249results about How to "Ensure comprehensiveness" patented technology

The invention discloses an intelligent word-group input method in input system, including get the portfolio information between at least two basic words from the pre-set internet corpus, which including the combination relationship and adjacent same frequency of (the least two) words; generate multi-table according to the portfolio information; receive the user input encoding string, and segment the encoding string; get the combination information in the multi-table according to segmentation string, and extract the words with the corresponding relations in combination information as the candidate words. The invention can improve the first selected words hit rate of user input words, phrases, short sentences or long sentences to avoid ineffective repeat calculation process to improve the efficiency of the user input.

The invention discloses an emotion analysis method which aims at network microblogs. The emotion analysis method which aims at the problem that in the traditional emotion analysis, expression of diversification emotion of emergencies is not enough is based on a multi-dimensional vector representation model. The emotion analysis method comprises extracting emotional words in combination with a clinical psychological emotion detection table and initializing emotion analysis vectors; automatically finding the network new words in the microblogs through a method which is based on large-scale corpuses and statistics, automatically absorbing the network new words and emotional identifiers which can express emotion, continuously expanding the emotion vectors and setting a gradational structure of the emotion vectors; performing multi-dimensional emotion analysis and timing sequence analysis on the microblogs based on an existing vector model.

The invention belongs to the technical field of information, and provides an application software cloud testing system. The application software cloud testing system comprises a task submission subsystem, a task scheduling subsystem and a task execution subsystem. The task submission subsystem is used for testing test tasks submitted by testing personnel, the test tasks indicate the types of the test tasks, and the types of the testing tasks comprise compatibility testing, performance testing, and function testing or quality testing of application software. The task scheduling subsystem is used for conducting task scheduling according to the test tasks submitted by the task submission subsystem. The task execution subsystem is used for executing the test tasks according to the task scheduling condition of the task scheduling subsystem and collecting and generating corresponding testing reports according to the types of the testing tasks. According to the application software cloud testing system, based on the characteristics of the application software of a mobile terminal, testing content of four different types can be supported simultaneously, and therefore the comprehensiveness of the cloud testing result of the application software is guaranteed.

The invention discloses an information system risk assessment method based on multi-factor fusion. The method comprises the following steps: the first step: establishing an information system risk assessment system which comprises a risk assessment result library module (12) and further comprises a risk assessment module (2), a security detection data acquisition module (13), an assets investigation module (8), a questionnaire survey module (9), an assessment library module (11) and an assessment template module (7), wherein the assessment template module (7) is connected with the risk assessment module (2); the second step: determining risk assessment factors; the third step: determining the fusion relationship of the risk assessment factors; the fourth step: performing the risk assessment, wherein the risk assessment refers to the asset assessment, the threat assessment, the vulnerability assessment and the risk calculation. The method achieves the effect of centralized analysis and handling of various security detection results, ensures strong applicability of the system and comprehensive factors for risk assessment, establishes the asset-security threat-security frangibility fusion relation, and ensures remarkable causal relationship of the assessment factors.

The invention relates to a distributed IPTV service transmission quality monitoring method, and the method is used for monitoring the quality of IPTV service flow carried by a large-scale IP network and influence of the network on the IPTV service flow. The invention adopts a central server and a plurality of IPTV service quality monitoring instruments, a bypass for network data is provided at the access end of an IPTV service quality monitoring instrument, a packet-grabbing analysis of network data is performed in the situation that the network is assured to be run normally; data having important reference sense to the quality of the IPTV service is found out through processing and analyzing bulk information; the central server and the IPTV service quality monitoring instruments are communicated with each other through a network protocol capable of realizing semantic analysis, and safety of the transmission of information can be assured by adopting an information safety assuring system; network fault generating points and bottleneck points of network performance can be identified intelligently through the analyzing of monitored data, and corresponding solutions can also be provided.

The invention discloses a lane line extraction method, apparatus and system, relates to the technical field of traffic, and mainly aims to improve lane line extraction precision and efficiency. The method comprises the steps of collecting a measureable real scene road image; by analyzing the measureable real scene road image, constructing a grid dynamic window-based lane identification region of interest, and performing lane line edge detection on the lane identification region of interest; and extracting lane lines according to lane line information obtained by detection and a lane line extraction model subjected to line fitting correction in a preset lane. The lane line extraction method, apparatus and system is suitable for measureable real scene road image-based lane line extraction.

The invention discloses an industrial Internet edge calculating device which comprises a connecting layer, a sensing layer, an analyzing layer, a control layer, a predicating layer, a data lake and adata service gateway. The connecting layer is used for establishing a protocol controller, converting data pump original data to a data message and forming an equipment driver which is introduced andled out by a data pump. The sensing layer is used for defining a sensing condition and establishing a triggering action response event. The analyzing layer is connected with the data pump, analyzes real-time original data which are acquired by the connecting layer and generates an analysis result event. The control layer is used for acquiring an abnormal action response event and adjusts an operation parameter of industrial equipment which is connected with a bus. The predicating layer is connected with the connecting layer, establishes an equipment fault predicating model through a deep convolutional neural algorithm, acquires the original data and outputs a control suggestion event. The data lake stores data messages, alarm events, analysis result events and control suggestion events. The invention further discloses a realizing method of the industrial Internet edge calculating device.

The invention discloses a test data generating method and a test data generating device. The test data generating method comprises the following steps that the preset test data definition information is obtained, and fields contained in test data to be generated are determined; further, relevant fields to be generated are determined according to the relevant definition information in the definition information of the test data, wherein the relevant fields are data fields with the relevant relationship with external data; the external data is read, and the relevant field data value of the test data is generated according to the content of the external data; and the nonrelevant field data value of the test data is generated by a random method. When the technical scheme disclosed by the invention is applied, the data fields relevant to the external data can be fully considered in the data generating process, so the relevant relationship among data is ensured, and the test requirement of a complicated system is met.

The invention provides a firewall system. The firewall system comprises firewall engine modules, one firewall engine module is arranged on a user terminal and used for capturing a data packet or a course of an application program which is executed by a user, the data packet is received by the user terminal from the internet, the firewall engine module can determine interception or releasing according to a part of firewall rules which the firewall engine module has, upload non-deterministic data packet or application program course information to a security platform server and execute interception or releasing according to a result returned by the security platform server; and the other firewall engine module is arranged on the security platform server and used for determining interception or releasing of the non-deterministic data packet or application program course information uploaded by the user terminal according to all firewall rules which the firewall engine module has and returning a determined result to the user terminal. The firewall system is suitable for user terminals of television, mobile phone, personal digital assistant (PDA) and the like which are difficult to install a complete firewall rule base.

The invention discloses a non-destructive testing device for reinforced concrete bridge steel bar corrosion. The non-destructive testing device drives a connection bracket to move through a transmission trolley, a guide rod is arranged on the connection bracket, testing equipment capable of sliding is arranged on the guide rod, and the testing equipment and the guide rod stretch to the lower end surface of the bridge through the connection bracket. The invention also provides a non-destructive testing method for reinforced concrete bridge steel bar corrosion based on the device. The invention has the beneficial technical effects that a new bridge testing device is provided, which enables the testing equipment to finish the bridge testing operation in a posture of getting close to the lower end surface of the bridge; the testing precision and accuracy are relatively high, and the structure is simple and convenient to control.

The invention discloses a character string retrieval method and system. The method comprises the following steps: retrieval information input by a user is received; characters of a character string in the retrieval information are converted into Pinyin one by one, and the similar pronunciation collection of the characters is determined; the Pinyin of the characters and similar pronunciation in the similar pronunciation collection are input into a multi-way prefix tree for retrieval; when a node matched with the Pinyin or the similar pronunciation is retrieved, the node is recorded in the state of activation, the activation track is recorded, and after the Pinyin and the similar pronunciation of the next character enter the multi-way prefix tree, all the nodes in the state of activation are continuously retrieved till the terminal node is retrieved; keyword information stored by the terminal node on the activation track is acquired; the keyword information serves as the retrieval result to be shown to the user. Through utilizing the method, the retrieval performance can be improved under the fault-tolerant capability, and the calculation and resource occupation rate are reduced.

The invention relates to a plant fermentation feed, belonging to the field of biotechnology. The present invention discloses a plant fermented feed, which is formed by taking the grain as auxiliary materials, a mixture of several green feeds as main materials, adding microbial preservative and then fermentation. The plant fermentation feed also contains 2% -4% of premix compounds; 25%-40% of the grain, 0.5% -1% of the biological preservative; the rest as a mixture of several green feeds, wherein, the total sum of the weight of the above components is 100%. The invention has advantages of low raw material cost, simple operation, suitablity for the majority of farmers and capability of industrialization promotion. The plant fermentation feed enlarges the raw material source, extends the shelf life of fermented feed and ensures the comprehensiveness of nutrients, good palatability of the plant fermentation feed, a high rate of digestion and absorption of the feed, improved daily weight gain and meat quality, and enhanced disease resistance.

The invention relates to the technical field of big data, and relates to a big data-based policy information query pushing system and method. An ES database module collects webpage contents related toscience and technology policies on a website by using a web crawler technology; The policy original database module is used for integrating the data crawled by the web crawler according to the formsof a policy title, a policy source, a policy province and city area, a URL link and release time; The policy collecting and editing module is used for classifying and marking useful policy notification files again; The policy warehousing module is used for selectively warehousing and displaying the compiled policy data; The policy display module is used for carrying out listing display on the input policies; And the policy pushing module is used for immediately pushing policy information to the user. The defect that in the prior art, an existing policy cannot be timely, comprehensively and intensively inquired and pushed is overcome, and the purpose of quickly and effectively inquiring and pushing policy information is achieved.

The invention discloses a quality management system for stem cell production, which includes (1) environment control management, (2) tissue collection management, (3) blood sample collection, (4) tissue transferring management, (5) tissue separation management, (6) cell culture and cryopreservation management, (7) archives and database management system. Each independent function detection units is innovatively provided for a various kinds of cell detection means, and combined for the detection, so that not only comprehensiveness of the detection is ensured, but also oversight and man-made error in a single detection is avoided; inter-chamber quality control means is introduced, standardization of quality detection between detection part is ensured; each segment of the stem cell storage is divided into a plurality of independent units, independent process management and quality monitoring is executed, making the system beneficial to stabilization of the stem cell quality and avoidance of interference from human factors. The invention is capable of interconnecting each unit of information, and collectively using common database information.

The invention relates to a method of automatically generating a test data set according to the content of the program, which is characterized in comprising the following steps: (a) reading an input source program file; (b) analyzing the logical relation of the content of the program to acquire the limiting condition of the input parameter in the logical relation; (c) generating and outputting the test data according to the limiting condition. The invention also relates to a device for automatically generating a test data set according to the content of the program, comprising a file reader, a logical relation analyzer, a test data generator and a test data report device which are all connected in sequence. The invention has the advantages of fast speed of generating the test data, ensuring the comprehensiveness of the test data by analyzing the source program and generating test data, and getting the latest test data only by rerunning the device after the update or upgrade of the test requirement.

The invention provides a consistency verification method for a satellite navigation simulation model. The consistency verification method comprises the following steps: establishing a test task classification model; establishing a test task verification target system according to different attributes of the test task; determining a check object of the test task; defining task evaluation content covering comprehensively; and designing various test tasks according to models and contents involved in the evaluation contents. The invention further provides a system for verifying the consistency ofthe satellite navigation simulation model. The system comprises a satellite model, an application model, a main control station model, a measurement and control station model, a monitoring station model, an injection station model, a combined model management module, a basic module model parameter and attribute configuration module and a test task parameter configuration module. According to the scheme, a top-down simulation verification method can be provided for a satellite navigation simulation model, comprehensiveness of test tasks is guaranteed to the maximum extent, and a verification result can be directly used for optimization and upgrading of a Beidou engineering system.

The invention discloses a K distribution and texture feature-based SAR (Synthetic Aperture Radar) image segmentation method, which belongs to the technical field of image processing. The segmentation method comprises the following steps: intercepting category C training samples on an SAR image to be segmented; intercepting 100 training samples of 9*9 at a feature region; extracting feature parameters of the training samples by using a K distribution statistical model and a gray scale co-occurrence matrix; arranging each category of feature coefficients into a matrix, i.e., a dictionary of cth category targets; calculating the dictionary of each category of targets and arranging the dictionaries to form a global big dictionary in sequence according to the method; inputting the SAR image to be segmented, substituting each pixel point by 9*9 pixel points of a neighbor of the pixel point, and solving a feature coefficient inverse solution matrix operation of the pixel point to obtain weight a; making delta i (a), i=1, ellipsis, wherein C is a vector which only remains the coefficient corresponding to the cth category in a and enable zero setting of the rest coefficients; and calculating a residual error function and repeating the steps to obtain a segmentation result of each pixel point of the SAR image to be processed according to the fact that the minimum error function is a category label of the feature coefficients.

The invention discloses a method for preparing a rose extracting solution, rose water taking the rose extracting solution as an active ingredient, and a preparation method of the rose water. The rose extracting solution is prepared by the following steps: taking rose as a raw material, performing water leaching distillation, collecting a gas phase part, condensing, concentrating and sterilizing. The method for preparing the rose extracting solution comprises the following steps: treating the raw materials, performing water leaching distillation and sterilizing. The rose water which takes the rose extracting solution as the active ingredient comprises 2-5 weight percent of rose extracting solution, 0.01-0.03 weight percent of flavoring agent and the balance of purified water; and the method for preparing the rose water which takes the rose extracting solution as the active ingredient comprises the steps of adding the rose extracting solution into water to be prepared according to a formula weight ratio, uniformly mixing, and sterilizing to obtain target rose water. By the adoption of the water leaching distillation, comprehensiveness of contained substances is guaranteed, and components of aroma volatile oil are kept; and moreover, the rose water is clean in aroma and elegant in taste, contributes to relieving the emotion, improving the internal secretion and relieving the feeling of fatigue without adding any coloring matter and preservative, is safe to drink, and is safe and reliable.

The invention provides a method for producing a biological organic fertilizer from Avermectins waste slag. The method comprises the following steps: respectively carrying out independent fermentation production on Bacillus subtilis, Bacillus megaterium and Bacillus mucilaginosus; respectively adsorbing the fermented bacterium liquids with rice hull powder; mixing the three adsorbed single microbial inoculums according to a mass ratio of (0.1-8):(0.1-4):(0.1-4), and crushing to obtain a compound microbial inoculum; and treating waste slag obtained in the Avermectins production process, and adding the compound microbial inoculum which accounts for 2-15% of the total weight to the waste slag, thus obtaining the required biological organic fertilizer. The method has a simple production process, is beneficial to the large-scale production, and provides a way for the recycling of Avermectins waste slag.

The invention provides a method for generating a big data security posture map based on trusted computing. The method for generating a trusted security posture map based on a geographical map, security data acquisition and the like, the credibility of information data acquisition of a trusted network is guaranteed, and alarm information is filtered and aggregated based on an algorithm for degree of nearness; events which cannot affect the security are removed from the normal alarm, so that the security hole is avoided while the disturbance to a monitor is reduced; the authenticity of trusted security behaviors of the posture map is higher; an overall map generation trusted environment from trusted data acquisition to merging and filtering to alarm generation and posture map generation is constructed, so that the trusted security, the integrity and the authenticity of the security posture map are guaranteed, the credibility of the posture map is guaranteed, and a trusted access and display mechanism is constructed on the basis of characteristics with a protection function, authentication and integrity measurement and the like.

The invention relates to a medical instrument, discloses an inlaid digital imaging system of a gynecological endoscope and belongs to the technical field of manufacture of accessories used for electronic digital endoscope medical image workstations of vagina and intrauterine integrated diagnosis and therapy of the gynecological departments. The inlaid digital imaging system of gynecological endoscope comprises an endoscope telescope body, an LED light source and a CCD (charge coupled device) miniature digital camera, the front end of the endoscope telescope body is connected with a transparent cover, the LED light source and the CCD miniature digital camera are respectively arranged in the transparent cover, a power module and a digital signal processing module are arranged in the endoscope telescope body, the power module is respectively connected with the LED light source and the CCD digital camera, the digital signal processing module is connected with the CCD miniature digital camera, a signal output port is arranged at the rear end of the endoscope telescope pipe body, and the signal output port is connected with the digital signal processing module. The inlaid digital imaging system of the gynecological endoscope can be used for examining vagina wall, cervix uteri or even intrauterine and is wide in observation vision field.

The invention provides an interest point information processing system, which comprises an original record library, a pre-treatment system, a record library to be called, a telephone investigation platform, a coordinate calculation subsystem, a quality inspection subsystem, a finished product record library, an operation record library and an operation system error-indication mechanism. Useless information of the interest point information in the original record library is removed by the pre-treatment system, the interest point information after being removed with the useless information is stored in the record library to be called, the telephone investigation platform confirms the authenticity of each information and collects relevant information of the interest point entity including the door address, a coordinate of the interest point is obtained through the coordinate calculation subsystem, the interest point information is quality checked by the quality inspection subsystem to enter the finished product record library and then to enter the operation record library to be operated on line, and the operation system error-indication mechanism compensates the missed information and feeds back the compensated information to the original record library. The interest point information processing system solves the contradiction between the comprehensiveness and the accuracy for collecting the traditional public service information and provides a crucial link to the formation of the entire public information service industrial chain.

The invention provides a tire hydroplaning performance dynamic test experiment table and experiment method, and belongs to the field of tire mechanical property test. The experiment table comprises a base table which is provided with a combined framework, a tire contact disc, a camera and data and image acquisition equipment. The combined framework is provided with a motor and a pressurization water container. The pressurization water container is provided with a water film ejector. The tire contact disc is arranged below a tested tire. The camera is arranged exactly below the contact position of the tested tire and the tire contact disc. The data and image acquisition equipment and the camera are connected via a data line. The experiment method comprises performance tests of the tested tire under the normal state and the side inclination and side deflection states and the state of combination of side inclination and side deflection. Various working conditions of the tire in high-speed operation on dry and wet pavements under the vertical or side inclination state can be simulated, and the tire hydroplaning performance dynamic test experiment table and experiment method are used for testing the mechanical property of the tire so that improved experiment data can be provided for research and development and performance analysis of the tire.

The invention discloses a test data generation method and device. The method comprises the following steps of: generating test data preparation rules according to data categories; determining a data structure of to-be-generated test data according to a to-be-tested case; obtaining a data category corresponding to the data structure; determining the test data preparation rule corresponding to the data category in the test data preparation rules; and generating test data from source data corresponding to each test data preparation rule according to the test data preparation rule corresponding tothe test data. Through the method and device provided by the invention, the aims of providing full-dose test data ensuring the test sufficiency are realized.

The invention discloses a horizontal unauthorized vulnerability detection method and device and a computer readable storage medium, and the method comprises the following steps: traversing access requests in a preset resource library, filtering the access requests, and generating to-be-detected access requests and to-be-detected parameters of the to-be-detected access requests; generating a to-be-verified access request according to each to-be-detected parameter, and initiating access based on the to-be-verified access request; and determining whether a web application corresponding to the access request has a horizontal unauthorized vulnerability or not according to a response result generated by access. The response result used for determining whether the web application has the horizontal unauthorized vulnerability or not is generated according to the to-be-detected parameter, and the to-be-detected parameter comes from the access request, so that the access request for each function in the web application can be triggered to be detected, and the detection flexibility and comprehensiveness are ensured.

The invention provides a generator rear bearing temperature fault prediction method and system and a controller, and the method comprises the steps: obtaining the data of fan operation state parameters, and enabling the data to comprise historical data and current data; acquiring state parameters related to the temperature of the rear bearing of the generator according to the data; utilizing the state parameters to construct a generator rear bearing temperature prediction model based on an SVR model and/or a generator rear bearing temperature alarm fault remaining time prediction model based on the SVR model; and predicting the temperature of the rear bearing of the generator and/or the temperature alarm fault remaining time of the rear bearing of the generator. The method can accurately predict the temperature of the rear bearing of the generator and the remaining time of the temperature alarm fault of the rear bearing of the generator, thereby providing guidance suggestions and helpfor on-site engineers to take effective and reasonable protection measures.

The invention relates to the information collection field, specifically relates to a wechat official account data collection method and device based on a virtual machine. According to the method and the device, when the virtual machine interacts data with the internet, the virtual machine and the Quick Macro simulates operations of monitoring and downloading the wechat official account interaction data packet; the wechat official account interaction data packet is the wechat official account interaction data packet interacted by the virtual machine with the internet; after the virtual machine simulates logining the wechat, the effect is the same to login the wechat through a mobile phone; after the virtual logins the wechat, a login state is kept without losing connection; if connection is lost under a special condition, automatic login can be realized when the normal network access is recovered, the login of the wechat is stable; the collection objects are increased intelligently; the wechat official accounts can be attended automatically; the artificial attention complexity is removed; the problem of slow growth of artificial attention quantity is solved; the access is not restricted; in the login state, simulating clicking to obtain the wechat official account data is not restricted; the data obtaining completeness is ensured; the timeliness is good; the operations are simulated; and the newest data can be obtained actively and timely.

The invention discloses a student learning behavior analysis intervention method, device and system, and the method comprises the steps: receiving real-time student video data and environment data ina classroom, carrying out the preprocessing, and extracting student visual features and air composition features; merging the student behavior features and the air component features into new featurevectors, performing feature fusion by utilizing artificial neural network analysis and processing to obtain real-time feature fusion data, and storing the real-time feature fusion data in a historicaldatabase; learning and training historical database data through a neural network algorithm, and carrying out data analysis on air conditions and student states to form a normal value model; and calculating an expected value of the current air condition and the student state by combining the real-time feature fusion data, comparing the expected value with the real-time feature fusion data, judging that the real-time data is normal data or abnormal data, finishing student learning behavior analysis, and adjusting environmental data according to an analysis result to carry out intervention.

The invention relates to a brand new method for clustering Chinese texts based on network content analysis. A clustering number and an initial central point for clustering are automatically confirmed according to a density-based clustering concept, and meanwhile, a convergence criterion for the clustering number is optimized and a complex rate of a clustering algorithm is reduced, thereby being capable of confirming the clustering number and the initial central point on a whole sample base, ensuring the clustering comprehensiveness, avoiding influence of excessive personal factors on a clustering result, and meanwhile, acquiring higher clustering accuracy and efficiency.

The invention discloses a micro-Doppler estimation method for passive target motion tracking. Firstly, signal preprocessing operations such as phase error compensation, multipath signal separation, one-dimensional linear interpolation and principal component analysis are performed on an inputted CSI time sequence; then, short-time Fourier transform is used for time-frequency analysis on the obtained first principal component, a dynamic sliding window is used to solve the local maximum value and extract a continuous instantaneous energy change curve for the obtained power spectral density matrix; and a Doppler change curve after Doppler distortion correction is finally obtained. The method disclosed in the invention can be used to solve the micro-Doppler frequency shift with a sign caused by passive target movement and further realize tracking on a target trajectory and a direction; and the problem that the traditional micro-Doppler estimation method is likely affected by residual noiseand passband signal interference can be solved, and the continuity between data points on the extracted Doppler change curve can be effectively enhanced.