• Korean Journal of Remote Sensing
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• v.12 no.1
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• pp.43-59
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• 1996

The objective of this research is to investigate the potential of relational matching in one of the fundamental photogrammetric processes, that is initial approximation problem. The automatic relative orientation procedures of aerial stereopairs have been investigated. The fact that the existing methods suffer from approximations, distortions (geometric and radiometric), occlusions, and breaklines is the motivation to investigate relational matching which appears to be a much more general solution. An elegant way of solving the initial approximation problem by using distinct(special) relationship from relational description is suggested and experimented. As for evaluation function, the cost function was implemented. The detection of erroneous matching is incorporated as a part of proposed relational matching scheme. Experiments with real urban area images where large numbers of repetitive patterns, breaklines, and occluded areas are present prove the feasibility of implementation of the proposed relational matching scheme. The investigation of relational matching in the domain of image matching problem provides advantages and disadvantages over the existing image matching methods and shows the future area of development and implementation of relational matching in the field of digital photogrammetry.

• Korean Journal of Child Studies
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• v.32 no.3
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• pp.143-162
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• 2011

This study presents a meta-anlalytic review of 119 studies, published between 1990 and 2009, of gender differences and variables associated with overt and relational aggression during childhood and adolescence. Gender differences in overt aggression were found to be significantly higher in boys than girls, but significant gender differences in relational aggression were not found. Gender differences of only overt aggression are moderated by age and the reporter type. In general, both overt and relational aggression are more strongly related to maladjustment than adjustment. In addition to this, overt and relational aggression has both common and differential associations with relative levels of maladjustment and adjustment. The moderation of these effect sizes of both overt and relational aggression by age and the reporter type was found.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.6
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• pp.849-855
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• 2008

The Diagnostic Unit of CLINAID can infer working diagnoses for general diseases from the information provided by a user. This user-provided information in the form of signs and symptoms, however, is usually not sufficient to make a final decision on a working diagnosis. In order for the Diagnostic Unit to reach a diagnostic conclusion, it needs to select suitable clinical investigations for the patients. Because different investigations can be selected for the same patient, we need a process that can optimize the selection procedure employed by the Diagnostic Unit. This process, called a selection algorithm, must work with the fuzzy relational method because CLINAID uses fuzzy relational structures extensively for its knowledge bases and inference mechanism. In this paper we present steps of the selection algorithm along with simulation results on this algorithm using fuzzy relational products, both harsh product and mean product. The computation results of applying several different fuzzy implication operators are compared and analyzed.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.7
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• pp.1043-1054
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• 2002

The purposes of this study were to empirically examine the effect of relational benefits and relationship quality in the core variables of relationship marketing on customer satisfaction, to investigate the causal relationships among these variables. The questionnaires was administered to 417 women shopped in a fashion retail store in Gwang-ju city during January 14-18, 2002. For analysis of data, frequency, factor analysis, regression analysis, and path analysis were applied. The results were as follows: 1. The customers' perceived relational benefits were categorized as follow: 1) special treatment,2) social, and 3) psychological benefits. Relationship quality was categorized into two factors: trust and commitment 2. The relational benefits significantly influenced customer satisfaction. 3. The relational benefits significantly influenced relationship quality. 4. The relationship quality significantly influenced customer satisfaction. 5. The relational benefits had both direct and indirect effects on customer satisfaction mediated by relationship quality. The results indicated that causal relationship was existed among these three variables.

• Korean Journal of Remote Sensing
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• v.3 no.2
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• pp.115-119
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• 1987

After the introduction of the topologically structured geographic information system(GIS) with relational DBMS, the attribute data can be handled without considering locational data. By utilzing of the characteristic of the relational DBMS, it can be used as an expert system building tool in GIS. The relational DBMS of the GIS furnishes the data needed to perform deductive functions of the expert system, and the rule based approach provides the decision rules. Therefore, rule based approach with the expert judgement can be easily combined with relational DBMS.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1927-1938
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• 2008

Companies can build a close relationship by providing benefits that consumers want. As long relationships between consumer and company are stressed these days, it is very important for the growth and development of companies to assess what benefits consumers perceive and how they reflect them to their buying behaviors. Thus, this study aims to examine the relational benefits that consumers perceive in internet clothing purchase and how these perceived relational benefits affects relational commitment and customer loyalty. This study surveyed 343 male and female in their 20s and 30s for empirical analysis who have ever purchased clothing through internet shopping malls. Descriptive statistics, factor analysis, ANOVA analysis, Duncan test, and ${\chi}^2$-test are carried out using SPSS for Windows 12.0 for statistical analysis. The results are as follows. First, the dimensions of relational benefits perceived by consumers in internet clothing purchase are found 6 including customization, economic, psychological, social, shopping convenience, and informational. Second, consumers' perception of relational benefits significantly affect on relational commitment and loyalty, thus consumers with greater recognition of relational benefits have higher relational commitment and loyalty. Third, based on the dimensions of consumer's perceived relational benefit, consumers are categorized into 6 types: group perceiving social benefit, group perceiving economic/shopping convenience benefit, group perceiving shopping convenience benefit, group perceiving customization benefit, group perceiving informational benefit, and group perceiving psychological benefit. The group perceiving customization benefits have higher relational commitment and loyalty than the others. It is expected that this study will help internet companies establish customer relationship management strategies, which are needed to promote relationships with customers and to enhance customers' loyalty to internet shopping malls.

• Culinary science and hospitality research
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• v.20 no.4
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• pp.266-279
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• 2014

The purposes of the study are to segment the American family restaurant market based on relational benefits and to compare each group's demographics, dining characteristics, relationship quality(consumer identification, switching costs, satisfaction, commitment), and relational outcomes(positive word-of-mouth intentions and share of purchases). 510 responses were collected from American family restaurant customers and analyzed using frequency analysis, EFA, reliability test, cluster analysis, MANOVA, discriminant analysis, chi-square test, and ANOVA. The results of the study found three different types of relational benefits: confidence, special treatment, and social benefits. The results of cluster analysis identified three market segments, namely, high relational benefits consumers, medium relational benefits consumers, and low relational benefits consumers. The three groups were different in terms of age(p<0.05) and level of education(p<0.05). In addition, high relational benefits consumers showed a higher level of relationship frequency(p<0.001), relationship quality(p<0.001), and relational outcomes(p<0.001), followed by medium and low relational benefits consumers. Overall, the results indicated that family restaurants need to deliver excellent relational benefits to customers in order to achieve desired relationship quality and relational outcomes. Managerial implications were provided.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.301-305
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• 2007

Mapping of EXPRESS, which is object-favored language to represent IFC model, to Relational Database is not straightforward. Model size can be much bigger and data can be missed through process. However mapping to the object concept added database, such as Object Oriented Database or Object Relational Database, may be simpler and have lots of advantages. This study investigates previous IFC mapping studies, concept of Relational Database and Object Oriented Database, and mapping methodology to Object Relational Database using object.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.13-39
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• 2006

The primary purpose of this study is to examine the interaction effects of organizational characteristics as contextual variables on the relationship between relational exchange characteristics and ASP service performance. The effect of relational exchange characteristics on ASP service performance has been also investigated. For this purposes, we developed a research model based on the literature reviews of ASP services, relational exchange theory, and contingency theory. A total of 106 usable survey responses from companies using ASP services has been analyzed in the study. The findings indicate that (1) flexibility and partnership had a positive influence upon noneconomic profit, (2) information sharing had a positive influence upon economic profit, (3) organizational size and IS maturity had a partial moderating effect on the relationship between relational exchange characteristics and ASP service performance, and (4) the subgroup analysis, conducted to determine the exact nature of interaction effect, reveals that the relationship between relational exchange characteristics and noneconomic profit is significantly stronger with a high level of organizational size than with a low level, and that the relationship between relational exchange characteristics and economic profit is significantly stronger with a low level of IS maturity than with a high level.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.2
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• pp.109-122
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• 2003

As XML documents become popular in the World Wide Web, a lot of research is being done on XML storage systems that store and manage XML documents using existing DBMSS. However, most of them have been done in the context of relational DBMSS rather than object-relational DBMSS, which have more powerful modeling capability than relational ones. In this paper, we design and implement an XML storage system, ODYSSEUS/XMLStore, for the ODYSSEUS object-relational DBMS that has been under development at KAIST. First, we analyze the mapping from the structure of XML documents to the relational or object-relational database schema. Second, we propose a method for describing the mapping analyzed using a standard language, XML Schema. Third, we propose a storage structure for storing the mapping information specified by the users in the database. Fourth, we propose detailed algorithms for storing XML documents in the relational or object-relational database based on the mapping information provided by the users.