• Journal of Digital Convergence
• /
• v.10 no.3
• /
• pp.113-119
• /
• 2012

Even though the rapid development of IT technique accelerates informationization for quality improvement of university, security measures are needed for security problems because the major information related to academic affairs is centered on academic database. In this paper, we research and analyze the actual condition of database security of domestic university to develop process model that can consistently keep and improve the security of academic database which is the most important data in university. Also, considering the situation that a lot of universities can't use database security product, we propose details that implement the most important key part like confidentiality with the function that DBMS provides only.

• Korean Management Science Review
• /
• v.19 no.1
• /
• pp.129-142
• /
• 2002

Data fusion Is a technique used for creating an Integrated database by combining two or more databases that include a different set of variables or attributes. This paper attempts to apply data fusion technique to customer relationships management (CRM), in that we can not only plan a database structure but also collect and manage customer data In a more efficient way In particular our study Is useful when no s1n91e database Is complete, i.e., each and every subject in the pre-integrated database contains somewhat missing observations. According to the way of treating the common variables, donors can be differently selected for the substitution of the missing attributes of recipients. One way is to find the donor that has the highest correlation coefficient with the recipient by. treating common variables metrically The other is based on the closest distance by the correspondence analysis in case of treating common variables nominally. The predictability of data fusion for CRM can be evaluated by measuring the correlation of the original database and the substituted one. A Monte Carlo Simulation analysis is used to examine the stability of the two substitution methods in building an integrated database.

• Journal of KIISE:Databases
• /
• v.31 no.3
• /
• pp.243-251
• /
• 2004

Most programs of bioinformatics provide biochemists and biologists retrieve and analysis services of gene and protein database. As these services retrieve database for each arrival of user's request, it takes a long time and increases server's load and response time. In this paper. by utilizing database retrieval patterns of sequence alignment programs in bioinformatics, grouping method is proposed to share database retrieval between many requests. Carpool method is also proposed to reduce response time as well as to increase system expandability by combining new arriving requests with the previous on going requests. The performance of our two proposed schemes is verified by mathematic analysis and simulation.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.1137-1144
• /
• 2024

Reducing the environmental impact in the construction industry is essential for a sustainable future, and life cycle assessment (LCA) should be effectively conducted to reduce the environmental impact. The construction industry is one of the fields that emits a large amount of Greenhouse Gas (GHG). It is also characterized by many material inputs and a one-off single production. Therefore, it took a lot of effort to evaluate all the input materials, and it was difficult to implement a detailed LCA. There is need to solve these problems and to establish a fair and reliable evaluation method. In order to solve this problem, it is proposed to establish a common rule for calculating environmental loads of buildings, such as carbon dioxide emissions. In addition, by effectively utilizing the Inventory Database for Environmental Analysis (IDEA) database, which is an inventory database developed in Japan. It can evaluate not only carbon dioxide but also various environmental substances, and analyze how the environmental impact is correlated with each building and its constituent materials. Furthermore, by analyzing the actual buildings of 83 projects, the differences in the tendency of building type and materiall was clarified. A database was constructed to help reduce the environmental impact during the early stages of construction project and for different types of buildings.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.62 no.9
• /
• pp.1199-1208
• /
• 2013

In recent years, the development of application programs for distribution system analysis and control has been essential part for distribution management system (DMS). In this paper, we propose the common database for application programs of distribution management system. The proposed database model has several characteristics as followings. First, the proposed database model is designed for the common use of almost the whole distribution application software. The static equipment model and dynamic type tables are mixed and the parallel table structure is applied. Second, the linked list structure of database are used for the fast processing of applications. The database model includes the hierarchy and non-hierarchy distribution system structure. Third, the reduction method of distribution database is applied. For this, we present the network reduction rules. The basic concept of reduction rules are the electrical unification of successive line section which has not lateral branches and the removal of simple lateral branches which has no devices and other laterals. Proposed database model is tested for the Jeju system of Korea Electric Power Corporation (KEPCO). Through the test, we verified that the proposed database structure can be effectively used to accomplish the distribution system operation.

• Journal of the Korean Institute of Gas
• /
• v.12 no.3
• /
• pp.56-63
• /
• 2008

We have garnered 3,593 data of gas [Natural Gas (NG) and Liquefied Petroleum Gas (LPG)] accidents reported for 16 years from 1991, and then analyzed the accidents according to their types and causes based on the classified database. According to the results the gas leak has been the most common accident followed by the explosion and then fire accidents. The most frequent accident-occurring locations for fire, explosion and leak are recognized around the valve, hose and pipeline, respectively. In addition, we have applied the Poisson analysis to predict the most-likely probabilities of fire, explosion and release in the upcoming 5 years. From this research we have assured the successive database updating will highly improve the anticipating-probability accuracy and thus it will play a key role as a significant safety-securing guideline against the gas disasters.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.25 no.5
• /
• pp.46-52
• /
• 2002

Today's database system needs to collect huge amount of questionnaire that results from development of the information technology by the internet, so it has to be administrable. However, there are many difficulties concerned with finding analytic data or useful information in the high capacity-database. Data mining can solve these problems and utilize the database. Questionnaire analysis that uses data mining has drawn relevant patterns that did not look or was tended to overlook before. These patterns can be applied by a new business rule. The purpose of this research is to analyze the questionnaire results and to present the result that can help to make decision easily with data mining. Recognition and analysis about these techniques of data mining show suitable type of questionnaire survey. This research focus on the form of present composition and the model of suitable questionnaire to analyze the type of it. Also, the comparison between the actual questionnaire result and the conventional statistical analysis is examined.

• Advances in Energy Research
• /
• v.1 no.1
• /
• pp.13-33
• /
• 2013

The present work is an attempt to provide an overview, about the status of R&D and current trends in Hydrogen Production using High Temperature Reactors. Bibliographic references from the INIS database, the Science Direct database and the NTIS database were downloaded and analyzed. Ten year data on the subject, published between 2001 and 2010, was selected for the study. Appropriate qued ry formulations on these databases, resulted in the retrieval of 621 unique bibliographic records. Using the content analysis method, all the records were analyzed. Part One of the analysis details Scientometric R&D indicators, Part Two is a subject-based analysis, grouped under: A. International Initiatives and Programmes for Hydrogen Production; B. European R&D initiatives for Hydrogen production; C. National Initiatives and Programmes for Nuclear Hydrogen Production; D. Reactor Technologies for Nuclear Hydrogen production; E. Fuel Developments; F. Hydrogen Production Processes using HTRs and G. Materials Consideration for Nuclear Hydrogen Production. The results of this analysis are summarized in the study.

• Journal of the Korean Dietetic Association
• /
• v.8 no.4
• /
• pp.387-397
• /
• 2002

Foodservice information systems management practices were assessed in hospital foodservice operations. A total of 46 dietetic departments were responded for the study and their practices of foodservice information systems were analyzed. The respondents were questioned about general characteristics of respondents as well as hospital foodservices implementation status of information systems. Statistical data analysis was completed using the SPSS package program for descriptive analysis, factor analysis, t-test and ANOVA test. 43.2% of total respondents gained informations by benchmarking of other hospital foodservice operations, but 7.8% gained through career education. They expected the enhanced efficiency of their tasks through implementing information systems. Based on factor analysis, information systems were divided into 6 management areas such as database management, meal management, nutrition management, purchasing management, production management and foodservice management. The average implementing scores were : database management 3.77, meal management 3.26, nutrition management 3.52, purchasing management 3.26, production management 2.73 and foodservice management 3.70 (score 1 indicates very poor and score 5 is very good). Among database management areas, standard recipe database and food item specifications database build-up scores(3.91) were relatively very high, but meal assessment and foodservice management reporting scores(2.43) were very low. The results suggest that it is necessary to build up automated foodservice management reporting system for the improvement of efficiency and productivity of operational tasks.

• Journal of the Korean Society for information Management
• /
• v.27 no.1
• /
• pp.25-40
• /
• 2010

The purpose of this study is to analyze the usage pattern between each academic database through social network analysis, and to support the academic database for users's needs. For this purpose, we have extracted log data to construct the academic database networks in the proxy server of K university library and have analyzed the usage pattern among each research area and among each social position. Our results indicate that the specialized academic database for the research area has more cohesion than the generalized academic database in the full-time professors' network and the doctoral students' network, and the density, degree centrality and degree centralization of the full-time professors' network and the doctoral students' network are higher than those of the other social position networks.