Die Handpresseinrichtung wird auf den Spleißkopf aufgesetzt. Mit dem Pumpen-Hebel wird der zum Verpressen der drei Teile der Aderverbindungsleiste (Grundplatte-Mittelteil-Deckel) benötigte Druck erzeugt.
This book is unique in bridging the gap between MIMO radio propagation and signal processing techniques and presenting robust MIMO network designs for real-world wireless channels. Through a unified framework, it emphasizes how propagation mechanisms impact the MIMO system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach, the book progressively derives innovative designs, taking into consideration that MIMO channels are often far from ideal. Reflecting developments since the first edition was published, the book has been updated and now includes several new chapters covering Multi-user MIMO, Multi-Cell MIMO, Receiver Design, MIMO in 3GPP and WiMAX and realistic system level evaluations of MIMO network performance.
The book, gathering the proceedings of the Future of Information and Communication Conference (FICC) 2018, is a remarkable collection of chapters covering a wide range of topics in areas of information and communication technologies and their applications to the real world. It includes 104 papers and posters by pioneering academic researchers, scientists, industrial engineers, and students from all around the world, which contribute to our understanding of relevant trends of current research on communication, data science, ambient intelligence, networking, computing, security and Internet of Things. This book collects state of the art chapters on all aspects of information science and communication technologies, from classical to intelligent, and covers both theory and applications of the latest technologies and methodologies. Presenting state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research, this book is an interesting and useful resource.
All you need to know about Storage Area Networks The amount of data of an average company doubles every year. Thus, companies who own 1TB of data today will own 32TB in five years. Storage networks help to tame such data quantities and to manage this data growth efficiently. Since stored data and information are the biggest asset of any company, anyone who is involved in the planning or the operation of IT systems requires a basic knowledge of the principle and the use of storage networks. Storage Networks Explained covers the fundaments, techniques and functions of storage networks such as disk subsystems, Fibre Channel SAN, Internet SCSI (iSCSI), Fibre Channel over Ethernet (FCoE), Network Attached Storage (NAS), file systems, and storage virtualization. Furthermore the authors describe the use of these techniques and how they are designed to achieve high-availability, flexibility, and scalability of data and applications. Additional attention is given to network backup and the management of storage networks. Written by leading experts in the field, this book on storage area networks is updated and fully revised. Key features: * Presents the basic concepts of storage networks, such as I/O techniques, disk subsystems, virtualization, NAS and SAN file systems * Covers the design of storage networks which provide flexible, highly-available, and scaleable IT systems * Explains the use of storage networks for data sharing, data protection, and digital archiving * Discusses management of storage networks using SNMP, SMI-S, and IEEE 1244 This book provides system administrators and system architects, as well as students and decision makers, with the tools needed for optimal selection and cost-effective use of storage networks. The Linux Journal awarded the first edition with the ´´Editor´s Choice Award 2005´´ in the category ´´System Administration Book.´´
The continuing growth in Internet services and the associated bandwidth consumption presents many challenges to be met at the network tiers. The deployment of a fiber-optic local network is important because as soon as it is in place, it provides broadband access to the Internet cloud. In this book, such architecture is envisioned to be moderate in costs and complexity through sharing of resources, simplified nodes at the user-side, and centralized network management. The provisioning of wireless networks and, consequently, the handling of mobile networking dynamics is considered to be essential to enable truly ubiquitous networking possibilities so the convergence of the optical and the radio domains has a central position in the book. The optical code division multiple access (OCDMA) technology serves as basis on top of which many networking concepts are evaluated. A unique insight is given in the complete trajectory of OCDMA system design from modeling, to photonic integration, until full-scale transmission experiments. This book is intended for (under-) graduate students and system designers in the area of fiber-optic local networks.
This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.
This book provides a novel solution for existing challenges in wireless body sensor networks (WBAN) such as network lifetime, fault tolerant approaches, reliability, security, and privacy. The contributors first discuss emerging trends of WBAN in the present health care system. They then provide possible solutions to challenges inherent in WBANs. Finally, they discuss results in working environments. Topics include communication protocols of implanted, wearable and nano body sensor networks; energy harvesting methodologies and experimentation for WBAN; reliability analysis and fault tolerant architecture for WBAN; and handling network failure during critical duration. The contributors consist of researchers and practitioners in WBAN around the world.
This book discusses topics in mission-oriented sensor networks and systems research and practice, enabling readers to understand the major technical and application challenges of these networks, with respect to their architectures, protocols, algorithms, and application design. It also presents novel theoretical and practical ideas, which have led to the development of solid foundations for the design, analysis, and implementation of energy-efficient, reliable, and secure mission-oriented sensor network applications. Covering various topics, including sensor node architecture, sensor deployment, mobile coverage, mission assignment, detection, localization, tracking, data dissemination, data fusion, topology control, geometric routing, location privacy, secure communication, and cryptograph, it is a valuable resource for computer scientists, researchers, and practitioners in academia and industry.
This book uses rigorous mathematical analysis to advance opinion dynamics models for social networks in three major directions. First, a novel model is proposed to capture how a discrepancy between an individual´s private and expressed opinions can develop due to social pressures that arise in group situations or through extremists deliberately shaping public opinion. Detailed theoretical analysis of the final opinion distribution is followed by use of the model to study Asch´s seminal experiments on conformity, and the phenomenon of pluralistic ignorance. Second, the DeGroot-Friedkin model for evolution of an individual´s social power (self-confidence) is developed in a number of directions. The key result establishes that an individual´s initial social power is forgotten exponentially fast, even when the network changes over time; eventually, an individual´s social power depends only on the (changing) network structure. Last, a model for the simultaneous discussion of multiple logically interdependent topics is proposed. To ensure that a consensus across the opinions of all individuals is achieved, it turns out that the interpersonal interactions must be weaker than an individual´s introspective cognitive process for establishing logical consistency among the topics. Otherwise, the individual may experience cognitive overload and the opinion system becomes unstable. Conclusions of interest to control engineers, social scientists, and researchers from other relevant disciplines are discussed throughout the thesis with support from both social science and control literature.