الصفحة 1
الصفحة 1
Network Control and Engineering for QOS, Security and Mobility, III ; IFIP TC6 / WG6.2, 6.6, 6.7 and 6.8. Third International Conference on Network Control and Engineering for QoS, Security and Mobility, NetCon 2004 on November 2-5, 2004, Palma de Mallorca, Spain
This volume contains the proceedings of the Third International Conference on Network Control and Engineering for Quality of Service, Security and Mobility (Net-Con'2004), celebrated in Palma de Mallorca (Illes Balears, Spain) during November 2-5, 2004. This IFIP TC6 Conference was organized by the Universitat de les Illes Balears and sponsored by the following Working Groups: WG6.2 (Network and Internetwork Architectures), WG6.6 (Management of Networks and Distributed Systems), WG6.7 (Smart Networks) and WG6.8 (Mobile and Wireless Communications). The rapid evolution of the networking industry introduces new exciting challenges that need to be explored by the research community. The adoption of Internet as the global network infrastructure places the issue of quality of service among one of the hot topics nowadays: a huge diversity of applications with quite different service requirements must be supported over a basic core of protocols. Also, the open and uncontrolled nature of Internet enforces the need to guarantee secure transactions among users, thus placing security as another hot topic. Finally, the explosion of mobility and its integration as part of the global infrastructure are probably now the most challenging issues in the networking field.
Mobile Edge Computing
It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks. The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.
Embedded Software and Systems ; Vol. 3820 ; 2nd International Conference, ICESS 2005, Xi'an, China, December 16-18, 2005, Proceedings
Welcome to the proceedings of the 2005 International Conference on Emb- ded Software and Systems (ICESS 2005) held in Xian, China, December 16-18, 2005. With the advent of VLSI system level integration and system-on-chip, the center of gravity of the computer industry is now moving from personal c- puting into embedded computing. Embedded software and systems are incre- ingly becoming a key technological component of all kinds of complex technical systems, ranging from vehicles, telephones, aircraft, toys, security systems, to medical diagnostics, weapons, pacemakers, climate control systems, etc. The ICESS 2005 conference provided a premier international forum for - searchers, developers and providers from academia and industry to address all resulting profound challenges; to present and discuss their new ideas, - search results, applications and experience; to improve international com- nication and cooperation; and to promote embedded software and system - dustrialization and wide applications on all aspects of embedded software and systems.
Embedded Software and Systems ; 3rd International Conference, ICESS 2007, Daegu, Korea, May 14-16, 2007, Proceedings
This book introduces sections on embedded architecture, embedded hardware, embedded software, HW-SW co-design and SoC, multimedia and HCI, pervasive/ubiquitous computing and sensor network, power-aware computing, real-time systems, security and dependability, and wireless communication.
Embedded Computer Systems : Architectures, Modeling, and Simulation ; Vol. 4017 ; 6th International Workshop, SAMOS 2006, Samos, Greece, July 17-20, 2006, Proceedings
This book constitutes the refereed proceedings of the 6th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2006, held in Samos, Greece on July 2006.The 47 revised full papers presented together with 2 keynote talks were thoroughly reviewed and selected from 130 submissions.
Digital twin : Architectures, networks, and applications
Offers comprehensive, self-contained knowledge on digital twin (DT), which is a very promising technology for achieving digital intelligence in the next-generation wireless communications and computing networks. DT is a key technology to connect physical systems and digital spaces in Metaverse. The objectives of this book are to provide the basic concepts of DT, to explore the promising applications of DT integrated with emerging technologies, and to give insights into the possible future directions of DT. For easy understanding, this book also presents several use cases for DT models and applications in different scenarios. The book starts with the basic concepts, models, and network architectures of DT. Then, we present the new opportunities when DT meets edge computing, Blockchain and Artificial Intelligence, and distributed machine learning (e.g., federated learning, multi-agent deep reinforcement learning).
Deep learning architecture and application
As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market).
Learning network programming with Java
Learn to deliver superior server-to-server communication through the networking channels / Gain expertise of the networking features of your own applications to support various network architectures such as client/server and peer-to-peer Explore the issues that impact scalability, affect security, and allow applications to work in a heterogeneous environment
Cisco networks : Engineers' handbook of routing, switching, and security with IOS, NX-OS, and ASA
Overviews of the basic knowledge and skills needed by CCNA and CCNP exam takers. Prior familiarity with Cisco routing and switching is desirable but not necessary, as Chris Carthern, Dr. Will Wilson, and Noel Rivera start their book with a review of network basics. Further they explain practical considerations and troubleshooting when establishing a physical medium for network communications. Later they explain the concept of network layers, intermediate LAN switching, and routing. Next they introduce you to the tools and automation used with Cisco networks. Moving forward they explain management planes, data planes, and control planes. Next they describe advanced security, trouble shooting, and network management. They conclude the book with a section which focuses on using network automation to automate Cisco IOS networks. You will: Configure Cisco switches, routers, and data center devices in typical corporate network architectures / Use black-hat tools to conduct penetration testing on the security of your network / Configure and secure virtual private networks (VPNs) / Enable identity management in your network with the Cisco Identity Services Engine (ISE) to.
Artificial neural networks – ICANN 2007 ; 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I
This book contains learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.
Artificial intelligence for multisource geospatial information
Collects 10 original research contributions published in the Special Issue entitled “Artificial Intelligence for Multisource Geospatial Information” of the ISPRS International Journal of Geo-Information. The focus is on different methods of Geospatial Artificial Intelligence (GeoAI) based on deep learning using different network architectures, clustering, soft computing, and semantic approaches. They are proposed to deal with a variety of Geospatial Big Data (GBD), such as georeferenced texts and photos in social networks, remote sensing images, cartographic maps, multidimensional geo databases, metadata in spatial data infrastructures, and for different tasks, such as for multisource georeferenced text integration and geodata flexible querying, for social sensing by applying sentiment analysis, clustering and geo analysis, for segmentation of roads, clouds and snow, and for detection of small targets and people on the streets.
