Abstract: An absolute gravimeter and a measurement method based on vacuum optical tweezers. The micro-nano particle releasing device is equipped with micro-nano particles, and is located above laser optical tweezers, and the laser optical tweezers have two capturing beams which pass through the respective convergent lenses and then converge at an intersection. An area where the intersection is located serves as an optical trap capturing region, and the micro-nano particles are stably captured by the two capturing beams in the optical trap capturing region. The optical interferometer is electrically connected to the signal processing device, the optical interferometer measures a displacement of the micro-nano particles in real time at the beginning of a free fall process from the optical trap capturing region and sends the displacement signal to the signal processing device. The signal processing device obtains a measured value of an absolute gravitational acceleration.

Abstract: A data storage system includes: a server, a client and a control end; the control end is configured to generate a configuration file, and send the configuration file to the client and the server; the client is configured to generate an encapsulation rule based on the configuration file, generate a storage request, perform encapsulation on the storage request to obtain a message packet, and send the message packet to the server; the server is configured to generate an extraction unit and an action unit based on the configuration file, analyze the message packet to obtain the target information, write the target information into each extraction unit, read action information and determine an action unit matching the action information as a target action unit, and execute the storage actions corresponding to the target action unit to store byte stream data of the target information.

Abstract: A data storage system includes: a server, a client and a control end; the control end is configured to generate a configuration file, and send the configuration file to the client and the server; the client is configured to generate an encapsulation rule based on the configuration file, generate a storage request, perform encapsulation on the storage request to obtain a message packet, and send the message packet to the server; the server is configured to generate an extraction unit and an action unit based on the configuration file, analyze the message packet to obtain the target information, write the target information into each extraction unit, read action information and determine an action unit matching the action information as a target action unit, and execute the storage actions corresponding to the target action unit to store byte stream data of the target information.

Abstract: A method, a unit and circuits for implementing Boolean logics based on computing-in-memory transistors. The method is implemented by using the characteristics and the read-write mode of the computing-in-memory transistor; the basic unit consists of a computing-in-memory transistor and a pull resistor; the pull resistor in the basic unit is connected in series with the transistor, and the gate of the transistor is independent; the basic units can implement sixteen Boolean logic operations through different circuit structures and voltage configuration schemes. Compared with the logic circuit structure of the conventional CMOS transistors, the present disclosure can implement more logic operations with fewer transistors, which greatly optimizes circuit density and computing speed caused by data transmission between storage units and process units.

Abstract: Disclosed is a page multiplexing method, a page multiplexing device, a storage medium and an electronic apparatus. After obtaining the page frame information of pages to be configured in a client to be developed, a component relational tree corresponding to the plurality of pages can be determined. The component relational tree is compared with a pre-constructed reference relational tree to determine a target tree structure composed of target components from the reference relational tree. Dependencies between target components in the reference relational tree match those in the component relational tree. The component code of the target component used by the developed client is queried to multiplex the component code. The component relational tree corresponding to pages to be developed can be compared with the reference relational tree corresponding to each page included in the developed client to determine the component code that can be multiplexed.

Abstract: A method and an apparatus for cross-media corresponding knowledge generation.

Abstract: The present disclosure belongs to an identity authentication technology in network security field, and relates to a lightweight identity authentication method. The method utilizes lightweight operations of the physical unclonable function, Hash operation, XOR operation, etc.

Abstract: Provided in the present invention is a method for intelligent identification of rice growth potential based on unmanned aerial vehicle (UAV) monitoring, the method including the following steps: obtaining rice plot images, labeling the images, establishing a deep convolutional neural network detection model, using the labeled rice plot images to optimize and train the model, inputting the rice plot images to be measured into the trained model, and detecting a location of a rice plot target frame in each image; selecting a target frame with the largest area in each rice plot image, and pre-processing a rice plot image in the target frame; and calculating a vegetation coverage rate of the pre-processed rice plot image, and determining a level of rice growth potential according to the vegetation coverage rate. Also provided in the present invention is a system for intelligent identification of rice growth potential based on unmanned aerial vehicle (UAV) monitoring.

Abstract: Disclosed is a multi-dimensional optical tweezers calibration device based on electric field quantity calibration and a method thereof. The polarization-dependent characteristics of a tightly focused optical trap are utilized to realize triaxial electric field force calibration of particles through a one-dimensional electric field quantity calibration device. The method of the present application enables a particle electric field force calibration system to be compatible with particle delivery and particle detection systems; the device is simplified and calibration complexity is reduced.

Abstract: A method and an apparatus for direct writing photoetching by parallel interpenetrating super-resolution high-speed laser. The method of the present application uses a parallel interpenetrating algorithm. Firstly, a multi-beam solid light spot for writing is generated based on a writing light spatial light modulator; a multi-beam hollow light spot for inhibition is generated based on an inhibition optical spatial light modulator; the multi-beam solid light spot is combined with the multi-beam hollow light spot to generate a modulated multi-beam light spot; a writing waveform is output based on a multichannel acousto-optic modulator, a displacement stage moves at a constant speed until writing of a whole column of areas is completed, an optical switch is turned off, and the displacement stage conducts one-time stepping movement; the process is not stopped until all patterns are written.

Abstract: The present disclosure discloses a brain atlas individualization method and system based on magnetic resonance and a twin graph neural network. Firstly, a feature is extracted from resting-state functional magnetic resonance imaging (rs-fMRI) by utilizing functional connectivity based on a region-of-interest, and at the same time, Fisher transformation and exponential transformation are performed on the feature; secondly, a corresponding adjacent matrix is extracted from T1-weighted magnetic resonance data in a data set; and then the twin graph neural network is designed for training and testing with the transformed feature and the adjacent matrix as inputs and a group atlas label and a sampling mask as outputs.

Abstract: The present disclosure discloses a medical ETL task dispatching method, system and apparatus based on multiple centers. The method includes following steps: step S1: testing and verifying ETL tasks; step S2: deploying the ETL tasks to a hospital center, and dispatching the ETL tasks to a plurality of executors for execution; step S3: screening an executor set meeting resource demands of ETL tasks to be dispatched; step S4: calculating a current task load of each executor in the executor set; step S5: selecting the executor with a minimum current task load to execute the ETL tasks; and step S6: selecting, by the dispatching machine, the ETL tasks from executor active queues according to a priority for execution. The present disclosure selects the most suitable executor by analyzing a serving index as a task to be dispatched on a current dispatching machine.

Abstract: Disclosed is a three-dimensional low-dose PET reconstruction method based on deep learning. The method comprises the following steps: back projecting low-dose PET raw data to the image domain to maintain enough information from the raw data; selecting an appropriate three-dimensional deep neural network structure to fit the mapping between the back projection of the low-dose PET and a standard-dose PET image; after learning from the training samples the network parameters are fixed, realizing three-dimensional PET image reconstruction starting from low-dose PET raw data, thereby obtaining a low-dose PET reconstructed image which has a lower noise and a higher resolution compared with the traditional reconstruction algorithm and image domain noise reduction processing.

Abstract: The present disclosure discloses an autonomous vehicle remote control apparatus and a method based on heterogeneous networks. The apparatus comprises a vehicle information acquisition module, a first message sending module, a first message receiving module and a first remote control module. According to the present disclosure, the possibility of failure of remote control is avoided or greatly reduced by bypassing the area where the network quality does not support remote control when planning a vehicle path, heterogeneous network resources are reasonably utilized on the vehicle driving path, the real-time performance of obtaining vehicle-related information by a remote control terminal is improved, and the availability and reliability of remote control and the safety of vehicle driving are effectively enhanced.

Abstract: The present application discloses a method and a system for analyzing and predicting a vehicle stay behavior based on multi-task learning, and the method includes the following steps: acquiring vehicle GPS and OBD data including a vehicle ID, a travel start time, a start longitude, a start latitude, an end time, an end longitude, and an end latitude after desensitization; preprocessing vehicle GPS and OBD data to obtain vehicle stay behavior data including stay location and stay duration; extract a spatial-temporal characteristic of the preprocessed vehicle stay behavior data by a deep recurrent neural network; inputting the spatial-temporal characteristic into a multi-task learning and predicting network, and obtaining the correlation between a stay location prediction task and the stay duration prediction task based on the historical stay behavior of the vehicle through the multi-task learning and predicting network to predict the stay location and stay duration.

Abstract: A data classification method and apparatus, a device and a storage medium. A structural feature of the respective node in graph data may be determined according to a neighbor node of the respective node in the graph data through a deviation between the decoded feature obtained by decoding the embedded coding feature of the respective node in the graph data and the initial feature of the respective node, and then the embedded coding feature corresponding to the respective node is adjusted according to the decoded feature of the respective node and the structural feature of the respective node in the graph data to obtain the adjusted feature corresponding to the respective node, so that accuracy of an obtained feature of the respective node is improved, and thus accuracy of data classification may be improved.

Abstract: A traffic alarm method and apparatus based on a programmable switch, a device and a medium. The method monitors traffic with different priorities, when the traffic is greater than or equal to a threshold, the programmable switch may give a real-time alarm on a data plane and return low priority traffic information in a current network back to a sending end, and the sending end may adjust a task priority through alarm information. The present disclosure uses a programmable switch device, the lower priority traffic information may be alarmed to the sending end in real time on the data plane without passing through a controller, an alarm delay is significantly reduced, the sending end may adjust a sending rate timely, real-time scheduling of network traffic is achieved, high priority traffic transmission is ensured, and meanwhile link utilization is improved.

Abstract: The present disclosure provides a data processing system and a data processing method. The system includes: a client interaction module, a subscribing and publishing module, a storage module, and a sub-database management module. The client interaction module is configured to: receive an interaction request sent by a client, analyze the interaction request to obtain an analyzing result, and based on the analyzing result, determine a process type to be started and start a response process of the process type, and repackage the interaction request and send the repackaged interaction request to the response process, where the process type includes a first process type corresponding to the subscribing and publishing module, a second process type corresponding to the storage module and a third process type corresponding to the sub-database management module.

Abstract: A system on wafer assembly structure and an assembly method thereof. The system on wafer assembly structure comprises: a wafer layer, a dielectric layer and a circuit board layer sequentially stacked, and each provided with a bonding region, a testing region and an alignment region, respectively, a first assembly, and a second assembly, wherein the first assembly is arranged on one side of the wafer layer far away from the dielectric layer, and comprises a bearing portion and at least one latch portion connected with each other, and the bearing portion is detachably connected with the wafer layer. The second assembly is at least partially arranged around the first assembly. The second assembly has a hole portion for accommodating a latch portion, and the inner diameter of the hole portion is larger than the outer diameter of the latch portion.

Abstract: A meta fluorescence tissue mimicking phantom of imaging method and system. The system includes a fluorescence acquisition module configured to acquire spectral information, contrast information and light intensity information of fluorescence molecules in biological tissue, store the spectral information, the contrast information and the light intensity information in a computer, and transmit the spectral information, the contrast information and the light intensity information to a fluorescence reproduction module through a computer communication port; a fluorescence reproduction module configured to generate a fluorescence tissue mimicking phantom according to the spectral information, the contrast information and the light intensity information; and a meta fluorescence tissue-mimicking phantom imaging module configured to perform imaging on the fluorescence tissue mimicking phantom.