Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm. Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production.

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. Summarizes several strategies, analyses, and optimization methods for patient healthcare. Focuses on drug discovery and development by cloud computing and data-driven research The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

This reference text discusses integrated approaches to improve the objectives of additive manufacturing in medical application. The text covers case studies related to product design and development, discuses biomaterials, applications of artificial intelligence and machine learning using additive manufacturing techniques. It covers important topics including 3D printing technology, materials for 3D printing in medicine, rapid prototyping in clinical applications, and use of additive manufacturing in customized bone tissue engineering scaffold. The text- Discusses additive manufacturing techniques and their utilization in medical applications. Covers important applications of additive manufacturing in the fields of medicine, education and space industry. Explores regulatory challenges associated with the emergence of additive manufacturing. Examines the use of rapid prototyping in clinical applications. The text will serve as a useful reference guide for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mechanical engineering, and aerospace engineering. This book discusses important application areas of additive manufacturing, including medicine, education, and the space industry, this reference text will be a serve as a useful text for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mechanical engineering, and aerospace engineering.

Provides an overview of the chemical nature and mechanisms of endocrine disruptors Discusses the sources of endocrine toxicants Assesses the impact of endocrine toxicants on a sustainable environment Looks at endocrine toxicants and their effect on human health, such as on thyroid glands, on human reproduction, etc.

Explores synthesis, characterization, properties, fabrication/processing, and application of polymer nanocomposite materials Elaborates polymer manufacturing phase challenges using various control methods and statistical tools and modules Includes machining and micro (µ) machining investigation on the polymer nanocomposites Discusses modeling, simulation and optimization of process parameters during the machining processes and application of additive manufacturing Comprehends the significance of nanomaterials functionalizing synthetic fibrous and bio-compatible composites

• Describes the role of herbal medicines for the treatment of PCOS • Reviews the status of PCOS, prevalence, symptoms and pathogenesis • Provides a comparison of Western and herbal medicine treatment for PCOS

Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT. Key Features Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities - A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.

Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection

The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given by the healthcare industry and to bring meaningful patient outcomes by applying the data, information and knowledge in the healthcare domain. Features: * Improves the quality of health data of a patient * Presents a wide range of opportunities and renewed possibilities for healthcare systems * Gives a way for carefully and meticulously tracking the provenance of medical records * Accelerates the process of disease-oriented data and medical data arbitration * Brings meaningful patient health outcomes * Eradicates delayed clinical communications * Helps the research intellectuals to step down further toward the disease and clinical data storage * Creates more patient-centered services The precise focus of this handbook is on the potential applications and use of data informatics in healthcare, including clinical trials, tailored ailment data, patient and ailment record characterization and health records management.

The perpetual flow of understanding between phase transformation that controls grain/microstructures and heat treatment which decides the size of grains/microstructures of steels is not well articulated in the perspective of undergraduate students. In Phase Transformations and Heat Treatments of Steels, theories of phase transformation have been used to obtain a desirable phase or combination of phases by performing appropriate heat treatment operations, leading to unification of both the concepts. Further, it includes special and critical heat treatment practices, case studies, local and in-service heat treatments, curative and preventive measures of heat treatment defects for several common and high-performance applications. Features: Presents fundamentals of phase transformation in steels Analyzes basics of phase transformation due to heat treatment of steel under various environmental conditions Explains application of heat treatment for different structural components Discusses heat treatment defects and detection Emphasizes heat treatment of special steels and in-situ heat treatment practices

• Describes the role of herbal medicines for the treatment of PCOS • Reviews the status of PCOS, prevalence, symptoms and pathogenesis • Provides a comparison of Western and herbal medicine treatment for PCOS

The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.

Honey is a supersaturated solution of sugar made by bees. Honeybees collect a liquid secretion from flowers, called nectar, and take this back to their hives. It is an appreciated natural gift to humanity derived entirely from honeybees. Honey is the by-product of nectar collected by bees from the flowers, with some digestive enzymes produced by the honeybees themselves. Honey: A Miraculous Product of Nature summarizes the current status of honey, it's uses and related aspects. This illustrated volume describes use of honey in traditional medicines, i.e. Ayurveda, Siddha, and Unani by acting as a preservative and nourishing agent. Also, other properties like digestibility, palatability, deliciousness, refreshing, thirst quencher, stomachic, anti-obtrusive, expectorant, anti-oxidative, anti-tussive and blood purifier are explained in beautiful manner. The role of honey in improving eyesight, strengthens gums and teeth and it's use in jaundice, spleen enlargement, sore throat, chest diseases, sexual debility, renal and cystic calculi, intestinal worms, heart diseases and leprosy is very well described. The compiled knowledge from range of bee scientists, Honey: A Miraculous Product of Nature aims to provide broad knowledge on honey to the researchers, apiculturists and students to continue their work on honey and honeybees.

The collection of chapters in this book brings together researchers working in paradoxes and complexities of cultural identities through uses of language and literature from varied perspectives. This volume is an important step towards achieving the goal of reaching out to many who have been looking at the complexities of identity formation from linguistic, cultural, social and political perspectives. Please note: This title is co-published with Aakar Books, New Delhi. Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh, Maldives and Sri Lanka.

The perpetual flow of understanding between phase transformation that controls grain/microstructures and heat treatment which decides the size of grains/microstructures of steels is not well articulated in the perspective of undergraduate students. In Phase Transformations and Heat Treatments of Steels, theories of phase transformation have been used to obtain a desirable phase or combination of phases by performing appropriate heat treatment operations, leading to unification of both the concepts. Further, it includes special and critical heat treatment practices, case studies, local and in-service heat treatments, curative and preventive measures of heat treatment defects for several common and high-performance applications. Features: Presents fundamentals of phase transformation in steels Analyzes basics of phase transformation due to heat treatment of steel under various environmental conditions Explains application of heat treatment for different structural components Discusses heat treatment defects and detection Emphasizes heat treatment of special steels and in-situ heat treatment practices

ROBOTIC PROCESS AUTOMATION Presenting the latest technologies and practices in this ever-changing field, this groundbreaking new volume covers the theoretical challenges and practical solutions for using robotics across a variety of industries, encompassing many disciplines, including mathematics, computer science, electrical engineering, information technology, mechatronics, electronics, bioengineering, and command and software engineering. Robotics is the study of creating devices that can take the place of people and mimic their behaviors. Mechanical engineering, electrical engineering, information engineering, mechatronics, electronics, bioengineering, computer engineering, control engineering, software engineering, mathematics, and other subjects are all included in robotics. Robots can be employed in a variety of scenarios and for a variety of objectives, but many are now being used in hazardous areas (such as radioactive material inspection, bomb detection, and deactivation), manufacturing operations, or in conditions where humans are unable to live (e.g. in space, underwater, in high heat, and clean up and containment of hazardous materials and radiation). Walking, lifting, speaking, cognition, and any other human activity are all attempted by robots. Many of today’s robots are influenced by nature, making bio-inspired robotics a growing area. Defusing explosives, seeking survivors in unstable ruins, and investigating mines and shipwrecks are just a few of the activities that robots are designed to undertake. This groundbreaking new volume presents a Robotic Process Automation (RPA) software technique that makes it simple to create, deploy, and manage software robots that mimic human movements while dealing with digital systems and software. Software robots can interpret what’s on a screen, type the correct keystrokes, traverse systems, locate and extract data, and do a wide variety of predetermined operations, much like people. Software robots can do it quicker and more reliably than humans, without having to stand up and stretch or take a coffee break.

This books studies syntax of NPIs and their interaction with sentential negatives in Hindi. It outlines the clause structure of Hindi and locates the syntactic position of sentential negatives as well as constituent negatives within the structure. It is argued that sentential negative in Hindi negation marker heads its own maximal projection, NegP, which is immediately dominated by TP. In addition to locating the position of negation markers in the clause structure, it outlines the distribution of negative polarity items (NPIs) in Hindi and the structural constraints on their licensing by sentential negative. The book argues that an NPI in Hindi is licensed overtly in the course of derivation by a c-commanding negative marker. The bulk of the evidence presented in this book argues against previous theoretical accounts that claim that NPI licensing involves covert syntactic operations such as LF movement or reconstruction. With respect to the classification of NPIs , this book also shows the existence of two different types of NPIs in Hindi; namely, strong NPIs and weak NPIs. Strong NPIs require a clause mate c-commanding negative licensor, whereas weak NPIs are quantifiers and are similar to free choice 'any' in English that are interpreted as NPIs in the presence of a c-commanding negative licensor.

Polymers have emerged as one of the most innovative classes of materials in modern materials science, leading to new applications in medicine and pharmacy. This book offers a convincing and understandable approach to polymer biomaterial devices being used in various areas related to biomedical and pharmaceutical fields. The polymer materials finding application as biomaterials are discussed and described in detail pertaining to the areas of artificial implants, orthopedics, ocular devices, dental implants, drug delivery systems, burns and wounds.

This books studies syntax of NPIs and their interaction with sentential negatives in Hindi. It outlines the clause structure of Hindi and locates the syntactic position of sentential negatives as well as constituent negatives within the structure. It is argued that sentential negative in Hindi negation marker heads its own maximal projection, NegP, which is immediately dominated by TP. In addition to locating the position of negation markers in the clause structure, it outlines the distribution of negative polarity items (NPIs) in Hindi and the structural constraints on their licensing by sentential negative. The book argues that an NPI in Hindi is licensed overtly in the course of derivation by a c-commanding negative marker. The bulk of the evidence presented in this book argues against previous theoretical accounts that claim that NPI licensing involves covert syntactic operations such as LF movement or reconstruction. With respect to the classification of NPIs, this book also shows the existence of two different types of NPIs in Hindi; namely, strong NPIs and weak NPIs. Strong NPIs require a clause mate c-commanding negative licensor, whereas weak NPIs are quantifiers and are similar to free choice 'any' in English that are interpreted as NPIs in the presence of a c-commanding negative licensor.

This book emphasizes the scientific origin of deformation and damage of FRP composites under various environmental effects and analyses present understanding on degradation mechanisms, role of interfaces and addition of nanofillers Discusses micro-characterization of composites and interfaces, also includes micro-mechanisms and microscopic evidences to establish the structure-property correlation Elucidates advantages and limitations of FRP composites in supercritical applications

The book presents the current standards of digital multiplexing, called synchronous digital hierarchy, including analog multiplexing technologies. It is aimed at telecommunication professionals who want to develop an understanding of digital multiplexing and synchronous digital hierarchy, in particular, and the functioning of practical telecommunication systems, in general. The text includes all relevant fundamentals and provides a handy reference for problem solving or defining operations and maintenance strategies. The author covers digital conversion and TDM principles, line coding and digital modulation, signal impairments, and synchronization, as well as emerging systems.

Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.