• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.66
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• pp.27-35
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• 2001

The Gateway Server Authorization System(GSAS) presented in this thesis is a database authorization system. GSAS is responsible for user\`s authorization, and privilege management, audit service. Only users that are filtered in GSAS can access the DBMS(Data Base Management System) through middleware. GSAS is located at the DBMS and already contains an authorization record for user accessing a specific DBMS. GSAS on consists of several components, namely an authorization manager, a privilege manager, and an audit manager. As an authorization manager and a privilege manager can only approve a pass at the same time, a user can get accessibility for DBMS.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.16 no.3
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• pp.23-32
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• 2012

Objectives: The objective of this study is to investigate and valuate currently provided database management systems (DBMS) of traditional Korean medical knowledge. Methods: We searched DBMS on the web and smart device application markets (Apple App Store and Google Play Store). Key words for searching were 'traditional medicine', 'acupuncture', 'moxibustion', 'herbal medicine', and '한의학'. We looked into each DBMS to find out its scopes and limits, and each was valuated according to its functionality, accessibility, and utility. Results: 186 DBMS of traditional Korean medical knowledge were investigated and 91% of them were applications for smart devices. Almost all DBMS provided acupuncture and herb information, and a small amount of DMBS provided prescription and research paper information. Functionality, accessibility, and utility valuation were performed by using scoring system from 0 to 2. Mean values of functionality, accessibility, and utility were 0.86, 1.29, and 1.09. Conclusions: On the whole, high accessibility and low functionality were found, and various data-calculating functions were not implemented. Further researches and developments about traditional Korean medical knowledge DBMS are necessary to provide correct traditional Korean medical information and to support the studies about Korean medicine.

• Journal of the Society of Naval Architects of Korea
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• v.51 no.1
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• pp.51-57
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• 2014

In the KIOST MOERI model ice basin, a lot of experiments to find the material properties of model ice and model ship tests are being performed. And therefore many data information was produced, yet it was saved as excel data format. In order to manage and use the data more effectively and systematically, a proper database management is required. To make realistic engineering DBMS(database management system), understanding of test process, the usage of data, design of data schema and computer language and system management are required. In this paper, basic design process and usage of DBMS based on network and multiple user concept is introduced.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.51-58
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• 2020

Most of the students in computer-related departments work on projects, and it is essential to use a database for project execution. To use such a database, it is necessary to install a Database Management System. However, it takes several minutes (hours) to install a DBMS, and some DBMS require a difficult installation process. Therefore, in order to solve this problem, this study proposed a system that can easily install DBMS using Docker. Docker is an open source project that automates the deployment of Linux applications into software containers. Docker Container is wrapped in a complete file system that includes everything necessary for the execution of software, and includes code, runtime, system tools, system libraries, and anything that is installed on the server. This guarantees that they will always run the same regardless of the environment in which they are running. After creating a database using this proposed system, you can check the database access information on the web and check the server status in minutes. As a result of of implementing this proposed system and applying it to the projects of 10 teams, the installation time was reduced by 94.5% for Maria DBMS and 98.3% for Oracle DBMS than individual installation, confirming improved efficiency.

• Journal of Internet Computing and Services
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• v.6 no.1
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• pp.73-84
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• 2005

ALTIBASE/sup TM/ is the relational main-memory DBMS in which a main memory is primarily used as the main storage device. We present the database replication strategies and techniques of the ALTIBASETM system in order to meet the requirement of high availability and efficient transaction processing. Our process architecture for replication management and its communication model are proposed, and database replication protocols are also described. We show the experimental result of transaction processing rate with various DBMS parameters and overall performance of database replication system as compared to standalone system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.805-808
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• 2014

The DBMS is a database management software system to access by people. It is an open source DBMS, such as MySQL and commercial services, such as ORACLE. Since MySQL has been acquired by Oracle, MariaDB released increase demand. NoSQL also are increasing, the trend is of interest, depending on the circumstances. Based on the same type of mass data, Depending on the performance comparison between the open source DBMS is required, and The study compared the performance between MariaDB and MongoDB. This paper proposes a DBMS for big data to process.

• Korean Management Science Review
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• v.20 no.2
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• pp.1-16
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• 2003

Previous research on data extraction and integration for data warehousing has concentrated mainly on the relational DBMS or partly on the object-oriented DBMS. Mostly, it describes issues related with the change data (deltas) capture and the incremental update by using the triggering technique of active database systems. But, little attention has been paid to data extraction approaches from other types of source systems like hierarchical DBMS, etc. and from source systems without triggering capability. This paper argues, from the practical point of view, that we need to consider not only the types of information sources and capabilities of ETT tools but also other factors of source systems such as operational characteristics (i.e., whether they support DBMS log, user log or no log, timestamp), and DBMS characteristics (i.e., whether they have the triggering capability or not, etc), in order to find out appropriate data extraction techniques that could be applied to different source systems. Having applied several different data extraction techniques (e.g., DBMS log, user log, triggering, timestamp-based extraction, file comparison) to S bank's source systems (e.g., IMS, DB2, ORACLE, and SAM file), we discovered that data extraction techniques available in a commercial ETT tool do not completely support data extraction from the DBMS log of IMS system. For such IMS systems, a new date extraction technique is proposed which first creates Index database and then updates the data warehouse using the Index database. We illustrates this technique using an example application.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.499-501
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• 2003

As semiconductor memory becomes cheaper, the memory capacity of computer system is increasing. Therefore computer system has sufficient memory for a plentiful spatial data. With emerging spatial application required high performance, this paper presents a GIS database system in main memory. Memory residence can provide both functionality and performance for a database management system. This paper describes design of DBMS for storing, querying, managing and analyzing for spatial and non-spatial data in main-memory. This memory resident GIS DBMS supports SQL for spatial query, spatial data model, spatial index and interface for GIS tool or applications.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1275-1281
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• 2011

Most of the railway traffic control systems are using in the DBMS(Database Management System)is a disk-based DBMS. When the train schedule and the event data is inputted and referred at real time on Disk-based DBMS, it is characteristic of the slow access time and the data is preserved permanently. For this reason, this paper suggests the way of improving for Railway Traffic Control System by the hybrid DBMS using a combination of memory and disk. We apply the Hybrid DBMS to Railway Traffic Control System and compare the existing method with suggested one using the same data. As a result of comparison, we have come to the conclusion that suggested method is far more performance to shorten data access time and process a mass information than the previous methods.

• Journal of Korea Spatial Information System Society
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• v.11 no.2
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• pp.162-169
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• 2009

The real-time traffic data is generated continuous and unbounded stream data type while intelligent transport system (ITS) needs to provide various and high quality services by combining with spatial information. Traditional database techniques in ITS has shortage for processing dynamic real-time stream data and static spatial data simultaneously. In this paper, we design and implement an advanced traffic monitoring system (ATMS) with the integration of existed data stream management system (DSMS) and spatial DBMS using IntraMap. Besides, the developed ATMS can deal with the stream data of DSMS, the trajectory data of relational DBMS, and the spatial data of SDBMS concurrently. The implemented ATMS supports historical and one time query, continuous query and combined query. Application programmer can develop various intelligent services such as moving trajectory tracking, k-nearest neighbor (KNN) query and dynamic intelligent navigation by using components of the ATMS.