32results about How to "Comparable accuracy" patented technology

The invention pertains to a measurement system for measuring displacement of a moveable object relative to a base in at least a first direction of measurement, the moveable object having at least one reference part that is moveable in a plane of movement relative to the base, the actual movements of the reference part being within an area of said plane of movement that is bounded by a closed contour having a shape. The measurement system comprises a sensor head that operatively communicates with a planar element. The sensor head is mounted onto the base and the planar element being mounted onto the reference part of the moveable object or the other way around, wherein the planar element has a shape that is essentially identical to the shape of the closed contour.

The invention relates to equipment for measuring intra-ocular pressure, which is mainly characterized by comprising a probe supported in a probe shoulder, a plurality of coils wound on a framework, and a circuit board for collecting and processing voltage signals of the coils. The probe consists of a plastic probe head and a magnetic probe tail, and the probe tail consists of one or several joints of magnetic needles. The equipment for measuring the intra-ocular pressure is mainly characterized in that the coils are electrified with different directions to drive the magnetic needles at the probe tail to ensure part of the probe head to move toward or far away from a cornea at a high speed, and the intra-ocular pressure is figured out by the time interval between the probe closing to the cornea and the probe just leaving the cornea. By adopting the technical scheme of the invention, the speed-up time of the probe is shortened, the retention time of high speed motion is long, and the system efficiency is high, thereby fully ensuring that the probe can hit against the surface of the cornea at a speed high enough, greatly reducing the complexity and cost of the system, and simultaneously improving the reliability of the system.

The present invention discloses a point cloud simplification method based on curved surface change. The method comprises the steps of carrying out space grid rasterization on scattered point cloud, calculating curved surface change and dividing each point into three different characteristic areas according to the curved surface change, using the curved surface change to define an approximate characteristic point threshold, calculating the simplification ratios of points whose curved surface changes are smaller than the characteristic point threshold according to different characteristic areas to which the points belong, and defining a distance threshold to complete simplification by the simplification ratios. Compared with a traditional method, the calculation speed of the method is fast, and a characteristic boundary and surface details can be maintained.

The invention provides a 3D hand-eye calibration method and device for a mobile robot. The method comprises the following steps: S1, calibrating the view finding range of a camera to cover all degrees of freedom of the mobile robot; S2, recording point cloud data of a calibration ball held by the mobile robot in a camera coordinate system and a robot pose corresponding to the calibration ball in a current robot coordinate system to form n groups of point cloud data; S3, extracting the point cloud of the spherical surface of the calibration ball, and determining the coordinate value of the center point of the calibration ball in the camera coordinate system in each group of point cloud data by adopting a least square fitting algorithm; S4, solving offset and a hand-eye calibration matrix according to a first algorithm according to the pose of the robot and the coordinates of the center point of the corresponding calibration ball; and S5, converting the hand-eye calibration matrix into an Euler angle form, and taking a hand-eye calibration matrix result as an initial value of nonlinear optimization; and respectively calculating a hand-eye calibration matrix and a difference value between the offset and the truth value according to a second algorithm, and correcting the hand-eye calibration matrix according to the difference value. Therefore, the adaptation requirement for the degree of freedom of the robot is lowered, and the universality is improved.

The invention discloses a tesseract engine based character recognition method and device. A cloud-end server updates a local literal pool to correct a recognition result of the tesseract engine, and the precision in recognizing characters in images of the tesseract engine is improved. The character recognition device comprises a server, a tesseract engine module, the cloud-end server and the local literal pool. When the local literal base is upgraded, the server uses characters recognized by the cloud-end server to correct the recognition result of the tesseract engine module, and the local literal pool is supplemented with characters that cannot be recognized correctly by the tesseract engine module. Thus, the recognition precision can be improved by inquiring the local literal pool during character recognition. According to the invention, the upgraded local literal pool is used to correct the recognition result of the tesseract engine module, the precision when the cloud-end server is directly used for character recognition can be achieved, time of character recognition operation is shortened, and the method and device are suitable for recognizes images in daily learning and life into characters.

Embodiments of the disclosure encompass methods of amplifying nucleic acid from one or more cells using MALBAC (multiple annealing and looping-based amplification cycles) primers. In particular embodiments, the nucleic acid is amplified as amplicons in a linear manner. Specific embodiments include the removal or effective destruction of nonlinearly produced amplicons.

The invention relates to a low-orbit satellite-borne GNSS precise orbit determination method and system based on inter-position dynamic constraints. The method comprises the steps of obtaining GNSS precise ephemeris, a clock difference file, low-orbit satellite attitude data and satellite-borne GNSS observation data, obtaining a low-orbit satellite orbit pseudo-range solution, calculating the inter-position dynamic constraints of a low-orbit satellite, and calculating an approximate low-orbit satellite prior orbit; and performing data editing on satellite-borne GNSS observation data, establishing an orbit determination observation model and a random model in combination with dynamic constraints, and resolving a low-orbit satellite precision orbit to realize satellite-borne GNSS precision orbit determination of the low-orbit satellite. According to the method, the error model of the orbit dynamics model is adopted to consider the influence of the error on orbit determination, a complexhigh-precision satellite orbit dynamics model is not needed while the orbit determination precision is ensured, and unknown dynamics parameters or pseudo-random parameters do not need to be estimated;the orbit integral arc section is short, and the calculation efficiency is relatively high; and GNSS observation data with unequal sampling intervals can be processed, and the method is very suitablefor precise orbit determination of low-orbit satellites.

The invention relates to an underwater acoustic network topology sensing method based on vector orientation and distance measurement, and belongs to the field of underwater acoustic signal processing.The method comprises steps of supposing that the underwater acoustic network node only has one signal source node, orientating two signal sources simultaneously based on a single vector hydrophone, gradually positioning all node positions in the underwater acoustic network by taking the source node as a reference and adopting an RSSI (Received Signal Strength Indicator) distance measurement method, and further positioning all nodes in the underwater acoustic network according to a time relationship that a signal arrives at the vector hydrophone; judging the information flow direction of the internal nodes of the underwater acoustic sensor network to complete underwater acoustic network topology sensing. According to the method, only one vector hydrophone is used, RSSI ranging and mathematical geometry methods are combined, the required hardware is less, the operation is simple, and the adaptability is high.

The invention relates to an ELISA quantitative detection method of lactadherin or mucins 1 (MUC1) based on milk fat globule membrane characteristics, and particularly relates to an enzyme-linked immunosorbent assay (ELISA) method. The method comprises the steps of collecting a breast milk sample, pretreating the breast milk sample by using a na ve lysis buffer, and placing the breast milk sample on ice for cracking, carrying out Western Blot quantitative detection, and carrying out ELISA quantitative detection. The invention further comprises a kit for quantitatively detecting the lactadherinor MUC1 in the breast milk sample. The kit comprises a na ve lysis buffer reagent and a specification. The method has the advantages that the method is used for quantitatively detecting the lactadherin or MUC1 in the breast milk of the puerpera in different stages, the flux is high, the accuracy is high, the detection steps are simplified, the cost is low, and a scientific basis is provided for improving the formula milk powder.

The invention relates to a data set generation method for phase estimation network training, and the method comprises the steps: employing a structured light three-dimensional scanner to project a phase shift fringe pattern to a plane, shooting the phase shift fringe pattern, and storing the phase shift fringe pattern as a reference pattern; collecting and obtaining a binocular stereo matching data set, replacing the right image with the reference image, determining the final stripe intensity of each point falling on the left image, and generating a training image; a wrapped phase is calculated according to the reference image, and a phase label value of a certain point is obtained according to parallax mapping; combining the training picture and the phase label value to synthesize a monocular structure light data set; according to the method, the image of the monocular structured light data set is formed by using the existing binocular stereo matching data set, the deep learning model obtained by training the data set can be generalized in a real scene, the effect of the method is superior to that of a traditional three-step phase shift algorithm, and the precision of the method is equivalent to that of a model obtained by training the real data set.

A device and/or method mount and affix a microchannel plate in a micro system. The device and/or method has at least one conductive spring structure, formed to accept a microchannel plate, for aligning, fixing and making electrical contact with the microchannel plate. The device and/or method also has at least one stop against which the microchannel plate is pushed or pressed when affixed by at least one conductive spring structure, wherein the at least one conductive spring structure and the at least one stop are being applied on a non-conductive substrate.

The invention discloses a rapid simulation transient calculation method and system for an asymmetric 18-pulse phase-shifting self-coupling transformer rectifier. The method specifically comprises the following steps of 1, deducing a relational expression between a winding output end voltage and a grid-side alternating current voltage and a relational expression between a winding output end current and a grid-side alternating current, 2, establishing a mathematical model of a corresponding switching function, 3, establishing a relational expression between the winding output end alternating current voltage and the rectified direct current voltage and a relational expression between the winding output end current and the rectified direct current, and 4, based on a time-frequency transformation theory, restoring the dynamic phasors of the direct current side voltage and the grid side alternating current into a time-domain waveform capable of visually reflecting the transient characteristics of the rectifier by using time-frequency transformation. The problems that an existing rapid simulation method does not have calculation accuracy and rapidity at the same time and is difficult to be suitable for a three-phase balanced system and a three-phase unbalanced system at the same time are solved.

The invention provides a high-precision clock chip compensation production system and method. The system comprises a PC, a master control software module, a first-stage master control unit, a second-stage master control unit, a third-stage master control unit set module, a frequency measurement unit set module, a reference clock source module, a chip DUT bottom plate module and an incubator module. The third-stage master control unit set module comprises a plurality of third-stage master control units; the frequency measurement unit set module comprises a plurality of frequency measurement units; a plurality of chip DUT devices are arranged on the chip DUT bottom plate module; and the chip DUT bottom plate module is arranged in the incubator. According to the scheme, the production system is low in cost, high in precision and good in expandability, and the production efficiency is remarkably improved.