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Algorithms for Sensor and Ad Hoc Networks : Advanced Lectures
Thousands of mini computers (comparable to a stick of chewing gum in size), equipped with sensors, are deployed in some terrain or other. After activation the sensors form a self-organized network and provide data, for example about a forthcoming earthquake. The trend towards wireless communication increasingly affects electronic devices in almost every sphere of life. Conventional wireless networks rely on infrastructure such as base stations; mobile devices interact with these base stations in a client/server fashion. In contrast, current research is focusing on networks that are completely unstructured, but are nevertheless able to communicate (via several hops) with each other, despite the low coverage of their antennas. Such systems are called sensor or ad hoc networks, depending on the point of view and the application. Wireless ad hoc and sensor networks have gained an incredible research momentum. Computer scientists and engineers of all flavors are embracing the area. Sensor networks have been adopted by researchers in many fields: from hardware technology to operating systems, from antenna design to databases, from information theory to networking, from graph theory to computational geometry.
Landscape Performance Modeling Using Rhino and Grasshopper
A guidebook for landscape architects to learn the fundamental practices and use of the computational software Rhino 3D and the plugin Grasshopper for parametric modeling, landscape inventory, and performative analysis. This process visually connects intangible and abstract information with physical and spatial relationships to signify the impact ecological, climate, and cultural factors have on landscape performance and decision making.
Applications of Specification and Design Languages for SoCs : Selected papers from FDL 2005
This book provides detailed insights into recent works dealing with a large spectrum of issues in system-on-chip design, namely: assertion-based design, mapping on network-on-chip architectures, use of C/C++/SystemC design methodologies, hardware/software integration, mixing heterogeneous models of computation, analog/mixed-signal/mixed-technology system design and verification, UML/XML-based synthesis of analog and mixed-signal systems, UML to VHDL mapping, UML-based performance modeling, model transformation and formal verification, real-time system models, and Model Driven Architecture.
