366results about How to "Accurate resolution" patented technology

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.

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 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.

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. Each sub-pixel within a super-pixel has a bandpass or other type filter to pass 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. A color separator can be used to split the image into sub-bands, with each sub-band image projected onto a different spatially corrected detector array. A shaped limiting aperture can be used to isolate the image scene point within each super-pixels and minimize energy coupling to adjacent super-pixels.

A communication system is disclosed for providing dedicated bandwidth to at least one subscriber location for transmitting to a common point of distribution via an HFC network. In an embodiment of the invention, the communication system includes a channel interface module and at least one gateway coupled across the HFC network. The channel interface module is located at the point of distribution and includes a transmitter that transmits a windowing signal via the HFC network. The gateway is located at a subscriber location and includes a processor that encapsulates subscriber data into data cells suitable for burst transmission, receive logic that receives the windowing signal, timing logic that indicates burst transmission times only at programmed time slots within each of repeating transmission windows based on the windowing signal and a predetermined transmission timing offset, and a burst transmitter that burst transmits subscriber data cells in a predetermined upstream frequency channel when indicated by the timing logic.

The present disclosure describes techniques for entity classification and data enrichment of data sets. A data enrichment system is disclosed that can extract, repair, and enrich datasets, resulting in more precise entity resolution and classification for purposes of subsequent indexing and clustering. Disclosed techniques may include performing entity recognition to identify segments of interest that relate to an entity. Related data may be analyzed for classification, which can be used to transform the data for enrichment to its users.

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.

A method is provided for representing and updating the state of a dialog involving a series of queries and commands to an artificial intelligence system. Each statement within the dialogue may be modeled as a relational tree spanning nodes corresponding to named entities within the statement. A data structure may be used to store each of these trees and to modify them as the dialog progresses. A subsequent statement in the dialog may be parsed and its contents used to update an ongoing search initiated within that dialog. Statements may be used for the update process despite being fragmentary or not corresponding to any predetermined grammar. An algorithm is disclosed for updating the trees within the data structure after a new statement is parsed.

A method is provided for monitoring a network that includes providing a path selector that can select between a first input and a second input, where the first input is coupled to a customer premises equipment interface that is operable to receive signals from customer premises equipment and the second input is coupled to a test signal generator that is operable to generate test signals. The method also includes determining whether operating customer premises equipment is coupled to an input of the customer premises equipment interface that is coupled to the first input of the path selector. If not, then an idle state is entered into. While in the idle state, it is determined whether a signal is received from the customer premises equipment interface at the first input of the path selector. The test signal received at the second input of the path selector is selected unless a signal is received from the customer premises equipment interface at the first input. The method also includes communicating the test signal from the path selector to the network.

Software management methods and apparatus for performing software configuration management operations and for supporting build processes are described. Both implied and explicit dependency relationship information is captured and intelligently used in an automated fashion avoiding or reducing the need for human tracking of such relationships. Temporary or non-persistent data elements used during various phases of the software development process are automatically detected, including for example environment variables and their values and the versions of tools used to operate on the software components. A persistent association is created and stored between the normally temporary data element(s) and the software component(s) they affect. Implicit dependencies between data elements and software components are also automatically updated and revision-controlled, making historical and current implicit dependencies persistent. A software management information data base including implicit dependency relationship and explicit dependency relationship information is created. The information reflects explicit or implied relationships between various software components.

The present invention relates to a computer-implemented method of providing a landslide hazard assessment, including: inputting a region from which to retrieve geographic information from a database or from a user in real-time, using an input device of a computer system; retrieving geographic information from the database, on the region; retrieving satellite-based remote sensing data from the external database in real-time or near real-time from the region, the external database being accessed by the computer system over the internet; creating a susceptibility map which is divided into a plurality of categories that represent relative susceptibility to landslides; showing the plurality of categories on the susceptibility map on a display of the computer system, using a defining characteristic; comparing a current daily rainfall accumulation from the external database to a daily rainfall threshold; and issuing a moderate- or high-hazard level landslide nowcast, depending on a result of the comparison.

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 invention provides a method of resolving a location in a second digital map from an ordered list of location reference points determined from a first digital map. The method involves identifying candidate lines and nodes in the second digital map, and using curvature, height and gradient information associated with the location reference points to identify the most likely candidate nodes or lines in the second digital map corresponding to the nodes represented by the location reference points and to lines emanating from or incident at the node in the first digital map. The method involves carrying out a route search between the most likely identified candidate node or line identified for one location reference point, and the corresponding node or line associated with the next reference point in the list, and repeating this step for consecutive pairs of reference points until the final location reference point is reached.

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 method for monitoring fluid flow through a downhole device, comprises a) providing an acoustic tube wave in fluid in the device; b) measuring the acoustic tube wave after it has passed through the fluid in the device; and c) assessing the permeability of the device by measuring the attenuation of the acoustic signal. Changes in velocity of the acoustic signal may also be measured. The device may be a permeable downhole device such as a sand screen the measurements in step b) are made using a plurality of sensors deployed in the hole. The method may further including the step of cross-correlating a signal received at a first receiver with signals received at additional sensors so as to obtain an effective response as if the signal had been emitted from a source at the position of said first receiver.

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.

The invention relates to a normal-temperature normal-pressure femto-second CARS (Coherent Anti-stokes Raman Spectroscopy) time-resolved spectrum measuring system which relates to the technical field of nonlinear optics and solves the problem of multiple limiting factors of traditional femto-second CARS time-resolved spectrum measuring experiment. Beams output by a femto-second laser are adjusted through a series of reflectors and optical delay lines by the system to form three bundles of beams which have approximate energy and are respectively positioned on three peaks of a square on the vertical direction of the beams, the beams are focused to a sample pool and then emit a new beam along a specific angle, i.e. a CARS signal, the CARS signal is filtered through a filter plate, then received by a probe and input to a monochromator, the data acquisition of an electrical signal converted by a photomultiplier is carried out by utilizing BOCCAR, and the data are input to a computer for data processing. The invention can carry out femto-second CARS time-resolved spectrum measurement under the experimental conditions of normal temperature and normal pressure and is applicable for the femto-second CARS spectrum measurement of gas samples and liquid samples in a static sample pool.

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 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.

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.

The invention relates to a dwell-time-based moving object semantic behavior pattern mining method, which comprises the following steps of: (1) collecting semantic track data of moving objects, and storing semantic information of the moving objects; (2) for each moving object, mining all frequent semantic behavior patterns of each moving object; (3) designing a time-weight-based semantic behavior pattern similarity degree measurement method, and calculating the similarity degree between the frequent semantic behavior patterns; and (4) according to the similarity degree between the frequent semantic behavior patterns, using a pruning strategy for hierarchical clustering, and mining all moving object clustering with the similar semantic behavior patterns. The method has the advantage that high accuracy and high efficiency of the moving object semantic behavior pattern mining can be ensured. The final result can be provided for a user in relevant fields to be used, such as a friend recommending system, the track case cracking field and the individualized service field; the accurate finding on the similar semantic behavior patterns of mobile object groups can be supported; and the error rate is reduced.

The invention discloses a communication method of underwater digital voice and relates to a communication method. The communication method comprises the following steps of: at a communication transmitting end, sampling input simulated voice by using an analogue to digital (A / D) converter so as to obtain digital voice, performing mixed excitation linear prediction (MELP) low-speed compression coding on the digital voice so as to obtain voice data, grouping and performing Turbo coding on a voice data bit stream so as to obtain different groups of data, performing orthogonal frequency division multiplexing (OFDM) multicarrier modulation on every group of data and converting a modulated signal into a sound wave through an underwater acoustic transducer for transmitting in a sea underwater sound channel; and at a communication receiving end, performing underwater sound OFDM multicarrier modulation on a received signal after synchronization so as to obtain demodulation data, performing Turbo decoding on the demodulation data, performing MELP decoding on the data so as to synthesize the digital voice, converting the digital voice into simulated voice by using a digital to analogue (D / A) converter and outputting the simulated voice through a loudspeaker.