Abstract: A mosaic distributed combined interval magnetization method includes: arranging a magnetization module including magnetic sources disposed at both ends of a yoke and having opposite magnetic properties; arranging a magnetic sensor disposed between the two magnetic sources, where the magnetic sensor is used to detect changes in a direction of a magnetic field of the test piece under detection; wrapping the yoke and the magnetic source to form a non-metallic wrapped structure of a detection component, where the magnetization module is divided into a first magnetization module and a second magnetization module which is symmetrically disposed about a center of the first magnetization module. The method solves the problem of inaccurate detection signals caused by defect diversity, thereby ensuring that defect classification and defect quantification will not occur during subsequent data analysis, which otherwise leads to problems such as unclear defect classification and inaccurate defect quantification.

Abstract: A pipeline in-line inspection tool based on distributed magnetic uniformity sensing includes a mobile carrier and a probe inspection assembly. The mobile carrier moves in a pipeline, a plurality of probe inspection assemblies are arranged on an outer side of the mobile carrier, and the plurality of probe inspection assemblies are distributed in sequence along an axis of the mobile carrier. The probe inspection assembly includes a plurality of elastic inspection ends, and the plurality of elastic inspection ends are distributed and arranged around the axis of the mobile carrier. The elastic inspection end is provided with an excitation structure, an inspection component and a wear-resistant structure. During inspection, the elastic inspection end is in abutment with an inner wall of the pipeline, the pipeline is magnetized through the excitation structure, and pipeline defects in magnetized areas are detected through the inspection component.

Abstract: An in-memory computing processor, an in-memory computing processing system, an in-memory computing processing apparatus, and a deployment method of an algorithm model based on the in-memory computing processor are disclosed. The in-memory computing processor includes a first master control unit and a plurality of memristor processing modules, and the first master control unit is configured to be capable of dispatching and controlling the plurality of memristor processing modules, the plurality of memristor processing modules are configured to be capable of calculating under the dispatch and control of the first master control unit, and the plurality of memristor processing modules are further configured to be capable of communicating independently of the first master control unit to calculate.

Abstract: An eddy current testing circuit, method and system, a storage medium, and a terminal belong to the technical field of eddy current non-destructive testing. A dual-path differential probe is formed mainly by combining a differential bridge and a transformer conditioning circuit, and relationships between amplitudes, phase parameters and lift-off respectively generated under alternating magnetic fields are analyzed by using signal parameters generated by a first differential signal and a second differential signal under respective alternating magnetic fields. Multi-parameter signal fusion is performed, so that the lift-off can be suppressed, and dual-path differential output achieves a high testing capability for defects under high lift-off change.

Abstract: A neural network circuit is described that includes a first sample-and-hold circuit, a reference voltage generation circuit, a first comparator circuit, and a first output circuit. The first sample-and-hold circuit generates a first analog voltage based on a first output current output by a first neural network computation array. The reference voltage generation circuit generates a reference voltage based on a first control signal. The first comparator circuit is connected to the first sample-and-hold circuit and the reference voltage generation circuit, and outputs a first level signal based on the first analog voltage and the reference voltage. The first output circuit samples the first level signal based on a second control signal, and outputs a first computation result that meets the first computation precision.

Abstract: A rotary earhanger structure of a wireless earphone includes an earhanger unit and a movable connection sleeve rotationally connected therewith. One end of the earhanger unit includes a first inclined surface portion extending obliquely in a preset rotational direction. The movable connection sleeve has a second inclined surface portion cooperatively connected with the first inclined surface portion. The movable connection sleeve is connected with an elastic member for driving the movable connection sleeve in a direction close to the earhanger unit. The external force rotates the earhanger unit in the preset rotating direction to adjust the wearing angle. When the earhanger unit is not subjected to the external force, the movable connection sleeve moves in the direction close to the earhanger unit under the force of the elastic member, so that the automatic reset function after the earhanger rotation is realized, thereby simplifying user operation and improving user experience.

Abstract: This application discloses a semantic segmentation model training method and apparatus, and a semantic segmentation method and apparatus.

Abstract: A compressor and a heat exchange system are provided. The compressor has a sealed container and a liquid storage tank. An outlet end of the liquid storage tank is connected to an inlet end of the sealed container. An outlet end of the sealed container and an inlet end of the liquid storage tank are connected to an external heat exchange loop. A motor and a compression mechanism of the compressor are mounted in the sealed container. A first valve of the compressor is mounted at the outlet end of the sealed container and allows unidirectional communication from the sealed container to the external heat exchange loop. A second valve of the compressor is mounted at the inlet end of the liquid storage tank and allows unidirectional communication from the external heat exchange loop to the liquid storage tank.

Abstract: Embodiments of this application provide a target detection method and apparatus, and a storage medium. The method includes performing feature extraction on an input image, to obtain a plurality of layers of feature maps, where the feature map includes road surface feature information, and downsampling rates of the plurality of layers of feature maps are different. The method further includes performing merging on the plurality of layers of feature maps, to obtain a plurality of two-dimensional instance features respectively corresponding to the plurality of layers of feature maps. Furthermore, the method includes performing prediction based on the plurality of two-dimensional instance features, to obtain a road surface obstacle target in the input image. Target prediction is performed based on the feature map including the road surface feature information. Road surface context information is considered, so that accuracy of target detection can be improved.

Abstract: An eddy current testing circuit, method and system, a storage medium, and a terminal belong to the technical field of eddy current non-destructive testing. A dual-path differential probe is formed mainly by combining a differential bridge and a transformer conditioning circuit, and relationships between amplitudes, phase parameters and lift-off respectively generated under alternating magnetic fields are analyzed by using signal parameters generated by a first differential signal and a second differential signal under respective alternating magnetic fields. Multi-parameter signal fusion is performed, so that the lift-off can be suppressed, and dual-path differential output achieves a high testing capability for defects under high lift-off change.

Abstract: A method for manufacturing a liquid reservoir is disclosed. The method includes: preparing a barrel with an open upper end and an open lower end; press-fitting a partition plate into the barrel and welding the partition plate to the barrel by in-furnace brazing; arranging a valve core assembly in a predetermined position within the barrel and press-fitting a limit plate into the barrel to limit the valve core assembly; narrowing the upper end of the barrel to form an air inlet and narrowing the lower end of the barrel to form an air outlet; and coupling an air inlet tube to the air inlet and coupling an air outlet tube to the air outlet.

Abstract: A storage and computation integrated apparatus and a calibration method therefor. The storage and computation integrated apparatus includes a first processing unit, which includes: a first computation memristor array; a first calibration memristor array; and a first processing unit. The calibration method includes: determining, by means of off-chip training, a first computation weight matrix which corresponds to a first computation memristor array, and writing the first computation weight matrix into the first computation memristor array; and on the basis of the first computation memristor array where the first computation weight matrix has been written and the first computation weight matrix, performing on-chip training on a first calibration memristor array, so as to adjust a weight value of the first calibration memristor array.

Abstract: A data processing method based on a memristor array and an electronic apparatus are disclosed. The data processing method based on a memristor array includes: acquiring a plurality of first analog signals; setting the memristor array, and writing data corresponding to a convolution parameter matrix of a convolution processing into the memristor array; inputting the plurality of first analog signals respectively into a plurality of column signal input terminals of the memristor array that has been set, controlling operation of the memristor array to perform the convolution processing on the plurality of first analog signals, and obtaining a plurality of second analog signals after performing the convolution processing at a plurality of row signal output terminals of the memristor array, respectively.

Abstract: A computing apparatus and a robustness processing method thereof. The robustness processing method includes: based on model parameters of a target algorithm model, obtaining a mapping relationship between the model parameters and the first computing memristor array; based on an influence factor that determines a critical weight device, determining a way to obtain a weight criticality of the plurality of memristor devices from the influence factor; obtaining an input set of the algorithm model, and determining a criticality value for each of the plurality of memristor devices according to the way; determining a critical weight device among the plurality of memristor devices according to the criticality value for each of the plurality of memristor devices; and based on the critical weight device, performing an optimization processing on the first processing unit.

Abstract: At least one embodiment of the present disclosure provides a data processing method based on a memristor array and an electronic apparatus. The data processing method includes: acquiring a plurality of first analog signals; setting the memristor array, and writing data of a parameter matrix corresponding to the data processing into the memristor array; and inputting the plurality of first analog signals into a plurality of column signal input terminals of the set memristor array, respectively, controlling operation of the memristor array to perform the data processing on the plurality of first analog signals, and obtaining a plurality of second analog signals after performing the data processing at a plurality of row signal output terminals of the memristor array, respectively.

Abstract: This application discloses a conductive paste, a preparation method thereof. The conductive paste comprises: a thermoplastic polyurethane, conductive particles, and an organic solvent, the thermoplastic polyurethane and the conductive particles being proportionally mixed in the organic solvent, and the thermoplastic polyurethane being dispersed in the form of particles among the conductive particles. A thermoplastic polyurethane elastomer is used as a binder, and the conductive particles are mixed in the organic solvent containing the thermoplastic polyurethane elastomer. The conductive particles ensure the conductivity of the conductive film prepared using the conductive paste. The thermoplastic polyurethane has strong adhesion ability, and is suitable for use on the surface of most substrates, to form a conductive film with good adhesion and no cracking.

Abstract: A signal processing apparatus and a signal processing method are provided. The signal processing apparatus includes a memristor array, an input circuit, a first switching circuit, a second switching circuit, an output circuit, and a control circuit. The memristor array includes memristor units and is connected to source lines, word lines and bit lines. The control circuit is configured to control the first switching circuit to select at least one source line to apply at least one first signal to the at least one source line respectively, control the second switching circuit to select and activate at least one word line to apply the at least one first signal to a memristor unit corresponding to the at least one word line, and control the output circuit to output a plurality of second signals based on conductivity values of memristors of the memristor array.

Abstract: A neural network and its information processing method, information processing system. The neural network includes N layers of neuron layers connected to each other one by one, except for a first layer of neuron layer, each of the neurons of the other neuron layers includes m dendritic units and one hippocampal unit; the dendritic unit includes a resistance value graded device, the hippocampal unit includes a resistance value mutation device, and the m dendritic units can be provided with different threshold voltage or current, respectively; and the neurons on the nth layer neuron layer are connected to the m dendritic units of the neurons on the n+1th layer neuron layer; wherein N is an integer larger than 3, m is an integer larger than 1, n is an integer larger than 1 and less than N.

Abstract: The present invention discloses a pipeline defect detecting and positioning method based on multi-sensor information fusion, which belongs to the technical field of pipeline non-destructive testing. The method comprises the following steps of performing state segmentation processing on a pipeline according to a pipeline defect detection signal and/or a three-axis attitude signal of a pipeline detection equipment in the pipeline, positioning a pipeline defect signal in the pipeline defect detection signal to a pipeline section in a corresponding state, and calculating a position of the pipeline defect signal in pipeline section in each state according to a running speed, the three-axis attitude signal, and mileage information of the pipeline detection equipment in the pipeline section in the corresponding state. According to the invention, the pipeline is segmented so that the pipeline defect can be preliminarily positioned in the pipeline section in a certain state.