• 제목/요약/키워드: Intelligent Application

검색결과 1,717건 처리시간 0.039초

PRINCIPLES FOR A CIPHER SYSTEM BASED ON CHAOTIC AND CHAOTIC FUZZY TOOLS

  • Teodorescu, H.N.;Yamakawa, T.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.869-872
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    • 1993
  • The chaotic fuzzy logic systems behave in a more complex way than crisp chaotic systems, and they can show some advantages in complex applications. Such an application is introduced in this paper, namely in scrambling and ciphering the signals.

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Intelligent Chat Agent in JESS

  • Ibrahim, Ahmad;Choi, Ho-Jin
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2007년도 춘계학술발표대회
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    • pp.427-428
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    • 2007
  • An intelligent chat agent is a computer application that can have conversation with the user. This paper gives an overview of design and implementation of such a system in Java Expert System Shell (Jess) and have compared some of the limitations by using two different implementation approaches.

지능형차량 개발과 안전운전지원 시스템

  • 권영도
    • 전자공학회지
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    • 제28권5호
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    • pp.55-62
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    • 2001
  • In this paper, we introduc current research and development trend of intelligent vehicls and its application to driving suport system. We introduce some core technology required for developing thee systems and explain how it works. Moreover, some items related with ehicle information system and the intelligent vehicles will be introduced. Since the vehicle is very complex system, there are many problems in developing these systems, especially in developing intelligent vehicle. The main purpose of this is to dscuss these problems and find good solution.

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피에조밸브를 적용한 전자유압브레이크의 압력제어 (Advanced Pressure Control of Piezoelectric Valve on Electro-hydraulic Braking)

  • 독고종훈;박귀태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 제38회 하계학술대회
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    • pp.1576-1577
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    • 2007
  • As a intelligent valve piezoelectric valve is to applied to various fields of application. Piezoelectric valves have fast response time and good linearity for pressure control but its hysteresis displacement by its stack actuator influences on pressure control in electro-hydraulic braking. Solenoid valves are traditional element to control hydraulic pressure but this paper proposes piezoelectric valve for brake pressure control with hysteresis compensation.

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저온 처리에 의한 결정형 $TiO_2$나노분말의 제조 (Preparation of $TiO_2$Nanocrystalline Powder at Low Temperature)

  • 서동석;이종국;유해근;김환
    • 한국세라믹학회지
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    • 제38권4호
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    • pp.331-336
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    • 2001
  • TiOCl$_2$수용액과 암모니아수의 반응으로부터 얻은 titanium hydroxide 침전물에 대해 각각 NaOH 또한 HCl 처리를 통하여 비교적 낮은 온도에서 결정성이 우수하고, 높은 비표면적을 갖는 결정형 TiO$_2$나노분말을 제조하였다. 저온처리 조건을 변화시킴으로써 TiO$_2$분말의 결정상과 입자 모양을 제어할 수 있었는데, NaOH 처리한 다음 산처리한 분말에는 아나타제와 루틸상이 함께 형성되었으며 구형입자와 긴 스핀들 모양의 입자들로 이루어져 있었고, 비등수 처리 시에는 열처리를 통해 아나타제상의 구형 입자들을 얻을 수 있었다. Titanium hydroxide를 0.1M과 0.5M에 산처리한 분말은 모두 아나타제상을 나타내었는데, 0.1M의 분말은 구형입자로 이루어져 있었고, 0.5M의 경우는 대부분 구형입자들로 이루어져 있었지만 스핀들 모양의 입자들도 소량 관찰되었으며, 2M에 산처리한 분말은 루틸상으로서 모두 스핀들 모양의 입자들로 이루어져 있었고, 제조된 분말의 비표면적은 약 240-250$m^2$/g을 나타내었다.

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지능 영상 감시를 위한 흑백 영상 데이터에서의 효과적인 이동 투영 음영 제거 (An Effective Moving Cast Shadow Removal in Gray Level Video for Intelligent Visual Surveillance)

  • 응웬탄빈;정선태;조성원
    • 한국멀티미디어학회논문지
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    • 제17권4호
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    • pp.420-432
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    • 2014
  • In detection of moving objects from video sequences, an essential process for intelligent visual surveillance, the cast shadows accompanying moving objects are different from background so that they may be easily extracted as foreground object blobs, which causes errors in localization, segmentation, tracking and classification of objects. Most of the previous research results about moving cast shadow detection and removal usually utilize color information about objects and scenes. In this paper, we proposes a novel cast shadow removal method of moving objects in gray level video data for visual surveillance application. The proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the corresponding regions in the background scene. Then, the product of the outcomes of application determines moving object blob pixels from the blob pixels in the foreground mask. The minimal rectangle regions containing all blob pixles classified as moving object pixels are extracted. The proposed method is simple but turns out practically very effective for Adative Gaussian Mixture Model-based object detection of intelligent visual surveillance applications, which is verified through experiments.

An Inventory Management System Based on Intelligent Agents

  • Her, Chul-whoi;Chung, Hwan-mook
    • 한국지능시스템학회논문지
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    • 제11권7호
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    • pp.584-590
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    • 2001
  • An inventory management system of manufacturing industry has a model of different kinds according to the objective and the situation. An inventory management system needs superior system technique in demand forecast, economical efficiency, reliability and application for stable supply of the finished goods, the raw materials and the parts. This paper proposes a demand forecast method based on fuzzy structured neural network, which uses min-operation and trapezoid membership function of fuzzy rules. So we can construct an intelligent inventory management system that make optimized decision-making for forecasting data with expert s opinion in fuzzy environment. The inventory management system uses intelligence agent and it could be adapted to a system environment change in order.

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Intelligent Digital Controller Using Digital Redesign

  • Joo, Young-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제3권2호
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    • pp.187-193
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    • 2003
  • In this paper, a systematic design method of the intelligent PAM fuzzy controller for nonlinear systems using the efficient tools-Linear Matrix Inequality and the intelligent digital redesign is proposed. In order to digitally control the nonlinear systems, the TS fuzzy model is used for fuzzy modeling of the given nonlinear system. The convex representation technique also can be utilized for obtaining TS fuzzy models. First, the analog fuzzy-model-based controller is designed such that the closed-loop system is globally asymptotically stable in the sense of Lyapunov stability criterion. The simulation results strongly convince us that the proposed method has great potential in the application to the industry.

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

  • 이흥재;유원근;왕인수;강현재;신정훈
    • 전기학회논문지
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    • 제61권7호
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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.

초저전력 엣지 지능형반도체 기술 동향 (Trends in Ultra Low Power Intelligent Edge Semiconductor Technology)

  • 오광일;김성은;배영환;박성모;이재진;강성원
    • 전자통신동향분석
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    • 제33권6호
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    • pp.24-33
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    • 2018
  • In the age of IoT, in which everything is connected to a network, there have been increases in the amount of data traffic, latency, and the risk of personal privacy breaches that conventional cloud computing technology cannot cope with. The idea of edge computing has emerged as a solution to these issues, and furthermore, the concept of ultra-low power edge intelligent semiconductors in which the IoT device itself performs intelligent decisions and processes data has been established. The key elements of this function are an intelligent semiconductor based on artificial intelligence, connectivity for the efficient connection of neurons and synapses, and a large-scale spiking neural network simulation framework for the performance prediction of a neural network. This paper covers the current trends in ultra-low power edge intelligent semiconductors including issues regarding their technology and application.