51results about How to "Reduce data collection time" patented technology

A system is provided for rapidly ascertaining the position of a pulse train emitter such as a radar using multiple collectors without requiring more than one platform to measure the same pulse. Thus time-of-arrival measurements at a number of collecting platforms are performed, with the positions of the platforms being accurately ascertainable using GPS data, and with time synchronization between the spaced-apart collectors performed by utilizing atomic clocks. In the multi-ship case, geolocation can be performed on ten milliseconds of data as opposed to 30 seconds of data for measurements involving a single platform. The subject system is preferable to conventional time-difference-of-arrival geolocation systems because those systems require that each of the collecting platforms measure the same pulse from the emitter, which severely constrains the flight paths of the collectors, limits the amount of usable data, and increases the system's sensitivity requirements.

The invention discloses an RCS extrapolation method based on near field MIMO imaging, belonging to the technical field of electronics. The building of a large anechoic chamber is not needed, and the testing cost is greatly saved. Compared with traditional RCS extrapolation technology, the near field MIMO imaging technology is used in the invention, a data acquisition time is significantly reduced, the testing speed is improved, and the application range is wider.

The invention relates to the field of integrated circuits, and provides a direction navigation method and device based on fingerprint recognition, and a fingerprint image sensor. The method comprisessteps of setting multiple navigation regions in a pixel region of the fingerprint sensor; scanning the navigation regions for many times successively, and correspondingly generating a group of navigation data for each scanning; according to each group of the navigation data, judging pressing states of each navigation region during each scanning; and according to change of the pressing states of the navigation region during the successive scanning, judging the navigation direction and executing navigation instructions. According to the invention, by setting the navigation regions in the sensor,and replacing the software with the hardware in a navigation data position reporting manner, the navigation direction is judged in an image comparison mode, so judgment of the navigation direction isachieved quite rapidly and precisely and precise calculation of finger sliding speed is achieved.

The invention relates to the technical field of electric cooker detection equipment, in particular to an intelligent detection device and a system for the energy efficiency of an electric cooker. Thedevice comprises a platform frame, the platform frame is provided with a placing plate used for horizontally placing the electric rice cooker, a cover body used for covering the electric rice cooker is arranged over the placing plate, and the cover body is movably arranged and moves up and down in the vertical direction; and a thermal resistance sensor for detecting the temperature of the inner container of the electric cooker is arranged at the bottom of the cover body. Meanwhile, the system is based on the device and comprises a controller, a temperature detection module, an electric quantity detection module and a weight detection module, and the temperature detection module, the electric quantity detection module and the weight detection module are electrically connected with the controller. The temperature detection module is controlled by the controller and used for detecting the temperature of water in an inner container of the electric cooker. The electric quantity detection module is controlled by the controller and comprises a current detection unit and a voltage detection unit which are respectively used for measuring the working current and the working voltage of the electric cooker; the weight detection module is controlled by the controller and used for measuring the weight of water in the electric cooker.

The invention discloses a method and system for wide view field micro-imaging based on FPM. The method comprises the following steps: arranging a plurality of LEDs as a plurality of concentric circles on an LED panel; acquiring a radius of each concentric circle in the plurality of concentric circles and confirming the quantity of arranged layers and the quantity of the LEDs in each layer; acquiring the arranging angles of the LEDs in each layer; iterating, thereby acquiring an optimal LED panel distribution structure; taking the optimal LED panel distribution structure as a light source; and acquiring an imaging result through a frequency domain laminating splicing microscope FPM system. According to the method, a circular LED array is introduced, so that the exposure times are reduced, the imaging efficiency is increased, and the method is simple and is easily realized.

The invention belongs to the technical field of robots and artificial intelligence, particularly relates to a quick imitation learning method, system and equipment for robot skill learning, and aims to solve the problems that teaching data collection of an existing robot is time-consuming and complex, and when a demonstrator provides suboptimal teaching, the robot cannot optimize the execution process, and the teaching efficiency is high. The operation efficiency of the robot is reduced, and the operation time is prolonged. The system method comprises the following steps: collecting original teaching data; in combination with a pre-trained evaluator, extracting key frame teaching data from the original teaching data set through a preset key frame extraction method; and based on the key frame teaching data, controlling the robot to reproduce teaching through the trained control strategy model. According to the method, the data collection process during robot imitation learning can be simplified, the teaching track is optimized based on the performance of the robot control strategy model, the data collection time and the robot operation time are shortened, the efficiency of robot imitation learning is effectively improved, and the operation time is shortened.

The invention discloses a cross-mode electroencephalogram signal identification method considering individual differences. Unifying an electroencephalogram signal data format into a 3D tensor structure, then dividing electroencephalogram signals into a data set, and inputting the electroencephalogram signals into classifiers formed by branch networks for training so as to respectively extract background features and task features; using the extracted background features to calculate the similarity between different subjects, and screening data in the data set to avoid model negative lifting caused by electroencephalogram signal data of which a difference degree is greater than a threshold value in a training process; finally, inputting the screened data set into a multi-branch network model for training. According to the method, features of different subjects can be better extracted while a small amount of new subject data is collected as much as possible, so that the performance of the model in cross-subject tasks is improved.

In a method of inspecting a structure, a first ultrasonic signal generated from a target structure by a first laser beam is received. The first ultrasonic signal is generated by providing the first laser beam generated from a first excitation unit to the target structure. A second ultrasonic signal generated from the target structure by a second laser beam different from the first laser beam is received. The second ultrasonic signal is generated by providing the second laser beam generated from a second excitation unit to the target structure. A third ultrasonic signal generated from the target structure by the first and second laser beams is received. The third ultrasonic signal is generated by simultaneously providing the first and second laser beams to the target structure. It is determined whether the target structure is damaged based on first, second and third ultrasonic frequency spectra that are obtained by converting the first, second and third ultrasonic signals, respectively.