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수돗물에서 무기 오염물질 최소 반응 농도 결정의 실험적 고찰
윤석민(Sukmin Yoon),김성수(Seong-Su Kim),채선하(Seon-Ha Chea),박노석(No-Suk Park) 大韓環境工學會 2017 대한환경공학회지 Vol.39 No.4
본 연구에서는 국내 실정에 맞는 한국형 CWS 구축의 일환으로 국내 배·급수 시스템에서 오염 사고 발생가능성이 있는 무기 오염물질 네 종류(카드뮴, 크롬, 망간, 납)를 선정하고 batch 실험을 통해 각 오염물질의 수돗물에 주입 시 감지 가능한 “최소 반응 농도(minimum response concentration)”를 결정하고자 하였다. 무기 오염물질 네 종류에 대해 수질 인자들의 최소 반응 농도를 추적한 결과 카드뮴(수질기준 0.005 mg/L)에 대한 최소 반응 농도는 0.05~0.08 mg/L, 크롬(수질기준 0.05 mg/L)에 대한 최소 반응 농도는 0.03 mg/L, 망간(수질기준 0.05 mg/L)에 대한 최소 반응 농도는 0.005 mg/L, 그리고 납(수질기준 0.01 mg/L)에 대한 최소 반응 농도는 0.02~0.08 mg/L인 것으로 분석되었다. In this study, four inorganic pollutants (cadmium, chromium, manganese, lead), that could cause contamination events in drinking water distribution system, were selected and batch tests were carried out to determine the “minimum response concentration (MRC)”, a part of Korean Contamination Warning system establishment. As the results, the minimum response concentration of cadmium was found to be 0.05 to 0.08 mg/L (0.005 mg/L : water quality standard) and that of chrome was 0.03 mg/L (0.05 mg/L). And the minimum reaction concentration was 0.005 mg/L for manganese (0.05 mg / L for water quality) and 0.02~0.08 mg/L for lead (0.01 mg/L).
윤석민(Sukmin Yoon),김진환(Jinwhan Kim) 한국해양공학회 2014 韓國海洋工學會誌 Vol.28 No.6
In this study, the problem of trajectory optimization for underwater gliders considering depth constraints is discussed. Typically, underwater gliders are controlled to dive and climb in a saw-tooth pattern at constant gliding angles. This approach is effective and close to optimal for deep water applications. However, the optimal path deviates from the saw-tooth path in shallow water conditions. This study focuses on finding more efficient gliding paths that can minimize the traverse time in the horizontal plane when the water depth is limited. The trajectory optimization problem is formulated into a minimum time control problem with inequality path constraints and hydrodynamic drag effects. A numerical approach based on the pseudo-spectral method is adopted as a solution approach, and the simulation results are presented.
Sukmin Yoon(윤석민) 서강대학교 법학연구소 2021 서강법률논총 Vol.10 No.3
2017년 미얀마 독재 세력이 미얀마 라카인주 등지에서 로힝야족 학살을 자행했다. 2021년에 미얀마 군부는 쿠데타를 일으켜 시민들을 살해하고 있고, 이들은 오히려 쿠데타의 정당화 근거를 로힝야 난민캠프에서의 선거 부정 때문이라고 밝히고 있다. 이 글은 미얀마에서의 이러한 심각한 인권침해에 연루된 한국 다국적 기업의 책임을 고찰하고자 한다. 먼저, 이러한 중대한 인권침해에 연루된 한국 다국적 기업의 상황에 대한 유엔 특별보고문서 및 엠네스티 인터내셔널 보고서 등을 분석한다. 이에 대한 전통적인 국제법에서의 법인의 책임, 국제인권법의 판례이론 및 기타 법적 구속력 있는 책임을 검토한다. 국제무기조약(ATT), 기업과 인권 조약(국제인권법에서 초국적 기업 및 기타 기업의 활동에 관한 법적 구속력 있는 협약) 및 유럽연합 기업실사의무화 지침을 이 사안에 적용하여 해당 기업에 대한 책임의 추궁방법을 모색하고자 한다. 이를 통하여 유엔 기업과 인권 이행원칙(UNGPs)에서는 누락된 요소인 다국적 기업의 ‘역외적’ 인권 보호 또는 존중 의무를 결론적으로 검토하려는 목적이다. The Myanmar military dictatorship that slaughtered the Rohingya in 2017 launched a coup for the rigged election in the Rohingya refugee camp area, thereby killing the Myanmar citizens in 2021. The purpose of this article is to provide a preliminary examination of holding the Korean multinational corporation accountable for their complicity in the gross human rights violations of Myanmar. It also intends to theoretically examine the accountability of legal persons within traditional international law, accountability in international criminal law, theories of criminal law in major countries, and criminal, administrative, and civil accountability in the international human rights treaties. This short contribution aims to assess how to hold the Korean multinational corporation(POSCO) accountable for their involvement in the serious human rights abuses in Myanmar through the Arms Trade Treaty(ATT), a new treaty on business and human rights(Legally Binding Instrument to Regulate, in International Human Rights Law, the Activities of Transnational Corporations and Other Business Enterprises) and EU Draft Directive on corporate due diligence and corporate accountability. In light of those developments, this paper aims to explore ways how to regulate the business extraterritorial accountability to respect or protect human rights, which is a missing component of the UN Guiding Principle on Business and Human Rights(UNGPs) in the conclusion.
노드 위치의 불확실성을 고려한 다수 운동체의 강인한 작업 할당 알고리즘
윤석민(Sukmin Yoon),김진환(Jinwhan Kim) 제어로봇시스템학회 2018 제어·로봇·시스템학회 논문지 Vol.24 No.10
Effective collaboration of multiple vehicles has received much research attention as advances in the operation of single unmanned systems have gradually matured for practical application. Typically, task allocation is performed to minimize (or maximize) the expected cost (or utility), assuming that the cost matrix is constant. However, the quality of task allocation in terms of optimality and reliability may vary significantly, depending on the disturbances generated by the uncertainties of the nodes (positions of vehicles and tasks). This paper addresses the problem of multi-vehicle task allocation with consideration of node uncertainties. To assess the robustness of the solution, a combination of the interval Hungarian algorithm and the Gaussian approximation is employed. The performance of the proposed algorithm is demonstrated through numerical simulations of multi-objective (distance and robustness) task allocation.
전이학습을 활용한 군집제어용 강화학습의 효율 향상 방안에 관한 연구
이슬기,김권일,윤석민,Seulgi Yi,Kwon-Il Kim,Sukmin Yoon 한국군사과학기술학회 2023 한국군사과학기술학회지 Vol.26 No.4
Swarm has recently become a critical component of offensive and defensive systems. Multi-agent reinforcement learning(MARL) empowers swarm systems to handle a wide range of scenarios. However, the main challenge lies in MARL's scalability issue - as the number of agents increases, the performance of the learning decreases. In this study, transfer learning is applied to advanced MARL algorithm to resolve the scalability issue. Validation results show that the training efficiency has significantly improved, reducing computational time by 31 %.
CFD 모사 기법을 이용한 막 모듈 배관 설계 적정성 평가에 관한 연구
김채원(Chaewon Kim),윤석민(Sukmin Yoon),김성수(Seong-Su Kim),김종은(Jongeun Kim),박노석(No-Suk Park) 대한환경공학회 2018 대한환경공학회지 Vol.40 No.3
본 연구에서는 CFD모사와 실험을 통해 저압막이 병렬 배열된 막모듈로 유입되는 구조를 가진 다지관을 대상으로 수리구조를 개선하여 각 모듈로 유입되는 유입유량을 균등하게 분포시킬 수 있는 방안을 제시하고자 하였다. 모듈로 유입되는 유입유량을 균등하게 분포시킬 수 있는 방안을 CFD로 설계한 결과, 헤더 배관 내에 오리피스 배관을 하나 더 설치하는 이중배관원리를 적용함으로써 다지관에서 막모듈로 유입되는 유입유량의 변동계수가 약 76% 감소됨을 확인 하였다. 또한 CFD의 결과를 검증하기 위한 실험에서도 변동계수가 약 50% 감소함으로써 내부에 요철이 있는 오리피스 내관을 설치하는 것이 효과가 있다는 것을 확인하였다. This study was conducted to suggest the hydraulic modification for improving evenness of inlet flow distribution into the manifold pipe having a structure in which the treated water flows in parallel arranged membrane modules using CFD (Computational Fluid Dynamics) simulation and experiment. From a result of CFD simulation, it was confirmed that the standard deviation of the inlet flows into each membrane module from the manifold pipe was reduced by about 76% by installing other orifice pipe inside header pipe (double piping header). In addition, the experimental results showed that the coefficient of variation was reduced by 50% in the case of double piping header compared to the case of single piping header. Consequently, the design concept of doubling header pipe with rough internal pipe is much effective to improve the evenness of the flow distribution rate in parallel arranged membrane modules.
다중 로봇 시스템 지도통합을 위한 최대 가중 클릭 기반 강인한 루프 폐쇄 기법
도학기(Haggi Do),윤석민(Sukmin Yoon),김진환(Jinwhan Kim) 제어로봇시스템학회 2020 제어·로봇·시스템학회 논문지 Vol.26 No.3
For efficient collaborations of multi-robot systems during missions, robots must estimate their poses and map the surrounding environment, which can be achieved through multi-robot SLAM (Simultaneous Localization and Mapping). Depending on the mission, the relative poses between the local coordinates of the robots, which must be inferred to generate a global map, may be unknown. The inference is made using the measurement constraints between the robot trajectories, which are often perception-derived measurements that rely on the similarity of two instances of sensor data. Due to this dependence, perceptual aliasing, which is a phenomenon of wrongly identifying two different places as the same location, may occur and produce false loop closures that lead to a catastrophic failure of the SLAM system. This study proposes a robust inter-robot loop closure selection method that reject outlier measurements by checking both consistency of the loop closure and the similarity between the sensor data associated with the loop closure. By considering these two properties, the correct loop closures can be found despite the lack of prior knowledge regarding the relative poses among robots. We demonstrate herein how this problem can be formulated as a maximum weight clique problem, in which the degree of data similarity associated with the loop closures is considered in the form of weight in the objective function. A simulation was executed to validate the method performance and the results showed that the proposed method outperforms existing methods.