Abstract: The present disclosure provides a method, device, computer apparatus, and storage medium for training recognition model and recognizing fundus features. The method includes: obtaining a color fundus image sample associated with a label value, inputting the color fundus image sample into a preset recognition model containing initial parameters; extracting a red channel image; inputting the red channel image into the first convolutional neural network to obtain a first recognition result and a feature image of the red channel image; combining the color fundus image sample with the feature image to generate a combined image, and inputting the combined image into the second convolutional neural network to obtain a second recognition result; obtaining a total loss value through a loss function, and when the total loss value is less than or equal to a preset loss threshold, ending the training of the preset recognition model.

Abstract: Disclosed are a temporary plugging agent and a preparation method thereof, and a method for temporary plugging and fracturing of a high-temperature reservoir. The temporary plugging agent includes the following components in mass fractions: acrylamide 5%, composite crosslinking agent 1%, laponite 1%, ammonium persulfate 0.1% and water 92.9%.

Abstract: A battery quick disconnect assembly, comprising: an accommodating portion which comprises an accommodating cavity, a hardware male interface being provided in the accommodating cavity, the accommodating cavity having an opening, the opening being formed at the proximal end of the accommodating cavity, and a snapping slot being provided at the vicinity of the opening; and a battery assembly which comprises a battery body, the battery body being provided with a hardware female interface and a rotating portion, the rotating portion being provided at the proximal end of the battery body, the rotating portion comprising two rotating pairs, a connecting member for connecting the two rotating pairs, and hooks, one hook being provided close to each rotating pair, and the two rotating pairs being respectively provided on the two sides of the battery body, so that the battery assembly and the accommodating portion can be quickly connected and disconnected.

Abstract: An example method is provided to deploy an application in multiple cloud computing environments. The method may comprise a computing system generating a first request to deploy an application in a first cloud computing environment according to a first deployment plan and a second request to deploy the application in a second cloud computing environment according to a second deployment plan. The method may comprise selecting, from multiple communication components configured on the computing system, a first communication component to communicate with a first orchestration node in the first cloud computing environment and a second communication component to communicate with a second orchestration node in the second cloud computing environment. The method may further comprise sending the first request to the first orchestration node via the first communication component, and the second request to the second orchestration node via the second communication component.

Abstract: The present invention belongs to the technical field of hard disk device, and specifically relates to a Hard Disk Device Based on Blockchain. The hard disk device comprises a storage unit and a protection unit; wherein a hard disk body stores information in the blockchain; the protection unit comprises a protective case, an airbag and an interface extension board; the airbag is laid flat on the inner bottom of the protective case; the interface extension board passes through a side wall of the protective case and is bolted to the protective case; a dust board in a first through hole of the interface extension board is located at the port on the interface extension board close to the hard disk body when the hard disk body is not placed in the protective case; the dust board is connected to the inside of the first through hole by a first spring.

Abstract: The present invention belongs to the technical field of hard disk device, and specifically relates to a Hard Disk Device Based on Blockchain. The hard disk device comprises a storage unit and a protection unit; wherein a hard disk body stores information in the blockchain; the protection unit comprises a protective case, an airbag and an interface extension board; the airbag is laid flat on the inner bottom of the protective case; the interface extension board passes through a side wall of the protective case and is bolted to the protective case; a dust board in a first through hole of the interface extension board is located at the port on the interface extension board close to the hard disk body when the hard disk body is not placed in the protective case; the dust board is connected to the inside of the first through hole by a first spring.

Abstract: An example method is provided to deploy an application in multiple cloud computing environments. The method may comprise a computing system generating a first request to deploy an application in a first cloud computing environment according to a first deployment plan and a second request to deploy the application in a second cloud computing environment according to a second deployment plan. The method may comprise selecting, from multiple communication components configured on the computing system, a first communication component to communicate with a first orchestration node in the first cloud computing environment and a second communication component to communicate with a second orchestration node in the second cloud computing environment. The method may further comprise sending the first request to the first orchestration node via the first communication component, and the second request to the second orchestration node via the second communication component.

Abstract: An example method is provided to deploy an application in multiple cloud computing environments. The method may comprise a computing system generating a first request to deploy an application in a first cloud computing environment according to a first deployment plan and a second request to deploy the application in a second cloud computing environment according to a second deployment plan. The method may comprise selecting, from multiple communication components configured on the computing system, a first communication component to communicate with a first orchestration node in the first cloud computing environment and a second communication component to communicate with a second orchestration node in the second cloud computing environment. The method may further comprise sending the first request to the first orchestration node via the first communication component, and the second request to the second orchestration node via the second communication component.

Abstract: An example method is provided for a computing system in a private cloud computing environment to deploy an application in a hybrid cloud computing environment. The method may comprise generating a request to deploy an application in a public cloud environment, the request including a deployment plan that specifies one or more tasks to be executed by a virtual computing resource from a cloud provider to deploy the application. The method may comprise sending, to an orchestration node in the public cloud computing environment, the request to instruct the orchestration node to provision the virtual computing resource from the cloud provider and to cause the virtual computing resource to execute the one or more tasks. The method may further comprise receiving, from the orchestration node in the public cloud environment, status data and determining whether the application is successfully deployed in the public cloud computing environment.

Abstract: Systems and methods for managing Software-as-a-Service (SaaS) provided by a virtual machine are described. The system may include a management application, and may receive a feature package from the virtual machine. The feature package may be associated with a function supported by the virtual machine. The system may integrate the feature package into the management application, and transmit a first command to the virtual machine for executing the function at the virtual machine. The first command may be generated by the management application based on the feature package.

Abstract: A method to deploy a multitier application in a virtualized computing environment includes receiving an open virtualization format (OVF) package. The OVF package includes an OVF descriptor, one or more virtual disk image files of virtual machines, and a multitier application blueprint specifying software components on the virtual machines and dependencies of the software components. The method further includes deploying the virtual machines based on the OVF package and executing the multitier application blueprint by deploying the software components on the virtual machines pursuant to the dependencies of the software components.

Abstract: An example method is provided for a computing system in a private cloud computing environment to deploy an application in a hybrid cloud computing environment. The method may comprise generating a request to deploy an application in a public cloud environment, the request including a deployment plan that specifies one or more tasks to be executed by a virtual computing resource from a cloud provider to deploy the application. The method may comprise sending, to an orchestration node in the public cloud computing environment, the request to instruct the orchestration node to provision the virtual computing resource from the cloud provider and to cause the virtual computing resource to execute the one or more tasks. The method may further comprise receiving, from the orchestration node in the public cloud environment, status data and determining whether the application is successfully deployed in the public cloud computing environment.

Abstract: An example method is provided for a computing system in a private cloud computing environment to deploy an application in a hybrid cloud computing environment. The method may comprise generating a request to deploy an application in a public cloud environment, the request including a deployment plan that specifies one or more tasks to be executed by a virtual computing resource from a cloud provider to deploy the application. The method may comprise sending, to an orchestration node in the public cloud computing environment, the request to instruct the orchestration node to provision the virtual computing resource from the cloud provider and to cause the virtual computing resource to execute the one or more tasks. The method may further comprise receiving, from the orchestration node in the public cloud environment, status data and determining whether the application is successfully deployed in the public cloud computing environment.

Abstract: An example method is provided to deploy an application in multiple cloud computing environments. The method may comprise a computing system generating a first request to deploy an application in a first cloud computing environment according to a first deployment plan and a second request to deploy the application in a second cloud computing environment according to a second deployment plan. The method may comprise selecting, from multiple communication components configured on the computing system, a first communication component to communicate with a first orchestration node in the first cloud computing environment and a second communication component to communicate with a second orchestration node in the second cloud computing environment. The method may further comprise sending the first request to the first orchestration node via the first communication component, and the second request to the second orchestration node via the second communication component.

Abstract: An example method for reserving resources in a multi-cloud environment may include receiving, by a reservation broker executing in the multi-cloud environment, a first client request to reserve a first cloud resource in a plurality of clouds. The plurality of clouds includes a corresponding plurality of cloud brokers. The method may include selecting, by the reservation broker, a first cloud broker from the plurality of cloud brokers based on a first reservation type associated with the first cloud resource. The first cloud broker corresponds to a first cloud selected from the plurality of clouds. The method may also include transmitting, by the reservation broker, a first reservation request to the first cloud broker. The first cloud broker is configured to reserve the first cloud resource in the first cloud based on the first reservation request.

Abstract: An example method is provided to deploy an application in multiple cloud computing environments. The method may comprise a computing system generating a first request to deploy an application in a first cloud computing environment according to a first deployment plan and a second request to deploy the application in a second cloud computing environment according to a second deployment plan. The method may comprise selecting, from multiple communication components configured on the computing system, a first communication component to communicate with a first orchestration node in the first cloud computing environment and a second communication component to communicate with a second orchestration node in the second cloud computing environment. The method may further comprise sending the first request to the first orchestration node via the first communication component, and the second request to the second orchestration node via the second communication component.

Abstract: An example method for reserving resources in a multi-cloud environment may include receiving, by a reservation broker executing in the multi-cloud environment, a first client request to reserve a first cloud resource in a plurality of clouds. The plurality of clouds includes a corresponding plurality of cloud brokers. The method may include selecting, by the reservation broker, a first cloud broker from the plurality of cloud brokers based on a first reservation type associated with the first cloud resource. The first cloud broker corresponds to a first cloud selected from the plurality of clouds. The method may also include transmitting, by the reservation broker, a first reservation request to the first cloud broker. The first cloud broker is configured to reserve the first cloud resource in the first cloud based on the first reservation request.

Abstract: A method to deploy a multitier application in a virtualized computing environment includes receiving an open virtualization format (OVF) package. The OVF package includes an OVF descriptor, one or more virtual disk image files of virtual machines, and a multitier application blueprint specifying software components on the virtual machines and dependencies of the software components. The method further includes deploying the virtual machines based on the OVF package and executing the multitier application blueprint by deploying the software components on the virtual machines pursuant to the dependencies of the software components.

Abstract: An example method is provided for a computing system in a private cloud computing environment to deploy an application in a hybrid cloud computing environment. The method may comprise generating a request to deploy an application in a public cloud environment, the request including a deployment plan that specifies one or more tasks to be executed by a virtual computing resource from a cloud provider to deploy the application. The method may comprise sending, to an orchestration node in the public cloud computing environment, the request to instruct the orchestration node to provision the virtual computing resource from the cloud provider and to cause the virtual computing resource to execute the one or more tasks. The method may further comprise receiving, from the orchestration node in the public cloud environment, status data and determining whether the application is successfully deployed in the public cloud computing environment.