• 제목/요약/키워드: Communication algorithm

검색결과 7,801건 처리시간 0.051초

Linear Time Algorithm for Network Reliability Problem

  • Lee, Sang-Un
    • 한국컴퓨터정보학회논문지
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    • 제21권5호
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    • pp.73-77
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    • 2016
  • This paper deals with the network reliability problem that decides the communication line between main two districts while the k districts were destroyed in military communication network that the n communication lines are connected in m districts. For this problem, there is only in used the mathematical approach as linear programming (LP) software package and has been unknown the polynomial time algorithm. In this paper we suggest the heuristic algorithm with O(n) linear time complexity to solve the optimal solution for this problem. This paper suggests the flow path algorithm (FPA) and level path algorithm (LPA). The FPA is to search the maximum number of distinct paths between two districts. The LPA is to construct the levels and delete the unnecessary nodes and edges. The proposed algorithm can be get the same optimal solution as LP for experimental data.

Combined ML and QR Detection Algorithm for MIMO-OFDM Systems with Perfect ChanneI State Information

  • You, Weizhi;Yi, Lilin;Hu, Weisheng
    • ETRI Journal
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    • 제35권3호
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    • pp.371-377
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    • 2013
  • An effective signal detection algorithm with low complexity is presented for multiple-input multiple-output orthogonal frequency division multiplexing systems. The proposed technique, QR-MLD, combines the conventional maximum likelihood detection (MLD) algorithm and the QR algorithm, resulting in much lower complexity compared to MLD. The proposed technique is compared with a similar algorithm, showing that the complexity of the proposed technique with T=1 is a 95% improvement over that of MLD, at the expense of about a 2-dB signal-to-noise-ratio (SNR) degradation for a bit error rate (BER) of $10^{-3}$. Additionally, with T=2, the proposed technique reduces the complexity by 73% for multiplications and 80% for additions and enhances the SNR performance about 1 dB for a BER of $10^{-3}$.

The Development of Deceleration Determination Algorithm for Automatic Train Spacing

  • Baek, Jong-Hyen;Kim, Jong-Ki;Kim, Yong-Ku;Lee, Young-Hoon;Kim, Baek-Hyen
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1689-1693
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    • 2003
  • Communication based train control system is applied regularly worldwide. And this system may be used in domestic soon. Communication based train control system does not depend on conventional track circuit. Therefore, position and distance control of train to prevent collision with leading train may become important safety factor. This paper developed collision avoidance algorithm to control trains of several units efficiently for this. In developing a collision avoidance algorithm, it is desirable to avoid the need for additional system. Additional system restricts the development of the algorithm by limiting the effectiveness of the algorithm to only those areas where the additional system can be afforded and has been installed.

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이동 통신 시스템에서 기지국 위치의 최적화 (Base Station Location Optimization in Mobile Communication System)

  • 변건식;이성신;장은영;오정근
    • 한국전자파학회논문지
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    • 제14권5호
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    • pp.499-505
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    • 2003
  • 이동 무선 통신 시스템을 설계할 때 기지국의 위치는 매우 중요한 파라미터 중 하나이다. 기지국 위치를 설계할 때 여러 가지 복잡한 변수들을 잘 조합하여 코스트가 최소가 되도록 설계해야 한다. 이러한 문제를 해결하는데 필요한 알고리즘이 조합 최적화 알고리즘이며, 지금까지 조합 최적화 기술로 Random Walk, Simulated Annealing, Tabu Search, Genetic Algorithm과 같은 전역 최적화 기술이 사용되어 왔다. 본 논문은 이동 통신시스템의 기지국 위치 최적화에 위의 4가지 알고리즘들을 적용하여 각 알고리즘의 결과를 비교 분석하며 알고리즘에 의한 최적화 과정을 보여준다.

분산 시스템의 결함시 재분배 알고리즘의 선정기준을 위한 특성 분석 (Analysis of Criteria for Selecting Load Redistribution Algorithm for Fault-Tolerant Distributed System)

  • 최병갑
    • 한국시뮬레이션학회논문지
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    • 제3권1호
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    • pp.89-98
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    • 1994
  • In this paper, a criteria for selecting an appropriate load redistribution algorithm is devised so that a fault-tolerance distributed system can operte at its optimal efficience. To present the guideline for selecting redistributing algorithms, simulation models of fault-tolerant system including redistribution algorithms are developed using SLAM II. The job arrival rate, service rate, failure and repair rate of nodes, and communication delay time due to load migration are used as parameters of simulation. The result of simulation shows that the job arrival rate and the failure rate of nodes are not deciding factors in affecting the relative efficiency of algorithms. Algorithm B shows relatively a consistent performance under various environments, although its performance is between those of other algorithms. If the communication delay time is longer than average job processing time, the performance of algorithm B is better than others. If the repair rate is relatively small or communication delay time is longer than service time, algorithm A leads to good performance. But in opposite environments, algorithm C is superior to other algorithms.

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효율적인 LDPC 디코딩을 위한 노드 모니터링 알고리듬 (A Node Monitoring Algorithm for Efficient LDPC Decoding)

  • 주경삼;양석;서희종
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.207-208
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    • 2008
  • In this paper, we propose an efficient algorithm for reducing the complexity of LDPC code decoding by using node monitoring (NM). This NM algorithm is based on a new node-threshold method, and the message passing algorithm. This algorithm was simulated in order to verify its efficiency. Simulation results show that the complexity of our NM algorithm is improved to about 10%, compared with well-known methods.

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Improvement of Recognition Performance for Limabeam Algorithm by using MLLR Adaptation

  • Nguyen, Dinh Cuong;Choi, Suk-Nam;Chung, Hyun-Yeol
    • 대한임베디드공학회논문지
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    • 제8권4호
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    • pp.219-225
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    • 2013
  • This paper presents a method using Maximum-Likelihood Linear Regression (MLLR) adaptation to improve recognition performance of Limabeam algorithm for speech recognition using microphone array. From our investigation on Limabeam algorithm, we can see that the performance of filtering optimization depends strongly on the supporting optimal state sequence and this sequence is created by using Viterbi algorithm trained with HMM model. So we propose an approach using MLLR adaptation for the recognition of speech uttered in a new environment to obtain better optimal state sequence that support for the filtering parameters' optimal step. Experimental results show that the system embedded with MLLR adaptation presents the word correct recognition rate 2% higher than that of original calibrate Limabeam and also present 7% higher than that of Delay and Sum algorithm. The best recognition accuracy of 89.4% is obtained when we use 4 microphones with 5 utterances for adaptation.

A CORDIC-Jacobi Based Spectrum Sensing Algorithm For Cognitive Radio

  • Tan, Xiaobo;Zhang, Hang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권9호
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    • pp.1998-2016
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    • 2012
  • Reliable spectrum sensing algorithm is a fundamental component in cognitive radio. In this paper, a non-cooperative spectrum sensing algorithm which needs only one cognitive radio node named CORDIC (Coordinate Rotation Digital Computer) Jacobi based method is proposed. The algorithm computes the eigenvalues of the sampled covariance of received signal mainly by shift and additional operations, which is suitable for hardware implementation. Based the latest random matrix theory (RMT) about the distribution of the limiting maximum and minimum eigenvalue ratio, the relationship between the probability of false alarm and the decision threshold is derived. Simulations and discussions show the method is effective. Real captured digital television (DTV) signals and Universal Software Radio Peripheral (USRP) are also employed to evaluate the performance of the algorithm, which prove the proposed algorithm can be applied in practical spectrum sensing applications.

On Minimum Cost Multicast Routing Based on Cost Prediction

  • Kim, Moon-Seong;Mutka, Matt W.;Hwang, Dae-Jun;Choo, Hyun-Seung
    • Journal of Communications and Networks
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    • 제11권5호
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    • pp.500-508
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    • 2009
  • We have designed an algorithm for a problem in multicast communication. The problem is to construct a multicast tree while minimizing its cost, which is known to be NP-complete. Our algorithm, which employs new concepts defined as potential cost and spanning cost, generates a multicast tree more efficiently than the well-known heuristic called Takahashi and Matsuyama (TM) [1] in terms of tree cost. The time complexity of our algorithm is O($kn^2$) for an n-node network with k members in the multicast group and is comparable to the TM. Our empirical performance evaluation comparing the proposed algorithm with TM shows that the enhancement is up to 1.25%~4.23% for each best case.

유전자 알고리즘 기반 적응 군집화 알고리즘 (An Adaptive Clustering Algorithm Based on Genetic Algorithm)

  • 박남현;안창욱
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2004년도 추계학술발표논문집(상)
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    • pp.459-462
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    • 2004
  • This paper proposes a genetically inspired adaptive clustering algorithm. The algorithm automatically discovers the actual number of clusters and efficiently performs clustering without unduly compromising cluster purity. Chromosome encoding that ensures the correct number of clusters and cluster purity is discussed. The required fitness function is desisted on the basis of modified similarity criteria and genetic operators. These are incorporated into the proposed adaptive clustering algorithm. Experimental results show the efficiency of the clustering algorithm on synthetic data sets and real world data sets.

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