• Korean Journal of Community Nutrition
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• v.17 no.4
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• pp.365-375
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• 2012

The purpose of this study was to develop a risk communication material on artificial food color additives for elementary school students. The development was based on a previous study on the perception and information needs of elementary school students on artificial food colors including that the students usually were interested in artificial food colors, but didn't know about those well, and they wanted to get information on the safety of their intake, function and necessity of food color additives. Based on the above results, a comic book on artificial food colors was developed as a risk communication material for the elementary school students by brainstorming and consultation with experts. The book was titled as 'Variegated artificial food colors! Understanding and Eating'. It contained basic information on food additives focused on artificial food colors including definition, function, calculation of ADI, usage of artificial food colors, quizzes and useful web sites, etc. The results of field evaluation for the developed material by 101 elementary school students were very positive in getting the correct information, understanding artificial food colors and having proper attitude for healthy dietary life. Therefore, the developed material could be used to help elementary school students have proper perception on artificial food colors and facilitate the risk communication on food additives.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.61-68
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• 2020

In the era of the fourth industrial revolution, many production plants are gradually evolving into smart factories that apply information and communication technology to manufacturing, distribution, production, and quality management. The conversion from conventional factories to smart factories has resulted in the automation of production sites using the internet and the internet of things (IoT) technology. Thus, labor-intensive production can easily collect necessary information. However, implementing a smart factory required a significant amount of time, effort, and money. In particular, labor-intensive production industries are not automated, and productivity is determined by human skill. A representative industry of such industries is sewing the industry. In the sewing industry, wherein productivity is determined by the operator's skills. This study suggests that production performance, inventory management and product delivery of the sewing industries can be managed efficiently with existing production method by using smart buttons incorporating IoT functions, without using automated machinery.

• Journal of Digital Convergence
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• v.2 no.1
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• pp.161-175
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• 2004

In this paper we present a review of school information education about technical high school in domestic. The review is based on an extensive research in the practical literature. Business of various forms such as industry, education, and medium is appearing by supply of Internet of all the world. The Information Technology market is developing by leaps and bounds among them, but suitable school information education disgrace and improvement plan were not readied in domestic Information Technology and communication situation. Therefore, this paper?wishes to satisfy purpose by school information education improvement plan and manpower practical conditions about ERP education. So that, is used to accelerate medium and small enterprises information through qualitative, quantitative valuation of medium and small enterprises information manpower supply and demand as well as domestic school information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.1020-1041
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• 2024

With the development of covert communication technologies, the number of covert communication technologies using blockchain as a carrier is increasing. However, using the transaction amount of digital currency as a carrier for covert communication has problems such as low embedding rate, large consumption of transaction amount, and easy detection. In this paper, firstly, by experimentally analyzing the distribution of bitcoin transaction amounts, we determine the most suitable range of amounts for matrix decomposition. Secondly, we design a novel matrix decomposition method that can successfully decompose a large amount matrix into two small amount matrices and utilize the elements in the small amount matrices for covert communication. Finally, we analyze the feasibility of the novel matrix decomposition method in this scheme in detail from four aspects, and verify it by experimental comparison, which proves that our scheme not only improves the embedding rate and reduces the consumption of transaction amount, but also has a certain degree of resistance to detection.

• Journal of Information Technology Applications and Management
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• v.9 no.1
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• pp.111-126
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• 2002

The purpose of this research is to study the effectiveness of applying Information technology to education, so-called education informatization. Education informatiantion consists of building information infrastructure, educational course operation and improvement of the teacher's ICT ( Information and Communication Technology) ability to consolidate and teach educational information development and diffusion. In this study, we've studied the effects of the use of IT on the improvement of student's class Participation and understanding level, We set the hypotheses and tested them. A method of teaching and learning using IT influences the degree of class participation. Educational courses and a method of teaching and learning have been proved to affect the understanding of a lecture. Also, we validated the educational effectiveness on the educational course and class teaching by setting WIS (Weighted least square) on the IT utilization time.

• Journal of Communications and Networks
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• v.14 no.1
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• pp.15-20
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• 2012

As Internet protocol and wireless communications have developed, the number of different types of mobile services has increased gradually. Existing priority-computing schemes cannot satisfy the dynamic requirements of supporting multiple services in future wireless communication systems, because the currently used factors, mainly user priority, are relatively simple and lack relevancy. To solve this problem and provide the desired complexity, dynamic behavior, and fairness features of 3G and beyond 3G mobile communication systems, this paper proposes a novel cross-layer dynamic integrated priority-computing scheme that computes the priority based on a variety of factors, including quality of service requirements, subscriber call types, waiting time, movement mode, and traffic load from the corresponding layers. It is observed from simulation results that the proposed dynamic integrated priority scheme provides enhanced performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.527-530
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• 2010

WSN is composed of a lot of small sensors with the limited hardware resources. In WSN, at the initial stage, sensor nodes are randomly deployed over the region of interest, and self-configure the clustered networks by grouping a bunch of sensor nodes and selecting a cluster header among them. Specially, in WSN environment, in which the administrator's intervention is restricted, the self-configuration capability is essential to establish a power-conservative WSN which provides broad sensing coverage and communication coverage. In this paper, we propose a communication coverage-aware cluster head election algorithm for Herearchical WSNs which consists of communication coverage-aware of the Base station is the cluster head node is elected and a clustering.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.641-642
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• 2018

LED-based visible light communication requires separate transmission and reception equipment and is capable of communication only in the range of the light source. Also, there is an advantage that it can be used in a frequency sensitive area using a visible light band. Research is needed to apply these advantages and characteristics to various fields. In this paper, we implemented and verified the functions of the visible light communication system using broadcast methods.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.1-9
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• 2024

This paper analyzes the trends in generative AI technology based on patent application documents. To achieve this, we selected 5,433 generative AI-related patents filed in South Korea, the United States, and Europe from 2003 to 2023, and analyzed the data by country, technology category, year, and applicant, presenting it visually to find insights and understand the flow of technology. The analysis shows that patents in the image category account for 36.9%, the largest share, with a continuous increase in filings, while filings in the text/document and music/speech categories have either decreased or remained stable since 2019. Although the company with the highest number of filings is a South Korean company, four out of the top five filers are U.S. companies, and all companies have filed the majority of their patents in the U.S., indicating that generative AI is growing and competing centered around the U.S. market. The findings of this paper are expected to be useful for future research and development in generative AI, as well as for formulating strategies for acquiring intellectual property.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.241-247
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• 2021

Particulate matter has emerged as a serious global problem, necessitating highly reliable information on the matter. Therefore, various algorithms have been used in studies to predict particulate matter. In this study, we compared the prediction performance of neural network models that have been actively studied for particulate matter prediction. Among the neural network algorithms, a deep neural network (DNN), a recurrent neural network, and long short-term memory were used to design the optimal prediction model using a hyper-parameter search. In the comparative analysis of the prediction performance of each model, the DNN model showed a lower root mean square error (RMSE) than the other algorithms in the performance comparison using the RMSE and the level of accuracy as metrics for evaluation. The stability of the recurrent neural network was slightly lower than that of the other algorithms, although the accuracy was higher.