79 results about "Informative snps" patented technology

A system and method for analyzing and improving the performance of an athletic motion such as a golf swing requires: instrumenting a user with inertial sensors and video cameras and monitoring a golf swing or such other athletic motion of interest; drawing upon and contributing to a vast library of performance data for analysis of the test results; the analysis including scoring pre-defined parameters relating to component parts of the motion and combining the parameter scores to yield a single, kinetic index score for the motion; providing a real-time, information rich, graphic display of the results in multiple, synchronized formats including video, color coded and stepped frame animations from motion data, and data/time graphs; and based on the results prescribing a user-specific training regime with exercises selected from a library of standardized exercises using standardized tools and training aids.

Methods, devices, systems and tools are presented that allow the summarization of text, audio, and audiovisual presentations, such as movies, into less lengthy forms. High-content media files are shortened in a manner that preserves important details, by splitting the files into segments, rating the segments, and reassembling preferred segments into a final abridged piece. Summarization of media can be customized by user selection of criteria, and opens new possibilities for delivering entertainment, news, and information in the form of dense, information-rich content that can be viewed by means of broadcast or cable distribution, “on-demand” distribution, internet and cell phone digital video streaming, or can be downloaded onto an iPod™ and other portable video playback devices.

Apparatus and methods useful in surveying to provide information rich models. In particular, information not readily or possibly provided by conventional survey techniques can be provided. In some versions targets provide reference for baseline positioning or improving position information otherwise acquired. Scanning may be carried out in multiple locations and merged to form a single image. Machine mounted and hand mounted scanning apparatus is disclosed.

A system and method for processing and storing personal information in a secure manner is described. In particular, a system and method for processing, splitting and storing genomic information or portions thereof in a secure electronic format is disclosed. An individual's genomic sequence is digitized and a splitting algorithm applied to fragment and randomise the digitized genomic information into at least two separate datasets. One dataset is retained by the individual and the second dataset is stored on a central server as a secure database record. Each dataset in isolation presents uninformative data and it is only when both datasets are combined, using a reconstruction algorithm to recombine the separate dataset data for an individual that the digitized data is capable of being presented into a useable and informative format.

A system for a secure cardholder and storage device includes a mobile communication device and a secure card transporter (SCT). The SCT includes a Near Field Communication (NFC) chip, a microprocessor, a magnetic stripe card reader, a contact chip card reader, a contactless card reader, an audio jack interface and a micro-USB interface. The SCT interfaces with the mobile communication device via the audio jack interface or the micro-USB interface, and the SCT captures payment card data and transmits the captured payment card data to a merchant point of sale (POS) checkout system both in the physical and virtual environments. The system provides convenient buying experience for buyers, and secure and informative transaction for sellers.

The invention provides nucleic acid segments of the human genome including polymorphic sites, SNP haplotype blocks, SNP haplotype patterns for each block and informative SNPs for each pattern. Allele-specific primers and probes hybridizing to regions flanking these sites are also provided. The nucleic acids, primers and probes are used in applications such as association studies and other genetic analyses.

The present invention provides a technology called Pulse-Multiline Excitation or PME. This technology provides a novel approach to fluorescence detection with application for high-throughput identification of informative SNPs, which could lead to more accurate diagnosis of inherited disease, better prognosis of risk susceptibilities, or identification of sporadic mutations. The PME technology has two main advantages that significantly increase fluorescence sensitivity: (1) optimal excitation of all fluorophores in the genomic assay and (2) “color-blind” detection, which collects considerably more light than standard wavelength resolved detection. Successful implementation of the PME technology will have broad application for routine usage in clinical diagnostics, forensics, and general sequencing methodologies and will have the capability, flexibility, and portability of targeted sequence variation assays for a large majority of the population.

A diagnostic golf club system having a diagnostic golf club, an interface means and a computing means is disclosed herein. The diagnostic golf club includes a plurality of strain gauges, an internal power supply, and a non-volatile memory for capturing data relating to a golf swing. The interface means is capable of transferring data from the diagnostic golf club to the computing means for processing the data and presenting the data in a useful and informative format. The data may be used to determine a shaft flex profile for a particular golfer.

The present invention provides a method and system for valuing patent assets based on statistical survival analysis. An estimated value probability distribution curve is calculated for an identified group of patent assets using statistical analysis of PTO maintenance fee records. Expected valuations for individual patent assets are calculated based on a the value distribution curve and a comparative ranking or rating of individual patent assets relative to other patents in the group of identified patents. Patents having the highest percentile rankings would be correlated to the high end of the value distribution curve. Conversely, patents having the lowest percentile rankings would be correlated to the low end of the value distribution curve. Advantageously, such approach brings an added level of discipline to the overall valuation process in that the sum of individual patent valuations for a given patent population cannot exceed the total aggregate estimated value of all such patents. In this manner, fair and informative valuations can be provided based on the relative quality of the patent asset in question without need for comparative market data of other patents or patent portfolios, and without need for a demonstrated (or hypothetical) income streams for the patent in question. Estimated valuations are based simply on the allocation of a corresponding portion of the overall patent value “pie” as represented by each patents' relative ranking or position along a value distribution curve

The subject invention provides an improved system and method for combining data obtained from the NEXRAD TM system of the National Weather Service ("NWS") with geographical and topological data base information to achieve an improved and informative graphical storm-tracking display able to project the movement of a storm with a single user-operation. The method of projecting storm movement includes the following steps: collecting NEXRAD data attributes from a weather data source; calculating storm position using the collected NEXRAD attributes; calculating projected storm movement using the storm position and the collected NEXRAD attributes; displaying a graphic representation of the projected storm movement.

A method, computer program product, system and apparatus are presented for reducing wasted bandwidth due to supercasting multicast cells through a router switch fabric. In one embodiment of the present invention, signatures of a switch fabric destination address are generated and compared. A signature is an information-rich representation of the fabric destination address that is generated using the fabric destination address. Therefore, supercasting can be minimized by combining fabric destination addresses with like signatures. Aspects of the present invention include generating the signatures using random permutation maps of the set of switch fabric ports or determining intersections of a fabric destination address with a selection of subsets of the switch fabric ports. Signature-based solutions for supercast minimization can be performed in a time-efficient manner and be implemented online, while solutions that can generate a more optimal solution but may take a longer time to perform, such as row-clustering, can be implemented off-line. A further aspect of the invention, incorporates an off-line row-clustering supercast minimization method with an on-line signature-based supercast minimization method.

The invention discloses a numerical control machine tool translational shaft geometric error measuring device and measuring and identifying method. A laser tracker is used for successively measuring axial feed movements of three fixed points of a single machine tool translational shaft at four different positions, the real-time poses of the translation shaft is calculated by the special continuous moving trajectory of the three fixed points, and errors of a machine tool are identified. Due to the fact the real-time poses of the translation shaft are measured, the acquired machine tool information is much richer than the information acquired by only measuring cutter moving trajectory, and error identification algorithm is quite simple. The method suitable for fast data processing, machine tool error fast compensation and precision detection in the field of machine tools has the advantages of high precision, fast and simple operation, rich measuring information, and the like.

The invention is an electronic shelf (eShelf). The eShelf uses highly conductive electrodes to solve the long-line addressing problems using very-simple, low-cost manufacturing processes to build very-long, reflective, “no-power”, full-color, liquid crystal displays (LCDs) with perfect image retention. The electronic shelf is composed of an eSheet cholesteric LCD attached to a shelf product sensor pad that can turn a normal store aisle into an interactive, full-color, fun and informative shopping experience. The eShelf is the next generation of in-store smart technology combining product management with customer interaction and advertising. The true success of the eShelf will depend on the countless apps that will run on or interact with the eShelf to help customers make their purchasing decisions. These software applications will allow the eShelf to interact with the customers smart mobile device, such as, a tablet, smartphone, smartwatch, or Google Glass.

Droplets or plugs within multiphase microfluidic systems have rapidly gained interest as a way to manipulate samples and chemical reactions on the femtoliter to microliter scale. Chemical analysis of the plugs remains a challenge. It has been discovered that nanoliter plugs of sample separated by air or oil can be analyzed by electrospray ionization mass spectrometry when pumped directly into a fused silica nanospray emitter nozzle. Using leu-enkephalin in methanol and 1% acetic acid in water (50:50 v:v) as a model sample, we found carry-over between plugs was <0.1% and relative standard deviation of signal for a series of plugs was 3%. Detection limits were 1 nM. Sample analysis rates of 0.8 Hz were achieved by pumping 13 nL samples separated by 3 mm long air gaps in a 75 μm inner diameter tube. Analysis rates were limited by the scan time of the ion trap mass spectrometer. The system provides a robust, rapid, and information-rich method for chemical analysis of sample in segmented flow systems.

The invention discloses an automatic calibration method of a pointer type automobile meter based on an HIS model and Hough conversion. Aiming at the characteristic of rich color information of the automobile meter and shadow phenomenon existing at the periphery of a target area when collecting images, an instrument panel image under an RGB model is converted into the HIS model so as to eliminate shadow influence; tone and saturation component are utilized as characteristic parameters to carry out image segmentation; Hough conversion is used for detecting targets; and finally, deflection anglescorresponding to zero calibration tail when the pointer points to major calibration tails are respectively calculated and compared with corresponding standard deflection angles, and if the result exceeds permissible error range, readjustment needs to be carried out. The automatic calibration method can effectively improve the calibration correction rate and efficiency of the pointer type automobile meter, and provides powerful means for automatic production of the automobile meter.

The invention discloses a fusion method of an indoor SLAM map based on visual perception and laser detection. The method comprises the steps of the laser detection, constructing a three-dimensional point cloud map, filtering and projection processing and map fusion; through the steps, on the one hand, a two-dimensional laser detection map containing ground height information is obtained, on the other hand, a three-dimensional visual perception point cloud map is obtained, and then after the three-dimensional visual perception point cloud map is filtered and projected, a two-dimensional visualperception map containing obstacle information is obtained; and finally, the two-dimensional laser detection map and the two-dimensional visual perception map are fused to obtain a two-dimensional fusion map. According to the fusion method of the indoor SLAM map based on the visual perception and the laser detection, the influential obstacle information in the process of robot navigation can be fused into two-dimensional map information to generate a two-dimensional map with high accuracy and rich information, and the practicability in an indoor environment for robot mobile navigation and pathplanning is high.

The invention discloses an image fusion method based on dynamic target detection, belonging to the technical field of image processing. The method comprises the following steps: detecting and extracting a moving object in an infrared image sequence; carrying out quick rectification on a low-light image by using the infrared image as a reference; then fusing infrared images and the low-light image;and finally, carrying out secondary fusion on the extracted object and the fusion image. Proved by experimental results, the fusion image obtained in the invention not only has the characteristic ofabundant information of an ordinary fusion method, but also has vivid infrared object indication characteristics. In addition, the invention can also provide coordinate information of the infrared object, which provides a probability for accurately positioning the object, and has wide application prospect in military and civil fields such as night investigation, security monitoring, and the like.

The invention discloses an unmanned aerial vehicle landing landform image classification method based on a DCT-CNN model. The method comprises the following steps of acquiring a training image set anda test image set of unmanned aerial vehicle landing landform images; carrying out DCT conversion on the unmanned aerial vehicle landing landform images and carrying out DCT coefficient screening; aiming at characteristics of complex unmanned aerial vehicle landing landform image scenes and abundant information, constructing a DCT-CNN network model; inputting a DCT coefficient of a training set into the improved DCT-CNN model so as to train, carrying out parameter updating on a network till that a loss function is converged into one small value, and then ending the training; taking a trainingimage characteristic set as a training sample so as to train a SVM classifier; and inputting a test set, using a trained model to carry out layer-by-layer learning on a test image, and finally inputting an acquired characteristic vector into the trained SVM classifier so as to carry out classification, and acquiring a classification result. In the invention, a data redundancy is reduced, trainingtime is greatly shortened, and classification accuracy of the unmanned aerial vehicle landing landform images is effectively increased.

A system and method for controlling the volume output of speakers comprising outputting a varying volume control signal in response to movement of a volume control element. In response to the volume control signal, increasing a volume level of a speaker in a linear correlation with the movement of the volume control element as the volume control element is moved between a first position and a second position. In response to the volume control element moving beyond the second position, increasing the volume level of the speaker to increase asymptotically as the volume control element is moved beyond the second position. Additionally, a visual indicator, such as LED lights, provides an interesting and informative display as the volume level is changed.

The invention discloses a new cell type identification method based on similarity learning and enhancement thereof. The method designs a new global similarity calculation method, combines with other three conventional local similarity information, screens the genes, and carries out enhancement processing on the global similarity with sparse properties. According to the method, a global similaritycalculation method different from the traditional calculation of the local point-to-point similarity is used, the gene selection and the similarity enhancement are carried out by combining multiple different similarities including the global similarity and the local similarity, and a similarity matrix rich in information is obtained. According to the method, the influence of the factors, such as the technical noise, the biological noise, etc., carried by the single cell data can be effectively reduced, and the type of the single cell can be more accurately identified.

The disclosed systems and techniques apply innovative cross-disciplinary machine intelligence to security in computer networks to provide automated threat characterization. A process of successive abstraction is employed, adding progressively more information-rich semantic description and story-telling context to raw anomalous events. This descriptive information and narrative of sequences and connections enables network defenders to make faster, more accurate, and more complete decisions about where to direct their attention in order to identify and respond to the true threats before they accomplish their objectives.

There is provided a non-destructive inspection device having an actuating portion and at least one inspecting portion. The inspecting portion(s) are magnetically coupled to the actuating portion so that the inspecting portion(s) may be moved into limited-access areas to inspect features of a structure. The inspecting portion(s) each include at least one inspection sensor that transmits and/or receives signals that, when processed, indicate defects in the features of the structure. The actuating portion may include a handle for manual movement of the inspection device, or alternatively may include a motorized drive wheel for motorized positioning of the inspection device. A positional encoder device, such as an encoder wheel or optical encoder, may also be included in the actuating portion or inspecting portion(s) to monitor the location of the inspection device for more accurate or informative inspection results.