6results about How to "No conflict" patented technology

The utility model discloses an anti-deviation metal forging die, which relates to the technical field of forging dies, and comprises an upper fixing plate and a lower fixing plate, the middle position of the bottom end of the upper fixing plate is fixedly connected with an upper die, and the middle position of the top end of the lower fixing plate is fixedly connected with a lower die. And a positioning assembly capable of stabilizing the blank and preventing the blank from deviating is arranged in the lower die. According to the anti-deviation metal forging die, through the arrangement of the pin rod groove, the positioning pin rod, the ejector rod groove, the ejector rod, the ejector block, the internal thread fixing cap, the electromagnet, the external wire and the wire groove, when the anti-deviation metal forging die is used, the electromagnet is electrified to generate magnetism to generate magnetic force to adsorb a blank, so that the blank is always located in the middle position, the die is not prone to deviation when closed, and the pin rod groove is matched with the positioning pin rod; the upper die and the lower die can be accurately folded, the function of positioning the blank to prevent rolling deviation is achieved, and the problem that the device does not have the function of positioning the blank to prevent rolling deviation is solved.

The invention aims to provide a K8s and Slurm hybrid deployment management and control method, and particularly relates to a Kubernetes and Slurm hybrid deployment management and control method based on dynamic resource awareness. According to the method, an intelligent node agent (Node Agent) is introduced, trend prediction is carried out according to the real-time water level and historical load characteristics, and therefore refined resource arbitration is carried out on K8s (online) and Slurm (offline) on the Linux Cgroup level. According to the method, the problems of resource conflict and invisibility of heterogeneous scheduling systems (K8s and Slurm) during hybrid deployment at the same node are solved, the problem of performance interference between online services and offline operations is solved, the resource utilization rate is maximized, and meanwhile, the quality of service (QoS) of the online services is ensured. The system has higher stability and safety and anti-interference performance at a micro-architecture level.

This invention relates to the technical field of amphibious vehicle gear shifting devices, specifically an automatic gear shifting device for human-machine co-driving in amphibious vehicles. In this invention, the clutch cylindrical gear and the output clutch gear are connected via a clutch rotating disc and a clutch fixed disc. A groove on the clutch rotating disc pushes a magnetic post into a magnetic post limiting groove on the output clutch gear during rotation. At this time, the clutch cylindrical gear and the output clutch gear rotate synchronously, and the drive motor starts, enabling electric control gear shifting. When the magnetic post is in the groove instead of the magnetic post limiting groove, the clutch cylindrical gear and the output clutch gear rotate relative to each other, allowing manual shifting by pulling the manual gear lever. This process does not conflict with the electric gear shifting device, achieving automatic engagement and disengagement of both manual and electric gear shifting without interference, thus realizing human-machine co-driving.

The application discloses a source code data coupling correctness analysis method and system based on low-layer requirements, evaluates the consistency of data coupling relations between low-layer requirement entries, and evaluates the correctness of source code data coupling based on low-layer requirements. The technical scheme is as follows: based on the traceability relation between source code and low-layer requirements, the data coupling relation based on low-layer requirements is quickly and reversely generated by using the result of source code data coupling analysis, which can be used as the criterion for the correctness of the data coupling relation between low-layer requirement entries, and in turn, can be used as the judgment benchmark for whether the source code data coupling relation conforms to the low-layer requirements, thereby bridging the correctness of the data coupling relation between source code and high-layer requirements. Meanwhile, the software defects, such as the missed low-layer requirement functions in software implementation and the extra introduced redundant codes, can be found.

This patent discloses a convolutional neural network processing method and apparatus, belonging to the field of convolutional neural networks, used to improve data transmission efficiency, optimize the computation process of deep learning, increase computation speed, and reduce power consumption. The main technical solution of this invention is as follows: Weight data is input to a multiplier array according to a first preset method; based on the channels corresponding to each weight data in each row of multipliers, a sub-feature data set corresponding to each row of multipliers is determined; based on the sub-feature data set corresponding to each row of multipliers, the sub-feature data set is input to the multiplier array; the weight data in each multiplier of any row of multipliers is multiplied by each element feature data in the sub-feature data set corresponding to that row of multipliers to obtain a first set of dot product results; the obtained first set of dot product results is input to an accumulator for accumulation; in response to the completion of the accumulator accumulation, the processing result corresponding to the feature data set to be processed is obtained.

The application relates to the technical field of material analysis, and particularly discloses a method and system for regulating an electrospray ion source of a mass spectrometer, a terminal, and a storage medium. The method comprises the following steps: performing feature-level fusion on a multivariate isomer monitoring data set of the electrospray ion source to obtain a digitized state feature vector; periodically dividing the digitized state feature vector to analyze the change trend of a current period state feature vector and obtain a predicted numerical value interval; performing multidimensional compound logic comparison on the current period state feature vector and the predicted numerical value interval to obtain an enhanced state evaluation result; performing state tracing attribution on the current period state feature vector to obtain a core feature dimension and a corresponding change trend, and mapping the core feature dimension and the corresponding change trend to a preset regulation rule library to obtain a working state adjustment parameter set; and encoding the working state adjustment parameter set into a regulation instruction. The application can improve the regulation efficiency of the electrospray ion source of the mass spectrometer.