R. Sujatha – författare

Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning, and neuromorphic models. It also discusses the fundamental design method and organization of neuromorphic architecture.Hardware for neuromorphic systems can be developed by exploiting the magnetic properties of different materials. These systems are more energy efficient and enable faster computation . Magnetic tunnel junctions and magnetic textures can be employed to act as neurons and synapses. Neuromorphic systems have general intelligence like humans as they can apply knowledge gained in one domain to other domains.

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems.

This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval.

FEATURES

This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.

Data science revolves around two giants: Big Data analytics and Deep Learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of Big Data as well as Deep Learning systems.

This book discusses how Big Data and Deep Learning hold the potential to significantly increase data understanding and decision-making. It also covers numerous applications in healthcare, education, communication, media, and entertainment. Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics offers innovative platforms for integrating Big Data and Deep Learning and presents issues related to adequate data storage, semantic indexing, data tagging, and fast information retrieval.

FEATURES

This book is aimed at industry professionals, academics, research scholars, system modelers, and simulation experts.

Change can take place in various forms, gradual or abrupt, incremental or transformational. It is a requirement in modern day society that everyone, whether at individual or organisational level, understands the softer nuances of this concept and prepares for it. During scenarios of change interventions, the role of human resources (HR) becomes highly crucial, even as the perception towards it becomes ambivalent.

This volume delivers a holistic view on the role of HR in organisational change. It is built on the various theoretical models of change and provides a dramatic sequence of issues in change management to gain a big picture thinking for HR managers and weaves through why, how and what perspectives to change management. Human Resources Management for Organisational Change offers a comprehensive coverage of the changing role of HR as it relates to organisational change theories and models, strategy, changing business environment and implications, organisational culture, leadership, resistance management, and high performance work practices (HPWP) to support change management and cost of no-changers. It is unique in that it covers the entire gamut of organisational change as well as HR.

It will be of value to researchers, academics, professionals, and students interested in learning more about how organisational change can improve productivity and human satisfaction as well as the systematic approach to managing organisational change.

Change can take place in various forms, gradual or abrupt, incremental or transformational. It is a requirement in modern day society that everyone, whether at individual or organisational level, understands the softer nuances of this concept and prepares for it. During scenarios of change interventions, the role of human resources (HR) becomes highly crucial, even as the perception towards it becomes ambivalent.

This volume delivers a holistic view on the role of HR in organisational change. It is built on the various theoretical models of change and provides a dramatic sequence of issues in change management to gain a big picture thinking for HR managers and weaves through why, how and what perspectives to change management. Human Resources Management for Organisational Change offers a comprehensive coverage of the changing role of HR as it relates to organisational change theories and models, strategy, changing business environment and implications, organisational culture, leadership, resistance management, and high performance work practices (HPWP) to support change management and cost of no-changers. It is unique in that it covers the entire gamut of organisational change as well as HR.

It will be of value to researchers, academics, professionals, and students interested in learning more about how organisational change can improve productivity and human satisfaction as well as the systematic approach to managing organisational change.

With the increased pace of global, economic and technological development, change has become an inevitable feature of any organisation to survive in the competitive market. If it is a planned change process, the HR practitioner can use any of the existing general models or theories of change and use suggestive interventions to increase effectiveness and capability to change itself. When the magnitude of change is unpredictable or the degree of the organisational process or systems is unorganised, the existing models or practice of planned change is still in the formative stage, and there is room for continuous refinement and improvement.

This book will bridge this gap in the current organisational development and change literature by benefiting the HR practitioner with six real case studies. The cases bring out the interventions adopted, key activities associated with the successful implementation of interventions and the critical role played by HR in achieving organisational effectiveness. This book captures the transformational journey of a diverse set of companies and weaves various dimensions into a common coherent framework for the field of HRM in Change Management. The case studies illustrate six powerful organisational experiences, listing the major activities contributing to effective change management from motivating change, vision, support from key stakeholders, transition management to organisational and HR commitment for implementation.

By demonstrating the role of HR as a ‘change agent,’ this volume will be valuable to researchers, academics, managers and students in the fields of human resource management and change management.

With the increased pace of global, economic and technological development, change has become an inevitable feature of any organisation to survive in the competitive market. If it is a planned change process, the HR practitioner can use any of the existing general models or theories of change and use suggestive interventions to increase effectiveness and capability to change itself. When the magnitude of change is unpredictable or the degree of the organisational process or systems is unorganised, the existing models or practice of planned change is still in the formative stage, and there is room for continuous refinement and improvement.

This book will bridge this gap in the current organisational development and change literature by benefiting the HR practitioner with six real case studies. The cases bring out the interventions adopted, key activities associated with the successful implementation of interventions and the critical role played by HR in achieving organisational effectiveness. This book captures the transformational journey of a diverse set of companies and weaves various dimensions into a common coherent framework for the field of HRM in Change Management. The case studies illustrate six powerful organisational experiences, listing the major activities contributing to effective change management from motivating change, vision, support from key stakeholders, transition management to organisational and HR commitment for implementation.

By demonstrating the role of HR as a ‘change agent,’ this volume will be valuable to researchers, academics, managers and students in the fields of human resource management and change management.

Cyber Security Applications for Industry 4.0 (CSAI 4.0) provides integrated features of various disciplines in Computer Science, Mechanical, Electrical, and Electronics Engineering which are defined to be Smart systems. It is paramount that Cyber-Physical Systems (CPS) provide accurate, real-time monitoring and control for smart applications and services. With better access to information from real-time manufacturing systems in industrial sectors, the CPS aim to increase the overall equipment effectiveness, reduce costs, and improve efficiency. Industry 4.0 technologies are already enabling numerous applications in a variety of industries. Nonetheless, legacy systems and inherent vulnerabilities in an organization''s technology, including limited security mechanisms and logs, make the move to smart systems particularly challenging.

Features:

The book is primarily aimed at industry professionals, academicians, and researchers for a better understanding of the secure data transition between the Industry 4.0 enabled connected systems and their limitations

Cyber Security Applications for Industry 4.0 (CSAI 4.0) provides integrated features of various disciplines in Computer Science, Mechanical, Electrical, and Electronics Engineering which are defined to be Smart systems. It is paramount that Cyber-Physical Systems (CPS) provide accurate, real-time monitoring and control for smart applications and services. With better access to information from real-time manufacturing systems in industrial sectors, the CPS aim to increase the overall equipment effectiveness, reduce costs, and improve efficiency. Industry 4.0 technologies are already enabling numerous applications in a variety of industries. Nonetheless, legacy systems and inherent vulnerabilities in an organization''s technology, including limited security mechanisms and logs, make the move to smart systems particularly challenging.

Features:

The book is primarily aimed at industry professionals, academicians, and researchers for a better understanding of the secure data transition between the Industry 4.0 enabled connected systems and their limitations

The 13 chapters in this book cover the various aspects associated with Cyber-Physical Systems (CPS) such as algorithms, application areas, and the improvement of existing technology such as machine learning, big data and robotics.

Cyber-Physical Systems (CPS) is the interconnection of the virtual or cyber and the physical system. It is realized by combining three well-known technologies, namely “Embedded Systems,” “Sensors and Actuators,” and “Network and Communication Systems.” These technologies combine to form a system known as CPS. In CPS, the physical process and information processing are so tightly connected that it is hard to distinguish the individual contribution of each process from the output. Some exciting innovations such as autonomous cars, quadcopter, spaceships, sophisticated medical devices fall under CPS.

The scope of CPS is tremendous. In CPS, one sees the applications of various emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), machine learning (ML), deep learning (DL), big data (BD), robotics, quantum technology, etc. In almost all sectors, whether it is education, health, human resource development, skill improvement, startup strategy, etc., one sees an enhancement in the quality of output because of the emergence of CPS into the field.

Audience Researchers in Information technology, artificial intelligence, robotics, electronics and electrical engineering.

The 13 chapters in this book cover the various aspects associated with Cyber-Physical Systems (CPS) such as algorithms, application areas, and the improvement of existing technology such as machine learning, big data and robotics.

Cyber-Physical Systems (CPS) is the interconnection of the virtual or cyber and the physical system. It is realized by combining three well-known technologies, namely “Embedded Systems,” “Sensors and Actuators,” and “Network and Communication Systems.” These technologies combine to form a system known as CPS. In CPS, the physical process and information processing are so tightly connected that it is hard to distinguish the individual contribution of each process from the output. Some exciting innovations such as autonomous cars, quadcopter, spaceships, sophisticated medical devices fall under CPS.

The scope of CPS is tremendous. In CPS, one sees the applications of various emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), machine learning (ML), deep learning (DL), big data (BD), robotics, quantum technology, etc. In almost all sectors, whether it is education, health, human resource development, skill improvement, startup strategy, etc., one sees an enhancement in the quality of output because of the emergence of CPS into the field.

Audience Researchers in Information technology, artificial intelligence, robotics, electronics and electrical engineering.