الصفحة 1
الصفحة 1
Waves in Nonlinear Pre-Stressed Materials
The papers in this book provide a unique state-of-the-art multidisciplinary overview on the subject of waves in pre-stressed materials through the interaction of several topics, ranging from the mathematical modelling of incremental material response (elastic and inelastic), to the analysis of the governing differential equations and boundary-value problems, and to computational methods for the solution to these problems, with particular reference to industrial, geophysical, and biomechanical applications. A complete view on the title subject is proposed, including: The basic and fundamental theoretical issues (mechanical modelling, exact solutions, asymptotic methods, numerical treatment); A unified introduction to wave propagation (small on large and large on large); A look toward classical (such as geophysics and the mechanics of rubber-like solids) and emergent (such as biomechanics) applications.
Uncertainty Forecasting in Engineering
Deals with uncertainty forecasting based on a fuzzy time series approach, including fuzzy random processes and artificial neural networks. A consideration of data and measurement uncertainty enhances forecasting in a wide range of applications, particularly in the fields of engineering, environmental science and civil engineering.Uncertain data are described by means of a new incremental fuzzy representation which permits a complete and accurate estimation of uncertainty.
The great mindshift : How a new economic paradigm and sustainability transformations go hand in hand
Describes the path ahead. It combines system transformation research with political economy and change leadership insights when discussing the need for a great mindshift in how human wellbeing, economic prosperity and healthy ecosystems are understood if the Great Transformations ahead are to lead to more sustainability. It shows that history is made by purposefully acting humans and introducestransformative literacy as a key skill in leading the radical incremental change strategies that wicked problems require, illustrating their nature through mapping pioneering practices and their commonalities.
Systems Engineering of Software-Enabled Systems
Presents an approach to developing software-enabled systems that integrates the incremental approach used by systems engineers and the iterative approach used by software engineers. This unique approach is based on developing system capabilities that will provide the features, behaviors, and quality attributes needed by stakeholders, based on model-based system architecture. In addition, the author covers the management activities that a systems engineer or software engineer must engage in to manage and lead the technical work to be done. This important book: Offers an approach to improving the process of working with systems engineers and software engineers. Contains information on the planning and estimating, measuring and controlling, managing risk, and organizing and leading systems engineering teams. Includes a discussion of the key points of each chapter and exercises for review Suggests numerous references that provide additional readings for development of software-enabled physical systems / Provides two case studies as running examples throughout the text
Structure-Borne Sound : Structural Vibrations and Sound Radiation at Audio Frequencies
Structure-Borne Sound" is a thorough introduction to structural vibrations with emphasis on audio frequencies and the associated radiation of sound. The book presents in-depth discussions of fundamental principles and basic problems, in order to enable the reader to understand and solve his own problems. It includes chapters dealing with measurement and generation of vibrations and sound, various types of structural wave motion, structural damping and its effects, impedances and vibration responses of the important types of structures, as well as with attenuation of vibrations, and sound radiation from structures. For the third edition, the author fundamentally revised and newly organized the contents of the work. Nevertheless, the intention has been to preserve the style of the previous editions, namely to focus on the fundamentals enabling the reader to analyse further problems.
Quantum Independent Increment Processes II : Structure of Quantum Lévy Processes, Classical Probability, and Physics
The present volume contains the following lectures: Random Walks on Finite Quantum Groups, Quantum Markov Processes and Applications in Physics and Classical and Free Infinite Divisibility and Lévy Processes.
Quantum Independent Increment Processes I : From Classical Probability to Quantum Stochastic Calculus
This volume is the first of two volumes containing the revised and completed notes lectures given at the school "Quantum Independent Increment Processes: Structure and Applications to Physics". The present first volume contains the following lectures: "Lévy Processes in Euclidean Spaces and Groups" by David Applebaum, "Locally Compact Quantum Groups" by Johan Kustermans, "Quantum Stochastic Analysis" by J. Martin Lindsay, and "Dilations, Cocycles and Product Systems" by B.V. Rajarama Bhat.
Practical Machine Learning for Streaming Data with Python : Design, Develop, and Validate Online Learning Models
A quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights. You'll start with an introduction to streaming data, the various challenges associated with it, some of its real-world business applications, and various windowing techniques. You'll then examine incremental and online learning algorithms, and the concept of model evaluation with streaming data and get introduced to the Scikit-Multiflow framework in Python. This is followed by a review of the various change detection/concept drift detection algorithms and the implementation of various datasets using Scikit-Multiflow. Introduction to the various supervised and unsupervised algorithms for streaming data, and their implementation on various datasets using Python are also covered. You will: Understand machine learning with streaming data concepts / Review incremental and online learning / Develop models for detecting concept drift / Explore techniques for classification, regression, and ensemble learning in streaming data contexts / Apply best practices for debugging and validating machine learning models in streaming data context / Get introduced to other open-source frameworks for handling streaming data.
Next generation information technologies and systems ; 6th International Conference, NGITS 2006, Kebbutz Sehfayim, Israel, July 4-6, 2006, Proceedings
The selected papers may be classified roughly in ten broad areas: ? Information systems development ? Distributed systems ? Semi-structured data ? Data mining and agent-oriented computing ? User-oriented design ? Frameworks, models and taxonomies ? Simulation and incremental computing ? Information integration ? Security and privacy ? Next-generation applications This event is the culmination of efforts by many talented and dedicated individuals.
Introduction to Reliable Distributed Programming
Guerraoui and Rodrigues present an introductory description of fundamental reliable distributed programming abstractions as well as algorithms to implement these abstractions. The authors follow an incremental approach by first introducing basic abstractions in simple distributed environments, before moving to more sophisticated abstractions and more challenging environments. Each core chapter is devoted to one specific class of abstractions, covering reliable delivery, shared memory, consensus and various forms of agreement. This textbook comes with a companion set of running examples implemented in Java. These can be used by students to get a better understanding of how reliable distributed programming abstractions can be implemented and used in practice. Combined, the chapters deliver a full course on reliable distributed programming. The book can also be used as a complete reference on the basic elements required to build reliable distributed applications.
Innovations and Advanced Techniques in Computer and Information Sciences and Engineering
Innovations and Advanced Techniques in Computer and Information Sciences and Engineering is a collection of world class paper articles addressing the following topics: Signal and Image Processing: Content Based Video Retrieval, Character Recognition, Incremental Learning for Speech Recognition, Signal Processing Theory and Methods, and Vision-based Monitoring Systems. Software and Systems: Activity-Based Software Estimation, Algorithms, Genetic Algorithms, Information Systems Security, Programming Languages, Software Protection Techniques, Software Protection Techniques, and User Interfaces. Distributed Processing: Asynchronous Message Passing System, Heterogeneous Software Environments, Mobile Ad Hoc Networks, Resource Allocation, and Sensor Networks. Advanced and innovative techniques in computing: e-Science and Virtual Instrumentation, Fault-Tolerant Scheduling, Grid Computing, Microcracking in Cortical Bones, Service-oriented Architectures, and Virtualization in Data Warehouses.
Innovation Project Management : Methods, Case Studies, and Tools for Managing Innovation Projects
Specific ideas discussed in Innovation Project Management include: Continuous versus discontinuous innovation, incremental versus radical innovation, understanding innovation differences, and incremental innovation versus new product development Identifying core competencies using SWOT analysis and nondisclosure agreements, secrecy agreements, and confidentiality agreements Implications and issues for project managers and innovation personnel, active listening, pitching the innovation, and cognitive biases Measuring intangible assets, customer/stakeholder impact on value metrics, customer value management programs, and the relationship between project management and value
Inelastic analysis of solids and structures
This book presents computational procedures for the stress integration of inelastic constitutive relations within the incremental-iterative finite element analysis and general strain-driven problems of solids and structures.
Guide to Efficient Software Design : An MVC Approach to Concepts, Structures, and Models
This classroom-tested textbook presents an active-learning approach to the foundational concepts of software design. These concepts are then applied to a case study, and reinforced through practice exercises, with the option to follow either a structured design or object-oriented design paradigm. The text applies an incremental and iterative software development approach, emphasizing the use of design characteristics and modeling techniques as a way to represent higher levels of design abstraction, and promoting the model-view-controller (MVC) architecture.
Gene Therapy for Cancer
The possibility of treating cancer, a disease defined by genetic defects, by introducing genes targeting these very alterations has led to an immense interest in gene therapy for cancer. Although incremental successes have been realized, enthusiasm for gene therapy has declined due to an increasing number of obstacles. These obstacles include vector systems that do not reach systemic metastases, therapeutic genes with redundant mec- nisms allowing for cellular resistance, and toxicities in clinical trials leading to premature closure of these studies. Different tactics to overcome or circumvent these obstacles have catalyzed the development of a wide range of gene therapy approaches. Thus far, almost two-thirds of gene therapy trials have focused on cancer. This reflects the concept that gene therapy approaches for the treatment of cancer do not necessarily require long-term expression of the gene as is necessary for the treatment of primary genetic defects like hemophilia or juvenile diabetes.
Formalization of Banking Supervision : 19th–20th Centuries
Elaborate the formalization phase of banking supervision in eight developed countries—USA, Japan, Sweden, Germany, Switzerland, Belgium, France, and UK. This innovative study in the field of banking supervision history identifies why national histories of banking supervision share similarities, but also remain different and are heavily path dependent. This book will be of great interest not only to financial/economic historians but also to general readers interested in banking supervision, i.e., students, bankers, supervisors, and international officials.
Fluctuation Theory for Lévy Processes : Ecole d'Eté de Probabilités de Saint-Flour XXXV - 2005
Lévy processes, i.e. processes in continuous time with stationary and independent increments, are named after Paul Lévy, who made the connection with infinitely divisible distributions and described their structure. They form a flexible class of models, which have been applied to the study of storage processes, insurance risk, queues, turbulence, laser cooling, ... and of course finance, where the feature that they include examples having "heavy tails" is particularly important. Their sample path behaviour poses a variety of difficult and fascinating problems
Evolving Connectionist Systems : The Knowledge Engineering Approach
Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with open questions about future creation of new information models inspired by Nature. This edition includes new methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, transductive neuro-fuzzy inference, adaptive data and model integration, cellular automata and artificial life systems, particle swarm optimisation, ensembles of evolving systems, and quantum inspired neural networks. New applications to gene and protein interaction modelling, brain data analysis and brain model creation, computational neuro-genetic modelling, adaptive speech, image and multimodal recognition, language modelling, adaptive robotics, modelling dynamic financial and socio-economic systems, and ecological modelling, are covered. An important new feature of the book is the attempt to connect different structural and functional levels of a complex, intelligent system, looking for inspiration from functional relationships in natural systems, such as the genetic and the brain activity.
EQ-5D value sets
For various reasons, cost benefit analysis is usually rejected in favour of cost-effectiveness or cost-utility analyses, often involving the estimation of the incremental cost per Quality Adjusted Life Year (QALY) gained (Drummond et al, 2005). The estimation of QALYs gained requires valuations for all relevant health states on a scale anchored at 1 = Full health and 0 = Dead. The EQ-5D is widely used in this context and a number of value sets are available for all the health states generated by the EQ-5D descriptive system. These can be readily applied to health outcomes measured as EQ-5D profiles. EQ-5D has become one of the valuation approaches recommended by several reimbursement authorities and academic bodies in European countries
Energy minimization methods in computer vision and pattern recognition ; 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings
Contains critical issues of representation, learning, and inference. Important new themes include pr- abilistic grammars, image parsing, and the use of datasets with ground-truth to act as benchmarks for evaluating algorithms and as a way to train learning algorithms. Other themes include the development of efficient inference algorithms using advanced techniques from statistics, computer science, and applied mathematics. This book makes no distinction between oral and poster papers. It also contiants sections on al- rithms, applications, image parsing, image processing, motion, shape, and thr- dimensional processing.
