This volume aims to stimulate discussions on research involving the use of data and digital images as an understanding approach for analysis and visualization of phenomena and experiments. The emphasis is put not only on graphically representing data as a way of increasing its visual analysis, but also on the imaging systems which contribute greatly to the comprehension of real cases. Scientific Visualization and Imaging Systems encompass multidisciplinary areas, with applications in many knowledge fields such as Engineering, Medicine, Material Science, Physics, Geology, Geographic Information Systems, among others. This book is a selection of 13 revised and extended research papers presented in the International Conference on Advanced Computational Engineering and Experimenting -ACE-X conferences 2010 (Paris), 2011 (Algarve), 2012 (Istanbul) and 2013 (Madrid). The examples were particularly chosen from materials research, medical applications, general concepts applied in simulations and image analysis and other interesting related problems.
Cloud Computing Native KMU - so lässt sich kurz und prägnant der Inhalt des vorliegenden Buches zusammenfassen. Dargestellt werden Grundlagen, Anwendungen, Migrationsstrategien, Sicherheitskonzepte, betriebliches Datenmanagement, technologisches Umfeld, Cloud-Initiativen und die vielen nützlichen Helfer aus dem Internet. Beschrieben, strukturiert und analysiert wird der Cloud-Markt in all seinen vielfältigen Formen und Verästlungen. Dem weiterführenden Interesse dienen sorgfältig recherchierte Hyperlinks. So bekommt der Leser ein systematisches und umfassendes Bild vom Cloud Computing unter KMU-Bedingungen.. All dies dient der optimalen Cloud-Nutzung in kleinen und mittleren Unternehmen respektive in Freiberufler-Büros, HomeOffices oder Start-up-Firmen. Eine solche Vorgehensweise ist ratsam, um diese moderne Technologie samt Umfeld besser zu verstehen und die vorhandenen Angebote am Markt optimal für den eigenen Betrieb nutzen zu können. In diesem Zusammenhang werden auch folgende Fragen thematisiert: Was heißt ´Cloud-Readiness´ für KMU? Ab wann und für wen lohnt sich die Cloud? Brauchen wir eine KMU-eigene Cloud-Policy?
This volume contains invited and accepted contributions presented at the Nineteenth International Conference on Membrane Computing (CMC19, http://cmc19.uni-jena.de) which took place in Dresden (Germany) from 4 to 7 September 2018, organised by the Friedrich Schiller University Jena (Germany) together with the Jena Centre for Bioinformatics (JCB) under the auspices of the International Membrane Computing Society (IMCS). We appreciate the hospitality of the NH Hotel and Conference Centre Dresden-Neustadt. Taking place for the second time in Germany and for the first time in Dresden, CMC19 is pleased to continue the fruitful tradition of 18 previous events of the International Workshop and Conference on Membrane Computing (WMC/CMC) enriched by some new ideas and inspirations emphasising multidisciplinarity and innovative capacity and inspired by the idea of bringing together researchers working in membrane computing or related areas in a friendly atmosphere enhancing communication and cooperation.
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics.
A clear and thorough description of the latest versions of Fortran by leading experts in the field. It is intended for new and existing users of the language, and for all those involved in scientific and numerical computing. It is suitable as a textbook for teaching and as a handy reference for practitioners.
This book covers some of the tools and techniques used for building IOT applications using Cloud computing Tools. This book gives an insight into the overview of some open source tools that are used for building IoT systems. It gives an overview of Smart City applications and IOT protocols. The book is used for comprehensive study of IOT under Cloud environment. This is a useful guide for Undergraduate course in CS/IT.
Turing´s famous 1936 paper introduced a formal definition of a computing machine, a Turing machine. This model led to both the development of actual computers and to computability theory, the study of what machines can and cannot compute. This book presents classical computability theory from Turing and Post to current results and methods, and their use in studying the information content of algebraic structures, models, and their relation to Peano arithmetic. The author presents the subject as an art to be practiced, and an art in the aesthetic sense of inherent beauty which all mathematicians recognize in their subject. Part I gives a thorough development of the foundations of computability, from the definition of Turing machines up to finite injury priority arguments. Key topics include relative computability, and computably enumerable sets, those which can be effectively listed but not necessarily effectively decided, such as the theorems of Peano arithmetic. Part II includes the study of computably open and closed sets of reals and basis and nonbasis theorems for effectively closed sets. Part III covers minimal Turing degrees. Part IV is an introduction to games and their use in proving theorems. Finally, Part V offers a short history of computability theory. The author has honed the content over decades according to feedback from students, lecturers, and researchers around the world. Most chapters include exercises, and the material is carefully structured according to importance and difficulty. The book is suitable for advanced undergraduate and graduate students in computer science and mathematics and researchers engaged with computability and mathematical logic.
Service-oriented computing has become one of the predominant factors in IT research and development efforts over the last few years. In spite of several standardization efforts that advanced from research labs into industrial-strength technologies and tools, there is still much human effort required in the process of finding and executing Web services. Here, Dieter Fensel and his team lay the foundation for understanding the Semantic Web Services infrastructure, aimed at eliminating human intervention and thus allowing for seamless integration of information systems. They focus on the currently most advanced SWS infrastructure, namely SESA and related work such as the Web Services Execution Environment (WSMX) activities and the Semantic Execution Environment (OASIS SEE TC) standardization effort. Their book is divided into four parts: Part I provides an introduction to the field and its history, covering basic Web technologies and the state of research and standardization in the Semantic Web field. Part II presents the SESA architecture. The authors detail its building blocks and show how they are consolidated into a coherent software architecture that can be used as a blueprint for implementation. Part III gives more insight into middleware services, describing the necessary conceptual functionality that is imposed on the architecture through the basic principles. Each such functionality is realized using a number of so-called middleware services. Finally, Part IV shows how the SESA architecture can be applied to real-world scenarios, and provides an overview of compatible and related systems. The book targets professionals as well as academic and industrial researchers working on various aspects of semantic integration of distributed information systems. They will learn how to apply the Semantic Web Services infrastructure to automate and semi-automate tasks, by using existing integration technologies. In addition, the book is also suitable for advanced graduate students enrolled in courses covering knowledge management, the Semantic Web, or integration of information systems, as it will educate them about basic technologies for Semantic Web Services and general issues related to integration of information systems.
Dynamic Time Warping (DTW) is a well-known technique used to determine alignment between two temporal sequences. DTW has been used in wide range of applications and it can be applied on any data which can be represented as linear sequence. Existing DTW libraries have out dated implementation of core DTW algorithm, which result in low performance or are inapplicable for big sequences. The aim of this book is to present, detailed concept of DTW along with a comprehensive DTW library, encapsulating the implementation of DTW variants with recently proposed efficient algorithms. Further down the road, in this book I presented a python module for computing and visualizing DTW alignment: DTWPy. DTWPy has implementation of classical DTW and recently proposed performance efficient algorithms i.e. fastDTW and DDTW. Correctness of the algorithms is verified by comparing it with existing R implementation. This book gives the basic idea to the readers about what DTW is and DTWPy have the most comprehensive implementation of DTW algorithms present in literature to date, and is applicable on large temporal sequence.