The purpose of this study was to identify the effect of microcomputer networking on user perception of potential threats to security employing user attitudes as a moderating variable. A research model consisting of microcomputer networking as the independent variable, user perception of potential threats to security as the dependent variable, and user attitude toward security control as the moderating variable was developed through literature review. The results of this study provide an empirical evidence of the importance of environmental change(information systems networking) on user perception of potential threats to security. Further-more the result imply that in order to improve security performance through the reinforcement of user perception of threats to security in the organization, user attitudes should be made favorable.

Digital image and video libraries require new algorithms for the automated extraction and indexing of salient image features. Eigen values of an image provide one important cue for the discrimination of image content. In this paper we propose a new approach for automated content extraction that allows efficient database searching using eigen values. The algorithm automatically extracts eigen values from the image matrix represented by the covariance matrix for the image. We demonstrate that the eigen values representing shape information and the skewness of its distribution representing complexity provide good performance in image query response time while providing effective discriminability. We present the eigen value extraction and indexing techniques. We test the proposed algorithm of searching by eigen value and its skewness on a database of 100 images.

Object-oriented development methodologies require consistent and seamless object-oriented paradigm to be applied from analysis to testing. Testing must focuses on the state of aggregated objects. This paper suggests testing methods that satisfy such requirements. In order to confirm appropriate implementation of the user requirements, the methods apply extended use case[Jacobson et al., 1992] that are prepared form analysis stage. Testing must be performed based on the use cases because the user requirements are formally documented in the use cases. The notations of the original use case are modified for the state-based testings. The testing methods consist of a unit testing and four-level of integration testing. Particularly, the level 0 testing is based on FREE state machine [Binder, 1995, 1996]. The testing methods have been applied to 3 projects and proved their practicability.

This paper makes an attempt to find a systematic portion of the database design process, especially using the Entity-Relationship(E-R) model. Basically, we consider three aspects as a systematic portion of the database design process. They are, the strategy that a designer selects to design an E-R diagram, designer's cognitive style, and the knowledge and preference of the database designer. An experiment has been carried out in order to verify the systematic relationship between above-mentioned three aspects and the E-R modeling performance. The target system is a professional baseball system. A normative E-R diagram was constructed based upon 48 E-R diagrams produced during the experiment. The ANOVA process has been used to analyze the results. It has been found that there exist significant differences in query-answering capacity and the completeness of the E-R model among design methods. Individual differences in cognitive styles has not been found to be significantly related to the modeling performance.

The performance of relational database is measured by the number of disk accesses necessary to transfer data from disk to main memory. The paper proposes to vertically partition relations into fragments and to allow attribute replication to reduce the number of disk accesses. To reduce the computational time, heuristic search method using genetic algorithm is used. Genetic algorithm used employs a rank-based-sharing fitness function and elitism. Desirable parameters of genetic algorithm are obtained through experiments and used to find the solutions. Solutions of attribute replication and attribute non-replication problems are compared. Optimal solutions obtained by branch and bound method and by heuristic solutions(genetic algorithm) are also discussed. The solution method proposed is able to solve large-sized problems within acceptable time limit and shows solutions near the optimal value.

This paper proposes analyses of characteristics and the technical components of Korean enterprise network. Based on a survey from professionals of Korean companies, we present statistical summaries of building blocks of hardware and software of the networks implemented in Korean companies. We also perform statistical analyses to find the relationships among the technical components and to extract major technical factors that differentiate enterprise networks by the business types and the size of the companies. We conclude that some of the technical factors are closely correlated and some of them are found to differentiate networks by the business types and the size of the companies.

Data Naming has been a long-lived issue in data management. A data name is a basic vehicle to convey meanings of data. Thus, names are organized in such a way that anyone can understand their meanings with ease; however, Korean data names have been organized based on English-like naming scheme. This paper proposes a Korean data naming scheme. For this, we specify information that data names should include. Secondly, we propose rules to organize data names. For real world applications, a database system is proposed to manage data names. The database is expected to provide a starting point that on organization can develop its own data name repository.

The price structure of housing market varies depending upon market price policy rather than low or high price policy because of IMF. The object of this study is to develop an analysis system for analyzing housing market and its demand. The analysis system consists of four major categories: macro index analysis, market decision analysis, housing market analysis, and consumer analysis. We model each category by using a variety of techniques such as generalized linear model, categorical analysis, bubble analysis, drill-down analysis, price sensitivity meter analysis, optimum price index analysis, profit index measurement analysis, correspondence analysis, conjoint analysis, and multidimensional scaling analysis. Seoul apartment data is analyzed to demonstrate the practical usefulness of the system.