• Journal of The Korea Institute of Healthcare Architecture
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• v.23 no.3
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• pp.29-37
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• 2017

Purpose : Due to the shortage of the room for the disabled, it may be difficult to use the accommodation for the disabled (especially wheelchair users). The purpose of this paper is to propose a universal design(UD) application for all rooms to solve the problems caused by the shortage and the decrease of the usage rate of the rooms for the disabled. Methods : Classify and analyze the type of room and bathroom according to the survey. The space of the room is classified into six types mainly based on the relation and location among the entrance, the bathroom, and the bedroom. Also, the bathroom is classified into 20 types considering the positional relationship with the entrance and between sanitary fixture. By using these types, FGI survey will be conducted and the application of UD will be reviewed and presented. Results : We analyzed by using the types of the room and the bathroom. One of majority type in the actual research and two of UD applicable types from FGI, are shown UD application. In addition, the bathroom were analyzed about four types from FGI. The room were shown about the activity space and the furniture layout for UD. The bathroom were shown about the space for the entrance, the internal activitiy space and the arrangement of the sanitary fixture. Implications : By comparing and analyzing through type classification, it was found that universal design can be applied to all rooms. Therefore, it is expected that the UD will be activated in all rooms of the accommodation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.587-594
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• 2018

The purpose of this study is to propose a power demand volatility evaluation system based on LSTM and not to verify the accuracy of the demand module which is a core module, but to recognize the sudden change of power pattern by using deeplearning in the actual power demand monitoring system. Then we confirm the availability of the module. Also, we tried to provide a visualized report so that the manager can determine the fluctuation of the power usage patten by applying it as a module to the web based system. It is confirmed that the power consumption data shows a certain pattern in the case of government offices and hospitals as a result of implementation of the volatility evaluation system. On the other hand, in areas with relatively low power consumption, such as residential facilities, it was not appropriate to evaluate the volatility.

• The KIPS Transactions:PartC
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• v.16C no.3
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• pp.363-372
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• 2009

For large scale VOD service, cluster servers are spotlighted to their high performance and low cost. A cluster server usually consists of a front-end node and multiple back-end nodes. Though increasing the number of back-end nodes can result in the more QoS streams for clients, the possibility of failures in back-end nodes is proportionally increased. The failure causes not only the stop of all streaming service but also the loss of the current playing positions. In this paper, when a back-end node becomes a failed state, the recovery mechanisms are studied to support the unceasing streaming service. For the actual VOD service environment, we implement a cluster-based VOD servers composed of general PCs and adopt the parallel processing for MPEG movies. From the implemented VOD server, a video block recovery mechanism is designed on parity algorithms. However, without considering the architecture of cluster-based VOD server, the application of the basic technique causes the performance bottleneck of the internal network for recovery and also results in the inefficiency CPU usage of back-end nodes. To address these problems, we propose a new failure recovery mechanism based on the pipeline computing concept.

• Nutrition Research and Practice
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• v.12 no.2
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• pp.149-159
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• 2018

BACKGROUND/OBJECTIVES: College students are in transition from adolescence to adulthood, and it has been reported that they show poor dietary habits. This study was conducted to compare body image perception, nutrition knowledge, dietary attitudes, dietary habits, and health-related lifestyles between Korean college students (KCS) and Mongolian college students (MCS). SUBJECTS/METHODS: Subjects were 314 KCS and 280 MCS. The data includes results of self-administered questionnaires; statistical analysis was performed using the SPSS 23.0 program. RESULTS: With regards to body image perception, KCS perceived themselves to be fatter on current body image than ideal body image compared to MCS; 64.0% of KCS and 34.6% of MCS desired to be thinner. Total score of nutrition knowledge in KCS (17.0) was significantly higher compared to MCS (8.4) (P < 0.001), but total score of dietary attitudes in KCS (27.0) was significantly lower compared to MCS (31.2) (P < 0.001). Nutrition knowledge had a significantly positive correlation with dietary attitudes in MCS (P < 0.01). Meal consumption among male and female subjects was 2 and 3 times, respectively, in order in KCS, and 3 and 2 times, respectively, in order in MCS (P < 0.001). Rate of skipping breakfast in both genders was significantly higher in KCS than in MCS (male: P < 0.05, female: P < 0.001). In health-related lifestyles, KCS had a significantly higher rate in frequency of alcohol drinking (P < 0.001), exercise (P < 0.01), and mobile phone usage (P < 0.001), compared to MCS. CONCLUSIONS: This study suggests that development of nutrition education program which is effective and proper is required to improve healthy dietary habits among college students of both countries. Essential contents should include acquirement of nutrition knowledge and a motivation for its application to actual life for KCS, and improvement of healthy dietary habits for MCS.

• Safety and Health at Work
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• v.7 no.1
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• pp.12-17
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• 2016

Background: The mining industry is considered as one of the most dangerous and hazardous industries and the need for effective and efficient occupational health and safety management is critical to safeguard workers and the industry. Despite the dangers and hazards present in the mining industry, only few studies have focused on how occupational health and safety and turnover intentions in the mines. Method: The study suing a cross-sectional survey design collected quantitative data from the 255 mine workers that were conveniently sampled from the Ghanaian mining industry. The data collection tools were standardized questionnaires that measured occupational health and safety management and turnover intentions. These scales were also pretested before their usage in actual data collection. Results: The correlation coefficient showed that a negative relationship existed between dimensions of occupational health and safety management and turnover intention; safety leadership (r = -0.33, p < 0.01); supervision (r = -0.26, p < 0.01); safety facilities and equipment (r = -0.32, p < 0.01); safety procedure (r = -0.27, p < 0.01). Among these dimensions, safety leadership and safety facility were significant predictors of turnover intention, (${\beta}=-0.28$, p < 0.01) and (${\beta}=-0.24$, p < 0.01) respectively. The study also found that turnover intention of employees is heavily influenced by the commitment of safety leadership in ensuring the effective formulation of policies and supervision of occupational health and safety at the workplace. Conclusion: The present study demonstrates that safety leadership is crucial in the administration of occupational health and safety and reducing turnover intention in organizations.

• Journal of KIISE:Databases
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• v.36 no.6
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• pp.411-421
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• 2009

In a blog network, there are special users who induce other users to actively utilize blog services. In this paper, these users whose contents exhibit large influence over other bloggers are defined as 'Content Power Users' (CPUs). It is important to accurately determine who content power users are in a blog network in order to establish business policies that will stimulate usage of blog services. In this paper, we discuss a novel method of determining content power users. First, we propose a system of measuring the influence of content of each post owned by individual users. Then, by adjusting the measured values based on the time of exposure and adding them up, we calculate the power of influence for corresponding users. Finally, by applying the proposed method to actual blog networks and comparing the selected power users to those of a preexisting method, we analyze different methods of determining power users. The experimental results demonstrate that our method of determining power users reflects well dynamic changes in a blog network.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.43-52
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• 2018

Generally, research on construction cost has been done mostly regarding its direct cost, thus model regarding indirect cost lacks attention. This research seeks to introduce a model to predict on-site overhead cost for apartment construction projects, which constitutes a big portion in Korean construction industry. We devised an equation of 9th degree via curve-fitting, using multiple on-site actual expense data, which can be used to calculate per-progress rate, per-day on-site overhead cost. We further show prospective usage of the model by applying it on construction projects sizing about 30 billion won. Regarding the fact that previous studies could not recognize pattern changes of a total on-site overhead cost, this model is worthy of its conveniency and thoroughness, as well as providing reasonal ground for its derivation in predicting on-site overhead cost of apartment construction projects.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.4
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• pp.13-24
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• 2008

Real-time traffic data are readily obtainable by traffic surveillance systems of intelligent transportation systems (ITS). Such data greatly support further applications in the field of traffic operations, planning, and safety. However, traffic data should be appropriately processed to fully exploit the benefits of data collection capability. Rather than developing individual data processing techniques, which is major concern of existing studies, this study proposes a novel methodology for evaluating data processing techniques in an integrated manner. Also, a tool for implementing the proposed methodology is developed. Users can extract useful and more reliable traffic data based upon their ultimate purpose of data usage by the evaluation tool developed in this study. Actual freeway traffic data are, as an example, fed into the evaluation tool, and results are discussed.

• Nuclear Engineering and Technology
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• v.49 no.5
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• pp.989-995
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• 2017

Distributed Control System (DCS) communication networks, which use Fast Ethernet with redundant networks for the transmission of information, have been installed in digitalized nuclear power plants. Normally, failover tests are performed to verify the reliability of redundant networks during design and manufacturing phases; however, systematic integrity tests of DCS networks cannot be fully performed during these phases because all relevant equipment is not installed completely during these two phases. In additions, practical verification tests are insufficient, and there is a need to test the actual failover function of DCS redundant networks in the target environment. The purpose of this study is to verify that the failover functions works correctly in certain abnormal conditions during installation and commissioning phase and identify the influence of network failover on the entire DCS. To quantify the effects of network failover in the DCS, the packets (Protocol Data Units) must be collected and resource usage of the system has to be monitored and analyzed. This study introduces the use of a new methodology for verification of DCS network failover during the installation and commissioning phases. This study is expected to provide insight into verification methodology and the failover effects from DCS redundant networks. It also provides test results of network performance from DCS network failover in digitalized domestic nuclear power plants (NPPs).

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.45-51
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• 2021

In this paper, we propose a 3D design method of the vacuum forming method of the front part to improve the lightness and production efficiency of agricultural electric vehicles. For agricultural electric vehicles, lightness and production efficiency are more important than the strength of materials for collision protection. In this paper, we propose a vacuum forming design method that can replace complex machining processes such as laser machining, bending, and painting. The main purpose of this research is to improve product stability, productivity and convenience through 3D design of the front part and development of vacuum forming mold technology. Research procedure follows the 3D modeling of the front part using CATIA, finite element analysis for the structural stability using ABAQUS, manufacturing prototype for the investigation of the dimensions using 3D scanner and actual driving test under agricultural electric vehicle usage environment. The results verifies the proposed 3D design method of the vacuum forming method and are expected to be widely used by agricultural workers through the simplification of the production process of agricultural electric vehicles.