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The 3G IP multimedia subsystem (IMS) : merging the Internet and the cellular worlds / / Gonzalo Camarillo, Miguel A. García-Martín
| The 3G IP multimedia subsystem (IMS) : merging the Internet and the cellular worlds / / Gonzalo Camarillo, Miguel A. García-Martín |
| Autore | Camarillo Gonzalo |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, England : , : John Wiley & Sons, Ltd, , 2006 |
| Descrizione fisica | 1 online resource (457 p.) |
| Disciplina | 621.38456 |
| Soggetto topico |
Wireless communication systems
Mobile communication systems Multimedia communications Internet Protocol multimedia subsystem |
| ISBN |
1-280-73964-9
9786610739646 0-470-03142-5 0-470-03141-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The 3G IP Multimedia Subsystem (IMS); Contents; Foreword by Stephen Hayes; Foreword by Allison Mankin and Jon Peterson; About the Authors; Preface to the Second Edition; Preface to the First Edition; Acknowledgements; Part I Introduction to the IMS; 1 IMS Vision: Where Do We Want to Go?; 1.1 The Internet; 1.2 The Cellular World; 1.3 Why do we need the IMS?; 1.4 Relation between IMS and non-IMS Services; 2 The History of the IMS Standardization; 2.1 Relations between IMS-related Standardization Bodies; 2.2 Internet Engineering Task Force; 2.2.1 Structure of the IETF
2.2.2 Working Group Operations2.2.3 Types of RFCs; 2.3 Third Generation Partnership Project; 2.3.1 3GPP Structure; 2.3.2 3GPP Deliverables; 2.4 Third Generation Partnership Project; 2.4.1 3GPP2 Structure; 2.4.2 3GPP2 Deliverables; 2.5 IETF-3GPP/3GPP2 Collaboration; 2.5.1 Internet Area; 2.5.2 Operations and Management Area; 2.5.3 Transport Area; 2.6 Open Mobile Alliance; 2.6.1 OMA Releases and Specifications; 2.6.2 Relationship between OMA and 3GPP/3GPP2; 2.6.3 Relationship between OMA and the IETF; 3 General Principles of the IMS Architecture; 3.1 From Circuit-switched to Packet-switched 3.1.1 GSM Circuit-switched3.1.2 GSM Packet-switched; 3.2 IMS Requirements; 3.2.1 IP Multimedia Sessions; 3.2.2 QoS; 3.2.3 Interworking; 3.2.4 Roaming; 3.2.5 Service Control; 3.2.6 Rapid Service Creation; 3.2.7 Multiple Access; 3.3 Overview of Protocols used in the IMS; 3.3.1 Session Control Protocol; 3.3.2 The AAA Protocol; 3.3.3 Other Protocols; 3.4 Overview of IMS Architecture; 3.4.1 The Databases: the HSS and the SLF; 3.4.2 The CSCF; 3.4.3 The AS; 3.4.4 The MRF; 3.4.5 The BGCF; 3.4.6 The IMS-ALG and the TrGW; 3.4.7 The PSTN/CS Gateway; 3.4.8 Home and Visited Networks 3.5 Identification in the IMS3.5.1 Public User Identities; 3.5.2 Private User Identities; 3.5.3 The Relation between Public and Private User Identities; 3.5.4 Public Service Identities; 3.6 SIM, USIM, and ISIM in 3GPP; 3.6.1 SIM; 3.6.2 USIM; 3.6.3 ISIM; Part II The Signaling Plane in the IMS; 4 Session Control on the Internet; 4.1 SIP Functionality; 4.1.1 Session Descriptions and SDP; 4.1.2 The Offer/Answer Model; 4.1.3 SIP and SIPS URIs; 4.1.4 User Location; 4.2 SIP Entities; 4.2.1 Forking Proxies; 4.2.2 Redirect Servers; 4.3 Message Format 4.4 The Start Line in SIP Responses: the Status Line4.5 The Start Line in SIP Requests: the Request Line; 4.6 Header Fields; 4.7 Message Body; 4.8 SIP Transactions; 4.9 Message Flow for Session Establishment; 4.10 SIP Dialogs; 4.10.1 Record-Route, Route, and Contact Header Fields; 4.11 Extending SIP; 4.11.1 New Methods; 4.12 Caller Preferences and User Agent Capabilities; 4.13 Reliability of Provisional Responses; 4.14 Preconditions; 4.15 Event Notification; 4.15.1 High Notification Rates; 4.16 Signaling Compression; 4.16.1 SigComp Extended Operations; 4.16.2 Static SIP/SDP Dictionary 4.17 Content Indirection |
| Record Nr. | UNISA-996210543503316 |
Camarillo Gonzalo
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| Chichester, England : , : John Wiley & Sons, Ltd, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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5G Innovations for Industry Transformation : Data‐Driven Use Cases
| 5G Innovations for Industry Transformation : Data‐Driven Use Cases |
| Pubbl/distr/stampa | John Wiley & Sons, Ltd |
| ISBN | 1-394-18151-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 5G Innovations for Industry Transformation |
| Record Nr. | UNINA-9910831184203321 |
| John Wiley & Sons, Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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5G Innovations for Industry Transformation : Data‐Driven Use Cases
| 5G Innovations for Industry Transformation : Data‐Driven Use Cases |
| Pubbl/distr/stampa | John Wiley & Sons, Ltd |
| ISBN | 1-394-18151-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 5G Innovations for Industry Transformation |
| Record Nr. | UNINA-9910841446703321 |
| John Wiley & Sons, Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Accelerators for Convolutional Neural Networks
| Accelerators for Convolutional Neural Networks |
| Pubbl/distr/stampa | John Wiley & Sons, Ltd |
| ISBN | 1-394-17191-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910747100003321 |
| John Wiley & Sons, Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Adaptive filtering and change detection / / Fredrik Gustafsson
| Adaptive filtering and change detection / / Fredrik Gustafsson |
| Autore | Gustafsson Fredrik |
| Pubbl/distr/stampa | Chichester, West Sussex, England : , : John Wiley & Sons, Ltd, , 2000 |
| Descrizione fisica | 1 online resource (512 p.) |
| Disciplina | 621.3822 |
| Soggetto topico |
Adaptive filters
Electric fault location |
| ISBN |
1-280-55504-1
9786610555048 0-470-85340-9 1-60119-546-X 0-470-84161-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Adaptive Filtering and Change Detection; Contents; Preface; Part I: Introduction; 1. Extended summary; 2. Applications; Part II: Signal estimation; 3. On-line approaches; 4. Off-line approaches; Part III: Parameter estimation; 5. Adaptive filtering; 6. Change detection based on sliding windows; 7. Change detection based on filter banks; Part IV: State estimation; 8. Kalman filtering; 9. Change detection based on likelihood ratios; 10. Change detection based on multiple models; 11. Change detection based on algebraical consistency tests; Part V: Theory; 12. Evaluation theory
13. Linear estimationA. Signal models and notation; B. Fault detection terminology; Bibliography; Index |
| Record Nr. | UNINA-9910146050703321 |
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Gustafsson Fredrik
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| Chichester, West Sussex, England : , : John Wiley & Sons, Ltd, , 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced digital signal processing and noise reduction / / Saeed V. Vaseghi
| Advanced digital signal processing and noise reduction / / Saeed V. Vaseghi |
| Autore | Vaseghi Saeed V. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, England : , : John Wiley & Sons, Ltd, , 2000 |
| Descrizione fisica | 1 online resource (499 p.) |
| Disciplina |
621.382/2
621.3822 |
| Altri autori (Persone) |
MusgraveP. W (Peter William)
SelleckR. J. W <1934-> (Richard Joseph Wheeler) |
| Soggetto topico |
Signal processing
Electronic noise Digital filters (Mathematics) |
| ISBN |
1-280-55505-X
9786610555055 0-470-84162-1 0-470-85342-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Advanced Digital Signal Processing and Noise Reduction Second Edition; CONTENTS; PREFACE; FREQUENTLY USED SYMBOLS AND ABBREVIATIONS; CHAPTER 1 INTRODUCTION; CHAPTER 2 NOISE AND DISTORTION; CHAPTER 3 PROBABILITY MODELS; CHAPTER 4 BAYESIAN ESTIMATION; CHAPTER 5 HIDDEN MARKOV MODELS; CHAPTER 6 WIENER FILTERS; CHAPTER 7 ADAPTIVE FILTERS; CHAPTER 8 LINEAR PREDICTION MODELS; CHAPTER 9 POWER SPECTRUM AND CORRELATION; CHAPTER 10 INTERPOLATION; CHAPTER 11 SPECTRAL SUBTRACTION; CHAPTER 12 IMPULSIVE NOISE; CHAPTER 13 TRANSIENT NOISE PULSES; CHAPTER 14 ECHO CANCELLATION
CHAPTER 15 CHANNEL EQUALIZATION AND BLIND DECONVOLUTIONINDEX |
| Record Nr. | UNINA-9910142490603321 |
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Vaseghi Saeed V.
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| Chichester, West Sussex, England : , : John Wiley & Sons, Ltd, , 2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced paediatric life support : a practical approach to emergencies
| Advanced paediatric life support : a practical approach to emergencies |
| Pubbl/distr/stampa | John Wiley & Sons, Ltd |
| ISBN | 1-119-71618-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advanced Paediatric Life Support |
| Record Nr. | UNINA-9910735565803321 |
| John Wiley & Sons, Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in longitudinal survey methodology / / edited by Peter Lynn
| Advances in longitudinal survey methodology / / edited by Peter Lynn |
| Pubbl/distr/stampa | John Wiley & Sons, Ltd |
| Descrizione fisica | 1 online resource (xxvii, 516 pages) : illustrations |
| Disciplina | 001.433 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico | Longitudinal method |
| ISBN |
1-119-37696-3
1-119-37695-5 1-119-37694-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Wiley Series in Probability and Statistics -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- About the Companion Website -- Chapter 1 Refreshment Sampling for Longitudinal Surveys -- 1.1 Introduction -- 1.2 Principles -- 1.3 Sampling -- 1.3.1 Sampling Frame -- 1.3.2 Screening -- 1.3.3 Sample Design -- 1.3.4 Questionnaire Design -- 1.3.5 Frequency -- 1.4 Recruitment -- 1.5 Data Integration -- 1.6 Weighting -- 1.7 Impact on Analysis -- 1.8 Conclusions -- References -- Chapter 2 Collecting Biomarker Data in Longitudinal Surveys -- 2.1 Introduction -- 2.2 What Are Biomarkers, and Why Are They of Value? -- 2.2.1 Detailed Measurements of Ill Health -- 2.2.2 Biological Pathways -- 2.2.3 Genetics in Longitudinal Studies -- 2.3 Approaches to Collecting Biomarker Data in Longitudinal Studies -- 2.3.1 Consistency and Relevance of Measures Over Time -- 2.3.2 Panel Conditioning and Feedback -- 2.3.3 Choices of When and Who to Ask for Sensitive or Invasive Measures -- 2.3.4 Cost -- 2.4 The Future -- References -- Chapter 3 Innovations in Participant Engagement and Tracking in Longitudinal Surveys -- 3.1 Introduction and Background -- 3.2 Literature Review -- 3.3 Current Practice -- 3.4 New Evidence on Internet and Social Media for Participant Engagement -- 3.4.1 Background -- 3.4.2 Findings -- 3.4.2.1 MCS -- 3.4.2.2 Next Steps -- 3.4.3 Summary and Conclusions -- 3.5 New Evidence on Internet and Social Media for Tracking -- 3.5.1 Background -- 3.5.2 Findings -- 3.5.3 Summary and Conclusions -- 3.6 New Evidence on Administrative Data for Tracking -- 3.6.1 Background -- 3.6.2 Findings -- 3.6.3 Summary and Conclusions -- 3.7 Conclusion -- Acknowledgements -- References -- Chapter 4 Effects on Panel Attrition and Fieldwork Outcomes from Selection for a Supplemental Study: Evidence from the Panel Study of Income Dynamics.
4.1 Introduction -- 4.2 Conceptual Framework -- 4.3 Previous Research -- 4.4 Data and Methods -- 4.5 Results -- 4.6 Conclusions -- Acknowledgements -- References -- Chapter 5 The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Cooperation -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Biological Data Collection and Subsequent Cooperation: Research Questions -- 5.4 Data -- 5.5 Modelling Steps -- 5.6 Results -- 5.7 Discussion and Conclusion -- 5.8 Implications for Survey Researchers -- References -- Chapter 6 Understanding Data Linkage Consent in Longitudinal Surveys -- 6.1 Introduction -- 6.2 Quantitative Research: Consistency of Consent and Effect of Mode of Data Collection -- 6.2.1 Data and Methods -- 6.2.2 Results -- 6.2.2.1 How Consistent Are Respondents about Giving Consent to Data Linkage between Topics? -- 6.2.2.2 How Consistent Are Respondents about Giving Consent to Data Linkage over Time? -- 6.2.2.3 Does Consistency over Time Vary between Domains? -- 6.2.2.4 What Is the Effect of Survey Mode on Consent? -- 6.3 Qualitative Research: How Do Respondents Decide Whether to Give Consent to Linkage? -- 6.3.1 Methods -- 6.3.2 Results -- 6.3.2.1 How Do Participants Interpret Consent Questions? -- 6.3.2.2 What Do Participants Think Are the Implications of Giving Consent to Linkage? -- 6.3.2.3 What Influences the Participant's Decision Whether or Not to Give Consent? -- 6.3.2.4 How Does the Survey Mode Influence the Decision to Consent? -- 6.3.2.5 Why Do Participants Change their Consent Decision over Time? -- 6.4 Discussion -- Acknowledgements -- References -- Chapter 7 Determinants of Consent to Administrative Records Linkage in Longitudinal Surveys: Evidence from Next Steps -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Data and Methods -- 7.3.1 About the Study -- 7.3.2 Consents Sought and Consent Procedure. 7.3.3 Analytic Sample -- 7.3.4 Methods -- 7.4 Results -- 7.4.1 Consent Rates -- 7.4.2 Regression Models -- 7.4.2.1 Concepts and Variables -- 7.4.2.2 Characteristics Related to All or Most Consent Domains -- 7.4.2.3 National Health Service (NHS) Records -- 7.4.2.4 Police National Computer (PNC) Criminal Records -- 7.4.2.5 Education Records -- 7.4.2.6 Economic Records -- 7.5 Discussion -- 7.5.1 Summary of Results -- 7.5.2 Methodological Considerations and Limitations -- 7.5.3 Practical Implications -- References -- Chapter 8 Consent to Data Linkage: Experimental Evidence from an Online Panel -- 8.1 Introduction -- 8.2 Background -- 8.2.1 Experimental Studies of Data Linkage Consent in Longitudinal Surveys -- 8.3 Research Questions -- 8.4 Method -- 8.4.1 Data -- 8.4.2 Study 1: Attrition Following Data Linkage Consent -- 8.4.3 Study 2: Testing the Effect of Type and Length of Data Linkage Consent Questions -- 8.5 Results -- 8.5.1 Do Requests for Data Linkage Consent Affect Response Rates in Subsequent Waves? (RQ1) -- 8.5.2 Do Consent Rates Depend on Type of Data Linkage Requested? (RQ2a) -- 8.5.3 Do Consent Rates Depend on Survey Mode? (RQ2b) -- 8.5.4 Do Consent Rates Depend on the Length of the Request? (RQ2c) -- 8.5.5 Effects on Understanding of the Data Linkage Process (RQ3) -- 8.5.6 Effects on Perceptions of the Risk of Data Linkage (RQ4) -- 8.6 Discussion -- References -- Chapter 9 Mixing Modes in Household Panel Surveys: Recent Developments and New Findings -- 9.1 Introduction -- 9.2 The Challenges of Mixing Modes in Household Panel Surveys -- 9.3 Current Experiences with Mixing Modes in Longitudinal Household Panels -- 9.3.1 The German Socio‐Economic Panel (SOEP) -- 9.3.2 The Household, Income, and Labour Dynamics in Australia (HILDA) Survey -- 9.3.3 The Panel Study of Income Dynamics (PSID) -- 9.3.4 The UK Household Longitudinal Study (UKHLS). 9.3.5 The Korean Labour and Income Panel Study (KLIPS) -- 9.3.6 The Swiss Household Panel (SHP) -- 9.4 The Mixed‐Mode Pilot of the Swiss Household Panel Study -- 9.4.1 Design of the SHP Pilot -- 9.4.2 Results of the First Wave -- 9.4.2.1 Overall Response Rates in the Three Groups -- 9.4.2.2 Use of Different Modes in the Three Groups -- 9.4.2.3 Household Nonresponse in the Three Groups -- 9.4.2.4 Individual Nonresponse in the Three Groups -- 9.5 Conclusion -- References -- Chapter 10 Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies: Current Practice and Issues -- 10.1 Introduction -- 10.2 Types of Mixed‐Mode Designs -- 10.3 Mode Effects and Longitudinal Data -- 10.3.1 Estimating Change from Mixed‐Mode Longitudinal Survey Data -- 10.3.2 General Concepts in the Investigation of Mode Effects -- 10.3.3 Mode Effects on Measurement in Longitudinal Data: Literature Review -- 10.4 Methods for Estimating Mode Effects on Measurement in Longitudinal Studies -- 10.5 Using Structural Equation Modelling to Investigate Mode Differences in Measurement -- 10.6 Conclusion -- Acknowledgement -- References -- Chapter 11 Measuring Cognition in a Multi‐Mode Context -- 11.1 Introduction -- 11.2 Motivation and Previous Literature -- 11.2.1 Measurement of Cognition in Surveys -- 11.2.2 Mode Effects and Survey Response -- 11.2.3 Cognition in a Multi‐Mode Context -- 11.2.4 Existing Mode Comparisons of Cognitive Ability -- 11.3 Data and Methods -- 11.3.1 Data Source -- 11.3.2 Analytic Sample -- 11.3.3 Administration of Cognitive Tests -- 11.3.4 Methods -- 11.3.4.1 Item Missing Data -- 11.3.4.2 Completion Time -- 11.3.4.3 Overall Differences in Scores -- 11.3.4.4 Correlations Between Measures -- 11.3.4.5 Trajectories over Time -- 11.3.4.6 Models Predicting Cognition as an Outcome -- 11.4 Results -- 11.4.1 Item‐Missing Data -- 11.4.2 Completion Time. 11.4.3 Differences in Mean Scores -- 11.4.4 Correlations Between Measures -- 11.4.5 Trajectories over Time -- 11.4.6 Substantive Models -- 11.5 Discussion -- Acknowledgements -- References -- Chapter 12 Panel Conditioning: Types, Causes, and Empirical Evidence of What We Know So Far -- 12.1 Introduction -- 12.2 Methods for Studying Panel Conditioning -- 12.3 Mechanisms of Panel Conditioning -- 12.3.1 Survey Response Process and the Effects of Repeated Interviewing -- 12.3.2 Reflection/Cognitive Stimulus -- 12.3.3 Empirical Evidence of Reflection/Cognitive Stimulus -- 12.3.3.1 Changes in Attitudes Due to Reflection -- 12.3.3.2 Changes in (Self‐Reported) Behaviour Due to Reflection -- 12.3.3.3 Changes in Knowledge Due to Reflection -- 12.3.4 Social Desirability Reduction -- 12.3.5 Empirical Evidence of Social Desirability Effects -- 12.3.6 Satisficing -- 12.3.7 Empirical Evidence of Satisficing -- 12.3.7.1 Misreporting to Filter Questions as a Conditioning Effect Due to Satisficing -- 12.3.7.2 Misreporting to More Complex Filter (Looping) Questions -- 12.3.7.3 Within‐Interview and Between‐Waves Conditioning in Filter Questions -- 12.4 Conclusion and Implications for Survey Practice -- References -- Chapter 13 Interviewer Effects in Panel Surveys -- 13.1 Introduction -- 13.2 Motivation and State of Research -- 13.2.1 Sources of Interviewer‐Related Measurement Error -- 13.2.1.1 Interviewer Deviations -- 13.2.1.2 Social Desirability -- 13.2.1.3 Priming -- 13.2.2 Moderating Factors of Interviewer Effects -- 13.2.3 Interviewer Effects in Panel Surveys -- 13.2.4 Identifying Interviewer Effects -- 13.2.4.1 Interviewer Variance -- 13.2.4.2 Interviewer Bias -- 13.2.4.3 Using Panel Data to Identify Interviewer Effects -- 13.3 Data -- 13.3.1 The Socio‐Economic Panel -- 13.3.2 Variables -- 13.4 The Size and Direction of Interviewer Effects in Panels. 13.4.1 Methods. |
| Record Nr. | UNINA-9910830784303321 |
| John Wiley & Sons, Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Thermodynamics and Circular Thermoeconomics : Fundamentals and Criteria
| Advances in Thermodynamics and Circular Thermoeconomics : Fundamentals and Criteria |
| Pubbl/distr/stampa | John Wiley & Sons, Ltd |
| ISBN | 1-394-26487-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Thermodynamics and Circular Thermoeconomics |
| Record Nr. | UNINA-9910768379503321 |
| John Wiley & Sons, Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI and IoT-based intelligent automation in robotics / / editors, Ashutosh Kumar Dubey [et al.]
| AI and IoT-based intelligent automation in robotics / / editors, Ashutosh Kumar Dubey [et al.] |
| Pubbl/distr/stampa | John Wiley & Sons, Ltd |
| Descrizione fisica | 1 online resource (432 pages) : illustrations (chiefly color) |
| Disciplina | 629.892 |
| Soggetto topico |
Artificial intelligence - Industrial applications
Autonomous robots Internet of things |
| ISBN |
1-119-71123-1
1-5231-4317-7 1-119-71122-3 1-119-71121-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Introduction to Robotics -- 1.1 Introduction -- 1.2 History and Evolution of Robots -- 1.3 Applications -- 1.4 Components Needed for a Robot -- 1.5 Robot Interaction and Navigation -- 1.5.1 Humanoid Robot -- 1.5.2 Control -- 1.5.3 Autonomy Levels -- 1.6 Conclusion -- References -- 2 Techniques in Robotics for Automation Using AI and IoT -- 2.1 Introduction -- 2.2 Brief History of Robotics -- 2.3 Some General Terms -- 2.4 Requirements of AI and IoT for Robotic Automation -- 2.5 Role of AI and IoT in Robotics -- 2.6 Diagrammatic Representations of Some Robotic Systems -- 2.7 Algorithms Used in Robotics -- 2.8 Application of Robotics -- 2.9 Case Studies -- 2.9.1 Sophia -- 2.9.2 ASIMO -- 2.9.3 Cheetah Robot -- 2.9.4 IBM Watson -- 2.10 Conclusion -- References -- 3 Robotics, AI and IoT in the Defense Sector -- 3.1 Introduction -- 3.2 How Robotics Plays an Important Role in the Defense Sector -- 3.3 Review of the World's Current Robotics Capabilities in the Defense Sector -- 3.3.1 China -- 3.3.2 United State of America -- 3.3.3 Russia -- 3.3.4 India -- 3.4 Application Areas of Robotics in Warfare -- 3.4.1 Autonomous Drones -- 3.4.2 Autonomous Tanks and Vehicles -- 3.4.3 Autonomous Ships and Submarines -- 3.4.4 Humanoid Robot Soldiers -- 3.4.5 Armed Soldier Exoskeletons -- 3.5 Conclusion -- 3.6 Future Work -- References -- 4 Robotics, AI and IoT in Medical and Healthcare Applications -- 4.1 Introduction -- 4.1.1 Basics of AI -- 4.1.1.1 AI in Healthcare -- 4.1.1.2 Current Trends of AI in Healthcare -- 4.1.1.3 Limits of AI in Healthcare -- 4.1.2 Basics of Robotics -- 4.1.2.1 Robotics for Healthcare -- 4.1.3 Basics of IoT -- 4.1.3.1 IoT Scenarios in Healthcare -- 4.1.3.2 Requirements of Security -- 4.2 AI, Robotics and IoT: A Logical Combination.
4.2.1 Artificial Intelligence and IoT in Healthcare -- 4.2.2 AI and Robotics -- 4.2.2.1 Limitation of Robotics in Medical Healthcare -- 4.2.3 IoT with Robotics -- 4.2.3.1 Overview of IoMRT -- 4.2.3.2 Challenges of IoT Deployment -- 4.3 Essence of AI, IoT, and Robotics in Healthcare -- 4.4 Future Applications of Robotics, AI, and IoT -- 4.5 Conclusion -- References -- 5 Towards Analyzing Skill Transfer to Robots Based on Semantically Represented Activities of Humans -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Overview of Proposed System -- 5.3.1 Visual Data Retrieval -- 5.3.2 Data Processing to Attain User Objective -- 5.3.3 Knowledge Base -- 5.3.4 Robot Attaining User Goal -- 5.4 Results and Discussion -- 5.5 Conclusion -- References -- 6 Healthcare Robots Enabled with IoT and Artificial Intelligence for Elderly Patients -- 6.1 Introduction -- 6.1.1 Past, Present, and Future -- 6.1.2 Internet of Things -- 6.1.3 Artificial Intelligence -- 6.1.4 Using Robotics to Enhance Healthcare Services -- 6.2 Existing Robots in Healthcare -- 6.3 Challenges in Implementation and Providing Potential Solutions -- 6.4 Robotic Solutions for Problems Facing the Elderly in Society -- 6.4.1 Solutions for Physical and Functional Challenges -- 6.4.2 Solutions for Cognitive Challenges -- 6.5 Healthcare Management -- 6.5.1 Internet of Things for Data Acquisition -- 6.5.2 Robotics for Healthcare Assistance and Medication Management -- 6.5.3 Robotics for Psychological Issues -- 6.6 Conclusion and Future Directions -- References -- 7 Robotics, AI, and the IoT in Defense Systems -- 7.1 AI in Defense -- 7.1.1 AI Terminology and Background -- 7.1.2 Systematic Sensing Applications -- 7.1.3 Overview of AI in Defense Systems -- 7.2 Overview of IoT in Defense Systems -- 7.2.1 Role of IoT in Defense -- 7.2.2 Ministry of Defense Initiatives -- 7.2.3 IoT Defense Policy Challenges. 7.3 Robotics in Defense -- 7.3.1 Technical Challenges of Defense Robots -- 7.4 AI, Robotics, and IoT in Defense: A Logical Mix in Context -- 7.4.1 Combination of Robotics and IoT in Defense -- 7.4.2 Combination of Robotics and AI in Defense -- 7.5 Conclusion -- References -- 8 Techniques of Robotics for Automation Using AI and the IoT -- 8.1 Introduction -- 8.2 Internet of Robotic Things Concept -- 8.3 Definitions of Commonly Used Terms -- 8.4 Procedures Used in Making a Robot -- 8.4.1 Analyzing Tasks -- 8.4.2 Designing Robots -- 8.4.3 Computerized Reasoning -- 8.4.4 Combining Ideas to Make a Robot -- 8.4.5 Making a Robot -- 8.4.6 Designing Interfaces with Different Frameworks or Robots -- 8.5 IoRT Technologies -- 8.6 Sensors and Actuators -- 8.7 Component Selection and Designing Parts -- 8.7.1 Robot and Controller Structure -- 8.8 Process Automation -- 8.8.1 Benefits of Process Automation -- 8.8.2 Incorporating AI in Process Automation -- 8.9 Robots and Robotic Automation -- 8.10 Architecture of the Internet of Robotic Things -- 8.10.1 Concepts of Open Architecture Platforms -- 8.11 Basic Abilities -- 8.11.1 Discernment Capacity -- 8.11.2 Motion Capacity -- 8.11.3 Manipulation Capacity -- 8.12 More Elevated Level Capacities -- 8.12.1 Decisional Self-Sufficiency -- 8.12.2 Interaction Capacity -- 8.12.3 Cognitive Capacity -- 8.13 Conclusion -- References -- 9 An Artificial Intelligence-Based Smart Task Responder: Android Robot for Human Instruction Using LSTM Technique -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Proposed System -- 9.4 Results and Discussion -- 9.5 Conclusion -- References -- 10 AI, IoT and Robotics in the Medical and Healthcare Field -- 10.1 Introduction -- 10.2 A Survey of Robots and AI Used in the Health Sector -- 10.2.1 Surgical Robots -- 10.2.2 Exoskeletons -- 10.2.3 Prosthetics -- 10.2.4 Artificial Organs. 10.2.5 Pharmacy and Hospital Automation Robots -- 10.2.6 Social Robots -- 10.2.7 Big Data Analytics -- 10.3 Sociotechnical Considerations -- 10.3.1 Sociotechnical Influence -- 10.3.2 Social Valence -- 10.3.3 The Paradox of Evidence-Based Reasoning -- 10.4 Legal Considerations -- 10.4.1 Liability for Robotics, AI and IoT -- 10.4.2 Liability for Physicians Using Robotics, AI and IoT -- 10.4.3 Liability for Institutions Using Robotics, AI and IoT -- 10.5 Regulating Robotics, AI and IoT as Medical Devices -- 10.6 Conclusion -- References -- 11 Real-Time Mild and Moderate COVID-19 Human Body Temperature Detection Using Artificial Intelligence -- 11.1 Introduction -- 11.2 Contactless Temperature -- 11.2.1 Bolometers (IR-Based) -- 11.2.2 Thermopile Radiation Sensors (IR-Based) -- 11.2.3 Fiber-Optic Pyrometers -- 11.2.4 RGB Photocell -- 11.2.5 3D Sensor -- 11.3 Fever Detection Camera -- 11.3.1 Facial Recognition -- 11.3.2 Geometric Approach -- 11.3.3 Holistic Approach -- 11.3.4 Model-Based -- 11.3.5 Vascular Network -- 11.4 Simulation and Analysis -- 11.5 Conclusion -- References -- 12 Drones in Smart Cities -- 12.1 Introduction -- 12.1.1 Overview of the Literature -- 12.2 Utilization of UAVs for Wireless Network -- 12.2.1 Use Cases for WN Using UAVs -- 12.2.2 Classifications and Types of UAVs -- 12.2.3 Deployment of UAVS Using IoT Networks -- 12.2.4 IoT and 5G Sensor Technologies for UAVs -- 12.3 Introduced Framework -- 12.3.1 Architecture of UAV IoT -- 12.3.2 Ground Control Station -- 12.3.3 Data Links -- 12.4 UAV IoT Applications -- 12.4.1 UAV Traffic Management -- 12.4.2 Situation Awareness -- 12.4.3 Public Safety/Saving Lives -- 12.5 Conclusion -- References -- 13 UAVs in Agriculture -- 13.1 Introduction -- 13.2 UAVs in Smart Farming and Take-Off Panel -- 13.2.1 Overview of Systems -- 13.3 Introduction to UGV Systems and Planning. 13.4 UAV-Hyperspectral for Agriculture -- 13.5 UAV-Based Multisensors for Precision Agriculture -- 13.6 Automation in Agriculture -- 13.7 Conclusion -- References -- 14 Semi-Automated Parking System Using DSDV and RFID -- 14.1 Introduction -- 14.2 Ad Hoc Network -- 14.2.1 Destination-Sequenced Distance Vector (DSDV) Routing Protocol -- 14.3 Radio Frequency Identification (RFID) -- 14.4 Problem Identification -- 14.5 Survey of the Literature -- 14.6 PANet Architecture -- 14.6.1 Approach for Semi-Automated System Using DSDV -- 14.6.2 Tables for Parking Available/Occupied -- 14.6.3 Algorithm for Detecting the Empty Slots -- 14.6.4 Pseudo Code -- 14.7 Conclusion -- References -- 15 Survey of Various Technologies Involved in Vehicle-to-Vehicle Communication -- 15.1 Introduction -- 15.2 Survey of the Literature -- 15.3 Brief Description of the Techniques -- 15.3.1 ARM and Zigbee Technology -- 15.3.2 VANET-Based Prototype -- 15.3.2.1 Calculating Distance by Considering Parameters -- 15.3.2.2 Calculating Speed by Considering Parameters -- 15.3.3 Wi-Fi-Based Technology -- 15.3.4 Li-Fi-Based Technique -- 15.3.5 Real-Time Wireless System -- 15.4 Various Technologies Involved in V2V Communication -- 15.5 Results and Analysis -- 15.6 Conclusion -- References -- 16 Smart Wheelchair -- 16.1 Background -- 16.2 System Overview -- 16.3 Health-Monitoring System Using IoT -- 16.4 Driver Circuit of Wheelchair Interfaced with Amazon Alexa -- 16.5 MATLAB Simulations -- 16.5.1 Obstacle Detection -- 16.5.2 Implementing Path Planning Algorithms -- 16.5.3 Differential Drive Robot for Path Following -- 16.6 Conclusion -- 16.7 Future Work -- Acknowledgment -- References -- 17 Defaulter List Using Facial Recognition -- 17.1 Introduction -- 17.2 System Analysis -- 17.2.1 Problem Description -- 17.2.2 Existing System -- 17.2.3 Proposed System -- 17.3 Implementation. 17.3.1 Image Pre-Processing. |
| Record Nr. | UNINA-9910676647503321 |
| John Wiley & Sons, Ltd | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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