• Title/Summary/Keyword: Mixed Network

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Forward Link Power Allocation and Capacity of IMT-2000 System (IMT-2000 시스템의 순방향 링크 전력할당과 용량유도)

  • Ro, Sang-Min;Kim, In-Kyoung;Kim, Joo-Eung;Daesik Hong;Kang, Chang-Eon;Jung, Hyun-Meen
    • Proceedings of the IEEK Conference
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    • 2000.11a
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    • pp.117-120
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    • 2000
  • This paper discusses solutions for forward link power allocation based on 3GPP(FDD) standardization reports and which meet the required Eb/No of forward link channels. In addition, the forward link user capacity in a mixed service environment. Cell coverage is induced from the user capacity solutions using the urban propagation model. In an urban macrocell environment, the forward link user capacity turns out to be roughly 29 and 3, respectively, for voice and data service (144 kbps) at a distance of 1 km, and in an urban microcell environment, the user capacity turns out to be Toughly 14, 4, and 2, respectively, for voice and two data services (144 kbps, 384 kbps) when the cell radius is 0.2 km.

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Learning Behavior of Virtual Robot using Compensation Signal (보상신호를 수반하는 가상로봇의 학습행위 연구)

  • Hwang, Su-Chul
    • 전자공학회논문지 IE
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    • v.44 no.3
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    • pp.35-41
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    • 2007
  • In this paper we suggest a model that the virtual robot based on artificial intelligence performs learning with compensation signals and compare the leaning speed of the virtual robot according to the compensation method after applying it to three type environments. As a result our model has showed that positive compensation is superior to hybrid one mixed positive and negative if there are enough time for learning in case of more or less complicated environment with the numerous foods, obstacles and robots. Otherwise hybrid method is better than positive one.

Feature Vector Extraction using Time-Frequency Analysis and its Application to Power Quality Disturbance Classification (시간-주파수 해석 기법을 이용한 특징벡터 추출 및 전력 외란 신호 식별에의 응용)

  • 이주영;김기표;남상원
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.619-622
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    • 2001
  • In this paper, an efficient approach to classification of transient and harmonic disturbances in power systems is proposed. First, the Stop-and-Go CA CFAR Detector is utilized to detect a disturbance from the power signals which are mixed with other disturbances and noise. Then, (i) Wigner Distribution, SVD(Singular Value Decomposition) and Fisher´s Criterion (ii) DWT and Fisher´s Criterion, are applied to extract an efficient feature vector. For the classification procedure, a combined neural network classifier is proposed to classify each corresponding disturbance class. Finally, the 10 class data simulated by Matlab power system blockset are used to demonstrate the performance of the proposed classification system.

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A Implementation Method of mixed IPv4/IPv6 Network for Testing Security Vulnerability (보안취약점 테스트를 위한 IPv4/IPv6 혼재 네트워크 구축 방법)

  • Kim Jeong-Wook;Mun Gil-Jong;Kim Yong-Min;Noh Bong-Nam
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2006.06a
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    • pp.477-480
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    • 2006
  • IPv6는 IPv4의 주소 부족을 해결하기 위해 1998년 IETF에서 표준화된 프로토콜이다. 현재 IPv4가 수축으로 되어 있는 인터넷을 동시에 IPv6로 전환하는 것은 불가능하므로 IPv4/IPv6 혼재네트워크를 거쳐 IPv6 순수 망으로 전환될 것이다. 본 논문에서는 혼재네트워크에서 IPv4 망과 IPv6 망간의 통신을 가능하게 해주는 IPv6 전환 메커니즘 중 터널링 방식에 대해 기술하고, 보안 취약성을 테스트하기 위해 동일한 보안 취약성에 대해 각각 IPv4 패킷, IPv6 패킷, 터널링된 패킷을 캡쳐할 수 있는 구축방안을 제안한다. 제안된 방식은 IPv4, IPv6, 터널링 패킷에 대한 분석이 가능하므로 IPv6 지원을 계획하는 침입탐지, 침입차단 시스템에 활용이 가능하다.

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An Efficient Throughput Improvement through Bandwidth Awareness in Cognitive Radio Networks

  • Le, Tung Thanh;Kim, Dong-Seong
    • Journal of Communications and Networks
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    • v.16 no.2
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    • pp.146-154
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    • 2014
  • This paper proposes a bandwidth-aware localized-routing algorithm that is capable of sensing the available spectrum bands within a two-hop neighboring for choosing the highly opportunistic routes. A mixed-integer linear programming (MILP) is utilized to formulate the optimization problem. Then, the proposed algorithm is used to determine the maximum bandwidth possible of link pairs via a bandwidth approximation process of relaxed variables. Thereby, the proposed algorithm can allow selected routes corresponding to maximum bandwidth possible between cognitive radio (CR) users through link pairs in cognitive radio networks. By comparing the solution values to previous works, simulation results demonstrate that the proposed algorithm can offer a closed-optimal solution for routing performance in cognitive radio networks. The contribution of this paper is achieved through approximately 50% throughput utilized in the network.

Using the GA in the Public-Transportation Route-selection Process

  • JUN, Chul-min
    • Korean Journal of Geomatics
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    • v.3 no.2
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    • pp.123-128
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    • 2004
  • As the applied fields of GIS are expanded to the transportation, developing internet-based applications for transportation information is getting attention increasingly. Most applications developed so far are primarily focused on guidance systems for owner-driven cars. Although some recent ones are devoted to public transportation systems, they show limitations in dealing with the following aspects: (i) people may change transportation means not only within the same type but also among different modes such as between buses and subways, and (ii) the system should take into account the time taken in transfer from one mode to the other. This study suggest the framework for developing a public transportation guidance system that generates optimized paths in the transportation network of mixed means including buses, subways and other modes. For this study, the Genetic Algorithms are used to find the best routes that take into account transfer time and other service-time constraints.

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A Study on the Method for Activation of Cyber Class by Classification of Contents (콘텐츠 분류에 따른 사이버 수업 활성화 방안에 관한 연구)

  • Kim, kyung-hee
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.920-923
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    • 2007
  • Cyber Educations of University are increasing in development of Contents and spreading Internet Network. We need to classify a cyber education by the type, and analyze environment. In addition, We need a measurement of effectiveness and the research of method for activation of cyber education. In this paper, we classify into partial cyber which is mixed face-to face lecture and cyber lecture and full cyber which is organized all cyber lecture, and investigate a satisfaction of learner. We analysis also the problem in cyber classes according to their types, and propose a plan for activation.

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A Study on Pattern Characteristics of Multi-Defect Partial Discharge (다중결함 부분방전의 패턴특성 연구)

  • Lee, June-Ho
    • Proceedings of the KIEE Conference
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    • 1998.11c
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    • pp.970-972
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    • 1998
  • In practice, there may be various defects in an insulating system, so that the PD signals can be produces from these defect simultaneously. Regarding these situations, we have to discriminate the type of defect as well as to determine whether the PD occurs or not. In our research. some analysis results of the PD signals from multi-defects insulating system will be presented. We measure the PD signals using three kind of electrode system: IEC(b). Needle-Plane and mixed electrodes. To simulate multi-defect systems, we combine two electrode systems and apply test voltage simultaneously. Neural network, statistical analysis methods will be tested, and the possibilities and limitations of each method will be clarified.

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An Algorithm for Pattern Classification of ECG Signals Using Frame Knowledge Representation Technique (게임 지식 표현 기법을 이용한 심전도 신호의 패턴해석 알고리즘에 관한 연구)

  • 신건수;이병채;정희교;이명호
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.4
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    • pp.433-441
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    • 1992
  • This paper describes an algorithm that can efficiently analyze the ECG signal using frame knowledge representation technique. Input to the analysis process is a set of significant points which have been extracted from an original sampled signal(lead II) by the syntactic peak recognition algorithm. The hierarchical property of ECG signal is represented by hierarchical AND/OR graph. The semantic information and constraints of the ECG signal are desctibed by frame. As the control mechanism for labeling points, the search mechanism with the mixed paradigms of data-driven and model driven hypothesis formation, scoring function, hypothesis modification network and instance inheritance are used. We used the CSE database in order to evaluate the performance of the proposed algorithm.

Genetic Algorithm for Improving the survivability of Self-Adaptive Network Processor (적응생존형 네트워크 프로세서의 생존성 향상을 위한 유전알고리즘의 이용)

  • Won, Joo-Ho;Yoon, Hong-Il
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.11a
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    • pp.703-706
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    • 2004
  • 공정기술의 발달과 컴퓨터 구조적인 발전에 의해서, 시스템의 동작속도가 기하급수적으로 증가하고 있다. 동작속도의 증가는 CMOS로 구현된 chip의 RC 특성에 의해서 timing variation 문제가 발생할 가능성이 높아지면서 테스트 비용이 전체 설계비용에서 차지하게 되는 비중이 급격하게 증가하고 있다. 따라서 온라인 테스트와 진화하드웨어 등이 테스트 비용감소를 위해서 연구되고 있다. 본 논문에서는 네트워크프로세서의 생존성을 위해서, 패킷엔진의 pipline의 각 stage사이의 clock slack borrowing을 이용해서 timing variation 문제를 자체적으로 해결할 수 있다는 것을 mixed-mode simulation을 통해서 통합 검증하였다. 또한 기존의 off-chip 진화하드웨어에 비해서 on-chip구현을 통해서 진화하드웨어의 성능향상과 메모리에 의해서 발생하는 overhead를 감소시키는 것이 가능함을 확인했다.

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