• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.1-9
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• 2021

Children's drawings are widely used in the diagnosis of children's psychology as a means of expressing inner feelings. This paper proposes a children's drawings-based object detection algorithm applicable to children's psychology analysis. First, the sketch area from the picture was extracted and the data labeling process was also performed. Then, we trained and evaluated a Faster R-CNN based object detection model using the labeled datasets. Based on the detection results, information about the drawing's area, position, or color histogram is calculated to analyze primitive information about the drawings quickly and easily. The results of this paper show that Artificial Intelligence-based object detection algorithms were helpful in terms of psychological analysis using children's drawings.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.71-77
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• 2021

Recently, there is a demand for efficient program development of an IoT application support frameworks considering heterogeneous hardware characteristics. In addition, the scope of hardware support is expanding with the development of neuromorphic architecture that mimics the human brain to learn on their own and enables autonomous computing. However, most existing IoT IDE(Integrated Development Environment), it is difficult to support AI(Artificial Intelligence) or to support services combined with various hardware such as neuromorphic architectures. In this paper, we design an AI component abstract model that supports the second-generation ANN(Artificial Neural Network) and the third-generation SNN(Spiking Neural Network), and implemented an autonomous IoT IDE based on the proposed model. IoT developers can automatically create AI components through the proposed technique without knowledge of AI and SNN. The proposed technique is flexible in code conversion according to runtime, so development productivity is high. Through experimentation of the proposed method, it was confirmed that the conversion delay time due to the VCL(Virtual Component Layer) may occur, but the difference is not significant.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.135-140
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• 2021

In this paper, we propose an on-line mechanism that simultaneously detects cracks and profiling pavement blocks to detect the displacement of ground surface adjacent to the excavation in the urban area. The proposed method utilizes a 2D laser to profile the information about pavement blocks including the depth and distance among them. In particular, it is designed to enable the detection of cracks and portholes at runtime. For the experiment, real data was collected through Gocator, and trainng was carried out using Faster R-CNN. The performance evaluation shows that our detection precision and recall are more than 90% and the pavement blocks are profiled at the same time. Our proposed mechanism can be used for monitoring management to quantitatively detect the level of excavation risk before a large-scale ground collapse occurs.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.151-158
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• 2021

The purpose of this paper is to examine the concept of computational thinking in an easy-to-understand way for non-computer majors. First, It is necessary to expand from the problem-solving perspective to the perspective of problem discovery and creation ability, and establish it as a thinking ability that can cultivate human-like thinking, that is, creative thinking. Second, the concept of computational thinking can be viewed not only in the cognitive aspect but also in the emotional motive and attitude aspect. Third, systematic design of teaching methods is needed based on the expansion of the concept to computational thinking that helps learners to improve their reflective ability. It is expected that the results of this study will serve as basic research for various attempts in terms of the purpose and teaching method of computational thinking education in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.859-866
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• 2021

Agricultural Photovoltaic power generation is a new model that installs solar power generation facilities on top of farmland. Through this, it is possible to increase farm household income by producing crops and electricity at the same time. Recently, various attempts have been made to utilize agricultural solar power generation. Agricultural photovoltaic power generation has a disadvantage in that maintenance is relatively difficult because it is installed on a relatively high structure unlike conventional photovoltaic power generation. To solve these problems, intelligent and efficient operation and diagnostic functions are required. In this paper, we discuss the design and implementation of a prediction and diagnosis system to collect and store the power output of agricultural solar power generation facilities and implement an intelligent prediction model. The proposed system predicts the amount of power generation based on the amount of solar power generation and environmental sensor data, determines whether there is an abnormality in the facility, calculates the aging degree of the facility and provides it to the user.

• Journal of the Korean Chemical Society
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• v.65 no.5
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• pp.370-381
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• 2021

This study compared and analyzed the chemistry curriculum of South Korea and Singapore. The analysis revealed that Korea's achievement standards in the chemistry subject comprised knowledge and skills, whereas Singapore's achievement standards comprised knowledge, skills, values, and attitudes. The scope of knowledge and skills of the Singaporean achievement standards-wherein each element was explicitly presented-were more extensive than that of Korea. The elementary school curriculum in both countries was structured to help students qualitatively understand materials in real life, whereas the middle school content was structured such that students could understand the topic of particles. Additionally, several differences were found in specific content elements; for example, the periodic tables were included only in the Singaporean content, whereas changes in the volume of gas according to temperature and pressure were included only in the Korean content. The Singaporean academic achievement standards, integrating knowledge, skills, values, and attitudes in science curriculum, can be used as a reference for adjusting and restructuring the Korean curriculum.

• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.379-392
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• 2021

In recent years, vocational training has shifted away from lectures and practice-oriented methods in light of rising demand for project-based classes in which trainees can produce results while simultaneously receiving feedbacks from field experts from the industry. Therefore, this study aims to suggest a salient role of the project-based classes of enterprise-customized training programs, which private vocational training institutions regard as vital, by identifying demands from trainees or the actual beneficiaries of these programs. To this end, a written survey of the trainees' perception of the enterprise-customized training programs was conducted along with a qualitative analysis of open-ended questions. Specifically, we analyzed the overall satisfaction level of these classes, their contribution to employment, degree of meeting the expectations, and areas for improvements to ultimately derive significant implications.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.714-722
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• 2021

In this study, intends to propose virtual reality education contents for fundamental nursing skills to develop various teaching methods in nursing education. Blood sugar test & insulin subcutaneous injection among the 20 core fundamental nursing skills is one of that frequently performed and can be used for self-management education for diabetic patients. This study designed a core fundamental nursing skill on immersive VR contents by dividing the learner's experience into three stages: guide, mission, and feedback with these skills. And it is designed by tracking the movement of the hand through finger joint recognition without using a controller for immerse in training. This study will help develop VR nursing education contents that can improve clinical practice competency and the effect of the nursing education.

• Journal of Broadcast Engineering
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• v.26 no.2
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• pp.184-196
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• 2021

This paper proposes statistics adaptive linear regression-based object size prediction method for object detection. YOLOv2 and YOLOv3, which are typical deep learning-based object detection algorithms, designed the last layer of a network using statistics adaptive exponential regression model to predict the size of objects. However, an exponential regression model can propagate a high derivative of a loss function into all parameters in a network because of the property of an exponential function. We propose statistics adaptive linear regression layer to ease the gradient exploding problem of the exponential regression model. The proposed statistics adaptive linear regression model is used in the last layer of the network to predict the size of objects with statistics estimated from training dataset. We newly designed the network based on the YOLOv3tiny and it shows the higher performance compared to YOLOv3 tiny on the UFPR-ALPR dataset.

• Journal of The Korean Association For Science Education
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• v.39 no.3
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• pp.441-456
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• 2019

In this study, we investigated pre-service science teachers' design for lessons using analogies in the perspectives of PCK. Three pre-service science teachers at a college of education in Seoul participated in this study. After the workshop of instructional analogies in science education, they practiced lessons using analogies in teaching practices. We observed their lessons and collected all of the teaching-learning materials. Semi-structured interviews were also conducted. The analyses of the results reveal that they dealt with mapping and unshared attribute only when using main analogies in their lessons and these processes were teacher-centered. There were some cases where they failed to adequately deal with analogies including concepts beyond the curriculum. When dealing with unshared attributes, they did not tend to accept students' opinions although they thought that unshared attributes are strongly related to misconceptions. Their understanding of assessment using analogies was not high. Assessment was relatively well done when they use student-centered analogies such as physical analogies or role-playing analogies. On the bases of the results, we suggest some educational implications for pre-service science teacher education.