Shailendra Shukla – författare

Internet of Multimedia Things (IoMT): Techniques and Applications disseminates research efforts in the security and resilience of intelligent data-centric critical systems to support advanced research in this area. Sections cover the background of IoMT Architectures and Technologies, describe the problems that arise in IoMT Computing and protocols, and illustrate the application of IoMT on Industrial applications. The book will be beneficial for engineers, developers, solution designers, architects, system engineers and specialists from professional environments interested in the IoMT to seek appropriate solutions to their specific problems.

Addresses recent developments, along with relevant prospects on opportunities and challenges in IoMT Presents the concept and vision of the IoMT, whose potentialities are discussed with speci?c use-cases Discusses the distinct architectural design and characteristics of IoMT as compared to the existing multimedia systems

Internet of Multimedia Things (IoMT): Techniques and Applications disseminates research efforts in the security and resilience of intelligent data-centric critical systems to support advanced research in this area. Sections cover the background of IoMT Architectures and Technologies, describe the problems that arise in IoMT Computing and protocols, and illustrate the application of IoMT on Industrial applications. The book will be beneficial for engineers, developers, solution designers, architects, system engineers and specialists from professional environments interested in the IoMT to seek appropriate solutions to their specific problems.- Addresses recent developments, along with relevant prospects on opportunities and challenges in IoMT- Presents the concept and vision of the IoMT, whose potentialities are discussed with specific use-cases- Discusses the distinct architectural design and characteristics of IoMT as compared to the existing multimedia systems

Advanced data structures is a core course in Computer Science which most graduate program in Computer Science, Computer Science and Engineering, and other allied engineering disciplines, offer during the first year or first semester of the curriculum. The objective of this course is to enable students to have the much-needed foundation for advanced technical skill, leading to better problem-solving in their respective disciplines. Although the course is running in almost all the technical universities for decades, major changes in the syllabus have been observed due to the recent paradigm shift of computation which is more focused on huge data and internet-based technologies. Majority of the institute has been redefined their course content of advanced data structure to fit the current need and course material heavily relies on research papers because of nonavailability of the redefined text book advanced data structure. To the best of our knowledge well-known textbook on advanced data structure provides only partial coverage of the syllabus.

The book offers comprehensive coverage of the most essential topics, including:

Part I details advancements on basic data structures, viz., cuckoo hashing, skip list, tango tree and Fibonacci heaps and index files.

Part II details data structures of different evolving data domains like special data structures, temporal data structures, external memory data structures, distributed and streaming data structures.

Part III elucidates the applications of these data structures on different areas of computer science viz, network, www, DBMS, cryptography, graphics to name a few. The concepts and techniques behind each data structure and their applications have been explained.

Every chapter includes a variety of Illustrative Problems pertaining to the data structure(s) detailed, a summary of the technical content of the chapter and a list of Review Questions, to reinforce the comprehension of the concepts.

The book could be used both as an introductory or an advanced-level textbook for the advanced undergraduate, graduate and research programmes which offer advanced data structures as a core or an elective course. While the book is primarily meant to serve as a course material for use in the classroom, it could be used as a starting point for the beginner researcher of a specific domain.

Advanced data structures is a core course in Computer Science which most graduate program in Computer Science, Computer Science and Engineering, and other allied engineering disciplines, offer during the first year or first semester of the curriculum. The objective of this course is to enable students to have the much-needed foundation for advanced technical skill, leading to better problem-solving in their respective disciplines. Although the course is running in almost all the technical universities for decades, major changes in the syllabus have been observed due to the recent paradigm shift of computation which is more focused on huge data and internet-based technologies. Majority of the institute has been redefined their course content of advanced data structure to fit the current need and course material heavily relies on research papers because of nonavailability of the redefined text book advanced data structure. To the best of our knowledge well-known textbook on advanced data structure provides only partial coverage of the syllabus.

The book offers comprehensive coverage of the most essential topics, including:

Part I details advancements on basic data structures, viz., cuckoo hashing, skip list, tango tree and Fibonacci heaps and index files.

Part II details data structures of different evolving data domains like special data structures, temporal data structures, external memory data structures, distributed and streaming data structures.

Part III elucidates the applications of these data structures on different areas of computer science viz, network, www, DBMS, cryptography, graphics to name a few. The concepts and techniques behind each data structure and their applications have been explained.

Every chapter includes a variety of Illustrative Problems pertaining to the data structure(s) detailed, a summary of the technical content of the chapter and a list of Review Questions, to reinforce the comprehension of the concepts.

The book could be used both as an introductory or an advanced-level textbook for the advanced undergraduate, graduate and research programmes which offer advanced data structures as a core or an elective course. While the book is primarily meant to serve as a course material for use in the classroom, it could be used as a starting point for the beginner researcher of a specific domain.

Enables readers to learn how to design and implement algorithms for efficient and secure smart technologies Algorithms for Smart World Technologies explains the fundamentals of key algorithms and their application in a variety of use cases, covering the factors, assumptions, and models essential for the design of a real-world algorithm and discussing the importance of advanced algorithms in the use of modern world technologies such as AI, IoT, and Blockchain. Each chapter is written to provide a self-contained treatment of one major topic. Collectively, the chapters have been designed and carefully integrated to be entirely complementary with respect to definitions, terminology, and notation. Chapters are divided into three parts—complexities, paradigms, and recent applications—and at the beginning of each part, a detailed introduction explaining each subject area is provided. The foundational subjects are supported by end-of-chapter exercises and case studies, while the application-focused chapters are supported by projects to give worked experience. Written by two highly qualified authors in academia, sample topics covered in Algorithms for Smart World Technologies include: Complexities, including complex systems and algorithms, measuring efficiency, types of systems, and types of complexitiesEthics bounds, including algorithms ethics maps, algorithmic traceability, social ethics, environmental ethics, and parameters and thresholdsAlgorithmic paradigms, including the design of an algorithm, the divide and conquer algorithm, backtracking, exhaustive search, solvability, and reducibilityIntelligent search algorithms, including solution space, uninformed, and informed search algorithms, evolutionary algorithms, and nature-inspired algorithmsSmart transportation, including scheduling algorithms for vehicular traffic and opportunistic communication for VANETWritten for developers and domain experts who want to explore the opportunities and challenges of designing and developing algorithms and protocols for Smart-world problems, Algorithms for Smart World Technologies is an authoritative resource on the topic that provides both foundational knowledge and guidance on practical applications.

Enables readers to learn how to design and implement algorithms for efficient and secure smart technologies Algorithms for Smart World Technologies explains the fundamentals of key algorithms and their application in a variety of use cases, covering the factors, assumptions, and models essential for the design of a real-world algorithm and discussing the importance of advanced algorithms in the use of modern world technologies such as AI, IoT, and Blockchain. Each chapter is written to provide a self-contained treatment of one major topic. Collectively, the chapters have been designed and carefully integrated to be entirely complementary with respect to definitions, terminology, and notation. Chapters are divided into three parts complexities, paradigms, and recent applications and at the beginning of each part, a detailed introduction explaining each subject area is provided. The foundational subjects are supported by end-of-chapter exercises and case studies, while the application-focused chapters are supported by projects to give worked experience. Written by two highly qualified authors in academia, sample topics covered in Algorithms for Smart World Technologies include: Complexities, including complex systems and algorithms, measuring efficiency, types of systems, and types of complexities Ethics bounds, including algorithms ethics maps, algorithmic traceability, social ethics, environmental ethics, and parameters and thresholds Algorithmic paradigms, including the design of an algorithm, the divide and conquer algorithm, backtracking, exhaustive search, solvability, and reducibility Intelligent search algorithms, including solution space, uninformed, and informed search algorithms, evolutionary algorithms, and nature-inspired algorithms Smart transportation, including scheduling algorithms for vehicular traffic and opportunistic communication for VANET Written for developers and domain experts who want to explore the opportunities and challenges of designing and developing algorithms and protocols for Smart-world problems, Algorithms for Smart World Technologies is an authoritative resource on the topic that provides both foundational knowledge and guidance on practical applications.

Enables readers to learn how to design and implement algorithms for efficient and secure smart technologies Algorithms for Smart World Technologies explains the fundamentals of key algorithms and their application in a variety of use cases, covering the factors, assumptions, and models essential for the design of a real-world algorithm and discussing the importance of advanced algorithms in the use of modern world technologies such as AI, IoT, and Blockchain. Each chapter is written to provide a self-contained treatment of one major topic. Collectively, the chapters have been designed and carefully integrated to be entirely complementary with respect to definitions, terminology, and notation. Chapters are divided into three parts complexities, paradigms, and recent applications and at the beginning of each part, a detailed introduction explaining each subject area is provided. The foundational subjects are supported by end-of-chapter exercises and case studies, while the application-focused chapters are supported by projects to give worked experience. Written by two highly qualified authors in academia, sample topics covered in Algorithms for Smart World Technologies include: Complexities, including complex systems and algorithms, measuring efficiency, types of systems, and types of complexities Ethics bounds, including algorithms ethics maps, algorithmic traceability, social ethics, environmental ethics, and parameters and thresholds Algorithmic paradigms, including the design of an algorithm, the divide and conquer algorithm, backtracking, exhaustive search, solvability, and reducibility Intelligent search algorithms, including solution space, uninformed, and informed search algorithms, evolutionary algorithms, and nature-inspired algorithms Smart transportation, including scheduling algorithms for vehicular traffic and opportunistic communication for VANET Written for developers and domain experts who want to explore the opportunities and challenges of designing and developing algorithms and protocols for Smart-world problems, Algorithms for Smart World Technologies is an authoritative resource on the topic that provides both foundational knowledge and guidance on practical applications.

Advanced data structures is a core course in Computer Science which most graduate program in Computer Science, Computer Science and Engineering, and other allied engineering disciplines, offer during the first year or first semester of the curriculum. The objective of this course is to enable students to have the much-needed foundation for advanced technical skill, leading to better problem-solving in their respective disciplines. Although the course is running in almost all the technical universities for decades, major changes in the syllabus have been observed due to the recent paradigm shift of computation which is more focused on huge data and internet-based technologies. Majority of the institute has been redefined their course content of advanced data structure to fit the current need and course material heavily relies on research papers because of nonavailability of the redefined text book advanced data structure. To the best of our knowledge well-known textbook on advanced data structure provides only partial coverage of the syllabus. The book offers comprehensive coverage of the most essential topics, including: Part I details advancements on basic data structures, viz., cuckoo hashing, skip list, tango tree and Fibonacci heaps and index files. Part II details data structures of different evolving data domains like special data structures, temporal data structures, external memory data structures, distributed and streaming data structures. Part III elucidates the applications of these data structures on different areas of computer science viz, network, www, DBMS, cryptography, graphics to name a few. The concepts and techniques behind each data structure and their applications have been explained. Every chapter includes a variety of Illustrative Problems pertaining to the data structure(s) detailed, a summary of the technical content of the chapter and a list of Review Questions, to reinforce the comprehension of the concepts. The book could be used both as an introductory or an advanced-level textbook for the advanced undergraduate, graduate and research programmes which offer advanced data structures as a core or an elective course. While the book is primarily meant to serve as a course material for use in the classroom, it could be used as a starting point for the beginner researcher of a specific domain.