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실시간 이동형 측정시스템을 이용한 염색산업단지의 대기오염 및 악취 물질의 배출특성 연구
유정웅,공부주,류성민,김종현,김정훈,박정민 한국냄새환경학회 2019 실내환경 및 냄새 학회지 Vol.18 No.4
In this study, real-time monitoring of air quality using a real-time mobile monitoring system was conducted to identify the emission characteristics and current status of air pollutants and odorous substances that are mainly generated in domestic dyeing industrial areas and to trace the pollutant sources. The concentration of toluene in the industrial area was detected up to 926.4 ppb, which was 3 to 4 times higher than that of other industrial areas. The concentration of methylethylketone was 124.7 ppb and the concentration of dichloromethane was 129.5 ppb. Acrolein concentration was highest at E point at 521.6 ppb, methanol concentration was highest at D point at 208.8 ppb, and acetone concentration was highest at M and N points at 549.3 ppb. The most frequently detected concentration of pollutants in the air quality monitoring results in the industrial area was, in descending order, toluene > methanol > acrolein > dichloromethane > acetone, which was similar to the chemical emissions used in the industrial area by the Pollutant Release and Transfer Register data. The concentration of odorous substances measured in real time was compared with the concentration of minimum detection, and the concentration of hydrogen sulfide was about 10 times higher than the concentration of minimum detection at A point, which was judged to be the main odorous cause of A point. In the future, if the real-time mobile measurement system is constructed to automatically connect wind direction/wind speed, PRTR (Pollutant Release and Transfer Register) data and SEMS (Stack Emission Management System) data, etc., it was judged that more accurate monitoring could be performed.
유정웅,김승석,송창규,김성수,Ryu Jeong woong,Kim Sung Suk,Song Chang kyu,Kim Sung Soo 한국통신학회 2005 韓國通信學會論文誌 Vol.30 No.6C
In this paper, we propose a self-constructed clustering algorithm based on inference information of the fuzzy model. This method makes it possible to automatically detect and optimize the number of cluster and parameters by using input-output data. The propose method improves the performance of clustering by extended supervised learning technique. This technique uses the output information as well as input characteristics. For effect the similarity measure in clustering, we use the TSK fuzzy model to sent the information of output. In the conceptually, we design a learning method that use to feedback the information of output to the clustering since proposed algorithm perform to separate each classes in input data space. We show effectiveness of proposed method using simulation than previous ones 본 논문에서는 퍼지 추론 시스템의 추론 정보를 이용하여 자율적으로 구조를 결정하는 클러스터링 기법을 제안한다. 제안된 기법은 주어진 입출력 데이터를 이용하여 자율적으로 클러스터의 수를 추정하고 동시에 이들 파라미터를 최적화한다. 일반적인 클러스터링 기법에서 볼 수 있었던 비교사학습을 교사학습으로 확장하여 클러스터 추정에 입출력 인과 관계를 고려한 학습을 실시하게 하여 전체 모델의 성능을 개선하고자 하였다. 출력 정보가 입력공간에서 클러스터링 학습에 적용됨으로써 클러스터링에서의 각 클래스의 구분 작업이 더 원활하게 이루어 질 수 있다. 모의실험을 통하여 기존의 연구 결과와 비교하여 제안된 기법의 유용성을 보인다.
A new learning algorithm of neural-fuzzy modeling using self-constructed clustering
유정웅,김승석,손창규,김성수 한국지능시스템학회 2005 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.5 No.2
In this paper, we proposed a learning algorithm for the neuro-fuzzy modeling using a learning rule to adapt clustering. The proposed algorithm includes the data partition, assigning the rule into the process of partition, and optimizing the parameters using predetermined threshold value in self-constructing algorithm. In order to improve the clustering, the learning method of neuro-fuzzy model is extended and the learning scheme has been modified such that the learning of overall model is extended based on the error-derivative learning. The effect of the proposed method is presented using simulation compare with previous ones
UCA 기반 OAM 다중모드 전송시스템에 대한 지면 반사의 영향
유정웅(Jeong-Ung Yoo),손해원(Hae-Won Son) 한국전자파학회 2018 한국전자파학회논문지 Vol.29 No.1
본 논문에서는 균일원형배열(UCA) 안테나를 이용한 궤도각운동량(OAM) 다중모드 전송시스템의 채널용량에 대하여지면 반사가 미치는 영향을 수치적으로 분석하였다. 지면 반사는 OAM 다중모드 간 간섭을 유발하고 시스템의 심각한 성능 저하를 가져온다. 전송거리가 증가함에 따라 OAM 다중모드 채널용량은 지면 반사의 영향으로 인하여 매우 작아진다. 지면 반사의 영향을 줄이기 위해서는 UCA의 높이를 높이고, 배열 소자의 지향성을 높이는 것이 필요하다. This paper investigates the ground reflection effect on the channel capacity of an orbital angular momentum (OAM) multi-mode transmission system that uses uniform circular array (UCA) antennas. The ground-reflected signals cause inter-mode interferences between the OAM modes, and lead to system performance degradation. The OAM multi-mode channel capacity severely degrades owing to the ground reflection as the transmission distance increases. Increasing the UCA height above the ground and using highly directive array elements can mitigate the ground reflection effect and increase the channel capacity.