Titlebook: Distributed Cooperative Laboratories: Networking, Instrumentation, and Measurements; Franco Davoli,Sergio Palazzo,Sandro Zappatore Confere

Implicit

978-1-4419-4002-5Springer-Verlag US 2006

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BRIEF

James G. Bockheim,Alfred E. Harteminkin the past: collaborative virtual environments and video-based teleconferencing. For this purpose technologies from both areas have been integrated to a common test platform. After a specific description of the initial technology branches, the paper mainly focuses on the conceptual work for merging them to a novel virtual team user environment.

钉牢

1860-4862 and virtual tools and instrumentation.Includes the convergen.Distributed Cooperative Laboratories: Networking, Instrumentation, and Measurements. is devoted to the investigation of the main issues related to the sustainable realization of tele-laboratories, where real and virtual instrumentation can

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Palgrave Studies in Literary Anthropology link-based graph overlay as well as in a broadcast-based sensor network. Simulation results confirm that, in both scenarios, our semi-probabilistic approach strikes a balance between entirely deterministic and entirely probabilistic solutions, achieving high reliability with low overhead.

形上升才刺激

TCP Anomalies: Identification And Analysisction. Since TCP is a closed-loop protocol that infers network conditions and reacts accordingly by means of losses, the possibility of carefully distinguishing the causes of anomalies in TCP traffic is very appealing and may be instrumental to the deep understanding of TCP behavior in real environments and the protocol engineering.

哑巴

难取悦

Semi-Probabilistic Routing For Highly Dynamic Networks link-based graph overlay as well as in a broadcast-based sensor network. Simulation results confirm that, in both scenarios, our semi-probabilistic approach strikes a balance between entirely deterministic and entirely probabilistic solutions, achieving high reliability with low overhead.

蒙太奇

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Palgrave Studies in Literary Anthropology a spatial area for efficient data acquisition and reconstruction. We analyze the problem using random matrix theory and show that even a very irregular spatial distribution of sensors may lead to a successful signal reconstruction, provided that the number of collected samples is large enough with respect to the field bandwidth.