• Title/Summary/Keyword: Intelligent Information Technology

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Eye-Contact Communication in human vehicle

  • Yamaguchi, Toru;Yoshifuji, Takafumi;Ohashi, Kunihiro;Ayama, Miyoshi
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.122-125
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    • 2003
  • Aged people are increasing, and IT gap is also expanding. In order to solve the problem, we composed the intelligent space and eye contact communication. Intelligent space can pursue by getting a color from the camera

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Introduction and Improvement of Genetic Programming for Intelligent Fuzzy Robots

  • Murai, Yasuyuki;Matsumura, Koki;Tatsumi, Hisayuki;Tsuji, Hiroyuki;Tokumasu, Shinji
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.388-391
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    • 2003
  • We've been following research on the obstacle avoidance that is based on fuzzy control. We previously proposed a new method of automatically generating membership functions, which play an important role in improving accuracy of fuzzy control, by using genetic programming (GP). In this paper, we made two improvements to our proposed method, for the purpose of achieving better intelligence in fuzzy robots. First, the mutation rate is made to change dynamically, according to the coupled chaotic system. Secondly, the population partitioning using deme is introduced by parallel processing. The effectiveness of these improvements is demonstrated through several computer simulations.

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Intelligent Auto-Tuning for Adaptive Control of DC Motor System with Load Inertia of Great Variation

  • Woraphojn Khongphasook;Vipan Prijapanij;anant, Phornsuk-Ratiroch;Jongkol Ngamwiwit;Hiroshi Hirata
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.442-442
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    • 2000
  • The intelligent auto-tuning method fur a strongly stable adaptive control system of a DC motor with great load inertia variation is proposed. The stable characteristic polynomial that is designed by an optimal servo is specified for the adaptive pole placement control system. The appropriate adaptive control system can be derived, by adjusting automatically the weight of a performance criterion in optimal control by means of the fuzzy inference on the basis of the stability index.

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The Impact of Housing Values on the Preference for Intelligent Housing (주거가치관에 따른 인텔리전트 주택 선호도)

  • 강순주
    • Journal of Families and Better Life
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    • v.22 no.5
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    • pp.101-111
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    • 2004
  • This study was conducted to examine how the types of housing values influence the preference for computerized housing (so called 'Intelligent Housing'). A questionnaire survey was conducted on 347 residents in Seoul metropolitan area. The following findings were obtained: 1) The housing values were classified into 6 types: ostentation, information & technology, tradition preservation, personality, practicality, and privacy pursuit. 2) There were significant differences in housing values by the generation and the level of familiarity with information technology. 3) In general, computerized housing was highly preferred, and the housing value types that affected the preference were 'ostentation' and 'information & technology.' 4) There is a need to develop diverse models of computerized housing systems to respond to consumer demands.

Development of the Broadband PLC Home Controller using JINI Surrogate

  • Kim, Yong-Seok;Kim, Hee-Sun;Lee, Chang-Goo
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1563-1567
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    • 2005
  • The Home network system means that information appliances, Home PCs, etc., using wired or wireless network method enable to control and share with peripheral devices such as internet, shared data, a scanner and a printer, and it is networking solution, which intelligent communication will be possible as the system which can do a remote control such as TV Set, refrigerators, air conditioners, DVD players, digital camcorders based on external network using an internet, a potable information terminal and a mobile phone whenever, wherever and freely. In this study, the home network interface solution is used one of the wired network standards, PLC (Power-Line Communication) technology, so we can construct of intelligent home network's home controller without re-build a network at home. On keeping with current waves of thought, we will focus on a home controller development with great interest which is enabled to do an effective managed control, applying intelligent home network technology which can be new paradigm like a cyber apartment.

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A Novel Method of Improving Cache Hit-rate in Hadoop MapReduce using SSD Cache

  • Kim, Jong-Chan;An, Jae-Hoon;Kim, Young-Hwan;Jeon, Ki-Man
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.8
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    • pp.1-6
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    • 2015
  • The MapReduce Program of Hadoop Distributed File System operates on any unspecified nodes due to distributed-parallel process and block replicate for data stability. Since it is difficult to guarantee the cache locality when a Solid State Drive is used as a cache in hadoop, cache hit-rate is decreased. In this paper, we suggest a method to improve cache hit rate by pre-loading the input data of the MapReduce onto the SSD cache. To perform this method, we estimated the blocks that are used on each node by using capacity scheduler and block metadata. Eventually we could increase the performance of SSD cache by loading the blocks onto SSD cache before the Map Task run.

The design of Hybrid Storage System with High-speed Caching (캐싱 기법을 접목시킨 HSS(Hybrid Storage System) 프레임워크 설계)

  • Jae, Eun-kyeung;Jung, Gi-man;Son, Jae-gi;Kim, Young-Hwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.327-328
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    • 2013
  • 최근 클라우드 컴퓨팅 환경 내에서 많은 IT 기업들이 그동안에 쌓아두었던 소프트웨어, 하드웨어 기술력을 바탕으로 클라우드 컴퓨팅을 제공하는 데 필요한 IT 인프라 구축에 힘쓰고 있는 시점에서 경쟁력이 심화되고 있다. 그렇기 때문에 대용량의 데이터를 사용자에게 고속으로 제공할 수 있는 방안을 연구하는 것이 클라우드 컴퓨팅 환경에서 대두되고 있는 이슈 중에 하나이다. 본 논문에서는 HSS(Hybrid Storage System) 내부 소프트웨어 시스템 설계 기법에 고속 캐싱을 접목시켜 사용자에게 고속으로 데이터를 제공하는 방안을 제시하였다.

Extracting Ontology from Medical Documents with Ontology Maturing Process

  • Nyamsuren, Enkhbold;Kang, Dong-Yeop;Kim, Su-Kyoung;Choi, Ho-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.50-52
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    • 2009
  • Ontology maintenance is a time consuming and costly process which requires special skill and knowledge. It requires joint effort of both ontology engineer and domain specialist to properly maintain ontology and update knowledge in it. This is specially true for medical domain which is highly specialized domain. This paper proposes a novel approach for maintenance and update of existing ontologies in a medical domain. The proposed approach is based on modified Ontology Maturing Process which was originally developed for web domain. The proposed approach provides way to populate medical ontology with new knowledge obtained from medical documents. This is achieved through use of natural language processing techniques and highly specialized medical knowledge bases such as Unified Medical Language System.

The Suggestion for the Establishment of Intelligent Transport System (지능형 교통 시스템 구축을 위한 제안)

  • 김정호
    • Journal of the Korean Professional Engineers Association
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    • v.33 no.4
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    • pp.38-43
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    • 2000
  • ITS(Intelligent Transport System), a technology based on the recent and remarkable development in control, communications, computer and general information technologies is generally expected to be the most promising solution to the traffic congestion on urban road networks. The objective of this paper is to suggest the plan of ITS information service, current trends of ITS strategy, and technology standards.

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A Review of Intelligent Self-Driving Vehicle Software Research

  • Gwak, Jeonghwan;Jung, Juho;Oh, RyumDuck;Park, Manbok;Rakhimov, Mukhammad Abdu Kayumbek;Ahn, Junho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.11
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    • pp.5299-5320
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    • 2019
  • Interest in self-driving vehicle research has been rapidly increasing, and related research has been continuously conducted. In such a fast-paced self-driving vehicle research area, the development of advanced technology for better convenience safety, and efficiency in road and transportation systems is expected. Here, we investigate research in self-driving vehicles and analyze the main technologies of driverless car software, including: technical aspects of autonomous vehicles, traffic infrastructure and its communications, research techniques with vision recognition, deep leaning algorithms, localization methods, existing problems, and future development directions. First, we introduce intelligent self-driving car and road infrastructure algorithms such as machine learning, image processing methods, and localizations. Second, we examine the intelligent technologies used in self-driving car projects, autonomous vehicles equipped with multiple sensors, and interactions with transport infrastructure. Finally, we highlight the future direction and challenges of self-driving vehicle transportation systems.