• Title/Summary/Keyword: incomplete information system

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A Study on Machine Learning Algorithm for Intelligent Information Retrieval in World Wide Web (WWW상의 지능형 정보검색을 위한 기계학습 알고리즘 구현에 관한 연구)

  • 김성희
    • Journal of the Korean Society for information Management
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    • v.17 no.2
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    • pp.189-205
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    • 2000
  • We investigate the appropriate design and implementation of an Inductive Learning Alogrithm with a Neural Network in order to solve both inconsistent indexing and incomplete query problems on the web. Specifically, the proposed system based queries and documents in the field of Mathematics shows how inductive learning method and neural networks can apply to information retreival. Also, this study examines all of parameters of the neural networks -- the number of node in input and output, hidden layer size and learning parameters etc. -- which are significant in determining how well the neural network will converge.

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Determination of the Input/Output Relations and Rule Generation for Fuzzy Combustion Control System of Refuse Incinerator using Rough Set Theory (Rough Set 이론을 이용한 쓰레기 소각로의 퍼지제어 시스템을 위한 입출력 관계 설정 및 규칙 생성)

  • 방원철;변증남
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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    • pp.81-86
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    • 1997
  • It is proposed, for fuzzy combustion control system of refuse incinerator to find the relationship between inputs and outputs and to generate rules to control by using rough set theory. It is not easy to find out the corresponding inputs for each output and the control rules with incomplete or imprecise information consisting expert knowledge, process and manipulator values in the field, and operation manual for the given system. Most decision problems can be formulated employing decision table formalism. A decision table on fuzzy combustion control system for refuse incinerator is simplified and produces control(rules). The I/O realtions and the control rules found by rough set theory are compared with the previous result.

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Optimal maintenance procedure for multi-state deteriorated system with incomplete monitoring

  • Jin, L.;Suzuki, K.
    • International Journal of Reliability and Applications
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    • v.11 no.2
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    • pp.69-87
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    • 2010
  • The optimal replacement problem was investigated for a multi-state deteriorated system for which the true internal state cannot be observed directly except when the system breaks down completely. The internal state was assumed to be monitored incompletely by a monitor that gives information related to the true state of the system. The problem was formulated as a partially observable Markov decision process. The optimal procedure was found to be a monotone procedure with respect to stochastic increasing ordering of the state probability vectors under some assumptions. Limiting the optimal procedure to a monotone procedure would greatly reduce the tremendous amount of calculation time required to find the optimal procedure.

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Korean Character Recognition Using Optical Associative Memory (광 연상 기억 장치를 이용한 한글 문자 인식)

  • 김정우;배장근;도양회
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.31A no.6
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    • pp.61-69
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    • 1994
  • For distortion-invariant recognition of Korean characters, a holographic implementation of an optical associative memory system is proposed. The structure of the proposed system is a single-layer neural network employing interconneclion matrix, thresholding and feedback. To provide the interconnection matrix, we use two CGII's which are placed on intermcdiate plane of cascaded Vander Lugt corrclators to form an optical memory loop. The holographic correlator stores reference images in a hologram and retrives them in a coherently illuminated feedback loop. An input image which maybe noisy or incomplete, is applicd to the system and simultaneously correlated optically with all of the stord images. These correlations are throsholed and fed back to the input, where the strongest correlation reinforces the input image. The enhanced image passes arround the loop repeatedly, approaching the stored image more closely on each pass until the system stabilizes on the desired image. The computer simulation results show that the proposed Korean Character recognition algorithm has high discrimination capability and noise immunity.

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Assessment and Validation of the Reliability of Quality Measurement System for Wireless Data Services (무선데이터 서비스 품질 측정 시스템의 신뢰성 검증 및 평가)

  • Choi, Dong-Hwan;Park, Seok-Cheon
    • Journal of Information Technology Services
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    • v.11 no.1
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    • pp.239-246
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    • 2012
  • The user increases around the WiBro and in which the mobile broad band service is the wireless internet base technology HSDPA, that is the cellular phone foundation technique, and moreover the issue about the user effective quality guarantee emerges but the quality control of the wireless network is the incomplete actual condition. Therefore, the reliability verification according to the development of the system for the performance measure for the continued wireless data service and it and evaluation are needed for the quality control. In this paper, the wireless data service quality measurement system was implemented with the design. The same test environment as the existing network performance measurement program was built for the reliability verification of the embodied device for measuring quality and evaluation and the cost performance was performed. It could confirm that design and embodied wireless data service quality measurement system operated accurately in this paper through the quality measure result value analysis.

THE DESIGN OF AN EFFICIENT LOAD BALANCING ALGORITHM EMPLOYING BLOCK DESIGN

  • Chung, Il-Yong;Bae, Yong-Eun
    • Journal of applied mathematics & informatics
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    • v.14 no.1_2
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    • pp.343-351
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    • 2004
  • In order to maintain load balancing in a distributed system, we should obtain workload information from all the nodes on network. This processing requires $O(v^2)$ communication overhead, where v is the number of nodes. In this paper, we present a new synchronous dynamic distributed load balancing algorithm on a (v, k + 1, 1)-configured network applying a symmetric balanced incomplete block design, where $v\;=\;k^2$\;+\;k\;+\;1$. Our algorithm needs only $O(\sqrt[v]{v})$ communication overhead and each node receives workload information from all the nodes without redundancy. Therefore, load balancing is maintained since every link has the same amount of traffic for transferring workload information.

The Development of HTTP Get Flooding Detection System Using NetFPGA (NetFPGA를 이용한 HTTP Get Flooding 탐지 시스템 개발)

  • Hwang, Yu-Dong;Yoo, Seung-Yeop;Park, Dong-Gue
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.971-974
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    • 2011
  • 본 논문에서는 대용량 네트워크에 비정상적인 트래픽이 유입이 되거나 나가는 경우 패킷 기반의 비정상 트래픽의 탐지와 분석이 가능토록 하는 시스템을 설계하고 구현하였다. 본 논문에서 구현한 시스템은 네트워크상의 이상 행위를 탐지하기 위하여, DDoS HTTP Get Flooding 공격 탐지 알고리즘을 적용하고, NetFPGA를 이용하여 라우터 단에서 패킷을 모니터링하며 공격을 탐지한다. 본 논문에서 구현한 시스템은 Incomplete Get 공격 타입의 Slowloris 봇과, Attack Type-2 공격 타입의 BlackEnergy, Netbot Vip5.4 봇에 높은 탐지율을 보였다.

The survey for disease and symptom of people in Ethiopia through a MCM General Hospital (에티오피아 MCM General Hospital을 통해 살펴본 지역주민들의 질병 및 증상 현황)

  • Kim, Hayong;Choi, Jung-jun;Kim, Joon;Jang, Eunsu
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.24 no.1
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    • pp.15-28
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    • 2020
  • Objectives The aim of this study was to suggest basic data of health and medical status in Ethiopia for globalization of Korean Medicine. Methods This study was conducted from 26 to 28, Dec, 2018 in the MCM General Hospital in Addis ababa of Ethiopia. The questionnaire was developed from open form of review of system questionnaire and some question was changed. It was composed of 3 parts: chief complaint, review of system and medical policy. For more information, we interviewed the director of a public health clinic. The 94 questionnaires was collected. Three of them was incomplete, and 91 was analyzed. Results (1) Seventeen people appealed for head problem, and thirteen people for abdomen, and eleven for chest in chief complaint. (2) The number of 22 people had problem in nervous system. Twenty also had diseases of respiratory and digestive system respectively. (3) They also appeal for pain in head, mouth, eye, and neck and complained for fatigue, weight gain or loss, and weakness in review of system. (4) They put the priority on disease prevention than management or treatment. Conclusions This study suggests information on medical status of the people in the medical hospital of Ethiopia which is valuable for globalization of Korean Medicine.

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An Adaptive Multiple Target Tracking Filter Using the EM Algorithm (EM 알고리즘을 이용한 적응다중표적추적필터)

  • Hong Jeong;Park, Jeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.5
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    • pp.583-597
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    • 2001
  • Tracking the targets of interest has been one of the major research areas in radar surveillance system. We formulate the tracking problem as an incomplete data problem and apply the EM algorithm to obtain the MAP estimate. The resulting filter has a recursive structure analogous to the Kalman filter. The difference is that the measurement-update deals with multiple measurements and the parameter-update can estimate the system parameters. Through extensive experiments, it turns out that the proposed system is better than PDAF and NNF in tracking the targets. Also, the performance degrades gracefully as the disturbances become stronger.

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Scenario Framework for ERP Testing and Training;SF-ETT

  • Park, Gwang-Ho;Kim, Ho-Taek;An, Yun-Ji
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.316-321
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    • 2007
  • Effective Training has been recognized as one of the most important success factors for enterprise resource planning (ERP) system operations. However, both ERP system vendors and user companies have failed to provide an effective training method for users because practical business process cases cannot be formalized. Also, incomplete testing by ERP system vendors results in insufficient and ineffective user training. This paper suggests a scenario framework for ERP testing and training (SF-ETT). SF-ETT is constructed by expanding the practice-based ERP testing scenario construction framework designed for uniERPII. SF-ETT contains concrete business process entities that users understand actually and provides practice definition, notation, and architecture.

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