Mobile Communications : Re-negotiation of the Social Sphere
Mobile Communications: Renegotiation of the Social Sphere surveys some of the broader issues associated with the adoption and use of mobile communication, and explores developing areas of inquiry. Mobile communications are looked at in the context of other types of mediated interaction (e-mail, instant messaging, Wi-Fi, landline telephone etc.), thus demonstrating the uniqueness of this form of communication and how it is influencing the renegotiation of the social sphere. A truly international set of contributors consider how mobile communication has impacted on society and reflect on how it is used (and sometimes resented) in various public and private spaces. They provide an in-depth analysis of specific areas which complement our understanding of the phenomena including: • The psychological dimensions of mobile communication (addiction, proclivity to be disturbed by others use of the mobile phone), • The linguistics of mobile communication, and • The understanding of mobile communication’s commercialisation. This book will be a valuable addition to any researcher’s or professional’s reading material in the area of interaction of technology and society, providing the reader with a broad insight and specific knowledge of how mobile communication is reformulating the social sphere.
Mobile and Wireless Communications with Practical Use-Case Scenarios
While wireless technologies had a spectacular evolution over the past years, the present trend is to adopt a global heterogeneous network of shared standards that enables the provisioning of Quality of Service and Quality of Experience to the end-user. To this end, enabling technologies like Machine Learning, Internet of Things, Digital Twins, are seen as promising solutions for next generation networks that will enable an intelligent adaptive interconnected environment with support for prediction and decision making so that the heterogeneous applications and users requirements can be highly satisfied. The aim of this textbook is to provide the readers with a comprehensive technical foundation of the mobile communication systems and wireless network design, operations and applications of various radio access technologies. Additionally, it also introduces the reader to the latest advancements in technologies in terms of Internet of Things ecosystem, Machine Learning and Digital Twins for IoT-enabled intelligent environments. Furthermore, this textbook also includes practical use-case scenarios using Altair WinProp Software as well as Phyton, TensorFlow and Jupiter as support for practice-based laboratory sessions"
Mobile and Wireless Communications Networks ; IFIP TC6 / WG6.8 Conference on Mobile and Wireless Communication Networks (MWCN 2004) October 25-27, 2004 Paris, France
Mobile Ad hoc NETworks (MANETs) has attracted great research interest in recent years. A Mobile Ad Hoc Network is a self-organizing multi-hop wireless network where all hosts (often called nodes) participate in the routing and data forwarding process. The dependence on nodes to relay data packets for others makes mobile ad hoc networks extremely susceptible to various malicious and selfish behaviors. This point is largely overlooked during the early stage of MANET research. Many works simply assume nodes are inherently cooperative and benign. However, experiences from the wired world manifest that the reverse is usually true; and many works [3] [10] [9] [8] [12] [19] have pointed out that the impact of malicious and selfish users must be carefully investigated. The goal of this research is to address the cooperation problem and related security issues in wireless ad hoc networks. As a rule of thumb, it is more desirable to include security mechanisms in the design phase rather than continually patching the system for security breaches. As pointed out in [2] [1], there can be both selfish and malicious nodes in a mobile ad hoc network. Selfish nodes are most concerned about their energy consumption and intentionally drop packets to save power. The purpose of malicious nodes, on the other hand, is to attack the network using various intrusive techniques. In general, nodes in an ad hoc network can exhibit Byzantine behaviors.
Mobile and Wireless Communication Networks; IFIP 19th World Computer Congress, TC-6, 8th IFIP/IEEE Conference on Mobile and Wireless Communications Networks, August 20-25, 2006, Santiago, Chile
International Federation for Information Processing The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Mobile Ad-hoc and Sensor Networks ; Vol. 4325 ; 2nd International Conference, MSN 2006, Hong Kong, China, December 13-15, 2006, Proceedings
This book constitutes the refereed proceedings of the Second International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2006, held in Hong Kong, China in December 2006. The 73 revised full papers address all current issues in mobile ad hoc and sensor networks and are organized in topical sections on routing, network protocols, security, energy efficiency, data processing, and deployment.
Mobile Ad-hoc and Sensor Networks ; Vol. 3794 : 1st International Conference, MSN 2005, Wuhan, China, December 13-15, 2005, Proceedings
Constitutes the refereed proceedings of the First International Conference on Mobile Ad-hoc and Sensor Networks held in 2005. The papers address topical areas in mobile ad hoc and sensor networks, such as network architecture and protocols, software platforms and development tools, self-organization and synchronization, and more
Mobile Ad-Hoc and sensor networks ; 3rd International Conference, MSN 2007 Beijing, China, December 12-14, 2007 Proceedings
This book constitutes the refereed proceedings of the Third International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2007, held in Beijing, China, in December 2007.
Mixed-criticality industrial wireless networks
Introduces criticality to label important data,which is then allocated more transmission resources, ensuring that important data’sQoS requirements can be met to the extent possible.To help readers understand how to apply mixed criticality to industrial wirelessnetworks, the content is divided into four parts. First, we introduce how to integratethe model of mixed-criticality data into industrial wireless networks (Chap. 1).Second, we explain how to analyze the schedulability of mixed-criticality data underexisting scheduling algorithms (Chaps. 2 and 3). Third, we present a range of novelscheduling algorithms for mixed-criticality data (Chaps. 4, 5, and 6). Finally, weconclude this book and discuss future research directions (Chap. 7).
Middleware 2008 ; ACM/IFIP/USENIX 9th International Middleware Conference Leuven, Belgium, December 1-5, 2008 Proceedings
This book constitutes the refereed proceedings of the ACM/IFIP/USENIX 9th International Middleware Conference 2008, held in Leuven, Belgium, in December 2008.The 21 revised full papers presented were carefully reviewed and selected from 117 submissions for inclusion in the book. The papers are organized in topical sections on platforms extended to new capabilities, advanced software engineering focusing on specific system properties, system management techniques, as well as components and system algorithms and properties.
Middleware 2007 ; ACM/IFIP/USENIX 8th International Middleware Conference, Newport Beach, CA, USA, November 26-30, 2007, Proceedings
This book constitutes the refereed proceedings of the ACM/IFIP/USENIX 8th International Middleware Conference 2007, held in Newport Beach, CA, USA, in November 2007.
Middleware 2006 ; ACM/IFIP/USENIX 7th International Middleware Conference, Melbourne, Australia, November 27 - December 1, 2006, Proceedings
This book constitutes the refereed proceedings of the ACM/IFIP/USENIX 7th International Middleware Conference 2006, held in Melbourne, Australia, in November/December 2006. The 21 revised full papers presented were carefully reviewed and selected from 122 submissions. The papers are organized in topical sections on performance, composition, management, publish/subscribe technology, databases, mobile and ubiquitous computing, security, and data mining techniques.
Middleware 2005 ; ACM/IFIP/USENIX 6th International Middleware Conference, Grenoble, France, November 28 - December 2, 2005, Proceedings
Today, middleware is a key part of almost any application. Gone are the days when middleware was only used in the IT industry for high-end applications. Rather than middleware being part of the IT world, today IT applications r- resent only one aspect of middleware. With the increase in distribution, network capacity, and widespread deployment of computing devices (in homes, auto- biles, mobile phones, etc.), middleware has surpassed the importance of operating systems as the platform where application development and deployment take place. This makes middleware very exciting as a research area but also a very challenging one since it encompasses many different concepts and techniques from a wide varietyof ?elds: networking, distributed systems, softwareengine- ing, performance analysis, computer architecture, and data management. Middleware 2005 in Grenoble, France, was the 6th edition of an increasingly successfulconference.The scope of the conference has been slowly widening with every edition to accommodate new ?elds and applications.
Microsoft Content Management Server Field Guide
Microsoft Content Management Server Field Guide provides simple crisis-management instructions for intermediate- to advanced-level network administrators who work in the trenches. It offers practical procedural information, reference materials, and focused presentations. This book also features self-contained topics so you do not have to look further to obtain prerequisite information.
MICAI 2008 : Advances in Artificial Intelligence ;7th Mexican International Conference on Artificial Intelligence, Atizapán de Zaragoza, Mexico, October 27-31, 2008 Proceedings
The 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. The papers are organized in topical sections on logic and reasoning, knowledge-based systems, knowledge representation and acquisition, ontologies, natural language processing, machine learning, pattern recognition, data mining, neural networks, genetic algorithms, hybrid intelligent systems, computer vision and image processing, robotics, planning and scheduling, uncertainty and probabilistic reasoning, fuzzy logic, intelligent tutoring systems, multi-agent systems and distributed ai, intelligent organizations, bioinformatics and medical applications, as well as applications.
MICAI 2007 : Advances in artificial intelligence ; 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings
The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community.
MICAI 2006 : Advances in Artificial Intelligence ; 5th Mexican International Conference on Artificial Intelligence, Apizaco, Mexico, November 13-17, 2006, Proceedings
This volume contains the papers presented during the oral session of the 5 Mexican International Conference on Artificial Intelligence, held on November 13–17, 2006, at the Technologic Institute of Apizaco, Mexico. The conference received for evaluation 448 submissions by 1207 authors from 42 different countries
MICAI 2005 : Advances in Artificial Intelligence ; 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings
Constitutes the refereed proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, held Mexico, in November 2005. This book is organized in topical sections on knowledge representation and management, logic and constraint programming, uncertainty reasoning, multiagent systems and distributed AI, and others.
Methods and Tools for Collaborative Networked Organizations
Provides a comprehensive set of reference materials derived from the results of the ECOLEAD project in one organized volume. The ECOLEAD project, a large 4-year European initiative, involved 28 organizations (from academia, research and industry), from 14 countries (in Europe and Latin America).Three main types of results from ECOLEAD are presented: (i) Conceptual frameworks and models, (ii) Methods and processes, and (iii) Software tools and systems.
Methods and Procedures for the Verification and Validation of Artificial Neural Networks
Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book. The NASA IV&V and the Institute for Scientific Research, Inc. are working to be at the forefront of software safety and assurance for neural network and adaptive systems.
Metalearning : Applications to Automated Machine Learning and Data Mining
This book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user.



















