Abstract: A smart agricultural automatic feeding device includes a feeding box, a weighing part is disposed in the feeding box and connected with a top of the feeding box; a separating part is disposed below the weighing part and rotatably connected to an inner wall of the feeding box, a feed end of the separating part is connected with a discharge end of weighing part; a delivery part is disposed below the separating part and includes delivery tubes arranged in parallel, the delivery tubes are fixed to the inner wall of the feeding box, feed ends of the delivery tubes are connected to the discharge end of the separating part and configured to be arranged correspondingly to a fish pond; an air supply part is disposed outside the feeding box and connected to the delivery tubes through a pressurized part, the pressurized part is in transmission connection with the separating part.

Abstract: A method for determining a quantity of passive inter-modulation sources. A quantity of passive inter-modulation sources of a multi-antenna device is obtained. An interference signal that is excited by a sounding signal and that is from a passive inter-modulation source is received. Singular value decomposition is performed on a first matrix corresponding to the interference signal. A quantity of passive inter-modulation sources is determined based on a result of the singular value decomposition. In this way, the quantity of passive inter-modulation sources of the multi-antenna device is directly determined by performing operations including signal receiving and sending and calculation of the multi-antenna device, to implement convenient, accurate, and secure detection of information about the quantity of the passive inter-modulation sources of the multi-antenna device.

Abstract: The present invention discloses an electric pump for a power battery thermal management system, including a pump body; a motor mounted in the pump body; an impeller mounted in the pump body and driven by the motor, and a liquid heating device mounted in the pump body and configured to heat a liquid sucked from a suction inlet by the impeller and discharged from a discharge outlet.

Abstract: A method and associated system. In response to a request to deploy a virtual machine, a virtual machine resource usage pattern having attributes matching a subset of attributes in than ordered sequence of attributes is selected from at least one virtual machine resource usage pattern stored in a virtual machine resource usage pattern library, based on an ordering of the attributes in the ordered sequence of attributes, wherein the virtual machine resource usage pattern library stores usage patterns for virtual machines previously deployed. A node on which the virtual machine is to be deployed is selected, based on the selected virtual machine resource usage pattern, and additionally based on either available resources of the plurality of nodes or predicted runtime resource requirements of the virtual machine to be deployed. The virtual machine is configured for being deployed on the selected node. The virtual machine is deployed on the selected node.

Abstract: A method and associated system. In response to a request to deploy a virtual machine, a virtual machine resource usage pattern having attributes matching a subset of attributes in than ordered sequence of attributes is selected from at least one virtual machine resource usage pattern stored in a virtual machine resource usage pattern library, based on an ordering of the attributes in the ordered sequence of attributes, wherein the virtual machine resource usage pattern library stores usage patterns for virtual machines previously deployed. A node on which the virtual machine is to be deployed is selected, based on the selected virtual machine resource usage pattern, and additionally based on either available resources of the plurality of nodes or predicted runtime resource requirements of the virtual machine to be deployed. The virtual machine is configured for being deployed on the selected node. The virtual machine is deployed on the selected node.

Abstract: A method and associated system. In response to a request to deploy a virtual machine in a computing environment, a virtual machine resource usage pattern having attributes matching a subset of attributes in than ordered sequence of attributes is selected from at least one virtual machine resource usage pattern stored in a virtual machine resource usage pattern library, based on an ordering of the attributes in the ordered sequence of attributes, wherein the virtual machine resource usage pattern library stores usage patterns for virtual machines previously deployed. A node on which the virtual machine is to be deployed is selected, based on the selected virtual machine resource usage pattern and predicted runtime resource requirements of the virtual machine to be deployed based on historical running data of virtual machines. The virtual machine is configured for being deployed on the selected node. The virtual machine is deployed on the selected node.

Abstract: A method and associated system. A request to deploy a virtual machine in a computing environment is received. The request identifies an ordered sequence of attributes that the virtual machine to be deployed includes. In response to the request, a virtual machine resource usage pattern having attributes matching a subset of attributes in the ordered sequence of attributes is selected, based on an ordering of the attributes in the ordered sequence of attributes. A node on which the virtual machine is to be deployed is selected from two or more nodes in the computing environment, based on the selected virtual machine resource usage pattern and predicted runtime resource requirements of the virtual machine to be deployed.

Abstract: A method and associated system. In response to a request to deploy a virtual machine in a computing environment, a virtual machine resource usage pattern having attributes matching a subset of attributes in than ordered sequence of attributes is selected from at least one virtual machine resource usage pattern stored in a virtual machine resource usage pattern library, based on an ordering of the attributes in the ordered sequence of attributes, wherein the virtual machine resource usage pattern library stores usage patterns for virtual machines previously deployed. A node on which the virtual machine is to be deployed is selected, based on the selected virtual machine resource usage pattern and predicted runtime resource requirements of the virtual machine to be deployed based on historical running data of virtual machines. The virtual machine is configured for being deployed on the selected node. The virtual machine is deployed on the selected node.

Abstract: Embodiments of the present disclosure provides a mounting method and system of external storage device of a dual system, the dual system includings a first operating system and a second operating system. The mounting method includes: transmitting a mounting request to the second operating system through the first operating system when the external storage device is mounted on the second operating system; unmounting the external storage device that is mounted on the second operating system when the second operating system receives the mounting request; mounting the external storage device on the first operating system when the second operating system successfully unmounts the external storage device. In this way, operation steps of mounting the external storage device in the dual system are greatly simplified, so that it is convenient for users to utilize, and user experience is improved.

Abstract: A method and associated system. A request to deploy a virtual machine in a computing environment is received. The request identifies an ordered sequence of attributes that the virtual machine to be deployed includes. In response to the request, a virtual machine resource usage pattern having attributes matching a subset of attributes in the ordered sequence of attributes is selected, based on an ordering of the attributes in the ordered sequence of attributes. A node on which the virtual machine is to be deployed is selected from two or more nodes in the computing environment, based on the selected virtual machine resource usage pattern and predicted runtime resource requirements of the virtual machine to be deployed.

Abstract: The present application provides a method and system for Cross Domain Single Sign On. The method comprises: receiving a request from a user to a service provider; processing the user request prior to relaying the request to the service provider; forwarding the processed request to the corresponding service provider according to the type of request; in response to receiving a response to the request from the service provider, processing the response, and forwarding the processed response to the user. By adopting the method and system of the present application, a Single Sign On management proxy is introduced as a united management system for a session lifetime of the user. The SSO management proxy manages operations of logging in, checking a session expiration and recovering, logging out, URL mapping, error processing, and access control, and effectively improves the availability, security, functional continuity of the service as well as the user's experience.

Abstract: The present application provides a method and system for Cross Domain Single Sign On. The method comprises: receiving a request from a user to a service provider; processing the user request prior to relaying the request to the service provider; forwarding the processed request to the corresponding service provider according, to the type of request; in response to receiving a response to the request from the service provider, processing the response, and forwarding the processed response to the user. By adopting the method and system of the present application, a Single Sign On management proxy is introduced as a united management system for a session lifetime of the user. The SSO management proxy manages operations of logging in, checking a session expiration and recovering, logging out, URL mapping, error processing, and access control, and effectively improves the availability, security, functional continuity of the service as well as the user's experience.