الصفحة 2
الصفحة 2
Object-Oriented Technology. ECOOP 2007 Workshop Reader ; ECOOP 2007 Workshops, Berlin, Germany, July 30-31, 2007, Final Reports
Contains the reports from the workshopsheld at the 21st European Conference on Object-Oriented Programming - ECOOP 2007 - at Technische Universit] at Berlin. Nineteen workshops were heldin the courseofthis conference on July 30 and July 31, 2007, covering a large spectrum of hot research topics. As in previous editions of ECOOP, numerous scientists from academia and industry took the chance to present innovative and topical ideas in an environment ofering optimal conditions for exciting discussions and fruitful interactions. The Workshop Reader which contains the reports from the workshops has been a substantial part of the ECOOP conference for more than10 years
Object-Oriented Technology ; ECOOP 2006 Workshop Reader ; ECOOP 2006 Workshops, Nantes, France, July 3-7, 2006, Final Reports
ECOOP Workshop Reader, a c- pendium of workshop reports pertaining to the ECOOP 2006 conference, held in Nantes during July 3–7, 2006. ECOOP 2006 hosted 19 high-quality research workshops covering a large spectrum of hot research topics. These workshops were chosen through a tight peer review process following a speci?c call for proposals.
Object-Oriented Technology ; ECOOP 2001 Workshops, Panel, and Posters, Budapest, Hungary, June 18-22, 2001. Proceedings
For the ?fth time in its history, in cooperation with Springer-Verlag, the European C- ference on Object-Oriented Programming (ECOOP) conference series is glad to offer the object-oriented research community the ECOOP 2001 Workshop Reader, a c- pendium of workshop reports, panel transcripts, and poster abstracts pertaining to the ECOOP 2001 conference, held in Budapest from 18 to 22 June, 2001. ECOOP 2001 hosted 19 high-quality workshops covering a large spectrum of - search topics. The workshops attracted 460 participants on the ?rst two days of the conference. Originally 22 workshops were chosen from 26 proposals by a workshop selection committee, following a peer review process. Due to the overlaps in the areas of interest and the suggestions made by the committee six of the groups decided to merge their topicsintothreeworkshops.
Object-Oriented Programming Languages : Interpretation
This comprehensive examination of the main approaches to object-oriented language explains the key features of the languages in use today. Class-based, prototypes and Actor languages are all looked at and compared in terms of their semantic concepts. In providing such a wide-ranging comparison, this book provides a unique overview of the main approaches to object-oriented languages.
Object-Oriented Programming and Java
Object-Oriented Programming and Java presents two important topics in contemporary software development: object-oriented programming and Java. This book takes a different teaching approach from most available literature, it begins with the description of real-world object interaction scenarios and explains how they can be translated, represented and executed using object-oriented programming paradigm.
Objective information theory
Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the information from mathematical properties, and models the information from concept, logic, and physic. As the exemplified applications, Air Traffic Control System (ATCS) and Smart Court SoSs (System of Systems) are introduced for practical OITs.
Object detection with deep learning models : Principles and applications
Discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval / A structured overview of deep learning in object detection / A diversified collection of applications of object detection using deep neural networks / Emphasize agriculture and remote sensing domains / Exclusive discussion on moving object detection
Numerical Methods Using Java : For Data Science, Analysis, and Engineering
Covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. You will: Program in Java using a high-performance numerical library / Learn the mathematics for a wide range of numerical computing algorithms / Convert ideas and equations into code / Put together algorithms/ and classes to build your own engineering solution / Build solvers for industrial optimization problems / Do data analysis using basic and advanced statistics
Numerical Methods and Applications ; 6th International Conference, NMA 2006, Borovets, Bulgaria, August 20-24, 2006, Revised Papers
This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on Numerical Methods and Applications, NMA 2006. The papers are organized in topical sections on numerical methods for hyperbolic problems, robust preconditioning solution methods, Monte Carlo and quasi-Monte Carlo for diverse applications, metaheuristics for optimization problems, uncertain/control systems and reliable numerics, interpolation and quadrature processes, large-scale computations in environmental modelling, and contributed talks.
Numerical computation, data analysis and software in mathematics and engineering
Include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed.
Numerical analysis
Introduces readers to the theory and application of modern numerical approximation techniques. Providing an accessible treatment that only requires a calculus prerequisite, the authors explain how, why, and when approximation techniques can be expected to work-and why, in some situations, they fail. A wealth of examples and exercises develop readers' intuition, and demonstrate the subject's practical applications to important everyday problems in math, computing, engineering, and physical science disciplines.
Nonlinear dynamics in complex systems via fractals and fractional calculus
Current advances in the knowledge of nonlinear dynamical networks, systems and processes, as well as their unified repercussions, allow us to include some typical complex natural phenomena, from the nanoscale to an extra-galactic scale, in an unitarian comprehensive manner. In other words, the physical, biological and financial data, as well as technological ones (mechanical or electronic devices), of complex systems available today can be managed by the same unique conceptual approach, both analytically and through a computer simulation, using effective nonlinear dynamics procedures. This volume collected some important advances in the fields of fractal curves, fractal analysis and fractional calculus, as well as new solutions of fractal differential equations.
Nonlinear Dimensionality Reduction
This book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. Methods are compared with each other with the help of different illustrative examples. The purpose of the book is to summarize clear facts and ideas about well-known methods as well as recent developments in the topic of nonlinear dimensionality reduction. With this goal in mind, methods are all described from a unifying point of view, in order to highlight their respective strengths and shortcomings.
Nonlinear Analyses and Algorithms for Speech Processing ; International Conference on Non-Linear Speech Processing, NOLISP 2005, Barcelona, Spain, April 19-22, 2005, Revised Selected Papers
We present in this volume the collection of ?nally accepted papers of NOLISP 2005 conference. It has been the third event in a series of events related to N- linear speech processing, in the framework of the European COST action 277 “Nonlinear speech processing”. Many speci?cs of the speech signal are not well addressed by conv- tional models currently used in the ?eld of speech processing. The purpose of NOLISP is to present and discuss novel ideas, work and results related to alternative techniques for speech processing, which depart from mainstream approaches. With this intention in mind, we provide an open forum for discussion. Alt- nate approaches are appreciated, although the results achieved at present may not clearly surpass results based on state-of-the-art methods. The call for papers was launched at the beginning of 2005, addressing the following domains: 1. Non-Linear Approximation and Estimation 2. Non-Linear Oscillators and Predictors 3. Higher-Order Statistics 4. Independent Component Analysis 5. Nearest Neighbors 6. Neural Networks 7. Decision Trees 8. Non-Parametric Models 9. Dynamics of Non-Linear Systems 10. Fractal Methods 11. Chaos Modeling 12. Non-Linear Di?erential Equations 13. Others All the main ?elds of speech processing are targeted by the workshop, namely: 1. Speech Coding:Thebit rateavailablefor speechsignalsmustbe strictly l- ited in order to accommodate the constraints of the channel resource.
Next Generation Transport Networks : Data, Management, and Control Planes
Next Generation Transport Networks: Data, Management, and Control Planes provides a tutorial and reference information for next generation telecommunication network technologies. This insightful and accessible overview includes key technologies that comprise the backbone of the networking infrastructure.
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.
News bot
The process of gathering and organizing news content has become a challenging task for emerging news sites, necessitating the employment of highly experienced personnel with specialized skills in the field. However, recent advancements in artificial intelligence technology have led to the development of news bots that can efficiently fetch, classify, and rephrase news content from various sources, enabling users to access the latest and well-formulated news without the need for RSS (Really Simple Syndication).
New Trends in Applied Artificial Intelligence ; 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems. IEA/AIE 2007, Kyoto, Japan, June 26-29, 2007, Proceedings
The 20 International Conference on Industrial, Engineering and Other Applications of Applied Intelligent S- tems (IEA/AIE-2007) held in Kyoto, Japan presented such work performed by many scientists worldwide. The previous IEA/AIE conference held in Japan was the Ninth International Conference on Industrial and Engineering Applications of Arti?cial Intelligence and Expert systems (IEA/AIE-1996) in Fukuoka in 1996.
New Trends and Technologies in Computer-Aided Learning for Computer-Aided Design ; IFIP International Working Conference: EduTech 2005, Perth, Australia, October 20-21, 2005
Computation and communication technologies underpin work and development in many different areas. Among them, Computer-Aided Design of electronic systems and E-Learning technologies are two areas which are different but share many concerns. The design of CAD and E-Learning systems already touches on a number of parallels, such as system interoperability, user interfaces, standardization, EML-based formats, reusability aspects (of content or designs), and intellectual property rights. Furthermore, the teaching of Design Automation tools and methods is particularly amenable to a distant or blended learning setting, and implies the interconnection of typical CAD tools, such as simulators or synthesis tools, with e-learning tools. There are many other aspects in which synergy can be found when using E-Learning technology for teaching and learning technology. This workshop, sponsored by IFIP WG 10.5 Design and Engineering of Electronic Systems in cooperation with IFIP WG 3.6 Distance Education, will explore the interrelationship between these two subjects, where Computer-Aided Design meets Computer-Aided Learning. New Trends and Technologies in Computer-Aided Learning for Computer-Aided Design documents recent approaches and results presented at the EduTech 2005 Workshop, which was held in October 2005 in Perth, Australia and sponsored by the International Federation for Information Processing (IFIP). The topics chosen for this working conference are very timely: learning environments, tools and applications for education, education technologies and trends, and teaching in the hardware design area.
New Stream Cipher Designs : The eSTREAM Finalists
The goal of eSTREAM was to promote the design of new stream ciphers with a particular emphasis on algorithms that would be either very fast in software or very resource-efficient in hardware. Algorithm designers were invited to submit new stream cipher proposals to eSTREAM, and 34 candidates were proposed from around the world. Over the following years the submissions were assessed with regard to both security and practicality by the cryptographic community, and the results were presented at major conferences and specialized workshops dedicated to the state of the art of stream ciphers.
