2445results about How to "Accelerate" patented technology

The invention provides a barrier identification method and system of a laser radar. The method comprises that S1) original point cloud data, position data and attitude data are fused to obtain fused point cloud data; S2) the fused point cloud data is divided into multiple fused point cloud data segments according to the time sequence, and ICP registering is carried out on point cloud in each fusedpoint cloud data segment to obtain superposed point cloud data; S3) point clouds of each group of superposed point cloud data segment are clustered to obtain candidate barriers, and static information of the candidate barriers is extracted; and S4) according to the static information of the candidate barriers, static and dynamic barriers are identified from the candidate barrier, and dynamic information of the dynamic barrier is extracted. A graph can be made needless of using offline data of the laser radar, the method and system are suitable for detecting barriers in different complex application environments, the identification precision is high, and the speed is high.

The embodiment of the invention provides an interaction system applied to an internet of scenes. The system comprises first terminal equipment, a streaming media server, an internet of scenes server and second terminal equipment; the second terminal equipment comprises an internet of scenes terminal, the first terminal equipment is an internet terminal, a specified application is installed in thefirst terminal equipment, and the specified application program provides an input interface for user information input; the first terminal equipment communicates with the streaming media server through an internet protocol; the streaming media server is used for converting the internet protocol into the internet of scenes protocol and communicating with the internet of scenes server through the internet of scenes protocol; the internet of scenes server is communicated with the second terminal equipment through the internet of scenes protocol. Through the interaction system provided by the embodiment of the invention, the convenience of communicating the internet and the internet of scenes can be improved, and the transmission speed of the video and other multimedia data is accelerated.

The invention relates to a three-dimensional circuit manufacturing process, in particular to a packaged technology which utilizes laser scanning to selectively deposit an accurate and tight conductive circuit pattern and directly welds electronic components on a plastic surface. The method comprises the following steps: 1, synthesizing the laser plastic material containing an organic metal compound; 2, carrying out injection molding on the laser plastic material to obtain plastic pieces; 3, selectively scanning the plastic pieces by laser to form a pattern reducing metal particles; 4, carrying out rapid ultrasonic electroless plating to thicken the metal layer on the pattern and form a continuous conductive pattern; and 5, carrying out plasma chemical polishing. The invention also fuses a laser layering sintering (SLS) rapid forming technology and contains a laser direct structuring (LDS), provides process and equipment innovation, and becomes an environmental-friendly and flexible intelligent manufacturing core technology for a new generation of electronic, electrical and electromechanical integrated products; and the invention can be applied to electronic industries, aerospace, transportation, industrial control and other fields.

The invention discloses a failure recognition method and system based on neural network self-learning. The method comprises the steps that (1), various set monitoring quantities of track traffic equipment are monitored and collected, and the collected monitoring data are converted into sample data applicable to training the neural network; (2), the sample data are classified according to the types of failures, and a sample data set corresponding to each type of failure is obtained; (3), one neural network is designed for each type of failure, then the sample data sets of the failures are used for training, and a recognition model of each type of failure is obtained; (4), the recognition models of all the types of failures are fused to be one neutral network, and failure recognition is carried out on the monitoring data collected in real time. The method can calmly cope with complex equipment failures and train operation accidents.

The invention discloses a method of two-dimensional face image recognition, pertaining to the field of pattern recognition and computer vision. The method includes that: building a three-dimensional face deformation model according to the known three-dimensional face database; inputting a two-dimensional face image to register, and rebuilding in three dimension the registered two-dimensional face image using the three-dimensional face deformation model to obtain the three-dimensional rebuilt result of the registered two-dimensional face image; by constructing an illumination model, generating a virtual image with the changing posture and illumination in the three-dimensional rebuilt result; designing a change limitation classifier using the virtual image; inputting the two-dimensional face image to be recognized, implementing feature extraction and compression processing, then inputting the features processed by extraction and compression processing to the change limitation classifier, outputting the classified result, and finally realizing the face image recognition. The method in the invention realizes the full automation of the recognition procedure, enhances the recognition accuracy, and largely improves the recognition speed.

The invention brings forward a distributed file system and a data access method thereof. The system comprises a core control node and multiple sub-clusters. Each sub-cluster comprises a sub-cluster control node and multiple data nodes. The core control node is used for receiving file access requests comprising file names from a client, parsing the file names to determine sub-clusters which files belong to, and transmitting the file access requests to the sub-cluster control nodes in the sub-clusters. The sub-cluster control nodes are used for scheduling the distribution of stored resources of the data nodes in the sub-clusters which the sub-cluster control nodes belong to, establishing indexes to record correlations between the file names of the files stored in the data nodes of the sub-clusters which the sub-cluster control nodes belong to and the data nodes of the files, based on the file access requests transmitted by the core control node and the correlations, determining data nodes related with the file access requests, and informing the client of the identification of the determined data nodes through the forwarding of the core control node.

The present invention is one kind of thick oil demulsifier and its preparation process, and belongs to the field of petrochemical technology. The present invention features that phenol-amine resin as the initial material is block polymerized with epoxy propane ad epoxy ethane under the action of catalyst to obtain stereo netted macromolecular polyether as the thick oil demulsifier. The polyether as the thick oil demulsifier may be further chain expanded for even high demulsifying effect. The thick oil demulsifier can reach the oil-water interface fast to lower the elasticity and viscosity of the interface film, speed the aggregation of liquid drops and demulsify effectively. The thick oil demulsifier has simple preparation process, is suitable for industrial production, and may be used in the efficient dewatering of oil field produced liquid with different water contents.

The invention discloses a microcirculation resistance index calculation method based on a radiography image and a hydrodynamics model. The method comprises steps of selecting coronary artery images oftwo positions to carry out segmentation so as to obtain a coronary artery center line and a diameter; generating a coronary artery three-dimensional mode; acquiring blood conduction time Tmn and thespeed; establishing a blood vessel three-dimensional network; based on the coronary artery center line and the diameter of the X-ray reconstruction, generating an axially symmetrical two-dimensional plane mode; then, establishing two-dimensional axially symmetrical grids; measuring aorta mean blood pressure Pa; based on the obtained blood flow speed and the generated blood vessel three-dimensionalnetwork, solving fundamental formula of incompressible flows, and calculating the pressure drop deltaPi of each point from the entrance to the downstream along with the blood vessel center line, wherein the coronary artery far-end artery pressure Pd=Pa-deltaPi; and calculating the microcirculation resistance index IMR=Pd*Tmn. According to the invention, there is no need to carry out measurement through pressure guide wires, so operation is simple; operation difficulty and risk are greatly reduced; and the method can be clinically promoted and applied in large scale.

The invention relates to a method for evaluating the construction quality of a tunnel, and discloses a method for evaluating the construction quality of tunnel drilling and blasting based on three-dimensional laser scanning. The method comprises the following steps of: acquiring data by adopting a tunnel data acquisition module at first, and then processing the acquired data by adopting a tunnel data pre-processing module, building a tunnel three-dimensional model building module according to the processed result, performing post-processing by adopting a tunnel three-dimensional model post-processing module, and finally, evaluating the result by adopting a tunnel drilling and blasting quality evaluation module. The method discloses by the invention has the advantages of being wide in measurement range, strong in applicability, high in automation degree, and good in reliability.

The invention provides a method for cutting a transparent material by using ultra-short pulse laser. The ultra-short pulse laser output by an ultra-short pulse laser generating device is condensed by a condensation device so as to form a bunching laser beam; the bunching laser beam enters from the surface of the transparent material to be machined, so that the center refractive index at a laser application point is increased to form a waveguide structure along a laser emitting direction; the laser is transmitted to the inside of the transparent material along the waveguide structure, and continuously generates a waveguide structure along the laser emitting direction in a transmission process until the entire waveguide structure and the laser penetrate through the transparent material; and therefore, the laser moves in a direction which is vertical to the surface of the transparent material at uniform speed, so that a waveguide plane is formed in the transparent material. The invention further provides a device for cutting the transparent material by using the ultra-short pulse laser. The method and the device for cutting the transparent material by using the ultra-short pulse laser provided by the invention have the advantages of fast cutting speed, small cutting seam, no material consumption and no powder pollution. When the machined material bears a suitable external force, the material is cracked only along a stress fault surface; the broken surface nearly has no conical degree; and the roughness is good.

The invention discloses a gait segmentation and gait recognition integrated method based on deep learning. According to the method, human figure contour segmentation is performed on multiple gait images in a segment of gait video by utilizing a multichannel neural network segmentation model so that human figure contour segments of multiple gait images in the segment of gait video are acquired; and then identity recognition is performed on the acquired human figure contours through a classification convolution neural network model, and an identity recognition result is outputted. The method has extremely high robustness on scene changes, dressing changes, the angles of the image video and the walking state, and the method is especially suitable for solving gait recognition under the dynamic background and can achieve extremely high recognition precision in the actual gait recognition; and an integrated framework of segmentation and recognition is adopted so that the method also has extremely high recognition speed and is suitable for real-time gait recognition under the actual monitoring.

The invention discloses a method of loading pages, comprising: obtaining input information which is input at an address bar by a user; concluding the most suited web address which is input currently by the user according to the input information input at the address bar by the user before the user determines to enter certain pages, and adopting a background browse mode to load the pages corresponding to the most suited web address. The invention also discloses a device of loading the pages. According to the invention, the pages corresponding to the most suited web address input by the user are loaded in advance, causing the user to fast browse the required web address after completing input at the address bar, thereby reducing time from appreciably inputting an integrated web address to start browsing by the user to completing load of relative information. Meanwhile, the invention starts with angle of time allocation, optimizes working efficiency of computer hardware devices.

The invention provides a shooting module and an automatic focusing method thereof. The shooting module comprises a motor and a camera embedded in the motor, and further comprises a ranging module, a control module and a drive module. The ranging module comprises a transmitting unit, a receiving unit and a processing unit, the transmitting unit is used for transmitting a ray to an object to be shot, the receiving unit is used for receiving the ray reflected by the object to be shot, and the processing unit is used for calculating the object distance between the shooting module and the object to be shot according to the time when the ray is transmitted and received and sending the measured object distance to the drive module. The control module is used for receiving the measured object distance, determining a corresponding drive instruction according to the corresponding relation between the object distance and a motor drive instruction, and sending the corresponding control instruction to the drive module. The drive module is used for outputting the drive instruction to the motor after receiving the control instruction, the motor drives the camera to the corresponding focusing position. According to the camera module and the focusing method, the focusing time is short, and the focusing speed is high.

The invention discloses a method, a device and terminal equipment for downloading files. The method comprises the following steps of: acquiring network information of a current connection network; judging the network type of the current connection network according to the network information; when the network type of the current connection network is a wireless local network provided by a wireless network, allowing automatic loading of the files in a preset downloading queue; when the network type of the current connection network is a hot-spot wireless local network provided by a wireless access node, forbidding automatic downloading for the files in the preset downloading queue. The method, the device and the terminal equipment have the advantages that by analysis on the source of the wireless local network, if the source of the wireless local network is the wireless network, the automatic downloading for the files in the preset downloading queue is allowed; if the source of the wireless local network is the wireless access node, the automatic downloading for the files in the preset downloading queue is forbidden, so that the unexpected consumption of user flow can be avoided, the user expenditure can be saved, and the user experience is improved.

The invention relates to the field of image application, and discloses an image processing method and device and a terminal which are used for solving the technical problems that 'ghost images' are produced when multiple low-resolution images are combined into high-resolution images. The method is applied to the terminal comprising a first camera and a second camera, wherein the first camera and the second camera are located on the same side face of the terminal. The method comprises the steps that a first image, obtained by the first camera, of a first region is obtained, and a second image, obtained by the second camera at the same moment, of a second region is obtained; the first image is used as a reference image so as to compensate for the second image in a horizontal-motion mode; the first image and the second image which is compensated for in the horizontal-motion mode are combined into a third image, and the resolution of the third image is higher than that of the first image and that of the second image.

The invention discloses a method and a system for multilink transmission data, and belongs to the field of communication. The method comprises the following steps that: an initiating direction receiver applied by service sends a multilink transmission data request used for requesting the receiver to simultaneously transmit service data of the service through a plurality of links, wherein the multilink transmission data request carries identification information of the plurality of network links of initiator request transmission data; when the receiver receives the multilink transmission data request and accepts the multilink transmission data request, an initiator negotiates with the receiver about transmission rules of the multilink transmission data; and the initiator and the receiver transmit data applied by the transmission service according to the negotiated transmission rules after finishing the negotiation. The technical scheme effectively uses access capability of a terminal and obviously increases the speed of service data transmission.

The method forecasts result of initial probability space of next bin corresponding to current binary value bin. The method also includes following steps: updating probability space of current bin to obtain final probability space of current bin; based on prognostic initial probability space of next bin to update final probability space of next bin, and obtain final probability space of next bin. Based on the method the invention discloses system and encoding device for increasing arithmetic coding speed. Under condition of ensuring accuracy of prognostic result, the disclosed system and method can update two or more probability spaces of bin within a standard time period T while probability space of one bin is updated so as to raise speed for encoding CABAC.

The invention discloses a timing method and device of a hybrid automatic repeat request (HARQ), wherein the method comprises the following steps: determining the feedback time according to the preset parameters, and then, sending a feedback message of the HARQ at the feedback time, wherein the preset parameters comprise at least one of time TprocMS of terminal processing data, time TprocBS of base station processing data, transmission time interval (TTI) and protective time P, thereby ensuring that a terminal or a base station can finish the HARQ feedback in a shortest time, preventing the waiting time of the feedback from being too long, and improving the speed of the HARQ feedback.

A fast flow classification method based on keyword decomposition hash algorithm relates to network flow measurement technology. The data blocks of multiple keywords of the packet head are connected into an integral binary string, and then the binary string is divided into a series of data blocks, the binary strings of the series of data blocks and prime numbers are performed with exclusion OR to obtain hash key values, the hash key values are processed by the hash function to obtain the matching rule set which is stored in a hush bucket, each matching rule set is simplified to a hash matched value stored in a matched linked list; the hash matched value is used as the index value of the linked list under query, the captured packets from the network receive keyword decomposition and hash value computation, and also perform quick flow matching with the rule sets in the hash bucket. The invention supports multiple keywords, is applicable to various classification modes, has high speed, low collision rate and is applicable to high speed network flow measurement.

The invention discloses a depth map real-time acquisition algorithm based on array camera; the camera array thereof comprises a 3D camera and a plurality of visible light cameras; the algorithm obtains the high-resolution depth maps on the viewports of each visible light camera according to a low-resolution depth map provided by the 3D camera. The algorithm comprises the steps of: at first, calibrating the camera array and projecting the depth map of the 3D camera in the field of view of each visible light camera to obtain an initial depth map in the field of view of the visible light cameras; and secondarily, using the new energy function which is defined in the algorithm and fused with color information and initial depth information and taking the color maps or grey-scale maps of the visible light cameras as references to iteratively correct the initial depth map so as to obtain the final high-resolution depth map. The algorithm is a method capable of obtaining the high-resolution depth map in the field of view of common cameras in real time and can meet the demands on multi-aspect application such as stereoscopic television, virtual reality and the like.

The present invention relates to a response method of large data quantity classification and web-page search. When a system is started up, data for users to classify and search can be queried from database and be cached in memory; when the users request the web-page with a certain searching condition, firstly whether an effective page cache exists is searched in a page cache; if existing, the page cache is returned as a result directly; otherwise, according to the searching condition, a needed result is searched in the memory data cache to generate a corresponding page, then the corresponding page is cached to the page cache and is return as a result; the data in the memory is refreshed and after refreshed, the page caches cashed before are blanked out. The invention lightens the load of the database, accelerates the speed of data query and improves the performance of system and the response speed of the page.

The invention provides a human-machine interface (HMI) interactive system which comprises an input device, a storage bank, a search module, a display device, a call module, wherein, the input device is used for inputting keyword strings and transmitting the keyword strings to the display device, and the input device is further used for inputting select instructions and transmitting the select instructions to the call module after the target information object is searched by the search module; the storage bank is used for storing information objects; the search module is used for searching the information objects stored by the storage bank for the matching information object output module according to the inputted keyword strings, and the obtained information objects after search are transmitted to the display device; the display device is used for forming an input region on the displayed movable terminal desktop to display the keyword strings inputted by the input device and information object list outputted by the output device; the call module is used for selecting the target information object from the displayed information object list according to the select instructions inputted by the input device and calling the target information object; The invention further provides an HMI interactive method. The invention can search for the matching information object and directly call the properties of the information object by directly inputting keywords on the desktop of the mobile terminal, so that the information object can be searched and called more rapidly and conveniently.

The invention discloses an edge structure information based block compression perception reconfiguration method which mainly overcomes the defects of low speed and obvious block effect of a reconstructed image in the prior art. The method comprises the following steps of: (1) dividing an image into 32*32 blocks; (2) carrying out wavelet transform on the image blocks, reserving low-frequency signals of the image blocks, and compressing and sampling high-frequency signals; (3) zeroing all high-frequency image block parts, carrying out reverse wavelet transform on the reserved low-frequency information and the zeroed parts to obtain a blurred image and carrying out edge detection on the image; (4) reconstructing image blocks without edges by adopting an orthogonal matching pursuit method, reconstructing image blocks with edges by adopting an MP (Monolithic Processor) method guided by edge structure information, and reconstructing non-edge parts by adopting a generalized inverse method; and (5) splicing reconstructed image blocks to obtain a reconstructed image of an original image. Compared with the prior art, the method has the advantages of high speed and good reconstruction effect and is suitable for reconstructing natural images and SAR (Synthetic Aperture Radar) images.

The invention relates to a regional convolutional neural network-based efficient gesture detection and recognition method. The method includes following steps that: Chinese character gesture alphabetsample images are preprocessed; a gesture image data set is constructed and strengthened; a regional convolutional neural network-based Faster R-CNN is utilized to perform gesture detection and recognition: a feature extraction network extracts gesture features and divides an extracted feature graph into two parts, the first part directly enters a Fast R-CNN for deep convolution, the second part enters an RPN, a regional proposal is generated, the regional proposal is inputted into the Fast R-CNN, the regional proposal and a feature graph obtained in the first part together enter a RoI poolinglayer and then enter a full joint layer, position regression and gesture category scores are obtained, and finally, gesture detection and recognition can be realized; and the network model is trained, Chinese character gesture alphabet detection and recognition can be realized. The method of the invention can improve recognition speed and accuracy.

A vehicle communication control module of multibus based on TCN consists of CPU processor, internal memory, reset circuit, LED, clock circuit, temperature control circuit, alarm circuit and power supply circuit. It is featured as connecting CPU processor to FPGA being connected with storage and CAN bus interface as well as MVB bus interface, connecting MVB bus interface to CPU processor through buffer and connecting CPU processor to universal communication interface.

The invention relates to a method for planning dynamic lines of urban public transport, in particular to a method for processing vehicle dispatching data by utilizing GPS data uploaded by a vehicle-mounted terminal through an urban public transport control center. The method solves the problems that the acquisition of road congestion information and dynamic line planning decision-making are severely lagged behind. The method comprises the following processes of: inputting information of all vehicles, sites, lines and road sections to be monitored into a database and establishing relevant corresponding relation tables; uploading and storing real-time GPS data into the database through mobile communication by the vehicles of all the lines; according to the real-time GPS data of the vehicles of all the lines, evaluating and recording the congestion degree of all road sections to be monitored by the database; formulating planning line options by utilizing GIS maps and sorting planning line options for preferable adoption according to the congestion degree of all road sections to be monitored by the control center; and storing the selected planning line options into the database as new lines and issuing the new lines to the vehicles of the lines through mobile communication by the control center.

The invention discloses an on-line automobile aluminium alloy hub blank deformation measurement method and a measurement device which relate to the field of automated measurement. The measurement device comprises a test table, a pneumatic clamping mechanism, an air cylinder lifting mechanism, a hub-rotating mechanism, two laser sensors, a motion control module, an industrial personal computer for storing and processing data, and data processing software. By scanning a hub blank in all directions, the measurement device can simultaneously measure the wheel rim deformation and the center axial deformation of the hub blank, thus achieving the effects of high measurement accuracy, more measurement points, high speed and high reliability, automatically measuring the hub blank on line, and increasing the production efficiency of enterprises. The process of measurement is automatic, measurement can be adapted to harsh environments, and cannot be affected by vibration, smoke or humidity, the total measurement time is 30 seconds, the measurement precision is 0.02mm, and the actual demand on measurement can be satisfied.

The utility model relates to a manufacture method for test samples, in particular to a manufacture method for test samples, which comprises the steps of mould manufacturing, resin melting, rock sample fusing, and mould polishing. The manufacture method for test samples can solve the problem that a plurality of special rocks are hard to sample completely; in the way, test can be implemented by using a plurality of very small rocks. Secondarily, materials can be sufficiently used by the manufacture method; rock blocks or rock debris remained by mining can be used; and for certain expensive minerals, the advantage of the manufacture method can be obviously shown. In addition, compared with a traditional method, the manufacture method has quick sample manufacture speed, and is more practical,simpler and convenient.

The invention discloses a reinforced concrete beam precrushing device. The reinforced concrete beam precrushing device comprises a workbench, a shearing device, a crushing device and a moving device used for moving reinforced concrete beams. A track used for allowing the reinforced concrete beams to move is arranged on the workbench. The shearing device and the crushing device are fixed on the workbench and are above the track. The moving device is movably arranged at one end of the track and moves from one end of the track to the other end of the track. Hydraulic power is adopted for static pressing shearing and crushing of the large reinforced concrete beams, reinforced concrete is rapidly crushed, rebars and concrete are separated, the speed is high, the yield is high, the noise is low, dust is few, the automation degree is high, the worker labor intensity is low, and thus a quite environmentally friendly mechanical crushing method is achieved. The reinforced concrete beam precrushing device has the advantages of being simple in structure, convenient to operate and maintain, safe, efficient, environmentally friendly and the like.

The invention discloses a network data acquisition method, which comprises the following steps of: establishing network connection; detecting the connection status of a network; judging whether the connection status of the network meets preset conditions or not; and if the connection status of the network is judged to meet the preset conditions, automatically downloading data required by current application associated hierarchies, and locally saving the data. In the network data acquisition method, the connection status of the network is judged whether to meet the preset conditions or not, and if the connection status of the network is judged to meet the preset conditions, the data required by the current application associated hierarchies is downloaded and locally saved, so idle or remaining network resources are fully utilized, network access speed is remarkably increased, and user experiences are improved. In addition, the invention also provides a network data acquisition system.