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Cognitive engineering for next generation computing : a practical analytical approach /
"The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Beverly, MA : Scrivener Publishing ; Hoboken, NJ :
John Wiley & Sons, Inc.,
2021.
|
| Colección: | Next Generation Computing and Communication Engineering
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 050 | 0 | 4 | |a QA76.9.H85 |b C639 2021 |
| 082 | 0 | 0 | |a 004.2/1 |2 23 |
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Cognitive engineering for next generation computing : |b a practical analytical approach / |c edited by Kolla Bhanu Prakash, G. R. Kanagachidambaresan, V. Srikanth, E. Vamsidhar. |
| 264 | 1 | |a Beverly, MA : Scrivener Publishing ; |a Hoboken, NJ : |b John Wiley & Sons, Inc., |c 2021. | |
| 264 | 4 | |c ©2021 | |
| 300 | |a 1 online resource : |b illustrations (some color). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Next Generation Computing and Communication Engineering | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices. This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results."-- |c Provided by publisher. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on April 06, 2022). | ||
| 505 | 0 | |a Preface xvii Acknowledgments xix 1 Introduction to Cognitive Computing 1; Vamsidhar Enireddy, Sagar Imambi and C. | |
| 505 | 0 | |a Hypothesis Space 30 1.11.1 Hypothesis Generation 31 1.11.2 Hypotheses Score 32 1.12 Developing a Cognitive Computing Application 32 1.13 Building a Health Care Application 35 1.13.1 Healthcare Ecosystem Constituents 35 1.13.2 Beginning With a Cognitive Healthcare Application 37 1.13.3 Characterize the Questions Asked by the Clients 37 1.13.4 Creating a Corpus and Ingesting the Content 38 1.13.5 Training the System 38 1.13.6 Applying Cognition to Develop Health and Wellness 39 1.13.7 Welltok 39 1.13.8 CaféWell Concierge in Action 41 1.14 Advantages of Cognitive Computing 42 1.15 Features of Cognitive Computing 43 1.16 Limitations of Cognitive Computing 44 1.17 Conclusion 47 References 47 2 Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges 49; Janmenjoy Nayak, P. | |
| 505 | 0 | |a Suresh Kumar, Dukka Karun Kumar Reddy, Bighnaraj Naik and Danilo Pelusi 2.1 Introduction 50 2.2 Cyber-Physical System Architecture 52 2.3 Human-in-the-Loop Cyber-Physical Systems (HiLCPS) 53 2.4 Machine Learning Applications in CPS 55 2.4.1 K-Nearest Neighbors (K-NN) in CPS 55 2.4.2 Support Vector Machine (SVM) in CPS 58 2.4.3 Random Forest (RF) in CPS 61 2.4.4 Decision Trees (DT) in CPS 63 2.4.5 Linear Regression (LR) in CPS 65 2.4.6 Multi-Layer Perceptron (MLP) in CPS 66 2.4.7 Naive Bayes (NB) in CPS 70 2.5 Use of IoT in CPS 70 2.6 Use of Big Data in CPS 72 2.7 Critical Analysis 77 2.8 Conclusion 83 References 84 3 HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection 93; J.A.D.C.A. Jayakody, E.A.G.A. | |
| 505 | 0 | |a Originality and Innovativeness of the Research 116 3.6.1 Validation and Quality Control of Methods 117 3.6.2 Cost-Effectiveness of the Research 117 3.7 Conclusion 117 References 117 4 Advanced Cognitive Models and Algorithms 121; J. Ramkumar, M. Baskar and B. | |
| 505 | 0 | |a Amutha 4.1 Introduction 122 4.2 Microsoft Azure Cognitive Model 122 4.2.1 AI Services Broaden in Microsoft Azure 125 4.3 IBM Watson Cognitive Analytics 126 4.3.1 Cognitive Computing 126 4.3.2 Defining Cognitive Computing via IBM Watson Interface 127 4.3.2.1 Evolution of Systems Towards Cognitive Computing 128 4.3.2.2 Main Aspects of IBM Watson 129 4.3.2.3 Key Areas of IBM Watson 130 4.3.3 IBM Watson Analytics 130 4.3.3.1 IBM Watson Features 131 4.3.3.2 IBM Watson DashDB 131 4.4 Natural Language Modeling 132 4.4.1 NLP Mainstream 132 4.4.2 Natural Language Based on Cognitive Computation 134 4.5 Representation of Knowledge Models 134 4.6 Conclusion 137 References 138 5 iParking -- Smart Way to Automate the Management of the Parking System for a Smart City 141; J.A.D.C.A. Jayakody, E.A.G.A. Edirisinghe, S.A.H.M. Karunanayaka, E.M.C.S. | |
| 505 | 0 | |a Ekanayake, H.K.T.M. Dikkumbura and L.A.I.M. Bandara 5.1 Introduction 142 5.2 Background & Literature Review 144 5.2.1 Background 144 5.2.2 Review of Literature 145 5.3 Research Gap 151 5.4 Research Problem 151 5.5 Objectives 153 5.6 Methodology 154 5.6.1 Lot Availability and Occupancy Detection 154 5.6.2 Error Analysis for GPS (Global Positioning System) 155 5.6.3 Vehicle License Plate Detection System 156 5.6.4 Analyze Differential Parking Behaviors and Pricing 156 5.6.5 Targeted Digital Advertising 157 5.6.6 Used Technologies 157 5.6.7 Specific Tools and Libraries 158 5.7 Testing and Evaluation 159 5.8 Results 161 5.9 Discussion 162 5.10 Conclusion 164 References 165 6 Cognitive Cyber-Physical System Applications 167; John A., Senthilkumar Mohan and D. | |
| 505 | 0 | |a Maria Manuel Vianny 6.1 Introduction 168 6.2 Properties of Cognitive Cyber-Physical System 169 6.3 Components of Cognitive Cyber-Physical System 170 6.4 Relationship Between Cyber-Physical System for Human-Robot 171 6.5 Applications of Cognitive Cyber-Physical System 172 6.5.1 Transportation 172 6.5.2 Industrial Automation 173 6.5.3 Healthcare and Biomedical 176 6.5.4 Clinical Infrastructure 178 6.5.5 Agriculture 180 6.6 Case Study: Road Management System Using CPS 181 6.6.1 Smart Accident Response System for Indian City 182 6.7 Conclusion 184 References 185 7 Cognitive Computing 189 ; T Gunasekhar and Marella Surya Teja 7.1 Introduction 189 7.2 Evolution of Cognitive System 191 7.3 Cognitive Computing Architecture 193 7.3.1 Cognitive Computing and Internet of Things 194 7.3.2 Cognitive Computing and Big Data Analysis | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a User-centered system design. | |
| 650 | 0 | |a Soft computing. | |
| 650 | 0 | |a Internet of things. | |
| 650 | 6 | |a Conception participative (Conception de systèmes) | |
| 650 | 6 | |a Informatique douce. | |
| 650 | 6 | |a Internet des objets. | |
| 650 | 7 | |a Internet of things. |2 fast |0 (OCoLC)fst01894151 | |
| 650 | 7 | |a Soft computing. |2 fast |0 (OCoLC)fst01124115 | |
| 650 | 7 | |a User-centered system design. |2 fast |0 (OCoLC)fst01740021 | |
| 700 | 1 | |a Prakash, Kolla Bhanu, |e editor. | |
| 700 | 1 | |a Kanagachidambaresan, G. R., |d 1988- |e editor. | |
| 700 | 1 | |a Srikanth, V., |e editor. | |
| 700 | 1 | |a Vamsidhar, E., |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Cognitive engineering for next generation computing |d Hoboken, NJ : Wiley-Scrivener, 2021 |z 9781119711087 |w (DLC) 2021014555 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781119711087/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||