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Author Kusunose, Masahiro|
Published Date 1988
Publication Title 岡山医学会雑誌
Volume volume100
Issue issue7-8
Content Type Journal Article
Author Yamasaki, Tadashi|
Published Date 1987-08-30
Publication Title 岡山医学会雑誌
Volume volume99
Issue issue7-8
Content Type Journal Article
Author Sunami, Takaaki|
Published Date 1987-08-30
Publication Title 岡山医学会雑誌
Volume volume99
Issue issue7-8
Content Type Journal Article
Author Fukushima, Masato|
Published Date 1987-08-30
Publication Title 岡山医学会雑誌
Volume volume99
Issue issue7-8
Content Type Journal Article
Author Ogawa, Kazutoshi|
Published Date 1987-08-30
Publication Title 岡山医学会雑誌
Volume volume99
Issue issue7-8
Content Type Journal Article
Author Okada, Shoshiro|
Published Date 1988
Publication Title 岡山医学会雑誌
Volume volume100
Issue issue5-6
Content Type Journal Article
Author Nose, Sohichiro|
Published Date 1988
Publication Title 岡山医学会雑誌
Volume volume100
Issue issue5-6
Content Type Journal Article
Author Shirasu, Akiyoshi|
Published Date 1987-02-28
Publication Title 岡山医学会雑誌
Volume volume99
Issue issue1-2
Content Type Journal Article
Author Yamamoto, Masashi|
Published Date 1987-02-28
Publication Title 岡山医学会雑誌
Volume volume99
Issue issue1-2
Content Type Journal Article
Author Momma, Fumiyuki|
Published Date 1988
Publication Title 岡山医学会雑誌
Volume volume100
Issue issue1-2
Content Type Journal Article
JaLCDOI 10.18926/15443
FullText URL Mem_Fac_Eng_OU_26_2_111.pdf
Author Nara, Shigetoshi| Banzhaf Wolfgag|
Abstract An information processing task which generates combinatorial explosion and program complexity when it is treated by a serial algorithm is investigated using both Genetic Algorithms (GA) and a neural network model (NN). The task in question is to find a target memory from a set of stored entries in the form of "attractors" in a high dimensional state space. The representation of entries in the memory is distributed ("an auto associative neural network" in this paper), and the problem is to find an attractor under a given access information where the uniqueness or even existence of a solution is not always guaranteed ( an ill-posed problem ). The GA is used as an algorithm for generating a search orbit to search effectively for a state which satisfies the access condition and belongs to the target attractor basin in state space. The NN is used to retrieve the corresponding entry from the network. The results of our computer simulation indicate that the present method is superior to a search method which uses random walk in state space. Our technique may prove useful in the realization of flexible and adaptive information processing, since pattern search in high dimensional state spaces is common in various kinds of parallel information processing.
Publication Title Memoirs of the Faculty of Engineering, Okayama University
Published Date 1992-03-28
Volume volume26
Issue issue2
Start Page 111
End Page 128
ISSN 0475-0071
language English
File Version publisher
NAID 120002307718
JaLCDOI 10.18926/15403
FullText URL Mem_Fac_Eng_OU_27_2_19.pdf
Author Nara, Shigetoshi| Totsuji, Hiroo|
Abstract Numerical simulations of a single layer recurrent neural network model in which the synaptic connection matrix is formed by summing cyclic products of succesive patterns show that complex dynamics can occur with the reduction of a connectivity parameter which is the number of connection between neurons. The structure in these dynamics is discussed from the viewpoint of realizing complex function using complex dynamics.
Publication Title Memoirs of the Faculty of Engineering, Okayama University
Published Date 1993-03-25
Volume volume27
Issue issue2
Start Page 19
End Page 40
ISSN 0475-0071
language English
File Version publisher
NAID 120002307451
JaLCDOI 10.18926/15391
FullText URL Mem_Fac_Eng_OU_27_1_33.pdf
Author Shimada, Yukiyasu| Suzuki, Kazuhiko| Sayama, Hayatoshi|
Abstract Neural nets have recently become the focus of much attention, largely because of their wide range of complex and nonlinear problems. This paper presents a new integrated approach using neural networks for diagnosing process failures. The fault propagation in process is modeled by causal relationships from the fault tree and its minimal cut sets. The measurement patterns required for training and testing the neural network were obtained from fault propagation model. The network is able to diagnose even in the presence of malfunction of certain sensors. We demonstrate via a nitric acid cooler process how the neural network can learn and successfully diagnose the faults.
Publication Title Memoirs of the Faculty of Engineering, Okayama University
Published Date 1992-11-25
Volume volume27
Issue issue1
Start Page 33
End Page 44
ISSN 0475-0071
language English
File Version publisher
NAID 120002307902
JaLCDOI 10.18926/15254
Title Alternative ヒスチジンタグを持つホスファカンコア蛋白の大腸菌での発現と精製
FullText URL 009_2_105_111.pdf
Author Ito, Sekiko| Okamoto, Motoi| Mori, Shuji|
Abstract Specific regions of core protein of phosphacan, one of the chondroitin sulfate proteoglycans, were expressed as fusion proteins with histidine-tag (His-tag) in Escherichia coli (E.coli) and were affinity purified using nickel-nitrilotriacetic acid (Ni-NTA) matrix. cDNA fragments encoding amino acid residues 343-446 (P3) and 1-340 (P4) of phosphacan core protein were amplified by polymerase chain reaction from E18 rat brain mRNA as template. The amplified products were subcloned into pQE30 vector and were introduced into E.coli strain M15 [pREP4] for the expression. The His-tagged fusion proteins were expressed by cultivating the transformants at 37℃ for 5h in the presence of 1mM IPTG. His-tagged P3 fusion protein (His-P3) was expressed as soluble form, and was purified using Ni-NTA matrix. His-tagged P4 fusion protein (His-P4) which was sequestered into insoluble inclusion bodies was treated with 8.0M urea to solubilize, and then was purified under denaturing conditions.
Keywords phosphacan (ホスファカン) core protein (コア蛋白) His-tagged proteins recombinant protein (融合蛋白)
Publication Title 岡山大学医療技術短期大学部紀要
Published Date 1999-02-26
Volume volume9
Issue issue2
Start Page 105
End Page 111
ISSN 0917-4494
language English
File Version publisher
NAID 120002307302
Author 岡山医学会|
Published Date 2009-08-03
Publication Title 岡山医学会雑誌
Volume volume121
Issue issue2
Content Type Others
JaLCDOI 10.18926/15088
Title Alternative サーモグラフィーによる体表面温度の測定
FullText URL 067_063_070.pdf
Author Hosaki, Yasuhiro| Nawa, Yuichiro| Takeuchi, Kazuaki| Tsugeno, Hirofumi| Ashida, Kozo| Yokota, Satoshi| Mitsunobu, Fumihiro| Mifune, Takashi| Tanizaki, Yoshiro| Ochi, Koji| Harada, Hideo| Ikeda, Satoru| Taketa, Kazuhisa|
Abstract Body Surface Temperature was observed by thermography. The surface temperature of a healthy person's lower limbs, after being cooled in a water bath, increased in parallel with time. Patients with Diabetes Mellitus had different patterns in the rate of increase of the surface temperature. After cold loading, one patient had a 99% recovery ratio of surface temperature, the same level as healthy volunteers (83%, and 88%), as calculated by a picture processing program with the computerized thermotracer. However, the recovery ratio of other patients was poorer, ranging from 56% to under 6% recovery. This measurement of elevation of body temperature is useful for the estimation of peripheral blood flow in patients with lower limbcirculation failure.
Keywords Thermography (サーモグラフィー) Diabetes Mellitus (糖尿病) Peripheral Circulation (末梢循環) Cold Loading (冷水負荷)
Publication Title 岡大三朝分院研究報告
Published Date 1996-11
Volume volume67
Start Page 63
End Page 70
ISSN 0918-7839
language English
File Version publisher
NAID 120002307566
Author Yuan, Wen Ji|
Published Date 2008-12-31
Publication Title
Content Type Thesis or Dissertation
Author 岡山医学会|
Published Date 2009-04-01
Publication Title 岡山医学会雑誌
Volume volume121
Issue issue1
Content Type Others
Author Yamaguchi Daisuke| Katayama Fumiyo| Takahashi Muneo| Arai Masataka| Kenneth James Mackin|
Published Date 2008-12-11
Publication Title Proceedings : Fourth International Workshop on Computational Intelligence & Applications
Volume volume2008
Issue issue1
Content Type Conference Paper
Author Hara Akira| Ichimura Takumi|
Published Date 2008-12-11
Publication Title Proceedings : Fourth International Workshop on Computational Intelligence & Applications
Volume volume2008
Issue issue1
Content Type Conference Paper