40results about How to "Noise insensitive" patented technology

A system and method indexes an image database by partitioning an image thereof into a plurality of cells, combining the cells into intervals and then spots according to perceptual criteria, and generating a set of spot descriptors that characterize the perceptual features of the spots, such as their shape, color and relative position within the image. The shape preferably is a derivative of the coefficients of a Discrete Fourier Transform (DFT) of the perimeter trace of the spot. The set of spot descriptors forms as an index entry for the spot. This process repeated for the various images of the database. To search the index, a key comprising a set of spot descriptors for a query image is generated and compared according to a perceptual similarity metric to the entries of the index. The metric determines the perceptual similarity that the features of the query image match those of the indexed image. The search results are presented as a scored list of the indexed images. A wide variety of image types can be indexed and searched, including: bi-tonal, gray-scale, color, “real scene” originated, and artificially generated images. Continuous-tone “real scene” images such as digitized still pictures and video frames are of primary interest. There are stand alone and networked embodiments. A hybrid embodiment generates keys locally and performs image and index storage and perceptual comparison on a network or web server.

A system and method extracts object boundaries in computed tomography images that have been corrupted by noise. The system and method find object boundaries in tomography images by finding edges in sinogram data, thereby providing a segmentation method that is insensitive to the image noise introduced by the process of image reconstruction from projections. The boundary-detection system uses projection data, and optionally tomographic image data, to detect the boundaries of objects in tomographic images. The system is of particular value for boundary-detection in images corrupted by reconstruction artifacts, such as CT scans of hospital patients who have implanted metal prostheses. The system is applicable to recovering the boundaries of convex objects, and the convex segments of the boundaries of concave objects (though not the complete boundaries of the concave objects themselves). The system is clinically viable in the sense that this method can be embodied in a practical, real-world system that can be used routinely in hospitals and medical clinics, and relies only on data that are available from standard medical CT scanners, that is the CT images and scout images (and not the original sinogram data).

Provided is a capacitive touch sensor which includes a flat panel display for displaying an image and a touch sensor panel positioned on the flat panel display or embedded in the flat panel display. The capacitive touch sensor may include: a driving clock generator configured to generate time-periodic output signals with respect to a plurality of times, and apply the generated time-periodic output signals to the touch sensor panel and a receiver circuit unit; a driver configured to generate a driving signal of the touch sensor panel using a part of the output signals of the driving clock generator; and the receiver circuit unit configured to process noise contained in a signal received from the touch sensor panel, using the output signals.

Featured is a controller for a motor that is ultra-compact, with a power density of at least about 20 watts per cubic cm (W / cm3). The controller utilizes a common ground for power circuitry, which energizes the windings of the motor, and the signal circuitry, which controls this energization responsive to signals from one or more sensors. Also, the ground is held at a stable potential without galvanic isolation. The circuits, their components and connectors are sized and located to minimize their inductance and heat is dissipated by conduction to the controller's exterior such as by a thermally conductive and electrically insulating material (e.g., potable epoxy). The controller uses a single current sensor for plural windings and preferably a single heat sensor within the controller. The body of the controller can also function as the sole plug connector.

Disclosed herein is an apparatus and method for driving a touch panel, which the touch panel is insensitive to noise while increasing sensitivity rather than that of an output voltage generated by a change in capacitance. An apparatus for driving a touch panel includes a sampling unit for receiving a voltage generated by a change in the capacitance of the touch panel as an input, comparing the inputted voltage with a previously stored value, storing the voltage in a minimum value storage unit or a maximum value storage unit based on a comparison result, and performing a weighted average operation on the stored voltage with a value stored in an average storage unit to which a weight is applied; a multiplexer for receiving averages stored in the average storage unit and sequentially outputting the averages; a maximum / minimum subtracter for receiving minimum and maximum averages inputted from the multiplexer, applying a first gain to the minimum and maximum averages so as to amplify them, and applying a second gain to a difference between the amplified minimum and maximum averages; an analog to digital converter (ADC) for receiving an output inputted from the maximum / minimum subtracter and converting the output into a digital value; and a control unit for receiving an output inputted from the ADC, recognizing a touch of the touch panel, and controlling a gain of the maximum / minimum subtracter.

The invention relates to a reconstruction algorithm for back projection weight cone-beam CT, belonging to the field of X-ray computed tomography. The reconstruction algorithm comprises the following steps of: introducing a ray back projection weight based on a filtering back projection reconstruction frame, acting the back projection weight based on distance and continuity of conjugate rays on filtered projection data during back projection so as to reconstruct a CT image, and performing certain compensation on Radon missing data to improve the intrinsic cone-beam artifact problem of an FDK (Feldkamp-Davis-Kress) algorithm under circular track and increase the reconstruction quality. According to the reconstruction algorithm disclosed by the invention, the frame based on the filtering back projection has simple and efficient reconstruction process and is insensitive to noise.

The invention discloses a refractive index sensor and a detection method thereof. The refractive index sensor provided by the invention comprises an exciting device and a measuring device, wherein the exciting device comprises a monochromatic light source, a focusing device and a sensor chip; the measuring device is composed of a leakage radiation microscope system comprising an oil immersion objective, an imaging lens and a CCD (Charge Coupled Device) camera; the light emitted by the monochromatic light source is incident to the sensor chip via the focusing device to excite a surface plasma excimer SP; the leakage radiation light of the SP is collected by the oil immersion objective and is incident to the CCD camera together with the other beam of reference light after passing through the imaging lens, so as to cause interference at the CCD camera; the CCD camera records the information of interferometric fringes; and the refractive index of a sample to be measured on the upper surface of a metal thin film is monitored according to the cycle of the interferometric fringes. The refractive index sensor has the advantages that only a wavelength light source is needed, the structure is simple and the cost is low; the measurement is not sensitive to the intensity fluctuation of an incident light source and the noise of a detector; the accuracy of the data measurement is improved; and the microminiaturization and multi-channel detection of the sensor can be realized.

An apparatus for generating multi-phase signals includes a delay chain to produce multi-phase signals, a slow boundary signal, and a fast boundary signal. An array of trim capacitors is connected to the delay chain. A timing control window circuit produces a control signal when a reference signal is outside a timing control window defined by the slow boundary signal and the fast boundary signal. A digital circuit produces a digital capacitive trim signal for application to the array of trim capacitors in response to the control signal. The digital capacitive trim signal alters the capacitive loading of the delay chain.

The invention relates to an integrated circuit with a single sensor element (1) for converting a physical variable into an electrical signal, comprising a comparator unit (4) by which means the electrical signal of the sensor element (1) can be compared with various different threshold values in order to produce different discreet circuit states and an output unit (5) for outputting an output signal representing the different discreet circuit states or the comparator unit (4). The threshold values of the comparators of the comparator unit (4) are stored in a storage unit of the integrated circuit in such a way that they can be regulated with a control device (3). The integrated circuit has a single output terminal (7a) on which the various circuit states of the electrical signal can be picked off in code.

A subdivision surface reconstruction method based on variational framework feature perception belongs to the digital geometry processing and the surface modeling field, and comprises the steps of firstly, according to the features of a model, such as the sharp angles, the sharp edges, the semi-sharp edges, etc., setting a sharpness for each edge of a control mesh, and providing a subdivision surface new rule of the feature perception; then according to the new rule, establishing a subdivision model of the subdivision surface reconstruction based on a variational framework and the L1-norm; finally, utilizing an augmented Lagrangian method and a particle swarm optimization method to iterate and solve the vertex position and the sharpness of the control mesh of a subdivision surface, thereby obtaining the reconstructed subdivision surface preserving the features. Compared with the conventional method, the subdivision surface reconstruction method based on the variational feature perception provided by the present invention has the obvious advantages of preserving the features of the surface, such as the sharp features, the semi-sharp features, etc., can process the reconstruction problem of the input meshes with the noise of different scales, and has the wide application prospect on the surface reconstruction.

The invention discloses a positioning method for a Sagnac distributed optical fiber sensing system based on convolutional neural network ensemble learning. The method comprises the steps of taking a fixed interval point on a sensing optical fiber as a disturbance point, enabling the sensing system to obtain an interference signal generated by the simulation disturbance of each point, carrying outthe preprocessing of the interference signal, and enabling the preprocessed interference signal to serve as a training set and a verification set, training two convolutional neural network models fordifferent loss functions to enable the two CNN models to accurately position near-end and far-end disturbances respectively, combining training results of the two models through an ensemble learning method to obtain a disturbance position prediction model based on CNN ensemble learning, and optimizing parameters of each model through the verification set. A to-be-positioned interference signal ispre-processed as a test sample, and the to-be-positioned interference signal is tested by using the trained prediction model to obtain a disturbance position of the to-be-positioned interference signal. The method does not need signal demodulation, is low in system complexity, is not sensitive to noise, is simple in data processing method, is stable and accurate in positioning result, and can be used for the disturbance positioning of an annular or linear Sagnac distribution optical fiber sensing system.

Disclosed is a source driver for a display apparatus which is insensitive to power noise, and a configuration of filtering an influence of power noise, which is introduced from an exterior of the source driver or occurs in an interior thereof, to an operation of the source driver. The present invention is applied to the case of receiving a clock signal and a data signal through the single signal line, and is embodied such that a source driver for driving a display apparatus for achieving a high speed operation and a large screen has a characteristic insensitive to power noise.

The invention discloses a global motion detection method based on a joint transform correlator. A high-frame frequency small surface array detector is adopted as a sampling unit, an optical joint transform correlator is adopted as a Fourier transform simulation processing unit, a DSP (Digital Signal Processor) is used to realize the correlation peak real-time detection algorithm, and the high-precision real-time motion vector detection is finally achieved. The method is insensitive to the noise of an input image and has strong anti-jamming capability; the displacement detection results are accurate; and the measurement precision can reach one pixel level.

At least a first base signal and a second base signal are mutually in quadrature and both are capable of mutually exhibiting a quadrature error. These signals are used to formulate two pairs of delayed signals that includes a first delayed signal that is delayed with respect to the first base signal, a second signal delayed in phase opposition with respect to the first delayed signal, a third signal delayed with respect to the second base signal, and a fourth delayed signal in phase opposition with respect to the third delayed signal. The value of each of the delays is continuously adjusted using two differential signals arising from a direct or an indirect cross-mixing of the two pairs of delayed signals to obtain the four delayed signals virtually in quadrature.

The invention relates to a quartz resonant current sensor. A current sensitive unit includes a quartz tuning fork fixed at both ends and current-carrying elastic support beams. The two ends of the quartz tuning fork are respectively fixed to the middles of the two current-carrying elastic support beams, and the length direction of the quartz tuning fork is perpendicular to the length direction ofthe current-carrying elastic support beams. The surfaces of the current-carrying elastic support beams are plated with electrodes along the axes, and the two ends of the electrodes are respectively connected with the two ends of corresponding induction coils. The two ends of the current-carrying elastic support beams are arranged on a peripheral frame. When a current under test changes, the two induction coils produce induction currents which are of the same magnitude and are opposite in direction. The induction currents flow through the two current-carrying elastic support beams along the electrodes respectively. The current-carrying elastic support beams generate an ampere force under the action of a magnetic field provided by a permanent magnet in order to make the quartz tuning fork stressed axially and change the resonance frequency of the tuning fork. The current can be detected according to the frequency variation of the quartz tuning fork. The quartz resonant current sensor hasthe advantages of low loss, high sensitivity and small size.

The invention relates to the technical field of image processing, and discloses a color image segmentation method of a self-adaptive hierarchical histogram, which comprises the following steps of: S1,respectively generating three groups of hierarchical histograms on an R color plane, a G color plane and a B color plane for an RGB color image; wherein each group of hierarchical histograms comprises a plurality of layers of histograms which respectively correspond to the multi-level abstract granularity of the image; wherein the bottommost histogram in the group of hierarchical histograms is anoriginal histogram and represents the image with the finest granularity of the image; wherein the upper layer of histogram is generated according to the lower layer of histogram, so that the image extraction granularity of the upper layer of histogram is larger than that of the lower layer of histogram; s2, performing thresholding on the top layer histogram in each group of hierarchical histograms to complete initial segmentation of the image; and S3, merging clusters formed by initial segmentation to complete final image segmentation, and the color image segmentation method of the adaptive hierarchical histogram has better segmentation efficiency and can obtain better segmentation quality.

The embodiment of the invention provides a network access point position estimation method and device. The method comprises: acquiring a data sample set based on an identifier of a network access point to be estimated, and each data sample comprising position information of external terminal device connected to the network access point; based on the position information of the external terminal device, calculating the physical distance between the physical positions of the two external terminal device related to each two data samples; based on the physical distance, performing clustering processing on the data sample set to generate at least one candidate cluster; and taking the geometric center of the target cluster meeting a predetermined evaluation condition in the at least one candidate cluster as the geographic position of the network access point, wherein the geometric center is the geographic center of the position of the external terminal device involved in each data sample inthe target cluster.

An optical fiber system for a body part of an anthropomorphic test device is disclosed that includes at least one body part and at least one optical fiber that has a plurality of cores in a spaced and helical relationship with one another that extend between ends of the optical fiber for sensing positions of the at least one body part. Each of the cores have a plurality of grating sensors disposed along a length thereof capable of determining a position and orientation of the body part.

The invention discloses a feeding monitoring method and device based on bone conduction, terminal equipment and a storage medium, and the method comprises the steps: monitoring a chewing behavior of fed food through intelligent glasses, and obtaining a vibration signal of a skull related to the chewing behavior; counting the number of chewing times according to the vibration signal to obtain the number of continuous chewing times; if the continuous chewing times do not reach the target chewing times and the chewing behavior of the user is terminated, sending out first prompt information; and if the number of continuous chewing times reaches the target number of chewing times, sending out second prompt information. Therefore, according to the feeding monitoring method based on bone conduction, the accumulated number of chewing times can be automatically monitored with more reliable precision, and the prompt information is sent to the user in time according to the chewing behavior of the user, so that the feeding habit of the user is improved.

The invention discloses a multi-robot cooperative 3D sound source identification and positioning method. The method comprises the following steps: (1) collecting audio signals of microphones of robots; (2) performing cross-correlation calculation on each audio signal and a reference audio signal, and if a calculation result reaches a set threshold, identifying the audio signal as a to-be-identified audio signal; (S3) for each robot, calculating a cross-correlation function between the audio signals of any two microphones on the robot, then discretizing a direction space, calculating the sum ofthe cross-correlation functions under corresponding time delay in each direction, and finding out a maximum response value, wherein the direction corresponding to the maximum response value is the direction of the sound source relative to the robot; and (S4) solving the coordinates of the sound source, and correcting the coordinates of the sound source according to the direction of the sound source and the position of each robot. Compared with the method for calculating the position of the space sound source through the arrival time difference, the method for searching the maximum correlationfunction value based on the discrete space is provided, the reverberation resistance is higher, the search cost is lower, and the operation speed is high.

The present inventive disclosures are generally directed to an improved means to precisely measure temperature at a location remote from a central controller and a means to control heater and / or cooler power at that remote location with a temperature setpoint that is adjustable at the central-controller location, with a remote device / unit connected to the central controller using no more than two wires, employing specialized time-sliced alternating operating modes via those two wires in which high-accuracy current-based temperature readings are transmitted back to a central controller in one mode, and thermal-device power is provided in the other mode. The improved system is, as a result, both very cost-efficient and mass-efficient for controlling a multitude of thermal zones.