937results about How to "Guaranteed operating efficiency" patented technology

This invention discloses a flash file system management method, which comprises the following steps: to divide the flash memory into FAT area and data memory area; to establish the space mapping form and to write the data block of each file into the block; to write the new file ID, block number, file researching number into the record; then to orderly write each data block into the spare block and to write each data block number into relative positions of the space mapping form; only to operate the file data memory area when updating file data; to identify the place of the data to be read when reading the data for searching the data block.

The invention discloses a framework and a tool for designing a cross-platform 3D interface, which are mainly used for developing the large screen 3D man-machine interactive interface. The tool comprises a system kernel capable of invoking systemic functions in a cross-platform way, wherein the kernel supports main system functions of a present mainstream platform, and can carry out self check to find difference among the system functions of different operating systems so as to provide quick guide and functional guarantee for transplantation of a user. The framework and the tool have the characteristics of: supporting a cross-platform high-efficiency data structure, and providing high-efficiency data management and query for designing complex application; supporting an optimized 3D graphical interface engine special for an embedded system, providing simple and convenient 3D design environment for designers and providing guarantee for performance of the 3D application; and supporting interface design frameworks of 2D, 2.5 D and 3D graphical interfaces, integrating process from the user interactive interface to processing of procedure data and to terminal graphical display, reducing workload of the designers and providing a standardized template of the procedure. The framework and the tool make the designed 3D interface quickly adapt to hardware platforms, reduce software development cycle, and improve the development efficiency of research personnel.

The invention discloses a multilayer quotation recommendation method based on a literature content mapping knowledge domain, and belongs to the field of information recommendation and intelligent information processing. The method comprises the following steps: firstly, obtaining the query requirement of a user, wherein the query requirement consists of the key words of the title and the digest of a thesis which needs to recommend a quotation thesis or quotation literature; then, on the basis of the literature content mapping knowledge domain, expanding and querying a retrieval word, wherein the mapping knowledge domain consists of the research object word and the research behavior word node of the literature, and edges which express various semantic relations including synonymy, synonym, an up and down position, part-whole, juxtaposition and the like; and finally, constructing the inverted index of the literature in a data set, selecting a candidate quotation, calculating the similarity between the candidate quotation and query, and adopting a gradient progressive regression tree to carry out quotation recommendation. The method carries out multilayer quotation recommendation on the basis of the literature content mapping knowledge domain, enlarges the range of the candidate quotation, accurately expresses the research object and contents of the thesis, improves efficiency for users to obtain a relevant literature and has a wide application prospect.

The invention discloses an application management method based on a micro-service architecture. The method comprises the steps of tactical application-oriented micro-service technology architecture design, lightweight micro-service operation support environment construction, tactical environment-oriented micro-service reliable management technology and information service whole-process dynamic operation and maintenance. According to the invention, a leading-edge micro-service architecture is introduced for application management, a tactical-level service system is split into loosely-coupled and finer-grained service units; based on the application system deployment mode based on the micro-service framework, the method has the advantages of easiness in development and maintenance, quicker starting, easiness in local modification and deployment, telescopic deployment as required and the like; the application system support environment construction based on the micro-service is realized,the military application requirements for light weight and rapid deployment of the tactical environment are met, meanwhile, the project studies reliable management of the micro-service for the battlefield environment, and application operation and maintenance management with higher reliability is achieved through optimization technologies such as high-availability management, load balancing, service fault tolerance and call tracking.

The invention relates to a hybrid flow shop scheduling method, which comprises the following steps of: dividing parts into multiple part sets based on different part families of the required parts; establishing a new batch for each part and performing batching based on the volume of a thermal treating funnel; after the batching, making a serial number for each batch and a machine, and encoding at each stage, wherein each stage comprises two sections of chromosomes, the first section of chromosome is a batch number, and the second chromosome is a machine serial number corresponding to the batch number; generating chromosomes at random when a user meets the conditions restricted by the machines; selecting N chromosomes, carrying out a pairwise cross operation on N selected chromosomes, carrying out a mutation operation on each chromosome, and then repairing the chromosomes; and repeating the steps of selection, cross operation, mutation and repairing till the maximum number of iterations is reached. With the method, the problem of a hybrid flow shop where the assembling affects the batching in the parallel batch processing phase can be solved, and the algorithm operation efficiency can be ensured.

The embodiment of the invention provides a webpage processing method, device, terminal and storage medium. The method includes: the parent application acquires the sub-application; and obtains the service domain name configured in the sub-application; creating a web view component of the sub-application in a parent application, and displaying, in a page frame of the sub-application, a webpage of the service domain name carried by the network view component; receiving data sent by a webpage; the data is sent to the sub-application, and the data is used by the sub-application to call a corresponding sub-application interface to update the web page.

The invention discloses a big data task scheduling system and method. The big data task scheduling method comprises the following steps that: a task configuration module acquires a task configuration command, and configures a task parameter according to the task configuration command; a task scheduling center node generates an executable task according to the task parameter, performs statistics to obtain the number of tasks running on the task running node and a data source, and controls a concurrency degree of the tasks according to the task number and a preset threshold value, so that the task number is small than the preset threshold value; and task distribution is performed when the concurrency degree of the tasks is in a preset threshold value range and satisfies dependence, and the task running node runs the executable task allocated by the task scheduling center node. In the method, the concurrency degree of current tasks is obtained by statistics, and whether the number of run tasks exceeds the preset threshold value or not is judged to determine whether to continue issuing the executable task or not, so that over high system load caused by simultaneous running of excessive tasks is avoided. Through adoption of the system and the method, the concurrency degree of big data tasks is controlled, so that the running efficiency of the big data tasks is ensured.

The invention discloses an image recognition method. The method comprises the steps of obtaining a to-be-recognized image; obtaining a first image feature of the to-be-identified image through a small-scale image identification model, the small-scale image identification model being deployed in a terminal device; determining image similarity between the first image feature and the second image feature according to the first image feature and the N second image features, the second image feature being an image feature acquired by the to-be-matched image through a large-scale image recognition model; and determining an image recognition result of the to-be-recognized image according to the image similarity. The invention further discloses an image recognition model training method and device. High-quality image features are extracted through the large-scale image recognition model, efficient calculation can be carried out through the small-scale image recognition model, and therefore therecognition accuracy of the small-scale image recognition model is improved on the premise that the operation efficiency is guaranteed.

The invention discloses a reinforcing method of an application program of an Android system. The method comprises: reinforcing a key code in the Android application program by binary system flow encryption and protecting a code of the application program; comprising: analyzing a classes.dex file; positioning to a key method; performing primary encryption to obtain intermediate data; performing secondary encryption on the intermediate data; calculating a new Hash value of the dex file, and storing into a so file after the encryption; calculating to obtain new checksum and signature values of the dex file, and updating the dex file; regenerating an apk, thus finishing the encryption process. During decryption, the Hash value of the dex file is calculated, and the Hash value obtained by encryption is compared with the value in the so file; secondary decryption is performed to obtain the key code. Due to the reinforcing method, an Android source code cannot be checked by a decompilation tool, only the key code is protected by encryption, completeness of the code is protected, a static analysis is effectively resisted, the code of the Android program is prevented from being tampered, and operation efficiency of the program is ensured.

The invention relates to an inverse operation method for a lower triangle complex matrix with any order. The inverse operation method comprises the following steps that (1) a reciprocal obtaining unit is set, and is used for carrying out reciprocal obtaining operation on a diagonal element of an N-order matrix L, and outputting a matrix obtained after reciprocal obtaining operation is accomplished; (2) a multiplication and accumulation unit is set and is used for receiving the matrix obtained after reciprocal obtaining operation is accomplished, and multiplication and accumulation operation is carried out on the first element to the (i-1)th element in the ith row in the matrix; (3) a reciprocal multiplication obtaining unit is set and is used for receiving the accumulation result corresponding to the elements in the ith row of the matrix, reciprocal obtaining operation is carried out on the accumulation result, and then the accumulation result processed through reciprocal obtaining operation is multiplied by a diagonal element in the ith row so that a matrix element of the ith row of an inverse matrix L-1 can be obtained. In the whole process, a plurality of multiplication and accumulation units are used for carrying out parallel calculation. The inverse operation method for the lower triangle complex matrix with any order has the advantages that the inverse operation of the lower triangle complex matrix with any order can be achieved, and restriction caused by the number of operation units does not exist; only the design of a multiply-accumulator with one plural adder and one plural multiplier is adopted, hardware resources are saved, and operation efficiency is ensured through an effective parallelization mode.

The invention discloses a priority control method and a priority control system for passing of a tramcar at an intersection. The system mainly comprises an intersection priority control cabinet and a road traffic signal control machine. When the intersection priority control cabinet receives a priority request of a first tramcar, a route of the first tramcar is arranged and locked. When tramcars of the other lines need to pass the intersection at the same time, a driver can send a priority request with an unlocking command to ground control equipment if the phase requested by a second tramcar is located at a green light state. The intersection priority control cabinet receives the priority request with the unlocking command of the second tramcar and judges whether an unlocking condition is satisfied or not, the current route is unlocked if the unlocking condition is satisfied, a route of the second tramcar is arranged, the priority request of the second tramcar is processed at the same time, otherwise, the priority request of the first tramcar is processed. The scheme disclosed by the invention can carry out effective priority control on a circumstance that one or more tramcars pass the intersection, thereby ensuring the running efficiency of the tramcars.

The invention discloses a personalized paper recommendation method and a system thereof. The method includes the following steps: step 1, finding out heterogeneous academic network data based on the behavioral characteristics of researchers writing academic papers in the filed of scientific research, and building a training dataset according to the heterogeneous academic network data, and training as per the training dataset to obtain a ranked study model; step 2, on-line building user configuration, generating candidate collected papers interested by users, generating the result of paper recommendation based on the ranked study model according to the candidate collected papers, generating paper recommendation as per a certain manner and returning the paper recommendation to a user based on the result of paper recommendation; step 3, on-line receiving user feedback, and updating the result of paper recommendation correspondingly as per different user feedback. The method and the system effectively solve the problem of cold start at the initial stage of the recommendation system, and guarantee the accuracy and recall rate of the recommendation result.

An object is to reliably conduct cell balancing operation while suppressing deterioration of batteries and maintaining operating efficiency. When the cell balance control by the cell balancing circuit 3 is started, the system control device 30 sets an on / off device corresponding to the arm where the cell balance control is conducted to the open state; and when the cell balance control is completed, and the difference between the terminal voltage of a battery pack of the arm where the cell balance control has been conducted and the terminal voltages of the battery packs of the other arms falls within a preset allowable range, sets the on / off device, which has been in the open state, to the closed state.

The invention relates to a turbine blade laser cutting system based on machine vision and an industrial robot. The turbine blade laser cutting system comprises an industrial personal computer, a gantry type mechanical platform, the industrial robot loaded with a laser cutter at the tail end, an image acquiring module and a multi-shaft movement control module. A cutting path of a whole blade can be once obtained through matching image information of a blade to be cut with a theoretical profile curve of the blade, so that the efficiency is largely improved, and the matching precision is about 1 mm; a multi-shaft movement control card is used for driving a ball screw platform loaded with a camera to move; and the optimal image information of the blade to be cut is quickly obtained through identifying a fixed point on a blade fixture without needing to obtain the image information in real time like laser vision sensing, so that most data, optimal and image treatment operations are reduced, the operation efficiency is guaranteed, the damage of the camera in the laser cutting process is relieved, the requirement on the operation environment is lower, and the cost is lower.

The invention provides a tram priority control method considering the non-priority phase social vehicle and public transport vehicle delay increase upper limit, belongs to the field of urban traffic control, and aims at enhancing passage efficiency of trams and reducing influence on social vehicles and public transport vehicles. The increment of total people delay of each phase of each intersection is reduced as far as possible by limiting the upper limit of delay of the passing social vehicles and the public transport vehicles of non-priority phases. Firstly delay of the trams at the intersection is reduced by adjusting speed of the trams. Then a green light extension or red light early break strategy is selected to be applied to each non-priority phase by limiting the upper limit of the increment of delay of the passing vehicle of the non-priority phases so that influence on the single non-priority phase can be reduced. Meanwhile, delay caused on the regular public transport vehicles is specially considered and the increment of total people delay of each non-priority phase of the intersection is reduced as far as possible. Operation efficiency of urban public traffic can be enhanced and the healthy development of urban traffic can also be facilitated.

The invention discloses a switched reluctance motor direct instantaneous torque control method based on voltage vectors. The switched reluctance motor direct instantaneous torque control method is characterized in that sectors can be divided according to a torque characteristic curve of a switched reluctance motor, and a size of a hysteresis region can be determined in a self-adapted manner according to a torque pulsation coefficient and an expected torque; by considering a torque output capability of a conducted phase of a commutation region, real-time adjustment of a duty ratio of a voltage of every phase can be carried out according to an operation condition and a conduction rule, and the voltage vectors of the direct instantaneous torque control can be refined. The method provided by the invention is advantageous in that the realization costs are low, the sampling period can be expanded, the current pulsation and the torque pulsation can be reduced, the winding copper loss is low, and the practicability is strong.

The invention relates to an elastic inner cavity type anti-vibration pesticide box for a plant protection unmanned aerial vehicle. The elastic inner cavity type anti-vibration pesticide box is characterized in that a check valve is fixed into a water injection opening, a ball valve is arranged at a water outlet, and a liquid storage bag is arranged between the check valve and the ball valve in a connected manner. The elastic inner cavity type anti-vibration pesticide box has the advantages that the liquid storage bag is elastic and anticorrosion, gaps between the liquid storage bag and a pesticide box are filled with elastic materials, the elastic materials can be compressed when the liquid storage bag is filled with pesticide liquid and is expanded, and can be expanded when the pesticide liquid in the liquid storage bag is reduced and the liquid storage bag is contracted, the gaps between the pesticide box and the liquid storage bag are always filled with the elastic materials, the inner wall of the liquid storage bag always clings to the pesticide liquid, and accordingly the liquid storage bag assuredly always keeps being fixedly positioned in the pesticide box when the plant protection unmanned aerial vehicle shakes; the integral gravity center of anti-vibration pesticide box only can longitudinally change without transverse changing along with reduction of the pesticide liquid in pesticide application procedures of the plant protection unmanned aerial vehicle, accordingly, the integral stability of the pesticide box can be greatly enhanced, and the problem of deterioration of the flight stability of an existing plant protection unmanned aerial vehicle in pesticide application procedures due to vibration of pesticide liquid in an existing pesticide box can be fundamentally solved.

The invention discloses a transmission network planning method considering flexible supply-demand balance, which comprises the following steps: according to flexible demand and supply under differenttypes and time scales, an evaluation index of power system flexibility considering supply-demand balance being established; based on the evaluation index of power system flexibility, considering economy, reliability and security, a bilevel transmission network expansion planning model being established; based on the bilevel expansion programming model of transmission network, the transmission network being planned. The method effectively solves the problem that the discarding of renewable energy in current system is seriously disjointed with the construction of power source and the planning ofpower network, at the same time, the invention can effectively solve the problem of economical and safe transmission of renewable energy pow generation in a high-proportion renewable energy system, can make scientific and effective guidance for grid planning work, and finally realize the optimization of resource utilization and the maximization of social benefit.

The invention provides a cloud brain intelligent traffic system comprising multifunctional unmanned vehicles. The cloud brain intelligent traffic system comprises the multifunctional unmanned vehicles, roadside environment sensing devices and a cloud brain cluster control center; the multifunctional unmanned vehicles communicate with the cloud brain cluster control center through a 4G / 5G network,sends state data of the multifunctional unmanned vehicles to the cloud brain cluster control center and receive control instructions of the cloud brain cluster control center; the roadside environmentsensing devices sense the environment information of positions where the roadside environment sensing devices are located and transmit the environment information to the cloud brain cluster control center through optical fibers; the cloud brain cluster control center carries out real-time monitoring and remote monitoring on data of all the multifunctional unmanned vehicles in the intelligent traffic system and environment data sensed by the roadside environment sensing devices to form a big data database. According to the cloud brain intelligent traffic system, real-time communication and cloud control between vehicle ends and between the vehicle ends and the cloud end can be realized, so that the requirement of large-scale industrial deployment of future multifunctional unmanned vehiclescan be met.

The invention provides a bus signal priority control system and method based on real-time information interaction which can ensure accurate positioning of vehicles and ensures a bus signal priority control execution effect. A bus signal priority control unit of a center signal control subsystem comprises a GIS information storage module, a positioning information calibration module and a priority control processing module, wherein the GIS information storage module is used for storing GIS maps of city road networks and preset bus passage lines and stores latitude and longitude information of crossing test points with bus priority control applied thereto based on the GIS maps; the positioning information calibration module is used for comparing the received latitude and longitude coordinate information of buses with GIS map data of the city road networks to form calibration latitude and longitude coordinate information of the buses; and the priority control processing module, according to the calibration latitude and longitude coordinate information of the buses, determines whether to execute bus signal priority control on a crossing entrance and generates signal timing dial information for executing the bus signal priority control in real time.

The invention relates to a method for controlling flux, and relative device, wherein it comprises that: obtaining flux control parameter as system property data; comparing control parameter with preset range; controlling the sending speed of data pack via the compared result. The invention can reduce resource consumption and improve operation stability, to balance the processing ability and network bandwidth.

According to the precise elimination method for the laser point cloud noise and the redundant data provided by the invention, for an error existing in a laser scanning process, the laser point cloud data contains the noise, a point cloud denoising method based on geometrical characteristic estimation is adopted to carry out noise elimination on the laser point cloud data obtained by scanning; forthe characteristic that the laser point cloud data has a large data volume, redundant data in the laser point cloud data is eliminated by adopting a boundary-reserved adaptive point cloud simplification method; according to the invention, a k neighborhood denoising and bilateral filtering method is improved and fused, and small noise information in the model is smoothed while large outliers in thepoint cloud model are efficiently removed; boundary information of a point cloud model is comprehensively considered while point cloud simplification is carried out, boundary information loss is reduced while feature information of a physical model is reserved, and the precision and reliability of laser point cloud data after preprocessing are guaranteed.

The invention discloses a multi-parameter control system for threshing performance of a combined harvester, comprising a data collecting unit, a control executing unit and a displaying unit, wherein the data collecting unit is used for collecting each operation parameter of the combined harvester and processing the parameters and then transmitting to the control executing unit; the control executing unit is used for calculating the received operation parameters to obtain the optimal solutions of the controlled parameters, and controlling the output of the controlled quantity according to the optimal solutions; and the display unit is used for displaying the operation parameters of the combined harvester in real time during the operation. The control system disclosed by the invention uses the multi-parameter real-time control strategys to regulate various operation parameters of the combined harvester according to the variation of the field operation state of the combined harvester, thereby further ensuring the harvesting quality and ensuring the working efficiency of the combined harvester.

The present invention discloses a near-to-eye sight tracking method which specifically comprises the following steps: 1) definition and detection of watch point: according to a captured eye image and a corresponding scene graph, determining a coordinate of eye graph data and a definition and detection point in the scene graph, and then calculating a mapping relationship of eye image and scene graph; and and 2) estimation of watch point: according to a real-time obtained eye image parameter and a mapping equation obtained in the process of definition and detection, estimating a watch point position in the scene graph. The present invention further discloses a near-to-eye sight tracking system which only requires one infrared radiation source, two common cameras and one processor and fixing and connecting apparatus. According to the present invention, preprocessing for images is not needed, calculation complexity is low, no restriction is posed to head movement, the implementation process is natural and comfortable, implementation is easy, the estimation error is in the error allowable range of sight tracking application.

Disclosed is a single image super-resolution method based on identical scale structure self-similarity and compressed sensing. Firstly, the interpolation is performed for a low-resolution image and a quasi-high-resolution image is obtained; then, the quasi-high-resolution image is divided into quasi-high-resolution image blocks, vectors corresponding to the quasi-high-resolution image blocks serve as a training sample, a sample matrix is assembled, a K-SVD dictionary studying method is used for a solution and a dictionary is obtained; the low-resolution image is divided into low-resolution image blocks; by the aid of a down-sampling matrix, the dictionary and vectors corresponding to all low-resolution image blocks, an orthogonal matching pursuit (OMP) method is used for a solution, and vectors corresponding to high-resolution reconstruction image blocks; and finally, vectors corresponding to high-resolution reconstruction image blocks are assembled and a high-resolution reconstruction image is formed. According to the super-resolution method based on the identical scale structure self-similarity and the compressed sensing, additional information is added in the high-resolution reconstruction image through a compressed sensing frame, and the space resolution is improved.

The invention discloses a tracking method of self-adaptive trains in a complicated turnout state. The method includes step one, initializing track line data and loading transient voltage suppressor (TVS) data configuration information in a straight track zone Segment / track free detection zone; step two, initializing train data; step three, starting a main circulation body: reading in turnout states and TVS state messages coming from an interlock and reading in position report messages coming from a vehicle-mounted controller; step four, judging whether interlock faults exist; step five, judging whether trains are on line from a vehicle segment; step six, going through all trains in a system; step seven, judging conditions of a position report, inquiring a TVS corresponding to a train envelope in messages coming from the interlock and judging whether the TVS has endpoint logic voidance or not; step eight, inquiring the TVS corresponding to the train envelope in messages coming from the interlock and inquiring the position report of the train in messages coming from the vehicle-mounted controller if the position report exists; and step nine, finishing the main circulation body and skipping to step three.

The invention provides a page reusing method and a page reusing device. The page reusing method comprises the following steps of receiving a main page access request; sending out a common resource acquiring request to a resource library according to the main page access request; receiving and loading common resources; transmitting a query request to a main page configuration information library; receiving main page configuration information returned from the main page configuration information library; sending out an AJAX (asynchronous JavaScript and XML) request to the resource library according to the main page configuration information; asynchronously acquiring a definition of a fragment; establishing the fragment according to the definition of the fragment; transmitting the AJAX request to the fragment; analyzing request parameters in the AJAX request; sending out a private resource acquiring request to the resource library; receiving private resources returned from the resource library; loading the private resources; acquiring displaying data from the main page configuration information library; processing the displaying data; initializing the fragment; adding the initialized fragment on a main page DOM (document object model) tree; invoking an interface between the main page DOM tree and the fragment; performing information interaction between the main page DOM tree and the fragment; and responding user operation.

The invention provides a traffic flow sequence classification method based on density peak value clustering. The traffic flow sequence classification method utilizes distance variance for measuring similarity degrees of subsequences, and comprises the steps of: calculating local density of each subsequence, measuring mutual cluster degrees between sequences, and searching for a clustering center by combining the local density with sequence spacing, wherein the sequence spacing is used for measuring class separability; and classifying sequences of non-clustering center by utilizing a density value, so as to obtain reasonable groups of the traffic flow sequences, and finally output a clustering result. According to the traffic flow sequence classification method, the subsequences of the same class can adopt the same time period dividing scheme and signal control scheme, and the workload of time period division and signal optimization under a timed control strategy is reduced on the premise of guaranteeing operation efficiency of the traffic flow.

The invention discloses an indoor wallpaper laying device, which comprises a base plate; a first hydraulic cylinder is fixedly connected to the center of the upper surface of the base plate, and a lifting plate is connected to the first hydraulic cylinder through a piston rod; the upper surface of the lifting plate is slidingly connected to a Moving frame; the moving frame is rotatably connected with a wallpaper roller; behind the wallpaper roller is a glue roller; on the right side of the glue roller is a glue spraying device; between the glue roller and the wallpaper roller there is a wallpaper cut-off device. The present invention realizes the uniform and high-efficiency smearing of wallpaper glue by being provided with a glue hair roller and a glue spraying device, and is convenient for wallpaper laying; On the wall, the air bubbles between the wallpaper and the wall are squeezed out, and the glue is fully spread at the same time, ensuring the sticky quality and flatness of the wallpaper, and improving the work efficiency and quality of wallpaper laying.

The invention provides an LOD model generation method based on a linear quadtree. The method comprises the following steps: performing linear quadtree segmentation on to-be-drawn terrain, storing data of the to-be-drawn terrain in a two-dimensional array, reading information of each node in the linear quadtree from the two-dimensional array through an index, storing leaf node information of the linear quadtree, organizing terrain nodes, enabling the terrain nodes in the linear quadtree to be stored in a one-dimensional array, establishing a terrain node evaluation mechanism on the basis that a static error and a dynamic error are considered, performing crack elimination on different segmentation levels of the adjacent terrain nodes, and obtaining an LOD model based on the linear quadtree. The method is applied to a terrain simplification aspect in a computer graphics and image field, and the terrain nodes are organized by utilizing a linear quadtree storage model and through combination use of a two-dimensional filling curve; on the basis that error factors are fully considered, the node evaluation mechanism is established, and a terrain crack problem is eliminated; and terrain drawing efficiency can be obviously improved.