ABSTRACT
Ubiquitous environments are not fixed in time. Entities are constantly evolving;they are dynamic. Ubiquitous applications therefore have a strong need to adapt during their execution and react to the context changes, and developing ubiquitous applications is still complex. The use of the separation of needs and model-driven engineering present the promising solutions adopted in this approach to resolve this complexity. The authors thought that the best way to improve efficiency was to make these models intelligent. That's why they decided to propose an architecture combining machine learning with the domain of modeling. In this article, a novel tool is proposed for the design of ubiquitous applications, associated with a graphical modeling editor with a drag-drop palette, which will allow to instantiate in a graphical way in order to obtain platform independent model, which will be transformed into platform specific model using Acceleo language. The validity of the proposed framework has been demonstrated via a case study of COVID-19. © 2023 IGI Global. All rights reserved.
ABSTRACT
IoT-based smart healthcare system allows doctors to monitor and diagnose patients remotely, which can greatly ease overcrowding in the hospitals and disequilibrium of medical resources, especially during the rage of COVID-19. However, the smart healthcare system generates enormous data which contains sensitive personal information. To protect patients’privacy, we propose a secure blockchain-assisted access control scheme for smart healthcare system in fog computing. All the operations of users are recorded on the blockchain by smart contract in order to ensure transparency and reliability of the system. We present a blockchain-assisted Multi-Authority Attribute-Based Encryption (MA-ABE) scheme with keyword search to ensure the confidentiality of the data, avoid single point of failure and implement fine-grained access control of the system. IoT devices are limited in resources, therefore it is not practical to apply the blockchain-assisted MA-ABE scheme directly. To reduce the burdens of IoT devices, We outsource most of the computational tasks to fog nodes. Finally, the security and performance analysis demonstrate that the proposed system is reliable, practical, and efficient. IEEE
ABSTRACT
Consider the most important lessons learned from the global achievements and disappointments of the previous year. It was a year filled with pandemics that exacerbated massive geopolitical, social, and economic shocks on a worldwide scale, bringing out the worst and best in people. However, the past two years have demonstrated the fragility of global institutions in numerous industries, including medicine, hospitality, travel, and commerce. It also reflects the resilience of the international system with the introduction of various vaccinations and concentrated worldwide efforts against pandemic threats. Conventional and cutting-edge technology approaches are needed to attack COVID-19 and put the situation under control. This paper's primary purpose is to systematically study trends in technology solutions for smart healthcare systems - for example, artificial intelligence (AI) and big data (BD) analytics, which will help save the world. These AI solutions facilitate innovative administrations, adaptability, productivity, and efficiency by developing related frameworks. Specifically, this study identifies AI and Big Data contributions that should be incorporated into smart healthcare systems. It also studies the application of big data analytics and AI to offer users insights and help them to plan and presents models for intelligent healthcare systems based on AI and big data analytics. © 2023 IEEE.
ABSTRACT
This work presents the development of an individual protection device, a smart and active ventilated face shield that can also incorporate an air filtering system. The device can work with the front shield or just with the ventilation structure. The system was produced by additive manufacturing technology, based on a chassis that incorporates an electronic control unit, a rechargeable battery, a fan, and a humidity/temperature sensor. The performed system tests showed that the forced ventilation system prevents fogging even in the most adverse situations and increases user comfort when it is used simultaneously with an individual protective face mask, due to the air flow generated by the integrated fan. The filtered ventilated air guarantees the user's safety. Results also show that, with or without the front visor, the equipment prevents fogging, both on the face shield and glasses for users who wear them. The forced air flow promotes isolation of the breathing zone, decreasing the contact with potentially contaminated aerosols, thus reducing the risk of contagion. © 2022 IEEE.
ABSTRACT
The healthcare system had been on high vigilant due to the sudden outbreak of the Covid-19 pandemic. This stimulated the need for a smart healthcare system for early diagnosis, prevention from spreading, treatment, and simplified living. Remote monitoring, telemedicine, and body sensors are certain areas where the adaptation of IoMT has proved to be a boon. The advancement in the technology for healthcare devices and their security has been challenging too. The sensor implanted, employed in remote healthcare are vulnerable to attacks, as well as, is resource constraint when used in an IoT environment. Privacy is the biggest issue with IoT, as all linked devices transmit data in real time. This paper proposes, the framework for utilizing blockchain model-based parameters that will be distributed in nature and prevent malicious attacks that may threaten healthcare applications. We also discuss the various vulnerabilities on IoMT devices and methods that are employed for authentication and secure access to medical records for IoMT healthcare management. © 2022 IEEE.
ABSTRACT
This work presents the development of an individual protection device, a smart and active ventilated face shield that can also incorporate an air filtering system. The device can work with the front shield or just with the ventilation structure. The system was produced by additive manufacturing technology, based on a chassis that incorporates an electronic control unit, a rechargeable battery, a fan, and a humidity/temperature sensor. The performed system tests showed that the forced ventilation system prevents fogging even in the most adverse situations and increases user comfort when it is used simultaneously with an individual protective face mask, due to the air flow generated by the integrated fan. The filtered ventilated air guarantees the user's safety. Results also show that, with or without the front visor, the equipment prevents fogging, both on the face shield and glasses for users who wear them. The forced air flow promotes isolation of the breathing zone, decreasing the contact with potentially contaminated aerosols, thus reducing the risk of contagion. © 2022 IEEE.
ABSTRACT
Pneumonia is a fatal disease that mainly affects the lungs.its occurance is caused by bacterial and viral infections. Due to pneumonia everyyear thousands of people lost their lives. Pneumonia can be fatal if not diagnosed early and accurately. Accuracy and on time is an important aspect factor in diagnosis. Deep Learning shows promising results as compared to other modern techniques. In this study we have proposed a Smart Healthcare System based o Concatenation of ResNet50V2 and Xception model. It is a transfer learing based CNN to envisage pneumonia. For the implementation open source kaggle repository is utilized. In this work,several deep learning models with advanced training techniques are introduced. These can be used for classifiying X-ray dataset images into three different non over lapped partitions normal, pneumonia and covid -19. These training techniques are used efficiently when we have a unbalanced data set. The Concatentaion model produces best accuracy by exploring these models. On the given dataset of 11432 pictures the proposed model is evaluated. The mean overall accuracy for detection of pneumonia is 94.39% and for the detection of covid is 99.84%. © 2022 IEEE.
ABSTRACT
Wireless communication has connected millions of people across the world to internet to enable them to reap benefits of digital economy in present scenario. Almost all the sectors of economy including healthcare, agriculture and transportation nowadays rely largely upon wireless communications. In the present context, the sudden outbreak of Covid-19 has caused governments to impose restrictions on various activities and employees have been directed to work from their homes to ensure safety. In such a situation, wireless communication has made it possible to connect with each other via the internet. Apart from this, Smart healthcare-system has been developed through utilisation of wireless communication systems. During this pandemic situation, delivery of healthcare services in remote areas has gained huge momentum and wireless communication plays a vital role in this regard. Aim of current critical assessment is to provide an in-depth analysis of the role played by wireless communication in establishment of a well-structured digital economy in present scenario. In literature-review, different applications of wireless technology via ICT in various sectors and aspects of life have been discussed through a conceptual and a theoretical framework. The Method section of current study has provided an in-depth insight into the ways required information have been collected in this study. As found in the results and discussion section, a positive relation exists between wireless-communication and establishment of digital economy in current situation. This study has concluded that there are certain challenges associated with wireless communication;however, it has significant influence in making processes smarter and faster as compared to earlier. © 2022 IEEE.
ABSTRACT
In today's world, as population is at high peak and due to changing life style of people, individuals are suffering from various chronic disease. With shift towards modern methodology, involvement of human efforts has decreased, as know a day's people need to finish particular amount of task within few hours and with less effort. No doubt technology has made less intervention of human but it has certain limitations too. Due to less physical involvement, humans are more prone to diseases. Internet of things (IoT) plays a very crucial role in health care sector. Using various sensors, it become possible to trace the medical health condition of the human, and a message can be forwarded to nearby hospitals which helps the patients with ease. In this paper, three different diseases like heart disease, diabetes and novel COVID-19 are discussed where different machine learning algorithms are reviewed with involvement of IoT sensors. © 2022 IEEE.
ABSTRACT
COVID-19 might be devastatingly affecting our enterprises, public activities and individual prepping norms and principles but it has also sparked a digital revolution of innovation in different fields. The objective of this paper is to understand the in-depth role of the Internet of Things (IoT) in eHealth to mitigate the impact of COVID-19. This paper covers numerous applications of IoT in healthcare starting from research, telemedicine, teleconsultation via chatbots and virtual assistants providing instantaneous medical help online. Telemedicine and remote patient monitoring is the need of the hour to avoid direct contact with the patients which have been made possible via IoT and its associated tools like Artificial Intelligence, Machine Learning, Blockchain technology and Cloud Computing. With such high volumes and diversity of data being generated from IoT there is a strong need for connectivity and streaming analytics thus 5G technology and its applications have been discussed like smart 5G connected ambulances and smart 5G based hospitals. Long Range Radio is another promising technology which due to its low power operation and long-distance data transmission at higher speeds is turning out to be the defacto technology for IoT networks across the globe especially in areas with poor network coverage. Seeing the demand for both ventilators and skilled medical professionals due to lack of proper medical infrastructure worldwide, a review of IoT-based smart ventilators has also been carried out. The paper concludes with possible solutions to IoT challenges in healthcare by proposing a smart healthcare model design. Moreover keeping in mind the situation of Covid-19 Pandemic the module also comprises a UVC Disinfection box that would help in eliminating the risk of the virus entering our homes. © 2021 IEEE.