• Journal of Digital Convergence
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• v.11 no.1
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• pp.339-347
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• 2013

Recently, Korean medium-sized medical organizations require innovative strategies. Network-driven concerns in Korean medical organization have been a front burner issue to enhance economic and managerial efficiencies. Effective network-driven collaboration depends upon effective processes and economics strategies among medical providers group. From this motivation, we studied and provided the systems' theoretical background and networked hospital system structures. The aim of suggested research model in this paper is to overcome demerit of stand-alone medium-sized hospitals and analyze a system dynamics model to measure managerial performances. The developed system dynamics model is to quantify the effects of network strategy based on the historical financial data of real-life hospitals network experiences. The network effects are resulted in efficiencies and effectiveness enhancements in competitiveness through advertisement and effective education system. The simulations of system dynamics results can explain the improvement in financial outcome by joining in the network group. The network effects are shown more effective in dental hospital than other groups. In conclusion, it is expected that network effects have a critical influence of managerial, marketing, and medical collaboration performance for any type of medical hospitals.

• Journal of Energy Engineering
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• v.22 no.3
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• pp.287-293
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• 2013

This study was carried out to diminish the formation of scale in boilers which is one of the defect elements when they are operating. The defect relating to scale can cause a fatal impact on the explosion of boilers due to the overheating of their tubes, or it can affect the flow of water inside boilers with its bad circulation and result in a disparity of water inside the equipment. Heat transfer in the scale is low comparing to the boiler material, so it can lead to energy losses and has also impact on the global warming. In 2005, the Korean government introduced a system which requires boiler users to install the equipment which can prevent or eliminate the formation of scale to improve the management of water quality in boilers. The study on the techniques for preventing or eliminating the formation of scale started in 1821 and since then subsequently there have been lots of similar studies. The first one was about the scale reduction using potato starch. Since an ultrasonic scale preventer developed by a scientist from a Russian acoustic institute was introduced in1993, a variety of equipment of this kind have been disseminated in Korea. There has been a need to demonstrate the condition for the best performances of such equipment. Boilers are mostly composed of the main body and 288 the tube with a circular curved surface. I carried out a demonstration study on a circular tube which affects the scale defect the most among the boiler components. As a result of it, I found out the fact that the ultrasonic wave needs to reach a certain level of sound pressure and frequency to affect the formation of scale.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5622-5632
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• 2011

This paper presents the simulation design and analysis of Integrated Logistics System(ILS) which is operated by using the AGV(Automated Guided Vehicle). To maximize the operation performances of ILS with AGV, many parameters should be considered such as the number, velocity, and dispatching rule of AGV, part types, scheduling, and buffer sizes. We established the design of experiment in a way of Orthogonal Array in order to consider (1)maximizing the throughput; (2)maximizing the vehicle utilization; (3)minimizing the congestion; and (4)maximizing the Automated Storage and Retrieval System(AS/RS) utilization among various critical factors. Furthermore, we performed the optimization by using the simulation-based analysis and Evolution Strategy(ES). As a result, Orthogonal Array which is conducted far fewer than ES significantly saved not only the time but the same outcome when compared after validation test on the result from the two methods. Therefore, this approach ensures the confidence and provides better process for quick analysis by specifying exact experiment outcome even though it provides small number of experiment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.2103-2109
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• 2009

Balanced Scorecard(BSC) is one of the ways to estimate the achievement results of enterprises which, beyond the simple financial index traditionally used for enterprise achievement result management system, aims to estimate and manage the key perspectives for the future and goal achievement of enterprises as financial perspectives, customer perspectives, internal business perspectives, learning and growth perspectives with a fully consistent and balanced measure, and moreover manage their relationships regarding cause and effect on its basis. Introduction of BSC can be a profound implication for management strategies not only in that its introduction itself has numerous direct effects but also in the way of understanding whether or not its sequential relations exist. Thus this study focused on if the introduction of BSC is effectual, and if there exist any time-lag sequential relations between the effects. The results of the this study indicate that the introduction of BSC has positive effects on the internal business perspectives, learning and growth perspectives, financial perspectives, with the last aspect lasting longer. After dividing perspectives of BSC into leading indicator and lagging indicator, the analysis on if there was some relationships between two indicators was done. As a result, the introduction makes internal process improve first, which has positive effects on financial performance next.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.725-731
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• 2016

This study numerically investigates the thermal performance of a 2.0-kW butane-based combustion heating system for an electric vehicle under cold conditions. The system is used for cabin space heating and coolant-based battery thermal management. ANSYS CFX 17 software was used for parametric analysis. The mass flow rates of cold air and coolant were varied, and their effects were compared. The numerical results were validated with theoretical studies, which showed an error of 0.15%. As the outside air mass flow rates were increased to 0.005, 0.01, and 0.015 kg/s, the cabin supply air temperature decreased continuously while the coolant outlet temperature increased. When the coolant mass flow rates were increased to 0.005, 0.01 and 0.015 kg/s, the air temperature increased while the coolant outlet temperatures decreased. The optimal mass flow rates are discussed in a consideration of the requirements for high cabin heating capacity and efficient battery thermal management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.543-551
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• 2016

Recently, the cultural industry has become an attractive industry which is having a dramatic effect with the rise of Hallyu offering many possibilities for development. Specially, the marketing techniques employed by the performing arts industry started to change to respond to consumer tastes and demands like other commodity markets, as the popular performing arts industry began to receive attention as a promising industry. It is important to identify the behavior of consumers in order to actively deal with the demands and tastes of consumers that are becoming increasingly diverse and individualized. The performing arts market needs to recognize the importance of its audience and to apply appropriate marketing techniques. This study attempted to empirically identify the value of performing arts perceived by the audience and to investigate the influence of the relationship between the perceived value, attitude formation and satisfaction with performing arts. In order to examine the influence of the value of performing arts on attitude and customer satisfaction, a reliability analysis and factor analysis were conducted to investigate the dependability and validity of the measured variables. In order to achieve the study's intended purpose, the structural equation model (SEM) was utilized as the core analysis method. As a result, it was found that the perceived value and attitude towards performing arts have a positive effect on customer satisfaction. The results of this study are expected to be used as the basic data for organizations that plan performances to improve their marketing and promotion around the audience and for more specific and detailed research in the future.

• The Journal of Society for e-Business Studies
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• v.24 no.1
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• pp.1-16
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• 2019

Recently, since responding to meteorological changes depending on increasing greenhouse gas and electricity demand, the importance prediction of photovoltaic power (PV) is rapidly increasing. In particular, the prediction of PV power generation may help to determine a reasonable price of electricity, and solve the problem addressed such as a system stability and electricity production balance. However, since the dynamic changes of meteorological values such as solar radiation, cloudiness, and temperature, and seasonal changes, the accurate long-term PV power prediction is significantly challenging. Therefore, in this paper, we propose PV power prediction model based on deep learning that can be improved the PV power prediction performance by learning to use meteorological and seasonal information. We evaluate the performances using the proposed model compared to seasonal ARIMA (S-ARIMA) model, which is one of the typical time series methods, and ANN model, which is one hidden layer. As the experiment results using real-world dataset, the proposed model shows the best performance. It means that the proposed model shows positive impact on improving the PV power forecast performance.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.93-106
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• 2021

Many recent studies on deep learning-based road crack detection have shown significantly more improved performances than previous works using algorithm-based conventional approaches. However, many deep learning-based studies are still focused on classifying the types of cracks. The classification of crack types is highly anticipated in that it can improve the crack detection process, which is currently relying on manual intervention. However, it is essential to calculate the severity of the cracks as well as identifying the type of cracks in actual pavement maintenance planning, but studies related to road crack detection have not progressed enough to automated calculation of the severity of cracks. In order to calculate the severity of the crack, the type of crack and the area of the crack in the image must be identified together. This study deals with a method of using Mobilenet-SSD that is deep learning-based object detection techniques to effectively automate the simultaneous detection of crack types and crack areas. To improve the accuracy of object-detection for road cracks, several experiments were conducted to combine the U-Net for automatic segmentation of input image and object-detection model, and the results were summarized. As a result, image masking with U-Net is able to maximize object-detection performance with 0.9315 mAP value. While referring the results of this study, it is expected that the automation of the crack detection functionality on pave management system can be further enhanced.

• 한국사회정책
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• v.19 no.3
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• pp.149-183
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• 2012

This article aims to analyze main features of activation policy and compare major programmes in terms of their impact on employment performances in Korea. Since the introduction of National Basic Living Security Act in 2000, a series of activation policies have been in place for social assistance recipients, low-income employees, and youth unemployed by means of providing tailored employment and social services via in-depth counselling and case management. These activation policies carry both enabling and demanding elements: requiring programme participation in exchange for public assistance benefit receipts on the one hand, and providing various social services to remove barriers to employment through case management on the other hand. Therefore, it merits attention to analyze how various features of activation programmes affect employment outcomes, the effectiveness of delivery system and policy instruments as well. In analyzing employment outcomes of activation policy of which main characteristics lie in provision of employment and social services, this article points out the features and policy instruments of the activation policy that contribute to labor market entry of public assistance recipients and low income employees. In addition, it also delineates the determinants of exit from benefit receipts. Results from statistical analysis show that activation policy with intense employment service helps both benefit recipients and low income employees enter into the labor market at a faster rate. However, tailored social service provision enables social assistance recipients to exit from benefit receipts. These results suggest theoretical and policy relevant implication in regards to redesigning the delivery mechanisms and service instruments of activation policy.

• Korean Association of Arts Management
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• no.55
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• pp.39-73
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• 2020

The recent rapid increase in single-person households has had a significant impact on the art performance market as well as the overall consumption trend. With the proportion of one-person viewers in the form of viewing the performance nearly half, the new term "Hongongjok" is widely used. Representing the trends of 'one-person consumption' and 'consumption for me' is the concept of 'self-gift' that consumes special for myself. This study introduced the concept of self-gift as a framework for understanding a new group of performance viewers who lavishly investing in consumption for one's sake. It also demonstrated how self-gift motivation affects the perceived value and the intention of self-gift. As a result of the analysis, the motivation for reward, therapeutic personal disappointment, and therapeutic negative mood reduction of the self-gift had a significant effect on the intention of self-gift through the perceived value of classical music performances. In addition, it was also revealed through the multi-group analysis that there was a significant difference in the effect of self-gift motivation factors between a single viewer and two or more accompanying viewers. This study contributes to the fact that the art performance industry can be provided the first theoretical basis for understanding these customer groups in order to respond to the consumption trend for one-person viewers. It also offered practical implications for revitalizing the stagnant classical music performance market by framing the art performance as a self-gift.