364results about How to "Accurate resolution" patented technology

Entity disambiguation resolves which names, words, or phrases in text correspond to distinct persons, organizations, locations, or other entities in the context of an entire corpus. The invention is based largely on language-independent algorithms. Thus, it is applicable not only to unstructured text from arbitrary human languages, but also to semi-structured data, such as citation databases and the disambiguation of named entities mentioned in wire transfer transaction records for the purpose of detecting money-laundering activity. The system uses multiple types of context as evidence for determining whether two mentions correspond to the same entity and it automatically learns the weight of evidence of each context item via corpus statistics. The invention uses multiple search keys to efficiently find pairs of mentions that correspond to the same entity, while skipping billions of unnecessary comparisons, yielding a system with very high throughput that can be applied to truly massive data.

A hyperspectral imager that achieves accurate spectral and spatial resolution by using a micro-lens array as a series of field lenses, with each lens distributing a point in the image scene received through an objective lens across an area of a detector array forming a hyperspectral detector super-pixel. Spectral filtering is performed by a spectral filter array positioned at the objective lens so that each sub-pixel within a super-pixel receives light that has been filtered by a bandpass or other type filter and is responsive to a different band of the image spectrum. The micro-lens spatially corrects the focused image point to project the same image scene point onto all sub-pixels within a super-pixel.

The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.

A solid-state imaging apparatus includes an image pick-up section in which photosensitive devices are arranged in, e.g., a honeycomb G square lattice, RB full-checker pattern due to shifted pixels. Regions void of the photosensitive devices are assumed to be virtual photosensitive devices. A signal processing section generates data for the virtual photosensitive devices by using the data of surrounding photosensitive devices while attaching importance to accurate color reproduction and horizontal and / or vertical resolution. As a result, the number of pixel data are increased in a square lattice arrangement. Therefore, high quality image signals are readily achievable with a smaller number of photosensitive devices than conventional with a conventional apparatus. Interpolation can be executed with the high quality signals to the limit of resolution with an adequate circuit scale. The honeycomb arrangement guarantees the required size of the individual pixel and thereby the sensitivity of the entire apparatus while increasing yield on a production line. False colors particular to a single photosensitive portion can be reduced by, e.g., uniform interpolation. Particularly, when a digital camera is constructed by using an imaging apparatus including optics operable with a silver halide sensitive type of film, false colors can be reduced without resorting to an optical low pass filter.

Techniques are disclosure for a data enrichment system that enables declarative external data source importation and exportation. A user can specify via a user interface input for identifying different data sources from which to obtain input data. The data enrichment system is configured to import and export various types of sources storing resources such as URL-based resources and HDFS-based resources for high-speed bi-directional metadata and data interchange. Connection metadata (e.g., credentials, access paths, etc.) can be managed by the data enrichment system in a declarative format for managing and visualizing the connection metadata.

A method and system for bringing together online and offline advertising uses anonymous links that are associated with consumer data. The anonymous links allow processing without personally identifiable information (PII) in a secure environment. Data is matched using the anonymous links, and further using identifiers that are encrypted for use in connection with individual match distribution partners. The method and system allows a marketer to utilize offline data to precisely target advertisements without the use of PII, and to perform analytics concerning the use of the online advertisements to more precisely determine the effectiveness of multichannel marketing efforts.

Optical sensor measurement methods that convert a wavelength change in an optical sensor to a measurable optical intensity change, which can be calibrated and used to measure optical wavelength change and environmental changes such as temperature or strain which affect sensor wavelength. The current invention makes use of tunable fiber Fabry-Perot filters as the wavelength selective elements for the wavelength to optical intensity conversion. The invention provides high measurement sensitivities to small amplitude, high frequency modulations to the fiber sensor center wavelength, accommodates for system drift from thermal or other perturbations, and enables either frequency mode or time varying resolution of sensor modulation events. Selection of proper Fabry-Perot optics allow for measurement optimization of either high sensitivity or high strain measurement range.

An apparatus and method for low frequency asset tracking includes a low frequency transmitter tag associated with a cargo container or other high value commodity, a plurality of receivers that detect low frequency signals, and a microprocessor that uses algorithms and / or data pertaining to the propagation characteristics of the signal to locate the position of the container or high value commodity. The tag may include sensors to monitor container properties or conditions, such as temperature, motion, intrusion, RF fields, or other properties of interest. Sensor data may be modulated on the low frequency transmitter signal.

An optical time domain reflectometry apparatus has a laser and light modulator for producing coherent light pulses, each having two sections of higher intensity separated by a gap of lower or substantially zero intensity. As the light pulses propagate along the optical fibre, light is continuously Rayleigh backscattered by inhomogeneities of the optical fibre. A photodetector generates backscatter signals representing the intensity of light Rayleigh backscattered in the optical fibre as each light pulse travels along the optical fibre. The PC uses these backscatter signals to derive a difference signal representing a change dI in intensity between signals generated from two successive pulses. The PC then calculates the Root Mean Square (RMS) of the difference signal averaged over the interval between the two sections of the light pulses. Next, the PC averages the backscatter signal generated from the first of the pulses over the same interval and normalises the RMS difference signal using the averaged signal to obtain a compensated difference signal that depends only on differences in the rate of change of phase of light of the light pulses as they travelled along the waveguide. This is repeated at different wavelengths to allow the compensated difference signal to be adjusted to represent the magnitude of the differences.

The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.

An optical time domain reflectometry apparatus has a laser and light modulator for producing coherent light pulses, each having two sections of higher intensity separated by a gap of lower or substantially zero intensity. As the light pulses propagate along the optical fibre, light is continuously Rayleigh backscattered by inhomogeneities of the optical fibre. A photodetector generates backscatter signals representing the intensity of light Rayleigh backscattered in the optical fibre as each light pulse travels along the optical fibre. The PC uses these backscatter signals to derive a difference signal representing a change dI in intensity between signals generated from two successive pulses. The PC then calculates the Root Mean Square (RMS) of the difference signal averaged over the interval between the two sections of the light pulses. Next, the PC averages the backscatter signal generated from the first of the pulses over the same interval and normalises the RMS difference signal using the averaged signal to obtain a compensated difference signal that depends only on differences in the rate of change of phase of light of the light pulses as they travelled along the waveguide. This is repeated at different wavelengths to allow the compensated difference signal to be adjusted to represent the magnitude of the differences.

A system for detecting and analyzing chemical and biological materials in a sample. The system includes a spectrometer for passively receiving emissions from the sample in the terahertz frequency band to detect the materials therein. A telescope or other device can be used to confine the field-of-view of the spectrometer. A cold surface is positioned filling the field-of-view of the spectrometer at an opposite side of the sample from the spectrometer. The cold surface provides a low temperature background relative to the sample so as to reduce the background emission and enhance the detection of the emission from the sample.

A system for determining a position of a moving object is described, having: an arrangement having at least three general lighting LEDs, wherein each of the general lighting LEDs is implemented to transmit one light signal each with a transmission time information and a transmitter information, wherein the wavelength ranges of the general lighting LEDs for the signal transmission overlap, wherein the transmitter information enables at least a determination of a position of the respective general lighting LEDs and the transmission time information is information on a point in time when the respective signal was transmitted; a light sensor mounted to the moving object and implemented to receive the light signals and allocate one signal receive time each; and an evaluation unit which is implemented to determine the position of the object based on the transmitter information, the transmission time information and the receive time information.

A method and system for non-contact fluorescent optical tomography using patterned illumination is disclosed. The method comprises illuminating a surface of a medium with light from at least one excitation light source to project at least two patterns. Each pattern comprises at least one motif, wherein the medium comprises at least one fluorescent target. The method further comprises for each pattern, measuring excitation light reflected from the medium to generate an excitation data set. In addition, the method comprises, for each pattern, measuring fluorescence emitted from the at least one fluorescent target to generate a fluorescence data set. The method also comprises generating a 3D image of the at least one fluorescent target in the medium by applying iterative algorithm. The iterative algorithm minimizes the difference between a predicted data set based on a mathematical model, and each excitation data set and each fluorescence data set.

Systems and methods that may be implemented to determine the location of an emitter of electromagnetic radiation having an unknown location, using a cooperative TDOA-based location methodology. The cooperative TDOA-based location methodology (e.g., such as TDOA / TDOA, TDOA / FDOA, etc.) may be implemented using at least one cooperative transmitter that transmits a cooperative electromagnetic (EM) signal from a known location that is received at multiple different EM sensing platforms that are also each of known location. The known geolocation of the cooperative transmitter may be used to resolve the signal arrival timing relationships between the different sensing platforms that is utilized to determine the location of another EM transmitter of unknown location.

The invention discloses an insulator defect detection method based on an improved YOLOv5 convolutional neural network, which comprises the following steps of: firstly, improving a network structure of YOLOv5 from two aspects of reducing false detection similar objects and accelerating reasoning speed, and proposing the improved YOLOv5 convolutional neural network based on an attention mechanism and depth separable convolution; secondly, optimizing an algorithm loss function and post-processing aiming at the problem of insulator shielding caused by missing detection, calculating bounding box regression loss and a DIOU non-maximum suppression screening prediction frame by adopting a CIoU loss function, and further providing an ARS suppression algorithm based on an area ratio to reduce a multi-detection phenomenon of a defect target; and finally, training the improved YOLOv5 convolutional neural network to obtain a final detection network. According to the method, on the premise that the reasoning speed is not reduced, the target and the similar object can be correctly distinguished, and the shielded insulator can be prevented from being missed.