• Korean Journal of Construction Engineering and Management
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• v.5 no.4 s.20
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• pp.122-129
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• 2004

The purpose of this study is to propose a way that improves the construction management for remodeling of building. The study attempts to deal with the case study for application and suggests some positive and negative lessons. The main contents and results of the study are as follows. (1) Through the repetitive joint meetings among the various participants, decision making for the remodeling process can be speeded up. (2) Clear work order and communication for work scope can be accomplished by using perspective drawing in design phase. (3) Reliable construction planning and scheduling for remodeling of building can be proposed through case study. (4) By a sound survey, conflict elements can be resolved in advance. Also reasonable procurement plan of equipments and multi-skilled labor can be important factors to keep a construction schedule in time. (5) Through the comparison a case project with other sites having a similar work scope, improvement effect in a time and cost aspect was analyzed quantitatively. The study also recommends that, as a future research, the remodeling process model be developed for more general applications in remodeling of building.

• The Journal of Society for e-Business Studies
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• v.8 no.4
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• pp.33-51
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• 2003

The primary objectives of this study were, using data from Internet users in Korea, to determine users' preference of banner ad through two ad properties; ad presentation type (text vs. image) and ad content (product information vs. prize information) by incorporating the level of involvement into research design. Using within-group experimental design by means of subjects' web-based participation in the study, the study result showed that image-based banner ad was significantly preferred to text-based banner ad. It was found that the level of ad involvement had a significant impact on the preference of banner ads. Also it was found that image-based banner ad had a greater effect on ad preference than text-based banner ad in low involvement situation only, Finally, image-based banner ad was consistently preferred to text-based banner ad regardless of involvement level when the banner ad was product oriented. The study findings suggest that adoption decisions regarding banner ad presentation type and banner ad content should be based on the knowledge of both the level of consumer's ad involvement and the interactive effects between ad presentation and ad content.

• Nuclear Engineering and Technology
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• v.27 no.3
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• pp.403-417
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• 1995

The upturn of Korean nuclear power program can be considered to have started in early 70's while future plants for the construction of new nuclear power plane virtually came to a halt in United States. It is projected that power plant systems from combination of nuclear and coal fired types might shift to all coal fired type, considering the current trend of construction on the new Plants in the United States. However, with the depletion of natural resources, it is desirable to understand the utilization of two competitive utility technologies in terms of invested energy. Presented in this paper is a comparison between two systems, nuclear power plant and coal fired steam power plant in terms of energy investment. The method of comparison is Net Energy Analysis (NEA). In doing so, Input-Output Analysis (IOA) among industries and commodities is done. Using these information, net energy ratios are calculated and compared. NEA is conducted for power plants in U. S. because the availability of necessary data are limited in Korea. Although NEA does not offer conclusive solution, this method can work as a screening process in decision making. When considering energy systems, results from such analysis can be used as a general guideline.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1189-1198
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• 2015

For the effects of the global financial crisis cause hedge funds to have a strong influence on financial markets, it is needed to study new approach method to predict hedge fund survival. This paper proposes to organize fuzzy neural network using hedge fund data as input to predict hedge fund survival. The variables of hedge fund data are ambiguous to analyze and have internal uncertainty and these characteristics make it challenging to predict their survival from the past records. The object of this study is to evaluate the predictability of fuzzy neural network which uses grades of membership to predict survival. The results of this study show that proposed system is effective to predict the hedge funds survival and can be a desirable solution which helps investors to support decision-making.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1327-1336
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• 2016

Most cases of child abuse in South Korea are caused by parents in the family home. Currently, these types of incidents are growing. Child abuse creates irreparable damage to a child's development and its effects are prolonged. This damage can create a maladjusted adolescent and adult criminal acts. Because of this damage and the long lasting effects on a person and society as a whole, special attention needs to be paid to this pressing issue. South Korea's rapidly changing social environment has created a variety of new family forms including dual-income families and single-parent families. With the current economic downturn and accompanying employment instability, many families exist in uneasy financial and emotional states. The children in these stressful family environments are the most vulnerable and live in risk of experiencing physical or psychological abuse from their parents. In the context of significant and often difficult social changes, this study identifies the characteristics of child abuse based on family status and parental mental health.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.395-406
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• 2017

The purpose of this study is to identify the pattern of daily electricity demand through clustering and classification. The hourly data was collected by KPS (Korea Power Exchange) between 2008 and 2012. The time trend was eliminated for conducting the pattern of daily electricity demand because electricity demand data is times series data. We have considered k-means clustering, Gaussian mixture model clustering, and functional clustering in order to find the optimal clustering method. The classification analysis was conducted to understand the relationship between external factors, day of the week, holiday, and weather. Data was divided into training data and test data. Training data consisted of external factors and clustered number between 2008 and 2011. Test data was daily data of external factors in 2012. Decision tree, random forest, Support vector machine, and Naive Bayes were used. As a result, Gaussian model based clustering and random forest showed the best prediction performance when the number of cluster was 8.

• Journal of Information Technology Applications and Management
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• v.13 no.1
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• pp.149-166
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• 2006

During the past several years, a number of attempts have been made to develop computer applications for the farm business. However, none of them truned out properly applicable to small farms occupying more than 90% of the total agri-business in number as they failed to take it into consideration that small farm, typically a private busines is quite different by nature from the large-scaled farm corporate. Small-sized farming is usually done on the houshold basis, and thus there is no distinction between the household and the business economy. In addition, small farm managers are mostly lacking knowledge or skills of both computers and accounting. This study, therefore, aims at the design and implementation of the financial management and accountign information system for small farms, with an attempt to relax constraints and resolve pitfalls revealed in previously developed applications. The following principles were introduced for the study : 1) The user-system interfaces have to be managed in the natural language as much as possible, so that the users can operate the system without any professional terms. 2) Household accounting has to be seperarte by some means from the business accounting, so that small farm businesses can manage their finance and accounting as necessary. 3) The system has to be designed so as not only for the users to manage transactional data but to analyse historical data in multiple dimensions for their decision-makings. The results from this study would perhaps help not only for the farmers but for the educators, policy makers, and counselors for the farming.

• Journal of Global Scholars of Marketing Science
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• v.16 no.2
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• pp.27-54
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• 2006

As maintaining customer long term relationship is critical factor for improving to firm value as well as customer lifetime value, the academicians and practitioners have paid attention to customer defection. It is said that service failures are key factors to customer defection or customer switching(Keaveney 1995 etc.). This study examines that the effect on customer defection of service failures is differential according to the various customer-firms relationship characteristics. We consider relationship duration, usage level, decision making influence, industry knowledge and switching cost as customer-firm relationship characteristics based on marketing literature. Predictions are developed and tested using Internet service provider(ISP) user survey data(n=212). Results show that the customer-firms relationship characteristics/above variables) play a moderating roles in the service failures and customer defection links.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.261-262
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• 2018

The tasks of Vessel Traffic Services are classified according to the content of the information provided. Since the establishment of the first Vessel Traffic Service center in 1993 at Phohang harbour, it has been steadily developed and its work domain and scope have been expanded. In this paper, the importance and workload of Vessel Traffic Service operators were analyzed according to classification of the tasks. In order to measure the importance and workload, questionnaires were conducted for the operators nationwide, and conclusions were drawn using the multi-criteria decision making process. The relationship between the importance of tasks and the workload might be used as the weights for setting the service areas in the future. Furthermore, it is expected to be used as the data of changable sector operation based on the relationship between importance and workload.

• Korean Journal of Construction Engineering and Management
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• v.8 no.3
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• pp.168-176
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• 2007

This study aims to provide useful information when making a decision for the environmental and economic efficiency assessment of infrastructure, based on Life Cycle Assessment(LCA). It estimates environmental cost on environmental pollutants that are possible to happen by locations and by types of emergency spillway for korean multipurpose dam, which is selected as a study case. For this purpose, this study examines the theories of LCA and Contingent Valuation Method(CVM) and suggests an analysis model of environmental cost. To apply the suggested analysis model of environmental cost for infrastructure to the case study of emergency spillway at the multipurpose dam, this study calculates environmental load on environmental pollutants that generate during life cycle, converts it to a cost to predict environmental cost, evaluates environmental economy of emergency spillway by the estimated result, and draws the optimum alternative that is environmental-friendly and economic.