Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
LEADER 00000cam a2200721 i 4500
003 OCoLC
005 20240129213017.0
006 m o d
007 cr |||||||||||
008 210329t20212021maua ob 001 0 eng
010 2021014556
019 1250272530
020 9781119711292|qelectronic book
020 1119711290|qelectronic book
020 9781119711285|qelectronic book
020 1119711282|qelectronic book
020 9781119711308|qelectronic book
020 1119711304|qelectronic book
020 |qhardcover
020 |qhardcover
029 1 AU@|b000069149763
029 1 AU@|b000069704401
035 (OCoLC)1245250755|z(OCoLC)1250272530
040 DLC|beng|erda|cDLC|dOCLCO|dOCLCF|dDG1|dNLW|dYDX|dOCLCO
|dSFB|dOCLCQ|dOCLCO|dOCLCL
049 INap
082 00 004.2/1
082 00 004.2/1|223
099 eBook O'Reilly for Public Libraries
245 00 Cognitive engineering for next generation computing :|ba
practical analytical approach /|cedited by Kolla Bhanu
Prakash, G. R. Kanagachidambaresan, V. Srikanth, E.
Vamsidhar.|h[O'Reilly electronic resource]
264 1 Beverly, MA : Scrivener Publishing ;|aHoboken, NJ :|bJohn
Wiley & Sons, Inc.,|c2021.
264 4 |c©2021
300 1 online resource :|billustrations (some color).
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
490 0 Next Generation Computing and Communication Engineering
504 Includes bibliographical references and index.
505 0 Preface xvii Acknowledgments xix 1 Introduction to
Cognitive Computing 1; Vamsidhar Enireddy, Sagar Imambi
and C.
505 0 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 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 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 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 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 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
520 "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."--
|cProvided by publisher.
588 Description based on online resource; title from digital
title page (viewed on April 06, 2022).
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 User-centered system design.
650 0 Soft computing.
650 0 Internet of things.
650 6 Conception participative (Conception de systèmes)
650 6 Informatique douce.
650 6 Internet des objets.
650 7 Internet of things|2fast
650 7 Soft computing|2fast
650 7 User-centered system design|2fast
700 1 Prakash, Kolla Bhanu,|eeditor.
700 1 Kanagachidambaresan, G. R.,|d1988-|eeditor.|1https://
id.oclc.org/worldcat/entity/E39PCjB4TJYkkVTydMtGcmmY8C
700 1 Srikanth, V.,|eeditor.
700 1 Vamsidhar, E.,|eeditor.
776 08 |iPrint version:|tCognitive engineering for next
generation computing|dHoboken, NJ : Wiley-Scrivener, 2021
|z9781119711087|w(DLC) 2021014555
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781119711087/?ar
|aAvailable on O'Reilly for Public Libraries
994 92|bJFN