228results about How to "Ensure high efficiency and accuracy" patented technology

Systems and methods are provided for performing a search based on a snapshot image captured from media content presented to a user. The snapshot image contains features of the media content that the user wishes to target for the search. A search system recognizes features of the snapshot image and creates a search query based on the snapshot image. The search query is used to identify features of the snapshot image, and search results related to the identified features are presented to the user. Supplemental data or user input received with the snapshot image may be used in analyzing and identifying features of the snapshot image.

Methods and systems for large-scale airframe assembly are disclosed. In one embodiment, a method includes measuring a plurality of discrete point positions at least one of on and adjacent to at least one of a first and a second component, and measuring at least one surface position on the at least one of the first and second components. The measured positions are compared with a desired position information (e.g., a computer aided design model). The comparison may include applying a fitting routine to the measured positions and the desired position information. Next, a transformation matrix for improving the comparison between the measured positions and the desired position information is computed. At least one of the first and second components is then moved according to the transformation matrix. During movement, the plurality of discrete point positions may be monitored and provided to the position control system by a feedback loop.

An apparatus, method, and medium for dialogue speech recognition using topic domain detection are disclosed. An apparatus includes a forward search module performing a forward search in order to create a word lattice similar to a feature vector, which is extracted from an input voice signal, with reference to a global language model database, a pronunciation dictionary database and an acoustic model database, which have been previously established, a topic-domain-detection module detecting a topic domain by inferring a topic based on meanings of vocabularies contained in the word lattice using information of the word lattice created as a result of the forward search, and a backward-decoding module performing a backward decoding of the detected topic domain with reference to a specific topic domain language model database, which has been previously established, thereby outputting a speech recognition result for an input voice signal in text form. Accuracy and efficiency for a dialogue sentence are improved.

A surgical assist device and method that can be used to assist a surgeon in site selection and suture placement to re-attach the glenoid labrum to the shoulder's glenoid bone. The device and method includes an arcuate shaped bow arm, an angle guide attached to the bow arm at a selected location along the bow arm, a sleeve guide, and a target tool releasably connected to the angle guide. A tip end of the sleeve guide is extended in surgery and is configured to intersect and pass through an aperture of the target tool. The tip end of the sleeve guide includes at least one tooth that embeds in the glenoid bone and holds the sleeve guide in position. A guide pin such as a suture carrier is extended through the sleeve guide. The sleeve guide is then removed leaving the sutures in the correct repair location.

The invention provides methods and compositions, e.g., kits, for removing contaminants from nucleic acids in a sample, e.g., environmental or biological samples such as soil, food, plant, animal, microorganism or water samples. The invention provides methods and compositions for isolating nucleic acids from environmental and biological samples in a scaleable process free of contaminating substances that inhibit PCR and other downstream applications. Exemplary sample types include soil, water, plant and food. The methods and compositions of the invention can be used for isolating and/or detecting nucleic acids from prokaryotic and eukaryotic organisms and for detecting multiple types of organisms in a sample. Thus, the methods and compositions of the invention are useful for detecting organisms pertaining to agriculture, forensics biology and/or combating bioterrorism.

A method for keyword detection in a controlled-environment facility comprises capturing a conversation within the controlled-environment facility and executing a hybrid keyword detection application for detecting a keyword spoken during the conversation. A system comprises an audio capture system operable to capture an audio signal within a controlled-environment facility and a hybrid keyword detection system connected to the audio capture system, where the hybrid keyword detection system is operable to detect a keyword.

High speed, wide area microscopic scanning or laser positioning is accomplished with an inertia-less deflector (for example an acousto-optic or electro-optic deflector) combined with a high speed wide area microscopic scanning mechanism or laser positioner mechanism that has inertia, the motion of the inertia-less deflector specially controlled to enable a focused spot to stabilize, for example to stop and dwell or be quickly aimed. It leads to improved data acquisition from extremely small objects and higher speed operation. In the case of fluorescence reading of micro-array elements, dwelling of fluorophore-exciting radiation in a spot that is relatively large enables obtaining the most fluorescent photons per array element, per unit time, a winning criterion for reducing fluorophore saturation effects. The same inertia-less deflector performs stop and dwell scanning, edge detection and raster scans. Automated mechanism for changing laser spot size enables selection of spot size optimal for the action being performed.

A system and method for estimating a channel in a wireless receiver is disclosed. The method preferably applies to a communication system using the OFDM standard. The method comprises receiving a block of “n” transmitted symbols, the symbols including pilot symbols and “d” data symbols, estimating a channel using the pilot symbols to create a channel estimate, choosing a group of “m” strongest symbols from the “d” received symbols, compensating the “m” strongest symbols using the channel estimate to create a group of “m” compensated symbols, re-estimating the channel using the group of “m” compensated symbols and pilot symbols; and either (1) repeating the steps of choosing a group of “m” strongest symbols, compensating the group of “m” strongest symbols and re-estimating the channel, or (2) using a latest channel estimate to compensate all symbols within the block. The system comprises a wireless receiver having an estimator programmed, for example, using DSP or ASIC and imbedded into the wireless system design software for accomplishing the steps set forth according to the method.

Microfluidic nozzle array devices are provided with the body of each device having at least one nozzle extending outwardly from one surface of the body. The microfluidic nozzle array devices are fabricated using an injection molding process and find particular utility in a wide range of applications, including but not limited to nanospray/electrospray applications, mass spectrometer applications, optical spectrometry applications, spotting applications (i.e., DNA or protein array), etc. Manufactured nozzles can include sealed nozzle apexes which are subsequently opened by focusing energy from an energy source on the sealed apex resulting in the opening of the nozzle channel.

A system and method for automatically recognizing license plate information, the method comprising receiving an image of a license plate, and generating a plurality of image processing data sets, wherein each image processing data set of the plurality of image processing data sets is associated with a score of a plurality of scores by a scoring process comprising determining one or more image processing parameters, generating the image processing data set by processing the image using the one or more image processing parameters, generating the score based on the image processing data, and associating the image processing data set with the score.

The present disclosure relates to an object selection system that accurately detects and automatically selects user-requested objects (e.g., query objects) in a digital image. For example, the object selection system builds and utilizes an object selection pipeline to determine which object detection neural network to utilize to detect a query object based on analyzing the object class of the query object. In addition, the object selection system can add, update, or replace portions of the object selection pipeline to improve overall accuracy and efficiency of automatic object selection within an image.

A downhole fluid analysis system comprises an input light signal that is directed through a fluid sample housed in a sample cell. The input light signal may originate from a plurality of light sources. A light signal output from the sample cell is then routed to two or more spectrometers for measurement of the represented wavelengths in the output light signal. The output of the spectrometers is then compared to known values for hydrocarbons typically encountered downhole. This provides insight into the composition of the sample fluid. Additionally, the input light can be routed directly to the two or more spectrometers to be used in calibration of the system in the high temperature and noise environment downhole.

Microfluidic nozzle array devices are provided with the body of each device having at least one nozzle extending outwardly from one surface of the body. Each nozzle includes a tip opening having a diameter of equal to or less than about 100 μm, preferably 50 μm, and more preferably 20 μm and an outer diameter of nozzle is equal to or less than about 150 μm, preferably 100 μm, and more preferably 50 μm. The microfluidic nozzle array devices are fabricated using an injection molding process and find particular utility in a wide range of applications, including but not limited to nanospray/electrospray applications, mass spectrometer applications, optical spectrometry applications, spotting applications (i.e., DNA or protein array), etc.

There are provided an environment recognition device and an environment recognition method. The environment recognition device obtains luminances of a target portion in a detection area of a luminance image, assigns a color identifier to the target portion according to the luminances of the target portion, based on association between a color identifier and a luminance range retained in a data retaining unit, an groups target portions assigned one of one or more color identifiers associated with a same specific object, and of which position differences in the width direction and in the height direction are within a predetermined range, based on association between the color identifier and the luminance range retained in the data retaining unit.

A computer-implemented system and method are described for integrating a series of auxiliary spam detection models with a base spam detection model, thereby improving the accuracy and efficiency of the overall spam detection engine. For example, a system according to one embodiment of the invention comprises: a base spam filter feature extractor to detect a first set of features from incoming email messages; one or more auxiliary model feature extractors, each of the auxiliary model feature extractors to detect a different set of features from the incoming email messages; one or more auxiliary detection modules, each of the auxiliary detection modules to receive an indication of the different sets of features detected by a corresponding one of the auxiliary model feature extractor modules and to apply weights to the detected features; and a base spam filter module to receive an indication of the first set of features from the base spam filter feature extractor and the weights generated by the auxiliary detection modules, the base spam filter module to assign base spam filter weights to the first set of features and to determine whether an email message is spam based on the weights of the first set of features and the weights of the different set of features identified by the auxiliary model feature extractors.

The invention relates to a mountain disaster-causing storm identification method based on Doppler radar and deep learning. The method comprises the following steps: extracting heavy rainfall related features of Doppler radar data, establishing the mountain disaster-causing storm model feature database by combining multisource meteorological factors and the nationwide mountain torrents disaster research and appraisal result, and acquiring all disaster-causing storm features in a radar strong echo area by adopting a fuzzy matching method; and constructing a mountain disaster-causing storm identification model with the regional property based on the deep learning method, optimizing the model, evaluating a model identification result, thereby realizing full-automatic and efficient mountain disaster-causing storm identification.

When a component is replaced or replenished in a predetermined feeder, mounters 3A and 3B refer to mount data in accordance with the feeder number for the feeder and read out the mounting position of the replaced or replenished component. The mounting position data is transmitted to a substrate inspecting apparatus 5 together with the substrate identification code of a substrate first processed after reel replacement. When the substrate corresponding to the substrate identification code is supplied, the substrate inspecting apparatus 5 refers to substrate inspection data in accordance with the mounting position data, specifies a component to be inspected, and executes the mounting error inspection according to character-string recognition for the specified component. When a mounting error is detected in this inspection, the substrate inspecting apparatus 5 transmits no-good determination to the mounters 3A and 3B receiving information.

An automated test method for performing a hi-pot test procedure for an electrical device through the use of a test program installed in a factory information system (FIS) and a test instrument connected to the FIS. The test program sends a control command to the test instrument that in turn executes the hi-pot test for the electrical device. Test results are obtained by the test program from the test instrument and sent to the FIS. The test results are stored in the FIS for future reference.

An image capturing apparatus including a plurality of image sensing modules and at least a light source is provided for capturing an image of an eye. Each of the image sensing modules includes an image sensor and a lens. The light source emits an illumination light, and the illumination light irradiates the eye. The eye reflects the illumination light into an image light. The image light includes a plurality of sub-image beams, and the sub-image beams are transmitted to the image sensors of the image sensing modules through the lenses of the image sensing modules, respectively. A capturing method is also provided.

A system and method for detecting a defect in a solar cell and repairing and characterizing a solar cell includes applying a test signal to the solar cell, monitoring the response of solar cell, detecting a defect associated with its location during the monitoring step, removing or isolating the defect from a solar cell and characterizing solar cell performance. The defect may be a short between the emitter and the base of solar cell. The system and method also detect a precise location of the defect based on the use of light valve panel (LVP), which can control the input beam to or output beam from the solar cell in terms of size, position, gray level, and wavelength of the transmitted light. The LVP may be realized in any one of a variety of ways. For example, the active matrix liquid crystal display (AMLCD) such as Thin Film Transistor driven LCD (TFT-LCD) may be used as the LVP.