250 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 Bsat) material, which is preferably FeRhN nanocrystalline films with lamination layers of CoZrCr. The second pole includes a thin inner layer of high Bsat 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.

First and second pressure sensors 132 and 134 that perform pressure detection over different pressure detection ranges from each other detect the pressure within a process chamber 102 of an etching device 100. A pressure controller 144 selects optimal pressure data in correspondence to the pressure inside the process chamber from the pressure data provided by the first and second pressure sensors 132 and 134. It also analyzes the selected pressure data at a resolution selected in correspondence to the pressure inside the process chamber 102 and thus obtains pressure data achieving a predetermined data density. The pressure controller 134 controls a pressure control valve 130 so as to ensure that the pressure data match preset pressure data.

A RISC processor implements an instruction set which, in addition to optimizing a relationship between the number of instructions required for execution of a program, clock period and average number of clocks per instruction, also is designed to optimize the equation S=IS * BI, where S is the size of program instructions in bits, IS is the static number of instructions required to represent the program (not the number required by an execution) and BI is the average number of bits per instruction. Compared to conventional RISC architectures, this processor lowers both BI and IS with minimal increases in clock period and average number of clocks per instruction. The processor provides good code density in a fixed-length high-performance encoding based on RISC principles, including a general register with load / store architecture. Further, the processor implements a simple variable-length encoding that maintains high performance.

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 discloses a laser radar road reconstruction and expansion exploratory survey design method. The method comprises the steps of A designing a result coordinate benchmark, measuring basic control and measuring pavement control points; B determining parameters including the data density, acquisition route and the like, and acquiring vehicle laser radar data along a main road and a ramp; C determining parameters including the data density, flight design and the like, and acquiring airborne laser radar data according to a designed flight strip; D realizing laser radar data fusion by refining laser point cloud plane coordinates and elevation coordinates and refining track line data; E acquiring characteristics of road traffic lane lines by using point cloud intensity information, and realizing extraction of characteristic lines of road pavements, protection and the like by adopting a method of projecting three-dimensional point clouds to a two-dimensional plane; F recovering planar elements and longitudinal surface elements of an existing road; G producing a DEM (digital elevation model), a DOM (digital orthophoto map) and a DLG (digital line graphic); H collaboratively designing laser radar measurement and road reconstruction and expansion CAD (computer-aided design), designing flat, longitudinal and transverse cross sections of a road, comparing and selecting schemes, and outputting final design drawings and charts.

A two-dimensional code for recognizing data in high speed and recording large amount of data in a limited space. The two-dimensional code was designed by locating one solid line that covers four corners of the area for matrix data element in order to obtain information of physical size of the two-dimensional code easily, and by arranging capture lines on the solid line to make a structure to obtain data density for capturing the two-dimensional code by high resolution CCD(Charged Coupled Devices) image scanner, and it can be presented that can store large amount of data in a limited size and generation of code with high density becomes possible.

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 technique of automatic printer color correction includes accessing characterization data of the color ink cartridge and rendering consistent color for the color ink jet printer based on the characterization data. The characterization data can be stored on a website and accessed over the Internet by providing an identifier of the color ink cartridge. The identifier can, for example, be the serial number of the color ink cartridge. The characterization data-density data, for example-can be added to a printer profile for the color ink jet printer.

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.

A two-dimensional code for recognizing data in high speed and recording large amount of data in a limited space. The two-dimensional code was designed by locating one solid line that covers four corners of the area for matrix data element in order to obtain information of physical size of the two-dimensional code easily, and by arranging capture lines on the solid line to make a structure to obtain data density for capturing the two-dimensional code by high resolution CCD(Charged Coupled Devices) image scanner, and it can be presented that can store large amount of data in a limited size and generation of code with high density becomes possible.

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.

Working with the grid mapping utility of the present invention is an easy way to log GPS positions and GIS data at waypoints arranged in an evenly spaced grid. This allows a field user to gather measurements made by field sensors such as depth sounders, chemical detectors and magnetometers. The field user can then create contour maps with the necessary density of data while avoiding any gaps that might force the field user to return to the field.

An apparatus, system, and method are disclosed for variable data density patterned media. The apparatus includes a patterned media recording surface comprising a plurality of sectors. Each sector may include a synchronization region configured to generate a signal in a read head, a first data region with a first data density configured to generate a signal with a first frequency, and at least a second data region with a second data density configured to generate a signal with a second frequency. The system includes a hard disk drive and the apparatus. The method includes sensing a signal in a read head, synchronizing the frequency and phase of a write clock with a predetermined frequency and phase of a synchronization region, and modifying the frequency of the write clock after a period of time determined in response to at least one physical characteristic of the disk.

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.

An implant device identifiable after implantation comprises a main portion of the implant device and a coded portion of the implant device. The coded portion comprises a radiopaque element and indicia on the radiopaque element or indicia as a plurality of radiopaque elements disposed within the coded portion. The indicia are discernible by x-ray, fluoroscopy, computed tomography, electromagnetic radiation, ultrasound, or magnetic resonance imaging.

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.

The invention relates to a mass spatial data density clustering method based on an elastic distribution dataset. According to the method, first, automatic meshing and data distribution are performed according to distribution of data in space based on the design ideology of "RDD partition--intra-partition parallel computing--local result merging" targeting quick mining of an aggregation characteristic base of large-scale spatial data, so that data volumes in meshes are relatively balanced, and the purpose of balancing arithmetic node loads is achieved; second, a local density definition suitable for parallel computing is proposed, a computing mode of a cluster center is improved, and the defect that a cluster center object needs to be judged by drawing a decision graph through an original algorithm is overcome; and last, quick clustering processing of the large-scale spatial data is realized through clustering, merging and other optimization strategies in the meshes and between the meshes. Through the method, quick clustering of the large-scale spatial data can be effectively realized, and the method has high precision and better system processing performance compared with traditional density clustering methods.

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 relates to a mixed collaborative recommendation algorithm based on WNBI (weighted network-based inference with z-score normalization) and RSVD (regularized singular value decomposition). According to the method, a WNBI algorithm is firstly used for abstracting users and items into nodes in a network; information hidden in the network is used; deeper potential information between the items is mined; a neighbor set similar to the items is found; secondly, an RSVD model is used for decomposing a user-item grading matrix into a user feature matrix and an item feature matrix; the data density is improved through dimension reduction; finally, the item neighbor information of the items is used for regularizing the RSVD model so as to overcome the defects of a conventional method. The mixed collaborative recommendation based on WNBI and RSVD (RSVD_WNBI) can use the information, obtained by the WNBI algoritm, hidden in the user-item network for regularizing the RSVD model, so as to improve the recommendation accuracy and effectively solve the grading matrix sparsity problem.

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 discloses an area data visualization method based on density clustering. The method comprises the steps that a multidimensional data warehouse set for clustering and load analysis is built, and a data model which is built in a multidimensional mode and facilitates simplifying business analysis complexity and improving data query performance is obtained; a clustering model based on density calculation is obtained; all data points are output through a display device, an area data visualization result based on density clustering is obtained, and area data visualization is achieved. By means of the area data visualization method based on density clustering, a visual effect picture of the area data density visualization is obtained, and foundations which are more stable and reliable can be provided for reasonable distribution and decision analysis development of industry resources.

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.