• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1826-1829
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• 2005

Recent advancement in wireless communications and electronics has enabled the development of low power sensor network. Wireless sensor network are often used in remote monitoring control applications, health care, security and environmental monitoring. Wireless sensor networks are an emerging technology consisting of small, low-power, and low-cost devices that integrate limited computation, sensing, and radio communication capabilities. Sensor network platform for health care has been designed, fabricated and tested. This system consists of an embedded micro-controller, Radio Frequency (RF) transceiver, power management, I/O expansion, and serial communication (RS-232). The hardware platform uses Atmel ATmega128L 8-bit ultra low power RISC processor with 128KB flash memory as the program memory and 4KB SRAM as the data memory. The radio transceiver (Chipcon CC1000) operates in the ISM band at 433MHz or 916MHz with a maximum data rate of 76.8kbps. Also, the indoor radio range is approximately 20-30m. When many sensors have to communicate with the controller, standard communication interfaces such as Serial Peripheral Interface (SPI) or Integrated Circuit ($I^{2}C$) allow sharing a single communication bus. With its low power, the smallest and low cost design, the wireless sensor network system and wireless sensing electronics to collect health-related information of human vitality and main physiological parameters (ECG, Temperature, Perspiration, Blood Pressure and some more vitality parameters, etc.)

• 한국해양공학회지
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• 제20권2호
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• pp.1-7
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• 2006

This paper, presents a comparison between numerical analysis and field test on a real offshore platform in Bohai Bay, China. This platform is a steel jacket offshore platform with vertical piles. The field testing under wave-induced force and wind force etc. was conducted, in order to obtain the dynamic parameters of the structure, including the frequencies of the jacket platform, as well as the corresponding damping ratios and mode shapes. The natural excitation technology (NexT) combined with eigensystem realization algorithm (ERA) and the peak picking (PP) method in frequency domain are carried out for modal parameter indentification under operational conditions. The three-dimeansional finite element model (FEM) is constructed by ANSYS and analytical modal analysis is performed to generate modal parameters. The analytical results were compared with experimental results. A good agreement was achieved between the finite element and analysis and field test results. It is further demonstrated that the numerical and experimental modal analysis provide a comprehensive study on the dynamic properties of the jacket platform. According to the analysis results, the modal parameters identification under ambient excitation can calibrate finite element model of the jacket platform structures, or can be used for the structural health monitoring system.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.37-46
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• 2021

Recently, social technologies have been created to solve problems from businesses for the establishment of generational solidarity ecosystem in terms of employment, residential space, network and social capital, age, cognitive and environmental aspects. This is senior-friendly healthcare business system aimed at meeting the senior needs for health life to enjoy active consumption culture life even after retirement, becoming a catalyst for minimizing generational conflicts, preventing the cognitive and physical deterioration of seniority in the areas of life healthcare, fitness and well-aging, and expanding into systems necessary for seniority self-reliance. We would like to draw up the development and requirements of the concept of the service platform for the study of collective characteristics for generation solidarity with senior class and the establishment of a customized senior health life system for generation solidarity. This system is characterized by a platform that can prevent the decline of seniors' cognitive and physical functions and enhance emotional stability. It is significant in providing feedback on the risk perception index, fall index, and prevention training index information to the child through the analysis and extraction of the senior health index for risk perception, fall probability, and fall prevention.

• 한국산업정보학회논문지
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• 제17권1호
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• pp.47-62
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• 2012

만성질환 관리 서비스가 활성화되기 위해서는 유헬스 플랫폼을 중심으로 서비스 콘텐츠 개발자, 서비스 제공자, 디바이스 공급자 등이 긴밀하게 협력하여 가치사슬을 형성하는 생태계가 구축되어야 한다, 그러나 기존 유헬스 플랫폼은 안전하고 효율적인 개인건강기록 (PHR) 관리, 맞춤형 지능형 서비스 지원, N 스크린 서비스 지원 등의 부족으로 효과적인 생태계 구축이 어렵다. 이 논문에서는 이러한 유헬스 플랫폼의 문제점을 개선하기 위해 새로운 '만성질환 관리 플랫폼(CDMP: Chronic Disease Management Platform)'을 제안한다. CDMP는 만성질환 건강관리 증진 서비스를 개발 실행 공유하기 위한 공통 기능을 컴포넌트로 제공하고 다양한 서비스 및 시스템 간의 연결.통합을 위한 허브 기능을 수행하는 소프트웨어 플랫폼이다 CDMP는 SOA 기반으로 설계되어 높은 재사용성 확장성을 제공하며 정보 콘텐츠 서비스를 누구나 쉽게 이용할 수 있도록 Open API를 제공하는 개방형 플랫폼, N스크린 서비스를 위한 멀티플랫폼, SNS와의 연동을 통한 자가관리 기능을 지원한다. 이 논문에서는 CDMP 개발을 위한 요구사항 분석, 구조 설계, 설계 검증을 위한 프로토타입 구현을 수행하고, 특히 PHR 정보 관리를 위한 '하이브리드 데이터 모델'의 구현과 성능 평가를 통해 CDMP의 우수성을 검증하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.311-325
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• 2023

In the construction machinery rental market, there are frequent cases of sublease through large-scale rental companies or rental through mediation organizations without legal grounds. In addition, institutional improvement of the construction machine safety management system has been required due to concerns over the internalization of legal inspections due to the lack of type approval data and construction machine history management during the construction machine inspection process. The government is responsible for securing safety of construction machinery and promoting mechanization of construction machinery by efficiently managing the construction machinery market by setting safety management such as type approval, registration, and inspection of construction machinery. In order to efficiently implement this, it is required to establish a platform for renting construction machinery and collecting safety management information. We presented a plan to build a public platform for construction machinery to secure the soundness of the construction machinery rental market and to improve safety management.

• Safety and Health at Work
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• 제10권1호
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• pp.1-2
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• 2019

• 한국융합학회논문지
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• 제12권9호
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• pp.169-178
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• 2021

우리는 곧 포스트 코로나 시대를 마주하게 될 것이다. 현재, 한국보건복지인력개발원에서 운영 중인 보건복지 인력 대상 직무교육 본래 목적 달성과 교육 일관성 유지를 위한 변화 혁신이 필요한 시점이다. 본 고에서는 보건·복지 직무교육 콘텐츠를 집적하여 효율적·효용성 있는 교육과정 운영을 위한 대안을 찾기 위해 국내·외 문헌고찰을 했다. 이를 통해 오픈 플랫폼 구축 가능성을 점검하고 충분한 대안으로서 제시할 수 있을 것으로 판단했다. 오픈 플랫폼의 수요자는 보건복지 서비스 인력(종사자), 전문가(교수, 관련기관 공직자, 전문가 등), 대상 국민, 관련 시민사회단체 등이다. 또한, 제공자(suppliers)는 강사진(연구자, 교수, 관련기관 공직자, 전문가 등), 보건복지개발원을 포함 보건복지 관련 공공기관이 될 것이다. 보건복지 부문 직무교육 오픈 플랫폼 구축을 통해 대상자의 교육 접근성과 학습관리시스템 운영이 가능하겠다, 무엇보다도, 교육 전문가의 업무 중복과 예산 효율화에 기여할 수 있을 것이라 기대한다.

• 한국산학기술학회논문지
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• 제15권3호
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• pp.1740-1748
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• 2014

개인 맞춤형 헬스 케어 서비스 플랫폼은 개인별 건강관리를 위하여 다양한 건강정보 데이터를 저장 관리하고 건강정보 제공 및 건강 가이드 서비스를 제공하기 위한 헬스 케어 서비스 플랫폼으로 개인의 프라이버시와 개인정보보호를 전제조건으로 서비스 되어야 한다. 본 논문에서는 개인의 역할에 따른 보안서비스를 기반으로 제공되는 개인 맞춤형 헬스케어 서비스 플랫폼을 제안한다. 제안된 개인 맞춤형 헬스 케어 서비스 플랫폼은 병원에서 측정하는 기초 임상, 영상, 약물 데이터에 대한 저장 및 관리뿐만 아니라 개인적으로 획득할 수 있는 건강 정보, 즉 스마트 기기에서 측정 및 입력 가능한 음식물, 수면, 감정, 운동에 대한 데이터를 종합적으로 관리하여 일상생활에서 개인별 건강정보를 관리할 수 있도록 하여 현대인들의 스마트한 건강생활을 지원하는 기능을 제공하는 서비스 플랫폼에 역할기반 접근제어 모델을 적용하여 개인의 사생활 및 개인 정보 침해를 방지할 수 있도록 하였다. 제안된 RBAC 기반의 스마트 헬스 케어 서비스 플랫폼은 구현환경에 따라서 다양한 사용자와 사용자의 역할 및 권한 등을 설정하여 유연하게 개인 정보보호를 할 수 있는 시스템으로 구축되어 개인 맞춤형 건강정보 서비스를 제공할 수 있다.

• 국제물리치료학회지
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• 제5권1호
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• pp.641-646
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• 2014

The purpose of this study is to observe how balance exercise on an unstable platform and on a stable platform affects balance ability. The subjects were 35 adults in their 20s and were randomly assigned to a stable platform group and an unstable platform group. They performed balance exercise three times per week for six weeks. Balance exercise introduced by previous research was modified and complemented for use in this study. Balance ability of the subjects was measured through center of pressure(COP) area, medial-lateral displacement, and anterior-posterior displacement using a portable balance platform BT4. There was significant difference in the COP area between the unstable platform exercise group and the stable platform exercise group. In comparison in differences between the unstable platform exercise group and the stable platform exercise group after the exercise, there was significant difference in anterior-posterior movement. Therefore, exercise on an unstable platform is more effective than exercise on a stable platform in strengthening balance ability.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.974-992
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• 2021

Recently, the healthcare field has undergone rapid changes owing to the accumulation of health big data and the development of machine learning. Data mining research in the field of healthcare has different characteristics from those of other data analyses, such as the structural complexity of the medical data, requirement for medical expertise, and security of personal medical information. Various methods have been implemented to address these issues, including the machine learning model and cloud platform. However, the machine learning model presents the problem of opaque result interpretation, and the cloud platform requires more in-depth research on security and efficiency. To address these issues, this paper presents a recent technology for Internet-of-Things-based (IoT-based) health big data processing. We present a cloud-based IoT health platform and health big data processing technology that reduces the medical data management costs and enhances safety. We also present a data mining technology for health-risk prediction, which is the core of healthcare. Finally, we propose a study using explainable artificial intelligence that enhances the reliability and transparency of the decision-making system, which is called the black box model owing to its lack of transparency.