Abstract: A spiking convolutional neural network based on a FLASH storage and computing array, including: a sampling module, a FLASH-based storage and computing array and a corresponding neuron module, and a counter module; the sampling module is used to sample an input image to obtain an input spike; the FLASH-based storage and computing array stores a weight matrix, and is used to perform a vector matrix multiplying operation on the input spike and the weight matrix, and an operation result is output in a form of current; the neuron module is used to integrate the operation result of the FLASH-based storage and computing array so as to generate an output spike; the counter module is used to count a number of spikes generated by the neuron module of an output layer, and determine the number of spikes of the neuron module with a largest number of spikes as a recognition result.

Abstract: A method and a system for power equipment diagnosis based on windowed feature and Hilbert visualization are provided, which belong to the field of power equipment fault diagnosis. The method includes: obtaining an original data set of monitoring data containing power equipment fault features; introducing windowed feature calculation considering logarithmic constraints to process data to obtain a feature sequence; using Hilbert visualization method for further processing to obtain a Hilbert image data set used to train and verify a convolutional neural network; and finally directly inputting newly obtained test sample data after windowed feature calculation and Hilbert visualization processing into the trained network for fault diagnosis and location.

Abstract: The present disclosure provides a spray device and a cleaning apparatus. The spray device includes an atomization structure, which is configured to atomize a cleaning liquid when the cleaning liquid is sprayed to form liquid droplets, and a jet structure, which is configured to spray a gas along a determined direction to cause the gas sprayed to collide with the liquid droplets to form atomized particles. The spray device provided by the present disclosure may increase cleaning uniformity and cleaning efficiency to improve cleaning process results, and may further reduce an impact force to the to-be-cleaned surface by the liquid droplets to a certain level. Thus, the damage to a surface pattern of a wafer may be reduced.

Abstract: The present application discloses a pixel unit and a signal processing method for a pixel unit. The pixel unit includes at least one pixel, and the pixel includes: an N-type main pixel, a P-type main pixel, and a sub-pixel; and the sub-pixel is located between the N-type main pixel and the P-type main pixel; or the pixel includes at least a first pixel and a second pixel that are adjacent to each other; the first pixel includes an N-type main pixel, and the second pixel includes a P-type main pixel; the first pixel and the second pixel share one sub-pixel; the sub-pixel is configured to generate and output a signal difference between the N-type main pixel and the P-type main pixel according to the current.

Abstract: A system and a method for compressing an image based on a FLASH in-memory computing array are provided. The system includes: a convolutional neural network for encoding of the FLASH in-memory computing array, a convolutional neural network for decoding based on the FLASH in-memory computing array, and a quantization module; the convolutional neural network for encoding based on the FLASH in-memory computing array is configured to encode an original image to obtain a feature image; the quantization module is configured to quantize the feature image to obtain a quantized image; the convolutional neural network for decoding based on the FLASH in-memory computing array is configured to decode the quantized image to obtain a compressed image.

Abstract: A deep neural network based on analog FLASH computing array, includes a number of computing arrays, a number of subtractors, a number of activation circuit units and a number of integral-recognition circuit units. The computing array includes a number of computing units, a number of word lines, a plurality number of bit lines and a number of source lines. Each of the computing units includes a FLASH cell. The gate electrodes of the FLASH cells in the same column are connected to the same word line. The source electrodes of the FLASH cells in the same column are connected to the same source line, and the drain electrodes of the FLASH cells in the same row are connected to the same bit line. Each of the subtractors includes a positive terminal, a negative terminal and an output terminal.

Abstract: An operating circuit and an operating method of a resistive random-access memory are provided, the operating circuit includes: at least one capacitance connected in series with the resistive random-access memory, so that the resistive random-access memory is grounded through the at least one capacitance. The operating method includes: connecting at least one capacitance in series with a resistive random-access memory, so that the resistive random-access memory is grounded through the capacitance; applying a forming pulse voltage or a set pulse voltage on the resistive random-access memory to achieve a forming operation or a set operation of the resistive random-access memory.

Abstract: The present application discloses a UTBB photodetector pixel unit, array and method, including: a silicon film layer, a buried oxide layer, a charge collection layer and a substrate, the silicon film layer, the buried oxide layer, the charge collection layer and the substrate being arranged in sequence from top to bottom; the silicon film layer includes NMOS transistors or PMOS transistors; the charge collection layer includes charge collection control regions and charge accumulation regions; and the substrate includes an N-type substrate or a P-type substrate. A centripetal electric field is formed around the charge accumulation regions, and photo-generated charges are accumulated in the corresponding pixel units under the action of the centripetal electric field.

Abstract: A method and a device for securing a cache against side channel attacks are provided. An allocator identifier ALLOCATOR field is added to each cache entry in the present disclosure. Whenever an entry is allocated in the cache, the identifier of the software domain currently running on the processor is filled into the ALLOCATOR field of the allocation entry. When accessing the cache, the cache entry can be hit only if the identifier of the software domain currently running on the processor is identical to the ALLOCATOR field in the cache entry. If the cache entry to be replaced is invalid or its ALLOCATOR field is identical to the identifier of the software domain currently running on the processor, then the existing entry in the cache is replaced directly; otherwise, the entire cache is emptied.

Abstract: A transformer fault diagnosis and positioning system based on a digital twin is provided and includes the following. A communication sensing module, which is configured to transmit bottom-level monitoring data obtained from a device entity to a system support module. The system support module, which is configured to receive and preprocess bottom-level monitoring data, and store various data, models and expert systems. A dynamic twin module, which is configured to analyze a multi-dimensional probability status of a device fault, construct a dynamic degradation model of different health states, and realize model correction through human-computer interaction, real-time measurement, and dynamic update subsequently. A decision-making diagnosis module, which is configured to construct a digital twin of data to be diagnosed, to realize diagnosis and positioning of the health state.

Abstract: The present disclosure relates to the field of semiconductor integrated circuits and manufacturing technologies thereof, and discloses a method and device for realizing a convolution operation based on an NOR flash storage structure. The NOR flash array has a structure of an array composed of a plurality of NOR flash cells. The convolution operation method includes: storing elements of a convolution kernel matrix into the NOR flash cells; converting elements of an input matrix into voltages and applying the voltages to gate terminals of the NOR flash cells; applying a driving voltage to source terminals of the NOR flash cells; and collecting, via drain terminals of the NOR flash cells, current values of each column to obtain a convolution operation result.

Abstract: A method for selection of a calibration set and a validation set based on spectral similarity and modeling. The method includes: performing NIR spectrometry on original samples to obtain a spectral matrix of the original samples; randomly selecting m samples as an independent test set; calculating spectral similarity between each of the samples in the independent test set and each of the remaining samples in the original samples respectively to obtain g samples having the highest similarity to be written into the validation set; and calculating spectral similarity between each of the samples in the validation set and each of the remaining samples in the original samples respectively to obtain n samples having the highest similarity to be written into the calibration set. Based on the validation set and the calibration set selected through the method, an obtained model can predict unknown samples more accurately.

Abstract: The present disclosure provides a spray device and a cleaning apparatus. The spray device includes an atomization structure, which is configured to atomize a cleaning liquid when the cleaning liquid is sprayed to form liquid droplets, and a jet structure, which is configured to spray a gas along a determined direction to cause the gas sprayed to collide with the liquid droplets to form atomized particles. The spray device provided by the present disclosure may increase cleaning uniformity and cleaning efficiency to improve cleaning process results, and may further reduce an impact force to the to-be-cleaned surface by the liquid droplets to a certain level. Thus, the damage to a surface pattern of a wafer may be reduced.

Abstract: A method and a system for power equipment diagnosis based on windowed feature and Hilbert visualization are provided, which belong to the field of power equipment fault diagnosis. The method includes: obtaining an original data set of monitoring data containing power equipment fault features; introducing windowed feature calculation considering logarithmic constraints to process data to obtain a feature sequence; using Hilbert visualization method for further processing to obtain a Hilbert image data set used to train and verify a convolutional neural network; and finally directly inputting newly obtained test sample data after windowed feature calculation and Hilbert visualization processing into the trained network for fault diagnosis and location.

Abstract: A method and system for constructing a transverse topological relationship and a memory are provided. In the method, lane group data in a high-definition map is acquired; for each lane group, a shared boundary line group of two adjacent lanes is sequentially extracted, and the number of parallel boundary line elements is determined; if the number is 1, a transverse topological relationship between the two adjacent lanes is not generated, otherwise the number and types of boundary line units on the parallel boundary line elements are determined; and if the number of the boundary line units is 1, the transverse topological relationship between the two adjacent lanes is generated, otherwise segmentation processing is performed on the lane group along a lane direction, and the transverse topological relationship between two adjacent lanes in each of segments, which are obtained by the segmentation processing on the lane group, is sequentially generated.

Abstract: The present disclosure provides a data search system and a data search method for determining whether there is stored information data matched with query information data in a storage circuit. The data search system comprises a storage circuit, a control circuit, and a feature extraction circuit, wherein the storage circuit comprises at least one storage unit which comprises a memristor crossbar array, a read/write unit, a decoder and a multiplexer, and the feature extraction circuit is configured to extract feature values of the query data. In the data search method, both the data matching process and the data storage process are performed in the memristor crossbar array under the control of the control circuit, which thus largely reduces the amount of data transmission while greatly improving the speed of data search using the characteristics of parallel calculation of the memristor crossbar array.

Abstract: The present disclosure relates to the field of semiconductor integrated circuits and manufacturing technologies thereof, and discloses a method and device for realizing a convolution operation based on an NOR flash storage structure. The NOR flash array has a structure of an array composed of a plurality of NOR flash cells. The convolution operation method includes: storing elements of a convolution kernel matrix into the NOR flash cells; converting elements of an input matrix into voltages and applying the voltages to gate terminals of the NOR flash cells; applying a driving voltage to source terminals of the NOR flash cells; and collecting, via drain terminals of the NOR flash cells, current values of each column to obtain a convolution operation result.