• Journal of the Semiconductor & Display Technology
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• v.14 no.4
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• pp.8-12
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• 2015

As NMP (N-Methyl-2pyrrolidone) is becoming important in many fields, the demand for it is also rising rapidly. With its chemical property of high boiling point, low vapor pressure and high water solubility, it is easy to recover it after processing. Therefore, it is increasingly needed to develop a system that effectively recovers NMP solvent. The study produced a system modeling using AMESim software before developing high purity solvent recovery (HPSR) system to recover NMP solvent. Then, it verified reliability by comparing the simulation model with the test result.

• International Journal of Contents
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• v.12 no.3
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• pp.47-53
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• 2016

The purpose of this study was to examine how Korean students accept and use mobile-assisted language learning (MALL) and investigate related factors that potentially affect MALL usage. The participants were 244 undergraduate students who were surveyed with a questionnaire. The research model, which included students' self-efficacy, content reliability, interactivity, perceived enjoyment, perceived usefulness, perceived ease of use, attitude, and behavioral intention to use MALL, was developed based on the technology acceptance model (TAM). The structural equation modeling (SEM) technique was employed in order to analyze the overall results of modified TAM and the research model. The results indicated that TAM was a good theoretical tool to understand students' acceptance of MALL. In addition, all constructs, with the exception of self-efficacy and interactivity, had significant effects on students' acceptance possibilities of MALL. Limitations and suggestions for the further study are also presented.

• Nuclear Engineering and Technology
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• v.55 no.1
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• pp.339-352
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• 2023

Prediction of the time-related traits of pebble flow inside pebble-bed HTGRs is of great significance for reactor operation and design. In this work, an image-driven approach with the aid of a convolutional neural network (CNN) is proposed to predict the remaining time of initially loaded pebbles and the time interval of paired flow images of the pebble bed. Two types of strategies are put forward: one is adding FC layers to the classic classification CNN models and using regression training, and the other is CNN-based deep expectation (DEX) by regarding the time prediction as a deep classification task followed by softmax expected value refinements. The current dataset is obtained from the discrete element method (DEM) simulations. Results show that the CNN-aided models generally make satisfactory predictions on the remaining time with the determination coefficient larger than 0.99. Among these models, the VGG19+DEX performs the best and its CumScore (proportion of test set with prediction error within 0.5s) can reach 0.939. Besides, the remaining time of additional test sets and new cases can also be well predicted, indicating good generalization ability of the model. In the task of predicting the time interval of image pairs, the VGG19+DEX model has also generated satisfactory results. Particularly, the trained model, with promising generalization ability, has demonstrated great potential in accurately and instantaneously predicting the traits of interest, without the need for additional computational intensive DEM simulations. Nevertheless, the issues of data diversity and model optimization need to be improved to achieve the full potential of the CNN-aided prediction tool.

• Journal of The Korean Association of Information Education
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• v.15 no.2
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• pp.265-275
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• 2011

The purpose of this study was to identify the factors that determined the adoption of digital textbook among elementary and middle school teachers, and to propose and validate a revised Technology Acceptance Model. The study was grounded in the innovation diffusion theory and the attribute factors proposed in the theory were used in the model. More specifically, observability, compatibility, and subjective norms were proposed as external factors and usefulness, easy of use, intention to use were proposed as internal factors in the proposed model. It was found that (a) observability, compatibility, and subjective norms were the main external factors that influenced the teachers' intention to use digital textbook and (b) the revised TAM was validated.

• Computers and Concrete
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• v.23 no.1
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• pp.69-80
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• 2019

Modeling approach for mesoscopic model of concrete depicting mass transportation and physicochemical reaction is important since there is growing demand for accuracy and computational efficiency of numerical simulation. Mesoscopic numerical simulation considering binder, aggregate and Interfacial Transition Zone (ITZ) generally produces huge number of DOFs, which is inapplicable for full structure. In this paper, a three-dimensional multiscale approach describing three-phase structure of concrete was discussed numerically. An effective approach generating random aggregate in polygon based on checking centroid distance was introduced. Moreover, ITZ elements were built by parallel expanding the surface of aggregates on inner side. By combining mesoscopic model including full-graded aggregate and macroscopic model, cases related to diffusivity and thickness of ITZ, volume fraction and grade of aggregate were studied regarding the consideration of multiscale compensation. Results clearly showed that larger analysis model in multiscale model expanded the diffusion space of chloride ion and decreased chloride content in front of rebar. Finally, this paper addressed some worth-noting conclusions about the chloride distribution and rebar corrosion regarding the configuration of, rebar diameter, concrete cover and exposure period.

• The Journal of Korean Association of Computer Education
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• v.15 no.4
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• pp.41-49
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• 2012

Advanced ICT(Information and Communication Technology) and popularization of smart devices change our culture as well as our life style and it has changed the way of learning in education area. There have been some researches to make effective smart education systems based on ICT but few of them were designed by a solid concept of smart education. This is because there have been few researches on developing a conceptual model for smart education. The purpose of this study is to propose a conceptual model for smart education: CTLA(Creation, Teaching, Learning and Assessment) model. It includes activities of smart creation, smart teaching, smart learning, and smart assessment considering ICT environment for education and characteristics of digital natives.

• Journal of Engineering Education Research
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• v.26 no.3
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• pp.12-19
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• 2023

The purpose of this study is to develop the Artificial Intelligence thinking-based education program for improving AI literacy and verify its effectiveness for beginner. This program consists of 17 sessions, was designed according to the "ABCDE" model and is a project-based program. This program was conducted on 51 first-year middle school students and 36 respondents excluding missing values were analyzed in R language. The effect of this program on ethics, understanding, social competency, execution plan, data literacy, and problem solving of AI literacy is statistically significant and has very large practical significance. According to the result of this study, this program provided learners experiencing Artificial Intelligence education for the first time with Artificial Intelligence concepts and principles, collection and analysis of information, and problem-solving processes through application in real life, and served as an opportunity to enhance AI literacy. In addition, education program to enhance AI literacy should be designed based on AI thinking.

• Journal of The Korean Association of Information Education
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• v.2 no.2
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• pp.302-308
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• 1998

The goal of this study is to survey a mobile agent technology and apply it to security management system. A tool for implementing mobile agent is introduced and a prototype model for sedcrity management system IS proposed. This study suggest the possiblity of security management system using mobile agent.

• 대한공업교육학회지
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• v.43 no.1
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• pp.158-176
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• 2018

The purpose of this study is to analyze the satisfaction of the manufacturing process and the satisfaction of manufacturing lesson in the lesson of model product manufacturing based on IoT(Internet of Things) for pre-service technology teachers. and we also analyzed 'smart farm' model production manufacturing among various products. The survey questionnaires with 8 questions to investigate satisfaction level of model manufacturing process, difficulties in manufacturing, and the satisfaction level of manufacturing lesson were collected from the 15 pre-service technology teachers and analyzed by using SPSS program. and The results of this study were as follows: First, the lesson satisfaction average level of pre-service technology teachers was high(M=4.22) in model product manufacturing process for the 'smart farm' model making based on the IoT. Second, the average satisfaction level of 'patent search and prior art search report writing education' was as high as 4.07. Therefore, the application of 'prior art search report writing education' showed that it helped to make the product. Third, the best high satisfaction level in the model production manufacturing procedure was 'education of inventive thinking method'(M=4.40). Therefore, the pre-service technology teachers showed that the 'education of inventive thinking methods' was very helpful from the idea design to the optimal selection of idea. The next order of satisfaction level was high(M=4.33) in 'design education and counseling' and 'guidance through selection of professor who guide the production manufacturing in addition to professors who are in charge of lesson'. Because they were helpful in solving the lack of knowledge of pre-service technology teachers. Fourth, satisfaction level with 'the presentation of model making results and exhibitions', 'presentations and participations of external event' was high (M = 4.13). Although the results of interviews with pre-service technology teachers showed that they suffered from lack of knowledge in various technologies, but it was an opportunity to learn things and felt a sense of accomplishment.

• The Journal of Korean Association of Computer Education
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• v.20 no.2
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• pp.35-45
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• 2017

Factors influencing the attitude towards the use of robot-based instruction in special education are explored using the technology acceptance model (TAM). Their interrelatedness is also analyzed. Research data were obtained via a questionnaire survey of elementary, middle, and high school special education teachers in North Chungcheong Province. The results reveal that three factors influence the attitude towards using robot-based instruction in special education: perceived usefulness, perceived ease of use, and social influence. Of these, perceived usefulness exerts the strongest influence. Perceived ease of use was found to be influenced by personal innovation and social influence, and perceived usefulness is influenced by perceived ease of use and personal innovation. Efforts should be made to induce a receptive attitude towards the use of robot-based instruction among teachers for its stable acceptance.