• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1476-1484
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• 2021

The purpose of this study was to compare the golf performance on transcranial direct current stimulation(tDCS). Ten collegiate golfers were participated. SAMPutt basic unit was used to analyze the kinematic data of putter head. A putting platform and a tDCS were used for putting tasks. It was performed paired t-test to compare between before tDCS and after tDCS. A significant level of .05 using SPSS 24.0. Face at aim and backswing variables of putter head were significantly different during flat putting. Impact spot of putter head was significantly different during 2° of hook slope. However, there were not significantly different others slope angle. It was found that transcranial direct current stimulation had a positive effect on kinematic variables. Based on these results, further research is needed to confirm the effect of transcranial direct current stimulation on body stability during putting task.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.71-76
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• 2022

Round-robin is widely used for the scheduling of large-scale parallel workloads in the computing units of GPGPU. Round-robin is easy to implement by sequentially allocating tasks to each computing unit, but the load balance between computing units is not well achieved in multi-workload environments like cloud. In this paper, we propose a new thread block scheduling policy to resolve this situation. The proposed policy manages thread blocks generated by various GPGPU workloads with multiple queues based on their computation loads and tries to maximize the resource utilization of each computing unit by selecting a thread block from the queue that can maximally utilize the remaining resources, thereby inducing load balance between computing units. Through simulation experiments under various load environments, we show that the proposed policy improves the GPGPU performance by 24.8% on average compared to Round-robin.

• Journal of Environmental Science International
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• v.30 no.5
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• pp.391-397
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• 2021

This study aims to establish the measures required for strengthening the internal stability of and executing the systematic plan for Gangwon-do in relation to the "urban regeneration preliminary project" launched by the Ministry of Land, Infrastructure, and Transport. The results of this study are as follows. The unit project carried out via the Gangwon-do urban regeneration preliminary project presented the tendency for the standardization of the H/W and S/W projects such as the establishment of the community anchor space and the resident competency reinforcement project. Further, rather than focusing on the contents that could objectively measure the effects of the project, it concentrated more on the performance indicators that are required for verifying the execution of unit projects like the establishment of buildings and operating programs. It was found to be insufficient with regard to the practicality of the project, the correlation with the New Deal Project, and the validity of the project contents. To improve these aspects, Gangwon-do would be required to highlight its distinguishability from the other regions and increase its practicality by operating the field-centered urban regeneration educational program, inducing the participation of experts in each of the areas in case there is a need to execute a project plan and discover a project with placeness. It also needs to focus on strengthening its connection with the urban regeneration new deal project by discovering the resident leaders and professional manpower, and establishing the performance indicators needed for systematically monitoring the regional changes in accordance to the urban regeneration preliminary project.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.304-311
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• 2023

The 4th Industrial Revolution and the continuous development of Science and Technology have also required a speedy business promotion method in the defense industry. Advanced countries including the United States are already boldly innovating the existing high-cost and long-term acquisition system with the highest priority in weapons development to cope with the military rise of Russia and China. The Ministry of National Defense and the Defense Acquisition Program Administration have also recently introduced a quick acquisition system and are applying it to business promotion. In addition, some small-scale projects and weapons systems are being reorganized so that they can be managed by the units demanding them. After an organizational diagnosis of the Project Acquisition Group by the Ministry of National Defense in 2020, it has been reassigned as a subordinate unit of the Army Logistics Command from a direct unit managed by the Army HQ. As a result, problems such as work conflict or redundancy have been identified. In addition, a system has been implemented to shorten the acquisition period by applying a rapid acquisition program in the field of weapons systems by benchmarking the rapid acquisition program of advanced countries. The force support system project process will also need to introduce such a quick acquisition system. In addition, the Ministry of National Defense is considering ways to delegate some weapon systems to each military, which will then carry out tasks ranging from requirements determination to project management. Accordingly, it is now time to expand the organization for the management of the Army's weapons system acquisition project. Therefore, in this paper, the Army Project Acquisition Group was analyzed on its organization, acquisition procedures, and cooperation systems, with presentations of development plans for each field.

• Journal of Cadastre & Land InformatiX
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• v.53 no.2
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• pp.93-106
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• 2023

The objective of this study is to improve the survey rate and reliability of survey control point marks, which serve as the foundation for location-based services. Within the scope of this research, we have inspected the current status and reporting systems for national control point marks, public control point marks, and cadastral control point marks, identifying various issues. To tackle these challenges, we have prepared proposals for new unit cost calculations for national control point mark inspections, enhancements to the inspection and reporting systems for survey control point marks, and preliminary reporting procedures for surveyors using these control point marks. Additionally, we have established a workflow to refine the process of survey control point mark inspections and have proposed an automated system for calculating the unit cost for unreported targets. The study anticipates that these changes will improve the efficiency of future survey control point mark inspection tasks.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.30-33
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• 2002

To obtain good performance of radial basis function (RBF) neural networks, it needs very careful consideration in design. The selection of several parameters such as the number of centers and widths of the radial basis functions must be considered carefully since they critically affect the network's performance. We propose a learning algorithm for growing of complexity of RBF neural networks which is adapted automatically according to the complexity of tasks. The algorithm generates a new basis function based on the errors of network, the percentage of decreasing rate of errors and the nearest distance from input data to the center of hidden unit. The RBF's center is located at the point where the maximum of absolute interference error occurs in the input space. The width is calculated based on the standard deviation of distance between the center and inputs data. The steepest descent method is also applied for adjusting the weights, centers, and widths. To demonstrate the performance of the proposed algorithm, general problem of function estimation is evaluated. The results obtained from the simulation show that the proposed algorithm for RBF neural networks yields good performance in terms of convergence and accuracy compared with those obtained by conventional multilayer feedforward networks.

• Nuclear Engineering and Technology
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• v.52 no.9
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• pp.2009-2016
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• 2020

A nuclear power plant is a large complex system with tens of thousands of components. To ensure plant safety, the early and accurate diagnosis of abnormal situations is an important factor. To prevent misdiagnosis, operating procedures provide the anticipated symptoms of abnormal situations. While the more severe emergency situations total less than ten cases and can be diagnosed by dozens of key plant parameters, abnormal situations on the other hand include hundreds of cases and a multitude of parameters that should be considered for diagnosis. The tasks required of operators to select the appropriate operating procedure by monitoring large amounts of information within a limited amount of time can burden operators. This paper aims to develop a system that can, in a short time and with high accuracy, select the appropriate operating procedure and sub-procedure in an abnormal situation. Correspondingly, the proposed model has two levels of prediction to determine the procedure level and the detailed cause of an event. Simulations were conducted to evaluate the developed model, with results demonstrating high levels of performance. The model is expected to reduce the workload of operators in abnormal situations by providing the appropriate procedure to ultimately improve plant safety.

• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1527-1534
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• 2016

Online voltage stability monitoring using real-time measurements is one of the most important tasks in a smart grid system to maintain the grid stability. Loading margin is a good indicator for assessing the voltage stability level. This paper presents an Extreme Learning Machine (ELM) approach for estimation of voltage stability level under credible contingencies using real-time measurements from Phasor Measurement Units (PMUs). PMUs enable a much higher data sampling rate and provide synchronized measurements of real-time phasors of voltages and currents. Depth First (DF) algorithm is used for optimally placing the PMUs. To make the ELM approach applicable for a large scale power system problem, Mutual information (MI)-based feature selection is proposed to achieve the dimensionality reduction. MI-based feature selection reduces the number of network input features which reduces the network training time and improves the generalization capability. Voltage magnitudes and phase angles received from PMUs are fed as inputs to the ELM model. IEEE 30-bus test system is considered for demonstrating the effectiveness of the proposed methodology for estimating the voltage stability level under various loading conditions considering single line contingencies. Simulation results validate the suitability of the technique for fast and accurate online voltage stability assessment using PMU data.

• Journal of Korean Public Health Nursing
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• v.32 no.2
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• pp.221-234
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• 2018

Purpose: This mixed method study was conducted to analyze the changes in nursing students' practice environment due to comprehensive nursing care services. Methods: For the quantitative study, a checklist and practicum evaluation surveys completed by 85 students were analyzed using SPSS utilizing a Mann-Whitney U test. For the qualitative study, 13 students with experience of practice in comprehensive nursing care service units participated in focus group interviews. The data were analyzed using a content analysis method. Results: From the qualitative findings, four themes and eight sub-themes were identified. The four themes were , , , and . The quantitative findings found that students could observe and perform fewer nursing tasks and the students' satisfaction with practice was lower in the comprehensive nursing care service unit. Conclusion: This study was meaningful in that it analyzed the experiences of nursing students in comprehensive nursing care services.

• Journal of Educational Research in Mathematics
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• v.16 no.2
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• pp.157-177
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• 2006

The concepts of ratio and proportion do not develop in isolation. Rather, they are part of the individual's multiplicative conceptual field, which includes other concepts such as multiplication, division, and rational numbers. The current study attempted to clarify the beginning of this development process. One fourth student, Kyungsu, was encourage to schematize his trial-and-error-based method, which was effective in solving so-called missing-value tasks. This study describes several advancements Kyungsu made during the teaching experiment and analyzes the challenges Kyungsu faced in attempting to schematize his method. Finally, the mathematical knowledge Kyungsu needed to further develop his ratio and proportion concepts is identified. The findings provide additional support for the view that the development of ratio and proportion concepts is embedded within the development of the multiplicative conceptual field.