40results about How to "Efficiently be compared" patented technology

Embodiments of systems and methods for comparing attributes of a data record are presented herein. Broadly speaking, embodiments of the present invention generate a weight based on a comparison of the name (or other) attributes of data records. More particularly, embodiments of the present invention generate a weight based on a comparison of name attributes. More specifically, embodiments of the present invention may calculate an information score for each of two name attributes to be compared to get an average information score for the two name attributes. The two name attributes may then be compared against one another to generate a weight between the two attributes. This weight can then be normalized to generate a final weight between the two business name attributes.

A method and system generates and compares fingerprints for videos in a video library. The video fingerprints provide a compact representation of the temporal locations of discontinuities in the video that can be used to quickly and efficiently identify video content. Discontinuities can be, for example, shot boundaries in the video frame sequence or silent points in the audio stream. Because the fingerprints are based on structural discontinuity characteristics rather than exact bit sequences, visual content of videos can be effectively compared even when there are small differences between the videos in compression factors, source resolutions, start and stop times, frame rates, and so on. Comparison of video fingerprints can be used, for example, to search for and remove copyright protected videos from a video library. Furthermore, duplicate videos can be detected and discarded in order to preserve storage space.

The present invention relates to a method and apparatus which quantifies radiation safety in medical imaging through the creation and analysis of objective data for each individual imaging procedure with respect to acquisition parameters, calculated radiation dose, and clinical data related to imaging examination selection and performance. The present invention also calculates a cumulative radiation dose based upon an individual patient's entire medical record, along with occupational and environmental exposures, to calculate a dynamic cumulative radiation-induced carcinogenesis risk. The present invention provides reforms to improve patient safety, quality and accountability, by creating a technology which simultaneously records and tracks objective data referable to radiation safety, medical imaging quality, and accountability among the various stakeholders and technologies in use. This quantifiable data is referred to as the Radiation Dose Quality Index (RDQI), and creates an objective, data-driven measure of quality and safety as it relates to medical practice.

Embodiments of the present disclosure relate to a data analysis system configured to implement cross-application coordination between a chart creation tool and a data analysis workspace, in order to create one or more charts from customized sets of data points, synchronize chart manipulations between charts, and drill down into the metadata of data points in the created charts. The user uses the data analysis workspace to select, remove, or cherry-pick data items to be used to create a chart, which may be transmitted from the workspace to the chart creation tool as data points. In addition, the user may select the data points in the chart to retrieve one or more identifiers to be transmitted back to the workspace, where they are used to identify the data items associated with the data points, and retrieve the full metadata of the data items.

A method for monitoring a mechanical joining process performed by a joining tool including a frame, a punch that is displaceable on the frame along a joining axis, a die that is mounted on the frame, and a hold-down device, which is mounted in an axially displaceable manner on the punch and biased in a joining direction; and the monitoring method comprises the steps of: starting the joining process; measuring the punch force exerted by the punch; acquiring the relative travel of the punch in relation to the hold-down device; and plotting a joining curve of punch force versus the relative travel.

By making use of a set of loading of stimulation and no loading, variation signals in time of hemoglobin density at a plurality of measurement points of a subject attached of an optical measurement probe and corresponding to a plurality of channels are detected, and for the respective detected hemoglobin variation signals principal component analysis is performed as well as a representative signal having a higher contribution rate is extracted and the extracted representative signal is displayed on a monitor. A correlation between the representative signal and a task reference and response waveform representing a response pattern of a living body in response to a stimulation task is calculated, and a representative signal having the highest correlation value as calculated is displayed in a discriminable manner from the other signals as a task related signal which responds most to the stimulation given to the subject. From weights of the respective channels for the representative signal displayed as the task related signal, an optical measurement point or region, which responds most to the task is identified and displayed in discriminable manner.

An optical navigation apparatus, an optical navigation method, and a non-transitory computer readable medium thereof are provided. The optical navigation apparatus includes a light source unit, an image sensing unit, and a processing unit. The processing unit is electrically connected to the light source unit and the image sensing unit. The light source unit provides a beam of light. The image sensing unit captures a first image at a first time instant when the light is projected onto a reflection surface. The processing unit calculates an image quality index of the first image and determines a matching block size between the first image and a second image according to the image quality index.

Systems and methods are provided for performing automated face recognition and comparison. An input image of a face may be received and cropped, and the image may be processed through a deep neural network (DNN) to produce a k-dimensional feature vector. The k-dimensional feature vector may be converted to a k-dimensional binary vector by transforming each value in the vector to either 1 or 0. To search for nearest matches of the image in a database of gallery images of faces, the system may compare sub-strings of the binary vector to hash tables created from sub-strings of the gallery images, enabling sub-linear searching that allows locating the closest matches from among the entire gallery without requiring an exhaustive linear search of the entire gallery.

Systems and methods are provided for performing automated face recognition and comparison. An input image of a face may be received and cropped, and the image may be processed through a deep neural network (DNN) to produce a k-dimensional feature vector. The k-dimensional feature vector may be converted to a k-dimensional binary vector by transforming each value in the vector to either 1 or 0. To search for nearest matches of the image in a database of gallery images of faces, the system may compare sub-strings of the binary vector to hash tables created from sub-strings of the gallery images, enabling sub-linear searching that allows locating the closest matches from among the entire gallery without requiring an exhaustive linear search of the entire gallery.