Screen LibraryDistributed intelligent circuits and systems /
"The main objective of this book is to provide insights into recent advances in distributed intelligent circuits, systems and their applications. Distributed intelligence is the key enabler for innovations in machine-to-machine communications. The innovations are directed towards keeping existi...
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| Group Author: | ; ; ; |
|---|---|
| Published: |
World Scientific Publishing Co. Pte. Ltd.,
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| Publisher Address: | Singapore : |
| Publication Dates: | [2024] |
| Literature type: | Book |
| Language: | English |
| Series: |
World Scientific series on future computing paradigms and applications ;
volume 3 |
| Subjects: | |
| Summary: |
"The main objective of this book is to provide insights into recent advances in distributed intelligent circuits, systems and their applications. Distributed intelligence is the key enabler for innovations in machine-to-machine communications. The innovations are directed towards keeping existing algorithms as the base and developing new intelligent systems by employing smart technologies. Artificial intelligence (AI) and, more specifically, deep learning (DL) are receiving significant attention in assisting doctors in the detection of disease patterns without much human intervention. In agriculture, robots automate slow, repetitive and dull tasks, allowing farmers to focus more on improving overall production yields. The evolving trends point to the interface of artificial intelligence with machines being a factor in enhancing the decision-making capabilities of smart machines. This book provides relevant theoretical frameworks that include basic models, algorithms, circuit designs and the latest developments in experimental aspects in the field of distributed intelligence systems for industrial applications. The challenges encountered in the development of models for distributed intelligence systems for environmental monitoring are mitigated with artificial intelligence, machine learning and deep learning. This book identifies challenges and helps in applying solutions in the development of advanced intelligent systems for environmental monitoring"-- |
| Carrier Form: | xx, 429 pages : illustrations (some color) ; 24 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9789811279522 9811279527 |
| Index Number: | TA168 |
| CLC: | TP18 |
| Call Number: | TP18/D614 |
| Contents: |
Intro -- Contents -- Preface -- About the Editors -- Acknowledgments -- Chapter 1 An Analytical View of DoS or DDoS Attacks for Network Architecture -- 1.1. Introduction -- 1.2. Classification of Networks Architectures for DoS or DDoS -- 1.2.1. Attacks of DoS or DDoS on Traditional Architectures -- 1.2.2. Protocol Exploitation -- 1.2.3. Volumetric Attacks -- 1.2.4. Application Attacks -- 1.2.5. Attacks of DoS or DDoS on Virtual Networks -- 1.2.6. SDN and NFV -- 1.2.7. Attacks of DoS or DDoS on SDN -- 1.2.8. Control Plane Attacks -- 1.2.9. Data Plane Attacks 1.2.10. Application Plane Attacks -- 1.3. Attacks of DoS or DDoS and Its Mathematical Modeling -- 1.3.1. Attacks of DoS or DDoS on the Network and Modeling -- 1.3.2. Epidemic Models -- 1.3.3. Analytical Models -- 1.3.4. Hierarchical Models -- 1.3.5. Model-Based on Traffic -- 1.3.6. Attacks of DoS or DDoS on the Network of SDNs -- 1.3.7. Models for the Migration and Detection -- 1.3.8. Virtual Networks Attacked Through DoS or DDoS -- 1.4. Comparative Analysis of Mathematical Models of DoS or DDoS -- 1.4.1. Protocol Attack: Model of Congestion Window -- 1.4.2. Device Attack: Epidemic Model 1.4.3. Resource Model: Queuing Model -- 1.4.4. Effective Framework for Comparison and Result of Mathematical Models -- 1.5. Discussion and Conclusion -- References -- Chapter 2 Designing Scalable Event-Driven Systems with Message-Oriented Architecture -- 2.1. Introduction -- 2.2. Related Work -- 2.3. Messaging Protocols -- 2.3.1. MQ Telemetry Transport Protocol -- 2.3.2. Advanced Message Queuing Protocol -- 2.3.3. Simple Text-Oriented Messaging Protocol -- 2.4. Message Broker Implementations -- 2.4.1. Google Cloud Platform Pub/Sub -- 2.4.2. Azure Service Bus -- 2.4.3. RabbitMQ -- 2.4.4. NATS 2.4.5. Apache Kafka -- 2.4.6. Message Broker Comparison -- 2.5. Message-Oriented Architecture in Practice: A Worked Example -- 2.5.1. Infrastructure -- 2.5.2. Spring Boot Application -- 2.5.3. React Chat Application -- 2.5.4. Message Producer -- 2.6. Conclusion -- References -- Chapter 3 Bone Fracture Detection Using Machine Learning -- 3.1. Introduction -- 3.2. Building of Framework -- 3.2.1. Input X-ray -- 3.2.2. Image Filtration Process -- 3.2.3. Data Acquisition -- 3.2.4. Segmentation -- 3.3. Observation and Computation Outcomes -- 3.3.1. Acquiring the X-ray Image for Input 3.3.2. Preprocessing -- 3.3.3. Feature Extraction -- 3.3.4. Segmentation -- 3.4. Implication and Future Scope -- References -- Chapter 4 Urban Smart Connectivity Using Intelligent Technologies -- 4.1. Introduction -- 4.1.1. Necessity and Significance of Smart Mobility -- 4.1.2. Detailed Organization Framework for Systematic Study -- 4.1.3. Crucial Accomplishments -- 4.2. Optimal Transportation -- 4.2.1. Assessment -- 4.2.1.1. Real-time data processing systems -- 4.2.1.2. Anticipatory maintenance -- 4.2.1.3. Smart parking management -- 4.2.1.4. Intelligent transport management |