• Journal of the Semiconductor & Display Technology
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• v.21 no.2
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• pp.90-94
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• 2022

In order to minimize the picking time when the products are released from the warehouse, they should be located close to the exit when the products are released. Currently, the warehouse determines the loading location based on the order of the requirement of products, that is, the frequency of arrival and departure. Items with lower requirement ranks are loaded away from the exit, and items with higher requirement ranks are loaded closer from the exit. This is a case in which the delivery time is faster than the products located near the exit, even if the products are loaded far from the exit due to the low requirement ranking. In this case, there is a problem in that the transit time increases when the product is released. In order to solve the problem, we use the idle time of the stocker in the warehouse to rearrange the products according to the order of delivery time. Temporal difference learning method using Q_learning control, which is one of reinforcement learning types, was used when relocating items. The results of rearranging the products using the reinforcement learning method were compared and analyzed with the results of the existing method.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.845-850
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• 2023

In this paper, we propose a method for diagnosing ball bearing vibration using transfer learning. STFT, which can analyze vibration signals in time-frequency, was used as input to CNN to diagnose failures. In order to rapidly learn CNN-based deep artificial neural networks and improve diagnostic performance, we proposed a transfer learning-based deep learning learning technique. For transfer learning, the feature extractor and classifier were selectively learned using a VGG-based image classification model, the data set for learning was publicly available ball bearing vibration data provided by Case Western Reserve University, and performance was evaluated by comparing the proposed method with the existing CNN model. Experimental results not only prove that transfer learning is useful for condition diagnosis in ball bearing vibration data, but also allow other industries to use transfer learning to improve condition diagnosis.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.241-248
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• 2007

In this paper, we propose a Transformation-Based Learning (TBL) method on generating the Korean standard pronunciation. Previous studies on the phonological processing have been focused on the phonological rule applications and the finite state automata (Johnson 1984; Kaplan and Kay 1994; Koskenniemi 1983; Bird 1995). In case of Korean computational phonology, some former researches have approached the phonological rule based pronunciation generation system (Lee et al. 2005; Lee 1998). This study suggests a corpus-based and data-oriented rule learning method on generating Korean standard pronunciation. In order to substituting rule-based generation with corpus-based one, an aligned corpus between an input and its pronunciation counterpart has been devised. We conducted an experiment on generating the standard pronunciation with the TBL algorithm, based on this aligned corpus.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.641-642
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• 2018

Currently, the performance of positioning technology based on radio wave fingerprint is greatly influenced by the selection of data comparison algorithm. In this case, the accuracy of the indoor positioning can be greatly improved by the data expansion technique necessary for the learning structure. In this paper, we discuss the importance of learning structure that can be applied to actual positioning through classification and extension of learning data to construct learning structure based on Wi-Fi radio fingerprint.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1125-1128
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• 1993

We propose the new method about the neural-based pattern recognition by using Hadamard transform for the improvement of learning speed, stability and flexibility of network. We can obtain the spatial feature of pattern by Hadamard transformed pattern. We carried out an experiment to estimate the effect of Hadamard transform. We tried the learning of numeric patterns, and tried the pattern recognition with noisy pattern. As a result, the learning times of the network for the 'Hadamard' case is smaller than that of usual case. And the recognition rate of the network for the 'Hadamard' case is higher than that of usual case, too.

• Journal of Engineering Education Research
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• v.23 no.4
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• pp.76-83
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• 2020

The purpose of this study is to conduct Project Based Learning (PBL) in collaboration with industry experts to operate practical subjects in an industry-university-linked teaching method. PBL is a teaching method in which students can learn through actively engaging in real-world and personally meaningful projects. For a long period of time, PBL methodologies have been found to be especially effective in engineering education. This case study deals with the operational results of a practice subject which has been conducted over three years from 2017 to 2019 in Korea University of Technology and Education. The course is for the 4^th grade students in the school of mechatronics engineering. The results of the surveyed learning outcomes (for example, Program Outcomes and Course Learning Outcomes) have been analyzed and reflected in the next years for the Continuous Quality Improvement. By working on practical projects linked to industry, students have been able to develop so-called 4C's capabilities which are Critical Thinking, Creativity, Communication and Collaboration.

• The Journal of Korean Academic Society of Nursing Education
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• v.17 no.1
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• pp.25-35
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• 2011

Purpose: The purpose of this study was to evaluate the effects of an intravenous injection case-based clinical performance examination for improvement of problem-solving skill, nursing process application, nursing skill, and learning satisfaction. Method: This study's design was a randomized control group design. A total 93 students (experimental group, 49 control group, 44) who were junior nursing students in South Korea were included in this study. Data were collected from August 12th to 19th, 2010 and analyzed using SPSS 18.0. Result: The mean score of problem solving skills, intravenous injection skill, and learning satisfaction were significantly higher in the experimental group than the control group. However, the mean score of nursing process application was not significantly different between the two groups. Conclusion: These results indicate that the case-based clinical performance examination is effective for problem solving skill, nursing skill, and learning satisfaction. Therefore, it is recommended to adapt such teaching methods with integrated nursing practice education for various clinical skills development.

• Educational Technology International
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• v.19 no.1
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• pp.35-60
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• 2018

The purpose of this study was to analyze the types of lesson and its effectiveness with digital textbook. To address those goals, we had observed five classes of the primary school, which designated as a research pilot school for digital textbook. Based on the result of observation, 3 types of lesson with digital textbook were categorized: Teacher-directed lecture (type 1), Blended learning (type 2), and Flipped learning (type 3). Depending on the type of lesson was analyzed the positive and negative effectiveness by means of matrix analysis method. As a result, in Teacher-directed lecture (type 1), there was found out the participation of the lesson in atmosphere of stable and comfortable as positive experience, also digital textbook operating immature and boring as negative experience. In Blended learning (type 2), there was found out the fun by sharing the product and peer feedback, and flow by learning transfer as positive experience, also digital textbook operating immature and understanding the difference between assignments as negative experience. In Flipped learning (type 3), there was shown the positive attitude and ownership in the lesson as positive experience, also distracting and boring in the lesson when learner was excluded in participation as negative experience. Based on the results, we suggested some strategies for improving positive experience and protecting negative experience in the lesson with using digital textbook.

• International Journal of Costume and Fashion
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• v.18 no.2
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• pp.29-43
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• 2018

Service-learning is a form of experiential education in which students participate in organized activities and develop a sense of civic responsibility while acquiring content knowledge of the discipline. The purpose of this study was first, to examine the underlying theories and principles of service-learning, and second, to present a case of systemic implementation of problem-based service-learning into a Product Innovation and Management class in higher education. The New Product Development for an E-Commerce Small Business project was developed for a community partner, BevShots, reflecting the needs of the firm, and was tightly woven into the course content. Students' participation in the project had a significant effect on increasing their awareness of the needs in the community and identifying their roles as citizens as well as enhancing their content knowledge learning. The community partner also received benefits for his business by participating in the project. Through this study, we aim to inspire fashion design and merchandising educators to implement service-learning projects/classes in the curriculum.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2325-2332
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• 2017

Consulting projects such as diagnosis of vulnerabilities of major information and telecommunication infrastructure are increasing, mandatory public information infrastructure assessment (PIA) for public institutions and ISMS (Information Security Management System) The demand for information protection consulting is continuously increasing as the field obeys the law, but the lack of information security consultant is not improving. One reason is that information security consultants are not being developed to meet the increasing demand for information protection consulting. In this paper, we present the case of information protection consulting as a scenario for studying and educating the duty of information security consultant by studying overseas case and domestic case based on standardization and standardization. We propose a problem-based learning (PBL) training method. In addition, we analyze the effectiveness of the PBL - based learning method.