• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.78-88
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• 2023

Medication safety and medicine delivery challenge the well-being of the elderly and the management of the elderly center. With the outbreak of COVID-19, the elderly in the care center were challenged by the inconvenience of the medication restocking. The purpose of this paper accentuates the importance of the design and development of an UAV-based Smart Medicine Case (UAV-SMC) to improve the performance of medication management and medicine delivery in the elderly center. The researchers came up with the design of UAV-SMC in the light of the UAV and IoT technology to improve the performance of both Medication Practice Management (MPM) and Low Inventory Detection and Delivery (LIDD). Based on the result, with UAV-SMC, the performance of both MPM and LIDD was significantly improved. The UAV-SMC improves the efficacy of medication management in the elderly center by 26.97 to 149.83 seconds for each medication practice and 9.03 mins for each time of medicine delivery in Subang Jaya Malaysia. This paper only investigates the adoption of UAV-SMC in the content of elderly center rather than other industries. The authors consider integrating the UAV-SMC with the e-pharmacy system in the future. In conclusion, the UAV-SMC has significantly improved the medication management and guard the safety of elderly and caretaker in the elderly in the post-pandemic times.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.327-334
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• 2018

Objectives: The objective of this study was to investigate the relationship between the level of Electronic Medical Record (EMR) system adoption and healthcare information technology (IT) infrastructure. Methods: Both survey and various healthcare administrative datasets in Korea were used. The survey was conducted during the period from June 13 to September 25, 2017. The chief information officers of hospitals were respondents. Among them, 257 general hospitals and 273 small hospitals were analyzed. A logistic regression analysis was conducted using the SAS program. Results: The odds of having full EMR systems in general hospitals statistically significantly increased as the number of IT department staff members increased (odds ratio [OR] = 1.058, confidence interval [CI], 1.003-1.115; p = 0.038). The odds of having full EMR systems was significantly higher for small hospitals that had an IT department than those of small hospitals with no IT department (OR = 1.325; CI, 1.150-1.525; p < 0.001). Full EMR system adoption had a positive relationship with IT infrastructure in both general hospitals and small hospitals, which was statistically significant in small hospitals. The odds of having full EMR systems for small hospitals increased as IT infrastructure increased after controlling the covariates (OR = 1.527; CI, 1.317-4.135; p = 0.004). Conclusions: This study verified that full EMR adoption was closely associated with IT infrastructure, such as organizational structure, human resources, and various IT subsystems. This finding suggests that political support related to these areas is indeed necessary for the fast dispersion of EMR systems into the healthcare industry.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.1-7
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• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• Journal of Korean Clinical Health Science
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• v.2 no.2
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• pp.126-132
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• 2014

Purpose. Because traditional statistics approach had limitations in learning future forecasting and major factors causing occupational injuries in each industry, this paper develops a model forecasting and evaluating occupational injury rate by using a system dynamics model through the analysis of the industry injury statistics and the project for industry injury prevention. Method. The model of this paper consists of 12 total models such as a model of employees, of industrial disaster victims, of injury rate, etc.; In the analysis of firm size, it is classified and developed according to 12 groups on the basis of the number of employees, and in the analysis of industrial classification, it is done according to 10 total business fields such as manufacturing business, construction one, etc. Results. This paper suggests the methodology which forecasts industry injury rate by business field and size on the basis of developed model, and evaluates an industry injury prevention project from various angles. Conclusions. This paper deduced problem through the analysis of an industry injury by business fields and a comparative analysis of foreign cases, and analyzed to affect industry injury prevention by industry. And it also analyzed actual condition of industry injury, and did a difference in the level of safety consciousness according to the general characteristics of workers and occupational safety and health education related characteristics. In result, this paper suggests that analyzing occupational injury related factors, a safety budgetary allocation, and industry injury related factors can reduce illness costs such as employees' injury and medical care, and also assist cost for a disability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.915-917
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• 2012

본 논문은 기존의 헬스케어 서비스의 한계를 극복하기 위해 최근 대두되고 있는 스마트 헬스케어 서비스(smart healthcare service)에 관한 연구이다. 스마트 헬스케어는 스마트폰의 기능에 맞추어 기초체력 운동 지수, 섭취 칼로리, 심박 체크 등의 다양한 서비스를 제공할 수 있지만, 최근에는 보건의료서비스에 특화시켜 환자와 의사가 직 간접적으로 진료를 할 수 있게끔 하는 스마트폰 환경에서의 원격진료 서비스가 부각되고 있다. 그러나 스마트 헬스케어 시스템에 기존의 병원정보시스템과 연동되기 위해서는 의료정보전송 표준인 HL7을 지원해야 한다. 이에 본 논문에서는 스마트 헬스케어 시스템의 게이트웨이에서 동작하는 HL7 표준 변환 모듈을 설계 구현하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.480-497
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• 2012

As a new business concept, machine-to-machine (M2M) communications are born from original telemetry technology with the intrinsic features of automatic data transmissions and measurement from remote sources typically by cable or radio. M2M includes a number of technologies that need to be combined in a compatible manner to enable its deployment over a broad market of consumer electronics. In order to provide better understanding for this emerging concept, the correlations among M2M, wireless sensor networks, cyber-physical systems (CPS), and internet of things are first analyzed in this paper. Then, the basic M2M architecture is introduced and the key elements of the architecture are presented. Furthermore, the progress of global M2M standardization is reviewed, and some representative applications (i.e., smart home, smart grid and health care) are given to show that the M2M technologies are gradually utilized to benefit people's life. Finally, a novel M2M system integrating intelligent road with unmanned vehicle is proposed in the form of CPS, and an example of cyber-transportation systems for improving road safety and efficiency are introduced.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.34-39
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• 2018

Along with the development of ICT technology, wearable devices of various sizes and shapes have been developed. In addition, performance and specifications are rebuilt with IOT fusion products so that they can connect with the current smartphone. This is one of the general-purpose technologies of the 4th industrial revolution, which is spot-lighted with technology that changes the quality and environment of our lives. Along with this, as new technology products combining health care technology increases, various functions are provided to users who need it. Wearable technology is ongoing trend of technology development. It also sells products developed as products in the form of smart watches. At present, various related products are made in various ways, and it is recommended to use the Arduino processor in accordance with the application. In this study, we developed wearable physical activity monitoring system using open source hardware based TinyDuino. TinyDuino is an ultra-compact Arduino compatible board made on the basis of Atmega process Board, and it can be programmed in open source integrated development environment(named Sketch). The physical activity monitoring system of the welfare body can be said to be a great advantage, as a smart u-Healthcare system that can perform daily health management.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.761-762
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• 2017

좋든 싫든 고령화 사회가 되어간다는 사실은 부정할 수 없는 사실이다. 고령화 사회가 됨에 따라 장기간 약을 복용하는 인구가 점차 증가하고 있다. 이에 따라 약복용을 까먹어서 합병증이나 기타 부작용이 발생하는 사례가 빈번해지고 있다. 이에 스마트 약병을 개발해 사람들의 건강한 삶의 영위에 기여하기를 소망한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.233-234
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• 2017

본 논문에서는 섬유형 전극을 부착한 Chest Belt형 소형 저전력 단일 채널 ECG 시스템을 통한 심박 신호를 무선 전송하고 개인용 휴대 이동통신 단말기가 이를 수신하여 HRV(Heart rate variability)를 분석하고 이를 이용하여 정신적 스트레스 상태를 판단할 수 있는 스트레스 지수를 도출할 수 있는 시스템을 설계하고자 한다. 이를 위하여 저전력 MCU 설계를 통한 HR 모듈 및 검출 알고리즘을 개발하고 감정 상태를 분석할 수 있는 알고리즘을 제안한다. 본 연구의 결과는 일반인이나 만성절환자의 스트레스 상태를 감지하여 스트레스를 낮춰주는 음악 및 호흡 등을 통해 사용자의 스트레스를 감소 등의 건강관리에 활용될 수 있을 것으로 사료된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.565-566
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• 2010

최근 들어 스마트폰이 출시되면서 점차 스마트폰이 대중화되고, 삶의 질 향상과 고령사회로의 진입으로 건강 및 운동 관리에 대한 관심이 고조 되고 있다. 현대인들은 삶의 질을 높이기 위해 자신의 건강관리를 일상생활에서 확인해야한다. 본 논문에서는 맥박측정기를 이용하여 사용자의 건강정보를 실시간으로 측정하고, 측정된 값을 스마트폰을 이용하여 사용자의 건강을 관리하게 되며, 전문 의료기관의 힘을 빌리지 않고 사용자 스스로 자신의 건강상태를 알고 관리 할 수 있는 시스템을 설계 및 구현하였다.