• Title/Summary/Keyword: Information analysis system

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DEVELOPMENT OF A WEB-BASED GEO-SPATIAL INFORMATION SYSTEM FOR THE ANALYSIS AND EVALUATION OF SOIL DATA

  • YongGu Jang;SangHoon Lee;HoYun Kang;InJoon Kang
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1396-1403
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    • 2009
  • The Ministry of Construction and Transportation (MOCT) has been constructing a nationwide soil information DB since 2000, as basic data for the construction of 'underground geographical information,' a project under the 2nd National Geo-spatial Information System (NGIS) master plan. The inputted soil information includes not only underground conditions such as the layer depth, type, color, and groundwater level, but also engineering information that can be applied to construction work design, such as on the standard penetration test and the compression test. It is difficult to use this information in soil analysis and design, however, because only the test results are currently available. A web-based geo-spatial information system was developed in this study to facilitate the effective application of the soil information database (DB). First, the space information, layer information, and engineering test information were loaded from the soil information DB in real time, and the earth volume, bearing capacity, and settlement were calculated to develop a web client that will evaluate the ground softness and liquefaction. It seems that the soil information DB can be actively applied to the planning and design of construction works using this system.

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Design and Adaptation for Internet News Data Extraction Middleware(INDEM) System

  • Sun, Bok-Keun
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.4
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    • pp.55-62
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    • 2016
  • In this paper, we propose the INDEM(Internet News Data Extraction Middleware) system for the removal of the unnecessary data in internet news. Although data on the internet can be used in various fields such as source of data of IR(Information Retrieval), Data mining and knowledge information service, it contains a lot of unnecessary information. The removal of the unnecessary data is a problem to be solved prior to the study of the knowledge-based information service that is based on the data of the web page. The INDEM system parses html and explores the XPath, and it is to perform the analysis. The user simply utilize INDEM by implementing an abstract class that provides INDEM, and can obtain the analysis information. INDEM System through this process delivers the analysis information including the main contents of news site to the users. In this paper, the INDEM system was adapted in a stand-alone and web service system and it was evaluated on the basis of 16 news site. As a result, performance of the INDEM system is affected in html source data size and complexity of used html grammar than the main news data size.

A Preliminary Study on the Establishment of Long-Life Housing Infill Information System (장수명주택 인필 정보시스템 구축에 관한 기초 연구)

  • Jung, Yoon-Hye;Hwang, EunKyoung;Kim, Eun-Young
    • KIEAE Journal
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    • v.17 no.5
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    • pp.51-59
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    • 2017
  • Purpose: This study aims to set up the classification system for providing infill information and draw detailed infill information required by suppliers, thereby promoting the revitalization of long-life housing and utilizing such information as preliminary data for establishing web system, on which infill information required by users in the long-life housing design process are available. Method: For the method of study, the infill information classification system and detailed information were drawn through the analysis of existing building material information systems; and the survey targeting working-level personnel was carried out in order to verify the drawn information system. The results of this study can be summarized as follows. First, the hierarchical classification system (scheme) was selected by quoting the classification system by material type as infill type, after analyzing existing DB information systems and drawing the hierarchical classification system for infill. Second, the comparative analysis between infill was available to users for the detailed infill information of long-life housing, and the essential information and general information were selected for differentiating information. Results: First, the hierarchical classification system (scheme) was selected by quoting the classification system by material type as infill type, after analyzing existing DB information systems and drawing the hierarchical classification system for infill. Second, the comparative analysis between infill was available to users for the detailed infill information of long-life housing, and the essential information and general information were selected for differentiating information. Third, only approximately 30% of the survey respondents recognized the infill of long-life housing, but they did not recognize its difference from existing building materials. Fourth, through the analysis of paths to obtain infill information of long-life housing, it was confirmed that infill information was obtained mostly through books and research papers regarding long-life housing, followed by the existing information systems. The significance of the study lies in that it is differentiated from the previous information system as the information system specialized in the infill of long-life housing was established, and can be used as a measure to revitalize long-life housing market.

Requirements Derivation and Implementation of Agent-based SPC System by Task Analysis (활동 분석을 통한 에이전트 SPC의 요구사항 규명 및 시스템 구현)

  • Yoo, Ki-Hoon;Lee, Jae-Hoon;Kim, Ki-Tae;Jang, Joong-Soon
    • Journal of Applied Reliability
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    • v.10 no.1
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    • pp.39-56
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    • 2010
  • Statistical process control (SPC) is a powerful technique for monitoring, managing, analysing and improving the process performance. However, its has limitations such as lack of engineering, statistical skill and training, and lesser importance of activity. To solve the problems, this study proposes an intelligent SPC system using specified agents which are derived through analysis and evaluation of the SPC activities. The activities investigated by the relevant researches are categorized as collection, process analysis, diagnosis, detection, cause analysis and rule generation. Also, the evaluation criteria are established as feasibility of automation, frequency, level and time. The requirements of the agent functions are derived by the evaluation, and the types of customized agents are as data collection, store, analysis, diagnosis, monitoring, alarm and reporting. A prototype SPC system represents that the functions of the proposed agents are successfully validated.

A Study of Parsing System Implementation Using Segmentation and Argument Information (구간 분할과 논항정보를 이용한 구문분석시스템 구현에 관한 연구)

  • Park, Yong Uk;Kwon, Hyuk Chul
    • Journal of Korea Multimedia Society
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    • v.16 no.3
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    • pp.366-374
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    • 2013
  • One of the most important problems in syntactic analysis is syntactic ambiguities. This paper proposes a parsing system and this system can reduce syntactic ambiguities by using segmentation method and argument information method. The proposed system uses morphemes for the input of syntax analysis system, and syntactic analysis system generates all possible parse trees from the given morphemes. Therefore, this system generates many syntactic ambiguity problems. We use three methods to solve these problems. First is disambiguation method in morphological analysis, second is segmentation method in syntactic analysis processing, and the last method is using argument information. Using these three methods, we can reduce many ambiguities in Korean syntactic analysis. In our experiment, our approach decreases about 53% of syntactic ambiguities.

ERP-Based Accounting Information System Implementation in Organization: A Study in Riau, Indonesia

  • NUR D.P., Emrinaldi;IRFAN, Muhammad
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.147-157
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    • 2020
  • In the accounting information system implementation, the users should consider the benefits and advantages of the system. This paper examines the effect of the Enterprise Resources Planning based (ERP-based) accounting information system implementation on user impact and organizational impact. The population in this study is companies listed on the Indonesian Stock Exchange, especially companies based in Riau, Indonesia. These companies currently use the ERP-based accounting information system. Research samples are employees who use the ERP-based accounting information system. For data analysis, we use structural equation modeling (SEM). Based on data analysis, high-quality information system implementation generate high-quality information that can give satisfaction to the user. Moreover, the information system is related to user skill, satisfaction, and knowledge sharing which improve personal skills; enhanced personal skill contributes to organizational performance. On the other hand, there is no effect of training on personal skills and there is no effect of information quality on perceived usefulness. This research gives implication to the organization for implementing a high-quality ERP-based accounting information system that positively impacts organizational performance. Future research is expected to examine information system implementation in different research objects and conditions.

A Study on the Big Data Analysis System for Searching of the Flooded Road Areas (도로 침수영역의 탐색을 위한 빅데이터 분석 시스템 연구)

  • Song, Youngmi;Kim, Chang Soo
    • Journal of Korea Multimedia Society
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    • v.18 no.8
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    • pp.925-934
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    • 2015
  • The frequency of natural disasters because of global warming is gradually increasing, risks of flooding due to typhoon and torrential rain have also increased. Among these causes, the roads are flooded by suddenly torrential rain, and then vehicle and personal injury are happening. In this respect, because of the possibility that immersion of a road may occur in a second, it is necessary to study the rapid data collection and quick response system. Our research proposes a big data analysis system based on the collected information and a variety of system information collection methods for searching flooded road areas by torrential rains. The data related flooded roads are utilized the SNS data, meteorological data and the road link data, etc. And the big data analysis system is implemented the distributed processing system based on the Hadoop platform.

Implementation of a Regression Analysis System for the Control of Supplying Halibuts (넙치 공급량 조절을 위한 회귀분석 시스템 구현)

  • Ahn, Jinhyun;Kang, Jungwoon;Kim, Mincheol;Park, So-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.2
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    • pp.321-324
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    • 2022
  • The Korean halibut farming industry suffer from price instability and demand decrease due to various environmental and social issues. It is urgent to predict the appropriate amount of halibut production. However, it is not easy for employments working in the halibut farming industry to handle statistical tools in order to perform the prediction. In this paper, we implemented a Excel-based regression analysis tool that allows users to get a regression analysis result by just entering historical data in a sheet. Our tool will reduce workloads of employments working in the halibut farming industry by enabling them to perform a regression analysis with Excel on-the-fly. This study expect that by using the tool the halibut farming industry cope actively with the real-time change in the industry.

Offline-to-Online Service and Big Data Analysis for End-to-end Freight Management System

  • Selvaraj, Suganya;Kim, Hanjun;Choi, Eunmi
    • Journal of Information Processing Systems
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    • v.16 no.2
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    • pp.377-393
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    • 2020
  • Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offline-to-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014-2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.

System Improvement Strategy by User Satisfaction Index Model Development and Measurement of Information System (정보시스템 이용자 만족지수 모델 개발 및 측정을 통한 시스템 개선방안)

  • Park, Yong-Jae;Lee, Sang-Hwan;Kwak, Seung-Jin
    • Journal of the Korean Society for information Management
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    • v.24 no.4
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    • pp.173-189
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    • 2007
  • By measuring satisfaction index of the users of Information System, it is possible not only to estimate ROI(Return on Investment) but also to draw the device for the efficiency and improvement of the System. This study tries to give User Satisfaction Index Model for the System, and present operators and managers of the system with the method for improving satisfaction and efficiency by measuring the User Satisfaction Index of representative information systems. For this, the survey was carried out for the representative information systems. On the basis of the analysis, Satisfaction Index was drawn and through Matrix Analysis, the strategy for system improvement was derived.