• The Journal of Industrial Distribution & Business
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• v.12 no.12
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• pp.11-24
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• 2021

Purpose: The purpose of this study was to provide comprehensive measures for the development of public health care through a survey on consumers' awareness of health care use from the point of view of local residents. Research design, data and methodology: For about one week from January 07 to January 14, 2021, questionnaires were distributed to 800 local residents and analyzed. For statistical analysis of collected data, frequency analysis and cross-analysis were performed. Results: Regarding public health service, 'providing medical services that can be used by all citizens and protect and promote health' had the highest response rate of 95.2% of total respondents. Regarding health care system satisfaction, 'Accessibility to general treatment' had the highest score with an average of 3.31 points. Regarding comprehensive measures for the development of public health care, 'Establishment of an infection and patient safety system' had the highest score with an average of 3.91 points. Conclusions: The direction of public health care and services should include management of infectious diseases during national disasters, reduction of gaps in medical use by region and class, improvement of access to emergency medical care, and quality improvement of specialized medical care.

• Korean Journal of Artificial Intelligence
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• v.9 no.2
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• pp.15-21
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• 2021

This paper conducted a feasibility study by applying an Internet of Things and Artificial intelligence-based management system for the elderly living alone in an aging society. The number of single-person families over the age of 50 is expected to increase, and problems such as health, safety, and loneliness may occur due to aging. Therefore, by establishing an IoT-based care system for the elderly living alone, a stable service was developed through securing a rapid response system for the elderly living alone and automatically reporting 119. The participants of the demonstration test were subjects under the jurisdiction of the "Seongnam Senior Complex," and the data collection rate between the IoT sensor and the emergency safety gateway was high. During the demonstration period, as a result of evaluating the satisfaction of the IoT-based care system for the elderly living alone, 90 points were achieved. We are currently in the COVID-19 situation. Therefore, the number of elderly living alone is continuously increasing, and the number of people who cannot benefit from care services will continue to occur. Also, even if the COVID-19 situation is over, the epidemic will happen again. So the care system is essential. The elderly care system developed in this way will provide safety management services based on artificial intelligence-based activity pattern analysis, improving the quality of in-house safety services.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.161-166
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• 2019

Viewed in the rate of change in the web environment, it is very difficult to remain the initial planning at the time until the time of launch, and there is a need for a method to accommodate changes and satisfy market demands during the development process. Unlike the traditional waterfall approach of maintaining initial planning, scrum is one of the agile methodologies that enables flexibility to respond to changes in the market and customers' needs and drive customer satisfaction and business success. However, to apply the scrum to a project in actual, the practice method itself is relatively simple but not easy to apply. The reason is that the members of the organization need to understand and participate in scrum's philosophy and principles and the continuous observation and change management should be carried out. Therefore, in this paper, we presented the feature dashboard and customized scrum methodology to enable continuous observation and change management using visibility, and we shared the case that periodically reflected inspection and adaptation with the explanation of the main points. Also, based on the experience with participants, the strengths and weakness of the feature dashboard and the customized scrum methodology are summarized.

• Journal of Technologic Dentistry
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• v.42 no.4
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• pp.402-408
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• 2020

Purpose: To understand the students' level of recognition of online classes in the Department of Dental Technology and to provide the basic data for designing online classes based on the dental technology course. Methods: A survey was conducted among the students of the dental technology department. The collected data was analyzed with the SPSS ver. 25.0 program. To ensure a reliable verification, the α=0.05 significance level was used. The t-test and analysis of variance were also performed. Results: The students' level of recognition of online classes in the Department of Dental Technology is shown in the rate of recognition for video-based classes for both the theory and experiments. Students displayed high positivity with the video-based learning as it is repeated learning that is not affected by the limitations of time. In addition, video-based learning is highly beneficial in terms of convenience, satisfaction, and achievement for learning. Conclusion: Based on the results, video-based learning is a highly positive learning type for students. It was also recommended that the Department of Dental Technology should offer a post-COVID-19 online class to include the blended methods of a face-to-face class and video-based learning.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.3
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• pp.13-20
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• 2019

This study focused on the generational change of elderly people in the future based on the changes of aging background and household structure. After 2025, when the growth rate of aging rapidly becomes prominent, the generation born before 1961, the baby boomers who were in their youth after the country's liberation, will replace the current elderly generation. This means that the characteristics and values of living of the elderly will change and not pass on to the future, and that the demand for housing will also be different. The purpose of this study is to predict the future elderly housing demand and to find out the issues of housing support for elderly people and necessary institutional support items. For this purpose, the preliminary elderly people are surveyed and analyzed for their present housing condition, perception of old age, housing plan, welfare facilities and demand for living services. The results of this study are meaningful in laying the groundwork for predicting the demand for housing and living support of the elderly in the future and proposing suggestions and preparing related systems.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.5
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• pp.181-190
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• 2019

In high school classrooms, it is reported that ventilation is often insufficient, increasing health risks among students. Therefore, indoor air quality in school classrooms is very important in terms of students' health and learning abilities. In this study, the effect of window opening, which is a control mechanism for air control in summer high school classrooms, on the change in air and indoor environment of the classroom was analyzed and physical conditions of indoor and air environment were observed during the classroom course, and satisfaction of the students and teachers was assessed with questionnaires. It was found that change rate of $CO_2$ concentration in classroom was effectively reduced by carrying out activity of opening the window by active environment control activity of occupants at break time, intermission time and cleaning time. And optimal window opening by students was presented to prevent unpleasantness and degradation of indoor air quality and the effects were analyzed.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.36 no.4
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• pp.163-172
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• 2020

In this study, the effect of window opening, which is a control mechanism for air control in winter high school classrooms, on the change in air and indoor environment of the classroom was analyzed and physical conditions of indoor and air environment were observed during the classroom course, and satisfaction of the students and teachers was assessed with questionnaires. And the changes in air environment were assessed by the performance of the duster cleaning work in the classroom. It was found that 84.6% of the students surveyed said the air was stuffy. And among the alternatives, opening windows all times during class was most effective in reducing CO₂ concentration and PM concentration was measured within classroom's standard. In addition, the concentration change rate of duster cleaning work was reduced by 74.4% and 65.4% of PM10 compared to broom cleaning work.

• Journal of Korean Neurosurgical Society
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• v.64 no.1
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• pp.120-124
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• 2021

Objective : Infection is one of most devastating complications in ventriculoperitoneal (VP) shunt surgery. Preoperative hair removal has traditionally been performed to reduce infectious complications. We performed VP shunt surgeries and evaluated the prevalence of infection in patients who were shaved and those who were unshaven. Methods : A retrospective analysis was conducted of 82 patients with hydrocephalus of various pathologies who underwent VP shunt surgery, with or without having the head shaved, between March 2010 and March 2017. For patients in the non-shaved group (n=36), absorbable suture materials were used for wound closure, and Nylon sutures or staples were used in the shaved group (n=46). We evaluated the infection outcomes of patients in the two groups. Results : There was no difference in the average age of patients in the two groups. In the non-shaved group, there were no infections, while two patients in the shaved group required revision because of shunt infection. Conclusion : Non-shaved shunt surgery may be safe and effective, with no increase of infection rate. We recommend that shunt procedures could be performed without shaving the hair, which may increase patients' satisfaction without increasing infection risk.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.43-54
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• 2021

The study evaluates India's technological advancement, which has created a range of opportunities for consumers to enter into digital payment space. Demonetization in India has forced all consumers and companies to embrace and create cashless digital payment platforms. The cashless economy scenario involves various factors for its adoption such as reach, availability and awareness. This study considers factors responsible for adopting new digital payment technologies in India's different regions across various consumers. The study includes descriptive statistics and variance analysis (ANOVA) to identify elements to achieve maximum satisfaction. The research collects data from 250 respondents living in India, experiencing digital payments and online transactions. The data is collected through a structured questionnaire and critically analyzed using statistical analysis. The data has been analyzed with no sectorial biases and tracked by creating real-time indications. The study uses various hypotheses after taking responses from a sample of respondents. Cronbach's Alpha analysis is also used to determine the validity and reliability of the data. The study illustrates the complete shift of consumer behavior from cash to a cashless economy. A certain number of factors are shown to directly influence the rate of such a shift toward digital transactions in India.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.229-234
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• 2021

The explosive growth of video-based services is considered as the dominant contributor to Internet traffic. Hence it is very important for video service providers to meet the quality expectations of end-users. In the past, the Quality of Service (QoS) was the key performance of networks but it considers only the network performances (e.g., bandwidth, delay, packet loss rate) which fail to give an indication of the satisfaction of users. Therefore, Quality of Experience (QoE) may allow content servers to be smarter and more efficient. This work is motivated by the inherent relationship between the QoE and the QoS. We present a no-reference (NR) prediction model based on Deep Neural Network (DNN) to predict video QoE. The DNN-based model shows a high correlation between the objective QoE measurement and QoE prediction. The performance of the proposed model was also evaluated and compared with other types of neural network architectures, and three known machine learning methodologies, the performance comparison shows that the proposed model appears as a promising way to solve the problems.