38results about How to "Expand the scope of the data" patented technology

The invention relates to a big-data analysis system. According to the system, various data collection manners can be utilized to collect data; an encrypted data signal is formed by the collected datathrough encryption processing; the encrypted data signal is transmitted to a data storage module through a data transmission module; the encrypted data signal is transmitted to a data analysis serverby the data storage module; and in the data analysis server, firstly, the encrypted data signal is decrypted through a data decryption module, detection, marking, classification and analysis are sequentially carried out on a decrypted data signal through a data detection module, a data marking module, a data classification module and a data analysis module, then a data analysis result is obtained,the data analysis result obtained by the data analysis module is evaluated through an evaluation module, and finally, deviation correction is carried out on an unqualified data analysis result through a correction module. Accuracy of the big-data analysis system is improved.

The disclosure provides an interface prototype data generation method and computer equipment. The method comprises following steps: loading business model data of an enterprise, wherein the business model data comprises a data model, a product model, a process model and an interface experience model; establishing a first constraint relationship between the data model and the process model by checking the data entities establishing a second constraint relationship between the product model and the process model by checking the customer-product-channel CPC adaptation model; generating interface prototype data according to the data model, the product model, the process model, the first constraint relationship, the second constraint relationship and the interface experience model. According to the method and equipment of the disclosure, flow model data is introduced during the process of interface prototype data generation, and constraint relationships are built up between the flow model and the product model and the data model, which substantially improve the accuracy of data expression of interface prototype for relative business model data.

This disclosure relates to techniques for supporting wireless communication using an anchor carrier and data carriers. A wireless device may attach to a cellular network via an anchor carrier. The wireless device may receive data transfer scheduling information from the cellular network via the anchor carrier. The data transfer scheduling information may indicate a data carrier on which data transfer is scheduled. The wireless device may receive data for the data transfer via the data carrier.

The invention discloses an elastic scaling method based on load regression prediction in a cloud environment and a readable storage medium, belongs to the field of elastic scaling of computing resources, and aims to solve the technical problem of how to predict the user load in the next time period and reasonably adjust the computing resources of a user according to the load. The method comprisesthe following steps: acquiring historical data of normal operation of a user service in a period of time, and constructing a training data set; based on the training data set, training a regression model, calculating the load of the next moment through the trained regression model, training a linear model between the calculation resource usage amount and the load, and calculating the calculation resource usage amount of the next moment through the trained linear model; and optimizing the user cost by taking the computing resource usage amount at the next moment as a limiting condition to obtain a computing resource configuration target solution set, rearranging the computing resource configuration target solution set and the computing resource configuration current solution set, calculating to obtain a difference, and selecting a proper horizontal telescopic mode or vertical telescopic mode based on the difference.

Embodiments of the invention provide an information search method which is applied to search services. The method comprises the following steps: receiving website information added on a user terminal, creating self-defined search engines corresponding to the website information and classifying the created self-defined search engines; receiving an information search request from the user terminal, extracting a keyword in the information search request, determining whether a self-defined search engine agreeing with the text type of the keyword exists or not, and sending the keyword into the self-defined search engine agreeing with the text type of the keyword to search so as to obtain a search result when the self-defined search engine agreeing with the text type of the keyword exists; returning the search result to the user terminal. According to the information search method, the search process has stronger pertinence and the search result agrees with the user expects better.

A storage controller changes a block size to carry out a shredding process. A data shredder uses a large block size set by a block size setting part to write shredding data in a storage area of a disk drive and erase data stored therein. An error arising during the writing operation of the shredding data is detected by an error detecting part. When the error is detected, the block size setting part sets the block size smaller by one stage than the initial block size to the data shredder. Every time the error arises, the block size used in the shredding process is diminished. Thus, the number of times of writings of the shredding data is reduced as much as possible to improve a processing speed and erase the data of a wide range as much as possible.

The invention discloses a data analysis system. The data analysis system comprises a data acquisition subsystem, a data storage subsystem, a data processing subsystem, a data analysis subsystem and a data presentation subsystem. The data acquisition subsystem is used for acquiring data and transmitting the data to the data storage subsystem; the data storage subsystem is used for storing the data acquired by the data acquisition subsystem; the data processing subsystem is used for cleaning, converting, extracting and calculating the data in the data storage subsystem; the data analysis subsystem is used for carrying out statistical analysis and deep mining on the data processed by the data processing subsystem; the data presentation subsystem is used for presenting the data processed by the data analysis subsystem in the form of tables or images or characters. According to the data analysis system, the data is acquired, stored, processed and analyzed, then the analyzed data is presented to a user in the form of characters or images or tables or the like, the purpose of data integration is achieved, and fastness and visualization are achieved.

The invention discloses a seven-class skin tumor detection method applied to Web, which combines the weight of a model with a Web end based on a model migration technology taking Tensorflow as an intermediary agent, so that the model can normally and quickly run in a browser environment familiar to a user, and meanwhile, a model result is visualized. The model uses an optimized Inception-ResNetV2classification network to propose a skin tumor classification method for skin tumor images. Seven types of skin tumors can be detected through the method so that the ideal effect is achieved, and doctors can be effectively assisted in diagnosis. According to the Web end development method for detecting the seven types of skin tumors, the process of detecting the skin tumors is simplified, the obtained probability result is responded to the client browser, rendering visualization is conducted through the browser, and therefore a doctor and a patient can obtain the detection result in real timeonly by simply operating the Web end.

The invention discloses a method and a device for replaying a disk service, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: loadingbackup service data of a to-be-replayed service in each time period to a local database; determining the service data of a corresponding time period after loading is completed, and reading the servicedata of the corresponding time period from the local database through a section program; and according to the read service data of the corresponding time period, executing the operation of the reframing service according to the service logic of the to-be-replayed service. The difference between the duplication system logic and the original system logic during duplication can be reduced, the duplication system logic is consistent with the original system logic without clone service, the accuracy of system logic restoration and the reliability of a duplication result are improved, the difficulty of system duplication is greatly reduced, the data preparation work before duplication is omitted, a lot of time is saved, the data access speed is increased, and the system duplication efficiency and the overall performance of duplication are improved.

The invention relates to a vector data processing method in a WebGIS management system. According to the vector data processing method of the WebGIS management system, a coordinate system in the WebGIS management system is determined through a reference surface and map projective parameters; a data ellipsoid is a WGS84 (world geodetic system 1984) ellipsoid, namely, a geocentric coordinate system, which is a plane coordinate system in units of meters; projection transformation is performed in the last step; a scale larger than or equal to 1: 500,000 or a BJZ54 (Beijing 54) coordinate system is utilized. The vector data processing method in the WebGIS management system has the advantages that the projection mode has no angle change, no obvious length change and no obvious area change, avoids negative value of the abscissas and has a relatively large data range.

The embodiment of the invention discloses a contact person information processing method and device, a computer device and a readable memory medium and is used for improving the accuracy of an estimation result for an object expected to be contacted by a user in a process of preferentially recommending contact person information. The method provided by the embodiment of the invention comprises the steps of recording latest contact person information of a first communication application, wherein the latest contact person information comprises a first identity identifier of a latest contact person of the first communication application in the first communication application; searching a corresponding second identity identifier of the first identity identifier in a second communication application according to an identity identifier corresponding relationship; and preferentially displaying first communication selection information corresponding to the second identity identifier in the second communication application, wherein the first communication selection information is used for selecting the contact person corresponding to the second identity identifier as an object with which a user of a terminal communicates through the second communication application when a selection instruction for the first communication selection information is received.

The invention discloses a positioning method and a positioning device based on drive test frequency spectrum data and a storage medium. The method comprises the following steps: acquiring drive test frequency spectrum data acquired at a plurality of sampling points; acquiring preset positioning demand information; extracting corresponding personalized signal data from the drive test frequency spectrum data based on the preset positioning demand information; determining a to-be-positioned area; obtaining a preset optimization solving rule; and analyzing the personalized signal data in the to-be-positioned area based on the preset optimization solving rule to generate a positioning result. Positioning is carried out by directly adopting the drive test frequency spectrum data, and the accurate positioning result is determined through the optimization solving rule, so that the positioning difficulty is effectively reduced, the positioning accuracy and the positioning efficiency are improved, and the actual positioning requirement is met.

The invention provides a road design environment exploration vehicle and a use method thereof, and relates to the technical field of exploration vehicles. The road design environment exploration vehicle comprises side plates, wherein the two side plates are fixedly connected through a first connecting rod; a first connecting block is fixedly arranged on the upper surfaces of the two side plates; a spring is fixedly connected onto the upper surface of the first connecting block; a first connecting plate is fixedly arranged at the upper end of the spring; a second connecting plate is fixedly arranged on the upper surface of the first connecting plate; a rotating assembly is arranged in the second connecting plate in a rotating matching way; one end of the second connecting plate is fixedly provided with a distance measuring instrument through a second connecting rod; one end, far away from the distance measuring instrument, of the second connecting rod is fixedly provided with a survey camera; and a connecting shaft penetrates through one end, far away from the survey camera, of each of the two side plates. The multi-angle rotating effect is achieved by changing the rotating angle of the survey camera, so that the survey data range is expanded; meanwhile, the labor investment is reduced; and the survey efficiency is improved.

The invention discloses a track type inspection robot for an electric power system, which comprises an inspection robot, an inspection track and a main control center; the inspection track provides a moving track for the inspection robot; the main control center is in communication connection with the inspection robot and is used for monitoring the running state of the inspection robot in real time and analyzing and storing data information acquired by the robot; the inspection robot is hoisted on the inspection track, the inspection robot comprises a driving module, a clamping module, a direction adjusting module and a detection module, the driving module is used for driving, the clamping module is used for adjusting the clamping force between the track and the robot, the direction adjusting module is used for adjusting the position and direction of the detection module, and the detection module is used for detection. The track type inspection robot has the beneficial effects that the detection module can freely move in the front-back direction, the up-down direction and the left-right direction, the detection range is wide, the running state of the robot is detected in real time, the friction force between the track and the driving wheels is automatically adjusted in the working process, and the slipping phenomenon is avoided.