الصفحة 27
الصفحة 27
Approximation of Additive Convolution-Like Operators : Real C*-Algebra Approach
Various aspects of numerical analysis for equations arising in boundary integral equation methods have been the subject of several books published in the last 15 years [95, 102, 183, 196, 198]. Prominent examples include various classes of o- dimensional singular integral equations or equations related to single and double layer potentials. Usually, a mathematically rigorous foundation and error analysis for the approximate solution of such equations is by no means an easy task. One reason is the fact that boundary integral operators generally are neither integral operatorsof the formidentity plus compact operatornor identity plus an operator with a small norm. Consequently, existing standard theories for the numerical analysis of Fredholm integral equations of the second kind are not applicable. In the last 15 years it became clear that the Banach algebra technique is a powerful tool to analyze the stability problem for relevant approximation methods [102, 103, 183, 189]. The starting point for this approach is the observation that the ? stability problem is an invertibility problem in a certain BanachorC -algebra. As a rule, this algebra is very complicated – and one has to ?nd relevant subalgebras to use such tools as local principles and representation theory.
Applied Mathematics for Restructured Electric Power Systems : Optimization, Control, and Computational Intellige
Discusses the use of applied mathematics to solve challenging power system problems. This book covers such areas as: control, optimization, and computational intelligence. It follows a three-part format: a description of an important power system problem or problems; the practice and/or particular research approaches; and, research directions.
Applied mathematics and machine learning
The simultaneous availability of large datasets and high-performance computing capability in recent years has enabled the rapid development of powerful machine learning algorithms. On the one hand, state-of-the-art machine learning techniques have transformed many areas of science and engineering; on the other hand, theoretical discoveries in mathematical algorithms, differential equations, and statistical inferences, to name a few, have provided the foundation for the exploration of new multidisciplinary models for solving practical problems. This Special Issue endeavors to continue the journey that started in our previous Special Issue (Applied Mathematics and Computational Physics) by providing a platform for researchers from both academia and industry, as well as government, to present their new computational methods that have engineering and physics applications.
Applications of random matrices in physics
Random matrices are widely and successfully used in physics for almost 60-70 years, beginning with the works of Dyson and Wigner. Although it is an old subject, it is constantly developing into new areas of physics and mathematics. It constitutes now a part of the general culture of a theoretical physicist. Mathematical methods inspired by random matrix theory become more powerful, sophisticated and enjoy rapidly growing applications in physics. Recent examples include the calculation of universal correlations in the mesoscopic system, new applications in disordered and quantum chaotic systems, in combinatorial and growth models, as well as the recent breakthrough, due to the matrix models, in two dimensional gravity and string theory and the non-abelian gauge theories. The book consists of the lectures of the leading specialists and covers rather systematically many of these topics.
Application of power electronics converters in smart grids and renewable energy systems
Focuses on the applications of Power Electronics Converters in smart grids and renewable energy systems. The topics covered include methods to CO2 emission control, schemes for electric vehicle charging, reliable renewable energy forecasting methods, and various power electronics converters. The converters include the quasi neutral point clamped inverter, MPPT algorithms, the bidirectional DC-DC converter, and the push–pull converter with a fuzzy logic controller.
Analytical Ultracentrifugation VIII
This book presents a comprehensive collection of 21 contributions from leading scientists in this field covering a broad spectrum of topics and presenting recent progress concerning instrumentation, data analysis and modeling, biological systems, particles, colloids, synthetic macromolecules, interacting systems. Due to the versatility of this fascinating and powerful technique, information and original publications are widespread and comprehensive collections are rare. Therefore, this volume presents a valuable source for biologists, chemists, materials scientists, and physicists interested in most recent information, results and development related to this important analytical method.
Analytical Ultracentrifugation of Polymers and Nanoparticles
Analytical ultracentrifugation (AUC) is a powerful method for the characterization of polymers, biopolymers, polyelectrolytes, nanoparticles, dispersions, and other colloidal systems. The method is able to determine the molar mass, the particle size, the particle density and interaction parameters like virial coefficients and association constants. Because AUC is also a fractionation method, the determination of the molar mass distribution, the particle size distribution, and the particle density distribution is possible. A special technique, the density gradient method, allows fractionating heterogeneous samples according to their chemical nature that means being able to detect chemical heterogeneity.
Analytical Chemistry : Theoretical and Metrological Fundamentals
Fundamentals of Analytical Chemistry are usually presented as a sum of chemical and physical foundations, laws, axioms and equations for analytical methods and procedures. In contrast, this book delivers a practice-oriented, general guiding theory valid for all methods and techniques. Starting with a closer look to analytical signals and their dependencies, all the important figures of merit characterizing the power of analytical procedures and the reliability of analytical results are discussed and quantified, such as sensitivity, precision, accuracy and ruggedness. Elements of signal theory, information theory, statistics and fundamentals of calibration are also presented for this aim.
Analysis, Control and Optimization of Complex Dynamic Systems
Analysis, Control and Optimization of Complex Dynamic Systems gathers in a single volume a spectrum of complex dynamic systems related papers written by experts in their fields, and strongly representative of current research trends. Complex systems present important challenges, in great part due to their sheer size which makes it difficult to grasp their dynamic behavior, optimize their operations, or study their reliability. Yet, we live in a world where, due to increasing inter-dependencies and networking of systems, complexity has become the norm. With this in mind, the volume comprises two parts. The first part is dedicated to a spectrum of complex problems of decision and control encountered in the area of production and inventory systems. The second part is dedicated to large scale or multi-agent system problems occurring in other areas of engineering such as telecommunication and electric power networks, as well as more generic context.
Analysis and Design of Intelligent Systems Using Soft Computing Techniques
This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas.
Analysis and Algorithms for Service Parts Supply Chains
Services requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage the logistics of these parts efficiently by making planning and operational decisions in a rational and rigorous manner. This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings. This unique book, with its breadth of topics and mathematical treatment, begins by first demonstrating the optimality of an order-up-to policy [or (s-1,s)] in certain environments. This policy is used in the real world and studied throughout the text. The fundamental mathematical building blocks for modeling and solving applications of stochastic process and optimization techniques to service parts management problems are summarized extensively. A wide range of exact and approximate mathematical models of multi-echelon systems is developed and used in practice to estimate future inventory investment and part repair requirements.
Analog-baseband architectures and circuits For multistandard and lowvoltage wireless transceivers
"Analog-Baseband Architectures and Circuits reviews the fundamentals and studies the state-of-the-art multistandard transceivers before describing novel architectural and circuit techniques for implementing multimode and wideband (tens of MHz) baseband analog front-ends under low-voltage constraints. Techniques developed on architecture level for efficient system-in-package (SiP) integration, testability and multi-standardability; and on circuit level for reducing the required supply voltage, power and area are generally applicable for most wireless systems, and are somewhat independent to technology scaling. Experimental 1-V baseband building blocks (i.e., double-quadrature-downconversion filter, programmable-gain amplifier and dc-offset canceler) and a 1-V fully-integrated receiver analog-baseband chain for IEEE 802.11a/b/g WLAN validate the techniques. The implementations are all in standard-VTH CMOS process, and no voltage boosting is required at any node." "Analog-Baseband Architectures and Circuits will be relevant to system architects, circuit designers, professors and students engaged in wireless transceiver front-ends research and development."
Analog Design Essentials
The book starts with elementary stages in building up operational amplifiers. The synthesis of opamps is covered in great detail, such that lowest power consumption is always guaranteed. Many examples are included, operating at low supply voltages. Chapters on noise, distortion, filters, ADC/DACs and oscillators follow. These are all based on the extensive amount of teaching that the author has carried out both at universities and companies world-wide. All chapters have been drawn up specifically for self-study. They aim, however, at different levels of understanding. All start with elementary material. Most chapters also contain advanced material, especially from Chapter 9 onwards.
Analog Circuit Design : Sensors, Actuators and Power Drivers ; Integrated Power Amplifiers from Wireline to RF ; Very High Frequency Front Ends
This book is part of the Analog Circuit Design series and contains the revised contributions of all speakers of the 16th AACD Workshop, which was organized by Jan Sevenhans of AMI Semiconductor and held in Oostende, Belgium on March 27-29, 2007. The book comprises 17 tutorial papers, divided in three chapters, each discussing a very relevant topic in present days analog design.
Analog Circuit Design : RF Circuits : Wide band, Front-Ends, DAC's, Design Methodology and Verification for RF and Mixed-Signal Systems, Low Power and Low Voltage
Analog Circuit Design contains the contribution of 18 tutorials of the 14th workshop on Advances in Analog Circuit Design. Each part discusses a specific todate topic on new and valuable design ideas in the area of analog circuit design. Each part is presented by six experts in that field and state of the art information is shared and overviewed. This book is number 14 in this successful series of Analog Circuit Design, providing valuable information and excellent overviews of analog circuit design, CAD and RF systems.
Analog Circuit Design : High-Speed A-D Converters, Automotive Electronics and Ultra-Low Power Wireless
This book is number 15 in this successful series of Analog Circuit Design, providing valuable information and excellent overviews of analog circuit design and related CAD, mainly in the fields of basic analog modules, mixed-signal electronics, AD and DA converters, RF systems, and automotive electronics.
An economic feasibility study of extracting electrical energy from solar panels
The research is a case that study depends on both secondary and primary data. Secondary data should be collected from the firms producing the photo panels(local and foreign) and those that working in this field in addition to the data of the ministry of electricity in Syria and the national center of power, while primary data should be collected by interviews with the persons working in electricity field .Then the traditional steps of commercial profitability analysis should be followed starting in pre-feasibility study passing the detailed feasibility study steps which, in turn, consists of the following phases : market study , technical study , financial study in order to reach the estimated net cash flows that should be used in analyzing the project feasibility depending on all criteria both traditional " payback-period . Simple rate of return" and economic criteria " net present value and the internal rate of return”.
An Archaeology of Colonial Identity : Power and Material Culture in the Dwars Valley, South Africa
This book is the based on the work of many people, and while I discuss many of them in the general context of this book in Chapter 1. The backbone of the book is based on a project, 'Farm Lives' conducted between 1999 and 2002, funded exclusively by the McDonald Institute for Archaeolog-ical Research at the University of Cambridge.
AmIware : Hardware Technology Drivers of Ambient Intelligence
Ambient Intelligence is one of the new paradigms in the development of information and communication technology, which has attracted much attention over the past years. The aim is the to integrate technology into people environment in such a way that it improves their daily lives in terms of well-being, creativity, and productivity. Ambient Intelligence is a multidisciplinary concept, which heavily builds on a number of fundamental breakthroughs that have been achieved in the development of new hardware concepts over the past years. New insights in nano and micro electronics, packaging and interconnection technology, large-area electronics, energy scavenging devices, wireless sensors, low power electronics and computing platforms enable the realization of the heaven of ambient intelligence by overcoming the hell of physics.
Alternatives Considered But Not Disclosed : The Ambiguous Role of PowerPoint in Cross-Project Learning
This study investigates the role of PowerPoint in organizational communication, particularly in terms of a functional dilemma between its application for documentation as opposed to presentation purposes. The theoretical part of the analysis combines insights from both organizational communication studies (J. R. Taylor et al.) and social systems theory (N. Luhmann et al.). The empirical analysis shows that PowerPoint documents created for cross-project learning purposes contribute to an invisibilization rather than a visibilization of decision processes and their contingency.
