• Geomechanics and Engineering
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• v.24 no.3
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• pp.237-251
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• 2021

The main purpose of this study is to investigate the performance of the proposed hybrid teaching-learning based optimization algorithm on the optimum design of reinforced concrete (RC) cantilever retaining walls. For this purpose, three different design examples are optimized with 100 independent runs considering continuous and discrete variables. In order to determine the algorithm performance, the optimization results were compared with the outcomes of the nine powerful meta-heuristic algorithms applied to this problem, previously: the big bang-big crunch (BB-BC), the biogeography based optimization (BBO), the flower pollination (FPA), the grey wolf optimization (GWO), the harmony search (HS), the particle swarm optimization (PSO), the teaching-learning based optimization (TLBO), the jaya (JA), and Rao-3 algorithms. Moreover, Rao-1 and Rao-2 algorithms are applied to this design problem for the first time. The objective function is defined as minimizing the total material and labor costs including concrete, steel, and formwork per unit length of the cantilever retaining walls subjected to the requirements of the American Concrete Institute (ACI 318-05). Furthermore, the effects of peak ground acceleration value on minimum total cost is investigated using various stem height, surcharge loads, and backfill slope angle. Finally, the most robust results were obtained by HTLBO with 50 populations. Consequently the optimization results show that, depending on the increase in PGA value, the optimum cost of RC cantilever retaining walls increases smoothly with the stem height but increases rapidly with the surcharge loads and backfill slope angle.

• The Journal of Industrial Distribution & Business
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• v.13 no.8
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• pp.19-27
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• 2022

Purpose: CEOs develop policies through their effective decision-making while employees implement the policies so that a business realizes the expected returns. This research focuses on the importance of the CEO's sustainable leadership to distribute environmental education culture to improve employees' environmental performance. Research design, data and methodology: The PRISMA that is selected by the present research is an evidence-based minimum group of entities for reporting in systematic reviews and meta-analyses. The core focus of the concept is to note studies that evaluate the impacts of intervention and can also be utilized as a basis for writing systematic reviews rather than intervention evaluations. Results: The current investigation indicates that there are four kinds of suggestions (a. Increased organizational learning, b. Open communication, c. Participative decision making, d. Psychological empowerment) how the management should develop sustainable leadership for distributing green culture and improving employee green performance. Conclusions: Based on four solutions, the present research concludes that sustainable leadership for CEOs is not only of advantage in terms of protecting the environment and the people, but it fosters increased organizational learning. Increased organizational learning leads to better employee sustainable performance, which includes financial performance and the social and environmental initiatives the organization implements.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.8-9
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• 2021

The unit-water content of concrete is one of the important factors in determining the quality of concrete and is directly related to the durability of the construction structure, and the current method of measuring the unit-water content of concrete is applied by the Air Meta Act and the Electrostatic Capacity Act. However, there are complex and time-consuming problems with measurement methods. Therefore, high frequency moisture sensor was used for quick and high measurement, and unit-water content of mortar was evaluated through machine running and deep running based on measurement big data. The multi-input deep learning model is as accurate as 24.25% higher than the OLS linear regression model, which shows that deep learning can more effectively identify the nonlinear relationship between high-frequency moisture sensor data and unit quantity than linear regression.

• Educational Technology International
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• v.7 no.1
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• pp.1-20
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• 2006

This paper describes practical research on the improvement of teaching and learning process by integrating Web Bulletin Board (WBB) and mobile phone. This paper addresses three topics; A) the interactive lecture with topics-based discussions using the Web Bulletin Board (WBB) as a tool for assisting discussion, B) the introduction of peer evaluation among students to develop their problem-solving and cognitive skills, C) the use of mobile phones for promoting interactive lectures, keeping class attendance, conducting assignments, and providing notices for the next class. Results indicated the following research-findings: (1) WBB plays a role in facilitating positive participation in classes. (2) In contrast to the scenario of the traditional mode of instruction (without the usage of WBB), students were able to deepen their understanding of the theme by accessing the WBB before and after classes. (3) Peer evaluation highly promoted students' motivation to learn, and was effective in cultivating meta-cognition through modeling. (4) Mobile phone was identified as a highly effective tool for keeping class attendance, realizing interactive classes by generating discussions, and managing assignments and homework.

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.23-28
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• 2002

A fundamental problem in building an intelligent agent is that an agent does not understand the meaning of its perception or its action. One reason that an agent cannot understand the world is partially caused by a syntactic approach that converts a semantic feature into a simple string. To solve this problem, Cohen introduces a semantic approach that an agent autonomously learns a meaningful representation of physical schemas, on which some advanced conceptual structures are built, from physically interacting with environment using its own sensors and effectors. However, Cohen does not deal with a meta level of conceptual primitive that makes recognizing a schema possible. We propose that negation is a meta schema that enables an agent to recognize a physical schema. We prove some semantic aspects of negation.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.237-242
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• 2003

Ant Colony System (ACS) Algorithm is new meta heuristic for hard combinatorial optimization problem. It is a population based approach that uses exploitation of positive feedback as well as greedy search. It was first proposed for tackling the well known Traveling Salesman Problem (TSP). In this paper, we introduce ACS of new method that adds reinforcement value for each edge that visit to Local/Global updating rule. and the performance results under various conditions are conducted, and the comparision between the original ACS and the proposed method is shown. It turns out that our proposed method can compete with tile original ACS in terms of solution quality and computation speed to these problem.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.13 no.2
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• pp.182-189
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• 2006

Purpose: This research was done to identify how PBL education using a simulator affects nursing students' critical thinking, self-efficacy, and meta-cognition by applying and developing a PBL module using the Simman simulator. Method: With a one group pre-post test design, the research was conducted with a convenience sampling on 66 students in C College on Jeju Island for 8 weeks from August to October, 2005. The collected data on critical thinking, self-efficacy, and meta-cognition were analyzed using T-test. SPSS 10.0 was used to assist analysis. For study-related variables, means and standard deviations were used. Results: The finding of the research showed that most of the students were in favor of use of PBL-in the curriculum with more than 50% of the scores indicating satisfaction with content of the teaching, the teaching method, and self-confidence in nursing. The results also showed that there was an increase in interest among the students regarding campus practical education. Conclusion: As the application of the PBL module using the Simman simulator elicited more interest and satisfaction from the students, it is worth using this simulator as a the teaching method to improve the practical education in nursing.

• Journal of Practical Engineering Education
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• v.12 no.2
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• pp.363-369
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• 2020

This study intends to examine effects of python education for adolescents. 6 primary studies were chosen through careful search process and investigated through meta-analysis. Research findings were as follows. The total effect size was 0.684. Second, the effect sizes of dependent variables were academic achievement 0.871, cognitive domain 0.625, and affective domain 0.428 in order. Third, for cognitive domain, the effect sizes were self-efficacy 0.833, problem-solving 0.283, computing thinking 0.276, and coding competency 0.251 in order. Fourth, for affective domain, the effect sizes were learning interest 0.560 and programming interest 0.417 in order. Fifth, regarding school level, the effect sizes were middle school 0.851, high school 0.585, and college 0.435 in order. Finally, for subject areas, the effect sizes were mathematics 1.057, design 0.595, information 0.585, and software 0.28 in order.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.103-114
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• 2020

This paper's research objective is to test educational content with different dimensions of knowledge during a graphic basic design course, while also proposing teaching plans and opinions for courses in flipped classrooms as well as enhancing educational efficiency. It categorizes educational content of courses based on the dimensions of knowledge in the learning objectives of Bloom's taxonomy. 120 students are divided into four experimental groups to respectively under go flipped classroom learning by using different dimensions of knowledge involved in course content. Course pretests and post tests are used to obtain and analyze experimental data. Among this knowledge, factual and conceptual knowledge obtained during extra curricular independent learning as well as programmed and meta-cognitive knowledge obtained during in-class learning from a flipped classroom can stimulate student's learning initiative and also enhance learning efficiency. According to research results and student feedback, this paper will propose targeted categorization methods for course content and also suggest educational strategies for these courses' flipped classroom model.

• Journal of The Korean Association of Information Education
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• v.16 no.3
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• pp.337-352
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• 2012

In this paper, a smart education system is developed and implemented for ADHD students. Usually, ADHD students lack of self efficacy. Self efficacy is very important factor for improving social adaptability and learning effect of ADHD students. In the proposed system, MLE concept is adapted. MLE concept is used to improve self efficacy of ADHD students. The purpose of the proposed system is to help ADHD students have high study capability. The proposed system is applied an ADHD student. The following results are obtained. First, the system can improve study interests. In turn, the system is helpful to improve concentration and learning effect. Second, based on successful study experience, self efficacy is improved. Third, study achievement is improved by changing cognitive structure that is due to development of meta-cognition.