• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.906-909
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• 2007

The method of distributing some questionnaires to the total 4 schools in the area of Gwang-ju city and then collect them later has been used in this study. By using the coefficient of Cronbach's alpha for the collected data, the trust rate of the method of questionnaires have been verified. In conclusion it's been analized that there are disparities in 'computer education course, professor lesson, possibility of computer use, teaching obstacles, self development of teachers, choice and organization of the computer education contents' according to the general situation of the teachers who charge computer education sand there are also disparities in 'goal of computer education, computer curriculum related learning activity, computer curriculum related learning satisfaction, practical use of computer facility, interested contents of students, other lessons besides regular education course' according to the general situation of the students who receive computer education in commercial high school.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.7
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• pp.378-388
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• 2000

In this paper, we propose Fuzzy Polynomial Neural Networks(FPNN) based on Polynomial Neural Networks(PNN) and Fuzzy Neural Networks(FNN) for model identification of complex and nonlinear systems. The proposed FPNN is generated from the mutually combined structure of both FNN and PNN. The one and the other are considered as the premise part and consequence part of FPNN structure respectively. As the consequence part of FPNN, PNN is based on Group Method of Data Handling(GMDH) method and its structure is similar to Neural Networks. But the structure of PNN is not fixed like in conventional Neural Networks and self-organizing networks that can be generated. FPNN is available effectively for multi-input variables and high-order polynomial according to the combination of FNN with PNN. Accordingly it is possible to consider the nonlinearity characteristics of process and to get better output performance with superb predictive ability. As the premise part of FPNN, FNN uses both the simplified fuzzy inference as fuzzy inference method and error back-propagation algorithm as learning rule. The parameters such as parameters of membership functions, learning rates and momentum coefficients are adjusted using genetic algorithms. And we use two kinds of FNN structure according to the division method of fuzzy space of input variables. One is basic FNN structure and uses fuzzy input space divided by each separated input variable, the other is modified FNN structure and uses fuzzy input space divided by mutually combined input variables. In order to evaluate the performance of proposed models, we use the nonlinear function and traffic route choice process. The results show that the proposed FPNN can produce the model with higher accuracy and more robustness than any other method presented previously. And also performance index related to the approximation and prediction capabilities of model is evaluated and discussed.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.1
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• pp.160-169
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• 2015

The purpose of this study was to search and analyze the realities and needs of life long education, the necessity and perception of life competencies and the difference of competencies on experiences of education to support life long education system for adult learners in Busan and Ulsan. In this study, we conducted a questionnaire survey of 234 adult learners living in Busan and Ulsan. The results of this study were summarized as follows. First, adult learners perceived that life long education was very important to adults and appreciated an educational institution being managed by government. Second, adult learners thought that basic literacy competency and basic work competency were important and late fifties perceived that professional job is in important. Third, adult learners perceived that self directed learning and capacity of management are poor competencies. And they perceived that the government support adult learners who has economical difficulty. Forth, adult learners perceived that it was normal that 'professional job' and 'job transition abilities', 'women', 'the middle aged and old','the unemployed' and' low incomers' perceived that they have poor level. Fifth, according to the results of ${\chi}^2$ test for determining the statistical significance of differences in experience in lifelong learning among adult learner groups divided by their individual background, significant differences were observed in a few competencies(p<.05, p<.01).

• Industry Promotion Research
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• v.3 no.2
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• pp.87-94
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• 2018

This study suggests that lifelong education is regarded as a support system for lifelong learning, which includes all activities of educational characteristics, which ultimately has the goal of universalization of self - education. The goal is to successfully adapt to life. Statements supporting the need for lifelong learning have been found to be based primarily on the impossibility of this system to provide sufficient education to accelerate social change and to last a lifetime. The obstacles to implementation included inertia, resistance to change, motivation and cost. Opponents are likely to regard lifelong education as an attempt to expand compulsory education for exploitation and control purposes. This study found that there is an important consensus among supporters, but many questions remain. The full feasibility of lifelong education is considered to be far removed, and lifelong education should be interpreted as a source of direction and purpose, and ideals that society should aim for.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.5
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• pp.173-187
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• 2018

This paper proposes a computer vision and deep learning-based technique for surveillance camera system for vehicle counting as one part of parking lot management system. We applied the You Only Look Once version 2 (YOLOv2) detector and come up with a deep convolutional neural network (CNN) based on YOLOv2 with a different architecture and two models. The effectiveness of the proposed architecture is illustrated using a publicly available Udacity's self-driving-car datasets. After training and testing, our proposed architecture with new models is able to obtain 64.30% mean average precision which is a better performance compare to the original architecture (YOLOv2) that achieved only 47.89% mean average precision on the detection of car, truck, and pedestrian.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.89-97
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• 2017

The purpose of the present study was to estimate the effect of adolescents' depression on cell phone dependency and to identify mediating effects of parenting style and peer isolation. The study used data from the $6^{th}$ waves of 2015 KCYPS(Korean Children and Youth Panel Survey). Structural Equation Model(SEM) was conducted to examine the mediating effects of parenting style and peer isolation. The results showed that adolescents' depression had positive effects on cell phone dependency. In addition, the relationship between adolescents' depression and cell phone dependency was partially mediated by parenting style, not mediated by peer relationships. Based on these findings, further suggestions are provided to reduce adolescents' cell phone dependency by decreasing parent's over-involvement and improve adolescents' self control opportunities.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.628-641
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• 2012

This research investigates a dynamic mechanism underlying the co-evolution between network and space by applying hype-curve model, typical phenomenon which shows how new technologies and ideas initially adapted in the society. This study analysis the knowledge intensive industry of digital contents using social network analysis (SNA) in terms of structural, spatial, and temporal aspects, year of 2000, 2005, and 2010 focused on Seoul area. First of all, network and space establish 'inter-feedback' as a result of evolution and differentiation process. Second, it happen temporal 'delay' through the learning process stage of 'peak of inflated expectation' and 'trough of disillusionment.' As a result, Seoul develops with the technology commercialized-orient strategy affect government policy. This trend changes to technology-oriented development in Seoul area in the late of 2000 established 'self-organization' with geographical proximity organizations through learning process.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.167-172
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• 2017

The purpose of this study is to analyze the emotional codes of Sijo, which has been acknowledged to have excellent therapeutic function, to activate the contents of the therapy of humanities. Sijo as a function of healing forms emotional codes of therapy, which is the total of emotions, through the fusion of emotions formed during the process of appreciation of various works. This process enables the literary therapeutic activities to proceed physiologically in the human body. Just as machine learning is self-learning by cognitive functions, the coding process for encoding and re-encoding at all times operates on collections of numerous neurons in the human system. In such a process, it is predicted that amino acids are synthesized in the human body by collective encoding of emotion codes. These amino acids regulate the signaling system of the human body. In the future, if the study on the healing process as such at the contact point of humanities and human physiology proceeds, it is expected that a program of higher quality humanistic therapy will be activated.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.41-46
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• 2020

The start of the Fourth Industrial Revolution has brought about various changes in the domestic industry in general, and smart factories have spread to companies in the fields of production, manufacturing and logistics, and they are using automation equipment. Especially in the field of logistics automation, AGVs are widely used, and most of them use the line guidance system, which is the traditional AGV drive system. In addition, the demand for AGV system developers, system operators and managers, and maintenance personnel is increasing, and the installation of systems for education is expensive and requires a large space to utilize. It is a situation where systematic education is difficult. In this paper, we propose a virtual simulation-based AGV distance education model for smooth practice of trainees. The proposed model consisted of a model that can drive the AGV by analyzing video information, instead of the line guidance method that is the conventional technology. As a result of self-diagnosis evaluation, it was confirmed that the experimental group through online education had an average satisfaction level of 0.65 higher than the control group using existing equipment, and that it could be used in an online education environment.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.97-102
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• 2008

In this paper, we propose an educational content which can be applied to the web interactivity. Rapidly growing digital media has been applied to various fields and made people experience multiple media. The development of digital media also influenced education. As a result, the environment of computer-based education was produced based on CD-ROM titles, video, and the web. Active communication with students is impossible using traditional educational methods. However, the students' motive for learning can be enhanced through the digital media. In this paper, we apply concrete poetry which is simple, brief, and focused on visualization to the web environment. It has made people easily and interactively access the web to learn better through participation. We also applied concrete poetry to the web based educational games for self-motivated learning.