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Opis: The Unmanned Systems Research Laboratory (USRL) of the Cyprus Institute is a new mobile exploratory platform of the EU Research Infrastructure Aerosol, Clouds and Trace Gases Research InfraStructure (ACTRIS). USRL offers exclusive Unmanned Aerial Vehicle (UAV)-sensor solutions that can be deployed anywhere in Europe and beyond, e.g., during intensive field campaigns through a transnational access scheme in compliance with the drone regulation set by the European Union Aviation Safety Agency (EASA) for the research, innovation, and training. UAV sensor systems play a growing role in the portfolio of Earth observation systems. They can provide cost-effective, spatial in-situ atmospheric observations which are complementary to stationary observation networks. They also have strong potential for calibrating and validating remote-sensing sensors and retrieval algorithms, mapping close-to-the-ground emission point sources and dispersion plumes, and evaluating the performance of atmospheric models. They can provide unique information relevant to the short- and long-range transport of gas and aerosol pollutants, radiative forcing, cloud properties, emission factors and a variety of atmospheric parameters. Since its establishment in 2015, USRL is participating in major international research projects dedicated to (1) the better understanding of aerosol-cloud interactions, (2) the profiling of aerosol optical properties in different atmospheric environments, (3) the vertical distribution of air pollutants in and above the planetary boundary layer, (4) the validation of Aeolus satellite dust products by utilizing novel UAV-balloon-sensor systems, and (5) the chemical characterization of ship and stack emissions. A comprehensive overview of the new UAV-sensor systems developed by USRL and their field deployments is presented here. This paper aims to illustrate the strong scientific potential of UAV-borne measurements in the atmospheric sciences and the need for their integration in Earth observation networks.
Ključne besede: landscape, proximity, still life, COVID-19, domesticity
Objavljeno v RUNG: 16.08.2021; Ogledov: 1732; Prenosov: 147
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Opis: A lot of new technological applications are emerging to combat the deadly novel coronavirus. This research study gives an overview of different applications that are developed by Government Institutions, Private Firms, and Individual Citizens across the world. The applications are reviewed based on their widespread use, effectiveness, availability to the broader audience, cost to implement it, concerns regarding the privacy and information collected by these apps and systems. The major eight areas of technology applications covered in this study are Contact Tracing, Social Distancing & Mask Detection, Live-feeds based Dashboards, Information Searching, Big Data and Robotics, Web-based Disease Surveillance Tools, Patient-level Information, Doctor-Patient interaction, and Informatory Chatbots. More than 100 apps were collected for this research survey to conclude the different categories in which technology is being used for decision making. This study will be useful for various health administrators, professionals, researchers, and academicians.
Ključne besede: COVID-19, coronavirus, technology applications, contact tracing, social distancing, chatbots, data lakes
Objavljeno v RUNG: 02.04.2021; Ogledov: 2266; Prenosov: 77
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Opis: The COVID-19 pandemic has become a major threat to the whole world. Analysis of this disease requires major attention by the government in all countries to take necessary steps in reducing the effect of this global pandemic. In this study, outbreak of this disease has been analysed and trained for Indian region till 10th May, 2020, and testing has been done for the number of cases for the next three weeks. Machine learning models such as SEIR model and Regression model have been used for predictions based on the data collected from the official portal of the Government of India in the time period of 30th January, 2020, to 10th May, 2020. The performance of the models was evaluated using RMSLE and achieved 1.52 for SEIR model and 1.75 for the regression model. The RMSLE error rate between SEIR model and Regression model was found to be 2.01. Also, the value of R0, which is the spread of the disease, was calculated to be 2.84. Expected cases are predicted around 175K--200K in the three-week time period of test data, which is very close to the actual numbers. This study will help the government and doctors in preparing their plans for the future.
Ključne besede: COVID-19, India, spread exposed infected recovered model, regression model, machine learning, predictions, forecasting
Objavljeno v RUNG: 01.04.2021; Ogledov: 2273; Prenosov: 83
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Ključne besede: riots, uprisings, covid and politics, art of riots
Objavljeno v RUNG: 05.01.2021; Ogledov: 2225; Prenosov: 0
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Opis: Preparation and communication are essential in times of crisis. I was motivated to choose this topic by recent events in the world caused by the COVID 19 virus, which has affected every sphere, from the economy to human relations. However, tough times can be an opportunity to set brands apart from their competition. It is important, though, that they use marketing as a tool to create empathy, as this is the principle of reciprocity. Only in this way they can gain their trust, keep them loyal to the brand and be connected to it. The thesis describes the importance of a well and properly prepared digital strategy that every company should have if a crisis were to occur again.
Ključne besede: Crisis, communication, COVID 19, strategy.
Objavljeno v RUNG: 18.11.2020; Ogledov: 3156; Prenosov: 148
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