• Health Policy and Management
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• v.9 no.1
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• pp.110-138
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• 1999

This study intended to understand the factors influencing the utilization of charged retirement home services for the elderly by stage of discision making. At the same time the purpose of the study is also to present the results of this study as data for the expectation of the demand. The subject of this study was non-utilizer (635 persons) and utilizer (62 persons) of charged retirement home services over the age of sixty. Non-utilizer was selected by random sampling in urban and rural area, and utilizer was investigated by census survey in the three charged retirement home. The research method was interview survey by questionaire. The questionaire was composed of 59 items, 25 variables, 5 components. The research model was to add Andersen's Prediction Model. The components were predisposing component, enabling component, need component, actualizing component, psychologic component. The results of this study were as follows. 1)In the stage of recognizing the residence problem, the recognizer were 76.7% (487 persons) of all the non-utilizer. The factors of influencing were property (B=-4.1E-05), solidarity with children (B=-.1070), house satisfaction (B=-.2517), need of charged retirement home (B=.2614). 2)In the stage of selecting an altenative as utilizing of charged retirement home services, the selecter were 41.1% (261 persons) of all the non-utilizer. The factors of influencing were perception of charged retirement home (B=.2790), need of charged retirement home (B=.2971). 3)In the stage of decion-making, the decider were 29.6% (188 persons) of all the non-utilizer. The factor of influencing was need of charged retirement home (B=.3570). 4)In the stage of the actualization, the factors of influencing were charge ability of utilization (B=.1025), significant others (B=.1868). The upper results were implemented by using the statistical methods of frequency, t-test, $$\chi$^{2}$-test, multiple logistic regression ( and P 〈 .05 ).

• Management & Information Systems Review
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• v.33 no.5
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• pp.117-130
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• 2014

The purposes of this study were to consider the influence of person-late night fit in the perceived value, intent of late-night shopping. The late-night shopping model which we present in this study incorporates three effects including the time fit and the physiological fit, the mood fit factors. Also, we expect that these fits effect utilitarian value and hedonic value, in turn, utilitarian value and hedonic value effect shopping intent. Survey research is employed to test hypotheses involving late-night fits, values, shopping intent. We collected data involving various late-night shopping, and used 221 respondents to analyze these data using LISREL structural modeling. The proposed model was a good fit with the data(GFI= .96 NNFI= .80 CFI= .92, AGFI= .88, RMR= .044), the hypothesized relationships were partly significant(p< .05). In the final section, we discussed several limitations of our study and suggested directions for future research. We concluded with a discussion of managerial implications, including the potential to advance understanding experiential consumption and implying an enhanced ability to attract late-night shopper.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.37 no.2
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• pp.181-186
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• 2013

In recent years, eco-friendliness and high fuel economy have become important issues for commercial tractors. Electric tractors are often required for operation in a greenhouse. However, the battery capacity limits the available operation time. To overcome this problem, a plug-in hybrid electric tractor is considered a reasonable alternative. This tractor has a basic driving ability and can operate in various working modes such as mower, rotary, loader, and trailing. This study focuses on the energy management strategy by considering various working modes.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.680-685
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• 2006

Bridges are an integral part of Transportation that is always open to traffic.To effectively manage bridges today, more needs to be done to assess the day-to-day condition and behavior of bridges, and the deterioration rates of their components, so that efficient and proactive measures can be taken. Conventional methods consumemore time and they lack flexibility to reach all locations in high convoluted structures which most bridges offer. Instead, this work uses a new concept of robot, termed as Bridge inspecting robot, which, as its name suggests, possesses superior ability to flex, reach, and approach all points on the bridge. This study also provides economical feasibility model for the same and a comparison with existing bridge inspection and automated inspection work. Finally, we have uncovered few issues and did not analyze some information because of limitation to data.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.113-127
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• 2015

An interface in smart device environment is changing to TUI(touch user interface) environment where a system is being controlled by physical touch, differently from a system controlled through conventional mouse and keyboard. What is more important than anything else in this TUI environment is to implement interface in consideration of learn ability and cognitive constructivism according to user's experience. Therefore, now is the time when it is necessary to carry out various studies on smart content design process going a step farther together with discussing the details of user's experience factor. Hence, this study was intended to look into what effect a user's experiential traits had on the production of contents for the purpose of measures for improving TUI user satisfaction in order to effectively realize contents in smart environment. Results were yielded by using a statistical empirical analysis such as cross-tabulation analysis according to important variable and user, paired t-test, multiple response analysis, and preference frequency analysis of user preference on the basis of a survey. As a result, a system was presented for implementing DFSS(Design For Six Sigma) process. TUI experience factor can be divided into direct habitual experience, direct learning experience, indirect habitual experience, and indirect learning experience. And in the results of study, it was possible to find that the important variables of this study had a positive effect on the improvement of use satisfaction with contents on the whole according to the user convenience of smart contents. This study is expected to have a positive effect on efficient smart device-based contents production by providing objective information according to empirical analysis to smart media-based developer and designer and presenting a model for improving the changed TUI usability.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.76-82
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• 2017

Recently, the material industry in the world has started appreciating the value of new materials that can overcome the limitation of steel material. In particular, new materials are expected to play a very important role in the future industry, demonstrating superior performance compared to steel in lightweight materials and ability to maintain in high temperature environments. Carbon materials have recently increased in value due to excellent physical properties such as high strength and ultra lightweight compared to steel. However, they have not overcome the limitation of productivity and price. The carbon materials are classified into various composites depending on the purpose of use and the performance required. Typical composites include carbon-glass, carbon-carbon, and carbon-plastic composites. Among them, carbon-carbon composite technology is a necessary technology in aviation and space, and can be manufactured with high investment cost and technology. In this paper, in order to find the optimal conditions to achieve productivity improvement and cost reduction of carbon material densification process, the correlation between each process parameters and results of densification is first analyzed. The main process parameters of the densification process are selected by analyzing the correlation results. And then a certain linear relationship between major process variables and density of carbon materials is derived by performing a regression analysis based on the historical production result data. Using the derived casualty, the optimal management range of major process variables is suggested. Effective process operation through optimal management of variables will have a great effect on productivity improvement and manufacturing cost reduction by shortening the lead time.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.176-185
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• 2018

With the recent development of manufacturing technology and the diversification of consumer needs, not only the process and quality control of production have become more complicated but also the kinds of information that manufacturing facilities provide the user about process have been diversified. Therefore the importance of big data analysis also has been raised. However, most small and medium enterprises (SMEs) lack the systematic infrastructure of big data management and analysis. In particular, due to the nature of domestic manufacturing companies that rely on foreign manufacturers for most of their manufacturing facilities, the need for their own data analysis and manufacturing support applications is increasing and research has been conducted in Korea. This study proposes integrated analysis platform for process and quality analysis, considering manufacturing big data database (DB) and data characteristics. The platform is implemented in two versions, Web and C/S, to enhance accessibility which perform template based quality analysis and real-time monitoring. The user can upload data from their local PC or DB and run analysis by combining single analysis module in template in a way they want since the platform is not optimized for a particular manufacturing process. Also Java and R are used as the development language for ease of system supplementation. It is expected that the platform will be available at a low price and evolve the ability of quality analysis in SMEs.

• Convergence Security Journal
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• v.20 no.1
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• pp.33-40
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• 2020

The rainwater pumping station located near a river prevents river overflow and flood damages by operating several pumps according to the appropriate rules against the reservoir. At the present time, almost all of rainwater pumping stations employ pumping policies based on the simple rules depending only on the water level of reservoir. The ongoing climate change caused by global warming makes it increasingly difficult to predict the amount of rainfall. Therefore, it is difficult to cope with changes in the water level of reservoirs through the simple pumping policy. In this paper, we propose a pump operating method based on deep reinforcement learning which has the ability to select the appropriate number of operating pumps to keep the reservoir to the proper water level using the information of the amount of rainfall, the water volume and current water level of the reservoir. In order to evaluate the performance of the proposed method, the simulations are performed using Storm Water Management Model(SWMM), a dynamic rainfall-runoff-routing simulation model, and the performance of the method is compared with that of a pumping policy being in use in the field.

• Journal of Korean Society of Archives and Records Management
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• v.5 no.2
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• pp.125-137
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• 2005

The digital archives of E-culture, E-government, E-learning, and E-business have grown by leaps and bounds worldwide during the last several years. While we have invested significant time and effort to create and maintain those archives, we do not have the ability to make digital records generated by the processes all available across generations of information technology, making it accessible with future technology and enabling people to determine whether it is authentic and reliable. This is a very serious problem for which no solutions have been devised yet. This paper discusses practical technologies for digital archives and preservation to succeed, and describes a general framework of the life cycle of information to address this important problem so that we may find reasonable ways to preserve digital records that can be analyzed and evaluated in quantitative measures and incremental manners.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.1035-1038
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• 2007

Just as social welfare facilities and system are the barometers of a nation's quality & standard of living, the facilities of student's union building symbolizes level of welfare facilities and systems of a university. A university is a group of individuals searching for and studying the truth, so it is the highest of all education centers. At the same time, a university builds one's character. this infers that leisure activity in a university is a condition that facilitates the ability to create a healthy body and healthy soul. Additionally, active experiences for a human social life take people away from daily stresses and release the tensions of university studies. Therefore, a university campus should be built not only for students researching and studying, but also to aid in the growth of a students body, soul and mind. When creating a university master plan, increasing the number of students, promotion of a good educational environment and preparation of students for future development should be of primary consideration. There are several factors to aid this. The factors are; the academic plan, leisure activity, the belief system of university student and physical and environmental factors. The research presented here tells us the most important factor for developing the master plan of a student's union building