• 한국인터넷방송통신학회논문지
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• 제9권4호
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• pp.87-97
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• 2009

A Mobile Ad hoc Network (MANET) is characterized by multi-hop wireless connectivity, frequently changing network topology with mobile nodes and the efficiency of the dynamic routing protocol plays an important role in the performance of the network. In this paper, the performance of five routing protocols for MANET is compared by using OPNET modeler: AODV, DSR, GRP, OLSR and TORA. The various performance metrics are examined, such as packet delivery ratio, end-to-end delay and routing overhead with varying data traffic, number of nodes and mobility. In our simulation results, OLSR shows the best performance in terms of data delivery ratio in static networks, while AODV has the best performance in mobile networks with moderate data traffic. When comparing proactive protocols (OLSR, GRP) and reactive protocols (AODV, DSR) with varying data traffic in the static networks, proactive protocols consistently presents almost constant overhead while the reactive protocols show a sharp increase to some extent. When comparing each of proactive protocols in static and mobile networks, OLSR is better than GRP in the delivery ratio while overhead is more. As for reactive protocols, DSR outperforms AODV under the moderate data traffic in static networks because it exploits caching aggressively and maintains multiple routes per destination. However, this advantage turns into disadvantage in high mobility networks since the chance of the cached routes becoming stale increases.

• 조명전기설비학회논문지
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• 제28권1호
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• pp.79-87
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• 2014

With the increase of demand for electricity power, new construction and expansion of transmission lines for transport have been required. However, it has been difficult to be realized by such opposition from environmental groups and residents. Therefore, the development of techniques for effective use of existing transmission lines is more needed. In this paper, the major variables to affect the allowable transmission capacity in an overhead transmission lines were selected and the dynamic line rating (DLR) method using artificial neural networks reflecting unique environment-heat properties was proposed. To prove the proposed method, the analyzed results using the artificial neural network were compared with the ones obtained from the existing method. The analyzed results using the proposed method showed an error of 0.9% within ${\pm}$, which was to be practicable.

• 한국통신학회논문지
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• 제36권10A호
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• pp.823-829
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• 2011

최근 무선 인체 네트워크 (WBAN)는 유비쿼터스 헬스케어 시스템에의 활용으로 주목 받고 있다. WBAN에서는 인체에 부착 되거나 이식되는 센서 노드와 PDA와 같은 휴대용 개인 베이스 스테이션 (BS)의 에너지 제약이 있고, 이 장치들의 제한된 계산 능력과 메모리 때문에 노드들이 수행하는 계산의 복잡도를 최대한 줄여야만 한다. 또한 생체 신호를 다루기 때문에 신뢰성 있는 데이터 전송이 필수적이다. 본 논문에서는 네트워크 코딩 오버헤드를 줄이고 에너지 효율을 높이기 위해 WBAN을 위한 시스테매틱 (systematic) 네트워크 코딩 기법을 제안한다. 제안하는 시스템을 마코프 체인 (Markov chain)을 이용해 모델링 하고 모든 노드가 BS로의 데이터 패킷 전송을 완료하는데 까지 소모되는 에너지를 최소화 하는 것을 최적화 문제로 정의 하였다. 다양한 환경에서 시뮬레이션을 수행 한 결과 기존의 전송 방법과 비교 했을 때 에너지 효율을 얻는 것을 보였다. 또한 기존의 WBAN에서의 네트워크 코딩의 디코딩 과정 보다 계산 복잡도가 낮아 네트워크 코딩으로 인한 계산 오버헤드를 줄였다.

• 한국멀티미디어학회논문지
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• 제11권6호
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• pp.860-868
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• 2008

Human detection techniques in outdoor scenes have been studied for a long time to watch suspicious movements or to keep someone from danger. However there are few methods of human detection in overhead or near-field view scenes, while lots of human detection methods in far-field view scenes have been developed. In this paper, a set of five features useful for human detection in overhead view scenes and another set of four useful features in near-field view scenes are suggested. Eight feature-candidates are first extracted by analyzing geometrically varying characteristics of moving objects in samples of video sequences. Then highly contributed features for each view scene to classifying human from other moving objects are selected among them by using a neural network learning technique. Through experiments with hundreds of moving objects, we found that each set of features is very useful for human detection and classification accuracy for overhead view and near-field view scenes was over 90%. The suggested sets of features can be used effectively in a PTZ camera based surveillance system where both the overhead and near-field view scenes appear.

• 한국철도학회논문집
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• 제19권3호
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• pp.314-323
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• 2016

직류 전철변전소의 가선전압은 전동차들의 회생제동 및 역행가속패턴에 따라 급격히 상승 또는 하강하는 특성을 갖는다. 가선전압 순시 변동폭을 최소로 유지함으로써, 전철변전소와 전동차들의 에너지 효율을 개선시키기 위한 다양한 연구들이 이루어지고 있다. 본 논문은 직류전철 변전소의 가선전압의 급격한 변동특성을 모델링하고 선형인공 신경망 알고리즘을 이용한 가선전압 회로모델의 파라메터 추정 방법을 제안하며, 최소자승법을 이용한 추정방법과의 비교를 통해 이 방법의 타당성을 입증한다. 가선전압 및 피더전류들의 누적 측정값을 사용하여 일괄처리 최소자승법으로 RC 병렬회로의 파라메터들을 추정한 결과를 제시하며, 실시간 가선전압 및 피더전류 측정값을 이용하여 오차역 전파방식으로 학습되는 선형인공신경망 기법 추정 결과를 분석한다.

• 정보처리학회논문지A
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• 제14A권4호
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• pp.215-226
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• 2007

지난 수년간 저가의 공유메모리(Shared Memory) 시스템을 개발하기 위한 방법으로 빠른 상호 연결 네트워크를 이용한 DVSM(Distributed Virtual Shared Memory) 시스템의 구조에 관한 연구가 활발하게 진행되어 왔다. 그러나 DVSM은 소프트웨어 적으로 메모리 일관성을 유지하기 때문에 분산 처리 노드간의 많은 데이터 및 제어 신호 통신이 요구되며 이러한 통신 과부하(overhead)가 전체 성능 향상을 결정짓는 요인으로 작용한다. 일반적으로 프로세싱 노드의 수가 증가하면 통신 과부하도 따라서 증가하기 때문에 통신 과부하는 대용량(large-scale)의 DVSM을 구현하는데 매우 중요한 성능 요인이다. 이 논문에서는 차세대 상호 연결 기술 중 하나인 InfiniBand를 기반으로 대용량 DVSM 시스템을 구현하기 위한 성능 확장성을 정량적 및 정성적으로 연구하였다. 또한 이 연구를 바탕으로 성능 확장성이 뛰어난 DVSM 시스템을 개발하기 위한 차세대 상호 연결 네트워크의 요구 성능을 분석하였다.

• ETRI Journal
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• 제24권6호
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• pp.473-476
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• 2002

This letter proposes an efficient kernel-based partitioning algorithm for reducing area and power dissipation in combinational circuit designs using don't-care sets. The proposed algorithm decreases power dissipation by partitioning a given circuit using a kernel extracted from the logic. The proposed algorithm also reduces the area overhead by minimizing duplicated gates in the partitioned sub-circuits. The partitioned subcircuits are further optimized utilizing observability don't-care sets. Experimental results for the MCNC benchmarks show that the proposed algorithm synthesizes circuits that on the average consume 22.5% less power and have 12.7% less area than circuits generated by previous algorithms based on a precomputation scheme.

• Journal of information and communication convergence engineering
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• 제10권4호
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• pp.343-348
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• 2012

ZigBee Network is enabling technology for home automation, surveillance and monitoring system. For better secure network environment, secure and robust security model is important. The paper proposes an application, attribute-based proxy re-encryption on ZigBee networks. The method can distribute the authority to designated sensor nodes to decrypt re-encrypted ciphertext with associated attributes. However, a previous method is required to compute complex pairing operations. The high complexity is not suited to low resource device sensor networks, and it does not provide routing security either. To resolve these problems, we present a novel mechanism. The method can reduce overhead by imposing overhead to full function devices and ensure routing paths as well.

• Journal of Communications and Networks
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• 제10권1호
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• pp.38-43
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• 2008

In this paper, adaptive channel borrowing approach fuzzy neural networks for load balancing (ACB-FNN) is presented to maximized the number of served calls and the depending on asymmetries traffic load problem. In a wireless network, the call's arrival rate, the call duration and the communication overhead between the base station and the mobile switch center are vague and uncertain. A new load balancing algorithm with cell involved negotiation is also presented in this paper. The ACB-FNN exhibits better learning abilities, optimization abilities, robustness, and fault-tolerant capability thus yielding better performance compared with other algorithms. It aims to efficiently satisfy their diverse quality-of-service (QoS) requirements. The results show that our algorithm has lower blocking rate, lower dropping rate, less update overhead, and shorter channel acquisition delay than previous methods.

• Journal of Communications and Networks
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• 제5권3호
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• pp.202-214
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• 2003

The central challenge in the design of ad-hoc networks is the development of dynamic routing protocol that efficiently finds route between mobile nodes. Several routing protocols such as DSR, AODV and DSDV have been proposed in the literature to facilitate communication in such dynamically changing network topology. In this paper, a Node Transition Probability (NTP) based routing algorithm, which determines stable routes using the received power from all other neighboring nodes is proposed. NTP based routing algorithm is designed and implemented using Global Mobile Simulator (GloMoSim), a scalable network simulator. The performance of this routing algorithm is studied for various mobility models and throughput, control overhead, average end-to-end delay, and percentage of packet dropped are compared with the existing routing protocols. This algorithm shows acceptable performance under all mobility conditions. The results show that this algorithm maximizes the bandwidth utilization during heavy traffic with lesser overhead.