LEADER 03468nam 2200625 a 450 001 9910457210903321 005 20200520144314.0 010 $a1-60086-565-8 010 $a1-60086-346-9 035 $a(CKB)2550000000072749 035 $a(EBL)3111469 035 $a(SSID)ssj0000565821 035 $a(PQKBManifestationID)12252122 035 $a(PQKBTitleCode)TC0000565821 035 $a(PQKBWorkID)10533236 035 $a(PQKB)10500586 035 $a(MiAaPQ)EBC3111469 035 $a(Au-PeEL)EBL3111469 035 $a(CaPaEBR)ebr10516482 035 $a(OCoLC)922978756 035 $a(EXLCZ)992550000000072749 100 $a19840530d1984 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCombustion diagnostics by nonintrusive methods$b[electronic resource] /$fedited by T.D. McCay, J.A. Roux 210 $aNew York $cAmerican Institute of Aeronautics and Astronautics$d1984 215 $a1 online resource (355 p.) 225 1 $aProgress in astronautics and aeronautics ;$vv. 92 300 $a"Technical papers selected from the AIAA 21st Aerospace Sciences Meeting, January 1983, and the AIAA 18th Thermophysics Conference, June 1983, and subsequently revised for this volume." 311 $a0-915928-86-8 320 $aIncludes bibliographical references and index. 327 $a""Cover""; ""Title""; ""Copyright""; ""Table of Contents""; ""Preface""; ""Chapter I. CARS""; ""CARS Diagnostics of High Pressure and Temperature Gases""; ""CARS Thermometry and N2 Number-Density Measurments in a Turbulent Diffusion Flame""; ""Comparison of CARS Combustion Temperatures with Standard Techniques""; ""Electronically Resonant CARS Detection of OH""; ""Simultaneous CARS and Luminosity Measurements in a Bluff-Body Combustion""; ""Chapter II. Laser-Induced Fluorescence.""; ""Nonintrusive Pressure Measurements with Laser-Induced Iodine Fluorescence"" 327 $a""Laser-Induced Schlieren Effect in Sodium-Nitrogen Mixtures""""Use of Laser-Induced Fluorescence for Fundamental Gas-Phase Kinetic Measurements""; ""Chapter III. Particle Diagnostics""; ""Nonintrusive Laser-Based Particle Diagnostics - Invited Review""; ""Interpretation of Optical Measurements of Soot in Flames""; ""In Situ Measurement of the Complex Refractive Index of Combustion Generated Particulates""; ""Chapter IV. Combustion Diagnostics Applications""; ""Temperature and Concentration Measurements in an Internal Combustion Engine Using Laser Raman Spectroscopy"" 327 $a""Rayleigh Thermometry with Low-Power Laser Sources""""Laser Tomography for Simultaneous Concentration and Temperature Measurement in Reacting Flows""; ""Flow Measurement in a Model Combustion Chamber""; ""Author Index"" 410 0$aProgress in astronautics and aeronautics ;$vv. 92. 606 $aCombustion$vCongresses 608 $aElectronic books. 615 0$aCombustion 676 $a629.1 s 676 $a621.402/3 701 $aMcCay$b T. D$0982922 701 $aRoux$b J. A$0982923 712 02$aAmerican Institute of Aeronautics and Astronautics. 712 12$aAIAA Aerospace Sciences Meeting$d(21st :$f1983) 712 12$aAIAA Thermophysics Conference$d(18th :$f1983) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910457210903321 996 $aCombustion diagnostics by nonintrusive methods$92243256 997 $aUNINA LEADER 10900nam 2200517 450 001 996464389303316 005 20220728110219.0 010 $a3-030-89128-3 035 $a(CKB)5470000001298836 035 $a(MiAaPQ)EBC6796426 035 $a(Au-PeEL)EBL6796426 035 $a(OCoLC)1283842784 035 $a(PPN)25829633X 035 $a(EXLCZ)995470000001298836 100 $a20220728d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputer analysis of images and patterns $e19th international conference, CAIP 2021, virtual event, September 28-30, 2021, proceedings, part I /$fNicolas Tsapatsoulis [and four others], editors 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (516 pages) 225 1 $aLecture Notes in Computer Science ;$v13052 311 $a3-030-89127-5 327 $aIntro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- 3D Vision -- Simultaneous Bi-directional Structured Light Encoding for Practical Uncalibrated Profilometry -- 1 Introduction -- 2 Related Work -- 3 Mathematical Investigation -- 3.1 Background: Sinusoidal Phase Shifting Method -- 3.2 Amplitude of Superposition -- 3.3 Combined Patterns -- 3.4 Mathematical Solution to the Problem -- 4 Application to Real World -- 4.1 Swapping Step -- 5 Evaluation -- 6 Conclusions -- References -- Joint Global ICP for Improved Automatic Alignment of Full Turn Object Scans -- 1 Introduction -- 2 Related Work -- 3 Background: Rigid Point Cloud Alignment -- 3.1 Orthogonal Procrustes Problem -- 3.2 Iterative Closest Point (ICP) -- 3.3 Full Turn Registration: Pulli's Approach -- 4 Joint Rigid Point Cloud Alignment -- 5 Outlier Rejection -- 6 Evaluation -- 6.1 Stopping Criterion -- 7 Conclusion -- References -- Fast Projector-Driven Structured Light Matching in Sub-pixel Accuracy Using Bilinear Interpolation Assumption -- 1 Introduction -- 2 Related Work -- 3 Fast Projector Driven Matching (FPDM) -- 3.1 Matching Integer Pixel Quads -- 3.2 Topological Consistency Check (TCC) -- 4 Bilinear Sub-pixel Matching -- 4.1 Sub-pixel Position in Unit Patch -- 4.2 Mapping to Convex Quad -- 5 Results -- 6 Conclusions -- References -- Pyramidal Layered Scene Inference with Image Outpainting for Monocular View Synthesis -- 1 Introduction -- 2 Proposed Method -- 2.1 Outpainting -- 2.2 Pyramidal Network Architecture -- 3 Results -- 4 Conclusions -- References -- Out of the Box: Embodied Navigation in the Real World -- 1 Introduction -- 2 Related Work -- 3 Real-World Navigation with Habitat -- 3.1 Baseline Architecture -- 3.2 Training in Simulation -- 3.3 LoCoNav: Adapting for Real World -- 4 Experiments -- 5 Conclusion -- References. 327 $aToward a Novel LSB-based Collusion-Secure Fingerprinting Schema for 3D Video -- 1 Introduction -- 2 Related Work -- 2.1 Overview on the Existing 3D Video Watermarking Techniques -- 2.2 The Tracing Traitor: A Brief Review -- 3 The General Tracing System -- 3.1 The Copyright Registration Step -- 3.2 The Collusion Attacks -- 3.3 The Copyright Identification Step -- 4 The Proposed Traitor Tracing Framework -- 4.1 The Proposed Copyright Registration Step -- 4.2 The Proposed Copyright Identification Scheme -- 5 Experimental Results -- 5.1 The Watermarking Results -- 5.2 The Tracing Results -- 6 Conclusions and Future Work -- References -- A Combinatorial Coordinate System for the Vertices in the Octagonal C4C8(R) Grid -- 1 Introduction -- 2 Related Work -- 2.1 The 2-Valued Labelling by Ashrafi and Loghman ch7AshrafiLsps2008 -- 2.2 The 4-Valued Coordinate System by Taghizadeh et al. ch7TaghizadehAGsps2012 -- 2.3 The 2-Valued Coordinate System by Taghizadeh et al. ch7TaghizadehAGsps2012 -- 2.4 The 3-Valued Coordinate System by Siddiqui et al. ch7SiddiquiNRIsps2016 and Naeem et al. ch7NaeemSGGsps2018 -- 2.5 The 3-Valued Coordinate System by Heydari and Taeri ch7HeydariTspsRsps2007 -- 3 The Combinatorial Coordinate System -- 3.1 Definition -- 3.2 Connection with the Cartesian Coordinates -- 3.3 Neighbors -- 4 Conversion to/from Existing Coordinate Systems -- 4.1 The 2-Valued Labelling by Ashrafi and Loghman ch7AshrafiLsps2008 -- 4.2 The 4-Valued Coordinate System by Taghizadeh et al. ch7TaghizadehAGsps2012 -- 4.3 The 3-Valued Coordinate System by Siddiqui et al. ch7SiddiquiNRIsps2016 and Naeem et al. ch7NaeemSGGsps2018 -- 4.4 The 3-Valued Coordinate System by Heydari and Taeri ch7HeydariTspsRsps2007 -- 5 Discussion -- References -- Bilingual Speech Recognition by Estimating Speaker Geometry from Video Data -- 1 Introduction -- 2 3D Speaker Geometry Estimation. 327 $a3 Methodology -- 3.1 Object Detection -- 3.2 Speech Recognition System -- 4 Results -- 5 Conclusions and Future Work -- References -- Cost-Efficient Color Correction Approach on Uncontrolled Lighting Conditions -- 1 Introduction -- 2 Previous Work -- 3 Methodology -- 3.1 Data -- 3.2 Color Correction -- 4 Results -- 5 Conclusions -- References -- HPA-Net: Hierarchical and Parallel Aggregation Network for Context Learning in Stereo Matching -- 1 Introduction -- 2 Related Work -- 2.1 Deep Neural Networks for Stereo Matching -- 2.2 Multi-scale Information -- 3 Proposed Method -- 3.1 Network Architecture -- 3.2 Hierarchical Aggregation (HA) Network -- 3.3 Parallel Aggregation (PA) Network -- 3.4 Output Module and Loss Function -- 4 Experimental Results -- 4.1 Datasets and Evaluation Metrics -- 4.2 Implementation Details -- 4.3 Ablation Studies -- 4.4 KITTI Datasets Results -- 5 Conclusion -- References -- MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching -- 1 Introduction -- 2 MTStereo 2.0 -- 2.1 Steps Performed by MTStereo 2.0 -- 3 Experiments -- 3.1 Evaluation -- 3.2 Results and Comparison -- 4 Conclusions -- References -- Biomedical Image and Pattern Analysis -- H-OCS: A Hybrid Optic Cup Segmentation of Retinal Images -- 1 Introduction -- 2 Proposed Method -- 2.1 Region of Interest Extraction -- 2.2 Network Architecture -- 2.3 Loss Function -- 2.4 Transfer Learning -- 2.5 Postprocessing -- 3 Experimental Analysis -- 3.1 Datasets -- 3.2 Implementation Details -- 3.3 Effectiveness of TL and IA -- 3.4 Effectiveness of Loss Functions -- 3.5 Comparison with Other Approaches -- 4 Conclusion -- References -- Retinal Vessel Segmentation Using Blending-Based Conditional Generative Adversarial Networks -- 1 Introduction -- 2 Proposed Method -- 2.1 Datasets -- 2.2 Blending and Enhancement-Based Strategy -- 2.3 GAN Synthesization. 327 $a2.4 CNN-Based Segmentation -- 3 Experimental Evaluation -- 3.1 Qualitative Result -- 3.2 Quantitative Result -- 4 Conclusion -- References -- U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Dataset -- 3.2 Preprocessing -- 3.3 Architecture -- 3.4 Post-processing -- 3.5 Evaluation Metrics -- 4 Experiments and Results -- 5 Conclusion -- References -- Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images -- 1 Introduction -- 2 Methodology -- 2.1 Image Acquisition and Dataset Description -- 2.2 Two Deep Learning Strategies -- 2.3 U-Net Implementation -- 2.4 Experimental Protocol -- 2.5 Model Training with Different Loss Functions -- 3 Results and Discussion -- 3.1 Robustness to Image Acquisition with Another Microscope -- 4 Conclusions -- References -- Shape Analysis Approach Towards Assessment of Cleft Lip Repair Outcome -- 1 Introduction -- 2 Method -- 2.1 Dataset and Tools -- 2.2 Feature Description and Detection -- 2.3 Symmetrical Axis Detection and Measurement -- 2.4 Conversion of Similarity Measure to a Numeric Score -- 3 Experimental Results -- 3.1 Image Segmentation -- 3.2 Evaluation of Aesthetic Assessment -- 4 Conclusion -- References -- MMEC: Multi-Modal Ensemble Classifier for Protein Secondary Structure Prediction -- 1 Introduction -- 2 Methodology -- 2.1 Convolutional Neural Networks -- 2.2 BERT -- 2.3 Inception Recurrent Networks -- 2.4 Multi-Modal Ensemble Classifier -- 2.5 Genetic Algorithm -- 3 Datasets and Evaluation Metric -- 3.1 Datasets -- 3.2 Evaluation Metric -- 4 Experimental Evaluation -- 4.1 CB6133 -- 4.2 CB513 -- 5 Conclusions and Future Work -- References -- Patch-Level Nuclear Pleomorphism Scoring Using Convolutional Neural Networks -- 1 Introduction -- 1.1 Related Work. 327 $a2 Data and Materials -- 3 Methods -- 3.1 Model Training -- 4 Experimental Set-Up -- 5 Results -- 5.1 Validation Results -- 5.2 Test Results -- 6 Discussion -- 7 Conclusion -- References -- Automatic Myelofibrosis Grading from Silver-Stained Images -- 1 Introduction -- 2 Related Work and Open Issues -- 3 Materials and Methods -- 3.1 Data Set -- 3.2 Image Classification -- 4 Experimental Evaluation -- 4.1 Experimental Set-Up -- 4.2 Results -- 5 Conclusions -- References -- A Deep Learning-Based Pipeline for Celiac Disease Diagnosis Using Histopathological Images -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- HEp-2 Cell Image Recognition with Transferable Cross-Dataset Synthetic Samples -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 4 Proposed Method -- 5 Evaluation and Discussion -- 6 Conclusion -- References -- Clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer -- 1 Introduction -- 2 Related Work -- 3 Materials -- 4 Method -- 4.1 Attention Network -- 4.2 Guided Attention -- 4.3 Technical Details -- 5 Results -- 6 Discussion and Conclusion -- References -- Small and Large Bile Ducts Intrahepatic Cholangiocarcinoma Classification: A Preliminary Feature-Based Study -- 1 Introduction -- 2 Proposed Classification Algorithm -- 2.1 Tumor Segmentation -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 3 Performance Evaluation -- 3.1 Patients Dataset -- 3.2 Classification Procedure and Results -- 4 Conclusions -- References -- A Review on Breast Cancer Brain Metastasis: Automated MRI Image Analysis for the Prediction of Primary Cancer Using Radiomics -- 1 Introduction -- 2 Literature Review -- 2.1 Image Preprocessing and Brain Metastasis Segmentation -- 2.2 Prediction of Brain Metastasis: Breast Cancer Origin -- 3 Discussion. 327 $aReferences. 410 0$aLecture notes in computer science ;$v13052. 606 $aComputer vision$vCongresses 606 $aMachine learning$vCongresses 615 0$aComputer vision 615 0$aMachine learning 676 $a006.37 702 $aTsapatsoulis$b Nicolas$f1969- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464389303316 996 $aComputer Analysis of Images and Patterns$9772514 997 $aUNISA LEADER 02192nam 22005293u 450 001 9910164976703321 005 20230803015222.0 010 $a9782511000625 010 $a2511000628 035 $a(CKB)3790000000024965 035 $a(EBL)2088958 035 $a(MiAaPQ)EBC2088958 035 $a(Au-PeEL)EBL2088958 035 $a(OCoLC)914149919 035 $a(Perlego)3578291 035 $a(Exl-AI)2088958 035 $a(EXLCZ)993790000000024965 100 $a20150720d2013|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSummary of Drift 205 $a1st ed. 210 $aCork $cPrimento Digital$d2013 215 $a1 online resource (26 p.) 300 $aDescription based upon print version of record. 311 08$a9782512004325 311 08$a2512004325 327 $aTitle page; Book Presentation; Book Abstract; About the Author; Important Note About This Ebook; Summary of Drift (Rachel Maddow); The American Art of Fighting; Stupid Regulations; Doing More With Less; You Build It, You Own It; Buy the Book; About the Summary Publisher; Copyright 330 $a This ebook consists of a summary of the ideas, viewpoints and facts presented by Rachel Maddow in her book "Drift, The Unmooring of American Military Power". This summary offers a concise overview of the entire book in less than 30 minutes reading time. However this work does not replace in any case Rachel Maddow's book.
Maddow argues that America has broken faith with the best lessons form the past, by continually fighting a war(s) in other countries.
517 $aSummary 517 $aSummary of Drift 606 $aWar and emergency powers$zUnited States$7Generated by AI 606 $aPrivate military companies$7Generated by AI 615 0$aWar and emergency powers 615 0$aPrivate military companies 676 $a306.2/70973 700 $aReader$b Capitol$0888945 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910164976703321 996 $aSummary of Drift$93409650 997 $aUNINA