• Title/Summary/Keyword: Health Platform

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Personal Health Care Platform Trends (개인중심 건강관리 플랫폼 동향분석)

  • Kim, S.H.
    • Electronics and Telecommunications Trends
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    • v.30 no.5
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    • pp.80-88
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    • 2015
  • 최근 삼성, 애플, 구글, 마이크로소프트 등 글로벌 IT기업들이 디지털 헬스케어 시장에 뛰어들고 있다. 디지털 헬스케어는 건강상태에 대한 정보를 수집하고 이를 효율적으로 관리함으로써 개인맞춤형 건강관리 및 의료서비스 제공이 가능한 ICT융합 건강관리 서비스 및 기기로 건강관리서비스의 주도권이 의료영역에서 일반 소비영역으로 확대된 형태라고 할 수 있다. 본고에서는 디지털 헬스케어 선점을 위해 최근 경쟁이 가속화되고 있는 개인건강정보 플랫폼의 동향에 대하여 알아보았다. 삼성전자 애플, 구글, 마이크로소프트 등 국내외 글로벌 IT기업들의 개인건강정보 플랫폼과 한국전자통신연구원(ETRI)에서 미래창조과학부의 지원으로 개발 중인 개인건강정보 기반 개방형 ICT힐링 서비스 플랫폼에 대하여 살펴보았다.

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Health Monitoring Technology using Optic Fibre Sensors for Ships and Marine Equipment (광섬유센서를 이용한 선박 및 해양기자재의 안전진단 기술)

  • Lee, Sei-Chang;Kim, Jong-Ho;Kim, Jung-Yul;Kim, Yoo-Sung
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2006.06a
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    • pp.275-276
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    • 2006
  • 선박 및 해양기자재의 안전 진단을 위한 기존의 기술은 접 센서(point sensor)를 이용한 변형률 측정 기술이 대부분이라 할 수 있다. 본 논문은 기존의 기술보다 효율적으로 응용될 수 있는 광섬유 센서를 이용한 분포 개념의 온도 및 변형률 측정(DTSS: Distributed Temperature & Strain Sensing) 기술에 대해 소개하고 있다. 이 기술은 선체 응력 모니터링, 해양 구조물 안전진단, subsea flowline 모니터링, platform의 riser 안정성, umbilical 모니터링 등에 활용될 수 있다.

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A study on characteristics of accidents involving working platforms at construction sites (건설현장 작업발판에서의 재해 특성에 관한 연구)

  • Jeong, Sung-Chun
    • Journal of the Korea Safety Management & Science
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    • v.16 no.3
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    • pp.89-100
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    • 2014
  • Construction victims have increased year by year. Disaster proportion is also increasing continuously. Looking over the causes of disasters by each type of work, fall from working platform indicate the highest rate above all so that it is urgently required to set up safety measures. This study is to grasp the present status of construction accidents, to identify areal characteristics of the top 20% accidents on the basis of working platforms with the highest accident rate, to grasp the causes of accidents after their analyses, and to present methods to reduce casualties related to working platforms. As measures to reduce construction disasters, this study proposes to improve safety management and training on working platforms, to complement safety regulations, and to better performance including the development and expansion of certified products suitable for safety regulations.

Down-Scaled 3D Object for Telediagnostic Imaging Support System

  • Shin, Hang-Sik;Yoon, Sung-Won;Kim, Jae-Young;Lee, Myoung-Ho
    • Journal of Biomedical Engineering Research
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    • v.26 no.4
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    • pp.185-191
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    • 2005
  • In this paper, we proposed a downscaled 3D object technique using medical images for telediagnostic use. The proposed system consisted of downscaling/thresholding processes for building a downscaled 3D object and a process for obtaining 2D images at specific angles for diagnosis support. We used 80 slices of Digital Imaging and Communication in Medicine(DICOM) CT images as sample images and the platform-independent Java language for the experiment. We confirmed that the total image set size and transmission time of the original DICOM image set using a down-scaled 3D object decreased approximately $99\%\;and\;98.41\%,$ respectively. With additional studies, the proposed technique obtained from these results will become useful in supporting diagnosis for home and hospital care.

Innovative cable force monitoring of stay cables using piezoelectric dynamic strain responses

  • Nguyen, Khac-Duy;Huynh, Thanh-Canh;Lee, Ji-Yong;Shin, Sung Woo;Kim, Jeong-Tae
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.04a
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    • pp.830-834
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    • 2013
  • This study presents a method to monitor cable force of a long-span cable-stayed bridge using a smart piezoelectric sensor system. The following approaches are implemented in order to achieve the objective. Firstly, the method to utilize piezoelectric materials for the health monitoring of stay cables is presented. For strain measurement of a stay cable, a PZT-embedded smart skin is designed to overcome the difficulties of bonding PZT sensors directly on stay cables. Secondly, a piezoelectric strain monitoring system for stay cables is designed. For the operation of the sensor board, the Imote2 sensor platform is used to provide the computation, wireless communication and power supply units. The feasibility of the proposed monitoring system is then evaluated on a full-scale cable of a cable-stayed bridge.

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Estimation of excitation and reaction forces for offshore structures by neural networks

  • Elshafey, Ahmed A.;Haddara, M.R.;Marzouk, H.
    • Ocean Systems Engineering
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    • v.1 no.1
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    • pp.1-15
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    • 2011
  • Offshore structures are subjected to wind loads, wind generated wave excitations, and current forces. In this paper we focus on the wind generated wave excitations as the main source for the external forces on the structure. The main objective of the paper is to provide a tool for using deck acceleration measurements to predict the value of the force and moment acting on the offshore structure foundation. A change in these values can be used as an indicator of the health of the foundation. Two methods of analysis are used to determine the relationship between the force and moment acting on the foundation and deck acceleration. The first approach uses neural networks while the other uses a Fokker-Planck formulation. The Fokker-Plank approach was used to relate the variance of the excitation to the variance of the deck acceleration. The total virtual mass of the equivalent SDOF of the structure was also determined at different deck masses.

Professional medical consultation and reservation platform "Health-Chat" using a Chatbot (챗봇을 활용한 전문의료 상담 및 예약플랫폼 "헬스챗")

  • Kang, Jungsuk;Kwon, Seongjae;Seo, WonJin;Jang, SoJin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.778-780
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    • 2017
  • 현재 메신저 플랫폼을 기반으로 한 챗봇 서비스의 등장으로 앱에서 봇으로 ICT 생태계는 급속히 진화를 전망하고 있다. 현재 챗봇은 클라우드 기반의 오픈소스 플랫폼으로 구축되어 있어 대부분이 서비스로 제공된다. 이를 활용해 개발자들이 어플리케이션을 손쉽게 개발할 수 있다. Facebook 메신저를 활용한 챗봇 기반 전문의료 상담 및 예약 플랫폼으로, 사용자는 병원 방문 없이 단순한 키워드, 혹은 문장검색만으로 병명을 알 수 있다. 또한, 병명과 관련하여 사용자 위치 주변의 병원을 손쉽게 검색 예약할 수 있다.

Ubiquitous Healthcare Monitoring and Measuring System based on Wireless Sensor Network (무선센서네트워크 기반의 u-헬스케어 모니터링 및 계측시스템)

  • Lee, Young-Dong;Lee, Dae-Seok;Walia, Gaurav;Bhardwaj, Sachin;Chung, Wan-Young
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.821-822
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    • 2006
  • Ubiquitous healthcare monitoring and measuring system based on wireless sensor network was implemented and tested. The system can measure the ECG and body temperature of patients or elderly persons and transfer the data wirelessly in ad-hoc network to remote base-station connected to doctor's PDA/PC or hospital server, using wireless sensor motes. The data obtained can be analyzed by doctors and care providers to monitor a health status of patient in real time environment. To prove the capabilities of the wireless sensor network platform for ubiquitous healthcare applications, the performance of our monitoring and measuring system was tested with positive results.

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Developing and Evaluating New ICT Innovation System: Case Study of Korea's Smart Media Industry

  • Kim, Eungdo;Lee, Daeho;Bae, Kheesu;Rim, Myunghwan
    • ETRI Journal
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    • v.37 no.5
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    • pp.1044-1054
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    • 2015
  • The smart media (SM) industry has demonstrated that it has the characteristics to increase user innovative activities, enhance open innovativeness, and increase the segmentation of innovation value. This study introduces and evaluates an innovation system that reflects the characteristics of the SM industry. We categorize the SM industry into hardware, network, platform, and content industries and perform an AHP analysis (based on a survey of 96 experts) to evaluate the relative importance of the factors/factor groups affecting the creation of innovation. The results show that 'collaboration activity" is a more important factor than other innovation factor groups (financial support, R&D, policy environment, human resources) in the SM industry. The results also show that the important factors/factor groups differ by industry.

CareMyDog: Pet Dog Disease Information System with PFCM Inference for Pre-diagnosis by Caregiver

  • Kim, Kwang Baek;Song, Doo Heon;Park, Hyun Jun
    • Journal of information and communication convergence engineering
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    • v.19 no.1
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    • pp.29-35
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    • 2021
  • While the population of pet dogs and pet-related markets are increasing, there is no convenient and reliable tool for pet health monitoring for pet owners/caregivers. In this paper, we propose a mobile platform-based pre-diagnosis system that pet owners can use for pre-diagnosis and obtaining information on coping strategies based on their observations of the pet dog's abnormal behavior. The proposed system constructs symptom-disease association databases for 100 frequently observed diseases under veterinarian guidance. Then, we apply the possibilistic fuzzy C-means algorithm to form the "probable disease" set and the "doubtable disease" set from the database. In the experiment, we found that the proposed system found almost all diseases correctly, with an average of 4.5 input symptoms and outputs 1.5 probable and one doubtable disease on average. The utility of this system is to alert the owner's attention to the pet dog's abnormal behavior and obtain an appropriate coping strategy before consult a veterinarian.