FLEXIBLE NETWORK TRANSCEIVER NEXT GENERATION TELEMETRY NETWORKING
KeywordsTelemetry Network Transceiver
Flexible Network Transceiver
Flexible Physical Layer
Flexible Telemetry Receiver
Flexible Network Processor
Flexible Phased Array Antenna
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RightsCopyright © International Foundation for Telemetering
Collection InformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
AbstractThis paper describes the Flexible Telemetry Transceiver (FNT)-a modular, scalable, standards-based, software configurable, microwave wireless telemetry network transceiver. The FNT enables flexible, high-rate, long-range, duplex, network services across multipoint to multipoint wireless channel.
SponsorsInternational Foundation for Telemetering
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Flexible network community organization during the encoding and retrieval of spatiotemporal episodic memoriesSchedlbauer, Amber M; Ekstrom, Arne D; Univ Arizona, Dept Psychol (MIT PRESS, 2019-09-23)Memory encoding and retrieval involve distinct interactions between multiple brain areas, yet the flexible structure of corresponding large-scale networks during such memory processing remains unclear. Using functional magnetic resonance imaging, we employed a spatiotemporal encoding and retrieval task, detecting functional community structure across the multiple components of our task. Consistent with past work, we identified a set of stable subnetworks, mostly belonging to primary motor and sensory cortices but also identified a subset of flexible hubs, mostly belonging to higher association areas. These “mover” hubs changed connectivity patterns across spatial and temporal memory encoding and retrieval, engaging in an integrative role within the network. Global encoding network and subnetwork dissimilarity predicted retrieval performance. Together, our findings emphasize the importance of flexible network allegiance among some hubs and the importance of network reconfiguration to human episodic memory.
Payload adaptive control of a flexible manipulator using neural networksSundareshan, Malur K.; Askew, Craig Steven, 1967- (The University of Arizona., 1992)Flexible manipulators provide significant advantages over the commonly-used rigid robots due to their lightweight properties, but an accurate control of these manipulators is more difficult to attain, and it is especially demanding in task executions involving changing payloads. This thesis addresses the problem of payload adaptive control of flexible manipulators. The nonlinear model describing the manipulator dynamics is completely derived and is then used for an accurate computer simulation of the flexible manipulator motions. Payload identification is implemented by using a novel neural network approach to identify distinct payload classes from tip deflection patterns which result from different payloads. The identification procedure is then used to select a controller which best meets the control objectives specifying hub speed and maximum tip deflection. Two distinct controller synthesis procedures, one using a pole-placement design and one employing a variable structure technique, are developed. The merits of payload adaptive control are shown by several simulation experiments.
DESCRIPTION AND ANALYSIS OF A FLEXIBLE HARDWARE ARCHITECTURE FOR EVENT-DRIVEN DISTRIBUTED SENSOR NETWORK NODESDavis, Jesse; Kyker, Ron; Berry, Nina; Sandia National Laboratories (International Foundation for Telemetering, 2003-10)A particular engineering aspect of distributed sensor networks that has not received adequate attention is the system level hardware architecture of the individual nodes of the network. A novel hardware architecture based on an idea of task specific modular computing is proposed to provide for both the high flexibility and low power consumption required for distributed sensing solutions. The power consumption of the architecture is mathematically analyzed against a traditional approach, and guidelines are developed for application scenarios that would benefit from using this new design.