• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.23-32
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• 2014

The nature of complex modern society inevitably creates intricate problems that can be solved by the computational and logical reasoning. The programming education in Informatics can effectively raise the ability of computational thinking. The paper proposes and evaluates a STEAM curriculum that can draw the interest and attention of students. The curriculum educates the multi-disciplinary knowledge from science, music and informatics, and it was designed to have group discussions with self-directed study. The experiments were performed with $4^{th}{\sim}6^{th}$ grade gifted students in Informatics from elementary schools. The Arduino was used as the experiment environment. The experiment results reveal that the interests in Informatics and programming have been escalated after the STEAM class; 75% of students expressed the surge of interest in computers and 93% of students responded positively to the Arduino-based class. The effectiveness of the experiment outcomes was validated with t-test.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.101-109
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• 2015

Traditionally, the value of a product or service was provided to customers by the manufacturer. However, in modern society, participation of consumers in the production of goods and services is widely integrated into the general activities of corporations. Collaborative innovation refers to the company and customer working together in creating value with the customers participating in the designing, production, marketing, and sales of products. Accordingly, it would be ill-fitted to conduct collaborative innovation using previous business methods. Though collaborative innovation in the business sector is expected to increase, there are limits to its implementation at present. This study proposes framework in developing collaborative innovation-purpose business models and a conceptual platform for its execution.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.3
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• pp.645-656
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• 2019

As the number of cyber threats to control systems increases, the need for control system cyber security is also increasing. Currently, various cyber security related education and control system education are being conducted. However, it does not fully reflect the characteristics of the control system and the characteristics of the participants. In this paper, we propose a training system and technique to enhance the control system cyber security capability. To this end, we analyze the limitations of existing security education. Based on the results, we develop a control system training environment model based on the IEC62443 Standard and develop an ARCH based training method.

• Journal of Fashion Business
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• v.22 no.5
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• pp.64-82
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• 2018

As sustainability of fashion brands is becoming more important in the prolonged depression, the fashion market is also seeking ways to create new value through convergence with various fields. In the fashion market, convergence marketing is engaged with diverse technologies combined with advanced technologies and strategies. This study established the conceptual characteristics of convergence and divergence from a market perspective. Convergence can be summarized as Borderless, Compounding, Diversification, Recombination and Affiliation. The conceptual characteristics of the divergence can be summarized as de-fusion, individualization, differentiation, specialization, and segmentation. The characteristics of convergence revealed through the case of fashion market include the expandability of the new category, the expandability of the consumer, the brand experience, and the expandability of time and space. Divergence is the differentiation of brand value, target customer, and product nature. Through this study, we could understand the differentiation of the fashion market and the direction of the marketing strategy by looking at the characteristic of the convergence marketing - oriented research that has the contrary conceptual characteristics from the extended viewpoint. Based on this, it is possible to see the changes and patterns of brand marketing strategies and techniques in recent fashion market. In the future, it is expected that the systematic study of the marketing strategy of the domestic fashion brand based on the convergence and change characteristics of the fashion market proposed in this study will continue.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.169-177
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• 2019

The city is experiencing various problems such as traffic congestion, environmental pollution, urban crime, and faces the limit of growth. Recently, various attempts to build a Smart City have been spreading around the world, in order to solve these problems. Smart City is attracting attention as the core platform of the future city with the $4^{th}$ industrial revolution. However, various definitions of smart city are mixed, and the methods and strategies for implementing smart city are changing or evolving due to the development of technology and the experience during that time. This study summarizes the definition of various smart city through literature review and suggests smart city building strategy that enables sustainable growth of cities as a platform of the $4^{th}$ industrial revolution era.

• Journal of Biomedical Engineering Research
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• v.42 no.3
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• pp.80-85
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• 2021

We developed a model to classify the absence of cervical cancer using deep learning from the cervical image to which the histogram equalization algorithm was applied, and to compare the performance of each model. A total of 4259 images were used for this study, of which 1852 images were normal and 2407 were abnormal. And this paper applied Image Sharpening(IS), Histogram Equalization(HE), and Contrast Limited Adaptive Histogram Equalization(CLAHE) to the original image. Peak Signal-to-Noise Ratio(PSNR) and Structural Similarity index for Measuring image quality(SSIM) were used to assess the quality of images objectively. As a result of assessment, IS showed 81.75dB of PSNR and 0.96 of SSIM, showing the best image quality. CLAHE and HE showed the PSNR of 62.67dB and 62.60dB respectively, while SSIM of CLAHE was shown as 0.86, which is closer to 1 than HE of 0.75. Using ResNet-50 model with transfer learning, digital image-processed images are classified into normal and abnormal each. In conclusion, the classification accuracy of each model is as follows. 90.77% for IS, which shows the highest, 90.26% for CLAHE and 87.60% for HE. As this study shows, applying proper digital image processing which is for cervical images to Computer Aided Diagnosis(CAD) can help both screening and diagnosing.

• Journal of Biomedical Engineering Research
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• v.43 no.6
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• pp.434-440
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• 2022

Liver transplantation is a critical used treatment method for patients with end-stage liver disease. The number of cases of living donor liver transplantation is increasing due to the imbalance in needs and supplies for brain-dead organ donation. As a result, the importance of the accuracy of the donor's suitability evaluation is also increasing rapidly. To measure the donor's liver volume accurately is the most important, that is absolutely necessary for the recipient's postoperative progress and the donor's safety. Therefore, we propose liver segmentation in abdominal CT images from pre-operation, POD 7, and POD 63 with a two-dimensional U-Net. In addition, we introduce an algorithm to measure the volume of the segmented liver and measure the hepatectomy rate and regeneration rate of pre-operation, POD 7, and POD 63. The performance for the learning model shows the best results in the images from pre-operation. Each dataset from pre-operation, POD 7, and POD 63 has the DSC of 94.55 ± 9.24%, 88.40 ± 18.01%, and 90.64 ± 14.35%. The mean of the measured liver volumes by trained model are 1423.44 ± 270.17 ml in pre-operation, 842.99 ± 190.95 ml in POD 7, and 1048.32 ± 201.02 ml in POD 63. The donor's hepatectomy rate is an average of 39.68 ± 13.06%, and the regeneration rate in POD 63 is an average of 14.78 ± 14.07%.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.171-179
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• 2019

This study was to develop the health education program model of young children based on e-book using QR code to prevent and manage fine dust. We developed program to prevent and manage fine dust for young children' health through in-depth discussions with 2 young children's health experts and 3 young children education experts, and developed the e-book using QR code. The program model for fine dust's prevention education based on e-book using QR code was verified for suitability as a field adaptation and teaching medium for 5-year old. The results of this study are as follows: First, the program model for fine dust's prevention education based on e-book using QR code was developed through 3 stages of appreciation activity-central activity-finishing activity. Second, the e-book using QR code is a useful teaching medium applicable to fine dust's prevention education program. In conclusion, the e-book-based fine dust's prevention education program using QR code will be used as an appropriate education method for fine dust's prevention and health management activities in the field of education for young children.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.5
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• pp.781-791
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• 2019

The purpose of this study was to evaluate the evaluation of long - term care institutions (evaluation rating, evaluation rating, suitability of evaluation index), quality of service of caregivers, Quality satisfaction, life satisfaction, and facility choice. After receiving the IRB, in January and February of 2018, the survey was completed for 79 long-term care institution managers, 381 nursing care workers, and 381 elderly people. The survey carried out an allocation sample reflecting the 2015 long - term care (facility benefit) evaluation results. The results of this study are as follows. First, it is found that the institutional evaluation (evaluation level, change of evaluation level, recognition of suitability of the index) has a greater impact on the quality of life of the elderly, appear. However, the intention of reselecting the facility after discharge was more influenced by the quality of services of caregivers. Therefore, except for the intention to reschedule the facility, it can be said that the evaluation of the National Health Insurance Corporation was partially validated.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.1-13
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• 2020

With the advent of an intelligent information society, research toward artificial intelligence education was conducted. In previous studies, the subject of research is biased, and studies that analyze attitudes toward artificial intelligence are insufficient. So, in this study developed a test tool to measure the artificial intelligence of high school students and analyze their attitudes toward artificial intelligence. To develop the test tool, 229 high school students completed a preliminary test, of which the results were analyzed via exploratory factor analysis. To analyze the students' attitudes toward artificial intelligence, the resulting test tool was applied to 481 high school students, and their test results were analyzed according to factors. From the study's results, there was no difference according to gender in the students' attitudes toward artificial intelligence, but there was a significant difference per grade. In addition, there was a significant difference in attitudes according to artificial intelligence-related experiences: the high school students who had direct and indirect experience with artificial intelligence, programming, and more frequently used it had more positive attitudes toward artificial intelligence than students without this experience. However, artificial intelligence education experience negatively influenced the students' attitudes toward artificial intelligence. Overall, the higher their interest in artificial intelligence, the more positive the high school students' attitudes toward artificial intelligence.