Tabla de Contenidos: “…Varieties of Toxic Responses -- Metabolism of Chemical Carcinogens -- Effects on the Immune System -- SUMMARY -- SUMMARY OF RESEARCH RECOMMENDATIONS -- ACKNOWLEDGMENTS -- References -- Transport and Uptake of Inhaled Gases -- IMPLICATIONS OF LUNG ANATOMY -- Upper Airways -- Conducting Airways -- Respiratory Zone -- Nonuniformities in Ventilation and Perfusion -- FUNDAMENTALS OF MASS TRANSPORT -- Thermodynamic Equilibria -- Diffusion and Reaction Rates -- Individual Mass Transfer Coefficients -- Overall Mass Transfer Coefficients -- Longitudinal Gas Transport -- MATHEMATICAL MODELS -- Compartment Models -- Distributed-Parameter Upper Airway Models -- Distributed-Parameter Lower Airway Models -- EXPERIMENTS -- In Vitro Methods -- In Vivo Animal Experiments -- In Vivo Human Subject Studies -- SUMMARY -- SUMMARY OF RESEARCH RECOMMENDATIONS -- ACKNOWLEDGMENT -- References -- Dosimetry Modeling of Inhaled Toxic Reactive Gases -- APPLICATIONS OF DOSIMETRY MODELING -- ANATOMICAL, PHYSIOLOGICAL, AND CHEMICAL CONSIDERATIONS -- Anatomical Models -- Liquid Lining of the Respiratory Tract -- Lung Tissue and Blood -- PHYSICAL AND CHEMICAL FACTORS AFFECTING ABSORPTION OF REACTIVE GASES -- Solubility -- Molecular Diffusion -- Convection in Respiratory Tract Fluids -- Chemical Reactions -- DOSIMETRY MODELING -- Upper Respiratory Tract and Total Respiratory Tract Models -- Lower Respiratory Tract Models -- Influence of Anatomical and Physiological Factors -- Influence of Physicochemical Factors -- Importance of Experimental Data -- SUMMARY -- SUMMARY OF RESEARCH RECOMMENDATIONS -- References -- Part III: Biological Effects -- Epidemiologic Studies of Effects of Oxidant Exposure on Human Populations -- ROLE OF EPIDEMIOLOGY IN AIR POLLUTION RESEARCH -- PRIOR AND ONGOING STUDIES-DESIGNS, FINDINGS, AND PROBLEMS -- Cross-Sectional Studies of Pulmonary Function and Symptoms…”

Tabla de Contenidos: “…In order to guarantee fundamental freedoms and fluid state-to-state relations, France's scheme on the transparency of foreign influence activities may include a list of legitimate exemptions -- 3.3. …”

“…Vivimos en un mundo inmerso en el flujo infinito de imágenes sin control aparente. …”

Tabla de Contenidos: “…Elaboración del estado de flujos de efectivo consolidado -- 6.6. Notas finales sobre consolidación -- Capítulo 7. …”

Tabla de Contenidos: “…-- 4.1.1 Espionaje entre economías privadas -- 4.1.2 Contrainteligencia ante operaciones de un sistema de espionaje industrial -- 4.2 La ingeniería social en el espionaje industrial -- 4.2.1 Manejo de los datos e información, considerando la operatividad de la ingeniería social -- 4.2.2 Manejo del sistema de simulación como mecanismo de obtención de estrategias en el espionaje industrial -- 4.3 Dinámica de la simulación de datos para la creación de redes estratégicas -- 4.3.1 Información de flujo de entrada para el constructor de espionaje industrial -- 4.3.2 La seguridad de las variables del objeto es la protección más factible hacia la fuga de la información -- 4.4 Riesgo en la dinámica tecnológica para la sustracción de datos -- 4.4.1 El riesgo de IP (protocolo de informática), inalámbricas y hotspots, bluetooth -- 4.4.2 La tecnología en manos de un blanco identificable…”

Tabla de Contenidos: “…UNA MARINERÍA AL SERVICIO DEL REY -- 2. NAVÍOS ARMABLES O FLOTA EN PRESENCIA. UN DEBATE ABIERTO -- 3. HABILIDAD MARINERA -- 4. …”

Tabla de Contenidos: “…Livestrong Foundation (Austin, Texas, USA) ; Shangri-La Botanical Gardems and Nature Center (Orange, Texas, USA) / Lake Flato. Gervasutti Refuge, Mont Blanc (Courmayeur, Italy) / Leapfactory. …”

Tabla de Contenidos: “…2.9 Continuity Equation -- 2.10 Reynolds' Transport Theorem -- 2.11 Examples of Deformation -- Planar Displacement -- Extension and Stretch -- Shear Deformation -- 2.12 Geometry Concepts -- Problems -- Chapter 3 Forces and Stresses -- 3.1 Equilibrium of Forces -- 3.2 Transformation of Stresses -- 3.3 Equations of Equilibrium -- 3.4 Symmetry of the cauchy Stress Tensor -- Principal Stresses -- 3.5 Virtual Work of the Forces -- Tensor Double Product (Contraction) -- Volume Change -- Virtual Work -- Other Stress Measures -- First and Second Piola-Kirchhoff Stress Tensors -- Notation and Procedure -- Surface Forces -- Total and Updated Lagrangian Formulations -- Physical Interpretation -- 3.6 Deviatoric Stresses -- 3.7 Stress Objectivity -- Stress Rate -- Truesdell Stress Rate o -- Oldroyd and Convective Stress Rates o and o -- Green-Naghdi Stress Rate -- Jaumann Stress Rate -- 3.8 Energy Balance -- Problems -- Chapter 4 Constitutive Equations -- 4.1 Generalized Hooke's Law -- 4.2 Anisotropic Linearly Elastic Materials -- 4.3 Material Symmetry -- Reflection -- Rotations -- 4.4 Homogeneous Isotropic Material -- Poisson Effect and Locking -- Stress and Strain Invariants -- Plane-Stress and Plane-Strain Problems -- Finite Dimensional Model -- Generalized Elastic Forces -- Homogeneous Displacement -- 4.5 Principal Strain Invariants -- 4.6 Special Material Models for Large Deformations -- Compressible Neo-Hookean Material Models -- Incompressible Mooney-Rivlin Materials -- Objectivity -- 4.7 Linear Viscoelasticity -- One-Dimensional Model -- Other Viscoelastic Models -- Generalization -- Elastic Energy and Dissipation -- Another Form of the Viscoelastic Equations -- Three-Dimensional Linear Viscoelasticity -- 4.8 Nonlinear Viscoelasticity -- Another Model -- 4.9 A Simple Viscoelastic Model for Isotropic Materials -- 4.10 Fluid Constitutive Equations…”

Tabla de Contenidos: “…Importing assets -- Importing assets from the internet -- Importing assets from the Asset Store -- Integrating assets -- Integrating terrain textures -- Integrating meshes -- Integrating textures -- Configuring assets -- Configuring meshes -- Configuring textures -- Assembling the scene -- Summary -- Section 2 - Improving Graphics and Sound -- Chapter 6: Materials and Effects with URP and Shader Graph -- Introducing shaders -- Shader pipeline -- The Render Pipeline and URP -- URP's Built-in Shaders -- Creating Shaders with Shader Graph -- Creating our first Shader Graph -- Using textures -- Combining Textures -- Applying transparency -- Creating Vertex Effects -- Summary -- Chapter 7: Visual Effects with Particle Systems and Visual Effect Graph -- Introduction to particle systems -- Creating a basic particle system -- Using advanced modules -- Creating fluid simulations -- Creating a waterfall effect -- Creating a bonfire effect -- Creating complex simulations with Visual Effect Graph -- Installing Visual Effect Graph -- Creating and analyzing a Visual Effect Graph -- Creating a rain effect -- Summary -- Chapter 8: Lighting Using the Universal Render Pipeline -- Applying lighting -- Discussing lighting methods -- Configuring ambient lighting with skyboxes -- Configuring lighting in URP -- Applying shadows -- Understanding shadow calculations -- Configuring performant shadows -- Optimizing lighting -- Understanding static lighting -- Baking lightmaps -- Applying static lighting to static objects -- Summary -- Chapter 9: Fullscreen Effects with Postprocessing -- Using PostProcessing -- Setting up a profile -- Using basic effects -- Using advanced effects -- Advanced effects -- Summary -- Chapter 10: Sound and Music Integration -- Importing audio -- Audio types -- Configuring the import settings -- Integrating and mixing audio…”

Tabla de Contenidos: “…- Tim Züwerink -- 8 Digitale Gesundheit - Fluch oder Segen? - Volker Penter und Kevin Pfaffner -- 9 Daten - Führt der Weg über Blockchain zu Big Data? …”

Tabla de Contenidos: “…The REBIND Utility -- Flushing the Package Cache Utility -- The ADMIN_CMD () procedure -- Summary -- Practice questions -- Answers -- Chapter 7: High Availability -- Transactions and logging parameters -- Transaction logging strategies -- Database recovery methods -- Backup and recovery -- The Db2 backup utility -- Incremental and delta backups -- A word about hardware accelerated backup -- The Db2 restore utility -- The Db2 roll-forward utility -- The Db2 recover utility -- A word about the db2relocatedb command -- High availability and disaster recovery -- HADR synchronization modes -- HADR-specific parameters -- Setting up an HADR multiple standby environment -- A word about the Db2 HA instance configuration utility (db2haicu) -- Activating the RoS feature -- Db2 pureScale architecture -- Geographically dispersed Db2 pureScale db2cluster (GDPC) -- Db2 pureScale db2cluster service command options -- Explicit Hierarchical Locking -- Summary -- Practice questions -- Answers -- Chapter 8: Db2 Security -- Authentication and authorization -- Authorities and privileges -- Authorities -- The system administrative authority (SYSADM) -- The system control authority (SYSCTRL) -- The system maintenance authority (SYSMAINT) -- The system monitor authority (SYSMON) -- The database administrator authority (DBADM) -- The security administrator authority (SECADM) -- The SQL administrator (SQLADM) authority -- The workload management administrator authority (WLMADM) -- The Explain administrator authority (EXPLAIN) -- The Access control administrator authority (ACCESSCTRL) -- The data access administrator authority (DATAACCESS) -- The data load (LOAD) authority -- Privileges -- LDAP-based authentication -- Role-based access control -- Trusted context and trusted connections -- Row and column access control (RCAC) -- Row permissions -- Column masks…”

Tabla de Contenidos: “…Chapter 12 Hybrid Aircraft Aerodynamics and Aerodynamic Design Considerations of Hover-to-Dash Convertible UAVs -- 12.1 Why Hover-to-Dash Conversion is Important -- 12.2 Aircraft Mission Profiles and Sizing Chart Structure -- 12.3 Convertible Coleopter Design, Wind Tunnel and Flight Testing -- 12.4 Future: Convertible QuadCopter Design and Flight Testing -- 12.5 The Extreme: Hover-to-Supersonic Dash Aircraft -- References -- PART II Novel Concepts in Unmanned Aircraft Flight Stability and Control -- 2.1 Fixed-wing (airplanes) -- Chapter 13 Closed-loop Active Flow Control for UAVs -- 13.1 Introduction -- 13.2 Objectives -- 13.3 Actuators -- 13.4 Linear System -- 13.5 Plant Model Identification -- 13.6 Controller Architecture -- 13.7 Conclusions -- Acknowledgement -- References -- Chapter 14 Autonomous Gust Alleviation in UAVs -- 14.1 Introduction -- 14.2 The Composite Spar -- 14.3 The Energy-harvesting and Storage Component -- 14.4 Reduced Energy Control Law -- 14.5 Gust Modelling -- 14.6 Experimental Validation -- 14.7 Performance -- 14.8 Other Considerations -- 14.9 Summary and Discussion -- Acknowledgement -- References -- Chapter 15 Virtual Flight Simulation using Computational Fluid Dynamics -- 15.1 Introduction -- 15.2 Aerodynamic Model for Flight Simulation -- 15.3 Generation of Tabular Aerodynamic Model -- 15.4 Time-accurate CFD for Flight Simulations -- 15.5 Conclusions -- References -- Chapter 16 Flow Structure Modification Using Plasma Actuation for Enhanced UAV Flight Control -- 16.1 Introduction -- 16.2 Aerodynamic Flow Control -- 16.3 Plasma Actuators -- 16.4 Dielectric Barrier Discharge -- 16.5 Experimental Setup -- 16.6 Results and Analysis -- 16.7 Conclusions -- Acknowledgments -- References -- Chapter 17 Constrained Motion Planning and Trajectory Optimization for Unmanned Aerial Vehicles -- 17.1 Introduction…”

Tabla de Contenidos: “…Machine generated contents note: Preface Introduction I Fundamentals of Multivariate Statistical Process Control 1 Motivation for Multivariate Statistical Process Control 1.1 Summary of Statistical Process Control 1.1.1 Roots and Evolution of Statistical Process Control 1.1.2 Principles of Statistical Process Control 1.1.3 Hypothesis Testing, Type I and II errors 1.2 Why Multivariate Statistical Process Control 1.2.1 Statistically Uncorrelated Variables 1.2.2 Perfectly Correlated Variables 1.2.3 Highly Correlated Variables 1.2.4 Type I and II Errors and Dimension Reduction 1.3 Tutorial Session 2 Multivariate Data Modeling Methods 2.1 Principal Component Analysis 2.1.1 Assumptions for Underlying Data Structure 2.1.2 Geometric Analysis of Data Structure 2.1.3 A Simulation Example 2.2 Partial Least Squares 2.2.1 Assumptions for Underlying Data Structure 2.2.2 Deflation Procedure for Estimating Data Models 2.2.3 A Simulation Example 2.3 Maximum Redundancy Partial Least Squares 2.3.1 Assumptions for Underlying Data Structure 2.3.2 Source Signal Estimation 2.3.3 Geometric Analysis of Data Structure 2.3.4 A Simulation Example 2.4 Estimating the Number of Source Signals 2.4.1 Stopping Rules for PCA Models 2.4.2 Stopping Rules for PLS Models 2.5 Tutorial Session 3 Process Monitoring Charts 3.1 Fault Detection 3.1.1 Scatter Diagrams 3.1.2 Nonnegative Quadratic Monitoring Statistics 3.2 Fault Isolation and Identification 3.2.1 Contribution Charts 3.2.2 Residual-Based Tests 3.2.3 Variable Reconstruction 3.3 Geometry of Variable Projections 3.3.1 Linear Dependency of Projection Residuals 3.3.2 Geometric Analysis of Variable Reconstruction 3.4 Tutorial Session II Application Studies 4 Application to a Chemical Reaction Process 4.1 Process Description 4.2 Identification of a Monitoring Model 4.3 Diagnosis of a Fault Condition 5 Application to a Distillation Process 5.1 Process Description 5.2 Identification of a Monitoring Model 5.3 Diagnosis of a Fault Condition III Advances in Multivariate Statistical Process Control 6 Further Modeling Issues 6.1 Accuracy of Estimating PCA Models 6.1.1 Revisiting the Eigendecomposition of Sz0z0 6.1.2 Two Illustrative Examples 6.1.3 Maximum Likelihood PCA for Known Sgg 6.1.4 Maximum Likelihood PCA for Unknown Sgg 6.1.5 A Simulation Example 6.1.6 A Stopping Rule for Maximum Likelihood PCA Models 6.1.7 Properties of Model and Residual Subspace Estimates 6.1.8 Application to a Chemical Reaction Process - Revisited 6.2 Accuracy of Estimating PLS Models 6.2.1 Bias and Variance of Parameter Estimation 6.2.2 Comparing Accuracy of PLS and OLS Regression Models 6.2.3 Impact of Error-in-Variables Structure upon PLS Models 6.2.4 Error-in-Variable Estimate for Known See 6.2.5 Error-in-Variable Estimate for Unknown See 6.2.6 Application to a Distillation Process - Revisited 6.3 Robust Model Estimation 6.3.1 Robust Parameter Estimation 6.3.2 Trimming Approaches 6.4 Small Sample Sets 6.5 Tutorial Session 7 Monitoring Multivariate Time-Varying Processes 7.1 Problem Analysis 7.2 Recursive Principal Component Analysis 7.3 MovingWindow Principal Component Analysis 7.3.1 Adapting the Data Correlation Matrix 7.3.2 Adapting the Eigendecomposition 7.3.3 Computational Analysis of the Adaptation Procedure 7.3.4 Adaptation of Control Limits 7.3.5 Process Monitoring using an Application Delay 7.3.6 MinimumWindow Length 7.4 A Simulation Example 7.4.1 Data Generation 7.4.2 Application of PCA 7.4.3 Utilizing MWPCA based on an Application Delay 7.5 Application to a Fluid Catalytic Cracking Unit 7.5.1 Process Description 7.5.2 Data Generation 7.5.3 Pre-analysis of Simulated Data 7.5.4 Application of PCA 7.5.5 Application of MWPCA 7.6 Application to a Furnace Process 7.6.1 Process Description 7.6.2 Description of Sensor Bias 7.6.3 Application of PCA 7.6.4 Utilizing MWPCA based on an Application Delay 7.7 Adaptive Partial Least Squares 7.7.1 Recursive Adaptation of Sx0x0 and Sx0y0 7.7.2 MovingWindow Adaptation of Sv0v0 and Sv0y0 7.7.3 Adapting The Number of Source Signals 7.7.4 Adaptation of the PLS Model 7.8 Tutorial Session 8 Monitoring Changes in Covariance Structure 8.1 Problem Analysis 8.1.1 First Intuitive Example 8.1.2 Generic Statistical Analysis 8.1.3 Second Intuitive Example 8.2 Preliminary Discussion of Related Techniques 8.3 Definition of Primary and Improved Residuals 8.3.1 Primary Residuals for Eigenvectors 8.3.2 Primary Residuals for Eigenvalues 8.3.3 Comparing both Types of Primary Residuals 8.3.4 Statistical Properties of Primary Residuals 8.3.5 Improved Residuals for Eigenvalues 8.4 Revisiting the Simulation Examples in Section 8.1 8.4.1 First Simulation Example 8.4.2 Second Simulation Example 8.5 Fault Isolation and Identification 8.5.1 Diagnosis of Step-Type Fault Conditions 8.5.2 Diagnosis of General Deterministic Fault Conditions 8.5.3 A Simulation Example 8.6 Application Study to a Gearbox System 8.6.1 Process Description 8.6.2 Fault Description 8.6.3 Identification of a Monitoring Model 8.6.4 Detecting a Fault Condition 8.7 Analysis of Primary and Improved Residuals 8.7.1 Central Limit Theorem 8.7.2 Further Statistical Properties of Primary Residuals 8.7.3 Sensitivity of Statistics based on Improved Residuals 8.8 Tutorial Session IV Description of Modeling Methods 9 Principal Component Analysis 9.1 The Core Algorithm 9.2 Summary of the PCA Algorithm 9.3 Properties of a PCA Model 10 Partial Least Squares 10.1 Preliminaries 10.2 The Core Algorithm 10.3 Summary of the PLS Algorithm10.4 Properties of PLS 10.5 Properties of Maximum Redundancy PLS References Index…”

Tabla de Contenidos: “…封 -- 异步社区电子书 -- 版权声明 -- 内容提 -- 序 -- 简介 -- 前 -- 作 简介 -- 审 简介 -- 目录 -- 第1 章Hadoop 分布式文件系统-导入和导出数据 -- 1.1 介绍 -- 1.2 使用Hadoop shell 命令导入和导出数据到HDFS -- 1.3 使用distcp 实现 群 数据复制 -- 1.4 使用Sqoop 从MySQL 数据库导入数据到HDFS -- 1.5 使用Sqoop 从HDFS 导出数据到MySQL -- 1.6 置Sqoop 以支持SQL Server -- 1.7 从HDFS 导出数据到MongoDB -- 1.8 从MongoDB 导入数据到HDFS -- 1.9 使用Pig 从HDFS 导出数据到MongoDB -- 1.10 在Greenplum 外 中使用HDFS -- 1.11 利用Flume 加 数据到HDFS 中 -- 第2 章HDFS -- 2.1 介绍 -- 2.2 写HDFS 数据 -- 2.3 使用LZO 压缩数据 -- 2.4 写序列化文件数据 -- 2.5 使用Avro 序列化数据 -- 2.6 使用Thrift 序列化数据 -- 2.7 使用Protocol Buffers 序列化数据 -- 2.8 置HDFS 备份因子 -- 2.9 置HDFS 块大小 -- 第3 章抽取和 换数据 -- 3.1 介绍 -- 3.2 使用MapReduce 将Apache 日志 换为TSV 格式 -- 3.3 使用Apache Pig 滤网络服务器日志中的爬 -- 3.4 使用Apache Pig 根据时 戳对网络服务器日志数据排序 -- 3.5 使用Apache Pig 对网络服务器日志 会 分析 -- 3.6 Python 扩展Apache Pig 的功 -- 3.7 使用MapReduce 及二次排序 算 -- 3.8 使用Hive 和Python 清洗、 换地理事件数据 -- 3.9 使用Python 和Hadoop Streaming 执 时 序列分析 -- 3.10 在MapReduce中利用MultipleOutputs 出多个文件 -- 3.11 创建用户 定义的Hadoop Writable 及InputFormat 取地理事件数据 -- 第4 章使用Hive、Pig 和MapReduce 处理常 的任务 -- 4.1 介绍 -- 4.2 使用Hive 将HDFS 中的网络日志数据映射为外 -- 4.3 使用Hive 动态地为网络日志查 结果创建Hive -- 4.4 利用Hive 字符串UDF 拼接网络日志数据的各个字段 -- 4.5 使用Hive 截取网络日志的IP 字段并确定其对应的国家 -- 4.6 使用MapReduce 对新 档案数据生成n-gram -- 4.7 MapReduce 使用分布式缓存查找新 档案数据中包含关 的 -- 4.8 使用Pig 加 一个 并执 包含GROUP BY 的SELECT操作 -- 第5 章 级 接操作 -- 5.1 介绍 -- 5.2 使用MapReduce 对数据 接 -- 5.3 使用Apache Pig 对数据 复制 接 -- 5.4 使用Apache Pig 对有序数据 归并 接 -- 5.5 使用Apache Pig 对倾斜数据 倾斜 接 -- 5.6 在Apache Hive 中 map 端 接对地理事件 分析 -- 5.7 在Apache Hive 优化的全外 接分析地理事件数据 -- 5.8 使用外 值存储 Redis 接数据 -- 第6 章大数据分析 -- 6.1 介绍 -- 6.2 使用MapReduce 和Combiner 统 网络日志数据 中的独立IP 数 -- 6.3 用Hive 日期UDF 对地理事件数据 中的时 日期 换与排序 -- 6.4 使用Hive 创建基于地理事件数据的每月死亡报告 -- 6.5 实现Hive 用户 定义UDF 用于确 地理事件数据的来源可 性 -- 6.6 使用Hive 的map/reduce 操作以及Python 标 最 的无暴力发生的时 区 -- 6.7 使用Pig 算Audioscrobbler 数据 中 术家之 的余弦相似度 -- 6.8 使用Pig 以及datafu 剔 Audioscrobbler 数据 中的离群值…”