142 results about "Sample distance" patented technology

A probe instrument using room-temperature sensor(s) that can measure variations in magnetic susceptibilities. The instrument has sufficient resolution to monitor paramagnetic materials in a human body, such as iron in a human liver, by noninvasively examining patients with iron-overload diseases. The instrument includes room temperature magnetic sensors, and detects the sample, that is, the tissue response to an alternating current field applied by an applied field coil. The applied field coil dimensions are chosen so that the applied field is optimized for maximum response from the liver while minimizing the effects due to the overlying abdominal tissue and at the same time not unduly increasing the sensitivity of the instrument to the lung. To overcome variations in the sensor output due to fluctuations in the applied field, change in the ambient temperature and mechanical relaxation of the instrument, the sensor-sample distance is modulated. The detector assembly is oscillated while the examined patient remains stationary. An improved water-bag technique is employed to eliminate background tissue response. The detector assembly forms part of a probe instrument for performing noninvasively the paramagnetic concentration of a patient.

The present invention includes a method for parallel magnetic resonance imaging termed Superresolution Sensitivity Encoding (SURE-SENSE) and its application to functional and spectroscopic magnetic resonance imaging. SURE-SENSE acceleration is performed by acquiring only the central region of k-space instead of increasing the sampling distance over the complete k-space matrix and reconstruction is explicitly based on intra-voxel coil sensitivity variation. SURE-SENSE image reconstruction is formulated as a superresolution imaging problem where a collection of low resolution images acquired with multiple receiver coils are combined into a single image with higher spatial resolution using coil sensitivity maps acquired with high spatial resolution. The effective acceleration of conventional gradient encoding is given by the gain in spatial resolution Since SURE-SENSE is an ill-posed inverse problem, Tikhonov regularization is employed to control noise amplification. Unlike standard SENSE, SURE-SENSE allows acceleration along all encoding directions.

A method of autofocusing includes capturing first, second and third images of a sample, at respective first, second and third sample distances and respective first, second and third lateral positions determined with respect to an objective; determining a quantitative characteristic for the first, second and third images; determining a primary sample distance based upon at least the quantitative characteristics for the first, second, and third images; and capturing a primary image of the sample at the primary sample distance and at a primary lateral position that is offset from the first, second and third lateral positions.

A method, a system and a computer readable medium for dynamic mode AFM amplitude versus distance curve acquisition. In an embodiment, a constant force feedback mechanism is enabled prior to the first time an AFM probe tip contacts a sample. The feedback mechanism setpoint is iteratively reduced while at least phase and amplitude of the probe tip are recorded as a function of the relative z-height of a cantilever coupled to the probe tip. The feedback mechanism setpoint may be repeatedly swept between upper and lower bounds to average out drift between the cantilever and sample. Upon detecting a threshold, an absolute tip-to-sample distance is determined and correlated to the relative z-heights. The amplitude and phase data recorded prior to tip-sample contact is then determined as a function of absolute tip-to-sample distance.

Improved methods for designing the route of a transport element, such as a tube, are provided. A method preferably designs the route automatically and, by utilizing constraint objects, including at least one adaptively-sampled distance field (adaptive distance field or ADF) constraint object, in the design of the route, as opposed to during a post design check, ensures that the resulting route complies with the various constraint objects, including the at least one ADF constraint object. In addition, a method may establish an overall cost function to evaluate a plurality of feasible routes of the transport element that each comply with the constraint objects, including at least one ADF constraint object, such that a preferred or optimal route may be designed.

A method for determining local departures of opposed friction surfaces that are spaced apart in parallel planes normal to the axis of the rotor. Displacement sensing probes are placed in opposing alignment adjacent the friction surfaces and rotor is spun. Instantaneous distances from each probe to the friction surfaces is made by repetitively sampling and converting the sample distances into digital form. The differences between contemporaneous sample distances are computed to determine rotor thicknesses and displayed. An analog measure of the instantaneous angular rotor position is provided for each instantaneous angular position. The angular rotor position and distance measures are correlated and the angular rotor position sample converted to digital form. While the time interval between successive distance samples is constant the rotor angular velocity may vary during a revolution and spline-based interpolation between successive distance samples is performed to obtain to obtain a representation of equiangularly spaced sample values.

Provided is a method performed on a processor for simulating the milling of an object by moving a shape along a path intersecting the object. A composite adaptively sampled distance field (ADF) is generated to represent the object, where the composite ADF includes a set of cells. Each cell in the composite ADF includes a set of distance fields and a procedural reconstruction method for reconstructing the object within the cell. The shape is represented by a shape distance field. The path is represented by a parametric function. A swept volume distance field is defined in a continuous manner to represent a swept volume generated by moving the shape along the path according to a swept volume reconstruction method which reconstructs the swept volume distance field at a sample point. The composite ADF is edited to incorporate the swept volume distance field into the composite ADF to simulate the milling.

A method converts range data of an object to a model of the object by first generating an adaptively sampled distance field from the range data. The adaptively sampled distance field is then edited to produce the model. The range data can include a plurality of range images that are converted to range meshes in a single coordinate system, and an adaptively sampled distance field is generated for each of the range meshes.

The invention discloses a convolutional neural network training method and apparatus for face recognition and belongs to the face recognition field. The method includes the following steps that: a sample training library is constructed; the sample training library is adopted to train a convolutional neural network; the trained convolutional neural network is adopted to extract the feature vectors of all samples in the sample training library; distances between every two feature vectors are calculated; a sample pair training library is constructed; the sample pair training library is composed of sample pair sets of all face image samples, wherein the sample pair sets include heterogeneous sample pairs and homogeneous sample pairs, wherein the heterogeneous sample pairs are composed of face image samples and face image samples which are separated from the face image samples by distances which are smaller than a certain value, and the homogeneous sample pairs are composed of face image samples and face image samples which are separated from the face image samples by distances which are larger than a certain value; and the sample pair training library is adopted to train a convolutional neural network. With the method adopted, recognition errors caused by make-up and external environment can be effectively avoided.

A method for imaging is presented. The method includes acquiring a plurality of images corresponding to at least one field of view at a plurality of sample distances. Furthermore, the method includes determining a figure of merit corresponding to each pixel in each of the plurality of acquired images. The method also includes for each pixel in each of the plurality of acquired images identifying an image in the plurality of images that yields a best figure of merit for that pixel. Moreover, the method includes generating an array for each image in the plurality of images. In addition, the method includes populating the arrays based upon the determined best figures of merit to generate a set of populated arrays. Also, the method includes processing each populated array in the set of populated arrays using a bit mask to generate bit masked filtered arrays. Additionally, the method includes selecting pixels from each image in the plurality of images based upon the bit masked filtered arrays. The method also includes processing the bit masked arrays using a bicubic filter to generate a filtered output. Further, the method includes blending the selected pixels as a weighted average of corresponding pixels across the plurality of images based upon the filtered output to generate the composite image having an enhanced depth of field.

The invention relates to the field of mobile communication and discloses a positioning method and a positioning device for a mobile terminal. The positioning method and the positioning device can improve the accuracy of a distance between the mobile terminal and a base station and improve the positioning precision of the mobile terminal. The method of the invention comprises the following steps of: determining a resident base station of the mobile terminal; and multiplying a cell identifier of the resident base station and the current signal strength by a forward deriving matrix of a training model to obtain the distance between the mobile terminal and the resident base station, wherein after the cell identifier and the signal strength which are used as inputs are multiplied by the forward deriving matrix, an output value is a sampling distance.

A system models a graphics object by first providing a model of the object, generation parameters specifying a fixed level-of-detail, and conversion parameters specifying variable levels-of-detail. An adaptively sampled distance field having the fixed level-of-detail is generated from the model, and the adaptively sampled distance field is converted from the fixed level-of-detail to the variable levels-of-detail while concurrently generating rendering primitives.

A method for converts an adaptively sampled distance field of a graphics model to a triangle model, The adaptively sampled distance field includes surface cells storing distance values that have corresponding gradients. A vertex is assigned to a center location of each surface cell. The vertices of neighboring surface cells are connected to form triangles while satisfying a predetermined constraint. Then, each vertex is moved, in a single step, to a new location according to the distance value and corresponding gradient of the vertex to substantially conform the triangles to a surface of the model.

The invention discloses a method for improving the femtosecond laser processing accuracy. The method includes the steps that a measuring platform and a micro-nano structure processing platform are integrated, a sample distance detecting device and the rotation matrix method are combined, the position data of four to-be-processed areas is obtained through the detecting device and substituted into a rotation matrix, then calculation is carried out to obtain the corrected micro-nano structure position data, the data is substituted into a processing system, and the laser spot center is accurately positioned on a sample. The method has the advantages that switching between different platforms is not required, the surface height data is measured to be directly input to a computer, the errors caused by slopes of a to-be-processed sample, a substrate and the surface of a three-dimensional movable platform are eliminated with the rotation matrix method, the position of the processed sample is accurately positioned, the to-be-processed sample is accurately arranged at the center of a laser spot, the accuracy of laser micro-nano processing is further improved, the accuracy of femtosecond laser processing can reach about 300 nm accordingly, and it is guaranteed that the actual obtained structure and the preset structure are same.

A method generates an adaptively sampled distance field of an object by first defining a candidate cell of the adaptively sampled distance field. Then, distance values for the candidate cell are determined and stored in a bounded distance tree. The candidate cell is recursively subdividing into subdivided cells of the adaptively sampled distance field while determining and storing corresponding distance values of the subdivided cells in the bounded distance tree until a termination condition is reached. Lastly, the distance values are appended to the corresponding cells to generate the adaptively sampled distance field of the object.

The invention discloses a flatness measuring instrument and method. The flatness measuring instrument consists of two parts, namely an upper computer and a lower computer, wherein the upper computer and the lower computer are in communication by a controller area network (CAN) bus; the lower computer is connected with a distance measuring sensor and an acceleration sensor; the lower computer samples the change of road elevation detected by the distance measuring sensor and acceleration data detected by the acceleration sensor, records the interval time of two sampling and performs filtering processing on the acceleration data; the upper computer is connected with a rotary encoder for detecting distance information, detects a sampling distance signal, generates a fixed distance sampling interruption signal and a time interrupt signal and calculates and stores IRI data. The laser flatness detection system is applied to detection on the flatness of expressway bituminous pavements and has the advantages of high detection speed, accurate calculation, automatic data acquisition and result analysis and the like.

Xerox Reference No. D/A0639A system and method for improving xerographic halftoning by magnifying a threshold array, interpolating the in-between values, enabling multiple thresholds to be accessed simultaneously and presented to multiple comparators, to cause multi-bit output. A threshold array is sampled at distinct locations separated by the sparse sampling distance to allow warping of the threshold array dots by adjusting the sampling distance in small, fractional portions (deltas) of the magnified distance. By adding more thresholds, amplitude or intensity modulation is used to move dot edges in a process direction for further flexibility in printing irrational or warpable screens.

A method for imaging is presented. The method includes acquiring a plurality of images corresponding to overlapping fields of view at a plurality of sample distances using an imaging device having an objective and a stage for holding a sample to be imaged. Moreover, the method includes determining a figure of merit corresponding to each pixel in each of the plurality of acquired images. The method also includes synthesizing a composite image based upon the determined figures of merit.

The invention discloses a mine gas concentration pre-warning method. The method includes: converting monitoring data of different shifts into a gas flow data sequence set Q; reconstructing each sequence in Q according to a set sample dimension m, reconstructing the monitoring data of each day to form n samples, determining the duration t of production influence, and using t as the separation point to calculate monitoring data sample average difference around a time point t' in an overhaul shift, calculating the average value mu and standard deviation sigma of an average difference sequence C in historical monitoring data, and determining the confidence interval of the influence of production factors on gas concentration under a certain confidence level to perform gas concentration pre-warning. The mine gas concentration pre-warning method has the advantages that gas monitoring data is decomposed into different time periods and time sequences according to a site production alternation system, sequence sample distance is introduced on the basis of statistical analysis, the influence of the production factors on gas discharge is presented quantitatively, the influence on the gas concentration is quantitatively presented by the confidence interval, and influence of the production factors on the gas discharge of a stope face can be analyzed effectively.

The invention relates to a cell sorting method for an affine propagation clustering, which comprises the following steps: (1) selecting a circularity parameter C and a rectangularity parameter R of a cell image, designing a sample coordinate X sample=lambda C+(1-lambda) R, selecting an area parameter Area of the cell image as another sample coordinate Y sample and selecting a nuclear-cytoplasmic ratio parameter prop of the cell image as another sample coordinate Z sample, wherein lambda represents a prior input value; (2) using euclidean distance of the three-dimensional sample coordinates as sample distance, wherein a diagonal value of an S matrix of the affine propagation clustering is an average value of distances among the samples; (3) under the initial condition, setting an membership grade matrix A(i, k)=0, updating a matrix R and updating a matrix A; and (4) stopping after the number of iteration times is set and obtaining different types of cells from a sorting result. The invention provides the cell sorting method for the affine propagation clustering, which is suitable to process mass data, has excellent real-time property and can effectively carry out cell sorting.

The invention relates to a system and a method for confirming number of computer rogue program sample families. The system comprises a rogue program sample feature extraction module used for extracting features of rogue program samples and calculating the distance between every two rogue program samples to obtain distance matrix D, a rogue program sample distance calculation module used for calculating the distance between rogue program samples, an inter-family distance calculation module used for calculating the distance between two families, a rogue program sample clustering module for clustering the rogue program samples in a layer-by-layer manner and calculating VNFS of the result of clustering of each layer and a VNFS calculation module for calculating the VNFS of the result of family division of each layer. The system of the invention can find the family division result of the layer with the minimum VNFS value by comparing the VNFS values of all layers, namely, obtaining the optimal number of families.