“…Nacido en Judea, en el siglo I d.C., recibió una amplia formación tanto judía como grecorromana. …”

“…Electrospinning allows to produce 1D nanostructures on an industrial scale in a relatively easy and quick way. …”

“…Bibliotecas y clase social en la España de Carlos V (1516-1556) se circunscribe en el Proyecto i+d «De la biblioteca particular al canon literario en los Siglos de Oro (II)» (Ref. …”

“…This includes nitrides, carbides, and graphene-like low-dimensional materials (0D, 1D, and 2D)."--Publisher…”

“…Most of the book's examples are made using Modelica platforms, but they can easily be implemented in other 0D/1D multidomain physical system simulation environments such as Amesim, Simulink/Simscape, VHDL-AMS and so on…”

Tabla de Contenidos: “…Investigación y desarrollo (I + D) -- 4.8. Desarrollo sostenible -- 4.9. Paradigmas sobre la ingeniería -- 4.10. …”

Tabla de Contenidos: “…-- 4.6.1 Example for the Calculation of an Imaging Constellation -- References -- Chapter 5 Camera Calibration -- 5.1 Introduction -- 5.2 Terminology -- 5.2.1 Camera, Camera System -- 5.2.2 Coordinate Systems -- 5.2.3 Interior Orientation and Calibration -- 5.2.4 Exterior and Relative Orientation -- 5.2.5 System Calibration -- 5.3 Physical Effects -- 5.3.1 Optical System -- 5.3.2 Camera and Sensor Stability -- 5.3.3 Signal Processing and Transfer -- 5.4 Mathematical Calibration Model -- 5.4.1 Central Projection -- 5.4.2 Camera Model -- 5.4.3 Focal Length and Principal Point -- 5.4.4 Distortion and Affinity -- 5.4.5 Radial Symmetrical Distortion -- 5.4.6 Radial Asymmetrical and Tangential Distortion -- 5.4.7 Affinity and Nonorthogonality -- 5.4.8 Variant Camera Parameters -- 5.4.9 Sensor Flatness -- 5.4.10 Other Parameters -- 5.5 Calibration and Orientation Techniques -- 5.5.1 In the Laboratory -- 5.5.2 Using Bundle Adjustment to Determine Camera Parameters -- 5.5.3 Other Techniques -- 5.6 Verification of Calibration Results -- 5.7 Applications -- 5.7.1 Applications with Simultaneous Calibration -- 5.7.2 Applications with Precalibrated Cameras -- References -- Chapter 6 Camera Systems in Machine Vision -- 6.1 Camera Technology -- 6.1.1 History in Brief -- 6.1.2 Machine Vision versus Closed Circuit TeleVision (CCTV) -- 6.2 Sensor Technologies -- 6.2.1 Spatial Differentiation: 1D and 2D -- 6.2.2 CCD Technology -- 6.2.3 CMOS Image Sensor -- 6.2.4 MATRIX VISION Available Cameras…”

Tabla de Contenidos: “…Taux de création d'entreprises -- Annexe 1.D. Productivité de la main d'œuvre des PME par secteur -- Partie I. …”

Tabla de Contenidos: “…Fomentar el desarrollo de una estrategia integral para apoyar a los estudiantes en una formamás estructurada en las escuelas--1D. Alentar a las escuelas a fortalecer los vínculos con todos los padres de familiaRecomendación 2: Desarrollar y explotar más el potencial de los sistemas de alerta temprana y el uso de la evaluación para el aprendizaje--2A. …”

Tabla de Contenidos: “…Front Cover -- The Safety Critical Systems Handbook -- The Safety Critical Systems Handbook -- Copyright -- Contents -- The relationship of the documents to IEC 61508 -- A Quick Overview -- The 2010 Version of IEC 61508 -- Architectural Constraints (Chapter 3) -- Security (Chapter 2) -- Safety Specifications (Chapter 3) -- Digital Communications (Chapter 3) -- ASICs and Integrated Circuits (Chapters 3 and 4) -- Safety Manual (Chapters 3 and 4) -- Synthesis of Elements (Chapter 3) -- Software Properties of Techniques (Chapter 4) -- Element (Appendix 8) -- The 2016 Version of IEC 61511 -- Acknowledgments -- A - The Concept of Safety Integrity -- 1 - The Meaning and Context of Safety Integrity Targets -- 1.1 Risk and the Need for Safety Targets -- 1.2 Quantitative and Qualitative Safety Target -- 1.3 The Life-Cycle Approach -- Section 7.1 of Part 1 -- Concept and scope [Part 1-7.2 and 7.3] -- Hazard and risk analysis [Part 1-7.4] -- Safety requirements and allocation [Part 1-7.5 and 7.6] -- Plan operations and maintenance [Part 1-7.7] -- Plan installation and commissioning [Part 1-7.9] -- Plan the validation [Part 1d7.8] -- The safety requirements specification [Part 1-7.10] -- Design and build the system [Part 1-7.11 and 7.12] -- Install and commission [Part 1-7.13] -- Validate that the safety-systems meet the requirements [Part 1-7.14] -- Operate, maintain, and repair [Part 1-7.15] -- Control modifications [Part 1-7.16] -- Disposal [Part 1-7.17] -- Verification [Part 1-7.18] -- Functional safety assessments [Part 1-8] -- 1.4 Steps in the Assessment Process -- Step 1. …”

Tabla de Contenidos: “…3.2.2 Parabolic Trough Collector -- 3.2.3 Compound Parabolic -- 3.3 Point Focus and Other Concentrating Solar Collectors -- 3.3.1 Central Receiver System -- 3.3.2 Solar Dish -- 3.3.3 Fresnel Lens -- 3.4 Improving the Thermal Performance of Solar Concentrating Collectors -- 3.5 Industrial Adoption and Costs of Solar Concentrating Collectors -- 3.6 Conclusions and Recommendations -- References -- 4 Nanotechnology for Heat Transfer -- 4.1 Introduction -- 4.2 Classification of Nanomaterials -- 4.2.1 Zero-dimensional (0D) -- 4.2.2 One-dimensional (1D) -- 4.2.3 Two-dimensional (2D) -- 4.2.4 Three-dimensional (3D) -- 4.3 Heat Transfer Characteristics and Applications of Nanotechnology on the Heat Transfer Enhancement -- 4.3.1 Convective Heat Transfer -- 4.3.2 Boiling Heat Transfer -- 4.3.3 Thermal Conductivity -- 4.3.4 Viscosity -- 4.4 A Review of Studies and Recent Advances Using Nanomaterials in Energy Conversion, Energy Storage, and Heat Transfer Developm -- 4.5 Recent Advances -- 4.6 Challenges and Future Scope -- 4.7 Conclusion -- References -- 5 Nanofluids in Linear Fresnel Reflector -- 5.1 Introduction and Recent Advances of Linear Fresnel Reflectors -- 5.2 The Idea of Using Nanofluids in Solar Collectors -- 5.3 A Review of Studies with Nanofluid-based Linear Fresnel Reflector -- 5.4 Remarks and Future Scope -- 5.4.1 Advantages of LFR -- 5.4.2 Disadvantages of LFR -- 5.5 Conclusions -- References -- 6 Thermal Management and Performance Enhancement of Parabolic Trough Concentrators Using Nanofluids -- 6.1 Introduction -- 6.2 Recent Advances of Parabolic Trough Collectors -- 6.3 Application of Nanofluids in PTCs -- 6.4 State-of-Art Studies on Using Nanofluids in Parabolic Trough Collectors -- 6.5 Conclusions and Future Scope -- References -- 7 Developing Innovations in Parabolic Trough Collectors (PTCs) Based on Numerical Studies -- 7.1 Introduction…”

Tabla de Contenidos: “…6.3.9 Euler Number Feature (ENF) -- 6.3.10 Profiles Feature (PRF) -- 6.4 1D Function-Based Features for Shape Representation -- 6.4.1 Complex Coordinates Feature (CCF) -- 6.4.2 Extracting Edge Characteristics Using Complex Coordinates -- 6.4.3 Edge Detection Using Even and Odd Shearlet Symmetric Generators -- 6.4.4 Object Detection and Isolation Using the Shearlet Coefficient Feature (SCF) -- 6.5 Polygonal-Based Features (PBF) -- 6.6 Spatial Interrelation Feature (SIF) -- 6.7 Moments Features (MFE) -- 6.8 Scale Space Approaches for Feature Extraction (SSA) -- 6.9 Shape Transform Features (STF) -- 6.9.1 Radon Transform Features (RTF) -- 6.9.2 Linear Radon Transform -- 6.9.3 Translation of RT -- 6.9.4 Scaling of RT -- 6.9.5 Point and Line Transform Using RT -- 6.9.6 RT in Sparse Objects -- 6.9.7 Point and Line in RT -- 6.10 Various Case-Based Examples in Infrastructures Management -- 6.10.1 Case 1: Feature Extraction from Polypropylene Modified Bitumen Optical Microscopy Images -- 6.10.2 Ratio of Number of Black Pixels to the Number of Total Pixels (RBT) -- 6.10.3 Ratio of Number of Black Pixels to the Number of Total Pixels in Watershed Segmentation (RWS) -- 6.10.4 Number and Average Area of the White Circular Objects in the Binary Image (The number of circular objects [NCO] &amp -- ACO) -- 6.10.5 Entropy of the Image -- 6.10.6 Radon Transform Maximum Value (RTMV) -- 6.10.7 Entropy of Radon Transform (ERT) -- 6.10.8 High Amplitude Radon Percentage (HARP) -- 6.10.9 High-Energy Radon Percentage (HERP) -- 6.10.10 Standard Deviation of Radon Transform (STDR) -- 6.10.11 Qth-Moment of Radon Transform (QMRT) -- 6.10.12 Case 2: Image-Based Feature Extraction for Pavement Skid Evaluation -- 6.10.13 Case 3: Image-Based Feature Extraction for Pavement Texture Drainage Capability Evaluation…”