893results about How to "Avoid mismatch" patented technology

A multiple clip applicator system for tissue clamping of hemostasis includes clip devices of a train and a flexible sheath. To load the flexible sheath with clip devices, a coupling device is used. A shaft head is positioned on an operating wire in the flexible sheath. A receiving opening is formed in the coupling device, for receiving insertion of the shaft head, for mating by press-fit with the fastening clip device. The shaft head is a selected one of plural shaft heads which are different in a shape according to the plural multiple clip assemblies. The receiving opening is a selected one of plural receiving openings having a shape according to corresponding shapes of the plural shaft heads, and adapted to preventing a second shaft head from entry in a first receiving opening and preventing a first shaft head from entry in a second receiving opening.

In a method and a system (20) for creating or updating entries in a speech recognition (SR) lexicon (7) of a speech recognition system, said entries mapping speech recognition (SR) phoneme sequences to words, said method comprising entering a respective word, and in the case that the word is a new word to be added to the SR lexicon, also entering at least one associated SR phoneme sequence through input means (26), it is provided that the SR phoneme sequence associated with the respective word is converted into speech by phoneme to speech conversion means (4.4), and the speech is played back by playback means (28), to control the match of the phoneme sequence and the word.

A head mounted display (HMD) including a display screen attached to a housing and aligned to be in a line of sight of a first eye of a user, an optics module disposed in the housing, for generating an image and projecting a beam of the image on the display screen, and a non-display screen attached to the housing and aligned to be in a line of sight of a second eye of the user, wherein the image displayed on the display screen is displayed at a virtual display distance different than a distance at which an image of the non-display screen is perceived.

A control device includes: a receiver for receiving first information regarding the movement of a casing, and second information regarding whether to reflect the first information on the movement of coordinate values; a storage unit for storing a whole-screen region including a real-screen region, and a virtual-screen region set around the real-screen region; a generator for generating the coordinate values within the whole-screen region based on the first information; a switcher for switching a first state in which the coordinate values are movable, and a second state in which the coordinate values are immovable, based on the second information; a determining unit for determining which of the real-screen region or the virtual-screen region the coordinate values belong to; and a coordinate-value control unit for controlling the coordinate values so as to move the coordinate values within the virtual-screen region to the position of predetermined coordinate values within the real-screen region.

Various timing schemes can be used to synchronizing display functions with touch and/or stylus sensing functions for devices including a variable refresh rate (VRR) display. In a continuous-touch mode, for example, extended blanking can result in frame judder due to mismatch or latency between reporting of sensing data and the display. To minimize these issues, sensing operations can reset to re-synchronize with the display operation, and unreported data from sensing scans can be discarded or ignored. In some examples, a display frame can be divided into two sub-frames, and a system can be configured to perform a touch sensing scan during the first sub-frame of a display frame. At the conclusion of extended blanking, the sensing operations can reset to re-synchronize with the display. The touch sensing scan can be completed in one intra-frame pause and can begin at the start of the display frame.

The invention discloses a splicing method for measuring image data with large forgings assisted by lasers, and belongs to the field of image processing and computer vision detection. The method comprises the steps that two different laser devices are used for constructing feature points on a metal surface, and the image data can be spliced under complex working conditions; two sets of adjacent binocular cameras carry out image data rough matching through light spots projected by point laser devices, meanwhile, a conversion matrix is obtained, linear laser devices are used for projecting grids, the rough matching conversion matrix is adopted as an initial value, image data fine matching is carried out, and splicing is achieved after redundant data are removed. The three light spots of different sizes are adopted as feature points in image data rough matching, error matching is effectively avoided, and matching precision is improved. The conversion matrix obtained through rough matching is adopted as the initial value in fine matching, and the computation quantity of correcting the conversion matrix is reduced. In the splicing process, a measurement system is taken as a multi-binocular measurement system, the method has no precise requirement for the position of a target, and implementation is easy.

The present invention belongs to the technical field of human-computer interaction during virtual assembly, and specifically, is a virtual assembly apparatus, system and method. The apparatus comprises a Kinect V2 human-computer interaction device, a Unity 3D virtual environment construction device, VR glasses and a force and touch feedback device. The Kinect V2 human-computer interaction device comprises Kinect V2; the Unity 3D virtual environment construction device comprises two cameras and a computer; the camera, the Kinect V2 human-computer interaction device and the force and touch feedback device are connected to the computer; the VR glasses are separately connected to the Kinect V2 human-computer interaction device and the computer. The present invention is a virtual assembly apparatus, system and method. The eyes of human are captured by using the Kinect V2 device, and the camera in the Unity 3D virtual environment is bond therewith, so that the user can view the virtual environment. Moreover, parts and the assembly environment are designed at an proprotion of 1:1, and the real position in the virtual environment is reversed by means of a bone recognition module, so as to realize synchronization between virtuality and reality and complete highly immersed virtual assembly.

The present invention relates to a visible light and SAR image registration method based on linear features and control points. The method carries out edge detections respectively of visible light and an SAR image by using a Canny operator and an ROA (Ratio of Averages) operator according to features of visible light and the SAR image, extracts linear features by employing a multi-scale discrete fast Beamlet transform method, structures control points based on linear features, and realizes coarse-to-fine registration on images to be registered by using a coarse registration method based on consistent features and a fine registration method based on control points. The beneficial effect of the method lies in the fact that mismatching in single straight line matching caused by difference in length and location is prevented, point matching precision is improved, the method is suitable not only for SAR and visible light image registration, but also for registration of images with same edge features due to the employment of registration algorithm based on linear features and control points features.

The invention provides a combined navigation and positioning method of a small underwater robot, which comprises the following steps: fusing measurement data of various navigation facilities by means of a strong tracking unscented Kalman filter; using position vectors and heading angles under a navigation system as well as speed vectors and acceleration vectors under a vector system as state vectors of the filter; using the strong tracking unscented Kalman filter to implement autonomous navigation and data filtering of the underwater robot; based on horizontal position information output by a GPS (global positioning system) receiver, using the strong tracking unscented Kalman filter to implement autonomous correction and data filtering of the underwater robot; and implementing the switching between two different measurement equations (i.e. overwater and underwater measurement equations) based on the significance bit of the output signal of the GPS receiver. The invention can fuse the position, depth and attitude information of the small underwater robot measured by various navigation facilities, and can implement the autonomous navigation and autonomous correction of the small underwater robot under the interference of sea current or sea wave.

The invention discloses a distributed microphon array sound source positioning method based on space sparsity, comprising steps of performing signal characteristic extraction through two steps of discrete cosine transform (discrete cosine transform DCT), utilizing the characteristics to construct a sparsity positioning model in order to comprehensively utilize the short time or long time characteristics of the voice signal, reducing the dimension of the model, utilizing a dictionary learning method to perform correction on the model, adopting an approximating I0 norm reconstruction algorithm to perform reconstruction on a sparse signal to find a sound source. The invention has no special requirement on the array structure, requires less calculation, effectively improves the capability of resisting noise and reverberation and positioning accuracy, and is suitable for indoor sound positioning and widely applicable to the video conference system, the voice recognition system and the intelligent robots.

A printing/processing system includes a printing mechanism performing a printing operation on a processing sheet; a processing mechanism performing a processing operation on the printed processing sheet; and a memory device into which the printing mechanism writes information and from which the processing mechanism reads information. The printing mechanism includes an input unit for inputting printing information for performing the printing operation and processing information for allowing the processing mechanism to execute the processing operation; an information-writing unit that writes process data into the memory device in correspondence with process-specifying data provided for specifying the process data, the process data being a control program and/or control data based on the input processing information; and a printing unit that prints print data and the process-specifying data on the processing sheet, the print data corresponding to the input printing information. The processing mechanism includes a reading unit that reads the process-specifying data printed on the processing sheet; an information-readout unit that refers to the memory device and reads out the process data corresponding to the read process-specifying data from the memory device; and a processing unit that performs the processing operation based on the read process data.

The embodiment of the invention discloses method, system and equipment for controlling the flow of a backhaul link. The method comprises the following steps: a relay node (RN) acquires a downlink data traffic measurement result; the RN judges whether the downlink data traffic measurement result meets a preset trigger condition, wherein the trigger condition is used for triggering to send a downlink speed adjustment request; when the RN judges that the downlink data traffic measurement result meets the preset trigger condition, the RN sends the downlink speed adjustment request to a donor evolved node B (DeNB), so that the DeNB adjusts the downlink data scheduling and transmission on the backhaul link according to the downlink speed adjustment request; and otherwise, the RN doesn't send the downlink speed adjustment request to the DeNB. The invention avoids the mismatch of data stream between the backhaul link and the access link, so as to solve the problem of downlink data congestion of the RN or downlink data delay of the relay user equipment (R-UE), as well as the problem of waste of the resources on the backhaul link.

The invention provides a logistics cargo volume non-contact measurement method based on a computer binocular stereo vision technology and a point laser range finding technology. According to the method, a point laser range finding supplementary means is introduced; a point laser rangefinder is used to acquire the correspondence among the depth of a measurement point on a cargo object, the distance from an initial point and the point coordinate on an image; the incidence relationship between geometric projections of images shot by left and right cameras is established; the geometric projection correlation area of corresponding feature points in left and right images is positioned and set; image stereo matching of left and right image feature points is carried out in the set geometric projection correlation area of the corresponding feature points; and full width feature point extraction is carried out on the left image, which greatly reduces the range of image matching search and the calculation cost. According to the invention, the problem of the uniqueness of the solution of a spatial point reduction problem is solved; the problems of mis-matching and leakage matching in the image matching process are avoided; and the validity and the accuracy of image stereo matching are greatly improved; and the accuracy and the speed of the measurement of a binocular stereo vision system are improved.

Systems and methods are provided for mitigating motion sickness. When motion sickness is predicted, the motion sickness mitigation system alters vehicle performance, cabin conditions, and/or alerts the occupant to upcoming vehicle actions, to avoid or alleviate motion sickness. A controller includes a processor that receives an occupant profile and traffic information for an upcoming trip of the vehicle on a route. Using the occupant profile and the traffic information, the processor calculates whether the occupant will experience motion sickness when the vehicle travels on the route. A vehicle performance signal correlated to the calculation, is delivered by the processor to initiate motion sickness mitigation. The vehicle performance signal varies operation of a steering actuator, an acceleration actuator, and/or a brake actuator to implement the motion sickness mitigation.

The invention discloses a direction of arrival estimation method based on co-prime array virtual domain equivalent signal atom norm expression. A problem of definition mismatch between a conventional atom norm definition and a co-prime array virtual domain equivalent signal model is solved. The direction of arrival estimation method comprises steps that a receiving end adopts a co-prime array to receive a signal, and modeling is carried out; an equivalent virtual signal corresponding to a co-prime array receiving signal is deduced; a theoretical model of a co-prime array virtual domain second-order equivalent multi-sampling fast beating signal is formed; the atom norm definition of the co-prime array virtual domain equivalent signal is acquired; an optimization problem based on the co-prime array virtual domain equivalent signal atom norm expression is set to re-establish a virtual domain covariance matrix; according to the re-established virtual domain covariance matrix, the direction of arrival estimation is carried out. The direction of arrival estimation method based on the co-prime array virtual domain equivalent signal atom norm expression is advantageous in that improvement of freedom degree performance is guaranteed, and at the same time, the non-meshing direction of arrival estimation is realized, and the method is used for passive detection and target positioning.

An auto-configuration arrangement enables a general-purpose mobile terminal or user equipment (UE) and an access network having specific native or standardized codecs and media formats to conform to one another and to thus optimize resource utilization in the access network. When the UE is attached to the access network, UE and user identifier information is signaled by the UE to a configuration node implemented in the access network. The configuration node acquires information details regarding the UE, and also relevant user subscription information, by retrieval from one or more access network registers. The configuration node then uses the detailed information together with access network specific information to decide what QoS definition and type of codec to select for use, and assembles the selected definitions and codecs, such as by retrieval from a repository. The configuration node sends the selected QoS definitions and codecs to the UE, and the UE configures itself in accordance therewith by means of a configuration layer residing in the UE.

The invention discloses an adaptive intelligent integration detection method of a radar range extension target and belongs to the radar signal processing field. The adaptive intelligent integration detection method of the radar range extension target aims at overcoming the defects that the existing range extension target statistical detection method is poor in adaptive capability to the clutter and target environment and the like under the condition of the unknown clutter background. According to the adaptive intelligent integration detection method of the radar range extension target, normalized processing is performed on a radar echo one-dimensional range profile, integration optimization is performed through data domain description characteristics of a clutter one-dimensional range profile, a detection method of the constant false alarm rate of a one-class support vector machine is established, a kernel function parameter is adjusted to ensure constant false alarm rate characteristics of the detection method, and a clutter database is updated according to a detection result; statistical modeling does not need to be performed on the clutter background; the detection method is suitable for the positive and negative sample quantity seriously asymmetrical radar target detection environment; the false alarm control capability is strong, the computation is less, the engineering implementation is convenient, and the popularization and application value is high.

The invention provides an obstacle detection method and device based on a monocular camera. The method comprises the steps of obtaining a target frame image shot by the monocular camera and the adjacent frame images, shot by the monocular camera, of the target frame image; deleting unstable feature points from an initial feature point set of the adjacent frame images to obtain an optimized feature point set of the adjacent frame image; carrying out sub set partitioning on a target feature point set to obtain multiple target feature point sub sets; for each target feature point sub set, judging whether the target feature point sub set belongs to an obstacle or not according to distance change values, between the target frame moment and the adjacent frame moment, of the points in a corresponding ground projection point set of the target feature point sub set; determining the sum set of all the target feature point sub sets which are judged to belong to obstacles as an obstacle point set in the target frame image. According to the obstacle detection method and device based on the monocular camera, the detection accuracy of obstacle points and the detection efficiency of the obstacles can be improved.

Disclosed is an automatic dust-removing and cleaning device for a filter net of an air-conditioner which has a filter net (2) with an end to end sealing ring structure. The filter net (2) comprises a net frame (21) provided with gear sockets (211), and a mesh (22). A driving gear (5) is installed at one corner of an air inlet frame (1) of the air conditioner and meshed with the gear sockets (211) of the net frame (21). Driven gears (6) are installed at the other three corners of the air inlet frame (1) of the air conditioner and meshed with the gear sockets (211) of the net frame (21). A drive mechanism (12) drives the driving gear (5) to rotate. A dust-collecting box (3) is installed at the bottom of the air inlet frame (1) of the air conditioner and provided with a water inlet and a water outlet. The water inlet is connected to a water inlet pipe (8) and the water outlet is connected to a water outlet pipe (9). A dust removing brush (4) is installed on the dust-collecting box (3), located below the filter net (2) and in contact with the filter net (2) simultaneously.

An efficient process, from both a regulatory and tax perspective, for individuals to hedge employee stock options. No margin is required for a listed call option written on an equity security when the account holds a “long” position in a vested employee stock option which can be immediately exercised without restriction (not including the payment of money) to purchase an equal or greater quantity of the security underlying the listed option provided that the vested employee stock option does not expire before the short listed call option, and provided that the amount (if any) by which the exercise price of the vested employee stock option exceeds the exercise price of the short listed call option is held in or deposited to the account.

The invention discloses a method for estimating a DOA of MIMO radar coherent sources based on a covariance matching SL0 algorithm, belongs to the field of multiple input and multiple output (MIMO) radar target parameter estimation, and particularly relates to a DOA estimation method of MIMO radar coherent sources. When a weighted SL0 algorithm is used to estimate the DOA of a MIMO radar target, acovariance matrix needs to be vectorized to obtain a corresponding sparse reconstruction model, and the orthogonality of a signal and a noise subspace is used to construct a weighted vector. However,when the coherent sources are present, the rank of the MIMO radar covariance matrix is degraded, a full-rank covariance matrix is reconstructed by using a covariance matching criterion, the Toeplitz property of the MIMO radar covariance matrix is restored, and a high-order power of the covariance matrix is used to approximate a noise subspace to calculate the weighted vector. According to the algorithm of the invention, the DOA estimation of the coherent sources can be effectively completed without the need to predict the number of sources.