9results about How to "Strong computing power" patented technology

The application relates to a CAD drawing sharing and discussing system, which comprises a first terminal, one or more second terminals, a first CAD drawing sharing module and a first instant messaging module in the first terminal, a second CAD drawing sharing module and a second instant messaging module in each of the one or more second terminals, the first CAD drawing sharing module and the second CAD drawing sharing module transmitting and sharing CAD drawings with each other, and the first instant messaging module and the second instant messaging module transmitting instant messaging information with each other. In the application, each terminal can look at the CAD drawing while instant messaging, so that each party of CAD cooperation can view the CAD drawing at any time during the communication and discussion, which is convenient and fast.

The application provides a press operation information and operation and maintenance service edge computing system and method, which is independent of a press control PLC, comprises a dual-core edge computing controller, a data acquisition module, a communication module and sensors deployed on the press, has press information acquisition and data processing, fault diagnosis, motion pair temperature and friction block life analysis and prediction, remote data management and other functions, interacts with the main control PLC in real time to exchange press information data, and uploads the data information of the press to a cloud platform to provide support for remote service of the press. The application can obtain more press state information, effectively overcomes insufficient data analysis and processing capacity of the press main control PLC, and moves the detection sensors to the edge side, shortens the main control PLC scanning cycle, realizes real-time sensing and rapid response to the press operation information state, avoids overload, overheating, excessive wear and brake failure, and improves the safety, reliability and intelligent level of the press.

The utility model discloses a desktop computer mainboard on-board BGA central processing unit DDR6 memory structure, which belongs to the technical field of desktop computer mainboard structures, and comprises a mainboard, an on-board BGA central processing unit is arranged in the middle of the upper end of the upper surface of the mainboard, a heat conduction plate is arranged above the on-board BGA central processing unit, and the heat conduction plate is connected with the mainboard. The mainboard comprises an onboard BGA central processing unit, a DDR6 memory slot is formed in one side of the onboard BGA central processing unit, a 24PIN power supply interface is formed in one side of the DDR6 memory slot, a plurality of vertically-arranged SATA interfaces are formed below the 24PIN power supply interface, and a startup jumper needle port and a Type-C needle port are sequentially formed in the lower edge position of the upper surface of the mainboard from right to left. The CPU of the mainboard is integrally packaged by adopting the BGA, and meanwhile, a special DDR6 slot is designed to be matched with a relevant IO interface and a mainboard needle port, so that the mainboard has better transmission rate, higher stability, lower power consumption and larger capacity, can meet the requirement of a current computer for large throughput data volume of AI large model operation, and is externally connected with a plurality of electronic devices.

The present disclosure provides a living body detection method and system, and relates to the technical field of data processing. The living body detection method provided by the present disclosure comprises: obtaining an initial feature vector graph of a target image; performing N times of vector grouping and aggregation on the L vectors based on a living body detection model to obtain N vector grouping results, and inputting the N vector grouping results into an attention submodule of the living body detection model to output a first feature vector graph; performing M times of grouped full connection on the first feature vector graph based on the living body detection model and a feature dimension D to obtain a grouped full connection result; and determining a living body classification result of the target image based on the living body detection model and the grouped full connection result. The living body detection method provided by the present disclosure can balance the recognition accuracy and recognition efficiency of living body detection.

The present application relates to a kind of tool measuring method and system based on UG / NX software, based on UG / NX software, comprising: the tool model created after using reverse scanning device to scan cutting tool is obtained;Obtain the key features of the cutting tool set;Obtain the key parameters of the cutting tool set;Based on the tool model, key features and key parameters, using static installation size automatic measurement algorithm and / or static non-installation size automatic measurement algorithm, the automatic measurement calculation of static installation geometric dimension and / or static non-installation geometric dimension of cutting tool is carried out on the tool model;Output the measurement data calculated by static installation size automatic measurement algorithm and / or static non-installation size automatic measurement algorithm.The present application combines reverse scanning and UG / NX software, can greatly improve the measurement accuracy and measurement efficiency of tool, improve product quality, bring more economic benefits for enterprise.

The utility model relates to a kind of DTU edge gateway equipment, belong to communication equipment technical field, including central processing circuit, USB interface circuit, ethernet communication circuit, RS485 communication circuit, CAN communication circuit, input-output circuit and the power supply circuit for the power supply of entire equipment, central processing circuit includes gateway chip U1 and the peripheral subcircuit connected to gateway chip U1, USB interface circuit, ethernet communication circuit, RS485 communication circuit, CAN communication circuit and input-output circuit are all with gateway chip U1 communication connection.The utility model integrates USB interface circuit, ethernet communication circuit, RS485 communication circuit and CAN communication circuit, can simultaneously support multiple communication protocols, such as USB, ethernet, RS485 and CAN etc.;Greatly improve the data interaction efficiency and the interconnection intercommunication ability between equipment.

The application discloses a reconfigurable target detection coprocessor and method based on RISC-V, relates to the technical field of embedded artificial intelligence and computer architecture, and is connected with a RISC-V main processor and a system on chip (SoC) memory, wherein the reconfigurable target detection coprocessor based on RISC-V, the RISC-V main processor and the SoC memory are integrated in a system on chip (SoC) chip; the application generates hardware configuration information through the RISC-V main processor, combines a dynamically reconfigured programmable data exchange network, realizes software definition of a hardware data path, enables a single hardware platform to efficiently accelerate support for multiple target detection algorithms with different structures, and improves flexibility and versatility of multi-target detection; and the data path dynamically reconfigured by the control unit ensures close coupling between basic computing units, eliminates idle resources caused by data flow mismatch in a fixed architecture, and significantly improves utilization of the basic computing units.

The application provides a method for ensuring data privacy and verifiable calculation results of a nonlinear GELU function. The method ensures the transparency of the calculation process by committing the local model parameters and private data on the server side. After the client-side encrypts the local private data, it is sent to the server for GELU operation to ensure the security of the data during transmission. The client verifies the validity of the server commitment to ensure the reliability of the server data processing. After receiving the GELU operation result, the client decrypts it and verifies the validity of the nonlinear function GELU operation result and the prediction result. The cloud server of the application provides powerful storage and computing capacity to support large-scale model inference services. The client is responsible for encrypting local data and sending data to the cloud server for inference and prediction. Through this method, user data privacy can be effectively protected, and the correctness and verifiability of the calculation results can be ensured.

This disclosure provides an image correction method, apparatus, electronic device, and program product. The method includes: preloading multiple pre-stored dark current noise models corresponding to different line frequencies; acquiring the real-time line frequency of the camera during the current image acquisition process; searching for a corresponding target dark current noise model from the pre-loaded multiple dark current noise models based on the real-time line frequency; and performing image correction based on the image data acquired by the camera and the target dark current noise model to obtain corrected image data. This disclosure solves the technical problems of high storage pressure, high response latency, and limited parameter coverage caused by the correction data being built into the camera in related technologies, achieving high-precision, fast-response real-time dark current correction in high-speed dynamic imaging scenarios.