Long-term condition assessment of suspenders under traffic loads based on structural monitoring system: Application to the Tsing Ma Bridge

2010 ◽  
Vol 19 (1) ◽  
pp. 82-101 ◽  
Author(s):  
Shunlong Li ◽  
Songye Zhu ◽  
You-Lin Xu ◽  
Zhi-Wei Chen ◽  
Hui Li
Keyword(s):  
Monitoring System ◽  
System Application ◽  
Condition Assessment ◽  
Structural Monitoring ◽  
Term Condition ◽  
Traffic Loads ◽  
Tsing Ma Bridge

STRUCTURAL PERFORMANCE EVALUATION OF TSING MA BRIDGE DECK USING LONG-TERM MONITORING DATA

2008 ◽  
Vol 22 (11) ◽  
pp. 875-880 ◽  
Author(s):  
Y. Q. NI ◽  
H. W. XIA ◽  
J. M. KO
Keyword(s):  
Hong Kong ◽  
Performance Evaluation ◽  
Monitoring System ◽  
Measurement Data ◽  
Suspension Bridge ◽  
Monitoring Data ◽  
Structural Performance ◽  
Railway Traffic ◽  
Tsing Ma Bridge

The Tsing Ma Bridge in Hong Kong is suspension bridge with a main span of 1377 m carrying both highway and railway traffic. After completing its construction in 1997, the bridge was instrumented by the Hong Kong SAR Government Highways Department with a long-term structural health monitoring system comprising about 300 sensors permanently installed on the bridge. As part of this monitoring system, a total of 110 strain gauges have been installed to measure strain at the deck cross-sections and bearings. In this study, a method for real-time structural performance evaluation of the stiffening deck system making use of long-term strain measurement data is proposed and verified using the strain monitoring data from a typical deck cross-section of the Tsing Ma Bridge.

966-P: The Long-Term Impact of a Flash Glucose Monitoring System on Glycemic Control

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 966-P
Author(s):  
ATSUSHI FUJIYA ◽  
TOSHIKI KIYOSE ◽  
TAIGA SHIBATA ◽  
HIROSHI SOBAJIMA
Keyword(s):  
Glycemic Control ◽  
Monitoring System ◽  
Glucose Monitoring ◽  
Flash Glucose Monitoring ◽  
Long Term Impact ◽  
Flash Glucose Monitoring System

scholarly journals Health of mothers of children with a life-limiting condition: a comparative cohort study

2021 ◽  
pp. archdischild-2020-320655
Author(s):  
Lorna K Fraser ◽  
Fliss EM Murtagh ◽  
Jan Aldridge ◽  
Trevor Sheldon ◽  
Simon Gilbody ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Secondary Care ◽  
Incidence Rates ◽  
Health Conditions ◽  
Clinical Practice Research Datalink ◽  
Physical And Mental Health ◽  
Term Condition ◽  
Limiting Condition

ObjectiveThis study aimed to quantify the incidence rates of common mental and physical health conditions in mothers of children with a life-limiting condition.MethodsComparative national longitudinal cohort study using linked primary and secondary care data from the Clinical Practice Research Datalink in England. Maternal–child dyads were identified in these data. Maternal physical and mental health outcomes were identified in the primary and secondary care datasets using previously developed diagnostic coding frameworks. Incidence rates of the outcomes were modelled using Poisson regression, adjusting for deprivation, ethnicity and age and accounting for time at risk.ResultsA total of 35 683 mothers; 8950 had a child with a life-limiting condition, 8868 had a child with a chronic condition and 17 865 had a child with no long-term condition.The adjusted incidence rates of all of the physical and mental health conditions were significantly higher in the mothers of children with a life-limiting condition when compared with those mothers with a child with no long-term condition (eg, depression: incidence rate ratio (IRR) 1.21, 95% CI 1.13 to 1.30; cardiovascular disease: IRR 1.73, 95% CI 1.27 to 2.36; death in mothers: IRR 1.59, 95% CI 1.16 to 2.18).ConclusionThis study clearly demonstrates the higher incidence rates of common and serious physical and mental health problems and death in mothers of children with a life-limiting condition. Further research is required to understand how best to support these mothers, but healthcare providers should consider how they can target this population to provide preventative and treatment services.

scholarly journals Wearable Wireless Physiological Monitoring System Based on Multi-Sensor

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 986
Author(s):  
Hongru Li ◽  
Guiling Sun ◽  
Yue Li ◽  
Runzhuo Yang
Keyword(s):  
Monitoring System ◽  
Health Management ◽  
Wearable Technology ◽  
Physiological Monitoring ◽  
Motion Data ◽  
Low Load ◽  
Measure Heart Rate ◽  
Body Surface Temperature ◽  
Continuous Work

The purpose of wearable technology is to use multimedia, sensors, and wireless communication to integrate specific technology into user clothes or accessories. With the help of various sensors, the physiological monitoring system can collect, process, and transmit physiological signals without causing damage. Wearable technology has been widely used in patient monitoring and people’s health management because of its low-load, mobile, and easy-to-use characteristics, and it supports long-term continuous work and can carry out wireless transmissions. In this paper, we established a Wi-Fi-based physiological monitoring system that can accurately measure heart rate, body surface temperature, and motion data and can quickly detect and alert the user about abnormal heart rates.

scholarly journals Assessing the Capacity of Adaptive Policy Pathways to Adapt on Time by Mapping Trigger Values to Their Outcomes

2019 ◽  
Vol 11 (6) ◽  
pp. 1716 ◽  
Author(s):  
Luciano Raso ◽  
Jan Kwakkel ◽  
Jos Timmermans
Keyword(s):  
Monitoring System ◽  
Decision Makers ◽  
Level Of Confidence ◽  
Adaptive Policy ◽  
Misclassification Errors ◽  
The Future ◽  
Adaptive Action ◽  
The Face

Climate change raises serious concerns for policymakers that want to ensure the success of long-term policies. To guarantee satisfactory decisions in the face of deep uncertainties, adaptive policy pathways might be used. Adaptive policy pathways are designed to take actions according to how the future will actually unfold. In adaptive pathways, a monitoring system collects the evidence required for activating the next adaptive action. This monitoring system is made of signposts and triggers. Signposts are indicators that track the performance of the pathway. When signposts reach pre-specified trigger values, the next action on the pathway is implemented. The effectiveness of the monitoring system is pivotal to the success of adaptive policy pathways, therefore the decision-makers would like to have sufficient confidence about the future capacity to adapt on time. “On time” means activating the next action on a pathway neither so early that it incurs unnecessary costs, nor so late that it incurs avoidable damages. In this paper, we show how mapping the relations between triggers and the probability of misclassification errors inform the level of confidence that a monitoring system for adaptive policy pathways can provide. Specifically, we present the “trigger-probability” mapping and the “trigger-consequences” mappings. The former mapping displays the interplay between trigger values for a given signpost and the level of confidence regarding whether change occurs and adaptation is needed. The latter mapping displays the interplay between trigger values for a given signpost and the consequences of misclassification errors for both adapting the policy or not. In a case study, we illustrate how these mappings can be used to test the effectiveness of a monitoring system, and how they can be integrated into the process of designing an adaptive policy.

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