• Smart Structures and Systems
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• v.32 no.1
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• pp.37-47
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• 2023

Indirect determination of pan evaporation (PE) has been highly regarded, due to the advantages of intelligent models employed for this objective. This work pursues improving the reliability of a popular intelligent model, namely multi-layer perceptron (MLP) through surmounting its computational knots. Available climatic data of Fresno weather station (California, USA) is used for this study. In the first step, testing several most common trainers of the MLP revealed the superiority of the Levenberg-Marquardt (LM) algorithm. It, therefore, is considered as the classical training approach. Next, the optimum configurations of two metaheuristic algorithms, namely cuttlefish optimization algorithm (CFOA) and teaching-learning-based optimization (TLBO) are incorporated to optimally train the MLP. In these two models, the LM is replaced with metaheuristic strategies. Overall, the results demonstrated the high competency of the MLP (correlations above 0.997) in the presence of all three strategies. It was also observed that the TLBO enhances the learning and prediction accuracy of the classical MLP (by nearly 7.7% and 9.2%, respectively), while the CFOA performed weaker than LM. Moreover, a comparison between the efficiency of the used metaheuristic optimizers showed that the TLBO is a more time-effective technique for predicting the PE. Hence, it can serve as a promising approach for indirect PE analysis.

• The Journal of Korean Medicine
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• v.45 no.1
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• pp.203-214
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• 2024

Objectives: In the context of competency-based education emphasized in Korean Medicine, this study aimed to develop a pilot version of a CPX (Clinical Performance Examination) Practicing Chatbot utilizing large language models with prompt engineering. Methods: A standardized patient scenario was acquired from the National Institute of Korean Medicine and transformed into text format. Prompt engineering was then conducted using role prompting and few-shot prompting techniques. The GPT-4 API was employed, and a web application was created using the gradio package. An internal evaluation criterion was established for the quantitative assessment of the chatbot's performance. Results: The chatbot was implemented and evaluated based on the internal evaluation criterion. It demonstrated relatively high correctness and compliance. However, there is a need for improvement in confidentiality and naturalness. Conclusions: This study successfully piloted the CPX Practicing Chatbot, revealing the potential for developing educational models using AI technology in the field of Korean Medicine. Additionally, it identified limitations and provided insights for future developmental directions.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.27-35
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• 2018

The purpose of this study is to design smart learning based extracurricular program of the university and to analyze the effect of core competencies. This program was formed by 10 teams with S and K University in Seoul, and run a daily camp format to use smart devices and apps. As a result, the participating students, communication skill, self-directed and creativity increased significantly. In addition, the educational effects of this program was positive changes in the areas of 'communication', 'self-directed', 'cooperative learning', 'problem solving' in the focus group interview. And the students responded that the use of smart devices and apps help to immerse in the program and increase their interest. The purpose of this study is to suggest new models and implications for the extracurricular program. In the future, we hope to develop the various smart learning based extracurricular programs for enhancing the competencies.

• Korean Journal of Social Welfare
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• v.61 no.4
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• pp.85-108
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• 2009

The quickening pace of international migration in the last twenty years brought fundamental demographic and social changes to the Korean society. Increasing number of marriage-based immigrant families imposes new challenges on social work community; however, the social work community has not been equipped with necessary practice models, sets of skills and professionals with cultural competency. This study aims to explore an integrative framework of social work practice with this client group. Research foci include the profile of marriage-based immigrant families in Korea, available social services at the time, challenges and issues they face, the compatibility of the empowerment based social work practice, and micro/mezzo/macro level concerns that arise for the effective service provision. Challenges among marriage-based immigrant families are converged into personal/familial, community related, and larger social-cultural issues. Empowerment is a multi-dimensional social process to help people gain control over their lives; a process that fosters power in people, for use in their lives, their communities and in their society. Empowerment based social work practice can be the most competent framework for working with multi-cultural families considering their multi-faceted acculturation issues while they navigate thru Korean society. Issues of educating and training of culturally competent social workers are discussed.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.111-119
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• 2020

The purpose of this study is to suggest how to use digital textbooks to cultivate digital citizenship of elementary and secondary students. We analyzed domestic and international research on digital citizenship and analyzed the definition and elements of digital citizenship. Based on the analysis, we formed a council where field teachers, education experts, and government agencies participated. This study devised the elements and competence models of digital citizenship for elementary and secondary school students, and suggested teaching methods using digital textbooks. As a result, we derived five elements of 'Digital Literacy', 'Digital Communication', 'Digital Ethics', 'Digital Responsibility', and 'Digital Creativity & Collaboration', and devised a 'Triangle competency model' for the school site application.

• Archives of Plastic Surgery
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• v.40 no.4
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• pp.312-319
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• 2013

Over the past decade, driven by advances in educational theory and pressures for efficiency in the clinical environment, there has been a shift in surgical education and training towards enhanced simulation training. Microsurgery is a technical skill with a steep competency learning curve on which the clinical outcome greatly depends. This paper investigates the evidence for educational and training interventions of traditional microsurgical skills courses in order to establish the best evidence practice in education and training and curriculum design. A systematic review of MEDLINE, EMBASE, and PubMed databases was performed to identify randomized control trials looking at educational and training interventions that objectively improved microsurgical skill acquisition, and these were critically appraised using the BestBETs group methodology. The databases search yielded 1,148, 1,460, and 2,277 citations respectively. These were then further limited to randomized controlled trials from which abstract reviews reduced the number to 5 relevant randomised controlled clinical trials. The best evidence supported a laboratory based low fidelity model microsurgical skills curriculum. There was strong evidence that technical skills acquired on low fidelity models transfers to improved performance on higher fidelity human cadaver models and that self directed practice leads to improved technical performance. Although there is significant paucity in the literature to support current microsurgical education and training practices, simulated training on low fidelity models in microsurgery is an effective intervention that leads to acquisition of transferable skills and improved technical performance. Further research to identify educational interventions associated with accelerated skill acquisition is required.

• Journal of the Korea Society of Computer and Information
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• v.19 no.4
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• pp.131-138
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• 2014

The purpose of this paper is to study the effects of the competitiveness of intermediate goods and enterprise's core competency on customer value and enterprise performance. And it is surely meaningful to investigate the intermediate product competitiveness with the variable of interest to recent corporate values and corporate customers with business performance by exploring their relationships. This research focuses on the intermediate goods competitive dimension and the company's core competency, and then several models are proposed. The research model is based on the existing core competencies of the conceptual model, which consists of intermediate goods competitive, core competencies, product innovation, product reliability, customer value and corporate performance. The automobile company in China and Korea are focused in this paper; empirical analysis method is applied to examine the relationships in these areas. The concept of core competencies in the existing competitive enterprises in product and process is defined as the relative advantage. Eight hypotheses are introduced for statistical hypothesis testing. Employees and typical intermediate products in automotive companies in China and Korea are investigated.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.201-208
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• 2013

The purpose of this paper is to study the effects of the competitiveness of intermediate goods and enterprise's core competency on customer value and enterprise performance. And it is the first time to investigate the intermediate product competitiveness with the variable of interest to recent corporate values and corporate customers with business performance by exploring their relationships. Intermediate products, which the competitiveness of products that target structure is introduced for the first time, and the relationships between intermediate goods competitive and product reliability, intermediate goods competitive and product innovation are studied in this paper. Further research on integral, modular, valuable, durability, by measuring parameters such as product innovation and product reliability are also conducted. Eight hypotheses are introduced for statistical hypothesis testing. Employees and typical intermediate products in electronic companies in China and South Korea are investigated. SPSS and AMOS models are applied to perform the statistical analysis. Analysis of the proposed models is fit to an acceptable level. Research results and limitations are discussed, and useful conclusions are drawn.

• Journal of Service Research and Studies
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• v.8 no.2
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• pp.25-39
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• 2018

In the period of great change in human society, a change in educational services is also necessary. Thus, the current research investigates a new model of educational services to prepare people to be successful in an era of service and the fourth industrial revolution. We analyzed all the educational service models from the first educational institution, The Academy, founded by Plato to one of the most innovative institutions, Minerva schools. Then, we designed both an educational institution model and an educational service model that will cultivate and educate prospective students to be multidimensional to fit to the new upcoming eras. Since the era of service in the 21st century is also the era of job creation, we designed models focused on developing the broad knowledge and practical skills need to solve the most complex issues of our time. A new model was designed based on the results of the survey of existing major programs, analysis of the demands of the new generation, competency requirements, and etc. The newly designed conceptual model was improved from study focusing on tools to study that focuses on intrinsic discipline and competence, nurturing dream and imagination. In order to realize the new educational service, we developed technical conditions and a methodology for improving educational service performance. In the future, it is necessary to deepen the study and carry out research on implementing new educational service. In addition, an empirical study of the performance of the new model will also be needed.

• Journal of Internet of Things and Convergence
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• v.8 no.3
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• pp.69-74
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• 2022

Big data related analysis techniques, the prescriptive analytics methodology improves the performance of passive learning models by ensuring that active learning secures high-quality learning data. Prescriptive analytics is a performance maximizing process by enhancing the machine learning models and optimizing systems through active learning to secure high-quality learning data. It is the best subscription value analysis that constructs the expensive category data efficiently. To expand the value of data by collecting research field, research propensity, and research activity information, customized researcher through prescriptive analysis such as predicting the situation at the time of execution after data pre-processing, deriving viable alternatives, and examining the validity of alternatives according to changes in the situation Provides research information service.