Mayo Foundation for Medical Education and Research

US Government As Represented by the Secretary of the Army

Robert W Techentin

Erik S Daniel

David R Holmes, Iii

Barry K Gilbert

Bart Owen McCoy

Daniel Schraufnagel

Clifton R Haider

Christopher L Felton

Michael J Joyner

William A Carey

Timothy B Curry

Charlotte Sue Van Dorn

Victor A Convertino

In accordance with some embodiments of the disclosed subject matter, mechanisms for distributed network monitoring are provided. In some embodiments, a system for distributed network monitoring comprises: local monitors, each comprising: a processor programmed to: generate a model of normal network traffic between a computing device and a router; receive additional traffic; calculate a metric based on a metadata parameter of the additional traffic; determine, based on the metric, whether the additional traffic is anomalous; and transmit, to a central monitoring system, information indicating that the additional traffic is anomalous; and the central monitoring system comprising: a second processor programmed to: receive information indicating that the additional traffic is anomalous; receive information related to the additional traffic; determine, based on the information, that the additional traffic is anomalous; and take an action to secure communications across the portion of the network associated with the additional traffic.

Systems, methods, and media for distributed network monitoring using local monitoring devices

In accordance with some embodiments, systems, methods, and media for estimating compensatory reserve and predicting hemodynamic decompensation using physiological data are provided. In some embodiments, a system for estimating compensatory reserve is provided, the system comprising: a processor programmed to: receive a blood pressure waveform of a subject; generate a first sample of the blood pressure waveform with a first duration; provide the sample as input to a trained CNN that was trained using samples of the first duration from blood pressure waveforms recorded from subjects while decreasing the subject's central blood volume, each sample being associated with a compensatory reserve metric; receive, from the trained CNN, a first compensatory reserve metric based on the first sample; and cause information indicative of remaining compensatory reserve to be presented.

Systems, methods and media for estimating compensatory reserve and predicting hemodynamic decompensation using physiological data

Zero sum signaling schemes utilize coding across data words to allow the use of single-ended buffers while mitigating simultaneous switching noise (SSN) in digital systems. Zero sum signaling may include balanced zero sum coding (target disparity=0) and nearly balanced zero sum coding (target disparity=&#xb1;d). Zero sum signaling may reduce simultaneous switching noise as compared to single-ended signaling while allowing a reduction in the number of physical channels (e.g. circuit board traces) by nearly a factor of two as compared to differential signaling.

Zero sum signaling in a digital system environment

A transmission line on a printed wiring board is tested and printed wiring board manufacturing variability is assessed. A response of the transmission line to a signal test pattern is measured. A network including a plurality of components connected by the transmission line is then simulated. The simulated network is based on the measured scattering parameters and virtual models representative of each of the components in the network. A system-level output response of the simulated network to a simulated input signal is analyzed, and the printed wiring board is characterized based on a comparison of the system-level output response to a printed wiring board performance metric threshold.

Link analysis compliance and calibration verification for automated printed wiring board test systems

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Rochester, MN, United States of America

Robert W Techentin