الصفحة 55
الصفحة 55
Advanced Wired and Wireless Networks
ADVANCED WIRED AND WIRELESS NETWORKS brings the reader a sample of recent research efforts representative of advances in the areas of recognized importance for the future Internet, In Part I, we bring ad-hoc networking closer to the reality of practical use. The focus is on more advanced scalable routing suitable for large networks, directed flooding useful in information dissemination networks, as well as self-configuration and security issues important in practical deployments. Part II illustrates the efforts towards development of advanced mobility support techniques (beyond traditional "mobile phone net") and Mobile IP technologies. The issues range from prediction based mobility support, through context transfer during Mobile IP handoff, to service provisioning platforms for heterogeneous networks. The focus of the final section concerns the performance of networks and protocols. Furthermore this section illustrates researchers’ interest in protocol enhancement requests for improved performance with advanced networks, reliable and efficient multicast methods in unreliable networks, and composite scheduling in programmable/active networks where computing resources equal network performance as transmission bandwidth.
Advanced Time-Correlated Single Photon Counting Techniques
Time-correlated single photon counting (TCSPC) is a remarkable technique for recording low-level light signals with extremely high precision and picosecond-time resolution. TCSPC has developed from an intrinsically time-consuming and one-dimensional technique into a fast, multi-dimensional technique to record light signals. So this reference and text describes how advanced TCSPC techniques work and demonstrates their application to time-resolved laser scanning microscopy, single molecule spectroscopy, photon correlation experiments, and diffuse optical tomography of biological tissue. It gives practical hints about constructing suitable optical systems, choosing and using detectors, detector safety, preamplifiers, and using the control features and optimising the operating conditions of TCSPC devices. Advanced TCSPC Techniques is an indispensable tool for everyone in research and development who is confronted with the task of recording low-intensity light signals in the picosecond and nanosecond range.
Advanced Techniques in Soil Microbiology
"Advanced Techniques in Soil Microbiology" presents a wide range of biotechnological methods for application in soil microbiology analysis. These include all essential methods involving molecular biology, immunology, microbiology, and structural biology, such as transcriptome analysis, RNAi technology, molecular matchmaking, RAPD, T-RFLP and FT/MS. The techniques and procedures have been selected with the aim of offering practical guides for immediate use in the laboratory. The systems investigated range from individual molecules and cells to entire eukaryotic organisms, with a focus on bacteria, fungi, mycorrhiza, and higher plants. This volume of state-of-the-art, practice oriented methods will be of great use both to the first-timer and to the experienced scientist.
Advanced information systems Engineering ; 17th International conference, CAiSE 2005, Porto, Portugal, June 13-17, 2005, Proceedings
Contains the papers accepted and presented at revised CAiSE 2005 the seventeenth in the series of International Conferences onAdvanced Information Systems. theCAiSE conferences have provided a forum for the presentation and exchange ofresearch results and practical experiences within the field of advanced informa-tion systems engineering. In 2005, .The conference theme of CAiSE 2005 was “Improving Communication andUnderstanding — Systems and Citizens.” Behind this theme, we find the factthat the Internet has been changing societies and economies, and the way in-stitutions and businesses operate has evolved rapidly.
Advanced functional programming ; 5th International School, AFP 2004, Tartu, Estonia, August 14-21, 2004, Revised Lectures
Contains the revised lecture notes corresponding to nine of thelecture courses presented at the 5th International School on Advanced Functional Programming, AFP 2004, held in Tartu, Estonia, August 14–21, 2004. The goal of the AFP schools is to inform the wide international communitiesof computer science students and software production professionals about thenew and important developments in the area of functional programming. The schools put a special emphasis on practical applications of advanced techniques.
Advanced Design Techniques for RF Power Amplifiers
Main aim is to provide the reader with a deep analysis of theoretical aspects, modelling, and design strategies of RF high-efficiency power amplifiers. Advanced Design Techniques for RF Power Amplifiers begins with an analytical review of current state of the problem. Then it moves to the theoretical analysis of BJT class-F power amplifier near transition frequency and presents the necessary realization conditions. The next part concerns the practical verification and demonstration of the theoretical results. It is followed by the part devoted to the output networks of high-efficiency power ampifiers. The novel type of photonic band-gap structure providing improved characteristics both in the pass and stop bands is proposed. Finally, the fifth-harmonic peaking class F power amplifier design based on the above structure is presented.
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms : A Practical Approach Using Python
Describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies.
Advance Concepts of Image Processing and Pattern Recognition : Effective Solution for Global Challenges
Explains the important concepts and principles of image processing to implement the algorithms and techniques to discover new problems and applications. It contains numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. It presents essential background theory, shape methods, texture about new methods, and techniques for image processing and pattern recognition. It maintains a good balance between a mathematical background and practical implementation. This book also contains the comparison table and images that are used to show the results of enhanced techniques. This book consists of novel concepts and hybrid methods for providing effective solutions for society. It also includes a detailed explanation of algorithms in various programming languages like MATLAB, Python, etc.
Adobe® Acrobat® and PDF for Architecture, Engineering, and Construction
Adobe® Acrobat® and PDF for Architecture, Engineering, and Construction is designed to appeal to the engineering mind. The book is a practical guide focusing on the applications of PDF in the solution of "engineering" problems which may arise in a number of disciplines from architecture to construction. Using real-world examples, the authors follow a project from design through build and long-term maintenance. As the sample project evolves, suitable Acrobat® tools and techniques are identified and brought into play at each stage, showing readers how to personalize the context and processes to meet their own project development and management needs.
Addition Reactions with Unsaturated Hydrocarbons
Addition Reactions with Unsaturated Hydrocarbons presents an up-to-date overview of modern methods that utilize reactions of unsaturated hydrocarbons as building blocks of organic synthesis, covering the conceptual and practical knowledge required for designing atom-efficient reactions to synthesize functionalized molecules. This authoritative volume discusses homo-dimerization and cross-dimerization of alkynes and/or alkenes, synthesis of carbonyl compounds from the hydration of alkynes, cycloadditions of alkynes and alkenes for the synthesis of carbocycles and heterocycles.
Adaptive-robust control with limited knowledge on systems dynamics : An artificial input delay approach and beyond
investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control (ARC) for a class of Euler–Lagrange (EL) systems with minimal or no knowledge of the system dynamics parameters. The newly proposed TDC-based ARC tackles the commonly observed over- and under-estimation issues in switching gain. The consideration of EL systems lends a practical perspective on the proposed methods, and each chapter is supplemented by relevant experimental data
Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learing Problems on Edge Devices
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use. You will: Apply adaptive algorithms to practical applications and examples / Understand the relevant data representation features and computational models for time-varying multi-dimensional data / Derive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real data / Speed up your algorithms and put them to use on real-world stationary and non-stationary data / Master the applications of adaptive algorithms on critical edge device computation applications
Adaptive Learning of Polynomial Networks : Genetic Programming, Backpropagation and Bayesian Methods
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when addressing tasks from various areas like system identification, chaotic time-series prediction, financial forecasting and data mining. The main claim is that the model identification process involves several equally important steps: finding the model structure, estimating the model weight parameters, and tuning these weights with respect to the adopted assumptions about the underlying data distrib ution. When the learning process is organized according to these steps, performed together one after the other or separately, one may expect to discover models that generalize well.
Adaptive Filtering : Algorithms and Practical Implementation
The book presents basic concepts of adaptive signal processing and filtering in a concise and straightforward manner. It concentrates on on-line algorithms whose adaptation occurs whenever a new sample of each environment signal is available. The material also illustrates block algorithms using a sub-band filtering framework whose adaptation occurs when a new block of data is available.
Adaptive dynamic programming for chemotherapy drug delivery
Focuses on the practical application of Adaptive Dynamic Programming (ADP) in chemotherapy drug delivery, taking into account clinical variables and real-time data. ADP's ability to adapt to changing conditions and make optimal decisions in complex and uncertain situations makes it a valuable tool in addressing pressing challenges in healthcare and other fields. As optimization technology evolves, we can expect to see even more sophisticated and powerful solutions emerge.
Acute Ischemic Stroke : Imaging and Intervention
Acute Ischemic Stroke: Imaging and Intervention is a comprehensive presentation of the state-of-the-art in the diagnosis and treatment of acute ischemic stroke. This book offers a practical review of recent advances in stroke neuroimaging, and the latest therapeutic options for this disease.
Acute coronary syndrome : Multidisciplinary and pathway-based approach
Acute coronary syndrome (ACS) affects millions of patients annually and requires immediate diagnosis and therapy. This practical algorithm-based handbook addresses the diagnosis and treatment of these patients and is designed for the medical personnel involved in the triage and management of ACS patients.
Acoustics and Sound Insulation : Principles, Planning, Examples
Provides expert planners and architects but also interested developers with practical knowledge on the subject of acoustics in high-rise architecture, beginning with standards on methods of planning and prognosis and moving on to the areas of acoustics of rooms and architecture and noise protection in urban planning. Presents typologically specific acoustic and soundproofing measures. Practical knowledge about acoustics in architecture, and noise protection in urban planning, as well as methods for planning and prognosis. Examples of built projects
Achieving high performance
Gives you the tools to succeed in a business environment. Discover how to improve your performance and boost productivity by prioritising tasks and managing your time effectively. You'll learn how to improve your skills, develop drive, and lead effectively. In a slim, portable format, Essential Managers- Achieving High Performance gives you a practical "how-to" approach with step-by-step instructions, tips, checklists, and "ask yourself" features showing you how to build your confidence, develop your "brand", and make an impact.
Accounting for social and environmental sustainability : A multi-capital approach
Offers an in‑depth examination of multi‑capital accounting, which has already been integrated within the corporate sustainability reporting directive and will follow on from sustainability reporting. the LIFTS model (limits and foundations towards sustainability accounting model) used in this book combines various scientific and practical contributions to develop budgets for environmental impacts and social obligations on an organisational scale. it proposes an accounting mechanism that enables an organization to manage each of its budgets and measure variances between forecast and actual. it provides an introduction to the principles of this model and its conditions of application and describes its implementation in numerous companies.
