• Journal of the Semiconductor & Display Technology
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• v.7 no.1
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• pp.7-10
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• 2008

Effect of Pd addition on crystal structures of two nickel silicides, NiSi and $NiSi_2$, is investigated by using an ab initio calculation. A Pd atom substitutes a Ni and Si site, respectively, to evaluate the preferable site between them. Pd prefers Ni site to Si site in NiSi, while it prefers Si site to Ni site in $NiSi_2$. The calculated total energy also indicates that the Pd substitution to Si site stabilizes the $NiSi_2$ structure. This calculated data matches well with the experimental data obtained from Atom probe.

• Asia pacific journal of information systems
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• v.28 no.3
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• pp.167-182
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• 2018

The purpose of this study is to investigate the relationship between knowledge sharing and academic performance in the context of quality-assurance related work. It furthermore aims to explore the role of information technology in mediating this relationship. Quantitative method was applied to collect data from the participants using an online-based questionnaire. Convenience sampling technique was used. The responses were collected from 140 participants in a university from Saudi Arabia. The study found a strong positive relationship between knowledge sharing and individual performance. It was also found out that information technology partially mediates the relationship between knowledge sharing and individual performance. The research unearths the significant contribution made by information technology in mediating the relationship between individual-level knowledge sharing and the individual performance. This helps to understand the positive impacts on individual work performance in institutions of higher education that would be derived if individuals use various forms of IT to share knowledge. The focus of the research is the individual performance as the pertinent contribution towards positive outcomes in institutional performance.

• Journal of Korean Library and Information Science Society
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• v.8
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• pp.97-126
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• 1981

The professional duties of librarians and other information workers involve a generalized body of both theoretical and practical knowledge (the so-called, 'common core') which is a n.0, pplicable worldwide without regard to national boundaries, levels of economic and technical development or cultural context. The current study is an attempt to validate and su n.0, pport this common core concept through a detailed examination of its important role in the sound development of library and information science both as a learned subject and as a profession. Following an initial overview of generally agreed upon core areas in the education and training of librarians and information specialists, with particular attention to the manifold social changes rapidly being effected by computers and communication technology, the focus shifts to the proliferation of academic homes for information science education and its implications for core areas in information science. Of note here is the relationship between information science as a broadly accepted social science discipline and the evolving core curriculum in library schools. To this regard the fact that the popularization of computers and communication technology is increasingly blurring the once-sharp differences between traditional librarians and information specialists naturally favors common core concept. Major figures in library and information science education such as Shera, Saracevic and Foskette su n.0, pport this concept and have already identified its theoretical infrastructure. Finally, UNESCO and IFLA are also stressing the common core cure curriculum for library and information science both as guidelines for the Third World and as a means to achieve universally accepted academic standards. In conclusion, the search for a comprehensive common core curriculum in library and information science education is still in the elementary stages. The task of identifying the components of this common core is among the most crucial responsibilities facing today's educators and professionals for the successful elaboration of a common core would enable us to attain three highly desirable professional goals: 1) To determine the basic concepts and principles of library and information science. 2) To serve as the base for further professional education and specialized research. 3) To offer enhanced o n.0, pportunities for integrated library and information science education programs by providing a genuine two-way communication channel between the library and information science professions.

• Journal of Engineering Education Research
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• v.26 no.2
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• pp.3-22
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• 2023

The purpose of universities is diversifying, such as education and research for the transfer of knowledge and technology, and training talented people with the competencies required in industrial sites. Therefore, universities are attempting various forms of industry-academic cooperation to maintain organic relations with companies and to conduct research activities, technology sharing, technology development, technology transfer, and human resources training. In particular, in the field of engineering education, various industry-academic cooperation programs such as field training, interns, and start-up support are actively developed and operated. Accordingly, the Engineering Education Innovation Research Information Center developed an online industry-academic cooperation capstone design matching platform for engineering education to enable collaboration between universities and companies nationwide. The industry-academic cooperation matching platform was developed under the theme of capstone design. Capstone design is a project-oriented and problem-based learning method that combines the knowledge and experiences acquired by the undergraduate department and designs and produces them. The subject of the Capstone design project was to solve corporate difficulties and allow companies and universities to collaborate. This study developed an online industry-academic cooperation capstone design matching platform according to analysis, design, development, evaluation, and execution procedures. This study is meaningful in that it has developed a channel through which students and companies, who are the subjects of industry-academic cooperation, can carry out projects and communicate organically through an online matching platform.

• Journal of The Korean Association of Information Education
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• v.8 no.2
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• pp.167-176
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• 2004

Due to the development of information communication technology, educational environment has undergone much change and various types of teaching and learning methods based on information communication technology has been suggested. Recently, remote education using the internet are also spreading. However, in current classrooms, students are asked to do an teacher-centered assignment, which they are required to collect and report some information using the internet. This method does not help students use the advantages of learning using the internet, which stimulate students-students interaction and teacher-students interaction.Thus, this study focused on the problem-based learning system based on video communication technology. The researcher designed the problem-based learning system based on video communication technology and applied the system to classes at elementary school. The results were analyzed in terms of students-students interaction and teacher-students interaction in the internet. This research found that the problem-based learning system stimulates teacher and students communication and has positive effects on students' attitude and interest in learning. This research proposes that the traditional teacher-centered teaching method can be supplemented with cyber space learning, which has the merit of problem-based learning model.

• Journal of Engineering Education Research
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• v.21 no.6
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• pp.3-12
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• 2018

The importance of software in the engineering field is increasing day by day, so the utilization and understanding of the simulation software in the engineering design stage has become the core competence of the engineer. This study presents a new software education method for multiple systems in the field of mechanical engineering using a workflow execution environment as a sub-module of a computational platform (called EDISON platform) that can incorporate in-house software tools developed by many simulation tool developers. It can execute not only individual software tools such as fluid flow, structure, optimal design, but also conduct connective executions of multiple software tools. Based on this simulation environment, a methodology was proposed that can be applied to convergence types of engineering educations. By properly using this methodology, it is expected that beginning engineers could encourage their specialties understanding the big pictures of the analysis processes.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.694-706
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• 2019

In this study, we applied the long short-term memory (LSTM) model to classify the cryptocurrency price time series. We collected historic cryptocurrency price time series data and preprocessed them in order to make them clean for use as train and target data. After such preprocessing, the price time series data were systematically encoded into the three-dimensional price tensor representing the past price changes of cryptocurrencies. We also presented our LSTM model structure as well as how to use such price tensor as input data of the LSTM model. In particular, a grid search-based k-fold cross-validation technique was applied to find the most suitable LSTM model parameters. Lastly, through the comparison of the f1-score values, our study showed that the LSTM model outperforms the gradient boosting model, a general machine learning model known to have relatively good prediction performance, for the time series classification of the cryptocurrency price trend. With the LSTM model, we got a performance improvement of about 7% compared to using the GB model.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.346-350
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• 2023

Trajectory prediction is an essential element for driving autonomous vehicles, and various trajectory prediction models have emerged with the development of deep learning technology. Convolutional neural network (CNN) is the most commonly used neural network architecture for extracting the features of visual images, and the latest models exhibit high performances. This study was conducted to identify an efficient CNN backbone model among the components of deep learning models for trajectory prediction. We changed the existing CNN backbone network of multiple-trajectory prediction models used as feature extractors to various state-of-the-art CNN models. The experiment was conducted using nuScenes, which is a dataset used for the development of autonomous vehicles. The results of each model were compared using frequently used evaluation metrics for trajectory prediction. Analyzing the impact of the backbone can improve the performance of the trajectory prediction task. Investigating the influence of the backbone on multiple deep learning models can be a future challenge.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.271-280
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• 2005

For successful accomplishment of ICT application in education that has been carried out in elementary schools, comprehensive supports to the essential factors, that are related systematically, in education such as curriculum, educational environment, and teachers are necessary. With this idea in mind, the purpose of this work is to analyze barriers to ICT application in education and propose desirable improvement plans for activating ICT application in education for elementary schools. For this purpose, in this work, we first conduct an extensive survey. In order to get the extensive survey results, three points of view, that is, curriculum, educational environment, and teachers are considered. Based on the survey results, we present the current status and activation plans of ICT application in education for each point of view.

• Journal of Computing Science and Engineering
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• v.11 no.3
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• pp.79-91
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• 2017

In this paper, the abdominal-deformation measurement scheme is conducted on a shape-flexible mannequin using the DIC technique in a stereo-vision system. Firstly, during the integer-pixel displacement search, a novel fractal dimension based on an adaptive-ellipse subset area is developed to track an integer pixel between the reference and deformed images. Secondly, at the subpixel registration, a new mutual-learning adaptive particle swarm optimization (MLADPSO) algorithm is employed to locate the subpixel precisely. Dynamic adjustments of the particle flight velocities that are according to the deformation extent of each interest point are utilized for enhancing the accuracy of the subpixel registration. A test is performed on the abdominal-deformation measurement of the shape-flexible mannequin. The experiment results indicate that under the guarantee of its measurement accuracy without the cause of any loss, the time-consumption of the proposed scheme is significantly more efficient than that of the conventional method, particularly in the case of a large number of interest points.