الصفحة 3
الصفحة 3
New Business Models for the Reuse of Secondary Resources from WEEEs : The FENIX Project
This book summarizes research being pursued within the FENIX project, funded by the EU community under the H2020 programme, the goal of which is to design a new product service paradigm able to promote innovative business models, to open added value to the vessels and to create new market segments. It experiments and validates its approach on three new concepts of added-value specialized vessels able to run requested services for several maritime sectors in the most effective, efficient, economic valuable and eco-friendly way. The three vessels share the same lean design methodology, IoT tools and HPC simulation strategy: a lean fact-based design model approach, which combines real operative data at sea with lean methodology, to support the development and implementation of the vessel concepts; IT customized tools to enable the acquisition, processing and usage of on board and local weather data, through an IoT platform, to provide business services to different stakeholders; HPC simulation, providing a virtual towing tank environment, for early vessel design improvement and testing. The book demonstrates that an integrated LCC analysis and LCC strategy to guarantee sustainability to vessels concepts and the proper environmental attention inside the maritime industry.
New Algorithms, Architectures and Applications for Reconfigurable Computing
New Algorithms, Architectures and Applications for Reconfigurable Computing consists of a collection of contributions from the authors of some of the best papers from the Field Programmable Logic conference (FPL’03) and the Design and Test Europe conference (DATE’03).
Neuroscribe = نيوروسكرايب
Neuroscribe is a cutting-edge deep learning framework designed to address the complexities and inefficiencies encountered in existing frameworks like PyTorch and TensorFlow. Aimed at streamlining model development and enhancing performance across diverse hardware environments, NeuroScribe offers a lightweight and flexible solution. The framework features a robust tensor library, an auto-differentiation engine, a comprehensive neural network module, and advanced optimization algorithms. With built-in visualization tools and a user-friendly interface, NeuroScribe simplifies both beginner and advanced workflows. Its cross-platform compatibility, supported by CUDA and Metal Performance Shaders (MPS), ensures optimal performance, and in some scenarios, NeuroScribe demonstrates superior speed compared to leading frameworks. Additionally, NeuroScribe introduces unique libraries and features not found in other frameworks, further enhancing its versatility and appeal. The modular architecture and automatic system detection further enhance its adaptability, making NeuroScribe a versatile and powerful tool for deep learning practitioners.
Neurobiology of Human Values
Man has been pondering for centuries over the basis of his own ethical and aesthetic values. Until recent times, such issues were primarily fed by the thinking of philosophers, moralists and theologists, or by the findings of historians or sociologists relating to universality or variations in these values within various populations. Science has avoided this field of investigation within the confines of philosophy. Beyond the temptation to stay away from the field of knowledge science may also have felt itself unconcerned by the study of human values for a simple heuristic reason, namely the lack of tools allowing objective study. For the same reason, researchers tended to avoid the study of feelings or consciousness until, over the past two decades, this became a focus of interest for many neuroscientists
Neuroanatomy for the Neuroscientist
Neurology, more than any other system of medicine, is rooted in the firm knowledge of basic science material (i.e., the anatomy, physiology, and pathology of the nervous system). This material enables students to readily arrive at diagnoses and to apply their knowledge at solving problems in clinical situations. Neuroanatomy for the Neuroscientist gives neuroscientists the tools to teach this material at levels appropriate for students at several levels of study, including undergraduate, graduate, dental, and medical school. The text also provides an updated approach to lesion localization in neurology, utilizing the techniques of computerized axial tomography (CT scanning), magnetic resonance imaging (MRI), and magnetic resonance angiography (MRA). Multiple illustrations demonstrating the value of these techniques in clinical neurology and neuroanatomical localization has been provided.
Neural Networks in a Softcomputing Framework
This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model.
Network-Based Information Systems ; 2nd International Conference, NBiS 2008, Turin, Italy, September 1-5, 2008. Proceedings
Constitutes the refereed proceedings of the Second International Conference on Network-Based Information Systems, NBIS 2008, held in Turin, Italy, September 1-5, 2008 in conjunction with Dexa 2008.The 32 revised full papers presented were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on wireless networks; heterogeneous networks; ad hoc networks; P2P, grid and internet computing; ad hoc and sensor networks; intelligent algorithms and systems; secure systems and applicatinos as well as network tools and architectures.
Network Science, Nonlinear Science and Dynamic Game Theory Applied to the Study of Infrastructure Systems
Network Science, Nonlinear Science and Infrastructure Systems has been written by leading scholars in these areas. Its express purpose is to develop common theoretical underpinnings to better solve modern infrastructural problems. It is felt by many who work in these fields that many modern communication problems, ranging from transportation networks to telecommunications, Internet, supply chains, etc., are fundamentally infrastructure problems. Moreover, these infrastructure problems would benefit greatly from a confluence of theoretical and methodological work done with the areas of Network Science, Dynamical Systems and Nonlinear Science. This book is dedicated to the formulation of infrastructural tools that will better solve these types of infrastructural problems.
Network and Parallel Computing ; IFIP International Conference, NPC 2007, Dalian, China, September 18-21, 2007, Proceedings
The goal of NPC is to establish an international forum for researchers and practitioners to present their - cellent ideas and experiences in all system fields of network and parallel computing. The main focus of NPC 2007 was on the most critical areas of network and parallel computing: network applications, network technologies, network and parallel arc- tectures, and parallel and distributed software.
Neonatal Pain : Suffering, Pain and Risk of Brain Damage in the Fetus and Newborn
Until the 1980s it was denied that fetuses and neonates feel pain. With the advent of a deeper understanding of the pathophysiology and new diagnostic tools, the last 30 years have seen great developments in this field. This volume aims to give an overview of current knowledge in the field.
Neo-Liberalism, Globalization and Human Capital Learning : Reclaiming Education for Democratic Citizenship
Throughout the world, neoliberalism functions to decouple learning from the most important elements of civic education, transforming education into training and students into consumers. Neoliberalism, Globalization, and Human Capital Learning is an enormously important book that reveals in painstaking detail how neoliberal ideology destroys critical education. But it does much more. It also provides the insights and tools for educators to both overcome the market-based attack on critical education and address schooling as a democratic public sphere and the classroom as a laboratory for the nurturing of critical agency and social responsibility. This dynamic book should stir a public outcry among concerned citizens and educators through out the globe.
Nearest Neighbor Search : A Database Perspective
Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series). Examples of such emerging application domains are: Geographical Information Systems (GIS), Multimedia Information Systems, CAD/CAM, Time-Series Analysis, Medical Information Sstems, On-Line Analytical Processing (OLAP), and Data Mining. These applications pose diverse requirements with respect to the information and the operations that need to be supported. From the database perspective, new techniques and tools therefore need to be developed towards increased processing efficiency. This monograph explores the way spatial database management systems aim at supporting queries that involve the space characteristics of the underlying data, and discusses query processing techniques for nearest neighbor queries. It provides both basic concepts and state-of-the-art results in spatial databases and parallel processing research, and studies numerous applications of nearest neighbor queries.
Nanotechnology-Enabled Sensors
Nanotechnology provides us with tools to create functional materials, devices, and systems by controlling materials at the atomic and molecular scales, and at the same time make use of novel properties and phenomena. Considering that most chemical and biological sensors, as well as many physical sensors, depend on interactions occurring within the nano scale range, the impact that nanotechnology will have on the sensor world is significant. Nanotechnology enabled sensors find applications in several novel fields such as sensing single molecules, bio-hazards, toxic chemicals, gas sensors, process control and diagnostics.
Nanoscience : Nanotechnologies and Nanophysics
Nanotechnologies and nanosciences are a fast-developing field of research, which sit at the point of convergence of several disciplines (physics, chemistry, biology, mechanics, etc.). This practically-oriented overview is designed to provide students and researchers with essential information on both the tools of manufacture and specific features of the nanometric scale, as well as applications within the most active fields (electronics, magnetism, information storage, biology).
Nanoscale Phenomena : Basic Science to Device Applications
Nanotechnology is the result of the continuing technological trend toward device miniaturization and the characterization, manipulation, and fine control of structure and function at diminishing length scales. A large class of nanoscale materials can be stable even though they are far from the lowest-energy thermodynamic state, and many possess novel properties unattainable in bulk. These trends are supported by the increasing sophistication of characterization and fabrication tools such as the scanning tunneling microscope and the transmission electron microscope, which allow the resolution and manipulation of single atoms and molecules.
Nanoparticles in Biomedical Imaging : Emerging Technologies and Applications
Fundamental Biomedical Technologies features titles in multidisciplinary, technology-driven areas, providing the foundations for breakthrough advances in medicine and biology. The term technology refers, in a vigorously unrestrictive sense, to a broad array of engineering disciplines, the sciences of computation and informatics, mathematical models exploiting and advancing methods of mathematical physics, and the development of novel, experimental discovery devices. Titles in this series are designed and selected to provide high-level visionary input for specialists, while presenting overviews of emerging fields for those in related areas. Volumes in this series aim to provide technologists with the material to gain competent entry into biomedical research and biomedical researchers to understand and embrace novel technological foundations and tools.
Nanoinformatics
Brings out the state of the art on how informatics-based tools are used and expected to be used in nanomaterials research. There has been great progress in the area in which “big-data” generated by experiments or computations are fully utilized to accelerate discovery of new materials, key factors, and design rules. Data-intensive approaches play indispensable roles in advanced materials characterization. "Materials informatics" is the central paradigm in the new trend. "Nanoinformatics" is its essential subset, which focuses on nanostructures of materials such as surfaces, interfaces, dopants, and point defects, playing a critical role in determining materials properties. There have been significant advances in experimental and computational techniques to characterize individual atoms in nanostructures and to gain quantitative information. The collaboration of researchers in materials science and information science is growing actively and is creating a new trend in materials science and engineering.
Multi-Sensor Data Fusion : An Introduction
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
Multiscale Problems in the Life Sciences : From Microscopic to Macroscopic
The aim of this volume that presents Lectures given at a joint CIME and Banach Center Summer School, is to offer a broad presentation of a class of updated methods providing a mathematical framework for the development of a hierarchy of models of complex systems in the natural sciences, with a special attention to Biology and Medicine. Mastering complexity implies sharing different tools requiring much higher level of communication between different mathematical and scientific schools, for solving classes of problems of the same nature. Today more than ever, one of the most important challenges derives from the need to bridge parts of a system evolving at different time and space scales, especially with respect to computational affordability. As a result the content has a rather general character; the main role is played by stochastic processes, positive semigroups, asymptotic analysis, kinetic theory, continuum theory and game theory.
Multiscale Methods : Averaging and Homogenization
This introduction to multiscale methods gives readers a broad overview of the many uses and applications of the methods. The book begins by setting the theoretical foundations of the subject area, and moves on to develop a unified approach to the simplification of a wide range of problems which possess multiple scales, via perturbation expansions; differential equations and stochastic processes are studied in one unified framework. The book concludes with an overview of a range of theoretical tools used to justify the simplified models derived via the perturbation expansions.
