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Volume 120, Issue 12
Displaying 51-54 of 54 articles from this issue
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Terada Kenji, Hideaki Tadokoro, Yamaguchi Jun'ichi2000 Volume 120 Issue 12 Pages 2105-2106
Published: December 01, 2000
Released on J-STAGE: December 19, 2008
JOURNAL FREE ACCESSCounting people at gates, or at entrances of entertainment halls is considered important for office security or marketing. We propose a new method using two line images at two slanted measurement lines. By using two slanted measurement lines, the number of passers and the direction of movement of each passer are detected simultaneously. In this paper, we describe the algorithm of counting passers using the two spacetime images and show some experimental results obtained by using a simple experimental system to verify effectiveness of the proposed method.View full abstractDownload PDF (900K) -
Teruo Shimomura, B. B. Chhetri, Seiichi Serikawa2000 Volume 120 Issue 12 Pages 2107-2108
Published: December 01, 2000
Released on J-STAGE: December 19, 2008
JOURNAL FREE ACCESSIn this paper, we propose a new function discovery system model (S-Poly model) for the artificial life type discovery system (S-System), by incorporating non-linear optimization technique in it. This model uses Polytope method for optimizing the values of the constants of the function under discovery process while evaluating the fitness of it with the observation data. The new model significantly reduces the number of generation required for the discovery. Also. we propose two other models combining Polytope with Genetic Programming (GP-Poly model) and mutation (Mut-Poly model). All these models are found effective in the function discovery, while S-Poly model is found to be the fastest among the three.View full abstractDownload PDF (193K) -
Ning Feng Zeng, Sadakazu Watanabe, Keiji Taniguchi, Yutaka Nakano, Hir ...2000 Volume 120 Issue 12 Pages 2109-2110
Published: December 01, 2000
Released on J-STAGE: December 19, 2008
JOURNAL FREE ACCESSA new model for recognition of abnormal substances in urinary sediment images (USI) is presented. Here the scheme has a particular focus on abnormal substances, whose shapes and sizes are not normal and the data of images are imperfection and uncertain. These substances are very difficult to be recognized. Our proposed method combines fuzzy computation with the statistical method for recognition. A database is created for storing the different types of substances which include normal and abnormal substances used as standard patterns. Then the similarity degrees of textures between the standard patterns and tested substances are calculated. Furthermore, “If-then” knowledge base is created on the basis of the experiences of human-expert. Finally, the knowledge base for each substance is applied to evaluate each abnormal substance by using fuzzy reasoning of the combination of texture similarities and other features, the precision of classification is improved. This method also provides a flexible way to improve the ability of recognition of substances.View full abstractDownload PDF (179K) -
Yoko Kawamura, Yasunari Yokota, Yuzuru Kameya, Kan Takeda, Kaname Mats ...2000 Volume 120 Issue 12 Pages 2111-2112
Published: December 01, 2000
Released on J-STAGE: December 19, 2008
JOURNAL FREE ACCESSWe investigated sex differences in the corpus callosum measured by MRI on the midsagittal plane using Fourier descriptors and central moments. In the result, we showed that females tend to have stooping corpus callosum relative to males at significance level 10-17%. The finding suggests that there may exist sex differences in the callosal configurations in cranium rather than in the shape and/or size of the corpus callosum.View full abstractDownload PDF (215K)