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한국형 낭충봉아부패병 바이러스(kSBV)의 정의를 위한 새로운 SBV 유전자형의 제안
이칠우(Chil-Woo Lee),유미선(Mi-Sun Yoo),임수진(Su-Jin Lim),김정민(Jung-Min Kim),조윤상(Yun Sang Cho),윤병수(Byoung-Su Yoon) 한국양봉학회 2017 韓國養蜂學會誌 Vol.32 No.2
korean Sacbrood Virus (kSBV) was firstly found since 2008 in Korea, and it might be a main reason why 99% of populations belonged to Apis cerana in Korea were disappeared now. In this study, full length, reported DNA sequences of 32 Sacbrood Viruses (SBVs) were analysed based on alignments using nucleotides and/or deduced amino acid sequeces. In this analysis, variable deletions were found that are located around 2,100 bases in each CDS of SBVs. The genotyping depended on these deletions might be related with infection-patterns by these pathogens. In addition, it is not escaped our notice that the genotyping we have proposed immediately suggests a possible origin of kSBV for the quarantine and protection against further invasion.
서경민,이칠우 전남대학교 전자통신기술연구소 2001 전자통신기술논문지 Vol.4 No.1
In this paper, we describe the system that detects a person in images, The scope of the developed system uses a stationary camera and outputs the outline of the person operating under an indoor environment. Generally, the development of a person detecting system is a very hard work, because a person is deformable with occlusion. The traditional person detecting system is not efficient when person model is changed after model having been created. Unlike many systems for detecting people. Our system makes no use of static person model. We suggest the learning model method, which learns a person model in running time, by components. Our system is capable of simultaneously detecting multiple people and it has only an invariant basic model.
색상 정보를 이용한 관절체의 3차원 모션 파라메타 추정
신수미,이칠우 전남대학교 전자통신기술연구소 2002 전자통신기술논문지 Vol.5 No.1
In this paper describes a method of inducing three dimensional motion parameters sampling human figure's features from the images, which are obtained from two stereo cameras. In this method, the images are acquired from attaching minimum numbers of color markers to joints, and features of the joints are gained from using Color Segmentation Algorithm. Three dimensional points can be obtained using Stereo Geometry after calculating of the correspondence of two images' points, and then three dimensional parameters can be induced through analyzing these values with time axis. One of the distinctive features of this pater is that recognition results are not influenced by the input images' noise, for using previously arranged color markers. In addition, remarkably practical system production will be possible due to utilizing Stereo Geometry.
오재용,이칠우 전남대학교 전자통신기술연구소 2001 전자통신기술논문지 Vol.4 No.1
Recently, user friendly Human-Computer Interaction becomes more important accordance with rapid development of various information systems. In this paper we describe a three dimensional gesture recognition algorithm and a system which adopts the algorithm for non-contact human-computer interaction. From sequence of stereo images, five feature regions are axtracted with simple color segmentation algorithm and then those are used for three dimensional locus calculation process. However, the result is not so stable, noisy, that we introduce principal component analysis method to get more robust gesture recognition results. This method can overcome the weakness of conventional algorithms since it directly uses three dimensional information for human gesture recognition.