223results about How to "Reduce deployment time" patented technology

An intravascular implant delivery system carries an implant by retaining an engagement member engaging the implant in a position proximal of an aperture at a distal end of the delivery system. The engagement member is retained proximal to the aperture by a cord that obstructs the movement of the engagement member through the aperture. The engagement member is free to rotate and move within an area defined by the delivery system, allowing the implant to react to forces imparted to the implant by the movement of the delivery system and implant through a delivery catheter. Once the implant is in a desired implant position, the cord is moved away from an aperture and the engagement member is allowed to move away from the delivery system.

An application server disk image generating apparatus and method comprising a basic disk image generating component for generating basic disk images for basic programs used by the server; an incremental disk image generating component for generating incremental disk images including heritage relationship for other respective applications based on the basic programs used by the server; and an image profile generating means for generating an image profile for each of the basic disk images and the incremental disk images. By using the apparatus, the storage consumption can be decreased greatly and the storage efficiency can be improved. The invention also discloses an application server disk image management and distribution system to which the application server disk image generating apparatus is applied, and a system for provisioning the application server using disk images.

A method and apparatus in a base station for jointly controlling sub-channel transmission power and assigned codec modes for a first and second mobile station utilizing Voice services over Adaptive Multi-user channel on One Slot (VAMOS). The base station receives signal quality information reports from the mobile stations every 480 ms using the Slow Associated Control Channel (SACCH), and receives codec mode requests from the mobile stations every 40 ms using Adaptive Multi-Rate (AMR) in-band signaling. The base station associates the requested codec modes with estimated levels of speech quality currently being experienced by the first and second mobile stations. The base station then allocates sub-channel transmission power and assigns codec modes to the first and second mobile stations based on the estimated levels of speech quality associated with the requested codec modes and the signal quality reports.

Automatic deployment of an information technology (TT) system instance having hardware and software components. An application model of the software components is generated based on use cases and is associated with functional and non-functional requirements. An infrastructure model of the hardware components is generated based on the application model. The same software component modeling language represents both the application and infrastructure models. A markup language computer file is generated to include a design of the IT system instance and instructions for accessing library-stored assets that specify the hardware and software components. The computer file is exported to a deployment tool for automatic deployment of the IT system instance based on carrying out the instructions. In one embodiment, the impact of a proposed change is identified and managed in real time prior to a deployment of the proposed change.

The invention relates to a mobile phone screen MURA defect detection method based on a convolution neural network pruning algorithm. The mobile phone screen MURA defect detection method based on a convolution neural network pruning algorithm includes the steps: 1) customizing a depth convolution neural network, and utilizing the existing training data to train a neural network of detecting a mobile phone screen MURA defect; 2) utilizing an adaptive template coupling method to perform pruning operation on the convolution neural network, reducing the network scale, and reducing the algorithm running time; 3) zooming the mobile phone screen images shot by a high resolution camera, forming an image pyramid, for the image of each scale, utilizing a sliding window method to segment the images into small blocks, and taking all the small blocks of images as one group and sending the group to the convolution neural network; and 4) selecting all the characteristic images of the intermediate layer as the response images for the defect, and utilizing a threshold segmentation method to finally obtain the area position of the mobile phone screen MURA defect.

The invention relates to a folding type unmanned plane. The unmanned plane comprises a fuselage and wings, wherein the wings are installed symmetrically on two sides of the fuselage; one end of each wing is hinged on a wing main shaft installed coaxially at the middle part inside the fuselage; wing access through-grooves are formed horizontally in two sides of the fuselage in the installation positions of the wings; and the wings are driven and controlled by an motor-driven or pneumatic device installed at the lower part inside the fuselage and rotate around the wing main shaft. The folding type unmanned plane can be used flexibly and rapidly; is mutifunctional, low in flight speed and altitude, high in response speed and wide in application range; can facilitate operation of a staff; has 'zero' preparation time; and can be applied to tasks such as exploration, search, rescue and measurement.

The embodiment of the invention discloses a system mirror image file updating method of a virtual machine. The system mirror image file updating method comprises the steps that when a virtual machine creating request is received, a target computing resource pool is selected from multiple computing resource pools, and a third virtual machine is created according to the target computing resource pool; on the condition that a system mirror image file of the third virtual machine is updated, data of a preset first system mother volume and incremental data of the system mirror image file are obtained; a new system mirror image file is synthesized based on the incremental data of the system mirror image file and the data of the first system mother volume; a second system mother volume of the third virtual machine is created in the target computing resource pool, and the new system mirror image file is stored in the second system mother volume; a second snapshot photo is generated according to the second system mother volume; a third linkage clone volume is created according to the second snapshot photo, and the third virtual machine is started according to the third linkage clone volume. The embodiment of the invention further discloses a cloud data center and a system. By the adoption of the system mirror image file updating method, the system mirror image file updating time is shortened, and storage space is reduced.

The invention discloses an online game client side resource downloading method, comprising the following steps that: step 1, the online game client resource is divided into a minimum client side and a residual resource; the client side downloads and installs the minimum client; step 2, the client side starts an online game, in a process of playing the online game, the client side senses bandwidth and downloads the residual resource through idle bandwidth; step 3, after ending the online game, the client side downloads an updating program to reside in the client, and continues to downloads the residual resource through the idle bandwidths. The method can simplify and facilitate the downloading process of clients, and can shorten time of deployment process of a game client side, so that game players still can quickly enter into the game when the client side resource is larger, and also can download the resource in the process of playing the game, thereby increasing interest of the clients to the online game, preventing client loss and attracting new clients.

The invention discloses a virtual network function deployment method of a service function chain. The method comprises steps of successively selecting un-deployed VNFs in the service function chain; when the current VNF is not the last VNF, calculating the reliability value from each top point in a top point set to a source point s; when a non-target top point meets a preset constraint, using thereliability value from the top point to the source point s to update the preset reliability value of the top point; selecting a non-target top point corresponding to the biggest top point reliabilityvalue to deploy the current VNF; when the current VNF is the last VNF in the service function chain, calculating a first calculation value; when the top point meets a preset condition, using the ratioof the first calculation value of the current top point to an attribute reliability value of the current top point to update a preset threshold of the current top point; and when all the top points in the top point set are traversed, selecting the top point corresponding to the biggest set threshold in all the top points to deploy the last VNF, and outputting a deployment scheme.

The invention discloses a real-time data processing system. Data filtering, processing and condition storage of data in a transmission process are realized in a Pub / Sub message queue topic mode based on a message queue data transmission channel constructed on a TCP or UDP transmission protocol. The system involved in the invention provides a flexible, dynamically deployable and pluggable real-time data processing framework, so that corresponding data processing systems can be quickly deployed and realized for different application environments and demands, services can be easily cloudized, scalability and expandability are achieved, the utilization efficiency of computing resources is improved, and the service development and deployment time is shortened.

A system and method for deploying user apps to user devices is disclosed. A service module on a host system maintains class files of the user app within an original archive, and creates an install agent archive and a modified user app archive from the original archive. In some embodiments, the service module deploys an install agent from the install agent archive and a runtime agent of the modified user app archive to the user device. In other embodiments, the install agent and the runtime agent are pre-installed within a virtual machine of the user device. The install agent receives the class files from the service module, and the runtime agent loads and executes the class files to deploy the user app on the user device. In a preferred embodiment, the system enables faster initial deployment and redeployment of user apps on Android user devices than current systems and methods.

The invention provides an industrial robot vision system and demonstration method thereof. The vision system includes cameras, a vision controller, an Ethernet switch, a robot controller and a robot demonstrator; the plurality of cameras are arranged in arbitrary fixed positions in a working scene or / placed at the tail end of a robot arm to move together with a mechanical arm, the vision controller and the robot controller communicate through the Ethernet switch by a gigabit Ethernet, and the robot controller is connected with the robot demonstrator. The industrial robot vision system organically integrates visual collection, labeling, training and a recognition system, the system complexity is reduced, and the reliability is improved. A visual recognition capability is added to an industrial robot conveniently through demonstration instead of programming. The method does not require a user to have professional knowledge in the field of machine vision. Applying difficulty of a machine vision product matched with the industrial robot in the fields of object recognition, quality detection, position detection, process detection and safety protection is lowered.

The embodiment of the invention provides a base station deployment method, a network server and an unmanned aerial vehicle. The method comprises the steps of determining a target geographical range where a base station is to be deployed; determining a first base station and a second base station, and a candidate geographical location for deploying the base station between the first base station and the second base station according to signal coverage quality of each base station within the target geographical range; and determining a target geographical location where the base station to be deployed according to the signal coverage quality of the first base station and the second base station when the unmanned aerial vehicle carrying the base station reaches each candidate geographical location. According to the base station deployment method, the network server and the unmanned aerial vehicle provided by the embodiment of the invention, the signal coverage quality of the base station is automatically measured by using the characteristic that the unmanned aerial vehicle is rapid and flexible to deploy the base station, so that the deployment time of the base station is reduced, the automation degree of deployment of the base station is increased, and deployment efficiency of the base station is improved.

The cushion of an air bag module includes a first chamber part which deploys to one side of an occupant by a high pressure gas of an inflator, a second chamber part which is formed to communicate with the first chamber part and deploys to the other side of the occupant by the high pressure gas in the first chamber part, an inner pocket which is mounted on an inner side of the first chamber part to introduce gas from the inflator and has a plurality of vent holes to emit the gas into the first chamber part, and a diffuser provided at the vent holes of the inner pocket so that the gas emitted from the inner pocket forms an eddy current at a side of the second chamber part.

The technology can include a retractable rotary turret system. The system includes a base comprising two support arms. The system further includes a turret platform that is a truncated sphere having a substantially flat side and a substantially spherical side. The turret platform includes a turret support ring rotary coupled to the two support arms and a turret device isolatively coupled to the turret support ring. The turret platform is rotatable along a first dimension for deployment of the spherical side and is rotatable along the first dimension for deployment of the flat side.

The invention provides a high-performance computing cluster dynamic node operation method. The method comprises the following steps: providing a unified system file system space and diskless booting based on an Infiniband network, providing cluster operation scheduling, power on / off control, system monitoring and like functions based on the Ethernet. Through above mentioned way, the deployment efficiency of the high-performance computing cluster can be improved, a fault rate is lowered, the job submitting is simplified, the energy source use rate and the capital use rate are improved, and the use efficiency and performance are promoted.

The head-protection airbag device comprises an airbag stored along a roof side rail and including a gas-introducing path at its upper edge. A gas is supplied from a gas supplier into an inflation chamber through a gas distribution pipe provided within the gas-introducing path, whereby the airbag is inflated and deployed like a curtain along a sidewall of a vehicle compartment so as to protect a head of an occupant. Gas outlets of the gas distribution pipe are oriented in different directions in a region corresponding to a door glass portion and in a region corresponding to a pillar garnish portion.

A system that enables development and execution of predictive models comprises a centralized data management system, a data extraction tool a model validation tool and a model execution tool. In embodiments, a data management system includes a data management server that can be accessed via a web browser that stores data in the form of a flat file. An extraction tool extracts data. A model validation tool validates a model by scoring an analytical environment data set and a production environment data set. A model execution tool allows a user to select when and how often a model is scored.

The invention provides a service management method and device for a server cluster. The method comprises the following steps: simultaneously deploying a new version of service code on a second web container of each server in the server cluster; receiving a first service upgrade request; modifying the port number pointed by a target port of each server in the server cluster into the port number ofthe second web container from the port number of a first web container in response to the first service upgrade request, wherein the target port is a port for pointing to the port number of the web container; and each server in the server cluster is preconfigured with a first web container and a second web container. According to the service management method and device for a server cluster in theinvention, two web containers are deployed on the server so that the new version of service code can be deployed to a plurality of second web containers in the cluster while the first web container is provided with a service, thereby reducing the code deployment time when the service of the server cluster is upgraded.

The invention discloses an application deployment method in a mobile edge cloud, and the method combines fog computing with a mobile edge cloud network, and constructs a three-layer tree edge network structure consisting of a remote radio unit (RRU), a baseband processing unit (BBU) and a central controller. On the basis, an application deployment problem in the mobile edge cloud is converted into a binary integer programming problem, and an application deployment method for solving the problem is provided. According to the method, a descending optimal adaptation algorithm (BFD algorithm) is combined with a PRA algorithm, an application deployment mode capable of reducing the total cost is found, and the application is reasonably deployed in an edge server. In the aspect of the redeployment frequency of the application program, a heuristic redeployment method is provided, and the method utilizes a hit rate monitoring function to heuristic trigger redeployment operation, so that the system can reasonably determine the redeployment frequency, and meets the time-varying requirement.

The invention discloses a containerized cluster system deployment method and device. The containerized cluster system deployment method comprises the steps that a total deployment node determines a lower-level distribution node in a cluster to be deployed and sends a mirror image file to be transmitted and a distribution task to the lower-level distribution node, and the distribution task comprises node information that the lower-level distribution node is responsible for mirror image file distribution. In the scheme provided by the invention, the total deployment node determines the lower-level distribution node, and the lower-level distribution node distributes the mirror image files, so that the distribution time consumption of the mirror image files is reduced, and the deployment speedof the containerized cluster system is improved.

The invention discloses an intelligent space positioning system and space positioning method for a laser pan-tilt. The space positioning system comprises a distance acquisition subsystem, an angle control subsystem and a marker subsystem, wherein the distance acquisition subsystem comprises a probe array formed by laser ranging probes; the probe array follows the marker subsystem and monitors distance information between the probe array and the marker subsystem from the same direction; each laser ranging probe collects independent distance information separately; the angle control subsystem controls a level angle and a pitch angle of the distance acquisition subsystem and makes the distance acquisition subsystem aligned at the marker subsystem; and the marker subsystem provides the distance acquisition subsystem with an alignment signal, receives alignment measurement operation of the distance acquisition subsystem and is matched with correction lock operation of the angle control subsystem. According to the system, large-range measurement and accurate positioning can be achieved by employing laser ranging, meanwhile, the anti-jamming capability of equipment is improved, and the measurement accuracy can be further improved by using the space positioning method.

The invention provides a system and a method for establishing a database cluster in a K-UX operation system. The system comprises an operation system SSH protocol interface module, a parameter management module, a job scheduling module, a monitoring module, an exception processing module, a database monitoring module, a database verification module and a console module. According to the system for establishing the database cluster in the K-UX operation system, a K-DB database cluster is installed and verified automatically, so that the working steps of implementation personnel are reduced; the efficiency of establishing and detecting the K-DB database cluster in the K-UX operation system can be greatly improved, so that the working time of the implementation personnel is shortened; by installing and verifying the K-DB database cluster in the K-UX operation system, the deployment time of the implementation personnel can be greatly shortened; and a solution for quickly installing and verifying the database cluster is provided for the K-UX operation system.

The present invention discloses a network safety protection system. The system comprises: a cloud server configured to deploy a virtual safety gateway (such as a firewall, a VPN, intrusion detection, vulnerability scanning, networking behavior management, safety audit, virus prevention and mail filtering); and a first terminal configured to establish a network tunnel from the physical internet access of the first terminal to the cloud server to map a virtual network interface provided by the virtual safety gateway to the physical internet access. The present invention further discloses a network safety protection method. The deployment cost and deployment time of the network safety protection system can be reduced.

The invention discloses a selection method and device for network slicing subnets, and a computer readable storage medium. The method includes the following steps: receiving network slicing subnet distribution requests, converting the capability demands of network slices in the network slicing subnet distribution requests into labels of the network slicing subnets; and selecting the network slicing subnets matching the converted labels of the network slicing subnets from a network slicing subnet pool according to the converted labels of the network slicing subnets and automatic selection strategies of the network slicing subnets in the network slicing subnet pool. The method and devices and the computer readable storage medium can automatically select one or more sharable network slicing subnets according with the capability demands of the network slices when the network slices are established, so that the degree of automation of network operation and maintenance can be enhanced, deployment time of the network slices can be reduced, and user experience can be improved.

The application brings forward a packet transport network service detecting and measuring method, device and system, and relates to the realization and application field of a packet transport network service test technology. The method comprises the steps: sending a data stream to access loopback equipment through a packet transport network (PTN), the data stream including a test message formed according to a preset condition; receiving a loopback message returned by the access loopback equipment through the PTN; and determining the bandwidth quality of a current PTN link according to the flow of the sent data stream and the flow of the received loopback message. The method checks the correctness of service configurations, enables a user to conveniently make fault diagnosis for PTN services, and helps to ensure that the quality of services actually provided to a user is as good as what a service provider promises to the user when the user is buying the services.