Abstract: An elliptical ultrasonic machining device powered by non-contact induction mainly includes an induction power supply device and an elliptical ultrasonic spindle shank, wherein: induction power supply secondary units of the induction power supply device encircle a spindle shank shell of the elliptical ultrasonic spindle shank; induction power supply primary units are arranged at a primary magnetic core seat outside the elliptical ultrasonic spindle shank; the primary magnetic core seat and the elliptical ultrasonic spindle shank have a same circle center, and a small gap exists between the primary magnetic core seat and the elliptical ultrasonic spindle shank; the primary magnetic core seat is fastened on a machine tool spindle seat of a machine tool through a support and keeps still; the elliptical ultrasonic spindle shank is mounted on a machine tool spindle through a taper shank and rotates with the spindle in a high speed.
Abstract: A joint search method for UAV multiobjective path planning in an urban low altitude environment first constructs a static safety index map based on static known obstacles. Meanwhile, based on proactively detected obstacles that are not marked on a geographic map by a UAV, the method constructs online a dynamic safety index map. Second, a multiobjective path planning problem is solved using a joint offline and online search method. Moreover, this method first plans offline the least cost path from a starting point to an end point and then invokes the online search scheme to replan online a changed path when the UAV detects unknown obstacles. Thus, the UAV can avoid dynamic obstacles effectively. The online search scheme has a small search space and can quickly replan a safe path for the UAV, thus satisfying the requirement of UAV on the real-time path planning.
Abstract: The nondestructive determination of core size of a hollow-core photonic bandgap fiber (HC-PBF) using Fabry-Perot (FP) interference is performed with an apparatus including a tunable laser source (TLS), a 1×2 single-mode (SM) coupler, an SM collimator, a six-axis translation stage, an optical detector, and an oscilloscope. The light from the TLS passes through the 1×2 SM coupler and the SM collimator to perpendicularly enter two parallel air-SiO2 interfaces of the core of the fiber and is reflected, while the TLS is tuned from one wavelength to another. Then the reflected spectrum is guided to the optical detector, where its interference intensity is converted into voltage intensity to be displayed at the oscillator and fitted with a least-squares method to obtain the distance between the two air-SiO2 interfaces. The core size of the fiber can be obtained by rotating the fiber and repeating the procedure at multiple angular positions.
Abstract: The present invention discloses a structural light parameter calibration device and method based on a front-coating plane mirror. The calibration device includes a camera, a laser, a front-coating plane mirror, a flat glass target, and white printing paper. The white printing paper receives a laser beam and presents a real light strip image, and the camera captures the real light stripe image and a mirror light stripe image on the front-coating plane mirror. Feature points are used to determine a rotation matrix, a translation vector, and a vanishing point for the image. The present invention achieves better quality of light stripe and better extraction accuracy, provides feature points with micron-level positional accuracy and more calibration points, and features higher calibration accuracy and more stable calibration results.
March 22, 2018
Date of Patent:
June 23, 2020
Zhenzhong Wei, Wei Zou, Binhu Chai, Yue Min
Abstract: A transient IR-drop waveform measurement system and method for a high speed integrated circuit are provided. The system includes all-digital elements and is based on a ring oscillator in GHz. Through oscillation with a Fast Ring Oscillator, sampling with an Edge Detector and counting with a Ripple Counter, a width and a peak of an IR-drop waveform are obtained. Moreover, a power supply network is adapted during a clock cycle through sending an adaptation signal to a connected dynamic voltage frequency scaling (DVFS) system. The measurement method includes 11 steps. The measurement system has following features: 1) IR-drop peak/width measurement ability; 2) low fabrication and test cost; 3) high accuracy and sensitivity; 4) early adaptation ability. Therefore, the measurement system can be used alone for chip monitoring or testing, in order to reduce a power supply noise disturbance to a chip.
October 18, 2016
Date of Patent:
June 2, 2020
Xiaoxiao Wang, Pengyuan Jiao, Donglin Su, Aixin Chen
Abstract: Disclosed is a co-segmentation method and apparatus for a three-dimensional model set, which includes: obtaining a super patch set for the three-dimensional model set which includes at least two three-dimensional models, each of the three-dimensional models including at least two super patches; obtaining a consistent affinity propagation model according to a first predefined condition and a conventional affinity propagation model, the consistent affinity propagation model being constraint by the first predefined condition which is position information for at least two super patches that are in the super patch set and belong to a common three-dimensional model set; converting the consistent affinity propagation model into a consistent convergence affinity propagation model; clustering the super patch set through the consistent convergence affinity propagation model to generate a co-segmentation outcome for the three-dimensional model set.
Abstract: An out-of-band coupled antenna combined by fine-and-straight antenna and bow-tie antenna is provided, including: a dielectric slab (1), an AA radiation element (2) provided on an upper plate (1A) of the dielectric slab (1) by a, a cooper pouring process, a BA radiation element (3), an A feeder line (4) and a B feeder line (5); an AB radiation element (8) provided on a lower plate (1B) of the dielectric slab (1), a BB radiation element (9), a C feeder line feeder (6) and a D feeder line (7); a first sensor (10A) and a second sensor (10B) which are connected on the AA radiation element (2); a third sensor (10C) and a fourth sensor (10D) which are connected on the AB radiation element (8). The antenna is capable of suppressing out-of-band coupling between indication elements to improve the separation degree.
Abstract: This invention disclosed a system and method for characteristics measurement of electromagnetic signals. The measurement system comprises a multi-repetition-rate pulsed light source, a frequency mixer for electrical signal and optical signal, and a data acquisition and processing device. The measurement system accurately determines the characteristic information of the signal to be measured, such as frequency, phase, intensity, and their variations, by measuring the low frequency mixed signal generated by the multi-repetition-rate pulsed light source and the signal to be measured in the frequency mixer. This system has the advantages of simple structure, high measurement accuracy, low cost and large measurable frequency range. The system can be applied to the measurement of various electromagnetic signals, covering the spectral range from microwave, millimeter wave, to terahertz and even light wave.
Abstract: The present invention provides a ground-based augmentation system capable of predicting a tropospheric refractive index with high precision. The system includes a ground base station and an airborne receiver. The ground base station includes a ground acquisition device, a processor, and a transmitter. The ground acquisition device is configured to acquire meteorological parameters of a plurality of years, and use the acquired meteorological parameters as historical data. The processor is configured to call the historical data and establish a back propagation (BP) neural network to predict a refractive index. The transmitter is configured to send the refractive index predicted by the processor to the airborne receiver. With the present invention, the tropospheric refractive index is predicted for different weather conditions, thus improving the precision of tropospheric refractive index prediction.
Abstract: A construction method of a software accelerated testing technology based on a noise resonance includes steps of: (1), collecting a source code of software to be tested; (2), automatically generating software test cases based on an intelligent evolving method, until information same or similar as a fault phenomenon is searched; (3), starting a saturation noise mode, and meanwhile exerting all controllable noise sources at a maximum intensity; (4), exerting all the controllable noise sources at a minimum intensity; (5), starting a strategy noise interference mode, and generating a noise resonance; (6), continuously exerting noises at a noise intensity able to generate the noise resonance; and (7), generating effective test sequences. Through the above steps, construction of the software accelerated testing technology based on the noise resonance is completed, which helps software testers accelerate recurrence of a software fault during testing and update the software to increase a reliability thereof.
Abstract: Disclosed is a method for real-time cutting of digital organ based on a metaball model and a hybrid driving method, including a cutting procedure for driving a model using a position-based dynamics and a meshless method, a cutting mode which begins from a metaball driven by the position-based dynamics, proceeds to a point set driven by the meshless method and then create a new metaball. The method includes: a preprocessing procedure which performs an initialization operation while reading a model file; a deforming procedure which drives a model using a method based on the position-based dynamics; a cutting procedure which drives the model using the hybrid driving method and performs cutting using said cutting mode; and a rendering procedure which renders the model during the second and third procedures.
Abstract: The disclosed provides a posture-guided cross-category method and device for combination modeling of cross-category 3D models, the method including: receiving a first posture model inputted by a user; calculating similarities between q first regions of the first posture model and q second regions of each of second posture models in a preset model database, respectively; where the model database includes a plurality of models partitioned into model components, and second posture models corresponding to the models; where the q first regions correspond to the q second regions one on one, where q is an integer greater than or equal to 2; selecting a corresponding plurality of model components of the q second regions of the second posture model according to the similarities; and combining the selected plurality of model components to generate a 3D model. The embodiment of the present application can combine cross-category models with large structural differences.
Abstract: Present invention provides a ranking convolutional neural network constructing method and an image processing method and apparatus thereof. The ranking convolutional neural network includes a ranking layer that is configured to sort an output of a previous layer of the ranking layer, generate an output of the ranking layer according to the sorted output, and output the output of the ranking layer to a next layer of the ranking layer. Using the ranking convolutional neural network enables obtaining an output feature corresponding to the input feature image through automatic learning. Compared with prior art methods that obtain features through manual calculation, the method of the present invention is superior in terms of reflecting the objective laws contained by the patterns of the actual scene. When applied to the field of image processing, the method can significantly improve the effect of image processing.
Abstract: The present application provides a method and an apparatus for parsing and processing a three-dimensional CAD model, where the method includes: determining three kinds of adjacency relation information for each component in the three-dimensional model; performing aggregation processing on all components of the three-dimensional model, and generating three part hypothesis sets for the three-dimensional model; performing voxelization expression processing on each part hypothesis in each part hypothesis set, and generating voxelization information for each part hypothesis; inputting voxelization information of all part hypotheses in each part hypothesis set into an identification model to obtain a confidence score and a semantic category probability distribution for each part hypothesis; and constructing, according to the confidence score and the semantic category probability distribution of each part hypothesis in the part hypothesis sets, a high-order conditional random field model, and obtaining a semantic ca
Abstract: The present invention provides a ground-based augmentation system (GBAS) integrity performance evaluation method based on a pseudorange error distribution model, including: an airborne receiver terminal performing GBAS integrity performance evaluation by acquiring pseudorange error sample data, including the following method steps: a) grouping the pseudorange error sample data; b) building a distribution model having a Gaussian kernel and quadratic Gaussian polynomial tails for each group of pseudorange error samples; c) calculating a weighted sum of the distribution model of each group of pseudorange errors, to obtain an overall pseudorange error distribution model; d) projecting the pseudorange errors to position domain errors; e) calculating a probability that a position domain error is greater than an alarm limit, to obtain an integrity risk probability value; and f) evaluating GBAS integrity performance.
Abstract: The present disclosure provides an integrated navigation integrity monitoring system for unmanned aerial vehicles, comprising: an inertial measurement unit for providing a processor with zero offset values of different levels of inertial measurement units; a receiver for receiving signals from global satellite navigation and providing the processor with an integrity risk of a global satellite navigation system; and the processor for calculating a horizontal protection level of integrated navigation and a vertical protection level of integrated navigation, setting a horizontal alert limit and a vertical alert limit, comparing the horizontal protection level and the vertical protection level obtained by calculation with the corresponding horizontal alert limit and vertical alert limit respectively, and monitoring the integrity of the unmanned aerial vehicle. An inertial navigation system can be achieved without hardware redundancy, and the cost of integrated navigation integrity monitoring can be reduced.
Abstract: An impedance compensation structure for a broadband near-field magnetic-field probe, includes: a signal via; and a plurality of grounding vias provided around the signal via to form a coaxial via array; wherein the grounding via and the signal via have an identical size, all distances of each of the plurality of the grounding vias to the signal via are equal, and the plurality of the grounding vias forms a circle centered at the signal via; wherein each of the plurality of the grounding vias is connected with a magnetic field probe top layer shield plane and a magnetic field probe bottom layer shield plane; each of the plurality of the grounding vias keeps in a conducting state from a direct current to a high frequency, in such a manner that impedance matching of the broadband near-field magnetic-field probe is achieved.
April 8, 2017
Date of Patent:
October 29, 2019
Zhaowen Yan, Jianwei Wang, Wei Zhang, Donglin Su
Abstract: A master-slave same structure teleoperation fracture reduction mechanism includes a frame assembly, two parallel platform assemblies, a top platform connecting plate (9), an operating handle assembly, two fixing assemblies, a controller (15), six movement assemblies and 24 hydraulic pipes (26). The operating handle assembly is located in the middle of the upper platform (5), and the two fixing assemblies are located on the top of the parallel platform assembly. The two parallel platform assemblies are disposed on the frame assembly; the controller (15) and the six movement assemblies are disposed on the frame assembly; A top platform connecting plate (9) is connected to the fixing assembly parallel platform assembly. The hydraulic pipes (26) is in communication with motion hydraulic cylinders (7a) and the other end of the hydraulic pipes is in communication with one of platform hydraulic cylinders (7b). The invention assists a doctor to achieve fracture reduction.
September 19, 2014
Date of Patent:
October 15, 2019
BEIHANG UNIVERSITY, THE GENERAL HOSPITAL OF THE PEOPLE'S LIBERATION ARMY
Lei Hu, Peifu Tang, Tianmiao Wang, Lihai Zhang, Changsheng Li, Hailong Du, Lifeng Wang, Yiming Tan, Lu Zhao
Abstract: The present disclosure provides a method for ARAIM fault detection based on extraction of characteristic value of pseudo-range measurement, comprising: calculating a sum of integrity risks of each of fault modes and a maximum value of the integrity risks of each of the fault modes, calculating a quantity of the fault modes by using a ratio of the sum of integrity risks of each of fault modes to an integrity risk of a largest fault, and using a sample quantity of corresponding pseudo-range measurement values as an effective sample quantity; using a ratio of a time duration T to the effective sample quantity as an effective sampling duration; sampling samples of pseudo-range measurement values that are gathered by a receiver within the effective sampling duration, to obtain an effective pseudo-range measurement set; and by using the effective pseudo-range measurement set, calculating a test statistic, and performing integrity fault detection.
Abstract: An ARAIM subset selection method based on a BeiDou constellation includes: (a) deeming a current airspace as a two-dimensional plane and satellite distribution at some point as point distribution on the two-dimensional plane; (b) selecting coordinates of K satellites as original centroids, assigning each satellite to the closest original centroid by means of a K-Means algorithm to form K classification clusters, and recalculating a centroid of each classification cluster to obtain a centroid coordinate; (c) re-selecting the coordinates of the K satellites as the original centroids, repeating the calculation step (b) to calculate the sum of squared errors of the centroid obtained every time, and selecting the centroid with a minimum sum of squared errors as an output result; and (d) performing outlier detection on the output result of the step (c), and if an outlier appears, not performing fault assumption on a satellite at the outlier.