249 results about "Data density" patented technology

An inductive write element is disclosed for use in a magnetic data recording system. The write element provides increased data rate and data density capabilities through improved magnetic flux flow through the element. The write element includes a magnetic yoke constructed of first and second magnetic poles. The first pole includes a pedestal constructed of a high magnetic moment (high B_sat) material, which is preferably FeRhN nanocrystalline films with lamination layers of CoZrCr. The second pole includes a thin inner layer of high B_sat material (also preferably FeRhN nanocrystalline films with lamination layers of CoZrCr), the remainder being constructed of a magnetic material capable of being electroplated, such as a Ni—Fe alloy. An electrically conductive coil passes through the yoke between the first and second poles to induce a magnetic flux in the yoke when an electrical current is caused to flow through the coil. Magnetic flux in the yoke produces a fringing field at a write gap whereby a signal can be imparted onto a magnetic medium passing thereby.

A spin valve device includes a non-magnetic enhancement layer adjacent an ultra thin free layer. The thickness of the free layer may be less than the mean free path of a conduction electron through the free layer. The GMR ratio is significantly improved for free layer thicknesses below 50 Å. The enhancement layer allows electrons to travel longer in their spin state before encountering scattering sites. The electronic properties of the enhancement layer material can be matched with the adjacent free layer without creating a low resistance shunt path. Because the free layer may be made ultra thin and the enhancement layer is formed of a nonmagnetic material, less magnetic field is required to align the free layer, allowing for improved data density. Also, the enhancement layer allows for effective bias point control by shifting sensor current density distribution.

A storage device equipped with NAND flash memory and method for storing information thereof includes a SLC processing structure to provide fast information access and improve processing performance and a MLC processing structure to increase data density of each storage unit and reduce the cost and size of each unit of information. The data storing method includes storing important information such as operating system programs, application programs and information that have been accessed frequently in the SLC processing structure, and storing ordinary information in the MLC processing structure to reduce the cost and size of each unit of information.

The invention is applied to the technical field of three-dimensional sensing, and provides a three-dimensional detection system for the surface of a large thin-shell object and a detection method thereof. The detection method comprises that: three groups of sensors project fringes to the surface of an object to be detected in the upper, middle and lower directions of the object to be detected, acquire a deformation fringe graph, acquires phase distribution information, and acquires three-dimensional depth data of each viewing field by combining phase and depth mapping principle; multi-sensor calibration information is matched with the depth data acquired by the three sensors, and multi-angle data is matched to the same coordinate system; and dimensions are acquired and models are compared, namely the measured three-dimensional data is matched with a computer-aided design (CAD) model, distances from all measuring point to the CAD model are calculated, error distribution pseudo-color pictures of the inner side face, outer side face, inner bottom surface and outer bottom surface of the object, and the related dimension of the object, such as the length, width, height, wall thickness and the like are calculated by methods such as ray tracing and the like.

A method for testing a signal path for mark ratio tolerance includes generating a varying test pattern by selecting between a first pattern and a second pattern according to a defined sequence; and sending the varying test pattern over the signal path. An apparatus disposed in a communication system includes a selection circuit for generating a varying test pattern to send over the signal path, the selection circuit generating the varying test pattern by selecting between a first pattern and a second pattern according to a select sequence signal, and a sequencer coupled to the selection circuit, the sequencer providing the select sequence signal to the selection circuit, the sequencer generating the select sequence signal according to a mode value. The mark ratio tolerance of a system can be tested, varying the data density of one portion of the signal path while maintaining a constant data density on another portion of the signal path.

A difference region extracting section 122 extracts differential regions based on screen data of a previous screen stored in transmission screen data storage section 124 and a current screen stored in a screen data storage section 121. A priority determining section 123 calculates change data density indicating a degree of a change of pixel values for every differential region. For example, when a user operates an icon on the screen, the change data density of the differential region corresponding to the icon becomes larger than the change data density of the differential region corresponding to the background portion of a video image. An encoding section 125 writes screen code data of each differential region in a transmission buffer 141 in descending order of the change data density.

Dynamic processor allocation is implemented based upon bitmap data density. A bitmap index is used to process the query. A bitmap is created for the query. The bitmap is partitioned into single I/O operations. A variable partition size is provided based upon data density. Data density for each partition is calculated. Processors are assigned based upon data density of each partition. Then the partitions are processed and query results are returned.

The object of the invention is a high data density holographic data storage method. The holograms are written into the volumetric data storage layer or layers, and during the writing process the accurate places of holograms in the data carrier structure are determined by the intersection domain of the object and reference beam or beams, and during the reading process the selection of holograms simultaneously illuminated by the reference beam or beams, the read-out of the addressed hologram, and the suppressing of un-addressed holograms are carried out by a spatial filter located confocally with the addressed hologram and/or by satisfying the Bragg condition. The optical arrangement for recording and reading out holograms has three dedicated planes in confocal arrangements, where the addressed hologram is in the middle dedicated plane in the storage material, and in the two outer dedicated planes there are spatial filters. The optical arrangement is a 12f optical System consisting of three pairs of objectives.

Reducing alignment errors between a read element and corresponding write elements permits narrower data tracks and, hence, greater data density on magnetic tape. A method for manufacturing a thin film tape head having multiple write elements and at least one read element corresponding to each write element is provided. Excess material is trimmed from each write element to align the write element with corresponding read elements. The excess material may be track trimmed using a focused ion beam.

A hierarchical cellular radio communication system comprises a plurality of pico cells (106) and an umbrella macro cell (102), each cell having a controlling primary station (104, 108). A secondary station (110) has a communication channel with the system split into a control sub-channel (212), for the transmission of control information, and a data sub-channel (214), for the transmission of user data. The control sub-channel connects the secondary station to the primary station serving the macro cell while the data sub-channel connects the secondary station to the primary station serving the pico cell. The control portions of the channel are largely served by the umbrella macro cell to reduce the overheads of frequent mobility management, while the data portions are largely served by the pico cells which can support high data rates and large data density. For a system serving packet data, the pico cell layer can be non-contiguous.

Systems, methods, and computer products that interpret, explain, and manipulate exceptions in multidimensional data. The present invention assists the data analyst by providing a simplified view of the multidimensional data that enables analysis of the important results of data exception exploration. Further, the preferred embodiment of the present invention incorporates the effect of density of the data along each dimension. The preferred embodiment of the present invention also provides the framework necessary to assign linguistic meaning to the exception for each dimension. This enables data analysts to obtain information about the value of the data that is present.

The invention discloses a laser scanning three-dimensional point cloud tree automatic classifying method based on deep learning. The method can used to automatically classify an extracted single tree having a trunk and crown structure. A rotary side surface projection method is employed, and effective model training can be conducted even when tree data is less. Since a normalized pretreatment method is employed, the defect that the point cloud data densities of different distances (to a scanner) are non-uniform can be overcome. The influence of acquisition equipment on the result is minimal, and the result is more stable. Since deep learning is employed for model training, the accuracy for automatically classifying a plurality of trees is improved. A characteristic vector is used as a unit for calculation, and the calculation speed is fast. The method is more suitable for large-scale point cloud scene and has practical meanings and application values.

The invention discloses a box separation method based on k-means clustering. The box separation method comprises the following steps that continuous variables are preprocessed; normalization processing is carried out on the preprocessed data, a k-means clustering algorithm is applied on the data obtained after the normalization processing is carried out to divide the data into a plurality of sections; the equal interval method is adopted for setting the initial center of the k-means clustering algorithm to obtain clustering centers; after the clustering centers are obtained, the midpoint of the adjacent clustering centers is used as a classification division point, each object is added into the closest class, and therefore the data are divided into the multiple sections; each clustering center is calculated again, then the data are divided again until each clustering center does not change any more, and the final clustering result is obtained. According to the box separation method, the technical problem that errors are likely to be caused for a data set with the obvious data density distribution bias according to an existing box separation method is solved, the k-means clustering algorithm does not select the initial center randomly any more, and the data separation result is accurate.

A magnetic sensor utilizing the spin Hall effect to polarize electrons for use in measuring a magnetic field. The sensor eliminates the need for a pinned layer structure or antiferromagnetic layer (AFM layer), thereby reducing gap thickness for increased data density. The sensor includes a non-magnetic, electrically conductive layer that is configured to accumulate electrons predominantly of one spin at a side thereof when a current flows there-through. A magnetic free layer is located adjacent to the side of the non-magnetic, electrically conductive layer. A change in the direction of magnetization in the free layer relative to the orientation of the spin polarized electrons causes a change in voltage output of the sensor.

The invention is applicable to the field of indexing technologies and provides a parallel indexing method supporting real-time biased query of high dimensional data. The method includes: a query system extracts features of data attribute by means of MapReduce and the like and inputs the features; a plurality of index servers in the query system establish parallel indexes by a Hash function which flexible divides data buckets according to data density; distance change carried by biased query is projected to map to the index servers of the query system by a directed clustering mapping method; if mapping errors exceed the range acceptable to users, the query system submits the biased query to the parallelly-combined index servers for respective processing; the parallelly-combined index servers return screened results respectively according to weight ratios given by users; all returned results are calculated and combined to ensure returning of query response results in the determined time. The method has the advantage that massive data can be handled.

The invention relates to a detection method which is mainly used for coal mine underground detection, in particular to a transient electromagnetic simulated earthquake detection method used for coal mine underground. According to the method, measured data are added for each detection grid, influences caused by environmental factors in a roadway are substantially weakened, the density of detection data passing abnormal bodies is enhanced, and transient field data are converted into virtual wave field data, so that the influence caused by the volume effect of the electromagnetic method is weakened; meanwhile, the advanced fine processing technology of earthquakes is adopted for the method, fine explanation of geological anomalies is facilitated, and the detection accuracy for potential mine water disaster hazards can be remarkably improved.

The invention provides a method of processing an image containing written information include the steps of (a) scanning a surface of an object to obtain an image of the surface represented by first image data, (b) creating second image data from the first image data, the second image data having a lower data density than the first image data, (c) analyzing the second image data with first image analysis logic to decode the written information, and (d) if the written information cannot be decoded to a desired extent from the second image data, analyzing the first image data with second image analysis logic different from the first image analysis logic to decode the written information. Steps (a) and (b) preferably use a single scanning device to create the high data density image (e.g., color or grayscale) from which the lower data density image (e.g., binary or black and white) can then be created. The resulting two-stage image analysis provides a significant improvement in OCR results. Further, when a pre-printed bar code is present but does not result in a destination bar code, using the methods of step 7, determining the destination address zip code using OCR techniques, printing the resultant ZIP Code and sorting the mail based on the new OCR derived data.

The invention discloses an airborne laser point cloud data and vehicle laser point cloud data fusion method, comprising: employing airborne data as reference data to extract homonymy points or same characteristic lines of vehicle laser point cloud data; matching the vehicle laser point cloud data and airborne laser point cloud data in a vehicle laser point cloud data coordinate system; performing thinning treatment on the vehicle laser point cloud data in the coordinate system, and removing superfluous vehicle laser point cloud data; classifying the vehicle laser point cloud data in the coordinate system according to ground object types, and obtaining vehicle laser point cloud data of different types; and deleting the overlapped section between the airborne laser point cloud data and the vehicle laser point cloud data under the same category in the coordinate system, maintaining the point cloud data with relatively high data density in the overlapped section under the same category, and obtaining fused point cloud data. The scheme overcomes the difference of resolution ratio and data size between two types of data, and can well fuse the two types of data.