• Journal of the Semiconductor & Display Technology
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• v.19 no.4
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• pp.59-64
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• 2020

In this paper, we found the solution using data based machine learning regression method to check the pore shape, to solve the problem of the experiment quantity occurring when producing scaffold with the 3d printer. Through experiments, we learned secured each print condition and pore shape. We have produced the scaffold from scaffold pore shape defect prediction model using multiple linear regression method. We predicted scaffold pore shapes of unsecured print condition using the manufactured scaffold pore shape defect prediction model. We randomly selected 20 print conditions from various predicted print conditions. We print scaffold five times under same print condition. We measured the pore shape of scaffold. We compared printed average pore shape with predicted pore shape. We have confirmed the prediction model precision is 99 %.

• Journal of the Semiconductor & Display Technology
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• v.21 no.3
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• pp.63-68
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• 2022

In this study, we produced defect detection models using parallel convolution neural networks. If convolution neural networks are constructed parallel type, the model's detection accuracy will increase and detection time will decrease. We produced parallel-type defect detection models using 4 types of convolutional algorithms. The performance of models was evaluated using evaluation indicators. The model's performance is detection accuracy and detection time. We compared the performance of each parallel model. The detection accuracy of the model using AlexNet is 97 % and the detection time is 0.3 seconds. We confirmed that when AlexNet algorithm is constructed parallel type, the model has the highest performance.

• Journal of the Semiconductor & Display Technology
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• v.22 no.1
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• pp.54-58
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• 2023

In this study, we compared the detection accuracy of the parameters of the scaffold failure detection model. A detection algorithm based on convolutional neural network was used to construct a failure detection model for scaffold. The parameter properties of the model were changed and the results were quantitatively verified. The detection accuracy of the model for each parameter was compared and the parameter with the highest accuracy was identified. We found that the activation function has a significant impact on the detection accuracy, which is 98% for softmax.

• Annual Conference of KIPS
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• 2017.04a
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• pp.928-931
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• 2017

네트워크 트래픽 데이터를 정제하여, Convolutional Neural Network Model 훈련에 적합한 데이터 세트로 변환하는데, 그 방법은 패킷 단위의 트래픽 데이터를 이미지 형태로 만드는 것이다. 완성된 데이터 세트를 훈련데이터로 하여 Convolutional Neural Network Model에 훈련하고, 훈련데이터의 이미지 크기를 변환해가며 훈련시킨 결과에 대해 비교 분석 및 평가를 진행한다.

• Journal of Korea Technology Innovation Society
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• v.8 no.3
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• pp.932-954
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• 2005

The purpose of this paper is to evaluate of The University of Science and Technology (UST) as field-oriented graduate school model. The UST is unique in world-wide because of its operating system through the synergy effect of research and education and its interdisciplinary major system differentiated from the traditional graduate school, It first deals with measuring the users satisfaction by using a five-point Likert scale to analyze the general and special factors of UST, through which some findings are pointed out as follows; the education aims and visions are highly satisfied while essential factors in field-oriented education such as curriculum composition, apprentice and tailored education system, field training are not so high level. Finally it points out some suggestions for the UST development.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.7-15
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• 2024

Despite a recent surge in multifaceted research on AI-integrated language learning, empirical studies in this area remain limited. This study adopts a Human-Generative AI parallel processing model to examine students' perceptions, asking 182 college students to independently construct knowledge and then compare their efforts with the results generated through in-classroom conversations with ChatGPT 3.5. In questionnaire responses, most students indicated that they found these activities useful and expressed a keen interest in learning various ways to utilize generative AI for language learning with instructor guidance. The findings confirm that ChatGPT's potential as a virtual conversation partner. Identifying specific reasons for the perceived usefulness of conversation activities and drawbacks of ChatGPT, this study emphasizes the importance of teachers staying informed about both the latest advances in technology and their limitations. We recommend that teachers endeavor to creatively design various classroom activities using AI technology.

• Industrial Engineering and Management Systems
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• v.15 no.4
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• pp.298-306
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• 2016

The gap between universities, scientific centers and industrial-production units is one of higher education concerns. In academic entrepreneurship, the university work simultaneously in education, research and entrepreneurship. The universities play a key and important role in providing educational opportunities in economic development. This research aims to develop and expand science as well as help managers to explain the process of technology transfer in entrepreneurial university. This research is applied-developmental type and on the other hand, data driven theories have been used in this study. Current model is generally tried to meanwhile compensate previous shortcomings, include some strengths such as considering domestic factors of Iran as well as update effective factors on the process of technology transfer. Finally the suggested model has been compared with existing well-known models that each one of those models have some drawbacks which have been tried to be minimized in suggested model as much as possible.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.190-201
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• 2024

This study examined the effect of the distance Infection Control Education Program (ICEP), developed based on the ADDIE model, on infection control knowledge, attitude, and performance among care workers in long-term care facilities nationwide. The program, developed based on the ADDIE model, was applied to 173 care workers directly responsible for nursing care of elderly residents in lomg-term care facilities. The distance ICEP for care workers was conducted through the website and lasted 30 minutes for each of the eight topics. To determine the effectiveness of the education, infection control knowledge, attitude, performance, and satisfaction were surveyed before and four weeks after the program. Differences in infection control knowledge, attitude, and performance before and after the distance ICEP were assessed by a t-test. A significant difference was observed in knowledge and infection control performance after the distance ICEP was administered to care workers. In the sub-domains of infection control performance, overall understanding of infection, regular infection control education, infection control by special pathogen (multidrug-resistant bacteria, tuberculosis, tick-borne infectious diseases), and detailed infection control education by infection site (pressure ulcers and urinary tract infections) were significantly improved. Infection control knowledge and performance improved through the distance ICEP applied to care workers. Satisfaction also displayed high scores on most items and indicated that it was helpful for infection control in facilities, confirming the effectiveness of infection control education. Based on the survey of care workers nationwide, the infection education program can be effectively used for care workers in the future.

• Journal of The Korean Association of Information Education
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• v.23 no.1
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• pp.97-106
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• 2019

Based on previous studies such as TPACK, digital literacy, and maker education, this study searched the Skills for Using Technologies required for elementary school pre - service teachers and classified them into 13 sub - factors in 5 domains. We designed and applied a project-based maker education instructional model to improve Skills for Using Technologies for first grade students at G Education University taking "technology utilization and smart life". Through interviews after the lecture and after the lecture, the ability of university students to utilize the technology was examined and the acceptance attitude was improved. We also modified the project-based maker education model based on interviews, observation logs, and mutual evaluations of college students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.4
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• pp.315-320
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• 2004

Digital technologies have largely changed our way of life in a time-space traditional paradigm. Information Technology(IT) has become the most primary measurement in evaluation of social value. So the efficient education for IT has a big responsibility for the better living conditions. The importance of IT education continue to grow more and more. The intent of this work is to enforce the competitive power of IT education under open-education and to develop the special model of the practical IT curriculum for industry. The proposed curriculum is consisted of various modules which can be easily adapted to real world. So someone who finished IT curriculum can be re-educated the only necessary module with this developed model.