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150results about How to "Increase computational cost" patented technology
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Methods for performing DAF data filtering and padding
InactiveUS6847737B1Reduce acquisition timeEnhance and improve imageImage enhancementImage analysisPattern recognitionData set
A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and / or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.
Owner:IOWA STATE UNIVERSITY +1
Methods for performing DAF data filtering and padding
InactiveUS7272265B2Reduce acquisition timeEnhance and improve imageImage enhancementImage analysisPattern recognitionData set
A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set is described where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and / or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.
Owner:IOWA STATE UNIV RES FOUND
Display apparatus and control method thereof
InactiveUS20070296646A1Low accuracy in estimatingIncrease hardware costCathode-ray tube indicatorsOptical elementsComputer hardwareComputer graphics (images)
The present invention provides a display apparatus which enables high-accuracy, hands-free operation, while adopting a low-cost configuration. The display apparatus according to the present invention includes: an obtainment unit that obtains a display element which is information to be displayed to the user; a determining unit that determines a display position of the obtained display element, at which a portion of the obtained display element can not be seen by the user; a display unit that displays the display element at the determined display position; a detection unit that detects a direction of change when an orientation of the user's head is changed; a selection unit that selects the display element to be displayed in the detected direction of change; and an execution unit that executes a predetermined process related to the selected display element.
Owner:PANASONIC CORP
Model-building optimization
ActiveUS20090083680A1Maximizing the uncertainty of the surrogate modelIncrease computational costCAD circuit designMulti-objective optimisationAlgorithmSurrogate model
A method and system for performing multi-objective optimization of a multi-parameter design having several variables and performance metrics. The optimization objectives include the performance values of surrogate models of the performance metrics and the uncertainty in the surrogate models. The uncertainty is always maximized while the performance metrics can be maximized or minimized in accordance with the definitions of the respective performance metrics. Alternatively, one of the optimization objectives can be the value of a user-defined cost function of the multi-parameter design, the cost function depending from the performance metrics and / or the variables. In this case, the other objective is the uncertainty of the cost function, which is maximized. The multi-parameter designs include electrical circuit designs such as analog, mixed-signal, and custom digital circuits.
Owner:SIEMENS PROD LIFECYCLE MANAGEMENT SOFTWARE INC
System employing data verification operations of differing computational costs
ActiveUS20070113120A1Large computational costIncrease overall efficiency and response timeAmplifier modifications to reduce noise influenceError detection/correctionData validationComputer hardware
A computer system having an optimized system for data integrity verification is disclosed. The computer system includes a processor and memory storage that is accessible by the processor. The memory storage includes stored data that is subject to data verification. The system also includes data verification software that is executable by the processor to verify the integrity of the stored data. The data verification software is executable to conduct a first integrity check on a given set of stored data and, if an error is detected, to conduct a second integrity check on the given set of stored data. The second integrity check may have a larger computational cost than the first integrity check thereby increasing the overall efficiency and response time of the system to data verification events.
Owner:BLACKBERRY LTD
Method and driver for determining drive values for driving a lighting device
ActiveUS20100072901A1Improve the problemReduce in quantityElectrical apparatusStatic indicating devicesDriving currentLight equipment
The present invention relates to a method for determining drive values for driving a lighting device at a desired brightness and color. The method comprising the steps of determining a first luminous flux weight ratio based on the desired color and a first drive current for driving each of the differently colored LEDs, determining a first luminous flux for each of the differently colored LEDs based on the desired brightness and the first luminous flux weight ratio, comparing, for each of the differently colored LEDs, the first luminous flux with a nominal luminous flux for a plurality of different drive currents, selecting, for each of the differently colored LEDs, a preferred drive current that at least can produce the first luminous flux, determining a second luminous flux weight ratio based on the desired color and the selected drive currents for each of the differently colored LEDs, determining a second luminous flux for each of the differently colored LEDs based on the desired brightness and the second luminous flux weight ratio, and determining a duty cycle for each of the differently colored LEDs at the selected drive currents, wherein the selected currents at the determined duty cycles produces the second luminous flux for each of the differently colored LEDs. The present invention provides for the possibility to limit the number of necessary computational steps for determining preferred drive currents. Furthermore, an increase in number of current level and / or differently colored LEDs would only slightly increase the computational cost.
Owner:SIGNIFY HLDG BV
Signal clipping protection using pre-existing audio gain metadata
ActiveUS20110208528A1Increase computational costReduce rateSpeech analysisVocal tractComputer science
The application describes a method and an apparatus to prevent clipping of an audio signal when protection against signal clipping by received audio metadata is not guaranteed. The method may be used to prevent clipping for the case of downmixing a multichannel signal to a stereo audio signal. According to the method, it is determined whether first gain values (4) based on received audio metadata are sufficient for protection against clipping of the audio signal. The audio metadata is embedded in a first audio stream (1). In case a first gain value (4) is not sufficient for protection, the respective first gain value (4) is replaced with a gain value sufficient for protection against clipping of the audio signal. Preferably, in case no metadata related to dynamic range control is present in the first audio stream (1), the method may add gain values sufficient for protection against signal clipping.
Owner:DOLBY INT AB
Sensor Fusion System and Method for Estimating Position, Speed and Orientation of a Vehicle, in Particular an Aircraft
InactiveUS20070213889A1Increase computational costOptical rangefindersDigital data processing detailsBody axisKinematics equations
This invention relates to a system for estimating the position, speed and orientation of a vehicle (10), comprising means for determining the components of two noncollinear constant unit vectors b, b according to vehicle body axes; means for determining the components of said noncollinear constant unit vectors {right arrow over (g)}t, {right arrow over (e)}t according to Earth's axes; means for determining the three components of angular velocity b of the vehicle in body axes; means for correcting said angular velocity b with a correction uω and obtaining a corrected angular velocity {circumflex over (ω)}b=b+uω; a control module (14) implementing a control law to calculate said correction uω, where said control law is: uω=σ(b×ĝb+<?img id="custom-character-00007" he="3.13mm" wi="1.78mm" file="US20070213889A1-20070913-P00901.TIF" alt="custom character" img-content="character" img-format="tif" ?>b×êb) [1]where σ is a positive scalar, such that upon using said corrected angular velocity {circumflex over (ω)}b=b+uω as input to a module for integrating the kinematic equations, the latter are stable in the ISS sense and the error in the estimation of the direction cosine matrix {circumflex over (B)} and of the Euler angles {circumflex over (Φ)} is bounded.
Owner:INST NACIONAL DE TECNICA AEROESPACIAL
Robot whole-situation path planning method facing uncertain environment of mixed terrain and region
InactiveCN102854880AIncrease computational costProcessing speedPosition/course control in two dimensionsMultiple targetReal-time computing
The invention discloses a robot whole-situation path planning method facing an uncertain obstacle environment of mixed terrain and region, aiming to enabling the robot to finish a task by the lowest risk degree under a mixed terrain environment. The robot whole-situation path planning method comprises the following steps of: (1) detecting and constructing a robot working environment model comprising a movement starting point, a target point, static obstacle position and shape, a possible covering region of an uncertain obstacle, and covering terrain type and region; (2) adopting a weighting passable length of a terrain passable degree as a path evaluation performance index I; (3) adopting a path containing degree for describing an uncertain obstacle covering region covering degree as a path evaluation performance index II; (4) constructing a path feasible region according to a penetration degree between static obstacles to realize efficient path feasibility judgment and repairing; (5) extracting an advantage path public segment for automatically generating a feasible path; and (6) aiming at two performance indexes of the steps (3) and (4), adopting a multi-target cultural algorithm to realize path evolution and optimization.
Owner:CHINA UNIV OF MINING & TECH
Method for adaptive segment refinement in optical proximity correction
InactiveUS7043712B2Increase computational costAccurate representationOriginals for photomechanical treatmentComputer aided designPattern recognitionCurve fitting
A method of designing lithographic masks is provided where mask segments used in a model-based optical proximity correction (MBOPC) scheme are adaptively refined based on local image information, such as image intensity, gradient and curvature. The values of intensity, gradient and curvature are evaluated locally at predetermined evaluation points associated with each segment. An estimate of the image intensity between the local evaluation points is preferably obtained by curve fitting based only on values at the evaluation points. The decision to refine a segment is based on the deviation of the simulated image threshold contour from the target image threshold contour. The output mask layout will provide an image having improved fit to the target image, without a significant increase in computation cost.
Owner:IBM CORP
Methods of protecting against spam electronic mail
InactiveUS7644274B1Efficient and computationally non-intensiveSave resourcesUser identity/authority verificationInternet privacyElectronic mail
Methods of preventing spam email in an email system include determining whether a sender of email to a receiver of email has paid a required setup price or cost to become a registered sender of email to the receiver. If it is determined that the sender has not paid the required setup cost, then the receiver can reject the sender's email to thereby eliminate the receipt of unwanted spam messages. In order to qualify as a registered sender, the sender undergoes a qualification scheme wherein it pays the required cost, which may be for example monetary or computationally related, and is assigned an encrypted key by the receiver which allows the sender to send to the receiver email authenticated using the unique key associated with the sender and receiver. The receiver has the option of accepting or rejecting email from a sender in this fashion and can change the required setup cost or requirement at any time to ensure that the sender does not try to corrupt the email system once registered.
Owner:RPX CORP +1
Sensor fusion system and method for estimating position, speed and orientation of a vehicle, in particular an aircraft
InactiveUS7970500B2Increase computational costInstruments for road network navigationOptical rangefindersBody axisKinematics equations
This invention relates to a system for estimating the position, velocity and orientation of a vehicle, by determining the components of two noncollinear constant unit vectors b,b according to vehicle body axes; and determining the components of the noncollinear constant unit vectors {right arrow over (g)}t,{right arrow over (e)}t according to Earth's axes. The system further determines the three components of angular velocity b of the vehicle in body axes; corrects the angular velocity b with a correction uω and obtains a corrected angular velocity {circumflex over (ω)}b=b+uω; a control module implementing a control law to calculate the correction uω, where the control law is:uω=σ(b×ĝb+b×êb) [1]where σ is a positive scalar,such that upon using the corrected angular velocity {circumflex over (ω)}b=b+uω as input to a module for integrating the kinematic equations, the latter are stable in the ISS sense and the error in the estimation of the direction cosine matrix {circumflex over (B)} and of the Euler angles {circumflex over (φ)} is bounded.
Owner:INST NACIONAL DE TECNICA AEROESPACIAL
Combined watermarking and fingerprinting
ActiveUS8300884B2Improve signal-to-noise ratioImprove robustnessDigital data processing detailsUser identity/authority verificationDigital watermarkingFingerprint
Content fingerprints and watermarks are combined in various ways for content identification applications. Fingerprints are used to identify content generally while watermarks provide more detailed localization of parts within the content, and vice versa. Fingerprint techniques are further used for signal synchronization and other pre-processing steps to assist in digital watermark decoding. A variety of fingerprint / watermark techniques identify characteristics of the channel of content from content samples.
Owner:DIGIMARC CORP
Identifying Text Pixels in Scanned Images
InactiveUS20120237116A1Easy to identifyReduce decreaseCharacter recognitionPattern recognitionArtificial intelligence
A processor and method make use of multiple weak classifiers to construct a single strong classifier to identify regions that contain text within an input image document. The weak classifiers are grouped by their computing cost from low to median to high, and each weak classifier is assigned a weight value based on its ability to accurately identify text regions. A level 1 classifier is constructed by selecting weak classifiers from the low group, a level 2 classifier is constructed by selecting weak classifiers from the low and median groups, and a level 3 classifier is constructed by selecting weak classifiers from the low, median and high groups. Regions that the level 1 classifier identifies as containing text are submitted to the level 2 classifier, and regions that the level 2 classifier identifies as containing text are submitted to the level 3 classifier.
Owner:SEIKO EPSON CORP
Query optimization method based on join index in data warehouse
ActiveCN104866608AReduce storage overhead and maintenance costsGood performanceMulti-dimensional databasesSpecial data processing applicationsQuery optimizationMemory address
The invention relates to a query optimization method based on a join index in a data warehouse. The method comprises the following steps: creating a fact table foreign key join index based on a dimension table surrogate key; creating a join index update strategy; when a predicate condition exists on a dimension table, making a predicate judgment after direct access to dimension table record through the join index, and performing calculation through a dynamic bitmap join index by reference to a bitmap join index to generate a join bitmap index; when the selection rate on the dimension table is very low, further compressing a dimension table bitmap in order to raise the cache level of dimension table bitmap calculation; and calculating simple memory address access by only using an array-bitmap data structure with a reference bitmap join index calculation method based on co-processor memory calculation. Through adoption of the query optimization method, the calculation performance of the bitmap index can be effectively increased. Moreover, the query optimization method can be combined with high-performance co-processors such as GPU and Intel Xeon Phi TM to accelerate the index calculation performance, and can be widely applied to the field of data warehouses.
Owner:RENMIN UNIVERSITY OF CHINA
Removing ringing and blocking artifacts from JPEG compressed document images
InactiveUS20070280551A1Efficient removalIncrease computational costCharacter and pattern recognitionDigital video signal modificationColor imageSignal-to-noise ratio (imaging)
A method of removing ringing and blocking artifacts from a decompressed digital image. In one method, a background value of the digital image a background region and foreground regions is determined, and a threshold value is computed. A mapping of the digital image is then generated by thresholding the digital image based on the threshold value to produce a thresholded image, and enlarging the foreground regions of the thresholded image to form a map image. The mapping includes the background pixels of the map image. The background region of the decompressed digital image is then cleansed based on the mapping. In an alternate method, ringing artifacts are removed from a decompressed digital image based on a signal-to-noise ratio of the image. In yet another alternate embodiment, ringing artifacts are from a decompressed digital color image that includes a chrominance channel and a luminance channel. An alternate embodiment removes ringing and blocking artifacts.
Owner:XEROX CORP
Generalized decision feedback equalizer precoder with input covariance matrix calculation for multi-user multiple-input multiple-output wireless transmission systems
InactiveUS20110058598A1Reduce computing costImprove performanceMultiple-port networksDelay line applicationsSingular value decompositionWireless transmission
To realize a GDFE precoder for multi-user MIMO systems, which significantly reduces the computational cost while resulting in no capacity loss, one method comprises computing an effective UL channel matrix HUL using one of two methods HUL=HDLH, or HUL=[(Pt / Nt)HDLHHDL+I]−1 / 2HDLH; extracting Hk from HUL; computing a singular value decomposition of the DL channel between the BS and kth UT, Hk, for all K UTs, Hk=UkSkVkH; extracting all singular values as s=[diag(S1), . . . , diag(SK)]; extracting a vector ŝ from s by choosing first utmost Nt largest non-zero singular values of s; sorting elements in ŝ in decreasing order; performing water-filling to allocate power and obtain a diagonal matrix Γk representing power allocations corresponding to the singular values of the kth UT; computing an UL covariance matrix for each UT as Φk=UkΓkUkH; and obtaining an overall input covariance matrix D for the equivalent UL channel.
Owner:HITACHI LTD
Method and device for detecting objects in video and computer storage medium
ActiveCN108256506AGuaranteed accuracySave computing cost and timeCharacter and pattern recognitionObject detectionComputer engineering
The invention discloses a method and device for detecting objects in a video and a computer storage medium. The method includes: determining a plurality of key frames according to the target video, and performing object detection on each key frame to obtain the detection result of each key frame; determining the detection result of an in-between frame between every two adjacent key frames; correcting the detection result of each in-between frame to obtain the corrected detection result of each in-between frame; determining the detection result of the target video according to the detection result of each key frame and the corrected detection result of each in-between frame.
Owner:BEIJING SENSETIME TECH DEV CO LTD
Visual question and answer method based on multi-modal decomposition model
InactiveCN107679582AImprove performanceEffective understandingCharacter and pattern recognitionNetwork architectureMesh grid
A visual question and answer method based on a multi-modal decomposition model is provided. The method is characterized in that the image is trained in an ImageNet dataset and image features are extracted, the question is marked as texts into feature vectors; a collaborative attention model is introduced into the basic network architecture, image and question related features are learned, and fine-grained correlation among multi-modal features are characterized; and multi-modal features enter a multi-modal decomposition bilinear pool (MFB) or a multi-modal decomposition high order cell (MFH) module image to generate a fusion image question feature z, and the z is put into the classifier to predict the best matching answer. According to the method provided by the present invention, the collaborative attention model is used to predict the correlation between each spatial grid in the image and the question, and the best matching answer can be accurately predicted in a facilitated manner;and in combination with the image attention mechanism, the model can effectively understand which image region is important to the question, so that the performance of the model and the accuracy of the question and answer can be significantly improved.
Owner:SHENZHEN WEITESHI TECH
Cryptographically secure financial instruments
InactiveUS20180204284A1Enhance financial instrumentsIncrease computational costFinanceCommunication with homomorphic encryptionPlaintextData set
Systems, methods and financial instruments enhanced with secure computation. A financial instrument management system is implemented with secure computation capabilities, respecting the privacy and secrecy rights during computation of the information contained within financial instruments, external datasets and / or secure computation programs. Automatic conversion and aggregation of conventional financial instruments is also disclosed. Furthermore, secure computation programs can be certified with mathematical proofs about very advantageous and valuable properties such as their correct termination, conformance to a specification, or any other pre-conditions, post-conditions and invariants on their inputs and outputs, encrypted or in plaintext form.
Owner:CEREZO SANCHEZ DAVID
Neural network system, and computer-implemented method of generating training data for the neural network
InactiveUS20170076199A1Cost of useIncrease computational costNatural language translationSpecial data processing applicationsHidden layerNeural network system
A neural network 80 for aligning a source word in a source sentence to a word or words in a target sentence parallel to the source sentence, includes: an input layer 90 to receive an input vector 82. The input vector includes an m-word source context 50 of the source word, n−1 target history words 52, and a current target word 98 in the target sentence. The neural network 80 further includes: a hidden layer 92 and an output layer 94 for calculating and outputting a probability as an output 96 of the current target word 98 being a translation of the source word.
Owner:NAT INST OF INFORMATION & COMM TECH
Variable resolution model based image segmentation
InactiveUS20090202150A1Effectively controlling smoothness of the computed model surface representedIncrease computational costImage enhancementImage analysisCoarse meshData set
The invention relates to system (100) for segmenting an image dataset based on a deformable model for modeling an object in the image dataset, utilizing a coarse mesh for adapting to the image dataset and a fine mesh for extracting detailed information from the image dataset, the system comprising an initialization unit (110) for initializing the coarse mesh in an image dataset space, a construction unit (120) for constructing the fine mesh in the image dataset space based on the initialized coarse mesh, a computation unit (130) for computing an internal force field on the coarse mesh and an external force field on the coarse mesh, wherein the external force is computed based on the constructed fine mesh and the scalar field of intensities, and an adaptation unit (140) for adapting the coarse mesh to the object in the image dataset, using the computed internal force field and the computed external force field, thereby segmenting the image dataset. Since only the coarse mesh is adapted to the image dataset, keeping the modeled object surface smooth does not require a smoothing of the surface over large neighboring areas, and therefore the adaptation of the coarse mesh is much faster than the adaptation of the fine mesh. Advantageously, the proposed technique can be easily integrated into existing frameworks of model-based image segmentation.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV
Method and device for estimating noise in a reconstructed image
InactiveUS20130051674A1Improve performanceImprove denoising effectImage enhancementImage analysisPattern recognitionVolumetric Mass Density
A method for estimating noise in a reconstructed image through post-processing includes the steps: dividing the reconstructed image to generate image segments; applying a multi-resolution transformation or directional filter bank on at least part of the image segments to generate transformed image segments; and for each transformed image segment estimating a direction dependent noise power S0(θ); calculating a first noise covariance matrix from an isotropic power spectral density |ω∥G(ω)|2; and calculating a second noise covariance matrix in the transformed image segment through the product of the direction dependent noise power S0(θ) and the first noise covariance matrix.
Owner:UNIV GENT +1
Structural weak spot analysis
ActiveUS20150278414A1High computational costSuperior predictive powerComputation using non-denominational number representationDesign optimisation/simulationOptimization problemSystem usage
A system and methods for weak spot analysis. A mesh shape is preprocessed to approximate an input model for an object. The mesh shape is analyzed with modal analysis to identify weak regions. A method and system for determining weak spots in an object. The method and system uses an optimization problem which is solved to determine a pressure distribution on the object maximizing maximal principal stress by solving a set of optimization problems maximizing stress for each point of the object.
Owner:NEW YORK UNIVERSITY
Method and driver for determining drive values for driving a lighting device
ActiveUS8013533B2Reduce in quantityExtended service lifeElectrical apparatusStatic indicating devicesDriving currentPower flow
The present invention relates to a method for determining drive values for driving a lighting device at a desired brightness and color. The method comprising the steps of determining a first luminous flux weight ratio based on the desired color and a first drive current for driving each of the differently colored LEDs, determining a first luminous flux for each of the differently colored LEDs based on the desired brightness and the first luminous flux weight ratio, comparing, for each of the differently colored LEDs, the first luminous flux with a nominal luminous flux for a plurality of different drive currents, selecting, for each of the differently colored LEDs, a preferred drive current that at least can produce the first luminous flux, determining a second luminous flux weight ratio based on the desired color and the selected drive currents for each of the differently colored LEDs, determining a second luminous flux for each of the differently colored LEDs based on the desired brightness and the second luminous flux weight ratio, and determining a duty cycle for each of the differently colored LEDs at the selected drive currents, wherein the selected currents at the determined duty cycles produces the second luminous flux for each of the differently colored LEDs. The present invention provides for the possibility to limit the number of necessary computational steps for determining preferred drive currents. Furthermore, an increase in number of current level and / or differently colored LEDs would only slightly increase the computational cost.
Owner:SIGNIFY HLDG BV
Extraction and tracking of image regions arranged in time series
InactiveUS20060280335A1High degree-of-freedomSimplify interaction processImage enhancementImage analysisImaging FeatureHistogram
The invention provide methods and apparatus for effectively identifying the occlusion of objects, such as persons, having a high degree of freedom. In an example embodiment, after initialization, an image is input, and an image region is extracted from image data. The distance is employed that is obtained when the shape of a two-dimensional histogram in the color space is transformed into the feature space. A graph is formed by using, the regions between the frames. A confidence factor is provided and image features are provided as weights to the edges that connect the nodes. Processing is performed, and the confidence factor is examined. A connection judged less possible to be a path is removed. When there is only one available connection for the occlusion point, this connection is selected.
Owner:IBM CORP
Method for detecting object formed of regions from image
InactiveUS7483548B2Increase computational costImage analysisBiometric pattern recognitionHuman bodyPattern recognition
An apparatus for detecting a person or the like from an image extracts candidates, which are considered to human body regions, from the image. Region likelihood probabilities of the respective candidates are obtained, and a human body likelihood of a collection of the candidates is probabilistically calculated using the region likelihood probabilities and correlations among the candidates. It is thereby possible to detect the person robustly against occlusion or change in photographic environment without increasing calculation cost.
Owner:MINOLTA CO LTD
Wind farm multi-model draught fan optimized arrangement method based on genetic algorithm
InactiveCN103793566ACoding is intuitiveIntuitive and accurate position relationshipSpecial data processing applicationsAlgorithmSquare mesh
Owner:TONGJI UNIV
Fast generalized decision feedback equalizer precoder implementation for multi-user multiple-input multiple-output wireless transmission systems
InactiveUS20100232494A1Reduce computing costImprove performanceMultiple-port networksDelay line applicationsCapacity lossTransport system
A technique is used to realize a generalized decision feedback equalizer (GDFE) Precoder for multi-user multiple-input multiple-output (MU-MIMO) systems, which significantly reduces the computational cost while resulting in no capacity loss. The technique is suitable for improving the performance of various MU-MIMO wireless systems including future 4G cellular networks. In one embodiment, a method for configuring a GDFE precoder in a base station of a MU-MIMO wireless system having k user terminals, each user terminal having associated therewith a feedforward filter. The method comprises computing a filter matrix C using one of a plurality of alternative formulas of the invention; and, based on the computation of the filter matrix C, computing a transmit filter matrix B for a transmit filter used to process a symbol vector obtained after a decision feedback equalizing stage of the GDFE precoder, a feedforward filter matrix F, and an interference pre-cancellation matrix G.
Owner:HITACHI LTD
Method and apparatus for identifying concrete crack based on video semantic segmentation technology
ActiveUS20210319547A1High mIoU valueStrong robustnessImage enhancementImage analysisPattern recognitionEngineering
A method and apparatus for identifying a concrete crack includes: obtaining a crack video, and manually annotating a video image frame by using a label; predicting a future frame and label for the annotated frame by using a spatial displacement convolutional block, propagating the future frame and label, to obtain a synthetic sample, and preprocessing the synthetic sample, to form a crack database; modifying input and output ports of data of a deep learning model for video semantic image segmentation and a parameter, to enable the deep learning model to accept video input, and establishing a concrete crack detection model based on the video output; using a convolutional layer in a trained deep learning model as an initial weight of the concrete crack detection model for migration; inputting the crack database into a migrated concrete crack detection model, and training the concrete crack detection model for crack data.
Owner:ZHEJIANG UNIV
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