• Journal of Digital Convergence
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• v.17 no.1
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• pp.29-36
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• 2019

In this study, we analyzed knowledge management cases of the Ministry of Culture, Sports and Tourism and examined knowledge management vision, promotion organization and knowledge management activity system. This study aims to clarify implications for successful knowledge management in government sector. In the case of the Ministry of Culture, Sports and Tourism, which was the subject of the study, it was evaluated as having performed well in the management activities of the government department in the evaluation of "Knowledge Target for 2018" jointly hosted by Maeil Economic Daily and the Ministry of Public Administration and Security. In this study, we conducted an in - depth interview with the knowledge management staff of the Ministry of Culture and Tourism and analyzed the success factors of knowledge management in the government sector. First, the vision of knowledge management and the role of dedicated organization were very important. In addition, knowledge management system was used to effectively acquire, share, and accumulate knowledge and utilize it. In addition, appropriate compensation systems for knowledge management activities are also important success factors. Therefore, in order to encourage knowledge management activities, it is necessary for public institutions to establish an incentive system such as an economic compensation system for personnel sharing activities and HR personnel.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.400-402
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• 2019

The electric point machine, which is used for the control of the turnout used to change the track of the train, is very important in the railway system. Various wired and wireless real-time monitoring systems are used to check the status of the point machine, but there is a possibility of malfunction due to sensor or network error. In this paper, a redundant monitoring system was designed that incorporates the point machine monitoring system and the CCTV camera control system to double check the operation of the point machine. In the point machine monitoring system, the operating state of the railway converter is monitored, alarmed and transmitted over the network. The CCTV camera control system, which received this information, was required to record the status of the turnout and the point machine in question and send it to the administrator. The manager of the railway line can check the conversion status of the railway through the monitoring screen for the railway line switcher first, and then confirm the switching status directly through the CCTV camera image, thereby improving the reliability of the point machine operation. It will also enable the safe and efficient operation of personnel for management. It is expected to contribute to preventing a derailment caused by a malfunction of the point machine.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.2
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• pp.125-132
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• 2019

This paper presents a seismic reliability analysis method for an offshore wind turbine with a twisted tripod support structure under earthquake loading. A three dimensional dynamic finite element model is proposed to consider the nonlinearity of the ground-pile interactions and the geometrical characteristics of the twisted tripod support structure where out-of-plane displacement occurs even under in-plane lateral loadings. For the evaluation of seismic reliability, the failure probability was calculated for the maximum horizontal displacement of the pile head, which is calculated from time history analysis using artificial earthquakes for the design return periods. The application of the subset simulation method using the Markov Chain Monte Carlo(MCMC) sampling is proposed for efficient reliability analysis considering the limit state equation evaluation by the nonlinear time history analysis. The proposed method can be applied to the reliability evaluation and design criteria development of the offshore wind turbine with twisted tripod support structure in which two dimensional models and static analysis can not produce accurate results.

• Journal of Korean Society of Neurocognitive Rehabilitation
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• v.10 no.2
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• pp.45-52
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• 2018

The purpose of the present study was to determine correlations between the Berg Balance Scale (BBS), Montreal Cognitive Assessment-Korean (MoCA-K) and Modified Barthel Index (MBI) targeting stroke patients, and it seeks to analyze the influence among each factor to establish the fundamental research in evaluating the functional performance capability of stroke patients. The study was conducted between December 2017 and March 2018 and the target of the study was 34 stroke patients who are hospitalized and treated in Y rehabilitation hospital located in Goyang city. Following in criteria of how participants were selected. First, a person without the onset of 6months or more. Second, a person who can communicate and score over 20 points on MMSE-K. Third, a person without unilateral neglect. Fourth, a person without lower motor neuron lesion and orthopedic disease on the bilateral lower extremity. Fifth, a person without audiovisual problem and history of using drug or surgery that influence athletic function. sixth, patients who agreed on participating in the study. The evaluation was processed by measuring BBS, MoCA-K, and MBI with the occupational therapist and physical therapist. Also, one assistant was participated in measuring balanced ability for the safety reason. It was found that significantly correlates (p<.01) with BBS and MoCA-K (r=.459), BBS and MBI (r=.550), MoCA-K and MBI (r=.565). This study is meaningful that it provided the basis for the active use of BBS, MoCA-K and MBI as a clinical evaluation tool and its usefulness.

• Korean Chemical Engineering Research
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• v.59 no.4
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• pp.521-531
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• 2021

Vacuum Pressure Impregnation (VPI) is a process that enhances physical properties by coating some types of epoxy resins on windings of stator used in large rotators such as generators and motors. During vacuum and pressurization of the VPI process, resin gas is generated by vaporization of epoxy resin. When the tank is opened for curing after finishing impregnation, resin gas is leaked out of the tank. If the leaked resin gas spreads throughout the workplace, there are safety and environmental problems such as fire, explosion and respiratory problems. So, exhaust system for resin gas is required during the process. In this study, a case study of exhaust efficiency by location of vent was conducted using Computational Fluid Dynamics (CFD) in order to design a system for exhausting resin gas generated by the VPI process. The optimal exhaust system of this study allowed more than 90% of resin gas to be exhausted within 1,800 seconds and reduced the fraction of resin gas below the Low Explosive Limit (LEL).

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.679-689
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• 2021

The objective of this study is to verify the moderated mediating effects according to the severity level of a disability as well as the mediating effects of job security in the relationship between difficulties in the workplace of the disabled wage workers caused by the COVID-19 pandemic and their life satisfaction. As a result of analysis using SPSS ver. 25 and PROCESS macro, the difficulties within the workplace caused by the COVID-19 pandemic had a negative influence on life satisfaction through the job security of the disabled wage worker. In other words, it was revealed that the level of difficulties being faced by the disabled wage workers, which were caused by the COVID-19 pandemic, hinders their life satisfaction through job security. In addition, no moderating effect according to the severity level of disability was identified in the relationship between these variables. This is translated that difficulties in the workplace caused by the COVID-19 pandemic reduce job security and life satisfaction of the disabled wage workers regardless of the severity level of the disability. Based on the results thus far, this study further discussed the institutional implications for promoting the job security and life satisfaction of the disabled wage workers under the COVID-19 pandemic situation.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.2
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• pp.123-131
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• 2021

The buffer is a key component of an engineered barrier system that safeguards the disposal of high-level radioactive waste. Buffers are located between disposal canisters and host rock, and they can restrain the release of radionuclides and protect canisters from the inflow of ground water. Since considerable heat is released from a disposal canister to the surrounding buffer, the thermal conductivity of the buffer is a very important parameter in the entire disposal safety. For this reason, a lot of research has been conducted on thermal conductivity prediction models that consider various factors. In this study, the thermal conductivity of a buffer is estimated using the machine learning methods of: linear regression, decision tree, support vector machine (SVM), ensemble, Gaussian process regression (GPR), neural network, deep belief network, and genetic programming. In the results, the machine learning methods such as ensemble, genetic programming, SVM with cubic parameter, and GPR showed better performance compared with the regression model, with the ensemble with XGBoost and Gaussian process regression models showing best performance.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.6
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• pp.701-709
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• 2019

Recently, heart rate signal, which is one of biological signals, have been used in various fields related to healthcare. Conventionally, most of the proposed heart rate signal detection methods are contact type methods, but there is a problem of discomfort that the subject have to contact with the device. In order to solve the problem, detection study by non-contact method has been progressed recently. The detected heart rate signal can be used for finger vein liveness detection and various application using heart rate. In this paper, we propose a method to obtain heart rate signal by using finger vein imaging system. The proposed method detected the signal from the changes of the brightness value in the time domain of the infrared finger vein images and converted it into the frequency domain using the image processing algorithm. After the conversion, we removed the noise not related to the heart rate signal through band-pass filtering. In order to evaluate the accuracy of the signal, we analyzed the correlation with the signal obtained simultaneously with the finger vein acquisition device and contact type PPG sensor approved by KFDA. As a result, it was possible to confirm that the heart rate signal detected in non-contact method through the finger vein image coincides with the waveform of actual heart rate signal.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.73-85
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• 2021

This study proposes an efficient management direction for Korean construction accident cases through a deep learning-based text data classification model. A deep learning model was developed, which categorizes five categories of construction accidents: fall, electric shock, flying object, collapse, and narrowness, which are representative accident types of KOSHA. After initial model tests, the classification accuracy of fall disasters was relatively high, while other types were classified as fall disasters. Through these results, it was analyzed that 1) specific accident-causing behavior, 2) similar sentence structure, and 3) complex accidents corresponding to multiple types affect the results. Two accuracy improvement experiments were then conducted: 1) reclassification, 2) elimination. As a result, the classification performance improved with 185.7% when eliminating complex accidents. Through this, the multicollinearity of complex accidents, including the contents of multiple accident types, was resolved. In conclusion, this study suggests the necessity to independently manage complex accidents while preparing a system to describe the situation of future accidents in detail.

• Journal of Conservation Science
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• v.37 no.2
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• pp.101-119
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• 2021

Korea's National Treasure No. 229, the Jagyeongnu (clepsydra) of Changgyeonggung Palace, is a scientific and cultural property representing the pinnacle of science and technology in the Joseon Dynasty. Currently, only the large, mid-sie, and small Pasuhos (bronze jars) remain. During a nearly two-year conservation project by the Cultural Heritage Conservation Science Center (CHCSC) that began in 2018, conservators identified the contaminants on the surface of the water clock's components. It turned out that the contaminants had been caused by the exposure of squalane and silicone oil, used in an earlier preservation treatment, to the elements. The CHCSC conducted experiments to determine the most effective method to remove the contaminants. First, the conservators tried using an organic solvent, a poultice, and the application of toluene and bentonite, which yielded excellent reactivity and significant color difference changes (𝚫E). However, the reactivity was insufficiently effective to warrant the health hazards to the conservators and the environment (toluene is toxic). Although organic solvents required considerably more effort, time, and human resources, the conservators confirmed that their use achieved a true color difference variation (𝚫E) that was within the same range as the toxic hydrocarbon. Thus, they confirmed that using an organic surfactant was the best method for removing the contaminants.