10results about How to "With technical effect" patented technology

This invention belongs to the field of time measurement technology and discloses a resource-saving short-chain time-to-digital converter and its conversion method. It utilizes a delay unit and conversion circuit to build a local oscillator, which flips the output state at fixed time intervals during a continuous high-level input signal. The time at which the local oscillator causes the level to flip is known. The time of the last flip is obtained using TDL and TDC, and the start and last flip times are obtained by recording the number of flips of the local oscillator. The resource-saving short-chain time-to-digital converter provided by this invention has good linearity, completely avoiding nonlinearity problems caused by inconsistent line lengths introduced across multiple resource blocks. The resource-saving short-chain time-to-digital converter has a simple and flexible structure, low resource consumption, and high utilization rate. It has good robustness and can be directly ported between different channels or even devices, and can correct temperature-induced drift online.

The application provides a rotatable side outlet sensor and a train running part fault monitoring system, and relates to the technical field of train running part fault monitoring. The sensor comprises a base shell, a sensor body, an outlet structure and an elastic device. The sensor body is rotatably arranged relative to the base shell, and comprises a sensor shell, a circuit board arranged in the sensor shell, and a vibration sensitive device mounted on the circuit board. The outlet structure is mounted on the side wall of the sensor body through a jack. The elastic device is arranged in compression along the axial direction between the base shell and the sensor shell. Under the pre-tightening force of the elastic device, the base shell and the sensor shell are in axial close contact to form a vibration signal transmission interface, so that the vibration signal can be effectively transmitted from the equipment to be measured to the vibration sensitive device through the base shell and the sensor shell, thereby realizing effective monitoring of the vibration signal. The sensor realizes effective monitoring of the vibration signal while maintaining the rotatability of the outlet direction.

The invention discloses a light-emitting device and a preparation method thereof, a light-emitting module and a display device.The light-emitting device comprises a conductive connecting layer and N light-emitting units arranged at intervals, N is a positive integer and is larger than or equal to 2, N is an even number, and the adjacent light-emitting units are connected in series through the conductive connecting layer; the N light-emitting units comprise N / 2 odd-number light-emitting units and N / 2 even-number light-emitting units, the odd-number light-emitting units and the even-number light-emitting units are alternately arranged in the series connection direction, and a second semiconductor layer, an active layer and a first semiconductor layer are sequentially stacked on each odd-number light-emitting unit from the light-emitting face to the back face; a first semiconductor layer, an active layer and a second semiconductor layer are sequentially stacked on the even-number light-emitting unit from the light-emitting face to the back face. The light-emitting device is high in voltage and low in current, the size of the light-emitting device can be further reduced, and the light-emitting efficiency is improved.

The application belongs to the technical field of signal transmission, and discloses a method for eliminating analog signal transmission error through digital compensation, which specifically comprises the following steps: in addition to the original signal transmitting circuit part, a signal detecting part composed of MCU, ADC and a communication module is arranged at the signal transmitting end; a signal detecting part composed of MCU and ADC communication module and a control part capable of controlling the signal at the output end to be offset and gain varied are arranged at the signal receiving end; the signal at the receiving end is collected by the MCU to compare with the data of the transmitting end communication module, and the difference between the two data is calculated to obtain the correction value of the amplitude and offset; the gain and offset of the signal are changed by controlling the offset and gain circuit part at the receiving end, so that the transmission error is eliminated, and the gain and offset control method is realized by using DAC, PGA and other components; the deviation of the frequency response can also be calculated according to the requirement, and is corrected by the gain and offset control circuit part.

The application belongs to the technical field of spaceflight, and discloses a satellite electromagnetic permanent magnet integrated connection separation and recovery device and a control method thereof. The satellite electromagnetic permanent magnet integrated connection separation and recovery device is provided with a curved surface permanent magnet interface on a micro-nano satellite. The curved surface permanent magnet interface is connected with a curved surface electromagnetic interface. The curved surface electromagnetic interface is arranged on a satellite ring. The application improves the carrying capacity of spaceflight equipment. The satellite ring can provide multiple micro-nano satellite connection separation and recovery interfaces, and can simultaneously release, separate and dock and recover multiple micro-nano satellites. The satellite ring is composed of a circular ring. The surface of the circular ring is provided with electromagnetic connection separation and recovery interfaces. The micro-nano satellite connection and recovery docking are realized by the butt joint of the micro-nano satellite curved surface permanent magnet interface and the curved surface electromagnetic interface. The locking of the connection interface is realized by adopting a bag belt fixing mode during the execution of a launch task.

This invention belongs to the field of artificial intelligence algorithm technology and discloses an intelligent transfer adversarial method and system for electromagnetic signal recognition under incomplete information. First, multiple models of alternative target networks with incomplete information are constructed in parallel, and these alternative models are trained using an evolutionary strategy based on a prior knowledge matrix. Then, an ensemble network model is generated based on the trained alternative models, and a fully connected layer and a layer with feature-level weighted fusion are designed. Finally, an optimized adversarial method for electromagnetic spatial signal recognition tasks is designed, generating adversarial samples under the ensemble model, and transferring these adversarial samples to the target network to achieve adversarial capabilities against the target network. This invention can effectively achieve adversarial capabilities against the target network when the target network information is unknown, and it still exhibits good transfer adversarial performance under the same signal recognition task and different unknown target network conditions.

The application belongs to the technical field of transformers, and discloses a linear phase-shifting transformer core loss calculation method, system, device and terminal, which is based on a classical trinomial loss separation model, three loss coefficients are calculated by using a least square method; the influence of local hysteresis loop, magnetic field non-sine, tooth slot effect and skin effect on the loss model and the loss coefficient is analyzed, the static magnetic density characteristics of the linear phase-shifting transformer are obtained based on finite element simulation calculation; the tangential magnetic density and the radial magnetic density of each characteristic point are separated, and Fourier analysis is carried out, the fundamental wave magnetic density and each harmonic magnetic density are substituted into the improved loss separation model. The core loss of the linear phase-shifting transformer in the stable operation state can be accurately calculated, the calculation precision is greatly improved, which can provide a reference for the efficient operation of the transformer, and has important significance for the optimization design of the linear phase-shifting transformer body and the realization of the minimum loss control of the multiple superposition inverter system of the linear phase-shifting transformer.

This utility model provides a side roof panel mounting structure integrating lighting and LCD, and a rail transit vehicle. The side roof panel mounting structure includes a split side roof panel body, which includes a first side roof panel, a second side roof panel, and a hinge. The first side roof panel is used to connect with the interior frame. The first side roof panel is provided with a drawer-type profile body. The front of the drawer-type profile body is provided with a first continuous guide rail and a second continuous guide rail. The lighting device and the LCD screen are respectively installed between the first continuous guide rail and the second continuous guide rail according to a preset arrangement along the length of the vehicle body. One side of the second side roof panel is connected to the side wall of the vehicle body, and the other side is hinged to the first side roof panel. One end of the hinge is connected to the first side roof panel, and the other end is connected to the second side roof panel.

The application belongs to the field of computer vision, and discloses a weakly supervised semantic segmentation method, system, device and medium based on random combination, which comprises the following steps: training classification networks N1, N2 and N3 respectively by using a training data set, a slice training data set and a slice training data set randomly combined, so that each network can extract different active regions in the picture, and the learning results of the other two networks are learned by using the mutual supervision training mode; finally, the prediction results of the three networks are combined to obtain the final semantic segmentation result, which is used as a semantic segmentation training data set to train a semantic segmentation model to predict the final semantic segmentation result. The application effectively utilizes the different perception areas of the network for the randomly combined slice pictures, and utilizes the different classification networks to perceive the categories of the same picture, thereby improving the semantic segmentation ability and prediction accuracy of the semantic segmentation model through the semantic segmentation data set obtained by combining the results of the three classification networks.

The application belongs to the technical field of natural language processing, and discloses a federated learning optimization method and system for entity extraction, a device and a terminal. In the shared data meta information transmission stage, the server sends a shared data request to each selected client participating in federated learning, each client calculates shared data set meta information, and uploads the meta information to the server. In the approximate IID entity annotation data construction stage, the server constructs an approximate IID entity annotation data index set according to the meta information uploaded by the client, and requests the corresponding client for data corresponding to the index set. In the model training stage, the server is regarded as a client participating in federated learning training, and the approximate IID entity annotation data set is used for model training to obtain an approximate centralized model W IID The application reduces the difference between the model parameter spaces of the clients, improves the accuracy and convergence speed of the global model, and reduces the training communication cost.