted as the optimisation parameter; 3) the AP device with IEEE 802.11ac at 5 GHz is considered with slight modifications. The effectiveness is confirmed by extensive experiments in three network fields.
en-copyright=
kn-copyright=

en-aut-name=Kyaw Soe Lwin
en-aut-sei=Kyaw Soe Lwin
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=Sumon Kumar Debnath
en-aut-sei=Sumon Kumar Debnath
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=Ismael Munene Kwenga
en-aut-sei=Ismael Munene Kwenga
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=Rahardhita Widyatra Sudibyo
en-aut-sei=Rahardhita Widyatra Sudibyo
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=3
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=4
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=5
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=6
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=7
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=wireless local area network
kn-keyword=wireless local area network
en-keyword=WLAN
kn-keyword=WLAN
en-keyword=access-point setup
kn-keyword=access-point setup
en-keyword=throughput estimation model
kn-keyword=throughput estimation model
en-keyword=parameter optimisation
kn-keyword=parameter optimisation
en-keyword=multiple-input multiple-output
kn-keyword=multiple-input multiple-output
en-keyword=MIMO
kn-keyword=MIMO
END

start-ver=1.4
cd-journal=joma
no-vol=8
cd-vols=
no-issue=1
article-no=
start-page=50
end-page=58
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2018
dt-pub=20180410
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A holding access-point assignment algorithm for IEEE802.11 wireless local-area networks
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= Nowadays, various types of access-points (APs) and hosts such as dedicated APs, laptop personal computers (PCs), and mobile terminals have been used in IEEE802.11 wireless local-area networks (WLANs). As a result, the optimal assignment of holding APs with different types into the network field, depending on the host type distribution, has become another important task to design high-performance WLANs. In this paper, we first define this holding access-point assignment problem as a combinatorial optimisation problem and propose its two-phase heuristic algorithm. Then, since plural partially overlapping channels are available in IEEE802.11 WLANs, we present the channel assignment extension to the APs such that the communication time of the APs is minimised, and the model to estimate the communication time increase by interferences. The effectiveness of our proposal is verified through simulations in six instances using the WIMNET simulator.
en-copyright=
kn-copyright=

en-aut-name=TajimaShigeto
en-aut-sei=Tajima
en-aut-mei=Shigeto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=HigashinoTeruo
en-aut-sei=Higashino
en-aut-mei=Teruo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=
kn-affil=Graduate School of Engineering Science, Osaka University

affil-num=2
en-affil=
kn-affil=Graduate School of Natural Science and Technology, Okayama University

affil-num=3
en-affil=
kn-affil=Graduate School of Information Science and Technology, Osaka University
en-keyword=wireless local-area network
kn-keyword=wireless local-area network
en-keyword=WLAN
kn-keyword=WLAN
en-keyword=holding access-point
kn-keyword=holding access-point
en-keyword=partially overlapping channel
kn-keyword=partially overlapping channel
en-keyword=assignment algorithm
kn-keyword=assignment algorithm
en-keyword=combinatorial optimisation problem
kn-keyword=combinatorial optimisation problem
END

start-ver=1.4
cd-journal=joma
no-vol=3
cd-vols=
no-issue=1
article-no=
start-page=30
end-page=37
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2018
dt-pub=20180130
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Test Code Generation Method for Coding Standard Input/Output with Exception Handling in Java Programming Learning Assistant System
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= To advance Java programming educations, we have developed the Java Programming Learning Assistant System (JPLAS) that provides the code writing problem. This problem asks a student to write a source code to satisfy the specification of a given assignment, where the correctness is verified by running test code on JUnit. For a novice student, a code of implementing the standard input/output with the exception handling should be mastered at the early stage as the first step programming for human interfaces. However, for a teacher, it is not easy to write the test code for it. In this paper, we propose a test code generation method to generate the test code using the reference source code for the assignment. In the evaluation of this proposal, all the students completed the codes using the generated test codes for exception handling, although the use of exception handling functions was sometimes insufficient or incorrect.

en-copyright=
kn-copyright=

en-aut-name=Ei Ei Mon
en-aut-sei=Ei Ei Mon
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KusakaRyota
en-aut-sei=Kusaka
en-aut-mei=Ryota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=Khin Khin Zaw
en-aut-sei=Khin Khin Zaw
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Okayama University, Department of Electrical and Communication Engineering
kn-affil=

affil-num=2
en-affil=Okayama University, Department of Electrical and Communication Engineering
kn-affil=

affil-num=3
en-affil=Okayama University, Department of Electrical and Communication Engineering
kn-affil=

affil-num=4
en-affil=Okayama University, Department of Electrical and Communication Engineering
kn-affil=

affil-num=5
en-affil=National Taiwan Normal University, Department of Electrical Engineering
kn-affil=
en-keyword=Java programming
kn-keyword=Java programming
en-keyword=JPLAS
kn-keyword=JPLAS
en-keyword=Test code
kn-keyword=Test code
en-keyword=Test case
kn-keyword=Test case
en-keyword=Automatic generation
kn-keyword=Automatic generation
en-keyword=JUnit
kn-keyword=JUnit
END

start-ver=1.4
cd-journal=joma
no-vol=7
cd-vols=
no-issue=3
article-no=
start-page=145
end-page=154
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2017
dt-pub=20171229
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A design-aware test code approach for code writing problem in Java programming learning assistant system
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= To advance Java programming educations, we have developed the web-based Java programming learning assistant system (JPLAS) that provides the code writing problem. This problem asks a student to write a source code for a given assignment, where the correctness is verified by running the test code on JUnit. In this paper, we propose a design-aware test code approach for the code writing problem. The design-aware test code tests any important method in the model source code that has the advisable design for the assignment. Thus, by writing a code that can pass it, a student is expected to implement the code with the proper classes/methods in the model code. In evaluations of the proposal, all the students could complete highly qualitative codes for five graph algorithms using the design-aware test codes, where the code quality metrics were measured by metrics plugin for Eclipse.
en-copyright=
kn-copyright=

en-aut-name=Khin Khin Zaw
en-aut-sei=Khin Khin Zaw
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

affil-num=1
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Natural Science and Technology, Okayama University
kn-affil=
en-keyword=Java programming learning assistant system
kn-keyword=Java programming learning assistant system
en-keyword=JPLAS
kn-keyword=JPLAS
en-keyword=design-aware test code
kn-keyword=design-aware test code
en-keyword=JUnit
kn-keyword=JUnit
en-keyword=metric plugin
kn-keyword=metric plugin
en-keyword=breadth-first-search
kn-keyword=breadth-first-search
en-keyword=BFS
kn-keyword=BFS
END

start-ver=1.4
cd-journal=joma
no-vol=2
cd-vols=
no-issue=1
article-no=
start-page=116
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2017
dt-pub=20170727
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A software architecture for Java programming learning assistant system
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= For advancements of Java programming educations, we have developed a Web-based Java Programming Learning System (JPLAS). JPLAS provides four problems with different levels, namely, element fill-inblank problem, value trace problem, statement fill-in-blank problem, and code writing problem, to cover students at different learning stages. Unfortunately, since JPLAS has been implemented by a number of students who studied in our group at different years, the code has become complex and redundant, which makes further extensions of JPLAS extremely hard. In this paper, we propose a software architecture for JPLAS to avoid redundancy. Based on the MVC model, our proposal uses Java for the model (M), HTML/CSS/JavaScript for the view (V), and JSP for the controller (C). Besides, adopting a design pattern, the marking functions of the four problems are implemented uniformly. For evaluations, after JPLAS is implemented with this architecture, the number of code files is compared with that of the previous implementation, and the number of additional files is examined for two new functions.
en-copyright=
kn-copyright=

en-aut-name=IshiharaNobuya
en-aut-sei=Ishihara
en-aut-mei=Nobuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Electrical and Communication Engineering, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Electrical Engineering, National Taiwan Normal University
kn-affil=
en-keyword=JPLAS
kn-keyword=JPLAS
en-keyword=Java programming education
kn-keyword=Java programming education
en-keyword=Web application
kn-keyword=Web application
en-keyword= MVC model
kn-keyword= MVC model
en-keyword=Software architecture
kn-keyword=Software architecture
END

start-ver=1.4
cd-journal=joma
no-vol=7
cd-vols=
no-issue=2
article-no=
start-page=248
end-page=270
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2017
dt-pub=20171004
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Channel Assignment Extension of Active Access-Point Configuration Algorithm for Elastic WLAN System and Its Implementation Using Raspberry Pi
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= Recently, Wireless Local-Area Network (WLAN) has become prevailing as it provides flexible Internet access to users with low cost through installation of several types of access points (APs) in the network. Previously, we proposed the active AP configuration algorithm for the elastic WLAN system using heterogeneous APs, which dynamically optimizes the configuration by activating or deactivating APs based on traffic demands. However, this algorithm assumes that any active AP may use a different channel from the other ones to avoid interferences, although the number of non-interfered channels in IEEE 802.11 protocols is limited. In this paper, we propose the extension of the AP configuration algorithm to consider the channel assignment to the active APs under this limitation. Besides, AP associations of the hosts are modified to improve the network performance by averaging loads among channels. The effectiveness of our proposal is evaluated using the WIMNET simulator in two topologies. Finally, the elastic WLAN system including this proposal is implemented using Raspberry Pi for the AP. The feasibility and performance of the implementation are verified through experiments using the testbed.
en-copyright=
kn-copyright=

en-aut-name=Md. Selim Al Mamun
en-aut-sei=Md. Selim Al Mamun
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=Kyaw Soe Lwin
en-aut-sei=Kyaw Soe Lwin
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=Md. Ezharul Islam
en-aut-sei=Md. Ezharul Islam
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Okayama University
kn-affil=

affil-num=2
en-affil=Okayama University
kn-affil=

affil-num=3
en-affil=Okayama University
kn-affil=

affil-num=4
en-affil=Okayama University
kn-affil=

affil-num=5
en-affil=National Taiwan Normal University
kn-affil=
en-keyword=Elastic WLAN system
kn-keyword=Elastic WLAN system
en-keyword=interference minimization
kn-keyword=interference minimization
en-keyword=channel assignment
kn-keyword=channel assignment
en-keyword=active access-point configuration algorithm
kn-keyword=active access-point configuration algorithm
en-keyword=testbed
kn-keyword=testbed
en-keyword=Raspberry Pi
kn-keyword=Raspberry Pi
END

start-ver=1.4
cd-journal=joma
no-vol=7
cd-vols=
no-issue=2
article-no=
start-page=187
end-page=207
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2017
dt-pub=20171004
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Minimax Approach for Access Point Setup Optimization in IEEE 802.11n Wireless Networks
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract= Recently, an IEEE 802.11n access point (AP) prevailed over the wireless local area network (WLAN) due to the high-speed data transmission using the multiple input multiple output (MIMO) technology. Unfortunately, the signal propagation from the 802.11n AP is not uniform in the circumferential and height directions because of the multiple antennas for MIMO. As a result, the data transmission speed between the AP and a host could be significantly affected by their relative setup conditions. In this paper, we propose a minimax approach for optimizing the 802.11n AP setup condition in terms of the angles and the height in an indoor environment using throughput measurements. First, we detect a bottleneck host that receives the weakest signal from the AP in the field using the throughput estimation model. To explore optimal values of parameters for this model, we adopt the versatile parameter optimization tool. Then, we optimize the AP setup by changing the angles and the height while measuring throughput. For evaluations, we verify the accuracy of the model using measurement results and confirm the throughput improvements for hosts in the field by our approach.
en-copyright=
kn-copyright=

en-aut-name=Kyaw Soe Lwin
en-aut-sei=Kyaw Soe Lwin
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=TaniguchiChihiro
en-aut-sei=Taniguchi
en-aut-mei=Chihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=Khin Khin Zaw
en-aut-sei=Khin Khin Zaw
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=Md. Selim Al Mamun
en-aut-sei=Md. Selim Al Mamun
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KuribayashiMinoru
en-aut-sei=Kuribayashi
en-aut-mei=Minoru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=KaoWen-Chung
en-aut-sei=Kao
en-aut-mei=Wen-Chung
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=Okayama University
kn-affil=

affil-num=2
en-affil=Okayama University
kn-affil=

affil-num=3
en-affil=Okayama University
kn-affil=

affil-num=4
en-affil=Okayama University
kn-affil=

affil-num=5
en-affil=Okayama University
kn-affil=

affil-num=6
en-affil=Okayama University
kn-affil=

affil-num=7
en-affil=National Taiwan Normal University
kn-affil=
en-keyword=Wireless local area network
kn-keyword=Wireless local area network
en-keyword=access point setup
kn-keyword=access point setup
en-keyword=MIMO
kn-keyword=MIMO
en-keyword=throughput estimation model
kn-keyword=throughput estimation model
en-keyword=parameter optimization
kn-keyword=parameter optimization
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=430
end-page=436
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2001
dt-pub=20019
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A global routing technique for wave-steered design methodology
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=<p>Wave-Steering is a new circuit design methodology to realize high throughput circuits by embedding layout friendly structures in silicon. Latches guarantee correct signal arrival times at the input of synthesized modules and maintain the high throughput of operation. This paper presents a global routing technique for networks of wave-steered blocks. Latches can be distributed along interconnects. Their number depends on net topologies and signal ordering at the inputs of wave steered blocks. here, we route nets using Steiner tree heuristics and determine signal ordering and latch positions on interconnect. The problem of total latch number minimization is solved using SAT formulation. Experimental results on benchmark circuits show the efficiency of our technique. We achieve on average a 40% latch reduction at minimum latency over un-optimized circuits operating at 250 MHz in 0.25 &#956;m CMOS technology</p>

en-copyright=
kn-copyright=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SinghAmit
en-aut-sei=Singh
en-aut-mei=Amit
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=MukherjeeArindam
en-aut-sei=Mukherjee
en-aut-mei=Arindam
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SadowskaMalgorzata Marek
en-aut-sei=Sadowska
en-aut-mei=Malgorzata Marek
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama University

affil-num=2
en-affil=
kn-affil=University of California

affil-num=3
en-affil=
kn-affil=University of California

affil-num=4
en-affil=
kn-affil=University of California
en-keyword=binary decision diagrams
kn-keyword=binary decision diagrams
en-keyword=circuit layout CAD
kn-keyword=circuit layout CAD
en-keyword=flip-flops
kn-keyword=flip-flops
en-keyword=integrated circuit layout
kn-keyword=integrated circuit layout
en-keyword=network routing
kn-keyword=network routing
END

start-ver=1.4
cd-journal=joma
no-vol=1
cd-vols=
no-issue=
article-no=
start-page=999
end-page=1004
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2005
dt-pub=20053
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Optical-drop wavelength assignment problem for wavelength reuse in WDM ring metropolitan area networks
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=This paper presents a formulation of the optical-drop wavelength assignment problem (ODWAP) and its heuristic algorithm for WDM ring networks. The wavelength-division multiplexing (WDM) technology has been popular in communication societies for providing very large communication bands by multiple lightpaths with different wavelengths on a single optical fiber. Particularly, a double-ring optical network architecture based on the packet-over-WDM technology such as the HORNET architecture has been studied as a next generation platform for metropolitan area networks (MANs). Each node in this architecture is equipped with a wavelength-fixed optical-drop and a tunable transmitter so that a lightpath can be established between any pair of nodes without wavelength conversions. In this paper, we formulate ODWAP for efficient wavelength reuse under heterogeneous traffic in this network. Then, we propose a simple heuristic algorithm for ODWAP. Through extensive simulations, we demonstrate the effectiveness of our approach in reducing waiting times for packet transmissions when a small number of wavelengths are available to retain the network cost for MANs.
en-copyright=
kn-copyright=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=IsogaiMegumi
en-aut-sei=Isogai
en-aut-mei=Megumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=NakanishiToru
en-aut-sei=Nakanishi
en-aut-mei=Toru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HigashinoTeruo
en-aut-sei=Higashino
en-aut-mei=Teruo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Communication Network Engineering, Okayama University

affil-num=2
en-affil=
kn-affil=Department of Communication Network Engineering, Okayama University

affil-num=3
en-affil=
kn-affil=Department of Communication Network Engineering, Okayama University

affil-num=4
en-affil=
kn-affil=Graduate School of Information Science and Technology, Osaka University
en-keyword=metropolitan area networks
kn-keyword=metropolitan area networks
en-keyword=optical fibre networks
kn-keyword=optical fibre networks
en-keyword=telecommunication network topology
kn-keyword=telecommunication network topology
en-keyword=telecommunication traffic
kn-keyword=telecommunication traffic
en-keyword=wavelength division multiplexing
kn-keyword=wavelength division multiplexing
END

start-ver=1.4
cd-journal=joma
no-vol=1
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2005
dt-pub=200511
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Compact tree plus algorithms for application-level multicast communications in multihome networks
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=<p>Application-level multicast (ALM) communications replicate packets on host level to deliver them from a single source to multiple clients, so that it can efficiently realize a variety of network applications using moving pictures such as video conferences, distance learning, and video-on-demands. In this paper, we propose the CT+ (compact tree plus) algorithm for finding a better ALM routing tree in terms of delay minimization between hosts. CT+ consists of a tree construction stage from the existing CT algorithm, and a newly added iterative tree improvement stage. Then, we define the extended ALM routing problem and its heuristic algorithm ExCT+, to optimize the effectiveness of the multihome network in ALM communications by selecting multihomed hosts and connections in the ALM routing tree simultaneously. For their evaluations, we construct a network simulation model named MINET (multiple-ISP network simulator), where the topology is composed of multiple ISP backbone networks with IX connections, and the network traffic is generated by following the M/M/1 queuing process. The simulation results using MINET verify the effectiveness of our algorithms.</p>

en-copyright=
kn-copyright=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=IsogaiMegumi
en-aut-sei=Isogai
en-aut-mei=Megumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=NakanishiToru
en-aut-sei=Nakanishi
en-aut-mei=Toru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=HigashinoTeruo
en-aut-sei=Higashino
en-aut-mei=Teruo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama University

affil-num=2
en-affil=
kn-affil=Okayama University

affil-num=3
en-affil=
kn-affil=Okayama University

affil-num=4
en-affil=
kn-affil=Osaka University, Osaka
en-keyword=multicast communication
kn-keyword=multicast communication
en-keyword=queueing theory
kn-keyword=queueing theory
en-keyword=telecommunication network routing
kn-keyword=telecommunication network routing
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=229
end-page=232
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2003
dt-pub=20033
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A proposal of a minimal-state processing search algorithm for isochronous channel reuse problems in DQDB networks
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The IEEE 802.6 MAC standard protocol defines the distributed-queue dual bus (DQDB) for metropolitan area networks (MANs). The isochronous channel reuse problem (ICRP) has been studied for the efficient use of DQDB. Given a set of established connections and a set of connection requests, the goal of ICRP is to maximize the number of satisfied requests by finding a proper channel assignment, such that no established connection is not only reassigned a channel, but also any pair of active connections does not interfere each other. We propose a minimal-state processing search algorithm for ICRP (MIPS/sub -/ICRP). The simulation results show that MIPS/sub -/ICRP always provides near-optimum solutions.
en-copyright=
kn-copyright=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuganoAyako
en-aut-sei=Sugano
en-aut-mei=Ayako
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=HigashinoTeruo
en-aut-sei=Higashino
en-aut-mei=Teruo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Communication Network Engineering, Okayama University

affil-num=2
en-affil=
kn-affil=Department of Communication Network Engineering, Okayama University

affil-num=3
en-affil=
kn-affil=Graduate School of Information Science and Technology, Osaka University
en-keyword=IEEE standards
kn-keyword=IEEE standards
en-keyword=access protocols
kn-keyword=access protocols
en-keyword=channel allocation
kn-keyword=channel allocation
en-keyword=metropolitan area networks
kn-keyword=metropolitan area networks
en-keyword=performance evaluation
kn-keyword=performance evaluation
en-keyword=telecommunication standards
kn-keyword=telecommunication standards
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=304
end-page=307
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2006
dt-pub=20063
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A LECCS model parameter optimization algorithm for EMC designs of IC/LSI systems
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=<p>&lt;p&gt;In this paper, we propose a parameter optimization algorithm for EMC macro-modeling of IC/LSI power currents called the LECCS (linear equivalent circuit and current source) model. The unnecessary electro-magnetic wave from a digital electronics device may cause the electromagnetic interference (EMI) to other apparatus. Thus, its reduction has been regarded as one of the highest priority issues in digital electronics device designs. In order to accurately simulate high-frequency currents from power-supply sources that are the primary sources of EMI, the LECCS model has been proposed as a linear macromodel of a power-supply circuit. A LECCS model consists of multiple RLC-series circuits in parallel to represent the equivalent circuit between the voltage source and the ground. Given a set of measured impedances at various frequencies, our proposed algorithm first finds the number of RLC-series circuits corresponding to the number of valleys. Then, it searches optimal values of RLC parameters by a local search method. The effectiveness of our algorithm is verified through applications to a real system, where the accuracy and the required processing time by our algorithm are compared with the conventional method.&lt;/p&gt;</p>

en-copyright=
kn-copyright=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=NomuraYohei
en-aut-sei=Nomura
en-aut-mei=Yohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KawashimaJun
en-aut-sei=Kawashima
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=MinamisawaYuichiro
en-aut-sei=Minamisawa
en-aut-mei=Yuichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=WadaOsami
en-aut-sei=Wada
en-aut-mei=Osami
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama University

affil-num=2
en-affil=
kn-affil=Okayama University

affil-num=3
en-affil=
kn-affil=Okayama University

affil-num=4
en-affil=
kn-affil=Okayama University

affil-num=5
en-affil=
kn-affil=kyoto University
en-keyword=RLC circuits
kn-keyword=RLC circuits
en-keyword=electromagnetic compatibility
kn-keyword=electromagnetic compatibility
en-keyword=electromagnetic interference
kn-keyword=electromagnetic interference
en-keyword=equivalent circuits
kn-keyword=equivalent circuits
en-keyword=integrated circuit design
kn-keyword=integrated circuit design
en-keyword=large scale integration
kn-keyword=large scale integration
en-keyword=linear network analysis
kn-keyword=linear network analysis
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=304
end-page=307
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2006
dt-pub=20063
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A LECCS model parameter optimization algorithm for EMC designs of IC/LSI systems
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=<p>In this paper, we propose a parameter optimization algorithm for EMC macro-modeling of IC/LSI power currents called the LECCS (linear equivalent circuit and current source) model. The unnecessary electro-magnetic wave from a digital electronics device may cause the electromagnetic interference (EMI) to other apparatus. Thus, its reduction has been regarded as one of the highest priority issues in digital electronics device designs. In order to accurately simulate high-frequency currents from power-supply sources that are the primary sources of EMI, the LECCS model has been proposed as a linear macromodel of a power-supply circuit. A LECCS model consists of multiple RLC-series circuits in parallel to represent the equivalent circuit between the voltage source and the ground. Given a set of measured impedances at various frequencies, our proposed algorithm first finds the number of RLC-series circuits corresponding to the number of valleys. Then, it searches optimal values of RLC parameters by a local search method. The effectiveness of our algorithm is verified through applications to a real system, where the accuracy and the required processing time by our algorithm are compared with the conventional method.</p>

en-copyright=
kn-copyright=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=NomuraYohei
en-aut-sei=Nomura
en-aut-mei=Yohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KawashimaJun
en-aut-sei=Kawashima
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=MinamisawaYuichiro
en-aut-sei=Minamisawa
en-aut-mei=Yuichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=WadaOsami
en-aut-sei=Wada
en-aut-mei=Osami
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama University

affil-num=2
en-affil=
kn-affil=Okayama University

affil-num=3
en-affil=
kn-affil=Okayama University

affil-num=4
en-affil=
kn-affil=Okayama University

affil-num=5
en-affil=
kn-affil=Kyoto University
en-keyword=RLC circuits
kn-keyword=RLC circuits
en-keyword=electromagnetic compatibility
kn-keyword=electromagnetic compatibility
en-keyword=electromagnetic interference
kn-keyword=electromagnetic interference
en-keyword=equivalent circuits
kn-keyword=equivalent circuits
en-keyword=integrated circuit design
kn-keyword=integrated circuit design
en-keyword=large scale integration
kn-keyword=large scale integration
en-keyword=linear network analysis
kn-keyword=linear network analysis
END

start-ver=1.4
cd-journal=joma
no-vol=4
cd-vols=
no-issue=
article-no=
start-page=2769
end-page=2774
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2001
dt-pub=200110
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A minimal-state processing search algorithm for satisfiability problems
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=<p>The satisfiability problem (SAT) is a typical NP-complete problem where a wide range of applications has been studied. Given a set of variables U and a set of clauses C, the goal of SAT is to find a truth assignment to variables in U such that every clause in C is satisfied if it exits, or to derive the infeasibility otherwise. This paper presents an approximation algorithm, called a minimal-state processing search algorithm for SAT (MIPS-SAT). MIPS-SAT repeatedly transits minimal states in terms of the cost function for searching a solution through a construction stage and a refinement stage. The first stage greedily generates an initial state composed of as many satisfied clauses as possible. The second stage iteratively seeks a solution while keeping state minimality. The performance of MIPS-SAT is verified through solving DIMACS benchmark instances</p>

en-copyright=
kn-copyright=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YokohiraTokumi
en-aut-sei=Yokohira
en-aut-mei=Tokumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=NakanishiToru
en-aut-sei=Nakanishi
en-aut-mei=Toru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=TajimaShigeto
en-aut-sei=Tajima
en-aut-mei=Shigeto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=HigashinoTeruo
en-aut-sei=Higashino
en-aut-mei=Teruo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama University

affil-num=2
en-affil=
kn-affil=Okayama University

affil-num=3
en-affil=
kn-affil=Okayama University

affil-num=4
en-affil=
kn-affil=Osaka University

affil-num=5
en-affil=
kn-affil=Osaka University, Osaka
en-keyword=SAT
kn-keyword=SAT
en-keyword=heuristic algorithm
kn-keyword=heuristic algorithm
en-keyword=optimization
kn-keyword=optimization
en-keyword=DIMACS
kn-keyword=DIMACS
en-keyword=   MIPS_SAT.
kn-keyword=   MIPS_SAT.
END

start-ver=1.4
cd-journal=joma
no-vol=40
cd-vols=
no-issue=1
article-no=
start-page=78
end-page=82
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2006
dt-pub=200601
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=An Eye-Contour Extraction Algorithm from Face Image usingDeformable Template Matching
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=A variety of studies on face components such as eyes, lips, noses, and teeth have been proceeding in medicine, psychology, biometrics authentication, and other areas. In this paper, we present an algorithm of extracting eye contours from a face image using the deformable template matching method. Our template for an eye contour is composed of three quadratic functions for the perimeter and one circle for the pupil. In our algorithm, a digital color face image is rst converted to a binary image of representing eyes, after the region around eyes is identied on the face image by using hues and values of the color
image. Then, parameters in the template are optimized by a local search method with a tabu period and a hill-climbing, so as to t the template to the eye contour in the binary
image. The accuracy of our algorithm is evaluated through sample face images of students.
In addition, the application of our proposal to eye shape indices is investigated in a face image database "HOIP", where recognizable dierence exists in index distributions between males and females.
en-copyright=
kn-copyright=

en-aut-name=FunabikiNobuo
en-aut-sei=Funabiki
en-aut-mei=Nobuo
kn-aut-name=船曳信生
kn-aut-sei=船曳
kn-aut-mei=信生
aut-affil-num=1
ORCID=

en-aut-name=IsogaiMegumi
en-aut-sei=Isogai
en-aut-mei=Megumi
kn-aut-name=磯貝愛
kn-aut-sei=磯貝
kn-aut-mei=愛
aut-affil-num=2
ORCID=

en-aut-name=HigashinoTeruo
en-aut-sei=Higashino
en-aut-mei=Teruo
kn-aut-name=東野輝夫
kn-aut-sei=東野
kn-aut-mei=輝夫
aut-affil-num=3
ORCID=

en-aut-name=
en-aut-sei=
en-aut-mei=
kn-aut-name=OdaMasashi
kn-aut-sei=Oda
kn-aut-mei=Masashi
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=Grad. School of Natural Science & Tech. Okayama University

affil-num=2
en-affil=
kn-affil=Grad. School of Natural Science & Tech. Okayama University

affil-num=3
en-affil=
kn-affil=Grad. School of Inform. Science & Tech. Osaka University

affil-num=4
en-affil=
kn-affil=Grad. School of Inform. Science & Tech. Osaka University
END