UID:
almahu_9949386528502882
Format:
1 online resource (xvi, 279 pages) :
,
illustrations.
Edition:
First edition.
ISBN:
9781003121619
,
1003121616
,
9781000337921
,
1000337928
,
9781000337884
,
100033788X
,
9781000337907
,
1000337901
Series Statement:
Green energy and technology : concepts and applications
Content:
"Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers a data-driven approach to decision making and problem solving. This book is written for researchers, academicians, undergraduate and graduate students, and industry persons who are working on current applications of Cognitive Computing"--
Note:
Intro -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Contributors -- About the Book -- Green Engineering and Technology: Concepts and Applications -- Part I: Introduction -- 1. Green Communication Technology, IOT, VR, AR in Smart Environment -- 1. Introduction -- 2. Associated Work -- 3. Technical Technology -- 3.1. Strategies Based on Program Acquisition -- 3.2. Irregularity Grounded Interruption Recognition -- 3.3. IDSs: Presentation Assessment -- 4. Keen Metropolitan Tenders -- 4.1. Smart Transportation -- 4.2. Ambient Abetted Existing -- 4.3. Corruption Deterrence and Public Security Documentation of Convicts -- 4.4. Ascendency -- 4.5. Disruption of Nursing and Maintenance of Replacement -- 4.6. Disaster and Backup Organization -- 4.7. Ecological Monitoring -- 4.8. Waste and Equipment Administration -- 4.9. Canny Is Taken Home -- 4.10. Smart Energy -- 5. Conclusion -- References -- 2. Green Computing -- Uses and Design -- 1. Introduction -- 2. Origin of Green Computing -- 3. Related Works -- 4. Need for Green Computing -- 5. Challenges in Green Computing -- 5.1. Return of Investment -- 5.2. Disposal of Electronic Wastes -- 5.3. Perspective with Respect to Indian Scenario -- 5.4. Energy Efficiency and Miniaturization Board Level Witnessing the R& -- D Capabilities -- 6. Paradigms of Green Computing in IT -- 7. Application of Green Computing -- 7.1. In Distributed and Cloud Environments -- Server rooms -- 7.2. In Smart Portable Devices -- 7.3. In IoT -- 7.4. In Parallel Computing of Big Data Systems -- 8. Pros and Cons of Green Computing -- 9. Measures to be Taken in Developing IT Products as a Move Towards Green Computing -- 10. Conclusion -- References -- Part II: Analysis -- 3. Statistical Methods for Reproducible Data Analysis -- 1. Introduction -- 2. Overview Hierarchy.
,
3. Introduction to Descriptive Statistics -- 4. Introduction to Inferential Statistics -- 5. Introduction to Predictive Modelling -- 6. Conclusion -- References -- 4. An Approach for Energy-Efficient Task Scheduling in Cloud Environment -- 1. Introduction -- 2. Literature Survey -- 3. Proposed Model -- 4. Problem Formulation -- 5. Proposed Algorithm -- 6. Simulation and Experimental Result -- 7. Conclusion and Future Work -- References -- 5. Solar-Powered Cloud Data Center for Sustainable Green Computing -- 1. Introduction -- 2. Background -- 3. Energy Consumption Analysis -- 4 . Methodology -- 4.1. Cloud Data Centers Solar PV Model -- 4.2. Small Scale Routing Algorithm -- Detection of Route -- 4.3. MRR Analysis -- 5 . Results and Discussions -- 6. Conclusions -- References -- 6. State-of-the-Art Energy Grid with Cognitive Behavior and Blockchain Techniques -- 1. Introduction -- 1.1. Renewable Energy's Unreliable Nature -- 1.2. Distributed Architecture Benefits -- 1.3. Renewable Energy Resources -- 1.4. Need for Effective Utilization -- 2. Related Works -- 2.1. Existing Systems -- 2.2. Problems with Existing System -- 3. Proposed Grid Design -- 3.1. Architecture -- 3.2. Smart Energy Distribution -- 3.3. Storage Automation -- 3.4. Data Analysis -- 4. Grid Modules -- 4.1. Energy Storage Pool -- 4.2. Energy Flow Controller -- 4.3. Data Storage -- 4.4. Communication -- 5. Experimental Setup -- 6. Techniques Incorporated -- 6.1. BC Network -- 6.2. IoT Data Transmission -- 6.3. Smart Contracts -- 6.4. Distributed Storage Structure -- 6.5. Cognitive Character -- 7. Challenges and Issues -- 8. Results -- 8.1. SARIMAX Load Forecasting -- 8.2. Spectral Clustering -- 8.3. Distributed Storage -- 8.4. P2P Energy Trade with Reservations -- 9. Conclusion -- References.
,
7. Optimized Channel Selection Scheme Using Cognitive Radio Controller for Health Monitoring and Post-Disaster Management Applications -- 1. Introduction -- 1.1. Cognitive Radio Network -- 1.2. Dynamic Spectrum Access -- 2. Problem Identification -- 3. System Model -- 3.1. Channel Identification -- 3.2. Channel Assignment -- 3.3. Channel Mobility -- 4. Scheduling and Routing Process -- 4.1. Transmission Power -- 4.2. Minimizing Overhead Problem (MOP) -- 4.3. Overhead -- 5. Experimental Setup and Results -- 6. Application of DSA in Health Monitoring System -- 6.1. Data Extraction Using CRC (Tier 1) -- 6.2. Channel Selection Layer (Tier 2) -- 6.2.1 WBAN Controller -- 6.2.2 Cognitive Radio Controller -- 6.3. Application Layer (Tier 3) -- 7. Application of DSA in Post Disaster Management Applications -- 8. Conclusion -- References -- 8. TB-PAD: A Novel Trust-Based Platooning Attack Detection in Cognitive Software-Defined Vehicular Network (CSDVN) -- 1. Introduction -- 2. TB-PAD Proposed Methodology -- 3. Related Works -- 3.1. Network Model -- 3.2. Misbehavior Model -- 3.3. Proposed Methodology for TB-PAD -- 4. Simulation and Results -- 5. Conclusion -- References -- 9. Analysis of Security Issues in IoT System -- 1. Introduction -- 2. IoT Architecture -- 2.1. Perception Layer -- 2.2. Network Layer -- 2.3. Processing Layer -- 2.4. Application Layer -- 3. Some Important Technologies -- 3.1. Radio Frequency Identification -- 3.2. Wireless Sensor Network -- 3.3. Green IoT -- 4. Applications of IoT -- 4.1. IoT in Healthcare -- 4.2. IoT in Transport -- 4.3. IoT in Smart Houses -- 4.4. IoT in Agriculture -- 4.5. IoT in Industries -- 4.6. IoT in Education -- 4.7. IoT in Smart Cities -- 5. Security and Authenticity of Data in IoT -- 5.1. Data Confidentiality -- 5.2. Date Integrity -- 5.3. Data Access Control -- 5.4. Data Availability -- 5.5. Data Encryption.
,
6. Layered Analysis of Attacks and Countermeasures -- 6.1. Perception Layer Attacks and Countermeasures -- 6.1.1 Some Attacks on Perception Layer -- a Fake Node Insertion -- b Malicious Code Insertion -- c Side Channel Attack -- d Sinkhole Attack -- e Device Tampering -- f Social Engineering Attack -- g Node Capture Attacks -- h Sleep Deprivation Attack (SDA) -- 6.1.2 Some Countermeasures to Protect Perception Layer -- a Authentication -- b Data Integrity Schemes -- c IPSec (Internet Protocol Security) -- d Secure Physical Designing -- e Safe Booting -- 6.2. Network Layer Attacks and Countermeasures -- 6.2.1 Some Attacks on Network Layer -- a Traffic Analysis Attack -- b Man in the Middle Attack (MIMA) -- c Denial of Service Attack (DoS) -- d Sybil Attack -- e False Data Injection Attack (FDIA) -- f Black Hole Attack (BHA) -- g Worm Hole Attack -- h Routing Table Overflow Attack -- i Distributed Denial-of-Service Attack -- 6.2.2 Some Countermeasures to Protect Network Layer -- a Routing Security -- b Protection against Denial of Service Attacks -- c Sybil Attack Countermeasure -- d False Data Injection Attack Countermeasures -- 6.3. Processing Layer Attacks and Countermeasures -- 6.3.1 Processing Layer Attacks -- a Session Hijacking -- b XML Signature Wrapping Attack -- c SaaS Security Threats -- d SQL Injection -- e Flooding Attack -- 6.3.2 Processing Layer Countermeasures -- a Homomorphic Encryption -- b End-to-End Encryption -- 6.4. Application Layer Attacks and Countermeasures -- 6.4.1 Some Attacks on Application Layer -- a Data Modification Attack -- b Reprogramming Attack -- c Phishing Attack -- 6.4.2 Some Countermeasures to Protect Application Layer -- a Firewall -- b User Authentication -- c Sniffing Attack Countermeasure -- 7. Conclusion -- References -- 10. Resource Optimization of Cloud Services with Bi-layered Blockchain.
,
1. Introduction -- 2. Literature Review -- 3. Problem Statement -- 4. Bi-layering of Blockchain -- 5. Smart Contracts -- 6. Solidity -- 7. System Design -- 8. Implementation -- 9. Consensus Algorithm -- 9.1. Mathematical Analysis on Modified PoW -- 10. Application of Proposed Solution on AWS S3 -- 11. Signing and Authenticating Rest Request -- 12. Results -- 13. Conclusion -- References -- 11. Trust-Based GPS Faking Attack Detection in Cognitive Software-Defined Vehicular Network (CSDVN) -- 1. Introduction -- 2. Related Works -- 3. Trust-Based GPS Faking Attack Detection Methodology for CSDVN -- 3.1. Network Model -- 3.2. Misbehavior Model -- 3.3. Proposed Methodology for GPS Faking Attack Detection -- 4. Simulation and Results -- 5. Conclusion -- References -- Part III: Applications -- 12. Cognitive Intelligence-Based Framework for Financial Forecasting -- 1. Introduction -- 2. Artificial Neural Network -- 3. ANN Training Methods -- 3.1. Gradient Descent-Based Method -- 3.2. Evolutionary Optimization-Based Method -- 3.2.1 FWA -- 3.2.5 MBO -- 3.2.6 MVO -- 4. Financial Time Series Data -- 5. ANN-Based Financial Prediction -- 6. Simulation Studies and Results Analysis -- 7. Conclusions -- References -- 13. Benefits of IoT in Monitoring and Regulation of Power Sector -- 1. Introduction -- 1.1. Indian Power Distribution Reforms Scenario -- 1.2. Emergence of Internet of Things (IoT) -- 1.3. IoT in Renewable Energy Sources -- 2. IoT in Power Sector -- 3. IoT Architecture and Basic Blocks -- 3.1. Device Management -- 3.2. User Management -- 3.3. Security Monitoring -- 4. IoT Based Grid -- 4.1. Applications in Real-Time Systems -- 5. Comparison of Conventional Power Grid and Smart Grid -- 6. Application of IoT in the Electrical Power Industry -- 6.1. IoT SCADA -- 6.2. Smart Metering -- 6.3. Building Automation -- 6.4. Connected Public Lighting.
Additional Edition:
Print version: Cognitive computing using green technologies Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021. ISBN 9780367487966
Language:
English
Keywords:
Electronic books.
URL:
https://www.taylorfrancis.com/books/9781003121619
Bookmarklink
