• 제목/요약/키워드: Information analysis system

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국방정보기술표준 적용실태 조사 분석에 관한 연구 (A Study on the Investigation and Analysis of Defense Information Technical Standard Application)

  • 김혜령;최상영
    • 한국군사과학기술학회지
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    • 제12권3호
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    • pp.325-332
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    • 2009
  • This study is aimed to investigate the application of DITA(Defense Information Technical stAndard) on the weapon information systems and defense management information systems in order not only to update the current DITA version 4.0, but also to develop SoS(System of systems) interoperability policy in the armed forces of Korea. For this study, 18 information systems were considered, their development products(System/Sub-system Specification, Technical architecture View, System Interoperability Test and Evaluation products) were reviewed and analysed. As a result of the investigation and analysis, it was found that the 44% of the DITA standard profiles were used for the development of the defense information systems. We conclude that DITA should be updated to be a minimal set so that all the defense information systems should be DITA-compliant. And it should be reviewed periodically to reflect the new information technology.

IECS: an Integrated E-Community System for Management, Decision and Service

  • Bo, Yu;Wang, Hongding;Peng, Zhang;Tong, Yunhai;Tang, Shiwei;Yang, Dongqing
    • 한국디지털정책학회:학술대회논문집
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    • 한국디지털정책학회 2004년도 International Conference on Digital Policy & Management
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    • pp.375-387
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    • 2004
  • The paper presents an Integrated E-Community System (IECS) for management, decision and service, designed for the e-government project of Haishu District of Ningbo, Zhejiang, China. The project need is to promote the integration of management information and service information of communities, providing a unified platform on which different departments of the district government can share and exchange community information, government officers can analyze information and make decisions, and the outside users can access and request services. To meet the project need, the IECS consists of five parts: 1) The Central DataBase (CDB) that stores all information related with management, decision and service of communities: 2) Information Extracting Subsystem (IES) that provides functions of extracting data from data sources, transforming and loading them into the CDB for system administrators; 3) Information Management Subsystem (IMS) that provides functions of querying and sharing of information for government users, and functions of information maintenance, rights and log management for system administrators: 4) Intelligent Analysis Subsystem (IAS) that provides functions of extracting analysis related data from the CDB and loading them into the DW, and functions of multi-dimensional analysis and decision-making based on the DW and OLAP for government users; 5) Information Service Website (ISW) that provides functions of promulgating and collecting of information for government users and system administrators, and functions of browsing, querying and requesting of service information for outside users. The IECS supports management, decision and service of a government based on a unified data platform--the CDB, and ensures data security by providing different workplaces and rights for different users. In the real application, the system works well.

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A SENSOR DATA PROCESSING SYSTEM FOR LARGE SCALE CONTEXT AWARENESS

  • Choi Byung Kab;Jung Young Jin;Lee Yang Koo;Park Mi;Ryu Keun Ho;Kim Kyung Ok
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.333-336
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    • 2005
  • The advance of wireless telecommunication and observation technologies leads developing sensor and sensor network for serving the context information continuously. Besides, in order to understand and cope with the context awareness based on the sensor network, it is becoming important issue to deal with plentiful data transmitted from various sensors. Therefore, we propose a context awareness system to deal with the plentiful sensor data in a vast area such as the prevention of a forest fire, the warning system for detecting environmental pollution, and the analysis of the traffic information, etc. The proposed system consists of the context acquisition to collect and store various sensor data, the knowledge base to keep context information and context log, the rule manager to process context information depending on user defined rules, and the situation information manager to analysis and recognize the context, etc. The proposed system is implemented for managing renewable energy data management transmitted from a large scale area.

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전자정부 대국민 정보서비스 효율성 분석을 통한 벤치마킹 설계 (Design of the Benchmark through the Efficiency Analysis of Public Information Services of E-government)

  • 신승효;김승희;김우제
    • 한국IT서비스학회지
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    • 제12권3호
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    • pp.405-420
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    • 2013
  • The purpose of this paper is to develop an evaluation model for e-government system in Korea which is one of world best practices of e-government systems. We have presented a method to perform an efficiency analysis of each e-government service which in a component of e-government system in Korea and to establish a benchmark target for each e-government service. To do this, the output-oriented DEA(Data Envelopment Analysis) CCR model was performed for the selected 12 e-government public services of Korean e-government system in this paper. As a result of DEA analysis, first the internet civil appeal support service, the employment comprehensive information service, and the company support information service were evaluated as the efficient solutions among the 12 e-government public services. Second the remaining 9 e-government public services were evaluated as the inefficient information services which should be improved in terms of their service levels. Finally the benchmark targets for the inefficient e-government services were suggested to improve those inefficient systems through DEA analysis.

Multimodal Sentiment Analysis for Investigating User Satisfaction

  • 황교엽;송쯔한;박병권
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권3호
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    • pp.1-17
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    • 2023
  • Purpose The proliferation of data on the internet has created a need for innovative methods to analyze user satisfaction data. Traditional survey methods are becoming inadequate in dealing with the increasing volume and diversity of data, and new methods using unstructured internet data are being explored. While numerous comment-based user satisfaction studies have been conducted, only a few have explored user satisfaction through video and audio data. Multimodal sentiment analysis, which integrates multiple modalities, has gained attention due to its high accuracy and broad applicability. Design/methodology/approach This study uses multimodal sentiment analysis to analyze user satisfaction of iPhone and Samsung products through online videos. The research reveals that the combination model integrating multiple data sources showed the most superior performance. Findings The findings also indicate that price is a crucial factor influencing user satisfaction, and users tend to exhibit more positive emotions when content with a product's price. The study highlights the importance of considering multiple factors when evaluating user satisfaction and provides valuable insights into the effectiveness of different data sources for sentiment analysis of product reviews.

Adaptive Multimodal In-Vehicle Information System for Safe Driving

  • Park, Hye Sun;Kim, Kyong-Ho
    • ETRI Journal
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    • 제37권3호
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    • pp.626-636
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    • 2015
  • This paper proposes an adaptive multimodal in-vehicle information system for safe driving. The proposed system filters input information based on both the priority assigned to the information and the given driving situation, to effectively manage input information and intelligently provide information to the driver. It then interacts with the driver using an adaptive multimodal interface by considering both the driving workload and the driver's cognitive reaction to the information it provides. It is shown experimentally that the proposed system can promote driver safety and enhance a driver's understanding of the information it provides by filtering the input information. In addition, the system can reduce a driver's workload by selecting an appropriate modality and corresponding level with which to communicate. An analysis of subjective questionnaires regarding the proposed system reveals that more than 85% of the respondents are satisfied with it. The proposed system is expected to provide prioritized information through an easily understood modality.

Kano 모형과 Fuzzy-AHP를 이용한 온라인 P2P 금융 서비스 성공요인 도출 (Examining Success Factors of Online P2P Lending Service Using Kano Model and Fuzzy-AHP)

  • 안경민;이영찬
    • 지식경영연구
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    • 제19권2호
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    • pp.109-132
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    • 2018
  • Recently, new financial services related to FinTech has gained attention more and more. Online P2P financial services transactions such as FinTech require careful examination of the constituents of information systems as an investment is made based on the information presented on the online platform without direct face-to-face contact. The purpose of this study is to find out the success factors of online P2P Lending service among FinTech. To serve the purpose, we build IS (information system) success model, and then use Kano model and fuzzy analytic hierarchy process (Fuzzy-AHP) to find out factors for the success of online P2P Lending service. In particular, this study uses Kano model to classify information system satisfaction factors and to calculate the satisfaction coefficient. The Kano model, however, has a drawback of evaluating single criterion. Therefore, we use multi-criteria decision-making technique such as Fuzzy-AHP to derive the relative importance of the factors. The analysis results show different results depending on the analysis technique. In the Kano model, most of the information system factors are a one-dimensional quality attribute. The satisfaction coefficient is highest for personalized service, followed by the responsiveness of service, ease of using a system, understanding of information, usefulness of information' reliability. The service reliability is the highest in dissatisfaction coefficient, followed by system security, service responsiveness, system stability, and personalized service. The results of the Fuzzy-AHP analysis shows that the usefulness of information quality, the personalization of service quality, and the security of system quality are the significant factors and the stability of system quality was a secondary factor.

Design of the Integrated Incomplete Information Processing System based on Rough Set

  • Jeong, Gu-Beom;Chung, Hwan-Mook;Kim, Guk-Boh;Park, Kyung-Ok
    • 한국지능시스템학회논문지
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    • 제11권5호
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    • pp.441-447
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    • 2001
  • In general, Rough Set theory is used for classification, inference, and decision analysis of incomplete data by using approximation space concepts in information system. Information system can include quantitative attribute values which have interval characteristics, or incomplete data such as multiple or unknown(missing) data. These incomplete data cause tole inconsistency in information system and decrease the classification ability in system using Rough Sets. In this paper, we present various types of incomplete data which may occur in information system and propose INcomplete information Processing System(INiPS) which converts incomplete information system into complete information system in using Rough Sets.

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슈퍼컴퓨팅 기반의 대규모 구조해석을 위한 전/후처리 시스템 개발 (Development of Pre- and Post-processing System for Supercomputing-based Large-scale Structural Analysis)

  • 김재성;이상민;이재열;정희석;이승민
    • 한국CDE학회논문집
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    • 제17권2호
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    • pp.123-131
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    • 2012
  • The requirements for computational resources to perform the structural analysis are increasing rapidly. The size of the current analysis problems that are required from practical industry is typically large-scale with more than millions degrees of freedom (DOFs). These large-scale analysis problems result in the requirements of high-performance analysis codes as well as hardware systems such as supercomputer systems or cluster systems. In this paper, the pre- and post-processing system for supercomputing based large-scale structural analysis is presented. The proposed system has 3-tier architecture and three main components; geometry viewer, pre-/post-processor and supercomputing manager. To analyze large-scale problems, the ADVENTURE solid solver was adopted as a general-purpose finite element solver and the supercomputer named 'tachyon' was adopted as a parallel computational platform. The problem solving performance and scalability of this structural analysis system is demonstrated by illustrative examples with different sizes of degrees of freedom.

교내 인터넷 장비 및 PC 자원 관리를 위한 통합 관리 시스템의 설계 및 구현 (Design and Implementation of Total Management System for Internet Devices and PC Resources Management in School)

  • 안성진
    • 정보교육학회논문지
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    • 제5권3호
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    • pp.364-373
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    • 2001
  • 이 논문에서는 초중등학교의 PC와 통신 장비에 대한 운영을 종합적으로 관리하기 위한 통합 관리시스템을 설계하고 구현하였다. 제안된 시스템은 PC의 시스템 정보 관리, 네트워크 정보 관리, 원격관리 등의 기능과 라우터의 회선 관리 및 성능분석 기능을 제공한다. PC 관리를 위한 시스템 및 네트워크 구성 정보 모니터링이 가능하며, 원격 PC의 화면을 수집하여 현 상황 파악이 가능하다. 네트워크장비의 관리를 위해 SNMP를 이용한 회선 인터페이스 정보 수집과 폴링에 의한 이용률 등의 분석 기능을 제공하고 있다. 통합 관리 시스템을 통해 시스템 관리 교사가 PC및 네트워크 요소에 대한 자원정보 수집과 모니터링이 가능하여 학교 내 모든 전산 자원에 대해서 일괄 관리가 가능하다.

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