• Title/Summary/Keyword: Cluster Systems

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Design of Occupant Protection Systems Using Global Optimization (전역 최적화기법을 이용한 승객보호장치의 설계)

  • Jeon, Sang-Ki;Park, Gyung-Jin
    • Transactions of the Korean Society of Automotive Engineers
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    • v.12 no.6
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    • pp.135-142
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    • 2004
  • The severe frontal crash tests are NCAP with belted occupant at 35mph and FMVSS 208 with unbelted occupant at 25mph, This paper describes the design process of occupant protection systems, airbag and seat belt, under the two tests. In this study, NCAP simulations are performed by Monte Carlo search method and cluster analysis. The Monte Carlo search method is a global optimization technique and requires execution of a series of deterministic analyses, The procedure is as follows. 1) Define the region of interest 2) Perform Monte Carlo simulation with uniform distribution 3) Transform output to obtain points grouped around the local minima 4) Perform cluster analysis to obtain groups that are close to each other 5) Define the several feasible design ranges. The several feasible designs are acquired and checked under FMVSS 208 simulation with unbelted occupant at 25mph.

BINARIES IN OPEN STAR CLUSTERS: PHOTOMETRIC APPROACH WITH APPLICATION TO THE HYADES

  • ALAWY A. EL-BASSUNY;KORANY B. A.;HAROON A. A.;ISMAIL H. A.;SHARAF M. A.
    • Journal of The Korean Astronomical Society
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    • v.37 no.3
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    • pp.119-129
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    • 2004
  • A new method has been developed to solve the star cluster membership problem. It is based on synthetic photometry employing the Black Body concept as stellar radiation simulator. Synthetic color-magnitude diagram is constructed showing the main sequence band and the positions of binary star systems of combinations of various components through different photometric tracks. The method has been applied to the Hyades. The cluster membership problem has been re-appraised for the cluster (both single and binary) stars. For the binary members, the components' spectral types have been derived by the method. The results obtained agree very well with those found in literature, The method is simpler than the others and can be developed to undertake other cases as multiple star systems.

Cluster Analysis of Incomplete Microarray Data with Fuzzy Clustering

  • Kim, Dae-Won
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.3
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    • pp.397-402
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    • 2007
  • In this paper, we present a method for clustering incomplete Microarray data using alternating optimization in which a prior imputation method is not required. To reduce the influence of imputation in preprocessing, we take an alternative optimization approach to find better estimates during iterative clustering process. This method improves the estimates of missing values by exploiting the cluster Information such as cluster centroids and all available non-missing values in each iteration. The clustering results of the proposed method are more significantly relevant to the biological gene annotations than those of other methods, indicating its effectiveness and potential for clustering incomplete gene expression data.

Level Selection Algorithm with Fixed Sampling Frequency for Modular Multilevel Converter (고정 샘플링 주파수에서의 모듈형 멀티레벨 컨버터 레벨 선택 알고리즘)

  • Kim, Chan-Ki;Park, Chang-Hwan;Kim, Jang-Mok
    • The Transactions of the Korean Institute of Power Electronics
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    • v.23 no.6
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    • pp.415-423
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    • 2018
  • This study uses a level selection algorithm with fixed sampling frequency for modular multilevel converter (MMC) systems. Theoretically, the proposed method increases the level infinitely while the sampling time remains the same. The proposed method called cluster stream buffer (CSB) consists of several clusters, wherein each cluster is composed of 32 submodules that depend on the level of the submodules in the MMC system. To increase the level of the MMC system, additional clusters are used, and the sampling time between clusters is determined from the sampling time between levels needed for utilizing the entire level from the MMC system. This method is crucial in the control of MMC-type HVDC systems because it improves scalability and precision.

Performance Evaluation of TVWS Multi-channel Cluster Tree PAN (TVWS Multi-channel Cluster Tree PAN 성능평가)

  • Jang, In;Hwang, Kwang-il;Choi, Seok-Jun;Sim, Byoung-Sup
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.233-236
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    • 2013
  • 본 논문에서는 무선 주파수 자원의 부족문제가 대두됨에 따라 TV White Space(TVWS) 주파수 대역을 효과적으로 사용하기 위한 IEEE 802.15.4m TVWS Multi-channel Cluster PAN(TMCTP)을 소개하고 NS-3 를 이용하여 Association 시간과 Uplink, Downlink 데이터 전송시간에 대한 성능평가를 한다. 성능평가 결과에 대하여 분석하고 향후 TMCTP 의 추가할 부분에 대하여 도출한다.

A Study on Ni-H, Pd-H, and Pt-H Systems by Cluster Orbital Method

  • Lee, Ju-Hyeok;Lee, Keun-Woo;Kim, Ho-Jing
    • Bulletin of the Korean Chemical Society
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    • v.14 no.2
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    • pp.225-234
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    • 1993
  • As an application of the cluster orbitals proposed previously, nickel-, palladium-, and platinum-hydrogen systems are studied. Density of states, projected density of states, HOMO levels, and stabilization energies are calculated and compared with those obtained by extended Huckel method for small clusters. These calculations are extended to large clusters to find the size dependence of several physical quantities. Reduced overlap populations are also calculated to clarify the charge transfer phenomena reported earlier. The calculated physical quantities show no dependence on the cluster size. It is also found that the charge transfer occurs due to the intrinsic character of palladium, not due to the edge effect which may be present in small clusters.

Balancing Energy and Memory Consumption for Lifetime Increase of Wireless Sensor Network (무선 센서 네트워크의 수명 연장을 위한 에너지와 메모리의 균형 있는 소모 방법)

  • Kim, Tae-Rim
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.6
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    • pp.361-367
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    • 2014
  • This paper introduces balancing energy and memory consumption for lifetime increase of wireless sensor network. In cluster-based wireless sensor network, sensor nodes adjacent of cluster heads have a tendency to deplete their own battery energy and cluster heads occupy memory space significantly. If the nodes close to region where events occur frequently consume their energy and memory fully, network might be destroyed even though most of nodes are still alive. Therefore, it needs to balance network energy and memory with consideration of event occurrence probability so that network lifetime is increased. We show a method of balancing wireless sensor network energy and memory to organize cluster groups and elect cluster heads in terms of event occurrence probability.

A Novel Cluster-Based Cooperative Spectrum Sensing with Double Adaptive Energy Thresholds and Multi-Bit Local Decision in Cognitive Radio

  • Van, Hiep-Vu;Koo, In-Soo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.3 no.5
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    • pp.461-474
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    • 2009
  • The cognitive radio (CR) technique is a useful tool for improving spectrum utilization by detecting and using the vacant spectrum bands in which cooperative spectrum sensing is a key element, while avoiding interfering with the primary user. In this paper, we propose a novel cluster-based cooperative spectrum sensing scheme in cognitive radio with two solutions for the purpose of improving in sensing performance. First, for the cluster header, we use the double adaptive energy thresholds and a multi-bit quantization with different quantization interval for improving the cluster performance. Second, in the common receiver, the weighed HALF-voting rule will be applied to achieve a better combination of all cluster decisions into a global decision.

The Impact of Network Coding Cluster Size on Approximate Decoding Performance

  • Kwon, Minhae;Park, Hyunggon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1144-1158
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    • 2016
  • In this paper, delay-constrained data transmission is considered over error-prone networks. Network coding is deployed for efficient information exchange, and an approximate decoding approach is deployed to overcome potential all-or-nothing problems. Our focus is on determining the cluster size and its impact on approximate decoding performance. Decoding performance is quantified, and we show that performance is determined only by the number of packets. Moreover, the fundamental tradeoff between approximate decoding performance and data transfer rate improvement is analyzed; as the cluster size increases, the data transfer rate improves and decoding performance is degraded. This tradeoff can lead to an optimal cluster size of network coding-based networks that achieves the target decoding performance of applications. A set of experiment results confirms the analysis.

A Robust Transport Protocol Based on Intra-Cluster Node Density for Wireless Sensor Networks (무선 센서 네트워크를 위한 클러스터 내 노드 밀도 기반 트랜스포트 프로토콜)

  • Baek, Cheolheon;Moh, Sangman
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.6
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    • pp.381-390
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    • 2015
  • The efficient design of a transport protocol contributes to energy conservation as well as performance improvement in wireless sensor networks (WSNs). In this paper, a node-density-aware transport protocol (NDTP) for intra-cluster transmissions in WSNs for monitoring physical attributes is proposed, which takes node density into account to mitigate congestion in intra-cluster transmissions. In the proposed NDTP, the maximum active time and queue length of cluster heads are restricted to reduce energy consumption. This is mainly because cluster heads do more works and consume more energy than normal sensor nodes. According to the performance evaluation results, the proposed NDTP outperforms the conventional protocol remarkably in terms of network lifetime, congestion frequency, and packet error rate.