• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.309-316
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• 2024

Due to rapid socio-economic development and environmental changes, particularly autism spectrum disorder (ASD) in the context of Attention Deficit Hyperactivity Disorder (ADHD) and high-functioning autism, has become a significant social issue. This issue is increasingly recognized from a societal perspective rather than just an individual or family problem. But there remains a lack of information in frontline education. Traditionally, treatment for ASD has been conducted in specialized institutions, or by professional doctors, therapists, and counselors. There are still several challenges such as 1) accessibility to hospitals and transportation for children with ASD, 2) the maturity and competence of therapists, and 3) the lack of appropriate educational content. To solve these problems, we propose a supplementary 3D educational game process for children with high-functioning autism that utilize speech recognition technology and games designed for continuous and repetitive learning. Our proposed game content can be used at home, which incorporates Speech-To-Text (STT) technology and mini-games to help children indirectly experience and learn to handle unexpected real-life situations. With this approach, we will expect that the children can develop social skills and enhance the efficiency of their treatment.

• Convergence Security Journal
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• v.14 no.7
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• pp.9-15
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• 2014

In this paper, we proposed a new LDP code to solve a previous LDP code's problem and can include a face-color information. To include the face-color information, we developed various methods reducing the existing LDP code and analyzed the results. A new LDP code is represented by 6-bits different from the previous LDP code To adapt to a noise and environmental changes effectively and include 2-bits face-color information. The result shows better recognition rates of face and facial-expression than the existing methods effectively.

• Hwankyungkyoyuk
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• v.20 no.1
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• pp.90-105
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• 2007

The purpose of this study is to find the influence of environmental issue analysis instruction on the environmental decision making ability for grade 5 elementary school students. The study was done through pre and post testing control group structure. The object of this study is grade 5 of I elementary school students which were divided into 35 student test group and 54 student control group. Through studying references, the selection standard of appropriate environment issue and the environmental issue analysis instructing objective. Conducted the environment issue instructing based on the selected environment issue and instructing objective. The classes were held in total of 6 sessions in the chapters related to class objective and class content within the curriculum. The pre and post testing was done using environment decision making ability test sheet which was reconstructed by myself and the results were analyzed by t-test. As a result of comparing pre and post testing the students in test group showed significant results in the processes of problem recognition, evaluation of alternatives, behave planing (p<.001). As a result of comparing the differences of environment decision making ability of pre and post test of test group and control group, it showed significant results in the process of evaluation of alternatives(p<.00l). The environment issue analysis class has positive influence on the environment decision making abilities of the students but since the outcome of environment decision making ability is lower, there is a need for long term environment education plan and further studies to find whether the environment issues within the textbook is appropriate in the elementary student level, useful school aspect and the influence of environment issue analysis class on the change of values for individuals.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.1
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• pp.1-14
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• 2017

The purpose of this study is to classify the environmental awareness attitudes of university students and analyze their differences in social support pursuit, and apparel consumption behavior. Questionnaires were administered to 236 college students living in Daegu City and Kyoungbuk province. Frequency, factor analysis, reliability analysis, cluster analysis, ANOVA, Duncan-test, and t-test were used for data analysis. The findings were as follows. The environmental awareness attitudes had factors as recognizing the importance of environmental issues, purchase of eco-friendly products, public opinion legislation awareness, interests on eco-friendly product, and eco-friendly practice. Social support pursuit were found as marginal people support pursuit, emotional support pursuit, informational support pursuit, and problem-solving support pursuit. Apparel consumption behavior were found as planned purchase, social participation attitude, clothes recycling, life practice, low-price orientation, emphasis on designs, clothing-life practice, and consciousness over others. The environmental awareness attitudes of university students were classified into four groups of Consumers of Environment-Awareness, Consumers of Environment-interests, Consumers of Environment-practice, and Consumers of Low Environment-awareness. The groups showed significant difference in social support pursuit, and apparel consumption behavior. Gender of university students showed significant differences the environmental awareness attitudes, social support pursuit, and apparel consumption behavior. It is meaningful to find out the significant relationship in a social context between environment recognition and social support pursuit related by friends. This study also offered a basic information related to social support pursuit by the types of university students' environmental awareness attitude and consumption on clothing, which is necessary for environmental education and green consuming behavior.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.407-416
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• 2022

Although environmental education has been more important due to global extreme weather and natural desasters, environmental topics are covered by several other subjects because it is not an independent subject in elementary school and they need to distribute more class hours to cover proper amount of environmental content. This study is performed to develop method to integrate environmental education and software education in elementary school. This method helps students to learn topics about recycling by using Artificial Intelligence programming and Artificial Intelligence also helps students to practice recycling in virtual reality. A new teaching and learning module(Problem Recognition→Machine Learning↔Use of AI→Collaboration) is adopted for the learning procedure and more than 80 % of the students replied positively to the survey about the interest on integrated learning, understanding of environmental education, understanding of Artificial Intelligence, further learning on Artificial Intelligence programming.

• Journal of the Korea Concrete Institute
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• v.17 no.3 s.87
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• pp.369-374
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• 2005

This study proposes a technique for the recognition of crack patterns, which includes horizontal, vertical, diagonal($-45^{\circ}$), diagonal($+45^{\circ}$), and random cracks, based on image processing technique and artificial neural network. A MATLAB code was developed for the proposed image processing algorithm and artificial neural network. Features were determined using total projection technique, and the structure(no. of layers and hidden neurons) and weight of artificial neural network were determined by learning from artificial crack images. In this process, we adopted Bayesian regularization technique as a generalization method to eliminate overfitting Problem. Numerical tests were performed on thirty-eight crack images to examine validity of the algorithm. Within the limited tests in the present study, the proposed algorithm was revealed as accurately recognizing the crack patterns when compared to those classified by a human expert.

• Journal of the Korea Organic Resources Recycling Association
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• v.30 no.4
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• pp.85-99
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• 2022

Recently, environmental issues have become serious, and Jeju Island is promoting a pilot project of a smart collection system(waste weight-based collection system) at clean houses in Yongdam 1-dong. However, the new system faced an opposition from elderly residents who were not accustomed to using machines or smart devices. In order to solve this problem, it was intended to suggest policies related to this by conducting environmental education and identifying problems with the effect of environmental education awareness through data analysis method. The results showed positive answers in most of the satisfaction and achievement evaluations, but it is also true that most of the residents need to be educated and more information should be given. In order to vitalize education, it is important to increase the number of instructors and support them to increase their expertise. It is also important to take a practical process that strengthens public relations, shares information, and links with the local community to increase the actual participation of local residents. In addition, it is critical to secure a budget from local governments to maintain education and public awareness, and it will be helpful to link with talent donation projects in the region.

• Proceedings of the Korea Concrete Institute Conference
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• 2002.05a
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• pp.545-550
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• 2002

Concrete is one of the essential structural materials in the construction. But, concrete consists of many materials and is affected by many factors such as properties of materials, site environmental situations, and skill of constructor. Therefore, concrete mixes depend on experiences of experts. However, it is more and more difficult to determine concrete mixes design by empirical means because more ingredients like mineral and chemical admixtures are included. Artificial Neural Networks(ANN) are a mimic models of human brain to solve a complex nonlinear problem. They are powerful pattern recognizers and classifiers, also their computing abilities have been proven in the fields of prediction, estimation and pattern recognition. Here, among them, the back propagation network and radial basis function network are used. Compositions of high-performance concrete mixes are eight components(water, cement, fine aggregate, coarse aggregate, fly ash, silica fume, superplasticizer and air-entrainer). Compressive strength and slump are measured. The results show that neural networks are proper tools to minimize the uncertainties of the design of concrete mixtures.

• Proceedings of the KSR Conference
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• 2003.10a
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• pp.156-161
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• 2003

Korean High Speed Train (KHST) has been tested on high speed line in JungBu site since it was developed in 2002. The data acquisition system was used to test successfully the on-line test for proving the dynamic performance of KHST. The recognition of system vibration mode for railway vehicle is essential to understand the characteristics of design for dynamic system and diagnose the dynamic problems of vehicle system during test and operation. But, up to now, there are the efforts to know the system vibration mode within limit of theoretical field only, not experimental approach with systematic method. The theoretical results are too reliable to apply to real design problem, because it is theoretically based on the homogeneous linear system although the real system have the nonlinear characteristics and vary the environmental conditions. Therefor, in this paper, it is proposed the efficient method of vibration analysis for rail vehicle system and this method apply to KHST to recognize the vibration mode characteristics of it. The results show that this method is able to make the system vibration modes for KHST clear.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.43 no.4 s.310
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• pp.60-66
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• 2006

Underwater ultrasonic communication is critical to explore and development ocean using instrument. Essential to these applications is the reliable teleoperation and telemetering of the unit. But the problem is that the controllability of the instrument and the reliability of submarine communication are decreased, as so various passive noises are generated. In the existing methods, the control informations, received from an observation instrument, are identified used by hardware and repeatedly compared with standard information. However, such a method weakens the efficiency in controllability-centered systems. This study presents an ultrasonic signal detection algorithm that can identify the ultrasonic signal without the influence of disturbances due to underwater environmental changes. Likewise, the logicality of detection algorithm were ascertained by simulation.