Big Data Monitoring System Design and Implementation of Invasive Alien Plants Based on WSNs and WebGIS

2017 ◽  
Vol 97 (3) ◽  
pp. 4251-4263 ◽  
Author(s):  
Shi Shen ◽  
Zuorui Shen ◽  
Ming Zhao
Keyword(s):  
Big Data ◽  
System Design ◽  
Monitoring System ◽  
Alien Plants ◽  
Data Monitoring ◽  
Invasive Alien Plants ◽  
Design And Implementation

River Water Quality Robot Embedded with Real-Time Monitoring System: Design and Implementation

2021 ◽  
Author(s):  
Mohd Amirul Aizad M. Shahrani ◽  
Safaa Najah Saud Al-Humairi ◽  
Nurul Shahira Mohammad Puad ◽  
Muhammad Asyraf Zulkipli
Keyword(s):  
Water Quality ◽  
System Design ◽  
Real Time ◽  
River Water ◽  
Monitoring System ◽  
River Water Quality ◽  
Real Time Monitoring ◽  
Design And Implementation

scholarly journals Production monitoring system design and implementation

2018 ◽  
Vol 67 (1) ◽  
pp. 10 ◽  
Author(s):  
T Eiskop ◽  
A Snatkin ◽  
K Karjust ◽  
E Tungel
Keyword(s):  
System Design ◽  
Monitoring System ◽  
Design And Implementation ◽  
Production Monitoring

scholarly journals Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science

2018 ◽  
Vol 25 (2) ◽  
pp. 126-131 ◽  
Author(s):  
Philip J. Scott ◽  
Rachel Dunscombe ◽  
David Evans ◽  
Mome Mukherjee ◽  
Jeremy C. Wyatt
Keyword(s):  
Big Data ◽  
System Design ◽  
Data Science ◽  
Digital Health ◽  
Evidence Base ◽  
Clinical Informatics ◽  
Two Cultures ◽  
Design And Implementation ◽  
The Two Cultures ◽  
The Uk

BackgroundUK health research policy and plans for population health management are predicated upon transformative knowledge discovery from operational ‘Big Data’. Learning health systems require not only data, but feedback loops of knowledge into changed practice. This depends on knowledge management and application, which in turn depends upon effective system design and implementation. Biomedical informatics is the interdisciplinary field at the intersection of health science, social science and information science and technology that spans this entire scope.IssuesIn the UK, the separate worlds of health data science (bioinformatics, ‘Big Data’) and effective healthcare system design and implementation (clinical informatics, ‘Digital Health’) have operated as ‘two cultures’. Much National Health Service and social care data is of very poor quality. Substantial research funding is wasted on ‘data cleansing’ or by producing very weak evidence. There is not yet a sufficiently powerful professional community or evidence base of best practice to influence the practitioner community or the digital health industry.RecommendationThe UK needs increased clinical informatics research and education capacity and capability at much greater scale and ambition to be able to meet policy expectations, address the fundamental gaps in the discipline’s evidence base and mitigate the absence of regulation. Independent evaluation of digital health interventions should be the norm, not the exception.ConclusionsPolicy makers and research funders need to acknowledge the existing gap between the ‘two cultures’ and recognise that the full social and economic benefits of digital health and data science can only be realised by accepting the interdisciplinary nature of biomedical informatics and supporting a significant expansion of clinical informatics capacity and capability.

A WBAN-based Real-time Electroencephalogram Monitoring System: Design and Implementation

2009 ◽  
Vol 34 (3) ◽  
pp. 303-311 ◽  
Author(s):  
Haifeng Chen ◽  
Wanqing Wu ◽  
Jungtae Lee
Keyword(s):  
System Design ◽  
Real Time ◽  
Monitoring System ◽  
Design And Implementation
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