474 results about "Evaluated data" patented technology

A controller for a building management system is configured to analyze faults in the building management system. The controller detects a fault in the building management system by evaluating data of building management system using a system of rules. The controller determines a conditional probability for each of a plurality of possible fault causes given the detected fault. The controller determines the most likely fault cause by comparing the determined probabilities and electronically reports the most likely fault cause.

A method and system to evaluate data efficacy across an enterprise is disclosed. The method includes the step of indexing a set of data sources that include at least one of structured and unstructured data artifacts. The method further includes accessing the indexing on the one or more data sources with a computer. The method further includes the step of generating a plurality of analytics about the data sources based on the indexing, wherein the analytics include a plurality of: a document originality analytic, a corpus storage volume analytic, a data source ingest analytic, a document type analytic, and an analysis analytic. The method further includes displaying, on a display device, an interactive visualization of results based on the analytics, wherein the visualization comprises at least one of: a histogram, a graph, a timeline, a panel, a list, a chart, a popup, and a table.

Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

A method for evaluating data includes defining a list of data categories, determining a relative sensitivity to each data category, determining one or more classifiers for each of the data categories, receiving a plurality of data items to be valued, determining one of the data categories for each of said plurality of data items according to the one or more classifiers, and determining a respective sensitivity for each of said plurality of data items.

The invention relates to a medical unit comprises a 3D radar array for the detection of positional or movement data of objects in an examination space and a processing unit for the evaluation of the detected data, with the processing unit being connected to the medical unit and to the 3D radar array, and with the evaluated data being used to control the medical unit or for post-processing data acquired by the medical diagnostic or therapeutic unit. The invention also relates to a method for improving examination or treatment workflows with the medical unit, comprising: detecting positional or movement data of objects in the examination space by the 3D radar array; generating control commands for the medical unit based on the detected data; and post-processing image or spectroscopy data received by the medical based on the detected data. The medical unit is a medical diagnostic or therapeutic unit.

A method for evaluating data is based on a computational model, the computational model comprising model data, a training function and a prediction function. The method includes training the computational model by: receiving training data and training result data for training the computational model, and computing the model data from the training data and the training result data with the training function. The method includes predicting result data by: receiving field data for predicting result data; and computing the result data from the field data and the model data with the prediction function. The training data may be plaintext and the training result data may be encrypted with a homomorphic encryption algorithm, wherein the model data may be computed in encrypted form from the training data and the encrypted training result data with the training function. The field data may be plaintext, wherein the result data may be computed in encrypted form from the field data and the encrypted model data with the prediction function.

An under vehicle inspection system is disclosed. The under vehicle inspection system comprises a vehicle undercarriage inspection platform, a sensor mounted on sensor carriage, and a data analysis element receiving and evaluating data obtained by the sensor.

A non-volatile memory device programs memory cells in each row in a manner that minimizes the coupling of spurious signals. A control logic unit programs the cells in a row using a set of bit state assignments chosen by evaluating data that are to be written to the cells in the row. The control logic unit performs this evaluation by determining the number of cells in the row that will be programmed to each of a plurality of bit states corresponding to the write data. The control logic unit then selects a set of bit state assignments that will cause the programming level assigned to each bit state to be inversely proportional to the number of memory cells in the row that are programmed with the bit state. The selected set of bit states is then used to program the memory cells in the row.

The present invention is directed, in one particular implementation, to a cloud computing-based categorization system that comprises at least one electronic database having one or more performance assessment data associated with a plurality of entities matriculated at one or more educational institutions. The system further includes a processor, communicatively coupled to the at least one database, and configured to execute an electronic process that analyzes and converts said performance assessment data. Through one or more modules, the processor is configured to select performance assessment data corresponding to at least one structured assessment data value; and at least one unstructured assessment data set for an individual and evaluate the structured and un-structed data of the individual using an assessment model configured to classify the entity into one of a plurality of assessment categories. The processor is further configured by one or more modules to generate a graphical representation, for display and output to one or more remote users, of the likelihood that the individual is assigned to one of the plurality of assessment categories.