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관로 누수 탐지를 위한 GAN 기반의 지능형 감시시스템 구현
오승헌(Seung-Heon Oh),박승희(Seung-hee Park),김호성(Ho-sung Kim),김종립(Jong-rip Kim) 한국정보통신학회 2023 한국정보통신학회 종합학술대회 논문집 Vol.27 No.1
오늘날 수돗물 안전에 대한 사회적 요구가 높아짐에 따라, 상수도 全 과정의 효율적인 안전관리 및 위기 대응 강화를 위한 ICT 기반의 통합관제시스템 구축 필요성이 증대되고 있다. 특히 상수관로 상에 누수 사고 발생 시 신속한 위기 대응을 위한 실시간 지능형 통합관제 솔루션이 필요함에 따라, 본 논문에서는 관로 주변 CCTV 영상정보를 활용하여 누수 사고 발생 시 실시간 누수 객체 탐지를 위한 GAN(Generative Adversarial Networks) 기반의 지능형 감시시스템 구현방안을 제안한다. As the social demand for tap water safety increases today, the need to establish an ICT-based integrated control system for efficient safety management and crisis response in the entire water supply process is increasing. In particular, as there is a need for a real-time intelligent integrated control solution for rapid crisis response in the event of a water leakage accident on the water pipe, this paper uses GAN(Generative Adversarial Networks) Based on this, we propose an implementation plan for an intelligent surveillance system.
오승헌 ( Seung-heon Oh ) 한국정보처리학회 2014 한국정보처리학회 학술대회논문집 Vol.21 No.1
오늘날 사이버보안침해 위협의 증가에 따른 기업 내의 중요자료 유출을 방지할 수 있는 방안에 대한 연구의 필요성이 증대되고 있다. 본 논문에서는 비인가자의 네트워크 접속을 차단하는 네트워크 통제(NAC) 시스템과 개인 PC의 저장매체관리 시스템을 연계하여 정보보안의 핵심요소인 기밀성을 강화할 수 있는 모델을 제안하였다. 필수 SW(저장매체제어)를 설치하지 않을 경우 네트워크를 차단함으로서, 비인가자의 네트워크 차단과 동시에 중요자료 유출을 미연에 방지하여 보안을 강화할 수 있다.
조영인(Young-In Cho),오승헌(Seung-Heon Oh),곽동훈(Dong-Hoon Kwak),최재호(Jae-Ho Choi),우종훈(Jong Hun Woo) (사)한국CDE학회 2022 한국CDE학회 논문집 Vol.27 No.2
In the shipbuilding, outfitting processes are mainly performed on ships moored by quays of the shipyard. Quays in shipyards have different lengths, depths, and facilities so that the allowable quays for each ship are limited. In addition, the working efficiency of the quay process depends on the kinds of the quays where the outfitting processes are performed. As a result, it is inevitable for ships to move around the quays to avoid delay in schedule while maximizing the working efficiency. The movements of ships should be minimized because it is a waste of cost and time. In most shipyards, the quay allocation is manually determined by planners using their own implicit rules. However, the optimal plan can’t be obtained by those heuristics which only considers limited problem space. In this study, the scheduling algorithm for the quay allocation problem is developed using a reinforcement learning approach. Based on the Markov decision process model using discrete-event simulation, the scheduling agent is trained by DRQN (Deep Recurrent Q-network) algorithm and tested with 10 scenarios. The proposed algorithm outperforms the reference value set by heuristic in terms of three KPIs-unallocated duration, the number of ship movements, and ship-quay priority ratio.
RAST Inhibition 법으로 측정한 집먼지 진드기 항원 성분의 가옥내 분포상
김세균(Se Kyu Kim),박해심(Hae Sim Park),오승헌(Seung Heon Oh),홍천수(Chein Soo Hong) 대한내과학회 1988 대한내과학회지 Vol.35 No.1
N/A Two species of mites found in house dust, Dermatophagoides pteronyssimus and Dermatophagoides farinae, have been widely accepted as an important allergen contributing to bronchial asthma, allergic rhinitis and atopic dermatitis in Korea, Previous studies reported a seasonal variation and differences in the number of house dust mites in various sites of the house. Also, the literature reports a close relationship between the allergen concentration of house dust mites and the number of people living in a given space. In order to assess the distribution and the seasonal variations of the house dust mite allerge~n in the every day living environment of Korean homes, we collected dust samples from various sites in 20 different houses (bedclothes, on and under the furniture, windowframes, sofa and carpet). The samples were obtained in Seoul during the months of August & December of 1986 and May, July & September of 1987. Using an inhibition radioimmunoassay of Dermatophagoides farinae (d2, Dfa) and Dermatophagoides pteronyssimus (d1, Dpt), we examined the distribution of house dust mites allergen and calculated the allergen concentration using a dilution curve of Dpt solution (1mg/ml of Pharmalgen® presented by Pharmaeia Co.) and Dfa solution 1mg/ml of lyophilized extract presented by Torii Co.). The results are as follows; 1) The Dfa allergen level (105.65㎍/ml) in bedclothes was significantly higher than that found on the furniture (33.16㎍/ml), under the furniture (22.98㎍/ml), and on the windowframes (8.95㎍/ml) in August, 1986. The Dfa allergen level (102.13㎍/ml) on sofas was similar to that found in bedclothes. 2) The mean allergen concentrations of Dpt and Dfa in bedclothes, and on and under the furniture were not significantly different, although the allergen level of Dpt was higher than that of Dfa in the above mentioned sites in 15, 12 and 11 houses respectively. 3) As for the seasonal variation, the Dfa allergen concentration in bedclothes was highest during the month of August 1986 and then decreased until May, 1987 and thereafter an increasing trend was noted in July and September of 1987. This seasonal increase of Dfa allergen concentration was not noted in the samples found on the furniture, under the furniture and on the windowframes of July and September, 1987, but from August 1986 to May 1987 a decreasing trend was noted resembling that of bedclothes. We were able to obtain dust samples from sofas in only 4 houses in August of 1986 and then from 8 houses, however, the seasonal variation observed was similar to that of bedclothes. 4) The Dfa allergen concentration of bedclothes in oil heating homes (14 houses) was 13.57㎍/ml and in briquet heating homes (6 houses), it was 17.19㎍/ml in the dust samples taken December 1986 when heating systems were regularly operated, but there was no statistical significance between these values. 5) In comparison of the mean Dfa alergen concentrations in bedclothes and sofas according to the change in temperature and relative humidity during the time period of August 1986 to September 1987, the concentration was found to be highest in summer. These results suggest that the allergens of D. pteronyssimus and D. farinae were equally important in 20 houses in Seoul. The bedclothes were the moat abundant source of mite allergens and the peak concentration of mite allergen was noted in summer.