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Micro-Electro-Mechanical-Systems (MEMS) sensors constitute perhaps the most exciting technology of our age. The present effort incorporates all the information needed byscientists and engineers who work on research projects and/or product systems, which apply to air pressure acquisition and to its rearrangement into altitude data. Some of the potential implementations of this method (regularly referred to as barometric altimetry) include, but are not limited to, Position Location Application, Navigation Systems, Clinical Monitoring Applications, and Aircraft Instrumentation. This book holds the key to such applications, providing readers with the theoretical basis as well as the practical perspective of the subject matter. At first, the reader is introduced to the background theory, methods, and applications of barometric altimetry. Thereafter, the book incorporates the development of wireless barometers and a (real time monitoring) wireless sensor network system for scheduling low-cost experimental observations. Finally, a deepened understanding to the analysis procedure of pressure measurements (using Matlab script code) is performed.
Micro-Electro-Mechanical-Systems (MEMS) sensors constitute perhaps the most exciting technology of our age. The present effort incorporates all the information needed by scientists and engineers who work on research projects and/or product systems, which apply to air pressure acquisition and to its rearrangement into altitude data. Some of the potential implementations of this method (regularly referred to as barometric altimetry) include, but are not limited to, Position Location Application, Navigation Systems, Clinical Monitoring Applications, and Aircraft Instrumentation. This book holds the key to such applications, providing readers with the theoretical basis as well as the practical perspective of the subject matter. At first, the reader is introduced to the background theory, methods, and applications of barometric altimetry. Thereafter, the book incorporates the development of wireless barometers and a (real-time monitoring) wireless sensor network system for scheduling low-cost experimental observations. Finally, a deepened understanding to the analysis procedure of pressure measurements (using Matlab script code) is performed. Some accompanying material can be found at http://bit.ly/mems-files.
Microcontroller Prototypes with Arduino and a 3D Printer Discover a complete treatment of microcomputer programming and application development with Arduino and 3D printers Microcontroller Prototypes with Arduino and a 3D Printer: Learn, Program, Manufacture delivers a comprehensive guide to learning microcontrollers that’s perfectly suited to educators, researchers, and manufacturers. The book provides readers with a seasoned expert’s perspective on the process of microcomputer programming and application development. Carefully designed and written example code and explanatory figures accompany the text, helping the reader fully understand and retain the concepts described within. The book focuses on demonstrating how to craft creative and innovative solutions in embedded systems design by providing practical and illustrative methods and examples. An accompanying website includes functioning and tested source code and learning exercises and the book relies on freeware development tools for the creation of firmware and software code, 3D printed enclosures, and debugging. It allows the reader to work with modern sensors and collect sensor data to a host PC for offline analysis. Readers will also benefit from the inclusion of: A thorough introduction to the art of embedded computers, including their interdisciplinarity, TPACK analysis, and the impact of microcontroller technology on the maker industry An exploration of embedded programming with Arduino, including number representation and special-function codes and C common language reference A discussion of hardware interfaces with the outside world, including digital pin interface, analog pin interface, UART serial interface, I2C, and SPI A treatment of sensors and data acquisition, including environmental measurements with Arduino Uno, orientation and motion detection with Teensy, gesture recognition with TinyZero, and color sensing with Micro:bit A variety of supplementary resources—including source codes and examples—hosted on an accompanying website to be maintained by the author: www.mikroct.com. Perfect for researchers and undergraduate students in electrical and electronic engineering or computer engineering, Microcontroller Prototypes with Arduino and a 3D Printer: Learn, Program, Manufacture will also earn a place in the libraries of hardware engineers, embedded system designers, system engineers, and electronic engineers.
In this book, the global sequential scenario of bifurcation trees of periodic motions to chaos in nonlinear dynamical systems is presented for a better understanding of global behaviors and motion transitions for one periodic motion to another one. A 1-dimensional (1-D), time-delayed, nonlinear dynamical system is considered as an example to show how to determine the global sequential scenarios of the bifurcation trees of periodic motions to chaos. All stable and unstable periodic motions on the bifurcation trees can be determined. Especially, the unstable periodic motions on the bifurcation trees cannot be achieved from the traditional analytical methods, and such unstable periodic motions and chaos can be obtained through a specific control strategy. The sequential periodic motions in such a 1-D time-delayed system are achieved semi-analytically, and the corresponding stability and bifurcations are determined by eigenvalue analysis. Each bifurcation tree of a specific periodic motion to chaos are presented in detail. The bifurcation tree appearance and vanishing are determined by the saddle-node bifurcation, and the cascaded period-doubled periodic solutions are determined by the period-doubling bifurcation. From finite Fourier series, harmonic amplitude and harmonic phases for periodic motions on the global bifurcation tree are obtained for frequency analysis. Numerical illustrations of periodic motions are given for complex periodic motions in global bifurcation trees. The rich dynamics of the 1-D, delayed, nonlinear dynamical system is presented. Such global sequential periodic motions to chaos exist in nonlinear dynamical systems. The frequency-amplitude analysis can be used for re-construction of analytical expression of periodic motions, which can be used for motion control in dynamical systems.
The use of sensors and instrumentation for measuring and control is growing at a very rapid rate in all facets of life in today's world. This Part II of Instrumentation: Theory and Practice is designed to provide the reader with essential knowledge regarding a broad spectrum of sensors and transducers and their applications. This textbook is intended for use as an introductory one-semester course at the junior level of an undergraduate program. It is also very relevant for technicians, engineers, and researchers who had no formal training in instrumentation and wish to engage in experimental measurements. The prerequisites are: a basic knowledge of multivariable calculus, introductory physics, college algebra, and a familiarity with basic electrical circuits and components. This book emphasizes the use of simplified electrical circuits to convert the change in the measured physical variable into a voltage output signal. In each chapter, relevant sensors and their operation are presented and discussed at a fundamental level and are integrated with the essential mathematical theory in a simplified form. The book is richly illustrated with colored figures and images. End-of-chapter examples and problems complement the text in a simple and straight forward manner.
The Brusselator is a mathematical model for autocatalytic reaction, which was proposed by Ilya Prigogine and his collaborators at the Université Libre de Bruxelles. The dynamics of the Brusselator gives an oscillating reaction mechanism for an autocatalytic, oscillating chemical reaction. The Brusselator is a slow-fast oscillating chemical reaction system. The traditional analytical methods cannot provide analytical solutions of such slow-fast oscillating reaction, and numerical simulations cannot provide a full picture of periodic evolutions in the Brusselator. In this book, the generalized harmonic balance methods are employed for analytical solutions of periodic evolutions of the Brusselator with a harmonic diffusion. The bifurcation tree of period-1 motion to chaos of the Brusselator is presented through frequency-amplitude characteristics, which be measured in frequency domains. Two main results presented in this book are: • analytical routes of periodical evolutions to chaos and • independent period-(2𝑙 + 1) evolution to chaos. This book gives a better understanding of periodic evolutions to chaos in the slow-fast varying Brusselator system, and the bifurcation tree of period-1 evolution to chaos is clearly demonstrated, which can help one understand routes of periodic evolutions to chaos in chemical reaction oscillators. The slow-fast varying systems extensively exist in biological systems and disease dynamical systems. The methodology presented in this book can be used to investigate the slow-fast varying oscillating motions in biological systems and disease dynamical systems for a better understanding of how infectious diseases spread.
The vapor compression cycle (VCC) underpins the vast majority of refrigeration systems throughout the world. Most undergraduate thermodynamics courses cover the VCC, albeit in a cursory fashion. This book is designed to offer an in-depth look at the analysis, design and operation of large-scale industrial ammonia-based refrigeration systems. An important feature of this work is a treatment of computer-aided analysis using CoolProp, an open source resource for evaluating thermodynamic properties. CoolProp can be incorporated into a large number of common computational platforms including Microsfot Excel, Python, and Matlab, all of which are covered in this book.
The vapor compression cycle (VCC) underpins the vast majority of refrigeration systems throughout the world. Most undergraduate thermodynamics courses cover the VCC, albeit in a cursory fashion. This book is designed to offer an in-depth look at the analysis, design and operation of large-scale industrial ammonia-based refrigeration systems. An important feature of this work is a treatment of computer-aided analysis using CoolProp, an open source resource for evaluating thermodynamic properties. CoolProp can be incorporated into a large number of common computational platforms including Microsfot Excel, Python, and Matlab, all of which are covered in this book.
This book describes the Asymptotic Modal Analysis (AMA) method to predict the high-frequency vibroacoustic response of structural and acoustical systems. The AMA method is based on taking the asymptotic limit of Classical Modal Analysis (CMA) as the number of modes in the structural system or acoustical system becomes large in a certain frequency bandwidth. While CMA requires both the computation of individual modes and a modal summation, AMA evaluates the averaged modal response only at a center frequency of the bandwidth and does not sum the individual contributions from each mode to obtain a final result. It is similar to Statistical Energy Analysis (SEA) in this respect. However, while SEA is limited to obtaining spatial averages or mean values (as it is a statistical method), AMA is derived systematically from CMA and can provide spatial information as well as estimates of the accuracy of the solution for a particular number of modes. A principal goal is to present the state-of-the-art of AMA and suggest where further developments may be possible. A short review of the CMA method as applied to structural and acoustical systems subjected to random excitation is first presented. Then the development of AMA is presented for an individual structural system and an individual acoustic cavity system, as well as a combined structural-acoustic system. The extension of AMA for treating coupled or multi-component systems is then described, followed by its application to nonlinear systems. Finally, the AMA method is summarized and potential further developments are discussed.
This book provides a short introduction and easy-to-follow implementation steps of deep learning using Google Cloud Platform. It also includes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model. In recent years, deep learning-based modeling approaches have been used in a wide variety of engineering domains, such as autonomous cars, intelligent robotics, computer vision, natural language processing, and bioinformatics. Also, numerous real-world engineering applications utilize an existing pre-trained deep learning model that has already been developed and optimized for a related task. However, incorporating a deep learning model in a research project is quite challenging, especially for someone who doesn't have related machine learning and cloud computing knowledge. Keeping that in mind, this book is intended to be a short introduction of deep learning basics through the example of a practical implementation case. The audience of this short book is undergraduate engineering students who wish to explore deep learning models in their class project or senior design project without having a full journey through the machine learning theories. The case study part at the end also provides a cost-effective and step-by-step approach that can be replicated by others easily.