• Journal of the Korean Society of Food Culture
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• v.12 no.4
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• pp.411-417
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• 1997

A survey of 28 school foodservice establishments in Seoul and Kangnung was undertaken and detailed information was collected from 3,590 elementary school students. Childrert's satisfaction with the quality of school food was evaluated by questionnaires. It was measured by assessing 15 variables. Statistical data analysis was using SAS package program for descriptive analysis and T-test. Elementary schools in Seoul were all located in urban areas, whereas elementary schools in Kangnung were in urban areas (40.4%), provincial areas (40.0%) and in isolated areas (20.0%). Children seemed to be generally satisfied with the food served, with the lowest score of milk. Mean wastes for soups and Kimchi were found to be larger than those for milk and side dishes. The major reasons for leaving leftover were 'dislike the food (27.4%)'>'too big portion size (23.6%)'>'food is not tasty (19.2%)'>'low appetite (17.6%)'>'food is too overcooked or undercooked (3.9%)'>'food is not hot enough (3.2%)' in order.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.19-39
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• 2012

Korean core banking system has been redeveloped twice in the last 30 years with big-bang method, but still needs innovation to meet everlasting business changes. The objective of this study is to identify which decision criteria lead to replacement decision of core baning system in spite of its huge investment and accompanying business risk. For the study, we conducted a survey to 64 decision makers working in banks and IT service companies, and analysed the data using factor analysis and multi-regression analysis method of SPSS. As a result, we extracted statistically valid decision model with 4 major decision criteria, which are IT external, IT internal, IT ecology and Executive's will factor. Among them, we concluded only IT internal and IT ecology criteria give significant influence over the replacement decision of existing core banking system.

• Bulletin of the Korean Chemical Society
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• v.33 no.7
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• pp.2315-2319
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• 2012

To improve the performance of $LiFePO_4F$, a novel sol-gel process is developed. For comparison, ceramic process is also implemented. From X-ray diffraction results we know that each sample adopts a triclinic $P{\bar{1}}$ space group, and they are isostructural with amblygonite and tavorite. The scanning electron microscope images show that the homogeneous grains with the dimension of 300-500 nm is obtained by the sol-gel process; meanwhile the sample particles obtained by ceramic process are as big as 1000-3000 nm. By galvanostatic tests and at electrochemical impedance spectroscopy method, the sample obtained by sol-gel process presents better electrochemical properties than the one obtained by ceramic process.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.228-239
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• 2022

Many countries around the world using ICT technologies have various technologies to keep pace with the 4th industrial revolution, and various algorithms and systems have been developed accordingly. Among them, many industries and researchers are investing in unmanned automation systems based on AI. At the time when new technology development and algorithms are developed, decision-making by big data analysis applied to AI systems must be equipped with more sophistication. We apply, Pearson's correlation analysis is applied to six independent variables to find out the job satisfaction that office workers feel according to their job characteristics. First, a correlation coefficient is obtained to find out the degree of correlation for each variable. Second, the presence or absence of correlation for each data is verified through hypothesis testing. Third, after visualization processing using the size of the correlation coefficient, the degree of correlation between data is investigated. Fourth, the degree of correlation between variables will be verified based on the correlation coefficient obtained through the experiment and the results of the hypothesis test

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.25-31
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• 2023

Fog computing diversifies cloud computing by using edge devices to provide computing, data storage, communication, management, and control services. As it has a decentralised infrastructure that is capable of amalgamating with cloud computing as well as providing real-time data analysis, it is an emerging method of using multidisciplinary domains for a variety of applications; such as the IoT, Big Data, and smart cities. This present study provides an overview of the security and privacy concerns of fog computing. It also examines its fundamentals and architecture as well as the current trends, challenges, and potential methods of overcoming issues in fog computing.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.13-27
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• 2023

In this study, we tried to identify research trends on artificial intelligence security focusing on the United States, United Kingdom, and South Korea. In Elsevier's Scopus We collected 4,983 papers related to artificial intelligence security published from 2018 to 2022 and by using the abstracts of the collected papers, Keyword frequency and centrality analysis were conducted. By calculating keyword frequency, keywords with high frequency of appearance were identified and through the centrality analysis, central research keywords were identified by country. Through the analysis results, research related to artificial intelligence, machine learning, Internet of Things, and cybersecurity in each country was conducted as the most central and highly mediating research. The implication for Korea is that research related to cybersecurity, privacy, and anomaly detection has lower centralities compared to the United States and research related to big data has lower centralities compared to United Kingdom. Therefore, various researches that intensively apply artificial intelligence technology to these fields are needed.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.201-211
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• 2018

The paper suggests making a policy and strategies for a way of exporting Korean ICT product effectively in the EU and Eastern area, and an effective preparation of 4^th industrial revolution through analysis of preparation status of 4^th industrial revolution of the Visegrad group. Analyze policy, status, what they want for 4^th preparation in the Visegrad group from comparing characteristics analysis of each country's official data, publication data, portal, paper, and etc. They have been preparing for 4^th industrial revolution long time ago as basic research and business before 4^th wave word. With these basic results, they are trying to apply such as, AI, S/W, security, ICT, etc. of 4^th wave core technology. For the development of new export market in EU, the Korean team should research with university and research center or venture company. Through these cooperation, they should understand their personal characteristic, lifestyle, and what consumers want to purchase in EU. And this results can be used in South Asia and India that give a big effect to all over the world ICT market. The external impact of the 4^th wave must have a long-term shift in manpower, and production policy is related to the EU's strategic role, or the preparation of the 4^th wave to the V4 country in the short term.

• Korean Journal of Childcare and Education
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• v.11 no.6
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• pp.177-198
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• 2015

This study is aimed at a comparison analyzing the contents of child 'safety education' in Three-four-year-old Nuri curriculum manual for teachers related activity type and activity form, life theme based on the criteria of analysis. First, the number of contents of child 'safety education' included in the 3 year old Nuri curriculum manual for teachers was 136, and among them, 71(52.2%) were from in big and small group activity. Total 124 contents were in 4-year old group and showed 58(46.8%) contents in big and small group activity. Second, it was identified that the Three-four-year-old Nuri curriculum handled highest number of child 'safety education' activities. Twenty-five activities from 'appliances' among a total of 127 child 'safety education' activities were included and included 21 activities in contents of 'safety for object, tool, and apparatus.' Thirty-three activities among 'health and safety' among a total of 131 child 'safety education' activities were included and it was identified that the highest number of child 'safety education' activities were conducted in 'safety for disease' contents. It will be hope to suggest some of the providing child 'safety education' of Three-four-year-old in education field, and to provide basic data for planning and suggesting directions for various training related to child safety education. Moreover, this study intends to provide basic data for composing necessary manual and program for child 'safety education' and to provide basic data for expanding the safety experience facility.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.597-603
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• 2023

The paradigm of military operations has evolved from platform-centric warfare to network-centric warfare and further to information-centric warfare, driven by advancements in information technology. In recent years, with the development of cutting-edge technologies such as big data, artificial intelligence, and the Internet of Things (IoT), military operations are transitioning towards knowledge-centric warfare (KCW), based on artificial intelligence. Consequently, the military places significant emphasis on integrating advanced information and communication technologies (ICT) to establish reliable C4I (Command, Control, Communication, Computer, Intelligence) systems. This research emphasizes the need to apply data mining techniques to analyze and evaluate various aspects of C4I systems, including enhancing combat capabilities, optimizing utilization in network-based environments, efficiently distributing information flow, facilitating smooth communication, and effectively implementing knowledge sharing. Data mining serves as a fundamental technology in modern big data analysis, and this study utilizes it to analyze real-world cases and propose practical strategies to maximize the efficiency of military command and control systems. The research outcomes are expected to provide valuable insights into the performance of C4I systems and reinforce knowledge-centric warfare in contemporary military operations.

• Journal of Welding and Joining
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• v.15 no.6
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• pp.57-65
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• 1997

A study was undertaken to determine the influence of welding variables such as shielding and plasma gases, torch standoff, travel speed and heat input, etc. on the quality of plasma arc welds in Zircaloy-4 sheet, 2mm thick. Effect of shielding gases and their flow rates on the mechanical properties of Zircaloy-4 welds by plasma arc welding were determined in terms of tensile, bardness and bend tests. The microstructure and fracture surface of Zircaloy-4 welds were investigated by optical and scanning electron microscopies. In addition, the causes of porosity and undercut in plasma arc welds of Zircaloy-4 were also investigated. Zircaloy-4 weld bead width and depth by helium shielding gas showed a wider and deeper than those by argon. It was found that Zircaloy-4 welds with shielding gas of helium did dxhibit a little smoother and uniform weld beads than those with shielding gas of argon. It was also found that the optimum gas flow rates for Zircaloy-4 welding were 0.45l/min for plasma gas with Ar and 4.5 - 6 l/min for shielding gas with He. In addition, there was no big difference in the microstructure and fracture surface of the weld metals made by either Ar shielding gas or He shielding gas.