1405results about How to "Avoid blindness" patented technology

The invention discloses a method for loading web pages in a browser and the browser, wherein the browser is a multi-core browser, and the method comprises the following steps: receiving first requestinformation of a web page loaded by a user; obtaining the adaptation relation between the web page requested by the user and a browser core according to a preset rule; and selecting the correspondingbrowser core to load the web page requested by the user according to the adaptation relation. The invention also provides other three methods for loading web pages in the browser and the browser. Theembodiment of the invention can intelligently select each core in the browser, fully utilizes the advantages of the cores, avoids the influence of the disadvantages of the core on the web page loadedby the user to the greatest extent, further achieves the intelligent advantage complementation among multiple cores in the browser, and improves the effect of browsing the web page through the browserto a certain extent.

The invention discloses a pressure relief and consolidation synergizing prevention and control method for rock burst in a deep coal drift. According to the method, based on deep hole photographic detection and analytic processing technology, discontinuous rupture distribution of the surrounding rocks in the deep coal drift and the evolution law of abutment pressure with mining are firstly detected, the deep hole blasting depth is determined according to the detection results and the pressure generated by deep blasting is relieved, and the range and consolidation method of barrier layers of the shallow surrounding rocks around the roadway surrounding rocks are finally determined; therefore, optimal synergy of pressure relief and consolidation is realized and and the aim of prevention and control of the rock burst in the deep mining coal drift is achieved.

The invention relates to a management method of a multifile copy of a distributed file system. A copy management mechanism based on a frequency is adopted, the state of a file copy is changed according to the read-write access frequency of the file and the information trend of an access resource, and the position transference is increased / reduced and stored through the trend of the quantity of the file copy. The management method includes copy grading management, copy creating policy, copy selection and orientation, and a copy consistency maintenance method. The creating method of the file copy includes the creating initiated by the user and the creating initiated by a crunodes, and adopts a data gridding method and a policy based on the benefit drive. The orientation of the copy maps a logic file on an appropriate copy, and a copy with minimum cost and highest access efficiency is selected to be provided to the user for using. The invention has the advantages that the provided service carries on the excellent characteristics of the distributed file system, which includes loose coupling, high usability, high reliability and high cost performance.

The present invention belongs to the technical field of concrete construction and particularly relates to a design method for a mixing proportion of a self-compacting concrete mixture. The method comprises the steps of: determining a performance design target; determining mixing strength and a water-binder ratio; determining densest gradation (or a sand rate) of aggregates and void ratios of different packing states; determining the usage amount of binding materials and mixing water; determining the usage amount of the aggregates; determining the usage amount of additives; determining the actual adding amount of the mixing water; and the like. According to the method provided by the present invention, aimed at blindness of material selection during self-compacting concrete mixing proportion design in the prior art, based on a fundamental theory of particulate dense packing and a composition rule of reaching a densest packing state of solid particulate materials with different particulate diameters, a mixing proportion of different materials is determined by an actually measured densest packing state, and relationships are established between the material mixing proportions corresponding to different densest packing states and expected self-compacting performance grades of the mixture, so that the design method used for the mixing proportion of the self-compacting high-performance concrete mixture and based on a use performance as a target is constructed.

An embodiment of the invention discloses a transformer state evaluation method and system. State quantity indexes are normalized to obtain the health degree of the state quantity indexes, the subjective weight of each state quantity index is determined by an analytic hierarchy process in a fuzzy comprehensive evaluation theory, an objective weight corresponding to each state quantity is obtained by an entropy weight method and used for correcting the subjective weight to obtain comprehensive weight parameters of each state quantity index, the connection degree of each state quantity index and state classification is obtained by the aid of connection degree in a set pair analysis theory, and finally, data of evaluation results of a hierarchical index set of each unit are integrated by the aid of D-S evidence theory fusion rules to obtain state evaluation results of each sub-unit. Whether a transformer needs maintenance or not can be determined according to the state evaluation results, so that blindness of planned maintenance is avoided, and human and material resources needed by maintenance for the transformer are reduced.

The invention discloses an intelligent advertisement pushing system based on face recognition. The intelligent advertisement pushing system comprises an advertisement pushing client and a server. The advertisement pushing client comprises a plurality of advertisement machines. Each advertising machine comprises a client processing module, an advertising screen and a camera. The client processing module analyzes an image acquired by the camera, receives the control information of a server and controls the advertisement information displayed on the advertisement screen. The server is used for receiving the face information and the state information sent by the client processing module, and sending control information and the advertisements related to the information to the client processing module by analyzing the state information, forms the optimal strategy of the advertisement displayed in the advertisement screen of each region by analyzing the face information and state information received in each region in the set time, and sends the corresponding advertisement information and control information to the corresponding client processing module. The intelligent advertisement pushing system improves the advertisement conversion rate, reduces the running cost and increases the return rate of the advertisement dealer.

The method includes steps: sorting first information according to first class set, building first mapping relation between first information and classes in first class set; sorting second information sent from information source according to second class set, and building second mapping relation between information source of sending second information and classes in the second class set; based on coincidence relation between classes in first class set and classes in second class set, matching classes in first class set of building first mapping relation to first information to corresponding class in second class set, and based on second mapping relation to determine corresponding information source; pushing first information to determined corresponding information source. Based on short message (second information) sent by users to determine corresponding communication terminal of first information to be pushed, the invention overcomes blindness for pushing information.

The invention relates to the field of double dynamic license plate identification, and provides a character confidence degree-based secondary license plate identification method and apparatus for the problems existent in the prior art. The method comprises the steps of performing character identification through template matching; giving out confidence degrees of identification results; for the results with relatively low confidence degrees, performing video super-resolution processing to obtain a frame of high-quality image; and based on the image, performing secondary license plate identification through a neural network classifier. According to the method and the apparatus, a license plate confidence degree threshold Th is preset; a picture is captured from a front end and license plate locating and segmenting are performed; characters of a license plate are identified; character identification confidence degrees and license plate identification confidence degree are calculated; when the character confidence degrees are all higher than the threshold Th, a license plate identification result is directly given, otherwise, the video super-resolution processing is performed; a frame of high-quality image is obtained by utilizing time domain information; and based on the image, the to-be-identified characters are input to classifiers for performing identification according to a position relationship of the to-be-identified characters, so that a final license plate identification result is obtained.

Provided are an excavating device and an excavating method of binary system program loopholes. The excavating device is provided with a static analysis module, a debugger module, a genetic algorithm module, a test input generation module and an abnormal monitoring module which are sequentially connected and a dynamic pollution tracking module located between the debugger module and the genetic algorithm module. The excavating device is guided to generate a test case by aid of a fitness function of the genetic algorithm, the multi-objective fitness function is designed, and the test case is evaluated in view of quantification. Dynamic pollution tracking is used for identifying key bytes in input files to narrow search space of the genetic algorithm. The excavating device combines advantages of the genetic algorithm and the dynamic pollution tracking and is guided to generate the test case, so that the generated test case is strong in pertinence, generated test data are high in accuracy and efficiency, further qualitative analysis and quantitative calculation are combined, and therefore path explosion in binary system program testing based on the symbolic execution and constraint solving technology is avoided.

The invention relates to a method for processing the information of float cars under the structure of a parallel road network, which is mainly applied to the service field of the intelligent dynamic traffic information. The method comprises the steps: step 1, an SVM (Support Vector Machine) sorter is adopted to judge the matching relationship between sampling points and roads, and map match is carried out; step 2, according to map match information, a heuristic route deduction algorithm is adopted to deduce possible running routes of a car, and according to the properties of road chains contained in the routes, whether the car runs in the structure of a parallel road network or not is judged; the shortest running route or a main running route and a subsidiary running route are selectively output in different circumstances, and the reliability of average running speed information provided by the car is estimated; step 3, the D-S (Dempster-Shafer) evidence reasoning theory based on classification is adopted to merge road condition information provided by all the float cars passing by a certain road chain in a current period and consider the reliability of the road condition information in a merging process so as to obtain the mathematical expectations of the average speed and the travel time of the float cars passing by the road chain in the current period. On the basis that the data quality of the prior float cars is kept unchanged, the invention realizes the acquisition of the real-time dynamic traffic information under the structure of a parallel road network.

The invention relates to an advanced geological forecast method in the tunnel construction filed, comprising the following steps of: determining a hole prospecting proposal according to a middle or short term forecast and placing a radar antenna in after a hole is drilled to collect radar signals and determine whether any abnormal geologic body exists; if no geologic body exist, continuing construction; if geologic body exists, drilling again, placing a radar antenna in so as to collect signal and determine whether any abnormal geologic body exists; if no geologic body exist, continuing construction; if geologic body exists, drilling again and placing a radar antenna in so as to collect signals. Describing the spatial positions of the abnormal geologic bodies according to the signals obtained during the three times so as to provide operational geologic information for further processing. The advanced geological forecast method can be used in a wide exploration scope, can accurately forecast the abnormal spatial geologic phenomenon in front of an excavating face, provides reliable assurance for reducing collapse and rapid construction, is applicable to exploration of high resolution at deep underground and deep tunnel excavating face and is an uniquely feasible and effective exploration means to deep engineering in many cases.

The invention discloses an intelligent distribution network reconstruction method concerning a distributed power generation and energy storage unit. The method comprises the following steps: building a multi-target multi-constraint mathematical model for distribution network reconstruction, encoding control variables in the model, then adopting the improved NSGA-II (Nondominated Sorting Genetic Algorithm II) for solution, repeatedly calling a three-phase load flow calculation module in the calculation process, decoding individuals of all generations of population in the NSGA-II, conducting three-phase load flow calculation to the decoded network reconstruction schemes to further obtain the adaptation degree of all the network reconstruction schemes, and feeding back to the NSGA-II for optimal treatment. The multi-target multi-constraint mathematical model built in the invention can simultaneously concern the influences of the distributed power supply and energy storage unit; the adopted multi-supply three-phase forward-backward sweep method can well put the three-phase unbalance characteristic of the distribution network into consideration, and is high in computing speed; the quick NSGA with the out-of-limit rejection strategy can avoid weight setting blindness, can promptly eliminate infeasible solution and is high in computational efficiency.

A method for culturing a lean-type Huai pig includes such steps as crossing between the Huai sow as female parent and the Changbai boar as male parent to obtain the first generation sow group, crossing it with Yorke boar to obtain the zero-generation new variety and transverse crossing for 3-4 generations by selective group secondary culture molecular maker aided selection. The new variety features high port quality, rate of lean port and resistance to disease.

The present invention discloses an image description method based on a convolution cyclic hybrid model, and belongs to the deep learning field of machine learning. For text description, due to the fact that words in sentences have strong context relationships, text data can be encoded by using a language model. The image description method specifically comprises the steps of (1) extracting image characteristics; (2) encoding the image characteristics; (3) encoding image description texts; (4) training the model; and (5) generating image text description by utilization of the trained model. The image description method is widely used in machine vision and natural language processing, and new thought and solutions are provided in an image description method aspect. At present, in image description, text encoding is randomly generated, which has a certain blindness, and the effect is not good. The texts are encoded by utilization of word2Vec, the encoding problem of the description texts in image description is solved, and the defects of randomness, blindness and instability are remedied. Application ability of the image description is largely increased, and foundation is established for development of machine vision.

The invention discloses a thread for high-performance computer NUMA perception and a memory resource optimizing method and system. The system comprises a runtime environment detection module used for detecting hardware resources and the number of parallel processes of a calculation node, a calculation resource distribution and management module used for distributing calculation resources for parallel processes and building the mapping between the parallel processes and the thread and a processor core and physical memory, a parallel programming interface, and a thread binding module which is used for providing the parallel programming interface, obtaining a binding position mask of the thread according to mapping relations and binding the executing thread to a corresponding CPU core. The invention further discloses a multi-thread memory manager for NUMA perception and a multi-thread memory management method of the multi-thread memory manager. The manager comprises a DSM memory management module and an SMP module memory pool which manage SMP modules which the MPI processes belong to and memory distributing and releasing in the single SMP module respectively, the system calling frequency of the memory operation can be reduced, the memory management performance is improved, remote site memory access behaviors of application programs are reduced, and the performance of the application programs is improved.

The invention discloses an operation state control decision making method of a mine ventilation system, and belongs to a mine ventilation control decision making method. The method comprises the following steps: (1) establishing or updating a current mine ventilation system model; (2) acquiring and updating ventilation system parameters in real time; (3) inspecting the rationality of the operation state of the ventilation system; (4) adjusting and solving ventilation network air volume in the case of a given mine total air volume when the operation state of the ventilation system is irrational, and adjusting and optimally solving the ventilation network air volume if a feasible solution is not available yet; (5) determining a fan matching working condition, performing air volume adjustment and solving for gradually expanding natural air distribution on an air network according to a maximum air pressure characteristic curve allowed by the fan, and finally determining an optimal executable scheme for air volume adjustment of the mine ventilation system. A mass flow and air density double-layer iteration method is adopted in the air volume adjustment and solving, and a sensor for monitoring underground air density can be saved. Technical support is provided for keeping rational, stable, reliable and high-efficiency operation of the mine ventilation system for a long time.

The invention discloses a rolling bearing state automatic early warning method based on extraction and selection of multiple characteristics. The method comprises the steps of extracting multiple time domain, frequency domain and time-frequency domain characteristics of a vibration signal of a rolling bearing, and intelligently selecting a characteristics subset which is sensitive to the fatigue recession process of the rolling bearing and can supply complementary information by using a supervision characteristic-free selection method based on maximum correlation and minimum redundancy. The blindness of manually selecting sensitive characteristics without priori knowledge is overcome, an alarm policy is set up according to an alarm threshold value automatic establishing method, and the early damage warning of the rolling bearing is realized.

Based on considering each error existed in data received by GPS, features of roads in GIS, and artificial factors of drivers synthetically, the invention uses a method of nearest neighbor to obtain preliminary matched result in map. Accurate positioning location of vehicle is obtained from following steps: through A* algorithm finds out shortcut between two points; recovering run locus of vehicle in real time and intelligence; considering relation between fore and after as well as load condition of data of vehicle, the method carries out modification for doubtful matching points and formed run locus of vehicle. Finally, average up going speed, down going speed and average speed in mixed-use area are calculated from run locus of vehicle, and displayed on digital map. Features are: high real time and precision, without need of angular transducer etc. hardware facilities so as to lower system cost and complexity of designing system, and raising system performance

The invention relates to an online monitoring and condition maintenance management system, which is a layered and distributed data management and computer system, faces to a plurality of substation high-voltage equipment and adopts a multi-server level-to-level management system. The online monitoring and condition maintenance management system comprises an online monitoring equipment layer, a substation data network layer and a remote data center. By constructing and applying the management system, the online monitoring system is promoted to be transitioned to an all-round, networked, intelligent and comprehensive condition monitoring, diagnosis and service management system from the traditional isolated and static experimental system. The system provides a powerful technical supporting platform for overcoming periodic maintenance blindness, reducing maintenance times, reducing maintenance expenses, delaying maintenance cycle to the utmost extent, truly realizing condition maintenance for power system operation and management departments and further improving the operation rate of the equipment and the safety of power grids.

The invention discloses a cerebral palsy child rehabilitation training method based on a Kinect sensor. The method comprises the following steps: S1, acquiring skeleton point data of a child; S2, carrying out limb movement training and judging the tilting angle and uplifting angle of skeleton points of the child, wherein after the child conducts a movement, the movement of the child is captured, and the tilting angle and uplifting angle of the joint points of the head, the upper limbs and the lower limbs are judged; S3, carrying out robust interactive processing on the movement of the child; S4, connecting a game engine and sending child skeleton data obtained after robust interactive processing in the step S3 to the game engine; S5, feeding back the movement of the child in a voice mode to remind the child of non-standard movements and encourage the child to conduct standard movements; S6, estimating the progress of rehabilitation training of the child. According to the method, the movement behavior characteristics of the child in training are acquired based on microsoft Kinect, so that the cardiovascular endurance, muscular endurance, muscular force, balance and flexibility of the child are comprehensively developed.

The invention discloses a message pushing method and device, and relates to the technical field of data processing. The message pushing method and device mainly aim at solving the problems that usersaiming at the message pushing screening in different scenes in the prior art are random, or the pushing is performed through large-range message link sending, so that the pushed users have lower individuation; directionality is not realized; when the users do not click the pushed messages, the flow waste can also be caused; the click rate is lower; useless pushing is caused. The method provided bythe invention has the main technical scheme that the method comprises the following steps of obtaining user portraits of messages to be pushed; extracting attribute features in the user portraits; determining the message pushing users by combining the user screening prediction models, wherein the user screening prediction models are used for screening the users expected to have the clicking behaviors after the message pushing according to the attribute features; pushing the messages for the user. The method and the device are mainly used for message pushing.

When reproducing an image by a display apparatus having a plurality of pixels, in an average signal level operation circuit is performed an operation to obtain an average signal level which is an average level of all the pixel signals in a picture signal including a pixel signal representing information of a pixel, then, according to this average signal level, in an input signal-output brightness property setting circuit is set an input signal-output brightness property representing variations in brightness of a pixel with respect to a level of the pixel signal, then, the compensation of the picture signal is performed either to satisfy the input signal-output brightness property thus set in a signal compensation section or to allow variations in maximum output brightness of a pixel of the display apparatus according to the average signal level in a maximum output brightness adjustment circuit, so as to output the picture signal subject to compensation to the display apparatus.

The invention discloses a method for diagnosing vibration faults of a rotary machine. According to the method for diagnosing the vibration faults of the rotary machine, vibration data in various states are collected, process amount data in various states are correspondingly acquired at the same time, and therefore the vibration data and the process amount data in various typical vibration fault states of the rotary machine can be obtained. Characteristic values are extracted from the vibration data and the process amount data respectively to form characteristic value matrices, the characteristic value matrices completely describe the process varying rules of various typical faults, namely a sample matrix database of the various typical faults. On the basis, according to the method for diagnosing the vibration faults of the rotary machine, the image recognition technology is applied to the field of fault diagnosis, the defects of manual fault recognition and single characteristic quantity fault recognition in the present field of fault diagnosis are overcome through matching calculation of the characteristic value matrices, and high-accuracy automatic fault diagnosis is achieved.

The invention relates to an MTPA control method of a built-in PMSM (Permanent magnet synchronous motor) and an MTPA control system. According to the method, an optimal theoretic torque angle of stator current discrete spots and rotating speed discrete spots is calculated, a variable search zone is divided, a torque angle outputting a largest torque is searched in the variable search zone and is taken as an optimal actually-measured torque angle, binary quadratic polynomial fitting for a series of optimal actually-measured torque angles is carried out to acquire a fitting formula of an optical algorithm torque angle, a direct-axis current given Id<*> and an alternative-axis current given Iq<*> of a motor under a stator current Is are calculated according to the optical algorithm torque angle and the stator current Is and are utilized as current ring givens of the built-in PMSM. Through the MTPA control method based on variable zone search and binary quadratic polynomial fitting, higher efficiency and precision are realized.

The invention discloses a congestion control method based on ECN mechanism in the mixed network, including the following steps: extract final section of ECN feedback information of the router, computer the congestion probability according to the distribution of the congestion mask, the sender can predict the congestion via the change trend of the congestion probability and adjust the congestion control mechanism according to the prediction result. The invention deduces the congestion according to the change rule of the congestion probability, namely only when the congestion probability value shows the increase trend, the congestion can be identified, so it can avoid the instantaneous and blind determination of the network status when the independent ECN feedback is used. The prediction results of the feedback are used to control the response behavior of the TCP packet loss and can accurately eliminate the influences of the non-congestion packet loss on the TCP congestion control in the mixed network.

The invention discloses a design method of structural topology optimization based on multi-performance constraints. The method comprises the following steps: (1) creating a finite element model of a ground structure; (2) inputting multi-performance topology optimization parameters to form an optimization model; (3) initializing variables and extracting information on the ground structure; (4) analyzing mechanical properties of the structure and extracting an analysis result; (5) displaying the optimization model; (6) solving the optimization model; (7) inverting an optimal continuous structureto obtain an optimal topology structure. With the design method, a stable and convergent topological optimization structure can be quickly obtained. The design period of the structure is shortened. Working efficiency is increased. Energy is saved while material consumption is reduced.

The invention discloses an intelligent course selection recommendation method. According to the intelligent course selection recommendation method, a course map tree is established by calculating the similarity with the current student course selection page access, the similarity with the current student course grade, the similarity with the current student course selection record, recommended course selection sets respectively are obtained, then the obtained course selection sets are combined in a weighting mode to obtain the final recommended course selection set. A plurality of dimensionalities are taken into consideration, individual recommendation of courses is achieved, and blindness of student course selection is effectively solved. Existing system data of a school are utilized very well, mature collaborative filtering and the recommendation technology based on the content are utilized, and the method is easy to achieve.

The invention discloses a fuzzy rough set and decision tree-based track circuit red light strip fault positioning method. The method mainly comprises the following steps of: 1) establishing an initial decision table; 2) carrying out fuzzy discretization on continuous fault feature attributes to establish a fuzzy decision table; 3) inputting fault sample training data to obtain a reduced decision table; 4) establishing a diagnosis decision tree model; 5) inputting measured data into the diagnosis decision tree model, carrying out calculation to obtain a fault diagnosis result, inputting the measured data into a diagnosis positioning decision tree model, carrying out preliminary judgement to obtain a fault positioning result, judging faults of specific equipment by combining expert experiences, and giving corresponding fault maintenance suggestions. The method can rapidly and correctly position fault points of uninsulated frequency shift track circuit red light strip faults, greatly reduce the blindness and complexity of fault diagnosis, have relatively good rule explanation and relatively good robustness, improve the fault positioning speed and correctness and provide a new fault positioning technological means for intelligent fault diagnosis of track circuits.

The invention relates to a method for building an intelligent cleaning decision-making system for a photovoltaic power station, which sequentially comprises the steps of building a dust blocking loss calculation subsystem, building a meteorological forecast subsystem, building a generating capacity forecast subsystem and building an intelligent cleaning decision-making subsystem. On the one hand, a more accurate and more representative photovoltaic assembly dust blocking loss ratio is provided through monitoring the dust blocking loss ratio of a dynamic photovoltaic assembly array on the spot based on actual operation and maintenance demands of the photovoltaic power station so as to act as a data basis of decision making, so that the blindness in only relying on intuitive judgment of the operation and maintenance personnel of the photovoltaic power station can be avoided, and a cleaning decision is enabled to possess a quantitative calculation basis; and on the other hand, an automatic algorithm calculation mode is adopted, formulation of a cleaning decision is enabled to have timeliness, and a dynamic cleaning period with maximized profit is provided for the photovoltaic power station.

The invention discloses an order batching method based on an improved K-Means algorithm, and the method is based on data mining. The method comprises the following steps: 1, conducting vectorization of a data set and obtaining an order set X; 2, obtaining a distance threshold T1 and a distance threshold T2 through a cross-validation method; 3, using a Canopy algorithm to obtain a cluster number K and a center point; 4, using the K and the center point obtained in the previous step and the improved K-Means algorithm to conduct clustering; and 5, after obtaining a final clustering result, sorting orders according to the average arrival time of the orders of each cluster, and obtaining a result of order batching. The method can accurately batch a large number of logistics orders, so that the efficiency of sorting operation is improved and the time taken for the sorting step is reduced.