Introduction to Mathcad 15, 3/e is ideal for Freshman or Introductory courses in Engineering and Computer Science. Introduces Mathcad's basic mathematical and data analysis functions (e.g., trigonometric, regression, and interpolation functions) using easy-to-follow examples, then applies the functions to examples drawn from emerging or rapidly developing fields in engineering. ESource-Prentice Hall's Engineering Source-provides a complete, flexible introductory engineering and computing program. ESource allows professors to fully customize their textbooks through the ESource website. Professors are not only able to pick and choose modules, but also sections of modules, incorporate their own materials, and re-paginate and re-index the complete project. prenhall.com/esource

The book presents current research progress on hydrogen storage alloys, with a special focus on their applications in batteries. Background, formation mechanisms, electrochemical characteristics, and effects of elemental substitution are covered. Provides an up-to-date overview of the theme for experienced researchers, while including enough fundamentals to serve as a handy, practical introduction for newcomers to the field.

Resources designed to support learners of the 2010 BTEC Level 2 First Engineering specification*. Covers all mandatory and 6 optional units providing the breadth of units needed to tailor this course to the needs and interests of specific groups of learners. Visually-appealing learner-friendly format. Assessment activities in each unit covering all assessment criteria give students the opportunity to practice for their assignments and deepen their knowledge and understanding. WorkSpace case studies take learners into the real world of work, showing them how they can apply their knowledge in a real-life context. Advice from former students: shows current learners how they can make their BTEC experience a stepping stone to success. * From 2012, Pearson's BTEC First qualifications have been under re-development, so schools and colleges could be teaching the existing 2010 specification or the new next generation 2012-2013 specification. There are different Student Books to support each specification. If learners are unsure, they should check with their teacher or tutor.

This three-volume set of Pharmaceutical Dosage Forms: Parenteral Medications is an authoritative, comprehensive reference work on the formulation and manufacture of parenteral dosage forms, effectively balancing theoretical considerations with the practical aspects of their development. As such, it is recommended for scientists and engineers in the pharmaceutical industry and academia, and will also serve as an excellent reference and training tool for regulatory scientists and quality assurance professionals.

First published in 1984 (as two volumes) and then last revised in 1993 (when it grew to three volumes), this latest revision will address the plethora of changes in the science and considerable advances in the technology associated with these products and routes of administration. The third edition of this book maintains the features that made the last edition so popular but comprises several brand new chapters, revisions to all other chapters, as well as high quality illustrations.

Volume one presents:

A historical perspective of injectable drug therapy, common routes of administration, and biopharmaceutics of NCEs and NBEs.

An in-depth discussion on the preformulation and formulation of small and large molecules, including ophthalmic dosage forms.

A presentation of parenteral primary packaging options - glass and plastic containers, as well as elastomeric closures.

A definitive chapter on container-closure integrity.

New chapters on solubility and solubilization, formulation of depot delivery systems and biophysical/biochemical characterization of proteins.

Volume two presents:

Chapters on aseptic facility design, environmental monitoring, and cleanroom operations.

A comprehensive chapter on pharmaceutical water systems.

A discussion of quality attributes of sterile dosage forms, including particulate matter, endotoxin, and sterility testing.

A detailed chapter on processing of parenteral drug products (SVPs and LVPs).

Presentations on widely used sterilization technologies steam, gas / chemical, radiation, filtration and dry heat.

An in-depth chapter on lyophilization.

Volume three presents:

An in-depth discussion of regulatory requirements, quality assurance, risk assessment and mitigation, and extractables/leachables.

Specific chapters on parenteral administrations devices, injection site pain assessment, and parenteral product specifications and stability testing.

Forward-thinking discussions on the future of parenteral product manufacturing, and siRNA delivery systems.

New chapters covering recent developments in the areas of visual inspection, quality by design (QbD), process analytical technology (PAT) and rapid microbiological methods (RMM ), and validation of drug product manufacturing process.

SOIL-FOUNDATION-STRUCTURE INTERACTION contains selected papers presented at the International Workshop on Soil-Foundation-Structure Interaction held in Auckland, New Zealand from 26-27 November 2009. The workshop was the venue for an international exchange of ideas, disseminating information about experiments, numerical models and practical engineering problems relating to soil-foundation-structure interaction. A topic of long standing interest to both structural and geotechnical engineers is what is traditionally known as soil-structure interaction (SSI). For a long period, this has involved linear elastic interaction between the foundation and the underlying soil and the appropriate analysis is well developed for both static and dynamic interaction. In recent years, there has been a growing interest in considering nonlinear soil-foundation interaction in the design of shallow foundations, both for static and earthquake loading. To distinguish these approaches from the classical linear elastic soil-structure interaction, the term soil-foundation-structure-interaction (SFSI) has been coined recently.The development of various approaches is occurring rapidly in many research groups all over the world, with the inclusion of nonlinear structure and nonlinear soil interaction using FEM-based numerical methods, as well as the use of shallow foundation macro-elements as an alternative to using finite elements. The workshop brought together representatives from several of these groups to review the current state of development, discuss the potential for application in foundation design, and consider how work in this area might develop in the next few years. The emphasis in the workshop was on application of these ideas to the foundation design process. The book will be much of interest to post-graduates in Foundation Engineering, Earthquake Geotechnical Engineering, Earthquake Engineering, and Advanced Structural Dynamics.

The second half of the twentieth century and the beginning of the twenty ?rst have been characterized by the most impressive industrial revolution ever seen. In - proximately 40years, the complexity of integrated circuits (ICs) has increased by a 9 factor of 10 , with a corresponding reduction of the cost per bit by eight orders of magnitude. Not only has this evolution allowed dramatic progress in allscienti?c ?elds (large computers, space probes, etc.), but also has fueled the economic development with the raise of new markets (personal computers, cellular phones, etc.) and even social revolutions (world wide web, global village, etc.). In last years, however, the situation has signi?cantly changed: the continuous scaling down of device size has eventually brought the IC major technique, p- tolithography, to its limits. Overcoming its original limits has been proved to be possible, but the price to pay for that has changed the playing rules - while at the beginning of the IC history the evolution was driven by technology, now it is driven by economy, the cost of a medium size production plant being in the range of a few billion dollars.

The contributions to this volume are based on selected lectures from the first international workshop on decoherence, information, complexity and entropy (DICE). The aim of this volume is to reflect the growing importance ot common concepts behind seemingly different fields such as quantum mechanics, general relativity and statistical physics in a form accessible to nonspecialist researchers. Many presentations include original results which published here for the first time.

This is the first book to examine the "nuts and bolts" of production processes. It proposes a truly consilient approach to modeling production processes - one that goes beyond the vague principles found in standard economics - and provides details that are consistent with the applied mechanics and engineering literature. Providing a credible analysis of some of the most pressing questions of our era, such as the productivity slowdown and the information paradox, and bridging the gap between engineering, applied physics, economics, and management science, this book is a fascinating read for anyone interested in industry, the modern economy, and how physical factors constrain productivity growth.

Because of its versatility in analyzing a broad range of applications, multibody dynamics has grown in the past two decades to be an important tool for designing, prototyping, and simulating complex articulated mechanical systems. This textbooka "a result of the authora (TM)s many years of research and teachinga "brings together diverse concepts of dynamics, combining the efforts of many researchers in the field of mechanics. Bridging the gap between dynamics and engineering applications such as microrobotics, virtual reality simulation of interactive mechanical systems, nanomechanics, flexible biosystems, crash simulation, and biomechanics, the book puts into perspective the importance of modeling in the dynamic simulation and solution of problems in these fields.

To help engineering students and practicing engineers understand the rigid-body dynamics concepts needed for the book, the author presents a compiled overview of particle dynamics and Newtona (TM)s second law of motion in the first chapter. A particular strength of the work is its use of matrices to generate kinematic coefficients associated with the formulation of the governing equations of motion. Additional features of the book include:

* numerous worked examples at the end of each section

* introduction of boundary-element methods (BEM) in the description of flexible systems

* up-to-date solution techniques for rigid and flexible multibody dynamics using finite- element methods (FEM)

* inclusion of MATLAB-based simulations and graphical solutions

* in-depth presentation of constrained systems

* presentation of the general form of equations of motion ready for computerimplementation

* two unique chapters on stability and linearization of the equations of motion

Junior/senior undergraduates and first-year graduate engineering students taking a course in dynamics, physics, control, robotics, or biomechanics will find this a useful book with a strong computer orientation towards the subject. The work may also be used as a self-study resource or research reference for practitioners in the above-mentioned fields.

The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It consists of three parts:- an introduction to the fundamental principles of neural networks;- several methods for nonlinear identification using neural networks;- various techniques for nonlinear control using neural networks.A number of simulated and industrial examples are used throughout the monograph to demonstrate the operation of nonlinear identification and control techniques using neural networks. It should be emphasised that the methods and systems of nonlinear control have not progressed as rapidly as those for linear control. Comparatively speaking, at the present time, they are still in the development stage. We believe that the fundamental theory, various design methods and techniques, and several applications of nonlinear identification and control using neural networks that are presented in this monograph will enable the reader to analyse and synthesise nonlinear control systems quantitatively.

1. Highlights recent advances in material science and armour technology 2. Provides information on computational methods for armour design 3. Discusses stress waves and penetration mechanics 4. Covers human vulnerability and reactive armour systems

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.

Contemporary supply chains operate under the pressure of customer requirements, increasing price competition, sudden increases or decreases in demand, unforeseen obstacles and new threats. The right way to improve the functioning of the flow of material and accompanying information is not only the continuous collection of data but also their collection, analysis, inference and decision-making with the use of decision support systems, expert systems and artificial intelligence. Such procedures make it easier for logisticians not only to forecast processes but also to predict (forecast) and identify potential problems and facilitate the implementation of optimal modern solutions, paying attention to current trends in the supply chain market. An important issue that affects the quality, efficiency and availability (continuity) of the processes implemented within the supply chain is security. This is an area that is not clearly defined. This book uses theoretical and practical knowledge to define security in the supply chain as a state that gives a sense of certainty and guarantees the flow of material goods and services (in accordance with the 7w rule) as well as a smooth flow of information for the planning and management of logistics processes. Tools and instruments used to ensure the security of the supply chain contribute to the protection and survival in times of dangerous situations (threats) and adaptation to new conditions (susceptibility to unplanned situations). When analyzing the needs and structure of the 21st century supply chains, in the context of their security, it is impossible to ignore the problem of their digitization, which enables the determination of optimal routes and the anticipation of possible threats (crisis situations). Automatic data exchange between various departments of the company along the upper and lower part of the supply chain improves the functioning of the warehouse management through, among others, automation, robotization and pro-activity. It also contributes to efficient, good communication and market globalization. Automation also brings new, extremely attractive business models with regard to occupational safety, ergonomics and environmental protection. To meet the needs of creating modern supply chains, the book analyzes and presents current and future solutions that affect security and the continuity of supply chains.

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.

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.

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."

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