Classification of COVID-19 Tweets

Classification is a vital work to human beings in day today life as it breaks down complex subjects. In the same way, text classification is very important to understand and realize the subject of the text. © 2021 Copyright for this paper by its authors.

Wavelet and modified VGG-16 deep learning to identify COVID-19 based on X-ray images

COVID-19 is caused by the SARS coronavirus 2 family (SARS-CoV-2). A quick antibody or antigen test can detect the presence of COVID-19, but further testing is needed to confirm a positive result. Radiologists use chest X-rays to diagnose chest diseases early. The proposed system integrates discrete wavelet transformation and deep learning to help radiologists categorise conditions. Wavelets break down images into multiple spatial resolutions depending on a high pass and low pass frequency components and efficiently extract characteristics from lung X-rays. Here, we use a hybrid wavelet-CNN model to diagnose lung X-rays. The proposed CNN model is trained and verified on different source COVID 19 chest X-ray images for binary and three classes. The proposed studies suggest significant improvement in outcomes, with the best parameters achieving 99.42% accuracy and 96.43% accuracy for binary and three classes. The depiction of feature maps shows that our suggested network collected features from the corona virus-affected lung properly. Results suggest that the proposed model is successful enough for COVID 19 diagnosis. © 2022 IEEE.

Break Down the limiting Walls - Rise Initiative

Communication is considered to be one of the major challenges that affects the individuals' and organization's development. The challenge has amplified with the sudden outbreak of the Covid-19 pandemic worldwide and the stringent directions put in place. Ultimately, "Rise" initiative strategy was formed to focus on People improvement through establishing sub-teams that enhance employee satisfaction, instill knowledge sharing, promote people development, enhance current processes and advance our division to Excellence. "Rise" is based on 'Zero-cost ideas' budgeting method and tangible contribution to Core Pillars of our company (People, Profitability and Sustainability). It consists of five cross-departmental teams named: Connect, Career Development, Process Optimization, Communities and Excellence. Each team has clear roles and responsibilities which led by young and self-driven engineers. "Rise" teams generated more than 30 activities that support our company diversified Operation as well as its employees. Diversification in this context includes skills, experiences and techniques to perform tasks. All "Rise" activities have shaped the way we communicate and strengthen connection within division employees, company units, and other stakeholders. It enhanced the concept of collaborative work and knowledge sharing that led to people development in technical and non-technical aspects, boast confidence among themselves and with their peers and superiors. Also, it provided them with opportunities on both personal and professional profile persistently. It is clear by all the activities taking place as part of Rise that people are being treated as the first priority. By creating a respectful, inclusive and engaging work environment the employees will seek to enhance and perform effectively. Copyright © 2022, Society of Petroleum Engineers.

Covid Connect: Chat-Driven Anonymous Story-Sharing for Peer Support

The mental-health impact of the Covid-19 pandemic and the related restrictions and isolation have been immense. In this paper, we present a system designed to break down loneliness and isolation, and to allow people to share their stories, complaints, emotions, and gratitude anonymously with one another. Using a chatbot interface to collect visitor stories, and a custom visualization to reveal related past comments from others, Covid Connect links people together through shared pandemic experiences. The collected data also serves to reflect the experiences of the community of participants during the third through fifth waves of the pandemic in the local region. We describe the Covid Connect system, and analyze the collected data for themes and patterns arising from stories shared with the chatbot. Finally, we reflect on the experience through an autobiographical lens, as users of our own system, and posit ideas for the application of similar approaches in other mental health domains. © 2022 ACM.

Development of a Low Cost and Raspberry-based Thermal Imaging System for Monitoring Human Body Temperature

Since 2020, COVID-19 had caused about millions of deaths and huge economic losses in the world. Taiwan had a successful story of preventing COVID-19 invasion. Unfortunately, COVID-19 broke down the preventing a couple of months ago. In addition, Taiwan doesn't have enough the vaccines to stop the COVID-19 spreading. This event really let Taiwan people to live painfully and inconveniently every day. However, it is really needed a system assist Taiwan people to prevent from the COVID-19 attack. According to this need, we attempt to develop a thermal imaging which is capable of detecting the people with fever. The price of thermal imaging system is usually very high. Most of companies or organizations can't afford it instead of a cheap forehead gun. Although forehead gun can precisely measure human body temperature, its inconvenient usage increases employees' loading. This paper presents the development of the low cost thermal imaging system. The system consists of PureThermal Mini/FLIR Lepton 3.5, Raspberry cam, and Raspberry pi 4. The PureThermal Mini is a thermal module with smart I/O. It has a FLIR Lepton3.5 thermal imager. The thermal imager can provide the system a thermal image with the resolution 160×120. Currently, its price is around 15,000NTD. The resolution of the thermal image is quite low. In order to fit the need of the system, an image resize algorithm is applied to create a large size of thermal image for further application. About Raspberry Cam, it is a regular cam which can be directly installed on Raspberry Pi. Its resolution is up to 2592×1944 and its cost is about 1,500NTD. Its image can supply the system to deal with Artificial Intelligence process, such as human facial recognition. Raspberry Pi 4 is the core controller of system. It contains our developed Python program which is used to handle all of system processes. 3D printing is also applied to build the structure frames of the system. The cost of the developed system is less than 20,000NTD. It is capable of detecting more than two people simultaneously and automatically. With the assistance of the system, companies or organizations can efficiently protect their employees away from the attack of COVID-19. © 2021 IEEE.

Online education in Covid-19: Limitations and improvements

The world and its ways of living have seen a massive change post the Covid lockdown in multiple aspects as, new practices, new trends and a new lifestyle of maintaining social distancing has wholly altered the world's standard. This change has severely affected the ways of learning, teaching and schooling as in-person classes have shifted to online live courses. But the available platforms of online classes don't provide a classroom-like feel, thereby creating hindrance in students learning process and diminishing the quality of education. This study provides a novel paradigm with complete architecture and implementation of a platform that caters explicitly to online learning and lives classes with provisions to provide class like atmosphere. It aims to do so with graded feature break down aided by a detailed description and plans to set up, build maintain such a paradigm from both technical administration fronts. In addition to the above, it further provides a framework that helps colleges education institutes to conduct "in-person classes"after pandemic enervates while following norms of social distancing. © 2021 IEEE.

Supporting emergency health services during a pandemic: Lessons from the canadian red cross

The COVID-19 pandemic has tested Canada's readiness capacity as emergency health needs continue to exceed some communities' capacity to respond. To address this gap, the Canadian Red Cross (in collaboration with local, provincial, territorial, national, and Indigenous partners) have leveraged international experience in humanitarian response and preparedness, developing innovative new response services, delivery modalities, and protocol through which to mitigate and manage risk. This approach breaks down emergency management into two main streams - health interventions and disaster management - to innovatively and effectively cope with increasingly complex and frequent requests for support. Using internal data from within the Canadian Red Cross, this paper presents and discusses the services, roles and expectations of this two-stream approach which has been designed to (i.) support COVID-19 testing and vaccination, (ii.) support outbreak crisis management, especially through epidemic, prevention, and control interventions, and (iii.) support traditional emergency management responses in the midst of a pandemic. It concludes by reporting on the successes of the two-stream approach to date while scoping further the potential evolutionary track of some of these services, their underpinning methodology, and appetite for recovery operations in the near future. This approach may therefore be of value to other organizations or practitioners coping with emergency management challenges during a pandemic. © 2021 Information Systems for Crisis Response and Management, ISCRAM. All rights reserved.