• Title/Summary/Keyword: intelligent system

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Intelligent Traffic Forecasting System using Fuzzy Logic (Fuzzy 논리를 이용한 지능형 교통 혼잡도 예측 시스템 설계)

  • 김종국;김종원;조현찬;서화일;이재협;백승철
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.99-102
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    • 2001
  • It has well known that the congestion of traffic and it's distribution. There are very important problems in the traffic control systems. In this paper, we will purpose an ITFS(Intelligent Traffic Forecasting System) which can determine the car classes and transport them to ITS(Intelligent Traffic control System). The system will be used the Inductive Loop Detector(ILD)and the Fuzzy logic and shown the effectiveness by the computer simulation.

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A Study on the Development of Intelligent Decision Systems Using Influence Diagram

  • Kim, Jae-Kyeong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.20 no.3
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    • pp.77-104
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    • 1995
  • Intelligent Decision System support the decision analysis process in the managerial problems with decision analytic knowledge as well as domain specific knowledge. Influence Diagram has been one of the major knowledge representation in the intelligent decision system. In the development of intelligent decision system, knowledge acquisition is also known to be difficult. This paper suggests a developing tool using an influence diagram and Verbal Protocol Analysis which facilitates knowledge acquision for intelligent decision system. An ennvironmental decision making problem is used as an illustrative example and validation of the suggested developing tool is discussed. The suggested tool is very flexible to be expanded or applied to similar problems.

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Neuro-Fuzzy Control of Inverted Pendulum System for Intelligent Control Education

  • Lee, Geun-Hyung;Jung, Seul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.9 no.4
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    • pp.309-314
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    • 2009
  • This paper presents implementation of the adaptive neuro-fuzzy control method. Control performance of the adaptive neuro-fuzzy control method for a popular inverted pendulum system is evaluated. The inverted pendulum system is designed and built as an education kit for educational purpose for engineering students. The educational kit is specially used for intelligent control education. Control purpose is to satisfy balancing angle and desired trajectory tracking performance. The adaptive neuro-fuzzy controller has the Takagi-Sugeno(T-S) fuzzy structure. Back-propagation algorithm is used for updating weights in the fuzzy control. Control performances of the inverted pendulum system by PID control method and the adaptive neuro-fuzzy control method are compared. Control hardware of a DSP 2812 board is used to achieve the real-time control performance. Experimental studies are conducted to show successful control performances of the inverted pendulum system by the adaptive neuro-fuzzy control method.

Design and Implementation of Agent-Recruitment Service System for the Intelligent Head Hunting Service (지능형 헤드헌팅 서비스를 위한 중개 채용 서비스 시스템 설계 및 구현)

  • Lee, Wonjin;Cho, Kangmin
    • Journal of Korea Multimedia Society
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    • v.21 no.2
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    • pp.224-231
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    • 2018
  • Recently, the importance of intelligent personalized services is increasing in the era of the 4th Industrial Revolution. In this paper, we proposes design and implementation of the agent recruitment service system for the intelligent headhunting service. The proposed service system has designed and implemented an intelligent service system to efficiently recruit and manage applicants(job seekers). In addition, we develops the modules that can analyze the profile information of the applicant(job seeker), and implement the algorithm to predict the talent verification and analyze the talent type. The proposed service system is expected to contribute to designing the innovative and new service models for the intelligent agent recruitment service system.

Modeling of Bank Asset Management System based on Intelligent Agent

  • Kim, Dae-Su;Kim, Chang-Suk
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.1 no.1
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    • pp.81-86
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    • 2001
  • In this paper, we investigated the modeling of Bank Asset Management System(BAME) based on intelligent agent. To achieve this goal, we introduced several kinds of agents that show intelligent features. BAMS is a user friendly system and adopts fuzzy converting system and fuzzy matching system that returns reasonable similarity matching results. Generation function of the proximity degree is suggested. Fuzzification of investment type categories and feature values are defined, and generation of proximity degree is also derived. An example of bank asset management system is introduced and simulated. Investment type matching utilizing fuzzy measure is tested and it showed quite reasonable similarity matching results.

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Design intelligent web-agent system using learning method (학습 방법을 이용한 지능형 웹 에이전트 시스템 설계)

  • 이말례;남태우
    • Journal of the Korean Society for information Management
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    • v.14 no.2
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    • pp.285-301
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    • 1997
  • Massive amount ofinformation is provided for the internet users. Therfore, the users are exposed even to the useless information. In this paper, a Intelligent Web-Agent system is present as a solution for this kind if users inconvinience. This Intelligent Web-Agent system i devised users to search by the keyword about which they get information and commend the sites which have more intensive relation with the examine keyword, judge by the users and the case-base constructed by the Intelligent Web-Agent system itself previously, so the users can access the essential web sites in short time. Intelligent Web-Agent system is compose of a interface-system and a learning system. According to the experiment, using the Intelligent Web-Agent System quicker than the case when not using the Intelligent Web-Agent System.

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INTELLIGENT CONTROL OF MILLING OPERATIONS

  • Y.S.Tarng;Hwang, S.T.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1382-1385
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    • 1993
  • In order to improve productivity, an intelligent control system is presented in the pater. In this intelligent control system, a feedforward neural network and a fuzzy feedback mechanism are adopted to achieve a constant milling force with an adjustable feedrate under a variety of cutting conditions in milling operations.

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A study on the Intelligent Voltage Control System (전력계통의 지능형 전압제어시스템에 관한 연구)

  • Lee, Heung-Jae;Yu, Won-Kun;Wang, In-Soo;Kang, Hyun-Jae;Shin, Jung-Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.7
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    • pp.944-949
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    • 2012
  • As modern power systems become large and complicated, the automated voltage and reactive power control system is required in most developed countries due to the recent amazing progress of computer net works and information thechnology. So far the voltage control has been depend on human operator in korean power system. This paper presents an intelligent voltage control system based on sensitivity analysis and artificial intelligence technology. Detailed state space modeling technique is discussed and a new performance index is proposed to speed up the searching performance of the expert system. As the searching strategy is very important factor of the speed of expert system the least first search algorithm is applied using this performance index. The intelligent voltage control system is applied to the Jeju power system. As a result, case studies showed a promissing application of the intelligent voltage control system.

A Study on Designing Intelligent Military Decision Aiding System in a Network Computing Environment (네트웍 컴퓨팅 환경하에서의 지능형 군사적 의사결정시스템 구축에 관한 연구)

  • 김용효;박상찬
    • Journal of the military operations research society of Korea
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    • v.24 no.1
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    • pp.18-40
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    • 1998
  • This paper is aimed to design an intelligent military decision aiding system in a network computing environment, especially focusing on designing an intelligent analytic system that has data mining tools and inference engine. Through this study, we concluded that the intelligent analytic system can aid military decision making processes. Highlights of the proposed system are as follows : 1) Decision making time can be reduced by the On-line and Real-time analysis ; 2) Intelligent analysis on military decision problems in network computing environments in enabled; 3) The WWW-based implementation models, which provide a standard user interface with seamless information sharing and integration capability and knowledge repository.

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A Development of Intelligent Service Robot System for Store Management in Unmanned Environment (무인화 환경 기반의 상점 자동 관리를 위한 지능형 서비스 로봇 시스템)

  • Ahn, Ho-Seok;Sa, In-Kyu;Baek, Young-Min;Lee, Dong-Wook
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.6
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    • pp.539-545
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    • 2011
  • This paper describes an intelligent service robot system for managing a store in an unmanned environment. The robot can be a good replacement for humans because it is possible to work all day and to remember lots of information. We design a system architecture for configuring many intelligent functions of intelligent service robot system which consists of four layers; a User Interaction Layer, a Behavior Scheduling Layer, a Intelligent Module Layer, and a Hardware Layer. We develop an intelligent service robot 'Part Timer' based on the designed system architecture. The 'Part Timer' has many intelligent function modules such as face detection-recognition-tracking module, speech recognition module, navigation module, manipulator module, appliance control module, etc. The 'Part Timer' is possible to answer the phone and this function gives convenient interface to users.