• 제목/요약/키워드: Candidate nodes

검색결과 90건 처리시간 0.029초

Ring형 Network 설계문제의 휴리스틱 알고리즘 (Heuristic Algorithm for the Ring-type Network Design Problem)

  • 김길동;이경식
    • 산업경영시스템학회지
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    • 제15권25호
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    • pp.83-90
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    • 1992
  • This paper aims at the problem that design the network of Rig-star type with the minimum cost, which the Ring is composed of the selected nodes(concentrators) among the several candidate nodes on the network and other nodes(terminals) is connected to the Ring by star subnetwork. Especially, we consider the terminal reliability in network design problem. We develop the heuristic algorithm for network design problem to obtain the near optimal(best) solution for problem. We use an add-heuristic method and 2-exchange method in developing the heuristic algorithm.

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비대칭 외판원문제에서 호의 후보집합 결정 (Determination of Arc Candidate Set for the Asymmetric Traveling Salesman Problem)

  • 김헌태;권상호;지영근;강맹규
    • 한국경영과학회지
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    • 제28권2호
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    • pp.129-138
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    • 2003
  • The traveling salesman problem (TSP) is an NP-hard problem. As the number of nodes increases, it takes a lot of time to find an optimal solution. Instead of considering all arcs, if we select and consider only some arcs more likely to be included in an optimal solution, we can find efficiently an optimal solution. Arc candidate set is a group of some good arcs. For the Lack of study in the asymmetric TSP. it needs to research arc candidate set for the asymmetric TSP systematically. In this paper, we suggest a regression function determining arc candidate set for the asymmetric TSP. We established the function based on 2100 experiments, and we proved the goodness of fit for the model through various 787problems. The result showed that the optimal solutions obtained from our arc candidate set are equal to the ones of original problems. We expect that this function would be very useful to reduce the complexity of TSP.

빠른 경로 복구를 고려한 오버레이 멀티캐스트 (Overlay Multicast considering Fast Path Recovery)

  • 구명모;김봉기
    • 한국산학기술학회논문지
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    • 제17권3호
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    • pp.332-337
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    • 2016
  • 오버레이 멀티캐스트를 이용하는 응용에서는 노드들의 잦은 탈퇴로 인하여 발생하는 전송 경로의 빠른 재구성이 필요하다. 이를 위해 많은 연구들이 진행되어 왔지만 빠른 경로 복구를 위한 연구는 지속적으로 요구된다. 본 논문에서는 오버레이 멀티캐스트에서 부모노드의 탈퇴로 발생하는 전송 경로 재구성 시간을 개선하고 안정적인 경로를 유지하기 위하여 새로운 빠른 경로 복구 방법을 제안한다. 제안 방법에서는 빠른 경로 복구를 위하여 가상 전송 경로와 후보 부모 노드를 이용한다. 모든 노드들은 전송 경로 상 자신과 비슷한 깊이에 존재하는 노드 및 인접한 노드와 주기적으로 RTT(Round Trip Time)정보를 교환한다. 모든 노드들은 후보 부모 노드 리스트를 가지고 있고 각 노드는 이 교환된 RTT 정보를 리스트에 저장한다. 각 노드들은 경로 복구 시간을 줄이기 위하여 저장된 RTT 정보 순으로 후보 부모 노드들을 결정하고 가상 전송 경로를 구성한다. 구성된 가상 전송 경로를 이용하여 부모 노드의 탈퇴 시 빠르게 전송 경로를 복구할 수 있다. 시뮬레이션 결과는 제안 방법의 복구 시간이 일반적인 방법보다 평균 30%로 더 빨랐음을 보여준다.

점진적인 웹 마이닝을 위한 효율적인 후보패턴 저장 트리구조 및 알고리즘 (An Efficient Candidate Pattern Storage Tree Structure and Algorithm for Incremental Web Mining)

  • 강희성;박병준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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    • pp.3-5
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    • 2006
  • Recent advances in the internet infrastructure have resulted in a large number of huge Web sites and portals worldwide. These Web sites are being visited by various types of users in many different ways. Among all the web page access sequences from different users, some of them occur so frequently that may need an attention from those who are interested. We call them frequent access patterns and access sequences that can be frequent the candidate patterns. Since these candidate patterns play an important role in the incremental Web mining, it is important to efficiently generate, add, delete, and search for them. This thesis presents a novel tree structure that can efficiently store the candidate patterns and a related set of algorithms for generating the tree structure adding new patterns, deleting unnecessary patterns, and searching for the needed ones. The proposed tree structure has a kind of the 3 dimensional link structure and its nodes are layered.

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Consistent Triplets of Candidate Paralogs by Graph Clustering

  • Yun, Hwa-Seob;Muchnik, Ilya;Kulikowski, Casimir
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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    • pp.156-160
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    • 2005
  • We introduce a fully automatic clustering method to classier candidate paralog clusters from a set of protein sequences within one genome. A set of protein sequences is represented as a set of nodes, each represented by the amino acid sequence for a protein with the sequence similarities among them constituting a set of edges in a graph of protein relationships. We use graph-based clustering methods to identify structurally consistent sets of nodes which are strongly connected with each other. Our results are consistent with those from current leading systems such as COG/KOG and KEGG based on manual curation. All the results are viewable at http://www.cs.rutgers.edu/${\sim}$seabee.

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스피어 디코더에서 최대 복잡도 감소 기법 및 SER 성능 분석 (Complexity Limited Sphere Decoder and Its SER Performance Analysis)

  • 전은성;양장훈;김동구
    • 한국통신학회논문지
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    • 제33권6A호
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    • pp.577-582
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    • 2008
  • 본 논문에서는 Sphere decoder의 최대 복잡도 문제를 극복하기 위한 기법을 소개한다. 최소 근접 격자점을 탐색하는 과정 중 접근하는 노드의 회수에 제한을 두고, 만약 노드 접근 회수가 제한치를 넘으면, 가장 최근에 접근한 노드와 초기 단계의 ZF 검출 값을 이용해서 제 1 후보 심볼을 얻는다. 그리고 ZF 검출 값을 이용해서 제 2 후보 심볼 벡터를 얻은후, 이 두 후보 심볼 벡터 중 수신 신호와 유클리드 거리가 작은 후보 심볼 벡터를 최종적으로 검출한 심볼 벡터로 얻는다. 또한 제한치 설정에 따른 SER 성능의 upper bound를 이론적으로 분석하였다. 전산 실험 결과 제안한 방법은 높은 SNR 영역에서는 SER 성능에서 최대 0.5dB의 열화가 있었으나, 평균 복잡도와 최대 복잡도가 기존의 제안된 sphere decoder에 비해 상당히 줄어든 것을 확인하였다.

A City-Level Boundary Nodes Identification Algorithm Based on Bidirectional Approaching

  • Tao, Zhiyuan;Liu, Fenlin;Liu, Yan;Luo, Xiangyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권8호
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    • pp.2764-2782
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    • 2021
  • Existing city-level boundary nodes identification methods need to locate all IP addresses on the path to differentiate which IP is the boundary node. However, these methods are susceptible to time-delay, the accuracy of location information and other factors, and the resource consumption of locating all IPes is tremendous. To improve the recognition rate and reduce the locating cost, this paper proposes an algorithm for city-level boundary node identification based on bidirectional approaching. Different from the existing methods based on time-delay information and location results, the proposed algorithm uses topological analysis to construct a set of candidate boundary nodes and then identifies the boundary nodes. The proposed algorithm can identify the boundary of the target city network without high-precision location information and dramatically reduces resource consumption compared with the traditional algorithm. Meanwhile, it can label some errors in the existing IP address database. Based on 45,182,326 measurement results from Zhengzhou, Chengdu and Hangzhou in China and New York, Los Angeles and Dallas in the United States, the experimental results show that: The algorithm can accurately identify the city boundary nodes using only 20.33% location resources, and more than 80.29% of the boundary nodes can be mined with a precision of more than 70.73%.

Broadband Spectrum Sensing of Distributed Modulated Wideband Converter Based on Markov Random Field

  • Li, Zhi;Zhu, Jiawei;Xu, Ziyong;Hua, Wei
    • ETRI Journal
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    • 제40권2호
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    • pp.237-245
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    • 2018
  • The Distributed Modulated Wideband Converter (DMWC) is a networking system developed from the Modulated Wideband Converter, which converts all sampling channels into sensing nodes with number variables to implement signal undersampling. When the number of sparse subbands changes, the number of nodes can be adjusted flexibly to improve the reconstruction rate. Owing to the different attenuations of distributed nodes in different locations, it is worthwhile to find out how to select the optimal sensing node as the sampling channel. This paper proposes the spectrum sensing of DMWC based on a Markov random field (MRF) to select the ideal node, which is compared to the image edge segmentation. The attenuation of the candidate nodes is estimated based on the attenuation of the neighboring nodes that have participated in the DMWC system. Theoretical analysis and numerical simulations show that neighboring attenuation plays an important role in determining the node selection, and selecting the node using MRF can avoid serious transmission attenuation. Furthermore, DMWC can greatly improve recovery performance by using a Markov random field compared with random selection.

노드 이동성 및 분포를 고려한 향상된 다중 점 릴레이 선택 알고리즘 (Enhanced Multi-Point Relay Selection Algorithm for Mobility and Distribution of Nodes)

  • 박종호;오창영;안지형;김정식;정성헌;이태진
    • 한국통신학회논문지
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    • 제37B권12호
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    • pp.1128-1137
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    • 2012
  • 본 논문에서는 노드의 이동성이 크고 노드의 밀도가 균일 하지 않은 애드혹 네트워크에서 라우팅 성능을 개선하기 위해 노드의 이동성과 밀도를 고려하여 OLSR(Optimized Link State Routing) 의 MPR(Multi-Point Relay) 선택방법을 개선할 수 있는 방법을 제안한다. OLSR의 MPR 선택 방법은 노드의 이동성과 밀도에 무관하게 2홉 이웃 노드를 많이 포함하는 노드를 위주로 선택한다. 하지만 노드가 이동성을 갖는 경우에 이동성이 큰 노드를 MPR로 선택할 경우 성능이 저하될 수 있다. 또한 노드의 밀도가 균일 하지 않은 경우에는 밀도가 높은 지역의 노드들이 우선적으로 MPR로 선택되면 네트워크 전체의 성능을 향상시킬 수 있다. 따라서 본 논문에서는 노드의 이동성과 밀도를 Hello 메시지 교환을 통해 측정하고 노드의 이동성과 밀도를 반영하여 MPR 선택에 우선순위를 부여하는 방법을 제안한다. 본 논문에서 제안한 MPR 선택 방법의 성능을 알아보기 위해 OPNET을 활용하여 시뮬레이션을 수행하고 제안 방법의 성능이 가장 우수함을 보인다.

Secure and Robust Clustering for Quantized Target Tracking in Wireless Sensor Networks

  • Mansouri, Majdi;Khoukhi, Lyes;Nounou, Hazem;Nounou, Mohamed
    • Journal of Communications and Networks
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    • 제15권2호
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    • pp.164-172
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    • 2013
  • We consider the problem of secure and robust clustering for quantized target tracking in wireless sensor networks (WSN) where the observed system is assumed to evolve according to a probabilistic state space model. We propose a new method for jointly activating the best group of candidate sensors that participate in data aggregation, detecting the malicious sensors and estimating the target position. Firstly, we select the appropriate group in order to balance the energy dissipation and to provide the required data of the target in the WSN. This selection is also based on the transmission power between a sensor node and a cluster head. Secondly, we detect the malicious sensor nodes based on the information relevance of their measurements. Then, we estimate the target position using quantized variational filtering (QVF) algorithm. The selection of the candidate sensors group is based on multi-criteria function, which is computed by using the predicted target position provided by the QVF algorithm, while the malicious sensor nodes detection is based on Kullback-Leibler distance between the current target position distribution and the predicted sensor observation. The performance of the proposed method is validated by simulation results in target tracking for WSN.