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박근철(Geun-Chul Park),권혁인(Hyuk-in Kwon),김영찬(Young-Chan Kim) 한국정보과학회 1999 한국정보과학회 학술발표논문집 Vol.26 No.1A
인터넷 환경과 하드웨어를 빠른 발전에 의해서 전송시간이나 실행시간보다도 편리한 인터페이스 및 현실감이 중요하게 되었다. 이를 만족시키기 위해서 웹에서 가상현실을 구현하기에 가장 적합한 언어는 VRML이다. 그러나 VRML은 비 전문가가 사용하기 힘들고 변화에 따라 재 구성이 힘들다는 단점을 가지고 있다. 본 논문에서는 이러한 단점을 보완하기 위해서 자바를 활용한 쇼핑몰 지원 시스템을 개발한다. 본 연구의 쇼핑몰 지원 시스템은 모든 데이터를 데이터베이스에 보관하고, 쇼핑몰은 실행 될 때마다 애플릿에 의해 재구성 하는 형태로 관리자는 데이터베이스 값을 변경하는 것만으로 간단하게 쇼핑몰을 재구성 할 수 있다는 장점을 가진다.
박근철 ( Geun Chul Park ),이승희 ( Seung Hee Lee ),박창수 ( Chang Soo Park ),김동원 ( Dong Won Kim ),김원택 ( Won Taek Kim ),전계록 ( Gye Rok Jeon ) 한국센서학회 2014 센서학회지 Vol.23 No.1
In this paper, we report a novel algorithm based on phase displacement, which supplements conventional TOF methods for distance measurement using an ultrasonic wave. The proposed algorithm roughly measures the distance between the transmission part and the receiving part by using the initial TOF. Thereafter, the precise distance is determined by measuring the phase displacement value between the synchronizing transmission signal and the signal obtained at the receiving end. A distance measurement experiment using a micrometer was performed to verify the accuracy of the ultrasonic wave sensor system. We found that the mean errors from the one adopting the distance measurement algorithm based on phase displacement varied from a minimum of 0.03 mm to a maximum of 0.09 mm. In addition, the standard deviation varied from a minimum of 0.04 mm to a maximum of 0.07 mm, thus giving a precision of 0.1 mm.
주기별 맥동파형의 절흔점 위치변화 특성을 이용한 혈압 추정
백승완 ( Seong Wan Baik ),박성민 ( Sung Min Park ),손정만 ( Jung Man Shon ),박근철 ( Geun Chul Park ),이상훈 ( Sang Hoon Lee ),장우영 ( Woo Young Jang ),전아영 ( Ah Young Jeon ),전계록 ( Gyerok Jeon ) 한국센서학회 2013 센서학회지 Vol.22 No.2
In the study, novel blood pressure estimation method was proposed to improve the accuracy of oscillometric method. The proposed algorithm estimated the blood pressure by comparing and analyzing the point variation aspect of dicrotic notch on pulsating waveform during each cardiac cycle. The waveforms of each cardiac cycle were extracted by maximum points. The extracted pulsating waveforms were applied by re-sampling, end-matching, and normalization. The systolic and diastolic blood pressures were estimated by point variation aspect of dicrotic notch. The blood pressures, which were estimated from proposed algorithm, were compared and analyzed by blood pressures from oscillometric methods and auscultation. The systolic blood pressure from oscillometric methods were +0.88 mmHg more than proposed algorithm, and 1.875 less than the diastolic blood pressures from proposed algorithm. The systolic and diastolic blood pressures from auscultation were 2.89 mmHg and 3.44 mmHg less than the blood pressures from proposed algorithm. As the errors between blood pressures from proposed algorithm, oscillometric method and auscultation were less than 5 mmHg, the proposed algorithm was effective.
전아영(Jeon, Ah-Young),유주연(Yoo, Ju-Yeon),박근철(Park, Geun-Chul),전계록(Jeon, Gye-Rok) 한국산학기술학회 2010 한국산학기술학회논문지 Vol.11 No.5
본 연구에서는 3축 가속도 신호를 이용하여 낙상과 낙상 방향을 검출하는 시스템을 구현하였다. 가속도 신 호는 3축 가속도 센서로부터 획득하였으며, 획득된 신호를 USB 인터페이스를 통하여 PC에 전달하였다. PC에 전송 된 신호를 제안한 알고리즘을 사용하여 낙상을 검출하였으며, 퍼지 분류기를 사용하여 낙상의 방향을 분류하였다. 실 험을 위하여 실험대상군 6명 선정하였으며, 가슴에 가속도계를 부착한 후 실험을 수행하였다. 실험대상자는 5초 동 안 정상 보행을 한 후 4 가지 방향(전․후․좌․우)으로 낙상이 발생하도록 하였으며, 낙상에 소요되는 시간은 최소 2초 로 설정하였다. 본 연구에서 제안된 알고리즘을 이용하여 낙상을 검출하였으며 낙상 발생 후 1초부터 데이터를 분석 하고 퍼지 분류기를 이용하여 낙상방향을 분류하였다. 낙상 검출율은 평균 94.79%이었다. 낙상 방향에 따른 분류율 은 front_fall은 95.83%, back_fall은 100%, left_fall 은 87.5%, right_fall은 95.83%이었다. In this study, the falls detection and direction classification system was implemented using 3-axial acceleration signal. The acceleration signals were acquired from the 3-axial accelerometer(MMA7260Q, Freescale, USA), and then transmitted to the computer through USB interface. The implemented system can detect falls using the newly proposed algorithm, and also classify the direction of falls using fuzzy classifier. The 6 subjects was selected for experiment and the accelerometer was attached on each subject's chest. Each subject walked in normal pace for 5 seconds, and then the fall down according to the four direction(front_fall, back_fall, left_fall and right_fall) during at least 2 second. The falls was easily detect using the newly proposed algorithm in this study. The acquired signals were analyzed after 1 second from generating falls. The fuzzy classifier was used to classify the direction of falls. The mean value of the falls detection rate was 94.79 %. The classifier rate according to falls direction were 95.83% in case of front falls, 100% incase of back falls, 87.5% in case of left falls, and 95.83% in case of right falls.
김철한 ( Cheol Han Kim ),김윤진 ( Yun Jin Kim ),전계록 ( Gye Rok Jeon ),노정훈 ( Jung Hoon Ro ),유주연 ( Ju Yeon Yoo ),박근철 ( Geun Chul Park ),전아영 ( Ah Young Jeon ) 한국센서학회 2011 센서학회지 Vol.20 No.2
In this study, a compact wireless vibration measurement system was developed using a 3-axial accelerometer in order to evaluate the vibration stimulation system. A low power microprocessor chip integrated with 2.4 GHz RF transceiver was used for the wireless data communication. To evaluate the system, the frequencies and accelerations from the vibration stimulation system were measured using an LVDT sensor and a vibration measurement system. The average frequency difference by the measurement system was less than 0.1 Hz, and the standard deviation of frequencies estimated by the LVDT sensor and the accelerometer was below 0.08 Hz. The developed system was applied to access a vibration stimulation system for the future study. The average acceleration difference of the central and peripheral point of the stimulation system was less than 0.0005 g(1 g=9.8 m/s2), and the standard deviation of the acceleration was below 0.004 g, which shows the usefulness of the wireless vibration measurement system.