UW-Madison researchers have developed a computer vision-based systems that leverages a deep neural network (DNN) for the automatic estimation of a load being lifted by an individual. The DNN was train...
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A computer architecture allows load instructions to fetch from cache memory "fat" loads having more data than necessary to satisfy execution of the load instruction, for example, loading a f...
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UW-Madison researchers and collaborators have developed a system that increases the security of trigger action platforms (TAP). TAPs link different computer services allowing them to work together. Th...
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A network employing multiple redundancy-aware routers that can eliminate the transmission of redundant data is greatly improved by steering redundant data preferentially into common data paths possibl...
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Systems and methods for determining genetic variations of an organism for performing a physiological function. The systems include a number of modules that can be integrated into existing metabolic en...
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A dataflow computer processor is teamed with a general computer processor so that program portions of an application program particularly suited to dataflow execution may be transferred to the dataflo...
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The amount of speed-up that can be obtained by optimizing the program to run on a different architecture is determined by static measurements of the program. Multiple such static measurements are proc...
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Systems and methods for controlling support structures in manufacturing are provided. In particular, the present disclosure provides systems and methods for characterizing the support volume in the de...
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A wireless vibrometer employs an antenna array to significantly boost the signal-to-noise ratio of faint received signals twin small objects vibrating at acoustic frequencies. This technique may be us...
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A computer architecture for graph-traversal provides a processor for bottom-up sequencing through the graph data according to vertex degree. This ordered sequencing reduces redundant edge checks. In o...
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A Lagrangian support vector machine solves problems having massive data sets (e.g., millions of sample points) by defining an input matrix representing a set of data having an input space with a dimen...
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Methods for adaptive data acquisition are disclosed herein. In one aspect, methods for adaptive data acquisition include performing a first sensing method on a signal having a plurality of components ...
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In accordance with some embodiments, systems, methods and media for simulating deformation of an elastic body are provided. In some embodiments, a method comprises: determining for each macroblock, a ...
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A memory system and a method for the error correction of memory are disclosed herein. The method for the error correction of memory is performed by a memory system including a plurality of memory chip...
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A monitoring system may include an input port, an output port, and a controller in communication with the input port and the output port. The input port may receive video from an image capturing devic...
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A connector assembly may include a body and a fluid fitting, the fluid fitting configured for releasably engaging a syringe nozzle, at least one deflectable locking arm connected to the body and radia...
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Systems and methods for generating approximations and other representations of data in a data set include a generalized non-uniform rational B-splines (NURBS) framework that facilitates optimized comp...
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Systems and methods for modifying and generating quadrilateral meshes for computer graphic structures include obtaining a polygon mesh representing a computer graphic structure, the polygon mesh compr...
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A monitoring system or tracking system may include an input port and a controller in communication with the input port. The input port may receive video from an image capturing device. The image captu...
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A monitoring system or tracking system may include an input port and a controller in communication with the input port. The input port may receive video from one or more image capturing devices. The i...
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Aspects of the present invention provide a memory system comprising a plurality of stacked memory layers, each memory layer divided into memory sections, wherein each memory section connects to a neig...
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This software translates a C program from text into abstract-syntax tree, control-flow graph and call graph representations. It also builds symbol tables, and does type checking and other static-sem...
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This software program consists of a collection of C modules (C-type definitions and associated code) for implementing: System dependent graphs -- a data structure representing the dependencies th...
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Numerically intensive statistical processing of data is implemented as an incremental gradient method within the engine of a database system. Small user-defined functions in the database system calcul...
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A machine learning architecture employs two machine learning networks that are joined by a statistical model allowing the imposition of a predetermined statistical model family into a learning process...
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