• Convergence Security Journal
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• v.11 no.5
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• pp.53-63
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• 2011

The purpose of this study is to investigate the causal relationships among corporate social responsibility, job satisfaction, and organization commitment in the Private Security Provides's. One hundred eight one questionnaires, with a 72.4% response rate from a convenient sample of 12 security organization guards, were utilized to study the relationships between research constructs. SPSS(14.0 version) were guard to analyze the unintentionality of research concepts and reliability test, and confirmatory factor analysis were performed. Factor analyses identified three internal dimensions of relational factor as superior relation. There are among results, first, the corporate social responsibility is influencing to job satisfaction positively. second, the corporate social responsibility is influencing to organizational commitment positively. third, the job satisfaction is influencing to organizational commitment positively.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.6
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• pp.607-614
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• 2015

In this paper, structural analysis for the 16 core competencies of aircraft maintenance crew using FSM is carried out for the purpose of improving the capability of aircraft maintenance. As a result, the three groups of layers are composed of the 3 top layers, 3 middle layers and 10 lowest layers. These results make it possible to grasp the impact and importance. In addition, the core competency of aircraft maintenance crew can improve the maintenance quality and productivity through working on the spot. In this viewpoint, fuzzy relational matrix, which is used as a basis for evaluating the work, can be obtained from the data of the 100 aircraft maintenance crew for core competencies. In this paper, the efficiency of this model is shown by utilizing the 100 modeling data and the 67 checking data.

• Journal of the Economic Geographical Society of Korea
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• v.4 no.1
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• pp.19-35
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• 2001

This paper is concerned with the relationships between large firms with global reaches in their markets and subcontracting firms, mostly small and medium-sized firms. It then attempts to focus in more detail on the dynamic relational dimensions between the two. In doing so, we draw upon the secondary data and the results of interviewing survey with some senior managers. The empirical study shows that the localisation of subcontracting networks have been increasingly reinforced thanks to the increasing tendency of vertical disintegration by LC. However, it is identified that there is a tendency that local subcontractors are specialised in producing relatively low value-added and low technology-intensive electronic parts/components. Based on these results, the author suggests the implications of regional economic development in the context of innovation and learning.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.1
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• pp.178-199
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• 2014

This study aims to understand regional specificity and its impact on the IT service industry in Fairfax County. Fairfax County primarily specializes in the IT service in the United States, and it has cultivated a resilient and unique industrial environment. Business-related initiatives by the federal government have resulted in the influx and expansion of IT service firms, the formation of new small firms, the abundance of skilled workers, and the growth of the IT services related with the federal procurement market, though the government policies do not explicitly intend to affect the industrial path in Fairfax County. Meanwhile, local institutions have provided various programs and services for both incumbent firms and potential entrants, and have recently focused on the accumulation and leverage of relational assets among economic actors through a variety of networking venues.

• Journal of the Korean Home Economics Association
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• v.41 no.7
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• pp.121-143
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• 2003

The purpose of this study was to show general trends in the psychological environment of family and problem behaviors perceived by adolescents and examine possible changes in such trends in accordance with the individual variables of adolescent, and then find out the effect of these variables on adolescents' problem behavior. The subject were 1374 adolescents of middle school in Busan(male 698, female 676). The main results were as follows : (1) General trends in the degree of parental monitoring showed that girls had more high than boys, and in the degree of family discord, boys showed more high than girls. In the degree of openness of parent-adolescent communication perceived by adolescents showed that girls had more open communication with mother than boys. Such trends in problem behaviors indicated that adolescents had the attention problem most. According to gender, girls had more problems in withdrawal, somatic complain, anxiety/depression, thought problems, attention problems, destructivity/identity, internalizing problems, total behavior problems in comparison to boys. Boys did delinquent behaviors more than girls. (2) For boys, the monthly income of their family, family discord, and the mother-adolescent communication have a significant direct effect on internalizing problems, externalizing problems and total behavior problems. Besides mother's employment and the type of family have a significant indirect effect on behavior problem. For girls, mother's employment, parental monitoring, family discord, and father-adolescent communication have a significant direct effect on internalizing problems. Mother's employment, family discord, mother-adolescent communication have a significant indirect effect on externalizing problems and total behavior problems. Bisides mother's employment, grade, the type of family, dating have a significant indirect effect on behavior problem. (3) The variables to have a significant influence on the parental monitoring showed as the monthly income of their family, dating, mother's employment, the type of family, the family discord showed as mother's employment on the parent-adolescent communication showed as the type of family. (4) Family discord was the most powerful predicator of problem behaviors of middle school students.

• Journal of Society of Preventive Korean Medicine
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• v.14 no.1
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• pp.59-76
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• 2010

Background : The system for collecting and managing the terminologies of Korean oriental medicine is essential to facilitate researches of developing intelligent information architecture based on ontology. Objectives : The purpose of this paper is to develop system for collecting and managing system for terminologies of Korean oriental medicine. Methods : First we defined roles of users used in this system, and define the system workflow based on them. Then we developed web-based collecting and managing system in which multiuser can work simultaneously, and it is compose of relational database system. Results : The terminologies of Korean Oriental Medicine can be efficiently collected, purified, inspected, and utilized by using proposed system. Conclusions : The system, proposed in this paper, can be used the whole field of oriental medicines for basic technology and has great contributions to make intelligent information architecture of oriental medicine based on ontology concept.

• Journal of Information Technology and Architecture
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• v.10 no.4
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• pp.423-433
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• 2013

The purpose of this research is to propose a practical guideline for activating EA which has been operated in the public institutions. For this purpose, how EA is being operated in the public sector, was analyzed from the viewpoint of IT Governance and on the basis of the result, key activities for EA managers could be developed. The key activities were also compared between the two different groups in terms of EA Maturity Level and the difference in the key activities between the two were examined. As a result, it was found that the use of EA has effect on building and improving IT management systems. It is suggested that the Relational Mechanism should be better understood and recognized as necessary activities for activating EA. In addition, the higher the level of EA maturity is, the more likely such various effects as the enhancement of IT management system, user satisfaction, IT utilization, and the improvement of business can be produced. This result could be interpreted that such desired outcomes of EA could be realized only when EA is actively utilized.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.10
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• pp.477-482
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• 2016

As being the advanced analytics indispensable on big data for agile decision-making and tactical planning in enterprises, distributed processing platforms, such as Hadoop and Spark which distribute and handle the large volume of data on multiple nodes, receive great attention in the field. In Spark platform stack, Spark SQL unveiled recently to make Spark able to support distributed processing framework based on SQL. However, Spark SQL cannot effectively handle advanced analytics that involves machine learning and graph processing in terms of iterative tasks and task allocations. Motivated by these issues, this paper proposes the design of SQL-based big data optimal processing engine and processing framework to support advanced analytics in Spark environments. Big data optimal processing engines copes with complex SQL queries that involves multiple parameters and join, aggregation and sorting operations in distributed/parallel manner and the proposing framework optimizes machine learning process in terms of relational operations.

• The Transactions of the Korea Information Processing Society
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• v.4 no.7
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• pp.1719-1732
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• 1997

In the software development process, various development product are made in each phase of lifecycle. Formless software is visualized by products, and quality management is implemented by management for products. But, because standardization for products which is made in the development process is not established practically, developers use different development methodologies or documentation specifications. Therefore the reality is that quality evaluation is not implemented along standardized methodology or systematic process. In this paper, we constructed quality management system and designed and implemented analysis phase quality evaluation toolkit. We constructed quality external and internal character to evaluate software quality for quality management and constructed relational metrics and system of qualitative quantitative evaluation element items and, under these systems, we constructed quality evaluation toolkit and Implemented functions and evaluated products.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.3
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• pp.181-189
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• 2004

This paper describes the method for detecting vehicles in the rear and rear-side at night by using headlight features. A headlight is the outstanding feature that can be used to discriminate a vehicle from a dark background. In the segmentation process, a night image is transformed to a binary image that consists of black background and white regions by gray-level thresholding, and noise in the binary image is eliminated by a morphological operation. In the feature extraction process, the geometric features and moment invariant features of a headlight are defined, and they are measured in each segmented region. Regions that are not appropriate to a headlight are filtered by using geometric feature measurement. In region classification, a pair of headlights is detected by using relational features based on the symmetry of a pair of headlights. Experimental results show that this method is very applicable to an approaching vehicle detection system at nighttime.