scholarly journals Masked Face Recognition

2021 ◽  
pp. 98-102
Author(s):  
Prof. Itrat Fatema ◽  
Alfiya Khan ◽  
Arti Gedekar ◽  
Ayesha Khawaja ◽  
Minakshi Barghat ◽  
...  
Keyword(s):  
Face Recognition ◽  
Access Control ◽  
Recognition Performance ◽  
Recognition System ◽  
World Health ◽  
Health Crisis ◽  
Rapid Transmission ◽  
Health Organization ◽  
Security Checks ◽  
Community Access

The World is facing a huge health crisis due to the rapid transmission of coronavirus (COVID-19). In order to effectively prevent the spread of COVID-19 virus, almost everyone have to wear a mask as its one of the most important element to prevent from this virus as per World Health Organization (WHO). It makes conventional facial recognition technology almost ineffective in several cases, such as community access control, face access control, facial attendance, facial security checks at airports, etc. Thus, there's an immediate requirement to improve the recognition performance of the existing technology on the masked faces. The current advanced face recognition approaches are architected based on deep learning, which depend on or requires a large number of face samples. With no publicly accessible datasets or database of face samples available, a dataset needs to be created for the recognition system.

scholarly journals WEBINAR STUDENT PRESENCE SYSTEM BASED ON REGIONAL CONVOLUTIONAL NEURAL NETWORK USING FACE RECOGNITION

2021 ◽  
Vol 2 (2) ◽  
pp. 109-118
Author(s):  
Akbar Trisnamulya Putra ◽  
Koredianto Usman ◽  
Sofia Saidah
Keyword(s):  
Neural Network ◽  
Face Recognition ◽  
Convolutional Neural Network ◽  
Recognition System ◽  
World Health ◽  
Face To Face ◽  
Face Recognition System ◽  
The Social ◽  
The Face ◽  
Health Organization

World health organization announce Covid-19 as a pandemic so On March 15th 2020, the social distancing has been established with working, learning, and praying from home. Webinar is one of the solutions so those activities still can be done face to face and conference-based. With webinar, users can interact each other in an online meeting from home. Student presence is part of a webinar. The purpose of this research is to design an accurate student presence with a face recognition system using R-CNN method. The object of this research is a human face with sufficient light, medium, and the face must be facing the camera. This research proposed for a webinar student presence system is using face recognition with Regional Convolutional Neural Network (R-CNN). With object detection and several scenarios used in this method, the webinar student presence system using R-CNN will be more accurate than the methods that have ever been used before. This research has done four scenarios to obtain the best parameters like 45 of total layers, test data of the whole dataset percentage as 10%, RMSProp as model op- timizer, and 0.0001 learning rate. With those parameters, it have resulted the best system performance including 99.6% accuration, 1 × 10-4 loss, 100% precision, 99% recall, and 99.5% F1 Score.

scholarly journals COVID-19 PANDEMIC UPDATES AND PERSPECTIVES. NEED FOR AN INTEGRATED AND EQUITABLE APPROACH.

2021 ◽  
Author(s):  
Grigoris Gerotziafas ◽  
Mariella Catalano ◽  
Ioannis Theodorou ◽  
Patrick van Dreden ◽  
Vincent Marechal ◽  
...  
Keyword(s):  
Mitigation Strategies ◽  
World Health ◽  
Learning Technology ◽  
Pharmacological Interventions ◽  
Health Crisis ◽  
Patients At Risk ◽  
Physical Barriers ◽  
Risk Of Disease ◽  
One Year ◽  
Health Organization

One year after the declaration of the COVID-19 pandemic by the World Health Organization (WHO) and despite the implementation of mandatory physical barriers and social distancing, humanity remains challenged by a long-lasting and devastating public health crisis. Non-pharmacological interventions (NPI) are efficient mitigation strategies. The success of these intense NPI is dependent on the approval and commitment of the population. The launch of a mass vaccination program in many countries in late December 2020 with mRNA vaccines, adenovirus-based vaccines, and inactivated virus vaccines has generated hope for the end of the pandemic. Current issues: The continuous appearance of new pathogenic viral strains and the ability of vaccines to prevent infection and transmission raise important concerns as we try to achieve community immunity against SARS-CoV-2 and its variants. The need of a second and even third generation of vaccines and the possibility of potentially harmful side-effects of the vaccines (i.e. venous thromboembolism ) have already been acknowledged. Perspectives: There is a critical and urgent need for a balanced and integrated strategy for the management of the COVID-19 outbreaks organized on three axes: (1) Prevention of the SARS-CoV-2 infection, (2) Detection and early diagnosis of patients at risk of disease worsening, and (3) Anticipation of medical care (PDA). Conclusion: The “PDA strategy” integrated into state policy for the support and expansion of health systems and introduction of digital organization (i.e. telemedicine, artificial intelligence and machine learning technology) is of major importance for the preservation of citizens’ health and life world-wide.

scholarly journals Facial Recognition System for People with and without Face Mask in Times of the COVID-19 Pandemic

2021 ◽  
Vol 13 (12) ◽  
pp. 6900
Author(s):  
Jonathan S. Talahua ◽  
Jorge Buele ◽  
P. Calvopiña ◽  
José Varela-Aldás
Keyword(s):  
Facial Recognition ◽  
Face Mask ◽  
Recognition System ◽  
Classification Model ◽  
World Health ◽  
The Face ◽  
Recognition Systems ◽  
Facial Recognition System ◽  
Health Organization ◽  
Face Detector

In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the use of a face mask as a mandatory biosafety measure. This has caused problems in current facial recognition systems, motivating the development of this research. This manuscript describes the development of a system for recognizing people, even when they are using a face mask, from photographs. A classification model based on the MobileNetV2 architecture and the OpenCv’s face detector is used. Thus, using these stages, it can be identified where the face is and it can be determined whether or not it is wearing a face mask. The FaceNet model is used as a feature extractor and a feedforward multilayer perceptron to perform facial recognition. For training the facial recognition models, a set of observations made up of 13,359 images is generated; 52.9% images with a face mask and 47.1% images without a face mask. The experimental results show that there is an accuracy of 99.65% in determining whether a person is wearing a mask or not. An accuracy of 99.52% is achieved in the facial recognition of 10 people with masks, while for facial recognition without masks, an accuracy of 99.96% is obtained.

TIRYAQ-E-ARBA (A POLY HERBAL UNANI FORMULATION) IN FIGHTING AGAINST COVID 19 LIKE CONDITIONS – UNANI PERSPECTIVE

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Nafisa Qibriya Khan ◽  
A. H. Farooqui ◽  
Syed Ayesha Fatima ◽  
Jalil Ahmad ◽  
Tausif S. Khan
Keyword(s):  
Respiratory Infections ◽  
Transmission Rate ◽  
Multiple Organ ◽  
World Health ◽  
Upper Respiratory Tract ◽  
Health Crisis ◽  
Unani Medicine ◽  
The World ◽  
Health Organization ◽  
Almost All

Coronavirus disease 2019 (COVID-19) is a pandemic disease of modern time with unique and rapid transmission rate and affected almost all the nations without respecting any border. Coronavirus disease 2019 (COVID-19) is arguably the biggest health crisis the world has faced in 21st century. It is an infectious disease and declared pandemic by the World Health Organization. The coronavirus disease 2019 (COVID-19) outbreak, which originated in Wuhan, China, has now spread to 192 countries and administrative regions infecting nearly 800,000 individuals of all ages as of 31 March 2020. Though most infected individuals exhibit mild symptoms including fever, upper respiratory tract symptoms, shortness of breath, and diarrhoea, or are asymptomatic altogether, severe cases of infection can lead to pneumonia, multiple organ failure, and death. Globally, at least 7900 deaths have been directly attributed to COVID19, and this number is expected to rise with the ongoing epidemic. This is particularly crucial as the current outbreak involves a new pathogen (SARS-CoV-2), on which limited knowledge exists of its infectivity and clinical profile. Research is in progress on therapeutic efficacy of various agents including anti-malarials (Chloroquine and Hydroxychloroquine), antiviral drugs, and convalescent serum of recovered patients. Unani system of medicine is one of the traditional systems of medicine which is being explored for providing preventive, supportive and rehabilitative care to patients. Unani system of medicine has a detailed description of drugs that are utilized in many infectious diseases, including respiratory infections. Immune response is essential to eliminate virus and to preclude disease progression to severe stages. Therefore, it is important to summarize the evidence regarding the preventive measures, control options such as immune-stimulator and prophylactic treatment in Unani medicine against Covid19. This review summarizes various pharmacological actions of Unani formulation Tiryaq-e-Arba in Unani literature and various reported pharmacological activities which can possibly provide prevention, control and reduction of complications of this deadly disease.

scholarly journals Integarted Minimum Cost Sub-Block Matching Distance based Face Recognition using Internet of Things

2019 ◽  
Vol 8 (11) ◽  
pp. 117-122
Keyword(s):  
Face Recognition ◽  
Recognition Performance ◽  
Minimum Cost ◽  
Recognition System ◽  
Block Matching ◽  
Face Region ◽  
Input Face ◽  
Face Recognition System ◽  
The Face ◽  
Fuzzy C Means Clustering

Now a days one of the critical factors that affects the recognition performance of any face recognition system is partial occlusion. The paper addresses face recognition in the presence of sunglasses and scarf occlusion. The face recognition approach that we proposed, detects the face region that is not occluded and then uses this region to obtain the face recognition. To segment the occluded and non-occluded parts, adaptive Fuzzy C-Means Clustering is used and for recognition Minimum Cost Sub-Block Matching Distance(MCSBMD) are used. The input face image is divided in to number of sub blocks and each block is checked if occlusion present or not and only from non-occluded blocks MWLBP features are extracted and are used for classification. Experiment results shows our method is giving promising results when compared to the other conventional techniques.

scholarly journals Viability of Bacillus subtilis Cells in Airborne Bioaerosols on Face Masks

Atmosphere ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1496
Author(s):  
Eun-Hee Lee ◽  
Yunsoo Chang ◽  
Seung-Woo Lee
Keyword(s):  
Bacillus Subtilis ◽  
World Health ◽  
The Novel ◽  
Fine Dust ◽  
Health Crisis ◽  
Viable Cells ◽  
Mask Material ◽  
Novel Coronavirus ◽  
Health Organization ◽  
Sand Dust

The coronavirus disease 2019 (COVID-19) pandemic is a general health crisis and has irreversible impacts on human societies. Globally, all people are at risk of being exposed to the novel coronavirus through transmission of airborne bioaerosols. Public health actions, such as wearing a mask, are highly recommended to reduce the transmission of infectious diseases. The appropriate use of masks is necessary for effectively preventing the transmission of airborne bioaerosols. The World Health Organization (WHO) suggests washing fabric masks or throwing away disposable masks after they are used. However, people often use masks more than once without washing or disposing them. The prolonged use of a single mask might—as a result of the user habitually touching the mask—promote the spread of pathogens from airborne bioaerosols that have accumulated on the mask. Therefore, it is necessary to evaluate how long the living components of bioaerosols can be viable on the masks. Here, we evaluated the viability of airborne Bacillus subtilis (B. subtilis) in bioaerosols filtered on woven and anti-droplet (non-woven) face masks. As a simulation of being simultaneously exposed to sand dust and bioaerosols, the viability rates of bioaerosols that had accumulated on masks were also tested against fine dust and airborne droplets containing bacteria. The bioaerosols survived on the masks immediately after the masks were used to filter the bioaerosols, and the bacteria significantly proliferated after one day of storage. Thereafter, the number of viable cells in the filtered bioaerosols gradually decreased over time, and the viability of B. subtilis in bioaerosols on the masks varied, depending on the mask material used (woven or non-woven). Despite the reduction in viability, bioaerosols containing living components were still found in both woven and anti-droplet masks even after six days of storage and it took nine days not to have found them on masks. The number of viable cells in bioaerosols on masks significantly decreased upon exposure of the masks to fine dust. The results of this study should provide useful information on how to appropriately use masks to increase their duration of effectiveness against bioaerosols.

scholarly journals Four pandemics: lessons learned, lessons lost

2020 ◽  
Keyword(s):  
Public Health ◽  
Lessons Learned ◽  
World Health ◽  
Swine Flu ◽  
Global Public Health ◽  
Health Crisis ◽  
The World ◽  
Spanish Flu ◽  
Future Events ◽  
Health Organization

In the past 100 years, the world has faced four distinctly different pandemics: the Spanish flu of 1918-1919, the SARS pandemic of 2003, the H1N1 or “swine flu” pandemic of 2012, and the ongoing COVID-19 pandemic. Each public health crisis exposed specific systemic shortfalls and provided public health lessons for future events. The Spanish flu revealed a nursing shortage and led to a great appreciation of nursing as a profession. SARS showed the importance of having frontline clinicians be able to work with regulators and those producing guidelines. H1N1 raised questions about the nature of a global organization such as the World Health Organization in terms of the benefits and potential disadvantages of leading the fight against a long-term global public health threat. In the era of COVID-19, it seems apparent that we are learning about both the blessing and curse of social media.

scholarly journals The Covid infodemic

2021 ◽  
Author(s):  
Ken Hyland ◽  
Feng (Kevin) Jiang
Keyword(s):  
Social Anxiety ◽  
Global Health ◽  
Medical Research ◽  
World Health Organization ◽  
Research Methods ◽  
World Health ◽  
Health Crisis ◽  
The World ◽  
Health Organization ◽  
Highly Cited

Abstract Covid-19, the greatest global health crisis for a century, brought a new immediacy and urgency to international bio-medical research. The pandemic generated intense competition to produce a vaccine and contain the virus, creating what the World Health Organization referred to as an ‘infodemic’ of published output. In this frantic atmosphere, researchers were keen to get their research noticed. In this paper, we explore whether this enthusiasm influenced the rhetorical presentation of research and encouraged scientists to “sell” their studies. Examining a corpus of the most highly cited SCI articles on the virus published in the first seven months of 2020, we explore authors’ use of hyperbolic and promotional language to boost aspects of their research. Our results show a significant increase in hype to stress certainty, contribution, novelty and potential, especially regarding research methods, outcomes and primacy. Our study sheds light on scientific persuasion at a time of intense social anxiety.

scholarly journals ENTRE FLUXOS E ESCALAS: COVID-19 E SUAS IMPLICAÇÕES NA REDE DE TRANSPORTE AÉREO NO PRIMEIRO SEMESTRE DE 2020

GEOgraphia ◽  
2020 ◽  
Vol 22 (49) ◽  
Author(s):  
Bruno Carneiro de Oliveira ◽  
Denis Castilho
Keyword(s):  
Transportation Network ◽  
Air Transportation ◽  
World Health ◽  
Civil Aviation ◽  
Multiscale Approach ◽  
International Civil Aviation Organization ◽  
Health Crisis ◽  
Methodological Procedures ◽  
Health Organization ◽  
La Red

Resumo: A crise sanitária ocasionada pela Covid-19 tem demonstrado que o novo coronavírus não acomete apenas as vias mais distantes do pulmão humano, mas também os fluxos da economia mundializada. Neste artigo analisamos as consequências do novo coronavírus na rede de transporte aéreo no primeiro semestre de 2020 a partir de uma abordagem multiescalar. Os procedimentos metodológicos basearam-se em coleta de dados do fluxo de transporte aéreo e de informações referentes a casos de Covid-19 em localidades selecionadas. As principais bases de dados utilizadas foram a Agência Nacional de Aviação Civil (ANAC), a International Civil Aviation Organization (ICAO), a Organização Mundial da Saúde (OMS) e relatórios de concessionárias de aeroportos. A análise leva a refletir sobre a dependência das corporações, especialmente de grandes companhias aéreas, às ações do Estado e revela um sistema de espoliação (e de pilhagem) ainda mais agressivo e articulado em tempos de crise como essa ocasionada e/ou agravada pela Covid-19. Palavras-chave: Covid-19. Transporte aéreo. Fluidez. Crise econômica. Through the flows and the scales: Covid-19 and its implications for the air transportation network in the 1st semester of 2020Abstract: The health crisis caused by Covid-19 has shown that the new coronavirus affects not only the most distant pathways of the human lung but also the flows of the globalized economy. In this paper, we analyze the consequences of the new coronavirus on the air transportation network in the 1st semester of 2020 in a multiscale approach. The methodological procedures were based on the gathering of air transportation flow data and information related to Covid-19 cases in selected locations. The main databases were the National Civil Aviation Agency (ANAC), the International Civil Aviation Organization (ICAO), the World Health Organization (WHO), and reports from highway and airport concessionaires. The analysis leads to reflect on the dependence of corporations, especially large airlines, on the actions of the State and reveals a system of exploitation (and looting) even more aggressive and articulated in times of crisis such as that caused and/or aggravated by COVID -19.Keywords: Covid-19. Air Transportation. Fluidity. Economic crisis. Entre flujos y escalas: Covid-19 y sus implicaciones en la red de transporte aéreo en el primer semestre de 2020Resumen: La crisis sanitaria derivada de la Covid-19 ha demostrado que el nuevo coronavirus no solo afecta a las vías más distantes del pulmón humano, sino también a los flujos de la economía globalizada. En este artículo analizamos las consecuencias del nuevo coronavirus en la red de transporte aéreo en el primer semestre de 2020 desde un enfoque multiescalar. Los procedimientos metodológicos se basaron en la recopilación de datos de flujo de transporte aéreo y de información relacionada con los casos de Covid-19 en ubicaciones seleccionadas. Las principales bases de datos utilizadas fueron la Agencia Nacional de Aviación Civil de Brasil (ANAC), la International Civil Aviation Organization (ICAO), la Organización Mundial de la Salud (OMS) y los informes de las concesionarias de aeropuertos. El análisis lleva a reflexionar sobre la dependencia de las corporaciones, especialmente las grandes aerolíneas, a las acciones del Estado y revela un sistema de saqueo aún más agresivo y articulado en tiempos de crisis como esta provocada y/o agravada por el nuevo coronavirus.Palabras clave: Covid-19. Transporte aéreo. Fluidez. Crisis económica.

scholarly journals Penggunaan Aplikasi Google Classroom sebagai Metode Pembelajaran Daring Selama Pandemi Covid-19

2021 ◽  
Vol 14 (2) ◽  
pp. 11-17
Author(s):  
Mirza Ghulamudin Ghulamudin ◽  
Maufur ◽  
Beni Habibi
Keyword(s):  
Distance Learning ◽  
World Health ◽  
Ministry Of Education ◽  
Health Crisis ◽  
Use Of Technology ◽  
The World ◽  
Teachers And Students ◽  
The Government ◽  
Health Organization ◽  
In The Beginning

Covid-19 has now attacked Indonesia, where the spread of the disease is very fast. Not only in Indonesia, but all corners of the world are currently experiencing a health crisis. In the beginning, the spread of Covid-19 had an impact on economic activity which began to sluggish. This also has an impact on the education system in Indonesia. Until several countries decided to close schools and universities. In an effort to prevent the spread of covid-19, the World Health Organization (WHO) recommends temporarily stopping activities that would potentially cause crowds. Even during the outbreak, covid-19 in Indonesia, there were many ways that the government did to prevent its spread through social distancing. Kemendikbud instructed through the Ministry of Education and Culture (Kemendikbud) Directorate of Higher Education Circular No. 1 of 2020 concerning the prevention of the spread of covid-19 in the world of Education to organize distance learning and advise students to learn from their homes. Teachers and students are starting to be required to follow the current situation by using technology as a distance learning medium. One of the media that is being favored by teachers as a learning medium is the Google Classroom application. This application is an application that can make it easier for students and teachers to create effective learning. Given that students today are a generation who are very familiar with the use of technology. The use of technology in learning is an alternative method used by teachers during the Covid-19 Pandemic.

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