

Автор: Williams Дата: 5 июня 2020 Просмотров: 1 705 

Peter Waller, Muluneh Yitayew  Irrigation and Drainage Engineering
+ Irragation and Drainage Excel Files
Springer, 2016
pdf, 747 pages, english
ISBN: 9783319056982
This textbook focuses specifically on the combined topics of irrigation and drainage engineering. It emphasizes both basic concepts and practical applications of the latest technologies available. The design of irrigation, pumping, and drainage systems using Excel and Visual Basic for Applications programs are explained for both graduate and undergraduate students and practicing engineers. The book emphasizes environmental protection, economics, and engineering design processes. It includes detailed chapters on irrigation economics, soils, reference evapotranspiration, crop evapotranspiration, pipe flow, pumps, openchannel flow, groundwater, center pivots, turf and landscape, drip, orchards, wheel lines, hand lines, surfaces, greenhouse hydroponics, soil water movement, drainage systems design, drainage and wetlands contaminant fate and transport. It contains summaries, homework problems, and color photos. The book draws from the fields of fluid mechanics, soil physics, hydrology, soil chemistry, economics, and plant sciences to present a broad interdisciplinary view of the fundamental concepts in irrigation and drainage systems design. 

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Автор: Williams Дата: 3 июня 2020 Просмотров: 2 065 

Mark Hudson Beale, Martin T. Hagan, Howard B. Demuth  MathWorks Matlab 2020a
Deep Learning Toolbox (Started Guide, Users Guide, Reference)
Neural Network Toolbox (Started Guide, Users Guide, Reference)
MathWorks, 2020
pdf, 5590 pages (146+2192+1412+136+558+1146), english
Deep Learning Toolbox provides a framework for designing and implementing deep neural networks with algorithms, pretrained models, and apps. You can use convolutional neural networks (ConvNets, CNNs) and long shortterm memory (LSTM) networks to perform classification and regression on image, timeseries, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically. The Experiment Manager app helps you manage multiple deep learning experiments, keep track of training parameters, analyze results, and compare code from different experiments. You can visualize layer activations and graphically monitor training progress. You can exchange models with TensorFlow and PyTorch through the ONNX format and import models from TensorFlowKeras and Caffe. The toolbox supports transfer learning with DarkNet53, ResNet50, NASNet, SqueezeNet and many other pretrained models. You can speed up training on a single or multipleGPU workstation (with Parallel Computing Toolbox), or scale up to clusters and clouds, including NVIDIA GPU Cloud and Amazon EC2 GPU instances (with MATLAB Parallel Server).
ANNs are a computational model used in computer science, built on a large series of simple neural units, called artificial neurons, which draw inspiration from the behavior observed in the axons of a human brain. Each neural unit is connected with many others, and such link defines the activation status of the adjacent neural units. Every single neural unit performs calculations using the summation function. The models based on ANNs are selflearning and training, rather than explicitly programmed, which his is particularly suitable in cases where the solution function is hard to express in a traditional computer program. The Neural Network Toolbox provides algorithms, pretrained models, and apps to create, train, visualize, and simulate neural networks with one hidden layer (called shallow neural network) and neural networks with several hidden layers (called deep neural networks). Through the use of the tools offered, we can perform classification, regression, clustering, dimensionality reduction, time series forecasting, and dynamic system modeling and control. Deep learning networks include convolutional neural networks (CNNs) and autoencoders for image classification, regression, and feature learning. For training sets of moderated sized, we can quickly apply deep learning by performing transfer learning with pretrained deep networks. To make working on large amounts of data faster, we can use the Parallel Computing Toolbox (another MATLAB toolbox) to distribute computations and data across multicore processors and GPUs on the desktop, and we can scale up to clusters and clouds with MATLAB Distributed Computing Server. 

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Автор: Williams Дата: 1 июня 2020 Просмотров: 792 

CCPS (Center for Chemical Process Safety)  Dealing with Aging Process Facilities and Infrastructure
Wiley, 2018
pdf, 198 pages, english
ISBN: 9781119430759
This book explores the many ways in which process facilities, equipment, and infrastructure might deteriorate upon continuous exposure to operating and climatic conditions. It covers the functional and physical failure modes for various categories of equipment and discusses the many warning signs of deterioration. Dealing with Aging Process Facilities and Infrastructure also explains how to deal with equipment that may not be safe to operate. The book describes a riskbased strategy in which plant leaders and supervisors can make more informed decisions on aging situations and then communicate them to upper management effectively. Additionally, it discusses the dismantling and safe removal of facilities that are approaching their intended lifecycle or have passed it altogether.
Filled with numerous case studies featuring photographs to illustrate the positive and negative experiences of others who have dealt with aging facilities, Dealing with Aging Process Facilities and Infrastructure covers the causes of equipment failures due to aging and their consequences; plant management commitment and responsibility; inspection and maintenance practices for managing life cycle; specific aging asset integrity management practices; and more.
 Describes symptoms and causal mechanisms of aging in various categories of process equipment.
 Presents key considerations for making informed riskbased decisions regarding the repair or replacement of aging process facilities and infrastructure.
 Discusses practices for managing process facility and infrastructure life cycle.
 Includes examples and case histories of failures related to aging.
Dealing with Aging Process Facilities and Infrastructure is an important book for industrial practitioners who are often faced with the challenge of managing process facilities and infrastructure as they approach the end of their useful lifecycle. 

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Автор: Williams Дата: 30 мая 2020 Просмотров: 736 

CCPS (Center for Chemical Process Safety)  Bow Ties in Risk Management: A Concept Book for Process Safety
Wiley, 2018
pdf, 198 pages, english
ISBN: 9781119490395
From a collaborative effort of the Center for Chemical Process Safety (CCPS) and the Energy Institute (EI) comes an invaluable book that puts the focus on a specific qualitative risk management methodology – bow tie barrier analysis. The book contains practical advice for conducting an effective bow tie analysis and offers guidance for creating bow tie diagrams for process safety and risk management. Bow Ties in Risk Management clearly shows how bow tie analysis and diagrams fit into an overall process safety and risk management framework.
Implementing the methods outlined in this book will improve the quality of bow tie analysis and bow tie diagrams across an organization and the industry. This important guide:
 Explains the proven concept of bow tie barrier analysis for the preventing and mitigation of incident pathways, especially related to major accidents.
 Shows how to avoid common pitfalls and is filled with realworld examples.
 Explains the practical application of the bow tie method throughout an organization.
 Reveals how to treat human and organizational factors in a sound and practical manner.
 Includes additional material available online.
Although this book is written primarily for anyone involved with or responsible for managing process safety risks, this book is applicable to anyone using bow tie risk management practices in other safety and environmental or Enterprise Risk Management applications. It is designed for a wide audience, from beginners with little to no background in barrier management, to experienced professionals who may already be familiar with bow ties, their elements, the methodology, and their relation to risk management.
The missions of both the CCPS and EI include developing and disseminating knowledge, skills, and good practices to protect people, property and the environment by bringing the best knowledge and practices to industry, academia, governments and the public around the world through collective wisdom, tools, training and expertise. The CCPS has been at the forefront of documenting and sharing important process safety risk assessment methodologies for more than 30 years. The EI's Technical Work Program addresses the depth and breadth of the energy sector, from fuels and fuels distribution to health and safety, sustainability and the environment. The EI program provides costeffective, valueadding knowledge on key current and future international issues affecting those in the energy sector. 

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Автор: Williams Дата: 28 мая 2020 Просмотров: 836 

F. Moukalled, L. Mangani, M. Darwish  The Finite Volume Method in Computational Fluid Dynamics
An Advanced Introduction with OpenFOAM and Matlab
Springer, 2016
pdf, 799 pages, english
ISBN: 9783319168739
This textbook explores both the theoretical foundation of the Finite Volume Method (FVM) and its applications in Computational Fluid Dynamics (CFD). Readers will discover a thorough explanation of the FVM numerics and algorithms used for the simulation of incompressible and compressible fluid flows, along with a detailed examination of the components needed for the development of a collocated unstructured pressurebased CFD solver. Two particular CFD codes are explored. The first is uFVM, a threedimensional unstructured pressurebased finite volume academic CFD code, implemented within Matlab. The second is OpenFOAM®, an open source framework used in the development of a range of CFD programs for the simulation of industrial scale flow problems.
With over 220 figures, numerous examples and more than one hundred exercise on FVM numerics, programming, and applications, this textbook is suitable for use in an introductory course on the FVM, in an advanced course on numerics, and as a reference for CFD programmers and researchers. 

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Автор: Williams Дата: 26 мая 2020 Просмотров: 1 788 

William Bajjali  ArcGIS for Environmental and Water Issues
Springer, 2019
pdf, 363 pages, english
ISBN: 9783319611570
This textbook is a stepbystep tutorial on the applications of Geographic Information Systems (GIS) in environmental and water resource issues. It provides information about GIS and its applications, specifically using the most advanced ESRI GIS technology and its extensions.
Eighteen chapters cover GIS applications in the field of earth sciences and water resources in detail from the ground up. Author William Bajjali explains what a GIS is and what it is used for, the basics of map classification, data acquisition, coordinate systems and projections, vectorization, geodatabase and relational database, data editing, geoprocessing, suitability modeling, working with raster, watershed delineation, mathematical and statistical interpolation, and more advanced techniques, tools and extensions such as ArcScan, Topology, Geocoding, Hydrology, Geostatistical Analyst, Spatial Analyst, Network Analyst, 3D Analyst. ArcPad, ESRI’s cuttingedge mobile GIS software, is covered in detail as well.
Each chapter contains concrete case studies and exercises – many from the author’s own work in the United States and Middle East. This volume is targeted toward advanced undergraduates, but could also be useful for professionals and for anyone who utilizes GIS or practices spatial analysis in relation to geology, hydrology, ecology, and environmental sciences. 

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Автор: Williams Дата: 24 мая 2020 Просмотров: 1 348 

Mario Paz, Young Hoon Kim  Structural Dynamics, Theory and Computation, Sixth Edition
Springer, 2019
pdf, 629 pages, english
ISBN: 9783319947426
The sixth edition of Structural Dynamics: Theory and Computation is the complete and comprehensive text in the field. It presents modern methods of analysis and techniques adaptable to computer programming clearly and easily. The book is ideal as a text for advanced undergraduates or graduate students taking a first course in structural dynamics. It is arranged in such a way that it can be used for a one or twosemester course, or span the undergraduate and graduate levels. In addition, this text will serve the practicing engineer as a primary reference.
The text differs from the standard approach of other presentations in which topics are ordered by their mathematical complexity. This text is organized by the type of structural modeling. The author simplifies the subject by presenting a single degreeoffreedom system in the first chapters, then moves to systems with many degreesoffreedom in the following chapters. Finally, the text moves to applications of the first chapters and special topics in structural dynamics.
This revised textbook intends to provide enhanced learning materials for students to learn structural dynamics, ranging from basics to advanced topics, including their application. When a linebyline programming language is included with solved problems, students can learn course materials easily and visualize the solved problems using a program. Among several programming languages, MATLAB® has been adopted by many academic institutions across several disciplines. Many educators and students in the U.S. and many international institutions can readily access MATLAB, which has an appropriate programming language to solve and simulate problems in the textbook. It effectively allows matrix manipulations and plotting of data. Therefore, multidegreeof freedom problems can be solved in conjunction with the finite element method using MATLAB. 

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Автор: Williams Дата: 22 мая 2020 Просмотров: 1 616 

B. S. Grewal  Numerical Methods in Engineering and Science: C, C++, and MATLAB
Mercury Learning and Information, 2019
pdf, 951 pages, english
ISBN: 9781683921288
This book is intended as an introduction to numerical methods for scientists and engineers. Providing an excellent balance of theoretical and applied topics, it shows the numerical methods used with C, C++, and MATLAB.
The limitations of analytical methods in practical applications have led scientists and engineers to evolve numerical methods. We know that exact methods often fail in drawing plausible inferences from a given set of tabulated data or in finding roots of transcendental equations or in solving nonlinear differential equations. There are many more such situations where analytical methods are unable to produce desirable results. Even if analytical solutions are available, these are not amenable to direct numerical interpretation.
The aim of numerical analysis is therefore, to provide constructive methods for obtaining answers to such problems in a numerical form.
With the advent of high speed computers and increasing demand for numerical solution to various problems, numerical techniques have become indispensible tools in the hands of engineers and scientists.
The input information is rarely exact since it comes from some measurement or the other and the method also introduces further error. As such, the error in the final result may be due to an error in the initial data or in the method or both. Our effort will be to minimize these errors, so as to get the best possible results. We therefore begin by explaining various kinds of approximations and errors which may occur in a problem and derive some results on error propagation in numerical calculations. 

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Автор: Williams Дата: 20 мая 2020 Просмотров: 1 036 

Laszlo Keviczky, Ruth Bars, Jeno Hetthessy, Csilla Banyasz 
Control Engineering & Control Engineering: MATLAB Exercises
Springer, 2019
pdf, 545+284 pages, english
ISBN: 9789811082962
ISBN: 9789811083204
This book offers fundamental information on the analysis and synthesis of continuous and sampled data control systems. It includes all the required preliminary materials (from mathematics, signals and systems) that are needed in order to understand control theory, so readers do not have to turn to other textbooks. Sampled data systems have recently gained increasing importance, as they provide the basis for the analysis and design of computercontrolled systems. Though the book mainly focuses on linear systems, input/output approaches and state space descriptions are also provided. Control structures such as feedback, feed forward, internal model control, state feedback control, and the Youla parameterization approach are discussed, while a closing section outlines advanced areas of control theory. Though the book also contains selected examples, a related exercise book provides Matlab/Simulink exercises for all topics discussed in the textbook, helping readers to understand the theory and apply it in order to solve control problems. Thanks to this combination, readers will gain a basic grasp of systems and control, and be able to analyze and design continuous and discrete control systems.
The MATLAB exercise book accompanies the textbook Control Engineering, providing a platform for students to practice problem solving in the analysis and design of continuous and discrete control problems reflected in the main textbook. The book starts off with a brief introduction to MATLAB, control toolbox and Simulink. Subsequent chapters include a short theoretical summary of the topic followed by exercises on solving complex problems using MATLAB commands. These exercises are ideal for students in computer laboratory classes. 

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Автор: Williams Дата: 16 мая 2020 Просмотров: 1 882 

Elliot Gindis, Robert Kaebisch  Up and Running with AutoCAD 2020 2D Drafting and Design
Academic Press, 2020
pdf, 557 pages, english
ISBN: 9780128198629
Up and Running with AutoCAD 2020 uses a combination of stepbystep instruction, examples and insightful explanations to emphasize core concepts and practical application of AutoCAD in engineering, architecture, and design. Equally useful in instructorled classroom training, selfstudy, or as a reference, the book is written with the user in mind by longtime professional AutoCAD instructors based on what works in the industry and the classroom. The book focuses on 2D drafting and design, making it more appropriate for a onesemester course.
Key Features
 Strips away complexities and reduces learning AutoCAD to easytounderstand concepts
 Teaches the essentials of AutoCAD first, immediately building student confidence
 Provides all basic commands documented stepbystep: What the student inputs and how AutoCAD responds is spelled out in discrete and clear steps with numerous screenshots
 Presents extensive supporting graphics and a summary with a selftest section and topic specific drawing exercises at the end of each chapter
 Covers the essentials of 2D AutoCAD, updated for the 2020 release


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