101results about How to "Speed advantage" patented technology

A process and apparatus for implementing parallelization in deblocking filter used in a an H.264 codec are disclosed. In the preferred embodiment, the process is carried out on a parallel architecture consisting of a plurality of groups, each consisting of eight clusters, wherein each cluster is a separate processor capable of tensor operations in SIMD or MIMD or mode on 4×4 matrix data. All eight clusters of one group are used to simultaneously deblock both luma and chroma vertical and horizontal edges between 4×4 blocks of pixels in a macroblock in a total of eight iterations, utilizing in the best way the data dependency between the edges. Processes to deblock these same luma and chroma edges in more iterations on four cluster and two cluster parallel architectures are also disclosed. A comparison of the maximum parallelization achievable with the invention and the amount of parallelization with various species within the prior art is also disclosed.

A parse / build engine that can handle multi-format financial messages. The engine converts the different format messages into a common format, and the common format message is then processed by the business service application. A parser examines the message and determines an appropriate schema for the particular format of message received. The schema is a data structure in a schema registry that includes a grammar structure for the received format as well as pointers to handlers for converting the different fields of the message into the internal message format using the grammar structure (the “grammar” can include field sequence, field type, length, character encoding, optional and required fields, etc.). The handlers are individually compiled. As formats change, new formats or changes to old formats can be dynamically added to the parse / build engine by loading new schema and handlers.

The invention discloses an end-to-end object detection method based on a convolutional neural network. The method includes the following steps: (1) on the basis of a classic basic network structure, removing the last fully-connected layer of the classic basic network, and adding an extra layer so as to establish a convolutional neural network model; (2) randomly selecting, from an original training data set, an original image, obtaining an amplified image through data amplification, and obtaining the position and frame of an object image block, randomly selected from the original image, in the amplified image; (3) through the position and frame of the object image block in the amplified image obtained in the step (2), conducting regression on the convolutional neural network model in the step (2) to obtain model parameters, and thus obtaining a trained convolutional neural network model; and (4) utilizing the trained convolutional neural network model to detect a bounding box and a classification of an object in an image to be detected. Direct regress of a central point coordinate, the width, the height and the classification of the object is adopted by the method. Compared with similar methods, the method has a significant advantage in terms of speed.

Response latencies in a system are reduced by performing a plurality of auctions in parallel using respective processing threads. An ad call associated with an impression for a webpage requested by a user computer is received by the system. Impression information is obtained from the ad call, which is then used to determine a subset of multiple potential impression providers that are to participate in an auction for the impression. Behavior models are used to determine the subset, while floor or reserve price models are used to set a floor / reserve price for each potential impression provider in the subset. Bid requests are sent out in parallel to the subset of potential impression providers using the respective floor / reserve prices, with a thread allocated to each bid request. The models can be further trained on information obtained from the received bid responses and impression information.

The present invention is based on the encoding of sequential data or sequences in a novel manner that permits efficient storage and processing of sequential data, as well as methods for searching sequences or databases of sequences. The methods and systems of the current invention may be adapted broadly to various fields of application and to a variety of sequences types. For example, the current invention has broad application including to the fields of bioinformatics, molecular biology, pharmacogenomics, phonetic sequences, lexicographic sequences, signal analysis, game playing, law enforcement, biometrics, medical diagnosis, equipment maintenance and micro-array data analysis.

A depth image automatic registration process combining with texture information is mainly used to reconstruct the three-dimensional model of various actual objects, which comprises the steps: firstly extracting a texture image from scanning data or generating a texture image according a depth image, secondly extracting interest pixels in the texture image based on the characteristics of SIFT, and finding out candidate sets therein matched with the interest pixels through the crosscheck method, thirdly finding out correct matched pixel pairs in the candidate sets according to geometry information constraint, fourthly finding out matched apex pairs corresponding to the matched pixel pairs in a three-dimensional space, and calculating the rigid replacement matrix between two depth images, fifthly optimizing the result through using the improved ICP algorism, sixthly dividing the input sequences of several depth images into a plurality of bar type subsequences based on the registrations of two depth images, finally combining the subsequences through the strategy of forward searching, and constructing an integral three-dimensional model. The invention can fast register large-scale three-dimensional scanning data to generate a three-dimensional model, and has strong anti-noise capability and excellent universality.

A method is provided for serial data transmission in a bus system having at least two bus subscribers, which exchange messages via the bus, the send access to the bus for each message being assigned to a bus subscriber by the arbitration method according to CAN Standard ISO 11898-1; it being decided as a function of a suitable identification (EDL) which result from one of the CRC calculations started in parallel is used for checking the correct data transmission; for at least one value of the identification an additional condition being checked, and in response to its presence, fixed stuff bit sequences from one or more bits are inserted into the message by the sender, at least into parts of the message.

The invention discloses a method for detecting a text in a natural scene with a robust shape. The method comprises the following steps: step 1, preprocessing a training picture in a text data set; step 2, establishing a PSENet progressive scale growth network, and finishing feature extraction, feature fusion and segmentation prediction on the training picture by utilizing the progressive scale growth network to obtain segmentation results of a plurality of prediction scales; step 3, carrying out supervised training on the PSENet progressive scale growth network established in the step 2 to obtain a detector model; step 4, detecting the to-be-detected picture; and step 5, obtaining a final detection result by using a scale growth algorithm.

An aqueous acidic polymerization liquid comprising polymerisable monomers or oligomers with carboxylate and / or carboxylic acid moiety or moieties, and basal surface modified clay that is homogenously dispersable in said liquid is provided, and also methods for making such liquids, and also surface-modified-clay linked water-absorbing polymers made with said liquids and methods, and disposable absorbent articles comprising such surface-modified-clay linked water-absorbing polycarboxylate / polycarboxylic acid polymers.

A tool for generating a force downhole comprises a body, a longitudinally movable activating member mounted to the body, and a longitudinally movable driven member also mounted to the body. The driven member is operatively associated with the activating member such that on translation of the activating member in one axial direction, the driven member is translated in an opposite axial direction. The tool may be utilised to convert a pulling action, applied by a spoolable member, to a pushing action, useful in disengaging a downhole lock.

A low-resolution face recognition method and apparatus Aiming at the problem of face recognition at low resolution, Especially for the low-resolution face recognition problem in natural environment, the dual-stream depth learning network structure is adopted to train the high-efficient low-resolution face recognition network by selective knowledge distillation, and the low-resolution face recognition is realized. The low-resolution face recognition network has the precision, the speed and the memory advantages close to the high-resolution face recognition model.

A quadrature output high-frequency RF divide-by-two circuit includes a pair of differential complementary logic latches. The latches are interconnected to form a toggle flip-flop. Each latch includes a tracking cell and a locking cell. In a first embodiment, the locking cell includes two complementary logic inverters and two transmission gates. When the locking cell is locked, the two gates are enabled such that the locked (i.e., latched) signal passes through both transmission gates and both inverters. In one advantageous aspect, the tracking cell only involves two transmission gates. Due to the circuit topology, the first embodiment is operable from a low supply voltage at a high operating frequency while consuming a low amount of supply current. In a second and third embodiment, the tracking cell involves a pair of inverters. The sources of the transistors of the inverters are, however, coupled together thereby resulting in performance advantages over conventional circuits.

The method includes to steps: (1) constructing exponent matrix of parity check matrix of QC-LDPC codes; (2) using exponent expansion to convert the exponent matrix to parity check matrix H of QC-LDPC codes. When iterative decoding, code error rate of the constructed QC-LDPC codes is lower than the rate of traditional PEG algorithm obviously (specially, in condition of high SNR), and algorithm complexity is mach lower than algorithm complexity of traditional algorithm so that the constructing speed is much fast than speed of traditional method. Moreover, when constructing QC-LDPC codes, the disclosed method can control each parameter for generating code flexibly.

A method and a control sequence determination device for the determination of a magnetic resonance system activation sequence including at least one high-frequency pulse sequence to be transmitted by a magnetic resonance system are provided. A current B0 map and optionally a target magnetization are acquired. In addition, a k-space trajectory type is determined. An error density is calculated in a k-space based on the current B0 map and optionally based on the target magnetization using an analytic function. This analytic function defines an error density in the k-space as a function of the current B0 map and optionally the target magnetization. Taking account of the error density in the k-space, a k-space trajectory of the specified k-space trajectory type is determined. The high-frequency pulse sequence is determined for the k-space trajectory in an HF pulse optimization process.

The invention relates to a filtration method of real-time junk e-mails, and the method is used for filtering a junk e-mail at a network interconnection point. The method comprises the following steps: step one, a path combination P is constructed according to the routing information in the e-mail, and the path combination P is a sending correspondent and a receiving correspondent, and / or a sending correspondent and an information destination; step two, attribute space mapping is performed to the IP address or the domain name of the elements in the path combination P according to IP address mapping or domain name mapping; steps three, whether the current e-mail is a junk e-mail is determined according to the attribute space mapping result of each element in the path combination P, if the e-mail is a junk e-mail, step four is executed, otherwise, the current e-mail is not processed; step four, the current e-mail is filtered. In the invention, only the mail order and the content in the header are analyzed, the processing speed is quick, the network resource utilization rate can be improved, and simultaneously, the filtration pressure at a user terminal can be relieved.

The present invention relates to a multi-layer oriented shrink film comprising a first and a second skin layer comprising a propylene-based polymer having a melting point greater than 130 C and at least one core layer comprising a propylene-based plastomer or elastomer. The films are preferably primarily oriented in either the machine or the cross direction. These films are ideally suited for use as a shrink label which can be applied either as a CD shrink sleeve or applied using a continuous roll process. The films ideally have an overall density of less than 1.0 g / cm3, to facilitate recycling efforts.

The invention discloses a metal identification method based on information entropy and belongs to the image identification technology field. The method is characterized by firstly, carrying out multistage wavelet transformation on a sample image; then, using a K mean value algorithm to carry out identification for one time; for a sample which is not identified, analyzing a transformed multistage wavelet transformation entropy value; and using a decision tree algorithm to carry out the identification for the second time. In the method, through multilevel identification, an identification speed is increased and simultaneously algorithmic accuracy is guaranteed. An algorithm speed is fast, an accuracy degree is high, identification efficiency is high too and a real-time performance requirement can be satisfied. The method supports parallel processing. Equipment needed during identification is simple and environmental-protection. The method has wide applicability. The method is suitable for identification of copper, aluminum alloy and stainless. Under the condition that there are sufficient samples, because hardness and colors of different metal and alloy are different to some extent, the method can be used for distinguishing various kinds of non-ferrous metal.

The embodiment of the invention relates to the field of communication, and particularly relates to a satellite ground station communication system on the move and a communication method thereof which are used for improving the network utilization rate. In the embodiment of the invention, mobile communication signals transmitted by a base station are received; the satellite ground station communication system on the move is determined to perform communication through a mobile communication system under the condition that the intensity of the received mobile communication signals is determined to be not less than a threshold. In the embodiment of the invention, a communication system of the satellite ground station communication system on the move is flexibly selected according to the intensity of the received mobile communication signals transmitted by the base station and the threshold; under the condition that the intensity of the received base station signals of the satellite ground station communication system on the move is not less than the threshold, users can select the mobile communication system to perform communication, and the mobile communication system has advantages in tariff and rate compared with a satellite communication system, so that a circumstance that the users do not use the network to perform communication because of high tariff caused by application of the satellite communication system can be avoided, and thus the network utilization rate can be improved.

A method is provided for serial data transmission in a bus system having at least two bus subscribers, which exchange messages via the bus, the send access to the bus for each message being assigned to a bus subscriber by the arbitration method according to CAN Standard ISO 11898-1; it being decided as a function of a suitable identification (EDL) which result from one of the CRC calculations started in parallel is used for checking the correct data transmission; for at least one value of the identification an additional condition being checked, and in response to its presence, fixed stuff bit sequences from one or more bits are inserted into the message by the sender, at least into parts of the message.

A method is described for serial data transmission in a bus system having at least two subscribed data processing units that exchange messages via the bus, the transmitted messages having a logical structure in accordance with CAN standard ISO 11898-1, the logical structure including a start-of-frame bit, an arbitration field, a control field, a data field, a CRC field, an acknowledge field and an end-of-frame sequence, the control field including a data length code, which contains information regarding the length of the data field. When a first switchover condition is satisfied, the data field of the messages, in contrast to CAN standard ISO 11898-1, may comprise more than eight bytes, the values of the four bits of the data length code being interpreted at least partially in deviation from CAN standard ISO 11898-1 for determining the size of the data field when the first switchover condition is satisfied.

The invention discloses a ship target detection method based on anadaptive layered high-resolution SAR image. The method comprises the steps that firstly a visual attention mechanism combining an image domain and a frequency domain is constructed, not only can better maintain the details of a saliency map, but also has an obvious speed advantage compared with other attention mechanisms; secondly,a candidate target region segmentation threshold value is obtained by adopting a mean dichotomy, so that instability caused by hard threshold value selection is eliminated; and finally, ship target fine detection is carried out by using a frequency domain accelerated block kernel density estimation method. Calculation burden caused by super-pixel segmentation is avoided due to the idea of region partitioning. The mismatch risk of a clutter model is eliminated through kernel density estimation. In addition, the execution efficiency of the detection method is further improved through a frequencydomain acceleration method of the detection method. In addition, compared with an existing high-resolution SAR image ship target detection method, the method has the advantages that the constant false alarm characteristic can be kept while the target is detected.

The invention discloses a hydraulic variant control obstacle-crossing vehicle which comprises a vehicle body and a traveling mechanism. The traveling mechanism comprises executing elements. Each executing element comprises a spoke hydraulic mechanism and a horizontal hydraulic mechanism. Each spoke hydraulic mechanism comprises a plurality of wheel track telescoping structures which are uniformly distributed on the periphery of a corresponding wheel. Each wheel track telescoping structure comprises a wheel track, a spoke and a spoke hydraulic cylinder, the wheel track is connected with one end of the spoke, the other end of the spoke is connected with the spoke hydraulic cylinder, and the spoke hydraulic cylinder controls the spoke and the wheel track to stretch and retract in the longitudinal direction. each horizontal hydraulic mechanism comprises axles and a horizontal hydraulic cylinder. Compared with the prior art, the hydraulic variant control obstacle-crossing vehicle has the beneficial effects that (1) the advantages of wheels and a leg-type moving mechanism in the aspects of speed and obstacle-crossing capacity are integrated; and (2) a hydraulic transmission system is adopted according to the characteristics that an executing mechanism is provided with a large number of hydraulic cylinders and is large in stress.

This disclosure concerns an adaptive repair method, for example for aerofoil blade components. The method generates a digitised model of a physical component and uses data from the digitised model to align a part of the physical component with a nominal CAD model of the component. A combination of the digitised data and data from the nominal CAD model are then used to create an adapted model for repair of the component.

The invention discloses a long-time face tracking method based on an intelligent cloud platform of a patrol robot. The method comprises the steps that an adaboost face detection module is used to carry out face detection in a region of interest in an input video image frame; a detected face is initialized; a face tracking module tracks the initialized face, and if tracking is effective, a face template updating module is started to update a face template; and if tracking is ineffective, a template matching face detection module is started to carry out template matching detection of the detected face. According to the invention, the face is detected in higher instantaneity, the modules are tracked and learnt, the speed is higher, a target which is lost in tracking can be relocated, the face can be tracked in long time, and multi-target tracking is in real time.

The invention belongs to the technical field of radar SAR image registration, and discloses an improved Lapras multi-extremum inhibition-based SAR image registration method. The method comprises the following steps of: obtaining a reference SAR image and a to-be-matched SAR image, and respectively establishing SAR-Harris angular point response spaces of the two images; respectively extracting angular point coordinates of the SAR-Harris angular point response spaces; respectively positioning the angular point coordinates of the SAR-Harris angular point response spaces, determining a greyscale statistic value of a local neighborhood area of each angular point, determining a main direction of each angular point, and forming angular point feature vectors of the angular points of the two images; comparing the angular point feature vectors of the angular points of the two images to obtain matching point pairs of the two images; and carrying out image registration on the to-be-matched SAR image according to the matching point pairs of the two images, so as to improve the instantaneity and accuracy of the SAR image matching.

The invention provides a storage controller. A single-layer cell storage array is integrated into the storage controller and replaces part or all of data buffers, so that the integrated single-layer cell NAND storage array has the advantages of being small in storage unit size, low in cost, low in power consumption, nonvolatile and the like, and the novel NAND storage controller of the structure is suitable for the application field with high requirements on power consumption, cost or capacity. In addition, if a certain application environment has quite high requirements on speed, the single-layer cell NAND array can be taken as a second-stage data buffer to be together with a first-stage SRAM or DRAM buffer to form a mixed data buffer, so that the objective of high-speed reading and writing is achieved, and the advantages of small cell size, low cost, low power consumption, nonvolatility and the like are realized.

The invention relates to the field of artificial intelligence and medical treatment, in particular to a training method, a diagnosis system and related equipment for a turner syndrome diagnosis model,and aims to improve the accuracy. The training method of the turner syndrome diagnosis classification model comprises the following steps:classifyinginput image samples according to labeling information of data samples, andgeneratingcorresponding training samples and test samples according to a preset proportion; respectively constructing different initial medical classification models based on multiple neural network bases; inputting the training sample into each initial medical classification model for training and parameter adjustment to obtain a corresponding intelligent diagnosis medicalclassification model; and respectively inputting the test samples into each intelligent diagnosis medical classification model for classification, and selecting a turner syndrome diagnosis classification model according to a classification result. The diagnosis system provided by the invention comprises the diagnosis classification model obtained by training through the method, associates the same parts in the photos at different angles, extracts more potential features, and improves the accuracy.

A method is described for serial data transmission in a bus system having at least two subscribed data processing units that exchange messages via the bus, the transmitted messages having a logical structure in accordance with CAN standard ISO 11898-1, the logical structure including a start-of-frame bit, an arbitration field, a control field, a data field, a CRC field, an acknowledge field and an end-of-frame sequence, the control field including a data length code, which contains information regarding the length of the data field. When a first switchover condition is satisfied, the data field of the messages, in contrast to CAN standard ISO 11898-1, may comprise more than eight bytes, the values of the four bits of the data length code being interpreted at least partially in deviation from CAN standard ISO 11898-1 for determining the size of the data field when the first switchover condition is satisfied.