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동적 신경망과 압축 센싱을 이용한 효율적인 이미지 분류 시스템
한수민(Sumin Han),최장희(Janghee Choi),금호현(Hohyun Keum),이현근(Hyunkeun Lee) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
This study presents an image classification system using the fusion of compressive sensing (CS) and a dynamic neural network. We developed an end-to-end deep learning framework to optimize the power consumption of the image classification system. The systems performance was analyzed through simulations, comparing accuracy for various compression ratios (CR) for CIFAR-10 datasets.
지능 반사 표면을 사용한 다중 안테나 시스템을 위한 시공간 선 부호 기반 심볼단위 사전부호화
한수민(Sumin Han),양홍준(Hong Jun Yang),최지훈(Jihoon Choi) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
This paper proposes a new precoding method for maximizing the detection signal-to-noise ratio (SNR) in the downlink of multiuser multiple-input multiple-output systems with intelligent reflecting surfaces (IRSs). The proposed symbol-level precoding scheme is derived based on the multiple space-time line code using the effective channels including the IRS elements. The optimization procedure of the proposed method is formulated as two subproblems for optimizing the phase shift of IRS elements and designing the symbol-level precoder in terms of maximizing the minimum detection SNR, respectively. In addition, a lowcomplexity algorithm is derived by employing a suboptimal closed-form solution for symbol-level precoding. Through numerical simulations, it is demonstrated that the proposed algorithm performs better than existing precoding schemes.
택배 물류 터미널에서의 화물하차 로봇 도입의 효율성 분석
한수민 ( Sumin Han ),원종운 ( Jong-un Won ),이석 ( Seok Lee ),( Enkhtsetseg Sampil ) 한국로지스틱스학회 2020 로지스틱스연구 Vol.28 No.6
Due to the continued growth of online shopping and the corona 19 incident, the proportion of face-to-face shopping is decreasing, and the online shopping market is growing by expanding its proportion and scope. Due to the characteristics of online shopping, the demand for small package delivery is increasing dramatically. Increasing demand for delivery creates a significant load on the delivery logistics process. Among these processes, the unloading work at the logistics terminal, which is performed by manpower, is most affected by increasing demand. However, because of the poor working environment and frequent accidents, it is required to improve the working environment and efficiency of the delivery logistics terminal. In this study, a parcel unloading robot is suggested to improve the environment and efficiency of a terminal. and the operating and allocation policies of unloading robots are suggested. And to verify the efficiency of the robot installed terminal, the simulation experiments are conducted.
자연 재해로 인한 피해 경감을 위한 구호 물류 거점 계획에 대한 연구
한수민(Sumin Han),정한일(Hanil Jeong),박진우(Jinwoo Park) 한국전자거래학회 2018 한국전자거래학회지 Vol.23 No.3
최근 들어 자연재해의 빈도 및 강도가 늘어나고 있으며, 이에 따른 피해 역시 늘어남에 따라, 재난 현장에 대한 대응이 점차 중요해지고 있다. 본 연구에서는 피해를 경감하기 위한 구호 물류에서 큰 비중을 차지하는 부분인 물류 거점의 위치와 규모를 선정하기 위한 연구를 수행하였다. 구호 물류에서의 거점은 물자의 비축을 수행하는 일반 물류 거점의 기능 외에도 이재민 수용, 부상자 응급 처치 등 다양한 기능을 겸비해야 하며, 거점의 위치를 선정하는 기준 역시 거리 외의 거점의 신뢰도 및 주변 환경의 위험성을 고려하여야 한다. 본 연구에서는 이를 위하여 IoT 센서를 이용하여 정보를 파악하기 위한 체계를 제안하였다. 또한 재난물류 거점문제는 다양한 수요에 대응하기 위한 기능의 배치에 대한 고려 역시 포함하여야 한다. 이를 풀이하기 위하여, 혼합정수계획 모델에 기반을 둔 알고리즘을 제시하였고, 재해 발생 시나리오를 고려한 시뮬레이션 실험을 통하여 모델의 성능을 검증하였다. Recently, the magnitude and frequency of the natural disaster have been increased, the damage has become severer. The importance of disaster response system to relieve the damage has arised continuously. This study has tried to develop the algorithm to solve the facility location and size problem in emergency logistics. A facility in the emergency logistics has various roles in victim care, casualty treatment, relief resource management and relief vehicle assistance. Moreover, the location of facility in emergency logistics has to consider the safety and reliability. To gather these information, information management system with IoT sensors are suggested. The location problem in this study also covers various features to response various demands in disaster. To solve this problem, this study suggested MIP based algorithm. Scenario based simulation experiments are conducted to verify the performance suggested algorithm.
한수민(Sumin Han),정한일(Hanil Jeong),김기동(Kidong Kim),박진우(Jinwoo Park) 한국경영과학회 2016 經營 科學 Vol.33 No.1
In 2000s, incidence of natural disaster is increasing continuously. Therefore, the necessity of research on the effective disaster response is emphasized. Korea is not safe from natural disaster. Natural disasters like torrential downpours, typhoons have occurred more frequently than before. In addition disasters like droughts and MERS has also occurred. Therefore, needs for effective systems and algorithms to respond disaster are increased. This study covers the vehicle routing problem for effective logistics in disaster situations caused by natural disasters. The emergency vehicle route problem has different property from the general vehicle route problem. It has the property of the importance of deadline, the uncertain and dynamic demand information, and the uncertainty in information transfer. In this study, a solution that focused on the importance of deadline. In this study, the heuristic solution using the genetic algorithm are suggested. Finally the simulation experiment which reflects the actual environment are conducted to verify the performance of the solution.