• Title/Summary/Keyword: Health and Usage Monitoring System

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Implementation of Sensor-embedded Main Wing Model for Structural Health Monitoring of the Ultra Light Airplane (초경량항공기의 구조적 안전진단을 위한 센서 매립형 주익 모델 제작)

  • Song, Jae-Hoon;Yang, Jae-Won;Rim, Mi-Sun;Kim, Yoon-Young;Park, Hoon;Seok, Jong-Nak;Kim, Chun-Gon;Choi, Sun-Woo;Lee, Jang-Yeon
    • Aerospace Engineering and Technology
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    • v.11 no.1
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    • pp.178-184
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    • 2012
  • In this study, implementation process of sensor-embedded main wing model for structural health monitoring is described. Fiber Bragg Grating (FBG) Sensor, Plumbum-Zirconate-Titanate (PZT) Sensor, and strain gauge are installed in the main wing of Jabiru UL airplane as a test-bed of Health and Usage Monitoring System (HUMS).

R&D Trend of Airplane Health and Usage Monitoring System (항공기용 실시간 안전진단시스템 (HUMS) 연구개발 동향)

  • Song, Jae-Hoon;Lee, Hye-Won;Park, Hoon;Suk, Jong-Nak;Choi, Sun-Woo;Lee, Jang-Yeon
    • Current Industrial and Technological Trends in Aerospace
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    • v.8 no.2
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    • pp.105-112
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    • 2010
  • Aircraft accidents are characterized by substantial and extensive damage: the destruction of hulls and the fatalities of passengers. Health and Usage Monitoring Systems (HUMSs) are being developed as a technological approach to prevent the aircraft accident. In Korea, a project to develop HUMS for small airplane is being executed by funding of by Ministry of Land, Transport and Maritime Affairs. In this paper, global R&D trends of HUMS to prevent aircraft accident are described. An on-going Korean HUMS project is also explained, especially for system configuration, functionality and expected achievement.

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Needs and Perceptions with Smart Technology Usage in the Elderly Care Facilities

  • Lee, Sun-Hyung;Lim, Choon-Hee;Lee, Seunghae
    • International Journal of Contents
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    • v.11 no.4
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    • pp.25-30
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    • 2015
  • The objective of this study is to identify the current state of usage and needs for Smart Technology (ST) in the elderly care facilities based on the point of view of staff members. Using survey via mails, data were analyzed with responses from top- or middle-level staff members working in 171 elderly care facilities located in Seoul, Gyeonggi-do, and Chungcheongnam-do. Results indicated that the most needed smart technology was home automation, followed by nurse call system and health monitoring. The technology with the highest feasibility was health monitoring, followed by nurse call system and video phone. Staff members in higher positions working in the elderly care facilities had the highest expectation in improving the image of their facilities by using ST, while they had low expectation for the fact that ST may increase the locus of control of the elderly. This study implies that ST implementations may vary depending on the level of responsibility of staff members and ST how people responsible for the elderly care facilities subjectively perceive the ST.

Review of Internet of Things-Based Artificial Intelligence Analysis Method through Real-Time Indoor Air Quality and Health Effect Monitoring: Focusing on Indoor Air Pollution That Are Harmful to the Respiratory Organ

  • Eunmi Mun;Jaehyuk Cho
    • Tuberculosis and Respiratory Diseases
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    • v.86 no.1
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    • pp.23-32
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    • 2023
  • Everyone is aware that air and environmental pollutants are harmful to health. Among them, indoor air quality directly affects physical health, such as respiratory rather than outdoor air. However, studies that have examined the correlation between environmental and health information have been conducted with public data targeting large cohorts, and studies with real-time data analysis are insufficient. Therefore, this research explores the research with an indoor air quality monitoring (AQM) system based on developing environmental detection sensors and the internet of things to collect, monitor, and analyze environmental and health data from various data sources in real-time. It explores the usage of wearable devices for health monitoring systems. In addition, the availability of big data and artificial intelligence analysis and prediction has increased, investigating algorithmic studies for accurate prediction of hazardous environments and health impacts. Regarding health effects, techniques to prevent respiratory and related diseases were reviewed.

Enhancement of Internet of Things (IOT) for Minimizing the Growth Rate of Disease and Cost Reduction

  • SYED ROMAT ALI SHAH;ALI ZAIB KHAN;SOHAIL ANWAR;MUNIB AHMAD
    • International Journal of Computer Science & Network Security
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    • v.24 no.7
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    • pp.202-206
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    • 2024
  • Health Related issues has become a savior diseases as growing rapidly they also causing savior issues if they not cure they lead to even death. Fatal Diseases needed to be controlled at early stages to save the patient lives. The Knowledge related to the disease is also important so that it may be cure as soon as possible and also medicine for the illness is also needed to be supplied immediately so that it can be controlled. Some patients also need a continuous monitoring like aged and someone suffering to some fatal disease .IOT based monitoring system with the application of the Raspberry pi and the usage of the Local Area Network to connect the Doctors, Hospital, and Ambulance service also the pharmacy help to start the treatment of the patient effectively. Also acknowledging the doctors and hospital staff will help to save the life of the patient due to knowledge of the disease. Usage such smart and reliable technology will help to monitor the health condition of the patient at home and also connecting with the doctors through the internet will also acknowledge the doctor about the present condition of the patient. This paper presents the effective use of the smart devices and technology to overcome the disease by using such cost effective technology.

Development of device for cat healthcare monitoring using Smartphone

  • Nam, Heung Sik;Lee, Moon Joo;Kim, Geon A
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.11
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    • pp.157-163
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    • 2022
  • In this paper, we propose to develop a Bluetooth Health Device Profile (HDP)-based smartphone system to utilize it for early detection of urinary tracts diseases that occur a lot in cats. Therefore, based on Bluetooth HDP, we developed a device and mobile application system (Mycatner®) that can monitor cat activity, toilet usage, urinary disease, and health status, and evaluated its availability to monitor cat health status. The specific feature of this system is that it can measure the number of cat urination frequencies to identify abnormal conditions suspected of urinary tract diseases early, and second, it can be tested with urine test paper and shared with animal hospitals, reducing time and cost. As a result, it is evaluated that the developed device capable of wireless monitoring the urinary system health status of cats is the first in our knowledge.

Vibration Health Monitoring of Helicopter Transmission Systems at Westland Helicopter Ltd.

  • Kang, Chung-Shin;Choi, Sun-Woo;Ahn, Seok-Min;Horsey, M.W;Stuckey, M.J
    • International Journal of Aeronautical and Space Sciences
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    • v.1 no.1
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    • pp.48-61
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    • 2000
  • Korea Aerospace Research Institute (KARI) have gained experience with Helicopter Vibration Health Monitoring (VHM) System technology with the help of UK GKN-WHL. GKN-WHL have had many years of experience with the research and development of vibration analysis techniques to improve the health monitoring of helicopter transmissions. This activity was targeted at transmission rig testing at first, but the techniques have been progressively developed where they are now used as a part of integrated Health and Usage Monitoring (HUM) systems on many types of in-service and new helicopters. The technique development process has been considerably aided by an ever expanding database of transmission monitoring experience from both the rig testing and aircraft operations. This experience covers a wide range of failure types from naturally occurring faults to crack propagation studies and covering a wide range of transmission configurations. Primarily based on accelerometer signals GKN-WHL's vibration analysis methods have also been applied to a variety of other sensor types. The transition from an experimental environment to operational VHM systems has been a lengthy process, there being a need to demonstrate technique reliability as well as effectiveness to both regulatory (Airworthiness Authority) and commercial organizations. Another important feature of this process has been the development of close relationships with a number of VHM system hardware and software suppliers. Such an experienced GKN-WHL provides various raw vibration data which was acquired from transmission ground test rig and allow KARI to develop it's own analysis program. KARI made a program and then analyzed the data to coma pre with the results of GKN-WHL. The KARI's results both time domain signals and statistical values show comparable to GKN's.

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Acquisition of Multi-channel Biomedical Signals Based on Internet of Things (사물인터넷 기반의 다중채널 생체신호 측정)

  • Kim, Jeong-Hwan;Jeung, Gyeo-Wun;Lee, Jun-Woo;Kim, Kyeong-Seop
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.7
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    • pp.1252-1256
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    • 2016
  • Internet of Things(IoT)-devices are now expanding inter-connecting networking technologies to invent healthcare monitoring system especially for assessing physiological conditions of the chronically-ill patients those with cardiovascular diseases. Hence, IoT system is expected to be utilized for home healthcare by dedicating the original usage of IoT devices to collect the biomedical data such as electrocardiogram(ECG) and photoplethysmography(PPG) signal. The aim of this work is to implement health monitoring system by integrating IoT devices with Raspberry-pi components to measure and analyze ECG and the multi-channel PPG signals. The acquired data and fiducial features from our system can be transmitted to mobile devices via wireless networking technology to support the concept of tele-monitoring services based on IoT devices.

Brief history of Korean national forest inventory and academic usage

  • Park, Byung Bae;Han, Si Ho;Rahman, Afroja;Choi, Byeong Am;Im, Young Suk;Bang, Hong Seok;So, Soon Jin;Koo, Kyung Mo;Park, Dae Yeon;Kim, Se Bin;Shin, Man Yong
    • Korean Journal of Agricultural Science
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    • v.43 no.3
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    • pp.299-319
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    • 2016
  • The National Forest Inventory (NFI) is important for providing fundamental data for basic forest planning and the establishment of forest policies for the purpose of implementing sustainable forest management. The purpose of this study is to present the development of Korea's NFI including legal basis, sampling design, and measured variables and to review the usage of NFI data. The survey methods and forestry statistics among the Unites States, Canada, Japan, China, and European countries were briefly compared. Total 140 publications utilizing NFI data between 2008 and 2015 were categorized with 15 subjects. Korea has conducted the NFI 6 times since 1971, but only the $6^{th}$ NFI is comparable with the fifth, the previous NFI, because the permanent sampling plots have been shared between the periods. The Korean Forestry Statistics contains only half as many variables as that of advanced countries in Forestry. More researches were needed to improve consistent measurement of diverse variables through implementation of advanced technologies. Additional data for Forest Health Monitoring since the NFI $6^{th}$ must be under quality control which will be an essential part of the inventories for providing the chronological change of forest health.

LoRa LPWAN Sensor Network for Real-Time Monitoring and It's Control Method (실시간 모니터링을 위한 LoRa LPWAN 기반의 센서네트워크 시스템과 그 제어방법)

  • Kim, Jong-Hoon;Park, Won-Joo;Park, Jin-Oh;Park, Sang-Hyun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.6
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    • pp.359-366
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    • 2018
  • Social infrastructure facilities that have been under construction since the country's high-growth period are undergoing rapid aging, and safety assessments of large structures such as bridge tunnels, which can be directly linked to large-scale casualties in the event of an accident, are necessary. Wireless smart sensor networks that improve SHM(Structural Health Monitoring) based on existing wire sensors are difficult to construct economical and efficient system due to short signal reach. The LPWAN, Low Power Wide Area Network, is becoming popular with the Internet of Things and it is possible to construct economical and efficient SHM by applying it to structural health monitoring. This study examines the applicability of LoRa LPWAN to structural health monitoring and proposes a channel usage pre-planning based LoRa network operation method that can efficiently utilize bandwidth while resolving conflicts between channels caused by using license - exempt communication band.