• Title/Summary/Keyword: information analysis framework

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Distributed Control Framework based on Mobile Agent Middleware

  • Lee, Yon-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.12
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    • pp.195-202
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    • 2020
  • The control system for the efficiency of resource utilization in sensor network environment based on object detection and environmental sensor requires active control function which based on sensor data acquisition and transmission functions and server's data analysis. Using active rule-based mobile agent middleware, this paper proposes a new distributed control framework that reduces the load of central sensor data server in sensor network environment by implementing remote data sensing and Zigbee-based communication with server and data analysis method of server. In addition, we implemented a power-saving system prototype using active rule-based distributed control methods that applied consumer's demand and environmental variables, and verified the validity of the proposed system through experiments and evaluations in the mobile agent middleware environment. The proposed system is a system framework that can efficiently autonomously control distributed objects in the sensor network environment, and it can be applied effectively to the development of demand response service based on optimal power control for the smart power system in the future.

Application Of Open Data Framework For Real-Time Data Processing (실시간 데이터 처리를 위한 개방형 데이터 프레임워크 적용 방안)

  • Park, Sun-ho;Kim, Young-kil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.10
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    • pp.1179-1187
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    • 2019
  • In today's technology environment, most big data-based applications and solutions are based on real-time processing of streaming data. Real-time processing and analysis of big data streams plays an important role in the development of big data-based applications and solutions. In particular, in the maritime data processing environment, the necessity of developing a technology capable of rapidly processing and analyzing a large amount of real-time data due to the explosion of data is accelerating. Therefore, this paper analyzes the characteristics of NiFi, Kafka, and Druid as suitable open source among various open data technologies for processing big data, and provides the latest information on external linkage necessary for maritime service analysis in Korean e-Navigation service. To this end, we will lay the foundation for applying open data framework technology for real-time data processing.

The Development of an IT Evaluation Framework: A Case Study on Firm K (정보기술의 평가모형 개발 : K기업의 사례연구)

  • 김효석;오재인
    • Journal of the Korean Operations Research and Management Science Society
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    • v.13 no.1
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    • pp.29-29
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    • 1988
  • In the past decade, considerable effort has been devoted unsuccessfully to the development of information technology (IT) evaluation frameworks in the information systems area. Based on the literature review in this area and the decision analysis field, two competing evaluation frameworks are developed in this study: the direct evaluation framework and the indirect evaluation framework. A case study on Firm K shows that the latter is more practically efficient and theoretically appropriate but requires the adequate training for practitioners in order not to get confused the weight of an evaluation variable with the product of this weight and the score of the variable. Another finding is that Weill's conversion effectiveness is neither possible nor necessary to measure in the process of evaluating an IT although it is in theory an important concept.

An Analysis of the Policy Making Process of a Back-In Phenomenon Appeared in Contracting out of Public Library: Based on the Advocacy Coalition Framework (A도서관 직영전환의 정책형성과정 분석: 정책옹호연합모형을 중심으로)

  • Choi, Yoonhee;Kim, Giyeong
    • Journal of the Korean Society for information Management
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    • v.32 no.3
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    • pp.295-316
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    • 2015
  • This study analyzed the policy making process by finding factors of a back-in phenomenon appeared in contracting out of public library using advocacy coalition framework. The coalitions were divided into 'agreement of direct management', 'opposition of direct management' and 'keep the contract out'. Considering their belief and activity, to share core belief could make a change of secondary belief. It suggests that activating public sphere is necessary for enforcement of their strategies throughout the library policy.

Measuring the Confidence of Human Disaster Risk Case based on Text Mining (텍스트마이닝 기반의 인적재난사고사례 신뢰도 측정연구)

  • Lee, Young-Jai;Lee, Sung-Soo
    • The Journal of Information Systems
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    • v.20 no.3
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    • pp.63-79
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    • 2011
  • Deducting the risk level of infrastructure and buildings based on past human disaster risk cases and implementing prevention measures are important activities for disaster prevention. The object of this study is to measure the confidence to proceed quantitative analysis of various disaster risk cases through text mining methodology. Indeed, by examining confidence calculation process and method, this study suggests also a basic quantitative framework. The framework to measure the confidence is composed into four stages. First step describes correlation by categorizing basic elements based on human disaster ontology. Secondly, terms and cases of Term-Document Matrix will be created and the frequency of certain cases and terms will be quantified, the correlation value will be added to the missing values. In the third stage, association rules will be created according to the basic elements of human disaster risk cases. Lastly, the confidence value of disaster risk cases will be measured through association rules. This kind of confidence value will become a key element when deciding a risk level of a new disaster risk, followed up by preventive measures. Through collection of human disaster risk cases related to road infrastructure, this study will demonstrate a case where the four steps of the quantitative framework and process had been actually used for verification.

Determinants of E-Government Assimilation in Indonesia: An Empirical Investigation Using a TOE Framework

  • Pudjianto, Boni;Zo, Hangjung;Ciganek, Andrew P.;Rho, Jae-Jeung
    • Asia pacific journal of information systems
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    • v.21 no.1
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    • pp.49-80
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    • 2011
  • E-government needs to be successfully implemented and assimilated into organizations to take advantage of its potential values and benefits for organizations. This study examines factors for e-government assimilation in Indonesia and employs the TOE (Technology-Organization-Environment) framework to develop a theoretical model to explain e-government assimilation. It also investigates how organizational type (central vs. local) plays a role in the assimilation of e-government. One hundred eighteen respondents from the central and local governments in Indonesia participated in the survey and an in-depth analysis based on partial least squares (PLS) was carried out. The results show that ICT infrastructure has the strongest significant relationship with e-government assimilation, Top management support, regulatory environment, ICT expertise, and competitive environment are also significant factors to explain e-government assimilation in Indonesia. Central and local governments Significantly differ in terms of e-government assimilation, so organizational type can be a moderator in the process of e-government assimilation. These findings present the efficacy of the proposed model for analyzing e-government assimilation and contribute additional insights for academia as well as practitioners and policy makers.

The analysis of causal relationship of SCM performance based on BSC framework (BSC에 기반한 SCM 성과간의 인과관계 분석)

  • Kim, Mi-Ae;Suh, Chang-Kyo
    • The Journal of Information Systems
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    • v.23 no.4
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    • pp.75-91
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    • 2014
  • The effective supply chain management(SCM) is a matter of survival in many firms because successful supply chains will effectively coordinate their processes, focus on delivering customer value, eliminate unnecessary costs in key functional areas, and create performance measurement systems. The balanced scorecard(BSC) is widely used to measure the performance of the SCM. The BSC framework suggests that balance is obtained by adopting performance measures from four different areas. In this study, we analyzed the causal relationship of SCM performance based on BSC framework. First, we reviewed the nested causal relationships among four different perspective of the BSC, namely, business process perspective, customer perspective, financial perspective, and innovation and learning perspective. Then, we used the chi-square difference test to identify the best model to fit the causal relationship of SCM performance. Of the 800 questionnaires posted, a total of 265 questionnaires were returned after one follow-up. A total of 66 questionnaires were eliminated due to largely missing values. The major finding says alternative model 3 is dominant to other models to fit causal relationships among four different perspective of the BSC. Innovation and learning perspective positively influence on customer perspective, business process perspective, and financial perspective. Business process perspective also positively influence on customer perspective and financial perspective whereas customer perspective does not influence on financial perspective significantly.

Analysis of 3D integral imaging systems under fixed resource constraints (제안된 리소스에서 3D 집적 영상 시스템의 분석 기법)

  • Shin, Donghak;Hong, Seok-Min;Lee, Byung-Gook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.1012-1014
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    • 2012
  • Integral imaging is considered as a next-generation 3D display which can display 3d imaging in space using lens array. The performance of integral imaging systems depends on several factors including display panel, lens array, imaging devices and so on. In this paper, we develop a unifying framework to evaluate the resolution of integral imaging systems under fixed resource constraints. The proposed framework enables one to optimize the system performance. To show the feasibility of the proposed method, we carry out Monte Carlo simulations based on this framework and present the results.

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The Generation of Digital Orthophotos and Three Dimensional Models of an Urban Area from Digital Aerial Photos

  • Lee, Jin-Duk
    • Korean Journal of Geomatics
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    • v.2 no.2
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    • pp.131-137
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    • 2002
  • The digital photogrammetric products have been increasingly used as an accurate foundation for representing information associated with infrastructure management. The technological advances in merging raster and vector data within the framework of GIS have allowed for the inclusion of DTMs and digital orthophotos with vector data and its associated attributes. This study addresses not only generating DEMs and digital orthophotos but producing three dimensional building models from aerial photos of an urban area by employing the digital photogrammetric technology. DEMs and digital orthophotos were automatically generated through the process of orientations, image matching and so on, and then the practical problems, which must be solved especially in applying to urban areas, were considered. The accuracy of produced digital orthophotos was derived by using check points. Also three dimensional visualization imagery, which is useful in the landform analysis, and 3D building models were produced. Digital photogrammetric products would be used widely not only as GIS framework data layers by using the GIS link function which links attribute and image information in the database for applying to infrastructure management and but as geospatial data for especially 3D GIS in urban areas.

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A Framework for Universal Cross Layer Networks

  • Khalid, Murad;Sankar, Ravi;Joo, Young-Hoon;Ra, In-Ho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.4
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    • pp.239-247
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    • 2008
  • In a resource-limited wireless communication environment, various approaches to meet the ever growing application requirements in an efficient and transparent manner, are being researched and developed. Amongst many approaches, cross layer technique is by far one of the significant contributions that has undoubtedly revolutionized the way conventional layered architecture is perceived. In this paper, we propose a Universal Cross Layer Framework based on vertical layer architecture. The primary contribution of this paper is the functional architecture of the vertical layer which is primarily responsible for cross layer interaction management and optimization. The second contribution is the use of optimization cycle that comprises awareness parameters collection, mapping, classification and the analysis phases. The third contribution of the paper is the decomposition of the parameters into local and global network perspective for opportunistic optimization. Finally, we have shown through simulations how parameters' variations can represent local and global views of the network and how we can set local and global thresholds to perform opportunistic optimization.