• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.357-359
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• 2022

The market for eco-friendly food materials by online distribution is rapidly growing due to major environmental pollution such as air, soil, and water quality, and radical changes in living patterns caused by COVID-19. In addition, because of the aging population and the decrease in agricultural-related population due to social structural changes, aquaponics is emerging as a system that can solve problems such as independence of old economic activities, environmental protection, and securing healthy and safe food. This paper aims to design an intelligent plant growth measurement system among intelligent aquaponics production management modules for optimal growth environment derivation and quantitative production prediction by converging various ICT technologies into existing aquaponics systems. In particular, the focus is on designing systems suitable for production sites that do not have high-performance processing resources, and we propose a module configuration plan for production environments and training data and prediction systems.

• Information Systems Review
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• v.18 no.3
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• pp.137-153
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• 2016

Organizations depend on smart working environments, such as mobile networks. This development motivates companies to focus on information security. Information leakage negatively affects companies. To address this issue, management and information security researchers focus on compliance of employees with information security policies. Countermeasures in information security are known antecedents of intention to comply information security policies. Despite the importance of this topic, research on the antecedents of information security countermeasures is scarce. The present study proposes information security intelligence as an antecedent of information security countermeasures. Information security intelligence adapted the concept of safety intelligence provided by Kirwan (2008). Information security intelligence consists of problem solving skills, social skills, and information security knowledge related to information security. Results show that problem solving skills and information security knowledge have positive effects on the awareness of employees of information security countermeasures.

• Journal of The Korean Association of Information Education
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• v.19 no.4
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• pp.431-440
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• 2015

The purpose of this study is to analyze the influence of digital textbook use for potential risk group of internet addiction and average group. For this, I selected two samples. One was a group to use digital textbook at school, the other was a group not to use that. Then each potential risk group of internet addiction were sort out in two groups by a test of internet addiction. I firstly compared a average user group and a potential risk group of internet addiction in group to use digital textbook. Also, I too did that in group not to use digital textbook. Then I analyzed the relevance of using digital textbook and internet addiction. As a result, I found that using digital textbook have not the relevance with internet addiction. But in this paper, I proposed a way to teach ICT ethical training before students use the digital textbook, because most of potential risk students of internet addiction tend to think they was influenced by digital textbook.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.451-459
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• 2019

Various policies have been implemented for human resources development in preparation for future society. Among the policies, STEAM education, SMART education and SW education are representative examples. In order for these policies to be implemented effectively in the school setting, teachers' positive perception and teaching competency are required. In consideration of the importance of pre-service teacher education, this study analyzed the current status of elementary pre-service teachers' perception and teaching readiness on STEAM education, SMART education and SW education, and sought implications that can be reflected in pre-service teacher education. The results of the study showed that the pre-service teachers' perception on the necessity of each policy was very high, and the understanding level of each policy was relatively high. Compared with this, it was found that pre-service teachers lacked training experience related to each policy, and the level of readiness for teaching was very low. As the most important task to be solved, many pre-service teachers selected the implementation of teacher education and seminars, and the distribution of instructional programs and materials. As the result of analyzing the difference according to pre-service teachers' individual characteristics, differences were found according to the level of their ICT utilization ability. Based on the results of this study, implications to be reflected in pre-service teacher training processes were suggested.

• Journal of Platform Technology
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• v.8 no.3
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• pp.10-21
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• 2020

Partial discharge occurs a lot in high-voltage power equipment such as switchgear, transformers, and switch gears. Partial discharge shortens the life of the insulator and causes insulation breakdown, resulting in large-scale damage such as a power outage. There are several types of partial discharge that occur inside the product and the surface. In this paper, we design a predictive model that can predict the pattern and probability of occurrence of partial discharge. In order to analyze the designed model, learning data for each type of partial discharge was collected through the UHF sensor by using a simulator that generates partial discharge. The predictive model designed in this paper was designed based on CNN during deep learning, and the model was verified through learning. To learn about the designed model, 5000 training data were created, and the form of training data was used as input data for the model by pre-processing the 3D raw data input from the UHF sensor as 2D data. As a result of the experiment, it was found that the accuracy of the model designed through learning has an accuracy of 0.9972. It was found that the accuracy of the proposed model was higher in the case of learning by making the data into a two-dimensional image and learning it in the form of a grayscale image.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.407-426
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• 2020

The purpose of this study was to make convergent and combined analysis of the sport industry and exercise rehabilitation in the era of New Normal based on the Fourth Industrial Revolution and devise a comprehensive plan for future activation. For this purpose, literature review was performed mainly by analyzing the environment of the sport industry in the New Normal era based on the Fourth Industrial Revolution and by carrying out convergent and combined analysis of the sport industry to present a convergent and combined activation plan for exercise rehabilitation comprehensively as follows: First, it is necessary to make a strategy of promoting exercise rehabilitation in convergent and combined ways at the sport industry level. This means development of a convergent and combined exercise rehabilitation-tourism-ICT model as well as a convergent and combined exercise rehabilitation-ICT model through collaboration among ministries, including those of health and sports. Second, it is necessary to convert into a convergent and combined way of thinking and extend and reinforce educational competitiveness in the area of exercise rehabilitation. That is, it is necessary to refine the education and training systems for reinforcing personal ICT competence of exercise rehabilitation majors and relevant ones and provide convergent and combined business commencement education. Third, it is necessary to make different types of research and development by applying practical, convergent and combined skills based on the industrial field to exercise rehabilitation and relevant areas. Efforts should be made to overcome any risk in the era of New Normal and support business commencement with convergent and combined skills for exercise rehabilitation. Fourth, it is necessary to make mid- and long-term clusters where exercise rehabilitation and relevant businesses can be accumulated. This means building an industrial hub and complex for exercise rehabilitation and requires making an R&D-based cluster with industrial-academic-governmental collaboration, maximizing the synergy effects with local infrastructures, and fulfilling the function of realizing a spontaneous profit-generating structure.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.198-217
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• 2013

This research aims to examine the behavior changes of telemedicine participants with regard to time-space reconfiguration and to address the implications of telemedicine in terms of extensibility and restrictions (ambilaterality). According to the results of this research, telemedicine can lead to behavior changes in telemedicine participants, particularly patients. However, it is difficult to anticipate the time-space reconfiguration of telemedicine participants drastically. In other words, although telemedicine minimizes patients' burden of accessibility to and utilization of medical institutions, it requires the patients to visit medical institutions at least once due to the restricted application of telemedicine related to technological problems, the characteristics of medical practice and mutual stakes among the medical institutions involved in telemedicine. And physicians (telemedicine providers as mediators between medical specialists and patients) and medical specialists (as the ultimate telemedicine providers) do not evidence considerable changes in their behaviors, except for offline meetings for information sharing and medical training. Because the present telemedicine system does not require simultaneity between physicians, patients and medical specialists. Furthermore, present telemedicine operation is absorbed into existing medical activities as a health care delivery method. These phenomena are due to 1) the interests among medical institutions and the limitation or generalization of telemedicine technologies to stimulate regional-based telemedicine operation and 2) the goal of face-to-face interactions between patients and doctors, which is to avoid misdiagnosis and side effects. Finally, medical activities related to telemedicine do not differ from general medical activities. The ambilaterality of telemedicine in terms of extensibility and the restriction of time-space reconfiguration is an unsettled problem in the ICT technologies of medical services.

• The Journal of Bigdata
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• v.8 no.1
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• pp.49-59
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• 2023

There are various items in the safety and health standards of the manufacturing industry, but they can be divided into work-related diseases and musculoskeletal diseases according to the standards for sickness and accident victims. Musculoskeletal diseases occur frequently in manufacturing and can lead to a decrease in labor productivity and a weakening of competitiveness in manufacturing. In this paper, to detect the musculoskeletal harmful factors of manufacturing workers, we defined the musculoskeletal load work factor analysis, harmful load working postures, and key points matching, and constructed data for Artificial Intelligence(AI) learning. To check the effectiveness of the suggested dataset, AI algorithms such as YOLO, Lite-HRNet, and EfficientNet were used to train and verify. Our experimental results the human detection accuracy is 99%, the key points matching accuracy of the detected person is @AP0.5 88%, and the accuracy of working postures evaluation by integrating the inferred matching positions is LEGS 72.2%, NECT 85.7%, TRUNK 81.9%, UPPERARM 79.8%, and LOWERARM 92.7%, and considered the necessity for research that can prevent deep learning-based musculoskeletal diseases.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.133-144
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• 2015

In digital convergence environment, information security management plays crucial role in maintaining firms' competitiveness. Organizational citizenship behavior(OCB) enables informations security countermeasures to be more effectively worked by helping employees to have much knowledge of information security policy, by facilitating employees to participate in information security education/training. Thus, the purpose of this study is to investigate the mediating effect of OCB on the relationships between information security countermeasures and compliance intention. Questionary was designed based on prior information security research, and survey was conducted among companies' employees across the industry. Results showed that information security policy and information security education/training were found to be key predictors of compliance intention. In addition, OCB was proven to mediate the relationships between information security countermeasures and compliance intention.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.1-10
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• 2021

The ability to recognize human emotions by computer vision is a very important task, with many potential applications. Therefore the demand for emotion recognition using not only RGB images but also thermal images is increasing. Compared to RGB images, thermal images has the advantage of being less affected by lighting conditions but require a more sophisticated recognition method with low-resolution sources. In this paper, we propose a Divide and Conquer-based CNN training strategy to improve the performance of facial thermal image-based emotion recognition. The proposed method first trains to classify difficult-to-classify similar emotion classes into the same class group by confusion matrix analysis and then divides and solves the problem so that the emotion group classified into the same class group is recognized again as actual emotions. In experiments, the proposed method has improved accuracy in all the tests than when recognizing all the presented emotions with a single CNN model.