• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.49-54
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• 2022

Rapid changes in modern society after the COVID-19 have highlighted artificial intelligence talent as a major influencing factor in determining national competitiveness. Accordingly, the Ministry of Education planned a large-scale SW·AI camp education project to develop the digital capabilities of 4th to 6th grade elementary school students and middle and high school students who are in a vacuum in artificial intelligence education. Therefore, this study aims to develop a camp-type SW·AI education program for students in grades 4-6 of elementary school so that students in grades 4-6 of elementary school can acquire basic knowledge in artificial intelligence. For this, the meaning of SW·AI education in elementary school is defined and SW·AI contents to be dealt with in elementary school are: understanding of SW AI, 'principle and application of SW AI', and 'social impact of SW AI' was set. In addition, an attempt was made to link the set elements of elementary school SW AI education and learning with related subjects and units of textbooks currently used in elementary schools. As for the program used for education, entry, a software coding learning tool based on block coding, is designed to strengthen software programming basic competency, and all programs are designed to be operated centered on experience and experience-oriented participants in consideration of the developmental characteristics of elementary school students. In order for SW·AI education to be organized and operated as a member of the regular curriculum, it is suggested that research based on the analysis of regular curriculum contents and in-depth analysis of SW·AI education contents is necessary.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4487-4495
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• 2012

This study analyzes the meal guidance and meal service management of early childhood teachers. The subjects were 171 early childhood teachers who were working in kindergartens and day care centers in Gwangju. A questionnaire was made by the researcher on the basis of relevant materials. The data was analyzed by statistical methods such as frequency, Cronbach's ${\alpha}$, $x^2$, ANOVA and Duncan with the SPSS for Windows 18.0 program. The results are as follow: First, there are significant differences in meal hours, amount of food and meal admeasurer according to workplace type of early childhood teacher. Also, there are significant differences in meal hours, amount of food, meal admeasurer and guidance for late eating infants according to children's age. Second, early childhood teacher consider in order content after meal, content before meal and content during meal. Also, there are significant difference content after meal according to workplace type of early childhood teacher. And there are significant differences in content before meal and content during meal according to children's age.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.427-437
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• 2018

This study explored the effectiveness of the online English learning program contents for elementary school students. The study used the online English learning program served by Gyeonggi province office of education. 107 students attending P elementary school in K city volunteered for the program. After studying English via the website for almost one year, they were asked to respond the questionnaires related to the contents of the online English program. Since the research investigated that the relations of students' grades, the time for the study, their diagnostic test scores, and the effectiveness of the contents, the survey responses were analyzed with Spearman correlation. As a result, older students thought that the type of problem-solving, the type of performing a task, WBI (Web Based Instruction) were not efficacious. Also, these types of online English program were chosen as ineffective from the students at the higher level. Whereas the type of private lesson, the lessons based on a story, and the type of animation were preferred to the students who spent longer time on the website. This highlights the need to consider the students' characteristics such as students' grades, the time for the study, and their English level when developing the contents of the online English learning program.

• Convergence Security Journal
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• v.6 no.4
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• pp.29-40
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• 2006

Recent trends for cyber threat such as worm and virus exploit vulnerabilities inherent to main information communication infrastructures like the internet to achieve economical and political goals. It needs to develop checking programs for new vulnerabilities published in prompt and apply them to vulnerable systems for the defense of those cyber threats. In this paper, we study of methodologies for new vulnerability checking module development proper to user level. First, we analyze current 7 methodologies for the development of new vulnerability checking modules including GFI LANGuard and Nessus and then compare them. Second, We define and propose the 5 unique methodologies for the development of new vulnerability checking modules in depth. Finally, we induct the best methodology proper to a certain user level by assessing each methodology according to conditions which is set virtually.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.12
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• pp.197-203
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• 2014

When the lightning current is injected to the ground system of information and communication facilities, analysis of the transient potential rise in the ground system is one of main factors to effectively design the ground system. The performance of grounding systems is normally estimated with the grounding impedance and the transient potential rise which represents the electrical characteristics of the grounding system. The method for calculating the grounding impedance depending on the injection point of the lightning current was proposed. The delta-gap source model was proposed to calculate the grounding impedance in the case that the lightning current is injected to the center of the horizontal ground electrode. A new program which is possible to apply the frequency-dependent soil parameters using the Debye model was developed, because a commercial program for analyzing the performance of the grounding system can not apply to the frequency-dependent soil parameters. The experiment was carried out to confirm the availability of the simulation results with the same condition. Finally, the transient potential rises of a horizontal ground electrode depending on the lightning current waveforms were analyzed by using the results of the grounding impedance which is associated with the frequency-dependent soil parameters.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.722-729
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• 2010

Prediction problems are widely used in medical domains. For example, computer aided diagnosis or prognosis is a key component in a CDSS (Clinical Decision Support System). SVMs with nonlinear kernels like RBF kernels, have shown superior accuracy in prediction problems. However, they are not preferred by physicians for medical prediction problems because nonlinear SVMs are difficult to visualize, thus it is hard to provide intuitive interpretation of prediction results to physicians. Nomogram was proposed to visualize SVM classification models. However, it cannot visualize nonlinear SVM models. Localized Radial Basis Function (LRBF) was proposed which shows comparable accuracy as the RBF kernel while the LRBF kernel is easier to interpret since it can be linearly decomposed. This paper presents a new tool named VRIFA, which integrates the nomogram and LRBF kernel to provide users with an interactive visualization of nonlinear SVM models, VRIFA visualizes the internal structure of nonlinear SVM models showing the effect of each feature, the magnitude of the effect, and the change at the prediction output. VRIFA also performs nomogram-based feature selection while training a model in order to remove noise or redundant features and improve the prediction accuracy. The area under the ROC curve (AUC) can be used to evaluate the prediction result when the data set is highly imbalanced. The tool can be used by biomedical researchers for computer-aided diagnosis and risk factor analysis for diseases.

• Journal of agricultural medicine and community health
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• v.31 no.3
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• pp.237-244
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• 2006

Objectives: DASH (dietary approaches to stop hypertension) diet are recommended as first-line therapy for prevention of hypertension individuals with high normal blood pressure. We studied the effects of DASH program on blood pressure among the pre-hypertension group. Methods: To determine the impact of dietary patterns on the control of hypertension we studied the subgroup of 141 participants with systolic blood pressure of 120 to 139 mm Hg or diastolic BP of 80 to 89mmHg, body mass index(BMI) ${\geq}25kg/m^3$ or waist to hip ratio(WHR) ${\geq}0.95$(for man). 0.85(for woman) enrolled in DASH program. Participants were received of education and consulting about DASH every week for 8 weeks. Results: The level of diet to prevention of hypertension and compliance of DASH increased after education. Also, The DASH program significantly reduced systolic BP (from $136.03{\pm}12.40mmHg$ to $126.09{\pm}11.25mmHg$, p< .01) and diastolic BP (from $81.80{\pm}6.32mmHg$ to $76.44{\pm}10.61mmHg$, p< .01). Conclusion: The DASH program effectively lowers BP and may be useful in achieving prevention of hypertension.

• Journal of the Korean Applied Science and Technology
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• v.40 no.1
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• pp.113-122
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• 2023

This study attempted to investigate the effects of experience of non-contact lectures on learning flow against college students majoring in cosmetology and provide basic data to beauty education industry in the with-COVID-19 era. For this, a self-administered questionnaire survey was performed against 300 college students majoring in cosmetology from June 7 to 21, 2022. A total of 286 copies were collected and used for final analysis. The collected data were analyzed by frequency analysis, factor analysis, exploratory factor analysis, descriptive statistics, correlation analysis and multiple regression analysis, using SPSS 21.0, and the results found the followings: According to analysis of non-contact lecture experience factors, two course satisfaction factors were obtained. In learning flow, learning pleasure and learning flow were found. Specifically, class activities had a positive influence on 'learning pleasure (𝛽=.279, p<.007)' and 'learning flow (𝛽=.221, p<.031)' with statistical significance (p<.05). In addition, course satisfaction revealed a positive effect on 'learning flow (𝛽=.223, p<.041)' with statistical significance (p<.05). The above results confirm that experience of non-contact lectures affects learning flow. Therefore, it is anticipated that there would be more efforts to seek an efficient non-contact learning plan in this new era.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.233-239
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• 2021

Recently, the COVID-19 virus has caused people to stay indoors longer without going out. As a result of this, people's activity decreased sharply, and their weight gained. So people became more interested in health. Home training can be an alternative method to solve this problem. Accordingly, To find out the trends of home training, we collected articles from December 1, 2019, to November 30, 2020, using the news provided by BIG KINDS, a news analysis system. We analyzed frequency analysis, relational analysis according to weighting, and related word analysis with the program using the algorithm developed by BIG KINDS. In conclusion, first, it was found that home training is led by technology and the emergence of artificial intelligence. Second, it can be assumed that people mainly do home training using content and video services related to mobile carriers. Third, people had a high preference for Pilates in the sports category. It can be seen that the number of patent applications increased as the demand for exercise products related to Pilates increased. In the next study, we expect that this study will be used as primary data for various big data studies by supplementing the research methodology and conducting various analyses.

• Journal of the Korean Society for Nondestructive Testing
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• v.26 no.2
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• pp.77-83
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• 2006

Ultrasonic nonlinearity has been considered as a solution for the detection of microcracks or interfacial delamination in a layered structure. The distinguished phenomenon in nonlinear ultrasonics is the generation of higher-order harmonic waves during the propagation. Therefore, in order to quantify the nonlinearity, the conventional method measures a parameter defined as the amplitude ratio of a second-order harmonic component and a fundamental frequency component included in the propagated ultrasonic wave signal. However, its application In field inspection is not easy at the present stage because no standard methodology has yet been made to accurately estimate this parameter. Thus, the aim of this paper is to propose an advanced signal processing technique for the precise estimation of a nonlinear ultrasonic parameter, which is based on power spectral and bispectral analysis. The method of estimating power spectrum and bispectrum of the pulse-like ultrasonic wave signal used in the commercial SAM (scanning acoustic microscopy) equipment is especially considered in this study The usefulness of the proposed method Is confirmed by experiments for a Newton ring with a continuous air gap between two glasses and a real semiconductor sample with local delaminations. The results show that the nonlinear parameter obtained tv the proposed method had a good correlation with the delamination.