{"title":"Robust interval regression analysis based on Minkowski difference","authors":"Masahiro Inuiepchi, Haruki, Fujita, Tanino","doi":"10.1109/SICE.2002.1195774","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195774","url":null,"abstract":"In this paper, we propose robust interval regression methods based on Minkowski difference. In the previous interval regression methods, the estimated interval function is strongly influenced by some outliers. We introduce M-estimators developed in robust regression to interval regression methods and propose interval regression techniques whose resulting estimated interval functions are not strongly influenced by some outliers.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114453936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Time series image analysis of Dalian, China by remote sensing","authors":"S. Ogata, K. Kirimoto, M. Ide","doi":"10.1109/SICE.2002.1195719","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195719","url":null,"abstract":"We have long observed the changes of the Dalian areas using remotely sensed image time series from the point of view of human activities. We employ Landsat TM and ETM+ data to evaluate quantitatively the rate of progress due to its modernization in connection with weather and geographical conditions since such a research is still in an early stage of its development. The analysis by unsupervised classification techniques indicates a steady increase of land area and a steady decrease of vegetation in the Dalian areas irrespective of the difference of the methods. These facts show that the present approach gives us a measure of human activities.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114851356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optical flow extraction based on reuse of intermediate results and VLSI implementation","authors":"M. Hariyama, M. Kameyama","doi":"10.1109/SICE.2002.1196602","DOIUrl":"https://doi.org/10.1109/SICE.2002.1196602","url":null,"abstract":"High-speed optical flow extraction plays an important role in real-world systems such as highly safe vehicles. This paper presents a VLSI-oriented algorithm to reduce a computational amount based on reuse of intermediate results. Moreover, a functional unit allocation for a simple interconnection network between processing elements is also proposed based on analysis of data dependency. The performance of the VLSI processor designed in a 0.35/spl mu/m CMOS technology is more than 10 000 times higher than that of a microprocessor (Pentium III 550MHz).","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117107587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of dinosaur-like robot TITRUS - motion control of the head and tail of miniature robot TITRUS-III","authors":"K. Takita, T. Katayama, S. Hirose","doi":"10.1109/SICE.2002.1195580","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195580","url":null,"abstract":"In this paper, the fundamental concepts of the dinosaur-like robot called TITRUS are proposed and the mechanism design of the miniature prototype robot TITRUS-III is explained. TITRUS is based on the concept to realize a practical mobile working platform. Finally, the fundamental walking experiments to examine usability of the neck and tail on TITRUS-III are reported.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117283664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal investment in power plant under price uncertainty","authors":"Y. Yamamoto, T. Tezuka","doi":"10.1109/SICE.2002.1195376","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195376","url":null,"abstract":"The real option approach draws much attention toward an optimal investment problem under uncertainty. This paper shows that the optimal investment rule obtained by the method is strongly dependent on the process employed as the model of price fluctuations. The mean reverting process would be more reasonable than the geometric Brownian motion when considering the characteristics of the price fluctuation.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116008788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On evaluation of model error bound from experimental data","authors":"A. Yoneya, H. Kobayashi, Y. Togari","doi":"10.1109/SICE.2002.1195464","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195464","url":null,"abstract":"This work deals with a method to test whether the model error of a system is in a predetermined bound given with a weight function using frequency response data of the plant obtained by an experiment. The model error bound problem is converted to a stability problem of a set of systems and the stability test is performed.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123538687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Kodama, Tomohide Kesamaru, M. Adachi, K. Kamimura, S. Kurosu
{"title":"Force-measurement using gyroscopic force measuring system","authors":"K. Kodama, Tomohide Kesamaru, M. Adachi, K. Kamimura, S. Kurosu","doi":"10.1109/SICE.2002.1195447","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195447","url":null,"abstract":"This paper deals with the development of an entirely new force sensor, called the gyroscopic force measuring system (GFMS), for measuring a force vectorially. In this paper, the GFMS is constructed by a gyro-rotor using a miniature rate-gyro for aircraft instrument. The fundamental experiment suggests the possibility to measure a small force range less than 0-3N.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121942028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A study of neural network based on quaternion","authors":"T. Kusakabe, T. Isokawa, N. Kouda, N. Matsui","doi":"10.1109/SICE.2002.1195247","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195247","url":null,"abstract":"A quaternion neural network with nonlinear function is presented in this paper. The quaternion neuron adopts geometrical transformations as operators of data to be processed. Back Propagation for the layered network: with quaternion neurons is also formulated. The simulation results show that the presented model has the ability in learning affine transformation of 3D figures. while conventional neural network can hardly acquire.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122012513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robust tracking for camera control on an irregular terrain vehicle","authors":"J. Ding, H. Kondou, H. Kimura, Y. Hada, K. Takase","doi":"10.1109/SICE.2002.1195352","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195352","url":null,"abstract":"Tracking a target robustly by vision is very difficult for a mobile robot running on irregular terrain in a natural environment, because the image deformation caused by rolling and pitching of the camera, as well as relative movement between the target and the camera, affect the tracking ability. One approach to cope with such problems is matching the target image with many affine transformed candidate images while tracking. But when the number of candidate images gets larger, such approach becomes unfeasible because of computational cost. In this paper, we propose Robustness Analysis for Tracking (RAT) to improve the tracking ability. RAT is an analysis based on features of the object image, where three parameters - 'Detectability', 'Robustness for Depth (RBD)' and 'Robustness for Rotation (RBR)' - are defined. Much more robust templates can be found by analyzing the object image using RAT before the tracking task is performed. Experimental results verify the effectiveness of this method.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122091566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Iterative learning control - an identification oriented approach","authors":"T. Sugie, K. Hamamoto","doi":"10.1109/SICE.2002.1195823","DOIUrl":"https://doi.org/10.1109/SICE.2002.1195823","url":null,"abstract":"Introduces a new type of iterative learning control (ILC) which seeks the desired input in an appropriate finite dimensional input subspace. The method achieves perfect tracking for a class of uncertain systems without using time derivative of tracking error signals in the learning law. Its effectiveness is demonstrated by experiment using a two-link direct drive arm. One of the distinguish features of this method is that it is regarded as an identification oriented method rather than a pure I/O signal based (or model free) one.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116906452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}