Impedance techniques have been widely applied to the biomedical engineering field. In order to obtain definite results from bioimpedance, multi-channel measurement is effective. A linearity of biological tissue and fundamental technical parameters for the instrument must be confirmed. In this study, the fundamental conditions have been investigated for multi-channel bioimpedance measurement and the condition of measurement for biological tissue has been confirmed. The differences of every measurement frequency should be appropriate to 1 kHz and it has been shown that the linearity of biological tissue is maintained. Based on these results, a two-channel bioimpedance measurement instrument has been constructed
en-copyright= kn-copyright= en-aut-name=YamamotoYoshitake en-aut-sei=Yamamoto en-aut-mei=Yoshitake kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=NakamuraTakao en-aut-sei=Nakamura en-aut-mei=Takao kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=KusuharaToshimasa en-aut-sei=Kusuhara en-aut-mei=Toshimasa kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=AdliMr. en-aut-sei=Adli en-aut-mei=Mr. 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=Okayama University en-keyword=bioelectric phenomena kn-keyword=bioelectric phenomena en-keyword=biomedical measurement kn-keyword=biomedical measurement en-keyword=electric impedance measurement kn-keyword=electric impedance measurement 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=1996 dt-pub=19960604 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=A new position sensor for high-speed measurement of multiple points en-subtitle= kn-subtitle= en-abstract= kn-abstract=A high-speed measuring system of multiple points is becoming an important issue in many industrial applications. Therefore, the development of a high-speed position sensor is an important issue. However, conventional sensors such as CCD(charge-coupled device) and PSD(position-sensitive detector) are insufficient to apply to the high-speed measurement of multiple points. We propose a new position sensor for high-speed measurement of multiple points. The proposed sensor features a single scanning detecting method of multiple points by parallel processing technique and design of the sensor by analog circuitry, which makes high-speed measurement of multiple points possible. The designed sensor system realizes both high-speed performance and high accuracy
en-copyright= kn-copyright= en-aut-name=BabaMitsuru en-aut-sei=Baba en-aut-mei=Mitsuru kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KonishiTadataka en-aut-sei=Konishi en-aut-mei=Tadataka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=HoriYuko en-aut-sei=Hori en-aut-mei=Yuko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=OtaniKouji en-aut-sei=Otani en-aut-mei=Kouji 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 Univeristy affil-num=4 en-affil= kn-affil=Okayama University en-keyword=analogue integrated circuits kn-keyword=analogue integrated circuits en-keyword=computerised instrumentation kn-keyword=computerised instrumentation en-keyword=electric sensing devices kn-keyword=electric sensing devices en-keyword=parallel kn-keyword=parallel en-keyword=processing kn-keyword=processing en-keyword=peak detectors kn-keyword=peak detectors en-keyword=position measurement kn-keyword=position measurement en-keyword=signal processing kn-keyword=signal processing en-keyword=signal processing kn-keyword=signal processing en-keyword=equipment kn-keyword=equipment END start-ver=1.4 cd-journal=joma no-vol=1 cd-vols= no-issue= article-no= start-page=318 end-page=322 dt-received= dt-revised= dt-accepted= dt-pub-year=2001 dt-pub=20015 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Detection of a particular object from motion images under bad condition en-subtitle= kn-subtitle= en-abstract= kn-abstract=This paper deals with the detection of the rescue target as a particular object from motion images under bad conditions. When shipwrecks occur, the search activities of rescue are done using an airplane. The detection of the rescue target such as a life raft depends on visual search of human eyes. To detect a small rescue target in the wide sea, the searcher man must monitor motion sights in nasty weather. In order to carry out the prompt rescue of human life, development of searching support system using image processing techniques in place of the human eye is required It is very difficult to process the motion images taken by the airplane, because these images are inferior due to shaking of the airplane, sunshine reflections and crest waves under bad conditions. We make a simulation experiment for detection of the rescue target from images. To get basic design data for development of the searching system in the case of a marine casualty, we propose motion image processing techniques using improved S/N ratio and dynamic range of the image data of the rescue target in the motion images under bad conditions
en-copyright= kn-copyright= en-aut-name=SumimotoTetsuhiro en-aut-sei=Sumimoto en-aut-mei=Tetsuhiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KuramotoKazuoki en-aut-sei=Kuramoto en-aut-mei=Kazuoki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=OkadaSaburo en-aut-sei=Okada en-aut-mei=Saburo kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=MiyauchiHidekazu en-aut-sei=Miyauchi en-aut-mei=Hidekazu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=ImadeMasaaki en-aut-sei=Imade en-aut-mei=Masaaki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=YamamotoHideki en-aut-sei=Yamamoto en-aut-mei=Hideki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=ArvelynaYessy en-aut-sei=Arvelyna en-aut-mei=Yessy kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Maritime Safety Academy affil-num=3 en-affil= kn-affil=Chugoku National Industrial Research Institute affil-num=4 en-affil= kn-affil=Chugoku National Industrial Research Institute affil-num=5 en-affil= kn-affil=Chugoku National Industrial Research Institute affil-num=6 en-affil= kn-affil=Okayama University affil-num=7 en-affil= kn-affil=Tokyo University of Mercantile Marine en-keyword=Motion images kn-keyword=Motion images en-keyword=Rescue Target kn-keyword=Rescue Target en-keyword=Background image kn-keyword=Background image en-keyword=S/N ratio of image signals kn-keyword=S/N ratio of image signals END start-ver=1.4 cd-journal=joma no-vol=1 cd-vols= no-issue= article-no= start-page=327 end-page=331 dt-received= dt-revised= dt-accepted= dt-pub-year=1999 dt-pub=19995 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Automatic Micromanipulation System using Stereoscopic Microscope en-subtitle= kn-subtitle= en-abstract= kn-abstract=In this paper, we developed a visual feedback system that controls a micromanipulator so that a needle head may reach a target. The system consists of a stereoscopic microscope, a micromanipulator, two CCD cameras and a personal computer. The position of the target and the needle head under stereoscopic microscope are measured three dimensionally by using two CCD cameras which are set to eyepieces of the microscope. It is necessary that the image processing employed be fast so that the micromanipulation can be carried out at a realistic rate. The image processing time for detecting the target and the needle head is greatly reduced by using image compression
en-copyright= kn-copyright= en-aut-name=SanoTetsuya en-aut-sei=Sano en-aut-mei=Tetsuya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=NagahataHidekazu en-aut-sei=Nagahata en-aut-mei=Hidekazu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YamamotoHideki en-aut-sei=Yamamoto en-aut-mei=Hideki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 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 en-keyword=CCD image sensors kn-keyword=CCD image sensors en-keyword=image coding kn-keyword=image coding en-keyword=image segmentation kn-keyword=image segmentation en-keyword=micromanipulators kn-keyword=micromanipulators en-keyword=micropositioning kn-keyword=micropositioning en-keyword=optical feedback kn-keyword=optical feedback en-keyword=optical microscopes kn-keyword=optical microscopes en-keyword=robot vision kn-keyword=robot vision en-keyword=stereo image processing kn-keyword=stereo image processing END start-ver=1.4 cd-journal=joma no-vol=1 cd-vols= no-issue= article-no= start-page=491 end-page=496 dt-received= dt-revised= dt-accepted= dt-pub-year=2002 dt-pub=20025 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Computer aided texture alignment of Japanese kimono en-subtitle= kn-subtitle= en-abstract= kn-abstract=A yukata is a type of traditional Japanese clothing. An alignment of its texture pattern is an important factor of the yukata design. In the traditional design of the yukata, the calculation of the size, texture alignment and the development of the cutting pattern are manually performed. There are traditional rules for the texture alignment. Especially, the texture alignment depends on the experience and intuition of the skilled person. We have developed a CAD system for Japanese kimono. In this paper, we describe methods for automatic texture alignment. At first, image processing algorithms to detect the texture pattern in the kimono cloth are developed. Secondarily, methods of the texture alignment based on the traditional rules are developed. Finally, image processing algorithms for the texture alignment based on the traditional rules are proposed. By using this CAD system, designers can easily tailor the yukata regardless of their skill.
en-copyright= kn-copyright= en-aut-name=SanoTetsuya en-aut-sei=Sano en-aut-mei=Tetsuya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YamamotoHideki en-aut-sei=Yamamoto en-aut-mei=Hideki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University en-keyword=Japanese kimono kn-keyword=Japanese kimono en-keyword=Yutaka kn-keyword=Yutaka en-keyword=Apparel CAD kn-keyword=Apparel CAD en-keyword=Image processing kn-keyword=Image processing END start-ver=1.4 cd-journal=joma no-vol=1 cd-vols= no-issue= article-no= start-page=326 end-page=331 dt-received= dt-revised= dt-accepted= dt-pub-year=2001 dt-pub=20015 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Computer aided design system for Japanese kimono en-subtitle= kn-subtitle= en-abstract= kn-abstract=A yukata is a type of traditional Japanese clothing. An alignment of its texture pattern is an important factor of yukata design. The calculation of the size, texture alignment and the creation of the cutting pattern are manually performed. Especially, the texture alignment depends on the experience and intuition of the skilled person. In this paper, we describe a CAD system for the yukata. First, we developed a measurement system for the wearer's body shape. Second, we developed an algorithm for performing garment simulation of Japanese yukata. The designer can understand the condition of the texture alignment exactly because the yukata is displayed three dimensionally on the wearer's body shape. As a result, designers can easily tailor the yukata
en-copyright= kn-copyright= en-aut-name=SanoTetsuya en-aut-sei=Sano en-aut-mei=Tetsuya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YamamotoHideki en-aut-sei=Yamamoto en-aut-mei=Hideki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University en-keyword=Japanese kimono kn-keyword=Japanese kimono en-keyword=Apparel CAD kn-keyword=Apparel CAD en-keyword=Image processing kn-keyword=Image processing END start-ver=1.4 cd-journal=joma no-vol=1 cd-vols= no-issue= article-no= start-page=100 end-page=104 dt-received= dt-revised= dt-accepted= dt-pub-year=2003 dt-pub=20035 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Human Body Shape Imaging System and Its Application to Japanese Kimono Design en-subtitle= kn-subtitle= en-abstract= kn-abstract=A yukata is a type of traditional Japanese clothing. An alignment of its texture pattern is an important factor of the yukata design. Three-dimensional display of the designed yukata becomes necessary for designers to make sure whether the alignment of the texture pattern satisfies wearer's taste or not. In this paper, we describe about a three-dimensional display algorithm of the yukata. At first, we developed an algorithm to measure a shape information of the wearer's body. Secondarily, we developed an algorithm to map the texture pattern of the yukata on the wearer's body. Experimental results show that three-dimensional display of the yukata is useful for the designer to evaluate the result of the texture alignment.
en-copyright= kn-copyright= en-aut-name=SanoTetsuya en-aut-sei=Sano en-aut-mei=Tetsuya kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YamamotoHideki en-aut-sei=Yamamoto en-aut-mei=Hideki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University en-keyword=body shape imaging systems kn-keyword=body shape imaging systems en-keyword=imaging systems kn-keyword=imaging systems END