COVID 19 – Monitoring with IoT Devices
COVID 19 – Monitoring with IoT Devices

Author: Ambika Nagaraj

Publisher: Bentham Science Publishers

Published: 2023-11-23

Total Pages: 229

ISBN-13: 9815179462

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In the battle against the COVID-19 pandemic, the integration of Internet of Things (IoT) technologies has played a pivotal role in reshaping public health and healthcare delivery. Interconnected devices have demonstrated their capacity to collect, transmit, and analyze data, significantly impacting various aspects of pandemic management. COVID-19 – Monitoring with IoT Devices is a comprehensive guide to measuring the impact of COVID-19 infection and monitoring outbreak metrics. Beginning with an introduction to SARS-CoV-2 and its symptoms, the book presents chapters on machine learning (supervised and unsupervised algorithms) and techniques to predict COVID-19 outcomes. The book concludes with the role of IoT technology in detecting COVID-19 infections within a community, showcasing different computing models applicable to specific use-cases. Key Features: Explores the pivotal role of IoT technology in the fight against the COVID-19 pandemic. Covers a data-driven approach to COVID-19 monitoring by explaining methods for data collection, prediction, and analysis. Includes specific recommendations for machine learning algorithms designed for COVID-19 monitoring. Easy-to-read structured chapters suitable for novices in computer science and biomedical engineering. COVID-19 – Monitoring with IoT Devices provides a valuable resource for understanding the role of IoT technology in managing and mitigating the impact of COVID-19, and developing adequate infection control policies. It also showcases the potential of IoT for future research and applications in the healthcare sector. This book is intended for a diverse readership, including academicians, industry professionals, researchers, and healthcare practitioners.

Advances in Communication, Devices and Networking
Advances in Communication, Devices and Networking

Author: Rabindranath Bera

Publisher: Springer

Published: 2018-05-23

Total Pages: 923

ISBN-13: 9811079013

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The book provides insights of International Conference in Communication, Devices and Networking (ICCDN 2017) organized by the Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India during 3 – 4 June, 2017. The book discusses latest research papers presented by researchers, engineers, academicians and industry professionals. It also assists both novice and experienced scientists and developers, to explore newer scopes, collect new ideas and establish new cooperation between research groups and exchange ideas, information, techniques and applications in the field of electronics, communication, devices and networking.

Cloud Network Management
Cloud Network Management

Author: Sanjay Kumar Biswash

Publisher: CRC Press

Published: 2020-10-26

Total Pages: 291

ISBN-13: 1000202607

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Data storage, processing, and management at remote location over dynamic networks is the most challenging task in cloud networks. Users’ expectations are very high for data accuracy, reliability, accessibility, and availability in pervasive cloud environment. It was the core motivation for the Cloud Networks Internet of Things (CNIoT). The exponential growth of the networks and data management in CNIoT must be implemented in fast growing service sectors such as logistic and enterprise management. The network based IoT works as a bridge to fill the gap between IT and cloud networks, where data is easily accessible and available. This book provides a framework for the next generation of cloud networks, which is the emerging part of 5G partnership projects. This contributed book has following salient features, A cloud-based next generation networking technologies. Cloud-based IoT and mobility management technology. The proposed book is a reference for research scholars and course supplement for cloud-IoT related subjects such as distributed networks in computer/ electrical engineering. Sanjay Kumar Biswash is working as an Assistant professor in NIIT University, India. He held Research Scientist position, Institute of Cybernetics, National Research Tomsk Polytechnic University, Russia. He was PDF at LNCC, Brazil and SDSU, USA. He was a visiting researcher to the UC, Portugal. Sourav Kanti Addya is working as an Assistant professor in NITK, Surathkal, India. He was a PDF at IIT Kharagpur, India. He was a visiting scholar at SDSU, USA. He obtained national level GATE scholarship. He is a member of IEEE, ACM.

Smart Healthcare System Design
Smart Healthcare System Design

Author: S. K. Hafizul Islam

Publisher: John Wiley & Sons

Published: 2021-06-29

Total Pages: 386

ISBN-13: 1119791685

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SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information technology, artificial intelligence, cyber security, as well as designers of healthcare systems, will find this book very valuable.

2021 Fifth International Conference on I SMAC (IoT in Social, Mobile, Analytics and Cloud) (I SMAC)
2021 Fifth International Conference on I SMAC (IoT in Social, Mobile, Analytics and Cloud) (I SMAC)

Author: IEEE Staff

Publisher:

Published: 2021-11-11

Total Pages:

ISBN-13: 9781665426435

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In this modern era of networking and communication technologies, both the things and people are connected with each other via internet However, the communication, data management and security are emerging as a common research consideration to maintain the communication interoperability and reliability In recent years, Internet of Things (IoT) is envisioned as a next big revolution in networks and communication by connecting the things to the internet via heterogeneous access networks that are enabled by various technologies such as wireless sensor networks, sensing & actuation, cyber physical systems, real time web services and so on With the huge number of objects things people connected to the internet, it becomes more important to collect the valuable information in an efficient way This demands for the new research innovations in the emerging communication and networking technologies

IoT Applications for Healthcare Systems
IoT Applications for Healthcare Systems

Author: Rahul K. Kher

Publisher: Springer Nature

Published: 2022-04-19

Total Pages: 161

ISBN-13: 3030910962

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This book discusses communications technologies used in the field of healthcare, including IoT, soft computing, machine learning, big data, augmented reality, and wearable sensors. The book presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of this technology. The book also helps researchers and practitioners to understand and analyze the e-healthcare architecture through IoT and the state-of-the-art in IoT countermeasures with real-time challenges. Topics of interest include healthcare systems based on advanced development boards, mobile health parameters recording and monitoring systems, remote health / patient monitoring, hospital operations management, abnormality / disease detection by IoT devices, and efficient drug management. The book is relevant to a range of researchers, academics, and practitioners working on the intersection of IoT and healthcare.

Advances on P2P, Parallel, Grid, Cloud and Internet Computing
Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Author: Leonard Barolli

Publisher: Springer Nature

Published: 2021-10-19

Total Pages: 342

ISBN-13: 3030898997

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This book provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to P2P, grid, cloud and Internet computing as well as to reveal synergies among such large-scale computing paradigms. P2P, grid, cloud and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale. Grid computing originated as a paradigm for high performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P computing emerged as a new paradigm after client-server and web-based computing and has shown useful to the development of social networking, Business to Business (B2B), Business to Consumer (B2C), Business to Government (B2G), Business to Employee (B2E) and so on. Cloud computing has been defined as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits.” Cloud computing has fast become the computing paradigm with applicability and adoption in all application domains and providing utility computing at large scale. Finally, Internet computing is the basis of any large-scale distributed computing paradigms; it has very fast developed into a vast area of flourishing field with enormous impact on today’s information societies serving thus as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis
Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Author: Subhendu Kumar Pani

Publisher: Springer Nature

Published: 2021-12-13

Total Pages: 416

ISBN-13: 3030797538

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This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..

Data Privacy During Pandemics
Data Privacy During Pandemics

Author: Benjamin Boudreaux

Publisher: RAND Corporation

Published: 2020-07-30

Total Pages: 165

ISBN-13: 1977405630

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As part of the response to the COVID-19 pandemic, governments worldwide have deployed mobile phone surveillance programs to augment public health interventions. However, these programs raise privacy concerns. The authors of this report examine whether two goals can be achieved concurrently: the use of mobile phones as public health surveillance tools to help manage COVID‐19 and future crises, and the protection of privacy and civil liberties.

Integrating AI in IoT Analytics on the Cloud for Healthcare Applications
Integrating AI in IoT Analytics on the Cloud for Healthcare Applications

Author: Jeya Mala, D.

Publisher: IGI Global

Published: 2022-01-07

Total Pages: 312

ISBN-13: 1799891348

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Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students.