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金東完,金明鎭 동아대학교 건설기술연구소 1996 硏究報告 Vol.20 No.1
Acoustic barriers are now in common use as a method of a abating noise. The increase in traffic noise nowadays, and the need for efficient protection against it, have given rise to full scale site measurement of insertion loss of acoustic barriers, both absorbent barrier and reflective barrier. The noise level measurement was carried out on the barriers in apartment site near road, and an array of microphone up to 50m behind barrier and before road was used to measure insertion loss for each barrier. The aim of this paper is to show the insertion loss of each barrier type and to suggest reference capable of pratical applications as design of acoustic barrier.
SVM을 기반으로 한 심음 기반의 심장 질환 판별에 관한 연구
金寶利,白承和,金東完 明知大學校 産業技術硏究所 2007 産業技術硏究所論文集 Vol.26 No.-
In this paper, Support Vector Machine Algorithms were used with promising results in various critical problems, concerning heart sound classification. In general this classification problem can be divided in many sub problems, each one dealing either with one morphological characteristic of the heart sound or with difficult to distinguish heart diseases. We proposed a ventricular fibrillation detection algorithm based on support vector machine classifier and Short Time Vector Machine, which could offer benefits to reduce the learning costs as well as good classification performance. It showed similar or higher values. Consequently, we could find that the proposed input features and SVM classifier would one of the most useful algorithm for cardiac disorder detection.
魯東訓,金東完,白承和 명지대학교 산업기술연구소 2007 産業技術硏究所論文集 Vol.26 No.-
In modern society, development of medical technology has extended the human life span. However, if has also caused some side-effects. Mostly old people who live alone are not available the medical service quickly when they are in emergency situations. Moreover Heart related diseases as well are rapidly increasing with aging. This study proposes the Emergency medical alarm system. This system measures the physiological signals such as ECG(electrocardiogram), Temperature, and motion data, analyzes those data automatically, and sends the urgent message to the Emergency Medical Center and to their family. There are two main parts in the system. In the first part, physiological data acquisition part, the troublesome addition and deletion of body signals on existing proposed systems have been supplemented, which led to the modulized production by means of ECG sensor module, temperature sensor module, acceleration sensor module. The other part is mobile unit, which includes signal processing and transmission functions. And Bluetooth allows two parts to communicate with each other. Data that are processed in the mobile unit are stored in the PC database through the WLAN using TCP/IP protocol.