• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.175-182
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• 2021

The purpose of this study is to establish the direction of industrial policy by comparing the employment inducement effect on the related industries of the digital bio-healthcare industry. The analysis data used the three-year input-output table measured by the Bank of Korea. First, the research method was rewritten into 7 major industries to compare statistical data by period. Second, the Bank of Korea's industry-related analysis methodology was utilized. Third, the weight was reflected and compared by employment, production, and investment sectors of the digital bio-healthcare industry. As a result of the analysis, first, the employment sector had a higher effect than the average of the entire industry, second, the production sector was low, and third, the investment sector required investment in the service sector. The conclusions drawn from the analysis showed that direct investment and continuous investment are required in the employment sector, the development of professional manpower is urgent, and direct investment and long-term investment are effective in the production sector.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.95-102
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• 2023

This study was to identify the factors affecting nurses' use intention of digital healthcare and the moderating effect of clinical career based on the UTAUT model. The items were composed by performance expectancy 3 items, facilitation condition 3tiems, and perceived risk 3 items. CFA was performed to verify the construct validity. As a results, average variance extracted (AVE) was .5 or higher, and construct reliability (CR) was .7 or higher. Model fit was confirmed as CMIN/df=1.797, GFI=.955, CFI=.979, TLI=.968, IFI=.979, and RMSEA=.063. The internal reliability was .93 for performance expectancy, .84 for facilitating conditions, and .64 for perceived risk. Performance expectancy, facilitating condition, and perceived risk had a significant effect on use intention, and clinical career showed a moderating effect(t=-2.159, p=.032). Therefore, in order to enhance the use intention of digital health care, performance expectancy, and facilitating conditions should be raised and perceived risk should be reduced.

• The Journal of Bigdata
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• v.7 no.1
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• pp.29-36
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• 2022

The prevalence of stress and depression among emotional workers is increasing due to the rapid increase in emotional labor and service workers. However, the current mental health management of emotional workers is difficult to consider the emotional response at the time of stress situations, and the existing mental health management is limited because the individual's base state is not reflected. In this study, we present mental healthcare digital twin solution technology, a personalized stress risk management solution. For mental health risk management due to emotional labor, a solution simulation is performed to accurately predict stress risk through synchronization/modeling of dynamic objects in virtual space by extracting individual stress risk factors such as emotional/physical response and environment into various modalities. It provides a mental healthcare digital twin solution for predicting personalized mental health risks that can be configured with modalities and objects tailored to the environment of emotional workers and improved according to user feedback.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.221-228
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• 2017

With the recent development of IoT technology, medical services using IoT technology are increasing in many medical institutions providing health care services. However, as the number of IoT sensors attached to the user body increases, the healthcare information transmitted to the server becomes complicated, thereby increasing the time required for analyzing the user's healthcare information in the server. In this paper, we propose a deep learning based health care information management method to collect and process healthcare information in a server for a large amount of healthcare information delivered through a user - attached IoT device. The proposed scheme constructs a subnet according to the attribute value by assigning an attribute value to the healthcare information transmitted to the server, and extracts the association information between the subnets as a seed and groups them into a hierarchical structure. The server extracts optimized information that can improve the observation speed and accuracy of user's treatment and prescription by using deep running of grouped healthcare information. As a result of the performance evaluation, the proposed method shows that the processing speed of the medical service operated in the healthcare service model is improved by 14.1% on average and the server overhead is 6.7% lower than the conventional technique. The accuracy of healthcare information extraction was 10.1% higher than the conventional method.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.261-267
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• 2016

As IoT technology has gained the attention all around the world, the development for various services of healthcare, smart city, agriculture, and defense based on IoT is in progress. However, it is likely that healthcare services based on IoT have a problem of being leaked of patients' biological information by a third party and that risks patients' lives. In this paper, an IoT health care service managing model based on location sensor is proposed, which secures the biological information of a patient and simplifies the procedure to process the treatment and administration steps by using the data resources sensed. Even when an emergency occurs, this proposed model can respond quickly using the location information of the patient, which enables the staff in the hospital to locate the patient in real time. In addition, there is an advantage to minimize the time and the process of care, because the location of the equipment for necessary treatment is possible to be instantaneously located with attached sensors.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.133-139
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• 2014

This study has designed the system that can manage the amount of exercise required for health management, viewing the health management courses which are currently being operated, register the desire courses and verifying the registered schedules and monthly health performances at a glance by using a mobile application. The advantage of health club management system is automatically transmits the daily exercise information to the server without a separate sensor through a simple QR scanning using a smart phone. Since the overall operating requirements of services and various facilities of health club is transmitted as the data to the remote server through a smart phone, users of various levels including workers, students, housewives, etc can easily access and use the health club management system using the WiFi, LTE, 3G, etc.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.357-367
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• 2019

This study was to investigate the effects of workers' attitudes to internet health information(AIHI), e-health literacy(eHL) on internet health information seeking behavior(IHISB) and health-related behavioral intention(HBI). 152 workers conducted the structured questionnaires from May to July 2017. Data analyzed by t-test, ANOVA, and multiple regression analysis. Factors affecting IHISB were identified to be eHL (${\beta}=.33$, p<.011), and perceived usefulness for internet health information(PU)(${\beta}=.28$, p=.002), and factors affecting HBI were identified to be PU(${\beta}=.33$, p=.001), information utilization(IU)(${\beta}=.24$, p=.003), and eHL(${\beta}=.18$, p=.002). As above results, considering the eHL of workers, it is necessary to build an internet health information system and develop education program that increase IU.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.763-778
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• 2022

In this study we aim to identify the core technologies that play central roles along with the peripheral technologies that contribute to the technology convergence in digital healthcare. A total of 376 korean-patents related to healthcare were gathered from 2011 to 2020, and a topic modeling technique and a network analysis were conducted on the collected data. Six major topics were derived through the topic modeling procedure which are "data collection", "signal measurement", "health management", "data transmission", "diagnostic treatment", and "measurement device". Each of the six topics were analyzed to depict relations among technologies, specify the convergence characteristics, and identify the core-technology through centrality analysis. The study illustrates the present status of digital healthcare technology development and the technological convergence in South Korea and is anticipated to help establish policies to foster healthcare industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.35-52
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• 2023

Recently, as the non-face-to-face environment has developed due to COVID-19 and environmental pollution, the importance of online digital healthcare is increasing, and venture start-ups and activities such as health care, telemedicine, and digital treatments are also actively underway. This study conducted the impact on the acceptability of digital healthcare smartwatches with an integrated approach of the expanded integrated technology acceptance model (UTAUT2) and the behavioral inference model (BRT). The most advanced integrated technology acceptance model for innovative technology acceptance research was used to identify major factors such as utility expectations, social effects, convenience, price barriers, lack of alternatives, and behavioral intentions. For the study, about 410 responses from ordinary people in their teens to 60s across the country were collected, and based on this, the hypothesis was verified using structural equations after testing reliability and validity of the data. SPSS 23 and AMOS 23 were used for research analysis. Studies have shown that personal innovation has a significant impact on the reasons for acceptance (use value, social impact, convenience of use), attitude, and non-use (price barriers, lack of alternatives, and barriers to use). These results are the same as the results of previous studies that confirmed the influence of the main value of innovative ICT on user acceptance intention. In addition, the reason for acceptance had a significant effect on attitude, but the effect of the reason for non-acceptance was not significant. It can be analyzed that consumers are interested in new ICT products and new services, but purchase them more carefully and selectively. This study has evolved from the acceptance analysis of general-purpose consumer innovation technology to the acceptance analysis of consumer value in smartwatch digital healthcare, which is a new and important area in the future. Industrially, it can contribute to the product's purchase and marketing. It is hoped that this study will contribute to increasing research in the digital healthcare sector, which will play an important role in our lives in the future, and that it will develop into in-depth factors that are more suitable for consumer value through integrated approach models and integrated analysis of consumer acceptance and non-acceptance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.910-912
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• 2014

최근 친환경과 헬스케어에 관심이 높아짐과 더불어 자전거 타는 것에도 관심이 높아지고 있다. 우리나라 정부에서도 거기에 발맞춰 자전거 전용도로를 전국에 설치하기고 했다. 처음 자전거를 배우기 시작해서 어느 정도 중심을 잡게 되면 보통 변속기를 사용하게 된다. 변속기를 사용하게 되면 승차 자들은 도로나 환경에 맞지 않게 미숙하게 변속을 하게 되며, 이에 따른 사용자의 조작에 사용하는 엄지 또는 검지의 손가락에 피로감이 높아지고 안전위험이 증가하게 되지만, 사용하는 개인들은 그것을 모르고 사용하는 경우가 많다. 본 연구에서는 자전거 사용을 활성화 하고 안전에 도움을 주고, 변속 조작에 사용하는 엄지 또는 검지 손가락 피로를 줄일 수 있는 디지털변속기를 개발하였다. 디지털변속기를 사용함으로 자전거 변속에 어려운 승차 자들을 위해 디지털 변속을 사용하므로 서 주행효율을 개선하고, 안전하게 자전거를 사용할 수 있을 것으로 사료된다. 승차 자가 속도 및 구배 정확하지 않는 변속에 의한 피로가 누적되어 하체에 무리가 많이 가게 되어서, 이로 인해 사고율도 높아 질수 있다. 기존 변속에 의한 문제점들을 해결하여 자전거의 운용을 효율성과 편의성을 개선하여, 안전 주행이 가능하게 하는 디지털 변속기를 개발 하였다.