499results about How to "Resolve dependencies" patented technology

One embodiment of the present invention sets forth a technique for speculatively issuing instructions to allow a processing pipeline to continue to process some instructions during rollback of other instructions. A scheduler circuit issues instructions for execution assuming that, several cycles later, when the instructions reach multithreaded execution units, that dependencies between the instructions will be resolved, resources will be available, operand data will be available, and other conditions will not prevent execution of the instructions. When a rollback condition exists at the point of execution for an instruction for a particular thread group, the instruction is not dispatched to the multithreaded execution units. However, other instructions issued by the scheduler circuit for execution by different thread groups, and for which a rollback condition does not exist, are executed by the multithreaded execution units. The instruction incurring the rollback condition is reissued after the rollback condition no longer exists.

The invention relates to a mobile robot positioning system and a method based on the plurality of the two-dimensional code readers. The mobile robot positioning system and the method are characterized in that the positioning system comprises a two-dimensional code positioning controller mounted on a mobile robot trolley, at least two two-dimensional code readers and two-dimensional code tags which are distributed on the ground, the two-dimensional code positioning controller is composed of a microprocessor and a communication interface which is connected with the at least two two-dimensional code readers; and the positioning method includes building three coordinate systems, calculating a deviation angle of the mobile robot trolley in a trolley coordinate system relative to a central point connection line of two two-dimensional codes, calculating a deviation angle of the central point connection line of two two-dimensional codes relative to a world coordinate system and calculating a deviation angle of the mobile robot trolley relative to the world coordinate system to obtain an accurate position of the mobile robot. According to the mobile robot positioning system and the method, the design is reasonable, an accurate positioning function for the mobile robot is achieved, and advantages of high accuracy and stability, implement convenience and the like are provided.

The invention discloses a mixed bipolar DC transmission system. The system comprises a rectification converter station and an inversion converter station which are connected through a DC transmission line, wherein the rectification converter station is formed by two thyristor converters through serial connection, and the serial connection node is grounded; and the inversion converter station is formed by two modular multilevel converters (MMCs) through serial connection, the serial connection node is grounded, and positive and negative ends after serial connection are connected with one-way connection power devices. The system has the advantages of low cost and loss, high reliability and the like of the existing thyristor converter, flexible control of the MMCs, low harmonic, active-reactive power decoupling control, low dependence on an alternating current system and the like; and the system is divided into positive and negative poles, so that operating reliability is strengthened, and the power devices provided with the one-way connection capacity and additionally arranged at outlets of inverters can effectively handle DC faults. The system is suitable for occasions such as high-power long-distance high-voltage DC transmission and island current delivery, provided with broad development space, and worthy of being popularized vigorously.

The invention discloses a prediction method and device for a statistic value of the area user number, equipment and a medium. The method comprises the steps that based on original signaling data, a real-time position of a user is determined; based on the real-time position of the user, the statistic value of the real-time user number of each grid in an area is determined; the statistic value of the real-time user number is related to time and stored; based on a history statistic value of the user number and a current statistic value of the user number of each grid, a model is predicted througha depth convolution neural network, and the statistic value of the user number of each grid in the future preset time period is predicted. Therefore, real-time and history data of current and surrounding grids is combined and used as input characteristics, self-adaption modeling is conducted based on the depth convolution neural network, and prediction of the passenger flow volume of the area grids is achieved.

The invention relates to the technical field of on-chip multi-processor system structure, aiming at providing an implementation method of a rename table of a global register under on-chip multi-processor system framework. The method comprises the steps: designing the rename table of the global register; processing the dependency relationship 'writing-after-writing' of command; processing the dependency relationship 'writing-after-reading' of command; acquiring operand; writing back results; and submitting the command. As the rename table of the global register is used by the method, the dependency relationship of the commands of different processors can be recorded, and the dependency of 'writing-after-reading' and 'writing-after-writing' can be solved; the operand of the commands of the different processors can be maintained and transmitted through the rename table of the global register, so that the internuclear communication volume can be reduced; as hardware configuration used by the rename table of the global register is a logical table, the structure is simple, the complexity of hardware is low, the area of the rename table of the global register is only 1% of that of one on-chip processor, and tiny area cost is caused.

The invention discloses a water pumping and compressed air energy storage system and relates to an electric power storage technology. By the system, water is pumped from a reservoir to a pressure tank through a water pump, and air in the pressure tank is compressed, so that electric energy is converted into internal energy of air to be stored in a valley period; and water is pumped out by high pressure air in the pressure tank, drives a water turbine through a water pipeline and drives a generator to generate electricity in a peak period. According to the system, work characteristics of the pressure tank are utilized, and the water pumping energy storage and compressed air energy storage system is miniaturized, so that the problem that a large scale water pumping energy storage system and the traditional compressed air energy storage system depend on geographical conditions is solved. Meanwhile, the water pumping and compressed air energy storage system has the characteristics of low manufacturing cost, no limitation to energy storage period, suitability for different power sources, environment friendliness and the like, and has a wide application prospect.

The present invention discloses a piggyback mobile surveying and mapping system based on a laser radar and a panorama camera. The system mainly comprises a collection device module and a post-processing module. The collection device module is a piggyback mode and is mainly composed of a panorama camera, a laser radar, a controller, a hand-held terminal, a portable power source, a bracing piece and a piggyback frame, and each part is connected and supported by the piggyback frame. The system and method can continuously move the obtained surrounding scene information, and are good in passing ability, high in adaptability and high in data acquisition efficiency. The problems which the system overcomes comprise: (1) the problem of the failure of a current ground mobile measurement system in the environment without GNSS; (2) the problem of low efficiency because the traditional fixed laser scanning needs lots of station changing joint point cloud; and (3) the problem that a cart based on the two-dimensional SLAM technology is only suitable for the ground horizontal environment.

An embodiment of the specification relates to a transaction parallel execution method, an apparatus, an electronic device and a system, comprising: after a transaction in a block is distributed to a transaction execution module for parallel execution, a collision detection is performed on a transaction execution result, and then the transaction execution result is merged and output according to the collision detection result. Thus, the performance of the transaction parallel execution is improved and ensured, and the dependency problem of the transaction parallel in the block is solved. Meanwhile, the multi-core parallel execution and the distributed deployment parallel execution can be realized, and the parallelism and the scalability of the transaction execution in the block are effectively improved.

The invention discloses a vehicle density sensing system and a vehicle density sensing method based on inter-vehicle communication. By sensing and predicting the vehicle position information, spreading and displaying of information is realized based on the inter-vehicle communication, the demand of a driver on the front real-time traffic information in the vehicle running process is satisfied, and reference is provided for the driver to brake and move around in advance, thus the driving safety of the driver is improved, and the road congestion can be obviously reduced or alleviated. According to the invention, vehicle GPS (Global Position System) information obtained by a vehicle is spread to the surrounding vehicles via a wireless vehicle transmission device, each vehicle which receives the position information can known the positions and the density information of other vehicles in a certain range around by performing calculation and comparison, so that an auxiliary reminding function for judging of the driver in the driving process is realized.

The invention relates to a multi-functional river management hull robot. The multi-functional river management hull robot comprises a hull robot main body, a garbage cleaning unit, an oxygen aeration unit, a random detection unit, an intelligent drug delivery unit, an automatic filter unit and a control center; and the control center is connected with the oxygen aeration unit, the random detection unit, the intelligent drug delivery unit and the automatic filter unit through a wireless mode, the control center receives the pollutant data sent by the random detection unit and sends instructions to the oxygen aeration unit and the automatic filter unit to turn on or turn off the oxygen aeration unit and the automatic filter unit, and the control center sends the instructions of opening a corresponding agent unit valve to the intelligent drug delivery unit, so that agents of a corresponding agent unit are sprayed into a river to achieve treatment of pollutants. According to the multi-functional river management hull robot, the pollutants in the river can be cleaned completely in one effort, the solar energy and the wind energy are used as power generation ways, the problem that equipment power supply depends on the battery capacity or being close to power facilities is solved, and the functions of automatic cruise and obstacle avoidance are achieved.

The invention relates to a data drive control method for minimum energy consumption of a refrigerating system on basis of SPSA. The method includes the steps of adjusting frequency of a compressor to enable chilled water supply water temperature to be constant according to changes of a system load so that refrigerating capacity can be matched with a thermal load; obtaining a relation curve between the system load and the minimum stable superheat degree of an evaporator; establishing an online neural network identification model of the system; calculating the system load according to changes of refrigerating capacity of the refrigerating system of an air conditioner under dynamic regulation of the compressor, obtaining the minimum stable superheat degree corresponding to the system load according to the relation curve between the system load and the minimum stable superheat degree of the evaporator, and using the minimum stable superheat degree as a set value of the superheat degree of the evaporator; establishing a neural network controller; completing control over the superheat degree of the evaporator through an expansion valve control loop. The method is easy to calculate and implement, the number of parameters is small, and the control effect is good.

The invention provides a monitoring method for blade crack of a wind driven generator. The monitoring method mainly includes setup of a piezoelectric ceramic fan crack damage health monitoring system and a fan blade crack damage assessment method. The piezoelectric ceramic fan crack damage health monitoring system mainly comprises piezoelectric ceramic pieces, a function generator and an oscilloscope. The working principle is an active surveillance technology based on a piezoelectric ceramic wave method, and the working procedures include utilizing the function generator to emit sine sweeping-frequency signals and the oscilloscope is used for real-time display and storage for received detection signals. The fan blade crack damage assessment method includes utilizing Fourier spectrum analysis to calculate two defined damage indexes based on wavelet packet analysis, successfully monitoring crack areas and performing verification through time reversal. The monitoring method is easy to operate, and the identification effect of blade crack of the wind driven generator is remarkable. The monitoring method is general, and can be applied to damage monitoring of composite materials similar to fan blades.

The invention relates to a cross-platform system compiling and building method which is used for carrying out cross-platform compilation through a cmake compilation tool. The method specifically comprises the following steps that (1) a parameter setting module initializes development environment variables and sets compiling configuration information; (2) a compilation script uploading module uploads cmake script files compiled by a user; (3) the cmake compilation tool is started up, reads and analyzes received cmake script files, carries out compilation processing according to a current platform and analyzed compilation parameters by using a compiler of the current platform, so as to generate a compilation result; (4) a releasing and packaging module generates and releases a compressed package according to the compilation result obtained in the step (3). Compared with the prior art, the method has the advantages that the work efficiency of developers is increased, the extension and integration are facilitated and the like.

The invention discloses a parallel non-zero coefficient context modeling method for binary arithmetic coding, and relates to a context modeling technology for video coding. The method is proposed to solve the problem that the data throughput rate of a coding system is reduced because the conventional binary arithmetic coding generates a data dependency relationship on the context in the context modeling process of non-zero coefficients. The method comprises the following steps of: 1, defining the number of coefficients and non-zero coefficients in a transform quantification block; 2, performing binarization on the non-zero coefficients to obtain a bin sequence; 3, performing context modeling on a first context according to the position information of the non-zero coefficients and the number of the non-zero coefficients in the transform quantification block; 4, calculating the probability distribution of the non-zero coefficients, the absolute value of which is abs (Li) in the first context value; 5, subtracting 1 from the absolute value of Li, and performing binarization; and 6, performing context modeling by using the equal probability distribution. By using the method, the context modeling processes of different non-zero coefficients can be simultaneously performed, and parallel execution of multiple context modeling processes in the coding process is realized.

A method and data processing system are disclosed for concurrently loading a plurality of new modules while code of a plurality of modules of an original (i.e., currently running) computer program is loaded and executed on a computer system. The method may comprise allocating a module TLS block for each thread within an initial computer program, wherein the allocated module TLS blocks are large enough to hold all module thread variables that are loaded or to be loaded. The method further may comprise providing constant offsets between module TLS block pointers corresponding to the module TLS blocks and the module thread variables for all of the threads. The disclosed method may be used to add modules to the original computer program and / or to apply a concurrent patch by replacing one or more of the plurality of original computer program modules.

The invention provides a method for detecting the change of urban surface features in remote sensing image based on Siamese convolution network, the Siamese convolution network is a twin convolution neural network SCNN, Based on the data enhancement technique, the initial sample set is selected from the registered two-phase city images, the twin convolution neural network (SCNN) is set up, the twin convolution neural network (SCNN) is trained based on the initial sample set, and the initial sample set is expanded by the data enhancement technique. The twin convolution neural network (SCNN) istrained based on the expanded sample set, and the trained SCNN model is obtained to detect the change of urban terrain. The invention realizes the expansion of the sample through the data enhancementtechnology, and designs a Siamese convolution neural network, avoids the tedious steps of artificially designed features in the traditional change detection method, and realizes the end-to-end operation; Fully considering the spatial attributes of the image, the accuracy and reliability of the change detection are improved.

The invention relates to a vortex electromagnetic wave generation device and method. The device comprises a channel coding module; a constellation mapping module which generates a complex digital signal stream a (n) according to coding information output by the channel coding module; an orbital angular momentum modulation module which converts the complex digital signal stream a (n) into an N-dimensional array element excitation signal B (n) according to a preset OAM (Orbital Angular Momentum) topology charge 1 in a mode definition module, wherein the N-dimensional array element excitation signal B (n) is used for exciting a vortex electromagnetic wave carrying the OAM topology charge 1; a DAC module which carries out digital-to-analogue conversion on the N-dimensional array element excitation signal B (n) and generates an N-dimensional simulation signal C (t); an orthogonal upper conversion module which carries out orthogonal upper conversion on the N-dimensional simulation signal C (t) according to a local oscillation signal directly provided or triggered by a phase synchronization module and generating an N-dimensional radio frequency signal D (t); and a ring array transmitting antenna which is connected with the orthogonal upper conversion module. According to the method and the device, the vortex electromagnetic wave carrying the software-defined OAM topology charge is generated.

The invention discloses a time series prediction-based wavelet neural network online PID adjustment method and a system using the same. The method specifically comprises the steps of initiating the parameters, computing the control parameters and rectifying the online adjustment parameters, computing the control amount, computing or acquiring the system output and computing the prediction result; the system specifically comprises a control decision device, an online adjuster, a control executer, a controlled object, an online predictor, a control perturbation source and a prediction perturbation source; the control decision device is used for realizing the parameter initiation; the online adjuster is used for computing the control parameters and rectifying the online adjustment algorithm parameters; the control executer is used for computing the control amount; the online predictor is used for computing the prediction result; and the control decision device is also used for judging whether the algorithm is finished. According to the method, the wavelet neural network and the classic control method are combined to solve the problem of dependence on the parameter configuration work before the system operates in the control field, so that the control system has the effects of prediction, learning, online parameter optimization and self-adaptation.

The invention discloses a multifunctional detachable yacht of diving and sightseeing. A lower part of the yacht on water is provided with a rise-and-fall underwater sightseeing cabin; both ends of the underwater sightseeing cabin are provided with air circulation tubes; the middle of the air circulation tubes are provided with a rise-and-fall elevator; the circumference of the underwater sightseeing cabin is provided with a meshy diving chamber which is integrated into a whole with the underwater sightseeing cabin via a rise-and-fall positioning rod; a center on the bottom of the yacht on water is provided with a flute; the underwater sightseeing cabin is hung on a yacht lifting device; when a preset limitation is reached, the underwater sightseeing cabin and the meshy diving chamber are reset synchronously inside the flute. The invention solves the complication of the underwater sightseeing facility and the uncertainty of the safety terminal technique and gets rid of the dependency on high required technical facilities. The simple and scientific structure design guarantees safety and is easy for management and control. The multifunctional detachable yacht of diving and sightseeing has the advantages of low manufacture and operating cost and safe and comfortable riding.

The invention provides a face recognition method and belongs to the biological feature recognition field. With the method adopted, the problem of low efficiency of face recognition in the prior art can be solved. The method includes the following steps that: after it is detected that a camera is in a turned-on state, the brightness of a display screen is adjusted to a maximum value; a face image before the display screen is acquired; whether the face image meets a face recognition requirement is judged, if the face image does not meet the face recognition requirement, nonlinear transformation processing is performed on the face image, so that a face image meeting the face recognition requirement can be obtained; and the face image meeting the face recognition requirement is recognized. According to the face recognition method of the invention, when an electronic device is in a photographing mode, the brightness of the display screen is automatically adjusted to the maximum value, so that adequate illumination can be provide for face photographing, and therefore, face recognition efficiency can be improved; and the nonlinear transformation processing is performed on the face image, and therefore, the quality of the obtained face image can be improved, and face recognition accuracy can be improved.

The invention discloses a large-scale wind power grid-integration reactive voltage optimizing method based on an improved artificial fish swarm hybrid optimization algorithm. The method comprises the following steps: scheduling and selecting an automatic control system for a large-scale wind power base and reading the original data information of a power grid on the basis of an energy management system in the automatic control system; obtaining effective data for load flow calculation according to the obtained original data information and forming an effective data set of the whole power grid; screening the effective data set on the basis of a pre-confirmed optimizing mode, thereby obtaining a calculation number set based on the data of the whole power grid; calling for the improved artificial fish swarm hybrid optimization algorithm and performing reactive optimization on the wind power grid-integration reactive voltage on the basis of the screened calculation number set, thereby obtaining a reactive optimization result. According to the method provided by the invention, the defects of the prior art of large data throughput, poor convergence, inferior stability and the like, are overcome, so that the advantages of small data throughput, excellent convergence and high stability are achieved.

The invention belongs to the technical field of network security, in particular to a security situation intelligent prediction method, device and system based on a deep neural network, and the methodcomprises the steps: taking an automatic encoder as a basic unit, combining with an error back propagation BP neural network, and constructing a deep self-encoding network model for network security situation unsupervised training learning; sequentially carrying out unsupervised layer-by-layer pre-training and supervised model parameter fine adjustment by combining expert knowledge and the hierarchical evaluation deep self-encoding network model to obtain a trained network model; and predicting the target network security situation based on the trained network model. According to the invention, the deep auto-encoder is used as a basic structure, an unsupervised layer-by-layer algorithm is used for pre-training, and a supervised algorithm is used for parameter fine tuning, so that the problem of dependence on a network security data label is solved, automatic monitoring and intelligent early warning of a security situation are realized, and the accuracy and timeliness of situation prediction are improved.

The invention belongs to the field of spacecraft navigation, and particularly relates to a deep learning and geometric algorithm combined non-cooperative target relative pose estimation method, whichcomprises the steps: manually selecting 2D key points by utilizing a non-cooperative target data set, and reconstructing 3D model combination of a non-cooperative target by combining multi-view triangulation; re-projecting the 3D coordinates to an image plane to obtain 2D coordinate estimated values of the key points; designing a target detection and semantic segmentation network and a key point regression network, and performing supervised regression on 2D key point coordinates; and minimizing errors of 2D-3D corresponding point coordinates by using a nonlinear least square method to estimatea six-degree-of-freedom relative position and a relative attitude of the non-cooperative target. According to the method, deep learning and a geometric optimization algorithm are effectively combined, research of a high-precision and high-speed pose estimation algorithm based on a visual image can be realized, and the method is an innovative application of deep learning in the aerospace field.

Systems and methods for producing energy from a geothermal formation are disclosed. A heat exchanger can be disposed within a well to absorb heat from a geothermal formation. The heat exchanger can besupported within the well using a high thermal conductivity material. The heat exchanger is connected to an organic Rankine cycle engine including a secondary heat exchanger and a turbine. The primary and secondary heat transfer fluids are chosen to maximize efficiency of the organic Rankine cycle.

The invention discloses a digital control selecting area electrochemical deposition rapid molding method and a device. A worktable moving in the X direction and a worktable moving in the Y direction are arranged on a worktable of a machine tool, wherein, a sediment chamber provided with a cathode plate inside is arranged on the worktable in the Y direction, an anode is arranged at the lower end of an upright post moving in the Z direction and is inserted into the sediment chamber, an electroforming solution is sprayed out from a nozzle to the cathode plate, and a computer control system controls the relative position of the cathode and the anode, the moving speeds of three electric motors, the on and off of the power supply and the size of the sediment current. The electroforming solution with high concentration is added circularly, thereby providing sufficient metal ions for the sedimentation, and then the anode is connected with a positive electrode, the cathode is connected with a negative electrode; therefore, an electric filed is formed between the ultrathin cathode and the anode, and metal is sedimentated under the anode. The method combines the electroforming basic theory and the rapid molding technology, sufficiently uses the characteristics of the rapid molding technology and the electrochemical deposition technique, and can be directly used for manufacturing metal element products with high quality and high accuracy.

The invention discloses a paper artwork tracing and anti-counterfeiting method and system based on a block chain. The method comprises the steps of generating a block chain external account of an artist by means of a personal public and private key pair of the artist, creating an artist intelligent contract including a block chain external account address, a public key in the personal public and private key pair, and the artist personal information; storing the artwork information and the block chain external account address of the artist in the readable area of an NFC chip, storing the private key in the personal public and private key pair in the unredabl area of the NFC chip, and locking the NFC chip to a readable mode; and creating an artwork intelligent contract including the artworkinformation, the block chain external account address, the artwork information, and the ID information of the NFC chip on the block chain; wherein the artwork information includes an artwork name, anartist, a price and an owner. According to the invention, the tracing, true non-tampering and anti-counterfeiting purposes of the paper artwork are achieved.

The invention relates to a Beidou 2nd generation B1 and B3 double-frequency receiver, the receiver comprises an amplifying and filtering circuit, a power dividing circuit, a B1 narrow-band band-pass filter, a B3 narrow-band band-pass filter, a down-conversion and analog-digital conversion sampling circuit, a crystal oscillator, an intermediate frequency (IF) digital signal processing circuit, a measured data preprocessing module, a combined filtering module and a navigation and positioning module. According to the invention, the civilian used Beidou 2nd generation B1, B3 double-frequency signal double-end selectable input is adopted by the receiver, the B1, B3 double-frequency signal can be simultaneously demodulated and performed positioning calculation, a self-adaptive difference positioning algorithm is adopted, the dependency of GPS system is avoided, the navigation and positioning precision of Beidou system is effectively improved, and a reliable positioning continuity and a relatively high positioning precision are provided under conditions of poor observation condition and less available satellite number.

The invention relates to an optimal design method for a spliced and welded plate automobile door, and aims to rationally design the spliced and welded plate automobile door, reduce the number of parts, reduce the weight of the automobile door, improve the rigidity of the automobile door and improve the collision safety of an automobile. The optimal design method comprises the following steps of: determining arrangement of weld lines of the spliced and welded plate automobile door by a bidirectional progressive topological optimization method, namely the design of a splicing and welding scheme; after specific positions of the weld lines are determined, namely the splicing and welding scheme is determined, dividing an inner plate of the automobile door into several regions by the weld lines, wherein the regions represent spliced and welded plates of different thicknesses; and constructing an automobile door system light-weight optimal model based on different working condition responses by a sensitivity analysis method and a size optimization method, performing optimal calculation, and determining the specific thickness of each spliced and welded plate of the inner plate of the automobile door.

The invention discloses a plant disinfectant and a preparation method thereof. The plant disinfectant comprises the following raw materials: weeping forsythia, honeysuckle, liquorice root, golden thread, cortex phellodendri, raw rhubarb, safflower, flos caryophyllata, red paeony root and fineleaf schizonepeta herb. The preparation method comprises the following steps of pulverizing the raw materials, immersing the pulverized raw materials into distilled spirit, performing percolation, standing and filtering and adding peppermint oil and / or rose essential oil to obtain products of the plant disinfectant through subpackage. The plant disinfectant combines various plant raw materials with disinfection and sterilization, contains compound chemical components, can kill various bacteria and virus, solves the problems of the drug resistance, drug tolerance, dependence, accumulated toxicity and the like of the bacteria and the virus fundamentally, has no pollution to environment, and is an efficient disinfectant which has broad spectrum of sterilization and disinfection, safety, no toxic or side effect, quick response and stable properties.

The invention discloses a main memory database access optimization method on the basis of a page coloring technology. The method comprises the following steps of: firstly, carrying out sorting on an access sequence of all data pages of a weak locality dataset according to page colors and carrying out grouping on all the data pages according to the page colors; then scanning all the data pages of the weak locality dataset according to a sequence of grouping the page colors; furthermore, presetting a plurality of memory pages with the same page color into a page color queue, wherein the page color queue is used as a memory cache before the memory pages are uploaded into a CPU (Central Processing Unit) cache; and ensuring the data pages of the weak locality dataset to firstly enter the page color queue by an asynchronous mode and then be uploaded into the CPU cache to complete the data processing. The invention can solve the problem that in the main memory database application, a cache address space cannot be optimized and distributed for processes, threads or the datasets by the page colors, and effectively reduces cache conflicts between the datasets with different data locality intensities.