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컨테이너터미널 트랜스퍼 크레인의 배정 및 이동경로 최적화 모델
신정훈,유성진,장명희 한국항해항만학회 2008 한국항해항만학회지 Vol.32 No.6
As the excessive competition between container terminals has been deepening, not only productivity, but also cost economic of the terminals has been raised. With regard to this, the competitiveness of the terminals is limited because of inefficiency operation of transfer crane(T/C) which needs large amount of energy consumption. Therefore, it is possible that the improvement in the T/C operation leads to saving cost for resources and energy as well as increasing the productivity of the terminals. This study provides ‘the K-Means Clustering based Optimized Decision Model for Transfer Crane Operation', referring to ‘RFID & RTLS based Port Logistics Initiative’ of Ministry of Land, Transportation and Maritime Affairs and estimates the efficiency through simulating. 최근 컨테이너터미널 간의 경쟁이 심화되면서 생산성 측면뿐 만 아니라 비용경제성 측면에도 관심이 부각되고 있다. 특히, 에너지 소모량 및 장비투입 규모가 큰 트랜스퍼 크레인 부문에 대한 비효율적인 작업요소가 컨테이너터미널 경쟁력 제고에 있어서 걸림돌이 되고 있으며 이에 대한 개선은 인적, 물적 운영비용의 절감과 함께 생산성의 향상에도 긍정적인 영향을 미칠 것으로 기대된다. 따라서 본 연구에서는 현재 국토해양부 주관으로 진행 중인 ‘RFID를 활용한 RTLS 기반 항만물류효율화 사업’을 통하여 제공 가능한 컨테이너터미널 반ㆍ출입 대상 컨테이너의 시간적 가시성을 토대로 트랜스퍼 크레인의 배정 및 이동경로에 대한 클러스터링 기반 최적화모델을 제안하고 시뮬레이션 기법을 통하여 기대효과수준을 확인하였다.
高句麗 廣開土王代의 稗麗 征討와 後燕과의 冊封이 가진 의미
신정훈 중앙대학교 중앙사학연구소 2013 중앙사론 Vol.0 No.37
In 395 A.D., King Gwanggaeto of Goguryo conquered Paeryo in the area of Siramuren river. In that time, Later-Yan gone into war with Northern Wei. Northern Wei invaded territory of Later-Yan in march of 395 A.D. Northern Wei defeated utterly Later-Yan in Chamhabpa of Eastern Mongolia. In 385 A.D., Goguryo had a war with Later-Yan for taking Yodong.. After the war between Goguryo and Later-Yan, both countries became potential enemies for each other. Later-Yan had a battle with Northern Wei In 395 A.D. At that time, King Gwanggaeto conquered Paeryo without check of Later-Yan. Goguryo obtained flocks of sheep, horses and cattle. These material resources were used attack on Baekje. After conquest of Paeryo, King Gwanggaeto of Goguryo made a round of Yodong for hunting. In that time, Yodong was territory of Later-Yan. Later-Yan raise an large scale army against Northern Wei. In the face of these situations, the Goguryo forces could understand topograpies and planimetric feat1ures of Yodong area. Meanwhile, this theses takes note of relationship between Goguryo and Later-Yan. Goguryo employed a foreign policy in which it maintained the installation relationship with Later-Yan in 396 A.D.. At this time, Later-Yan was consistently attacked by Northern Wei. In this situation, if Goguryo had invaded in Later-Yan, Later-Yan had to raise the tomahawk with Goguryo and Northern Wei. On this reason, Later-Yan used installation relationship as a safety device. On one hand, Goguryo accepted installation relationship. Why did accept Goguryo installation relationship from Later-Yan? Because Goguryo was admitted the dominium in the region of Pyeongju, Yodong and Daebang by Later-Yan. Also, It had relevance to a relation with Baekje. Goguryo captured 58 castles and 700 country of Baekje in 396 A.D. In this situation, Goguryo could concentrated on attacking Baekje without unawaring of Later-Yan.
저 차원 Hankel 구조를 이용한 PMU 데이터 복구에 관한 연구
신정훈,남수철,Evangelous Farantatos,Meng Wang,성태응 대한전기학회 2020 전기학회논문지 Vol.69 No.11
Phasor Measurement Units (PMUs) provide synchronized phasor measurements at much higher sampling rate than that in the traditional Supervisory Control And Data Acquisition (SCADA) system. Several synchrophasor-based algorithms and techniques have been and continue to be developed for real-time operation applications such as state estimation, stability analysis, disturbance detection, dynamic security assessment etc. However, synchrophasor data quality limits the incorporation of synchrophasor-based applications into control room operations environment and processes. The goal of this project is to develop methods that can improve synchrophasor data quality by recovering missing data reliably and efficiently. Data recovery refers to methods that estimate the values of missing data in the synchrophasor streams. Recently, modeless missing data recovery methods have been developed, that exploit the low-rank property of the spatial-temporal synchrophasor data blocks. A spatial-temporal synchrophasor data block can be considered as a matrix that is constructed by the measurements sampled at consecutive time instants with each row denoting the measurement of one certain channel across time. By exploiting the low-rank property of synchrophasor data matrices, the missing data recovery can be formulated as a low-rank matrix completion problem. The low-rank matrix completion problem has been extensively studied in the past few years and several algorithms have been developed to recover a low-rank matrix from partial observations. In this study, synchrophasor data analysis has been combined with low-rank matrix completion theory to develop a missing synchrophasor data recovery technique and tool.