LEADER 11015nam 2200553 450 001 9910561301303321 005 20220912211504.0 010 $a1-5231-4317-7 010 $a1-119-71122-3 010 $a1-119-71121-5 035 $a(CKB)4100000011809558 035 $a(MiAaPQ)EBC6530334 035 $a(Au-PeEL)EBL6530334 035 $a(OCoLC)1244628080 035 $a(EXLCZ)994100000011809558 100 $a20211016d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAI and IoT-based intelligent automation in robotics /$feditors, Ashutosh Kumar Dubey [et al.] 210 1$aHoboken, New Jersey ;$aBeverly, Massachusetts :$cScrivener Publishing :$cWiley,$d[2021] 210 4$dİ2021 215 $a1 online resource (432 pages) $cillustrations (chiefly color) 311 1 $a1-119-71120-7 320 $aIncludes bibliographical references and index. 327 $aCover -- 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. 327 $a4.2.1 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. 327 $a7.3 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. 327 $a10.2.5 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. 327 $a13.4 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. 327 $a17.3.1 Image Pre-Processing. 606 $aArtificial intelligence$xIndustrial applications 606 $aAutonomous robots 606 $aInternet of things 608 $aElectronic books. 615 0$aArtificial intelligence$xIndustrial applications. 615 0$aAutonomous robots. 615 0$aInternet of things. 676 $a629.892 702 $aDubey$b Ashutosh Kumar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910561301303321 996 $aAI and IoT-based intelligent automation in robotics$92834189 997 $aUNINA LEADER 04024nam 22006975 450 001 9910139816203321 005 20200703043231.0 010 $a3-540-44620-6 024 7 $a10.1007/3-540-44620-6 035 $a(CKB)1000000000777956 035 $a(SSID)ssj0000320824 035 $a(PQKBManifestationID)11937806 035 $a(PQKBTitleCode)TC0000320824 035 $a(PQKBWorkID)10259115 035 $a(PQKB)11597694 035 $a(DE-He213)978-3-540-44620-0 035 $a(MiAaPQ)EBC3071567 035 $a(PPN)155196588 035 $a(EXLCZ)991000000000777956 100 $a20121227d2001 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 13$aAn Advanced Course in Modern Nuclear Physics /$fedited by J.M. Arias, M. Lozano 205 $a1st ed. 2001. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001. 215 $a1 online resource (XII, 350 p.) 225 1 $aLecture Notes in Physics,$x0075-8450 ;$v581 300 $a"Physics and Astronomy." 311 $a3-642-07624-6 311 $a3-540-42409-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aThe theory of the nucleon-nucleon interaction -- The atomic nucleus observed with electromagnetic probes -- The nuclear shell model -- The nuclear collective motion -- The interacting boson model -- The limits of the mean field -- The microscopic treatment of the nuclear system -- Semi-classical methods in nuclear physics -- Scattering and reactions of halo nuclei -- Nuclear physics away from the valley of stability -- Structure of vacuum and elementary matter: from superheavies via hypermatter to antimatter. 330 $aThe field of nuclear physics is entering the 21st century while experiencing a strong revival. On the one hand it is changing qualitatively through new experimental developments that allow us to direct radioactive and other exotic probes to target nuclei, and spark off extremely energetic nuclear collisions. Also, the impressive sophistication of new detector systems leads us to expect a number of new discoveries in the near future. On the other hand many new applications have appeared in fields as diverse as medicine, industry, art, archaeology and the environmental sciences. This book is a set of extended lectures on basic and new topics, that gives a tutorial introduction to the field of modern nuclear physics. It is ideally suited to bridging the gap between the standard textbook material and the research literature, and provides the necessary foundation for acting as those who intend to work in any of the many disciplines where nuclear science and technology is going to play an important role in the future. 410 0$aLecture Notes in Physics,$x0075-8450 ;$v581 606 $aNuclear physics 606 $aHeavy ions 606 $aNuclear fusion 606 $aParticle acceleration 606 $aNuclear Physics, Heavy Ions, Hadrons$3https://scigraph.springernature.com/ontologies/product-market-codes/P23010 606 $aNuclear Fusion$3https://scigraph.springernature.com/ontologies/product-market-codes/P23045 606 $aParticle Acceleration and Detection, Beam Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P23037 615 0$aNuclear physics. 615 0$aHeavy ions. 615 0$aNuclear fusion. 615 0$aParticle acceleration. 615 14$aNuclear Physics, Heavy Ions, Hadrons. 615 24$aNuclear Fusion. 615 24$aParticle Acceleration and Detection, Beam Physics. 676 $a539.7 702 $aArias$b J.M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLozano$b M$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139816203321 996 $aAdvanced Course in Modern Nuclear Physics$9377884 997 $aUNINA