Abstract: In an approach to improve workload orchestration in a multi-cloud environment, embodiments orchestrate and manage a workload in a decentralized multi-cloud environment using one or more smart contracts. Additionally, embodiments measure, by a competency measurement component, competency of cloud services based on one or more predefined cloud benchmarks, a consensus network, and the one or more smart contracts, and generate an orchestration plan that is a best fit for the workload. Furthermore, embodiments validate and update, by the consensus network and the one or more smart contracts, the generated orchestration plan, and executing the generated orchestration plan.

Abstract: A hybrid compensation system is electrically connected between a power grid and a load. The hybrid compensation system includes an active filter, a passive filter and a control unit. The active filter generates an output current. The active filter includes a switching circuit, a DC bus capacitor and a filtering inductor. The control unit includes a voltage controller, a first reactive current detector, a harmonic current compensator, a current loop controller and a modulator. The voltage controller generates a first current given signal according to a bus voltage of the DC bus capacitor and a reference voltage. The first reactive current detector generates a second current given signal. The harmonic current compensator generates a third current given signal. The current loop controller generates a control signal. The modulator generates a driving signal according to the control signal.

Abstract: An oil mist recovery, separation and purification device for a minimum quantity lubricant (MQL) grinding process, including: a pneumatic separation mechanism, a pipeline and a fan fixedly connected with one end of the pipeline, wherein the fan is configured to form a negative pressure in the pipeline, one cone-shaped filter mesh mechanism is disposed in the pipeline, and a tip of the cone-shaped filter mesh mechanism faces the side of an air inlet direction of the pipeline; and a filtering and recovery mechanism connected with the pipeline and including a case body, a filtering mechanism and a recovery mechanism, wherein the case body is connected with the pipeline through a connecting part, and the filtering mechanism is connected with the recovery mechanism. The device can separate, recover and reuse oil mist particles in the air.

Abstract: The disclosure provides a milling system and method under different lubrication conditions. The system uses a tool to mill the workpiece, a force measuring system to measure the milling force, a tool change system to replace the tools, a tool storage to store the tools. It can store the tools, provide the lubricating oil to the milling surface, select different tools according to different processing conditions, select the best angle differences of the unequal spiral angle tools according to different conditions comprising dry cutting, casting-type lubrication, minimal quantities of lubrication or minimal quantities of nanofluid lubrication, and/or choose the optimal tool according to different cutting parameters in order to obtain the minimum milling force.

Abstract: The present invention relates to a device for recovering, separating and purifying oil mist in a minimum quantity lubricant (MQL) grinding process, comprising: an air separating mechanism, which comprises a pipeline and a fan fixedly connected with one end of the pipeline, wherein the fan is used for forming negative pressure in the pipeline, at least one conical filter mesh mechanism is arranged in the pipeline, and a tip of the conical filter mesh mechanism faces one side of an air inlet direction of the pipeline; and a filtering and recovering mechanism, which is connected with the pipeline and comprises a tank body, a filtering mechanism and a recovering mechanism, wherein the tank body is connected with the pipeline by a connecting part, and the filtering mechanism is connected with the recovering mechanism.

Abstract: The disclosure provides a milling system and method under different lubrication conditions. The system uses a tool to mill the workpiece, a force measuring system to measure the milling force, a tool change system to replace the tools, a tool storage to store the tools. It can store the tools, provide the lubricating oil to the milling surface, select different tools according to different processing conditions, select the best angle differences of the unequal spiral angle tools according to different conditions comprising dry cutting, casting-type lubrication, minimal quantities of lubrication or minimal quantities of nanofluid lubrication, and/or choose the optimal tool according to different cutting parameters in order to obtain the minimum milling force.

Abstract: An oil mist recovery, separation and purification device for a minimum quantity lubricant (MQL) grinding process, including: a pneumatic separation mechanism, a pipeline and a fan fixedly connected with one end of the pipeline, wherein the fan is configured to form a negative pressure in the pipeline, one cone-shaped filter mesh mechanism is disposed in the pipeline, and a tip of the cone-shaped filter mesh mechanism faces the side of an air inlet direction of the pipeline; and a filtering and recovery mechanism connected with the pipeline and including a case body, a filtering mechanism and a recovery mechanism, wherein the case body is connected with the pipeline through a connecting part, and the filtering mechanism is connected with the recovery mechanism. The device can separate, recover and reuse oil mist particles in the air.

Abstract: The disclosure provides a milling system and method under different lubrication conditions. The system uses a tool to mill the workpiece, a force measuring system to measure the milling force, a tool change system to replace the tools, a tool storage to store the tools. It can store the tools, provide the lubricating oil to the milling surface, select different tools according to different processing conditions, select the best angle differences of the unequal spiral angle tools according to different conditions comprising dry cutting, casting-type lubrication, minimal quantities of lubrication or minimal quantities of nanofluid lubrication, and/or choose the optimal tool according to different cutting parameters in order to obtain the minimum milling force.

Abstract: The disclosure provides a method and system for injecting cutting fluid during milling under different working conditions. By analyzing influence of an airflow field in a milling area under different working conditions on injection of cutting fluid, an influence rule of a helical angle and a rotation speed of a cutter on the flow field is quantitatively analyzed, an optimal target distance of a nozzle, an angle between the nozzle and a milling cutter feeding direction and an angle between the nozzle and the surface of a workpiece are comprehensively determined, the nozzle is set according to a determined setting manner, and lubricating oil is sprayed to the milling area by utilizing the nozzle.

Abstract: The disclosure provides a method and system for milling injected cutting fluid under different working conditions. By analyzing influence of airflow fields in a milling area under different working conditions on injection of cutting fluid, an influence rule of a helical angle and a rotation speed of a cutter on the flow field is quantitatively analyzed, an optimal target distance of a nozzle, an angle between the nozzle and a milling cutter feeding direction and an angle between the nozzle and the surface of a workpiece are comprehensively determined, the nozzle is set according to a determined setting manner, and lubricating oil is sprayed to the milling area by utilizing the nozzle.

Abstract: A method for processing across neural networks includes: when processing a last block of a plurality of blocks of an i-th layer of a first neural network, reading data of a first block of a plurality of blocks of a k-th layer of a second neural network from a memory; and processing the first block of the plurality of blocks of the k-th layer of the second neural network according to the data of the first block of the plurality of blocks of the k-th layer of the second neural network after processing the last block of the plurality of blocks of the i-th layer of the first neural network. 1?i?N, N is a number of layers of the first neural network; and 1?k?M, M is a number of layers of the second neural network.

Abstract: The present invention relates to a device for recovering, separating and purifying oil mist in a minimum quantity lubricant (MQL) grinding process, comprising: an air separating mechanism, which comprises a pipeline and a fan fixedly connected with one end of the pipeline, wherein the fan is used for forming negative pressure in the pipeline, at least, one conical filter mesh mechanism is arranged in the pipeline, and a tip of the conical filter mesh mechanism faces one side of an air inlet direction of the pipeline; and a filtering and recovering mechanism, which is connected with the pipeline and comprises a tank body, a filtering mechanism and a recovering mechanism, wherein the tank body is connected with the pipeline by a connecting part, and the filtering mechanism is connected with the recovering mechanism.

Abstract: The disclosure provides a milling system and method under different lubrication conditions. The system uses a tool to mill the workpiece, a force measuring system to measure the milling force, a tool change system to replace the tools, a tool storage to store the tools. It can store the tools, provide the lubricating oil to the milling surface, select different tools according to different processing conditions, select the best angle differences of the unequal spiral angle tools according to different conditions comprising dry cutting, casting-type lubrication, minimal quantities of lubrication or minimal quantities of nanofluid lubrication, and/or choose the optimal tool according to different cutting parameters in order to obtain the minimum milling force.

Abstract: The present invention discloses a tool device for auxiliary chip breaking and a tool system for auxiliary chip breaking under different lubricating conditions, which solves the problem that long chips affect the surface quality of a workpiece in the prior art and has the beneficial effects of realizing chip breaking and wide scope of application. The solution of the present invention is as follows: the tool device for auxiliary chip breaking includes a cutting mechanism for cutting the workpiece, arranged above the workpiece; a tool magazine mechanism, including a first rotating mechanism and a plurality of tools connected with the first rotating mechanism; and a tool changing mechanism, including a second rotating mechanism and manipulators connected with the second rotating mechanism, and arranged between the tool magazine mechanism and the cutting mechanism.

Abstract: The disclosure provides a method and system for milling injected cutting fluid under different working conditions. By analyzing influence of airflow fields in a milling area under different working conditions on injection of cutting fluid, an influence rule of a helical angle and a rotation speed of a cutter on the flow field is quantitatively analyzed, an optimal target distance of a nozzle, an angle between the nozzle and a milling cutter feeding direction and an angle between the nozzle and the surface of a workpiece are comprehensively determined, the nozzle is set according to a determined setting manner, and lubricating oil is sprayed to the milling area by utilizing the nozzle.

Abstract: A method for controlling an unmanned vehicle includes sensing a trigger event for updating a set of parameters of a remote neural network trained for a respective vehicle context of the unmanned vehicle, receiving from a remote server a set of updated parameters of the remote neural network that at least includes updated connection weights of the remote neural network, and transmitting the updated connection weights to the unmanned vehicle for the unmanned vehicle to operate according to a vehicle-based neural network applying the updated connection weights.

Abstract: A method for performing crowd segmentation includes receiving video image data (S21). Background differencing is performed on the received video image data to identify a foreground silhouette shape (S22). Approximate number and position of human subjects within the received video image data are determined by matching the foreground silhouette shape against a set of predetermined foreground silhouette shapes, for each of which a number and position of human subjects is known (S28). The estimated number and position of the human subjects is refined to determine a final number and position of the human subjects (S27).

Abstract: A method for performing crowd segmentation includes receiving video image data (S21). Background differencing is performed on the received video image data to identify a foreground silhouette shape (S22). Approximate number and position of human subjects within the received video image data are determined by matching the foreground silhouette shape against a set of predetermined foreground silhouette shapes, for each of which a number and position of human subjects is known (S28). The estimated number and position of the human subjects is refined to determine a final number and position of the human subjects (S27).