الصفحة 21
الصفحة 21
Dynamical Vision ; ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised Papers
Classical multiple-view geometry studies the reconstruction of a static scene - served by a rigidly moving camera. However, in many real-world applications the scene may undergo much more complex dynamical changes. For instance, the scene may consist of multiple moving objects (e.g., a trafic scene) or arti- lated motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, fire, or a waterfall). In addition, some applications may require interaction with the scene through a dynamical system (e.g., vision-guided robot navigation and coordination). To study the problem of reconstructing dynamical scenes, many new al- braic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based c- trol.
Dynamical Contact Problems with Friction : Models, Methods, Experiments and Applications
The aim of this book is to describe an efficient procedure to model dynamical contact problems with friction. This procedure is applied to different practical problems and verified by experiments. Friction contacts are used to transmit forces or to dissipate energy. Examples for dynamical engineering systems with friction are brakes, machine tools, motors, turbines, bearings or wheel-rail systems. A better understanding of friction phenomena result in improvements like the reduction of noise and maintenance costs, increased life time of machines and improved energy efficiency. Dependent on the features of the dynamic system with friction contacts, different contact models and solution methods like multi-scaling methods are developed and applied.
Dynamic planet : Monitoring and understanding a dynamic planet with geodetic and oceanographic tools
This book presents a set of papers on IAG Symposium, held on Cairns, Australia, 22-26 August, 2005
Dynamic General Equilibrium Modelling : Computational Methods and Applications
Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. Many mathematical tools are needed to solve these models. The book presents various methods for computing the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. Part II discusses methods for solving heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model.
Dynamic Asset Allocation with Forwards and Futures
DYNAMIC ASSET ALLOCATION WITH FORWARD AND FUTURES is an advanced text on the theory of forward and futures markets which aims at providing readers with a comprehensive knowledge of how prices are established and evolve over time, what optimal strategies one can expect from the participants, what characterizes such markets, and what major theoretical and practical differences distinguish futures from forward contracts. The book proposes an approach of these markets from the perspective of dynamic asset allocation and asset pricing theory within an inter-temporal framework. The main ingredients that are used are the assumed absence of frictions and arbitrage opportunities in financial and real markets, the uniqueness of the economic general equilibrium, when such an equilibrium is required and the tools of continuous time finance, namely martingale theory and stochastic dynamic programming. The scope of DYNAMIC ASSET ALLOCATION WITH FORWARD AND FUTURES is essentially theoretical, with emphasis on economic meaning and financial interpretation. Regarding investment and/or hedging, focus is on optimal strategies rather than on actual practice. Simulations, however, are performed when important insights can be delivered as to the practical relevance of some theoretical results. Also, optimal strategies using futures are shown to differ markedly from those using forwards. The following issues are examined: pure hedging, investment and hedging in complete or incomplete markets, currency risk, optimal spreading, presence of stochastic dividend or convenience yields, pricing of non-redundant futures or forwards by means of general equilibrium analysis, and revisiting of existing Capital Asset Pricing Models.
Driving digital transformation through data and AI : A practical guide to delivering data science and machine learning products
Explains how to build the organizational capability to deliver Data and AI products and drive immediate business results as new digital technologies significantly disrupt business Provides best practices, tools and templates for managing the organizational and technological change process to become an AI-driven enterprise Includes a variety of international case studies across several industries such as insurance, fashion, consumer goods, finance, technology and automotive Outlines how to develop a product strategy, build teams and design the platform and architecture Provides key principles for sharing knowledge, educating staff on data and AI, and effectively engaging top executives
Drawing with a tablet : Easy techniques for mastering digital drawing on location
learn step by step how to create amazing drawings while on the go. Shows sketchers how to take their digital drawing to the next level. Whether you are new to sketching or wish to try the latest technology, this useful guide shares expert tips and techniques for drawing on a tablet. With a focus on using the ProCreate tool, but with information that is relevant to other digital platforms, you will start with the basics, such as opening your file, choosing your resolution, determining your palette, and how to simplify your tools by creating a preferred set of brushes.Covers using layers and groups of layers, and shows you how to create a sketch from start to finish.
Drawing from the model : Fundamentals of digital drawing, 3D modeling, and visual programming in architectural design
Bridges traditional and contemporary methods of creating architectural design drawings and 3D models through digital tools and computational processes.
Domain Modeling and the Duration Calculus : International Training School, Shanghai, China, September 17-21, 2007, Advanced Lectures
The book presented provide competent coverage of software security, domain modeling of software engineering, and duration calculus for real time systems - originating from lectures of leading experts in these fields from Europe and Asia.It addressed in detail are: development of real-time systems, domain engineering using abstract modeling, the area of duration calculus, and formal methods like language description using the operational semantics approach.
Domain Decomposition Methods in Science and Engineering XVII
This volume contains a selection of papers presented at the 17th International Conference on Domain Decomposition Methods in Science and Engineering held at St. Wolfgang / Strobl, Austria, July 3 - 7, 2006. Domain decomposition is an active, interdisciplinary research area concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models. Domain decomposition techniques provide efficient tools for treating problems in all Computational Sciences. The reader will become familiar with the newest domain decomposition technologies and their use for modeling and simulating of complex problems from different fields of applications.
DNA Computing ; 7th International Workshop on DNA-Based Computers, DNA7, Tampa, FL, USA, June 10-13, 2001, Revised Papers
Constitutes the post-proceedings of the 7th International Workshop on DNA-Based Computers, held in Florida in 2001. The 26 papers cover experimental tools, theoretical tools, probabilistic computational models, computer simulation and sequence design, algorithms, experimental solutions and more.
Distributed, High-Performance and Grid Computing in Computational Biology ; International Workshop, GCCB 2006, International Workshop, GCCB 2006, Eilat, Israel, January 21, 2007, Proceedings
Modern computational biology and bioinformatics are characterized by large and complex structured data and by applications requiring considerable computing resources, such as processing units, storage elements and software programs. In addition, these disciplines are intrinsically geographically distributed in terms of their instruments, communities and computing resources. Tackling the computational challenges in computational biology and bioinformatics increasingly requires high-end and distributed computing infrastructures, systems and tools.
Distributed computing in sensor systems Vol. 4026 ; 2nd IEEE International Conference, DCOSS 2006, San Francisco, CA, USA, June 18-20, 2006, Proceedings
The book constitutes the refereed proceedings of the Second International Conference on Distributed Computing in Sensor Systems, DCOSS 2006, held in San Francisco, California, USA in June 2006. The papers focus on distributed computing issues in large-scale networked sensor systems, including systematic design techniques and tools; they cover topics such as distributed algorithms and applications, programming support and middleware, data aggregation and dissemination, security, information fusion, lifetime maximization, and localization.
Distributed computing in sensor systems ; Vol. 3560 ; 1st IEEE International Conference, DCOSS 2005, Marina del Rey, CA, USA, June 30-July 1, 2005, Proceedings
Constitutes the refereed proceedings of the First International Conference on Distributed Computing in Sensor Systems, DCOSS 2005, held in Marina del Rey, California, USA in June/July 2005. The 26 revised full papers presented were carefully reviewed and selected from 85 submissions; also included are the abstracts of 3 invited talks, 2 short papers, 9 invited poster abstracts, and 10 contributed abstracts.The papers address all current aspects of distributed computing issues in large-scale networked sensor systems, including systematic design techniques and tools, algorithms, and applications.
Distributed and Parallel Systems : In Focus : Desktop Grid Computing
In this book contributors investigate parallel and distributed techniques, algorithms, models and applications; present innovative software tools, environments and middleware; focus on various aspects of grid computing; and introduce novel methods for development, deployment, testing and evaluation.
Distributed and Parallel Systems : Cluster and Grid Computing
DAPSY (Austrian-Hungarian Workshop on Distributed and Parallel Systems) is an international conference series with biannual events dedicated to all aspects of distributed and parallel computing. DAPSY started under a different name in 1992 (Sopron, Hungary) as regional meeting of Austrian and Hungarian researchers focusing on transputer-related parallel computing; a hot research topic of that time. A second workshop followed in 1994 (Budapest, Hungary). As transputers became history, the scope of the workshop widened to include parallel and distributed systems in general and the 1st DAPSYS in 1996 (Miskolc, Hungary) reflected the results of these changes.
Discovery science ; Vol. 3735 ; 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings
This book constitutes the refereed proceedings of the 8th International Conference on Discovery Science, DS 2005, held in Singapore in October 2005, co-located with the International Conference on Algorithmic Learning Theory (ALT 2005). The 21 revised long papers and the 6 revised regular papers presented together with 9 project reports and 5 invited papers were carefully reviewed and selected from 112 submissions. The papers cover all issues in the area of automating scientific discovery or working on tools for supporting the human process of discovery in science.
Discovering Knowledge in Data : An Introduction to Data Mining
Provides the tools needed to thrive in today’s big data world. Demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”.
Discourse : A Concept for Information and Communication Sciences
This book examines discourse, an object of analysis and criticism, from a wide range of perspectives. Among the concepts explored are the contributions of rhetoric in the art of discourse, the evolution of multiple approaches and the main methods of discourse analysis conducted by a variety of researchers. The book deepens our knowledge and understanding of discourse, a concept on which any research related to information and communication can be based.
Digitalization and the Future of Financial Services : Innovation and Impact of Digital Finance
The aim of this book is to extend our understandings on how digitalization and the future of financial services can be helpful in different business circumstances in many cross-functional financial areas, such as financial markets, financial risk management, financial technologies, investment finance, etc. Thus, the book aims at addressing the relevance of digital finance for different players, highlighting differences in tools and processes as well as identifying innovative practices in financial digitalization.
