• Title/Summary/Keyword: Node distribution

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Parallel Genetic Algorithm-Tabu Search Using PC Cluster System for Optimal Reconfiguration of Distribution Systems

  • Mun Kyeong-Jun;Lee Hwa-Seok;Park June-Ho
    • KIEE International Transactions on Power Engineering
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    • v.5A no.2
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    • pp.116-124
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    • 2005
  • This paper presents an application of the parallel Genetic Algorithm-Tabu Search (GA- TS) algorithm, and that is to search for an optimal solution of a reconfiguration in distribution systems. The aim of the reconfiguration of distribution systems is to determine the appropriate switch position to be opened for loss minimization in radial distribution systems, which is a discrete optimization problem. This problem has many constraints and it is very difficult to solve the optimal switch position because of its numerous local minima. This paper develops a parallel GA- TS algorithm for the reconfiguration of distribution systems. In parallel GA-TS, GA operators are executed for each processor. To prevent solution of low fitness from appearing in the next generation, strings below the average fitness are saved in the tabu list. If best fitness of the GA is not changed for several generations, TS operators are executed for the upper 10$\%$ of the population to enhance the local searching capabilities. With migration operation, the best string of each node is transferred to the neighboring node after predetermined iterations are executed. For parallel computing, we developed a PC-cluster system consisting of 8 PCs. Each PC employs the 2 GHz Pentium IV CPU and is connected with others through switch based rapid Ethernet. To demonstrate the usefulness of the proposed method, the developed algorithm was tested and is compared to a distribution system in the reference paper From the simulation results, we can find that the proposed algorithm is efficient and robust for the reconfiguration of distribution system in terms of the solution quality, speedup, efficiency, and computation time.

Main Content Extraction from Web Pages Based on Node Characteristics

  • Liu, Qingtang;Shao, Mingbo;Wu, Linjing;Zhao, Gang;Fan, Guilin;Li, Jun
    • Journal of Computing Science and Engineering
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    • v.11 no.2
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    • pp.39-48
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    • 2017
  • Main content extraction of web pages is widely used in search engines, web content aggregation and mobile Internet browsing. However, a mass of irrelevant information such as advertisement, irrelevant navigation and trash information is included in web pages. Such irrelevant information reduces the efficiency of web content processing in content-based applications. The purpose of this paper is to propose an automatic main content extraction method of web pages. In this method, we use two indicators to describe characteristics of web pages: text density and hyperlink density. According to continuous distribution of similar content on a page, we use an estimation algorithm to judge if a node is a content node or a noisy node based on characteristics of the node and neighboring nodes. This algorithm enables us to filter advertisement nodes and irrelevant navigation. Experimental results on 10 news websites revealed that our algorithm could achieve a 96.34% average acceptable rate.

Prognostic Factors on Overall Survival in Lymph Node Negative Gastric Cancer Patients Who Underwent Curative Resection

  • Jeong, Ji Yun;Kim, Min Gyu;Ha, Tae Kyung;Kwon, Sung Joon
    • Journal of Gastric Cancer
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    • v.12 no.4
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    • pp.210-216
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    • 2012
  • Purpose: To assess independent prognostic factors for lymph node-negative metastatic gastric cancer patients following curative resection is valuable for more effective follow-up strategies. Materials and Methods: Among 1,874 gastric cancer patients who received curative resection, 967 patients were lymph node-negative. Independent prognostic factors for overall survival in lymph node-negative gastric cancer patients grouped by tumor invasion depth (early gastric cancer versus advanced gastric cancer) were explored with univariate and multivariate analyses. Results: There was a significant difference in the distribution of recurrence pattern between lymph node-negative and lymph nodepositive group. In the lymph node-negative group, the recurrence pattern differed by the depth of tumor invasion. In univariate analysis for overall survival of the early gastric cancer group, age, macroscopic appearance, histologic type, venous invasion, lymphatic invasion, and carcinoembryonic antigen level were significant prognostic factors. Multivariate analysis for these factors showed that venous invasion (hazard ratio, 6.695), age (${\geq}59$, hazard ratio, 2.882), and carcinoembryonic antigen level (${\geq}5$ ng/dl, hazard ratio, 3.938) were significant prognostic factors. Multivariate analysis of advanced gastric cancer group showed that depth of tumor invasion (T2 versus T3, hazard ratio, 2.809), and age (hazard ratio, 2.319) were prognostic factors on overall survival. Conclusions: Based on our results, independent prognostic factors such as venous permeation, carcinoembryonic antigen level, and age, depth of tumor invasion on overall survival were different between early gastric cancer and advanced gastric cancer group in lymph node-negative gastric cancer patients. Therefore, we are confident that our results will contribute to planning follow-up strategies.

Multiple Node Flip Fast-SSC Decoding Algorithm for Polar Codes Based on Node Reliability

  • Rui, Guo;Pei, Yang;Na, Ying;Lixin, Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.658-675
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    • 2022
  • This paper presents a fast-simplified successive cancellation (SC) flipping (Fast-SSC-Flip) decoding algorithm for polar code. Firstly, by researching the probability distribution of the number of error bits in a node caused by channel noise in simplified-SC (SSC) decoder, a measurement criterion of node reliability is proposed. Under the guidance of the criterion, the most unreliable nodes are firstly located, then the unreliable bits are selected for flipping, so as to realize Fast-SSC-Flip decoding algorithm based on node reliability (NR-Fast-SSC-Flip). Secondly, we extended the proposed NR-Fast-SSC-Flip to multiple node (NR-Fast-SSC-Flip-ω) by considering dynamic update to measure node reliability, where ω is the order of flip-nodes set. The extended algorithm can correct the error bits in multiple nodes, and get good performance at medium and high signal-to-noise (SNR) region. Simulation results show that the proposed NR-Fast-SSC-Flip decoder can obtain 0.27dB and 0.17dB gains, respectively, compared with the traditional Fast-SSC-Flip [14] and the newly proposed two-bit-flipping Fast-SSC (Fast-SSC-2Flip-E2) [18] under the same conditions. Compared with the newly proposed partitioned Fast-SSC-Flip (PA-Fast-SSC-Flip) (s=4) [18], the proposed NR-Fast-SSC-Flip-ω (ω=2) decoder can obtain about 0.21dB gain, and the FER performance exceeds the cyclic-redundancy-check (CRC) aided SC-list (CRC-SCL) decoder (L=4).

Numerical Research about Asymmetric Growth of Cancer, Angiogenesis and Hemodynamics (암의 비대칭적 성장, 혈관생성 및 혈류역학에 대한 수치적 연구)

  • Kim, Y.S.;Shim, E.B.
    • Proceedings of the KSME Conference
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    • 2007.05b
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    • pp.2951-2954
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    • 2007
  • Tumor hemodynamics in vascular state is numerically simulated using pressure node solution. The tumor angiogenesis pattern in our previous study is used for the geometry of vessel networks. For tumor angiogenesis, the equation that governed angiogenesis comprises a tumor angiogenesis factor (TAF) conservation equation in time and space, which is solved numerically using the Galerkin finite element method. A stochastic process model is used to simulate vessel formation and vessel. In this study, we use a two-dimensional model with planar vessel structure. Hemodynamics in vessel is assumed as incompressible steady flow with Newtonian fluid properties. In parent vessel, arterial pressure is assigned as a boundary condition whereas a constant terminal pressure is specified in tumor inside. Kirchhoff's law is applied to each pressure node to simulate the pressure distribution in vessel networks. Transient pressure distribution along with angiogenesis pattern is presented to investigate the effect of tumor growth in tumor hemodynamics.

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OFDM Star Network Based on Carrier Distribution (캐리어 분배에 의한 OFDM 스타망에 관한 고찰)

  • 채창준
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.1
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    • pp.281-290
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    • 1996
  • In this paper we suggest an OFDM star network based on carrier distribution and homodyne detection in which all optical carriers generated and stabilized in a specific node are distributed to each node. We studied ASK and PSK modulation schemes and calculated rspective SNRs and BERs for this network. We also discussed on the optical power requirement on the light sources for 200 Mb/s transmission speed. As a result, we found tht ASK and PSK respectively require 13 dBm and 10 dBm for 32 nodes and the nmber of nodes can be expanded to 73 with only 0 dBm of power and minimum insertion losses of components. The proposed network is more reliable than the conventional ones due to the centralized carrier maintenance andthe network is suitable for the adverse environment of the nodes.

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Case Study: Restructuring of the Logistics Network and Calculating of the Distribution Center Size Based on Simulation Method (시뮬레이션을 활용한 신 물류체계 구축과 물류센터 규모 산정에 관한 연구)

  • Lee, Jae-Jun;Park, Young-Jae;Chung, Tae-Won
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.05a
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    • pp.93-99
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    • 2005
  • 물류 네트워크는 거점(Node)과 수배송(Link) 형태로 구성된다. 중장기적인 관점에서 예측된 수요를 고려하여 재고, 수배송, 납기시간을 줄일 수 있는 Node와 Link를 결정하는 것이 물류 네트워크 구축 연구의 목적이다. 건축도료를 생산하는 A사는 3개의 공장과 2개의 물류센터를 보유하고 있으며, 향후 공장 이전과 신규 물류센터를 건립할 계획이다. 이러한 물류 환경 변화 하에서 현재 대고객 서비스 수준은 유지하면서, 최소의 비용으로 적정 재고수준을 보장하는 A사의 신 물류체계를 구축하는 것이 필요하다. 이를 위해 본 연구에서는 시뮬레이션을 활용하여 최적의 물류 네트워크 구축 및 적정의 물류센터 규모를 산정하였다.

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A Mesh-free Crack Analysis Technique Using Enriched Approximation and Discontinuity Function (확장변위함수와 불연속함수를 적용한 Mesh-free 균열해석기법)

  • 이상호;윤영철
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2001.04a
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    • pp.335-342
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    • 2001
  • In this paper, an improved Element-Free Galerkin (EFG) method is proposed by adding enrichment function to the standard EFG approximation and a discontinuity function is implemented in constructing the shape function across the crack surface. In this method, the singularity and the discontinuity of the crack are efficiently modeled by using initial node distribution to evaluate reliable stress intensity factor, though the standard EFG method requires placing additional nodes near the crack tip. The proposed method enables the initial node distribution to be kept without any additional nodal d.o.f. and expresses the asymptotic stress field near the crack tip successfully. Numerical example verifies the improvement and the effectiveness of the method.

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Power Dissipation Considered AODV for Fair Energy Distribution in MANET (MANET에서 에너지 균등분배를 위해 전원상태를 고려한 AODV)

  • Song, Sang-Bok;Lee, Soong-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.3
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    • pp.469-477
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    • 2008
  • The standard routing protocol of MANET(Mobile Ad-hoc NETwork), AODV(Ad-hoc On-demand Distance Vector), only considers the shortest path for routing, which may cause traffic concentration to a node at the critical path. Hence, the battery of the node will be dissipated rapidly to reduce the lifetime of the whole network. In this paper, power dissipation considered AODV is proposed for fair energy distribution in MANET, and verified using the computer simulation.

PC Cluster Based Parallel Genetic Algorithm-Tabu Search for Service Restoration of Distribution Systems (PC 클러스터 기반 병렬 유전 알고리즘-타부 탐색을 이용한 배전계통 고장 복구)

  • Mun Kyeong-Jun;Lee Hwa-Seok;Park June Ho
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.8
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    • pp.375-387
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    • 2005
  • This paper presents an application of parallel Genetic Algorithm-Tabu Search (GA-TS) algorithm to search an optimal solution of a service restoration in distribution systems. The main objective of service restoration of distribution systems is, when a fault or overload occurs, to restore as much load as possible by transferring the do-energized load in the out of service area via network reconfiguration to the appropriate adjacent feeders at minimum operational cost without violating operating constraints, which is a combinatorial optimization problem. This problem has many constraints with many local minima to solve the optimal switch position. This paper develops parallel GA-TS algorithm for service restoration of distribution systems. In parallel GA-TS, GA operators are executed for each processor. To prevent solutions of low fitness from appearing in the next generation, strings below the average fitness are saved in the tabu list. If best fitness of the GA is not changed for several generations, TS operators are executed for the upper $10\%$ of the population to enhance the local searching capabilities. With migration operation, best string of each node is transferred to the neighboring node after predetermined iterations are executed. For parallel computing, we developed a PC cluster system consists of 8 PCs. Each PC employs the 2 GHz Pentium IV CPU and is connected with others through ethernet switch based fast ethernet. To show the validity of the proposed method, proposed algorithm has been tested with a practical distribution system in Korea. From the simulation results, we can find that the proposed algorithm is efficient for the distribution system service restoration in terms of the solution quality, speedup, efficiency and computation time.