Tabla de Contenidos: “…Recht der Schuldverhältnisse §§ 249-254 (Shadensersatzrecht) / Redaktor Michael Martinek -- 2. …”

Tabla de Contenidos: “…En esta investigación consideramos que la violencia ha dejado de tener la misma connotación, tanto individual como colectiva en sentido negativo, para convertirse en una expresión adictiva, ligada a la adrenalina social y al concepto de «diversión». -- Los medios de comunicación en redes sociales, el apogeo de Internet y la llamada Deep Web105, han generado nuevas formas de representar la violencia y de comunicarla en planos descontextualizados, virales y de rápido consumo, que reducen la capacidad de decodificación del mensaje hasta solo producir un efecto de. . . -- CAPÍTULO V Aproximaciones a un modelo preventivo del terrorismo transnacional en México(pp. 197-240) -- CAPÍTULO V Aproximaciones a un modelo preventivo del terrorismo transnacional en México(pp. 197-240) -- https://doi.org/10.2307/j.ctv2zp4sgz.8 -- https://www.jstor.org/stable/j.ctv2zp4sgz.8 -- La función de este apartado final es presentar un modelo que sirva de propuesta para una política criminal preventiva del terrorismo transnacional en México, tras encontrar que las características particulares de este fenómeno en territorio mexicano están marcadas por patrones cuya tendencia lleva a la fusión entre grupos del crimen organizado como Los Zetas y células terroristas del yihadismo. -- La prevención del terrorismo transnacional en México, así como de otros fenómenos criminales que tienen un carácter transfronterizo, requiere de la estructura de un Estado Democrático de Derecho con nuevas formas que no centralicen los círculos del control social, pues al. . . -- Bibliografía(pp. 241-248) -- Bibliografía(pp. 241-248) -- https://doi.org/10.2307/j.ctv2zp4sgz.9 -- https://www.jstor.org/stable/j.ctv2zp4sgz.9 -- Back Matter(pp. 249-250) -- Back Matter(pp. 249-250) -- https://doi.org/10.2307/j.ctv2zp4sgz.10 -- https://www.jstor.org/stable/j.ctv2zp4sgz.10…”
Acceso con credenciales UPSA

Tabla de Contenidos: “…1 1.2 End-to-End 3D Visual Ecosystem 3 1.2.1 3D Modeling and Representation 5 1.2.2 3D Content Creation 6 1.2.3 3D Video Compression 7 1.2.4 3D Content Delivery 8 1.2.5 3D Display 9 1.2.6 3D QoE 9 1.3 3D Visual Communications 10 1.4 Challenges and Opportunities 11 References 15 2 3D Graphics and Rendering 17 2.1 3DTV Content Processing Procedure 19 2.2 3D Scene Representation with Explicit Geometry - Geometry Based Representation 22 2.2.1 Surface Based Representation 23 2.2.2 Point Based Representation 37 2.2.3 Point Based Construction 38 2.2.4 Point Based Compression and Encoding for Transmission 38 2.2.5 Point Based Rendering: Splatting 39 2.2.6 Volumetric Representation 40 2.2.7 Volumetric Construction 40 2.2.8 Volumetric Compression and Encoding for Transmission 41 2.2.9 Volumetric Rendering 42 2.3 3D Scene Representation without Geometry - Image-Based Representation 43 2.3.1 Plenoptic Function 43 2.3.2 Single Texture Representation 46 2.3.3 Multiple Texture Representation 48 2.3.4 Image Based Animation 51 2.4 3D Scene Representation with Implicit Geometry - Depth-Image-Based Representation 51 2.4.1 History of Depth-Image-Based Representation 52 2.4.2 Fundamental Concept Depth-Image-Based Representation 53 2.4.3 Depth Construction 56 2.4.4 Depth-Image-Based Animation 57 References 57 3 3D Display Systems 63 3.1 Depth Cues and Applications to 3D Display 63 3.1.1 Monocular Depth Cues 63 3.1.2 Binocular Depth Cues 64 3.2 Stereoscopic Display 65 3.2.1 Wavelength Division (Color) Multiplexing 65 3.2.2 Polarization Multiplexing 69 3.2.3 Time Multiplexing 69 3.3 Autostereoscopic Display 71 3.3.1 Occlusion-Based Approach 71 3.3.2 Refraction-Based Approach 75 3.4 Multi-View System 78 3.4.1 Head Tracking Enabled Multi-View Display 79 3.4.2 Automultiscopic 79 3.5 Recent Advances in Hologram System Study 83 References 84 4 3D Content Creation 85 4.1 3D Scene Modeling and Creation 85 4.1.1 Geometry-Based Modeling 86 4.1.2 Image-Based Modeling 86 4.1.3 Hybrid Approaches 87 4.2 3D Content Capturing 87 4.2.1 Stereo Camera 87 4.2.2 Depth Camera 88 4.2.3 Multi-View Camera 88 4.2.4 3D Capturing with Monoscopic Camera 89 4.3 2D-to-3D Video Conversion 101 4.3.1 Automatic 2D-to-3D Conversion 103 4.3.2 Interactive 2D-to-3D Conversion 111 4.3.3 Showcase of 3D Conversion System Design 112 4.4 3D Multi-View Generation 125 References 126 5 3D Video Coding and Standards 129 5.1 Fundamentals of Video Coding 129 5.2 Two-View Stereo Video Coding 142 5.2.1 Individual View Coding 142 5.2.2 Inter-View Prediction Stereo Video Coding 143 5.3 Frame-Compatible Stereo Coding 144 5.3.1 Half-Resolution Frame-Compatible Stereo Coding 144 5.3.2 Full-Resolution Frame-Compatible Layer Approach 146 5.4 Video Plus Depth Coding 148 5.5 Multiple View Coding 156 5.6 Multi-View Video Plus Depth (MVD) Video 160 5.7 Layered Depth Video (LDV) 163 5.8 MPEG-4 BIFS and AFX 165 5.9 Free-View Point Video 166 References 167 6 Communication Networks 171 6.1 IP Networks 171 6.1.1 Packet Networks 171 6.1.2 Layered Network Protocols Architecture 172 6.2 Wireless Communications 174 6.2.1 Modulation 175 6.2.2 The Wireless Channel 177 6.2.3 Adaptive Modulation and Coding 191 6.3 Wireless Networking 193 6.4 4G Standards and Systems 193 6.4.1 Evolved Universal Terrestrial Radio Access Network (E-UTRAN) 195 6.4.2 Evolved Packet Core (EPC) 200 6.4.3 Long Term Evolution-Advance (LTE-A) 201 6.4.4 IEEE 802.16 - WiMAX 202 References 203 7 Quality of Experience 205 7.1 3D Artifacts 205 7.1.1 Fundamentals of 3D Human Visual System 205 7.1.2 Coordinate Transform for Camera and Display System 206 7.1.3 Keystone Distortion 211 7.1.4 Depth-Plane Curvature 212 7.1.5 Shear Distortion 212 7.1.6 Puppet-Theater Effect 213 7.1.7 Cardboard Effect 215 7.1.8 Asymmetries in Stereo Camera Rig 216 7.1.9 Crosstalk 217 7.1.10 Picket-Fence Effect and Lattice Artifacts 217 7.1.11 Hybrid DCT Lossy Compression Artifact 218 7.1.12 Depth Map Bleeding and Depth Ringing 219 7.1.13 Artifacts Introduced by Unreliable Communication Networks 219 7.1.14 Artifacts from New View Synthesis 219 7.1.15 Summary of 3D Artifacts 220 7.2 QoE Measurement 220 7.2.1 Subjective Evaluations 222 7.2.2 2D Image and Video QoE Measurement 226 7.2.3 3D Video HVS Based QoE Measurement 235 7.2.4 Postscript on Quality of Assessment 246 7.3 QoE Oriented System Design 247 7.3.1 Focus Cues and Perceptual Distortions 247 7.3.2 Visual Fatigue 249 References 250 8 3D Video over Networks 259 8.1 Transmission-Induced Error 259 8.2 Error Resilience 267 8.3 Error Concealment 270 8.4 Unequal Error Protection 275 8.5 Multiple Description Coding 279 8.6 Cross-Layer Design 282 References 286 9 3D Applications 289 9.1 Glass-Less Two-View Systems 289 9.1.1 Spatially Multiplexed Systems 290 9.1.2 Temporally Multiplexed Systems 290 9.2 3D Capture and Display Systems 291 9.3 Two-View Gaming Systems 294 9.4 3D Mobile 298 9.4.1 HTC EVO 3D 298 9.4.2 Mobile 3D Perception 299 9.5 Augmented Reality 302 9.5.1 Medical Visualization 304 9.5.2 Mobile Phone Applications 306 References 309 10 Advanced 3D Video Streaming Applications 313 10.1 Rate Control in Adaptive Streaming 313 10.1.1 Fundamentals of Rate Control 313 10.1.2 Two-View Stereo Video Streaming 318 10.1.3 MVC Streaming 318 10.1.4 MVD Streaming 319 10.2 Multi-View Video View Switching 321 10.3 Peer-to-Peer 3D Video Streaming 325 10.4 3D Video Broadcasting 328 10.5 3D Video over 4G Networks 329 References 331 Index 335…”

Tabla de Contenidos: “…Simpson -- 5.1 Introduction -- 5.2 Theory of near-infrared spectroscopy -- 5.3 Analyser technologies in the near-infrared -- 5.4 The sampling interface -- 5.5 Practical examples of near-infrared analytical applications -- 5.6 Conclusion -- References --…”

Tabla de Contenidos: “…« -- 2.1 Datei erstellen -- 2.1.1 Eclipse -- 2.1.2 IntelliJ IDEA -- 2.2 Quelltext -- 2.2.1 Hallo Welt -- 2.2.2 Syntax -- 2.2.3 Kommentare -- 2.3 Kompilieren -- 2.3.1 Ohne IDE -- 2.3.2 Eclipse -- 2.3.3 IntelliJ IDEA -- 2.4 Fehler finden -- 2.5 Ausführen -- 2.5.1 Ohne IDE -- 2.5.2 Eclipse -- 2.5.3 IntelliJ IDEA -- 2.6 Übungen -- 3 Variablen -- 3.1 Funktionsweise von Variablen -- 3.2 Typen -- 3.2.1 Zahlen -- 3.2.2 Texte -- 3.2.3 Wahrheitswerte -- 3.3 Operatoren -- 3.3.1 Arithmetische Operatoren -- 3.3.2 String-Konkatenation -- 3.3.3 Boolesche Operatoren -- 3.4 Typumwandlung -- 3.5 Nutzereingaben verarbeiten -- 3.6 Übungen -- 4 Verzweigungen und Schleifen -- 4.1 Verzweigungen -- 4.1.1 if-Verzweigung -- 4.1.2 if-else und else if -- 4.1.3 Vergleichsoperatoren -- 4.1.4 case-Verzweigung -- 4.2 Schleifen -- 4.2.1 while-Schleife -- 4.2.2 do-while-Schleife -- 4.2.3 for-Schleife -- 4.2.4 Verschachtelung von Schleifen -- 4.3 Übungen -- 5 Funktionen -- 5.1 Grundlagen -- 5.2 Parameter -- 5.3 Rückgabewerte -- 5.4 Rekursion -- 5.5 Übungen -- 6 Objektorientierung -- 6.1 Die ganze Welt ist ein Objekt -- 6.1.1 Definition von Klassen -- 6.1.2 Instanzen und Objekte erzeugen -- 6.1.3 Attribute und Funktionen -- 6.2 Statische und nicht-statische Funktionen und Variablen -- 6.3 Verwendung mehrerer Klassen -- 6.4 Zugriffsrechte -- 6.5 Vererbung…”

Tabla de Contenidos: “…Orientational motion-heat bath coupling -- 3.5. Infrared spectra -- 3.5.1. Infrared absorption coefficient -- 3.5.2. …”

Tabla de Contenidos: “…Broadband deployment -- 5.5.2. Digital divides -- 5.5.3. Policies and regulation -- Access to passive infrastructure -- Spectrum management -- Universal service obligation -- Public initiatives to extend networks in unserved areas -- Price regulation -- Digital skills programme -- Consumer rights regulation -- 5.6. …”

Tabla de Contenidos: “…IBM Tivoli Workload Scheduler end-to-end environment -- 5.1 Overview -- 5.2 Architecture -- 5.3 Prerequisites -- 5.4 Data collected -- 5.5 Implementation -- Chapter 6. …”

Tabla de Contenidos: “…WBS Templates -- 2.4.4. Mind Maps -- 2.4.5. WBS Dictionary -- 2.5. Styles -- 2.5.1. Hierarchical -- 2.5.2. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Table -- Preface -- Acknowledgments -- Acronyms -- Chapter 1 Introduction -- 1.1 State of a Dynamic System -- 1.2 State Estimation -- 1.3 Construals of Computing -- 1.4 Statistical Modeling -- 1.5 Vision for the Book -- Chapter 2 Observability -- 2.1 Introduction -- 2.2 State‐Space Model -- 2.3 The Concept of Observability -- 2.4 Observability of Linear Time‐Invariant Systems -- 2.4.1 Continuous‐Time LTI Systems -- 2.4.2 Discrete‐Time LTI Systems -- 2.4.3 Discretization of LTI Systems -- 2.5 Observability of Linear Time‐Varying Systems -- 2.5.1 Continuous‐Time LTV Systems -- 2.5.2 Discrete‐Time LTV Systems -- 2.5.3 Discretization of LTV Systems -- 2.6 Observability of Nonlinear Systems -- 2.6.1 Continuous‐Time Nonlinear Systems -- 2.6.2 Discrete‐Time Nonlinear Systems -- 2.6.3 Discretization of Nonlinear Systems -- 2.7 Observability of Stochastic Systems -- 2.8 Degree of Observability -- 2.9 Invertibility -- 2.10 Concluding Remarks -- Chapter 3 Observers -- 3.1 Introduction -- 3.2 Luenberger Observer -- 3.3 Extended Luenberger‐Type Observer -- 3.4 Sliding‐Mode Observer -- 3.5 Unknown‐Input Observer -- 3.6 Concluding Remarks -- Chapter 4 Bayesian Paradigm and Optimal Nonlinear Filtering -- 4.1 Introduction -- 4.2 Bayes' Rule -- 4.3 Optimal Nonlinear Filtering -- 4.4 Fisher Information -- 4.5 Posterior Cramér-Rao Lower Bound -- 4.6 Concluding Remarks -- Chapter 5 Kalman Filter -- 5.1 Introduction -- 5.2 Kalman Filter -- 5.3 Kalman Smoother -- 5.4 Information Filter -- 5.5 Extended Kalman Filter -- 5.6 Extended Information Filter -- 5.7 Divided‐Difference Filter -- 5.8 Unscented Kalman Filter -- 5.9 Cubature Kalman Filter -- 5.10 Generalized PID Filter -- 5.11 Gaussian‐Sum Filter -- 5.12 Applications -- 5.12.1 Information Fusion -- 5.12.2 Augmented Reality…”

Tabla de Contenidos: “…Analyse und Interpretation der ablaufenden -- Prozesse 153 -- 4. Die Bestimmungsgründe der Vermögensverteilung 157 -- 5. …”

Tabla de Contenidos: “…Ramos Expression Profiling in Pinus pinaster in Response to Infection with the Pine Wood Nematode Bursaphelenchus xylophilus Reprinted from: Forests 2017, 8, 279, doi: 10.3390/f8080279 136 -- Zhe Wang, Xiaoqiao Zhai, Yabing Cao, Yanpeng Dong and Guoqiang Fan Long Non-Coding RNAs Responsive to Witches' Broom Disease in Paulownia tomentosa Reprinted from: Forests 2017, 8, 348, doi: 10.3390/f8090348 157 -- Qifei Cai, Bin Li, Furong Lin, Ping Huang, Wenying Guo and Yongqi Zheng De Novo Sequencing and Assembly Analysis of Transcriptome in Pinus bungeana Zucc. ex Endl. …”

Tabla de Contenidos: “…3.4.1 Convolutional neural network -- 3.4.2 Long short-term memory recurrent neural network -- 3.4.3 Bidirectional LSTM -- 3.4.4 LSTM fully convolutional networks -- 3.4.5 Residual deep networks -- References -- 4 Parameter estimation for glucose-insulin dynamics -- 4.1 Affine system -- 4.1.1 Affine system of the Dalla Man model -- 4.1.2 Affine system of Sorensen model -- 4.2 Evolutionary optimization algorithms for parameter estimation -- 4.2.1 Methodology for parametric estimation -- 4.3 Parametric estimation results in compartmental models -- 4.3.1 Sorensen parametric estimation results -- 4.3.1.1 Results obtained by Evonorm -- 4.3.1.2 Results obtained by Differential Evolution -- 4.3.1.3 Results obtained by PSO -- 4.3.1.4 Results obtained by ACO -- 4.3.2 Dalla Man parametric estimation results -- 4.3.2.1 Results obtained by Evonorm -- 4.3.2.2 Results obtained by DE -- 4.3.2.3 Results obtained by PSO -- 4.3.2.4 Results obtained by ACO -- References -- 5 Neural model for glucose-insulin dynamics -- 5.1 Identification -- 5.2 Identification with artificial neural networks -- 5.3 System description -- 5.3.1 Identification with artificial neural networks offline -- 5.3.1.1 Neuronal network configuration using CGM -- 5.3.1.2 LSTM identification results -- 5.3.1.3 BiLSTM results -- 5.3.1.4 MLP results -- 5.3.2 Identification with an artificial neural network online -- 5.3.2.1 RHONN identification structure -- 5.3.3 RHONN results -- References -- 6 Multistep predictor applied to T1DM patients -- 6.1 Prediction -- 6.1.1 Multistep ahead prediction strategies -- 6.1.2 Recursive strategy -- 6.1.3 Direct strategy -- 6.1.4 Neuronal network configuration using CGM data -- 6.2 Prediction results evaluation criteria -- 6.3 Results -- 6.3.1 Neural models with offline training -- 6.3.1.1 MLP results -- 6.3.1.2 LSTM results -- 6.3.1.3 BiLSTM results…”

Tabla de Contenidos: “…-v.) . 58 . [Carta, 1733 diciembre 7, Puerto Conde, a Thomas Nin / el Marqués de Pozoblanco] (h . 58 v.-59 r.) . 59 . …”

Materias:

Tabla de Contenidos: “…PSICOSIS ENDÓGENAS: PERSONA (...); 1. PSICOGÉNESIS EN LAS PSICOSIS; 1.1. GÉNESIS CRIPTOSOMÁTICA; 1.2. …”

Materias:

Materias: “…Biblia. N.T. Epístolas de Juan Comentarios…”