ABSTRACT
Information Technology (IT) has become the integral part of majority of businesses. Healthcare sector is also one such sector where IT adoption is increased in recent times. This adoption of IT has increased the internet exposure and hence increased the attack surface of the organisations working in healthcare sector. During covid outbreak, we have observed various cyber-attack and threats on organisations operating in healthcare sector. This paper focuses on cyber threat pattern in healthcare sector during covid-19 outbreak and post-covid-19 period. This research paper also aims to generate basic cyber awareness through generic cyber sanity checks to secure healthcare sector from malicious threat actors. The adaptation of proactive measures required to enhance the cyber hygiene of organisations becomes very essential in this sector. © 2023 IEEE.
ABSTRACT
Video conferencing applications have become an integral part of today's world for attending interviews, classes, meetings, and assorted gatherings as well in the COVID-19 era. Alongside the increased use of such applications to facilitate the process of conducting interviews, the quality interview has taken a hit overall. This is largely because prospective candidates resort to fraud by switching tabs and using their phones during the course of an interview, and so come through with flying colors despite a clear lack of skills. Consequently, deserving candidates with the requisite skill set lose out to impostors who manage to clear the interviews. In this paper, we propose an approach to make interviews straightforward and fair to all candidates. Our Online Interview Platform, a web application built using Node.js and Express.js, offers indispensable features that are prerequisites for an interview. These include a real-time collaborative code editor that uses an operational transformation algorithm which allows users to collaborate in real time, test and run code;a video/audio conferencing feature using Peer JS;a chat box for communication, and a real-time collaborative whiteboard that lets users design or draw diagrams. The features are included in the same tab, thus ensuring that the candidate does not switch tabs. Using this application, candidates will be screened based on their technical knowledge, appropriately assessed, and performance-based hiring decisions made. The proposed approach proved that the malpractices strictly restricted while comparing with existing approaches. © 2021
ABSTRACT
Real-time data has evolved to become an integral part of understanding events across different timelines. Machine Learning uses different varieties of algorithms to determine the relationship between sets of data spread across timelines, visualize the current situation, and forecast the future, which is the most important aspect. Due to the breakout of COVID-19, a novel coronavirus, the entire planet is currently experiencing a disastrous crisis. At this time, the SARS-CoV-2 virus has proven to be a possible hazard to human life. The ARIMA Model i.e., Autoregressive Integrated Moving Average is compared with Facebook's Prophet and VARMAX model to foretell the future. The dataset is divided into the training and testing set. The size of the COVID-19 dataset is relatively small as it is a pandemic that occurred recently, due to which much of the data is used for training purposes and the last twelve days have been used for testing and validating the model. The model is trained and fits on the training data set. The algorithms are now ready to anticipate future forecasts after it has been tested and trained. The models also record the predicted and actual values, allowing them to improve their accuracy in the future. In this paper, the results of the ARIMA model are compared against Prophet and VARMAX which are other popular machine learning time series models. For the ease of visualization of covid trends, a dashboard is built using Python's Plotly and Dash and has been deployed using Voila. © 2022 IEEE.
ABSTRACT
Sensor technology has become an integral part of the diagnosis, monitoring, therapeutic and surgical areas of medical science. Various sensors like glucose biosensors for diagnosis of diabetes mellitus or fluorescent sensors for gene expression and protein localization have become a common part of the biomedical field. Due to their widespread applications, various advances and improvements have taken place in medical sensor technology which has led to an increase in the ease and accuracy of diagnosis as well as treatment of diseases. This review article aims at studying various novel and innovative developments in biosensors, fibre optic sensors, sensors used for microelectromechanical systems, flexible sensors and wearable sensors. This article also explores new sensing methodologies and techniques in different medical domains like dentistry, robotic surgery and diagnosis of severe life-threatening diseases like cancer and diabetes. Various sensors and systems used for rapid detection of the SARS-CoV-2 virus which is responsible for the COVID-19 pandemic have also been discussed in this article. Comparison of novel sensor-based systems for detection of various medical parameters with traditional techniques is included. Further research is necessary to develop low cost, highly accurate and easy-to-use medical devices with the help of these innovative sensor technologies. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The need for mobile-based solutions for healthcare after COVID pandemic is more obvious than ever as mobile itself is an integral part of everyday life. m-Health is not an unfamiliar phenomenon, but despite the progress that has been made in this area, it is still difficult for m-health platforms to enter and stabilize in the market, especially in developing countries. So, in this study, we tried to prioritize the factors affecting the commercialization of m-Health and platforms. By reviewing related researches to the field of mobile health commercialization, 30 main effective indicators in mobile health commercialization were identified. After surveying experts and conducting exploratory factor analysis, these 30 indicators have been prioritized in 6 dimensions of efficiency and effectiveness, market, organizational and legal, technology and infrastructure, property and project management, and macro contexts. According to experts, the most important indicator is the timeliness of technology, and least important factor is the index of technology convergence with the laws and regulations in the field of health and treatment of the country. © 2022 IEEE.
ABSTRACT
Online Social Networks (OSN s) are an integral part of modern life for sharing thoughts, stories, and news. An ecosystem of influencers generates a flood of content in the form of posts, some of which have an unusually high level of engagement with the influencer's fan base. These posts relate to blossoming topics of discussion that generate particular interest among users: The COVID-19 pandemic is a prominent example. Studying these phenomena provides an understanding of the OSN landscape and requires appropriate methods. This paper presents a methodology to discover notable posts and group them according to their related topic. By combining anomaly detection, graph modelling and community detection techniques, we pinpoint salient events automatically, with the ability to tune the amount of them. We showcase our approach using a large Instagram dataset and extract some notable weekly topics that gained momentum from 1.4 million posts. We then illustrate some use cases ranging from the COVID-19 outbreak to sporting events. © 2022 IEEE.
ABSTRACT
In 1984, the film "The Terminator” predicted that a hostile Artificial Intelligence (AI) will threaten to extinguish humankind by 2029. Even though the real present is quite far from this post-apocalyptic scenario where AI rebels against its creator, a growing concern about the lack of ethical considerations in the use of AI is rapidly spreading, leading to the current "ethics crisis”. The lack of clear regulations is even more alarming considering that AI is becoming an integral part of new educational platforms. This follows the wave of digital transformation mainly induced by the Fourth Industrial Revolution, with advances in digitalization strategies, and the COVID-19 crisis, which forced education institutions worldwide to switch to e-learning. The appeal of AI is its potential to answer the needs of both educators and learners. For example, it can provide help grading assignments, enable tutoring opportunities, develop smart content, personalize and ultimately boost on-line learning. Although the "AI revolution” has great potential to improve and boost digital education, there are no clear regulations in place to ensure an ethical and fair use of AI. Therefore, this work aims to provide a comprehensive overview of the current concerns regarding fairness, accountability, transparency and ethics in AI applied to education, with specific focus on virtual laboratories. The main aspects that this work aims to discuss, and provide possible suggestions for, are: (i) ethical concerns, fairness, bias, equity, and inclusion;(ii) data transparency and digital rights, including data availability, collection, and protection;and, (iii) collaborative approach between disciplines. © 2022 SEFI 2022 - 50th Annual Conference of the European Society for Engineering Education, Proceedings. All rights reserved.
ABSTRACT
Creative industries were thought to be the most difficult avenue for Computer Science to enter and to perform well at. Fashion is an integral part of day to day life, one necessary both for displaying style, feelings and conveying artistic emotions, and for simply serving the purely functional purpose of keeping our bodies warm and protected from external factors. The Covid-19 pandemic has accelerated several trends that had been forming in the clothing and textile industry. With the large-scale adoption of Artificial Intelligence (AI) and Deep Learning technologies, the fashion industry is at a turning point. AI is now in charge of supervising the supply chain, manufacturing, delivery, marketing and targeted advertising for clothes and wearable and could soon replace designers too. Clothing design for purely digital environments such as the Metaverse, different games and other on-line specific activities is a niche with a huge potential for market growth. This article wishes to explain the way in which Big Data and Machine Learning are used to solve important issues in the fashion industry in the post-Covid context and to explore the future of clothing and apparel design via artificial generative design. We aim to explore the new opportunities offered to the development of the fashion industry and textile patterns by using of the generative models. The article focuses especially on Generative Adversarial Networks (GAN) but also briefly analyzes other generative models, their advantages and shortcomings. To this regard, we undertook several experiments that highlighted some disadvantages of GANs. Finally, we suggest future research niches and possible hindrances that an end user might face when trying to generate their own fashion models using generative deep learning technologies. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Social interaction through games is an integral part of the human experience, but in the wake of the COVID-19 pandemic, gameplay is more likely to be restricted. To support easier gameplay facilitation in a variety of settings, we propose a novel robot that deals cards for poker and encourages social interaction among players. We are working toward the design of such a robot using design thinking. Throughout the single cycle of our design thinking process so far, we worked with a poker-playing group of undergraduate STEM students and one expert in card-dealing and comedy. We found that the users enjoyed the design overall, but had reservations mostly related to competence of and trust in the system. This work contributes to the design of future robots for social play. © 2022 Copyright for this paper by its authors.
ABSTRACT
Technology is massive support in the current times in living our lives. Technology surrounds every day and every bit of our daily lives. The technological advancements and their acceptance also justify the need for a complete understanding across generations. We live in a society where older people are also an integral part of society. When we check them and their needs, especially during the COVID-19 pandemic and in these new normal times, we can see that their need and quick adaptation to the surrounding seem more obligatory. Therefore, the merger of technology with age is critical. Assessing their need and looking at their well-being and better living becomes the priority for every stakeholder living in our society. Technology comes as a powerful, liberating way of backing older adults. This research follows a systematic review of journal papers published between 2000–2022 and tries to check how other researchers looking for this merger of technology and ageing are reporting in this synthesis. A detailed scientific plan is followed in extraction and analysing the seminal work done in this area in the considered time period. The research identified and reported many diverse areas where researchers worked on understanding the merger between technology and ageing. The study reported the critical areas of the technology amalgamation with age and identified the gaps in the existing theories where the future direction of work can take place. The study also highlighted specific vital takeaways for the practitioner that can be considered the next big step in this advanced technology adoption in this new normal era. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
ABSTRACT
Population aging, which is so relevant not only in today's developed world, but also in developing countries. Given the aging of the Slovak population and its expected continuation, it is obvious that this topic deserves attention. The effort of today's society to pay intense attention to the issues of the lives of older people and to lend a helping hand if necessary is undoubtedly current and important. An aging person is exposed to a large number of changes, which can usually be described as physical, mental and social. There is no doubt that spatial movement or mobility is an integral part of human life;there is general agreement that there is an important relationship between mobility and the quality of life of older people. With advancing age, the representation of different modes of transport also changes. It turns out that with increasing years, the number of people preferring to drive as a driver gradually decreases. With the decline in car journeys, walking and public transport are becoming increasingly important among the older generation of seniors. The Covid 19 pandemic affected all walks of life;to a significant extent also the mobility of the population. In most European countries, the pandemic has led to a significant decrease in mobility, which has been reflected in a lower number of trips per day and a shortening of distances between routes. The pandemic also had an impact on travel in the Slovak Republic;closed schools, shops and domestic work caused a significant drop in public transport passengers. The pandemic has a particularly adverse effect on the mobility of seniors. The aim of our research was to identify current problems in the mobility of seniors in Slovakia and to assess the possibility of using senior taxis for this group of people. © 2022 Kaunas University of Technology. All rights reserved.
ABSTRACT
Meetings are an integral part of every company. During the meeting new ideas are generated, experiences are shared, decisions are made;therefore, it is necessary to make meetings more effective and productive. In today's digital age, which development was accelerated by the COVID-19 pandemic, different digital tools are being created which help to organise various meeting management stages in a more qualitative way. With the help of digital tools, it is possible to significantly facilitate the observance of meeting plans, preparation of the meeting minutes and sending meeting minutes to the participants. This study is based on data collected from a specific focus group that provided information about their company and meeting management experience. This group was selected as potential clients of meeting management tool Meetinch. Using the Chi-square Independence Test and Principal component analysis the quality of meeting organisation and the readiness of meeting organisers to pay for a meeting management tool depending on other factors were examined. It was concluded that planning a meeting and summarizing the results are important for a quality meeting organisation. The readiness of companies to pay for a meeting management tool depends on the sector of the company, number of employees, the number of participants at the meeting and the possibilities of summarising the meeting results. © 2022, Latvia University of Life Sciences and Technologies. All Rights Reserved.
ABSTRACT
Public administrations are an integral part of every state, which is currently changing to gradually correct the weak points of the past. Data and digital technologies are there to support this endeavor, yet the opportunities they offer are not still fully exploited in Europe, despite governments' intentions to digitize public administration for smoother and more accessible administrative procedures. In parallel, digital transformation, intensified by the exceptional circumstances of the COVID-19 crisis, is both imperative and inevitable for almost every aspect of the modern world and economy. This creates both new needs and solutions for public administrations. This paper aims to identify the open needs encountered by public administrations, involving reflections on available methodologies, data, and tools towards evidence-based policy making tailored to these needs. To accomplish that, knowledge, as represented by extensive desk research, was integrated with experience as the outcome of qualitative interviews with public administration experts from different countries. Key findings are discussed in detail concluding with a public administration needs ecosystem, mapping the needs, and uncovering similarities to support the replication of practices and procedures in different policy making settings. © 2022 IEEE.
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During pandemics, Intensive care units (ICUs) play a major role in providing necessary medical treatment to the patients and stabilizing dire situations. Mechanical ventilation systems are an integral part of ICUs in every medical facility. A Mechanical Ventilation system must provide accurate and fast tracking of a pre-set pressure profile. Therefore various controller designs are tested and analyzed in the presented paper for a blower-hose-patient mechanical ventilation system. The basic framework for the control problem, and necessary mathematical and simulation background is presented along with a comparative analysis of the designed control schemes. An attempt is also made to find an optimal controller design providing the desired system output with minimal trade-offs. © 2022 IEEE.
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Developing and implementing programming for pre-college and undergraduate racially and ethnically diverse (RED) students and faculty is an integral part of higher education, as it provides experiences and educational enrichment not often found in classrooms. For many practitioners, developing such programs includes tasks such as contacting speakers, securing classrooms, and arranging interactive activities to ensure a great student experience. Not on the task list: "hosting a virtual program in case of a global pandemic." As news circulated regarding the COVID-19 pandemic, schools and universities around the world took drastic measures to curtail the spread of the virus. Nearly 1,100 colleges and universities in the United States closed their campuses with only days' notice to faculty, staff, and students. COVID-19 caused the cancellation of in-person events and programs, while others quickly transitioned online. The transition online was not only a challenge to the program participants, but also to the practitioners implementing virtual educational programs. Many variables had to be considered to deliver impactful virtual instruction, such as applicable technology, accessibility, and the use of live or pre-recorded content. Moreover, creating equitable and impactful virtual programming that served racial, ethnic, and linguistically diverse individuals required the use of unique programming methods and techniques. © 2022 American Society for Engineering Education.
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Smartphone has become the 4th basic necessity of human being after Food, Cloths and Home. It has become an integral part of the life that most of the business and office work can be operated by mobile phone and the demand for online classes demand for all class of students have become a compulsion without any alternate due to the COVID-19 pandemic. Android is considered as the most prevailing and used operating system for the mobile phone on this planet and for the same reason it is the most targeted mobile operating system by the hackers. Android malware has been increasing every quarter and every year. An android malware is installed and executed on the smartphones quietly without any indication and user’s acceptance, that possess threats to the consumer’s personal and/or classified information stored. To address these threats, varieties of techniques have been proposed by the researchers like Static, Dynamic and Hybrid. In this paper a systematic review has been carried out on the relevant studies from 2017 to 2020. Assessment of the malware detection capabilities of various techniques used by different researchers has been carried out with comparison of the performance of different machine learning models for the detection of android malwares by assessing the results of empirical evidences such as datasets, features, tools, etc. However the android malware detection still faces several challenges and the possible solution with some novel approach or technique to improve the detection capabilities is discussed in the discussion and conclusion. © 2022, Springer Nature Switzerland AG.
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Due to the pandemic of COVID-19, many university courses had to abruptly transform to enable remote teaching. Adjusting courses on embedded systems and micro-controllers was extra challenging since interaction with real hardware is their integral part. We start by comparing our experience with four basic alternatives of teaching embedded systems: 1) interacting with hardware at school, 2) having remote access to hardware, 3) lending hardware to students for at-home work and 4) virtualizing hardware. Afterward, we evaluate in detail our experience of the fast transition from traditional, offline at-school hardware programming course to using remote access to real hardware present in the lab. The somewhat unusual remote hardware access approach turned out to be a fully viable alternative for teaching embedded systems, enabling a relatively low-effort transition. Our setup is based on existing solutions and stable open technologies without the need for custom-developed applications that require high maintenance. We evaluate the experience of both the students and teachers and condense takeaways for future courses. The specific environment setup is available online as an inspiration for others. © 2022 ACM.
ABSTRACT
The article prepared for publication contains material on digitalization that is an integral part of the life of modern society, providing acceleration of economic processes and saving time and resources in almost all sectors of the economy, including education as the fundamental basis of human development. The purpose of the study is to provide in-depth justification of the prospects of digital technologies in the educational process for its qualitative improvement and subsequent growth of labor productivity and strengthening of national economic potential. Its achievement is focused on revealing the place and role of digitalization for education and substantiating the needs of relevant institutions in it with an emphasis on the pandemic period. The solution of the formulated tasks is carried out by using monographic and dialectical methods that help to systematize and improve the accumulated knowledge about education and the scientific and technical achievements used in it on the basis of the identified advantages and interpretation of their semantic content. These advantages are driving factors in the development of educational processes. The material presented in the article is useful for managers, specialists involved in the development of educational processes, as well as teachers of pedagogical directions. © 2022 IEEE.
ABSTRACT
BACKGROUND The major aim of this discussion is to spotlight the ageism that has appeared during the COVID-19. Here we discusses about how the older people are wrongly presented in our community and their less value in the society. During this pandemic, covid-19 was resulted into major cause of death for older adults.Ageism is generally seen in the western and developing societies and here, older people are seen with false beliefs and judgments. To overcome this, the health authorities should consider older adults to be an integral part of the population, they should not feel burdened by them. OBJECTIVE The article provides a review of the literature on behaviour and attitudes toward ageism and older adults in the world and discusses the facts and findings on the basis of the review of literature on ageing, age stereotypes, impact of ageism on older people as well as their link toculture and society. METHODS This review articles was published from June 2020 to January 2021 and indexed in the electronic databases Web of Science, PubMed, and WHO official website. Electronic searches were made with visual scanning of reference lists and hand searching of leading journals in the field of ageing and social gerontology. RESULTS During covid-19 pandemic, flexibility of old age should be adopted. Here the treatment should be depends upon chronological age as well as on values and preferences of people. An alternative framework must be established which shows the negative impact of the corona virus on the population. We must stop saying terms called social distancing and better call the best appropriate term such as physical distancing.In the social world, the major asset of emergency situations is intergenerational relation without this relation the life of older people become vulnerable. CONCLUSION In this article, advocates and public health researcher share their opinion about ageism, and try their efforts to reduce the perspective of people towards the older adults that appeared at the time of covid-19. This pandemic shows high mortality rates for older adults than younger adults. We cannot afford to be inattentive for the lost lives caused by ageist behaviour and attitudes. We need to think about of what will happen if we let ageism influence,and how thediscussion and treatment of old people affects during and after the pandemic. © The Electrochemical Society
ABSTRACT
The use of technology in supporting business processes has become an integral part of business in the post-pandemic era. This study focuses on two aspects of technology which are digitization and digitalization of business processes in tourism industry in Malaysia. Due to movement constraints in Covid-19 pandemic, most of the related studies are conducted based on media report, peered review articles and research letters or empirical articles. There is a lack of case study to examine the effectiveness of various factors and how these factors impact the recovery of the post- pandemic tourism industry. A research case in earlier study implies that digitization and digitalization have an impact in recovery of tourism industry and insight gained motivates this study on effectiveness of smart tourism in Malaysia. Hence, this study aims to investigate effectiveness of smart tourism by using a self-developed mobile application which enables multiple trips organize in Kuala Lumpur, Malaysia. Test cases are conducted among eleven managers in travel agencies and positive feedback are collected on system quality, perceived mobility, mobile usefulness, mobile ease of use and usage intention. Findings show that ICT has a major role in reviving business processes when tourism enters recovery phase. The study also discovered the importance of understanding the new patterns emerging which may include new tour packages or travel destinations that are emerging in future. In future work, artificial intelligence or machine learning based smart tourism models are introduced to analyse the new pattern emerging. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.