• Title/Summary/Keyword: Intelligent Information

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지능정보사회의 사이버 역기능 분류와 사회적 인식 분석 (A Study on the Classification of Cyber Dysfunction and the Social Cognition Analysis in the Intelligent Information Society)

  • 임규건;안재익
    • 한국IT서비스학회지
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    • 제19권1호
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    • pp.55-69
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    • 2020
  • The Internet cyber space has become more important as it enters the intelligent information society of the 4th Industrial Revolution beyond the information age through the development of ICT, the expansion of personalized services through mobile and SNS, the development of IoT, big data, and artificial intelligence. The Internet has formed a new paradigm in human civilization, but it has focused only on the efficiency of its functions. Therefore, various side effects such as information divide, cyber terrorism, cyber violence, hacking, and personal information leakage are emerging. In this situation, facing the intelligent information society can lead to an uncontrollable chaos. Therefore, this study classifies the cyber dysfunction of intelligent information society and analyzes social cognition, suggests cyber dysfunction standard of intelligent information society, and examines the seriousness of dysfunction, and suggests technical research directions for future technologies and services. The dysfunctional classification of the intelligent information society was classified into five areas of cyber crime and terrorism, infringement of rights, intelligent information usage culture, intelligent information reliability, and social problems by FGI methodology. Based on the classification, the social perception of current and future cyber dysfunction severity was surveyed and it showed female is more sensitive than male about the dysfunction. A GAP analysis confirmed social awareness that the future society would be more serious about AI and cyber crime

Design of Intelligent Transportation Control System Based on Blockchain Technology

  • Xia, Wei
    • Journal of Information Processing Systems
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    • 제18권6호
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    • pp.763-769
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    • 2022
  • Transportation allocation requires information such as storage location and order information. In order to guarantee the safe transmission and real-time sharing of information in all links, an intelligent transportation control system based on blockchain technology is designed. Firstly, the technical architecture of intelligent transportation information traceability blockchain and the overall architecture of intelligent transportation control system were designed. Secondly, the transportation management demand module and storage demand management module were designed, and the control process of each module was given. Then, the type of intelligent transportation vehicle was defined, the objective function of intelligent transportation control was designed, and the objective function of intelligent transportation control was constructed. Finally, the intelligent transportation control was realized by genetic algorithm. It was found that when the transportation order volume was 50×103, and the CPU occupancy of the designed system was only 11.8%. The reliability attenuation of the code deletion scheme was lower, indicating better performance of the designed system.

뇌 정보처리 원리 기반 지능형 정보처리 레이어 설계 (Design of Intelligent Information Processing Layer based on Brain)

  • 김성주
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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    • pp.45-48
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    • 2006
  • The system that can generate biological brain information processing mechanism more precisely may have several abilities such as exact cognition, situation decision, learning and inference, and output decision. In this paper, to implement high level information processing and thinking ability in a complex system, the information processing layer based on the biological brain is introduced. The biological brain information processing mechanism, which is analyzed in this paper, provides fundamental information about intelligent engineering system, and the design of the layer that can mimic the functions of a brain through engineering definitions can efficiently introduce an intelligent information processing method having a consistent flow in various engineering systems. The applications proposed in this paper are expected to take several roles as a unified model that generates information process in various areas, such as engineering and medical field, with a dream of implementing humanoid artificial intelligent system.

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위치 정보를 이용한 확장 벡터 모델의 문서 길의 정규화에 관한 연구 (A Study on the Document Length Normalization of Extended Vector Model Using the Information of Location)

  • 김광영;서정현;이민호;주원균;정창후;류범종
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2003년도 춘계학술발표논문집 (하)
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    • pp.1623-1626
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    • 2003
  • 인터넷의 발달과 인터넷 이용자수의 급격한 증가로 정보 검색 시스템의 필요성이 커지고 있다. 또한 대용량의 문서에서 사용자가 원하는 정보를 정확하게 찾기가 점점 어려워지고 있다. 현재 대부분의 검색 시스템들은 문서 길이에 대한 정규화를 처리하고 있다. 현재 문서 길이 정보도 검색 시스템의 검색성능에 기여를 하고 있다. 일반적으로 TREC이나 HANTEC2.0을 이용한 검색 성능 평가를 했을 때문서 길의 정규화를 하지 않는 것보다 한 것이 우수한 성능을 보여 주고 있다. 본 논문에서는 KISTAL2000을 이용하여 위치 정보를 사용하여 문서 길의 정규화 방법에 제시하고 이에 대한 실험하였다.

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Evaluation of Classified Information on Web Agent Using Fuzzy Theory

  • Kim Doo-Ywan;Kim Tae-Ywan
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제5권3호
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    • pp.216-221
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    • 2005
  • The rapid growth and spread of the World Wide Web has made it possible to easily access a variety of useful information. It is, however, very difficult to retrieve, manage, and use the desired information in web. Various kinds of systems such as Search engines, MetaSearch engines, Spiders, Softbots, Intelligent Agents or Web Agents have been developed by a large number of researchers and companies. Those systems as intelligent agent are employed to avoid the overload of information. To efficiently improve the Software Agents, it is necessary to represent and classify the retrieved data. And to improve performance of the Intelligent Agents to create the classification, it is offered how to evaluate the propriety with other information retrieved from the Web and to recommend to the user the most suitable information.

지능정보 교육과 기술 지원 정책 및 전략 (Policy and Strategy for Intelligence Information Education and Technology)

  • 이태규;정대철;김용갑
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제6권8호
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    • pp.359-368
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    • 2017
  • 최근 지속적으로 논의하고 있는 '지능정보사회'란? 지능정보기술을 기반으로 사회 전 영역에서 인간능력의 한계를 뛰어넘는 자동화가 보편화된 미래사회상을 의미한다. 특히, 인간의 개입을 최소화하고, 데이터(또는 빅데이터) 기반 완전 자동화로의 진화를 지속적으로 추구하는 개념이다. 예를 들어, 자율형자동화는 인공지능을 핵심요소로 무인자동차를 지속적으로 지향하고 있다. 그러나 지금까지의 지능정보 연구는 지능화 자체를 중심으로 지능화 논리를 고도화하여, 인간의 뇌와 지능을 대체하고자 하는 노력을 기울여 왔다. 또한, 다른 한편으로 인간의 노동력을 대체하기 위해서 노동자의 작업 원리를 분석하여 최적화된 단순논리를 개발하여 노동자를 로봇으로 대체하려는 노력을 지속해왔다. 본 연구는 지능정보기술 연구 전략 및 교육서비스에 관한 접근전략, 교육방법, 세부정책 로드맵 등을 제안하여, 지능정보 교육 정책 및 지능정보기술 연구 전략을 시행하는데 중요한 기준과 방향을 제시하고자 한다. 특히, 교육방법으로 기초지능교육, 지능콘텐츠교육, 지능응용교육 등의 지능정보교육의 단계적 접근 방안을 제시한다. 또한, 지능화 및 자동화가 중심이 되는 4차 산업혁명 성패를 가를 수 있는 중요한 요소로서 지능정보기술, 지능교육콘텐츠, 지능형 교육시스템 개선을 위한 교육정책 방안을 제안한다.

지능정보사회 노인층의 디지털 정보격차와 과제 (The Digital Divide and Challenges on the Elderly in Intelligence Information Society)

  • 박노민
    • 디지털정책학회지
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    • 제3권1호
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    • pp.11-20
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    • 2024
  • 시대적 디지털 환경변화를 반영하는 지능정보사회는 개인적인 삶의 변화 가능성으로 기대되는 반면, 지능정보기술에 익숙하지 않은 정보취약계층의 디지털 격차는 활용 불가능의 불편함을 넘어 지능정보사회에서 누릴 수 있는 사회적·경제적 불평등이 야기되는 현실이다. 본 연구는 지능정보사회의 디지털 포용 실현을 위한 노인 미디어교육 분야의 과제를 도출하는 데 목적이 있다. 이를 위해 '제6차 국가정보화 기본계획(2018~2022)'과 '2022 교육정보화백서(2022)'를 통해 지능정보사회와 관련되는 국가정보화 비전, 목표, 전략 및 과제를 살펴보았으며, '2022년 디지털 정보격차 실태조사' 결과를 통해 취약계층으로 분류된 노인층의 디지털 격차 현황을 통하여 디지털정보화 역량(54.5%)과 디지털 정보화 활용수준(72.6%)은 낮은 것으로 파악하였다. 지능정보사회에서 노인층의 디지털 정보격차를 완화하기 위해서 노인 미디어교육 분야에서는 지능정보기술을 활용한 지능형 미디어교육 서비스 개발, 늘배움 온라인서비스 채널을 통한 노인 미디어교육 서비스 제공, 노인층을 위한 디지털 지능형 미디어 교육 지원 등이 필요할 것으로 여겨진다.

The Co-Evolutionary Algorithms and Intelligent Systems

  • June, Chung-Young;Byung, Jun-Hyo;Bo, Sim-Kwee
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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    • pp.553-559
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    • 1998
  • Simple Genetic Algorithm(SGA) proposed by J. H. Holland is a population-based optimization method based on the principle of the Darwinian natural selection. The theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. Although GA goes well in many applications as an optimization method, still it does not guarantee the convergence to a global optimum in some problems. In designing intelligent systems, specially, since there is no deterministic solution, a heuristic trial-and error procedure is usually used to determine the systems' parameters. As an alternative scheme, therefore, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve. In this paper we review the existing co-evolutionary algorithms and propose co-evolutionary schemes designing intelligent systems according to the relation between the system's components.

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Automated Data Collection and Intelligent Management System for Construction Site Disaster Prevention

  • Chang-Yong Yi;Young-Jun Park;Tae-Yong Go;Jin-Young Park;Hyung-Keun Park;Dong-Eun Lee
    • 국제학술발표논문집
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    • The 10th International Conference on Construction Engineering and Project Management
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    • pp.731-737
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    • 2024
  • The accident rate in the South Korean construction industry has increased by 50% over the past ten years, reaching seven times the average growth rate of the entire industry. However, the number of management personnel at construction sites is decreasing, making it increasingly difficult to establish a safety monitoring system through professional personnel. This study aims to develop an intelligent control system to address the problem of insufficient management personnel and support the establishment of a continuous safety monitoring system. This system consists of a mobile information collection robot (S-BOT) and an intelligent algorithm. The visual information collected by S-BOT can be analyzed in real-time using computer vision-based intelligent algorithms to detect unsafe situations. The results of this study will contribute to preventing unnecessary social and economic losses by maximizing safety management efficiency and supporting timely decision-making through the sharing of information provided by the intelligent control system.

A Framework for Inteligent Remote Learning System

  • 유영동
    • 한국정보시스템학회지:정보시스템연구
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    • 제2권
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    • pp.194-206
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    • 1993
  • Intelligent remote learning system is a system that incorporate communication technology and others : a database engine, an intelligent tutorial system. Learners can study by themselves through the intelligent tutorial system. The existence of a communication, database and artificial intelligence enhance the capability of IRLS. According to Parsaye, an intelligent databases should have the following features : 1) Knowledge discovery. 2) Data integrity and quality control. 3) Hypermedia management. 4) Data presentation and display. 5) Decision support and scenario analysis. 6) Data format management. 7) Intelligent system design tools. I hope that this research of framework for IRLS paves for the future research. As mentioned in the above, the future work will include an intelligent database, self-learning mechanism using neural network.

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