This book features new and innovative research on the positive contributions of IoT and cloud technology healthcare information systems for the improvement of patient care and disease management. Highlighting the challenges and difficulties in implementing IoT and cloud technology in the healthcare field, the volume focuses on theories, systems, methods, algorithms, and applications. The chapters showcase the interface between e-health and communication technologies and their beneficial contribution to building efficient and secure healthcare information systems. Healthcare information systems involve data generation, compilation, arrangement, examination and synthesis, and communication and use. This incorporates frameworks that gather, store, maintain, and protect patients’ electronic medical information and records, providing an invaluable resource for supporting medical services strategies and choices. IoT and Cloud Computing-Based Healthcare Information Systems discusses a multitude of diverse new information technologies in telemedicine, in security for healthcare systems, for medical image authentication, in pulse oximetry via Bluetooth, for virus detection via smartphones, for tumor extraction via extreme learning machine and k-means clustering, for detect cancerous cells, for music therapy for mental health purposes, and much more. This informative volume will be a valuable resource for academicians, professionals, engineers, technology designers, analysts, and students involved in the various fields that are involved with information technology and biomedical engineering in healthcare and medicine.

An Interdisciplinary Approach to Modern Network Security presents the latest methodologies and trends in detecting and preventing network threats. Investigating the potential of current and emerging security technologies, this publication is an all-inclusive reference source for academicians, researchers, students, professionals, practitioners, network analysts and technology specialists interested in the simulation and application of computer network protection. It presents theoretical frameworks and the latest research findings in network security technologies, while analyzing malicious threats which can compromise network integrity. It discusses the security and optimization of computer networks for use in a variety of disciplines and fields. Touching on such matters as mobile and VPN security, IP spoofing and intrusion detection, this edited collection emboldens the efforts of researchers, academics and network administrators working in both the public and private sectors. This edited compilation includes chapters covering topics such as attacks and countermeasures, mobile wireless networking, intrusion detection systems, next-generation firewalls, web security and much more. Information and communication systems are an essential component of our society, forcing us to become dependent on these infrastructures. At the same time, these systems are undergoing a convergence and interconnection process that has its benefits, but also raises specific threats to user interests. Citizens and organizations must feel safe when using cyberspace facilities in order to benefit from its advantages. This book is interdisciplinary in the sense that it covers a wide range of topics like network security threats, attacks, tools and procedures to mitigate the effects of malware and common network attacks, network security architecture and deep learning methods of intrusion detection.

Discusses open principles, methods, and research problems Presents a vision for how IIoT could change the world in the distant future Covers how industry automation is projected to be the largest and fastest growing segment of the IIoT market Explores the collaboratively development of high performance telecommunications, military, industrial, and general purpose embedded computing applications Offers a systematic overview of the state-of-the-art research efforts and potential research directions for dealing with IIoT challenges.

MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

Knowledge Engineering (KE) is a fi eld within artifi cial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specifi c domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent fi ndings and innovative research in the information system and KE domain. Highlighting the challenges and diffi culties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will fi nd this book a valuable source of ideas and guidance.

Impacts and Implications of COVID-19: An Analytical and Empirical Study describes the most recent research developments regarding COVID-19. This book includes a wide range of interdisciplinary submissions that address the latest findings regarding a wide variety of psychological, social, managerial, and technological issues for fighting COVID-19. Chapter One discusses how machine learning applies to prediction, forecasting, screening, contact tracing, treatment, medication and the drug or vaccine invention process in connection with COVID-19. Chapter Two deals with immunomodulatory therapy for clinical management of COVID-19 patients. Chapter Three describes the importance of social distancing and the development of a tool to detect social distancing. Chapter Four discusses the impact of COVID-19 on the education sector, and Chapter Five focuses on the impacts of COVID-19 on employment, e-commerce, and e-pharmacies. Chapter Six gives an insight into the policies regarding COVID-19 in India, and Chapter Seven compares vaccine candidates based on their status in trial phases, route of administration, dosage, efficacy, and safety. Chapter Eight explores how the pandemic has impacted human communication and relationships, as people have been forced to interact in the digital space rather than the physical one. Chapter Nine describes the urgent need to devise sustainable and effective strategies to mitigate the problems relating to shortages of labor and equipment in the agricultural sector due to the pandemic. Finally, Chapter Ten describes the role of physical therapy in the recovery of COVID-19 patients.

Mahatma Gandhi's humane philosophy and inherent spirituality had a profound influence not only on the people of India but the freedom loving people worldwide. 11th of September 2006 marked the centenary of the Satyagraha movement launched by Mahatma Gandhi in South Africa for peaceful resistance against discriminatory and unjust laws. ""Satyagraha - the firmness of the force Truth"" became a powerful mass movement of peaceful resistance and civil disobedience. Over the years, it evolved into a dynamic mass movement of effective action.Commemorating 100 years of 'Satyagraha' in a befitting manner, the Indian National Congress convened a two day international conference: ""Peace, Non-violence and Empowerment: Gandhian Philosophy in the 21st Century"". Over 300 international delegates from 91 countries comprising world leaders, Nobel laureates, leading peace and human rights activists and Gandhian scholars reflected on the essence and the enduring relevance of Mahatma Gandhi's philosophy. The conference deliberated on subjects and issues which represent the core of Gandhian thought. The discussion touched upon a wide range of Gandhian principles and values including Mahatma Gandhi's concern for the poor and his abiding commitment to non-violence and people's empowerment. Emerging from the discussions amongst the luminaries was the collective affirmation to renew people's commitment to Mahatma's noble mission of building a world that is in peace and harmony with itself.Based on the deliberations of this conference, together with precious archival material, this volume - a book for the future - endeavours to reach out and connect the people, especially the younger generation, to the 'Gandhian way' and to carry forward his legacy into the 21st century.

Most manufacturing companies with batch-and-queue "push" production systems have been blindsided by today's consumer who expects quality products and services delivered on demand and customized to individual taste. In "The Perfect Engine, " manufacturing experts Anand Sharma and Patricia E. Moody describe for the first time how leading "pull" production pioneers build to order by reducing inventory, decreasing cycle time, minimizing floor space, and eliminating waste.
Drawing on scores of examples and detailed case studies of three leaders in the demand economy field -- Maytag, Pella, and Mercedes-Benz -- Sharma and Moody demonstrate how these companies achieved astonishing results using the pathbreaking LeanSigmaSM Transformation. Combining lean production and quality elements from the famous Six Sigma process, LeanSigma produces annual productivity gains of 15 percent to 20 percent. In addition, the authors show, inventory turns more than quadruple; cycle times drop by more than 70 percent; and floor space reductions of 30 percent to 50 percent are not uncommon. Sharma and Moody provide immensely readable explanations of key technical aspects of the process--for example, how cell-based one-piece flow can replace batch-and-queue with dramatically improved lead times and inventory turnover. A chapter on a revolutionary design technique the authors call Design for LeanSigma or 3P (product and production preparation) shows how to build flexibility into the product design and the production systems at very low risk, which will be especially helpful when forecasts and customer orders deviate from original projections, as they usually do. Further, the Design for LeanSigma method is devised to produce profitability at short-term volume projections, which makes it a perfect tool for the new demand economy. Essential, timely, and important, "The Perfect Engine" is perfect reading for this new manufacturing era.