The Kamal Ewida Earth Observatory: A NATO supported real-time remote sensing receiving station being established in Egypt with HPC-enabled near-real-time data products for mitigation of environmental & public health disasters

2009 ◽  
Author(s):  
Gilbert Rochon ◽  
Magdy Abdel Wahab ◽  
Gamal Salah El Afandi ◽  
Gulay Altay ◽  
Okan Ersoy ◽  
...  
Keyword(s):  
Public Health ◽  
Remote Sensing ◽  
Real Time ◽  
Time Data ◽  
Environmental Public Health ◽  
Real Time Data ◽  
Data Products

SISCAL project: establishing an internet-based delivery of near-real-time data products on coastal areas and lakes from satellite imagery

2003 ◽  
Author(s):  
Frank Fell ◽  
Phelim Burgess ◽  
Alexander Gruenewald ◽  
Mia V. Meyer ◽  
Richard P. Santer ◽  
...  
Keyword(s):  
Real Time ◽  
Satellite Imagery ◽  
Coastal Areas ◽  
Time Data ◽  
Real Time Data ◽  
Data Products

scholarly journals Energy Efficient and Real-Time Remote Sensing in AI-Powered Drone

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bongjae Kim ◽  
Jinman Jung ◽  
Hong Min ◽  
Junyoung Heo
Keyword(s):  
Remote Sensing ◽  
Energy Consumption ◽  
Data Analysis ◽  
Real Time ◽  
Energy Efficient ◽  
Urban Areas ◽  
Computation Offloading ◽  
Time Constraints ◽  
Time Data ◽  
Real Time Data

Remote sensing using drones has the advantage of being able to quickly monitor large areas such as rivers, oceans, mountains, and urban areas. In the case of applications dealing with large sensing data, it is not possible to send data from a drone to the server online, so it must be copied to the server offline after the end of the flight. However, online transmission is essential for applications that require real-time data analysis. The existing computation offloading scheme enables online transmission by processing large amounts of data in a drone and transferring it to the server, but without consideration for real-time constraints. We propose a novel computation offloading scheme which considers real-time constraints while minimizing the energy consumption of drones. Experimental results showed that the proposed scheme satisfied real-time constraints compared to the existing computation offloading scheme. Furthermore, the proposed technique showed that real-time constraints were satisfied even in situations where delays occurred on the server due to the processing of requests from multiple drones.

scholarly journals Surveillance on speed: Being aware of infectious diseases in migrants mass accommodations - an easy and flexible toolkit for field application of syndromic surveillance, Germany, 2016 to 2017

2018 ◽  
Vol 23 (40) ◽  
Author(s):  
Navina Sarma ◽  
Alexander Ullrich ◽  
Hendrik Wilking ◽  
Stéphane Ghozzi ◽  
Andreas K. Lindner ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Real Time ◽  
Syndromic Surveillance ◽  
Detection Algorithm ◽  
Time Data ◽  
Gastrointestinal Infections ◽  
Robert Koch Institute ◽  
Syndromic Surveillance System ◽  
Real Time Data

Europe received an increased number of migrants in 2015. Housing in inadequate mass accommodations (MA) made migrants prone to infectious disease outbreaks. In order to enhance awareness for infectious diseases (ID) and to detect clusters early, we developed and evaluated a syndromic surveillance system in three MA with medical centres in Berlin, Germany. Healthcare workers transferred daily data on 14 syndromes to the German public health institute (Robert Koch-Institute). Clusters of ID syndromes and single cases of outbreak-prone diseases produced a signal according to a simple aberration-detection algorithm that computes a statistical threshold above which a case count is considered unusually high. Between May 2016–April 2017, 9,364 syndromes were reported; 2,717 (29%) were ID, of those 2,017 (74%) were respiratory infections, 262 (10%) skin parasites, 181 (7%) gastrointestinal infections. The system produced 204 signals, no major outbreak was detected. The surveillance reinforced awareness for public health aspects of ID. It provided real-time data on migrants' health and stressed the burden of non-communicable diseases. The tool is available online and was evaluated as being feasible and flexible. It complements traditional notification systems. We recommend its usage especially when laboratory testing is not available and real-time data are needed.

scholarly journals Development of a Process and Infrastructure to Outreach Stakeholders for Capturing Healthcare System Stress in Emergency Response Situations

2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Taylor Read ◽  
Elizabeth White ◽  
J Perren Cobb ◽  
Perry Mar ◽  
Mahesh Shanmugam ◽  
...  
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Real Time ◽  
Healthcare System ◽  
Public Health Emergency ◽  
Time Data ◽  
National Network ◽  
Blind Review ◽  
Geographical Regions ◽  
Real Time Data

Real time data provided by frontline clinicians could be used to direct immediate resources during a public health emergency and inform increased preparedness for future events.  The [group name removed for blind review], a group of expert critical care and emergency medicine physicians at various academic medical centers across the US, aims to enhance the national capability of rapid electronic data collection, along with analysis and dissemination of findings. To achieve these aims, [group name removed for blind review] created a process for real-time data capture that relies on a curated and engaged network of clinical providers from various geographical regions to respond to short online “Pulse” queries about healthcare system stress. During a period of three years, five queries were created and distributed. The first two queries were used to develop and validate the data collection infrastructure.Results are reported for the last three queries between June 2015 and March 2016. Response rates consistently ranged from 39% to 42%. Our team demonstrated that our system and processes were ready for creation and rapid dissemination of episodic queries for rapid data collection, transmittal, and analysis through a curated national network of clinician responders during a public health emergency. [group name removed for blind review] aims to further increase the response rate through additional engagement efforts within the network, to continue to grow the clinician responder database, and to optimize additional query content. 

scholarly journals COVID-19 epidemic modelling and the effect of public health interventions in India- SEIQHRF model

2020 ◽  
Author(s):  
Pooja Sengupta ◽  
Bhaswati Ganguli ◽  
Aditya Chatterjee ◽  
Sugata SenRoy ◽  
Moumita Chatterjee
Keyword(s):  
Public Health ◽  
Real Time ◽  
Intervention Strategies ◽  
Health Interventions ◽  
Epidemic Modeling ◽  
Time Data ◽  
Public Health Interventions ◽  
Indian States ◽  
Epidemic Modelling ◽  
Real Time Data

A dynamic epidemic modeling, based on real time data, of COVID19 has been attempted for India and few selected Indian states . Various scenarios of intervention strategies to contain the spread of the disease are explored.

scholarly journals Measuring the Impact of Monitoring: How We Know Transparent Near-Real-Time Data Can Help Save the Forests

2022 ◽  
pp. 263-273
Author(s):  
Katherine Shea
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
Open Data ◽  
Remote Sensing Data ◽  
Forest Change ◽  
Time Data ◽  
Qualitative Approaches ◽  
Real Time Data ◽  
Greater Good ◽  
The Impact

AbstractGlobal Forest Watch (GFW) is an online platform that distills satellite imagery into near-real-time forest change information that anyone can access and act on. Like other open-data platforms, GFW is based on the idea that transparent, publicly available data can support the greater good—in this case, reducing deforestation. By its very nature, the use of freely available data can be difficult to track and its impact difficult to measure. This chapter explores four approaches for measuring the reach and impact of GFW, including quantitative and qualitative approaches for monitoring outcomes and measuring impact. The recommendations can be applied to other transparency initiatives, especially those providing remote-sensing data.

Assimilation of near-real time data products into models of an urban basin

2018 ◽  
Vol 563 ◽  
pp. 51-64 ◽  
Author(s):  
James M. Leach ◽  
Kurt C. Kornelsen ◽  
Paulin Coulibaly
Keyword(s):  
Real Time ◽  
Time Data ◽  
Real Time Data ◽  
Data Products
Sign in / Sign up

Export Citation Format

Share Document