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김범수(Bim-Soo Kim),백혜정(Hae-Jung Beak),박영택(Young-Tack Park) 한국정보과학회 2001 한국정보과학회 학술발표논문집 Vol.28 No.2Ⅱ
사용자와 컴퓨터간의 자연스러운 상호작용을 위하여 Emotional 캐릭터 에이전트에 대한 연구가 지속되고 있다. 어플리케이션에 Emotional 캐릭터 에이전트의 사용자인터페이스 적용은 사용자와 컴퓨터간의 자연스럽고 Personalized된 상호작용을 가능하게 한다. Personalized Emotional 캐릭터 에이전트에 대한 연구는 다음과 같다. 1) 사용자행위 정보를 이용한 캐릭터의 감정 생성연구. 2) 블랙보드시스템을 이용한 감정추론 연구 3) 생성된 감정을 캐릭터의 행동표현으로 변화시키기 감정과 캐릭터 행동간의 연계 연구 4) Personalized Emotional 캐릭터 에이전트를 어플리케이션에 적용하는 연구
김설빔(Seol Bim Kim),안병운(Byoung Woon Ahn),이성환(Seoung Hwan Lee) 대한기계학회 2009 大韓機械學會論文集A Vol.33 No.5
In configuring an automated polishing system, a monitoring scheme to estimate the surface roughness is necessary. In this study, a precision polishing process, magnetic abrasive finishing (MAF), along with an inprocess monitoring setup was investigated. A magnetic tooling is connected to a CNC machining to polish the surface of stavax(S136) die steel workpieces. During finishing experiments, both AE signals and force signals were sampled and analysed. The finishing results show that MAF has nano scale finishing capability (upto 8㎚ in surface roughenss) and the sensor signals have strong correlations with the parameters such as gap between the tool and workpiece , feed rate and abrasive size. In addition, the signals were utilized as the input parameters of artificial neural networks to predict generated surface roughness. Among the three netwoks constructed -AE rms input, force input, AE+force input- the ANN with sensor fusion (AE+force) produced most stable results. From above, it has been shown that the proposed sensor fusion scheme is appropriate for the monitoring and prediction of the nano scale precision finishing process
Application of Digital Image Processing for Shape Characterization of Sand Particles
Laxman Poudel,Bhola Thapa,Bim Prasad Shrestha,Nabin Kumar Shrestha 한국멀티미디어학회 2010 한국멀티미디어학회 국제학술대회 Vol.2010 No.-
This part of research work is focused on defining sand particles shape using Digital Image Processing (DIP). Sand particles shape can be defined using geometrical structures which involves mathematics and its derivatives. Shape descriptor is utilized to define exactly the sand particles shape. It describes the region or boundary of sand particles. So study of sand shape using digital image processing with Fourier analysis gives an exact particles shape. This research utilizes nondestructive automation technique online or off-line based on using image processing. It is revealed that total 21 different shape of sand particles were identified each having different measures. Sand shapes were analyzed and processed using Charge Coupled Devices (CCD) camera, image processing Matrox Imaging Library (MIL) Software and in MatLab 1.5 platform. This new way of vision which cannot be revealed by eye can characterize particles shape easily. Research in shape similarity has a lot of challenges, some solutions and, and for same in use in different application.