• Journal of Korea Society of Industrial Information Systems
• /
• v.22 no.4
• /
• pp.117-129
• /
• 2017

The Purpose of this Study is to Identify the Learning Modules of the National Competency Standard (NCS) Related to the Information Systems Development Curriculum of 4-year Colleges, to Explore the Possibility of Applying NCS to the Curriculum, and to Examine Implications. The Importance of 26 Competency Units in the Applied SW Engineering of NCS was Compared by Area Experts Composed of 14 Information Systems Developers and Professors of 7 Universities who Teach Software Engineering Subjects Through the Hierarchical Analysis Process (AHP). The Results of the Study as Follows. First, the Relative Importance of the Competency Elements was in order of 'Confirming the Requirements', 'Checking the UI Requirements', 'Designing the Physical Data Repository', 'Testing Developer Integration', and 'Fixing Developer Defects'. Second, while the Entry and Intermediate Level Developer Group Determined that the Competency Elements Related to the IS Development Implementation Stage is more Important, the Advanced IS Developer Groups Consider the Competency Elements Related to the Theory-oriented Design Stage as Important Competency. In Addition, the Group of College Professors was Found to Choose all the Practical and Theoretical Competency Elements that Two Developers Groups Considered Important. Implications of the Study Suggested that the Job Performance Competence and Quality of Education Related to IS Development can be Enhanced.

• Journal of Korean Home Economics Education Association
• /
• v.32 no.1
• /
• pp.51-76
• /
• 2020

The purpose of this research was to develop the education program on traditional living culture for home economics(HE) based on the 2015 revised national curriculum. The existing school curriculum for traditional living culture tends to overly focus on the theories about traditional culture and suffer from absence of continuity in learning activities. It can be argued that HE is an ideal subject for dealing with traditional living culture as it aims to develop students' ability to recreate the traditional culture, meeting present needs and trends. This study, thus, attempted to present the practical ways of improving the quality of education on traditional living culture by developing HE education program for high school students. To fulfill the purpose, this research, as a teaching topic, selected the traditional patterns and the "Obangsaek"(Korean traditional five colors) which can commonly be dealt with in the subjects of traditional Korean food, Korean costume and Korean style house. In particular, the program was developed following the ADDE process. In the stage of analysis, this article analyzed the HE curriculum and making activities included in HE textbooks based on the 2015 revised national curriculum, as well as the needs of teachers and students regarding traditional living culture education. In the stage of design, this study developed the instructional model, selecting class topics, tools and materials. In the stage of development, the programs on traditional living culture including costume, food and house were developed. In the evaluation phase, this research conducted the validity test and received the feedbacks from 12 HE educators in order to complete the programs. This study finally suggested that future studies in this area examine the effect of the presented programs on enhancing the students' perception of traditional culture and the will of developing and succeeding the traditional living culture.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.21 no.6
• /
• pp.749-754
• /
• 2011

In this study, we propose the design of optimized pRBFNNs-based face recognition system using two-dimensional Image and ASM algorithm. usually the existing 2 dimensional face recognition methods have the effects of the scale change of the image, position variation or the backgrounds of an image. In this paper, the face region information obtained from the detected face region is used for the compensation of these defects. In this paper, we use a CCD camera to obtain a picture frame directly. By using histogram equalization method, we can partially enhance the distorted image influenced by natural as well as artificial illumination. AdaBoost algorithm is used for the detection of face image between face and non-face image area. We can butt up personal profile by extracting the both face contour and shape using ASM(Active Shape Model) and then reduce dimension of image data using PCA. The proposed pRBFNNs consists of three functional modules such as the condition part, the conclusion part, and the inference part. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of RBFNNs is represented as three kinds of polynomials such as constant, linear, and quadratic. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. The proposed pRBFNNs are applied to real-time face image database and then demonstrated from viewpoint of the output performance and recognition rate.

• Journal of The Korean Association For Science Education
• /
• v.38 no.6
• /
• pp.781-792
• /
• 2018

In modern society, as technology develops and industry diversifies, students can choose from a variety of career paths. Since science, technology, engineering, and mathematics require a longer education and experience than other fields, it is important to design science education policies based on the competencies required for science, technology, engineering, and mathematics (STEM) occupations. This study explores the definition of science and technology manpower and STEM occupations and identifies core competencies of STEM occupations using standard job information operated and maintained by the US Department of Labor ($O^*NET$). We specially analyzed ratings of the importance of skills (35 ratings), knowledge (33 ratings), and work activities (41 ratings) conducting descriptive analysis and principal component analysis (PCA). As a result, core competencies of STEM occupations consist of STEM problem-solving competency, Management competency, Technical competency, Social service competency, Teaching competency, Design competency, Bio-chemistry competency, and Public service competency, which accounts for 70% of the total variance. This study can be a reference for setting the curriculum and educational goals in secondary and college education by showing the diversity of science and technology occupations and the competencies required for STEM occupations.

• Journal of vocational education research
• /
• v.37 no.1
• /
• pp.139-156
• /
• 2018

This study analyzed the aspect of occupational contents shown in total 24 types of Technology & Home Economics (1). (2) textbooks for middle school in accordance with the 2009 revised curriculum. Analyzing the type of occupation shown in textbooks based on the Korean Standard Classification of Occupations(hierarchical classification), the frequency(ratio), and the aspect of occupational contents in each unit of textbooks and each data type, this study provided basic data to be able to understand diverse aspects of occupational contents. In the results of study, in case of Technology & Home Economics textbooks for middle school, the large area of 'home life' presented occupational contents in the relatively high ratio than the 'world of technology' while the frequency(ratio) of occupational contents was very much different in each publisher, large area, and unit. The occupation name presented in textbooks provided very limited information in the level of 5.27% of occupations presented in the Korea Dictionary of Occupations. Especially, providing occupational information concentrated in professionals & relevant practiceans in the type of the Korean Standard Classification of Occupations(hierarchical classification), it was limited to provide opportunities to learn the diversity related to occupation. Based on such results of study, on top of introducing diverse occupational contents to make students cherish all the occupations, it would be also necessary to seek for institutional measures related to textbook development/career education, so that they could explore career by considering their aptitude and interest.

• Convergence Security Journal
• /
• v.18 no.1
• /
• pp.43-60
• /
• 2018

Recently, with the arrival of the 4th industrial revolution, the security risks are converging and complexly changing, and the demand of cybersecurity experts is increasing. Therefore, in this paper, it is the largest of the domestic educational institutions, it has the largest number of emissions talent, and selects the representative major field of humanities and society. Then, after analyzing the common curriculum in each major field, compare it with the training course of cybersecurity experts derived through existing previous research. Through analysis results, we try to design a retraining course for cybersecurity professional human resources. Utilizing the results of this research, it is expected that it will be used as the basic material necessary for the subjects of the re-curriculum education. It is also expected to contribute to resolving the supply-demand gap of cybersecurity professionals.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.27 no.1
• /
• pp.13-21
• /
• 2021

The purpose of this study is to develop the ship valuation model by utilizing the neural network model. The target of the valuation was secondhand VLCC. The variables were set as major factors inducing changes in the value of ship through prior research, and the corresponding data were collected on a monthly basis from January 2000 to August 2020. To determine the stability of subsequent variables, a multi-collinearity test was carried out and finally the research structure was designed by selecting six independent variables and one dependent variable. Based on this structure, a total of nine simulation models were designed using linear regression, neural network regression, and random forest algorithm. In addition, the accuracy of the evaluation results are improved through comparative verification between each model. As a result of the evaluation, it was found that the most accurate when the neural network regression model, which consist of a hidden layer composed of two layers, was simulated through comparison with actual VLCC values. The possible implications of this study first, creative research in terms of applying neural network model to ship valuation; this deviates from the existing formalized evaluation techniques. Second, the objectivity of research results was enhanced from a dynamic perspective by analyzing and predicting the factors of changes in the shipping. market.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.1
• /
• pp.483-497
• /
• 2022

Recently, due to COVID-19, non-face-to-face online lectures are being held all over the world. In higher education in the post-corona era, distance learning has become the main teaching and learning method. At this time, Metaverse is being proposed as a new alternative. Metaverse has basic elements such as avatars, 3D space, and activities accompanied by interaction, which can be seen as a difference compared to existing VR (Virtual Reality) contents. This study designed and built an educational metaverse platform that can be applied to actual lectures by reflecting the three elements of the metaverse.In addition, we implemented a cross-device-platform that supports various devices such as HMDs, smartphones, tablets, and PCs by reflecting user requirements through usability tests such as middle school, high school, college students, and parents, so that anyone can easily participate in Metaverse lectures. Currently, the metaverse platform is being developed and serviced in various ways, but there are hardly any services designed for education. Just as services such as Zoom, the existing video conferencing solution, were used for non-face-to-face education, some functions of the currently serviced metaverse are utilized for education and used in the form of a one-time event. The educational metaverse platform developed through this study is expected to be a reference in constructing the metaverse for education in the future.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.27 no.7
• /
• pp.1124-1128
• /
• 2021

As regulations of emissions from ships become more stringent, electric propulsion systems have been increasingly used to solve this problem in vessels ranging from large merchant ships to small and medium-sized ships. Methods for improving the efficiency of the electric propulsion system include the improvement of power sources; the use of a system linked to environmentally friendly power sources, such as batteries, fuel cells, and solar power; and the development of hardware and control methodology for rectifiers, power conversion devices, and propulsion motors. The method using a phase-shifting transformer with diodes has been widely used for rectification. Power semiconductor devices with grid connection to an environmentally friendly power source using DC distribution, a variable speed power source, and the application of small and medium-sized electric propulsion systems have been developed. Accordingly, the demand for active front-end (AFE) rectifiers is increasing. In this study, a method using a neural network rather than a conventional proportional-integral controller was proposed to control the AFE rectifier. Tested controller data were used to design a neural network controller trained through MATLAB/Simulink. The neural network controller was applied to a rectification system designed using PSIM software. The results indicated the effectiveness of improving the waveform and power factor DC output stage according to the load variation. The proposed system can be applied as a rectification system for small and medium-sized environmentally friendly ships.

• Journal of the Korea Convergence Society
• /
• v.12 no.11
• /
• pp.185-191
• /
• 2021

The purpose of this study is to develop middle school English classes using Problem-Based Learning(PBL) based on flipped learning and to examine its effects. Recently, various attempts to combine flipped learning and PBL have been made; however, many studies have not been applied to middle and high school curriculums yet. The attempt of this study is expected to have theoretical and practical significance. The instructional model was derived from the review of previous studies, and the development of instructional program followed the general design procedure(analysis-design-development-implement-evaluation), and its validity was secured with the advice of related experts. To verify the effectiveness of the program, the English academic achievement test and the English key competency test were conducted before and after the program. Changes in English academic achievement were analyzed by the paired-sample t-test, and the effect of key competency and the level of achievement test performance (high vs, low) on the pre-post score change was analyzed by the mixed effects repeated measures ANOVA. As a result of the analysis, both academic achievement and key competencies increased, and the low-level students in the pre-academic achievement test showed more improvements. In conclusion, the PBL class based on flipped learning is effective in improving the English academic achievement and key competencies of middle school students, and in particular, it is shown to be an effective teaching method for students with low academic achievement.