33results about How to "Automate selection" patented technology

An automated seal selection, seal design, manufacturing, and post sales system allows a distributor or untrained user to select a replacement seal for a pump. The automated system designs and engineers the seal, whether standard or special, and creates all drawings, documentation, quotations, and other output forms. The automated system initiates selection from inventory or purchasing of materials to be used in the manufacturing operations, creates all manufacturing CNC programs for the components to be manufactured and downloads to CNC from manufacturing equipment. The system allows selection of a seal based upon a seal part number, or selection of a seal based upon the pump into which the seal will be installed and the operating conditions of the pump. The pump may be defined by searching through a database of existing pumps, or may be defined as a new pump if it is not in the pump database. Results of a previous compatibility analysis, perhaps performed by the seal manufacturer, may be accessed for existing pumps, or an on-line compatibility analysis may be performed for new pumps, to determine whether an existing seal fits the pump with no modifications. If no existing seal fits, the system provides two options. In a first option, a special seal is specified which will fit the pump with no modifications to the pump. An integrated design system determines dimensions for the special seal and its various components in real time providing immediate quotations including drawings. With a second option, modifications to the pump are defined so that a standard seal will fit. After a seal is specified, the system recommends materials of construction and allows the customer to select materials and other selectable options. The system then outputs a proposal including drawings with full dimensions, price, modification notes, warnings, a complete bill of materials, an order form, quote form and a dimensions verification form. The system then stores the information in a plant standardization survey for future retrieval. If an order is received, the drawings created using the system may be transferred to a manufacturing center where CNC programs are created in real time enabling immediate manufacturing. All engineering, design, and manufacturing programs may be created without human intervention. The system generated CNC programs may be automatically downloaded to the machine for manufacturing without human intervention.

The invention discloses an intelligent Internet-of-Things blind guide stick. A vibration module and a Bluetooth headset module are arranged in a hand-shaped stick handle. A radar ranging module, a GPS positioning module, an LED illumination module, an image recognition module, a bar code recognition module and a cloud data storage module are arranged in a stick body. A charging interface is installed at the bottom of the stick body. The vibration module comprises a microprocessor, a vibration class memory, a vibration time memory and a motor. The Bluetooth headset module comprises a Bluetooth chip, an audio processing chip and an audio emitting module. A voice recognition module and an image recognition module are arranged in the vibration module. Through the intelligent Internet-of-Things blind guide stick, exchange between road information and a user, recognition of the voice of the user, making of a walking route and recognition of blind sidewalk and bus information are realized; whether an obstacle exists in front or not is sensed through ultrasonic waves, meanwhile, a prompter emits sounds to notify the blind, the stick can adapt to people with different heights, and a lamp can caution surrounding pedestrians and vehicles for avoidance; the stick is simple in structure and convenient to use.

The disclosure discloses an image segmentation method and device, belonging to the field of image processing. The image segmentation method includes: establishing a saliency model of the image; obtaining foreground sample points and background sample points in the image according to the saliency model; establishing a foreground and background classification model according to the saliency model and the foreground sample points and background sample points; The predetermined graph cut algorithm is used to segment the image, and the predetermined graph cut algorithm uses the foreground and background classification model and the edge information between pixels to segment the image. By automatically determining the foreground and background sample points and combining the saliency model to establish a foreground and background classification model, the foreground and background classification model is used to achieve image segmentation; it solves the need for users to manually roughly select foreground sample points and background sample points in related technologies , when a large number of images are segmented, the segmentation efficiency is relatively low; the effect of automatic sample selection can be achieved, and the classification accuracy and segmentation efficiency are improved.

Embodiments of the invention provide an interference-free point selection method and device for an optical switch. The method comprises the following steps of dividing channel points of the optical switch into a plurality of groups; aiming at any group, establishing a grid point matrix of the group, wherein the grid point matrix is composed of a plurality of grid points; if a relation between anyone of the grid points in the group and any one of the channel points meets a first preset rule, adding the channel point into a channel point set of the grid point; based on the size of the channel point set of each grid point in the group, selecting the to-be-matched grid points of the group; and aiming at all the groups, if a relation between the to-be-matched grid points of every two groups meets a second preset condition, taking the to-be-matched grid points of each group as interference-free points. According to the method and the device provided by the embodiments of the invention, automatic selection of the interference-free points of the optical switch is realized; the selection rate and the accuracy rate of the interference-free points are improved; and the condition is providedfor the optical switch to realize efficient and accurate interference-free channel switching.

The invention discloses a method for generating low-cost adversarial network attack samples based on GAN, comprising: step 1, encoding the attributes and labels of the samples in the sample set; step 2, calculating information gain according to the attributes of the encoded samples; 3. Adversarial example generation model training; step 4, generating adversarial examples for attack. Based on the basic idea of ​​GAN, the present invention can realize the automatic selection of disturbance features by calculating the attributes, labels and information gain training models of samples, and generate efficient adversarial network attack samples at the minimum cost.

The present invention generally relates to a set of early developmental reference data or “lineage scorecard” for stem cells, and methods, systems and kits to generate a lineage scorecard for predicting the functionality and suitability of stem cell lines. In some aspects, methods for generating a scorecard comprises measuring the gene expression of a plurality of early developmental genes, such as pluripotent, early ectoderm, early mesoderm and early endoderm genes to predict the pluripotency and differentiation potential of the stem cell line and its functionality and / or suitability for a desired use. In some embodiments, a reference scorecard can be compared with the test stem cell line scorecard to accurately predict the utility and / or identify specific characteristics of the stem cell line, e.g., to determine its suitability for downstream applications, e.g., therapeutic use, drug screening, toxicity assays, differentiation into a desired cell lineage, etc.

The invention discloses a drilling tool selection method. The method comprises the following steps: obtaining a number of needed drilling tools and a number of stocked drilling tools, and comparing the number of needed drilling tools with the number of stocked drilling tools; if the comparison result indicates that the number of stocked drilling tools is greater than or equal to the number of needed drilling tools, extracting drilling tools from a drilling tool magazine; if the comparison result indicates that the number of stocked drilling tools is smaller than the number of needed drilling tools, buying drilling tools to supplement the drilling tool magazine. According to the drilling tool selection method, the drilling tool selection correctness and efficiency can be improved, the drilling tool selection automation can be realized, the production efficiency can be improved, the artificial participation in the production process can be decreased and the workload of the workers can be decreased. Moreover, the invention provides a PCB hole drilling system which adopts the drilling tool selection method and is high in hole drilling efficiency and correctness.

The invention discloses a mirror image source management method, a resource downloading method and a computing device. The mirror source management method of the present invention is executed at the server, and can generate a recommended mirror source set according to the working status of each mirror source. When the user has a resource download requirement, the server sends the recommended image source set to the user's terminal device, and the terminal device selects the best ones for its current environment from the recommended image source set without manual participation in the selection. As the target mirror source, the mirror source requests resources from each target mirror source respectively, so as to realize automatic selection of mirror source and distributed download of resources, improve download efficiency, and enable users to complete system and application updates quickly and efficiently.