4964results about How to "Avoid time cost" patented technology

A system, in which information is the primary asset and in which investments may be made in information, includes multiple data stores for storing different types of a user's information. The safe, secure and properly authorized transfer of information while preserving individual privacy is provided. The system also provides for secure backup and storage, as well as for ubiquitous and nomadic access to information while maintaining the privacy of such information. A first data store includes static identification data about a user. A second data store includes moderately dynamic personal data about the user. A third data store includes dynamic demographic information data about the user. An electronic wallet can be used with the system to download selected portions of the data for use by the user. A method of use of the data includes using the data for billing out forms, providing services to the user and allowing merchants to selectively target users for sales while maintaining user anonymity.

A method and apparatus for managing, modeling, predicting, allocating and utilizing resources and bottlenecks in a computer network managing, predicting and displaying of capacity, allocating and utilizing of resources, as well as actual and potential performance-degrading resource shortages in a computer network, is provided. Specifically, exemplary implementations of the present invention provide a method, system and apparatus for calculating, detecting, predicting, and presenting resource allocation, utilization, capacity bottlenecks and availability information, in a computer network, particularly in a virtualized computer environment.

An integrated circuit layout includes dense figures and at least one isolated figure. A plurality of dummy patterns are formed to surround the isolated figure, so as to reduce the difference in pattern density of the integrated circuit layout. A transmitted light of the dummy patterns provides a phase difference of 0 or 180 degrees relative to a transmitted light of the integrated circuit layout. The integrated circuit layout and the plurality of dummy patterns are formed on a photo-mask.

The present disclosure provides a semantic understanding based emoji input method and device, and relates to the input method technology field. The method includes: obtaining a text content according to an input sequence; performing word segmentation on the text content, and extracting text features based on the word segmentation result; constructing an input vector using the text features, performing classification using an emotion classification model to determine an emotion label of the text content; based on a correspondence relationship between the emotion label and emojis of various themes, respectively obtaining an emoji corresponding to the emotion label from each of the various themes; sorting the obtained emojis of the various themes, and displaying the sorted emojis as candidate options in a client. The disclosed invention facilitates users to input an emoji, enhances emoji input efficiency, and provides users with rich and wide scope of emoji resources.

The embodiment of the invention discloses a method and device for annotating medical images. In one embodiment, the method includes the steps that at least one to-be-annotated medical image is acquired; the to-be-annotated medical images are annotated with classification information, wherein the classification information includes the classes and grades of diagnosis results corresponding to the medical images; the to-be-annotated medical images are processed through a focus area detection model trained in advance, focus areas are box-selected from the to-be-annotated medical images and the to-be-annotated medical images are annotated with focus types of the focus areas so that the to-be-annotated medical images can be annotated with the focus areas and the focus types of the focus areas; the to-be-annotated medical images with the focus areas box-selected are segmented to obtain the box-selected focus areas to form segmented images of the to-be-annotated medical images so that the to-be-annotated medical images can be annotated with the segmented images. By means of the embodiment, the purpose of reducing the manpower and time cost for annotating medical images is achieved.

The invention provides a multifunctional vacuum friction and wear testing machine, which not only can simulate special environmental atmospheres such as vacuum, radiation and corrosion, but also can conduct tribology tests in a relatively wide speed and load range by using various contact manners (ball-disc and pin-disc). The multifunctional vacuum friction and wear testing machine mainly comprises a vacuum system, a friction and wear system, a power transmission system, a control system, and the like, wherein the friction and wear system comprises a lever structure (22) used for fixing a test sample fixture (20) and capable of freely rotating in a horizontal direction and a vertical direction; the lever structure (22) comprises a cantilever beam (18) and a vertical arm (23) which are arranged in a perpendicular manner; the cantilever beam (18) is connected with the vertical arm (23) through a two degree of freedom bearing structure (17); positions of the cantilever beam (18) and the vertical arm (23) can be adjusted in the horizontal direction and the vertical direction through the control of a manipulator (15) and a hand wheel structure (13), so that the test sample fixture (20) can accurately move within two degrees of freedom; and a temperature sensor (2) and a pressure sensor (3) are mounted on the test sample fixture (20), so as to detect / monitor friction coefficients and temperature variations during the tribology tests.

A method, apparatus, system, article of manufacture, and data structure provide the ability to extract a primitive quadric surface from point cloud data. Point cloud data is obtained in 3D space. The point cloud data is segmented to create a disjoined surface and a smooth surface segment based on spatial connectivity and surface smoothness. One or more shapes are extracted from the point cloud data using geometric fitting. The geometric fitting searches for one or more quadric surface parameters of a given type of model that provides a best agreement between selected points from the point cloud data and a resultant model.

The invention discloses an urban road marker automatic sorting method based on vehicle-mounted laser scanning point cloud. The method includes: S1) a step of subjecting original point cloud data to road surface segmentation based on wheel path data to obtain road surface point cloud data; S2) a step of subjecting the obtained road surface point cloud data to binarization processing and extracting road marker points; S3) a step of clustering the road marker points and separating independent road marker targets; S4) a step of sorting large road markers and small road markers according to the dimensions of the obtained road marker targets; S5) a step of subjecting the large road markers to sorting processing based on wheel paths and road edge lines; and S6) a step of subjecting the small road markers to sorting processing based on deep learning and principal component analysis. The method rapidly and accurately extracts and sorts urban road markers, largely reduces the time and labor cost for data processing, and effectively guarantees traffic safety and intelligent drive reliability.

The invention discloses an AGV (Automatic Guided Vehicle) and a method. The AGV (Automatic Guided Vehicle) comprises a vehicle body chassis, a cargo bearing platform picking-up and conveying system, a lifting system, a rotary rotary-table system and a delivered cargo temporary storage system; the rotary rotary-table system and the delivered cargo temporary storage system are fixed to the two sides of the upper portion of the vehicle body chassis correspondingly; the lifting system is fixed to the upper portion of the rotary rotary-table system, and the control end of the lifting system is connected with the cargo bearing platform picking-up and conveying system; the delivered cargo temporary storage system comprises a plurality of layers of temporary storage racks, and each layer of the temporary storage racks is provided with a plurality of temporary storage cargo positions; and the lifting system is used for controlling the sliding height of the cargo bearing platform picking-up and conveying system, and the rotary rotary-table system is used for controlling the rotation angle of the lifting system. By means of the AGV (Automatic Guided Vehicle) and the method, operation of manual picking-up of workbins is omitted, manpower and time are saved, and meanwhile workbin picking-up efficiency and accuracy are also improved.

The invention provides a remote sensing image building extraction method and system based on depth learning which comprises the steps of sample preparation, model training, precision evaluation, building prediction, merging and vectorization. The invention also relates to a remote sensing image building extraction system based on depth learning, a storage medium and an electronic device. Based onthe improved RCF boundary constraint model, the invention extracts the urban single building contour, the rural isolated building contour and the peripheral boundary of the rural building dense group,at the same time, a U-Net semantic segmentation model network structure is improved, and the improved U-Net is utilized to classify the images at pixel level. Finally, the two models are fused, and the depth learning model is trained by a large number of building sample label data, so that the network model by fusing the improved U-Net and the RCF is used to extract the buildings on the sub-meterGao Fen 2 remote sensing images, so that the automatic and effective building vector data extraction is realized, and the time cost and labor cost of manual rendering is greatly reduced.

The invention provides a road zebra crossing automatic extraction method based on vehicle-mounted laser scanning point cloud, and relates to public traffic road zebra crossings. According to the method, global positioning system data for recording vehicle positions and tracks in real time is used for extracting a plurality of cross sections from the vehicle-mounted laser scanning point cloud data, and the road and non-road classification is realized through detecting the elevation mutation of road shoulders of the roads in the scanning line data; then, the three-dimension road data is converted into an intensity characteristic image with space distribution characteristics, the laser scanning point normal distribution characteristics are utilized for dynamically cutting the road zebra crossings, the GPS (global positioning system) track data is used again for calculating the linear morphology closed operation direction and size, and the extraction of the road zebra crossings is realized. Through the cross section subdivision on the vehicle-mounted moving scanning data, and the three-dimension road surface data detection is converted into the detection of the elevation mutation of the road shoulders of the roads in the two-dimension profile for realizing the road and non-road classification. Compared with a method of directly processing mass three-dimension data, the method has the advantages that the calculation quantity is small, and the efficiency is high.

The present invention relates to uses of resorbable medical implants that are metallic or semi-metallic, to produce soft tissues, membranous tissues, organs or organ parts within the body by fibrosis. The present invention further relates to such uses when the implants are made of specified alloys or metals, e.g. magnesium and its alloys. The present invention further relates to such uses when the implant is surface modified. The present invention further relates to such uses when the implant is pre-implanted at another part of the body before implantation into the target site.

The invention discloses an intelligent charging navigation method for an electric vehicle. The intelligent charging navigation method comprises the following steps that (1) based on a wireless networkand GPRS, a large quantity of vehicle information, road condition information and charging station information are unloaded to a control center, and excavating extraction of characteristic data is conducted; (2) extracted information data based on an objective function are analyzed and calculated; (3) minimized values of the user travel total time cost and total distance cost form the objective function, the time and capacity serve as constraint conditions, and thus an optimal charging path including the three aspects of charging resources, road traffic nets and the road condition informationis set out based on a Dijkstra algorithm; and (4) the optimal charging path is unloaded to an EV vehicle-mounted terminal and a user cell phone APP through the wireless communication network. The total time cost and the total distance cost of the electric vehicle from a charging station to a final destination can be reduced effectively, and meanwhile user travel convenience is improved.

The invention provides a crop insect disease's intelligent diagnosing system and a diagnosing method, comprising a mobile terminal and a server. The mobile terminal is provided therein with an input module, an image acquisition module, an information transmission module, a diagnosing result display module and an insect disease heads-up module. The server is provided therein with a characteristics identification module, a comparison module, a database, an online diagnosing module and a feedback module. According to the invention, a user inputs and / or acquires the insect disease information of a crop, transmits the information to the server for insect disease characteristics identification, big data based analysis, comparison and diagnosis by online experts, and then, the diagnosing information is transmitted to a mobile terminal where the diagnosing result, the prevention and treatment method as well as recommended commodity information are displayed at high precision, convenience and rapidness. In addition, further based on the inquiring information of the users, big data can be formed and fed back to the ministry of agriculture and at the same time, the system and the method are also capable of pushing the insect disease heads-up information to uses promptly so as to prompt the uses to take prevention and treatment measures instantly.

The invention relates to a satellite universal automatic testing platform and a data interaction method thereof, aims to solve the technical problem that existing satellite test equipment has poor universality and a low automation degree, and belongs to the technical field of satellite testing. The satellite universal automatic testing platform provided by the invention consists of a peripheral equipment layer, an intermediate service layer and a user terminal layer, wherein the peripheral equipment layer comprises measurement and control system automatic testing equipment, control system automatic testing equipment, CAN (Controller Area Network) monitoring equipment, plug-failure signal monitoring equipment and solar cell array simulating equipment, and is used for making a response to aremote control command of a comprehensive testing server, uploading the remote control command to a satellite, finishing signal collection of the satellite data simultaneously, transmitting a collected signal to the comprehensive testing server to perform signal processing and data storage. According to the testing platform and a data interaction way thereof, the rapid testing demand at each stageof the satellite is met; a system of satellite distribution test control and comprehensive integration management is formed, and universal and automatic satellite testing is realized. The satellite universal automatic testing platform has the advantages of high universality and high automation degree.

The invention belongs to the technical field of signal processing, and particularly relates to an electroencephalogram emotion recognition method based on a graph convolutional neural network. The electroencephalogram emotion recognition method provided by the invention comprises the following steps: firstly, constructing an emotion-related function connection mode according to the correlation between electroencephalogram channel signals; then modeling each extracted single-channel electroencephalogram feature into a graph signal based on a function connection mode structure, and establishinga graph convolutional neural network model; inputting a training set graph signal to carry out iterative optimization training on the model, and optimizing network parameters by adopting a back propagation algorithm and a cross entropy loss function; and finally, inputting a test set graph signal into the trained graph convolutional neural network, and performing classification recognition on thetiter, wake-up and dominance three-dimensional emotion model. According to the electroencephalogram emotion recognition method, the spatial and functional relationship of the electroencephalogram datais restored, so that electroencephalogram emotion features with higher discriminability can be extracted; and the channel electrode most relevant to emotion can be selected according to the channel correlation, and processing time and hardware cost are reduced while the number of channels is reduced.

An ink-jet printing apparatus for printing at least one organic material on a substrate comprises a delivering chamber, a loading mechanism, at least one ink-jet printing mechanism, a heat treatment process mechanism and an unloading mechanism. In this case, the delivering chamber has a delivering unit, which carries the substrate from the loading mechanism and carries the substrate to the unloading mechanism. The ink-jet printing mechanism connects to the delivering chamber and prints the organic material on the substrate. The heat treatment process mechanism connects to the delivering chamber and heats the substrate on which the organic material is formed. The unloading mechanism connects with the delivering chamber.

The invention provides a data quality detection method and apparatus. The data quality detection method comprises the following steps of obtaining metadata of to-be-detected data, wherein the metadata comprises N fields of the to-be-detected data and data types of the fields, and N is a positive integer; searching for at least one detection rule corresponding to each field in a pre-established detection rule library according to a preset matching policy and the data type of each field; and performing quality detection on each field according to the at least one detection rule corresponding to each field, thereby obtaining detection results of the N fields and performing display. According to the data quality detection method, the coverage rate and universality of detection can be effectively improved, the detection efficiency can be improved, and the manpower and time costs are reduced.

The invention discloses a multi-cylinder hydraulic antifriction bearing taper crusher, which comprises a lower machine frame, an eccentric sleeve mechanism, a transmission set, a movable tapper, an upper machine frame set and an iron passing and cavity clearing device. The upper machine frame set is arranged above the lower machine frame, the transmission set and the eccentric sleeve mechanism are both installed on the lower machine frame, the transmission set is connected with the eccentric sleeve mechanism where the movable tapper is arranged, the iron passing and cavity clearing device is directly installed on the lower machine frame and the upper machine frame set, the eccentric sleeve mechanism adopts an antifriction bearing type eccentric sleeve mechanism, the iron passing and cavity clearing device adopts a relief valve type iron passing and cavity clearing device, and a movable tapper body rotating-proof device is connected to the bottom of the movable tapper. The multi-cylinder hydraulic antifriction bearing taper crusher improves crushing efficiency and output of the taper crusher, and prolongs service life of a machine, reduces using cost of equipment. The iron passing and cavity clearing device can not only bear higher working pressure of a system, but also be safe and reliable, convenient to assemble and capable of controlling a tapper body to rotate according to certain direction, thereby improving production efficiency and saving energy.

The invention discloses a road marking automatic detection and classification method based on a mobile laser scanning point cloud. The method comprises the following steps: S1, performing pavement segmentation on original point cloud data to obtain pavement point cloud data; S2, performing intensity correction on the pavement point cloud data by use of an incident angle; S3, performing binary processing on the pavement point cloud data, and extracting road marking points; S4, segmenting the road marking points to separate mutually independent road marking targets; S5, calculating feature parameters of the road marking targets; and S6, by use of the feature parameters, constructing a decision tree, and classifying the road marking targets. The method can rapidly and accurately perform automatic detection and classification of road marks from the mobile laser scanning point cloud, greatly reduces the data processing time and the labor cost, and effectively guarantees the traffic safety and the reliability of intelligent driving.

The present invention relates to a radar target image detection method based on Precise ROI-Faster R-CNN, and belongs to the technical field of radar signal processing. Firstly, the radar converts echo data information into an image and constructs a training data set; then, a Precise ROI-Faster R-CNN target detection model is established and comprises a shared convolutional neural network, a region suggestion network and a classification and regression network, and an ELU activation function, a Precise ROI Pooling method and a Soft-NMS method are adopted; inputting a training data set to carryout iterative optimization training on the model to obtain an optimal parameter of the model; and finally, inputting an image generated by real-time radar target echoes into the trained optimal target detection model for testing, and completing target detection and classification integrated processing. The method can intelligently learn and extract radar echo image features, is suitable for detection and classification of different types of targets in a complex environment, and reduces processing time and hardware cost.

The invention discloses a logistics path planning method. The method comprises the steps of setting realistic constraint conditions of a target logistics path; obtaining initial planning path information of target logistics by adopting a saving algorithm; obtaining an optimal solution of the initial planning path by adopting a genetic algorithm; and planning a logistics path according to the optimal solution of the logistics path. The invention also discloses a driver scheduling method. By applying the logistics path planning method, the driver scheduling method comprises the following steps of: obtaining preset driver constraint conditions and planning the driver scheduling according to the genetic algorithm by combining with the obtained optimal logistics path; and generating driver scheduling information. The invention also discloses a logistics path planning device and a driver scheduling device. Through the realistic constraint condition-considered logistics path planning method and driver scheduling method, the established model is more accurate and closer to the actual situation; the operability is stronger; and the transportation cost, the labor cost and the time cost, which are caused by model deviation, of enterprises are reduced.

The invention provides a rapid preparation method of carbon quantum dots. The rapid preparation method comprises the following steps: dispersing a carbon source into a solvent; stirring until the carbon source is dissolved; then adding an alkaline source, and carrying out ultrasonic treatment to uniformly mix the alkali source; after heating to boil a solution, continuously heating until the solution is transformed into a sticky matter or a solid matter; then stopping heating and cooling to room temperature to obtain a solid product; dispersing the solid product into a solvent according to a mass ratio of 1 : (100 to 1000) and carrying out the ultrasonic treatment to uniformly disperse the solid product; then putting a solution in a high-speed centrifugal machine and centrifuging to obtainsupernatant, namely a solution containing the carbon quantum dots. Compared with a traditional method for preparing the carbon quantum dots, the rapid preparation method provided by the invention hasthe characteristics of simple operation method, short reaction time, moderate needed conditions and the like, and the aim of rapidly producing the high-quality carbon quantum dots in a large scale can be realized under a low energy consumption condition. The carbon quantum dots prepared by the rapid preparation method have a uniform size and the yield of fluorescent quanta is high. The method provided by the invention is suitable for large-scale industrial production of the high-quality carbon quantum dots.

The present invention is a flatbed scanner operating with a digital image capture module comprising two-dimensional (2D) optical image photo-sensor and in particular with a digital camera or digital video camera. The present invention further relates to flatbed scanners and means and methods of supporting cameras, and particularly, although not exclusively, to a flatbed scanner housing for holding a digital camera to allow the digital camera to act as a document capture device in obtaining digital images suitable for downloading to a personal computer or other computer peripherals such as a printer. The scanner incorporates an image capturing module comprising 2D image photosensor and assembly such as flash light, electronic circuit, and software inside the flatbed scanner box to function like an image capturing module where said scanner box functions like the camera body with an internal lens internal.

The invention belongs to the technical field of 3D printing, and particularly relates to a stereolithography-based method for preparing silicon nitride ceramic by 3D printing. The invention provides a composition which is prepared from silicon nitride ceramic powder, monomers, a photoinitiator, a dispersing agent, a surface modifier and a defoaming agent. The invention also provides a preparation method of the silicon nitride ceramic from the composition. In the technical scheme provided by the invention, the raw material selection and proportioning are optimized, so that the method is more suitable for producing silicon nitride ceramic. The prepared silicon nitride ceramic product has the advantages of uniform ceramic particle dispersion, high dimensional accuracy, favorable surface smoothness and higher reliability; and the method has the advantage of high preparation efficiency, and effectively lowers the time cost and manpower cost. The technical scheme provided by the invention overcomes the main technical defects of nonuniform finished product, poor sintered product dimensional accuracy and high preparation cost in the silicon nitride ceramic billet in the prior art.

The present invention provides a method for simultaneous hue phase-shifting and a system for 3-D surface profilometry, wherein a single structured-light fringe pattern with encoded multiple trapezoidal color fringes is projected on an object so as to obtain a color image having deformed fringe patterns and then a hue information extracted from a HSI color model associated with the fringe pattern is transformed into a hue phase-shifting information for restructuring the 3-D surface profile of the object. Since the color structured light is composed of a plurality of colorful light having phase shifts with each other in spatial domain, the single structured-light pattern comprises multiple hue phase-shifting information so that the phase shifting and unwrapping can be performed by one-shot 3-D surface reconstruction process without needs of traditional conventional phase wrapping and Euler's transformation procedures such that the efficiency of phase shifting and 3-D surface measurement can be improved.

The present invention provides a method and system for processing email attachments. The method includes determining that a local file is attached as an email attachment in the email; creating a corresponding relationship record of the email attachment and the local file; determining that the email attachment is modified; and replacing the local file with the modified email attachment according to the corresponding relationship record automatically.