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公开(公告)号：US12131247B2
公开(公告)日：2024-10-29
申请号：US17126067
申请日：2020-12-18
申请人： WUHAN UNIVERSITY
发明人： Yigang He , Chaolong Zhang , Guolong Shi , Hui Zhang , Liulu He , Bolun Du
摘要： A transformer failure diagnosis method and system based on an integrated deep belief network are provided. The disclosure relates to the fields of electronic circuit engineering and computer vision. The method includes the following: obtaining a plurality of vibration signals of transformers of various types exhibiting different failure types, retrieving a feature of each of the vibration signals, and establishing training data through the retrieved features; training a plurality of deep belief networks exhibiting different learning rates through the training data and obtaining a failure diagnosis correct rate of each of the deep belief networks; and keeping target deep belief networks corresponding to the failure diagnosis correct rates that satisfy requirements, building an integrated deep belief network through each of the target deep belief networks, and performing a failure diagnosis on the transformers through the integrated deep belief network.
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公开(公告)号：US20240348441A1
公开(公告)日：2024-10-17
申请号：US18132274
申请日：2023-04-07
申请人： NXP B.V.
发明人： Joost Roland Renes , Björn Fay
CPC分类号： H04L9/3093 , G06F17/14
摘要： Electronic device and method for performing number theoretic transforms (NTTs) on polynomials for cryptography uses an arithmetic transformation on an input polynomial with n coefficients to divide the input polynomial into multiple polynomials each with less than n coefficients such that the coefficients of the multiple polynomials add up to n. An NTT transformation is executed on the multiple polynomials such that the coefficients of each of the multiple polynomials are processed in parallel butterfly operations. A cryptographic operation is performed based on the results of the NTT transformation.
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公开(公告)号：US12118056B2
公开(公告)日：2024-10-15
申请号：US16403245
申请日：2019-05-03
发明人： Fa-Long Luo
CPC分类号： G06F17/16 , G06F9/30007 , G06F9/3004 , G06F17/142
摘要： Methods and apparatus for performing matrix transforms within a memory fabric. Various embodiments of the present disclosure are directed to converting a memory array into a matrix fabric for matrix transformations and performing matrix operations therein. Exemplary embodiments described herein perform matrix transformations within a memory device that includes a matrix fabric and matrix multiplication unit (MMU). In one exemplary embodiment, the matrix fabric uses a “crossbar” construction of resistive elements. Each resistive element stores a level of impedance that represents the corresponding matrix coefficient value. The crossbar connectivity can be driven with an electrical signal representing the input vector as an analog voltage. The resulting signals can be converted from analog voltages to a digital values by an MMU to yield a vector-matrix product. In some cases, the MMU may additionally perform various other logical operations within the digital domain.
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公开(公告)号：US12105016B2
公开(公告)日：2024-10-01
申请号：US17589234
申请日：2022-01-31
申请人： PENROSE HILL
发明人： Matthew K. Martz , Philip James , Erik Steigler
CPC分类号： G01N21/17 , G06F17/14 , G06N3/042 , G06V10/809 , G06V10/85 , G01N2021/1765
摘要： Some embodiments of the present disclosure relate to systems and methods including generating, by infrared spectroscopy, spectra data identifying quantities and associated wavelengths of radiation absorption for each of a plurality of wine samples as determined by the infrared spectroscopy; converting the spectra data for each wine sample to a set of discretized data; transforming the discretized data into a visual image representation of each respective wine sample, the visual image representation of each wine sample being an optically recognizable representation of the corresponding converted set of discretized data; and storing a record including the visual image representation of each wine sample in a memory.
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公开(公告)号：US12099570B2
公开(公告)日：2024-09-24
申请号：US17650923
申请日：2022-02-14
IPC分类号： G06F16/901 , G06F16/9032 , G06F17/14 , G06F17/18 , G06F18/00 , G06F18/2413
CPC分类号： G06F18/00 , G06F16/901 , G06F16/90328 , G06F17/14 , G06F17/18 , G06F18/24147 , G06F2218/08 , G06F2218/16
摘要： Techniques allow a computer to responsively search for graph shapes similar to a user-selected graph shape much faster. Data can be pre-processed and stored as vectors, along with an index. The index can be used to find similar vectors that represent graph shapes similar to a user-selected shape in a computationally efficient manner. Vectors of multiple resolutions can be used to anticipate different sizes of a graph that a user can select, and comparisons can be repeated and refined. When a satisfactorily small number of candidate vectors are determined, more computationally intensive distance calculations can be performed on data reconstructed from the vectors.
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公开(公告)号：US12093005B2
公开(公告)日：2024-09-17
申请号：US17505458
申请日：2021-10-19
申请人： Intel Corporation
IPC分类号： G05B19/042 , F24F11/63 , G06F11/30 , G06F17/14
CPC分类号： G05B19/042 , F24F11/63 , G06F11/3013 , G06F11/3089 , G06F17/14 , G06F2201/81
摘要： Apparatus and method to facilitate automatic detection of a device state are disclosed herein. Selectively constraining a sensor based data set associated with one or more states of a device, wherein selectively constraining the sensor based data set includes analyzing a distribution of the sensor based data set to determine whether to constrain the sensor based data set, the sensor based data set including a first class and a second class of data values. Determining a threshold associated with the sensor based data set by selecting the threshold based on a variance between the first and second classes of the sensor based data set, wherein selecting the threshold includes using a constrained sensor based data set when the sensor based data set is determined to be constrained, and wherein the threshold indicates the data values associated with the first and second classes.
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7.发明公开公开(公告)号：US20240289610A1
公开(公告)日：2024-08-29
申请号：US18214881
申请日：2023-06-27
发明人： Gang WANG , Hongjie CAO , Jian SUN , Minggang GAN , Jie CHEN
IPC分类号： G06N3/08 , G06F17/14 , G06F17/16 , G06N3/0442 , G06N3/0464 , H03H17/02
CPC分类号： G06N3/08 , G06F17/142 , G06F17/16 , G06N3/0442 , G06N3/0464 , H03H17/0257
摘要： Disclosed is a hybrid data- and model-driven method for predicting remaining useful life of a mechanical component. The method of the present disclosure uses an extended Kalman filter to calibrate parameters of an exponential random model, automatically learns input embedded position information by means of an adaptive encoding layer of a hybrid driven prediction model, and then models a mapping relation between input data and the remaining useful life by means of a multi-head attention mechanism. The present disclosure retains both accuracy of a model-based method and a generalization capability of a data-driven method in combination with the calibrated exponential random model and a multi-head attention neural network structure, can improve accuracy of predicting the remaining useful life of the mechanical component, and has great significance for use of the hybrid data- and model-driven method in the field of intelligent manufacturing and health management of mechanical apparatuses.
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公开(公告)号：US12033646B2
公开(公告)日：2024-07-09
申请号：US16869022
申请日：2020-05-07
IPC分类号： G06F17/14 , G06F17/12 , G10L19/022 , G10L25/45
CPC分类号： G10L19/022 , G06F17/12 , G06F17/14 , G06F17/142 , G06F17/147 , G10L25/45
摘要： There are provided methods and apparatus for performing modified cosine transformation (MDCT) with an analysis/synthesis windowing function, using an analysis windowing function having a meandering portion which passes a linear function in correspondence of at least four points.
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9.发明公开公开(公告)号：US20240211537A1
公开(公告)日：2024-06-27
申请号：US18433974
申请日：2024-02-06
发明人： Fa-Long Luo
IPC分类号： G06F17/16 , G06F1/03 , G06F12/02 , G06F17/14 , G11C11/4094
CPC分类号： G06F17/16 , G06F1/03 , G06F12/0207 , G06F17/147 , G11C11/4094
摘要： Video processing matrix operations within a memory fabric, including converting a memory array into a matrix fabric for discrete cosine transform (DCT) matrix transformations and performing DCT matrix operations therein. For example, DCT matrix-matrix multiplication operations are performed within a memory device that includes a matrix fabric and matrix multiplication unit (MMU). Matrix-matrix multiplication operations may be obtained using separate matrix-vector products. The matrix fabric may use a crossbar construction of resistive elements. Each resistive element stores a level of impedance that represents the corresponding matrix coefficient value. The crossbar connectivity can be driven with an electrical signal representing the input vector as an analog voltage. The resulting signals can be converted from analog voltages to a digital values by an MMU to yield a vector-matrix product. In some cases, the MMU may additionally perform various other logical operations within the digital domain.
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公开(公告)号：US12008066B2
公开(公告)日：2024-06-11
申请号：US17816487
申请日：2022-08-01
发明人： Frederick A. Ware , Cheng C. Wang
摘要： An integrated circuit including a multiplier-accumulator execution pipeline including a plurality of multiplier-accumulator circuits to process the data, using filter weights, via a plurality of multiply and accumulate operations. The integrated circuit includes first conversion circuitry, coupled the pipeline, having inputs to receive a plurality of sets of data, wherein each set of data includes a plurality of data, Winograd conversion circuitry to convert each set of data to a corresponding Winograd set of data, floating point format conversion circuitry, coupled to the Winograd conversion circuitry, to convert the data of each Winograd set of data to a floating point data format. In operation, the multiplier-accumulator circuits are configured to perform the plurality of multiply and accumulate operations using the data of the plurality of Winograd sets of data from the first conversion circuitry and the filter weights, and generate output data based on the multiply and accumulate operations.
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