• 정보처리학회논문지A
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• 제11A권3호
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• pp.207-212
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• 2004

본 논문은 단일 주문형 비디오 환경에서의 서버/클라이언트 미디어 서비스 모델을 분석하고 이를 병렬 주문형 비디오 환경에 적용함으로써 보다 나른 사용자 QoS(Quality of Service)를 제공하고자 한다. 미디어 서비스 모델로는 클라이언트가 데이터를 요청하고 서버가 전달해주는 Client Pull 모델과 서버 측에서 일방적으로 데이터를 전달해 주는 Server Push 모델 그리고 두 모델을 통합한 IPP(Interleaving Pull & Push) 서비스 모델로 크게 나뉜다. 병렬 주문형 비디오 환경을 위해 병렬형 미디어 스트리밍 서비스, 즉 단일 클라이언트를 위해 다수의 서버들이 동시에 서버에 참여하는 PMSS(Parallel Media Streaming Service) 시스템을 구축하였으며, 단일/병렬 주문형 비디오 환경에서 네트워크상 전달지연과 클라이언트 버퍼 내 데이터 잔여량 인자를 통하여 각 서비스 모델간 성능을 비교 분석하였다. 실험을 통해 병렬 주문형 비디오 환경에서 IPP 서비스 모델이 가장 적은 전달지연과 안정적인 클라이언트 버퍼를 유지함을 알 수 있었다. 이를 통해 사용자에게 보다 나은 서비스를 제공할 수 있음을 확인하였다

• International Journal of Contents
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• 제1권1호
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• pp.50-58
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• 2005

Generally, multidimensional data such as image and spatial data require large amount of storage space. There is a limit to store and manage those large amounts of data in single workstation. If we manage the data on parallel computing environment which is being actively researched these days, we can get highly improved performance. In this paper, we propose a parallel multidimensional index structure that exploits the parallelism of the parallel computing environment. The proposed index structure is nP(processor)-nxmD(disk) architecture which is the hybrid type of nP-nD and 1P-nD. Its node structure in-creases fan-out and reduces the height of an index. Also, a range search algorithm that maximizes I/O parallelism is devised, and it is applied to k-nearest neighbor queries. Through various experiments, it is shown that the proposed method outperforms other parallel index structures.

• 전자공학회논문지CI
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• 제41권6호
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• pp.23-37
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• 2004

자바의 쓰레드는 다중 처리 환경에서 하나의 프로그램 공간 내의 독립적인 프로세스로 취급되는 객체 요소이므로 병렬처리를 위한 독립적인 프로세스로 활용할 수 있다. 또한, 자바의 동기화 메커니즘과 쓰레드를 활용하면 병렬 처리를 수행하는 응용프로그램을 쉽게 작성할 수 있다. 이에 따라, 자바의 병렬 처리 지원 기능을 분산된 컴퓨팅 환경에 적용하기 위한 많은 연구 결과가 있다. 본 논문에서는 레거시 자바 프로그램에 포함된 쓰레드를 분산된 컴퓨팅 환경에서 병렬 수행 하도록 지원하는 시스템 환경을 제안한다. TORB(Transparent Object Request Broker)라고 명명된 본 시스템은 프로그래밍 투명성을 지원하므로 이미 작성된 레거시 자바 프로그램을 간단한 변환 과정을 거친 후 병렬 수행 하도록 지원한다. TORB는 본 연구팀에서 이미 발표한 분산 프로그래밍 도구의 기능을 확장한 것이며, 이는 지정된 기능을 지정된 컴퓨터에서 수행하도록 지원하는 전형적인 분산처리 기능만을 보유하고 있었다.

• 산업경영시스템학회지
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• 제32권2호
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• pp.85-93
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• 2009

GOMS model is a cognitive modeling method of human performance based on Goal, Operators, Methods, Selection rules. GOMS model was originally designed for desktop environment so that it is difficult for GOMS model to be implemented into the mobile environment. In addition, GOMS model would be inaccurate because the original GOMS model was based on serial processing, excluding one of most important human information processing characteristics, parallel processing. Therefore this study was designed to propose a modified GOMS model including mobile computing and parallel processing. In order to encompass mobile environment, an operator of 'look for' was divided into 'visual move to' and 'recognize' whereas 'point to' and 'click' were combined into 'tab.' The results showed that newly introduced operators were necessary to estimate more accurate mobile computing behaviors. In conclusion, modified-GOMS model could predict human performance more accurately than the original GOMS model in the mobile computing environment.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1992년도 제2회 정기총회 및 추계학술 발표회 발표논문 초록
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• pp.5-5
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• 1992

The DEVS(discrete event system specification) formalism describes a discrete event system in a hierarchical, modular form. DEVSIM++ is C++ based general purpose DEVS abstract simulator which can simulate systems to be modeled by the DEVS formalism in a sequential environment. We implement P-DEVSIM++ which is a parallel version of DEVSIM++. In P-DEVSIM++, the external and internal event of models can be processed in parallel. To process in parallel, we introduce a hierarchical distributed simulation technique and some optimistic distributed simulation techniques. But in our algorithm, the rollback of a model is localized itself in contrast to the Time Warp approach. To evaluate its performance, we simulate a single bus multiprocessor architecture system with an external common memory. Simulation result shows that significant speedup is made possible with our algorithm in a parallel environment.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권2호
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• pp.133-138
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• 2002

In this paper, we propose an integrated GUI environment of parallel fuzzy inference system fur pattern classification of remote sensing data. In this, as 4 fuzzy variables in condition part and 104 fuzzy rules are used, a real time and parallel approach is required. For frost fuzzy computation, we use the scan line conversion algorithm to convert lines of each fuzzy linguistic term to the closest integer pixels. We design 4 fuzzy processor unit to be operated in parallel by using FPGA. As a GUI environment, PCI transmission, image data pre-processing, integer pixel mapping and fuzzy membership tuning are considered. This system can be used in a pattern classification system requiring a rapid inference time in a real-time.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 학술대회 논문집 전문대학교육위원
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• pp.134-140
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• 2001

Parallel processing has the potential to be cost effectively used on computationally intense power system problems. But this technology is not still available is not only parallel computer but also parallel processing scheme. Testing these algorithms to ensure accuracy, and evaluation of their performance is also an issue. Although a significant amount of parallel algorithms of power system problem have been developed in last decade, actual testing on processor architectures lies in the beginning stages. This paper presents the parallel processing algorithm to supply the base being able to treat power flow by newton's method by the distributed memory type parallel computer. This method is to assign and to compute teared blocks of sparse matrix at each parallel processors. The testing to insure accuracy of developed method have been done on serial computer by trying to simulate a parallel environment.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 추계학술대회
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• pp.928-933
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• 2003

For simulation of three-dimensional turbulent flow with LES and DNS takes much time and expense with current available computing resources. It is nearly impossible to simulate turbulent flow with high Reynolds number. So, the emerging alternative is the Grid computing for needed computation power and working environment. In this study, the CFD code was parallelized to adapt it for the parallel computing under the Grid environment. In the first place, the Grid environment was built to connect the PC-Cluster facilities belong to the different institutions using communication network system. And CFD applications were calculated to check the performance of the parallel code developed for the Grid environment. Although it is a fundamental study, it brings about a important meaning as first step in research of the Grid.

• 한국자동차공학회논문집
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• 제2권1호
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• pp.106-115
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• 1994

A parallel integration approach is proposed for real-time simulation of controlled mechanical systems. The proposed approach, which employs the dual-rate integration method in a parallel computing environment, is developed to deal with stiffness and high frequency characteristics of the controlled mechanical systems effectively. Numerical experiments are performed to demonstrate the effectiveness of the approach in shared memory multiprocessors, Alliant FX/8 and Alliant FX/80.

• 전자공학회논문지A
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• 제31A권4호
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• pp.30-38
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• 1994

In this paper, we propose the parallel scrambling technique which is applicable in the multibit-interleaved multiplexing environment. For this, we introduce the concept of SSRG (simple shift register generator) and MSRG(modular shift register generator), and investigate their properties. We also introduce the concept of PSRG(parallel shift register generator) - parallel form of shift register generator, and consider realizations of PSRGs based on SSRGs and MSRGs. Finally, we show how to apply PSRGs to the parallel scrambling for the SDH system.