• 한국물환경학회지
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• 제29권1호
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• pp.7-18
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• 2013

We compared the structure of fish community and condition of major fish species in Lake Chungpyung and Lake Paldang, which are relatively shallow, meso-eutrophic, cascading dam reservoirs on the North Han River. Two lakes have wide littoral zone in the lakeside providing similarly good habitat for fishes, whereas fishery and water recreational activities such as motorboating, water skiing are allowed in Lake Chungpyung but are prohibited in Lake Paldang. The average lengths of large size fishes in Lake Chungpyung are shorter than those of same species in Lake Paldang, resulting in the slight distortion of generation distribution of those species in Lake Chungpyung, possibly owing to the active fishery such as fixed shore net fishing, gill net fishing and angling. Meanwhile the condition of fishes represented by the length-weight relationship of fish species did not show the significant differences between two lakes and showed normal condition. To evaluate the impact of physical disturbance such as loud noise and turbulent wave from water recreational activities to fishes precisely, further studies including physiological responses to stress an spawing activity should be needed.

• 대한임베디드공학회논문지
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• 제9권3호
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• pp.145-150
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• 2014

This paper presents an effective vision based method for LED traffic light detection at the daytime. First, the proposed method calculates horizontal coordinates to set region of interest (ROI) on input sequence images. Second, the proposed uses color segmentation method to extract region of green and red traffic light. Next, to classify traffic light and another noise, shape filter and haar-like feature value are used. Finally, temporal delay filter with weight is applied to remove blinking effect of LED traffic light, and state and weight of traffic light detection are used to classify types of traffic light. For simulations, the proposed method is implemented through Intel Core CPU with 2.80 GHz and 4 GB RAM, and tested on the urban and rural road video. Average detection rate of traffic light is 94.50 % and average recognition rate of traffic type is 90.24 %. Average computing time of the proposed method is 11 ms.

• 전기학회논문지
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• 제65권5호
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• pp.857-861
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• 2016

In this study, we proposed a new method that can be measure ECG (Electrocardiography) and PPG (Photoplethysmography) in realtime on the site of the wrist for check the state of health in daily life. For convenience measurement of ECG the lead I method was used on the wrist, and omit the reference junction ECG I was measured in the right hand and the left hand of the potential difference. Then the measured electrocardiogram was amplified by the differential amplifier and the signals were passed HPF, LPF, and BPF filters. For removing the PPG's noise from the Motion artifact and temperature, we apply the reflective photoelectric volume pulse wave measurement method using green LED as a light source. The circuits was designed to be able to check the waveform using higher active amplification method at weak signals. For the validation of our device, the measured signals were compared with E2-KIT on same time. The results shows that the error does not exceed the maximum one, most of the data is confirmed to be issued Peak inspection of the same number.

• KIEAE Journal
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• 제9권5호
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• pp.69-76
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• 2009

The purpose of this study is to provide basic data needed for planning and designing apartment community facilities in order to vitalize rental apartments. Outdoors community facilities of six rental apartments in Seoul were examined. The results are as follows. Firstly, the conditions of planning characteristics showed that the convenience is ranked as the highest priority of planning, compared to safety, friendliness and finally comfortableness. Community facilities are connected with the apartments and sidewalk providing convenient access for all apartment residents, there was little regard given to the features of comfortableness. Secondly, comfortableness of community facilities were shown to the lowest, compared to any characteristics. It is not easy to control noise and privacy in facility, and there are lack of near community facilities, for washing hands, drinking water and shielding from snow or rain, respectively. Thirdly, green facilities were shown to the highest applied friendliness more than other facilities. They were well outfitted with water space and gardening spaces, and robustly applied environment friendly materials and colors. Fourthly, resting facilities were shown to the lowest applied safety more than other facilities. Structure and material of facility are favorable but there is an absence of nonskid material and night-lightening system.

• 한국전기전자재료학회논문지
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• 제31권4호
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• pp.255-260
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• 2018

In recent years, increasing electricity use has led to considerable interest in green energy. In order to effectively supply, cut off, and operate an electric power system, many electric power facilities such as gas insulation switch (GIS), cable, and large substation facilities with higher densities are being developed to meet demand. However, because of the increased use of aging electric power facilities, safety problems are emerging. Electromagnetic wave and leakage current detection are mainly used as sensing methods to detect live-line partial discharges. Although electromagnetic sensors are excellent at providing an initial diagnosis and very reliable, it is difficult to precisely determine the fault point, while leakage current sensors require a connection to the ground line and are very vulnerable to line noise. The partial discharge characteristic in particular is accompanied by statistical irregularity, and it has been reported that proper statistical processing of data is very important. Therefore, in this paper, we present the results of analyzing ${\Phi}-q-n$ cluster distributions of partial discharge characteristics by using K-means clustering to develop an expert partial discharge diagnosis system generated in a GIS facility.

• 환경영향평가
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• 제2권1호
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• pp.31-38
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• 1993

As the environmental concerns have shifted gradually from the environmental pollutions to the Quality of Life (QOL) enhancement, it has become increasingly important to implement comprehensive assessment of environmental quality for public information as well as decision making. This study focuses on development of PEI(Public Environment Index) which has purposes to improve regional environment and analyzes the status of environment by public as one kind of environmental indices. Factors of PEI calculations are air, water, noise, green space and landscape. Factors are composed of 20 items including soiling and odor. Major contents are calculation of PEI, correlation analysis of factors and items of PEI, regression analysis of PEI and objective environmental indicators prepared as a dong unit, and PEI presentation using GIS. Also, for applying PEI effectively, environmental information as a dong unit is to be collected and managed periodically.

• 한국컴퓨터정보학회논문지
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• 제17권2호
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• pp.87-94
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• 2012

기계적 제동방식이 사용되는 전동차는 공기제동과 전기제동을 혼합한 방식으로 최근 녹색성장을 지향하면서 효율개선 및 환경문제 해결을 위한 많은 방법들이 제시되고 있다. 기계적인 제동은 분진, 소음 등의 환경문제와 함께 브레이크 슈와 라이닝 등의 소모품을 교체해야하는 경제적 문제를 가지고 있다. 이러한 단점을 보완하기 위하여 고속 영역에서 정지에 이르는 광범위한 영역에 이르기까지의 전기제동을 필요로 하게 되었다. 본 연구는 구배에 의한 부하토오크를 추정하여 전동차를정지시키는방법에대해연구되어졌으며낙차에따른 토오크를 추정하여 제동하는 방법의 특성을 확인하였다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.83-84
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• 2023

Wall structure smart modular is a building construction method where modules are manufactured in a factory and assembled on-site. This method is gaining popularity in the construction industry as it reduces construction time and mitigates risks such as material supply and labor costs. Wall structure smart modular is necessary as it provides comfortable temporary classroom space during renovation and remodeling of aging school buildings. The structure and characteristics of each type of temporary classroom modular were compared, and wall structure modular showed superior performance in terms of height and weight competitiveness compared to mixed structures. With these advantages, wall structure modular can ensure economic efficiency and recyclability as a temporary classroom. In the future, we aim to compare and analyze the standards such as inter-floor noise and heat transfer coefficient for wall structure and mixed structures.

• International Journal of Precision Engineering and Manufacturing-Green Technology
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• 제9권
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• pp.1563-1573
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• 2021

The impinging jet technique is a critical process for enhancing mechanical properties. Sensors for the precise diagnosis of the nozzle status are necessary to maintain product quality and reduce cost. The application of commercial sensors for this purpose is difficult because sensors in the casting, rolling, and reheating processes should provide sensitivity to small impact variations, durability, anticorrosion, waterproofing, and high-temperature endurance. We developed a sensor module to satisfy these engineering requirements. The sensor monitored impact pressures based on the reduction in the collision force caused by abnormal impinging jet flows. Smart signal filtering based on a low-pass filter was employed to achieve a short CPU time, noise discrimination, and the preservation of signal characteristics. A method for nozzle position synchronization and a new performance index for impinging jets for multiple-nozzle sensing in practical applications were also developed. The developed sensor module was validated using artificial abnormal nozzles and tested in the field. The validations showed that the developed sensor with the smart filter and nozzle synchronization method could provide an individual jet status with a high precision. The developed sensor is expected to contribute to the improvement of machine health monitoring technology in various fields with jet nozzles.

• 대한교통학회지
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• 제34권2호
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• pp.158-167
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• 2016

본 연구는 실시간 자료를 기반으로 k-NN을 활용한 단기 교통상황 예측 시 각 단계별 세부절차 및 변수결정, 입력자료 구축 등의 각 단계별 잠재적 예측오차에 대한 원인분석 및 시사점 도출을 목적으로 한다. 다양한 단기 예측모형에 대한 선행연구 검토를 통하여 k-NN 모형의 유용성을 검토하였고 이에 대한 적용가능성을 분석하였다. 본 연구의 k-NN 모형은 이력자료 평활화 및 패턴DB 구축의 입력자료 부분, 실시간 자료와 과거 이력자료와의 유사성 측정 및 k 근접이웃 결정 등의 k-NN 알고리즘 부분, 그리고 예측 시간간격에 따른 출력결과 부분 등으로 구성되며 올림픽대로 김포방향 한강대교 남단~여의상류IC 구간을 대상으로 분석을 실시하였다. 교통자료의 불규칙 잡음으로 인하여 정확한 패턴매칭을 위해서 이력자료의 평활화를 실시하였으며, 이력자료 패턴 DB는 일반 및 이벤트 상황으로 구분하여 활용하였다. 최적의 시계열 자료 및 k 근접이웃 결정을 위해서 시행착오 방법을 적용하였으며, 단기 교통상황 예측 시 예측 시간간격이 증가할수록 예측오차가 증가하는 패턴, 그리고 교통상태가 급변하는 시점에서도 예측오차가 증가함을 알 수 있었다. 본 연구의 k-NN 모형에 대한 각 단계별 예측오차에 대한 원인을 분석하여 개선방향을 제시함으로써 향후 신뢰성 있는 단기 교통상황예측 정보제공 및 시스템에 활용이 가능할 것으로 판단된다.