• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.387-392
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• 2008

Next Generation High Speed Train having a distributed electrical motor system has just been developing to aim the experimental maximum speed at 400km/h since August, 2007. This project is in stage of concept design and so, it needs to take some review and analysis the characteristics of suspensions on the view of concept design. A train dynamic modeling is modified with the one car model presented in the previous conference and it was extended to 6cars models having the same suspensions and added some connection's characteristics between the cars with Vampire program. It is used to analyze the effect on the dynamic performances according to the variation of primary and secondary suspension characteristics in the condition of 6 cars configuration. The results would be useful to manage the potential risks in the next stage of basic and critical design that will be done by the manufacturing company.

• 전기학회논문지P
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• 제65권2호
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• pp.94-100
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• 2016

A virtual power plant (VPP) technology is a cluster of distributed generation installations. VPP system is that integrates several types of distributed generation sources, so as to give a reliable overall power supply. Virtual power plant systems play a key role in the smart grids concept and the move towards alternative sources of energy. They ensure improved integration of the renewable energy generation into the grids and the electricity market. VPPs not only deal with the supply side, but also help manage demand and ensure reliability of grid functions through demand response (DR) and other load shifting approaches in real time. In this paper, utilizing a variety of distributed generation resources(such as emergency generator, commercial generator, energy storage device), activation scheme of the virtual power plant technology. In addition, through the analysis of the domestic electricity market, it describes a scheme that can be a virtual power plant to participate in electricity market. It attempts to derive the policy support recommendation in order to obtain the basics to the prepared in position of power generation companies for the commercialization of virtual power plant.

• 대한산업공학회지
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• 제29권2호
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• pp.157-164
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• 2003

The amount of information increases rapidly when working in a distributed environment where multiple collaborative partners work together on a complex product. Today's PDM (product data management) systems provide good capabilities regarding the management of product data within a single company. However, taking into account the variety of systems used at partner sites in an engineering environment one can easily imagine problems regarding the interoperability and the data consistency. This paper presents a concept to improve the workflow management using the parameters network. It shows a parameter driven engineering workflow that is able to manage engineering task across company boarders. We introduce a mechanism of workflow management based on the engineering parameters and an architecture of the distributed workspace to apply it within a PDM system. For a parameter mapping between CAD and PDM system we developed an XML-based CATIA data interface module using CAA.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 추계학술대회 논문집 전력기술부문
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• pp.241-243
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• 2002

Recently, great efforts are concentrated on the autonomous, adaptive protection schemes with advanced artificial intelligence and digital technology. It is highly required for a next generation protective system not only to detect and to clear a fault, but also to fit itself to the changing environment. In this paper it is suggested an evaluation method for the protection ability of a protective system in a distributed system. The suggested method is of bottom-up scheme, in other words, protection ability is estimated from the lowest level of parameters in each protective devices to the highest level of the whole protective system. This feature makes it possible to evaluate the protection ability either for the protective device(or a system), or for a protected system. And, in addition, it is enabled that the protectability concept can be applied in the design stage of a protective system for a distribution network. The proposed method is applied to a simple distributed network to show its effectiveness.

• 한국과학교육학회지
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• 제5권1호
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• pp.11-17
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• 1985

This study had its objective to indentify the basic biological concepts as recommended by scholars in biology and by high school biology teachers for inclussion in the high school biology curriculum and to determine the importance levels of the concepts. The scholars for this study were selected to insure that their majors are evenly distributed across the biological areas. The final concept list contains 137 biological concepts along with their importance level judged by the scholars and high school biology teachers. The biological concepts are categorized into 12 biological areas. This study suggests that the concepts in the final list can not refect the conceptual hierarchy or inclusiveness, goals or objectives of biology education in the high school, and difficulty levels of the concepts. This study also claims that the concept list like the one produced by this study should be successively' checked and revised due to the continuous development of biological knowledge system and the constant change in the meanings of the knowledge system.

• 한국컴퓨터정보학회논문지
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• 제17권12호
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• pp.111-120
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• 2012

P2P 시스템은 시스템에 참여하는 노드들의 자원을 공유하는 분산 시스템으로 여기에 참여하는 노드들은 서버와 클라이언트의 역할을 모두 수행한다. 현재 분산 해쉬 테이블(Distributed Hash Table)을 기반으로 한 체계적이고 구조화된 P2P 시스템들인 Chord, Pastry, Tapestry 등이 제안되었으나 이 시스템들은 성능 효율이 log으로 제한되어 있다. 이러한 제한된 성능 효율을 개선하기 위해본 논문에서는그룹 단위의 라우팅 알고리즘을 제안한다. 제안하는 알고리즘은 node-to-group 라우팅 알고리즘으로 원형 주소 공간을 그룹으로 나누고 각 그룹을 대표하는 포인터(Pointer)라는 개념을 사용하여, 포인터를 기반으로 라우팅이 이루어지는 알고리즘이다. 알고리즘의 성능을 평가하기 위해 P2P 시스템의 대표적인 알고리즘인 chord와 라우팅을 위한 평균 홉 수, 라우팅 테이블 크기, 전송 지연에 관해 비교 분석 하였으며, 결과적으로 비교 항목에 대해 성능이 향상되었음을 실험을 통해 확인 하였다.

• 정보과학회 논문지
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• 제45권2호
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• pp.99-105
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• 2018

공간통계 분석중 하나인 핫스팟 분석은 "인접해 있는 것은 멀리 있는 것 보다 더 연관성이 있다"는 법칙에 따라 공간속성이나 사건의 공간 패턴을 쉽게 파악할 수 있는 기법 중 하나 이지만, 공간의 인접성이 고려되어야 하므로 분산 처리하기 용이하지 않다. 본 논문에서는 핫스팟 분석의 분산처리 방안을 기술하고 성능을 하둡 및 인메모리 기반인 Spark으로 평가한 결과 단일 시스템 대비 하둡기반 처리는 625.89%, Spark기반 처리는 870.14%의 성능향상을 확인하였으며, 하둡 기반과 Spark기반의 비교에서는 대용량 데이터 셋을 처리 할수록 Spark기반의 성능향상율이 높아짐을 확인하였다.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 하계학술발표대회 논문집
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• pp.3-9
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• 2008

Recently, the plant industries are being activated and plant control systems use various technologies. Because the optimized design for the plants is very important for the reducing of operation and maintenance costs, automatic control systems become more important. Plant control systems consist of the master controller, the plant networks, the programming environment for engineering, monitoring software and the field devices. The control systems should have reliability, availability and safety. Modular architecture of hardware and software makes flexible configuration of the control systems. Each component should have diagnostic functions. It follows industrial standards and makes open systems. Open systems increase accessibility against the data which is distributed in the plants. The controllers including processor and communication modules use the up-to-date technology. They have real time and fault tolerant function by duplicating processors or networks. It also enables to make the distributed control systems. The distributed architecture makes more scalable main control system. Automatic control systems can be operated with better performance. In this paper, we analyzed the requirements of the seawater desalination plants and made some consideration facts for developing the optimized controller. Also we described the design concept of the main controller, which consists of several modules. We should validate and complement the design for the reliability and better performance.

• Smart Structures and Systems
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• 제15권1호
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• pp.191-207
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• 2015

Proper placement of sensors plays a key role in construction and implementation of an effective structural health monitoring (SHM) system. This paper proposes a novel methodology called the distributed monkey algorithm (DMA) for the optimum design of SHM system sensor arrays. Different from the existing algorithms, the dual-structure coding method is adopted for the representation of design variables and the single large population is partitioned into subsets and each subpopulation searches the space in different directions separately, leading to quicker convergence and higher searching capability. After the personal areas of all subpopulations have been finished, the initial optimal solutions in every subpopulation are extracted and reordered into a new subpopulation, and the harmony search algorithm (HSA) is incorporated to find the final optimal solution. A computational case of a high-rise building has been implemented to demonstrate the effectiveness of the proposed method. Investigations have clearly suggested that the proposed DMA is simple in concept, few in parameters, easy in implementation, and could generate sensor configurations superior to other conventional algorithms both in terms of generating optimal solutions as well as faster convergence.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5234-5251
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• 2018

It is well-known that virtualization technology can bring many benefits not only to users but also to service providers. From the view of system security and resource utility, higher resource sharing degree and higher system reliability can be obtained by the introduction of virtualization technology in distributed cloud. The small size time-sharing multiplexing technology which is based on virtual machine in distributed cloud platform can enhance the resource utilization effectively by server consolidation. In this paper, the concept of memory block and user satisfaction is redefined combined with user requirements. According to the unbalanced memory resource states and user preference requirements in multi-virtual machine environments, a model of proper memory resource allocation is proposed combined with memory block and user satisfaction, and at the same time a memory optimization allocation algorithm is proposed which is based on virtual memory block, makespan and user satisfaction under the premise of an orderly physical nodes states also. In the algorithm, a memory optimal problem can be transformed into a resource workload balance problem. All the virtual machine tasks are simulated in Cloudsim platform. And the experimental results show that the problem of virtual machine memory resource allocation can be solved flexibly and efficiently.