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Real-time face mask detection in mass gatherings to reduce Covid-19 spread

Soner Swapnil, Litoriya Ratnesh, Khatri Ravi, Hussain Ali Asgar, Pagrey Shreyas, Kushwaha Sunil Kumar

Journal of Automation Mobile Robotics and Intelligent Systems

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2023

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Vol. 17, No. 1

51--58

EN

The Covid 19 (coronavirus) pandemic has become one of the most lethal health crises worldwide. This virus gets transmitted from a person by respiratory droplets when they sneeze or when they speak. According to leading and well‐known scientists, wearing face masks and maintain‐ ing six feet of social distance are the most substantial protections to limit the virus’s spread. In the proposed model we have used the Convolutional Neural Network (CNN) algorithm of Deep Learning (DL) to ensure efficient real‐time mask detection. We have divided the system into two parts—1. Train Face Mask Detector 2. Apply Face Mask Detector—for better understanding. This is a real‐ time application that is used to discover or detect the person who is wearing a mask at the proper position or not, with the help of camera detection. The system has achieved an accuracy of 99% after being trained with the dataset, which contains around 1376 images of width and height 224×224 and also gives the alarm beep message after the detection of no mask or improper mask usage in a public place.

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Analysis of Covid restrictions’ influence on road traffic crashes and related road users’ behaviour in the Czech Republic

Bucsuházy Kateřina, Zůvala Robert, Ambros Jiří

Archives of Transport

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2023

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Vol. 66, iss. 2

109--121

EN

The Covid pandemic and following restrictions worldwide influence various aspects -lockdown does not only have economic consequences but is also associated with a change in population mobility. As well as the spread of a pandemic and the associated numbers of infections and deaths, policy responses and restrictions have also varied from country to country. Despite all the negative impacts of the Covid pandemic, the decrease in crash-related injuries may be seen as one of the positive impacts of lockdown politics. The change in crash characteristics during the Covid lockdown may provide new insights and help design countermeasures for road safety improvement. It is not sufficient to generalize findings across individual countries, there were different trends in crash frequency and severity during the Covid lockdown The main purpose of this study was to investigate the Covid restriction's impact on road safety in the Czech Republic. The retrospective analysis was performed using data the Police crash statistics. In addition to data from the main Covid periods (2020 and 5 months of 2021 data), crash data from 2016-2019 as the period unaffected by the Covid pandemic, were used as a control group. The study focused not only on the overall crash frequency but also on the analysis of the crash frequency according to the individual crash participants. Crash data did not indicate significant changes in risky behaviour. The mobility decrease was associated with decreased crash frequency, especially of vehicles and pedestrians. The crash numbers also reflect changes in how people spend time, respectively an increase in leisure time activities in some age groups and a change in usage of transport modes. Two-wheeled vehicle users (cyclists, motorcyclists) crash frequency was more influenced by seasonality. While the crash frequency of vehicles (personal vehicles and HGVs) and pedestrians was better correlated with mobility data, the cyclists and motorcyclists crash frequency were better correlated with temperature.

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Covid pandemic as a disruptive factor enhancing ICT use in social sciences’ teaching practices

Maruszewska Ewa Wanda, Eisenbardt Monika, Tuszkiewicz Maciej

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2022

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z. 160

383--407

EN

Purpose: Our research attempts to understand a change in social sciences’ academics' teaching practices that can be observed during the COVID pandemic and that are predicted after the pandemic. Design: We investigate – in the light of the Blin’s and Munro’s activity theory (2008) – whether the COVID pandemic is a disruptive factor that may lead to the transformation of social sciences academics’ teaching practices. The research instrument was a worldwide survey conducted among social sciences’ academics. Findings: COVID pandemic has already introduced changes into academics’ teaching practices in a form of broad ICT usage as well as initiated changes in the teaching activities design. Research limitations: The number of responses is limited to 382 with only a collection of 77 responses from outside of Europe. We applied a general approach for ICT means not asking respondents about particular ICT tools. COVID as a pandemic evolves continuously indicating the need for further, in-depth research in this field. Practical implications: COVID pandemic might serve as a disruptive factor enforcing further changes in social sciences’ academic teaching practices after the pandemic. Social implications: Our results indicate that the quality of social sciences teaching has worsened during the pandemic and most of the respondents do not predict significant changes in the quality of teaching after the pandemic compared to the quality of teaching before the pandemic. Originality: We contribute by showing that introduction of a new tool (ICT) and modified teaching activity design resulted in a serious alteration of the teaching practice of social sciences’ academics. We did not confirm that COVID disruption was expansive enough to permanently transform teaching practices of social sciences academics, hence we suggest that obstacles to successful incorporation of ICT in teaching practices are still present. We showed that ICT is predicted to be used more frequently rather than before (when it was only utilised as a platform to transfer traditional material) and will not modify the well-established practices referring to instructional tools. Our study suggests that the relation between teacher and teaching activity design is not mediated by ICT tools, which may result in resistance from the teachers.

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Post-Covid perspectives for the automotive industry, opportunities, and threats

Cieśla Jakub

System Safety : Human - Technical Facility - Environment

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2022

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Vol. 4, nr 1

85-98

EN

The subject of the study is to verify the impact of the SARS-COV2 virus pandemic on the functioning of the automotive industry in the context of the global economy. The conducted research is important due to the enormous change in the functioning of the automotive industry due to the covid pandemic as well as megatrends affecting the industry. The paper aims to verify the determinants influencing the functioning of the automotive industry. The conclusions resulting from the study will be used to better understand the current situation and to prepare the market's strategy for the coming years. The selected research method includes literature and industry research and the Exact Systems company case study. The case study relates to a survey of car and car parts manufacturers in 12 European countries. The author's contribution is an indication of many factors influencing the potential future of the automotive industry available in the literature. Then the author compares these data with the expectations and predictions of the car manufacturers' market participants to draw consistent conclusions.

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Aspekt psychologiczny w zarządzaniu kryzysowym w oparciu o doświadczenia wynikające z pandemii

Bentkowska Anna

Promotor BHP

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2022

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nr 6

58--62

PL

Pandemia COVID-19 oraz tocząca się wojna w Ukrainie są przykładami sytuacji kryzysowych, które mają wpływ na nas wszystkich. Jakie działania możemy podjąć, aby zadbać o swoje zdrowie psychiczne?

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The impact of remuneration on sales turnover in Dubai’s automotive aftermarket: pre-covid and amidst Covid

Pandya Bharti, Shah Kavita, Allam Hesham

Polish Journal of Management Studies

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2022

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Vol. 26, No. 2

280--292

EN

The Global Automotive Aftermarket sector was valued at USD 392.5 billion in 2020 and is predicted to surpass USD 525 billion by 2028. The automotive aftermarket of the United Arab Emirates, led by Dubai, is the fastest-growing market, which is expected to reach USD 634.4 million. However, the Covid-19 pandemic diminished the growth rate and profitability of the sector, pressing small and medium enterprises to reduce their costs, including employees’ remuneration. This empirical paper aims to analyse the impact of changes in salesforce remuneration on sales turnover and the role of Covid-19 in influencing this causal relationship. The data, before Covid (2019) and during Covid (2020-21), were collected from 80 automotive aftermarket enterprises in Dubai using a single-stage convenience sampling method. The correlation analysis and ANOVA test highlight the significant difference in sales commission within the group and between the groups caused by Covid-19. The results indicate how the reduction in remuneration, especially sales commission, during the crisis significantly declined the sales turnover in automotive aftermarket enterprises. The study proposes guidelines and tips that business leaders, the human resources professionals can implement to revive their sales turnover post-Covid-19 and manage such crises in future.

PL

Sektor Global Automotive Aftermarket został wyceniony na 392,5 mld USD w 2020 r. i przewiduje się, że do 2028 r. przekroczy 525 mld USD. Samochodowy rynek wtórny Zjednoczonych Emiratów Arabskich, na czele z Dubajem, jest najszybciej rozwijającym się rynkiem, który według przewidywań miał osiągnąć 634,4 mln USD. Jednak pandemia Covid-19 zmniejszyła tempo wzrostu i rentowność sektora, zmuszając małe i średnie przedsiębiorstwa do ograniczania kosztów, w tym wynagrodzeń pracowników. Niniejszy artykuł empiryczny ma na celu analizę wpływu zmian wynagrodzeń sprzedawców na obroty ze sprzedaży oraz roli Covid-19 w oddziaływaniu na ten związek przyczynowy. Dane sprzed Covid (2019) i podczas Covid (2020-21) zostały zebrane od 80 przedsiębiorstw motoryzacyjnego rynku wtórnego w Dubaju przy użyciu jednoetapowej metody dogodnego doboru próby. Analiza korelacji i test ANOVA podkreślają istotną różnicę w prowizjach od sprzedaży w grupie i pomiędzy grupami spowodowaną przez Covid-19. Wyniki wskazują, jak obniżenie wynagrodzeń, zwłaszcza prowizji od sprzedaży, w okresie kryzysu znacznie zmniejszyło obroty ze sprzedaży w przedsiębiorstwach zajmujących się motoryzacyjnym rynkiem wtórnym. W badaniu zaproponowano wytyczne i wskazówki, które liderzy biznesowi i specjaliści ds. zasobów ludzkich mogą wdrożyć, aby ożywić obroty ze sprzedaży po Covid-19 i radzić sobie z takimi kryzysami w przyszłości.