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차량 주행성능 분석을 위한 자료 획득 장치 개발에 관한 연구
선우명호(Myoungho Sunwoo),이재인(Jaein Lee),이우택(Wootaik Lee),이상준(Sangjun Lee),주원철(Wonchul Ju),최시홍(Sihong Choi),이상태(Sangtae Lee),이현수(Hyunsoo Lee),이경민(Kyungmin Lee) 한국자동차공학회 1998 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1998 No.5_1
To evaluate the powertrain performances and driving behavior of a vehicle, it is necessary to survey the driving patterns, which have influences on fuel economy and emissions.<br/> The driving patterns are depended on the driver's habit and the road and traffic conditions. An in-vehicle data acquisition system, which is called Mode Survey System(MOSS), is designed and developed to analyze the driving patterns of the actual driver. Furthermore MOSS would be able to make a common driving mode to be used in emission, fuel efficiency, shift survey, catalyst durability, and other tests using the analyzed driving patterns.<br/> MOSS is a stand-alone system based on the 68HC11 MCU. It mainly consists of an MCU-based Hardware and a PC-based software. MOSS logs various data relating to powertrain and vehicle driving such as vehicle speed, engine RPM, gear position, brake, clutch, fuel consumption, and others. For analysis of the driving data, MOSS software, which is easy to use, can be used to analyze the driving patterns. Both the real-time processing and the post processing function for driving data analysis are available.<br/>
스마트 폰 어플리케이션 적용을 위한 UPC-A Bar code 인식 알고리즘 개발
이상준(Sang Joon Lee),이상용(Sang Yong Lee),이영범(Young Bum Lee),이명호(Myoungho Lee) 대한전기학회 2011 전기학회논문지 Vol.60 No.1
This paper is about a bar code decoding algorithm developed for smart phone applications. The algorithm consists of bar code data extraction procedure, bar code signal estimation procedure, and bar code decoding procedure. To detect the peak bar code module, a DSTW had been applied because of its outstanding performance in ECG peak detection. In order to minimize errors due to non-uniform light effect, the proposed algorithm was acted as a baseline wandering filter based on module peaks detection. The algorithm had been tested to evaluate the performance under the conditions of blurring, non-uniformed light and white noises. The algorithm had shown excellent performance in reconstruction of bar code decoding, compared to other conventional methods. In order to show the possibility of applying the algorithm to a smart phone, a real UPC-A type 150 bar code pictures obtained from a smart phone camera was applied to the algorithm, achieving the correct recognition rate of 97.33%.
EEG 기반의 BCI 알고리즘에 대한 Neurofeedback에 따른 Motor Imagery 교차 성능평가 연구
이영범(Young-Bum Lee),이충근(Chungeun Lee),강대훈(Daehoon Kang),김진권(Jin-Kwon Kim),류연수(Younsu Ryu),이상준(Sang-Joon Lee),정완진(Wanjin Jeong),이명호(Myoungho Lee) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
Brain Computer Interface(BCI) 기술은 뇌에서 발생한 신호를 직접 해석하여 신체 다른 기관의 표현 없이 대상의 의도를 파악하는 기술을 말한다. 실제 BCI응용의 경우 시각, 청각, 촉각 등 다양한 방법으로 단서(cue)를 제시하고 이를 기반으로 동작 할 수 있는데, 현재 많은 연구들은 BCI알고리즘의 훈련데이터와 평가데이터 사이에서 같은 종류의 단서만을 사용하여 연구를 진행하였다. 본 연구에서는 비침습형 BCI의 대표적인 방식인 EEG 기반 BCI 응용을 시각단서와 청각단서를 이용하여 평가해보았다. 본 연구의 목적은 Neurofeedback이 있는 경우와 없는 경우에 대해서 시각단서와 청각단서에 의한 Motor Imagery를 교차 성능 평가하는 것에 있다. 평가의 대상이 되는 BCI 알고리즘은 Common Spatial Pattern(CSP)과 Least Square Linear Classifier, Linear Discriminant Analysis(LDA), Support Vector Machine(SVM)을 기반으로 왼쪽 또는 오른쪽 팔을 움직이는 운동심상을 분류하며, 임상평가를 통해 실험을 진행하였다.
SMS Application Using EMG Signal of Clenching Teeth for e-Health Communication
Lee, Youngbum,Lee, Myoungho Mary Ann Liebert 2008 Telemedicine and e-health Vol.14 No.6
<P>A proposed system using a Short Message Service (SMS) application based on electromyography (EMG)-controlled human-computer interface method by clenching teeth was evaluated. This system consists of an EMG signal processing device and SMS Software module on the PC. We can use SMS by a simple combination of two clenching patterns. The purpose of this study is to evaluate easy and comfortable communication methods for the disabled and rehabilitation patients as an e-health tool.</P>