الصفحة 33
الصفحة 33
Applied Fuzzy Arithmetic : An Introduction with Engineering Applications
Applied Fuzzy Arithmetic provides a well-structured compendium that offers both a deeper knowledge about the theory of fuzzy arithmetic and an extensive view on its applications in the engineering sciences, making it a resource for students, researchers, and practical engineers. The first part of the book gives an introduction to the theory of fuzzy arithmetic, which aims to present the subject in a well-organized and comprehensible form. The derivation of fuzzy arithmetic from the original fuzzy set theory and its evolution towards a successful implementation is presented with existing formulations of fuzzy arithmetic included and integrated in the overall context. The second part of the book presents a diversified exposition of the application of fuzzy arithmetic, addressing different areas of the engineering sciences, such as mechanical, geotechnical, biomedical, and control engineering.
Applied Deep Learning with TensorFlow 2 : Learn to Implement Advanced Deep Learning Techniques with Python
Focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally. You will: Understand the fundamental concepts of how neural networks work / Learn the fundamental ideas behind autoencoders and generative adversarial networks / Be able to try all the examples with complete code examples that you can expand for your own projects / Have available a complete online companion book with examples and tutorials.
Applied cryptography and network security ; 5th International Conference, ACNS 2007, Zhuhai, China, June 5-8, 2007, Proceedings
The book is organized in topical sections on signature schemes, computer and network security, cryptanalysis, group-oriented security, cryptographic protocols, anonymous authentication, identity-based cryptography, security in wireless, ad-hoc, and peer-to-peer networks, as well as efficient implementation.
Applied and computational mathematics for digital environments
Contains the 11 papers that were accepted and published in the Special Issue “Applied and Computational Mathematics for Digital Environments” of the MDPI Mathematics journal. The topics of interest include, among others, scientific research, applied tasks, and problems in the following areas: The construction of mathematical and information models of intelligent computer systems for monitoring and controlling the parameters of digital environments; The development of intelligent optimization algorithms that search for optimal parameter values of mathematical and information models in digital environments; Software and mathematical technologies in the implementation of intelligent monitoring and computer control of the parameters of digital environments; The development and application of mathematical and information models, machine learning methods, and artificial intelligence for the analysis and processing of big data in digital environments.
Applications and Theory of Petri Nets ; 29th International Conference, PETRI NETS 2008, Xi’an, China, June 23-27, 2008. Proceedings
This book constitutes the refereed proceedings of the 29th International Conference on Applications and Theory of Petri Nets and Other Models of Concurrency, PETRI NETS 2008, held in Xi'an, China, in June 2008.
Anti-bribery laws in common law jurisdictions
The legal regimes adopted and being implemented by parties to the OECD Convention flow from a common framework. Yet even when the anti-bribery legal regimes are virtually identical, the differences can still be significant in the context of a range of factors that are unique to each legal system.
Antibiotic policies : Theory and practice
This unique book assembles contributions from experts around the world concerned with responsible use of antibiotics and the consequences of overuse. For the first time, it provides up to the minute texts on both the theoretical aspects of antibiotic stewardship and the practical aspects of its implementation, with consideration of the key differences between developed and developing countries
Anthropologies of Global Maternal and Reproductive Health : From Policy Spaces to Sites of Practice
This open access edited book brings together new research on the mechanisms by which maternal and reproductive health policies are formed and implemented in diverse locales around the world, from global policy spaces to sites of practice. The authors – both internationally respected anthropologists and new voices – demonstrate the value of ethnography and the utility of reproduction as a lens through which to generate rich insights into professionals’ and lay people’s intimate encounters with policy.
Analyzing the availability of fin tech and its role in enhancing the strategic : Performance of Syrian banks using the balanced scorecard
Aims to examine the role of financial technology (FinTech) in enhancing the strategic performance of Syrian banks by analyzing its impact on the four dimensions of the balanced scorecard : financial performance, customer satisfaction, internal process quality, and learning and growth. Amid economic and technological challenges, integrating fintech emerges as a strategic tool to boost operational efficiency, reduce costs, and promote financial inclusion. The study explores the experiences of several Syrian banks in implementing modern financial technologies, such as digital banking and smart payment systems, while evaluating key financial indicators like return on assets (ROA) and return on equity (ROE).
Analysis and Development of Sustainable Urban Production Systems
Manufacturing of products in urban production sites is connected to unique potentials, yet also to specific challenges. Urban factories can provide functional diversity and contribute positive impacts to a city. The concept of urban production receives rising attention in research and industry and it is recognized in its interdisciplinary nature. With a holistic approach from both the urban perspective and the factory perspective, negative impacts can be minimized, positive effects enabled and mutually beneficial, symbiotic combinations created. The presented framework and methods for the evaluation and implementation of sustainable urban production systems allow the assessment of impacts and provide the means to control and utilize the unique strengths of urban factories for cities and industry. This will allow a structured derivation of methods and measures from the concept of urban production for producing enterprises and the urban stakeholders.
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."
An Introduction to Structural Optimization
This textbook gives an introduction to all three classes of geometry optimization problems of mechanical structures: sizing, shape and topology optimization. The style is explicit and concrete, focusing on problem formulations and numerical solution methods. The treatment is detailed enough to enable readers to write their own implementations. On the book's homepage, programs may be downloaded that further facilitate the learning of the material covered.
An Introduction to Meshfree Methods and Their Programming
This book aims to present meshfree methods in a friendly and straightforward manner, so that beginners can very easily understand, comprehend, program, implement, apply and extend these methods. It provides first the fundamentals of numerical analysis that are particularly important to meshfree methods. Typical meshfree methods, such as EFG, RPIM, MLPG, LRPIM, MWS and collocation methods are then introduced systematically detailing the formulation, numerical implementation and programming. Many well-tested computer source codes developed by the authors are attached with useful descriptions. The application of the codes can be readily performed using the examples with input and output files given in table form. These codes consist of most of the basic meshfree techniques, and can be easily extended to other variations of more complex procedures of meshfree methods. Readers can easily practice with the codes provided to effective learn and comprehend the basics of meshfree methods.
An Introduction to Language Processing with Perl and Prolog : An Outline of Theories, Implementation, and Application with Special Consideration of English, French, and German
This book teaches the principles of natural language processing, first covering linguistics issues such as encoding, entropy, and annotation schemes; defining words, tokens and parts of speech; and morphology. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques; using Prolog to write phase-structure grammars; parsing techniques and syntactic formalisms; semantics, predicate logic and lexical semantics; and analysis of discourse, and applications in dialog systems. The key feature of the book is the author's hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs, and additional material.
An effective strategy for safe design in engineering and construction
Achieves three primary goals: To improve the understanding and implementation of the Construction (Design and Management) Regulations 2015 To reduce errors during the design process via the effective implementation of design management strategy To embed the concept of safety in design
Ambient intelligence : A novel paradigm
Ambient Intelligence (AmI) is an integrating technology for supporting a pervasive and transparent infrastructure for implementing smart environments. Such technology is used to enable environments for detecting events and behaviors of people and for responding in a contextually relevant fashion. AmI proposes a multi-disciplinary approach for enhancing human machine interaction. The authors start with a description of the iDorm as an example of a smart environment conforming to the AmI paradigm, and introduces computer vision as an important component of the system. Other computer vision examples describe visual monitoring for the elderly, classic and novel surveillance techniques using clusters of cameras installed in indoor and outdoor application domains, and the monitoring of public spaces. Face and speech recognition systems are also covered as well as enhanced LEGO blocks for novel educational purposes. The book closes with a provocative chapter on how a cybernetic system can be designed as the backbone of a human machine interaction.
Alternatives to Animal Testing : Proceedings of Asian Congress 2016
This book presents recent advances in the pure sciences that are of significance in the quest for alternatives to the use of animals in research and describes a variety of practical applications of the three key guiding principles for the more ethical use of animals in experiments – replacement, reduction, and refinement, collectively known as the 3Rs. Important examples from across the world of implementation of the 3Rs in the testing of cosmetics, chemicals, pesticides, and biologics, including vaccines, are described, with additional information on relevant regulations. The coverage also encompasses emerging approaches to alternative tests and the 3Rs.
Algorithms on Trees and Graphs : With Python Code
Introduces graph algorithms on an intuitive basis followed by a detailed exposition using structured pseudocode, with correctness proofs as well as worst-case analyses. Centered around the fundamental issue of graph isomorphism, the content goes beyond classical graph problems of shortest paths, spanning trees, flows in networks, and matchings in bipartite graphs. Advanced algorithmic results and techniques of practical relevance are presented in a coherent and consolidated way. Numerous illustrations, examples, problems, exercises, and a comprehensive bibliography support students and professionals in using the book as a text and source of reference. Furthermore, Python code for all algorithms presented is given in an appendix. Topics and features: Algorithms are first presented on an intuitive basis, followed by a detailed exposition using structured pseudocode / Correctness proofs are given, together with a worst-case analysis of the algorithms / Full implementation of all the algorithms in Python / An extensive chapter is devoted to the algorithmic techniques used in the book / Solutions to all the problems
Algorithms in Bioinformatics : Theory and Implementation
Explores a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields. Delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships. It introduces readers to the art of algorithms in a practical manner which is linked with biological theory and interpretation. The book covers many key areas of bioinformatics, including global and local sequence alignment, forced alignment, detection of motifs, Sequence logos, Markov chains or information entropy. Other novel approaches are also described, such as Self-Sequence alignment, Objective Digital Stains (ODSs) or Spectral Forecast and the Discrete Probability Detector (DPD) algorithm. Readers will also benefit from the inclusion of: A detailed presentation of new methods, such as Self-sequence alignment, Objective Digital Stains and Spectral Forecast ; A treatment of sequence alignment, including local sequence alignment, global sequence alignment and forced sequence alignment with full implementations ; Discussions of position-specific weight matrices, including the count, weight, relative frequencies, and log-likelihoods matrices ; A detailed presentation of the methods related to Markov Chains as well as a description of their implementation in Bioinformatics and adjacent fields ; An examination of information and entropy, including sequence logos and explanations related to their meaning ; A chapter on philosophical transactions that allows the reader a broader view of the prediction process ; Extensive worked examples with detailed case studies that point out the meaning of different results
Algorithms and data structures for massive datasets
Learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You'll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects--and there's no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you'll find the sweet spot of saving space without sacrificing your data's accuracy. About the Technology Standard algorithms and data structures may become slow--or fail altogether--when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost.
