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1.
5th International Conference on Design Innovations for 3Cs Compute Communicate Control, ICDI3C 2021 ; : 65-70, 2021.
Artigo | Scopus | ID: covidwho-1470289

RESUMO

Coronavirus is a common virus that shows symptoms of infections in nose, chest pain, sinuses, or throat. Most Sars - coronaviruses are harmless. After the 2019 outbreak in the penultimate month in China, the World Health Organization (WHO) identified SARS-CoV-2 as the latest coronavirus spreading all over the world. The disease is spreading rapidly around the world and affecting millions of people physically and mentally as well. In this paper a comparison of 8 pre-trained Machine Learning models predominately different versions of ResNet is done and compared. The used models for comparisons are InceptionV3, EfficientNet, VGG16, ResNet50, ResNet50v2, ResNetlOl, ResNetl01v2, ResNetl52. Finally, it will be deduced which model is best suited for the given dataset of Covid-19. © 2021 IEEE.

2.
2021 Concurrent Processes Architectures and Embedded Systems Conference, COPA 2021 ; 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470288

RESUMO

Masked face recognition is now an essential part of health safety, security and surveillance systems which offers incredible advantages in our daily lives, especially in the era of the pandemic ushered in by the outbreak of coronavirus disease in the year 2019 (COVID-19). Applications such as;face mask compliance checks, facial security checks, facial attendance records and facial authentication for access control now requires an effective masked face recognition system. The existing systems of masked face recognition were developed to automatically detect and understand faces occluded with masks using computer vision and deep learning techniques, the systems are yet to work effectively in real-time. This study gives an analysis of some techniques used for the implementation of masked face recognition system, with emphasis on Convolutional Neural Network (CNN). The strengths and enhancement areas of the highlighted techniques towards real-time implementation were discussed. © 2021 IEEE.

3.
4th IEEE International Conference on Computer and Communication Engineering Technology, CCET 2021 ; : 252-256, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470287

RESUMO

The polynomial regression algorithm can fit almost all data sequences by adding high-order terms of independent variables, but on long sequences, it can only reflect the development trends of the sequences, and the predicted value is not accurate enough. RNN has great advantages in predicting and fitting time sequence data, especially Long Short-Term Memory (LSTM) network has good performance in predicting long time sequence. This paper respectively adopts polynomial regression and LSTM analysis and predict the effect of epidemic prevention and control policies in various countries to control the epidemic and the economic recession. The experiment results show the Covid-19 epidemics trend prediction algorithm based on LSTM has better prediction effects, and is helpful in practical life. © 2021 IEEE.

4.
20th International Conference of the Biometrics Special Interest Group, BIOSIG 2021 ; 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470286

RESUMO

The recent Covid-19 pandemic and the fact that wearing masks in public is now mandatory in several countries, created challenges in the use of face recognition systems (FRS). In this work, we address the challenge of masked face recognition (MFR) and focus on evaluating the verification performance in FRS when verifying masked vs unmasked faces compared to verifying only unmasked faces. We propose a methodology that combines the traditional triplet loss and the mean squared error (MSE) intending to improve the robustness of an MFR system in the masked-unmasked comparison mode. The results obtained by our proposed method show improvements in a detailed step-wise ablation study. The conducted study showed significant performance gains induced by our proposed training paradigm and modified triplet loss on two evaluation databases. © 2021 IEEE.

5.
2021 IEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2021 ; 2021-July:188-193, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470285

RESUMO

The paper addresses the problem of efficiently planning routes for multiple ground vehicles used in goods delivery services. Given popularity of today's e-commerce, particularly under the COVID-19 pandemic conditions, goods delivery services have been booming than ever, dominated by small-scaled (electric) bikes and promised by autonomous vehicles. However, finding optimal routing paths for multiple delivery vehicles operating simultaneously in order to minimize transportation cost is a fundamental but challenging problem. In this paper, it is first proposed to exploit the mixed integer programming paradigm to model the delivery routing optimization problem (DROP) for multiple simultaneously-operating vehicles given their energy constraints. The routing optimization problem is then solved by the multi-chromosome genetic algorithm, where the number of delivery vehicles can be optimized. The proposed approach was evaluated in a realworld experiment in which goods were expected to be delivered from a depot to 26 suburb locations in Canberra, Australia. The obtained results demonstrate effectiveness of the proposed algorithm. © 2021 IEEE.

6.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 259-264, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470284

RESUMO

The scientific article evaluates the current areas of health care management in the context of population aging. The peculiarities of population aging in some countries and regions (according to the level of economic development) have been clarified;including among women and men. The main structural reasons that determine the rate of population aging are identified: demographic, social, economic, environmental. The consequences of population aging for Ukrainian society, first of all its impact on the health care system, have been identified. The state of health of elderly people in Ukraine is analyzed and the priority directions of its preservation are substantiated. The methodological principles of calculating the health index and determining the characteristics of population inequality in terms of health from the standpoint of population aging (separately for men and women) are summarized. The main goals of health care development in the context of aging and the COVID-19 pandemic have been identified. © 2021 IEEE.

7.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 554-559, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470283

RESUMO

The paper proposes smartphone applications, that allow doctors to continuously observe the main organ of patients, affected by the coronavirus, - the lungs. The applications are based on wireless devices and designed in a way to monitor the state of patients' lungs round-the-clock and regardless of their location. Therefore, created applications allow the doctor continuously and remotely (e.g. from their office) see the level of oxygen in the patient's blood. These data from the pulse oximeter with a wireless connection will be send via the patient's smartphone to the server, where the doctor will receive information about the patient's condition and can decide on further treatment. With these applications, doctors will be able to monitor the condition of their patients, who are in hospital wards as well as at home, on observation or outpatient treatment. What is important, this way it will be possible to track the condition of the sick not only with Covid-19 but also with other diseases, for example, asthma, vascular diseases or cancer. © 2021 IEEE.

8.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 222-225, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470282

RESUMO

COVID-19 pandemic has strengthened the paternalistic state policy to protect its own interests;globalization is giving way to autonomous economic development of the world. The development of the world is beginning to depend more on neighboring countries than on the global economy. State decision-making on the future trajectory of economic development requires a balanced quantitative analysis of the explanation factors that have the greatest impact on economic development in the "new reality". The purpose of the work is to study the influence of the spatial location of countries on the level of their economic development in a pandemic. The processes of convergence and divergence of development of countries in a pandemic are analyzed. Different spatial models of countries' development are compared in terms of macroeconomic efficiency indicators. An econometric model of spatial development of European countries for forecasting the pace of economic development has been developed. © 2021 IEEE.

9.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 368-371, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470281

RESUMO

Human behavior is greatly affected by unexpected. In this study we focus on discerning structural shifts in students' psychological profiles, caused by COVID-19. It is done, using a survey, based on prominent effects from behavioral economics. An incorporation of Kohonen neural network allows to form several clusters in different periods of early and late pandemic states. Thus, several important shifts are accounted, such as: some groups show an adherence to familiar patterns and increased attachment to one's own property;some, at contrary, rapidly change, adapting to new circumstances. © 2021 IEEE.

10.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 61-64, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470280

RESUMO

The process of search engine optimization (SEO) websites at the supporting stages is considered. The impact of the COVID-19 pandemic on customers' buying habits is taken into account. Mathematical model of the dynamics organic traffic website at the supporting stages of SEO using the method of reduction is built. © 2021 IEEE.

11.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 255-258, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470279

RESUMO

The consideration of the changes in the labor market of Ukraine caused by the consequences of the COVID19 pandemic was proposed. An analysis of the situation in the global and Ukrainian economy in 2020 on the background of the pandemic was conducted. An approach to modeling the impact of government anti-pandemic decisions on the labor market is proposed. The forecast of development of this market in 2021 is made. © 2021 IEEE.

12.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 595-599, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470278

RESUMO

The worldwide COVID-19 pandemic has made adjustments in the activities of business entities, individuals and households in all spheres of operation and activity. Small and medium-sized businesses were particularly vulnerable. Despite the measures that are being implemented at the State level to halt the spread of the virus, it is clear that without additional innovative methods of protection it will be very difficult to achieve a positive security effect. It should also be borne in mind that the economic environment has changed forever. This is particularly true for safety equipment and disease prevention. It is to ensure the automation of the process of compliance with quarantine requirements that the authors of the article used information technology and proposed the development of "Social Counter Control of Distance and Disinfection"(SCCDD). This technological device allows you to automate control over compliance with quarantine requirements in the processes of society. Based on the work of the presented SCCDD development, an illustration of the software architecture of the automated system is presented and a block diagram of the device operation for entering the project into the practical plane is implemented. The article offers the author's method of analyzing the software architecture for compliance with general requirements. © 2021 IEEE.

13.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 514-519, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470277

RESUMO

In the modern conditions of human life and the functioning of economic entities, government agencies is rapidly expanding the use of electronic computing machines (computers), automated systems, computer networks or networks or telecommunications networks. Their role increased significantly during the COVID-19 pandemic, as the implementation and application of electronic services in a variety of areas intensified to minimize personal contact. Meanwhile, it generates risks of unauthorized interference in their work by criminals who pursue their own selfish goals. According to the results of the research, the elements of the criminal offense from unauthorized interference in the work of electronic computing machines (computers), automated systems, computer networks or telecommunication networks registered by the internal affairs bodies of Ukraine were singled out. The article highlights the results of the judicial practice analysis and makes a generalization in accordance with the court verdicts during the period under study, as well as identifies the characteristics of the offender. Quantitative and qualitative descriptors of criminal offenses registered by the internal affairs bodies of Ukraine are analyzed. In the course of the research a hypothesis was put forward about the influence of probable factors on the result indicator - the number of recorded offenses with unauthorized activities within the cyber space. Such factors are proposed to include the number of the existing population in the country;number of Internet subscribers;number of unemployed population;the volume of the country's GDP;the volume of GDP per 1 person of the current population;the level of the country's shadow economy. To prove the hypothesis, the expediency of using the mathematical apparatus of artificial neural networks with radial-basis functions. The experiment proved the relationship between hypothetical factors influencing the level of criminal offenses with unauthorized activities within the cyber space, as well as the feasibility of using mathematical apparatus of artificial neural networks with radial-based functions for forecasting the number of investigated criminal offenses and the development of state policy to combat computer crime. © 2021 IEEE.

14.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 333-336, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470276

RESUMO

To ensure the economic security of enterprises during the Covid-19 pandemic, it is extremely important to ensure their personnel security, namely to take a set of necessary measures in a timely manner. This is not possible without accurately predicting the staff turnover situation that is directly affected by the pandemic. With this in mind, the paper proposes a mechanism for highly accurate forecasting (error 0.1-0.2%) of staff turnover, taking into account the state of the labor market in the country, which clearly depends on Covid-19. For this purpose, the possibilities of artificial neural networks with radial-basic transmission functions are used. © 2021 IEEE.

15.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 744-747, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470275

RESUMO

Nowadays, humanity has witnessed an extremely complex historical event. Humanity is faced with a coronavirus infection, which has grown into a rare and dangerous phenomenon - a pandemic. The newest threat, with which the entire planet is fighting, has set before each country, without exception, special tasks to find and develop new methods to combat the spread of the virus and effective methods of treating it. New legal regulations are needed to introduce innovative technologies - to create conditions for the most effective use of the capabilities of artificial intelligence to combat the spread of COVID-19. World experience also points us to the need to apply the latest technologies to defeat a new infection. Only in this way struggle can be effective. This article broadly presents and classifies the global experience in the use of artificial intelligence to combat coronavirus, and also analyzes the strategies of legal regulation in a pandemic. This is a valuable platform for a constructive study of the identified problem, and also contributes to the creation of modern conditions for the use of artificial intelligence technologies to resolve the situation with coronavirus infection. It is emphasized that artificial intelligence technologies make it possible to quickly overcome challenges both nationally and internationally and prevent their recurrence in future. The author notes that the most important requirements for the observance of constitutional rights and freedoms citizens and the impossibility of limiting them when using artificial intelligence technologies, which are established in regulatory legal acts, on the legal regime of the results of artificial intelligence. © 2021 IEEE.

16.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 230-233, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470274

RESUMO

In the context of the COVID-19 pandemic, which led to crisis events in the activities of enterprises in most spheres of economic life, the issue of using blockchain technologies, in particular in the cloud environment, was brought up. The expediency of using blockchain technologies in enterprise management, including in the implementation of marketing policy is considered and substantiated. A cloud model of blockchain technologies in enterprise management has been developed. The parametric estimation of the optimization model of application of IT in management of the enterprise taking into account use of cloud models of blockchain technologies (on an example of marketing activity of the enterprise) is offered. © 2021 IEEE.

17.
11th International Conference on Advanced Computer Information Technologies, ACIT 2021 ; : 587-590, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470273

RESUMO

The article considers the problem of predicting the course of the COVID-19 pandemic. An Internet bot has been developed for such forecasting. The list of models for forecasting is offered. The internal software structure of the bot and user interface elements were described. Based on real data, predictions of the spread of COVID-19 were obtained. © 2021 IEEE.

18.
TQM Journal ; 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470272

RESUMO

Purpose: Driven by the disruptive effects of the Covid-19 pandemic, the ongoing debate about the international location of firms' manufacturing activities has increasingly highlighted the specific benefits and costs of near-shoring versus far-shoring. However, the effects of near-shoring versus far-shoring on customer perceived quality and purchase intention have not been examined. Thus, this study aims to develop a conceptual model and provide new evidence to fill this gap. In particular, the study explores the roles of brand familiarity and corporate social responsibility (CSR) to explain the different levels of perceived quality and purchase intention in relation to near-shoring versus far-shoring. Design/methodology/approach: This study includes two analyses of data collected from a sample of Italian customers. The first analysis consists of a 2 (high/low brand familiarity) × 3 (domestic insourcing, near-shoring, far-shoring) factorial design, and data are assessed via analyses of variance (ANOVA). The second analysis evaluates the suggested model in the two scenarios (near-shoring and far-shoring) via partial least squares–structural equation modelling (PLS-SEM) multigroup analysis. Findings: Results showed that customer perceived quality and purchase intention were significantly higher for near-shoring than for far-shoring, but only when brand familiarity was low. No significant difference was found for participants with a high level of brand familiarity. In addition, the level of a brand's pre-offshoring perceived CSR was negatively related to perceived quality, and this was conceptually justified by the CSR-washing effect. Again, this effect was found only when brand familiarity was low. Research limitations/implications: The findings contribute to advancing the current understanding of the multiple effects of the offshoring decision and clarify that near-shoring and far-shoring have different effects for customers with low brand familiarity. The findings also emphasise that the far-shoring decision can elicit the perception of decoupling between the firm's CSR claims and CSR actions, thus decreasing perceived quality. Practical implications: This study provides managers with additional inputs to make more informed decisions regarding offshoring. While the post-pandemic scenario seems to favour near-reshoring over far-shoring due to agility considerations, this study also provides additional evidence of the superiority of near-reshoring from the customer's perspective. Originality/value: This is the first study to examine and prove the differential effects of near-shoring versus far-shoring on the customer's perceptions and behaviours. © 2021, Emerald Publishing Limited.

19.
Qualitative Research in Organizations and Management: An International Journal ; 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470271

RESUMO

Purpose: The purpose of this paper is to offer a complete guide to a qualitative method for capturing critical moments of managerial practice that combines interpretative phenomenological analysis (IPA) and existential hermeneutic phenomenology (EHP). Design/methodology/approach: This article is based on the findings of extensive research and describes in detail the specific steps that must be taken for complete replication of research. The research uses methods of IPA and critically develops the EHP framework with an emphasis on the analysis of interpersonal relationships. Findings: Depending on the testing of the research method in practice, the article evaluates the IPA-EHP method as suitable for the research on critical moments of managerial lived experience, considering the causes of the crisis. Originality/value: This article is based on demand from academics who would like to use this method to analyse managerial practice. Especially now, at a time associated with a number of challenging events, such as the ongoing COVID-19 pandemic, qualitative research is gaining in importance, even in management science. The original interpretative framework based on the phenomenology of Fink and Patočka is appropriate in this respect. © 2021, Emerald Publishing Limited.

20.
Quality Assurance in Education ; 29(4):332-343, 2021.
Artigo em Inglês | ProQuest Central | ID: covidwho-1470270

RESUMO

PurposeThe main purpose of this study was to explore the quality assurance practices in teaching English to young learners (TEYL) settings during the sudden switch to digital education. The investigation of the issue was conducted through triple perspectives including institutional, teacher and learner dimensions.Design/methodology/approachA partially mixed sequential dominant status design (P4) method was adopted in this study. The qualitative and quantitative data collection techniques were incorporated, and the data were triangulated to ensure validity. Additionally, trustworthiness, credibility and transferability procedures were strictly followed for the qualitative data.FindingsThe findings of this study revealed that the investigated institution in this study reacted this process swiftly and made the benefit of young and technology literate teachers while experiencing certain difficulties. On the other hand, teachers were confused in this process, and they showed signs that they were affectively influenced. The most prominent difficulty experienced by the teachers was the integration of four language skills to their teaching and assessment. A small number of the learners in this study revealed that they had negative attitudes toward online education, which was thought to be stemming from the lack of technological equipment and a suitable learning environment.Originality/valueTo the best of the authors’ knowledge, the present study is one of the first studies to explore quality assurance in TEYL in relation to distance education practices. As a three-dimensional study, the current study explores the issue from triple perspective as institutional, teacher and leaner perspectives.

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