• Title/Summary/Keyword: Network Performance

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Improving Performance of YOLO Network Using Multi-layer Overlapped Windows for Detecting Correct Position of Small Dense Objects

  • Yu, Jae-Hyoung;Han, Youngjoon;Hahn, Hernsoo
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.19-27
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    • 2019
  • This paper proposes a new method using multi-layer overlapped windows to improve the performance of YOLO network which is vulnerable to detect small dense objects. In particular, the proposed method uses the YOLO Network based on the multi-layer overlapped windows to track small dense vehicles that approach from long distances. The method improves the detection performance for location and size of small vehicles. It allows crossing area of two multi-layer overlapped windows to track moving vehicles from a long distance to a short distance. And the YOLO network is optimized so that GPU computation time due to multi-layer overlapped windows should be reduced. The superiority of the proposed algorithm has been proved through various experiments using captured images from road surveillance cameras.

A Study on the Classification of Surface Defect Based on Deep Convolution Network and Transfer-learning (신경망과 전이학습 기반 표면 결함 분류에 관한 연구)

  • Kim, Sung Joo;Kim, Gyung Bum
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.64-69
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    • 2021
  • In this paper, a method for improving the defect classification performance in low contrast, ununiformity and featureless steel plate surfaces has been studied based on deep convolution neural network and transfer-learning neural network. The steel plate surface images have low contrast, ununiformity, and featureless, so that the contrast between defect and defect-free regions are not discriminated. These characteristics make it difficult to extract the feature of the surface defect image. A classifier based on a deep convolution neural network is constructed to extract features automatically for effective classification of images with these characteristics. As results of the experiment, AlexNet-based transfer-learning classifier showed excellent classification performance of 99.43% with less than 160 seconds of training time. The proposed classification system showed excellent classification performance for low contrast, ununiformity, and featureless surface images.

Improved PF_RING for High Performance Packet Capture (개선된 PF_RING을 이용한 고성능 패킷 캡쳐)

  • Chao Yi Duan;Yong Soo Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.1012-1015
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    • 2008
  • The packet capturing becomes a bottleneck in the network intrusion detection and monitoring system as the network performance developing. Many approaches, zero copy, interrupt coalescing and NAPI which attempt to improve packet capturing performance of Linux, are inefficient. PF_RING is a new type of network socket that dramatically improves the packet capture speed, but not perfect. This paper proposes some solutions which can improve the memory utilization and save some data copy time based on the commodity network adapters rather than on the commercial network adapters.

A mediation model among the political skills, social network and entrepreneurial performance of SEMs entrepreneurs (중소·벤처기업가의 정치적 기술, 사회적 네트워크 그리고 기업가적 성과 간의 매개모형)

  • Chung, Dae-Yong;Kim, Choon-Kwang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.8
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    • pp.3421-3429
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    • 2011
  • This is an exploratory study intended to clarify any mutually influential relationship among the political skills, social network and entrepreneurial performance of SMEs entrepreneurs who are known to have the most important influence upon the business performance. The results of this study show that as entrepreneur's social competence, political skills have significant influence on both social network and entrepreneurial performance, and that only some sub-factors of social network have significant influence on entrepreneurial performance. Especially, it was found that the source of weak ties mediates completely political skills and entrepreneurial performance. The above-mentioned results are meaningful in the light of considering any relationship between the capabilities and performance of SMEs entrepreneurs who have critical influence upon performance creation, and also clarifying concretely the bridging role of entrepreneur's social network between his/her social competence, or political skills and entrepreneurial performance. In addition, it is considered that this study has made a theoretical contribution in the light of introducing a concrete and new antecedent variable of political skills and establishing the role of social network, as well as a practical contribution in the light of presenting the real-world information on development of entrepreneur's competence which corresponds to a preparatory stage for performance creation.

Precise position control of hydraulic driven stenciling robot using neural network (신경회로망을 이용한 유압 스텐슬링 로봇의 정확한 위치 제어)

  • Jung, Seul
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.779-782
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    • 1997
  • In this paper, accurate position control of a stenciling robot manipulator is designed. The stenciling robot is requried to draw lines and characters on the pavement. Since the robot is huge and heavy, the inertia is expected to play a major role in the tracking performance as desired. Here we are proposing neural network control scheme for a computed-torque like controller for the stenciling robot. On-line compensation is achieved by neural network. Simulation studies with stenciling robot are carried out to test the performance of the proposed control scheme.

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Advanced LER to Improve Performance of IP over MPLS (IP기반 MPLS망의 성능향상을 위한 Advanced LER)

  • 박성진;김진무;이병호
    • Proceedings of the IEEK Conference
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    • 2000.11a
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    • pp.37-40
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    • 2000
  • Multi Protocol Label Switching (MPLS) is a high performance method for forwarding packets (frames) through a network. It enables routers at the edge of a network to apply simple labels to packets (frames). we use MPLS in the core network for internet. MPLS provide high speed switching and traffic engineering in MPLS domain but at the Label Edge Router(LER) there is frequently cell discarding via congestion and buffer management method. It is one of the most important reasons retransmission and congestion. In this paper we propose advanced LER scheme that provide less cell loss rate also efficient network infrastructure.

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An application of neural network to autopilot design (신경회로망을 이용한 자동조종장치 설계)

  • 유재종;송찬호
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.619-623
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    • 1993
  • In this paper, a neural network is appled to design a lateral autopilot for airplanes. Linearized lateral dynamics is used in training the neural network controller and verifying the performance as well. To train the neural network, back propagation algorithm is used. In this training, no information about the dynamics to be controlled except sign and rough magnitude of control derivatives is needed. It is shown by computer simulations that the performance and stability margin are satisfactory.

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Effect of Hot Spot to Performance of Interconnection Network (Hot Spot 이 Interconnection Network 의 성능에 미치는 영향)

  • Kim, Seong-Jong;Keem, Tae-Hyeong;Lee, Young-No;Shin, In-Chul
    • Proceedings of the KIEE Conference
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    • 1988.07a
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    • pp.655-658
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    • 1988
  • Interconnection network is to provide communication among functional modules. The interconnections considered are Generalized Cube networks. Two situations are examined: a memory module is equally likely to be addressed by a processor and a processor has a favorite memory. This paper proposes the effective condition of operation in interconnection network through performance evaluation by simulation.

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Parallel Performance of Preconditioned Navier-Stokes Code on Myrinet Environment (Myrinet 환경에서 예조건화 Navier-Stokes 코드의 병렬처리 성능)

  • Kim M.-H.;Lee G. S.;Choi J.-Y.;Kim K. S.;Kim S.-L.;Jeung I.-S.
    • 한국전산유체공학회:학술대회논문집
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    • 2001.05a
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    • pp.149-154
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    • 2001
  • Parallel performance of a Myrinet based PC-cluster was tested and compared with a conventional Fast-Ethernet system. A preconditioned Navier-Stokes code was parallelized with domain decomposition technique, and used for the parallel performance test. Speed-up ratio was examined as a major performance parameter depending on the number of processor and the network topology. As was expected, Myrinet system shows a superior parallel performance to the Fast-Ethernet system even with a single network adpater for a dual processor SMP machine. A test for the dependency on problem size also shows that network communication speed is a crucial factor for parallelized computational fluid dynamics analysis and the Myrinet system is a plausible candidate for high performance parallel computing system.

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

  • 서상문;천세우;이용희
    • Proceedings of the ESK Conference
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    • 1993.10a
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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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