• Journal of IKEEE
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• v.23 no.4
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• pp.1400-1407
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• 2019

In this paper, we propose a support vector machine (SVM) based gas classifier that can support real-time self-learning. The modified sequential minimal optimization (MSMO) algorithm is employed to train the proposed SVM. By using a shared structure for learning and classification, the proposed SVM reduced the hardware area by 35% compared to the existing architecture. Our system was implemented with 3,337 CLB (configurable logic block) LUTs (look-up table) with Xilinx Zynq UltraScale+ FPGA (field programmable gate array) and verified that it can operate at the clock frequency of 108MHz.

• The Journal of Korean Association of Computer Education
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• v.21 no.2
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• pp.59-71
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• 2018

The purpose of this study is suggesting the direction for improving web accessibility by analyzing the state of abiding by the web accessibility by the centers for teaching and learning support at the education offices in cities and provinces which provide the learning and teaching materials to the K-12 members and the interested people. For this aim, nine centers for teaching and learning support were evaluated. The primary manual evaluation by two experts and the evaluation by 18 users were conducted. The users were comprised of hearing-impaired people, visually-impaired people, brain-disabled people, the elderly, various browser users, and a variety of operating system users. As a result of the analysis, not a single center for teaching and learning support had conformed to web accessibility in the expert evaluation and the user evaluation. As a result of the expert evaluation, the errors regarding web design improvement, HTML source error correction, and provision of alternative measures for the disabled were found. This study is meaningful in the sense that it provided various discussions with regard to the direction of the future web accessibility evaluation based on the improved web accessibility evaluation method.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.350-358
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• 2021

The purpose of this study is to analyze the status of rights for online learning of students with developmental disabilities in the COVID-19 situation and suggest plans to promote the rights focusing on parents with children with disabilities. This research conducted the mixed method, which utilizes the survey of 200 parents with children in chungbuk, who have developmental disabilities, and FGI of six parents. The survey analysis shows that 50.5% of the respondents could not support their children due to telecommuting. The most urgent support system for learning assistance was identified as support for assistive personnel. As a result of the analysis of FGI, two categories of "status of online classes in the COVID-19," "improving non-contact learning environment considering the nurturing environment," "diversifying teaching methods such as video classes," "introducing of a contextual assessment," and "enhancing health support." Based on these findings, the study proposed to review legal grounds for online classes for disabled students, expand the dispatch of learning support personnel and prepare plans to promote the online learning environment.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.11 no.3
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• pp.292-298
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• 2004

Purpose: this study was to describe patient learning needs and the relationship between health promoting behavior and health concept with women with disabilities. Methods: A descriptive survey design was used and the SPSS 11.0 program was used for data analysis, which included t-test, ANOVA and Pearson correlation coefficients. The women (n=50) were in-patients in a rehabilitation center. Results: The study results indicate that they had high levels of patient learning needs and the most important information for patient learning needs was support and care. Patient learning need was correlated with health promoting behavior. Conclusions: The findings of this study give useful information to construct further studies in educational programs and rehabilitation nursing care and to support a healthcare system for women with disabilities.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.121-122
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• 2020

Universities that offer architectural engineering programs in Korea are making efforts to introduce innovation teaching methods to cultivate teamwork, creativity, flexibility of thought and practical skills needed for the Fourth Industrial Revolution. However, there is a lack of specific measures to support them. In this regard, this study investigated a method of application development for building construction courses applied with the innovation teaching methods. It mainly focused on 'improvement directions for existing learning management systems' and 'online learning support plans using the innovation teaching method' as research contents. It is expected that these improvement directions can be applied to the field of education through the development of mobile and web-based applications. In the follow-up research, the development of specific software for field application will be carried out.

• Journal of Sensor Science and Technology
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• v.33 no.3
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• pp.119-124
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• 2024

Effective fire sensing is important to protect lives and property from the disaster. In this paper, we present an intelligent visual sensing method for detecting fires based on machine learning techniques. The proposed method involves a two-step process. In the first step, fire and non-fire images are used to train a convolutional neural network (CNN), and in the next step, feature vectors consisting of 256 values obtained from the CNN are used for the learning of a support vector machine (SVM). Linear and nonlinear SVMs with different parameters are intensively tested. We found that the proposed hybrid method using an SVM with a linear kernel effectively increased the recall rate of fire image detection without compromising detection accuracy when an imbalanced dataset was used for learning. This is a major contribution of this study because recall is important, particularly in the sensing of disaster situations such as fires. In our experiments, the proposed system exhibited an accuracy of 96.9% and a recall rate of 92.9% for test image data.

• 대한공업교육학회지
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• v.37 no.1
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• pp.183-204
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• 2012

This study was to analysis perception about Teaching & Learning Support System of the school of Rural Areas in Korea. In order to accomplish the study purpose, the study conducted a research through Web Survey method and examined their recognition. Major findings of this study were as follows: First, Student was satisfied with TLSS of the school of Rural Areas in Korea. Students would like to 'using e-learning with Electronic board and Tablet PC' among program contents. But the system' utilization was low. However, 90% of the students wanted that teacher usually using the FASTEL. Second, Teacher satisfaction was lower compared to the students is relatively. Teachers prefer 'various after school program' to 'using e-learning with Electronic board and Tablet PC'. However, learning effective of using FASTEL system was a 73.8% of teachers are effective is aware and had. Third, 35% Students recognized that are using the pastel system, frequently, On the other hand, the teachers are 60% and to recognize that there was. The reason doesn't the system to good use is slow wireless. Still, e-learning classroom infrastructure for satisfaction was high. Fourth, Teachers recognized students and the pastel system interaction than other e-learning system high. FASTEL System used in the most uncomfortable things on e-learning classroom Wireless Internet phenomena and lost content lacking, in order, I was told. Therefore, there is an urgent need to improve to include Wireless Internet speed improvements and various content added support, easy-to-use instructional tools Add support order selected.

• Journal of Digital Convergence
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• v.2 no.1
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• pp.43-56
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• 2004

The emergence of distance learning through Information and Communication Technologies(ICT) requires a lot of abilities from learners, and these become main features to a successful learning. Accordingly, a self-regulated learning is one of the key abilities required by the learners, Hence this study is aimed to develop Web-Based Instruction(WBI) systems that support this self-regulated learning. The self-regulated learning not only provides significant positive learning effects, but also appropriates to apply on the WBI because it has learning-structure of specified instruction process and each process requires separated spaces. Therefore, in this study, a model of self-regulated learning system on the web is developed.

• Journal of The Korean Association of Information Education
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• v.12 no.1
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• pp.9-22
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• 2008

The purpose of this research is to develop a prototype of the support system in order for team building associated with web-based project learning having applied Kolb's learning style. To accomplish this purpose, the following research tasks were performed. First, core idea in order to embody the system's value, key activities, tools that will support pertinent activities and the strategy so as to develop guidelines, etc. were devised and prepared. Second, a system was designed on the basis of structural model of teaching design, then after, interface was developed. The core factors in this system are inspection of learning style, organizing a team and team building. Above all, it is required to make learners know about learning environments, of which they are in favor, and also its distinctive features through inspection of learning style, and then focusing on learning style, a team should be organized insomuch as to accommodate a variety of learning styles as much as possible. For the purpose of team building, after learning style of each constituent member of the team has been made known, then the roles will be divided among the constituent members of the team so as to suit their individual characteristics referring to each of their learning styles that have been exposed. To verify the value of this system developed and efficiency thereof, a focus group interview was conducted. The focus group consisted of professionals, all from related fields. After the interview, the points required to make further improvements were elicited and taken care of by follow-up actions as needed. And having reflected such improvements made, the final system was developed. With this newly developed system, learners can get the results of inspection of learning style so quickly by performing inspection any time any where, and based on the results from such inspection, a team comprising dissimilar constituents who exhibit a variety of different propensities will be automatically organized. Thus, this system may be used not only for web-based project learning having unspecified persons elected as constituents, but in the offline space also.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1413-1415
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• 2004

This paper proposes a SVM(Support Vector Machine) training algorithm to control a service robot with voice command. The service robot with a stereo vision system and dual manipulators of four degrees of freedom implements a User-Dependent Voice Control System. The training of SVM algorithm that is one of the statistical learning theories leads to a QP(quadratic programming) problem. In this paper, we present an efficient SVM speech recognition scheme especially based on less learning data comparing with conventional approaches. SVM discriminator decides rejection or acceptance of user's extracted voice features by the MFCC(Mel Frequency Cepstrum Coefficient). Among several SVM kernels, the exponential RBF function gives the best classification and the accurate user recognition. The numerical simulation and the experiment verified the usefulness of the proposed algorithm.