Tabla de Contenidos: “…-- Master Data for the Process Industry -- Material Masters -- Bill of Materials -- Resources -- Production Version -- Master Recipes -- Master Recipe Header -- Operations and Phases in a Master Recipe -- Bill of Materials in Master Recipes -- Material Quantity Calculations -- Process Management -- Control Recipes -- Control Recipe Destinations -- Process Instructions -- Manufacturing Execution with Process Order Management -- Create Process Order -- Control Recipe Monitor -- Maintain PI-Sheets -- Send Process Messages -- Summary -- Chapter 11: PP/DS in S/4HANA -- What Is Production Planning and Detailed Scheduling? …”

Tabla de Contenidos: “…The inverse transform sampling method -- The acceptance-rejection method -- Random number generation using Python -- Introducing the random module -- Generating real-value distributions -- Randomness requirements for security -- Password-based authentication systems -- Random password generator -- Cryptographic random number generator -- Introducing cryptography -- Randomness and cryptography -- Encrypted/decrypted message generator -- Summary -- Chapter 3: Probability and Data Generation Processes -- Technical requirements -- Explaining probability concepts -- Types of events -- Calculating probability -- Probability definition with an example -- Understanding Bayes' theorem -- Compound probability -- Bayes' theorem -- Exploring probability distributions -- The probability density function -- Mean and variance -- Uniform distribution -- Binomial distribution -- Normal distribution -- Generating synthetic data -- Real data versus artificial data -- Synthetic data generation methods -- Data generation with Keras -- Data augmentation -- Simulation of power analysis -- The power of a statistical test -- Power analysis -- Summary -- Part 2: Simulation Modeling Algorithms and Techniques -- Chapter 4: Exploring Monte Carlo Simulations -- Technical requirements -- Introducing the Monte Carlo simulation -- Monte Carlo components -- First Monte Carlo application -- Monte Carlo applications -- Applying the Monte Carlo method for Pi estimation -- Understanding the central limit theorem -- Law of large numbers -- The central limit theorem -- Applying the Monte Carlo simulation -- Generating probability distributions -- Numerical optimization -- Project management -- Performing numerical integration using Monte Carlo -- Defining the problem -- Numerical solution -- Min-max detection -- The Monte Carlo method -- Visual representation…”

Tabla de Contenidos: “…Cover -- Title Page 1 -- Copyright Page 2 -- About the Authors 3 -- Contents 5 -- Preface 25 -- 1 STRUCTURE AND BONDING 37 -- 1-1 The Origins of Organic Chemistry 37 -- 1-2 Principles of Atomic Structure 39 -- 1-3 Bond Formation: The Octet Rule 43 -- 1-4 Lewis Structures 44 -- 1-5 Multiple Bonding 45 -- Summary: Common Bonding Patterns (Uncharged) 45 -- 1-6 Electronegativity and Bond Polarity 46 -- 1-7 Formal Charges 47 -- 1-8 Ionic Structures 49 -- 1-9 Resonance 50 -- PROBLEM-SOLVING STRATEGY: Drawing and Evaluating Resonance Forms 54 -- 1-10 Structural Formulas 58 -- 1-11 Molecular Formulas and Empirical Formulas 61 -- 1-12 Wave Properties of Electrons in Orbitals 63 -- 1-13 Molecular Orbitals 64 -- 1-14 Pi Bonding 67 -- 1-15 Hybridization and Molecular Shapes 68 -- 1-16 Drawing Three-Dimensional Molecules 72 -- 1-17 General Rules of Hybridization and Geometry 73 -- Summary: Hybridization and Geometry 73 -- 1-18 Bond Rotation 78 -- 1-19 Isomerism 80 -- Essential Terms 83 -- Study Problems 86 -- 2 ACIDS AND BASES -- FUNCTIONAL GROUPS 91 -- 2-1 Polarity of Bonds and Molecules 92 -- 2-2 Intermolecular Forces 96 -- 2-3 Polarity Effects on Solubilities 100 -- 2-4 Arrhenius Acids and Bases 103 -- 2-5 Brønsted-Lowry Acids and Bases 104 -- 2-6 Strengths of Acids and Bases 105 -- 2-7 Equilibrium Positions of Acid-Base Reactions 109 -- PROBLEM-SOLVING STRATEGY: Predicting Acid-Base Equilibrium Positions 111 -- 2-8 Solvent Effects on Acidity and Basicity 112 -- Summary: Acidity and Basicity Limitations in Common Solvents 114 -- 2-9 Effects of Size and Electronegativity on Acidity 114 -- 2-10 Inductive Effects on Acidity 116 -- 2-11 Hybridization Effects on Acidity 117 -- 2-12 Resonance Effects on Acidity and Basicity 119 -- 2-13 Lewis Acids and Bases 122 -- 2-14 The Curved-Arrow Formalism 124 -- 2-15 Hydrocarbons 126.…”

Tabla de Contenidos: “…8.2.2 Introduction to Arduino, Raspberry Pi, and Their Components -- 8.2.3 Recognizing the Input/Output -- 8.3 Open Service Platforms for IoT Cloud Computing -- 8.4 Resource Management Techniques for Cloud‐Based IoT Environments -- 8.5 Data Management for IoT -- 8.6 ThingSpeak for IoT -- References -- Chapter 9 The Internet of Things for Healthcare -- 9.1 IoT as a Key in the Digital Healthcare System -- 9.2 How IoT Helps in Healthcare Processes -- 9.3 Applications of IoT Technology in Healthcare -- 9.3.1 Remote Patient Monitoring -- 9.3.2 Smart Healthcare Systems -- 9.3.3 Telemedicine -- 9.3.4 Drug Development -- 9.3.5 Medical Robots -- 9.4 Healthcare IoT Challenges, Security Issues, and Risks -- 9.5 Wireless Body Area Network (WBAN) -- 9.6 WBAN Architecture -- 9.7 What Makes Wearables So Sexy? …”

Tabla de Contenidos: “…Experimental comparison of Post-Study usability questionnaires -- Post-task questionnaires -- ASQ (After-Scenario Questionnaire) -- Description of the ASQ -- Psychometric evaluation of the ASQ -- SEQ (Single Ease Question) -- Description of the SEQ -- Psychometric evaluation of the SEQ -- SMEQ (Subjective Mental Effort Question) -- Description of the SMEQ -- Psychometric evaluation of the SMEQ -- ER (Expectation Ratings) -- Description of expectation ratings -- Psychometric evaluation of expectation ratings -- UME (Usability Magnitude Estimation) -- Description of UME -- Psychometric evaluation of UME -- Experimental comparisons of POST-TASK questionnaires -- Questionnaires for assessing perceived usability of websites -- WAMMI (Website Analysis and Measurement Inventory) -- Description of the WAMMI -- Psychometric evaluation of the WAMMI -- SUPR-Q (Standardized User Experience Percentile Rank Questionnaire) -- Description of the SUPR-Q -- Psychometric evaluation of the SUPR-Q -- Other questionnaires for assessing websites -- Other questionnaires of interest -- CSUQ (Computer System Usability Questionnaire) -- USE (Usefulness, Satisfaction, and Ease-of-Use) -- HQ (hedonic quality) -- EMO (emotional metric outcomes) -- ACSI (American customer satisfaction index) -- NPS (Net Promoter Score) -- CxPi (Forrester customer experience index) -- TAM (technology acceptance model) -- Key points -- Chapter review questions -- Answers to chapter review questions -- References -- Chapter 9 - Six enduring controversies in measurement and statistics -- Introduction -- Is it OK to average data from multipoint scales? …”

Tabla de Contenidos: “…-- 16: Couch Penguins - Video and DVD Playback in Ubuntu -- DVDs -- Project 16A: Installing Support for Encrypted DVDs -- Totem Movie Player -- An Alternative to Totem: VLC Media Player -- Editing Digital Video with PiTiVi -- Project 16B: Capturing Digital Video with Kino -- Other Video Apps -- 17: Feathered Flippers - Linux Gaming…”

Tabla de Contenidos: “…16.6 Construction of the SEM -- 16.7 Factors Determining Image Quality -- 16.8 Summary -- 16.9 Exercises -- Appendix A: Process-Based Parallelism using Joblib -- A.1 Introduction to Process-Based Parallelism -- A.2 Introduction to Joblib -- A.3 Parallel Examples -- Appendix B: Parallel Programming using MPI4Py -- B.1 Introduction to MPI -- B.2 Need for MPI in Python Image Processing -- B.3 Introduction to MPI4Py -- B.4 Communicator -- B.5 Communication -- B.5.1 Point-to-Point Communication -- B.5.2 Collective Communication -- B.6 Calculating the Value of PI -- Appendix C: Introduction to ImageJ -- C.1 Introduction -- C.2 ImageJ Primer -- Appendix D: Matlab® and Numpy Functions -- D.1 Introduction -- Bibliography -- Index…”

Tabla de Contenidos: “….: Missi ego tomum meum Pi . huic ille vero litteris ad me datis (p . 438) . 27 . …”

Tabla de Contenidos: “…Nemenzo, Masami Isoda, Maitree Inprasitha, Sampan Thinwiangthong, Narumon Changsri, Nisakorn Boonsena, Chan Roth, Monkolsery Lin, Souksomphone Anothay, Phoutsakhone Channgakham, Nguyen Chi Thanh, VŨ NHƯ Thư Hương, Phương Thảo Nguyễn -- Teaching and learning mathematics in Turkey, Huriye Arikan -- Part 6: Reports from the Topical Study Groups -- Topic study group no. 01 Early childhood mathematics education (up to age 7), Iliada Elia, Joanne Mulligan -- Topic study group no. 02 Mathematics education at tertiary level, Victor Giraldo, Chris Rasmussen -- Topic study group no. 03 Mathematics education in and for work, Diana Coben, Geoff Wake -- Topic study group no. 04 Activities for, and research on, mathematically gifted students, Florence Mihaela Singer, Linda Jensen Sheffield -- Topic study group no. 05 Classroom practice and research for students with mathematical learning difficulties, Lourdes Figueiras, Rose Griffiths -- Topic study group no. 06 Adult learning, Pradeep Kumar Misra, Jürgen Maaß -- Topic study group no. 07 Populariztion of Mathematics, Christian Mercat, Patrick Vennebush -- Topic study group no. 08 Teaching and learning of arithmetic and number systems (focus on primary education), Pi-Jen Lin, Terezinha Nunes -- Topic study group no. 09 Teaching and learning of measurement (focus on primary education), Christine Chambris, Barbara Dougherty -- Topic study group no. 10 Teaching and learning of early algebra, Carolyn Kieran, JeongSuk Pang -- Topic study group no. 11 Teaching and Learning of Algebra, Rakhi Banerjee, Amy Ellis -- Topic study group no. 12 Teaching and learning of geometry (primary level), Sinan Olkun, Ewa Swoboda -- Topic study group no. 13 Teaching and learning of geometry – secondary level, Ui Hock Cheah, Patricio G. …”

Tabla de Contenidos: “…3.3.4 Installation abschließen und neu starten -- 3.4 Dual-Boot - Kali Linux und Windows -- 3.5 Installation auf einem vollständig verschlüsselten Dateisystem -- 3.5.1 Einführung in LVM -- 3.5.2 Einführung in LUKS -- 3.5.3 Konfigurieren verschlüsselter Partitionen -- 3.6 Kali Linux auf Windows Subsystem for Linux -- 3.6.1 Win-KeX‌ -- 3.7 Kali Linux auf einem Raspberry Pi -- 3.8 Systemeinstellungen und Updates -- 3.8.1 Repositories -- 3.8.2 NVIDIA-Treiber für Kali Linux installieren -- 3.8.3 Terminal als Short-Cut (Tastenkombination) -- 3.9 Fehlerbehebung bei der Installation‌ -- 3.9.1 Einsatz der Installer-Shell zur Fehlerbehebung -- 3.10 Zusammenfassung -- Kapitel 4: Erste Schritte mit Kali -- 4.1 Konfiguration von Kali Linux -- 4.1.1 Netzwerkeinstellungen -- 4.1.2 Verwalten von Benutzern und Gruppen -- 4.1.3 Services konfigurieren -- 4.2 Managing Services -- 4.3 Hacking-Labo‌r einrichten -- 4.3.1 Kali Linux - Test Lab Environment -- 4.4 Sichern und Überwachen mit Kali Linux -- 4.4.1 Sicherheitsrichtlinie‌n definieren -- 4.4.2 Mögliche Sicherheitsmaßnahmen -- 4.4.3 Netzwerkservices absichern -- 4.4.4 Firewall- oder Paketfilterung -- 4.5 Weitere Tools installieren -- 4.5.1 Meta-Packages mit kali-tweaks‌ installieren -- 4.5.2 Terminator statt Terminal -- 4.5.3 OpenVAS zur Schwachstellenanalyse -- 4.5.4 SSLstrip2 -- 4.5.5 Dns2proxy‌ -- 4.6 Kali Linux ausschalten -- 4.7 Zusammenfassung -- Teil II: Einführung in Penetration Testing -- Kapitel 5: Einführung in Security Assessments -- 5.1 Kali Linux in einem Assessment -- 5.2 Arten von Assessments -- 5.2.1 Schwachstellenanalyse -- 5.2.2 Compliance-Test -- 5.2.3 Traditioneller Penetrationstest -- 5.2.4 Applikations-Assessment -- 5.3 Normierung der Assessments -- 5.4 Arten von Attacken -- 5.4.1 Denial of Service‌s (D‌oS) -- 5.4.2 Speicherbeschädigungen -- 5.4.3 Schwachstellen von Webseiten…”

Tabla de Contenidos: “….): Maria Cristina Mancini La ricezione del culto imperiale nell’Oriente greco in età giulio-claudia: analogie e diversità: Caterina Parigi La galería de summi viri en Tusculum y el foro de Augusto: Valoración a partir de inscripciones antiguas y recientes: Diana Gorostidi Pi La imagen del poder imperial en la iconografía de la moneda hispano-romana del Valle del Ebro: templos, estatuaria y altares: Claudia García Villalba, Manuel Martín-Bueno Il portico delle Danaidi e il Circo Massimo: Enrico Gallocchio, Patrizio Pensabene Il soffitto in stucco dell’oecus tetrastilus della cosiddetta Casa di Augusto. …”

Tabla de Contenidos: “…Getting Podman -- C.1 Installing Podman -- C.1.1 macOS -- C.1.2 Windows -- C.1.3 Arch Linux and Manjaro Linux -- C.1.4 CentOS -- C.1.5 Debian -- C.1.6 Fedora -- C.1.7 Fedora-CoreOS, Fedora Silverblue -- C.1.8 Gentoo -- C.1.9 OpenEmbedded -- C.1.10 openSUSE -- C.1.11 openSUSE Kubic -- C.1.12 Raspberry Pi OS arm64 -- C.1.13 Red Hat Enterprise Linux -- C.1.14 Ubuntu -- C.2 Building from source code -- C.3 Podman Desktop -- Summary -- Appendix D. …”

Tabla de Contenidos: “…2.8.5.5 Feature binding and re-use of feature combinations at different levels of a hierarchical network -- 2.8.5.6 Feature binding in a hierarchical network with invariant representations of local feature combinations -- 2.8.5.7 Stimulus generalization to new locations -- 2.8.5.8 Discussion of feature binding in hierarchical layered networks -- 2.8.6 Operation in a cluttered environment -- 2.8.6.1 VisNet simulations with stimuli in cluttered backgrounds -- 2.8.6.2 Learning invariant representations of an object with multiple objects in the scene and with cluttered backgrounds -- 2.8.6.3 VisNet simulations with partially occluded stimuli -- 2.8.7 Learning 3D transforms -- 2.8.8 Capacity of the architecture, and incorporation of a trace rule into a recurrent architecture with object attractors -- 2.8.9 Vision in natural scenes - effects of background versus attention -- 2.8.9.1 Neurophysiology of object selection in the inferior temporal visua lcortex -- 2.8.9.2 Attention in natural scenes - a computational account -- 2.8.10 The representation of multiple objects in a scene -- 2.8.11 Learning invariant representations using spatial continuity: Continuous Spatial Transformation learning -- 2.8.12 Lighting invariance -- 2.8.13 Deformation-invariant object recognition -- 2.8.14 Learning invariant representations of scenes and places -- 2.8.15 Finding and recognising objects in natural scenes: complementary computations in the dorsal and ventral visual systems -- 2.8.16 Non-accidental properties, and transform invariant object recognition -- 2.9 Further approaches to invariant object recognition -- 2.9.1 Other types of slow learning -- 2.9.2 HMAX -- 2.9.3 Minimal recognizable configurations -- 2.9.4 Hierarchical convolutional deep neural networks -- 2.9.5 Sigma-Pi synapses…”

Tabla de Contenidos: “…Machine generated contents note: Chapter 1: Introduction to High Performance Drives 1.1 Preliminary Remarks 1.2 General Overview of High Performance Drives 1.3 Challenges and Requirements for Electric Drives for Industrial Applications 1.4 Organization of the Book References Chapter 2: Mathematical and Simulation Models of AC Machines 2.1 Preliminary Remarks 2.2 DC Motors 2.2.1 Separately Excited DC Motor Control 2.2.2 Series DC Motor Control 2.3 Squirrel Cage Induction Motor 2.3.1 Space vector representation 2.3.2 Per unit model of Induction Motor 2.3.3 Double Fed Induction Generator (DFIG) 2.4 Mathematical Model of Permanent Magnet Synchronous Motor Problems References Chapter 3: Pulse Width Modulation of Power Electronic DC-AC Converter 3.1 Preliminary Remarks 3.2 Classification of Pulse Width Modulation Schemes for Voltage source inverter 3.3 Pulse Width Modulated Inverters 3.3.1 Single Phase Half Bridge Inverters 3.3.1.1 Matlab/Simulink Model of Half Bridge Inverter 3.3.2 Single Phase Full Bridge Inverters 3.3.2.1 Matlab/Simulink Model of Single-phase Full-Bridge Inverter 3.4 Three-phase PWM voltage source inverter 3.4.1 Carrier based Sinusoidal PWM 3.4.2 Third Harmonic Injection Carrier-based PWM 3.4.3 Carrier-based PWM With Offset Addition 3.4.4 Space Vector PWM 3.4.5 Discontinuous Space Vector PWM 3.4.6 Matlab/Simulink Model for space vector PWM 3.4.7 Space Vector PWM in Over-modulation Region 3.4.8 Artificial Neural Network Based PWM 3.5 Relationship Between Carrier-based PWM and Space Vector PWM 3.6 Multi-level Inverters 3.6.1 Diode Clamped Multi-level Inverters 3.6.2 Flying Capacitor Type Multi-level Inverter 3.6.3 Cascaded H-Bridge Multi-level Inverter 3.7 Impedance Source or Z-Source Inverter 3.7.1 Circuit Analysis 3.7.2 Carrier-based Simple Boost PWM control of a Z-source Inverter 3.7.3 Carrier-based Maximum Boost PWM control of a Z-source Inverter 3.7.4 Matlab/Simulink model of Z-source inverter 3.8 Quasi Impedance Source or qZSI Inverter 3.8.1 Matlab/Simulink model of qZ-source inverter 3.9 Dead Time Effect in a Multi-phase Inverter 3.10 Summary References Chapter 4: Field Oriented Control of AC Machines 4.1 Introduction 4.2 Induction Machines Control 4.2.1 Control of Induction Motor using V/f method 4.2.2 Vector Control of Induction Motor [4.1-4.16] 4.2.3 Direct and Indirect Field Oriented Control 4.2.4 Rotor and stator flux computation 4.2.5 Adaptive flux observer 4.2.6 Stator Flux Orientation 4.2.7 Field Weakening Control 4.3 Vector Control of Double Fed Induction Generator (DFIG) 4.3.1 Introduction 4.3.2 Vector Control of DFIG connected with the Grid (abModel) 4.3.3 Simulation Results 4.4 Control of Permanent Magnet Synchronous Machine 4.4.1 Introduction 4.4.2 Vector Control of PMSM in dq axis 4.4.3 Vector Control of PMSM in a-baxis using PI controller 4.4.4 Scalar Control of PMSM Exercises Additional tasks Possible tasks for DFIG References Chapter 5: XXXXXXXXXX Chapter 6: Nonlinear Control of Electrical Machines Using Nonlinear Feedback 6.1 Introduction 6.2 dynamic system linearization using non-linear feedback 6.3 Nonlinear Control of Separately Excited DC Motor 6.3.1 Matlab/Simulink Nonlinear Control Model 6.3.2 Nonlinear Control Systems 6.3.3 Speed Controller 6.3.4 Control for variable m 6.3.5 Field Current Controller 6.3.6 Simulation Results 6.4 Multiscalar model (MM) of induction motor 6.4.1 Multiscalar variables 6.4.2 Nonlinear linearization of induction motor fed by voltage controlled VSI 6.4.3 Design of system control 6.4.4 Nonlinear linearization of induction motor fed by current controlled VSI 6.4.5 Stator oriented nonlinear control system (based on Ys,is) 6.4.6 Rotor-Stator Fluxes based Model 6.4.7 Stator Oriented Multiscalar Model 6.4.8 Multiscalar Control of Induction Motor 6.4.9 Induction Motor Model 6.4.10 State Transformation 6.4.11 Decoupled IM Model 6.5 MM of double fed induction machine (DFIM) 6.6 Nonlinear Control of Permanent Magnet Synchronous Machine 6.6.1 Nonlinear Control of PMSM for a dq motor model 6.6.2 Nonlinear Vector Control of PMSM in a-baxis 6.6.3 PMSM in a-b(x-y) axis 6.6.4 Transformation 6.6.5 Control System 6.6.6 Simulation Results Problems References Chapter 7: Five-Phase Induction Motor Drive System 7.1 Preliminary remarks 7.2 Advantages and Applications of Multi-phase drives 7.3 Modelling and Simulation of a Five-phase Induction motor drive 7.3.1 Five-phase Induction motor model 7.3.1.1 Phase variable model 7.3.1.2 Model transformation 7.3.1.3 Machine model in an arbitrary common reference frame 7.3.1.4 Matlab/Simulink model of main fed five-phase induction motor drive 7.3.2 Five-phase Two-level Voltage source Inverter Model 7.3.2.A Ten-Step Mode of Operation 7.3.2.A.1 Fourier analysis of the five-phase inverter output voltages 7.3.2.A.2 Matlab/Simulink Modelling for Ten-step Mode 7.3.2.A.3 Prototype of a five-phase VSI for ten-step operation 7.3.2.A.4 Experimental Results for Ten-Step mode 7.3.2.A.5 PWM mode of operation of five-phase VSI 7.3.3 PWM Schemes of a Five-phase VSI 7.3.3.1 Carrier-based Sinusoidal PWM scheme 7.3.3.2 Matlab/Simulink simulation of Carrier-based sinusoidal PWM 7.3.3.3 5th Harmonic Injection Based pulse width modulation scheme 7.3.3.4 Matlab/Simulink simulation of 5th harmonic injection PWM 7.3.3.5 Offset addition based pulse width modulation scheme 7.3.3.6 Space Vector Pulse Width Modulation Scheme 7.3.3.7 Matlab/Simulink model of SVPWM 7.4 Indirect Rotor Field Oriented Control of Five-phase induction motor 7.4.1 Matlab/Simulink Model of Field oriented control of five-phase Induction machine 7.5 Field Oriented Control of Five-phase induction motor with current control in the Synchronous reference frame 7.6 Model Predictive Control (MPC) 7.6.1 MPC Applied to a Five-phase Two-Level VSI 7.6.2 Matlab/Simulink of MPC for Five-phase VSI 7.7 Summary 7.8 Bibliography Chapter 8: Sensorless Speed Control of AC Machines 8.1 Preliminary Remarks 8.2 Sensorless Control of Induction Motor 8.2.1 Observer 1 8.2.2 Observer 2 8.2.3 Observer 3 8.2.4 MRAS- (closed loop) speed estimator 8.2.5 The use of power measurements 8.3 Sensorless Control of PMSM 8.3.1 Control system of PMSM 8.3.2 Adaptive backstepping observer 8.3.3 Model Reference Adaptive System for PMSM 8.3.4 Simulation Results 8.4 MRAS-Based Sensorless Control of Five-Phase Induction Motor Drive 8.4.1 MRAS-BASED SPEED ESTIMATOR 8.4.2 Simulation Results References Chapter 9: Selected Problems of Induction Motor Drives with Voltage Inverter and Inverter Output Filters 9.1 Drives and filters - overview 9.2 Three phase to two phase transformations 9.3 Voltage and current common mode component 9.3.1 Matlab/Simulink model of induction motor drive with PWM inverter and common mode voltage 9.4 Induction motor common mode circuit 9.5 Bearing current types and reduction methods 9.5.1 Common mode choke 9.5.2 Common mode transformers 9.5.3 Common mode voltage reduction by PWM modifications 9.6 Inverter output filters 9.6.1 Selected structures of inverter output filters 9.6.2 Inverter output filters design 9.6.3 Motor choke 9.6.4 Matlab/Simulink model of induction motor drive with PWM inverter and differential mode (normal mode) LC filter 9.7 Estimation problems in the drive with filters 9.7.1 Introduction 9.7.2 Speed observer with disturbances model 9.7.3 Simple observer based on motor stator models 9.8 Motor control problems in the drive with filters 9.8.1 Introduction 9.8.2 Field oriented control 9.8.3 Nonlinear field oriented control 9.8.4 Nonlinear multiscalar control 9.9 Predictive current control in the drive system with output filter 9.9.1 Control system 9.9.2 Predictive current controller 9.9.3 EMF estimation technique 9.10 Problems 9.11 Questions 9.12 References Index…”

Tabla de Contenidos: “…5.6 Disadvantages of AI in Agriculture -- 5.7 Conclusion -- References -- Chapter 6 The Potential of Artificial Intelligence in the Healthcare System -- 6.1 Introduction -- 6.2 Machine Learning -- 6.3 Neural Networks -- 6.4 Expert Systems -- 6.5 Robots -- 6.6 Fuzzy Logic -- 6.7 Natural Language Processing -- 6.8 Sensor Network Technology in Artificial Intelligence -- 6.9 Sensory Devices in Healthcare -- 6.9.1 Wearable Devices -- 6.9.2 Implantable Devices -- 6.10 Neural Interface for Sensors -- 6.10.1 Intrusion Devices in Artificial Intelligence -- 6.11 Artificial Intelligence in Healthcare -- 6.11.1 Role of Artificial Intelligence in Medicine -- 6.11.2 Role of Artificial Intelligence in Surgery -- 6.11.3 Role of Artificial Intelligence in Rehabilitation -- 6.12 Why Artificial Intelligence in Healthcare -- 6.13 Advancements of Artificial Intelligence in Healthcare -- 6.14 Future Challenges -- 6.15 Discussion -- 6.16 Conclusion -- References -- Chapter 7 Improvement of Computer Vision-Based Elephant Intrusion Detection System (EIDS) with Deep Learning Models -- 7.1 Introduction -- 7.2 Elephant Intrusion Detection System (EIDS) -- 7.2.1 Existing Approaches -- 7.2.2 Challenges -- 7.3 Theoretical Framework -- 7.3.1 Deep Learning Models for EIDS -- 7.3.1.1 Fast RCNN -- 7.3.1.2 Faster RCNN -- 7.3.1.3 Single-Shot Multibox Detector (SSD) -- 7.3.1.4 You Only Look Once (YOLO) -- 7.3.2 Hardware Specifications -- 7.3.2.1 Raspberry-Pi 3 Model B -- 7.3.2.2 Night Vision OV5647 Camera Module -- 7.3.2.3 PIR Sensor -- 7.3.2.4 GSM Module -- 7.3.3 Proposed Work -- 7.4 Experimental Results -- 7.4.1 Dataset Preparation -- 7.4.2 Performance Analysis of DL Algorithms -- 7.5 Conclusion -- References -- Chapter 8 A Study of WSN Privacy Through AI Technique -- 8.1 Introduction -- 8.2 Review of Literature -- 8.3 ML in WSNs -- 8.3.1 Supervised Learning…”