RTView 1.0: a new software for High Rate GNSS data analysis and visualization in Real Time

2020 ◽  
Author(s):  
Francesco Pandolfo ◽  
Mario Mattia ◽  
Massimo Rossi ◽  
Valentina Bruno
Keyword(s):  
Open Source ◽  
Real Time ◽  
Web Application ◽  
Software Tool ◽  
High Rate ◽  
Display Time ◽  
North East ◽  
The North ◽  
Displacement Vectors ◽  
Gnss Data

<p>Volcano ground deformations needs hardware and software tools of high complexity related to the processing of raw GNSS data, filtering of outliers and spikes and clear visualization of displacements occurring in real time. In this project we developed a web application for high rate real time signals visualization from permanent GNSS  remote stations managed by INGV OE (Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo). Currently the new software tool is able to import GNSS data processed by some of the most important high rate real time software like GeoRTD® (owned by Geodetics), GNSS Spider® (Owned by Leica Geosystems) and RTKlib. The tool is based on the Grafana open source platform and InfluxDB open source database. Various dashboards have been configured to display time series of the North-East-Up coordinates to monitor single stations, to compare signals coming from different data sources and to display the displacement vectors on the map. We also applied a simple alghoritm for the detection of abnormal variations due to impending volcanic activity.This web interface is applied to different active Italian volcanoes as Etna (Sicily), Stromboli (Aeolian Islands) and Phlegrean Fields (Naples). We tested the performance of this software using as a case study the 24th December 2018 dike intrusion on the Etna volcano.</p>

Prospects of Open Source Software for Maximizing the User Expectations in Heterogeneous Network

2021 ◽  
pp. 257-271
Author(s):  
Pushpa Singh ◽  
Rajeev Agrawal
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Research Work ◽  
Software Tool ◽  
Knn Classifier ◽  
User Expectations

This article focuses on the prospects of open source software and tools for maximizing the user expectations in heterogeneous networks. The open source software Python is used as a software tool in this research work for implementing machine learning technique for the categorization of the types of user in a heterogeneous network (HN). The KNN classifier available in Python defines the type of user category in real time to predict the available users in a particular category for maximizing profit for a business organization.

scholarly journals Video consultations in ordinary and extraordinary times

2020 ◽  
Vol 20 (5) ◽  
pp. 396-403 ◽  
Author(s):  
Callum Duncan ◽  
Angus D Macleod
Keyword(s):  
Real Time ◽  
Video Conferencing ◽  
The Internet ◽  
Camera Control ◽  
North East ◽  
The North ◽  
Standard Part ◽  
Long Time ◽  
Video Calling

Tele-neurology is a neurological consultation at a distance, or not in person, using various technologies to achieve connectivity, including the telephone and the internet. The telephone is ubiquitous and is a standard part of how we manage patients. Video consulting has been used for a long time in some centres, particularly in those where the geography means that patients have to travel long distances. Various technologies can be used, and with the development of various internet-based video-calling platforms, real-time video consulting has become much more accessible. We have provided a tele-neurology service in the North East of Scotland since 2006 using video conferencing with far-end camera control. More recently, we have complemented this using an internet-based platform (NHS Near Me). Here we outline the practicalities of video consulting in ‘ordinary’ times and comment on its use in the ‘extraordinary’ times of the coronavirus pandemic.

scholarly journals Determining spatio-temporal characteristics of coseismic travelling ionospheric disturbances (CTID) in near real-time

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Boris Maletckii ◽  
Elvira Astafyeva
Keyword(s):  
Real Time ◽  
Tohoku Earthquake ◽  
Propagation Speed ◽  
High Rate ◽  
Ionospheric Disturbances ◽  
Temporal Characteristics ◽  
Travelling Ionospheric Disturbances ◽  
Spatio Temporal ◽  
Gnss Data ◽  
First Time

AbstractEarthquakes are known to generate ionospheric disturbances that are commonly referred to as co-seismic travelling ionospheric disturbances (CTID). In this work, for the first time, we present a novel method that enables to automatically detect CTID in ionospheric GNSS-data, and to determine their spatio-temporal characteristics (velocity and azimuth of propagation) in near-real time (NRT), i.e., less than 15 min after an earthquake. The obtained instantaneous velocities allow us to understand the evolution of CTID and to estimate the location of the CTID source in NRT. Furthermore, also for the first time, we developed a concept of real-time travel-time diagrams that aid to verify the correlation with the source and to estimate additionally the propagation speed of the observed CTID. We apply our methods to the Mw7.4 Sanriku earthquake of 09/03/2011 and the Mw9.0 Tohoku earthquake of 11/03/2011, and we make a NRT analysis of the dynamics of CTID driven by these seismic events. We show that the best results are achieved with high-rate 1 Hz data. While the first tests are made on CTID, our method is also applicable for detection and determining of spatio-temporal characteristics of other travelling ionospheric disturbances that often occur in the ionosphere driven by many geophysical phenomena.

scholarly journals High rate of hepatitis C reinfection following antiviral treatment in the North East England Prisons

2019 ◽  
Vol 27 (4) ◽  
pp. 449-452 ◽  
Author(s):  
Rajan Bhandari ◽  
Sarah Morey ◽  
Abi Hamoodi ◽  
Craig Thompson ◽  
Dee Jones ◽  
...  
Keyword(s):  
Hepatitis C ◽  
Antiviral Treatment ◽  
High Rate ◽  
North East ◽  
The North ◽  
Hepatitis C Reinfection

scholarly journals Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline

Geosciences ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 226 ◽  
Author(s):  
Daniel Giles ◽  
Brian McConnell ◽  
Frédéric Dias
Keyword(s):  
Real Time ◽  
Initial Conditions ◽  
Multiple Sources ◽  
Case Scenario ◽  
Worst Case ◽  
Arrival Times ◽  
Tsunami Waves ◽  
North East ◽  
The North ◽  
Run Up

Tsunamis are infrequent events that have the potential to be extremely destructive. The last major tsunami to effect the Irish coastline was the Lisbon 1755 event. That event acts as a candidate worst case scenario for hazard assessment and the impacts on the Irish Coastline are presented here. As there is no general consensus on the 1755 earthquake source, multiple sources highlighted in the literature are investigated. These sources are used to generate the initial conditions and the resultant tsunami waves are simulated with the massively parallelised Volna-OP2 finite volume tsunami code. The hazard associated with the event is captured on three gradated levels. A reduced faster than real time tsunami ensemble is produced for the North-East Atlantic on a regional level in 93 s using two Nvidia V100 GPUs. By identifying the most vulnerable sections of the Irish coastline from this regional forecast, some locally refined simulations are further carried out in a faster than real time setting. As arrival times on the coastline can be on the O (mins), these faster than real time reduced ensembles are of great benefit for tsunami warning. Volna-OP2’s capabilities in this respect are clearly demonstrated here. Finally, high resolution inundation simulations, which build upon the ensemble results, are carried out. To date this study provides the best estimate of assessing the hazard associated with a Lisbon-type tsunami event for the Irish coastline. The results of the inundation mapping highlight that along the vulnerable sections of coastline, inundation is constrained to low-lying areas with maximum run-up heights of 3.4 m being found.

scholarly journals UltraViolet SANitizing System for Sterilization of Ambulances Fleets and for Real-Time Monitoring of Their Sterilization Level

2021 ◽  
Vol 19 (1) ◽  
pp. 331
Author(s):  
Zuleika Michelini ◽  
Chiara Mazzei ◽  
Fabio Magurano ◽  
Melissa Baggieri ◽  
Antonella Marchi ◽  
...  
Keyword(s):  
Real Time ◽  
Web Application ◽  
Satellite Communication ◽  
Virus Titer ◽  
Threshold Value ◽  
Communication Link ◽  
Drug Resistant ◽  
Potential Threat ◽  
Pathogenic Agents ◽  
Gnss Data

Background: The contamination of ambulances with pathogenic agents represents a potential threat for the public health, not only for common pathogens but also for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The aim of this project was to exploits the germicidal effect of the UVC radiation at 254 nm to sanitize the patient’s compartment of ambulances with an advanced UltraViolet SANitizing System (UV-SAN) and assess its relevance for avoiding the spread of COVID-19 and other drug resistant pathogens. Methods: The system is equipped with UVC lamps that are activated when the ambulance compartment is empty and sanitize the environment in less than 15 min. An Ozone sensor continuously monitors the gas concentration, ensuring it does not exceed threshold value harmful for patients and operators’ health. The system is relying on GNSS data and a satellite communication link, which allow to monitor and record traceability (when, where and what) of all the sanitation operations performed. This information is real-time monitored from a dedicated web-application. Results: UVC irradiation efficiently reduced SARS-CoV-2 virus titer (>99.99%), on inanimate surfaces such as plastic, stainless steel or rubber, with doses ranging from 5.5 to 24.8 mJ/cm2 and the UV-SAN system is effective against multi drug resistant (MDR) bacteria up to >99.99%, after 10 to 30 min of irradiation. Conclusions: UV-SAN can provide rapid, efficient and sustainable sanitization procedures of ambulances.

scholarly journals Open Source Web Platform for the Analysis of Academic Spin-offs

2018 ◽  
Vol 4 (2) ◽  
pp. 73
Author(s):  
Fernando Almeida ◽  
Eugénio Cunha
Keyword(s):  
Open Source ◽  
Real Time ◽  
Web Application ◽  
Financial Data ◽  
Academic Environment ◽  
Science Parks ◽  
Multiple Dimensions ◽  
Corporate Actions ◽  
Web Platform ◽  
New Jobs

Universities have assumed an increasingly important role in transferring technology to society with a strong economic impact. The companies originated from the academic environment, called academic spin-offs, have fostered the appearance of new projects based on emerging technologies and knowledge, created by young students and researchers who seek to launch their own business and generate new jobs in society. However, the number of existing studies on academic spin-offs is limited and restricted to the specific national realities, and the results of these studies are typically incorporated only in scientific manuscripts. In this sense, this study proposes a web platform that allows the analysis of academic spin-offs according to multiple dimensions, such as firm, institutions, individual, localization, science parks, financial data and corporate actions. The application is built exclusively in open source technologies and allows data to be explored in real-time and interactively. The results obtained allow us to evaluate the behavior of the application regarding fundamental elements in the success of the adoption of a Web application, such as usability, security, interoperability and portability.

scholarly journals Design and Implementation of Reliability Analysis Tool using Real Time Data

2019 ◽  
Vol 8 (12) ◽  
pp. 3210-3213
Keyword(s):  
Real Time ◽  
Software Reliability ◽  
Web Application ◽  
Research Work ◽  
Software Tool ◽  
Security Level ◽  
Data Sets ◽  
Analysis Tool ◽  
Time Data ◽  
Design And Testing

To estimate the reliability of software numerous statistical methods are in practice. To accomplish the software reliability prediction in more accurate way there is a huge demand for data sets. The data sets that can be acquired as a result of testing the software can be used for predicting the reliability. The research work focuses on creating a layer of software design and testing method namely web software testing. The main purpose is to collect the erroneous data from real time. The reliability of software can be measured in different aspects like traffic handling capability when there are a greater number of users, the security level for cracking the passwords and the possibility of different combinations of errors that occurs when inputting the data. This proposed software tool will read the software description, and will generate test patterns according to the input types and collects testing results, predicting the software reliability in real time and suggesting the possible ways to improve the software. For designing purpose PHP for web application will be used to give the testing results.

EP10 The impact of introducing real time feedback on ventilation rate and volume by ambulance clinicians in the North East in a simulated cardiac arrest scenario: the VANZ study

2021 ◽  
Vol 38 (9) ◽  
pp. A5.2-A5
Author(s):  
Graham McClelland ◽  
Karl Charlton ◽  
Karen Millican ◽  
Daniel Haworth ◽  
Paul Aitken-Fell ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Real Time ◽  
Primary Outcome ◽  
Intrathoracic Pressure ◽  
Ventilation Rate ◽  
Future Research ◽  
North East ◽  
Cerebral Vasoconstriction ◽  
The North ◽  
The Impact

BackgroundAdequate ventilation is an important aspect of cardiopulmonary resuscitation (CPR). Research suggests 80% of caregivers hyperventilate during CPR and that feedback improves compliance with ventilation guidelines. Hyperventilation is associated with increased intrathoracic pressure, impaired haemodynamics and cerebral vasoconstriction and therefore can be deleterious to survival. VANZ aimed to determine if compliance with European Resuscitation Council (ERC) ventilation guidelines could be improved using a real time ventilation feedback deviceMethodsParticipants simulated a two-minute cardiac arrest scenario using a manikin and defibrillator without ventilation feedback. Researchers demonstrated the ventilation feedback device and participants practiced using it. The two-minute scenario was then repeated with ventilation feedback. The ventilation rate, volume and CPR quality were recorded during each scenario. The primary outcome was based on achieving ≥50% compliance with ERC ventilation guidelines of ventilating at 8-12 breaths per minute and 500-600ml per breath. Following the study participants were asked to complete a short survey on the ventilation feedback deviceResultsDuring September 2020 106 participants (58% male, mean age 42, 74% paramedics) completed the study. The primary outcome showed a significant improvement from 9% of participants achieving ≥50% compliance without feedback to 91% of participants achieving ≥50% compliance with feedback (McNemars test p<0.0001). Survey data from participants was overwhelmingly positive about the ventilation feedback device.ConclusionsUse of real time ventilation feedback during CPR significantly improved participants ability to deliver ventilations compliant with ERC guidelines in a simulated scenario. The fact that this was a manikin study is a limitation but the low rate of compliance with ventilation guidelines without feedback raises questions about ventilation quality when CPR is performed on patients. Future research should examine the quality of ventilations performed on patients, the ability of feedback to improve compliance with guidelines and the impact this has on patient outcomes.

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