• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.491-494
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• 2021

The article clarifies the definition and components of the ICT competence of future teachers, justifies the introduction of a motivational-value component. ICT competence of future teachers has a four-component structure: motivational-value, general-use, general pedagogical, subject-pedagogical components. The levels (reproductive, productive, creative), criteria and indicators of the formation of ICT-competence of students of a pedagogical college are determined, the content of these levels (reproductive, productive, creative) is disclosed, respectively.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.218-226
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• 2019

The use of Information and Communication Technologies (ICT) is the key to operate a change from the traditional manual reading of water meters and sensors to an automated system where high frequency data is remotely collected and analyzed in real time, one of the main components of a Smart Water Grid. The recent boom of ICT offers a wide range of both wired and wireless technologies to achieve this objective. We review and present in this article the most widely recognized technologies and protocols along with their respective advantages, drawbacks and applicability range which can be Home Area Network (HAN), Building Area Network (BAN) or Local/Neighborhood Area Network (LAN/NAN). We also present our findings and we give recommendations on the application of ICT in Smart Water Grids and future work needed.

• Journal of Sensor Science and Technology
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• v.32 no.1
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• pp.1-9
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• 2023

Recently, the digital healthcare technologies including non-invasive diagnostics based on Internet of Things (IOT) are getting attention. Human exhaled breath contains a variety of volatile organic compounds (VOCs), which can provide information of malfunctions of the body and presence of a specific disease. Detection of VOCs in exhaled breath using gas sensors are easy to use, safe, and cost-effective. However, accurate diagnosis of diseases is challenging because changes in concentration of VOCs are extremely small and lots of body factors directly or indirectly influence to the conditions. To overcome the limitations, highly selective nanosensors and artificial intelligent electronic nose (E-nose) systems have been mainly researched in recent decades. This review provides brief reviews of the recent studies for diabetes and lung cancer diagnosis using nanosensors and E-nose systems.

• Journal of Korea Game Society
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• v.9 no.4
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• pp.45-56
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• 2009

It is necessary for young children to integrate the sense of sight, hearing, touch, etc. for developing their emotion and cognition. Thanks to Information and Communication Technology (ICT) development, young children have more opportunities to use various senses in learning process. However, ICT learning method is more focusing on the sense of sight and hearing, and lacks of integrated recognition and this fact leads to the reason why ICT can not be used as a main education tool. Therefore, this study evaluated the influence of wUbi-Pen(haptic device) on cognition using a computer puzzle program. The results show that young children using a haptic pen have greater intention and performance in object assembly, mazes, picture completion in K-WPPSI test than those of non-using haptic pen. This implies that haptic function should be considered in ICT material and indeed useful in various cognition-related symptoms and diseases.

• Journal of Digital Contents Society
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• v.5 no.3
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• pp.213-218
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• 2004

The objective of this paper is to verify the usefulness and validity of ICT-based elementary education for musical composition using multimedia technology. Cearing with the characteristic of musical education, multimedia technology, which has made dazzling progress thanks to the rapid development of computer for the last several year, is expected to be a new alternative to overcome various problems of musical education and enhance students` musical function and knowledge. In particular, if ICT-based musical education is introduced in teaching musical composition, in which many elementary school techers feel difficulties, significant education effects will be produced. ICT-based musical education method in the paper identified imitation and problems in traditional theory-based learning and musical composition class using musical instruments and, as a part of resolving the limitations and problems, instructed elementary students in how to use a computer program and applied the program to musical composition class. As a result, the method maximized learning effect and improved stusents` ability to create melodies in a short term compared to traditional teaching methods.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.151-158
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• 2018

The purpose of this study is to develop a system for predicting students' collaborative problem solving ability based on the ICT factors of PISA 2015 that affect collaborative problem solving ability. The PISA 2015 computer-based collaborative problem-solving capability evaluation included 5,581 students in Korea. As a research method, correlation analysis was used to select meaningful variables. And the collaborative problem solving ability prediction model was created by using the deep learning method. As a result of the model generation, we were able to predict collaborative problem solving ability with about 95% accuracy for the test data set. Based on this model, a collaborative problem solving ability prediction system was designed and implemented. This research is expected to provide a new perspective on applying big data and artificial intelligence in decision making for ICT input and use in education.

• ETRI Journal
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• v.41 no.1
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• pp.23-31
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• 2019

Since the late 20th century, there has been rapid development in the display industry. Only 30 years ago, we used big cathode ray tube displays with poor resolution, but now most people use televisions or smartphones with very high-quality displays. People now want images that are more realistic, beyond the two-dimensional images that exist on the flat screen, and digital holography-one of the next-generation displaysis expected to meet that need. The most important parameter that determines the performance of a digital hologram is the pixel pitch. The smaller the pixel pitch, the higher the level of hologram implementation possible. In this study, we fabricated the world-smallest $3-{\mu}m$-pixel-pitch holographic backplane based on the spatial light modulator technology. This panel could display images with a viewing angle of more than $10^{\circ}$. Furthermore, a comparative study was conducted on the fabrication processes and the corresponding holographic results from the large to the small pixel-pitch panels.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.2
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• pp.65-80
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• 2019

With the advent of the ICT-based 4th industrial revolution, the convergence of the manufacturing industry and ICT seems to be the new breakthrough for achieving the company's competitiveness and play a role on the key element for accelerating the revival of the manufacturing industry. When the smart factory is implemented, each plant can analyze the quantity of data collected, build the data-driven operation systems which can make decisions, and ultimately discover the correlation among many events in the manufacturing sites. As the customers' needs become diversified more and more, it is required for the company to change its operating method from large quantity batch production systems to customizable and flexible manufacturing systems. For performing this requirements, it is essential for the company to adopt the smart factory. Based on technology acceptance model (TAM), this study investigates the factors influencing continuous use intention and switching intention of the smart factory. To do so, a questionnaire survey is conducted both online and offline. 122 samples are used for the study analysis. The results of this study will provide many implications with many researchers and practitioners relevant smart factories.

• International Journal of Advanced Culture Technology
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• v.4 no.4
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• pp.70-74
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• 2016

Electronic commerce (E-commerce) using virtual reality (VR) has the advantage of being able to purchase products without restrictions of time and location by overcoming the limitations of existing offline transactions. It is still a rudimentary but fast growing technology, and the use of E-commerce in VR is expanding. The barriers that consumers might face in utilizing E-commerce in VR is the relevance to Information and Communications Technologies (ICT) technology. Fundamentally, it requires Internet access and use through PCs or mobile devices such as smart phones. Because unlike off-line markets, it is difficult to determine the purchase patterns of customers, customer purchasing behavior analysis must be done using computer access records. In order to expand and develop E-commerce in VR in the future, learning ability should be improved through combining with artificial neural network by deep learning that is recently in the spotlight, and the ability to overcome errors need to be improved to enable use in various fields.

• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1132-1139
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• 2019

Big data is prominently used as a prediction method in achieving a goal, because it can analyze the regularities to predict future results from a vast amount of past data. Furthermore, big data has huge influence in very diverse academic fields. On such awareness, this study analyzed the regular effect of e-Commerce usefulness from the effects which expectations on big-data service affect the usage purpose of e-Commerce usefulness. This study categorized e-Commerce usefulness into quality recognition, service, and ease, and studied how each category works between the relationship of big-data service expectation and the use intention.