Map과 GPS 기반의 혼적을 고려한 물류할당 및 모니터링 시스템

박철순,랄손 바즈라차리야 한국산업경영시스템학회 2018 한국산업경영시스템학회지 Vol.41 No.4

In the field of optimization, many studies have been performed on various types of Vehicle Routing Problem (VRP) for a long time. A variety of models have been derived to extend the basic VRP model, to consider multiple truck terminal, multiple pickup and delivery, and time windows characteristics. A lot of research has been performed to find better solutions in a reasonable time for these models with heuristic approaches. In this paper, by considering realtime traffic characteristics in Map Navigation environment, we proposed a method to manage realistic optimal path allocation for the logistics trucks and cargoes, which are dispersed, in order to realize the realistic cargo mixing allowance and time constraint enforcement which were required as the most important points for an online logistics brokerage service company. Then we developed a prototype system that can support above functionality together with delivery status monitoring on Map Navigation environment. First, through Map Navigation system, we derived information such as navigation-based travel time required for logistics allocation scheduling based on multiple terminal multiple pickup and delivery models with time constraints. Especially, the travel time can be actually obtained by using the Map Navigation system by reflecting the road situation and traffic. Second, we made a mathematical model for optimal path allocation using the derived information, and solved it using an optimization solver. Third, we constructed the prototype system to provide the proposed method together with realtime logistics monitoring by arranging the allocation results in the Map Navigation environment.

“IEEE Fellow” 선정

박철순,이재성 한국전자파학회 2020 전자파기술 Vol.31 No.1

Development of Logistics Allocation and Monitoring System based on Multi-Depot Pickup and Delivery Model

박철순,노승희,Larsson Bajracharya 한국산업경영시스템학회 2018 한국산업경영시스템학회 학술대회 Vol.2018 No.춘계

최적화 분야에서는 VRP(Vehicle Routing Problem)에 대한 많은 연구가 오래전부터 이루어져 왔다. 기본적인 VRP 모형을 확장하여, 단일차고지와 다수차고지 특성, Pickup and Delivery 특성, Time Windows 특성 등을 고려하여 다양한 모형들을 도출되고 있으며 이들에 대한 보다 나은 해를 구하는데 초점이 맞추어져 왔다. 이들 VRP 모형들은 노드 수의 증가에 따른 NP-Hard 특성을 가지고 있기 때문에 최적화에 초점을 맞추기 보다는 Genetic Algorithms, Tabu Search, Simulated Annealing 등의 메타휴리스틱 기법 등을 이용하여 적용할 수 있는 우수한 해를 도출하려 노력을 기울이고 있다. 본 연구에서는 시간제약을 가지는 Multi-Depot Pickup and Delivery 모형을 이용하여 3자물류 기업에서 물류 트럭의 할당 및 이들에 대한 운영 상황 모니터링을 지원할 수 있는 시스템 개발에 초점을 맞추고 있다. 본 연구에서는 먼저 수요기업의 요구사항을 반영하여 가장 중점을 두고자 하는 혼적이 가능하고 시간제약을 반영한 해를 도출하고자 했으며 도출된 해를 기반으로 물류를 트럭에 할당한 후 물류 트럭에 대한 GPS기반의 모니터링 시스템을 제안하고자 한다.

스마트 모바일 시큐리티 정책 방향

박철순,Park, Cheol-Sun 한국정보통신기술협회 2011 TTA저널 Vol.133 No.-

진동 데이터를 이용한 모터 다이나모 시험에서의 이상상황 탐지

박철순 한국산업경영시스템학회 2022 한국산업경영시스템학회 학술대회 Vol.2022 No.추계

When developing a new motor, a high-speed load test is performed using dynamo equipment to calculate the efficiency of the developed motor using the collected dynamo data. When connecting the test motor and the dynamo used as a load, abnormal noise and vibration may occur in the test equipment rotating at high speed due to misalignment of the connecting shaft and looseness of the connection, which may lead to a safety accident. In this study, three vibration sensors are attached to the surface of bearing parts of the test motor to measure the vibration value, and statistics such as kurtosis, skewness, and percentiles are obtained in order to clearly express the pattern of the measurement data. With these statistics, machine learning models are developed. The developed model in this way can be used as a diagnostic system that can detect abnormal conditions of the motor test equipment through monitoring the motor vibration data during the motor test.

기업 간 네트워크에서 배태성과 지식 자산과의 관계

박철순 한국경영과학회 2019 經營 科學 Vol.36 No.2

The purpose of this study is to investigate the relationship between a firm’s embeddedness and knowledge base. In particular, it covers both the structural and relational dimensions of embeddedness and distinguishes a firm’s knowledge base with the breadth and depth of knowledge. In order to clarify the relationship among them, an agent-based model was established based on the organizational learning curve and simulations were conducted. The analysis of simulation data reveals that there is a positive relationship between a firm’s structural dimension of embeddedness and its breadth of knowledge, while a negative relationship with its depth of knowledge. The larger the degree centrality, the betweenness centrality, the number of structural holes, the number of balanced triads, the broader its knowledge and the less its depth of knowledge. Regarding the relational dimension of embeddedness, the larger the proportion of weak links and trust level, the broader its knowledge and the less its depth of knowledge base. The larger the proportion of strong links, the deeper its knowledge and the narrower its breadth. As for network type, a random network has the largest breadth and the lowest depth of knowledge base on average, while a small world network has the narrowest breadth and the largest depth of knowledge base on average. As the density of the network increases, the breadth of knowledge increases and the depth decreases on average. The greater the number of knowledge domains that a firm has, the wider and shallower the knowledge. The faster the industry is in depreciation of knowledge, the greater the breadth of knowledge and lessened the depth.

Digital Modulation Types Recognition using HOS and WT in Multipath Fading Environments

박철순,Park, Cheol-Sun The Institute of Electronics and Information Engin 2008 電子工學會論文誌-CI (Computer and Information) Vol.49 No.1

In this paper, the robust hybrid modulation type classifier which use both HOS and WT key features and can recognize 10 digitally modulated signals without a priori information in multipath fading channel conditions is proposed. The proposed classifier developed using data taken field measurements in various propagation model (i,e., rural area, small town and urban area) for real world scenarios. The 9 channel data are used for supervised training and the 6 channel data are used for testing among total 15 channel data(i.e., holdout-like method). The Proposed classifier is based on HOS key features because they are relatively robust to signal distortion in AWGN and multipath environments, and combined WT key features for classifying MQAM(M=16, 64, 256) signals which are difficult to classify without equalization scheme such as AMA(Alphabet Matched Algorithm) or MMA(Multi-modulus Algorithm. To investigate the performance of proposed classifier, these selected key features are applied in SVM(Support Vector Machine) which is known to having good capability of classifying because of mapping input space to hyperspace for margin maximization. The Pcc(Probability of correct classification) of the proposed classifier shows higher than those of classifiers using only HOS or WT key features in both training channels and testing channels. Especially, the Pccs of MQAM 3re almost perfect in various SNR levels. 본 논문은 다중경로 페이딩 채널 조건에서 사전 정보없이 입사하는 디지털 신호 10종의 변조형태를 고정확도로 인식할 수 있도록 고차 통계량(HOS)과 웨이브릿 변환(WT)에서 선정된 특징(key features)을 이용한 견실한 하이브리드 분류기를 제안하였다. 제안된 분류기는 실제 시나리오를 고려하여 다양한 다중경로 환경(즉, 농촌, 소도시, 도심지역)에서 측정된 채널 데이터를 이용하였다. 실제 측정된 다중경로 페이딩 채널 데이터를 이용하여 Holdout-like 방식으로 총 15개 채널 중 9개 채널은 트레이닝용으로 사용하고, 나머지 6개 채널은 테스트용으로 사용하였다. 제안된 분류기는 다중경로 환경에서 높은 변별력을 유지하는 HOS 특징을 기반으로 구현되었고, AMA(Alphabet Matched Algorithm) 또는 MMA(Multi-modulus Algerian)와 같은 등화기법의 적용없이 분류가 어렵다고 알려진 MQAM신호(M=16, 64, 256)들에 대해서만 WT 특징을 적용하였다. 선정된 특징들을 이용한 변조인식은 입력공간에서 최대 마진을 갖는 하이퍼 공간으로 매핑시킴으로서 분류 능력이 우수하다고 알려진 SVM 메소드를 적용하여 시뮬레이션을 실시하였다. 제안된 분류기의 성능은 트레이닝 채널과 테스트 채널에서 WT 또는 HOS 특징만을 단독으로 사용하는 분류기에 비해 현저한 성능 향상을 보였고, 특히, MQAM 신호의 인식률은 낮은 SNR레벨에서도 거의 완전하게 분류되었다.

2차원 멀티베이스라인 방향탐지 배열 구조 설계

박철순,김대영,Park, Cheol-Sun,Kim, Dae-Young 한국통신학회 2006 韓國通信學會論文誌 Vol.31 No.10A

본 논문에서는 방위각과 고각을 동시에 탐지하는 2차원 멀티베이스라인 센서 배열 설계에서 DOA(Direction Of Arrival) 정확도를 유지하면서 센서 안테나수를 최소화하기 위해 위상차 공간에서 유클리드 최소 거리함수를 이용한 논하모닉 배열 구조 설계 메소드를 제안한다. 제안된 메소드는 기존 메소드와 달리 최소 이격 거리비가 반파장 이상인 경우에도 적용 가능할뿐더러 임의 배열구조에서도 적용이 가능한 장점을 갖는다. 다중신호 입사조건에서 초분해능 알고리즘을 적용한 모의 실험을 통해 설계 접근성의 효율성을 제시하였다. 또한 제안된 메소드를 적용하여 2차원 비대칭 배열 안테나를 설계하였고, 제작된 배열 안테나를 이용한 실험 결과를 통해 그 성능을 확인하였다. In this Paper, we Present a nonharmonic may geometry design method using Euclidan minimum distance function in difference Phase spaces for 2-D (azimuth/elevation) multiple baseline antenna may which has a way to reduce the number of sensor antennas while maintaining accurate DOA estimate. The major advantages of our approach is that even the shortest interelement spacing can be larger than half-wavelength and is not limit13d to linear and it can be applied successfully to any array configuration. In multiple signals impinging situation, the performance simulation results of superresolution algorithms shows the effectiveness of the proposed method. Also the 2-D asymmetric may using the Proposed method is designed and the Performance of the manufactured away through the experimental test is verified.

Preparation of Polyurea Nanocapsules by Interfacial Polycondensation

박철순,김세라,이천일,표형배,신재섭 한국고분자학회 2007 한국고분자학회 학술대회 연구논문 초록집 Vol.2007 No.10

2LK-11 Novel ``Turn-On`` Fluorescent Probes for the In Vivo Imaging and Detection of Hydrogen Sulfide

박철순,배준원,이창수,권오석,윤현석 한국공업화학회 2017 한국공업화학회 연구논문 초록집 Vol.2017 No.0