406results about How to "Implement refactoring" patented technology

The invention discloses a user-oriented information search engine system and a method. The system comprises eight modules of a search term pushing module, a user initiating search module, a user concern updating module, a primary search module, a user interest deducing module, a user concern result word segmentation module, a search word refactoring module and a secondary search module. The method includes analyzing and pushing user selectable search words, performing user initiating search, updating user concerns, executing the primary search, deducing user interests, performing word segmentation for user concern results, refactoring the search words and executing the secondary search. Accordingly, the system has the advantages of being complete in inquiring range and high in inquiring accuracy. Besides, by means of the system, the select input and automatic sequencing of the search words can be achieved, the accuracy of following inquiring results can be improved through the interactive operation, and a flexible, convenient and intelligent interactive interface is provided for the user to execute information search.

The invention relates to a method to rehabilitate waste FCC (fluid catalytic cracking) catalyst, pertaining to recovery and resource regeneration field of waste catalyst. The invention reconstructs the frameword of catalyst through the synergistic effects of inorganic acid and organic acid, to construct developed micropores-mesoporous compound pore-channel structure system during the reconstruction process, and eliminates or passivates heavy metal of the waste catalyst, so as to dramatically increase the specific surface area of the rehabilitated catalyst; the eliminating rate of heavy metal can reach 30 percent, the micro reactor activity can be improved by more than 10 percent, and the invention has comparatively higher selectivity of liquefied gas and gasoline and lower yield ratio of coke.

The invention relates to an application program installation package processing method and device, and a mobile apparatus. The method comprises the steps that an executable file in an application program installation package is obtained; the executable file is decompiled, and an intermediate file is obtained; function codes are implanted into the intermediate file; the intermediate file with the implanted function codes is recompiled and repackaged into a new executable file; the executable file in the application program installation package is replaced with the new executable file. According to the application program installation package processing method and device, and the mobile apparatus, the flexibility of the protection of the executable file is improved, and the safety of the software installation package is improved.

The invention belongs to a numerical control processing machine tool, comprising a fixed platform, a movable platform, a space parallel connection closed chain mechanism formed by the central leg and the surrounding leg of a redundancy drive device which are arranged between the two platforms and are all provided with a transmission system, a locking device arranged between the hinged saddle of the central leg and the movable platform, a gear rack transmission mechanism arranged between the redundancy drive device and the central leg and between the redundancy drive device and the surrounding leg, a working platform which can move along X direction and Y direction, and a control system. The reconstruction and fault tolerance correcting method in the operation of the machine tool is as follows: when one transmission system in any drive device goes wrong, a redundancy transmission system automatically converts; when two transmission systems in any drive device go wrong, a corresponding leg thereof is converted into a driven leg, thus leading the parallel connection closed chain mechanism to be changed from four freedom degrees into three freedom degrees so as to maintain the normal operation of the machine tool, thereby being capable of effectively improving the efficiency, safety and reliability of the hybrid machine tool, and avoiding the quality or safety accidents caused by sudden failures in the operation of the machine tool.

The invention discloses a content popularity prediction method based on depth learning under SDN architecture. The method comprises the steps that each node calculation resource and link in an SDN network to construct a reconfigurable and distributed depth learning network; the SDN network has an SDN controller and a number of SDN switch nodes; each SDN switch realizes the calculation function of a number of neurons; the neurons are connected with each other through the SDN switch link; each node in the SDN network collects space-time co-distribution data with requested content in real time and uses the data as the input of the depth learning network; a stack-type self-coder is used to carry out characteristic learning on the space-time co-distribution data; and a Softmax classifier is used to predict the content popularity. According to the invention, the reconfiguration of the depth learning network is realized based on the characteristics of programmable and global view centralized control SDN; the number of hidden layers and the nodes of each layer of neuron can be adjusted; and the method is very critical to an ICN analysis system, and can help dynamic routing and caching decisions in the system.

The invention discloses a degradable triple-modular redundancy computer system based on software synchronization, relates to a triple-modular redundancy computer control system, and solves the problem that the conventional triple-modular redundancy system is complicated due to addition of an arbitration module. The degradable triple-modular redundancy computer system consists of three same control computers, communication buses, high-speed communication buses and a power management module, wherein the synchronization information transfer and data exchange of the control computers are finished through the communication buses which are connected two by two; the control computers vote for sensor data and control operation results by using a 2-out-of-3 voting algorithm; high-frequency heartbeat monitoring signals of the computers are transferred by interconnecting the high-speed communication buses two by two, and real-time state mutual monitoring of the control computers is realized; the three control computers operate degradation programs, so the degradation operation of a redundancy system is realized; and the three control computers operate reconstruction programs, so the reconstruction operation of the redundancy system is realized. The arbitration module is not required to be added.

The invention discloses a system minimum storage regeneration code based local repair encoding method. The local repair encoding method comprises: constructing a storage structure and a generation matrix of a system minimum storage regeneration code; establishing a local repair encoding structure based on the system minimum storage regeneration code; and repairing a single-node fault, a two-non-adjacent-node fault and a two-adjacent-node fault in a repair group by adopting the established local repair encoding structure. According to the local repair encoding method, the system minimum storage regeneration code is adopted as a local code, and storage nodes store original data copies, so that the disk I/O expenditure and the bandwidth repair expenditure in a storage node repair process are reduced; and a redundant data part in the storage nodes is generated by minimum storage regeneration encoding data parts of two successive storage nodes, and based on the encoding structure, when the single-node fault, the two-adjacent-node fault and the two-non-adjacent-node fault exist in the repair group, fault node data reconstruction can be quickly realized through the successive nodes to recover fault node data.

The invention provides a distributed cluster unmanned aerial vehicle formation changing method. The method comprises the steps that firstly, the position and the speed of cluster unmanned aerial vehicles are initialized, and the flight formation of a cluster is designed; secondly, an unmanned aerial vehicle cooperative task allocation model is established, and each unmanned aerial vehicle independently performs task selection, so as to construct and update a task packet; after the task packet is updated, each unmanned aerial vehicle shares own known information with other unmanned aerial vehicles in the communication neighborhood at the same time and performs consistency negotiation, and CBBA is adopted to complete position allocation from an initial random position to a cluster target formation, so that the algorithm is finally converged to a conflict-free task allocation scheme; and finally, a control law is designed based on the position and speed consistency between the unmanned aerial vehicles of the cluster and between the unmanned aerial vehicles and a virtual leader to realize formation and maintenance of the cluster formation. According to the invention, rapid and efficient formation change of the cluster unmanned aerial vehicles can be realized through redistribution of the target formation position.

The invention provides a reconfiguration method of a real-time distributed simulation platform, and aims to provide the reconfiguration which does not to mutually call the resources of each model, does not need to carry out complex functional cutting or secondary development on a distributed simulation platform software framework containing each subnode, and can lower the development complexity of all nodes of the distributed simulation platform. The reconfiguration method is realized through a following technical scheme: a simulation platform frame is created and is divided into an application layer, a management layer, a service layer, an interaction layer and a resource layer from top to bottom; each level is provided with a relevant model and a relevant assembly, and the attribute, the function and the parameter information of the model and the assembly of the level can be described by corresponding to one mapping table; each level is relatively independent and only can provide an interface without accessing; a next level is accessed through the interface of the next level; data interaction among the resources of all models is realized through a service interface in the service layer; and different simulation tasks of the relevant level are loaded through a corresponding view window resource mapping table.

The invention discloses a novel vehicle combination positioning algorithm, and the algorithm employs the technology of federated Kalman filtering data fusion to achieve the information fusion of three positioning subsystems: RSU (road-side unit) positioning, satellite positioning (GNSS) and DR (dead reckoning). In other words, a linear Kalman filter serves as a local filter of an RSU positioning subsystem, and is named as LF1, wherein the corresponding information distribution coefficient is beta1; the GNSS positioning subsystem also employs the linear Kalman filter as the local filter which is named as LF2, wherein the corresponding information distribution coefficient is beta2; and the DR positioning subsystem employs an extended Kalman filter as the local filter which is named as LF3, wherein the corresponding information distribution coefficient is beta3, and a main filter is used for information fusion. Residual error x2 detection and residual hardware detection are employed for building a two-stage fault detection method, and the method can detect a hard fault and a soft fault of the subsystems at the same time. Meanwhile, the algorithm dynamically adjust the information distribution coefficients of the combined system according to positioning precision factors of the positioning subsystems, enables the system to be able to quickly adapt to the environment change, and improves the vehicle positioning precision and reliability.

The invention discloses a reconfigurable network on a mating plate and a configuration method and is intended to solve the problem that it fails to flexibly configure a network in the prior art. The invention is characterized in that a micro ring resonator optical switch is introduced in the connection of an IP nucleus and an adjacent light router; the state of the micro ring resonator optical switch is controlled for different applications; the light router connected to the IP nucleus is flexibly selected such that a network reconstruction can be realized. The configuration steps are: (1) determining the optimal dimension of the network needed; (2) determining an initial set based on the communication relations and traffic loads among the IP nucleuses; (3) adding the IP nucleuses which are not included in the initial set into the initial set based on certain rules or forming a new set; (4) carrying out a layout based on the communication relations in a set or among different sets according to a certain sequence. According to the invention, the restriction of a definite network composition is broken, the reconstruction of the network composition is realized based on specific characteristics of the applications through changing the topology connection relation, the design flexibility is guaranteed and the network performance is optimized.

The invention discloses a digitalized oral cavity intelligent auxiliary diagnosis and treatment system, which comprises an oral cavity endoscope system connected with an image acquisition card, wherein the image acquisition card is connected with an image processor which comprises an oral cavity image data acquisition system, an image processing system and an oral cavity and tooth three-dimensional reconstruction system; the oral cavity endoscope system comprises a near-distance self-adaptive focus medical camera lens which is connected with an operating handle; a photoelectric converting and data processing system and an image scanning control circuit are arranged in the operating handle; and the near-distance self-adaptive focus medical camera lens is also connected with an illumination light-source system. The system utilizes a three-dimensional reconstruction technology for reconstructing a tooth three-dimensional model and simulates the process of correcting teeth to acquire technical parameters required by various phases for correcting the teeth.

The embodiment of the invention relates to a method for writing data in solid-state hard-disk and a device thereof. The method comprises the following steps: updating count values, and using the updated count values for identifying logical block address information which corresponds with current data to be written; and writing the current data to be written, the logical block address information and the updated count values into a target physical block. The embodiment of the invention maintains the logical block address information and the count values, and writes the data, the logical block address information and the updated count values into the target physical block after the count values are updated. If a mapping table is lost or damaged, the fact that the pages corresponding to the logical block address information of the updated count values or section data is effective can be learnt in a data reconstructing process, so that data reconstruction of the whole disk can be realized, and the reliability of SSD can be improved.

The invention relates to a geographic information system, in particular a configuration management method for a GIS middleware, which has the following steps: (1) client software creates heterogeneous data resource information and sends the information to a data resource drive manager; (2) the data resource drive manager loads a corresponding middleware interface and heterogeneous data resource drive according to the heterogeneous data resource information; (3) the heterogeneous data resource drive in Step 2 directly visits the heterogeneous data resource and returns successful visit information to the data resource drive manager, and then the data resource and corresponding data resource drive are connected successfully; (4) the client software sends out request action, the data resource drive manager responses to the request and calls corresponding data resource drive to finish the actual processing work of the data then and returns the processed result to the client software; and (5) the client software displays the result data. The configuration management method can realize multi-source data integration without frequent data format conversion or large quantity of repetitive work.

The invention relates to an MRI accelerated acquisition method, in particular to a high-speed acquisition MRI reconstruction method based on residual self-attention image enhancement. According to themethod, the method comprises the steps of: adopting a generative adversarial network to construct a network structure of the invention, and embedding a residual self-attention-based feature enhancement module into the bottom of a U-NET contraction path; inputting the high-power under-sampling image into a generator; and extracting a high-level feature map through a U-NET contraction path, inputting the high-level feature map into a feature enhancement module to obtain a feature enhancement map, decoding the feature enhancement map through a U-NET expansion path, combining the decoded featureenhancement map with a feature map corresponding to the contraction path, fusing features of a contraction layer of a corresponding level during expansion, supplementing missing boundary information,accurately predicting edge information, and obtaining a reconstructed image. According to the method, more abstract and richer texture detail features of the image can be captured, local information and non-local information are fused to enhance global information amount, effective features are automatically selected by a network in the whole process, adaptive extraction and reconstruction of texture details of a key area can be realized, and a high-speed-acquisition MR image can be well reconstructed.

The invention discloses a flight control system collaborative fault diagnosis method with combined connectivity topology. The method comprises the steps that firstly, modeling is carried out on a flight control system, a communication connection relation among aircrafts in the flight control system is constructed by using a graph theory and a state space expression, the communication connection relation is represented with an undirected switching topology graph, corresponding topological description matrixes L and G are calculated, wherein the G is a circuit matrix, and the L is a laplacian matrix; secondly, for a constructed flight control system model, a combined connectivity topology structure is considered, and a fault estimation observer based on a relative output estimation error isconstructed; then a global estimation error equation of the flight control system is obtained through theory deduction, a parameter of the observer is calculated based on a Lyapunov method and a linear matrix inequation, and stability validation is carried out on the global estimation error equation. According to the flight control system collaborative fault diagnosis method with the combined connectivity topology, when the system breaks down, the observer can achieve the detection and reconstruction of fault in shorter time.

The invention relates to a directional diagram reconfigurable bare cloth linear array synthesizing method. The method comprises the following steps: constructing a virtual oversampling uniformly-spaced linear array; determining an element position vector d of the virtual oversampling uniformly-spaced linear array; determining an excitation array vector w(q) corresponding the q-th reconfigurable directional diagram of the virtual oversampling uniformly-spaced linear array and an excitation matrix consisting of Q excitation array vectors according to the element position vector d of the virtual oversampling uniformly-spaced linear array; determining the guiding vector a(theta) of the virtual oversampling uniformly-spaced linear array; according to a joint sparse recovery theory, establishing a convex optimization model synthesizing Q directional diagrams by using the hybrid l2/l1 norm of a minimum excitation matrix as a optimal object and using the design requirement of the Q directional diagrams as a constraint condition; using a convex optimization algorithm to solve the convex optimization model, working out the excitation matrix W, and determining the number of array elements, the positions of the array elements and Q array excitation groups corresponding to the Q reconfigurable directional diagrams.

An on-vehicle multiple-beam optical phased array laser three-dimensional imaging radar system relates to the technical field of radar engineering and settles problems of short-distance object detection and low imaging frame frequency in an existing laser three-dimensional imaging system. The on-vehicle multiple-beam optical phased array laser three-dimensional imaging radar system comprises a multi-beam laser module, a transmitting module, a receiving module, a central processor and a distance measuring unit. The multi-beam laser module comprises a beam splitter, a phase modulator array, a fiber amplifier array and a collimating beam spreading array. The transmitting module comprises a unidirectional glass array and an optical phased array. The receiving module comprises an optical filterarray, a double-bonding-lens array, a surface array APD array, a quenching circuit and a distance measuring unit. A ground objective area is scanned through multiple laser beams, thereby obtaining corresponding point cloud data. The obtained data are processed, thereby realizing objective three-dimensional image reconstruction with advantages of high frame frequency, high resolution and large visual field. A detecting task to a ground object is finished in real time in high speed. The on-vehicle multiple-beam optical phased array laser three-dimensional imaging radar system has advantages of high measurement speed and high measurement precision.

The invention discloses an overall reconstruction design method of a plane line position of an existing railway. The method comprises the steps that the line element types of testing points are identified based on the tangent azimuth change rate of each testing point, and initial clustering of the testing points is conducted; based on the number of the testing points in each line element point group, the initial clustered line element point groups are adjusted; based on the crossing point position of straight lines at two ends of each circular curved segment, the line element point groups arefurther adjusted; iterative computation is conducted, easement curve line element testing points in a linear element point group and a circular curve line element point group are gradually identifiedand adjusted, so that the number of the testing points in the line element point groups stable, final clustering of three kinds of line element testing points is achieved, and fitting of local line positions is conducted; all the local line positions are connected and form an initial overall fitting line position, the fitting line position is optimized, and the final plane reconstruction scheme ofthe existing railway is obtained. The overall reconstruction design method of the plane line position of the existing railway can precisely identify different types of line element testing points, and can optimize the fitting line position from an overall prospective and achieve rapid overall reconstruction of the plane line position of the existing railway.

The invention discloses a high-precision two-phase fluid interface capturing method, comprising the steps of: modeling a computation region and generating an initial high-quality unstructured triangular grid; setting computation parameters and initializing the VOF (Volume Of Fluid) phase function value F for different fluid phases; firstly predicating and computing the distribution of fluid phasefunctions by adopting 'prediction-correction', performing self-adaptive subdivision on a grid unit at the phase interface according to the phase function values, then re-computing the distribution offluid phase functions on the subdivided grid unit; after the computation on the subdivided grid unit is completed, remerging sub-grid units, with the specified phase fluid completely flowing out or completely filled therein, into the grid unit before subdivision and obtaining the phase function value F of the grid, and constructing the phase interface by adopting a PLIC (Piecewise Linear Interface Construction) method. The method of the invention can improve the phase interface capturing precision with no need of massively increasing the number of the grid unit, and simultaneously, as the time and the phase interface vary, the method has no need of regenerating all of the grids, so the algorithm executing efficiency is high.