• 제목/요약/키워드: layer performance

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휴대인터넷 분산 네트워크 환경 기반의 Cross-Layer 구조 설계 (A Cross-Layer Design for WiBro Distributed Network)

  • 노재훈;류규태
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.283-284
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    • 2008
  • A cross-layer optimization is becoming a popular design methodology for the IP based next generation wireless network. We begin by investigating a cross-layer optimization scheme to enhance the system performance in wireless networks. By applying cross-layer optimization methodology to WiBro distributed network, the WiBro systems are expected to gain significant performance improvement and resource utilization enhanced. For further study we highlight some open challenges and new opportunities for cross-layer design.

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A Simple but Efficient Scheme for Reliable Connectivity and High Performance in Ad-hoc Wireless Networks

  • Tak, Sung-Woo
    • Journal of information and communication convergence engineering
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    • 제10권2호
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    • pp.141-148
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    • 2012
  • This paper presents a simple but efficient scheme incorporating a reputation-based approach and a cross-layer approach, called the SIM scheme, for maintaining reliable connectivity and high performance in ad-hoc wireless networks. The SIM scheme incorporates the following two things: an ad-hoc routing scheme with a reputation-based approach exploiting the game theory concept based on an evolutionarily stable strategy, and a cross-layer approach between the network layer and the transport layer employing a reputation-based approach.

성능개선과 하드웨어구현을 위한 다층구조 양방향연상기억 신경회로망 모델 (A Multi-layer Bidirectional Associative Neural Network with Improved Robust Capability for Hardware Implementation)

  • 정동규;이수영
    • 전자공학회논문지B
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    • 제31B권9호
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    • pp.159-165
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    • 1994
  • In this paper, we propose a multi-layer associative neural network structure suitable for hardware implementaion with the function of performance refinement and improved robutst capability. Unlike other methods which reduce network complexity by putting restrictions on synaptic weithts, we are imposing a requirement of hidden layer neurons for the function. The proposed network has synaptic weights obtainted by Hebbian rule between adjacent layer's memory patterns such as Kosko's BAM. This network can be extended to arbitary multi-layer network trainable with Genetic algorithm for getting hidden layer memory patterns starting with initial random binary patterns. Learning is done to minimize newly defined network error. The newly defined error is composed of the errors at input, hidden, and output layers. After learning, we have bidirectional recall process for performance improvement of the network with one-shot recall. Experimental results carried out on pattern recognition problems demonstrate its performace according to the parameter which represets relative significance of the hidden layer error over the sum of input and output layer errors, show that the proposed model has much better performance than that of Kosko's bidirectional associative memory (BAM), and show the performance increment due to the bidirectionality in recall process.

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트랜스포트 계층과 네트워크 계층 이동성 관리 방안들의 성능비고 (Performance Comparison of Transport vs. Network Layer Mobility Management Mechanisms)

  • 장문정;이미정
    • 한국정보과학회논문지:정보통신
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    • 제33권1호
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    • pp.28-37
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    • 2006
  • 최근 새로운 트랜스포트 계층 프로토콜인 SCTP를 기반으로 한 트랜스포트 계층 이동성 지원방안이 제안되었다. 본 논문에서는 이들 트랜스포트 계층 이동성 지원 방안이 지금까지 제안되어 온 대표적인 IPv6 기반 네트워크 계층에서의 이동성 지원 방안들에 비하여 어느 정도의 성능을 보이는지 그 위치를 가늠해 보고, 이들 각 프로토콜이 수반하는 오버헤드를 비교하였다 시뮬레이션 결과를 통하여 트랜스포트 계층에서의 종단 간 이동성 지원 방안이 네트워크 계층 이동성 지원 방안들이 수반하는 오버헤드보다 더 낮은 오버헤드를 가지며 전송 성능이나 핸드오버 지연 측면에서 MIPv6와 유사하거나 더 좋은 성능을 보임을 알 수 있었다.

Segmentation of Objects with Multi Layer Perceptron by Using Informations of Window

  • Kwak, Young-Tae
    • Journal of the Korean Data and Information Science Society
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    • 제18권4호
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    • pp.1033-1043
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    • 2007
  • The multi layer perceptron for segmenting objects in images only uses the input windows that are made from a image in a fixed size. These windows are recognized so each independent learning data that they make the performance of the multi layer perceptron poor. The poor performance is caused by not considering the position information and effect of input windows in input images. So we propose a new approach to add the position information and effect of input windows to the multi layer perceptron#s input layer. Our new approach improves the performance as well as the learning time in the multi layer perceptron. In our experiment, we can find our new algorithm good.

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위상 최적화를 이용한 능동 감쇠층의 설계 (Design of an Active Damping Layer Using Topology Optimization)

  • 김태우;김지환
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 추계학술대회논문집
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    • pp.660-664
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    • 2003
  • The optimal thickness distribution of an active damping layer is sought so that it satisfies a certain constraint on the dynamic performance of a system minimizing control efforts. To obtain a topologically optimized configuration, which includes size and shape optimization, thickness of the active damping layer is interpolated using linear functions. With the control energy as the objective function to be minimized, the state error energy is introduced as the dynamic performance criterion for the system and used lot a constraint. The optimal control gains are evaluated from LQR simultaneously as the optimization of the layer position proceeds. From numerical simulation, the topologically optimized distribution of the active damping layer shows the same dynamic performance and cost as the Idly covered counterpart, which is optimized only in terms of control gains, with less amount of the layer.

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Adaptive ARQ Method for Enhancements of LTE MAC Protocol

  • Jung, Yonghak;Kwon, Youngmi
    • 한국멀티미디어학회논문지
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    • 제19권12호
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    • pp.1992-1999
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    • 2016
  • In layered communication architecture, each layer is designed to service its own functions to higher layer while getting serviced by lower layer. Usually layered architectures are not optimized in a total view of whole services and functions. So cross layer design pursues performance enhancements by optimizing in various ways. In LTE, MAC layer uses HARQ mechanism and RLC layer uses ARQ mechanism for retransmission. According to the 3GPP 36.331 specification, two layers' cooperation may not happen in an optimized way. This paper suggests an adaptive MAC layer approach which RLC layer's function might be initiated in MAC layer in advance to utilize MAC layer's idling wasting time for RLC layer's next decision. This adaptive ARQ method in MAC layer speeds up the next retransmission and reduces the overall transmission time. Emulation shows the improved performance in total retransmission time and retransmission success ratio. In wireless shadow area, the retransmission occurs frequently. Our approach has strong points in this poor wireless condition.

병원정보화 평가를 위한 PRM 기반의 체계 개발 및 적용 (Evaluation of Hospital Information System Based on the Performance Reference Model)

  • 채영문;조경원;김혜숙;박춘복
    • 보건의료산업학회지
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    • 제5권1호
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    • pp.1-13
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    • 2011
  • The purpose of this paper was to evaluate performance of information system for one national university hospital in order to identify the factors influencing performance of information system. KPIs were collected for 181 users of information system (41 doctors, 104 nurses, and 11 medical supporting staffs, and 25 administrative staffs) from August 10 to 24, 2010. The results were as follows: Average performance score for input layer was 3.16; average performance score for process layer was 3.35; and average performance score for business layer was 3.57. Scores for input layer was lowest for nurses and scores for process and business layer were lowest for doctors. Results from the path analysis showed that system quality, demographic characteristics, and security significantly influenced management process but these factors except demographic characteristics influenced user satisfaction; and management process also significantly influenced user satisfaction.

Optimization of $p^+$ seeding layer for thin film silicon solar cell by liquid phase epitaxy

  • Lee, Eun-Joo;Lee, Soo-Hong
    • 한국결정성장학회지
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    • 제15권6호
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    • pp.260-262
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    • 2005
  • Thickness optimization of heavily doped p-type seeding layer was studied to improve performance of thin film silicon solar cell. We used liquid phase epitaxy (LPE) to grow active layer of $25{\mu}m$ thickness on $p^+$ seeding layer. The cells with $p^+$ seeding layer of $10{\mu}m\;to\;50{\mu}m$ thickness were fabricated. The highest efficiency of a cell is 12.95%, with $V_{oc}=633mV,\;J_{sc}=26.5mA/cm^2$, FF = 77.15%. The $p^+$ seeding layer of the cell is $20{\mu}m$ thick. As thicker seeding layer than $20{\mu}m$, the performance of the cell was degraded. The results demonstrate that the part of the recombination current is due to the heavily doped seeding layer. Thickness of heavily doped p-type seeding layer was optimized to $20{\mu}m$. The performance of solar cell is expected to improve with the incorporation of light trapping as texturing and AR coating.

결정질 실리콘 박막 태양전지의 $P^+$ 씨앗층 형성 최적화에 관한 연구 (OPTIMIZATION OF $P^+$ SEEDING LAYER FOR THIN FILM SILICON SOLAR CELL)

  • 이은주;이수홍
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2005년도 춘계학술대회
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    • pp.168-171
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    • 2005
  • Thickness optimization of heavily doped p-type seeding layer was studied to improve performance of thin film silicon solar cell. We used liquid phase epitaxy (LPE) to grow active layer of $25{\MU}m$ thickness on p+ seeding layer. The cells with p+ seeding layer of $10{\mu}m\;to\;50{\mu}m$ thickness were fabricated. The highest efficiency of a cell is $12.95\%$, with Voc=633mV, $Jsc=26.5mA/cm^2,\;FF=77.15\%$. The $P^+$ seeding layer of the cell is $20{\mu}m$, thick. As thicker seeding layer than $20{\mu}m$, the performance of the cell was degraded. The results demonstrate that the part of the recombination current is due to the heavily doped seeding layer. Thickness of heavily doped p-type seeding layer was optimized to $20{\mu}m$. The performance of solar cell is expected to improve with the incorporation of light trapping as texturing and AR coating.

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