• 제목/요약/키워드: Network Performance Test

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에어포일 공력 성능 예측을 위한 딥러닝 기반 방법론 연구 (Deep learning-based Approach for Prediction of Airfoil Aerodynamic Performance)

  • 천성우;정호진;박민규;정인호;조해성;기영중
    • 항공우주시스템공학회지
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    • 제16권4호
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    • pp.17-27
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    • 2022
  • 본 논문에서는 에어포일의 좌표 데이터에 대해 공력 특성을 예측할 수 있는 합성곱 신경망 기반 네트워크 프레임 워크를 설계하였으며 Xfoil을 이용한 공력 데이터를 적용하여 네트워크의 가능성을 확인하였다. 이 때 에어포일의 두께 변화에 따른 공력 특성 예측을 수행하였다. 부호화 거리 함수를 이용하여 에어포일의 좌표 데이터를 이미지 데이터로 변환하였으며 받음각 정보를 반영하였다. 또한 에어포일의 압력 계수 분포를 축소 모델 기법 중 하나인 적합 직교 분해를 이용하여 축소된 데이터로 표현하였으며 이를 네트워크의 출력 데이터로 사용하였다. 제시하는 네트워크의 내삽과 외삽 성능을 평가하기 위하여 시험 데이터를 구성하였고, 결과적으로 내삽 데이터에 대한 예측 성능이 외삽에 비해 우수함을 확인하였다.

Network traffic prediction model based on linear and nonlinear model combination

  • Lian Lian
    • ETRI Journal
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    • 제46권3호
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    • pp.461-472
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    • 2024
  • We propose a network traffic prediction model based on linear and nonlinear model combination. Network traffic is modeled by an autoregressive moving average model, and the error between the measured and predicted network traffic values is obtained. Then, an echo state network is used to fit the prediction error with nonlinear components. In addition, an improved slime mold algorithm is proposed for reservoir parameter optimization of the echo state network, further improving the regression performance. The predictions of the linear (autoregressive moving average) and nonlinear (echo state network) models are added to obtain the final prediction. Compared with other prediction models, test results on two network traffic datasets from mobile and fixed networks show that the proposed prediction model has a smaller error and difference measures. In addition, the coefficient of determination and index of agreement is close to 1, indicating a better data fitting performance. Although the proposed prediction model has a slight increase in time complexity for training and prediction compared with some models, it shows practical applicability.

한국형 전술데이터링크(Link-K)의 무선통신 시험환경 구성 및 다중접속 프로토콜 성능분석 (The Implementation of Wireless Communication Test Environment for the Link-K System and Performance Analysis of Multiple Access Protocols)

  • 권구형
    • 한국군사과학기술학회지
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    • 제12권2호
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    • pp.170-174
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    • 2009
  • This paper describes the wireless communication test environment for the Link-K system and shows the performance analysis of multiple access protocols. The test environment consists of data generator, modem, radio sets, attenuators, and antennas. In case of both CSMA and Roll-Call protocols, throughput performance and delay are measured. And test results are analyzed. The test results would be used for communication performance analysis and network design of Link-K system.

양자암호기반의 통신망 구축 및 성능시험 검증연구 (A study on Performance Evaluation for Network Architecture using Quantum Key Distribution Technology)

  • 이원혁;석우진;박찬진;권우창;손일권;김승해;박병연
    • KNOM Review
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    • 제22권2호
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    • pp.39-47
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    • 2019
  • 과학기술연구망(KREONET)에서는 기상기후 정보, 고에너지물리, 천문연구, 위성정보데이터, 유전체 연구데이터 등의 빅데이터 중심 첨단 연구 활동을 지원을 수행하고 있다. 기존의 네트워크 보안장비들이 있는 환경에서는 성능 저하가 발생하기 때문에, 고성능 연구전용 네트워크 상에서 성능저하를 방지하고, 고속 연구협업을 위한 방안들이 연구되고 있다. 또한 최근 이슈가 되는 양자컴퓨터의 등장으로 기존 암호체계를 활용한 보안성에 위협이 되고 있다. 본 논문에서는 단대단(End-to-End)의 고속 연구전용 네트워크상에서 양자암호기반의 통신망 구축을 통하여 물리적 보안성을 강화시키는 환경구축과 고성능 전송테스트를 통하여 양자암호기반 통신망을 구성한다. 물리적 암호화 수행시에 망 성능에 미치는 영향을 분석하여, 고성능 연구협업 네트워크 구축을 위한 기초 자료로 활용하고자 한다.

공급망의 사회적 자본 특성이 친환경 공급망관리 프로젝트 성과에 미치는 영향 (The Effects of Supply Network's Social Capitals on Sustainable Supply Network Management Project and Its Performance)

  • 김효진;오재영;허대식
    • 산업경영시스템학회지
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    • 제45권3호
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    • pp.214-227
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    • 2022
  • The successful implementation of green supply chain management(GSCM) practices requires a level of cooperation that can be difficult to conduct. Despite this challenge, limited scholarly attention has been paid to exploring how the implementation of GSCM practices can be effectively facilitated and enhanced through accumulated social capital with suppliers. Based on social capital theory, this study postulates that supplier network characteristics derived from social capital with key suppliers can be critical antecedents of GSCM, which in turn enhances the firm's environmental performance. To test hypotheses, data were collected from 330 firms in 15 countries, and structural equation modeling was employed. Results show that GSCM improves environmental performance, and structural and cognitive social capitals of the supplier network act as antecedents and lead to GSCM implementation.

A Nexus among Strategic Orientation, Social Network, Knowledge Sharing, Organizational Innovation, and MSMEs Performance

  • MUAFI, Muafi
    • The Journal of Asian Finance, Economics and Business
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    • 제7권6호
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    • pp.327-338
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    • 2020
  • This study wants to test the nexus among resource orientation, market orientation, social network, and knowledge sharing toward organizational innovation, and the nexus between organizational innovation and MSMEs performance. Questionnaires and interviews are conducted with some MSMEs actors in Central Java Province, Indonesia, in Klaten Regency and Pekalongan City. These two areas have creative MSMEs, especially Batik MSMEs that have been very large and known worldwide. The sampling technique is done purposively with certain criteria for the respondents. The data analysis technique is done using Partial Least Square. This study provides recommendations about strategic practice and policy (resource and market), social network, and knowledge sharing in increasing organizational innovation, and the impact of organizational innovation toward MSMEs performance. It also offers a comprehensive model of the determinant factor of organizational innovation by considering the aspect of strategic orientation, social network, and knowledge sharing. Other unique aspects that are also important to consider are social network and the importance of knowledge sharing in improving MSMEs Performance. The respondents are still limited in two areas, namely, Pekalongan and Klaten, so it still cannot represent the whole population. These areas also have different orientation of production process approach, namely, synthetic and natural dyes.

SPAX 병렬 컴퓨터에서의 온라인 무간섭 네트워크 성능 감시기 (An on-line non-invasive network monitor for the SPAX parallel computer)

  • 이승구
    • 전자공학회논문지C
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    • 제34C권6호
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    • pp.44-50
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    • 1997
  • This paper describes the design and test of an on-line non-invasive network performance monitor (hardware portion) for the SPAX parallel computer. The SPAX parallel computer supports up to 256 intel P6 processors with 4 P6 processors constituting a processign node. The nodes are interconnected with a dual two-level crossbar network calle dXcent-net. Since the performance of the SPAX parallel computer is highly dependent on the proper and efficient operation of the network, an on-line non-invasive network performance monitor (with hardware components) has been developed to aid in the monitoring and tunign of the Xcent-net. Successful testing of a prototype node monitor board and PC interface system shows that our monitor design provides a low-cost practical solution to this problem.

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직무 네트워크 모형을 이용한 원자력발전소 제어실 운전원들의 수행도분석 (Performance analysis of operators in a nuclear power plant control room using a task network model)

  • 서상문;천세우;이용희
    • 대한인간공학회:학술대회논문집
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    • 대한인간공학회 1993년도 추계학술대회논문집
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    • pp.21-30
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    • 1993
  • This paper describes the development of a simulation model of nuclear power plant operators including cognitive aspects by using a network modeling soft ware, Micro-SAINT (System Analysis of Integrated Networks of Tasks) for the analysis of operator performance. Network model description based on Micro-SAINT includes tasks, resources, precedence relations among tasks, flow of information and PSFs (Performance Shaping Factors) on task performance. We have tried to evaluate the performance with several performance measures such as the number of tasks allocated, relative time presure among operators within a shift, for the selected test accident scenarior; small-break LOCA (Loss of Coolant Accident) in a PWR (Pressurized Water Reactor) type nuclear power plant.

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퍼지와 인공 신경망을 이용한 침입탐지시스템의 탐지 성능 비교 연구 (Comparison of Detection Performance of Intrusion Detection System Using Fuzzy and Artificial Neural Network)

  • 양은목;이학재;서창호
    • 디지털융복합연구
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    • 제15권6호
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    • pp.391-398
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    • 2017
  • 본 논문에서는 "퍼지 컨트롤 언어를 이용한 공격 특징 선택기반 네트워크 침입탐지 시스템"[1]과 "RNN을 이용한 공격 분류를 위한 지능형 침입탐지 시스템 모델"[2]의 성능을 비교 하였다. 이 논문에서는 KDD CUP 99 데이터 셋[3]을 이용하여 두 기법의 침입 탐지 성능을 비교하였다. KDD CUP 99 데이터 셋에는 훈련을 위한 데이터 셋과 훈련을 통해 기존의 침입을 탐지 할 수 있는 테스트 데이터 셋이 있다. 또한 훈련 데이터 및 테스트 데이터에 존재 하지 않는 침입의 유형을 탐지할 수 있는가를 테스트 할 수 있는 데이터도 존재한다. 훈련 및 테스트 데이터에서 좋은 침입탐지 성능을 보이는 두 개의 논문을 비교하였다. 비교한 결과 존재하는 침입을 탐지 하는 성능은 우수하지만 기존에 존재하지 않는 침입을 탐지 하는 성능은 부족한 부분이 있다. 공격 유형 중 DoS, Probe, R2L는 퍼지를 이용하는 것이 탐지율이 높았고, U2L은 RNN을 이용하는 것이 탐지율이 높았다.

A Study on the Performance Enhancements of Video Streaming Service in MPLS Network

  • Kwak Kyoung Hwan;Park In Kap;Kim Chung Hyun
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.549-551
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    • 2004
  • This paper used OPNET to simulate video streaming service a test IP network and MPLS network with the traffic shaping that have with CQ_ LLQ algorithm, LSP of fixed bandwidth, policy of limitation users and measures parameters such as delay, throughput, packet loss. To verify the performance of video streaming service in IP network and MPLS network, two scenario that have same topology and traffic source. One is the simulation for best-effort service in pure IP network. The other is the simulation for QoS-enabled service in MPLS Network. Based on simulation result, the MPLS network with CQ_ LLQ algorithm and fixed LSP show advantage of the video streaming service QoS, specially delay and packet loss

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