Euan Russano

The book introduces data processing and reconciliation along with process monitoring as integral components of overall control system architecture. This book is packed with the most important methods and practical information used for the design of digital controls implemented in industrial applications to engineers and technicians unfamiliar with control techniques, providing an understanding of how to actually apply control in a real industrial environment.

Fundamentals of Machine Learning discusses the basics of python, use of python in computing and provides a general outlook on machine learning. This book provides an insight into concepts such as linear regression with one variable, linear algebra, and linear regression with multiple inputs. The classification with logistics regression model, regularization, neural networks, decision trees are explained in this book. The introduction to several concepts of machine learning such as component analysis, classification using k-Nearest Algorithm, k Means Clustering, computing with Tensor flow and natural language processing have been explained. This book explains the fundamental concepts of machine learning.

Chemical and Biochemical Processes examines various aspects of processes including both chemical and biochemical, along with an extensive overview of concepts and principles. It includes definitions of systems theory, chemical industrial process, conversion, yield, and costs, types of processes, engineering calculations, and modelling principles. Provides the reader with insights into the development of its history, so as to understand the Modeling Storage Tank and Development of a Simple Python Process Simulator, reactors and distillation processes like flash distillation and example on Chemical and Biochemical Processes.

Computational Fluid Mechanics and Dynamics for Scientists examines various aspects of fluid mechanics and dynamics including an extensive historical overview of fluid mechanics, dynamics and related issues. It includes Fluid Statics, Basic Equations of Fluid Mechanics - Principles and Continuity Equation, Basic Equations of Fluid Mechanics – Momentum, Fluid Momentum and Pressure Drop, Introduction to Computational Fluid Dynamics and Simulation. Provides the reader with insights into the development of its history, so as to understand the computational fluid mechanics and dynamics for scientists.

This book shows the application of OOP technique using C , Java, Python and Matlab. These languages stand among the most popular ones to solve scientific problems, especially the numerical ones. The main audience of this book is mathematics, biology, physics and engineering students interested in acquiring more knowledge in scientific computing by using object-oriented programming (OOP).

The intent of this book is to provide the reader a basic knowledge over some principles in the field of hydroinformatics. Each chapter provides some insight over common concepts in the area, and some examples clarify the application of the developed concepts.The book contains Two Sections and is divided into 18 chapters. Section One covers 13 Chapters and Chapters 14-18 are covered in Section Two.The first chapter provides a brief introduction to the usefulness of hydroinformatics as an applied science. It also gives some insight on the integration between hydroinformatics and society, how one exchange information with the other, additionally how hydroinformatics is beneficial to the society is a whole.The second chapter gives an overview of how the management of watershed interacts between the management teams, government agencies and the society. We also mention common issues that should be addressed when planning and operating water systemsIn the third chapter, the issue of data acquiring and processing is addressed. Some common techniques and instrumentation to collect data from rainfall, wind, temperature and terrain are presented, as well as some advantages and disadvantages of common techniques.Chapter 4 introduces modelling techniques of the area, and common mathematical methods used for different models. Special attention is given at the beginning of the chapter to the UML (Unified Modelling Language) framework, as a potential tool for the development of models.Chapters 5 and 6 give an introduction into two common modelling approaches in the field of hydroinformatics. Water quantities in a river, lake or groundwater reservoir can be predicted in relation in relation to its movement in the surface from one point to the other (flow routing), or to the amount of evaporation, transpiration and rainfall (rainfall-runoff). Some common modelling techniques are mentioned, and applied examples clarifies some cases.In chapter 7 the modelling of dams is presented. Some common structures and instrumentations are mentioned, with their specific properties and applications, as well as some examples.Chapters 8 and 9 are related to the presence of other materials in a water system. If it is necessary to know how the material is transported in the water system, then the focus is the Sediment Transport Modelling (Section 8). On the other hand, if the focus is how the material contaminates the water system and changes its use, for instance from drinking water to a degraded system, then water quality modelling (Section 9) is an useful tool to be applied.Data-based modelling is presented in chapters 10, 11 and 12. While section 10 just gives a brief introduction of what actually is the data-based modelling technique, section 11 shows the application of some linear models, while section 1^2 deals with some common non-linear techniques, some of them still in a very early stage of development. Suggestions for a deeper understanding of some concepts in the area is addressed in chapter 13.Chapters 14-17 bring together research studies and papers, which illustrate some of the developments and applications in the field of hydroinformatics and also give a way forward for future research and application.