• The Journal of Korea Robotics Society
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• v.17 no.1
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• pp.16-24
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• 2022

This paper presents a method that can reduce the computational cost of the hierarchical quadratic programming (HQP)-based robot controller. Hierarchical controllers can effectively manage articulated robots with many degrees of freedom (DoFs) to perform multiple tasks. The HQP-based controller is one of the generic hierarchical controllers that can provide a control solution guaranteeing strict task priority while handling numerous equality and inequality constraints. However, according to a large amount of computation, it can be a burden to use it for real-time control. Therefore, for practical use of the HQP, we propose a method to reduce the computational cost by decreasing the size of the decision variable. The computation time and control performance of the proposed method are evaluated by real robot experiments with a 15 DoFs dual-arm manipulator.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.45-47
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• 2022

Mobile edge computing (MEC), which enables mobile terminals to offload computational tasks to a server located at the user's edge, is considered an effective way to reduce the heavy computational burden and achieve efficient computational offloading. In this paper, we study a multi-user MEC system in which multiple user devices (UEs) can offload computation to the MEC server via a wireless channel. To solve the resource allocation and task offloading problem, we take the total cost of latency and energy consumption of all UEs as our optimization objective. To minimize the total cost of the considered MEC system, we propose an DRL-based method to solve the resource allocation problem in wireless MEC. Specifically, we propose a Asynchronous Advantage Actor-Critic (A3C)-based scheme. Asynchronous Advantage Actor-Critic (A3C) is applied to this framework and compared with DQN, and Double Q-Learning simulation results show that this scheme significantly reduces the total cost compared to other resource allocation schemes

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.371-372
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• 2023

If the participants in construction site safety management perform their duties in accordance with the provisions of the Industrial Safety and Health Act, the burden on safety managers would be minimal. However, the lack of specific work guidelines for each participating entity and the greater responsibility of the safety and health general manager than the management supervisor have resulted in safety managers' workload being increased due to the problem of management supervisors' neglect of safety management. In this study, we conducted a survey of the safety manager's duties and related documents during the construction project initiation, early stages, ongoing work, and disaster occurrence/investigation, and conducted interviews to improve and enhance the division of duties.

• Journal of the Korea Institute of Building Construction
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• v.24 no.3
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• pp.371-380
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• 2024

This study investigated and analyzed overseas construction supervision systems to propose improvements for domestic supervision practices. The findings indicate a need for strengthening the role and responsibility of the ordering organization, sharing the workload and reducing the burden on supervisors, establishing a supervision work evaluation system. By implementing these recommendations, it is anticipated that the quality and effectiveness of construction supervision can be significantly enhanced.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.161-168
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• 2024

As the size of big data models grows, distributed training is emerging as an essential element for large-scale machine learning tasks. In this paper, we propose ParamHub for distributed data training. During the training process, this agent utilizes the provided data to adjust various conditions of the model's parameters, such as the model structure, learning algorithm, hyperparameters, and bias, aiming to minimize the error between the model's predictions and the actual values. Furthermore, it operates autonomously, collecting and updating data in a distributed environment, thereby reducing the burden of load balancing that occurs in a centralized system. And Through communication between agents, resource management and learning processes can be coordinated, enabling efficient management of distributed data and resources. This approach enhances the scalability and stability of distributed machine learning systems while providing flexibility to be applied in various learning environments.

• Journal of Korean Academy of Nursing
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• v.35 no.1
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• pp.65-76
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• 2005

Objective: The aim of this study is to explore the variation in perceptions about problem-based learning(PBL) according to the level of academic achievement and learning attitude in the nursing students of a junior college (3-year program). Method: Students (n=39) learned the respiratory and cardiac system with seven PBL packages and group-based learning for a semester in 2002. Students were asked to write reflective journals that focused on their learning perception after an experience with each learning package. A total of 208 journals were used for analysis. Result: Students positively perceived that PBL making them increase their sense of responsibility for learning and felt satisfaction with the learning process, and had a confidence in the use of clinical nursing interventions. On the other hand, they negatively perceived that PBL was a burden because it took more time than traditional learning tasks, and they experienced an anxiety about regular tests and felt conflicts and diffidences in the learning process. The negative perceptions were expressed more often from students with a low academic achievement and low learning attitude compared to others. Conclusion: Students perceived the PBL as effective in understanding the learning concepts in the clinical practice environment. PBL need to be supplemented by feedback-based lecture and facilitative strategies for academically low-achieved students.Objective: The aim of this study is to explore the variation in perceptions about problem-based learning(PBL) according to the level of academic achievement and learning attitude in the nursing students of a junior college (3-year program). Method: Students (n=39) learned the respiratory and cardiac system with seven PBL packages and group-based learning for a semester in 2002. Students were asked to write reflective journals that focused on their learning perception after an experience with each learning package. A total of 208 journals were used for analysis. Result: Students positively perceived that PBL making them increase their sense of responsibility for learning and felt satisfaction with the learning process, and had a confidence in the use of clinical nursing interventions. On the other hand, they negatively perceived that PBL was a burden because it took more time than traditional learning tasks, and they experienced an anxiety about regular tests and felt conflicts and diffidences in the learning process. The negative perceptions were expressed more often from students with a low academic achievement and low learning attitude compared to others. Conclusion: Students perceived the PBL as effective in understanding the learning concepts in the clinical practice environment. PBL need to be supplemented by feedback-based lecture and facilitative strategies for academically low-achieved students.

• The Korean Journal of Psychodrama
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• v.21 no.2
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• pp.13-26
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• 2018

The purpose of this study was to determine Enneagram personality type and the degree of clinical practice stress by personality type among nursing students, as well as to set a direction for student counseling and develop a management program. For this purpose, the Enneagram personality type inventory, developed by the Korea Enneagram Spirituality Institute, and a clinical practice stress scale were applied to juniors and seniors majoring in nursing in a district who were in clinical practice. The results were analyzed using an SPSS 25.0 program. Type 2 among the nine Enneagram personality types accounted for 47.66% while in the strength- centered area, the emotional area accounted for 64.84%. As for the degree of clinical practice stress by Enneagram personality type, Type 6 was most vulnerable to the training environment, Type 4 to an undesirable role model and conflicts with patients, and Type 5 to the burden of training tasks and conflicts in interpersonal relationships among the sub-areas of stress. As for the degree of clinical practice stress by the strength-centered area of Enneagram, the thinking type was most vulnerable to the training environment, an undesirable role model, the burden of training tasks, and interpersonal relationships, whereas the emotional type to conflicts with patients. To put these results together, nursing students varied in Enneagram personality type and differed in clinical practice stress by the strength-centered area, as well as by personality type. It is therefore necessary to provide nursing students with counseling and guidance through an analysis of their personality type.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.42 no.2 s.332
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• pp.89-96
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• 2005

In this paper, we propose a customer premise platform for processing multimedia data service on the ATM network. The proposed platform has a specific AAL2 processor that includes AAL2 protocol and scheduler algorithm so as to off-load large potion of burden from host processor and make it easy to process multimedia data from the ATM network in real time compared with conventional platform in which AAL/ATM tasks are processed by software. The ATS scheduler that is implemented based on 2-level time slot ring provides a simple and efficient method for scheduling data of VBR-rt, UBR and CBR traffics. TMS320C5402 DSP is used to process voice-related tasks such as voice compression and voice packet manupulation and AAL2 processor is implemented on $0.35\;{\mu}m$ process line. We implemented the customer premise equipment for VoDSL service and tested the proposed platform on a test bed network. The experimental results show that the proposed equipment has the call success rate of $97\%$ at least and provides voice service of toll-qualify.

• Archives of design research
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• v.17 no.4
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• pp.37-50
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• 2004

As web-based programming tools(such as flash action script, javascript, java and etc.) has been improved and it has become more aware to take interactivity importantly as users' whole experience, web sites have evolved from the form of webzine to the form of interactive application that displays more interactive interface and gives instant feedbacks for the users' inputs. Web, rather than software, is used to execute relatively easy tasks by users of various levels, so that web sites could give more fun and less cognitive burden by supporting users' tasks in more interactive way. This paper examined design strategies to make more interactive web by figuring out definition of web interaction as users' experience and by analyzing web interaction design trends from cases of interactive web sites. The ultimate objective of this paper is show how design strategies can be adapted in the web interaction design process. Thus, case study of designing interactive bookshell in E-book site was done and is demonstrating one way of adapting strategies to design web interaction.

• 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.