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- 저자 : 윤영로(YoungRo Yoon) (검색결과 7 건)
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양용주(Yongju Yang),윤영로(Youngro Yoon) 대한전자공학회 2006 대한전자공학회 학술대회 Vol.2006 No.11
Ubiquitous Location Based Services (u-LBS) will soon be able to issue very important services. They can define that recognizing object position at anytime, anywhere. At present, many researchers are making a brisk study of the position recognition and tracking. This paper is position recognition monitoring and user identification system. Position recognition monitoring is based on Local Based Services (LBS). User identification system automatically controls instruments which is located in home and freely measures body signal. We experiment at Home Health Management trial laboratory in YONSEI University. We implemented multi-hop routing methods using the Star-Mesh networks. Also, we use the sensor devices which are satisfied with the IEEE 802.15.4 standard requirements. Used devices are Nano-24 modules in Octacomm Co. Received Signal Strength Indicator (RSSI) is very important factor in position recognition analysis. it makes use of the way that decides position recognition and user identification in narrow indoor space. In experiments, we can analyze properties of the RSSI and draw the parameter about position recognition. Experimental results are that RSSI value is attenuated according to increasing distances and it can derive properties of the Radio Frequency (RF) signals. Moreover, we express monitoring program using Microsoft C#. Finally, the proposed methods are expected to protect sudden death and accident in home.
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마비환자의 근전도제에기능적전기자극을 위한 M-wave 제거용 최적적응필터 설계
염호준,박영철,이영희,윤영로,신태민,윤형로,Yeom Hojoon,Park Youngcheol,Lee Younghee,Yoon Youngro,Shin Taemin,Yoon Hyoungro 대한의용생체공학회 2004 의공학회지 Vol.25 No.6
Biopotential signals have been used as command in systems using electrical stimulation of motor nerves to restore movement after an injury to the central nervous system (CNS). In order to use the voluntary EMG (electromyography) among the biopotentials as a control signal for the electrical stimulation of the same muscle for CNS injury patients, it is necessary to remove M-wave of having high magnitude from raw data. We designed an optimal filter for removing the M-wave and preserving the voluntary EMG and showed that the optimal filter is eigen filter. We also proved that the previous method using the prediction error filter(PEF) is a suboptimal filtering in the sense of preserving the voluntary EMG. On basis of the data obtained from a model for M-wave and voluntary EMG and from actual CNS injury patients, with false-positive rate analysis, the proposed adaptive filter showed a very promising performance in comparison with previous method.
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RFID를 기반으로 한 실험실 정보 시스템의 설계 및 구현
송상하(Sangha Song),장승진(Seungjin Jang),김효민(Hyomin Kim),윤영로(Youngro Yoon) 대한전기학회 2007 대한전기학회 학술대회 논문집 Vol.2007 No.10
This paper is intended to trace and management of a medical specimen and its report in a hospital. To avoid missing and decaying specimen and to establish of order in the circulation of specimen, at the moment sampling, RFID tags for each are on examiner. And then, specimen is monitored easily, quickly and, correctly. We developed implementation LIS system has better CQI (Continuos Quality Improvement) using RFID and XML, ADO.net, ASP.net, C# 2.0. RFID technology replaces to an existing the bar-code system. Also for more convenience, we used a PDA-RFID module. The LIS system consists of main server, SQL 2005, event display and analysis web page developed using asp.net 2.0 and sharing specimen data information using XML technology.
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