start-ver=1.4
cd-journal=joma
no-vol=37
cd-vols=
no-issue=1
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2002
dt-pub=200211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=contents / back cover
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=

en-aut-name=Faculty of Engineering, Okayama University
en-aut-sei=Faculty of Engineering, Okayama University
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

affil-num=1
en-affil=
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=37
cd-vols=
no-issue=1
article-no=
start-page=51
end-page=60
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2002
dt-pub=200211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Pulse Timing Control of Multiple Signal Interconnections for Reduction of EMI
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=This paper presents pulse timing control method to reduce electromagnetic emission from multiple signal interconnections. Pulse timing control gives intentional skew between signals. Higher order harmonics are canceled because of the difference of the phase between the signals. Using this property, pulse timing control can reduce the EMI in wide frequency range. In this paper, we show that radiated electromagnetic field from multiple signal lines reduces its intensity to the same level of the field from one line by using pulse timing control. The result of measurement
shows that EMI from four differential transmission lines can be reduced more than 9 dB in the 200 MHz to 800 MHz frequency range.
en-copyright=
kn-copyright=

en-aut-name=NambaAkihiro
en-aut-sei=Namba
en-aut-mei=Akihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=ToyotaYoshitaka
en-aut-sei=Toyota
en-aut-mei=Yoshitaka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
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=3
ORCID=

en-aut-name=KogaRyuji
en-aut-sei=Koga
en-aut-mei=Ryuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

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

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

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

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

start-ver=1.4
cd-journal=joma
no-vol=37
cd-vols=
no-issue=1
article-no=
start-page=41
end-page=49
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2002
dt-pub=200211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Automatic Camera Model Selection for Multibody Motion Segmentation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We study the problem of segmenting independently moving objects in a video sequence. Several algorithms exist for classifying the trajectories of the feature points into independent motions, but the performance depends on the validity of the underlying camera imaging model. In this paper, we present a scheme for automatically selecting the best model using the geometric AIC before the segmentation stage, Using real video sequences,
we confirm that the segmentation accuracy indeed improves if the segmentation is based on the selected model. We also show that the trajectory data can be compressed into low-dimensional vectors using the selected model. This is very effective in reducing the computation time for a long video sequence.
en-copyright=
kn-copyright=

en-aut-name=SugayaYasuyuki
en-aut-sei=Sugaya
en-aut-mei=Yasuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=KanataniKenichi
en-aut-sei=Kanatani
en-aut-mei=Kenichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Information Technology, Okayama University

affil-num=2
en-affil=
kn-affil=Department of Information Technology, Okayama University
END

start-ver=1.4
cd-journal=joma
no-vol=37
cd-vols=
no-issue=1
article-no=
start-page=25
end-page=32
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2002
dt-pub=200211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Robust Image Matching under a Large Disparity
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We present a new method for detecting point matches between two images without using any combinatorial search. Our strategy is to impose various local and non-local constraints as "soft" constraints by introducing their "confidence" measures via "mean-field approximations". The computation is a cascade of evaluating the confidence values and sorting according to them. In the end, we impose the "hard" epipolar constraint by RANSAC. We also introduce a model selection procedure to test if the image mapping can be regarded as a homography. We demonstrate the effectiveness of our method by real image examples.
en-copyright=
kn-copyright=

en-aut-name=KanazawaYasushi
en-aut-sei=Kanazawa
en-aut-mei=Yasushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=KanataniKenichi
en-aut-sei=Kanatani
en-aut-mei=Kenichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Knowledge-based Information Engineering Toyohashi University of Technology

affil-num=2
en-affil=
kn-affil=Department of Information Technology Okayama University
END

start-ver=1.4
cd-journal=joma
no-vol=37
cd-vols=
no-issue=1
article-no=
start-page=15
end-page=23
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2002
dt-pub=200211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=For Geometric Inference from Images, What Kind of Statistical Model Is Necessary?
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=In order to facilitate smooth communications with researchers in other fields including statistics, this paper investigates the meaning of "statistical methods" for geometric inference based on image feature points, We point out that statistical analysis does not make sense unless the underlying "statistical ensemble" is clearly defined. We trace back the origin of feature uncertainty to image processing operations for computer vision in general and discuss the implications of asymptotic analysis for performance evaluation in reference to "geometric fitting", "geometric model selection", the "geometric AIC", and the "geometric MDL". Referring to such statistical concepts as "nuisance parameters", the "Neyman-Scott problem", and "semiparametric models", we point out that simulation experiments for performance evaluation will lose meaning without carefully considering the assumptions involved and intended applications.
en-copyright=
kn-copyright=

en-aut-name=KanataniKenichi
en-aut-sei=Kanatani
en-aut-mei=Kenichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Information Technology, Okayama University
END

start-ver=1.4
cd-journal=joma
no-vol=37
cd-vols=
no-issue=1
article-no=
start-page=11
end-page=14
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2002
dt-pub=200211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Estimation of the screening length and the electric charge on particles in single-layered dusty plasma crystals
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=A theoretical approach which has been successful in reproducing results of molecular-dynamics
simulations on dusty plasmas is applied to estimate the screening length and the electric charge of two-dimensional dust crystals of melamine particles in the discharge chamber experiment. It has been found that the screening length is of the same order of magnitude as the inter-particle distance and the electric charge decreases on increasing number density of dust particles.
en-copyright=
kn-copyright=

en-aut-name=TotsujiChieko
en-aut-sei=Totsuji
en-aut-mei=Chieko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=LimantMuhammad S.
en-aut-sei=Limant
en-aut-mei=Muhammad S.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=TsurutaKenji
en-aut-sei=Tsuruta
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=TotsujiHiroo
en-aut-sei=Totsuji
en-aut-mei=Hiroo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

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

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

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

affil-num=4
en-affil=
kn-affil=Department of Electrical and Electronic Engineering Faculty of Engineering, Okayama University
END

start-ver=1.4
cd-journal=joma
no-vol=37
cd-vols=
no-issue=1
article-no=
start-page=1
end-page=10
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2002
dt-pub=200211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Agent Based Routing Control for Multi Mobile Robots in Transportation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Auto Guided Vehicles (AGVs) are widely used in a semi-conductor fabricating factory and contribute to the stable production of a high quality semi-conductor products. In the near future, further expansion of the transportation system is expected accompanied with the rapid growth of semi-conductor industries. In such situation, the necessity of performing quick planning of transportation route and transportation control will be elevated. In this paper, practicable planning of the transportation route and transportation control are studied based on the decentralized agent method. Especially, the geometrical sizes of AGVs are considered in the determination of transportation routes and control strategy avoiding the occurrence of mutual collisions or deadlock of AGVs.
en-copyright=
kn-copyright=

en-aut-name=SotobayashiKen
en-aut-sei=Sotobayashi
en-aut-mei=Ken
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=KonishiMasami
en-aut-sei=Konishi
en-aut-mei=Masami
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=NishiTatsushi
en-aut-sei=Nishi
en-aut-mei=Tatsushi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=ImaiJun
en-aut-sei=Imai
en-aut-mei=Jun
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=Dept. of Electrical and Electronic Engineering Okayama University

affil-num=2
en-affil=
kn-affil=Dept. of Electrical and Electronic Engineering Okayama University

affil-num=3
en-affil=
kn-affil=Dept. of Electrical and Electronic Engineering Okayama University

affil-num=4
en-affil=
kn-affil=Dept. of Electrical and Electronic Engineering Okayama University
END

start-ver=1.4
cd-journal=joma
no-vol=37
cd-vols=
no-issue=1
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2002
dt-pub=200211
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=cover / title page
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=

en-aut-name=Faculty of Engineering, Okayama University
en-aut-sei=Faculty of Engineering, Okayama University
en-aut-mei=
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

affil-num=1
en-affil=
kn-affil=
END