• Title/Summary/Keyword: Pass Network

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A Study on Methodology for Protection of Malicious Traffic in Groupware Network System (그룹웨어시스템상의 악성트래픽 차단 네트워크구조 설계방법)

  • Noh, Si-Choon;Bang, Kee-Chun
    • Journal of Digital Contents Society
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    • v.8 no.1
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    • pp.69-76
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    • 2007
  • The blocking of malicious traffic in groupware network system is used to prevent the spread and distribution of malicious traffic. The method protecting from malicious traffic in groupware system is designed to handle the malicious traffic of various routes with the internal course of groupware, which leads to lighten the load of security and traffic. It was impossible to block this kind of traffic at the traditional structure. When the protection of the proposed groupware system is performed, there appears to be a great change for the rate of a load factor at the CPU of Backbone Switch which is connected to the internal gateway. The load factor of CPU, which was increased with the traffic, is now remarkably reduced after the internal gateway is set up. This is to show that a lot of malicious traffic pass through the internal network and that network environment is faced to the menace of many malicious traffics. This paper is to show the efficiency of protection of internal gateway proposed in this study, for the rate of CPU of Backbone Switch was about 17% a day, but was dropped up to the 4% after the malicious traffic was removed.

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Artificial Traffic Light using Fuzzy Rules and Neural Network

  • Hong, You-Sik;Jin, Hyun-Soo;Jeong, Kwang-Son;Park, Chong-Kug
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.591-595
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    • 1998
  • This paper proposes a new concept of optimal shortest path algorithm which reduce average vehicle wating time and improve average vehicle speed, Electro sensitive traffic system can extend the traffic cycle when three are many vehicles on the road or it can reduce the traffic cycle when there are small vehicles on the road. But electro sensitive traffic light system doesn't control that kind of function when the average vehicle speed is 10km -20km. Therefore, in this paper to reduce vehicle waiting time we developed design of traffic cycle software tool that can arrive destinination as soon as possible using optimal shortest pass algorithm. Computer simulation result proved 10%-32% reducing average vehicle wating time and average vehicle speed which can select shortest route using built in G.P.S. vehicle is better than not being able to select shortest route function.

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Feedwater Flow Rate Evaluation of Nuclear Power Plants Using Wavelet Analysis and Artificial Neural Networks (웨이블릿 해석과 인공 신경회로망을 이용한 원자력발전소의 급수유량 평가)

  • Yu, Sung-Sik;Seo, Jong-Tae;Park, Jong-Ho
    • 유체기계공업학회:학술대회논문집
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    • 2002.12a
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    • pp.346-353
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    • 2002
  • The steam generator feedwater flow rate in a nuclear power plant was estimated by means of artificial neural networks with the wavelet analysis for enhanced information extraction. The fouling of venturi meters, used for steam generator feedwater flow rate in pressurized water reactors, may result in unnecessary plant power derating. The backpropagation network was used to generate models of signals for a pressurized water reactor. Multiple-input single-output heteroassociative networks were used for evaluating the feedwater flow rate as a function of a set of related variables. The wavelet was used as a low pass filter eliminating the noise from the raw signals. The results have shown that possible fouling of venturi can be detected by neural networks, and the feedwater flow rate can be predicted as an alternative to existing methods. The research has also indicated that the decomposition of signals by wavelet transform is a powerful approach to signal analysis for denoising.

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Fault Detection of Reciprocating Compressor for Small-Type Refrigerators Using ART-Kohonen Networks and Wavelet Analysis

  • Yang, Bo-Suk;Lee, Soo-Jong;Han, Tian
    • Journal of Mechanical Science and Technology
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    • v.20 no.12
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    • pp.2013-2024
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    • 2006
  • This paper proposes a condition classification system using wavelet transform, feature evaluation and artificial neural networks to detect faulty products on the production line of reciprocating compressors for refrigerators. The stationary features of vibration signals are extracted from statistical cumulants of the discrete wavelet coefficients and root mean square values of band-pass frequencies. The neural networks are trained by the sample data, including healthy or faulty compressors. Based on training, the proposed system can be used on the automatic mass production line to classify product quality instead of people inspection. The validity of this system is demonstrated by the on-site test at LG Electronics, Inc. for reciprocating compressors. According to different products, this system after some modification may be useful to increase productivity in different types of production lines.

Balanced Cluster-based Multi-hop Routing in Sensor Networks (센서 네트워크의 균등분포 클러스터 기반 멀티홉 라우팅)

  • Wu, Mary
    • Journal of Korea Multimedia Society
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    • v.19 no.5
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    • pp.910-917
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    • 2016
  • Sensors have limited resources in sensor networks, so efficient use of energy is important. Representative clustering methods, LEACH, LEACHC, TEEN generally use direct transmission methods from cluster headers to the sink node to pass collected data. However, the communication distance of the sensor nodes at low cost and at low power is not long, it requires a data transfer through the multi-hop to transmit data to the sink node. In the existing cluster-based sensor network studies, cluster process and route selection process are performed separately in order to configure the routing path to the sink node. In this paper, in order to use the energy of the sensor nodes that have limited resources efficiently, a cluster-based multi-hop routing protocol which merges the clustering process and routing process is proposed. And the proposed method complements the problem of uneven cluster creation that may occur in probabilistic cluster methods and increases the energy efficiency of whole sensor nodes.

Double-Frequency Jitter in Chain Master-Slave Clock Distribution Networks: Comparing Topologies

  • Piqueira Jose Roberto Castilho;Caligares Andrea Zaneti
    • Journal of Communications and Networks
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    • v.8 no.1
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    • pp.8-12
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    • 2006
  • Master-slave (M-S) strategies implemented with chain circuits are the main option in order to distribute clock signals along synchronous networks in several telecommunication and control applications. Here, we study the two types of masterslave chains: Without clock feedback, i.e., one-way master-slave (OWMS) and with clock feedback, i.e., two-way master-slave (TWMS) considering the slave nodes as second-order phase-locked loops (PLL) for several types of loop low-pass filters.

Development of Monitoring System for Inspection of Polarization Optical Fiber (편광 유지형 광섬유의 검사 모니터링 시스템 개발)

  • Kim, Jae-Yoel;Lim, Jong-Han
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.5
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    • pp.145-150
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    • 2007
  • Optical communication according to request of technology of communications and optical fiber to be full filed faster communication and pass over transmission capacity limit per unit area, per unit hour appeared, and this optical fiber acts the biggest role to influence performance of optical communication network. Optical fiber(PMF Polarization Maintaining Fiber) is used, and is used by electric field measurement, self-discipline measurement, sensor(Sensor) Department by high definition measure such as thermometry and storehouse component that use because make broad sense status and polarized light information in passageway and union with storehouse integrated circuit etc. that use broad sense interference developing could transmit in state that keep transmitting broad sense plane of polarization is polarized light existence. Also, research is developed by optical fiber for Coherent communication recently.

A study on the development of ADEX (ADEX 개발에 관한 연구)

  • Oh, Jae-Eung;Shin, Joon;Hahn, Chang-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.453-456
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    • 1992
  • Diagnostic prototype expert system was developed by analyzing the measured acoustical data of automobile. For the utilities of this system, 1/3 octave filter(band-pass filter) and A/D converter were used for data acquisition and then information was analyzed using signal processing technique and pattern recognition by Hamming network algorithm. In order to raise the reliability of the diagnostic results, fuzzy inference technique was applied and, the results were displayed as graphical method to help the novice in diagnostic field. The validation of this diagnostic system was checked through experiments and it showed and acceptable performance for diagnostic process.

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An enhanced unicast of ODMRP scheme for Ad-hoc Networks (Ad-hoc 망에서 유니캐스트 성능 향상을 위한 개선된 ODMRP)

  • 백경호;박재우;이제원;이균하
    • Proceedings of the IEEK Conference
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    • 2003.07a
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    • pp.157-160
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    • 2003
  • ODMRP is protocol that support multicast and unicast in Ad-hoc network. When some one node must transmit data by unicast way in this ODMRP, must pass through periodic flooding process to find a path and overhead happens thereby. Our scheme stores the found path into the table in a unicast mode and, when the node sends data, it refers to the DR FG table so that reduces the traffic caused by control packets(JOIN QUERY, JOIN REPLY) of a receiver node, while source/destination nodes flood periodic control packets to look for a path in ODMRP. We present that our scheme is much more improved on the time of looking for a path than existing ODMRP methods by means of the simulation.

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Design of an Acoustic band Interpolator for Underwater Sensor Nodes (수중 센서 노드를 위한 음파 대역 인터폴레이터 설계)

  • Kim, Sunhee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.1
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    • pp.93-98
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    • 2020
  • Research on underwater sensor networks is increasing due to such reasons as marine resource management, maritime disaster prediction and military protection. Many underwater sensor networks performs wireless communication using an acoustic sound wave band signal having a relatively low frequency. So the digital part of their modem can take charge of carrier band signal processing. To enable this, the sampling rate of the baseband band signal should be increased to a sampling rate at which carrier band signal processing is possible. In this paper, we designed a sampling rate increasing circuit based on a CIC interpolator for underwater sensor nodes. The CIC interpolator has a simple circuit structure. However, since the CIC interpolator has a large attenuation of the pass band and a wide transition band, an inverse sinc LPF is added to compensate for frequency response of the CIC interpolator. The proposed interpolator was verified in time domain and frequency domain using ModelSim and Matlab.