• Journal of KIISE
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• v.43 no.9
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• pp.1052-1059
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• 2016

A key role in cloud computing systems that is becoming an issue is implementing a database on untrusted cloud servers requiring the complexity of key management. This study proposes a key management system using Self Proxy Servers to minimize key executions and improve the performance of cloud services by generating Self-Creating Algorithms where the data owner is not directly concerned with related keys when a user sends an encrypted database a query. The Self Proxy Server supports active and autonomous key managements as a distributed server if any trouble should arise from a cloud key server and for an efficient cloud key management. Therefore, the key management system provides secure cloud services by supporting confidentiality of a cloud server database.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.3
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• pp.469-476
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• 2016

Relational Database Management Systems have become de facto database model among most developers and users since the inception of Data Science. From IoT devices, sensors, social media and other sources, data is generated in structured, semi-structured and unstructured formats, in huge volumes, thereby the difficulty of data management greatly increases. Organizations that collect large amounts of data are increasingly turning to non relational databases - NoSQL databases. In this paper, through experiments with real field data, we demonstrate that MongoDB, a document-based NoSQL database, is a better alternative for building a Telco Subscriber Data Management System which hitherto is mainly built with Relational Database Management Systems. We compare the existing system in various phases of data flow with our proposed system powered by MongoDB. We show how various workloads at some phases of the existing system were either completely removed or significantly simplified on the new system. Based on experiment results, using MongoDB for managing telco subscriber data turned out to offer performance better than the existing system built with MSSQL Server.

• Journal of Information Management
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• v.34 no.1
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• pp.59-75
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• 2003

This study described about development the integrated management system for research reports and construction full text database of KAERI reports. This system enables centralization of various information related to reports by connecting with management information system. The advantages of this study are consistency of database between digital library and MIS, reduction of budget and manpower and increase of research productivity.

• Journal of Korean Society of Archives and Records Management
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• v.3 no.2
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• pp.98-113
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• 2003

In comparison with conventional types of documents, photographs present special problems in the management of any archives because of their physical properties and the nature and format of their informational content This paper is case study for the effective photographs management at the university archives. At first, sort out photographic images in the university publications, draw up work sheet by the bibliographic information of the photographic images and construct a bibliographic database based on the work sheet. Secondly, the photographic images is linked with bibliographic database. In result, users can confirm immediately photographic images on the screen by searching OPAC. This paper concludes with a problem and improvement of the photograph database at the university archives.

• Water Engineering Research
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• v.5 no.4
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• pp.157-176
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• 2004

This research presents a prototype development and implementation of Decision Support System (DSS) for integrated river basin water management for the flood control. The DSS consists of Relational Database Management System, Hydrologic Data Monitoring System, Spatial Analysis Module, Spatial and Temporal Analysis for Rainfall Event Tool, Flood Forecasting Module, Real-Time Operation of Multi Reservoir System, and Dialog Module with Graphical User Interface and Graphic Display Systems. The developed DSS provides an automated process of alternative evaluation and selection within a flexible, fully integrated, interactive, centered relational database management system in a user-friendly computer environment. The river basin decision-maker for the flood control should expect that she or he could manage the flood events more effectively by fully grasping the hydrologic situation throughout the basin.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.433-436
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• 2008

A demand on the spatial data management has been rapidly increased with the introduction and diffusion process of ITS, Telematics, and Wireless Sensor Network, and many different people use the digital map that offers various thematic spatial data. Spatial data for digital map can manage to tile-based and feature-based data. The existing tile-based digital map management systems have difficult problems of data construction, history management, and updating based on a spatial object. In order to solve these problems, this paper proposed the data model for the feature-based digital map management system that is designed for feature-based seamless map, history management, real-time updating of spatial data, and analyzed the validity and utility of the proposed model.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.19 no.1
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• pp.162-168
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• 2005

This paper concerns developing a real time on-line light facility management system using internet and building a database system for control box and street light. Also, we designed the system to minimize the disparity with the conventional management system by referring to an old management ledger format. Thus, the proposed method may enable the system manager to administer the light facility efficiently and to reduce manpower and maintenance cost.

• ETRI Journal
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• v.44 no.5
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• pp.780-793
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• 2022

Large-scale ontology management is one of the main issues when using ontology data practically. Although many approaches have been proposed in relational database management systems (RDBMSs) or object-oriented DBMSs (OODBMSs) to develop large-scale ontology management systems, they have several limitations because ontology data structures are intrinsically different from traditional data structures in RDBMSs or OODBMSs. In addition, users have difficulty using ontology data because many terminologies (ontology nodes) in large-scale ontology data match with a given string keyword. Therefore, in this study, we propose a (graph database-based ontology management system (GOMS) to efficiently manage large-scale ontology data. GOMS uses a graph DBMS and provides new query templates to help users find key concepts or instances. Furthermore, to run queries with multiple joins and path conditions efficiently, we propose GOMS encoding as a filtering tool and develop hash-based join processing algorithms in the graph DBMS. Finally, we experimentally show that GOMS can process various types of queries efficiently.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.377-386
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• 2017

This study has developed a medical information management educational program that can improve the management ability of medical information. The educational medical information management program was developed for 8mnths uing VB. The database utilized the ACCESS Database, which allows learners to easily understand and understand the structure of the data. The learners enter data in the discharge analysis and the cancer registration program and the incomplete program after analyze the medical records. After entering and saving data, medical information management programs can be used to understand and analyze the structure of the database to generate medical information. The educational programs can improve the ability of learners to manage medical information by extracting the necessary data from the database directly through SQL and creating various medical information. However, although the medical information management program is an educational program, there is no evaluation system for the learners program operation. Accordingly, the next studies should develop the assessment system of the medical information management program for learners evaluation.

• Korean Journal of Oriental Medicine
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• v.18 no.1
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• pp.35-43
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• 2012

Objectives: Hypertension is the highest ratio among chronic disease in Korea, and the western medical information about hypertension is provided by many web sites. Advanced researches about hypertension have been conducted in Traditional Korean Medicine(TKM) for decades, but the research results are not arranged. So the results have not been utilized in following research nor contributed to the expansion of public knowledge. Methods : We did this study to improve this situation. In this study, we built database about advanced research articles related hypertension in TKM and implemented TKM information system of hypertension. Results : First, we benchmarked hypertension information systems and designed the TKM information system based on the benchmarking results and comments from TKM doctors. And it was composed of introduce, treatment, and etc. Second, we built prescription, herb, acumoxa, qigong, prevention/management, and pill database which is about 600 data extracted from papers and books. Third, we implemented JAVA/JSP based web information system which provides the database. And we created links for the each papers and books to use more easily. Conclusions : If we provide the research results about TKM hypertension diagnosis and combinational medication of western and oriental medicine, this information system will be more useful. And if we add internal and external project report about hypertension, it will be more worthy.