• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.27-50
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• 2020

Purpose The research on the effective use of IS needs to embrace the alignment to organization learning process, which expands the limited focus on dynamic capability of IS use. In addition, it should be done in multi-level analysis with system, user, task, and organization. The current study suggests the inclusion of multi-level analysis of effective use of IS in the perspective of exploration and exploitation. Design/methodology/approach This review selected the representative studies in IS discipline which have investigated the effective use of IS, dynamic capability, operational capability, exploration, exploitation, or organizational learning. In the search of academic archives with those keywords, seventeen papers which have been most cited were chosen and validated whether the focus constructs are directly theorized or validated the suggested keywords. In addition, the level of analysis was verified whether it includes one or more levels of system, individual, task, or organization. Based on the initial analysis of dynamic capability, the further review of research on explorational and exploitational capabilities was implemented. Findings The present review study on previous literature on effective use of IS presented that it is largely implemented in the level of individual but few of them has included organization level. Similarly, the direct investigation of explorational and exploitational use of IS has not been done so much. The needs of study on effective use of IS in depth have been inquired for a decade. However, the review presented that it still lacks profound theories and empirical validations compared to those of adoption stage of IS. Based on the review, future research on the transition between explorational and exploitational use of IS is suggested.

• Ocean Systems Engineering
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• 제10권4호
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• pp.359-371
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• 2020

The performance of a multi-level overtopping wave energy converter (OWEC) has been numerically and experimentally investigated in a two-dimensional wave tank in order to study the effects of opening width of additional reservoirs. The device is a fixed OWEC consisting of an inclined ramp together with several reservoirs at different levels. A particle-based numerical simulation utilizing the Lattice Boltzmann Method (LBM) is used to simulate the flow behavior around the OWEC. Additionally, an experimental model is also built and tested in a small wave flume in order to validate the numerical results. A comparison in energy captured performance between single-level and multi-level devices has been proposed using the hydraulic efficiency. The enhancement of power capture performance is accomplished by increasing an overtopping flow rate captured by the extra reservoirs. However, a noticeably large opening of the extra reservoirs can result in a reduction in the power efficiency. The overtopping flow behavior into the reservoirs is also presented and discussed. Moreover, the results of hydrodynamic performance are compared with a similar study, of which a similar tendency is achieved. Nevertheless, the LBM simulations consume less computational time in both pre-processing and calculating phases.

• 전자공학회논문지
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• 제52권1호
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• pp.17-23
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• 2015

본 논문에서는 FTN (Faster than Nyquist) 방식을 이용한 데이터 전송기법에서 효율적으로 ISI (Inter Symbol Interference)를 제거하기 위한 기법을 제안한다. FTN 방식을 이용한 통신 시스템은 나이퀴스트 (Nyquist) 율 보다 빠르게 신호를 전송하는 방식으로 필연적으로 ISI가 발생한다. FTN 시스템에서 ISI를 제거하기 위한 여러 방안들이 제안되었으며 대표적으로 BCJR (Bahl-Cocke-Jelinek-Raviv) 알고리듬 기반의 ISI 제거 기법을 들 수 있다. 그러나 제안된 기법들은 매우 큰 구현 복잡도를 갖으며, 특히 고차 변조 기법을 사용할 경우 복잡도는 변조 차수에 따라 지수적으로 증가하는 단점이 있다. 구현복잡도를 줄이기 위하여 길쌈부호가 적용된 시스템에서 SIC (Successive Interference Cancellation) 기법을 이용하여 ISI를 제거하는 기법이 제안되었다. 본 논문에서는 반복 복호가 가능한 채널 부호화 기법과 고차 변조가 적용된 시스템에서 복호기에서 생성된 정보를 이용하여 FTN 복조를 효율적으로 수행할 수 있는 기법을 제안한다. 제안하는 기법은 기존에 제안된 기법들에 비하여 낮은 구현 복잡도를 나타낼 뿐만 아니라 우수한 ISI 추정 성능으로 인하여 주어진 신호 대 잡음비 (Signalto-Noise Ratio) 영역에서 보다 나은 비트오율 (Bit Error Rate) 성능을 나타낸다. 또한 고차 변조 기법이 적용된 시스템에서도 큰 복잡도 증가 없이 적용이 가능하다.

• 한국군사과학기술학회지
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• 제20권5호
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• pp.673-680
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• 2017

In the proposed paper, we designed low noise frequency synthesizer with compact size for Multi-Band. The proposed frequency synthesizer consists of fundamental frequency band(2 GHz) and harmonic frequency band(4 GHz). To improve the phase noise and spurious level of frequency synthesizer, we analyze how the configuration of frequency synthesizer affect the phase noise and design the multi-band's structure. The implemented frequency synthesizer reduce both the phase noise and spurious level. The phase noise is -92.17 dBc/Hz at 1 kHz frequency offset in 2 GHz and -90.50 dBc/Hz at 1 kHz frequency offset in 4 GHz. All spurious signals including fundamental frequency are suppressed at least 20 dBc than the second harmonic frequency.

• 지능정보연구
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• 제10권3호
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• pp.91-103
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• 2004

다중 에이전트 시스템을 바탕으로 구축되는 시맨틱 웹 응용 프로그램은 에이전트 시스템이 제공하는 적절한 수준의 추상화에서 비롯되는 융통성을 유지하면서도 개발 및 운용의 효율성이 요구된다. 본 연구에서는 에이전트 수준의 추상화를 BDI 에이전트 구조를 기반으로 제공하면서 Java 기반 시스템의 효율성을 갖춘 새로운 에이전트 응용 프레임웍인 VivAce(Vivid Agent Computing Environment)를 소개하고 그 효율성을 대규모 에이전트 기반 시뮬레이션을 통하여 보인다. Vivid 에이전트는 소프트웨어에 의해 제어되는 시스템으로서 지식(knowledge), 지각(perception), 임무(task), 의도(intention)를 중심으로 상태(state)를 표현하며 활동(action)과 반응규칙(reaction rule)으로 행위(behavior)를 나타낸다. 본 논문에서는 먼저 에이전트 응용 프레임웍에 필요한 요소를 제시하고 이에 관련된 VivAce의 기능과 특징 및 이를 이용한 실험 결과를 제시한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.493-493
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• 2000

Multi-valued decision making for transitional stochastic events was newly derived based on conditional probability of database. The two values (on-off) decision making method without transition had been proposed by one of the author in a previous work for a purpose of realizing human on-off decision making. The current method is an extension of the previous on-off decision making. By combining the conditional probability and the transitional probability, the closed form of the algorithm for the multi-valued transitional decision making was derived. The proposed multi-valued decision making was successfully applied to the determination of the five levels of the vigilance of a subject during the EEG recording; awake stage, drowsy stage and sleeping stages (stage 1, stage 2/3, REM (rapid eye movement)). The method for determining the vigilance level can be directly usable for the two purposes; selection of awake EEG segments for automatic EEG interpretation, and determination of sleep stages through sleep EEG. The proposed multi-valued decision making with a mathematical background of the probability can be applicable widely, in industries and in medical fields for purposes of the multi-valued decision making.

• 산업경영시스템학회지
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• 제32권3호
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• pp.29-39
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• 2009

In an environment of global competition, the success of a manufacturing corporation is directly related to how it plans and executes production in particular as well as to the optimization level of its process in general. This paper proposes a production planning algorithm for the Multi-Level, multi-item Capacitated Lot Sizing Problem (MLCLSP) in supply chain network considering back-order. MLCLSP corresponds to a mixed integer programming (MIP) problem and is NP-hard. Therefore, this paper proposes an effective algorithm, GRHS (GRASP-based Rolling Horizon Search) that solves this problem within reasonable computational time and evaluates its performance under a variety of problem scenarios.

• Asia pacific journal of information systems
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• 제14권4호
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• pp.49-70
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• 2004

Multi-agent technology is being regarded as one of the promising technologies for today's supply chain management because of its desirable features such as autonomy, intelligence, and collaboration. This paper suggests a multi-agent system architecture with which companies can improve the efficiency of their supply chains by collaborative operation. Reflecting the practical difficulties of collaboration in complex supply chains, the architecture allows agent systems to share information with only neighboring companies for the coordinated operation. The suggested architecture is elaborated with a collaboration model based on Petri-net, conversation models for communication, and internal behavior models of each agent. A simulation experiment was performed for the evaluation of the suggested architecture. The result implies that when the estimation of market demand is higher than a certain level, the suggested architecture can be beneficial.

• 대한임베디드공학회논문지
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• 제8권1호
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• pp.17-24
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• 2013

In this paper, we present a multi-core processor including multimedia specific instructions to process multimedia data efficiently in the mobile environment. Multimedia specific instructions exploit subword level parallelism (SLP), while the multi-core processor exploits data level parallelism (DLP). These combined parallelisms improve the performance of multimedia processing applications. The proposed multi-core processor including multimedia specific instructions is implemented and tested using a Xilinx ISE 10.1 tool and SoCMaster3 testbed system including Vertex 4 FPGA. Experimental results using a fire detection algorithm show that multimedia specific instructions outperform baseline instructions in the same multi-core architecture in terms of performance (1.2x better), energy efficiency (1.37x better), and area efficiency (1.23x better).

• International Journal of Computer Science & Network Security
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• 제23권1호
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• pp.25-32
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• 2023

Decision-making refers to identifying the best alternative among a set of alternatives. When a set of criteria are involved, the decision-making is called multi-criteria decision-making (MCDM). In some cases, the involved criteria may be prioritized by the human decision-maker, which determines the importance degree for each criterion; hence, the decision-making becomes prioritized multi-criteria decision-making. The essence of prioritized MCDM is raking the different alternatives concerning the criteria and selecting best one(s) from the ranked list. This paper introduces a generic multi-level algorithm for ranking multiple alternatives in prioritized MCDM problems. The proposed algorithm is implemented by a decision support system for selecting the most critical short-road requests presented to the transportation ministry in the Kingdom of Saudi Arabia. The ranking results show that the proposed ranking algorithm achieves a good balance between the importance degrees determined by the human decision maker and the score value of the alternatives concerning the different criteria.