777results about How to "Reduce mismatch" patented technology

Methods, apparatus and computer programs have been provided for mitigating a problem of non-optimal recovery from storage device failures. A method involves determining a required write performance for rebuilding data of a failed device, based at least partly on the potential read performance of storage devices in a data rebuild; and allocating a virtual storage area within available storage, which allocation of virtual storage is based at least partly on the required write performance. Data is rebuilt by writing to the allocated virtual storage area, and data recovery is completed by migrating this rebuilt data to at least one data storage device such as a spare physical storage device within the array.

The invention relates to a nonpolar A side nitride film that comprises a silicon (102) underlay, metal layer which grows upon the silicon underlay sequentially, InGaAlN initial growth layer and the first InGaAlN buffer layer, it characterized in that: said silicon underlay is Si underlay which adopts the (102) side or offset angle. The nonpolar a side nitride film which grows on the silicon underlay can be used in LBD, laser, solar battery. The component extension configuration is adopted according to different component, for example the LBD and laser, and using the mature silicon craft further to produce relative diprosopia electrode component or peeling off component. The advantages of the invention are: the invention can increase the growth quality of nonpolar GaN base material, and decrease the cost; the craft of current component can be simplified greatly, the cost can be decreased, and increase the elimination efficiency and lightening efficiency greatly.

A system and method combines information from a plurality of medical imaging modalities, such as PET, CT, MRI, MRSI, Ultrasound, Echo Cardiograms, Photoacoustic Imaging and Elastography for a medical image guided procedure, such that a pre-procedure image using one of these imaging modalities, is fused with an intra-procedure imaging modality used for real time image guidance for a medical procedure for any soft tissue organ or gland such as prostate, skin, heart, lung, kidney, liver, bladder, ovaries, and thyroid, wherein the soft tissue deformation and changes between the two imaging instances are modeled and accounted for automatically.

A dual- or quad-ridged horn antenna with an embedded impedance matching network is provided herein. According to one embodiment, the horn antenna may include at least one pair of ridges arranged opposite one another for guiding an electromagnetic wave there between. A transmission line is coupled to a first one of the ridges for supplying power to, or receiving a signal from, a feed region of the horn antenna. To reduce impedance mismatches between the transmission line and the ridges, an impedance matching network is embedded within a second one of the ridges at the feed point. The impedance matching network reduces impedance mismatch and extends the operational frequency range of the horn antenna by providing a sufficient amount of series capacitance between the transmission line and the ridges at the feed region. As set forth herein, the impedance matching network is preferably implemented as an open-circuit transmission line stub or capacitive stub.

The invention discloses a semi-supervised mechanical fault diagnosis method based on an adaptive migration neural network, and the method comprises the steps: firstly obtaining a plurality of source domain fault data sets composed of source domain fault training samples and corresponding tags, and a plurality of target domain fault data sets composed of target domain fault data without tags, wherein the target domain fault data is divided into a target domain fault training sample and target domain fault test data; normalizing the data; constructing an adaptive migration neural network diagnosis model, supervising the training model and constructing a classifier loss function by using the source domain fault data set, constructing a classifier discrimination loss function, and performing adversarial training on the feature extractor and the classifier by using the target domain fault training sample; inputting the target domain fault test data into the trained model, and summing and averaging the two output probability values to obtain a final classification diagnosis result. The method can improve the discrimination capability of the fault data of the target domain, and effectively improves the intelligent fault diagnosis task under the actual variable working condition.

Described herein are Fc variants and methods for the efficient production of antibodies and other multimeric protein complexes (collectively referred to herein as heteromultimeric proteins). Heteromultimeric proteins may be capable of specifically binding to more than one target. The targets may be, for example, different epitopes on a single molecule or located on different molecules. The methods combine efficient, high gene expression level, appropriate assembly, and ease of purification for the heteromultimeric proteins. The invention also provides methods of using these heteromultimeric proteins, and compositions, kits and articles of manufacture comprising these antibodies.

The invention discloses a method and system for increasing judgment accuracy of monoisotopic peaks. The method comprises the following steps: according to selected tandem mass spectrums, determining candidate isotopic peak clusters; according to the similarity and the strength ratio of the chromatographic outflow curves of the candidate isotopic peak clusters, determining the start and stop of the isotopic peak clusters; according to the start and stop of the isotopic peak clusters, determining the quality of the monoisotopic peaks; and judging whether the monoisotopic peaks of the tandem mass spectrums are not determined or not, if yes, returning and selecting a new tandem mass spectrum to determine a candidate isotopic peak cluster, and if not, ending.

The invention discloses an understanding method of a non-parametric RGB-D scene based on a probabilistic graphical model. The method comprises the steps of carrying out global feature matching between a marked image and an image marked in a training seat, and building a retrieval set of a similar image of an image to be marked; cutting the image to be marked and the image in the similar image retrieval set, so as to generate super-pixels, and carrying out characteristic extraction on the super-pixels extracted; calculating the proportions of all categories in the training set, building a dictionary of rare categories, and taking the training set and the retrieval set of the similar images as a label source of the image to be marked; carrying out characteristics matching on each super-pixel of the image to be marked and all super-pixels in an image label source; and building a probabilistic graphical model, converting the maximum posterior probability into a minimal energy function by using a Markov random field, and resolving the semantic annotation of each super-pixel of the image to be marked obtained by solving the problem through a graph cutting method. According to the method provided by the invention, the overall and local geometric information can be integrated, and the understanding performance of the RGB-D scene can be improved.

An insert for forming an end connection in a uni-axial composite material, and an end connection comprising at least one insert, is disclosed. The insert comprises a sleeve which comprises a plurality of fibres having a multi-axial arrangement. At least a portion of the interior surface of the sleeve comprises a thread formation. A method of forming an end connection in a uni-axial composite material is also disclosed. The method comprises providing a sleeve comprising a plurality of fibres having a multi-axial arrangement and providing a thread formation on at least a portion of the interior surface of the sleeve. The sleeve is positioned and secured within the uni-axial composite material.

A semipolar plane III-nitride semiconductor-based laser diode or light emitting diode, comprising a semipolar Indium containing multiple quantum wells for emitting light, having Aluminum containing quantum well barriers, wherein the Indium containing multiple quantum well and Aluminum containing barriers are grown in a semipolar orientation on a semipolar plane.

A segmented slope compensation circuit applicable to a BUCK converter belongs to the technical field of an electronic circuit. An oscillator circuit is used for introducing output voltage informationof the BUCK converter, a negative input end voltage of an operational amplifier is clamped to a positive input end voltage thereof, a first capacitor is charged by a current mirror, the negative inputend voltage, namely a slop voltage signal, of the operational amplifier is obtained, the slop voltage signal is compared with a second reference voltage to obtain a periodic slope voltage signal, a slope current generation circuit is used for generating compensation slopes with different slope rates under different duty ratios, a slope voltage correlated to the duty ratios is generated on a sampling resistor after passing through a slope summing circuit, and a base current compensation circuit is used for stabilizing a system. Compared with a traditional slope compensation circuit, the segmented slope compensation circuit has the advantages that the system stability is improved by employing different slope compensation rates under different duty ratios; and with the adoption of a triode as a buffer, the segmentation accuracy is improved.

The invention belongs to the field of machine vision and relates to a polar correction based sub-pixel level phase three-dimensional matching method. The polar correction based sub-pixel level phase three-dimensional matching method mainly aims at the problem of three-dimensional matching efficiency and accuracy in a three-dimensional measuring system through a binocular structure projection gate phase method. According to the polar correction based sub-pixel level phase three-dimensional matching method, a binocular three-dimensional visual geometric structure is calibrated into a head-up binocular standard geometric structure, phases formed by a matching point in a left camera and a right camera are in the same horizontal line, a dense phase value of a calibrated new phase graph is obtained through bilinear interpolation, a phase area based three-dimensional matching algorithm is provided, an initial matching point is obtained, similarities within a 3*3 area close to the initial matching point are fit into a quadric surface through least square method based surface fitting, a local minimum of the surface is obtained, and coordinates of a right camera matching point with the same phase as a to-be-matched point are obtained. The polar correction based sub-pixel level phase three-dimensional matching method can rapidly and accurately achieve dense three-dimensional matching and satisfies a requirement for industrial applications.

Method for reducing the time needed to perform geophysical inversion by using simultaneous encoded sources in the simulation steps of the inversion process. The geophysical survey data are prepared by encoding (3) a group of source gathers (1), using for each gather a different encoding signature selected from a set (2) of non-equivalent encoding signatures. Then, the encoded gathers are summed (4) by summing all traces corresponding to the same receiver from each gather, resulting in a simultaneous encoded gather. (Alternatively, the geophysical data are acquired from simultaneously encoded sources.) The simulation steps needed for inversion are then calculated using a particular assumed velocity (or other physical property) model (5) and simultaneously activated encoded sources using the same encoding scheme used on the measured data. The result is an updated physical properties model (6) that may be further updated (7) by additional iterations.

The invention provides a mobile robot V-SLAM method of a three-stage point cloud registration method. The V-SLAM method comprises the following steps: S1, acquiring RGB information and Depth information of the surrounding environment; 2, generate three-dimensional point cloud data; 3, extract that ORB image feature from the obtained RGB image, and match the feature of the point set elements by adopting FLANN; S4, screening the point pairs of the RGB map through the RANSAC sampling strategy so as to obtain the interior points to complete the preprocessing stage; S5, completing the initial registration stage of the point cloud by adopting the corresponding point double distance threshold method based on the rigid body transformation consistency; S6, a dynamic iterative angle factor ICP precision registration method is introduced to complete the precision registration phase when the initial posture is good; S7, the key frame selection mechanism of sliding window and random sampling is introduced in the back end, and the g2o algorithm is used to optimize the robot posture trajectory, so as to realize the reconstruction of three-dimensional point cloud environment The invention can improve the registration accuracy and registration efficiency of the point cloud map in the environmental three-dimensional reconstruction.

At least one embodiment of a method of transmitting data between a server device and a client device includes receiving, from the client device, an HTTP request to obtain first data, wherein the HTTP request includes first data identifying information allowing identification of the first data on the server device and includes one or more additional header fields, retrieving and sending the first data to the client device, identifying a set of second data that can be pushed to the client device, as a function of a first indication contained within the one or more additional fields, identifying a subset of the set of second data, as a function of a second indication that is not derived from the received HTTP request, and pushing data of the identified subset of second data to the client device.

The invention provides a scene depth obtaining method based on an integration image technology. The method comprises the following steps of (1) obtaining an integration image, (2) extracting a view, (3) carrying out parallax analysis and depth calculation on the view, and (4) carrying out multi-base-line matching and calculation. The method is a depth obtaining method of passive visual inspection, does not need to use a special light source and can obtain depth information under natural light. Compared with traditional binocular machine visual equipment, the system is compact and small in structure, is convenient to image, and does not need to carry out calibration and correction among different cameras. The depth of field is larger than that of a traditional camera with the same camera aperture, and under the action of auxiliary adjustment of a main lens, a better imaging effect can be achieved for a far-field scene. A multi-base-line algorithm is adopted, and the reliability and stability for obtaining the depth information can be further improved.

The invention provides a multi-vision image dense coupling fusion method and system based on multiple characteristics and multiple constraints. The method comprises the following steps: according to the multiple constraints, respectively selecting a plurality of images to be coupled for each reference image, obtaining to-be-coupled image sets, and the reference images and corresponding coupling image sets form coupling models; for each coupling model, by use of multi-vision constraint conditions, carrying out half global dense coupling to directly generate a dense coupling result of a single coupling model, and obtaining a corresponding elevation graph; according to elevation smooth constraints between grid points, under the condition of a minimum global energy function, carrying out fusion on the dense coupling results of the multiple coupling models; and through combination with surface characteristics and line characteristics, carrying out point cloud optimization to generate final point clouds. According to the technical scheme provided by the invention, a reasonable stereo image pair can be automatically selected, coupling results are enabled to be more accurate and reliable by use of multi-vision information, optimal multi-vision fusion results with global significance can be obtained, and the point clouds generated through the optimization are finer.

The invention provides a sub-pixel level stereo matching method based on a scale space. The method comprises the following steps of: (1) establishing the scale space for a stereopair; (2) determining the size of a matching window for each point of a current level reference image in the scale space; (3) calculating a parallax searching range for each point of the level reference image according tothe parallax of the former level; (4) calculating an integer-grade parallax of the current level in the scale space; and (5) calculating a sub-pixel level parallax through a sub-pixel level matching method based on binary search. The method of the invention uses the stereopair generated under the condition of small height ratio to match; a dispersed scale space is used in the matching process to improve the matching efficiency; a bonding phenomenon generated in the matching process is reduced by using a mixed window selecting strategy; and the sub-pixel level parallax is obtained by the sub-pixel level matching method based on the binary search so as to ensure high sub-pixel level precision, and greatly improve matching efficiency of the algorithm.

The invention discloses high-plasticity two-phase yttrium-containing magnesium-lithium-aluminum alloy and a preparation method thereof. The alloy comprises the following specific components in percentage by weight: 9.50-10.80% of Li, 3.00-5.00% of Al, 0.50-0.70% of Y, 0.10-0.30% of Zr and the balance of Mg; the alloy has the structural characteristics that an alpha phase, a beta phase and a precipitated phase exist at the same time, wherein the alpha phase is a Mg-based solid solution and is in a close-packed hexagonal structure, the beta phase is a Li-based solid solution and is in a body-centered cubic structure, and the precipitated phase is a rare earth compound Al2Y; and the alloy has the characteristics of low density, high plasticity and higher strength. The preparation method disclosed by the invention is a normal-temperature plastic deformation method which combines casting with equal channel angular extrusion or traditional extrusion deformation process; and compared with the traditional high-temperature deformation process, the preparation method has good practicality and is simpler and more convenient to operate, and can be used for effectively lowering the production cost, thus the preparation method has good industrial production prospects.

The invention discloses a composite coating of diamond/W-C gradient structure, and a preparation method thereof. The composite coating is characterized in that a composite coating which takes a W-C gradient structure as a transition layer and takes a diamond coating as a wearable coating is formed on a WC-Co hard alloy; the preparation method comprises the steps as follows: the hard alloy is used as a sample; a surface layer WC is dipped in Murakami reagent so as to form a Co-rich layer; subsequently, pure tungsten is taken as target material and argon and carbonaceous gas are used as reaction gases to prepare the W-C gradient structure of different structures as the transition layer by a reaction sputtering method by adjusting the concentration of carbonaceous active gas in the reaction gas, thus preparing the diamond wearable coating by a chemical vapor deposition technique. The composite coating solves the problem of the bonding strength of the film/substrate and ensures the surface smoothness of the diamond film.

The invention discloses a map matching method and device. After candidate roads adjacent to obtained vehicle global positioning system (GPS) track points are determined, a matching factor value of each GPS track point relative to each candidate road can be determined according to selected matching factors comprising state characteristic factors for reflecting driving state characteristic matching degrees of the GPS track points relative to the candidate roads, the matching weight of each GPS track point relative to each candidate road is determined, and the candidate roads with the sum of matching weights of each GPS track point relative to the candidate roads meeting the preset conditions are selected to serve as roads matched with the obtained GPS track points. That is, in the solution, corresponding matching roads can be selected by increasing matching factors capable of reflecting the driving state characteristic matching degrees of the GPS track points relative to the candidate roads, and accordingly the goal of improving accuracy of map matching results is achieved on the basis of reducing mismatching.

The invention relates to a hierarchical FPGA layout and wiring method based on a multi-level method and empowerment hypergraph. A mathematical model of a logical netlist in a hierarchical FPGA layout and wiring process is constructed by using empowerment hypergraph; circuit logic units are represented as nodes in the empowerment hypergraph; wiring among the circuit units is expressed as overrides in the empowerment hypergraph. The multi-level method is adopted as a hierarchical FPGA layout and wiring method to effectively meet the higher requirements of VLSI on the operating efficiency and processing capacity. The method can gradually reduce the scale of problems and the time complexity of methods by bottom up cluster stage and also can process details of problems level by level, increasing solution accuracy of methods by means of top-down projection optimization so as to be naturally combined with hierarchical features of researched objects. By means of the hierarchical FPGA layout and wiring method based on the multi-level method and empowerment hypergraph, the time complexity of FPGA physical design can be effectively reduced and the design capability and performance of FPGA are increased.

This invention discloses a method for preparing large-volume cadmium zinc telluride (CZT) single crystal. The method comprises: (1) selecting high-melting-point CZT single crystal as the seed crystal; (2) coating a carbon film on the inner side of a quartz ampoule, placing CZT seed crystal in the seed crystal bag at the bottom of the ampoule so that the seeding growth surface of CZT seed crystal is upward, then adding low-melting-point CZT polycrystal, vacuumizing the quartz ampoule, and sealing by welding; (3) placing the quartz ampoule into an ACRT-B type crystal growth apparatus, heating the temperatures of the high-temperature zone and the low-temperature zone to 1135-1145 deg.C and 1030-1040 deg.C within 18-20 h, overheating for 12-16h, and descending the supporting bar at a speed of 0.8 mm/h for 200-240 h; (4) cooling the high-temperature zone and the low-temperature zone to 870-890 deg. within 5-6 h, annealing the crystal ingot in situ for 144-168 h, then slowly cooling to 550-560 deg.C at a rate of 5 deg.C/h, shutting off the power source, and cooling to room temperature. The method can obtain large-volume CZT single crystal, and increase the single crystal ratio in the crystal ingot.