• 제목/요약/키워드: large-scale

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고차원 대용량 자료의 시각화에 대한 고찰 (A study on high dimensional large-scale data visualization)

  • 이은경;황나영;이윤동
    • 응용통계연구
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    • 제29권6호
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    • pp.1061-1075
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    • 2016
  • 본 논문에서는 고차원 대용량 자료의 시각화에서 발생할 수 있는 문제점들을 살펴보고 이에 대하여 개발된 방법들에 대하여 논의하였다. 고차원 자료의 경우 2차원 공간상에 표현하기 위하여 중요 변수를 선택해야하며 다양한 시각적 표현 속성과 다면화 방법을 이용하여 좀 더 많은 변수들을 표현할 수 있었다. 또한 관심있는 뷰를 보이는 낮은 차원을 찾는 사영추정방법을 이용할 수 있다. 대용량 자료에서는 점들이 겹쳐지는 문제점을 흩트림과 알파 블렌딩 등을 이용하여 해결할 수 있었다. 또한 고차원 대용량 자료의 탐색을 위하여 개발된 R 패키지인 tabplot과 scagnostics, 그리고 대화형 웹 그래프를 위한 다양한 형태의 R 패키지들을 살펴보았다.

Remote Monitoring with Hierarchical Network Architectures for Large-Scale Wind Power Farms

  • Ahmed, Mohamed A.;Song, Minho;Pan, Jae-Kyung;Kim, Young-Chon
    • Journal of Electrical Engineering and Technology
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    • 제10권3호
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    • pp.1319-1327
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    • 2015
  • As wind power farm (WPF) installations continue to grow, monitoring and controlling large-scale WPFs presents new challenges. In this paper, a hierarchical network architecture is proposed in order to provide remote monitoring and control of large-scale WPFs. The network architecture consists of three levels, including the WPF comprised of wind turbines and meteorological towers, local control center (LCC) responsible for remote monitoring and control of wind turbines, and a central control center (CCC) that offers data collection and aggregation of many WPFs. Different scenarios are considered in order to evaluate the performance of the WPF communications network with its hierarchical architecture. The communications network within the WPF is regarded as the local area network (LAN) while the communication among the LCCs and the CCC happens through a wide area network (WAN). We develop a communications network model based on an OPNET modeler, and the network performance is evaluated with respect to the link bandwidth and the end-to-end delay measured for various applications. As a result, this work contributes to the design of communications networks for large-scale WPFs.

Prediction of Sales on Some Large-Scale Retailing Types in South Korea

  • Jeong, Dong-Bin
    • Asian Journal of Business Environment
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    • 제7권4호
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    • pp.35-41
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    • 2017
  • Purpose - This paper aims to examine several time series models to predict sales of department stores and discount store markets in South Korea, while other previous trial has performed sales of convenience stores and supermarkets. In addition, optimal predicted values on the underlying model can be got and be applied to distribution industry. Research design, data, and methodology - Two retailing types, under investigation, are homogeneous and comparable in size based on 86 realizations sampled from January 2010 to February in 2017. To accomplish the purpose of this research, both ARIMA model and exponential smoothing methods are, simultaneously, utilized. Furthermore, model-fit measures may be exploited as important tools of the optimal model-building. Results - By applying Holt-Winters' additive seasonality method to sales of two large-scale retailing types, persisting increasing trend and fluctuation around the constant level with seasonal pattern, respectively, will be predicted from May in 2017 to February in 2018. Conclusions - Considering 2017-2018 forecasts for sales of two large-scale retailing types, it is important to predict future sales magnitude and to produce the useful information for reforming financial conditions and related policies, so that the impacts of any marketing or management scheme can be compared against the do-nothing scenario.

Policy for planned placement of sensor nodes in large scale wireless sensor network

  • Sharma, Vikrant;Patel, R.B;Bhadauria, HS;Prasad, D
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권7호
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    • pp.3213-3230
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    • 2016
  • Sensor node (SN) is a crucial part in any remote monitoring system. It is a device designed to monitor the particular changes taking place in its environs. Wireless sensor network (WSN) is a system formed by the set of wirelessly connected SNs placed at different geographical locations within a target region. Precise placement of SNs is appreciated, as it affects the efficiency and effectiveness of any WSN. The manual placement of SNs is only feasible for small scale regions. The task of SN placement becomes tedious, when the size of a target region is extremely large and manually unreachable. In this research article, an automated mechanism for fast and precise deployment of SNs in a large scale target region has been proposed. It uses an assembly of rotating cannons to launch the SNs from a moving carrier helicopter. The entire system is synchronized such that the launched SNs accurately land on the pre-computed desired locations (DLs). Simulation results show that the proposed model offers a simple, time efficient and effective technique to place SNs in a large scale target region.

A Hybrid Mechanism of Particle Swarm Optimization and Differential Evolution Algorithms based on Spark

  • Fan, Debin;Lee, Jaewan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권12호
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    • pp.5972-5989
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    • 2019
  • With the onset of the big data age, data is growing exponentially, and the issue of how to optimize large-scale data processing is especially significant. Large-scale global optimization (LSGO) is a research topic with great interest in academia and industry. Spark is a popular cloud computing framework that can cluster large-scale data, and it can effectively support the functions of iterative calculation through resilient distributed datasets (RDD). In this paper, we propose a hybrid mechanism of particle swarm optimization (PSO) and differential evolution (DE) algorithms based on Spark (SparkPSODE). The SparkPSODE algorithm is a parallel algorithm, in which the RDD and island models are employed. The island model is used to divide the global population into several subpopulations, which are applied to reduce the computational time by corresponding to RDD's partitions. To preserve population diversity and avoid premature convergence, the evolutionary strategy of DE is integrated into SparkPSODE. Finally, SparkPSODE is conducted on a set of benchmark problems on LSGO and show that, in comparison with several algorithms, the proposed SparkPSODE algorithm obtains better optimization performance through experimental results.

대용량 PV 어레이의 최적설계에 관한 연구 (A Study on the Optimal Design of Large-scale Photovoltaic Array)

  • 황인호;김의환;안교상
    • 한국태양에너지학회 논문집
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    • 제31권1호
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    • pp.8-14
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    • 2011
  • Recently, a number of large-scale photovoltaic(PV) power generation system has been installed all over the world. Thus, in order to improve the system efficiency, the optimal design of the large-scale PV systems has become an important issue. DC cable loss of PV array is one of the design factors related to the system efficiency. This paper introduces the array design method of a 500kW Photovoltaic power plant. Three types of the PV array are suggested. Also, string cables, sub-array cables and array cables are designed within 1% of voltage drop in the line, and the DC cable losses are analyzed. The results of this paper show that the DC cable loss of large-scale PV array can be reduced by adopting a proper sub-array design method.

대용량 연료전지시스템의 계통외란 방지알고리즘에 관한 연구 (A Study on the Countermeasure Algorithm for Power System Disturbances in Large Scale Fuel Cell Generation System)

  • 최성식;김병기;박재범;노대석
    • 전기학회논문지
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    • 제65권5호
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    • pp.711-717
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    • 2016
  • Recently, fuel cell generation system with high energy efficiency and low CO2 emission is energetically interconnected with distribution power system. Especially, MCFC(molten carbonate fuel cell) operating at high temperature conditions is commercialized and installed as a form of large scale power generation system. However, it is reported that power system disturbances such as harmonic distortion, surge phenomenon, unbalance current, EMI(Electromagnetic Interference), EMC (Electromagnetic Compatibility) and so on, have caused several problems including malfunction of protection device and damage of control devices in the large scale FCGS(Fuel Cell Generation System). Under these circumstances, this paper proposes countermeasure algorithms to prevent power system disturbances based on the modelling of PSCAD/EMTDC and P-SIM software. From the simulation results, it is confirmed that proposed algorithms are useful method for the stable operation of a large scale FCGS.

망축소작도법에 의한 대형회로망 전류원 처리 (Current Source Disposition of Large-scale Network with Loop-reduction Drawing Technique)

  • 황재호
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권5호
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    • pp.278-286
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    • 2000
  • A new large-scale network geometric analysis is introduced. For a large-scale circuit, it must be analyzed with a geometric diagram and figure. So many equations are induced from a geometric loop-node diagram. The results are arranged into a simple matrix, of course. In case of constructing a network diagram, it is not easy to handle voltage and current sources together. Geometric loop analysis is related to voltage sources, and node analysis is to current sources. The reciprocal transfer is possible only to have series or parallel impedance. If not having this impedance, in order to obtain equivalent circuit, many equations must be derived. In this paper a loop-reduction method is proposed. With this method current source branch is included into the other branch, and disappears in circuit diagram. So the number of independent circuit equations are reduced as much as that of current sources. The number is not (b-n+1), but (b-n+1-p). Where p is the number of current sources. The reduction procedure is verified with a geometric principle and circuit theory. A resultant matrix can be constructed directly from this diagram structure, not deriving circuit equations. We will obtain the last results with the help of a computer.

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PDA 클러스터 컴퓨팅을 활용한 대용량 모바일 소프트웨어 실행 (Running Large-scale Mobile Software using PDA Cluster Computing)

  • 민혜린;이종우
    • 디지털콘텐츠학회 논문지
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    • 제10권2호
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    • pp.249-258
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    • 2009
  • 최근 무선 인터넷 시장의 발전으로 모바일 단말기를 이용한 응용 개발이 늘어나고 있다. PDA 같은 모바일 장치는 유비쿼터스 컴퓨팅이라는 장점으로 인해 컴퓨팅을 요구하는 다양한 환경에서 필수적인 요소로 자리 잡고 있다. 본 논문의 목적은 PDA 클러스터 시스템을 이용해 PDA 단독으로는 실행시킬 수 없었던 대용량 소프트웨어를 PDA 상에서 실행시키는 것이다. 구체적인 구현 방법으로는 기존 워크스테이션 클러스터 컴퓨팅 엔진 JPVM을 PDA로 이식한 버전인 PDA-JPVM을 이용하였다. PDA 클러스터 상에서 병렬 응용 프로그램들을 실행시킨 결과, 이식된 PDA 클러스터 시스템을 이용해 대규모 소프트웨어를 PDA 상에서 실행시킬 수 있음을 확인하였으며, 아울러 그 성능 평가 결과도 보인다.

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Continuous size optimization of large-scale dome structures with dynamic constraints

  • Dede, Tayfun;Grzywinski, Maksym;Selejdak, Jacek
    • Structural Engineering and Mechanics
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    • 제73권4호
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    • pp.397-405
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    • 2020
  • In this study size optimization of large-scale dome structures with dynamic constraints is presented. In the optimal design of these structure, the Jaya algorithm is used to find minimal size of design variables. The design variables are the cross-sectional areas of the steel truss bar elements. To take into account the constraints which are the first five natural frequencies of the structures, the finite element analysis is coded in Matlab programs using eigen values of the stiffness matrix of the dome structures. The Jaya algorithm and the finite elements codes are combined by the help of the Matlab - GUI (Graphical User Interface) programming to carry out the optimization process for the dome structures. To show the efficiency and the advances of the Jaya algorithm, 1180 bar dome structure and the 1410 bar dome structure were tested by taking into the frequency constraints. The optimal results obtained by the proposed algorithm are compared with those given in the literature to demonstrate the performance of the Jaya algorithm. At the end of the study, it is concluded that the proposed algorithm can be effectively used in the optimal design of large-scale dome structures.