Accés lliure via BiPaDi
Accés lliure via BiPaDi
Accés lliure via BiPaDi
Accés lliure via BiPaDi
Accés lliure via BiPaDi

Tabla de Contenidos: “…Contiene : v.0: Introductio -- v. 1: Ab initiis Aerae Christianae ad annum 304 -- v. 2: Ab anno 305 ad annum 346 -- v. 3: Ab anno 347 ad annum 409 -- v. 4: Ab anno 410 ad annum 431-- v. 5: Ab anno 431 ad annum 441 -- v. 6: Ab anno 441 ad annum 451 inclusive -- v. 7: Ab anno 451 ad annum 492 inclusive -- v. 8: Ab anno 492 ad annum 536 inclusive -- v. 9: Ab anno 536 usque ad annum 590 -- v. 10: Ab anno 590 usque ad annum 653 inclusive -- v. 11: Ab anno 653 usq. ad annum 687 inclusive -- v. 12: Ab an. 687 usq. ad an. 787 -- v. 13: Ab an. 787 usq. ad an. 814 -- v. 14: Ab an. 814 usque ad an. 856 inclusive. …”

Tabla de Contenidos: “…Cover -- Half Title -- Title -- Copyright -- Dedication -- Table of Contents -- Preface -- INTRODUCTION -- 1.1 Introduction -- 1.2 A little bit of history -- 1.3 Information -- 1.4 Digital versus analogue -- 1.5 Conversion to digital -- 1.6 Sampling theory -- 1.7 Quantization -- 1.8 Exercises -- COMPRESSION TECHNIQUES -- 2.1 Introduction -- 2.2 Compression methods -- 2.3 Letter probabilities -- 2.4 Coding methods -- 2.5 Statistical encoding -- 2.6 Repetitive sequence suppression -- 2.7 Differential encoding -- 2.8 Transform encoding -- 2.9 Exercises -- 2.10 Letter probablity program -- HUFFMAN/LEMPEL-ZIV COMPRESSION METHODS -- 3.1 Introduction -- 3.2 Huffman coding -- 3.3 Adaptive Huffman coding -- 3.4 Lempel-Ziv coding -- 3.5 Lempel-Ziv-Welsh coding -- 3.6 Variable-length-code LZW compression -- 3.7 Disadvantages with LZ compression -- 3.8 Practical Lempel-Ziv/Huffman coding -- 3.9 Exercises -- IMAGE COMPRESSION (GIF/TIFF/ PCX) -- 4.1 Introduction -- 4.2 Comparison of the different methods -- 4.3 GIF coding -- 4.4 TIFF coding -- 4.5 GIF interlaced images -- 4.6 PCX coding -- 4.7 Exercises -- IMAGE COMPRESSION (JPEG) -- 5.1 Introduction -- 5.2 JPEG coding -- 5.3 JPEG decoding -- 5.4 JPEG file format -- 5.5 JPEG modes -- 5.6 Exercises -- VIDEO SIGNALS -- 6.1 Introduction -- 6.2 Color-difference signals -- 6.3 Quadrature modulation -- 6.4 Baseband video signals -- 6.5 Digitizing TV signals -- 6.6 100 Hz pictures -- 6.7 Compressed TV -- 6.8 HDTV quality -- 6.9 Exercise -- MOTION VIDEO COMPRESSION -- 7.1 Motion video -- 7.2 MPEG-1 overview -- 7.3 MPEG-1 video compression -- 7.4 MPEG-1 compression process -- 7.5 MPEG-1 decoder -- 7.6 MPEG-1 audio compression -- 7.7 MPEG-2 -- 7.8 MPEG-2 system layer -- 7.9 Other MPEG-2 enhancements -- 7.10 MPEG-2 bit rate -- 7.11 Exercises -- SPEECH AND AUDIO SIGNALS -- 8.1 Introduction -- 8.2 PCM parameters…”

Tabla de Contenidos: “…Moderating images -- Using the DetectModerationLabels API -- Using top-level categories -- Using secondary-level categories -- Putting it together -- Quick recap -- Moderating videos -- Creating the supporting resources -- Finding the resource ARNs -- Uploading the sample video to Amazon S3 -- Using the StartContentModeration API -- Examining the completion notification -- Using the GetContentModeration API -- Quick recap -- Using AWS Lambda to automate the workflow -- Implement the Start Analysis Handler -- Implementing the Get Results Handler -- Publishing function changes -- Experiment with the end-to-end -- Summary -- Part 3: CV at the edge -- Chapter 7: Introducing Amazon Lookout for Vision -- Technical requirements -- Introducing Amazon Lookout for Vision -- The benefits of Amazon Lookout for Vision -- Creating a model using Amazon Lookout for Vision -- Choosing the model type based on your business goals -- Creating a model -- Starting your model -- Analyzing an image -- Stopping your model -- Building a model to identify damaged pills -- Step 1 - collecting your images -- Step 2 - creating a project -- Step 3 - creating the training and test datasets -- Step 4 - verifying the dataset -- Step 5 - training your model -- Validating it works -- Step 1 - trial detection -- Step 2 - starting your model -- Step 3 - analyzing an image with your model -- Step 4 - stopping your model -- Summary -- Chapter 8: Detecting Manufacturing Defects Using CV at the Edge -- Technical requirements -- Understanding ML at the edge -- Deploying a model at the edge using Lookout for Vision and AWS IoT Greengrass -- Step 1 - Launch an Amazon EC2 instance -- Step 2 - Create an IAM role and attach it to an EC2 instance -- Step 3 - Install AWS IoT Greengrass V2 -- Step 4 - Upload training and test datasets to S3 -- Step 5 - Create a project…”

Tabla de Contenidos: “…Tableaux pour mémoire -- 5 Tableaux détaillés par pays, 1965-2017 -- 5.1. Recettes fiscales -- 5.2. Tableaux pour mémoire -- 6 Recettes fiscales par sous-secteur d'administration -- Tableaux comparatifs 1975, 1995, 2000 et 2017 -- Tableaux par pays 1975, 1985, 1995, 2005 et 2017 -- Annex A. …”

Tabla de Contenidos: “…Assessing the IMS: A Discussion of 56004:2019 </B>*</P><P><B>Assessment Approaches</B> *</P><I><P></I><I>Assessment Objectives </I>*</P><I><P></I><I>The Breath and the Extent of the Assessment </I>*</P><I><P></I><I>Assessment Focus </I>*</P><I><P></I><I>Expertise Involved in Assessment </I>*</P><I><P></I><I>Data Collection and Data Collection Tools </I>*</P><I><P></I><I>Data Type </I>*</P><I><P></I><I>Reference and Comparison </I>*</P><I><P></I><I>Data Interpretation </I>*</P><I><P></I><I>Innovation Management Outputs, Format and Reports </I>*</P><P><B>Section 5.2.1. Performance Criteria for Innovation Management</B> *</P><B><P></B><B>Chapter 4. …”

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