A moderated mediation model of smart-device use: work-family conflict and well-being by age

PurposeSmart device use for work during family time is a growing issue of concern and is likely exacerbated by the COVID-19 pandemic. The authors test a broad range of well-being outcomes (job anxiety, job depression and insomnia) to extend the literature. Work-family conflict was included as a mediator with age as a moderator.Design/methodology/approachThe study uses representative data from 422 New Zealand employees across a wide range of occupations, sectors, and industries from late 2020. Confirmatory factor analysis (CFA) of the data was used and moderated mediation analysis was conducted.FindingsOverall, hypotheses were supported, with mWork positively influencing work-family and family-work conflict, and all well-being outcomes. Work-family and family-work conflict acted as mediators and age interacted with mWork leading to more conflict for older workers. Finally, moderated mediation effects were supported with age acting as a boundary condition, whereby the indirect effect of mWork on well-being outcomes increases as age increases.Research limitations/implicationsThe findings highlight the danger of using mobile devices to work in family time and highlight the additional risks for older workers.Originality/valueThe mWork literature has a limited focus on well-being outcomes, and the New Zealand data provides insights from a largely underrepresented population in the literature. Further, the use of age as a moderator of mWork towards well-being outcomes provides further originality.

An investigation into the use of smart home devices, user preferences, and impact during COVID-19.

With the goal of designing smart environments that can support users' physical/mental well-being, we studied users' experiences and different factors that can influence success of smart home devices through an online study conducted during and after the COVID-19 restrictions in June 2021 (109 participants) and March 2022 (81 participants). We investigated what motivates users to buy smart home devices, and if smart home devices may have the potential to improve different aspects of users' well-being. As COVID-19 emphasized a situation where people spent a significant amount of time at home in Canada, we also asked if/how COVID-19 motivated purchase of smart-home devices and how these devices affected participants during the pandemic. Our results provide insights into different aspects that may motivate the purchase of smart home devices and users' concerns. The results also suggest that there may be correlations between the use of specific types of devices and psychological well-being.

Smart Device for CO2 Measuring and Supplementing with O2 Using IOT

Globally, atmospheric carbon dioxide (CO2) concentration is rising due to rising carbon-based fuel consumption and ongoing deforestation. As carbon dioxide levels grow due to the warming trend, the atmosphere's temperature is predicted to climb. Increased fatigue, headaches, and tinnitus are just a few health issues that high CO2 concentrations in the atmosphere can cause. The electrical activities of the brain, the heart, and the lungs have all been demonstrated to change significantly after a brief exposure to 0.1 percent CO2. Continuous measurements of the atmospheric CO2 content have recently been shown to help evaluate the ventilation conditions in buildings or rooms. Additionally, it prevents the development of the severe acute respiratory syndrome coronavirus 2 (Severe acute respiratory). The coronavirus, known as a powerful acute respiratory, can make people ill. This has grown to be a significant concern in emergency medicine. © 2022 IEEE.

Impact of VA's video telehealth tablets on substance use disorder care during the COVID-19 pandemic.

BACKGROUND: Telehealth has the potential to improve health care access for patients but it has been underused and understudied for examining patients with substance use disorders (SUD). VA began distributing video-enabled tablets to veterans with access barriers in 2016 to facilitate participation in home-based telehealth and expanded this program in 2020 due to the coronavirus COVID-19 pandemic. OBJECTIVE: Examine the impact of VA's video-enabled telehealth tablets on mental health services for patients diagnosed with SUD. METHODS: This study included VA patients who had ≥1 mental health visit in the calendar year 2019 and a documented diagnosis of SUD. Using difference-in-differences and event study designs, we compared outcomes for SUD-diagnosed patients who received a video-enabled tablet from VA between March 15th, 2020 and December 31st, 2021 and SUD-diagnosed patients who never received VA tablets, 10 months before and after tablet-issuance. Outcomes included monthly frequency of SUD psychotherapy visits, SUD specialty group therapy visits and SUD specialty individual outpatient visits. We examined changes in video visits and changes in visits across all modalities of care (video, phone, and in-person). Regression models adjusted for several covariates such as age, sex, rurality, race, ethnicity, physical and mental health chronic conditions, and broadband coverage in patients' residential zip-code. RESULTS: The cohort included 21,684 SUD-diagnosed tablet-recipients and 267,873 SUD-diagnosed non-recipients. VA's video-enabled tablets were associated with increases in video visits for SUD psychotherapy (+3.5 visits/year), SUD group therapy (+2.1 visits/year) and SUD individual outpatient visits (+1 visit/year), translating to increases in visits across all modalities (in-person, phone and video): increase of 18 % for SUD psychotherapy (+1.9 visits/year), 10 % for SUD specialty group therapy (+0.5 visit/year), and 4 % for SUD specialty individual outpatient treatment (+0.5 visit/year). CONCLUSIONS: VA's distribution of video-enabled tablets during the COVID-19 pandemic were associated with higher engagement with video-based services for SUD care among patients diagnosed with SUD, translating to modest increases in total visits across in-person, phone and video modalities. Distribution of video-enabled devices can offer patients critical continuity of SUD therapy, particularly in scenarios where they have heightened barriers to in-person care.

Covid-19 Vest for Social distancing and Monitoring

In recent years, due to the rise in the number of novel coronaviruses across the globe nations step forward to stop the crisis. With guidelines of the WHO many methodologies came into existence to prevent the spreading of coronavirus. My SD: A Smart Social distance and Monitoring System takes advantage of the features of the smartphone's hardware which usually has Bluetooth transmitter-receiver, like GPS to determine the safe distance and required level of compliance. Through artificial intelligence, this new smart device helps maintain uniform social distance and detect COVID 19 patients. In these COVID 19 environments, everyone knows how safe they are. In this paper, we have automated the process whereby the layman can control himself without any priming which makes the system more user-friendly for the public. The user himself or herself can monitor body temperature, social distancing and get an alert in abnormal selfisolation conditions using contactless thermometer, ultrasonic sensors, and GSM modules. © 2022 IEEE.

Technology and HealthCare in the Coming Era

The fast-emerging technologies in this century fueled by covid19 crises has taught every stakeholder (technology giants, pharmacists, hospitals, patients etc.) a great lesson. Hospital with good healthcare system will have some of these technologies while there are least developed countries with no infrastructure and no technology. Using technology in healthcare will change the working of existing healthcare system to brighter one. This paper will portray different technology trends like Artificial Intelligence, Machine Learning, Block chain, Robotic Surgery, Smart devices, telemedicine and so on. The promises and the obstacles with impact of the technology are discussed too. © 2022 IEEE.

Analysis and Categorization of Emotet IoT Botnet Malware

To provide the ease control and remote monitoring, Internet of Things (IoT) plays an important role in smart devices. The IoT system ranges from smart city to healthcare sector, and supply chain management. This extent of advancement generated a huge amount of data which may be the reason of malware threats of the IoT system. IoT Malware is a threat which may affects all sectors such as business, network, telecoms, media, military, etc. The recent report claimed the proliferation of global cost of malware estimated that till 2023 it would be around 8 trillion dollars annually which may double due to coronavirus outbreak. The analysis of IoT malware needs serious concern as now warfare and digital retaliation can cause serious damage than the war lead on ground. The major aim of this paper is performing the critical analysis of an IoT malware named Emotet. The IoT malware analysis can be categorized in two types such as static and dynamic malware analysis. Static analysis is the process of analyzing malware or binary without executing it. It is considered a more effective method when it comes to the diversity of processor architecture. While dynamic analysis is based on the detection of malware and its behavior with real-time execution. This paper focused on the testbed and Analysis of Emotet malware statically and dynamically using distinguished malware analysis tools. © 2023 IEEE.

Smarte Inclusion - guided through complex tasks with the RehaGoal app.

The mobile application RehaGoal app is presented for people with acquired and congenital brain damage who have difficulties with complex planning tasks. The development of the RehaGoal app was based on the Goal Management Training approach, which focuses on breaking down an overarching goal into sub-goals and manageable steps to achieve them. So far, this approach has been paper-based, which makes it difficult to transfer to everyday life. Therefore, the RehaGoal app, which can be used on various digital devices such as smartphones, smartwatches, etc., was developed. Our target group often has additional limitations, which is why the RehaGoal app has a barrierfree design, voice output, visual display options, a user-dependent display, simple menu navigation and an authoring system. We illustrate the possible applications of the RehaGoal app with patients in outpatient neuropsychological rehabilitation, during vocational reintegration and during lockdown due to COVID-19.Copyright © Hippocampus Verlag 2023.

An experience in the use of SCRUM and KANBAN for project development in a Waterfall environment

SIDIA R&D Institute is responsible for developing, validating, and localizing the Android Operating System (Android OS) used in smart devices, such as smartphones and tablets, sold in Latin American countries. Traditionally, SIDIA's Model department is responsible for such development, and it is comprised of smaller teams working on individual Android components. For example, the Application team works on the Android's System Apps layer, such as Photo Gallery and Phone Dialer. Like all Model's teams, the Application employs the Waterfall methodology, a straightforward and widespread software development framework. However, the Application team can receive requests to work on projects unrelated to its primary activities. In these cases, the Waterfall methodology is unsuitable because it follows a linear pipeline [1], making it challenging to work on multiple and simultaneous projects. Hence, the present paper aims to report the experience of the Application team in transitioning from a pure Waterfall environment to a mix of Waterfall and Agile methodologies. Specifically, the team applied the SCRUM and KANBAN methodologies in four independent projects. The challenges caused by this culture change and the COVID-19 pandemic, which forced our workforce to work from home, are reported here. Furthermore, the team used Retrospective and Post-Mortem meetings to gather feedback from members about their experience with these new methodologies. © 2021 ACM.

Machine learning-based IoT system for COVID-19 epidemics

The planet earth has been facing COVID-19 epidemic as a challenge in recent time. It is predictable that the world will be fighting the pandemic by taking precautions steps before an operative vaccine is found. The IoT produces huge data volumes, whether private or public, through the invention of IoT devices in the form of smart devices with an improved rate of IoT data generation. A lot of devices interact with each other in the IoT ecosystem through the cloud or servers. Various techniques have been presented in recent time, using data mining approach have proven help detect possible cases of coronaviruses. Therefore, this study uses machine learning technique (ABC and SVM) to predict COVID-19 for IoT data system. The system used two machine learning techniques which are Artificial Bee Colony algorithm with Support Vector Machine classifier on a San Francisco COVID-19 dataset. The system was evaluated using confusion matrix and had a 95% accuracy, 95% sensitivity, 95% specificity, 97% precision, 96% F1 score, 89% Matthews correlation coefficient for ABC-L-SVM and 97% accuracy, 95% sensitivity, 100% specificity, 100% precision, 97% F1 score, 93.1% Matthews correlation coefficient for ABC-Q-SVM. In conclusion, the system shows that the process of dimensionality reduction utilizing ABC feature extraction techniques can boost the classification production for SVM. It was observed that fetching relevant information from IoT systems before classification is relatively beneficial. [ FROM AUTHOR] Copyright of Computing is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Smartdevice use in a COVID‐19 world: Exploring work–family conflict and turnover intentions

Technology has made life more complex, and mobile working (mWork) captures the way employees' smart‐device use (e.g. smartphones, laptops etc.) can facilitate working during family time at home and what the effects of this use are. Engaging in mWork is expected to be detrimental to employee outcomes. In this study, mWork is explored as it relates to turnover intentions and work–family and family–work conflict, with conflict expected to mediate the influence on turnover. Furthermore, given the potential dynamics from gender and parental status, these are both included as moderators, and ultimately a moderated mediation model is tested. Using data from 419 New Zealand employees just after New Zealand's lockdown finished in May 2020, there is overall strong support found for the direct and mediation hypotheses. Overall, mWork influences turnover intentions by blurring the line between work and personal life (leading to higher work–family and family–work conflict), and these also influence turnover intentions. [ABSTRACT FROM AUTHOR] Copyright of Asia Pacific Journal of Human Resources is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

UV-C Disinfection Smart Device

SARS-CoV-2 started a global epidemic that resulted in COVID-19, a real infectious disease that disrupted regular living all over the world. Sterilizing our hands is crucial since the virus and other diseases are spread by touching contaminated surfaces. In this manuscript, a prototype for low-cost sterilisation is created that uses an IR thermal sensor to measure temperature and UV C light rays to disinfect our hands. Numerous bacteria are affected throughout the sanitization process, which has a number of advantages over chemical-based sanitization techniques. In contrast to relevant, it is also easy to customise. There are proprietary devices that can be purchased commercially. This gadget is an excellent illustration of open-source technology. automatic, quick, and safe hand sanitising device. © 2022 IEEE.

Role of Wearable Sensing Technology to Manage Long COVID.

Long COVID consequences have changed the perception towards disease management, and it is moving towards personal healthcare monitoring. In this regard, wearable devices have revolutionized the personal healthcare sector to track and monitor physiological parameters of the human body continuously. This would be largely beneficial for early detection (asymptomatic and pre-symptomatic cases of COVID-19), live patient conditions, and long COVID monitoring (COVID recovered patients and healthy individuals) for better COVID-19 management. There are multitude of wearable devices that can observe various human body parameters for remotely monitoring patients and self-monitoring mode for individuals. Smart watches, smart tattoos, rings, smart facemasks, nano-patches, etc., have emerged as the monitoring devices for key physiological parameters, such as body temperature, respiration rate, heart rate, oxygen level, etc. This review includes long COVID challenges for frequent monitoring of biometrics and its possible solution with wearable device technologies for diagnosis and post-therapy of diseases.

Stress Management Design Guideline with Smart Devices during COVID-19

Background Stress among the general population has been steadily increasing, and the COVID-19 outbreak across the globe amplified stress by changing how we live our daily lives. As the social cost of stress increases and individual lives become devastated, managing stress becomes a critical issue. Government organizations suggest general guidelines to cope with stress during the COVID-19 pandemic. Also, smart devices such as smartwatches and smartphones detect and monitor physiological data as an integral part of our daily life, enabling us to recognize our stress level anytime, anywhere. However, there is a lack of studies regarding stress-relieving methods with smart devices. Methods We proposed a stress management flow correlating the human cognitive process with smart device interventions. Then, we developed a step-by-step guideline on a smartphone paired with a smartwatch to relieve physical stress with lack of movement, psychological stress with fear from uncertainty, psychosocial stress with loneliness and social isolation, and psycho-spiritual stress with limitations for faith community routine during COVID-19. We recruited 24 university students as participants (8 males, 16 females), and we measured perceived stress scale (PSS) score based on the case study to verify the new design guidelines. The participants ranged in age from 20 to 25 years (mean age = 22.08). We used 14 stress measurement questions to calculate the PSS (PSS maximum = 56). In addition, we used a one-way ANOVA to analyze the PSS results. Results In general, the results of one-way ANOVA for total PSS indicated a noticeable difference between before and after the prototype (F = 33.47;p < 0.01). The mean scores were 33.25 before the prototype and 28.13 after the prototype in the statistical analysis. Findings from this study advocated our new design guidelines with smart devices that help relieve stress but there are limitations such as constrained recruiting sample and the duration of the prototype testing, fundamental difference between short-term and long-term stresses, and limited scope of stress categories and smart devices. Conclusions This study's contribution is to expand smart device's usage to stress relief during COVID-19, not only limited to stress measurement. From this study, we hope to open a discussion on the role of smart devices to manage stress and how to design guidelines for user's quality of life. © This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted educational and non-commercial use, provided the original work is properly cited.

RFID-based Multi-purpose Smart Post Boxes in Smart Cities

In IoT (Internet of Things), the concept of a Smart City integrates technologies and physical devices in various fields of deployment. One such instance is logistics. With the increasing popularity and need for online shopping, the e-commerce sector is growing-which goes hand in hand with the logistics industry. The logistics industry keeps growing and is gaining more and more importance-and so do the delivery solutions in the last-mile part of the logistics chain. The last-mile delivery offers a lot of possibilities for new and complexly integrated smart solutions. We propose a new solution for smart delivery services on the last mile. We call it a Smart Post Box. This concept combines various elements and creates a multi-purpose smart city solution that can be easily integrated into different systems. It introduces new ways to receive and send packages, integrates as a part of a smart household, sends notifications, and can be used to collect valuable data. During the current coronavirus outbreak, this solution would prove to be useful in reducing interpersonal contact and thus help eliminate the transfer of the disease. Our calculations show great potential for such innovation. © 2022 IEEE.

The future of personalized care for vascular patients: an industry perspective.

Healthcare has entered a brave new world in the early part of the 21st century: the landscape has changed and continues to change rapidly, evolving at a rate as never seen before. Fuelled by technological advancement, big data analytics, and the explosion of apps and sensors, as well as by telemedicine and remote monitoring needs driven by the COVID-19 pandemic, the healthcare ecosystem is metamorphosing literally before our eyes. So, what is the role for the Medtech industry as healthcare systems reshape themselves to address emerging patients' needs and desires, and how can the use of data and novel technologies be leveraged to bring about the kind of change needed to deliver truly holistic patient care?

Video Alignment of Lecture Notes Missing Corners

During the Covid-19 pandemic, generating content for live online lectures was challenging for many instructors who were not used to teaching remotely. In this paper, our major goal is to capture educational material for online classes to be efficiently delivered to students with minimal technological requirements using a smart device. For effective delivery of material, the main focus in this work is to capture the paper where the lecture content is written or drawn. However, video alignment becomes challenging since i) some of the corners of the paper may not be visible, ii) the background of text is predominantly light colored, and iii) the front text is composed of small letters aligned over the background. We propose a novel method for integrating content printed or written on a paper by computing paper corners analytically and using a machine learning algorithm. These image corners are used for image alignment and then image stitching. The image transformation is computed locally for missing areas and applied globally to maintain the legibility of the text. Our experiments quantitatively show that detecting corners analytically and using machine learning algorithms enable image stitching effectively. © 2022 IEEE.

WiFi-Crowd Spy: A novel crowd-counting system

Currently, there is a requirement in many countries to keep public and work spaces safe due to COVID-19. In fact, indoor spaces must be monitored to control the allowed capacity, which can vary depending on the alert level of a city at a given time. This has motivated some researchers to investigate several technologies to implement methods and strategies to enable the reopening of these spaces in a safe manner. In this paper, we propose a crowd counting detection system that this paper, we propose a crowd counting detection system that addresses the problem of controlling the indoor capacity of offices inside buildings. The proposed solution uses an existing communication technology such as WiFi in order to determine the crowd counting for the indoor environment. In particular, the existing infrastructure consists of two Wireless LAN Controllers (WLC) and several APs deployed in a building, which allows us to estimate the number of people based on the access to Wireless Access Points (APs). Thus, the proposed system takes into account when a mobile device connects/disconnects to the AP to increase or decrease the number of people in a particular office and sends the respective alert to the system administrator when this capacity is about to be exceeded or already surpassed. © 2022 IEEE.

Towards an African cybersecurity community of practice

In recent years cybersecurity challenges and concerns have become a common theme for discussion by both the government and private sector. These challenges are partly brought on by the continued use of and dependence on information technology, such as the internet, wireless networks and the development and use of smart devices. Additionally, the Covid-19 pandemic has also led to the increase in internet use as it altered the way in which people live and work through forcing businesses and even schools to move to remote working. All these events have made cybersecurity challenges and concerns spiral and more so in Africa where cybercrime continues to rise and be a constant threat. This study proposes a cybersecurity community of practice as a strategy to address African contextual cybersecurity challenges. This qualitative enquiry, based on organizations on the African continent, identifies key characteristics and objectives of an African cybersecurity CoP. These findings provide practical implications for CoP African members and a steppingstone on what to consider prior to implementing an African CoP for addressing cybersecurity challenges and concerns. © 2022, EasyChair. All rights reserved.

Effect Of 5G On IOT And Daily Life Application

As going to word using the 5G in some of the countries and many country are going to move to use this technology we want to know what this technology will give to the users and what will be the states of user experience while using this technology, during the last two years we have seen completely shift in education, work, shopping, gaming, streaming, meeting and many other activates it all shift into an online mode due to the covid-19 pandemic and that but high data rate low latency internet in the top list of the user requirement list this two service is the promised things of 5G and what will be the change and the effect in our daily life application with this technology something like IOT will be the main thing to have in every home, Industry, school, Hospital, City, country. How could this technology improve the use and the processing of all these applications that what we are going to discuss in this paper. © 2022 IEEE.