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40results about How to "Low hardware resource requirements" patented technology

Fault diagnosis method based on adaptive manifold embedding dynamic distribution alignment

The invention discloses a fault diagnosis method based on adaptive manifold embedding dynamic distribution alignment. According to the method, the feature distortion of data in an original Euclidean space can be effectively avoided through the automatic calculation of the optimal subspace dimension and the calculation of the streaming kernel of a geodesic line and converted manifold feature representations; a similarity measure A-distance is introduced to define a self-adaptive factor; relative weights of condition distribution and edge distribution of sample data are dynamically adjusted, andtherefore, the distribution difference of source domain and target domain samples can be effectively reduced, the accuracy and effectiveness of rolling bearing fault diagnosis under variable workingconditions can be greatly improved. The method is high in interpretability, is lower in requirements for computer hardware resources, is higher in execution speed, and is excellent in diagnosis precision, algorithm convergence and parameter robustness. The method is especially suitable for multi-scene and multi-fault bearing fault diagnosis under variable working conditions, and can be widely applied to fault diagnosis tasks of complex systems such as machinery, electric power, chemical engineering and aviation under variable working conditions.
Owner:SUZHOU UNIV

GNSS (Global Navigation Satellite System) signal capturing method and device and computer storage medium

The invention provides a GNSS (Global Navigation Satellite System) signal capturing method and device, and the method comprises the steps: carrying out the 1/N-time code rate sampling of a spreading code, compressing the length of the spreading code into L, controlling the length of each segment to be L when the satellite data is segmented, and carrying out the frequency mixing with a local carrier wave, thereby obtaining zero-frequency data; searching a satellite data NH code phase, stripping an NH code from each segment of data, and performing coherent integration to obtain a compressed satellite signal with two spread spectrum period lengths; respectively carrying out FFT operation, complex number multiplication and IFFT operation on the processed spreading code and satellite data to obtain a cyclic correlation result; solving a modulus of the result and searching a maximum value, if the maximum value exceeds a preset first threshold, judging that coarse capture is successful, and calculating a satellite signal code phase, a Doppler value and an NH code phase; code phase accurate search is carried out at a 1/2 chip interval in left and right N/2 ranges by taking a roughly captured satellite signal code phase as a center. The method is low in hardware resource consumption, and the capture signal-to-noise ratio and the capture code phase precision can be improved.
Owner:西安开阳微电子有限公司

Vehicle detecting and grading method, system and equipment for automotive intelligent headlamp

The invention discloses a vehicle detecting and grading method, system and equipment for an automotive intelligent headlamp. The system comprises a vehicle and a target vehicle, wherein the vehicle comprises a vehicle body controller, a vehicle body electronic stabilizing system, an engine electronic fuel injection system, an intelligent headlamp controller, a lamp and vehicle-mounted short-range communication controllers; each controller exchanges data through a CAN bus, and the lamp is connected with the vehicle body controller and the intelligent headlamp controller; the target vehicle comprises a vehicle body controller, a vehicle body electronic stabilizing system, an engine electronic fuel injection system and vehicle-mounted short-range communication controllers; and each controller exchanges data through a CAN bus. The system can be applied to scenes with relatively poor sights, can be utilized for simultaneously detecting information of multiple target vehicles, and is applicable to the detection and grading under complex road conditions; and furthermore, the processing is relatively easy, the information handling capacity is low, algorithms are simple, and requirements on hardware resources of an MCU are reduced.
Owner:CHONGQING CHANGAN AUTOMOBILE CO LTD

Object recommendation system, method and device, electronic equipment and storage medium

The invention relates to an object recommendation system, method and device, electronic equipment and a storage medium, and belongs to the technical field of the Internet. In the system, a plurality of storage devices are used for storing sparse features of accounts and embedded parameters corresponding to the sparse features of the accounts, wherein the sparse feature of each account is generatedaccording to the operation behavior data of the account, and the embedded parameters are learned by the prediction model in advance; the reasoning server is used for obtaining the sparse features ofthe target account from the storage device corresponding to the target account when determining that the condition of recommending the object to any target account is met, determining the storage device corresponding to the sparse features according to a preset storage mode of the embedded parameters, reading the embedded parameters corresponding to the sparse features from the determined storagedevice, and determining the recommendation object of the target account by using the embedding parameters corresponding to the sparse features and the stored network parameters of the prediction model, wherein the network parameters are parameters, except the embedding parameters, learned by the prediction model.
Owner:BEIJING DAJIA INTERNET INFORMATION TECH CO LTD

Vehicle detection and classification method and system for automobile intelligent headlights

The invention discloses a vehicle detecting and grading method, system and equipment for an automotive intelligent headlamp. The system comprises a vehicle and a target vehicle, wherein the vehicle comprises a vehicle body controller, a vehicle body electronic stabilizing system, an engine electronic fuel injection system, an intelligent headlamp controller, a lamp and vehicle-mounted short-range communication controllers; each controller exchanges data through a CAN bus, and the lamp is connected with the vehicle body controller and the intelligent headlamp controller; the target vehicle comprises a vehicle body controller, a vehicle body electronic stabilizing system, an engine electronic fuel injection system and vehicle-mounted short-range communication controllers; and each controller exchanges data through a CAN bus. The system can be applied to scenes with relatively poor sights, can be utilized for simultaneously detecting information of multiple target vehicles, and is applicable to the detection and grading under complex road conditions; and furthermore, the processing is relatively easy, the information handling capacity is low, algorithms are simple, and requirements on hardware resources of an MCU are reduced.
Owner:CHONGQING CHANGAN AUTOMOBILE CO LTD

An object recommendation system, method, apparatus, electronic device and storage medium

The present disclosure relates to an object recommendation system, method, device, electronic equipment, and storage medium, and belongs to the field of Internet technology. In the system, multiple storage devices are used to store the sparse features of each account and the embedding data corresponding to the sparse features of each account. parameters, where the sparse features of each account are generated based on the account’s operational behavior data, and the embedding parameters are pre-learned by the prediction model; the reasoning server is used to determine when the conditions for recommending objects to any target account are satisfied, Obtain the sparse features of the target account from the storage device corresponding to the target account, determine the storage device corresponding to the sparse feature according to the preset storage method of the embedded parameters, read the embedded parameters corresponding to the sparse feature from the determined storage device, and then use each sparse The embedding parameters corresponding to the features and the stored network parameters of the prediction model are used to determine the recommendation object of the target account, wherein the network parameters are parameters learned by the prediction model other than the embedding parameters.
Owner:BEIJING DAJIA INTERNET INFORMATION TECH CO LTD

Geographic Tracking Method Based on Coincidence of Optical Axis and Inertial Axis

The invention discloses an optic axis and inertia axis superposition-based geographic tracking method which comprises the steps of computing the space pose of a carrier aiming line in real time by using a space two-point geometric algorithm according to the positioning data and the self position information of a target, computing the space angle of the aiming line relative to a carrier coordinate system by being combined with the carrier space pose and the space coordinate transformation principle, sending the angle to a servo control unit, and adjusting corresponding space pose of a turntable by the servo control unit so as to complete the geographic tracking to the target. The method is different from the image tracking method in terms of theory, therefore, the method is not influenced by the cloud, the mist and the obstacles; and when being used on aircrafts, the method is capable of avoiding the problem of losing the target due to strenuous vibration or sight shielding, so that the scouting and searching capabilities of the battlefield weapon systems are remarkably improved. The method can also be used for guide devices of various guided missiles, so as to improve the accurate attacking capability to ground targets.
Owner:中国兵器工业第二0五研究所
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