• Title/Summary/Keyword: 지능 시스템

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Electrical Sequence Control Study Using Al Controller (인공지능 컨트롤러를 이용한 전기 시퀀스 제어 연구)

  • Kim, Hong-Yong;Kim, Dei-Hyun;Kim Eun-Yonung;Hwang Gye-Ho;Kim, Jin-Sun
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.337-338
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    • 2022
  • 시퀀스제어는 제조, 유통, 건설, 의료 산업분야의 기계, 전기, 전자, 자동화 등에 응용되어 널리 사용하고 있다. 4차산업의 발전으로 제어분야에 인공지능 융합 기술이 산업에 중요한 요소가 되어가고 있다. 특히 기존 시스템에 마이크로프로세서와 인공지능이 융합된 설비의 안전성과 혁신성을 평가하고 신뢰성 높은 장비개발이 요구되고 있어 교육목적의 장비를 개발하여 해당분야의 발전을 견인하고자 한다. 자체 개발한 일체형 인공지능 컨트롤러 모듈은 기존의 시퀀스 및 PLC제어 회로에 인공지능 능력을 융합한 장비이다. 본 장비의 성능평가항목으로 동작, 음성, 문자, 색상 등의 인식 능력과 회로의 안정성, 신뢰성을 평가하였다. 시퀀스 및 PLC 회로를 설계 후 융합된 일체형 인공지능 컨트롤러 모듈의 성능평가항목이 모두 만족하였고 회로의 안전성과 신뢰성에 문제가 없는 것으로 나타났다.

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A Mu1ti-Agent Platform for Providing Intelligent Medical Information (지능형 의료 정보 제공을 위한 멀티 에이전트 플랫폼)

  • 최원기;김일곤
    • Journal of Intelligence and Information Systems
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    • v.7 no.1
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    • pp.123-133
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    • 2001
  • Medical domain is very applicable for multi-agent system because medical information systems need much knowledge and close relationship with medical staff, In this paper, we describe design and implementation of an intelligent medical multi-agent platform that provides medical images'information services. This platform supports a physical environment that medical agents can be deployed following FIPA(Foundation for Intelligent Physical Agent)\`s agent management reference model. To use a variety of components on Windows, COM(Common Object Model) interfaces and XML(extensible Markup Language) for encoding ACL(Agent Communication Language) are used for multi-agent communications. Since many kinds of diverse and close relationships with medical staff) are essential, a medical staff is conceptualized as an agent and integrated with multi-agent systems. Also it provides an infrastructure applicable to share necessary knowledge between human agents and software agents in order to make intelligent medical information services easier.

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Fuzzy Pulse-Width-Modulated Feedback Control: Global Intelligent Digital Redesign Approach (퍼지 펄스폭 변조 궤환 제어: 전역적 지능형 디지털 재설계 접근법)

  • Lee Ho Jae;Joo Young Hoon;Park Jin Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.1
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    • pp.92-97
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    • 2005
  • This paper discusses an intelligent digital redesign technique for designing a fuzzy pulse-width-modulated (PWM) control. First when we are given a well-designed fuzzy analog control, the equivalent digital control is intelligently redesigned. Using the similar technique we intelligently redesign the fuzzy PWM control from the intelligently redesigned fuzzy digital control. A stabilizability of the intelligently redesigned PWM control is rigorously analyzed.

Intelligent Dust Chamber Bag Control System using Case-Based Reasoning (사례기반 추론을 이용한 지능형 집진기 bag 제어 시스템)

  • Kim, Jung-Sook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.1
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    • pp.48-53
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    • 2010
  • In this paper, we develop the intelligent remote dust chamber bag control system which is combination of the advanced IT and traditional dust chamber based on event. At first, the message format is defined for the efficient dust chamber bag information transmission using power line communication. Also, we define the data types to logically model the dust chamber and the dust chamber bag, and they are logically modeled using XML and object-oriented modeling method. In addition to, we apply the case-based reasoning for showing the dust chamber bag exchange time intelligently to user at real-time using casebase, that is collected by case or case-based reasoning result, and that is described using XML.

A Study on Intelligent Navigation System using Soft-computing (소프트 컴퓨팅을 이용한 지능형 네비게이션에 관한 연구)

  • Choi, In-Chan;Lee, Hong-Gi;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.6
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    • pp.799-805
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    • 2010
  • In this paper, we propose an intelligent navigation system that selects a proper route for user and applies the user's preference, user's tendency and environmental state estimated by driving information of user and road state. The system uses data of sensors, navigation and intelligent transport system to evaluate conditions of roads and it considers state of user's emotion. The system also uses soft-computing method to infer and learn the user's preference and tendency. We verify the proposed algorithm by computer simulation.

Development of Robust Intelligent Digital Controller for Smart Space (스마트 스페이스 구축을 위한 강인 지능형 디지털 제어기 개발)

  • Joo, Young-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.60-65
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    • 2008
  • In this paper, we concern the stability of smart space by using the robust digital controller. The proposed methodologies are based on the intelligent digital redesign (IDR). More precisely, we represent the nonlinear and uncertain analog system as the Takaki-Sugeno (T-S) fuzzy model. Then the IDR problem can be reduced to find the digital gains minimizing the norm distance between the closed-loop states of the analog and digital control. Its constructive conditions are expressed as the linear matrix inequalities (LMIs). At last, a numerical example, HVAC system, is demonstrated to visualize the feasibility of the proposed methodology.

Observer-Based Digital fuzzy Controller Design Using Digital Redesign (디지털 재설계를 이용한 관측기 기반 디지털 퍼지 제어기 설계)

  • Lee, Ho-Jae;Joo, Young-Hoon;Park, Jin-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.5
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    • pp.520-525
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    • 2003
  • This paper concerns a design methodology of observer-based output-feedback digital controller for Takagi-Sugeno(TS) fuzzy systems using intelligent digital redesign (IDR). The term of IDR involves converting an analog fuzzy-mode-based controller into an equivalent digital one in the sense of state-matching. The considered IDR problem is viewed as convex minimization problems of the norm distances between linear operators to be matched. The stability condition is easily embedded and the separations principle is explicitly shown.

Development of Artificial Intelligence Processing Embedded System for Rescue Requester search (소방관의 요구조자 탐색을 위한 인공지능 처리 임베디드 시스템 개발)

  • La, Jong-Pil;Park, Hyun Ju
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1612-1617
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    • 2020
  • Recently, research to reduce the accident rate by actively adopting artificial intelligence technology in the field of disaster safety technology is spreading. In particular, it is important to quickly search the Rescue Requester in order to effectively perform rescue activities at the disaster site. However, it is difficult to search for Rescue Requester due to the nature of the disaster environment. In this paper, We intend to develop an artificial intelligence system that can be operated in a smart helmet for firefighters to search for a rescue requester. To this end, the optimal SoC was selected and developed as an embedded system, and by testing a general-purpose artificial intelligence S/W, the embedded system for future smart helmet research was verified to be suitable as an artificial intelligence S/W operating platform.

Automated Course of Action Evaluation for Military Decision-Making (지휘결심을 위한 자동 방책 평가)

  • Geewon Suh;Hyungkeun Yi;Minhyuk Kim;Byungjoo Kim;Moonhyun Lee;Jaewoo Baek;Changho Suh
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.4
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    • pp.437-445
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    • 2024
  • In future complex and diverse battlefield situations, the existing command system faces the challenge of delayed human judgement of strategy and low objectivity. This paper proposes an artificial intelligence model that takes situation information and course of action simulation results as input and automatically assigns scores to various evaluation elements and a comprehensive score. This tool is expected to assist the commander in making decisions, reduce the time required for making judgments, and promote impartial decision-making.

Ubiquitous Data Mining, Challenge and Task (유비쿼터스 데이터 마이닝, 도전과 과제)

  • Jun Sung-Hae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.04a
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    • pp.57-60
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    • 2005
  • 21세기에 들어서면서 인터넷은 새로운 패러다임인 유비쿼터스 컴퓨팅 환경으로 빠르게 바뀌고 있다. 특히 2005년에 접어들면서 유비쿼터스는 정보기술 분야에서 건설, 의료, 교통, 안전, 교육 등 사회 각 분야에서 유비쿼터스 컴퓨팅의 도입을 추진하고 있다 동시에 유비쿼터스 컴퓨팅이 각 분야에서 적용이 될 때에는 지능형 시스템에 의한 서비스가 이루어 져야 한다는 것에 대하여 모두가 공감하고 있다. 지능형 유비쿼터스 서비스가 이루어지기 위한 하나의 방법으로서 현재 인터넷의 지능형 서비스에서 활발하게 이루어지고 있는 데이터 마이닝 전략이 있다. 즉 유비쿼터스 컴퓨팅 환경에서 발생하는 엄청난 양의 데이터를 분석하여 지능형 유비쿼터스 서비스를 하기 위한 데이터 마이닝 분야가 바로 유비쿼터스 데이터 마이닝이다. 유비쿼터스 데이터 마이닝은 오프라인 데이터 마이닝, 웹 마이닝 등에 비해 여러 가지 다른 점들이 있다. 본 논문에서는 유비쿼터스 데이터 마이닝에 대한 소개와 기존의 데이터 마이닝 프로세스와의 차이점을 알아본다. 아울러 유비쿼터스 컴퓨팅 환경에서 이루어져야 할 데이터 마이닝 전략의 과제와 도전에 대한 이슈들을 살펴보고 몇 가지 모의실험을 통하여 이것들에 대한 확인을 하였다.

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