• Journal of Digital Convergence
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• v.17 no.1
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• pp.403-412
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• 2019

The purpose of this study is to analyze temporal and spatial variations of atopic dermatitis and to identify major factors. Data utilized in the study were collected by the Community Health Survey, KOSIS and so and on from 2009 to 2013. This study was analyzed using descriptive statistics and Geographically weighted regression model. As a result, regional diagnosis rate of atopic dermatitis was increased by 5 years, and difference related to geographic location was so large. The regional characteristics that contribute to the diagnosis of atopic dermatitis were as follows: older adults population ratio, ratio of basic living security received people, depression experience rate, high risk drinking rate, number of wastewater discharge business, number of tobacco retail business, number of fast food restaurant business. This study is meaningful in that it provided basic data on health policy direction and provided information on prioritization of health business in each region.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.2
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• pp.1-24
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• 2019

In this study, we propose a logical transfer method of records using cloud storage to solve the integrity problem of digital component, which is generated when electronic records are transferred from the electronic record production system to the record management system. This method, which produces electronic records using cloud storage from the production stage and transfers them to the archives, has the following advantages. First, as a record management method, it can be effectively applied in public institutions by utilizing cloud computing technology, which has been the trend recently. Second, unlike the existing method of copying and physically transferring electronic records, the proposed method can reduce various risk factors that may occur in the transfer of electronic records by logically transferring the storage. Third, the method can prevent errors of the digital component according to the physical transfer of the electronic record; hence, the integrity of the electronic record can be guaranteed. Fourth, administrative power and cost that are wasted because of the electronic transfer of electronic records can be reduced.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.103-111
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• 2021

In modern society, digital lifestyles are spreading to minimize contact with people and to receive contactless information. The spread trend has established an unmanned distribution system in which transactions through contactless technologies such as kiosks and chatbots are activated in face-to-face transactions with sellers and consumers. In order to streamline logistics supply worldwide, digital new deal based joint logistics hubs, unmanned courier storage platforms, and fresh logistics based last mile services have been developed into unmanned logistics systems, focusing on the intelligent logistics system automation process. Unmanned courier storage system installed in urban areas and home to daily logistics where volume is concentrated are provided with fresh logistics services through cold chain and receiving freights in contactless environments. Development is also underway to minimize safety accidents caused by courier services, such as managing various information based on the integrated control system. This paper defines the concept of integrated operation for the development of a platform for contactless unmanned courier storage device developed into next-generation logistics system. In addition, we intend to develop systems engineering-based output for deriving safety requirements and specifications by identifying risk sources that may occur in the operational scenario. Therefore, the goal is to establish a foundation for safety and reliability between interfaces of logistics systems to be installed in apartment and subway station environments that want to provide unmanned logistics services to various consumers.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.215-220
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• 2021

In order to reduce the harmful effects on the human body caused by the recent increase in the generation of fine dust in Korea, there is a need for technology to help predict the level of fine dust and take precautions. In this paper, we propose a 1D Convolutional-Recurrent Neural Network (1-D CRNN) model to predict the level of fine dust in Korea. The proposed model is a structure that combines the CNN and the RNN, and uses domestic and foreign fine dust, wind direction, and wind speed data for data prediction. The proposed model achieved an accuracy of about 76%(Partial up to 84%). The proposed model aims to data prediction model for time series data sets that need to consider various data in the future.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.13-19
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• 2021

The purpose of this study is to find a reasonable solution that is compatible with the government's policy on calming the overheated housing market and the needs of prospective home buyers. For this purpose, this study analyzed the current state of the housing market and looked at the root cause of the people's desire to purchase housing. And this study suggested the need to introduce a super-long-term mortgage system that can help people choose whether to own or rent a house in accordance with individual preferences. The super-long-term mortgage system would be useful in that the majority of people who currently use mortgages prefer long-term loan products and that it could provide a chance to "get their own homes" by easing the monthly repayment burden for those who want to have homes. If the system is introduced in the future, it is necessary to make efforts for stable operation such as risk-hedge. In particular, the government should apply a limited application to end-users so that they can curb rising housing prices and contribute to stabilizing housing prices.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.667-676
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• 2021

Recently, adolescents in Korea are exposed to the risk of postural imbalance due to overuse of smartphones and lack of physical activity due to the amount of learning. In addition, the need for effective non-face-to-face exercise services is increasing due to Corona 19. With this in mind, this study proposes an exercise service using an EMG sensor to overcome the limitations of non-face-to-face services while providing the effect of improving round shoulders for adolescents. An exercise program that can improve round shoulders was constructed, and an application in conjunction with an EMG sensor was implemented to exercise effectively. The exercise program was configured to alternately exercise the target muscle area for 4 weeks, and the function to provide feedback was added by measuring the EMG values that change accordingly. Through this study, we intend to provide the basis for exercise-based posture correction digital service, and improve the unbalanced body through this, thereby promoting the possibility of health promotion.

• Journal of Platform Technology
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• v.8 no.3
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• pp.22-29
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• 2020

The 4th industrial revolution is progressing by country as a mega trend that leads various technological convergence directions in the social and economic fields from the initial simple manufacturing innovation. The epidemic of infectious diseases such as COVID-19 is shifting digital-centered non-face-to-face business from economic operation, and the use of AI and big data technology for personalized services is essential to spread online. In this paper, we analyze cases focusing on the application of artificial intelligence technology, which is a key technology for the effective implementation of the digital new deal promoted by the government, as well as the major technological characteristics of the 4th industrial revolution and describe the use cases in the field of disaster response. As a disaster response use case, AI assistants suggest appropriate countermeasures according to the status of the reporter in an emergency call. To this end, AI assistants provide speech recognition data-based analysis and disaster classification of converted text for adaptive response.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.393-398
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• 2021

As society becomes more complex and advanced, the risk of accidents is inevitably increased, and this is an opportunity to increase the occurrence of not only congenital disabilities but also acquired disabilities. In this situation, the use of rehabilitation robots, a complex of advanced technologies, is expected to increase steadily in the future. So the authors would take a look the technological trends and future development prospects of domestic and foreign rehabilitation robots. Until now, disability assistive robot technology has been mainly developed in the field of supporting disability with walking disabilities or work limitations rather than cognitive disabilities. However, another issue of population aging is that cognitive impairment has the potential to increase, so development of a disability assistance robot that secures user safety must be actively promoted. It is thought that empirical results should be derived and converged

• Journal of Digital Convergence
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• v.18 no.12
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• pp.615-630
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• 2020

This study analyzes the difference in total cholesterol blood concentration according to dietary characteristics and health characteristics, as well as general characteristics, and the relationship between that factor and total cholesterol level according to the diagnostic criteria for dyslipidemia, and then compares and analyzes the relative risk ratio of significant factors for the occurrence of dyslipidemia. As a result, the total cholesterol blood concentration increases with age, so continuous management is necessary. Mainly, waist circumference level in early adulthood, regular exercise of appropriate intensity in late adulthood, and subjective health level management in the elderly are necessary. It was found that it was necessary to manage BMI level and eating-out level overall.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.225-234
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• 2022

Voice commerce has emerged as a key channel for consumer searches and purchases. This study examines the continuance use intention of voice commerce, applying value-based adoption model. An online survey was conducted with 470 consumers who has experienced with voice commerce. As participants were who buys and purchases goods; or a user who uses food delivery service in voice commerce context. This study used SPSS 23.0 and Amos 23.0 for descriptive analysis, correlation analysis, confirmatory factor analysis, and structul equation modeling analysis. These reaults are as follows. First, usefuleness and response accuracy were significantly influenced the perceived value of voice commerce. Second, functional risk was significantly influenced the the perceived value of voice commerce. Third, perceived value was significantly influenced the continuance use intention of voice commerce. These results enhance understanding of voice commerce users and provide insight into the service provider of voice commerce.