• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.842-846
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• 1993

Because of complexity, neural network is difficult to learn. So if internal representation[1] can be performed successfully, it is possible to use perceptron learning rule. As a result, learning is easier. Therefore the method of internal representations applied to the "XOR" problem, and the "spirals" problem. And then using the above results, the structure of neural network for computing is embodied.mputing is embodied.

• Journal of Digital Contents Society
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• v.7 no.2
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• pp.125-131
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• 2006

In the recent year, the need for effective searching for e-learning contents has emerged as a revitalization of e-learning. Therefore, there are many studies for the contents searching method that make use of semantic web technology. Also, there are many studies to apply the ontology as the core technology of sematic web to e-learning. In this study, we bind the KEM(Korea Education Metadata) that enacted as the first technical standard of e-learning, KS X7001, in Dec. 2004 with OWL to use the metadata for a effective searching with ontology through the solving of the problem of metadata. And, we discuss some problems that occur in progress of binding and the solutions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1818-1832
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• 2022

Violence in the Internet era poses a new challenge to the current counter-riot work, and according to research and analysis, most of the violent incidents occurring are related to the dissemination of violence images. The use of the popular deep learning neural network to automatically analyze the massive amount of images on the Internet has become one of the important tools in the current counter-violence work. This paper focuses on the use of transfer learning techniques and the introduction of an attention mechanism to the residual network (ResNet) model for the classification and identification of violence images. Firstly, the feature elements of the violence images are identified and a targeted dataset is constructed; secondly, due to the small number of positive samples of violence images, pre-training and attention mechanisms are introduced to suggest improvements to the traditional residual network; finally, the improved model is trained and tested on the constructed dedicated dataset. The research results show that the improved network model can quickly and accurately identify violence images with an average accuracy rate of 92.20%, thus effectively reducing the cost of manual identification and providing decision support for combating rebel organization activities.

• Korean Journal of Childcare and Education
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• v.10 no.1
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• pp.5-26
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• 2014

This study examined the effects of web-based learning experiences, learning style, and Internet self-efficacy that influence beginning child care teachers belief about web-based learning. The participants were 215 beginning child care teachers who work in child care centers. Data were analyzed by means of frequency analysis, correlation, and multiple regression for SPSS windows. The results were as follows: First, significant statistical differences were detected in web-based learning experiences and beliefs about web-based learning. Online teacher learning community use and frequency were significant gaps in beliefs about web-based learning. Second, there were statistical differences in learning styles and beliefs about web-based learning. And teachers with assimilator learning style showed high difficulty beliefs about web-based learning. Third, teachers' belief about web-based learning was significantly related to Internet self-efficacy. It means that teachers that have high Internet self-efficacy show high belief about web-based learning. Forth, among the teachers' personal variables, a higher level of online teacher learning community use and Internet self-efficacy predicted higher beliefs about web-based learning. Thus, this study suggested the importance of web-based learning experiences and Internet self-efficacy to beliefs about web-based learning. And it implicated ways to improve positive beliefs about web-based learning of beginning child care teachers.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.119-124
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• 2011

The purpose of the paper was to develop an observation measure for analyzing the teaching and learning activities in ubiquitous-based learning. To develop the measure, we reviewed the literature related to the measure and identified the valid observation domain and indicators. In the procedure, we did a pilot study for validating the measure and its indicators, and in the end, finalized it. The observation measure consists of: types of instruction, teaching and learning strategies, learning activities, use of technology, evaluation process, and wrap-up. In addition, we added the qualitative domain, which needs for monitoring and writing more specific teaching and learning activities in ubiquitous-based learning.

• Asian Journal of Business Environment
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• v.7 no.4
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• pp.17-25
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• 2017

Purpose - The purpose of this study is to present a framework for determining the most appropriate business model for e-learning. Research design, data, and methodology - The Electronics Branch of Azad University has been elected as a case study in this research. This study conducted using a descriptive method. The information was obtained using interviews with experts including managers, faculty and students at the Electronics Branch of Azad University. Results - Three service-product system (product oriented system, use an oriented and result oriented system) approaches determined a framework for the formation of a portfolio. This portfolio is including three types of e-learning business models. Examining the relevant characteristics, correspondence of behaviorism learning theory with a product-oriented approach, correspondence of cognitivism theory with a user-oriented approach and in finally match correspondence of constructivist learning theory with a results-oriented approach which is evident. Conclusions - After reviewing the literature on the fields of e-learning, business model and product - service systems, we have achieved three types of e-learning business models. Then the variables in any of the business models were defined by using business model canvas tool and thus a portfolio consisting of three types of e-learning business model canvas was obtained.

• Journal of Internet Computing and Services
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• v.9 no.6
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• pp.141-153
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• 2008

E-learning is a new paradigm of education using Internet media. E-learning is rapidly expanding, since it is not restricted by time and space. However, due to the lack of standardization in e-learning, learning contents are developed redundantly. SCORM has been proposed to address this standardization problems. The mere learning contents are shared, the higher the reusability of contents becomes. Therefore, it is needed to develop methods or tools to help educators or content producers to create a learning course easily. In this paper, we propose an association method that could help educators or content producers to efficiently generate learning courses for a subject. The association method, a learning course generation method suggested by this paper, makes use of existing learning courses and learning contents to create new learning courses suitable to a subject. The association method analyzes statistical information of leaning objects derived from existing learning courses and measures coherence between learning objects to create a learning course. The association method suggested by this paper not only supports educators or content producers for easy generation of learning course but also offers a guideline for developing learning courses.

• Journal of the Semiconductor & Display Technology
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• v.22 no.2
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• pp.24-29
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• 2023

In this paper, we propose a real-time bus arrival notification system using deep learning to guarantee movement rights for the visually impaired. In modern society, by using location information of public transportation, users can quickly obtain information about public transportation and use public transportation easily. However, since the existing public transportation information system is a visual system, the visually impaired cannot use it. In Korea, various laws have been amended since the 'Act on the Promotion of Transportation for the Vulnerable' was enacted in June 2012 as the Act on the Movement Rights of the Blind, but the visually impaired are experiencing inconvenience in using public transportation. In particular, from the standpoint of the visually impaired, it is impossible to determine whether the bus is coming soon, is coming now, or has already arrived with the current system. In this paper, we use deep learning technology to learn bus numbers and identify upcoming bus numbers. Finally, we propose a method to notify the visually impaired by voice that the bus is coming by using TTS technology.

• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.39-59
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• 2024

An online social network is a platform that is continuously expanding, which enables groups of people to share their views and communicate with one another using the Internet. The social relations among members of the public are significantly improved because of this gesture. Despite these advantages and opportunities, criminals are continuing to broaden their attempts to exploit people by making use of techniques and approaches designed to undermine and exploit their victims for criminal activities. The field of digital forensics, on the other hand, has made significant progress in reducing the impact of this risk. Even though most of these digital forensic investigation techniques are carried out manually, most of these methods are not usually appropriate for use with online social networks due to their complexity, growth in data volumes, and technical issues that are present in these environments. In both civil and criminal cases, including sexual harassment, intellectual property theft, cyberstalking, online terrorism, and cyberbullying, forensic investigations on social media platforms have become more crucial. This study explores the use of machine learning techniques for addressing criminal incidents on social media platforms, particularly during forensic investigations. In addition, it outlines some of the difficulties encountered by forensic investigators while investigating crimes on social networking sites.

• The Journal of Korean Association of Computer Education
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• v.15 no.6
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• pp.53-64
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• 2012

This study was to compare and analyze actual conditions and awareness of high school students' mobile learning. Survey was used as a research method and percentile, t-test and F-test were conducted for the statistical analyses. Results revealed that in the case of actual conditions on mobile device and mobile learning, slight differences were shown in various sub-variables, depending on independent variables (gender, grade, track); year 2010 can be the most important year for the mobile learning; high school students seldom utilize mobile learning in a small piece of time; mobile learning using Apps was not widespread yet. In the case of awareness of mobile learning, statistically significant differences were found in the use capacity of mobile devices, the increase of learning performance, and the continual interests of mobile devices.