• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.33-39
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• 2023

As the number of people with chronic diseases increases due to an aging society, it is urgent to prevent and manage their diseases. Although biometric authentication methods and Telemedicine Systems have been introduced to solve these problems, it is difficult to solve the security problem of medical information and personal authentication. Since smart healthcare includes personal medical information of subjects, the security of personal information is the most important field. Therefore, in this paper, we tried to propose a Telemedicine System using a smart wearable device ECG in the form of a wristband and face personal authentication in a private blockchain environment. This system targets various medical personnel and patients with chronic diseases in all regions, and uses a private blockchain that can increase data integrity and transparency, ECG and face authentication that are difficult to forge and alter and have high personal identification to provide a system with high security and reliability. composed. Through this, it is intended to contribute to increasing the efficiency of chronic disease management by focusing on disease prevention and health management for patients with chronic diseases at home.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.571-572
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• 2022

Recently, VR/AR(virtual reality/augmented reality) contents have actively increased, and various services related to VR/AR allow users to experience remote places. Also, Metaverse technologies based on VR/AR generally used to provide content in virtual spaces. In this paper, we present a technique for synthesizing virtual humans after capturing a 360-degree panorama of a remote environment, and analyze the remote environment to identify the location where it can be captured without error, and apply a method of synthesizing virtual humans. According to this paper, it is possible to provide various captured spaces such as industrial plants, medical facilities, and schools as remote communication media.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.427-428
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• 2021

Recently, various augmented reality(AR) methods for monitoring situations in a remote factory have been proposed. The 2D manual with a classic method is not intuitive to understand and has limitations to provide to interact with objects to be repaired in the remote factory. In our paper, we present a guide method based on a virtual human expressed in augmented reality for the remote environment. Also, the remote factory environment was periodically captured through 3D reconstruction, our virtual human was adaptively matched to the built 3D environment. According to this paper, our method makes it possible to perform repairs quickly with the feeling of being with an expert. and it is possible to provide a visualized guide for troubleshooting in various fields such as factories, offices, medical facilities, and schools in remote environments.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.27 no.4
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• pp.196-205
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• 2017

In recent years, the service design in the medical sector evolves through practical service research and development that can visualize both intangible and intangible service elements in an integrative way and derive innovative solutions to help customers feel the service more important value. With the improvement of personal income, interest in medical welfare and well-being is increasing day by day, and the focus of the medical sector shifts from the concept of treatment of diseases and illness to preventive medicine. In response to this trend, research and development of home health care system, which greatly reduces the time and space constraint of health checkup and health care by combining ubiquitous concept with medical welfare, are being actively conducted, and the needs for improving products and medical environment based on user-centered medical service and user needs in accordance with the Health Care 3.0 Era, it becomes necessary to develop on-site medical diagnostic products that reflect user-centered needs and needs. This study is intended to research and develop a product that sufficiently reflects the needs of users by applying suitable materials and shape for on-site diagnostic product in researching and developing Wireless X-ray Detector.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.78-84
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• 2005

The education system that based on objective data is needed for the beginning technologists in the department of radiology, development of the CAI system based on breast images is needed mammography field. So, in this study, we implemented CAI system based on mammography images for medical radiological technologists under Web using multimedia toolbook. This system is implemented under Web, more and more beginning technologists can have a remote-education beyond time and space, can save human power and time that needed due to hold in common of educational information, and cannot team mistaken breast images because of learning execution based on objective data. Also, implemented system brings a higher interest and a learning effect to medical radiological technologies because of hyper-media method that offered from toolbook. In the future, it will be needed a continuous acceptance of changing knowledge and it will be useful system for technologist in case of applying various examinations based mammography method of this study.

• 기계와재료
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• v.23 no.1
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• pp.34-43
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• 2011

최근 노령화와 스포츠 인구의 증가로 인해 족부 혈액순환 장애 및 족관절의 퇴행성 질환이 증가하고 있으며 이로 인해 몸의 평형기능 및 운동성에 기능장애가 동반하게 된다. 이로 인해 일상생활 기능 저하와 낙상과 같은 이차적 합병증 발생을 초래하여 기능 및 삶의 질 저하, 활동제한 등으로 건강한 노년에 대한 심각한 위협 요인이 될 수 있다. 따라서 족부 혈액순환 증진을 위해 IT기술을 활용하여 압력에 따른 부위별 자극의 세기를 달리하고, 3D영상을 통해 가공의 상황 및 가상의 환경을 사람의 감각을 통해 느끼게 하여 실제 상호작용하고 있는 것처럼 만들어 주어, 혈액순환 개선의 효과를 극대화하고자 노화에 따른 족부건강 변화 및 족부 자극의 효과를 분석하고, 가상현실을 기반으로 한 족부혈액 순환 증진 장치와 관련 컨텐츠에 대해 제시하고자 한다.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1445-1454
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• 2021

In this study, based on the expectation that beauty education based on VR experience of beauty majors will have on expertise and practical ability, it was attempted to develop VR-based beauty subjects and secure an educational environment. A total of 106 learners participated in the study, and the online questionnaire consisted of questions about the development of VR-based beauty subjects, recognition of expertisee and practical skills, and general characteristics. The collected data were verified at the significance level of .05 using the SPSS 21.0 statistical program. As a result of frequency analysis, factor analysis, correlation, and linear regression analysis, the higher the grade, the higher the perception of VR-based beauty subjects development (p<.01). The perception of VR-based beauty subject development was related to VR-based expertise and practical skills for each sub-factor of the recognition of expertise (r=.683, p<.001), practical skills (r=.676, p<.001), and industry-related awareness (r=.543, p<.001). It was found that there was a statistically significant positive (+) correlation with related perception. In addition, it was found that the higher the awareness of VR-based beauty subjects development, the higher the expectation that expertise, practical ability, and industry-related awareness would be improved. As a result, the necessity of developing VR-based beauty subjects and expectations for course operation of majors in the beauty subjects environment were confirmed. In follow-up studies, it is necessary to expand the scope of the sample.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.167-185
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• 2019

As most G-20 countries expect medical spending to grow rapidly over the next few decades, the burden of healthcare costs continues to grow globally due to an increase in the elderly population and chronic illnesses, and the ongoing quality improvement of health care services. However, under the rapidly changing technological environment of healthcare and IT convergence, the problem may become even bigger if not properly recognized and not properly prepared. In the context of the paradigm shift and the increasing problem of the medical field, complex responses in technical, institutional and business aspects are urgently needed. The key is to derive a business model that is appropriate for businesses that integrate IT in the medical field. With the arrival of the era of the 4th industrial revolution, new technologies such as Internet of Things have been applied to eHealthcare, and the need for new business models has emerged.In the e-healthcare of the Internet era, it became a traditional firm-based business model. However, due to the characteristics of dynamics and complexity of things Internet in the Internet of things, A business ecosystem-based approach is needed. In this paper, we present and analyze the major success factors of the ecosystem based on the 3 - layer structure of the e - healthcare business ecosystem as a result of research on e - healthcare business ecosystem based on emerging technology such as Internet of things. The three-layer business ecosystem was defined as (1) Infrastructure Layer, (2) Character Layer, and (3) Stakeholder Layer. As the key success factors for the eHealthCare business ecosystem, the following four factors are suggested: (1) introduction of the iHealthcare concept, (2) expansion of the business ecosystem, (3) business ecosystem change process innovation, and (4) business ecosystem leadership innovation.

• Journal of Korea Multimedia Society
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• v.6 no.1
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• pp.148-160
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• 2003

TMA(Tissue Mineral Analysis) is very popular method in hair mineral analysis for health care professionals in over 48 countries medical center. Assesment of nutritional minerals and toxic elements in the hair is very important not only for determining adequacy, deficiencies and unbalance, but also for assessing their relative relationships in a body. In Korea, there are some problems in TMA method. Because of not haying a medical information database which is suitable for korean to do analyze, the requested TMA has to send to TEI-USA. However, as the TMA results from TEI-USA is composed of English documents and graphic files prohibited to open, its usability is very low and a lot of dollars has to be payed. Also, it can make some problems in the reliability of the TMA results, since the TMA results are based on the database of western health and mineral standards, To solve these problems, I developed the first Medical Information System of TMA in Korea here. The system can analyze the complex tissue mineral data with multiple stage decision tree classifier. It is also constructed with multiple fuzzy database and hence analyze the TMA data by fuzzy inference methods. The effectiveness test of this systems can be shown the increased business efficiency and satisfaction rate 86% and 92% respectively.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.75-80
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• 2018

In this paper, we propose heterogeneous lifelog mining model in health big-data platform. It is an ontology-based mining model for collecting user's lifelog in real-time and providing healthcare services. The proposed method distributes heterogeneous lifelog data and processes it in real time in a cloud computing environment. The knowledge base is reconstructed by an upper ontology method suitable for the environment constructed based on the heterogeneous ontology. The restructured knowledge base generates inference rules using Jena 4.0 inference engines, and provides real-time healthcare services by rule-based inference methods. Lifelog mining constructs an analysis of hidden relationships and a predictive model for time-series bio-signal. This enables real-time healthcare services that realize preventive health services to detect changes in the users' bio-signal by exploring negative or positive correlations that are not included in the relationships or inference rules. The performance evaluation shows that the proposed heterogeneous lifelog mining model method is superior to other models with an accuracy of 0.734, a precision of 0.752.