الصفحة 2
الصفحة 2
Enterprise interoperability : New challenges and approaches
Interoperability: the ability of a system or a product to work with other systems or products without special effort from the user is a key issue in manufacturing and industrial enterprise generally. It is fundamental to the production of goods and services quickly and at low cost at the same time as maintaining levels of quality and customisation. Interoperability is achieved if internal and external collaborators can interact on at least three levels: data, applications and business enterprise (through the architecture of an enterprise model and making allowance for the semantics of both partners). Not only a problem of software and IT technologies, it implies support for communication and transactions between different organisations that must be based on shared business references. Today, a new and important consideration must be taken into account – economic business evaluation and the definition of dissemination policy.
Elasticity and Plasticity of Large Deformations : An Introduction
The book presents in detail the used mathematical tools, such as tensor algebra and analysis. The general theory of mechanical behavior is particularized for the broad and important classes of elasticity and plasticity. The book is intended to bring the reader close to the fields of today's research activities. A list of notations and an index help the reader to find specific topics.
Elasticity and Plasticity of Large Deformations : An Introduction
The book offers a careful introduction to modern non-linear mechanics. The used mathematical tools, such as tensor algebra and analysis are given in detail. The general theory of mechanical behaviour is particularized for the broad and important classes of elasticity and plasticity. It is intended to bring the reader close to the fields of today's research activities. A list of notations and an index help the reader to find specific topics. The book is based on three decades of teaching experience in this field.
ECOOP 2007 – Object-Oriented Programming ; 21th European Conference, Berlin, Germany, July 30 - August 3, 2007, Proceedings
This book contains sections on runtime implementation, empirical studies, programs and predicates, language design, inheritance and derivation, aspects, as well as language about language.
ECOOP 2005 - object-oriented programming ; 19th European Conference, Glasgow, UK, July 25-29, 2005. Proceedings
The 19th Annual Meeting of the European Conference on Object-Oriented Programming—ECOOP 2005—took place during the last week of July in Glasgow, Scotland, UK. This volume includes the refereed technical papers p- sented at the conference, and two invited papers. It is traditional to preface a volume of proceedings such as this with a note that emphasizes the importance of the conference in its respective ?eld. Although such self-evaluations should always be taken with a large grain of salt, ECOOP is undisputedly the pre- inent conference on object-orientation outside of the United States. In its turn, object-orientationis today’s principaltechnology not only for programming,but also for design, analysisand speci?cation of softwaresystems.
Drawing Ideas
Focuses on the three key types of drawing, explanatory sketches, notational sketches and visual narratives that help designers think through and communicate their ideas. Through these three fundamentals, Drawing Ideas provides a thorough course in creating clear graphic layouts and diagrams, including expressive human forms, thumbnailing a process, adding effective colour and text and more. In addition, a drawing boot camp provides a refesher course in accurately drawing geometric forms. By getting back to the basics, readers will not only benefit from updated freehand drawing skills, but will also succeed in presenting and explaining their drawings and designs to others.
Discrete Mathematics Using a Computer
Discrete Mathematics Using a Computer offers a new, "hands-on" approach to teaching Discrete Mathematics. Using software that is freely available on Mac, PC and Unix platforms, the functional language Haskell allows students to experiment with mathematical notations and concepts -- a practical approach that provides students with instant feedback and allows lecturers to monitor progress easily.
Diagrammatic representation and inference ; 4th International conference, Diagrams 2006, Stanford, CA, USA, June 28-30, 2006, Proceedings
Proceedings of the 4th International Conference on Theory and Application of Diagrams, Stanford, CA, USA in June 2006. 13 revised full papers, 9 revised short papers, and 12 extended abstracts are presented together with 2 keynote papers and 2 tutorial papers. The papers are organized in topical sections on diagram comprehension by humans and machines, notations: history, design and formalization, diagrams and education, reasoning with diagrams by humans and machines, and psychological issues in comprehension, production and communication.
Determining Spectra in Quantum Theory
The main objective of this book is to give a collection of criteria available in the spectral theory of selfadjoint operators, and to identify the spectrum and its components in the Lebesgue decomposition. at the total spectral measure associated with it;often studying such ameasure meant looking at some transform of the measure. The transforms were of the form f,?(A)f which is expressible, by the spectral theorem, as ?(x)dµ (x) for some finite measure µ . The two most widely used functions were the sx ?1 exponential function?(x)=e and the inverse function?(x)=(x?z) . These functions are “usable” in the sense that they can be manipulated with respect to addition of operators, which is what one considers most often in the spectral theory of Schrodinger type operators. Starting with this basic structure we look at the transforms of measures from which we can recover the measures and their components in Chapter 1. In Chapter 2 we repeat the standard spectral theory of selfadjoint op- ators. The spectral theorem is given also in the Hahn–Hellinger form. Both Chapter 1 and Chapter 2 also serve to introduce a series of definitions and notations, as they prepare the background which is necessary for the criteria in Chapter 3.
Deep learning and computer vision in remote sensing-II
Computer vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing. Papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems, have been published. With practical examples and real-world case studies, this reprint provides a valuable resource for researchers, professionals, and students seeking to harness the power of deep learning in the field of remote sensing.
Deep learning and computer vision in remote sensing-I
In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
Data Mining and Bioinformatics ; 1st International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers
This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd International Conference on Very Large Data Bases (VLDB). The purpose of this workshop was to begin bringing - gether researchersfrom database, data mining, and bioinformatics areas to help leverage respective successes in each to the others.
Data Integration in the Life Sciences ; Vol. 4075 ; 3rd International Workshop, DILS 2006, Hinxton, UK, July 20-22, 2006, Proceedings
Data management and data integration are fundamental problems in the life sciences. Advances in molecular biology and molecular medicine are almost u- versallyunderpinned by enormouse?orts in data management,data integration, automatic data quality assurance, and computational data analysis. Many hot topics in the life sciences, such as systems biology, personalized medicine, and pharmacogenomics, critically depend on integrating data sets and applications producedby di?erent experimentalmethods, in di?erent researchgroups,andat di?erent levels of granularity.
Data integration in the life sciences ; Vol. 3615 ; 2nd international workshop, DILS 2005, San Diego, CA, USA, July 20-22, 2005, Proceedings
Constitutes the refereed proceedings of the Second International Workshop on Data Integration in the Life Sciences, DILS 2005, held in San Diego, CA, USA in July 2005. The papers are organized in sections on user applications, ontologies, data integration, and others, and address the issues in data integration from the life science point of view.
Data Integration in the Life Sciences ; 5th International Workshop, DILS 2008, Evry, France, June 25-27, 2008. Proceedings
This book constitutes the refereed proceedings of the 5th International Workshop on Data Integration in the Life Sciences, DILS 2008, held in Evry, France in June 2008.
Data Integration in the Life Sciences ; 4th International Workshop, DILS 2007, Philadelphia, PA, USA, June 27-29, 2007, Proceedings
it cover a wide spectrum of theoretical and practical issues including scienti?c work?ows, - notation in data integration, mapping and matching techniques, and modeling of life science data. It presenting research on new models, methods, or algorithms and 6 papers presenting imp- mentation of systems or experience with systems in practice.
Current trends in database technology - EDBT 2006 ; EDBT 2006 Workshop PhD, DataX, IIDB, IIHA, ICSNW, QLQP, PIM, PaRMa, and Reactivity on the Web, Munich, Germany, March 26-31, 2006, Revised Selected Papers
This book constitutes the thoroughly refereed joint post-proceedings of nine workshops held as part of the 10th International Conference on Extending Database Technology, EDBT 2006, held in Munich, Germany in March 2006. The 70 revised full papers presented were selected from numerous submissions during two rounds of reviewing and revision.
Core Java ; Vol. I : Fundamentals ; 12th ed.
The definitive guide to writing robust, maintainable code. Whatever version of Java you are using—up to and including Java 17—this book will help you achieve a deep and practical understanding of the language and APIs. With hundreds of realistic examples, Cay S. Horstmann reveals the most powerful and effective ways to get the job done.
Concurrency Theory : Calculi an Automata for Modelling Untimed and Timed Concurrent Systems
Concurrency Theory is a synthesis of one of the major threads of theoretical computer science research focusing on languages and graphical notations for describing collections of simultaneously evolving components that interact through synchronous communication. The main specification notation focused on in this book is LOTOS. An extensive introduction to this particular process calculus is given, highlighting how the approach differs from competitor techniques, such as CCS and CSP.
Computing Meaning : Vol.3
This book provides an in-depth view of the current issues, problems and approaches in the computation of meaning as expressed in language. Aimed at linguists, computer scientists, and logicians with an interest in the computation of meaning, this book focuses on two main topics in recent research in computational semantics. The first topic is the definition and use of underspecified semantic representations, i.e. formal structures that represent part of the meaning of a linguistic object while leaving other parts unspecified. The second topic discussed is semantic annotation. Annotated corpora have become an indispensable resource both for linguists and for developers of language and speech technology, especially when used in combination with machine learning methods. The annotation in corpora has only marginally addressed semantic information, however, since semantic annotation methodologies are still in their infancy. This book discusses the development and application of such methodologies.
