• Nuclear Engineering and Technology
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• v.54 no.10
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• pp.3864-3877
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• 2022

We propose a new approach called PESA (Prioritized replay Evolutionary and Swarm Algorithms) combining prioritized replay of reinforcement learning with hybrid evolutionary algorithms. PESA hybridizes different evolutionary and swarm algorithms such as particle swarm optimization, evolution strategies, simulated annealing, and differential evolution, with a modular approach to account for other algorithms. PESA hybridizes three algorithms by storing their solutions in a shared replay memory, then applying prioritized replay to redistribute data between the integral algorithms in frequent form based on their fitness and priority values, which significantly enhances sample diversity and algorithm exploration. Additionally, greedy replay is used implicitly to improve PESA exploitation close to the end of evolution. PESA features in balancing exploration and exploitation during search and the parallel computing result in an agnostic excellent performance over a wide range of experiments and problems presented in this work. PESA also shows very good scalability with number of processors in solving an expensive problem of optimizing nuclear fuel in nuclear power plants. PESA's competitive performance and modularity over all experiments allow it to join the family of evolutionary algorithms as a new hybrid algorithm; unleashing the power of parallel computing for expensive optimization.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.333-342
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• 2024

This study analyzes the curriculum applied to students of specialized high schools in 2025, when the 2022 revised curriculum is fully implemented, and proposes a curriculum to help schools and companies that are still organizing the curriculum. In addition, through a questionnaire on apprenticeship education by unit school students, parents, and corporate teachers, we will examine the requirements of each subject in the middle and further study ways to develop the current work-learning parallel system of apprenticeship students and ordinary students after pre-employment. As apprenticeship education continues to develop, continuous research, interest, and support are needed to establish apprenticeship education in the changed curriculum, which should continue to be studied as basic research in the parallel of national-level work-learning in the future.

• Research in Mathematical Education
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• v.26 no.3
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• pp.167-202
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• 2023

A central problem of mathematics teaching worldwide is probably the insufficient adaptive handling of tasks-especially in computational practice phases and modeling tasks. All students in a classroom must often work on the same tasks. In the process, the high-achieving students are often underchallenged, and the low-achieving ones are overchallenged. This publication uses different modeling of the tennis serve as an example to show a possible solution to the problem and develops and discusses one adaptive task each for middle school, high school, and college using three mathematical models of the tennis serve each time. From model to model within the task, the complexity of the modeling increases, the mathematical or physical demands on the students increase, and the new modeling leads to more realistic results. The proposed models offer the possibility to address heterogeneous learning groups by their arrangement in the surface structure of the so-called parallel adaptive task and to stimulate adaptive mathematics teaching on the instructional topic of mathematical modeling. Models A through C are suitable for middle school instruction, models C through E for high school, and models E through G for college. The models are classified in the specific modeling cycle and its extension by a digital tool model, and individual modeling steps are explained. The advantages of the presented models regarding teaching and learning mathematical modeling are elaborated. In addition, we report our first teaching experiences with the developed parallel adaptive tasks.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.507-514
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• 2021

K University of engineering college awarded degrees to workers for major of electrical and electronics in the degree-linked work-study parallel system for the first time in February 2020. In this study, the progressed process to the stage of producing group graduation works for graduates and completing the results in an engineering thesis system were presented. The questionnaire consisting of 39 questions was conducted with the subjects, and the results of the responses were compared and analyzed with the results of full-time students in the same major who graduated in the same year. Statistical analysis was attempted by dividing the five representative response questions by group, but the number of people in each group was less than 30, so the normality test of response results and statistical analysis by parametric methods were limited. However, it was judged that a one-sample t-test was possible. Focusing on this method, it was confirmed that there was a difference of 0.8 points or more between the groups on an average 5-point scale in response items related to the number of changes in the subject of the work, the satisfaction among the members, and the effort to guide the work. And the measures to deal with these differences were suggested.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.401-405
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• 1993

This paper presents a neuro adaptive control method for nonlinear dynamical systems based on artificial neural network systems. The proposed neuro adaptive controller consists of 3 layers artificial neural network system and parallel PD controller. At the early stage in learning or identification process of the system characteristics the PD controller works mainly in order to compensate for the inadequacy of the learning process and then gradually the neuro contrller begins to work instead of the PD controller after the learning process has proceeded. From the simulation studies the neuro adaptive controller is seen to be robust and works effectively for nonlinear dynamical systems from a practical applicational points of view.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.245-254
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• 2022

This study is a study to empirically verify the mediating effect on college life adaptation and career preparation behavior of college students. The purpose of this study is to empirically analyze the multi-mediated effects of major satisfaction, job stress, and self-directed learning. For this study, 216 university students were enrolled. For the collected data, SPSS Process macro was used. The result is as follows. First, there were multiple parallel mediating effects and multiple serial mediating effects on major satisfaction, job stress, and self-directed learning between college life adaptability and career preparation behavior. Second, the path of simple mediation and double mediation effect was found between college life adaptation and career preparation behavior. Based on the research, the necessity of revitalizing the program for revitalization of teaching activities and industry-academic cooperation activities in the major field and improvement of career preparation behavior and university life adaptation ability and follow-up research were suggested.

• Korean Institute of Interior Design Journal
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• no.41
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• pp.96-103
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• 2003

The historical separation between organization studies and architecture area created a design environment in which wort processes are evaluated separately from setting where they occur. The impact of separation has been parallel yet disconnected development in th two disciplines in which the advance in one arena have not precipitated advances in the other. This is the unfortunate loss as each discipline has the potential to contribute directly to the other. With the emergence of new economy the opportunity to realign the tow disciplines is once again presented as new ways of working have enhanced this opportunity. It is important to revisit the historical development of the tow disciplines and to discuss how the misalignment of their respective concerns contributed to the establishment of our current situation. What happened to create an environment in which organizations assume that one of their largest capital expenditures the cost of providing work spaces for employees is unrelated to their work process\ulcorner what recent developments offer opportunities to rectify this dilemma\ulcorner In this study it is presented a historical review of organization studies and architecture. Through examination of these areas across time it becomes quite apparent that it is now appropriate to pose new questions about organization and their architecture. The comparison of two parallel developments explains how the current design environment is separated from organization studies and offers compelling evidence for why it is important to revisit this separation in light of contemporary theories on collaborative work, organizational learning and communities of practice.

• Journal of the Society of Naval Architects of Korea
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• v.60 no.3
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• pp.202-211
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• 2023

The profile shops in shipyards produce section steels required for block production of ships. Due to the limitations of shipyard's production capacity, a considerable amount of work is already outsourced. In addition, the need to improve the productivity of the profile shops is growing because the production volume is expected to increase due to the recent boom in the shipbuilding industry. In this study, a scheduling optimization was conducted for a parallel welding line of the profile process, with the aim of minimizing tardiness and the number of set-up changes as objective functions to achieve productivity improvements. In particular, this study applied a dynamic scheduling method to determine the job sequence considering variability of processing time. A Markov decision process model was proposed for the job sequence problem, considering the trade-off relationship between two objective functions. Deep reinforcement learning was also used to learn the optimal scheduling policy. The developed algorithm was evaluated by comparing its performance with priority rules (SSPT, ATCS, MDD, COVERT rule) in test scenarios constructed by the sampling data. As a result, the proposed scheduling algorithms outperformed than the priority rules in terms of set-up ratio, tardiness, and makespan.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.10
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• pp.77-85
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• 1993

In this paper, we present a method to solve a convexly combined fuzzy relational equation with generalized connectives. For this, we propose a neural network whose structure represents the fuzzy relational equation. Then we derive a learning algorithm by using the concept of back-propagation learning. Since the proposed method can be used for a general form of fuzzy relational equations, such fuzzy max-min or min-max relational equations can be treated as its special cases. Moreover, the relational structure adopted in the proposed neurocomputational approach can work in a highly parallel manner so that real-time applications of fuzzy sets are possibles as in fuzzy logic controllers, knowledge-based systems, and pattern recognition systems.

• Human Ecology Research
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• v.62 no.1
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• pp.81-100
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• 2024

This paper presents a case study in which a lesson was designed and applied to enhance preservice home economics teachers' instructional design competence using the metaverse. For 15 weeks from March 6 to June 14, 14 students enrolled on the course 'Multimedia Home Economics Education' for preservice home economics teachers used the metaverse to engage in problem-based learning to solve instructional design problems in home economics classes. In accordance with the ADDIE design model, in the analysis stage, we assessed preservice home economics teachers' level of knowledge of lessons using the metaverse, and their perceptions of the possibility, necessity, and usefulness of using the metaverse in home economics lessons. In the design and development stage, lesson plans, questions for problem-based learning, assessment tools, and teaching and learning materials were developed. The implementation was conducted in parallel with training on understanding multimedia and the metaverse, and instructional design competence was evaluated through pre- and post-testing and reflection journals. The results revealed that the preservice home economics teachers acquired a good understanding of lessons using the metaverse, learned how to design lessons for self-directed learning by applying the metaverse to their home and classroom, and gained confidence in applying it to their teaching practice or in-service work. It is expected that the results of this study will be used as support materials for prospective and current home economics teachers to design home economics lessons using the metaverse, thereby expanding the horizons of home economics education.