This book constitutes the refereed proceedings of the 11th International Conference on Software Reuse, ICSR 2009, held in Falls Church, VA, USA, in September 2009. The 28 full papers were caryfully selected from numerous submissions. 2009 was the year that ICSR went back to its roots. The theme was Formal Foundations of Reuse and Domain Engineering. The theory and formal foundations that underlie current reuse and domain engineering practice were explored and current advancements to get an idea of where the field of reuse was headed, were looked at. Many of the papers in these proceedings reflect that theme, e.g. component reuse and verification, feature modeling, generators and model-driven development, industry experience, product lines, reuse and patterns, service-oriented environments.

th This volume contains a selection of 41 refereed papers presented at the 18 International Conference of Domain Decomposition Methods hosted by the School of ComputerScience and Engineering(CSE) of the Hebrew Universityof Jerusalem, Israel, January 12–17, 2008. 1 Background of the Conference Series The International Conference on Domain Decomposition Methods has been held in twelve countries throughout Asia, Europe, the Middle East, and North America, beginning in Paris in 1987. Originally held annually, it is now spaced at roughly 18-month intervals. A complete list of past meetings appears below. The principal technical content of the conference has always been mathematical, but the principal motivation has been to make ef cient use of distributed memory computers for complex applications arising in science and engineering. The leading 15 such computers, at the “petascale” characterized by 10 oating point operations per second of processing power and as many Bytes of application-addressablem- ory, now marshal more than 200,000 independentprocessor cores, and systems with many millions of cores are expected soon. There is essentially no alternative to - main decomposition as a stratagem for parallelization at such scales. Contributions from mathematicians, computerscientists, engineers,and scientists are together n- essary in addressing the challenge of scale, and all are important to this conference.

This book illustrates the importance and significance of the molecular (physical and chemical) and evolutionary (gene fusion) principles of protein-protein and domain-domain interactions towards the understanding of cell division, disease mechanism and target definition in drug discovery. It describes the complex issues associated with this phenomenon using cutting edge advancement in Bioinformatics and Bioinformation Discovery. The chapters provide current information pertaining to the types of protein-protein complexes (homodimers, heterodimers, multimer complexes) in context with various specific and sensitive biological functions. The significance of such complex formation in human biology in the light of molecular evolution is also highlighted using several examples. The chapters also describe recent advancements on the molecular principles of protein-protein interaction with reference to evolution towards target identification in drug discovery. Finally, the book also elucidates a comprehensive yet a representative description of a large number of challenges associated with the molecular interaction of proteins.

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This book offers a comparative analysis of the domain name registration systems utililsed in Australia and the United Kingdom. Taking an international perspective, the author analyses the global trends and dynamics of the domain name registration systems and explores the advantages and disadvantages of restrictive and less restrictive systems by addressing issues of consumer protection. The book examines the regulatory frameworks in the restrictive and unrestrictive registration systems and considers recent developments in this area. Jenny Ng also examines the legal and economic implications of these regulatory frameworks, drawing upon economic theory, regulatory and systems theory as well as applying rigorous legal analysis. In doing so, this work proposes ways in which such systems could be better designed to reflect the needs of the specific circumstances in individual jurisdictions. The Domain Name Registration System will be of particular interest to academics and students of IT law and e-commerce.

This book describes how domain knowledge can be used in the design of interactive systems. It includes discussion of the theories and models of domain, generic domain architectures and construction of system components for specific domains. It draws on research experience from the Information Systems, Software Engineering and Human Computer Interaction communities.

This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition. Topics and features: reviews the domain adaptation-based machine learning algorithms available for visual understanding, and provides a deep metric learning approach; introduces a novel unsupervised method for image-to-image translation, and a video segment retrieval model that utilizes ensemble learning; proposes a unique way to determine which dataset is most useful in the base training, in order to improve the transferability of deep neural networks; describes a quantitative method for estimating the discrepancy between the source and target data to enhance image classification performance; presents a technique for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an original interpolation-based approach to address the issue of tracking model degradation in correlation filter-based methods. This authoritative work will serve as an invaluable reference for researchers and practitioners interested in machine learning-based visual recognition and understanding.