• Title/Summary/Keyword: Intelligent Information Management

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Agent for Home Server Management in Intelligent Smart Home Network

  • Moon, Seok-Jae;Shin, HyoYoung
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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    • pp.225-230
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    • 2022
  • The intelligent home network system integrates various devices in the home into one communication network to provide information sharing, control, and operation environment between devices. This intelligent home network system operates around a home server. Home appliances in the era of the 4th industrial revolution will have numerous home servers in logical areas as the intelligent home network in the home accelerates. Therefore, the need for systematic management of home servers is emerging. We propose an agent system for efficient intelligent smart home server management. The agent system monitors the home server and operating environment for home server management of the intelligent smart home network. By referring to this monitored information, the service module of the home server is managed, and the home server is dealt with whether it is normal or not. In addition, by referring to the information collected by the service agent created in the group management server while migrating the home server, it is possible to deal with integrated meter reading, crime prevention, and topics. And when a new service is applied to the home server, it is registered in the management server and distributed to the home server through the agent, so that the intelligent smart home network can be efficiently managed.

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.

The Intelligent Clinical Laboratory as a Tool to Increase Cancer Care Management Productivity

  • Mohammadzadeh, Niloofar;Safdari, Reza
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권6호
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    • pp.2935-2937
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    • 2014
  • Studies of the causes of cancer, early detection, prevention or treatment need accurate, comprehensive, and timely cancer data. The clinical laboratory provides important cancer information needed for physicians which influence clinical decisions regarding treatment, diagnosis and patient monitoring. Poor communication between health care providers and clinical laboratory personnel can lead to medical errors and wrong decisions in providing cancer care. Because of the key impact of laboratory information on cancer diagnosis and treatment the quality of the tests, lab reports, and appropriate lab management are very important. A laboratory information management system (LIMS) can have an important role in diagnosis, fast and effective access to cancer data, decrease redundancy and costs, and facilitate the integration and collection of data from different types of instruments and systems. In spite of significant advantages LIMS is limited by factors such as problems in adaption to new instruments that may change existing work processes. Applications of intelligent software simultaneously with existing information systems, in addition to remove these restrictions, have important benefits including adding additional non-laboratory-generated information to the reports, facilitating decision making, and improving quality and productivity of cancer care services. Laboratory systems must have flexibility to change and have the capability to develop and benefit from intelligent devices. Intelligent laboratory information management systems need to benefit from informatics tools and latest technologies like open sources. The aim of this commentary is to survey application, opportunities and necessity of intelligent clinical laboratory as a tool to increase cancer care management productivity.

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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ESG 경영을 위한 지능형 기술을 수용하는 조직개발 연구 (A Study on the Organizational Development for Intelligent Technology Acceptance in ESG Management)

  • 정병호;주형근
    • 디지털산업정보학회논문지
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    • 제19권1호
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    • pp.77-89
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    • 2023
  • The purpose of this study is to empirically confirm what is an important variable of organizational change by intelligent technology acceptance and whether is a difference in important variables in the organization level of acceptance of intelligent technology. Recently, business models using intelligent technologies such as chat-bots, self-driving cars, credit-prevention fraud, face recognition, and health-care are emerging. External situation factors such as artificial intelligence, big data, COVID-19, and the ESG management are changing the direction of a company's management strategy. This research method established a structural equation model. As a result of the analysis, we found that the leadership, organizational culture, and organizational cooperation variables had a positive effect on human resource development variables. Human resource development found a positive effect on the performance of intelligent technology. In addition, we found the independent variables of leadership, organizational culture, and organizational cooperation had partial mediating effects on the performance of intelligent technology. Each group of levels of intelligent technology found performance differences. The organizational culture variables appeared as important variables in all groups. On the other hand, the leadership variable appeared as an important variable in the middle and lower groups of intelligent technology. The theoretical background of this study is that the business theory was updated through artificial intelligence and intelligent technology theory. As a practical implication, the organization adopting intelligent technology is necessary to prepare a systematic plan for organizational culture change.

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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온톨로지 기반 정보 검색 시스템을 이용한 iPMIS (지능형 종합사업관리시스템) 정보 추론에 관한 연구 (A Study of iPMIS(Intelligent Program Management Information System) Information Inference an Searching System Based on Ontologies)

  • 안형준;임재복;김주형;김재준
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2009년도 춘계 학술논문 발표대회 학계
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    • pp.175-179
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    • 2009
  • Researches of current PMIS(Project Management Information System) information searching focus on providing personalized results as well as matching needed queries in an enormous amount of information. This paper aim at discovering hidden knowledge to provide personalized and inferred search results based on the ontology with categorized concepts and relations among construction data. The current PMIS searching occasionally presents too much redundant information or offers no matching results from large volumes of data. In this paper, we propose a service searching system, which becomes aware of users device using iPMIS(Intelligent Program Management Information System). And we design and plant the ontology-based iPMIS, which is aware of the context in its environment.

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Fuzzy based Intelligent Expert Search for Knowledge Management Systems

  • Yang, Kun-Woo;Huh, Soon-Young
    • 지능정보연구
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    • 제9권2호
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    • pp.87-100
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    • 2003
  • In managing organizational tacit knowledge, recent researches have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise. In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user′s information needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To improve FAH, a text categorization approach called Vector Space Model is utilized. To test applicability and practicality of the proposed framework, the prototype system, "Knowledge Portal for Researchers in Science and Technology" sponsored by the Ministry of Science and Technology (MOST) of Korea, was developed.

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Design of Intelligent Management and Service System for Gas Valve

  • Wang, Xiaoli;Wang, Feifei;Song, Yuhou;Zhang, Guirong;Wang, Shaohui
    • Journal of Information Processing Systems
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    • 제16권5호
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    • pp.1095-1104
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    • 2020
  • This paper introduces a design scheme of intelligent gas valve management and service system based on Internet. This scheme adds sensor and general packet radio service (GPRS) modules to the traditional gas valve and establishes communication connection between gas valve and the server through wireless packet communication technology, which makes the traditional gas valve have the networking ability. Compared with the traditional gas valve management and service business, the method proposed in this paper is more convenient and efficient.

문헌정보학 영역의 지능형 정보시스템에 관한 고찰 (A Study on Intelligent Information System in the Field of Library and Information Science)

  • 김성혁
    • 정보관리학회지
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    • 제9권1호
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    • pp.165-181
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    • 1992
  • 본 연구는 차세대 정보시스템으로 정착되어 가는 지능형 정보시스템의 등장배경과 개념, 그리고 지능형 정보시스템 구축에 필요한 기술인 객체지향 시스템, 전문가 시스템, 하이퍼미디아 등을 고찰하였다. 나아가 이들 기술이 문헌정보학의 영역에 적용되어 개발된 시스템을 중심으로 지능형 정보시스템을 소개하였고 앞으로의 전망에 대해 기술하였다.

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