Understanding aerodynamics arguing from the real physics by McLean, Doug, 1943-

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Digital Signal Processing : a breadth-first approach by Khan, Muhammad N.

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Construction project management : an integrated approach by Fewings, Peter

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Industry 4.0 and climate change

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RF and microwave circuit design : theory and applications by Free, Charles E., Aitchison, Colin S.

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Computer vision and imaging in intelligent transportation systems

Table of Contents: “…9.4 Sparse Representation Methods for Robust Video Anomaly Detection 236 -- 9.4.1 Structured Anomaly Detection 237 -- 9.4.2 Unstructured Video Anomaly Detection 243 -- 9.4.3 Experimental Setup and Results 245 -- 9.5 Conclusion and Future Research 253 -- Part II Imaging from and within the Vehicle 257 -- 10 Pedestrian Detection 259 -- Shashank Deshpande and Yang Cai -- 10.1 Introduction 259 -- 10.2 Overview of the Algorithms 259 -- 10.3 Thermal Imaging 260 -- 10.4 Background Subtraction Methods 261 -- 10.4.1 Frame Subtraction 261 -- 10.4.2 Approximate Median 262 -- 10.4.3 Gaussian Mixture Model 263 -- 10.5 Polar Coordinate Profile 263 -- 10.6 Image?…”
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Buenas Prácticas en la Educación Infantil by Madrid Vivar, Dolores

Table of Contents: “…Herramientas para una educación integral -- Capítulo 23 "Grafo-natura" una experiencia grafomotriz con todos los sentidos -- Capítulo 24 Tipología textual en infantil: una tarea multinivel planificada mediante el uso de organizadores gráficos -- Capítulo 25 La evolución de las matemáticas con el método ABN -- Capítulo 26 Abenizando nuestras clases -- Capítulo 27 Actividades experimentales para educación infantil -- Capítulo 28 La ciencia me atrae -- Capítulo 29 Las bandejas de experimentación como fuente de aprendizaje -- Capítulo 30 El cerebro infantil necesita arte: Joaquín Lobato, pintor y poeta -- Capítulo 31 Projeto poesia viva na viva infância: a obra de Manoel de Barros na educação infantil -- Capítulo 32 Total Physical Response (TPR) en el aprendizaje del inglés como segunda lengua. …”
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Principles of Statistical Genomics by Xu, Shizhong

Table of Contents: “….-  Maximum likelihood estimation -- EM algorithm -- EM algorithm under singular value decomposition -- Multiple siblings -- Estimating the IBD value for a marker -- Multipoint method for estimating the IBD value -- Genome scanning and hypothesis tests -- Multiple QTL model -- Complex pedigree analysis -- Mapping QTL for Multiple Traits -- Multivariate model -- EM algorithm for parameter estimation -- Hypothesis tests -- Variance matrix of estimated parameters -- Derivation of the EM algorithm -- Example -- Bayesian Multiple QTL Mapping -- Bayesian regression analysis -- Markov chain Monte Carlo -- Mapping multiple QTL -- Multiple QTL model -- Prior, likelihood and posterior -- Summary of the MCMC process -- Post MCMC analysis -- Alternative methods of Bayesian mapping -- Reversible jump MCMC -- Stochastic search variable selection -- Lasso and Bayesian Lasso -- Example: Arabidopsis data -- Empirical Bayesian QTL Mapping -- Classical mixed model -- Simultaneous updating for matrix G -- Coordinate descent method -- Block coordinate descent method -- Bayesian estimates of QTL effects -- Hierarchical mixed model -- Inverse chi-square prior -- Exponential prior -- Dealing with sparse models -- Infinitesimal model for whole genome sequence data -- Data trimming -- Concept of continuous genome -- Example: Simulated data -- Microarray Differential Expression Analysis -- Data preparation -- Data transformation -- Data normalization -- F-test and t-test -- Type I error and false discovery rate -- Selection of differentially expressed genes -- Permutation test -- Selecting genes by controlling FDR -- Problems of the previous methods -- Regularized t-test -- General linear model -- Fixed model approach -- Random model approach -- Hierarchical Clustering of Microarray Data -- Distance matrix -- UPGMA -- Neighbor joining -- Principle of neighbor joining -- Computational algorithm -- Other methods -- Bootstrap confidence -- Model-Based Clustering of Microarray Data -- Cluster analysis with the K-means method -- Cluster analysis under Gaussian mixture -- Multivariate Gaussian distribution -- Mixture distribution -- The EM algorithm -- Supervised cluster analysis -- Semi-supervised cluster analysis -- Inferring the number of clusters -- Microarray experiments with replications -- Gene Specific Analysis of Variances -- General linear model -- The SEM algorithm -- Hypothesis testing -- Factor Analysis of Microarray Data -- Background of factor analysis -- Linear model of latent factors -- EM algorithm -- Number of factors -- Cluster analysis -- Differential expression analysis -- MCMC algorithm -- Classification of Tissue Samples Using Microarrays -- Logistic regression -- Penalized logistic regression -- The coordinate descent algorithm -- Cross validation -- Prediction of disease outcome -- Multiple category classification -- Time-Course Microarray Data Analysis -- Gene expression profiles -- Orthogonal polynomial -- B-spline -- Mixed effect model -- Mixture mixed model -- EM algorithm -- Best linear unbiased prediction -- SEM algorithm -- Monte Carlo sampling -- SEM steps -- Quantitative Trait Associated Microarray Data Analysis -- Linear association -- Linear model -- Cluster analysis -- Three-cluster analysis -- Differential expres -- SEM algorithm -- MCMC algorithm -- Joint analysis of all markers -- Multiple eQTL model -- SEM algorithm -- MCMC algorithm -- Hierarchical evolutionary stochastic search (HESS).…”
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5G networks : fundamental requirements, enabling technologies, and operations management by Al-Dulaimi, Anwer, 1974-, Wang, Xianbin, I, Chih-Lin

Table of Contents: “…And Chih-Lin I 4.1 Introduction 135 4.2 Basic Principles and Advantages of NOMA 137 4.3 Power-Domain NOMA 142 4.4 Code-Domain NOMA 155 4.5 Other NOMA Schemes 170 4.6 Comparison and Trade-Off Analysis of NOMA Solutions 178 4.7 Performance Evaluations and Transmission Experiments of NOMA 181 4.8 Opportunities and Future Research Trends 185 4.9 Conclusions 189 References 189 5 Code Design for Multiuser MIMO 205 ; Guanghui Song, Yuhao Chi, Kui Cai, Ying Li, and Jun Cheng 5.1 Introduction 206 5.2 Multiuser Repetition-Aided IRA Coding Scheme 207 5.3 Iterative Decoding and EXIT Analysis 209 5.4 Code Optimization Procedure 217 5.5 Numerical Results and Comparisons 218 5.6 Conclusion 230 References 231 6 Physical Layer Techniques for 5G Wireless Security 237 ; Batu K. …”
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The Six Sigma way : how to maximize the impact of your change and improvement efforts by Pande, Peter S., Neuman, Robert P., Cavanagh, Roland R.

Table of Contents: “…Advanced Six Sigma Tools: An Overview -- Statistical Process Control, and Control Charts -- Tests of Statistical Significance (Chi-Square, t-test, ANOVA) -- Correlation and Regression Analysis -- Design of Experiments (DOE) -- Failure Modes and Effects Analysis (FMEA) -- Quality Function Deployment (QFD) -- D. …”
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Microservice Patterns and Best Practices : Explore patterns like CQRS and event sourcing to create scalable, maintainable, and testable microservices. by Pacheco, Vinicius Feitosa

Table of Contents: “…-- Understanding CQRS -- Advantages and disvantages of implementing CQRS -- Event sourcing -- data integrity -- State mutation -- Understanding event sourcing -- Summary -- Chapter 4: Microservice Ecosystem -- Separating containers -- Layered services architecture -- Separating UsersService -- Creating Dockerfile -- Using the containers -- Storage distribution -- Depreciating data -- Regionalizing data -- Bulkheads -- using the ecosystem against failures -- Designing for redundancy -- Partitioning by criticality -- Designing with isolation -- Fail fast -- Circuit breaker -- Summary -- Chapter 5: Shared Data Microservice Design Pattern -- Understanding the pattern -- Breaking a monolithic application into microservices -- Defining priorities -- Setting deadlines -- Defining the domain -- Making experiments -- Defining standards -- Creating a prototype -- Sending to production -- Developing new microservices -- Writing the microservice configuration file -- Creating our model -- Exposing the microservice data -- Preparing the app to run -- Creating the Dockerfile -- Dependencies with requirements.txt -- Data orchestration -- Consolidating responses -- Microservice communication -- Storage sharing anti-pattern -- Best practices -- Testing -- Pros and cons of the shared data pattern -- Summary -- Chapter 6: Aggregator Microservice Design Pattern -- Understanding the pattern -- Applying CQRS and event sourcing -- Separating the database -- Writing the CommandStack container -- Creating the news databases -- Writing the QueryStack container -- Refactoring the microservices -- Selecting our requirements -- Configuring the framework -- Configuring the container.…”
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Proceedings of the International Congress on Information and Communication Technology ICICT 2015, Volume 2

Table of Contents: “…A Novel Symmetric Key Cryptography Using Dynamic Matrix Approach -- Chapter 8. Experimenting Large Prime Numbers Generation in MPI Cluster -- Chapter 9. …”
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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Ridge regression -- LASSO regression -- Data clustering -- The K-means algorithm -- K-means implementation with Spark ML -- Data dimensionality reduction -- Singular value decomposition -- Matrix theory and linear algebra overview -- The important properties of singular value decomposition -- SVD with Spark ML -- The principal component analysis method -- The PCA algorithm using SVD -- Implementing SVD with Spark ML -- Content-based recommendation systems -- Frequently asked questions -- Summary -- Chapter 4: Neural Network for Big Data -- Fundamentals of neural networks and artificial neural networks -- Perceptron and linear models -- Component notations of the neural network -- Mathematical representation of the simple perceptron model -- Activation functions -- Sigmoid function -- Tanh function -- ReLu -- Nonlinearities model -- Feed-forward neural networks -- Gradient descent and backpropagation -- Gradient descent pseudocode -- Backpropagation model -- Overfitting -- Recurrent neural networks -- The need for RNNs -- Structure of an RNN -- Training an RNN -- Frequently asked questions -- Summary -- Chapter 5: Deep Big Data Analytics -- Deep learning basics and the building blocks -- Gradient-based learning -- Backpropagation -- Non-linearities -- Dropout -- Building data preparation pipelines -- Practical approach to implementing neural net architectures -- Hyperparameter tuning -- Learning rate -- Number of training iterations -- Number of hidden units -- Number of epochs -- Experimenting with hyperparameters with Deeplearning4j -- Distributed computing -- Distributed deep learning -- DL4J and Spark -- API overview -- TensorFlow -- Keras -- Frequently asked questions -- Summary -- Chapter 6: Natural Language Processing -- Natural language processing basics -- Text preprocessing -- Removing stop words -- Stemming -- Porter stemming.…”
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The Lost generation : children in the Holocaust

Table of Contents: “…Lieberman -- A deed of savagery: SS drives boys into the gas chambers / Leib Langfuss -- Dr. Mengele's inhuman experiments / Miklos Nyiszli -- An incomparable atrocity: story of a Piepel / Mordecai Shtrigler -- Changing "Piepels" / K. …”


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Professional swift by Dippery, Michael

Table of Contents: “…-- Working with Constants and Variables -- Understanding Swift Data Types -- Using Numerical Types -- Boolean Types -- Using Character Types -- Using Arrays -- Using Dictionaries -- Using Tuples -- Working with Type Annotations -- Minimizing Annotation with Type Inference -- Clarifying Code with Type Aliasing -- Working with Operators -- Using Basic Operators -- Using Compound Assignment Operators -- Using Overflow Operators -- Using Range Operators -- Using Logical Operators -- Using Comparison Operators -- Using Custom Operators -- Making Decisions with Control Flow -- Using Conditional Statements -- Using Loops -- Control Transfer Statements -- Grouping Types with Enumerations -- Working with Functions -- Declaring Functions -- Specifying Parameter Names -- Defining Default Parameters -- Specifying Variadic Parameters -- Specifying Constant, Variable, and In-Out Parameters -- Function Types -- Using Closures -- Summary -- Chapter 2: Writing a Swift Program -- Setting Up Xcode -- Downloading from Apple's Developer Portal -- Downloading Xcode -- Experimenting with Playgrounds -- Using Playgrounds in Xcode -- A Simple Example in Playground -- A More Exciting Playground Example -- Writing Swift in Xcode -- Creating a New Swift Project -- Creating the Swiftisms App -- Creating the Interface -- Creating Connections between the View Controller and the Object -- Connecting the Buttons and the Action -- Displaying Random Strings -- What Next? …”
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Fruit Fly Pests : A World Assessment of Their Biology and Management.

Table of Contents: “…STERILE INSECT TECHNIQUE AND SUPPORTING RESEARCH, Quality Control and SIT Field Testing with Genetic Sexing Mediterranean Fruit Fly Males, Problems Encountered During Long-Term SIT Programs in Japan, Implementation of Technical and Managerial Systems for Quality Control in Mediterranean Fruit Fly (Ceratitis capitata) Sterile Release Programs, Competitive Behavior of Males of Mediterranean Fruit Fly, Ceratitis capitata, Genetic Sexing Strain Vienna-42, Movement of Sterile Melon Flies in Okinawa, Japan, Ethological Analysis of Medfly Courtship: Potential for Quality Control, The Influence of Four Phenols on the Olive Fruit Fly, Artificial Selection Experiments in the Melon Fly: The Status Quo and Problems, Metamorphosis in the Mediterranean Fruit Fly, Ceratitis capitata, Quality Assessment of Mass-Reared Bactrocera zonata, Suppression of Mediterranean Fruit Fly Populations with SIT in Two Habitats: A Coffee Agroecosystem with a Braconid Parasitoid and a Forest with Scattered Patches of Understory Coffee, PART XI. …”
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Plant-microbial interactions and smart agricultural biotechnology

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Ignition : superior communication strategies for creating stronger connections by Moseley, Matthew L.

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Progress in HighEnergy Physics and Nuclear Safety by Begun, Viktor

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Pipelines 2011 a sound conduit for sharing solutions : proceedings of the Pipelines 2011 Conference : July 23-27, 2011, Seattle, Washington

Table of Contents: “…Understanding How Molecular Differences Influence Plastic Pipe Performance -- Analysis and Testing of a Prototype Jointing System for Bar-Wrapped Steel Cylinder Concrete Pressure Pipe -- Review of Performance of Gasketed Joints of Buried Concrete and Steel Pipelines in California after Recent Seismic Events -- Guidelines for Use of Mini-Horizontal Directional Drilling for Placement of High Density Polyethylene Pipe -- A Laboratory Method for Determining the Safe Pull Stress for Directionally Drilled High Density Polyethylene Pipe -- Planning and Building a Marine Outfall in a Sensitive Ecosystem : Lessons Learned -- Large Diameter Steel Pipe Design under Deep Water : Lake Travis Experience -- Answering the Question : Is a Surge Analysis Required? …”
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