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1. |
Record Nr. |
UNINA9910520005003321 |
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Autore |
Forshaw Barry |
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Titolo |
The silence of the lambs / / Barry Forshaw [[electronic resource]] |
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Pubbl/distr/stampa |
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Oxford : , : Oxford University Press, , 2021 |
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ISBN |
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1-80034-207-1 |
1-80034-690-5 |
1-906733-98-8 |
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Descrizione fisica |
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1 online resource (159 p.) |
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Collana |
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Devil's advocates |
Liverpool scholarship online |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Previously issued in print: Leighton Buzzard: Auteur, 2013. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Cover ; Series Page; Series List; Title Page; Acknowledgments; Copyright; Contents ; Introduction; Hannibal's Precursors; The Ascent of Hannibal Lecter; Jonathan Demme's The Silence of the Lambs; Making Horror Respectable; After the Silence; Lecter's Progeny; Legacy of the Lambs; Appendix; Bibliography / Filmography |
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Sommario/riassunto |
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The 1991 film 'The Silence of the Lambs', based on Thomas Harris's bestseller, was a game-changer in the fields of both horror and crime cinema. FBI trainee Clarice Starling was a new kind of heroine, vulnerable, intuitive, and in a deeply unhealthy relationship with her monstrous helper/opponent, the serial killer Hannibal Lecter. Jonathan Demme's film skillfully appropriated the tropes of police procedural, gothic melodrama and contemporary horror to produce something entirely new. The resulting film was both critically acclaimed and massively popular, and went on to have an enormous influence on 1990s genre cinema. This book closely examines the factors that contributed to the film's impact, including the revelatory performances of Jodie Foster and Anthony Hopkins in the lead roles. |
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2. |
Record Nr. |
UNINA9910830579803321 |
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Autore |
Zhu Zi Qiang |
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Titolo |
Sensorless Control of Permanent Magnet Synchronous Machine Drives |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2023 |
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©2024 |
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ISBN |
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1-394-19438-2 |
1-394-19437-4 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (498 pages) |
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Collana |
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IEEE Press Series on Control Systems Theory and Applications Series |
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Altri autori (Persone) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Title Page -- Copyright Page -- Contents -- About the Authors -- Preface -- List of Abbreviations -- List of Symbols -- Chapter 1 General Introduction -- 1.1 Introduction -- 1.2 Permanent Magnet Machines -- 1.2.1 Topologies -- 1.2.2 Drives -- 1.3 Basic Principle of PM BLAC (PMSM) Drives -- 1.3.1 Modeling -- 1.3.1.1 ABC Reference Frame -- 1.3.1.2 Stationary Reference Frame -- 1.3.1.3 Synchronous Reference Frame -- 1.3.2 Control Strategies -- 1.3.2.1 Space Vector PWM -- 1.3.2.2 Field-Oriented Control -- 1.3.2.3 Direct Torque Control -- 1.3.2.4 Model Predictive Control -- 1.4 Basic Principle of PM BLDC Drives -- 1.4.1 Modeling -- 1.4.2 Control Strategies -- 1.5 Comparison Between PM BLDC (PMSM) and BLAC Drives -- 1.5.1 Square-Wave Back-EMF Machine -- 1.5.2 Sine-Wave Back-EMF Machine -- 1.6 Sensorless Control Techniques and Applications -- 1.6.1 Classification -- 1.6.2 Applications -- 1.7 Scope of This Book -- References -- Chapter 2 Fundamental Model-Based Sensorless Control -- 2.1 Introduction -- 2.2 Flux-Linkage-Based Method -- 2.2.1 Flux-Linkage Method for Non-salient PMSMs -- 2.2.2 Active Flux-Linkage Method for Salient PMSMs -- 2.3 Back-EMF-Based Method -- 2.3.1 Back-EMF Method for Non-salient PMSMs -- 2.3.2 Extended Back-EMF Method for Salient PMSMs -- 2.3.2.1 In Synchronous Reference Frame -- 2.3.2.2 In Stationary Reference Frame -- 2.3.3 Comparison -- 2.3.3.1 Comparison Between Back-EMF and |
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Flux-Linkage Methods -- 2.3.3.2 Comparison of Active Flux and Extended Back-EMF -- 2.4 Position Observer -- 2.4.1 Arctangent Method -- 2.4.2 Phase-Locked Loop -- 2.4.3 Simplified Extended Kalman Filter -- 2.4.4 Simulation Results -- 2.5 Summary -- References -- Chapter 3 Fundamental Model-Based Sensorless Control-Issues and Solutions -- 3.1 Introduction -- 3.2 Integration and Filter. |
3.2.1 Initial Value -- 3.2.2 Drift -- 3.2.3 Delay -- 3.3 Back-EMF and Current Harmonics -- 3.3.1 Influence of Back-EMF Harmonics -- 3.3.2 Influence of Current Harmonics -- 3.4 Cross-Coupling Magnetic Saturation -- 3.4.1 Impact on Position Estimation -- 3.4.2 Sensorless Control Accounting for Cross-Coupling Inductance -- 3.5 Parameter Mismatch -- 3.5.1 Impact on Position Estimation -- 3.5.2 Position Correction Method Under Parameter Mismatches -- 3.5.2.1 q-Axis Injection for q-Axis Inductance Mismatch -- 3.5.2.2 d-Axis Injection for Resistance Mismatch -- 3.5.2.3 Amplitude Calculation Technique -- 3.5.2.4 Position Error Correction with LMS Algorithm -- 3.5.2.5 Experimental Results -- 3.6 Parameter Asymmetry -- 3.6.1 Asymmetric Modeling -- 3.6.1.1 Resistance Asymmetry -- 3.6.1.2 Inductance Asymmetry -- 3.6.1.3 Back-EMF Asymmetry -- 3.6.2 Impacts on Position Estimation -- 3.6.3 Harmonic Suppression -- 3.7 Summary -- References -- Chapter 4 Saliency Tracking-Based Sensorless Control Methods -- 4.1 Introduction -- 4.2 High-Frequency Model of PM Machines -- 4.2.1 Model in Synchronous Reference Frame -- 4.2.2 Model in Estimated Synchronous Reference Frame -- 4.2.3 Model in Stationary Reference Frame -- 4.3 High-Frequency Signal Injection in Estimated Synchronous Reference Frame -- 4.3.1 Pulsating Sinusoidal Signal -- 4.3.2 Pulsating Square-Wave Signal -- 4.4 High-Frequency Signal Injection in Stationary Reference Frame -- 4.4.1 Rotating Sinusoidal Signal -- 4.4.2 Pulsating Sinusoidal Signal -- 4.4.2.1 Mathematical Model -- 4.4.2.2 Ip Pre-detection and Compensation -- 4.4.2.3 Experiment Results -- 4.4.3 Pulsating Square-Wave Signal -- 4.4.3.1 Mathematical Model -- 4.4.3.2 IpSQ Pre-detection and Compensation -- 4.4.3.3 Experiment Results -- 4.5 Position Observer -- 4.5.1 Basic Structure -- 4.5.2 Influence of LPF. |
4.5.3 Convergence Analysis -- 4.6 Other Saliency Tracking-Based Methods -- 4.6.1 Transient Voltage Vector-Based Method -- 4.6.2 PWM Excitation-Based Method -- 4.7 Summary -- References -- Chapter 5 Saliency Tracking-Based Sensorless Control Methods-Issues and Solutions -- 5.1 Introduction -- 5.2 Cross-Coupling Magnetic Saturation -- 5.2.1 Impact on Position Estimation -- 5.2.2 Compensation Scheme -- 5.2.2.1 Direct Compensation -- 5.2.2.2 Indirect Compensation -- 5.3 Machine Saliency and Load Effect -- 5.3.1 Machine Saliency Investigation -- 5.3.2 Machine Saliency Circle -- 5.4 Multiple Saliency Effect -- 5.5 Asymmetric Parameters -- 5.5.1 High-Frequency Models with Machine Inductance Asymmetry -- 5.5.2 Suppression of Position Errors Due to Inductance Asymmetry -- 5.5.3 Experimental Results -- 5.5.3.1 Position Estimation Under Inductance Asymmetry -- 5.5.3.2 The Second Harmonic Oscillating Error Suppression -- 5.6 Inverter Nonlinearity Effects -- 5.6.1 Mechanism -- 5.6.1.1 Deadtime -- 5.6.1.2 Parasitic Capacitance Effects -- 5.6.2 HF Voltage Distortion -- 5.6.3 HF Current Distortion -- 5.6.3.1 Rotating Signal Injection-Based Method -- 5.6.3.2 Pulsating Signal Injection-Based Method -- 5.6.3.3 Experiment Results -- 5.6.4 Compensation Scheme -- 5.6.4.1 Pre-compensation -- 5.6.4.2 Post-compensation -- 5.6.4.3 Comparison -- 5.7 Signal Processing Delay -- 5.8 Selection of Amplitude and Frequency for Injection Voltage |
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Signal -- 5.8.1 Quantization Error in AD Conversion -- 5.8.2 Sensorless Safe Operation Area -- 5.8.3 Experimental Results of Determining Amplitude and Frequency -- 5.8.4 Sensorless Operation Performance -- 5.8.5 Pseudo-random Selection of Injection Signal -- 5.9 Transition Between Low Speed and High Speed -- 5.10 Summary -- References. |
Chapter 6 Saliency Tracking-Based Sensorless Control Method Using Zero Sequence Voltage -- 6.1 Introduction -- 6.2 Rotating Sinusoidal Signal Injection -- 6.2.1 Zero Sequence Voltage Model -- 6.2.2 Signal Demodulation -- 6.3 Conventional Pulsating Sinusoidal Signal Injection -- 6.4 Anti-rotating Pulsating Sinusoidal Signal Injection -- 6.4.1 Anti-rotating Signal Injection -- 6.4.2 Signal Demodulation -- 6.4.3 Cross-Saturation Effect -- 6.4.4 Experimental Results -- 6.4.4.1 Zero Sequence Voltage Model Verification -- 6.4.4.2 Steady- and Dynamic-State Position Estimation Performances -- 6.4.4.3 Robustness and Accuracy Comparison -- 6.5 Conventional Pulsating Square-Wave Signal Injection -- 6.6 Anti-rotating Pulsating Square-Wave Signal Injection -- 6.6.1 Anti-rotating Signal Injection -- 6.6.2 Signal Demodulation -- 6.6.3 Cross-Saturation Effect -- 6.6.4 Experimental Results -- 6.6.4.1 Zero Sequence Voltage Model Verification -- 6.6.4.2 Steady- and Dynamic-State Position Estimation Performance -- 6.6.4.3 Comparison to Square-Wave Injection Method with HF Current Sensing -- 6.7 Summary -- References -- Chapter 7 Sensorless Control of Dual Three-Phase PMSMs and Open-.Winding PMSMs -- 7.1 Introduction -- 7.2 Dual Three-Phase PMSMs -- 7.2.1 Modeling of DTP-PMSM Drive -- 7.2.1.1 Double dq Model -- 7.2.1.2 Vector Space Decomposition -- 7.2.2 HFSI Sensorless Control with Current Response -- 7.2.3 HFSI Sensorless Control with Voltage Response -- 7.2.3.1 Zero Sequence Voltage Measurement -- 7.2.3.2 Modeling of Dual Three-Phase PMSM -- 7.2.3.3 Pulsating Sinusoidal Signal Injection -- 7.2.3.4 Rotating Signal Injection Method -- 7.2.3.5 Experimental Results and Analysis for DTP-PMSM -- 7.2.4 Fundamental Model-Based Sensorless Control -- 7.2.4.1 Extended Back-EMF Model on DTP-PMSM -- 7.2.4.2 Parameter Mismatch Effect. |
7.2.4.3 Parameter Mismatch Correction -- 7.2.4.4 Experimental Results -- 7.2.5 Third Harmonic Back-EMF-Based Sensorless Control -- 7.3 Open Winding PMSMs -- 7.3.1 Modeling of OW-PMSM Drive -- 7.3.2 Phase Shift-Based SVPWM for OW-PMSM -- 7.3.3 Zero Sequence Current-Based Sensorless Control -- 7.3.4 Nonparametric Zero Sequence Voltage-Based Sensorless Control -- 7.4 Summary -- References -- Chapter 8 Magnetic Polarity Identification -- 8.1 Introduction -- 8.2 Dual Voltage Pulses Injection-Based Method -- 8.3 d-Axis Current Injection-Based Method -- 8.3.1 HF Current Response -- 8.3.2 HF Zero Sequence Voltage Response -- 8.4 Secondary Harmonic-Based Method -- 8.4.1 Modeling of Secondary Harmonics -- 8.4.2 HF Current Response -- 8.4.3 HF Zero Sequence Voltage Response -- 8.4.4 Experiment Results -- 8.5 Summary -- References -- Chapter 9 Rotor Initial Position Estimation -- 9.1 Introduction -- 9.2 Magnetic Saturation Effect -- 9.3 Basic Pulse Injection Method Using Three Phase Currents -- 9.3.1 Pulse Excitation Configuration -- 9.3.2 Current Response Model -- 9.3.3 Initial Position Estimation -- 9.4 Improved Pulse Injection Method Using Three Phase Currents -- 9.4.1 Utilization of Three Phase Current Responses -- 9.4.2 Pulse Injection Sequence -- 9.4.3 Boundary Detection Strategy -- 9.4.4 Experiment Results -- 9.4.4.1 Estimation Example -- 9.4.4.2 Overall Rotor Initial Position Estimation Performance -- 9.4.4.3 Boundary Detection Performance -- 9.5 Pulse Injection Method Using DC-Link Voltage -- 9.5.1 Utilization of DC-Link Voltage Variation -- 9.5.2 |
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Pulse Injection Process -- 9.5.3 Experiment Results -- 9.5.3.1 Estimation Example -- 9.5.3.2 Overall Estimation Performance -- 9.5.3.3 Comparison with Estimation Using Current Responses -- 9.6 Voltage Pulse Selection -- 9.6.1 Selection of Duration. |
9.6.2 Selection of Magnitude. |
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3. |
Record Nr. |
UNINA9910918598403321 |
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Autore |
Chakraborty Sanjay |
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Titolo |
Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance : Theory and Practices / / by Sanjay Chakraborty, Lopamudra Dey |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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9789819796229 |
9789819796212 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (177 pages) |
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Collana |
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Springer Tracts in Nature-Inspired Computing, , 2524-5538 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Machine learning |
Computational Intelligence |
Artificial Intelligence |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1. Introduction to Classification -- 2. Class Imbalance and Data Irregularities in Classification -- 3. Multi-class Classification -- 4. Multi-Objective and Multi-Label Classification -- 5. Deep Learning Inspired Multiclass and Multilabel Classification -- 6. Applications of Multi-objective, Multi-label and Multi-class Classifications. |
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Sommario/riassunto |
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This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks. This resource fosters a |
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deeper grasp of multi-dimensional data analysis in today's data-driven world by providing readers with the skills and insights needed to navigate the subtleties of modern classification jobs, from algorithmic techniques to practical applications. |
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