• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.54-56
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• 1998

본 논문에서는 병렬 정보검색 시스템에 있어 클러스터 문서할당을 위한 두 가지 휴리스틱 기법을 제시한다. 효율적 문서할당에 관한 매핑 문제를 정의하고 유전알고리즘과 모의냉각기법에 기반을 두는 휴리스틱 매핑 알고리즘을 기술한다. 알고리즘 성능실험과 관련하여 시뮬레이션을 통한 다른 할당 알고리즘과 비교평가한 결과 개선된 성능을 얻을 수 있었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.3B
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• pp.183-198
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• 2006

We define the incomplete medium sharing system as a multi-channel shared medium communication system where constraints are imposed to the set of channels that may be allocated to some transmitter-receiver node pairs. To derive a centralized MAC scheme of a incomplete medium sharing system, we address the problem of optimal channel allocation The optimal channel allocation problem is then translated into a max-flow problem in a multi-commodity flow graph, and it is shown that the optimal solution can then be obtained by solving a linear programming problem. In addition, two suboptimal channel allocation schemes are proposed to bring down the computational complexity to a practical/feasible level; (1) one is a modified iSLIP channel allocation scheme, (2) the other is sequential channel allocation scheme. From the results of a extensive set of numerical experiments, it is found that the suboptimal schemes evaluate channel utilization close to that of the optimal schemes while requiring much less amount of computation than the optimal scheme. In particular, the sequential channel allocation scheme is shown to achieve higher channel utilization with less computational complexity than . the modified iSLIP channel allocation scheme.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.811-812
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• 2016

최근 공간 정보는 생산 되는 양과 데이터의 생성 빈도 및 다양성으로 인해 기존의 공간 데이터베이스 시스템에서 처리하기 어렵다. 그래서 공간 정보는 빅데이터와 연계에 관한 시도가 활발히 진행되고 있다. 그러나 효율적인 단일할당, 다중할당 색인기반 공간 연산에 대한 연구는 거의 없다. 이 논문에서는 공간 연산 중 비용이 매우 큰 공간 조인을 빅데이터 시스템에서 처리하기 위한 고려요소를 제시하고자 한다. 구체적으로 맵리듀스 시스템의 태스크 할당을 위한 단일 할당 공간 색인방안을 설명하고, 불균일 분포가 심한 공간 정보의 특성을 고려한 부하 균등화 시 고려 요소를 제시하고자 한다. 맵리듀스와 같은 병렬 공간 데이터베이스 시스템에서의 두 가지 문제인 데이터 불균일 분포 문제와 경계 겹침 색인의 문제와의 연관성을 기술한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7A
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• pp.646-653
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• 2010

This paper provides a unified framework for the joint optimal subchannel and power allocation in multi-hop relay network, where each node in the network has multiple parallel subchannels such as in OFDM or MIMO system. When there are multiple parallel subchannels between nodes, the relay node decides how to match the subchannel at the first hop with the one at the second hop aside from determining the power allocation. Joint optimal design of subchannel matching and power allocation is, in general, known to be very difficult to solve due to the combinatorial nature involved in subchannel matching. Despite this difficulty, we use a simple rearrangement inequality and show that seemingly difficult problems can be efficiently solved. This includes several existing solution methods as special cases. We also provide various design examples to show the effectiveness of the proposed framework.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.141-151
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• 2012

This paper suggests more simple algorithm than Hungarian algorithm for assignment problem. Hungarian algorithm selects minimum cost of row and column, and subtracts minimum cost from each cost. Then, performs until the number of minimum lines with 0 equals the number of rows. But, the proposed algorithm selects the minimum cost for each rows only. From the start point with over 2 to the target point with null selects in column, fixes the maximum opportunity cost that the difference of the cost of starting point and target point, and moves the cost less than opportunity cost th more than previous cost. For the 25 balance and 7 unbalance assignment problems, This algorithm gets the optimal solution same as Hungarian algorithm. This algorithm improves the time complexity $O(n^3)$ of Hungarian algorithm to $O(n^2)$, and do not performs the transformation process from unbalance to balance assignment in Hungarian algorithm. Therefore, this algorithm can be alter Hungarian algorithm in assignment problem.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1215-1218
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• 2008

IEEE 802.15.4 기반의 무선 센서 네트워크는 다양한 종류의 센서들로 구성된다. 이러한 센서들은 각각 다양한 주기들로 중심 노드에게 데이터를 전송하고자 한다. 슈퍼프레임마다의 주기적인 전송을 위해 IEEE 802.15.4에서는 GTS(Guaranteed Time Slot) 메커니즘을 제공한다. 하지만 하나의 센서 네트워크에서 슈퍼프레임 길이는 모두 동일하기 때문에 이보다 긴 주기를 갖는 센서들은 GTS를 할당받고도 데이터를 전송하지 않는 경우가 발생할 수 있다. 때문에 IEEE 802.15.4의 GTS 메커니즘에서는 낮은 사용 효율의 문제가 발생한다. 본 논문은 이러한 문제를 보완하고자 주기적 GTS 할당 방법(PGTS: Periodic Guaranteed Time Slot)을 제안한다. 주기적 GTS 할당 방법에서는 단말들이 GTS 요청 시 자신의 데이터 전송 주기를 PAN 코디네이터에게 보고하고, PAN 코디네이터는 이를 고려하여 단말의 주기에 따른 슈퍼프레임에서만 GTS 구간을 할당한다. 이를 통해 주기적 GTS 할당 방법은 기존 GTS 할당 방법보다 대역의 낭비를 줄여 GTS를 효율적으로 사용가능하도록 하고 더 많은 수의 단말들에게 GTS를 배정할 수 있게 한다. 본 논문에서는 시뮬레이션 결과를 통해 주기적 GTS 할당 방법이 IEEE 802.15.4의 GTS 할당 방법보다 효율적이며 더 많은 수의 단말에게 GTS를 할당할 수 있음을 확인하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.1C
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• pp.90-97
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• 2009

The advantages of the orthogonal frequency division multiplexing (OFDM) are high spectral efficiency, resiliency to RF interference, and lower multi-path distortion. To further utilize vast channel capacity of the multiuser OFDM, one has to find the efficient adaptive subchannel and bit allocation among users. In this paper, we propose an 0-1 integer programming model formulating the optimal subchannel and bit allocation problem of the multiuser OFDM. We employ a dual-decomposition method that provides a tight linear programming (LP) relaxation bound. Simulation results are provided to show the effectiveness of the 0-1 integer programming model. MATLAB simulation on a system employing M-ary quardarature amplitude modulation (MQAM) assuming a frequency-selective channel consisting of three independent Rayleigh multi-paths are carried with the optimal subchannel and bit allocation solution generated by 0-1 integer programming model.

• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.63-70
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• 2011

This paper discusses the problem of scheduling berth and container cranes simultaneously in port container terminals. A mixed-integer programming model is formulated by considering various practical constraints. A heuristic algorithm is suggested for solving the mathematical model. A numerical experiment was conducted to test the performance of the suggested heuristic algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.3
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• pp.339-347
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• 1993

The channel assignment problem in a mobile communication system is a NP-complete combinatorial optimization problem, in which the calculation time increases exponentially as the range of the problem is extended. This paper adapts a conventional Hopfield neural network model to the channel assignment problem to relieve the calculation time by means of the parallelism supplied from the neural network. In the simulation study, we checked the feasability of such a parallel method for the fixed channel assignment with uniform, and nouniform channel requirements, and for the dynamic channel assignment with considering continously varying channel requirements.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.8
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• pp.1981-1986
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• 2014

The problem studied in this paper is the channel routing problem to assign points with p colors on the upper row of the channel to points on the lower row in order to minimize its density. The case that the points on the upper row has an identical color or only two colors is studied in [1, 2]. This paper generalizes that to the points with p colors. First, we consider the problem to determine whether there is an assignment with density less than or equal to d, when an arbitrary d is given. We show that the problem is solved in O(p(n+m)log(n+m)) time. Using this result, we resolve the problem to fine an assignment with a minimum density.