• Title/Summary/Keyword: Network measurement

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Measurement based Traffic Generator for Network Game (트래픽 측정에 기반한 네트워크 게임 트래픽 생성기)

  • Eunsil Hong;Jaecheol Kim;Yanghee Choi
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10c
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    • pp.49-51
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    • 2003
  • Developers of network games have used several prediction techniques for hiding transmission delay to support the real­time requirement of network games. Nowadays many researches that are related with network game are in progress to solve delay problems more radically, such as to propose new routers architecture and transport protocols suitable to characteristics of network game traffic. So for these advanced researches the tasks to grasp the traffic characteristics of a network game are needed. In this paper we aimed to capture the traffic of MMORPG and present the statistical analysis of measured data. The measurement and the analysis were accomplished with the server of 'Lineage' that regarded as the most successful MMORPG. Next, we have implemented a traffic generator that reflects the characteristics of MMORPG and shown that the trace generated by MMORPG traffic generator had identical characteristics with actual traffic using statistical testing method. We expect that this traffic generator can be used in many researches related with a network game.

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Bridge-edges Mining in Complex Power Optical Cable Network based on Minimum Connected Chain Attenuation Topological Potential

  • Jiang, Wanchang;Liu, Yanhui;Wang, Shengda;Guo, Jian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.3
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    • pp.1030-1050
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    • 2021
  • The edges with "bridge characteristic" play the role of connecting the communication between regions in power optical cable network. To solve the problem of mining edges with "bridge characteristic" in provincial power optical cable network, the complex power optical cable network model is constructed. Firstly, to measure the generated potential energy of all nodes in n-level neighborhood local structure for one edge, the n-level neighborhood local structure topological potential is designed. And the minimum connected chain attenuation is designed to measure the attenuation degree caused by substituted edges. On the basis of that, the minimum connected chain attenuation topological potential based measurement is designed. By using the designed measurement, a bridge-edges mining algorithm is proposed to mine edges with "bridge characteristic". The experiments are conducted on the physical topology of the power optical cable network in Jilin Province. Compared with that of other three typical methods, the network efficiency and connectivity of the proposed method are decreased by 3.58% and 28.79% on average respectively. And the proposed method can not only mine optical cable connection with typical "bridge characteristic" but also can mine optical cables without obvious characteristics of city or voltage, but it have "bridge characteristic" in the topology structure.

Measurement of thermal properties by TPS-technique and thermal network analysis (TPS를 통한 열물성치 획득 및 네트워크모델을 이용한 열해석)

  • Yun, Tae-Sup;Kim, Young-Jin
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.09a
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    • pp.263-268
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    • 2010
  • Thermal characterization of geomaterials has significant implication on the geothermal energy, disposal of nuclear wastes, geological sequestration of carbon dioxides and recovery of hydrocarbon resources. Heat transfer in multiphase materials is dominated by the thermal conductivity of consisting components, porosity, degree of saturation and overburden pressure, which have been investigated by the empirical correlation at macro-scale. The thermal measurement by Transient Plane Source (TPS) and associated algorithm for interpretation of thermal behavior in geomaterials corroborate the robustness of sensing techniques. The method simultaneously provides thermal conductivity, diffusivity and volumetric heat capacity. The newly introduced thermal network model enables estimating thermal conductivity of geomaterials subjected to the effective stress, which has not been evaluated using previous thermal models. The proposed methods shows the applicability of reliability of TPS technique and thermal network model.

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A Fault Section Detection Algorithm to use ZCT in Ungrounded Distribution Network (ZCT를 이용한 비접지계통에서의 사고유형별 사고구간 검출 알고리즘)

  • Lim, Il-Hyung;Choi, Myeon-Song;Lee, Seung-Jae;An, Tae-Poong;Yun, Jun-Seok
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.107_108
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    • 2009
  • In this paper, a fault section detection algorithm to be considered variety measurement devices is proposed in ungrounded diatribution network. Ungrounded network is different from grounded netork. It's that a fault current doesn't generate when a single grounded fault by characteristic of ungrounded network. So, a fault section detection is very difficult. Thus, in this paper, a fault section detection method is proposed by data from variety measurement devices. The method is proved by matlap simulink.

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Fabrication and Measurement of a Micro strip-Array Antenna for the Electronic Toll Collection System (ETCS)

  • Yoon, Joong-Han;Lee, Sang-Mok;Lee, Hwa-Choon;Kwak, Kyung-Sup;Chun, Su-Mi;Byun, Woo-Sub;Jung, Myung-Nam;Shin, Dong-Hun
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.723-726
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    • 2002
  • This paper describes the design, fabrication, and measurement of a sequential-rotation microstrip-array antenna for the Electronic Toll Collection System (ETCS). The ETCS is made possible by using roadside equipment with radiation pattern that can accurately pinpoint the designated communication area, without interference from other lanes. The sequential-rotation microstrip-array antenna was applied to the absorber to reduce the side lobe level (SLL). Results showed that the antenna yields a return loss at a center frequency of -20.675 dB, an axial ratio of 1.15 dB, and a gain of 20.26 dBi.

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Development of integrated marine monitoring network on southern coastline of Caspian sea

  • Najafi-Jilani, A.;Nik-Khah, A.
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.3 no.2
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    • pp.136-140
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    • 2011
  • Monitoring of water surfaces through permanent measurement of hydrodynamic and meteorological data is one of the main requirements in safe and sustainable water management. The Caspian Sea, the major surface water body in Iran, significantly affects more than 600 km of urban and industrial coastline. In the present work, an integrated marine monitoring network for the entire southern coastline of the Caspian Sea was developed. The main design concerns centered on the network measuring components and data recording, checking, filtering, gap recognition, and transferring systems. Four coastal monitoring stations were assigned, along with two regional collecting stations and one central data station for gathering, checking and delivering recorded data at different access levels. Applicable guidelines on selection of measuring devices for both shallow and deep water zones are presented herein.

Tensile Properties Estimation Method Using Convolutional LSTM Model

  • Choi, Hyeon-Joon;Kang, Dong-Joong
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.43-49
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    • 2018
  • In this paper, we propose a displacement measurement method based on deep learning using image data obtained from tensile tests of a material specimen. We focus on the fact that the sequential images during the tension are generated and the displacement of the specimen is represented in the image data. So, we designed sample generation model which makes sequential images of specimen. The behavior of generated images are similar to the real specimen images under tensile force. Using generated images, we trained and validated our model. In the deep neural network, sequential images are assigned to a multi-channel input to train the network. The multi-channel images are composed of sequential images obtained along the time domain. As a result, the neural network learns the temporal information as the images express the correlation with each other along the time domain. In order to verify the proposed method, we conducted experiments by comparing the deformation measuring performance of the neural network changing the displacement range of images.

A Study on the Optimal Data Association in Multi-Target Tracking by Hopfield Neural Network (홉필드 신경망을 이용한 다중 표적 추적이 데이터 결합 최적화에 대한 연구)

  • Lee, Yang-Weon;Jeong, Hong
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.6
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    • pp.186-197
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    • 1996
  • A multiple target tracking (MTT) problem is to track a number of targets in clusttered environment, where measurements may contain uncertainties of measurement origin due to clutter, missed detection, or other targets, as well as measurement noise errors. Hence, an MTT filter should be introduced to resolve this problem. In this paper, a neural network is rpoposed as an MTT filter.

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Pipe Flange Measurement System Using Draw-Wire Sensor (Draw-Wire센서를 이용한 파이프 플랜지 계측시스템)

  • 윤재웅;윤강섭;이수철
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.8
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    • pp.62-69
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    • 2003
  • In most shipyards, the measurement of 3-dimensional relative position of pipes should be connected in the block depends on the manual operation. It results a very tedious and inefficient procedure, thus the proper measurement system is needed to improve productivity and accuracy. This paper describes the development of pipe measurement system including system concepts, measuring procedures, system calibration, and its accuracy and productivity. And also, the possibility and things to be improved for application in shipyard are discussed in this paper.

The Design and Implementation of an Available Bandwidth Measurement Scheme in the K*Grid System

  • Hahm, Seong-Il;Cho, Seong-Ho;Choi, Han;Kim, Chong-Kwon;Lee, Pill-Woo
    • Journal of Information Processing Systems
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    • v.2 no.2
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    • pp.101-106
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    • 2006
  • Grid computing is an emerging technology that enables global resource sharing. In Korea, the $K^*$Grid provides an extremely powerful research environment to both industries and academia. As part of the $K^*$Grid project, we have constructed, together with the Korea Institute of Science and Technology Information and a number of domestic universities, a supercomputer Grid test bed which connects several types of supercomputers based on the globus toolkit. To achieve efficient networking in this Grid testbed, we propose a novel method of available bandwidth measurement, called Decoupled Capacity measurement with Initial Gap (DCIG), using packet trains. DCIG can improve the network efficiency by selecting the best path among several candidates. Simulation results show that DCIG outperforms previous work in terms of accuracy and the required measurement time. We also define a new XML schema for DCIG request/response based on the schema defined by the Global Grid Forum (GGF) Network Measurement Working Group (NM-WG).