• 제목/요약/키워드: Network capabilities

검색결과 668건 처리시간 0.028초

신경회로망 데이터 연관 알고리즘에 근거한 다중표적 추적 시스템 (Multi-Target Tracking System based on Neural Network Data Association Algorithm)

  • 이진호;류충상;김은수
    • 전자공학회논문지A
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    • 제29A권11호
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    • pp.70-77
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    • 1992
  • Generally, the conventional tracking algorithms are very limited in the practical applications because of that the computation load is exponentially increased as the number of targets being tracked is increase. Recently, to overcome this kind of limitation, some new tracking methods based on neural network algorithms which have learning and parallel processing capabilities are introduced. By application of neural networks to multi-target tracking problems, the tracking system can be made computationally independent of the number of objects being tracked, through their characteristics of massive parallelism and dense interconnectivity. In this paper, a new neural network tracking algorithm, which has capability of adaptive target tracking with little increase of the amount of calculation under the clutter and noisy environments, is suggested and the possibility of real-time multi-target tracking system based on neural networks is also demonstrated through some good computer simulation results.

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신경회로망을 이용한 산업용 매니퓰레이터의 견실성 해석 (Robustness Analysis of Industrial Manipulator Using Neural-Network)

  • 이진
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1997년도 춘계학술대회 논문집
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    • pp.125-130
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    • 1997
  • In this paper, it is presents a new approach to the design of neural control system using digital signal processors in order to improve the precision and robustness. Robotic manipulators have become increasingly important in the field of flexible automation. High speed and high-precision trajectory tracking are indispensable capabilities for their versatile application. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The TMS320C3x is used in implementing real time neural control to provide an enhanced motion control for robotic manipulators. In this control scheme, the networks introduced are neural nets with dynamic neurons, whose dynamics are distributed over all the network nodes. The nets are trained by the distributed dynamic back propagation algorithm. The proposed neural network control scheme is simple in structure, fast in computation, andsuitable for implementation of robust control.

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PON 시스템 감시 모니터용 PLC 소자 (A study on monitor filter PLC monitor device PON system)

  • 최영복;박수진;고석봉;이봉영
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2007년도 학술대회
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    • pp.22-26
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    • 2007
  • In the fibre to the home (FTTH) era, it is expected that broadband network provisioning will require thousands of optical fibres to be accommodated in a central office for optical access networks. An optical fibre line testing system could be used to reduce maintenance costs and improve service availability depending on the PON's element manager capabilities and the maintenance procedures adopted by the network supplier. When monitoring optical fibres transmitting communication lights, a wavelength of 1625 nm is used for maintenance testing. The splitter installed optical filters allow the communication light to pass but that cut off the test light in the front of optical line terminals (OLTs) and optical network terminals (ONTs). In the economic point of view, We design new planer lightwave circuit splitter embedded filtter and study it optical property.

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한국과 미국간 항공기 탑승객 수 예측을 위한 뉴럴네트웍의 응용

  • 남경두
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1995년도 추계학술대회발표논문집; 서울대학교, 서울; 30 Sep. 1995
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    • pp.334-343
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    • 1995
  • In recent years, neural networks have been developed as an alternative to traditional statistical techniques. In this study, a neural network model was compared to traditional forecasting models in terms of their capabilities to forecast passenger traffic for flights between U.S. and Korea. The results show that the forecasting ability of the neural networks was superior to the traditional models. In terms of accuracy, the performance of the neural networks was quite encouraging. Using mean absolute deviation, the neural network performed best. The new technique is easy to learn and apply with commercial neural network software. Therefore, airline decision makers should benefit from using neural networks in forecasting passenger loads.

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A Simple Energy Harvesting Algorithm for Wireless Sensor Networks

  • Encarnacion, Nico N.;Yang, Hyunho
    • Journal of information and communication convergence engineering
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    • 제10권4호
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    • pp.359-364
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    • 2012
  • Harvesting energy from the environment is essential for many applications to slow down the deterioration of energy of the devices in sensor networks and in general, the network itself. Energy from the environment is an inexhaustible supply which, if properly managed and harvested from the sources, can allow the system to last for a longer period - more than the expected lifetime at the time of deployment, or even last indefinitely. The goal of this study is to develop a simple algorithm for ns-2 to simulate energy harvesting in wireless sensor network simulations. The algorithm is implemented in the energy module of the simulator. Energy harvesting algorithms have not yet been developed for ns-2. This study will greatly contribute to the existing knowledge of simulating wireless sensor networks with energy harvesting capabilities in ns-2. This paper will also serve as a basis for future research papers that make use of energy harvesting.

센서 네트워크를 위한 지능형 데이터 유효화 기법의 개발 (Development of Intelligent Data Validation Scheme for Sensor Network)

  • 육의수;김성호
    • 제어로봇시스템학회논문지
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    • 제13권5호
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    • pp.481-486
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    • 2007
  • Wireless Sensor Network(WSNs) consists of small sensor nodes with sensing, computation, and wireless communication capabilities. The large number of sensor nodes in a WSN means that there will often be some nodes which give erroneous sensor data owing to several reasons such as power shortage and transmission error. Generally, these sensor data are gathered by a sink node to monitor and diagnose the current environment. Therefore, this can make it difficult to get an effective monitoring and diagnosis. In this paper, to overcome the aforementioned problems, intelligent sensor data validation method based on PCA(Principle Component Analysis) is utilized. Furthermore, a practical implementation using embedded system is given to show the feasibility of the proposed scheme.

지능형 자동차의 사용자 인증에 대한 위협 및 대응 기법 (User Authentication Risk and Countermeasure in Intelligent Vehicles)

  • 김승환;이근호
    • 한국융합학회논문지
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    • 제3권1호
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    • pp.7-11
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    • 2012
  • 지능형 자동차의 최종 목표는 사고 위험이 전혀 없는 무인 자동차이다. 지능형 자동차의 구현을 위해서는 무선 네트워크 데이터 통신 기술이 중요하다. 본 논문에서는 데이터 통신 기술이 구현이 되었을 때를 가정하여 네트워크 침입 기술에 대해 알아보고, 사용자 인증 및 데이터 위 변조시 그에 따른 보안 취약점과 그에 따른 대응기법을 생체인식 알고리즘 통해 적용하고자 한다. 확실한 사용자 인증 기법과 데이터 전송 기술에 대한 암호화를 통해 더욱 더 안전한 대응 기법을 제안하고자 한다.

Embedded Linux 기반의 내장형 프린터 서버 (An Onboard Printer Server Based on Embedded Linux)

  • 차경환
    • 한국정보통신학회논문지
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    • 제13권2호
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    • pp.309-314
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    • 2009
  • 기존 사무 환경에서 개인 PC를 이용하여 네트워크를 통해 프린터를 공유하는 경우 프린터와 직접 연결된 PC에 상당한 과부하가 발생한다. 프린터에 직접 연결된 PC 사용자는 개인 작업 시 이러한 과부하로 인해 불편함이 발생하게 된다. 본 논문에서는 이와 같은 문제점을 해결하고, 사무실 구성원들이 네트워크를 통해 원할 한 프린터 작업을 수행할 수 있도록 프린터 서버 역할을 수행 하는 Embedded Linux 기반의 Embedded Printer System을 구현 하였으며, 실제 환경에서 실험을 거쳐 성능을 검증하였다.

Electrical Technologies for Grid Integration of Ocean Wave Power into the UK National Grid

  • Ahmed, Tarek
    • Journal of Power Electronics
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    • 제10권3호
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    • pp.320-327
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    • 2010
  • In this paper, multiple offshore wave energy converters with different output characteristics are connected to one power distribution substation. The connection between the power take-off of the different wave energy converters and the electrical power transmission system is presented in order to investigate whether multiple wave energy converters can augment energy yield and improve network integration capabilities. Moreover, the model of an array of wave energy converters is developed with the goal of analyzing the effects of the offshore wave farm on the electrical network to which it is connected. It is also developed to ensure that the electricity generated by the array is sufficiently controllable, and of a quality that can be integrate into the electricity supply network without unduly increasing the cost of connection, production or delivery.

Group Key Exchange over Combined Wired and Wireless Networks

  • Nam, Jung-Hyun;Won, Dong-Ho
    • Journal of Communications and Networks
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    • 제8권4호
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    • pp.461-474
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    • 2006
  • A group key exchange protocol is a cryptographic primitive that describes how a group of parties communicating over a public network can come up with a common secret key. Due to its significance both in network security and cryptography, the design of secure and efficient group key exchange protocols has attracted many researchers' attention over the years. However, despite all the efforts undertaken, there seems to have been no previous systematic look at the growing problem of key exchange over combined wired and wireless networks which consist of both stationary computers with sufficient computational capabilities and mobile devices with relatively restricted computing resources. In this paper, we present the first group key exchange protocol that is specifically designed to be well suited for this rapidly expanding network environment. Our construction meets simplicity, efficiency, and strong notions of security.