• Title/Summary/Keyword: data manage

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A Study on a Way to Utilize Big Data Analytics in the Defense Area (국방분야 빅데이터 분석의 활용가능성에 대한 고찰)

  • Kim, Seong-Woo;Kim, Gak-Gyu;Yoon, Bong-Kyu
    • Journal of the Korean Operations Research and Management Science Society
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    • v.39 no.2
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    • pp.1-19
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    • 2014
  • Recently, one of the core keywords in information technology (IT) as well as areas such as business management is big data. Big data is a term that includes technology, personnel, and organization required to gather/manage/analyze collection of data sets so large and complex that it becomes difficult to manage and analyze using traditional tools. The military has been accumulating data for a long period due to the organization's characteristic in placing emphasis on reporting and records. Considering such characteristic of the military, this study verifies the possibility of improving the performance of the military organization through use of big data and furthermore, create scientific development of operation, strategy, and support environment. For this purpose, the study organizes general status and case studies related to big data, traces back examples of data utilization by Korean's national defense sector through US military data collection and case studies, and proposes the possibility of using and applying big data in the national defense sector.

A Study on the Performance Measurement and Analysis on the Virtual Memory based FTL Policy through the Changing Map Data Resource (멥 데이터 자원 변화를 통한 가상 메모리 기반 FTL 정책의 성능 측정 및 분석 연구)

  • Hyun-Seob Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.71-76
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    • 2023
  • Recently, in order to store and manage big data, research and development of a high-performance storage system capable of stably accessing large data have been actively conducted. In particular, storage systems in data centers and enterprise environments use large amounts of SSD (solid state disk) to manage large amounts of data. In general, SSD uses FTL(flash transfer layer) to hide the characteristics of NAND flash memory, which is a medium, and to efficiently manage data. However, FTL's algorithm has a limitation in using DRAM more to manage the location information of NAND where data is stored as the capacity of SSD increases. Therefore, this paper introduces FTL policies that apply virtual memory to reduce DRAM resources used in FTL. The virtual memory-based FTL policy proposed in this paper manages the map data by using LRU (least recently used) policy to load the mapping information of the recently used data into the DRAM space and store the previously used information in NAND. Finally, through experiments, performance and resource usage consumed during data write processing of virtual memory-based FTL and general FTL are measured and analyzed.

XML Application for Bioinformatics (생물정보학을 위한 XML의 활용)

  • 이완선;유미애;조환규
    • Journal of Life Science
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    • v.12 no.4
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    • pp.383-391
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    • 2002
  • The difficulties in dealing with the Bioinformatics data come more from its idiosyncrasies than from its quantity Currently researchers need to an easy method for data exchange, manage, update. In order to integrate and manage all kinds of biological data, it is reasonable to adopt XML as standard tool since XML is independent of operating system, programming language and hardware platform. Although XML in Bioinformatics has been used widely as a standard notation abroad, however it is the beginning step in the domestic research. This article reviews a basic concept of XML and how to apply XML modeling in Bioinformatics. In addition we present XML applications for genomic sequences, structures and genetic network modeling.

Development of an Internet based Virtual Reality Environment and Web Database for the Integrity Evaluation of the Nuclear Power Plant (원자력발전소 건전성평가를 위한 인터넷기반 가상현실환경과 웹데이터베이스의 개발)

  • 김종춘;정민중;최재붕;김영진;표창률
    • Korean Journal of Computational Design and Engineering
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    • v.6 no.2
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    • pp.140-146
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    • 2001
  • A nuclear Power Plant is composed of a number of mechanical components. Maintaining the integrity of these components is one of the most critical issues in nuclear industry. In order to evaluate the integrity of these mechanical components, a lot of data are required including inspection data, geometrical data, material properties, etc. Therefore, an effective database system is essential to manage the integrity of nuclear power plant. For this purpose, an internet based virtual reality environment and web database system was proposed. The developed virtual reality environment provides realistic geometrical configurations of mechanical components using VRML (Virtual Reality Modeling Language). The virtual reality environment was linked with the web database, which can manage the required data for the integrity evaluation. The proposed system is able to share the information regarding the integrity evaluation through internet, and thus, will be suitable for an integrated system for the maintenance of mechanical components.

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A Study of Store & Management of Airborne LiDAR Data (항공LiDAR 데이터의 관계형 DBMS 저장 및 관리방안 연구)

  • Kim, Ho-Kun;Kwon, Chang-Hee
    • Journal of Advanced Navigation Technology
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    • v.12 no.6
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    • pp.548-553
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    • 2008
  • While in the past map-making process by field survey devices such as MicroStation needs more time relatively, we can make more precise map effectively with airbone LiDAR and GPS devices. Also the data, captured by LiDAR, are very large in size and so it needs to use Relational DBMS to manage and process LiDAR data. In this study we propose how to store and manage LiDAR data using RDBMS.

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A Management System for the Process and Metadata of Spatial Data Construction (공간데이터 구축공정 및 이력 관리시스템 개발)

  • 최병길;조광희;이형수;조태인
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.355-360
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    • 2004
  • This study is aimed at developing the system to manage the process and metadata of spatial data construction. The process of spatial data construction is standardized by analyzing knowhow of major firms and the provisions of MOCT(Ministry of the Construction and Transportation), and by appling the development methodology of information system. The system from this study has the capability to manage efficiently the process and metadata of spatial data construction. The process is shown by using index map. Also, it is shown by using Gantt chart and PERT chat after developing the interface for MS Project. The metadata is generated from the process, and managed systematically.

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Anomaly Removal for Efficient Conformance Test (효율적인 프로토콜 적합성 시험을 위한 변칙성 제거)

  • Lee, Hyeon-Cheol;Heo, Gi-Taek
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.3
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    • pp.750-757
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    • 1999
  • The protocol conformance testing is to check whether an implementation of a protocol conforms to its specification. And it is important to improve the interoperability of protocol and the efficiency of cost. In general, protocol is composed of the control flow representing observable behaviors and the data flow representing internally used variables. Until now, research for generation of test suite has been realized only consideration the control flow of protocol or separation control flow from data flow. Case of considering control flow, contents of test was simple and definite. Length of test was short. But it was of little application, and it didn't manage each kind errors in data flow. Therefore, we must generate test case that can manage control and data flow. So, anomaly of variable must be removed for efficient conformance testing. Therefore in this dissertation, we proposed algorithm which can remove anomaly of variable for efficient conformance testing. And it showed that anomaly of variable was got rid of applying this algorithm to real protocol.

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Development of Cadastral Data Model based on LADM to Manage Cadastre Survey Results in Korea

  • Kim, Jung Eun;Kim, Yun Ji;Lee, Jiyeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.3
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    • pp.165-176
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    • 2018
  • To solve the inconsistencies between realistic boundaries and the cadastral record boundaries, the cadastral resurvey project has been funded by a large budget since 2012 and executed over a long period of time until 2030. However, if the causes of inconsistencies are not analyzed and addressed, these inconsistencies could possibly reoccur. Even though the causes of inconsistencies can be defined in several aspects, including regulations, surveying methods, and management of cadastre maps or survey results, and so on, this study focuses on analyzing the inconsistency problems in the management of cadastre maps or survey results. In order to resolve the problems in inconsistencies between the cadastre maps and survey results, the study proposes to develop the cadastre data model based on LADM (Land Administration Domain Model) to manage the cadastre maps and survey results in better ways. In order to proposed the Cadastre Data Model, we analyzed the cadastre management system implemented in Korea and identified requirements to resolve the problems in inconsistencies, which are considered in the proposed data model as follows: 1) cadastral management system based on individual parcels, 2) synthesis of a realistic boundary and cadastral record boundary, 3) management of official and sharing reference data, 4) consistent management of survey results and parcel boundaries, 5) temporal managements of parcel boundaries. In the end, this study proposes a cadastral data model based on the LADM to integrate and manage the cadastral surveying results of the new cadastral management system.

Development of Plant Engineering Analysis Platform using Knowledge Base (지식베이스를 이용한 플랜트 엔지니어링 분석 플랫폼 개발)

  • Young-Dong Ko;Hyun-Soo Kim
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.139-152
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    • 2022
  • Engineering's work area for plants is a technical area that directly affects productivity, performance, and quality throughout the lifecycle from planning, design, construction, operation and disposal. Using the different types of data that occur to make decisions is important not only in the subsequent process but also in terms of cyclical cost reduction. However, there is a lack of systems to manage and analyze these integrated data. In this paper, we developed a knowledge base-based plant engineering analysis platform that can manage and utilize data. The platform provides a knowledge base that preprocesses previously collected engineering data, and provides analysis and visualization to use it as reference data in AI models. Users can perform data analysis through the use of prior technology and accumulated knowledge through the platform and use visualization in decision-support and systematically manage construction that relied only on experience.

DEVELOPMENT OF XML BASED PERSONALIZED DATAASE MANAGEMENT SYTEM FOR BIOLOGISTS

  • Cho Kyung Hwan;Jung Kwang Su;Kim Sun Shin;Ryu Keun Ho
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.770-773
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    • 2005
  • In most biological laboratory, sequences from sequence machine are stored into file disks as simple files. It will be hard work to store and manage the sequence data with consistency and integrity such as storing redundant files. It is required needed to develop a system which integrated and managed genome data with consistency and integrity for accurate sequence analysis. There fore, in this paper, we not only store gene and protein sequence data through sequencing but also manage them. We also make a integrate schema for transforming the file formats and design database system using it. As integrated schema is designed as a BSML, it is possible to apply a style language of XSL. From this, we can transfer among heterogeneous sequence formats.

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