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Books > Professional & Technical > Technology: general issues > Engineering: general
Beginning with realistic mathematical or verbal models of physical or biological phenomena, the author derives tractable mathematical models that are amenable to further mathematical analysis or to elucidating computer simulations. For the most part, derivations are based on perturbation methods. Because of this, the majority of the text is devoted to careful derivations of implicit function theorems, the method of averaging, and quasi-static state approximation methods. The duality between stability and perturbation is developed and used, relying heavily on the concept of stability under persistent disturbances. This explains why stability results developed for quite simple problems are often useful for more complicated, even chaotic, ones. Relevant topics about linear systems, nonlinear oscillations, and stability methods for difference, differential-delay, integro- differential and ordinary and partial differential equations are developed throughout the book. For the second edition, the author has restructured the chapters, placing special emphasis on introductory materials in Chapters 1 and 2 as distinct from presentation materials in Chapters 3 through 8. In addition, more material on bifurcations from the point of view of canonical models, sections on randomly perturbed systems, and several new computer simulations have been added.
Essential reading on the latest advances in virtual prototyping and rapid manufacturing. Includes 110 peer reviewed papers covering: 1. Biomanufacturing, 2. CAD and 3D data acquisition technologies, 3. Materials, 4. Rapid tooling and manufacturing, 5. Advanced rapid prototyping technologies and nanofabrication, 6. Virtual environments and simulation and 7. Novel Applications. For all thos working on V&RP, focused on inducing increased collaboration between industry and academia.
This collection of proceedings from the International Conference on Systems Engineering, Las Vegas, 2014 is orientated toward systems engineering, including topics like aero-space, power systems, industrial automation and robotics, systems theory, control theory, artificial intelligence, signal processing, decision support, pattern recognition and machine learning, information and communication technologies, image processing, and computer vision as well as its applications. The volume's main focus is on models, algorithms, and software tools that facilitate efficient and convenient utilization of modern achievements in systems engineering.
This book is a state of the art treatise on what has been done so far on measuring sustainability for decision making. Contributions will appeal to engineers and scientists engaged in technology development, assessment, and verification. Researchers working on engineering sustainability are likely to get ideas for further research in quantifying sustainability for industrial systems. Concepts described can be applied across all scales, from process technology to global sustainability; and challenges and limitations are also addressed. Readers will discover important insights about simulation-based approaches to process design and quantitative measurement techniques of sustainability for business and technology systems. Most of the examples and case studies are from chemical enterprises but the methodologies presented could be applicable to any system for which quantitative data for indicators are available, and the choice of the set of indicators of sustainability are comprehensive.
Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.
Many of the earliest books, particularly those dating back to the 1900s and before, are now extremely scarce and increasingly expensive. We are republishing many of these classic works in affordable, high quality, modern editions, using the original text and artwork.
This book explains global trends and strategies in the shipping business, looking at the role of logistics service providers and at how information technology can help shipping operations. It also introduces best practices and advice that will allow professionals to improve the management of shipping and logistics activities. The book consists of sections examining shipping and trade, business strategies for shipping, intermodal container transport operations, and ports. This new edition adds a new fifth section with four new chapters that discusses contemporary issues in shipping. The new chapters are related to risk management in shipping, shipping security and safety, environmental and social sustainability, and a review of new technologies in the shipping industry and their future potential.  An invaluable source of information for researchers and advanced, or graduate, students, Shipping and Logistics Management is also a useful reference for shipping practitioners and consultants.
Evolutionary algorithms (EAs) are becoming increasingly attractive for researchers from various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science, economics, etc. This book presents an insightful, comprehensive, and up-to-date treatment of EAs, such as genetic algorithms, differential evolution, evolution strategy, constraint optimization, multimodal optimization, multiobjective optimization, combinatorial optimization, evolvable hardware, estimation of distribution algorithms, ant colony optimization, particle swarm optimization, artificial immune systems, artificial life, genetic programming, etc. It emphasises the initiative ideas of the algorithm, contains discussions in the contexts, and suggests further readings and possible research projects. All the methods form a pedagogical way to make EAs easy and interesting. This textbook also introduces the applications of EAs as many as possible. At least one real-life application is introduced by the end of almost every chapter. The authors focus on the kernel part of applications, such as how to model real-life problems, how to encode and decode the individuals, how to design effective search operators according to the chromosome structures, etc. This textbook adopts pedagogical ways of making EAs easy and interesting. Its methods include an introduction at the beginning of each chapter, emphasising the initiative, discussions in the contexts, summaries at the end of every chapter, suggested further reading, exercises, and possible research projects. Introduction to Evolutionary Algorithms will enable students to: establish a strong background on evolutionary algorithms; appreciate the cutting edge of EAs; perform their own research projects by simulating the application introduced in the book; and apply their intuitive ideas to academic search. This book is aimed at senior undergraduate students or first-year graduate students as a textbook or self-study material."
As science and technology have pervaded modern life to an ever greater degree, social scientists have been led to find questions of the causes and consequences of 'expert' knowledge arising in places that would have been felt unlikely hitherto. Varcoe, McNeil and Yearley's book assembles nine exemplary studies by sociologists, each of which explores an aspect of the current scientific-technological 'revolution'. Some popular ideas are challenged. So, too, implicitly, are certain large-scale social scientific theories claiming to have discerned in science and technology an overall meaning.
The Cloud Computing and Services Science book comprises a collection of the best papers presented at the International Conference on Cloud Computing and Services Science (CLOSER), which was held in The Netherlands in May 2011. In netting papers from the conference researchers and experts from all over the world explore a wide-ranging variety of the emerging Cloud Computing platforms, models, applications and enabling technologies. Further, in several papers the authors exemplify essential links to Services Science as service development abstraction, service innovation, and service engineering, acknowledging the service-orientation in most current IT-driven structures in the Cloud. The Cloud Computing and Services Science book is organized around important dimensions of technology trends in the domain of cloud computing in relation to a broad scientific understanding of modern services emerging from services science. The papers of this book are inspired by scholarly and practical work on the latest advances related to cloud infrastructure, operations, security, services, and management through the global network. This book includes several features that will be helpful, interesting, and inspirational to students, researchers as well as practitioners. Professionals and decision makers working in this field will also benefit from this book
The aim of the book is to lay out the foundations and provide a detailed treatment of the subject. It will focus on two main elements in dual phase evolution: the relationship between dual phase evolution and other phase transition phenomena and the advantages of dual phase evolution in evolutionary computation and complex adaptive systems. The book will provide a coherent picture of dual phase evolution that encompasses these two elements and frameworks, methods and techniques to use this concept for problem solving.
The focal main objective of the book is to constitute a meaningful linkage among research problems, geoinformation methods and corresponding applications. The research goals, related both to theoretical and practical issues, derive from multidisciplinary fields such as archaeology, history, geography, landscape planning, environment, geoinformation science, geology and geomorphology. All the aforementioned scientific areas have the spatial dimension in common, i.e. the vast amount of spatially referenced data. Their research issues can be addressed and analysed with geoinformation technology; though, the researchers should get familiar to the range of available geoinformation methods. The book provides description of a variety of research problems issues and technological ?solutions?approaches that can be used to support processes of data capturing, mapping and analysis. These techniques and concepts are illustrated on numerous practical examples. along with specific examples, where these have been applied. The current structure of the book includes the following four chapters: introduction, data capturing and mapping, analysis and modelling, and study cases. In the following we provide a more detailed content of each chapter listing the main topics included within the selected articles.
Updated to integrated modular avionics, and cabin and aircraft information systems Ideal for students gaining EASA Part 66 licences, particularly the B1 or B2 licence One of Routledge's core aircraft maintenance titles.
Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support the on-going development of Condition Monitoring standards. This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, China. Asset Condition, Information Systems and Decision Models will be of particular interest to finance, maintenance, and operations personnel whose roles directly affect the capability value of engineering asset base, as well as asset managers in both industry and government.
Monte-Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields to understand the impact of risk and uncertainty in prediction and forecasting models. Monte-Carlo Simulation: An Introduction for Engineers and Scientists explores several specific applications in addition to illustrating the principles behind the methods. The question of accuracy and efficiency with using the method is addressed thoroughly within each chapter and all program listings are included in the discussion of each application to facilitate further research for the reader using Python programming language. Beginning engineers and scientists either already in or about to go into industry or commercial and government scientific laboratories will find this book essential. It could also be of interest to undergraduates in engineering science and mathematics, as well as instructors and lecturers who have no prior knowledge of Monte-Carlo simulations.
Introducing engineering students to numerical analysis and computing, this book covers a range of topics suitable for the first three years of a four year undergraduate engineering degree. The teaching of computing to engineers is hampered by the lack of suitable problems for the students to tackle, so much effort has gone into making the problems in this book realistic and relevant, while at the same time solvable for undergraduates. Taking a balanced approach to teaching computing and computer methods at the same time, this book satisfies the need to be able to use computers (using both formal languages such as Fortran and other applications such as Matlab and Microsoft Excel), and the need to be able to solve realistic engineering problems.
This is an edited collection of peer-reviewed papers presented at the Ninth International Conference of the Society for the Advancement of Kinanthropometry. Defined as the relationship between human body structure and function, kinanthropometry is an area of growing interest, and these proceedings will be of use to students, academics and professionals in the areas of ergonomics, sports science, nutrition, health, and other allied fields. The assembled works represent the latest research findings across kinanthropometry, moving the discipline forward and promoting good practice and the exchange of expertise.
Highways provide the arteries of modern society. The interaction of road, rail and other transport infrastructure with the ground is unusually intimate, and thus needs to be well-understood to provide economic and reliable infrastructure for society. Challenges include not only the design of new infrastructure (often on problematic ground), but increasingly the management and maintenance of aging assets in the face of issues such as climate change. This book is the written record of the first International Conference on Transportation Geotechnics held under the auspices of the International Society of Soil Mechanics and Geotechnical Engineering, held in Nottingham, UK, in 2008. It comprises about 100 papers from a global selection of researchers and practitioners on: ? Slope instability, stabilisation, and asset management; ? Construction on soft ground; ? Interaction with structures and geogrid reinforced soil; ? Effect of climate change and vegetation; ? Highways, pavements and subgrade; ? Railway geotechnics; ? Soil improvement; ? Characterisation and recycling of geomaterials. A further part of this collection contains papers on unbound aggregate materials as used in pavement construction and drainage. They formed the ?Unbound Aggregates in Roads (UNBAR7)? theme of the conference which followed on from the previous symposia of that title, also held in Nottingham, UK, most recently in 2004. The volume will be of interest to professionals and academics in geotechnical, highway, railway and general civil engineering.
This book gathers the proceedings of the EPPM 2019 conference, and highlights innovative work by researchers and practitioners active in various industries around the globe. Recent advances in science and technology have made it possible to seamlessly connect and integrate various elements of engineering systems, and opened the door for innovations that have transformed how we live and work. While these developments have yielded enhanced efficiency and numerous improvements in our current practices, the problems caused by the increased complexity of these integrated systems can be extremely difficult. Accordingly, solving these problems involves applying cross-disciplinary expertise to address the heterogeneity of the various elements inherent in the system. These proceedings address four main themes: (I) Smart and Sustainable Construction, (II) Advances in Project Management Practices, (III) Toward Safety and Productivity Improvement, and (IV) Smart Manufacturing, Design, and Logistics. As such, they will be of interest to and valuable to researchers and practitioners in a range of industries seeking an update on the translational fields of engineering, project, and production management.
In this book strategies for using very soft organic clay as a fill material for road embankment constructions are compared, and an optimisation scheme is presented. Computer programs for simulation of evaporative drying, for simulation of consolidation, and for slope stability calculation were used to analyse clay behaviour. Field and laboratory testing programs for a trial embankment were set up in order to study the relations of parameters, to examine suitability and workability of the clay, and to verify the improvement methods. An optimisation technique was applied as a rational method for using very soft organic clay for road embankments leading to an economic construction. Also recommendations are presented based on a rational method for conditioning and emplacing very soft organic clay in a safe and economic way.
Internationally, significant attention is given to transport sustainability including planning, design, construction, evaluation, safety and durability of the road system. The 4th International Gulf Conference on Roads: Efficient Transportation and Pavement Systems - Characterization, Mechanisms, Simulation, and Modeling, hosted by the University of Qatar, November 2008, provided a forum for discussions of recent developments and research results and needs on transportation network optimization, traffic management, transportation safety, and pavement design, analysis, material characterization, modeling, and rehabilitation techniques. This book is a collection of 79 fully refereed papers and six keynote lectures from the conference, and includes contributions on a variety of topics:
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