• Title/Summary/Keyword: Distributed resources

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Mineralogical and Geochemical Characteristics of the Gemstone-bearing Pegmatite of Mogok Metamorphic Belt, Myanmar (미얀마 모곡변성대 함보석 페그마타이트의 광물학적 및 지화학적 특징)

  • Heo, Chul-Ho;Oh, Il-Hwan;Cho, Seong-Jun
    • Korean Journal of Mineralogy and Petrology
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    • v.33 no.2
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    • pp.129-141
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    • 2020
  • The Mogok metamorphic belt is a highland area mainly consisting of Archean crystalline rocks, where many ruby mines were distributed in the past, and jewelry has been identified in its alluvium as placer deposit. Minerals that are usually identified with ruby include spinel, garnet, and rubellite. The conglomerates that form the alluvium in which jewelry is found mainly consist of gneiss and clastic pegmatites. In Singu, Mogok, and Momeik areas, a number of pegmatites containing jewelry are distributed in the intrusions of Mogok metamorphic rocks, diorites, and granites. In Singu pegmatites, rubellite, goshenite, and blue and violet apatite occur as gems. In Momeik pegmatites, mushroom-type rubellite, petalite, hambergite, pollucite, and aquamarine can be found. In Mogok pegmatites, topaz, aquamarine, goshenite, and herderite occur are present.

Optimization and Performance Analysis of Cloud Computing Platform for Distributed Processing of Big Data (대용량 데이터의 분산 처리를 위한 클라우드 컴퓨팅 환경 최적화 및 성능평가)

  • Hong, Seung-Tae;Shin, Young-Sung;Chang, Jae-Woo
    • Spatial Information Research
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    • v.19 no.4
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    • pp.55-71
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    • 2011
  • Recently, interest in cloud computing which provides IT resources as service form in IT field is increasing. As a result, much research has been done on the distributed data processing that store and manage a large amount of data in many servers. Meanwhile, in order to effectively utilize the spatial data which is rapidly increasing day by day with the growth of GIS technology, distributed processing of spatial data using cloud computing is essential. Therefore, in this paper, we review the representative distributed data processing techniques and we analyze the optimization requirements for performance improvement of the distributed processing techniques for a large amount of data. In addition, we uses the Hadoop and we evaluate the performance of the distributed data processing techniques for their optimization requirements.

The Design of Proxy Peer Algorithm based on DHT for Effective Resource Searching on JXTA Network Environments (JXTA 네트워크 환경에서 효율적인 자원 검색을 위한 DHT 기반프락시 피어 알고리즘 설계)

  • Lee, Gwang;Lee, Joon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.8
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    • pp.1486-1492
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    • 2007
  • Searching distributed resources efficiently is very important in distributed computing environments like P2P. But distributed resource searching may have system overheads and take a lot of time in proportion to the searching number, because distributed resource searching has to circuit many peers for searching information. In this paper, we design a proxy peer algorithm based on DHT(Distributed Hash Table) for efficient distributed resource searching in JXTA network environments. By containing the rendezvous information in proxy peer and searching a rendezvous peer firstly which has higher hit ratio, we can reduce the searching number and minimize system overheads.

An Internet-based computing framework for the simulation of multi-scale response of structural systems

  • Chen, Hung-Ming;Lin, Yu-Chih
    • Structural Engineering and Mechanics
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    • v.37 no.1
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    • pp.17-37
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    • 2011
  • This paper presents a new Internet-based computational framework for the realistic simulation of multi-scale response of structural systems. Two levels of parallel processing are involved in this frame work: multiple local distributed computing environments connected by the Internet to form a cluster-to-cluster distributed computing environment. To utilize such a computing environment for a realistic simulation, the simulation task of a structural system has been separated into a simulation of a simplified global model in association with several detailed component models using various scales. These related multi-scale simulation tasks are distributed amongst clusters and connected to form a multi-level hierarchy. The Internet is used to coordinate geographically distributed simulation tasks. This paper also presents the development of a software framework that can support the multi-level hierarchical simulation approach, in a cluster-to-cluster distributed computing environment. The architectural design of the program also allows the integration of several multi-scale models to be clients and servers under a single platform. Such integration can combine geographically distributed computing resources to produce realistic simulations of structural systems.

Optimal Sizing Method of Distributed Energy Resources for a Stand-alone Microgrid by using Reliability-based Genetic Algorithm (신뢰도 기반의 유전자알고리즘을 활용한 독립형 마이크로그리드 내 분산형전원 최적용량 산정 방법)

  • Baek, Ja-Hyun;Han, Soo-Kyung;Kim, Dae-Sik;Han, Dong-Hwa;Lee, Hansang;Cho, Soo-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.5
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    • pp.757-764
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    • 2017
  • As the reduction of greenhouse gases(GHGs) emission has become a global issue, the microgrid markets are growing rapidly. With the sudden changes in the market, Korean government suggested a new business model called 'Self-Sufficient Energy Islands'. Its main concern is a stand-alone microgrid composed of Distributed Energy Resources(DERs) such as Renewable Energy Sources(RESs), Energy Storage System(ESS) and Fuel Cell, in order to minimize the emission of GHGs. According to these trend, this paper is written to propose an optimal sizing method of DERs in a stand-alone microgrid by using Genetic Algorithm(GA), one of the representative stochastic methods. It is to minimize the net present cost with the variables, size of RESs and ESS. In the process for optimization, the sunless days are considered as additional constraints. Through the case study analysis, the size of DERs installed in a microgrid system has been computed using the proposed method in MATLAB. And the result of MATLAB is compared with that of HOMER(Hybrid Optimization of Multiple Energy Resources), a well-known energy modeling software.

Evaluation of the Applicability of a Distributed Model at the Downstream of Dam (댐 하류 지점에 대한 분포형 모형의 적용성 평가)

  • Choi, Yun-Seok;Kim, Kyung-Tak;Shim, Myung-Pil
    • Journal of Korea Water Resources Association
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    • v.42 no.9
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    • pp.703-713
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    • 2009
  • Dam has very important roles in both water use and flood control. Dam release and runoff from rainfall affect directly to the flood control at the downstream of dam during heavy storm especially. This study evaluates the applicability of a distributed model by applying the GRM (Grid based Rainfall-runoff Model) based on HyGIS (Hydro Geographic Information System) environment to runoff modeling at the downstream of dam where the discharge from dam and rainfall affect simultaneously. In order to do this, Yeoju watershed in Han River basin is selected. Rainfall data and discharge from Chungju regulation dam and Hoengseong dam are applied to runoff simulation. The modeling results are verified with Yeoju water level station, and they show good agreement with observed hydrographs. And this study shows that GRM is able to simulate appropriately the effect of dam discharge and rainfall on watershed runoff.

An Effective Backtracking Search Algorithm for the P2P Resources (효과적인 역 추적 P2P 자원 검색 알고리즘)

  • Kim, Boon-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.6
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    • pp.49-57
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    • 2007
  • The P2P distributed systems are proceeded various studies lively to use the idleness computing resources under the network connected computing environments. It's a general mean to communication from the peer of the shortest downloaded time among same target files to be searched. The P2P search algorithms are very important primary factor to decide a real downloaded time in the criteria to select the peer of a shortest downloaded time. However the peer to give resources could be changed into offline status because the P2P distributed systems have very weakness connection. In these cases. we have a choice to retransmit resources mainly. In this study, we suggested an effective backtracking search algorithm to improve the performance about the request to retransmit the resource.

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