الصفحة 21
الصفحة 21
eIoT : The Development of the Energy Internet of Things in Energy Infrastructure
This book explores the collision between the sustainable energy transition and the Internet of Things (IoT). In that regard, this book’s arrival is timely. Not only is the Internet of Things for energy applications, herein called the energy Internet of Things (eIoT), rapidly developing but also the transition towards sustainable energy to abate global climate is very much at the forefront of public discourse. It is within the context of these two dynamic thrusts, digitization and global climate change, that the energy industry sees itself undergoing significant change in how it is operated and managed. The goal of this book is to provide a single integrated picture of how eIoT can come to transform our energy infrastructure. This book links the energy management change drivers mentioned above to the need for a technical energy management solution. It, then, describes how eIoT meets many of the criteria required for such a technical solution.
Efficient Learning Machines : Theories, Concepts, and Applications for Engineers and System Designers
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques.
Economic Analysis of Information System Investment in Banking Industry
Explains in reahty, examines theoretically, and analyzes statistically information system investment in the banking industry with regard to the process of the information technology revolution. This kind of comprehensive research on the banking industry is the first in the world. It could be seen as an application study for Japanese financial deregulation after 1997. However, our project, the Workshop of Information System Investment, is a theoretical research venture, consisting originally, when it began in 1994, of economists and computer scientists. It aimed to measure the effect of com puter hardware and software on the modern economy, based on the microdata of each firm, and to extend the frontiers of economic science. It was, coin- dentally, the time when this project began full-scale operation, in July 1997, that the voluntary closure of Yamaichi Securities was decided. The failure of the Hokkaido Takushoku Bank was disclosed in November of the same year, and the breakdown, temporary nationalization, buying out, and mergers of several banks succeeded one another. Our research therefore suddenly got into the social spotlight on the application stage. Part I is the first history and strategic guidelines of information systems in the banking industry. Part II summarizes the economic analyses of informa tion system investment in the United States, Europe, and Japan. These parts are foundations for the statistical analyses in Part III.
E-CARGO and role-based collaboration : Modeling and solving problems in the complex
A model for collaboratively solving complex problems Explains the nature of collaboration, explores an easy-to-follow process of collaboration, and defines a model to solve complex problems in collaboration and complex systems. Written by a noted expert on the topic, the book initiates the study of an effective collaborative system from a novel perspective. The role-based collaboration (RBC) methodology investigates the most important aspects of a variety of collaborative systems including societal-technical systems. The models and algorithms can also be applied across system engineering, production, and management. Contains a set of concepts, models, and algorithms for the analysis, design, implementation, maintenance, and assessment of a complex system Presents computational methods that use roles as a primary underlying mechanism to facilitate collaborative activities including role assignment Explores the RBC methodology that concentrates on the aspects that can be handled by individuals to establish a well-formed team Offers an authoritative book written by a noted expert on the topic
Earth Observation Open Science and Innovation
The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process and exploit Earth Observation data from satellites.This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites.
Early Aspects: Current Challenges and Future Directions ; 10th International Workshop, Vancouver, Canada, March 13, 2007, Revised Selected Papers
Traditionally, aspect-oriented software development (AOSD) has focused on the implementation phase of the software lifecycle: aspects are identified and captured mainly in code. Therefore, most current AOSD approaches place the burden for aspect identification and management on the programmer working at low levels of abstraction. However, aspects are often present well before the implementation phase, such as in domain models, requirements and software architecture. Identification and capture of these early aspects ensure that aspects related to the problem domain (as opposed to merely the implementation) will be appropriately captured, reasoned about and available. This offers improved opportunities for early recognition and negotiation of trade-offs and allows forward and backward aspect traceability. This makes requirements, architecture, and implementation more seamless, and allows a more systematic application of aspects.
Dynamics AX : A guide to microsoft axapta
The world’s leading Axapta 3.0 experts will take you from Axapta novice to pro in this book. This authoritative and comprehensive guide walks you gently through the bulk of what you need to know to productively apply the system in the real worldwith real data, sizing guidelines, deployment architectures, and code. By the book’s end, you will have acquired practical hands-on experience. You’ll be able to get Axapta 3.0 up and running, and identify gaps between the out-of-the-box product and your actual business needs. You’ll also know how to automate real-world business functions.
DSP for In-Vehicle and Mobile Systems
DSP for In-Vehicle and Mobile Systems is focused on digital signal processing strategies for improving information access, command and control, and communications for in-vehicle environments. It is expected that the next generation of human-to-vehicle interfaces will incorporate speech, video/image, and wireless communication modalities to provide more comfortable and safer driving ambiance
Domain Modeling and the Duration Calculus : International Training School, Shanghai, China, September 17-21, 2007, Advanced Lectures
The book presented provide competent coverage of software security, domain modeling of software engineering, and duration calculus for real time systems - originating from lectures of leading experts in these fields from Europe and Asia.It addressed in detail are: development of real-time systems, domain engineering using abstract modeling, the area of duration calculus, and formal methods like language description using the operational semantics approach.
Do Smart Adaptive Systems Exist? : Best Practice for Selection and Combination of Intelligent Methods
This book is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence. Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
DNA Computing ; Vol. 4287 ; 12th International Meeting on DNA Computing, DNA12, Seoul, Korea, June 5-9, 2006, Revised Selected Papers
This book constitutes the thoroughly refereed postproceedings of the 12th International Meeting on DNA Computing, DNA12, held in Seoul, Korea in June 2006. The 34 revised full papers presented are organized in topical sections on molecular and membrane computing models, complexity analysis, sequence and tile designs and their properties, DNA tile self-assembly models, simulator and software for DNA computing, DNA computing algorithms and new applications, novel experimental approaches, and experimental solutions.
DNA computing ; Vol. 3384 10th International workshop on DNA computing, DNA10, Milan, Italy, June 7-10, 2004, Revised Selected Papers
This book constitutes the thoroughly refereed postproceedings of the 10th International Workshop on DNA Based Computers, DNA10, held in Milano, Italy in June 2004. The 39 revised full papers presented were carefully selected during two rounds of reviewing and improvement from an initial total of 94 submissions. The papers address all current issues in DNA based computing and biomolecular computing ranging from theoretical and methodological issues to implementations and experimental aspects.
DNA Computing ; 7th International Workshop on DNA-Based Computers, DNA7, Tampa, FL, USA, June 10-13, 2001, Revised Papers
Constitutes the post-proceedings of the 7th International Workshop on DNA-Based Computers, held in Florida in 2001. The 26 papers cover experimental tools, theoretical tools, probabilistic computational models, computer simulation and sequence design, algorithms, experimental solutions and more.
Distributed systems : Concurrency and consistency
Explores the gray area of distributed systems and draws a map of weak consistency criteria, identifying several families and demonstrating how these may be implemented into a programming language. Unlike their sequential counterparts, distributed systems are much more difficult to design, and are therefore prone to problems. On a large scale, usability reminiscent of sequential consistency, which would provide the same global view to all users, is very expensive or impossible to achieve.
Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems
Distributed Multimedia Retrieval Strategies for Large Scale Networked Systems presents an up-to-date research status in the domain of distributed video retrieval. This professional book will include several different techniques that are in place for long duration video retrieval. An experimentally tested technology under the JINI platform, demonstrates a practical working system which serves as a feasibility study, as well as the first step in realizing such a technology.
Distributed computing and Internet Technology ; 1st International Conference, ICDCIT 2004, Bhubaneswar, India, December 22-24, 2004, Proceedings
Taming the Dynamics of Disributed Data - DISTRIBUTED COMPUTING -- Data in Your Space -- Enabling Technologies for Harnessing Information Explosion -- Fair Leader Election by Randomized Voting -- An Efficient Leader Election Algorithm for Mobile Ad Hoc Networks -- Distributed Balanced Tables: A New Approach - Performance Evaluation of Gigabit Ethernet and SCI in a Linux Cluster -- Performance Evaluation of a Modified-Cyclic-Banyan Based ATM / IP Switching Fabric -- A Scalable and Robust QoS Architecture for WiFi P2P Networks -- NEC: Node Energy Based Clustering Protocol for Wireless Sensor Networks with Guaranteed Connectivity,and other
Distributed and parallel computing ; 6th International conference on algorithms and architectures for parallel processing, ICA3PP, Melbourne, Australia, October 2-3, 2005, Proceedings
There are many applications that require parallel and distributed processing to allow complicated engineering, business and research problems to be solved in a reasonable time. Parallel and distributed processing is able to improve company profit, lower costs of design, production, and deployment of new technologies, and create better business environments. The major lesson learned by car and aircraft engineers, drug manufacturers, genome researchers and other specialist is that a computer system is a very powerful tool that is able to help them solving even more complicated problems. That has led computing specialists to new computer system architecture and exploiting parallel computers, clusters of clusters, and distributed systems in the form of grids.
Dissemination of information in communication networks : Broadcasting, gossiping, leader election, and fault-tolerance
Preface Due to the development of hardware technologies (such as VLSI) in the early 1980s, the interest in parallel and distributive computing has been rapidly growingandinthelate1980sthestudyofparallelalgorithmsandarchitectures became one of the main topics in computer science. To bring the topic to educatorsandstudents,severalbooksonparallelcomputingwerewritten. The involvedtextbook“IntroductiontoParallelAlgorithmsandArchitectures”by F. Thomson Leighton in 1992 was one of the milestones in the development of parallel architectures and parallel algorithms. But in the last decade or so the main interest in parallel and distributive computing moved from the design of parallel algorithms and expensive parallel computers to the new distributive reality – the world of interconnected computers that cooperate (often asynchronously) in order to solve di?erent tasks.
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.
Discovering Knowledge in Data : An Introduction to Data Mining
Provides the tools needed to thrive in today’s big data world. Demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”.
