• Title/Summary/Keyword: Intelligent Techniques

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AN ABSTRACTION MODEL FOR IN-SITU SENSOR DATA USING SENSORML

  • Lee Yang Koo;Jung Young Jin;Park Mi;Kim Hak Cheol;Lee Chung Ho;Ryu Keun Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.337-340
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    • 2005
  • Context-awareness techniques in ubiquitous computing environment provide various services to users who need to get information via the analysis of collected information from sensors in a spatial area. Context-awareness has been increased in ubiquitous computing and is applied to many different applications such as disaster management system, intelligent robot system, transportation management system, shopping management system, and digital home service. Many researches have recently focused on services that provide the appropriate information, which are collected from Internet by different kinds of sensors, to users according to context of their surrounding environment. In this paper, we propose an abstraction model to manage the large-scale contextual information and their metadata which are collected from different kinds of in-situ sensors in a spatial area and are presented them on the web. This model is composed of the modules expressing functional elements of sensors using sensorML(Sensor Model Language) based on XML language and the modules managing contextual information, which is transmitted from the sensors.

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유전자 알고리즘을 활용한 부실예측모형의 구축 (A GA-based Rule Extraction for Bankruptcy Prediction Modeling)

  • Shin, Kyung-shik
    • 지능정보연구
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    • 제7권2호
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    • pp.83-93
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    • 2001
  • 기업부실예측은 과거로부터 많은 연구가 이루어진 분야로, 주로 통계기법에 의한 분류예측문제로 다루어져 왔다. 최근에는 인공신경망, 의사결정나무 등 비선형성을 반영할 수 있는 인공지능 기법을 적용한 연구가 많이 수행되고 있다. 본 연구에서는 최적화에 주로 활용하는 인공지능 기법인 유전자 알고리즘을 규칙추출을 통한 기업부실예측 모형의 개발에 적용하고, 활용가능성을 검증하였다.

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Advances in Cyber-Physical Systems Research

  • Wan, Jiafu;Yan, Hehua;Suo, Hui;Li, Fang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.1891-1908
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    • 2011
  • Cyber-physical systems (CPSs) are an emerging discipline that involves engineered computing and communicating systems interfacing the physical world. The widespread applications of CPSs still face enormous challenges because of the lack of theoretical foundations. In this technical survey, we review state-of-the-art design techniques from various angles. The aim of this work is to provide a better understanding of this emerging multidisciplinary methodology. The features of CPSs are described, and the research progress is analyzed using the following aspects: energy management, network security, data transmission and management, model-based design, control technique, and system resource allocation. We focus on CPS resource optimization, and propose a system performance optimization model with resource constraints. In addition, some classic applications (e.g., integrating intelligent road with unmanned vehicle) are provided to show that the prospects of CPSs are promising. Furthermore, research challenges and suggestions for future work are outlined in brief.

유전 알고리즘을 이용한 생산 및 분배 계획 (A study on production and distribution planning problems using hybrid genetic algorithm)

  • 정성원;장양자;박진우
    • 한국경영과학회지
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    • 제26권4호
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    • pp.133-141
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    • 2001
  • Rapid development in computer and network technology these days has created in environment in which decisions for manufacturing companies can be made in a much broader perspective. Especially, better decisions on production and distribution planning(PDP) problems can be made laking advantage of real time information from all the parties concerned. However, since the PDP problem-a core part of the supply chain management- is known to be the so-called NP-hard problem, so heuristic methods are dominantly used to find out solutions in a reasonable time. As one of those heuristic techniques, many previous studios considered genetic a1gorithms. A standard genetic a1gorithm applies rules of reproduction, gene crossover, and mutation to the pseudo-organisms so the organisms can pass along beneficial and survival-enhancing trails to a new generation. When it comes to representing a chromosome on the problem, it is hard to guarantee an evolution of solutions through classic a1gorithm operations alone, for there exists a strong epitasis among genes. To resolve this problem, we propose a hybrid genetic a1gorithm based on Silver-Meal heuristic. Using IMS-TB(Intelligent Manufacturing System Test-bed) problem sets. the good performance of the proposed a1gorithm is demonstrated.

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분산형 인공지능 얼굴인증 시스템의 설계 및 구현 (Implementation and Design of Artificial Intelligence Face Recognition in Distributed Environment)

  • 배경율
    • 지능정보연구
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    • 제10권1호
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    • pp.65-75
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    • 2004
  • 네트워크로 연결된 환경에서 PIN 번호를 이용해 사용자의 신분을 증명하고 인증하는 방식이 일반적으로 활용되고 있다. 그러나, 아이디나 비밀번호가 해킹을 통해 유출되면 금전적인 피해뿐만 아니라 개인의 사생활까지도 침해받게 된다. 본 논문에서는 아이디나 비밀번호가 유출될 염려가 없는 안전한 인증방식으로 얼굴인식을 채택하였다. 또한, 2-Tier 간의 인증방식이 아닌 점점 분산화 되어 가는 네트워크 시스템을 고려해 3-Tier이상의 분산된 환경에서 원격으로 신분을 증명하고 인증할 수 있는 시스템을 제안하였다. 본 인증시스템의 얼굴인식 알고리즘으로는 최근 분류(Classification)와 특징추출(Feature Extraction)에서 빠른 속도와 정확성을 보이는 SVM(Support Vector Machine)과 PCA를 이용해 얼굴 특징을 분석하고, 분산된 환경에서 인공지능 기법을 활용해 인식속도 및 정확성을 높일 수 있는 분산형 인공지능 얼굴인증 모듈을 구현하였다.

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사용자의 심리와 상황을 고려한 맞춤형 모바일 멀티미디어 콘텐츠 추천 기법 (A Mobile Multimedia Contents Recommendation Technique Considering Users' Psychological Patterns and Situations)

  • 박원익;심우제;김영국
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제16권2호
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    • pp.232-236
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    • 2010
  • 최근의 모바일 단말기 사용자들은 많은 양의 멀티미디어 콘텐츠를 가지고 있다. 또, 인터넷과 컴퓨터 기술의 발전으로 언제 어디서든 모바일 단말기를 가지고 이를 이용할 수 있다. 하지만 현재 파일 시스템 기반의 방식에서 사용자는 원하는 멀티미디어 콘텐츠를 찾고 관리하기 위해 많은 시간을 소비해야 한다. 특히, 모바일 단말기의 작고 불편한 인터페이스는 멀티미디어 콘텐츠 검색 및 관리를 더욱 힘들게 한다. 따라서 다량의 멀티미디어 콘텐츠를 보다 효과적으로 사용하기 위한 지능형 멀티미디어 콘텐츠 관리 기법이 필요하다. 본 논문에서는 개인화된 모바일 멀티미디어 콘텐츠를 제공하기 위해서 사용자의 상황과 심리를 이용한 방법과 이를 적용한 개인화된 모바일 멀티미디어 콘텐츠 제공 시스템(Personalized Mobile Multimedia Contents Provider)을 제안한다.

High-Performing Adhesive Bonding Fastening Technique For Automotive Body Structures

  • Symietz, Detlef;Lutz, Andreas
    • 접착 및 계면
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    • 제7권4호
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    • pp.60-64
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    • 2006
  • In modern vehicle construction the search for means of weight reduction, improving durability, increasing comfort and raising body stiffness are issues of priority to the design engineer. The intelligent usage of many materials such as high strength steel, light-alloys and plastics enables a significant vehicle weight reduction to be achieved. The classical joining techniques used in the automobile industry need to be newly-evaluated since they often do not present workable solutions for such mixed-material connections, for example aluminium/steel. Calculation/simulation methods have made progress as a key factor for broader and more cost-effective implementation of structural bonding. This will lead to reduction of spotwelds and accelerate the car development. A special focus of the paper is the use of high strength steel grades. It will be shown that adhesive bonding is a key tool for yielding the potential of advanced high strength steel for low gauging without compromising the stiffness. The latest status of adhesive development has been described. Improvements with physical strength and glass temperature as well as of process relevant properties are shown. Also the situation regarding occupational hygiene is treated, showing that by further spotweld point reduction the emission around the working area can be even lowered against the current praxis. High performing lightweight design cannot longer do without high performing crash durable adhesives.

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지능형 IIR 필터 기반 다중 채널 ANC 시스템 (Intelligent IIR Filter based Multiple-Channel ANC Systems)

  • 조현철;여대연;이영진;이권순
    • 제어로봇시스템학회논문지
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    • 제16권12호
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    • pp.1220-1225
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    • 2010
  • This paper proposes a novel active noise control (ANC) approach that uses an IIR filter and neural network techniques to effectively reduce interior noise. We construct a multiple-channel IIR filter module which is a linearly augmented framework with a generic IIR model to generate a primary control signal. A three-layer perceptron neural network is employed for establishing a secondary-path model to represent air channels among noise fields. Since the IIR module and neural network are connected in series, the output of an IIR filter is transferred forward to the neural model to generate a final ANC signal. A gradient descent optimization based learning algorithm is analytically derived for the optimal selection of the ANC parameter vectors. Moreover, re-estimation of partial parameter vectors in the ANC system is proposed for online learning. Lastly, we present the results of a numerical study to test our ANC methodology with realistic interior noise measurement obtained from Korean railway trains.

교량 유지관리 지원을 위한 CAD/CAE 정보와 엔지니어링 문서정보의 통합 데이터베이스 (An Integrated Database of Engineering Documents and CAD/CAE Information for the Support of Bridge Maintenance)

  • 정연석;김봉근;이상호
    • 한국CDE학회논문집
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    • 제11권3호
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    • pp.183-196
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    • 2006
  • A new operation strategy. which can guarantee the data consistency of engineering information among the various intelligent information systems, is presented for engineering information of bridges, and construction methodology of integrated database is developed to support the strategy. The two core standard techniques are adopted to construct the integrated database. One is the Standard for the Exchange of Product Model Data (STEP) for CAD/CAE information and the other is the Extensible Markup Language(XML) for engineering document information. The former enabler structural engineers to handle the structural details with three-dimensional geometry-based information of bridges, and ACIS solid modeling kernel is employed to develop AutoCAD based application modules. The latter can make document files into data type for web-based application modules which assist end-users to search and retrieve engineering document data. In addition, relaying algorithm is developed to integrate the two different information, e.g. CAD/CAE information and engineering document information. The pilot application modules are also developed, and a case study subjected to the Han-Nam bridge is presented at the end of the paper to illustrate the use of the developed application modules.

LED Backlight Driving Circuits and Dimming Method

  • Kwon, Oh-Kyong;Jung, Young-Ho;Lee, Yong-Hak;Cho, Hyun-Suk;Nam, Ki-Soo;In, Hai-Jung
    • Journal of Information Display
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    • 제11권4호
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    • pp.173-181
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    • 2010
  • In this paper, light-emitting-diode (LED) backlight driving circuits and dimming method for medium-sized and large liquid crystal displays (LCDs) are proposed. The double loop control method, the intelligent-phase-shifted PWM dimming method, the fast-switching current regulator, and the current matching techniques are proposed to improve not only the current regulation characteristics and the power efficiency but also the current matching characteristics and the transient response of the LED current. The brightness of the backlight using the proposed local dimming method was determined from the histogram of the local block to reduce the power consumption of the backlight without image distortion. The measured maximum power efficiency of the LED backlight driving circuit for medium-sized LCDs was 90%, and the simulation results showed an 88% maximum power efficiency of the LED backlight driving circuit for large LCDs. The maximum backlight power-saving ratio of the proposed dimming method was 41.7% in the simulation with a high-contrast image. The experiment and simulation results showed that the performance of LEDs as LCD backlight units (BLUs) improved with the proposed circuits and method.