• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.63-66
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• 2004

The SGA(stochastic gradient ascent) algorithm is one of the most important tools in the area of reinforcement learning, and has been applied to a wide range of practical problems. In particular, this learning method was successfully applied by Kimura et a1. [1] to the control of a simple creeping robot which has finite number of control input choices. In this paper, we considered the application of the SGA algorithm to Kimura's robot control problem for the case that the control input is not confined to a finite set but can be chosen from a infinite subset of the real numbers. We also developed a MATLAB-based robot animation program, which showed the effectiveness of the training algorithms vividly.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.793-798
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• 1991

Implementation of AGVS (Automated Guided Vehicle System) in CIMS (Computer Integrated Manufacturing System) generally requires substantial study to optimize design and performance of the guide path. Traditional mathematical approaches have been used with limited success to analyze AGVS. These approaches, however, do not provide a practical opportunity to use by path designers. This paper presents a new approach based on Jules in designing and assessing AGV path to have better design of the closed-loop layout. A framework for the approach is proposed and a case study is reported to demonstrate the framework. Deletion of seldom used paths and addition of bypasses to solve the congestion problem are conducted automatically through simulation expefiments. To visualize die results a graphic control program is developed and integrated with AutoMod/AutoGram simulation package.

• Journal of information and communication convergence engineering
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• v.22 no.2
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• pp.153-158
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• 2024

This study aims to summarize the effects of Arduino-based educational programs through a meta-analysis. Eleven eligible primary studies were obtained through a systematic literature review and coded accordingly. The results are as follows: The meta-analysis revealed that the overall effect size for all the studies was 0.518. Analysis of the moderator variables indicated statistically significant differences between them. Regarding the learning domains, the results were ranked in descending order of the cognitive and affective domains. Within the cognitive domain, the effect sizes were ranked in descending order as follows: logical thinking, content knowledge, convergence competency, self-efficacy, computational thinking, and creative problem-solving skills. In terms of subject areas, the descending order of effect sizes was agriculture, STEAM, environmental science, practical arts, artificial intelligence, informatics, and computers. Regarding school level, the results were ranked in the following descending order: college, elementary school, middle school, and high school.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.93-100
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• 2020

To qualitative improvement in addition to the quantitative growth of field placement, efforts to reduce short-term (4 weeks) and mid-term professional practice (8 weeks) and to increase the proportion of long-term term professional practice (12 weeks or more) are increasing at university sites. There are the problems: the absence of systematic and specialized field placement curriculum of the short-term and mid-term professional practice, the participation of university field placement increases, companies do not prefer to participate in its program and students hesitate to apply to long-term practice due to their major. In order to solve these problems, this paper proposes the IPBP(Industry Problem Based professional Practice) based on Gyeongbuk K University which the students solve the company's difficulties during the field placement with their professor if need. In order to build a win-win field practice culture with participating companies, we suggest that the IPBP solution field practice presented in this paper is one of the good models.

• Korean Journal of Social Welfare
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• v.58 no.1
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• pp.347-372
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• 2006

Drinking Problems among college students have been increasing and being severe social problems. When it is compared with other areas, the research about drinking problems of college students are rare. This study was to examine psychosocial factors influencing on problem drinking among college students. The sample size of this study was 414, which made it possible to do statistical inference. AUDIT was applicated to measure the drinking problems in college student. As statistical method, $X^2$-test, t-test, hierarchial multiple regression analysis were used. The main finding provided that drinking problem of college students was more severe than adult one. Especially binge drinking pattern was remarkable. Male student had many alcohol problems than female students. This study also revealed gender, religious activity, first drinking age, sensation -seeking, drinking motivation, parents' drinking problem, schoolwork record, peer influence had significant direct impact in problem drinking of college students. Based on the results of this study, the author suggested some practical implication and preventive program based on the results and added further study tasks.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.587-598
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• 2024

This study aimed to evaluate the effectiveness of an action learning-based educational program for domestic nursing students. A systematic review and meta-analysis were conducted following PRISMA guidelines. Limited to the period from January 2013 to December 2023, a search conducted across the electronic databases DBpia, RISS, KCI, KISS, and SCIENCE ON identified a total of 779 documents. From these, 13 documents that met the established selection criteria were ultimately included. Thirteen documents meeting the selection criteria were identified, and quality evaluation was independently performed by two researchers using ROBINS-I. The effect size of the action learning-based education program was analyzed using the 'Meta package' in the R program. The effect size for problem-solving was ESr=.68 (95% CI=.30 to 1.06). For communication skills, the effect size was ESr=.39 (95% CI=-.08 to .85), and for critical thinking, the effect size was ESr=.26 (95% CI=.02 to .50). Action learning-based educational programs have been shown to be an effective method for enhancing problem-solving skills and critical thinking among nursing students. Therefore, there is a need for the active implementation of action learning techniques to further develop nursing students' clinical practice capabilities within nursing education.

• Journal of Korean Home Economics Education Association
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• v.21 no.2
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• pp.83-107
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• 2009

The purpose in this study was to provide a basic resource for enhancing teachers' professional competence by examining how the Home Economics(HE) teachers had formed, developed, and introspected the pedagogical content knowledge in the HE classes of secondary schools. Data were collected through in-depth interviews with six HE teachers working at secondary schools. NVivo program, a kind of CAQDAS was used to analyze the data inductively. This study revealed that the HE teachers reflectively introspected the pedagogical content knowledge in Home Economics Education(H-PCK) as follows: First, as for knowledge of perspective on Home Economics Education(HEE), the research participants encouraged students to solve practical problems regarding the objective of HEE. They tried to foster the students' critical thinking ability related to the daily life. They made eager efforts to achieve the mission of HEE as a practical science. Second, as for knowledge of HE curriculum, the research participants mentioned that there was lack of systematic approach concerned with curriculum development. While reorganizing, they always paid attention to its relation to the students' daily lives, to the relationship between the curriculum contents and the social context. Third, as for knowledge of teaching strategies on practical problem-based instruction, the research participants developed the practical problem-based instruction skills. They mentioned students' difficulties in relating the practical problem-based instruction, too. Fourth, regarding knowledge of context, as teachers mostly prepared for progressed instruction alone without communicating with colleagues in the same school, they yearned for and also formed networks with other HE teachers in order to overcome their limitations.

• Journal of Advanced Navigation Technology
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• v.27 no.1
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• pp.23-35
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• 2023

Evidence-based training (EBT) improves a pilot's competency and confidence based on the data(Evidence) from actual aircraft accidents, incidents, operations, and training for safe operation in the fast-paced and large-scale air transportation field. It is a training/assessment program that strengthens resilience for problem solving. As a way to apply this evidence-based training(EBT) to the educational system of ATO and to resolve the problems, I propose 3 improvement plans. They are evaluation criteria that apply the core competencies of EBT to the educational evaluation system, the way to improve the system for standardization of practical test examiners and instructors and also the ways to use Flight Simulation Training Devices(FSTD).

• Structural Engineering and Mechanics
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• v.5 no.3
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• pp.329-338
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• 1997

In this paper a general analytical approach is proposed to analyse the nonlinear response of elastic cable under complex loads. The effect of temperature change on the cable is also considered. From the vertical equilibrium equations of cable, the general analytical formula of vertical displacement is derived. Based on the vertical displacement formula and on the compatibility condition of the cable, the dimensionless equation with respect to cable tension is established. By means of such analytical procedures, the exact solutions of various cable problems can be obtained quickly. The example given in this paper shows that the new procedure is efficient for practical analysis and can be easily implemented by a general computer program without the superposition problem which there has always been in traditional analytical methods.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.14 no.6
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• pp.68-73
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• 2005

Tire manufactures have dealt with noise problem by varying the pitch of the tread. The various formulas for the variations are generally determined differently, however. Often these variations are based on a combination of trial and error, intuition, and economics. Some manufactures have models and analogs to test tread patterns and their variations. These efforts, however practical, do not determine the best variation beforehand or guarantee the best results. For this reason it was felt that a general mathematical approach fur determining the best variation was needed. Moreover, the method should be completely general, easy to use, and sufficiently accurate. This paper discusses a mathematical method called Mechanical Frequency Modulation(MFM) which meets the above requirements. Thus, MFM pertains to computing an irregular time sequence of events so that the resulting excitation spectrum is shaped to a preferred form. The first part of this paper treats the theoretical basis for computing an optimum variation ; the second part discusses experimental results and simulation program which corroborate the theory.