• Journal of Korean Society of Rural Planning
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• v.19 no.4
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• pp.319-327
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• 2013

The objective of this research was to develop a relational database management system(RDBMS) to collect, manage and analyze data on agricultural non-point source(NPS) pollution. The system consists of the relational database for agricultural NPS data and data process modules. The data process modules were composed of four sub-modules for data input, management, analysis, and output. The data collected from the watershed of the upper Cheongmi stream and Geunsam-Ri were used in this study. The database was constructed using Apache Derby with meteorological, hydrological, water quality, and soil characteristics. Agricultural NPS-Data Management System(ANPS-DMS) was developed using Oracle Java. The system developed in this study can deal with a variety of agricultural NPS data and is expected to provide an appropriate data management tool for agricultural NPS studies.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.113-131
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• 2002

The relationships among multi-dimensional data (such as medical examination data) with ambiguity and variation are difficult to explore. The traditional approach to building a data classification system requires the formulation of rules by which the input data can be analyzed. The formulation of such rules is very difficult with large sets of input data. This paper first describes two classification approaches using back-propagation (BP) neural network and Mahalanobis distance (MD) classifier, and then proposes two classification approaches for multi-dimensional feature selection. The first one proposed is a feature selection procedure from the trained back-propagation (BP) neural network. The basic idea of this procedure is to compare the multiplication weights between input and hidden layer and hidden and output layer. In order to simplify the structure, only the multiplication weights of large absolute values are used. The second approach is Mahalanobis-Taguchi system (MTS) originally suggested by Dr. Taguchi. The MTS performs Taguchi's fractional factorial design based on the Mahalanobis distance as a performance metric. We combine the automatic thresholding with MD: it can deal with a reduced model, which is the focus of this paper In this work, two case studies will be used as examples to compare and discuss the complete and reduced models employing BP neural network and MD classifier. The implementation results show that proposed approaches are effective and powerful for the classification.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.1
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• pp.14-24
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• 2011

Though many researchers have interested in the effects of creativity management on the business performance, few have researched the relationship between management execution systems for creativity management and the performance. This paper tried to identify the relationship between management execution systems for creativity management and the performance by using 181 Korean companies' survey data. In this paper, a creative management execution system is modelled by the six criteria that are widely used in the Malcolmn Baldrige National Quality Award, and the performance is measured by a composite variable called by business capability. Through an analysis of survey data using factor analysis and regression analysis, this paper tried to answer two research questions: Firstly, does creative management execution systems have the characteristics of multi-dimensionality? Secondly, does creative management execution systems have an impact on the firm's performance? It was found that a creative management execution system largely consists of two parts, which are called 'system factor' and 'management support factor', and system factors have a more strong impact on the performance. The contribution of this paper is in suggesting that establishing a systematic creative management execution system is required in order to efficiently manage for creativity.

• Journal of environmental and Sanitary engineering
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• v.18 no.4
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• pp.15-23
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• 2003

The purpose of this study is to construct e-Nonsan, a user friendly river quality management information system for Nonsan-si basin using GIS (geographical information system) technology. GIS was ideally suited featuring a geographical characteristics(e.g., industries, cattle sheds) and very effectively used in mapping and symbolization for the distribution of the spatial/periodic status(e.g., pie or column chart) of the point/non-point pollutant source loads which can be effectively applied to a information system on the web-site. And a user interface, GUI(graphic user interface) was designed very diversely and simply enabled the and non environmental experts connect with the system and obtain a useful information of river quality. e-Nonsan, a visual mapping system for river quality was developed by reframing the monitoring data as graphic symbols and it was ideally suited to exploring area-wide river quality at a user-friendly manner due to extensibility and scalability along the various survey points. Eventually the final step of this study was to construct e-Nonsan based on Web-GIS could be assessed anywhere if internet service is available and offer a very useful information services of the river quality to the publics.

• Journal of Navigation and Port Research
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• v.26 no.2
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• pp.153-159
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• 2002

An empirical study was carried out to examine how Container Terminals in Busan view quality management activities by the provision of statistical evidence showing the efforts to enhance the standard of quality management, common factors of quality management activities and causal relationship among these factors. The data investigating the quality management for Busan Container Terminals were collected from 170 persons in charge of quality management for port services in Busan Container terminals by the use of questionnaire method and personal interviews. The Cronbach's a coefficient and factor analysis were used to analyze the reliability and the validity of measured variables. Furthermore, SEM (Structural Equation Modeling) method using AMOS(Analysis of MOment Structure) 4.0 was usea to analyze the cause-effect relationship among the source, activities and accomplishments of quality management representing the core concept of quality management system.

• The Journal of Engineering Geology
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• v.31 no.1
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• pp.31-42
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• 2021

Database of Cut-slope management system (CSMS) has been constructed based on investigations of all slopes on the roads of the whole country. The investigation data is documented by human, so it is inevitable to avoid human-error such as missing-data and incorrect entering data into computer. The goal of this paper is constructing a prediction model based on several machine-learning algorithms to solve those imperfection problems of the CSMS data. First of all, the character-type data in CSMS data must be transformed to numeric data. After then, two algorithms, i.g., multinomial logistic regression and deep-neural-network (DNN), are performed, and those prediction models from two algorithms are compared. Finally, it is identified that the accuracy of DNN-model is better than logistic model, and the DNN-model will be utilized to improve data-quality.

• Journal of the Society of Naval Architects of Korea
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• v.51 no.6
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• pp.510-520
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• 2014

Unlike other mass production in small variety, shipbuilding process is a project-based method in single variety, which causes unpredictable volatility in the planning system. In shipyards, series of manufacturing processes from fabrication to erection is sequentially carried out. In order to predict unfavorable changes such as overload or low load of working volume, computerized simulation has been being gradually adopted. The data used in the simulation are processed from the database of the main scheduling and planning system. Thus the quality of those data is very crucial for the meaningful results. Unfortunately, research on the verification of data quality is very rare and hardly known to the authors. In this work, using the database of scheduling and product information system of a large domestic shipyard, the data required for the simulation are qualitatively analyzed and verified.

• The Korean Journal of Health Service Management
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• v.9 no.3
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• pp.1-11
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• 2015

Objectives : The aim of this study was to identify the relationship between Organizational Citizenship Behavior (OCB) and quality of service (QoS) on pay satisfaction for employees at small-and medium-sized hospital that adopted an annual salary system. Methods : The subjects were 136 employees working at 2 Small-and Medium-sized Hospitals in Seoul and Daejeon. The data were collected from May 11 to May 22, 2015 using a structured questionnaire. For data analysis, descriptive statistics, Pearson correlation coefficient, t-test, ANOVA and Scheffe test were used with the SPSS 21 package. Results : The mean score for pay satisfaction perceived by the employees at small-and medium-sized Hospitals that adopted an annual salary system was 1.74. The mean score for OCB and QoS was 4.02 and 4.43, respectively. The pay satisfaction perceived by the employees at small-and medium-sized Hospitals that adopted an annual salary system were positively related to the OCB. Pay satisfaction was positively related to the QoS; however, it was not statistically significant. The OCB and QoS showed a significant difference in age, marital status, and education level. Conclusions : Small and Medium sized Hospitals have to develop an efficient pay management system which evaluates the CSFs and KPI of every department or staff member.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.12
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• pp.63-69
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• 1996

As the significance of quality in the sense of customer satisfaction is growing, the management of quality becomes one of the main interests in the manufacturing systems research. This paper presents the concept of quality-driven CIM(Computer Integrated Manufacturing) system which is composed of a business process domain and a quality domain. In the business process domain, business functions are integrated by conventional design and manufacturing databases on the one hand, and an integrated quality system is interlinked to them via several quality modules on the other hand. Quality information model connects the business process domain with the quality domain where various types of quality data are stored in the form of quality database. This framework helps a manufacturing enterprise to implement the quality-driven CIM system to achieve its final objective "customer satisfaction".ion".uot;.

• Journal of Korean Society for Quality Management
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• v.42 no.4
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• pp.701-716
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• 2014

Purpose: In the paper, I studied success factors and measures for win-win quality management for boosting corporate competitiveness through the achievement of high quality. Methods: As such, to that end, data of companies' win-win quality management activities and Cooperation performance were gathered. Also, I had a literature review and working staffs'opinions were gathered to develop items related to trade dependence, quality cooperation, and mutual trust and cooperation. To develop the questionnaire, sufficient literature survey was conducted, and advice was sought from experts of manufacturing companies which practice Win-Win Cooperation. Results: Based on these previous researches and analysis by structural equation modeling, among trade dependence factors, overall, other factors except financial dependence and some detailed factors were found to have a relatively significant influence relation. Conclusion: The findings of this study suggest that if individual organizations can construct an effective quality improvement system and positively pursue win-win activities, it will contribute greatly to achieving high quality and improving financial performance. However, given the time and regional limits of this study, more in-depth studies need to be conducted on measures for boosting quality competitiveness through Win-Win Cooperation.