Search Results - ("algorithm" OR "algorithms")

Supersonic Business Jets in Preliminary Aircraft Design. by Schuermann, Martin

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Statistical Disclosure Control. by Hundepool, Anco

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Multi-dimensional Imaging. by Javidi, Bahram

Table of Contents: “…About the Editors xv -- List of Contributors xvii -- Preface xxi -- Acknowledgments xxiii -- Part I MULTI-DIMENSIONAL DIGITAL HOLOGRAPHIC TECHNIQUES -- 1 Parallel Phase-Shifting Digital Holography 3 / Yasuhiro Awatsuji -- 1.1 Chapter Overview 3 -- 1.2 Introduction 3 -- 1.3 Digital Holography and Phase-Shifting Digital Holography 4 -- 1.4 Parallel Phase-Shifting Digital Holography 6 -- 1.5 Experimental Demonstration of Parallel Phase-Shifting Digital Holography 8 -- 1.6 High-Speed Parallel Phase-Shifting Digital Holography System 12 -- 1.7 Single-Shot Femtosecond-Pulsed Parallel Phase-Shifting Digital Holography System 14 -- 1.8 Portable Parallel Phase-Shifting Digital Holography System 17 -- 1.9 Functional Extension of Parallel Phase-Shifting Digital Holography 17 -- 1.10 Prospects and Conclusion 20 -- 2 Imaging and Display of Human Size Scenes by Long Wavelength Digital Holography 25 / Massimiliano Locatelli, Eugenio Pugliese, Melania Paturzo, Vittorio Bianco, Andrea Finizio, Anna Pelagotti, Pasquale Poggi, Lisa Miccio, Riccardo Meucci and Pietro Ferraro -- 2.1 Introduction 25 -- 2.2 Digital Holography Principles 25 -- 2.3 Infrared Digital Holography 33 -- 2.4 Latest Achievements in IRDH 34 -- 2.5 Conclusion 46 -- 3 Digital Hologram Processing in On-Axis Holography 51 / Corinne Fournier, Lo<U+0082>Sic Denis, Mozhdeh Seifi and Thierry Fournel -- 3.1 Introduction 51 -- 3.2 Model of Hologram Image Formation 52 -- 3.3 DH Reconstruction Based on Back Propagation 56 -- 3.4 Hologram Reconstruction Formulated as an Inverse Problem 57 -- 3.5 Estimation of Accuracy 64 -- 3.6 Fast Processing Algorithms 65 -- 3.7 Conclusion 69 -- 4 Multi-dimensional Imaging by Compressive Digital Holography 75 / Yair Rivenson, Adrian Stern, Joseph Rosen, and Bahram Javidi -- 4.1 Introduction 75 -- 4.2 Compressive Sensing Preliminaries 76 -- 4.3 Conditions for Accurate Reconstruction of Compressive Digital Holographic Sensing 79 -- 4.4 Applications of Compressive Digital Holographic Sensing 84.…”
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Visual Inspection Technology in the Hard Disc Drive Industry. by Muneesawang, Paisarn

Table of Contents: “…Introduction / Suchart Yammen / Paisarn Muneesawang -- 1.2. Algorithm for corrosion detection / Suchart Yammen / Paisarn Muneesawang -- 1.2.1. …”
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Official Google Cloud Certified Professional Data Engineer study guide by Sullivan, Dan, 1962-

Table of Contents: “…Row Key Access 13 -- Unstructured Data 15 -- Google's Storage Decision Tree 16 -- Schema Design Considerations 16 -- Relational Database Design 17 -- NoSQL Database Design 20 -- Exam Essentials 23 -- Review Questions 24 -- Chapter 2 Building and Operationalizing Storage Systems 29 -- Cloud SQL 30 -- Configuring Cloud SQL 31 -- Improving Read Performance with Read Replicas 33 -- Importing and Exporting Data 33 -- Cloud Spanner 34 -- Configuring Cloud Spanner 34 -- Replication in Cloud Spanner 35 -- Database Design Considerations 36 -- Importing and Exporting Data 36 -- Cloud Bigtable 37 -- Configuring Bigtable 37 -- Database Design Considerations 38 -- Importing and Exporting 39 -- Cloud Firestore 39 -- Cloud Firestore Data Model 40 -- Indexing and Querying 41 -- Importing and Exporting 42 -- BigQuery 42 -- BigQuery Datasets 43 -- Loading and Exporting Data 44 -- Clustering, Partitioning, and Sharding Tables 45 -- Streaming Inserts 46 -- Monitoring and Logging in BigQuery 46 -- BigQuery Cost Considerations 47 -- Tips for Optimizing BigQuery 47 -- Cloud Memorystore 48 -- Cloud Storage 50 -- Organizing Objects in a Namespace 50 -- Storage Tiers 51 -- Cloud Storage Use Cases 52 -- Data Retention and Lifecycle Management 52 -- Unmanaged Databases 53 -- Exam Essentials 54 -- Review Questions 56 -- Chapter 3 Designing Data Pipelines 61 -- Overview of Data Pipelines 62 -- Data Pipeline Stages 63 -- Types of Data Pipelines 66 -- GCP Pipeline Components 73 -- Cloud Pub/Sub 74 -- Cloud Dataflow 76 -- Cloud Dataproc 79 -- Cloud Composer 82 -- Migrating Hadoop and Spark to GCP 82 -- Exam Essentials 83 -- Review Questions 86 -- Chapter 4 Designing a Data Processing Solution 89 -- Designing Infrastructure 90 -- Choosing Infrastructure 90 -- Availability, Reliability, and Scalability of Infrastructure 93 -- Hybrid Cloud and Edge Computing 96 -- Designing for Distributed Processing 98 -- Distributed Processing: Messaging 98 -- Distributed Processing: Services 101 -- Migrating a Data Warehouse 102 -- Assessing the Current State of a Data Warehouse 102 -- Designing the Future State of a Data Warehouse 103 -- Migrating Data, Jobs, and Access Controls 104 -- Validating the Data Warehouse 105 -- Exam Essentials 105 -- Review Questions 107 -- Chapter 5 Building and Operationalizing Processing Infrastructure 111 -- Provisioning and Adjusting Processing Resources 112 -- Provisioning and Adjusting Compute Engine 113 -- Provisioning and Adjusting Kubernetes Engine 118 -- Provisioning and Adjusting Cloud Bigtable 124 -- Provisioning and Adjusting Cloud Dataproc 127 -- Configuring Managed Serverless Processing Services 129 -- Monitoring Processing Resources 130 -- Stackdriver Monitoring 130 -- Stackdriver Logging 130 -- Stackdriver Trace 131 -- Exam Essentials 132 -- Review Questions 134 -- Chapter 6 Designing for Security and Compliance 139 -- Identity and Access Management with Cloud IAM 140 -- Predefined Roles 141 -- Custom Roles 143 -- Using Roles with Service Accounts 145 -- Access Control with Policies 146 -- Using IAM with Storage and Processing Services 148 -- Cloud Storage and IAM 148 -- Cloud Bigtable and IAM 149 -- BigQuery and IAM 149 -- Cloud Dataflow and IAM 150 -- Data Security 151 -- Encryption 151 -- Key Management 153 -- Ensuring Privacy with the Data Loss Prevention API 154 -- Detecting Sensitive Data 154 -- Running Data Loss Prevention Jobs 155 -- Inspection Best Practices 156 -- Legal Compliance 156 -- Health Insurance Portability and Accountability Act (HIPAA) 156 -- Children's Online Privacy Protection Act 157 -- FedRAMP 158 -- General Data Protection Regulation 158 -- Exam Essentials 158 -- Review Questions 161 -- Chapter 7 Designing Databases for Reliability, Scalability, and Availability 165 -- Designing Cloud Bigtable Databases for Scalability and Reliability 166 -- Data Modeling with Cloud Bigtable 166 -- Designing Row-keys 168 -- Designing for Time Series 170 -- Use Replication for Availability and Scalability 171 -- Designing Cloud Spanner Databases for Scalability and Reliability 172 -- Relational Database Features 173 -- Interleaved Tables 174 -- Primary Keys and Hotspots 174 -- Database Splits 175 -- Secondary Indexes 176 -- Query Best Practices 177 -- Designing BigQuery Databases for Data Warehousing 179 -- Schema Design for Data Warehousing 179 -- Clustered and Partitioned Tables 181 -- Querying Data in BigQuery 182 -- External Data Access 183 -- BigQuery ML 185 -- Exam Essentials 185 -- Review Questions 188 -- Chapter 8 Understanding Data Operations for Flexibility and Portability 191 -- Cataloging and Discovery with Data Catalog 192 -- Searching in Data Catalog 193 -- Tagging in Data Catalog 194 -- Data Preprocessing with Dataprep 195 -- Cleansing Data 196 -- Discovering Data 196 -- Enriching Data 197 -- Importing and Exporting Data 197 -- Structuring and Validating Data 198 -- Visualizing with Data Studio 198 -- Connecting to Data Sources 198 -- Visualizing Data 200 -- Sharing Data 200 -- Exploring Data with Cloud Datalab 200 -- Jupyter Notebooks 201 -- Managing Cloud Datalab Instances 201 -- Adding Libraries to Cloud Datalab Instances 202 -- Orchestrating Workflows with Cloud Composer 202 -- Airflow Environments 203 -- Creating DAGs 203 -- Airflow Logs 204 -- Exam Essentials 204 -- Review Questions 206 -- Chapter 9 Deploying Machine Learning Pipelines 209 -- Structure of ML Pipelines 210 -- Data Ingestion 211 -- Data Preparation 212 -- Data Segregation 215 -- Model Training 217 -- Model Evaluation 218 -- Model Deployment 220 -- Model Monitoring 221 -- GCP Options for Deploying Machine Learning Pipeline 221 -- Cloud AutoML 221 -- BigQuery ML 223 -- Kubeflow 223 -- Spark Machine Learning 224 -- Exam Essentials 225 -- Review Questions 227 -- Chapter 10 Choosing Training and Serving Infrastructure 231 -- Hardware Accelerators 232 -- Graphics Processing Units 232 -- Tensor Processing Units 233 -- Choosing Between CPUs, GPUs, and TPUs 233 -- Distributed and Single Machine Infrastructure 234 -- Single Machine Model Training 234 -- Distributed Model Training 235 -- Serving Models 236 -- Edge Computing with GCP 237 -- Edge Computing Overview 237 -- Edge Computing Components and Processes 239 -- Edge TPU 240 -- Cloud IoT 240 -- Exam Essentials 241 -- Review Questions 244 -- Chapter 11 Measuring, Monitoring, and Troubleshooting Machine Learning Models 247 -- Three Types of Machine Learning Algorithms 248 -- Supervised Learning 248 -- Unsupervised Learning 253 -- Anomaly Detection 254 -- Reinforcement Learning 254 -- Deep Learning 255 -- Engineering Machine Learning Models 257 -- Model Training and Evaluation 257 -- Operationalizing ML Models 262 -- Common Sources of Error in Machine Learning Models 263 -- Data Quality 264 -- Unbalanced Training Sets 264 -- Types of Bias 264 -- Exam Essentials 265 -- Review Questions 267 -- Chapter 12 Leveraging Prebuilt Models as a Service 269 -- Sight 270 -- Vision AI 270 -- Video AI 272 -- Conversation 274 -- Dialogflow 274 -- Cloud Text-to-Speech API 275 -- Cloud Speech-to-Text API 275 -- Language 276 -- Translation 276 -- Natural Language 277 -- Structured Data 278 -- Recommendations AI API 278 -- Cloud Inference API 280 -- Exam Essentials 280 -- Review Questions 282 -- Appendix Answers to Review Questions 285 -- Chapter 1: Selecting Appropriate Storage Technologies 286 -- Chapter 2: Building and Operationalizing Storage Systems 288 -- Chapter 3: Designing Data Pipelines 290 -- Chapter 4: Designing a Data Processing Solution 291 -- Chapter 5: Building and Operationalizing Processing Infrastructure 293 -- Chapter 6: Designing for Security and Compliance 295 -- Chapter 7: Designing Databases for Reliability, Scalability, and Availability 296 -- Chapter 8: Understanding Data Operations for Flexibility and Portability 298 -- Chapter 9: Deploying Machine Learning Pipelines 299 -- Chapter 10: Choosing Training and Serving Infrastructure 301 -- Chapter 11: Measuring, Monitoring, and Troubleshooting Machine Learning Models 303 -- Chapter 12: Leveraging Prebuilt Models as a Service 304 -- Index 307.…”
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Tumor board review : guideline and case reviews in oncology

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Power system wide-area stability analysis and control by Ma, Jing (Electrical engineer)

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Measurement while drilling (MWD) : signal analysis, optimization, and design by Chin, Wilson C.

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Handbook of statistical genomics

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Lung cancer and imaging

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Material science, civil engineering and architecture science, mechanical engineering and manufacturing technology II : Selected, peer reviewed papers from the 2014 3rd Internationa...

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Aerospace Sensors. by Nebylov, Alexander

Table of Contents: “…Principles and examples of sensor integration -- 9.1 Sensor systems -- 9.1.1 The sensor system concept -- 9.1.2 Joint processing of readings from identical sensors -- 9.1.3 Joint processing of readings from cognate sensors with different measurement ranges -- 9.1.4 Joint processing of diverse sensors readings -- 9.1.5 Linear and nonlinear sensor integration algorithms -- 9.2 Fundamentals of integrated measuring system synthesis -- 9.2.1 Synthesis problem statement -- 9.2.2 Classes of dynamic system realization -- 9.2.3 Measurement accuracy indices -- 9.2.4 Excitation properties -- 9.2.5 Objective functions for robust system optimisation -- 9.2.6 Methods of dynamic system accuracy index analysis under excitation with given numerical characteristics of derivatives -- 9.2.6.1 Estimation of error variance -- 9.2.6.2 Example of error variance analysis -- 9.2.6.3 Use of equivalent harmonic excitation -- 9.2.6.4 Estimation of error maximal value -- 9.2.7 System optimization under maximum accuracy criteria -- 9.2.8 Procedures for the dimensional reduction of a measuring system -- 9.2.8.1 Determination of an optimal set of sensors -- 9.2.8.2 Analysis of the advantages of invariant system construction -- 9.2.8.3 Advantages of the zeroing of several system parameters -- 9.2.9 Realization and simulation of integration algorithms -- 9.3 Examples of two-component integrated navigation systems -- 9.3.1 Noninvariant robust integrated speed meter -- 9.3.2 Integrated radio-inertial measurement -- 9.3.3 Airborne gravimeter integration -- 9.3.4 The orbital verticant -- References…”
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Mastering Active Directory by Francis, Dishan

Table of Contents: “…-- Active Directory Certificate Service components -- The certification authority -- Certificate Enrollment Web Service -- Certificate Enrollment Policy Web Service -- Certification Authority Web Enrollment -- Network Device Enrollment Service -- Online Responder -- The types of CA -- Planning PKI -- Internal or public CAs -- Identifying the object types -- Cryptographic provider -- The cryptography key length -- Hash algorithms -- The certificate validity period -- The CA hierarchy -- High availability -- Deciding certificate templates -- The CA boundary -- PKI deployment models -- The single-tier model -- The two-tier model -- Three-tier models -- Setting up PKI -- Setting up a stand-alone root CA -- DSConfigDN -- CDP locations -- AIA locations -- CA time limits -- CRL time limits -- The new CRL -- Publishing the root CA data into the Active Directory -- Setting up the issuing CA.…”
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Unmanned aircraft systems

Table of Contents: “…1.1 Autonomy Levels for UAS -- 1.2 Overview of Architectures for Autonomous Systems -- 2 Autonomy Architecture for UAS -- 2.1 Low-Level Architecture -- 2.2 High-Level Architecture -- 3 Example of Autonomy Architecture: The ARCAS Project -- 3.1 Low-Level ARCAS Architecture -- 3.2 High-Level ARCAS Architecture -- 3.3 Example of ARCAS Complex Mission: Assembly Operations -- 4 Conclusions -- References -- Chapter 17: Obstacle Avoidance: Static Obstacles -- 1 Introduction -- 2 Avoiding Static Obstacles -- 2.1 Voronoi Diagram -- 2.2 Cell Decomposition -- 2.3 Visibility Graph -- 2.4 Potential Field and Sampling-Based Methods -- 3 Research on Obstacle Avoidance -- 4 Avoidance of Static Obstacles -- 5 Reactive Planning -- 6 Summary -- References -- Chapter 18: Guided Weapon and UAV Navigation and Path-Planning -- 1 Problems of GPS and INS for Missiles and UAVs -- 1.1 Global Positioning System (GPS) Navigation -- 1.2 Inertial Navigation System (INS) -- 1.3 Inertial Navigation Algorithm -- 1.4 GPS/INS Integration -- 2 Principles and Practice of TERPROM and TERCOM -- 2.1 Aircraft and UAV Path Planning -- 3 Tactical Missile Guidance Strategies -- 3.1 CLOS Guidance and Variations -- 3.2 Proportional Navigation (PN) Guidance -- 3.3 Miss Distance (MD) -- 4 Conclusions -- Notation -- Nomenclature -- References -- Chapter 19: Embedded UAS Autopilot and Sensor Systems -- 1 Introduction -- 2 Autopilot Architecture -- 3 Inner-Loop Control Structure -- 3.1 Lateral Autopilot -- 3.2 Longitudinal Autopilot -- 4 On-Board Sensors and Sensor Processing -- 4.1 Angular Rates, Airspeed, and Altitude -- 4.2 Roll and Pitch Angles -- 4.3 Inertial Position and Heading -- 5 GPS Navigation -- 5.1 Straight-Line Path Following -- 5.2 Orbit Following -- 6 Summary -- Acknowledgments -- End Notes -- References -- Part 6: Control.…”
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Towards human-UAV physical interaction and fully actuated aerial vehicles by Rajappa, Sujit

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The IoT Architect's Guide to Attainable Security & Privacy by Fagbemi, Damilare D.

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Fundamentals of Fluid Power Control. by Watton, John

Table of Contents: “…Control-Volume Flow Continuity -- PRV Flow -- Force Balance at the Spindle -- 5.13.3 Frequency Response from a Linearized Transfer Function Analysis -- 5.14 Servovalve Dynamics -- First-Stage, Armature, and Flapper-Nozzle -- Flapper-Nozzle and Resistance Bridge Flow Characteristic -- Force Balance at the Spool -- 5.15 An Open-Loop Servovalve-Motor Drive with Line Dynamics Modeled by Lumped Approximations -- Servovalve, Dynamics Included, Underlapped Spool -- Lines, Laminar Mean Flow, Two Lump Approximations per Line, Negligible Motor Internal Volume -- Motor Flow and Torque Equations -- 5.16 Transmission Line Dynamics -- 5.16.1 Introduction -- Servovalve-Cylinder with Short Lines and Significant Actuator Volumes -- Servovalve-Motor with Long Lines and Negligible Actuator Volumes -- 5.16.2 Lossless Line Model for Z and Y -- 5.16.3 Average and Distributed Line Friction Models for Z and Y -- 5.16.4 Frequency-Domain Analysis -- 5.16.5 Servovalve-Reflected Linearized Coefficients -- 5.16.6 Modeling Systems with Nonlossless Transmission Lines, the Modal Analysis Method -- 5.16.7 Modal Analysis Applied to a Servovalve-Motor Open-Loop Drive -- 5.17 The State-Space Method for Linear Systems Modeling -- 5.17.1 Modeling Principles -- 5.17.2 Some Further Aspects of the Time-Domain Solution -- 5.17.3 The Transfer Function Concept in State Space -- 5.18 Data-Based Dynamic Modeling -- 5.18.1 Introduction -- 5.18.2 Time-Series Modeling -- 5.18.3 The Group Method of Data Handling (GMDH) Algorithm -- 5.18.4 Artificial Neural Networks -- 5.18.5 A Comparison of Time-Series, GMDH, and ANN Modeling of a Second-Order Dynamic System -- 5.18.6 Time-Series Modeling of a Position Control System -- 5.18.7 Time-Series Modeling for Fault Diagnosis -- 5.18.8 Time-Series Modeling of a Proportional PRV -- 5.18.9 GMDH Modeling of a Nitrogen-Filled Accumulator.…”
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XIVth International Congress on Mathematical Physics : Lisbon, 28 July - 2 August 2003

Table of Contents: “…Quantum dynamical entropies and quantum algorithmic complexities / Fabio Benatti (U. Trieste). …”
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Advanced mathematical & computational tools in metrology & testing VIII

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An Update on Airway Management

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