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Bali is one of the islands known as a tourist destination with the main purpose of traveling to Bali to enjoy the beauty of nature. Various tourist activities in Bali are well known both nationally and internationally. With so many types of tours available in Bali, travelers, especially first-time visitors, may need a guide on the tourist attractions they want to visit in Bali. However, some tourists, especially backpackers, backpackers are known to explore tourist attractions independently, freely, and with as little budget as possible. Concerning this statement and the decline in tourists to Bali due to the impact of the Covid-19 pandemic, the author decided to use the Haversine formula to develop a geographic information system for smart backpacker travel recommendations. with this problem. This Android application helps tourists travel from registration to tour guides. Implementing the Haversine formula in your app is equivalent to up to 88% of the distance reported by the Google Maps API. These results are used as a recommendation function for the selection of attractions by showing the distance between the previous backpacker's location selection and attractions. © 2022 IEEE.
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Our work describes a smart-ecosystem able to monitor patients' health condition, even at home or at work, by exploiting a creative blend of Medical Wearables, Intelligent Agents, Complex Event Processing and Image Processing. With the help of a smart application, that links together the Wearables and the power of Artificial Intelligence, patients will be continuously and actively supervised during their daily activities. This can even save their lives, in case sudden or gradual issues should occur. Thanks to our system, patients with non-severe though potentially unstable chronic diseases will no longer overburden first aid services. This is also useful for containing the spread of COVID-19. Specifically, in this paper we focus on automated vitals monitoring, electrocardiogram (ECG) analysis, and Psoriasis detection. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
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Wearable technology has enormous promise, particularly for data collection for cutting-edge health research, and its popularity has soared in recent years. This study aims to provide IoT-based wearable devices’ effectiveness and potential cybersecurity threats to these innovative technologies. Using the PRISMA-2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, we conducted a scoping study to understand better the application of inexpensive, consumer-grade wearables for health research from a population health viewpoint. Scopus databases yielded a total of 43 articles. Our findings show that academics and research participants are tremendously interested in this technology, but they are also wary about using wearables. These devices are still vulnerable to cybersecurity assaults such as data privacy and security in healthcare. However, blockchain technology is a potential alternative for integrating with IoT-based wearables to ensure data privacy. Furthermore, according to the findings, wearables have an increasingly diverse range of applications, including COVID-19 prediction, fertility tracking, heat-related sickness, pharmacological effects, and psychological therapies;they also include underrepresented populations, such as those with rare diseases. In low-resource environments, there is a lack of research on wearable devices. © 2022. International journal of online and biomedical engineering. All Rights Reserved.
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Background: Physical activity is an essential need of the human body that helps improve the physical fitness of an individual and creates a positive impact on overall wellbeing. Smartphone applications play an essential role in providing several benefits to consumers by offering various capabilities in terms of health and fitness.COVID-19 preventive measures shut down public places, and people cannot go to the gym and parks for physical activity. Smart applications for physical activity are an effective way to keep active while staying at home. Objective: The objective of the present study was to assess the mediating role of the e-platforms physical activity among the Chinese people in China during the COVID-19 lockdown. Method: The participants in this study were Chinese citizens living in home isolation during the early stages of the epidemic in China. The primary data was collected via an online survey using a convenience sample strategy in accordance with the study purpose. The collected data were cleaned by using the SPSS-25 statistical software. SmartPLS 3.0 software was used to investigate the suggested study framework utilizing the structural equation modeling technique. Results: Descriptive statistics shows that the ratio of gender includes 49% (n = 2,626) male and 51% females in the entire sample. SEM results show that all hypotheses (H1: ß = 0.497, T = 43.068, P = <0.001; H2: ß = 0.498, T = 41.078, P = <0.001; H3: ß = 0.498, T = 41.078, P = <0.001; H4: ß = 0.471, T = 39.103, P = <0.001; H5: ß = 0.468, T = 42.633, P = <0.001; H6: ß = 0.251, T = 11.212, P = <0.001; H7: ß = 0.367, T = 16.032, P = <0.001; H8: ß = 0.170, T = 13.750, P = <0.001; H9: ß = 0.125, T = 10.604, P = <0.001; H10: ß = 0.173, T = 14.842, P = <0.001) were statistically confirmed. Conclusion: In COVID-19, when there are limited physical activity resources, smart applications play an essential role as an alternative to gyms and change people's perspective regarding the adoption of health and fitness. Smart applications have made exercise and physical activity accessible and convenient to adopt.
Subject(s)
COVID-19 , Mobile Applications , Virtual Reality , COVID-19/epidemiology , COVID-19/prevention & control , Communicable Disease Control , Exercise , Female , Humans , MaleABSTRACT
Recent developments in Internet of Things (IoT) have significantly changed modern lifestyles through linkages of smart objects and smart applications that can be controlled anytime anywhere in the world. It is expected that as of 2021, more than 35 billion devices are connected with each other under the broad IoT umbrella. The autonomous nature of IoT brings an opportunity for virtual representation and unique identification of devices, applications, and services. Lower costs, lower levels of energy consumption, higher levels of outputs, smart and user-friendly precincts, and others are some factors behind rising popularity of IoT, which is also becoming more effective in providing higher levels of security and reducing errors and abuses. In this paper, we describe a model of smart dustbin designed and configured by the authors, and explain how the smart dustbin model can be applied efficiently to achieve smart environmental goals. This example of smart dustbin application can be adopted by cities and communities to maximize public health and hygiene objectives in smarter ways, and to curb negative impacts of public health crises situations such as the ongoing COVID-19 pandemic and other infectious diseases that may bring any type of pandemic in the future. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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As the world is transitioning into a tech-savvy era, the twenty-first century is evidence of many technological advancements in the field of AI, IoT, ML, etc. Mobile Cloud computing (MCC) is one such emerging technology, providing services regardless of the time and place, contours the limitations of mobile devices to process bulk data, providing multi-platform support and dynamic provisioning. Not only there is an enhancement in computation speed, energy efficiency, execution, integration, but also incorporates considerate issues in terms of client-to-cloud and cloud-to-client authentication, privacy, trust, and security. Reviewing and overcoming addressed concerns is essential to provide reliable yet efficient service in nearing future. Mobile Cloud Computing has the potential to bring wonders in the fields such as education, medical science, biometry, forensics, and automobiles, which could counter the challenges faced in the ongoing COVID-19 Pandemic. To combat the prevailing challenges due to COVID-19, it has become critical that more efficient and specialized technologies like Mobile Cloud Computing are accepted that enable appropriate reach and delivery of vital services by involving gamification, cloud rendering, and collaborative practices. This paper provides a detailed study about MCC, mitigated security and deployment attacks, issues, applications of MCC, providing developers and practitioners opportunities for future enhancements. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The smart revolution has penetrated in a wide range of applications. Smart campus, as the high-end form of education systems, deploys cutting-edge information and communication technologies to enhance the effectiveness and efficiency of campus services. Under the pandemic of COVID-19, smart campus has shown unprecedented importance owing to its remote, personalized, and ubiquitous features. All these factors have made smart campus an ongoing intense research topic in recent years, whereas existing reviews on smart campus were conducted in earlier years and thus an update is imperatively needed to investigate and summarize the emerging knowledge, technologies, and applications in this context. This paper conducts a systematic review on smart campus technologies and applications, and then strategically classifying them into different domains to investigate the current research pattern. Moreover, adhering to the human-centered principle of smart campus development, a human-centered case study has been carried out and presented in this paper to evaluate the consistency and adherence of current research trend to the stakeholders needs and interests. Author
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The success of Internet of Things (IoT) deployment has emerged important smart applications. These applications are running independently on different platforms, almost everywhere in the world. Internet of Medical Things (IoMT), also referred as the healthcare Internet of Things, is the most widely deployed application against COVID-19 and offering extensive healthcare services that are connected to the healthcare information technologies systems. Indeed, with the impact of the COVID-19 pandemic, a large number of interconnected devices designed to create smart networks. These networks monitor patients from remote locations as well as tracking medication orders. However, IoT may be jeopardized by attacks such as TCP SYN flooding and sinkhole attacks. In this paper, we address the issue of detecting Denial of Service attacks performed by TCP SYN flooding attacker nodes. For this purpose, we develop a new algorithm for Intrusion Detection System (IDS) to detect malicious activities in the Internet ofMedical Things. The proposed scheme minimizes as possible the number of attacks to ensure data security, and preserve confidentiality of gathered data. In order to check the viability of our approach, we evaluate analytically and via simulations the performance of our proposed solution under different probability of attacks. © 2022 Tech Science Press. All rights reserved.