441results about How to "Accurate comparison" patented technology

Non-Subjective Valuing ©& is a computer-assisted valuing system for discovering both an entity's actual current societal monetary value and its contemporary monetary worth specifically to the inquiring individual person, group or corporation, providing a user with such target entity's retail and wholesale prices along with its true worth and specific value to the explorer, employing as yardstick the NORM, which is the hypothetical unit in any group that is accurately calculated to be both precisely average in every one of its collectively discoverable characteristics and its price, to which NORM yardstick the present invention compares any test unit in that group on a natural, quantified point basis to obtain such precise current monetary worth of any such test unit, employing a specially conceived, designed and explained organic application of inductive statistics, accurate sampling, central tendency, and statistical inference, for calculating; drawing scientifically valid conclusions about surveying a constantly and factually representative community (such as the United States, 1999, for example), combined with certain new discoveries and unique, novel processes, as set forth herein, enabling Non-Subjective Valuing ©& instantly and conclusively to empower a prospective trader objectively to compare the contemporary monetary values of any and all competing units in or out of any probed group, regardless of such competing units' respective current prices.

System comprised of a medical device and method for analyzing physiological and health data and representing the most significant parameters at different levels of detail which are understandable to a lay person and a medical professional. Low, intermediate and high-resolution scales can exchange information between each other for improving the analyses; the scales can be defined according to the corresponding software and hardware resources. A low-resolution Scale I represents a small number of primary elements such as intervals between the heart beats, duration of electrocardiographic PQ, QRS, and QT-intervals, amplitudes of P-, Q-, R-, S-, and T-waves. This real-time analysis is implemented in a portable device that requires minimum computational resources. The set of primary elements and their search criteria can be adjusted using intermediate or high-resolution levels. At the intermediate-resolution Scale II, serial changes in each of the said elements can be determined using a mathematical decomposition into series of basis functions and their coefficients. This scale can be implemented using a specialized processor or a computer organizer. At the high-resolution Scale III, combined serial changes in all primary elements can be determined to provide complete information about the dynamics of the signal. This scale can be implemented using a powerful processor, a network of computers or the Internet. The system can be used for personal or group self-evaluation, emergency or routine ECG analysis, or continuous event, stress-test or bed-side monitoring.

A method of analyzing debit and credit card transaction data to provide interpretations of customer purchasing patterns for use by third parties, such as financial services marketers, in providing offers and incentives to targeted groups of consumers. Bulk credit card or debit card transaction data that has been gathered for a large sample of cardholders is obtained, a multi-step process is applied to prepare the data for analysis, multiple categories of marketing “intelligence” or decisions are attached to each transaction contained in the bulk transaction data, a summation of all of the different intelligence categories for each cardholder and for the entire sample is performed to create comparative normalizations, and a score in vector form is generated for each customer based on differences or variations in the way in which that customer shops relative to the bulk-derived normalized data for each field or dimension within the comparative normalization.

An apparatus for wide-field functional imaging (WIFI) of tissue includes a spatially modulated reflectance / fluorescence imaging (SI) device capable of quantitative subsurface imaging across spatial scales, and a laser speckle imaging (LSI) device capable of quantitative subsurface imaging across spatial scales using integrated with the (SI) device. The SI device and LSI device are capable of independently providing quantitative measurement of tissue functional status.

The invention discloses a face identification method and apparatus. The method includes the steps of extracting face characteristic vectors of a face image to be identified by using a convolution neural network model. The face characteristic vectors comprise image characteristics and facial attribute characteristics. Matching degree between the face image to be identified and face images in a face template database is calculated according to the face characteristic vectors, and the identification result of the face image to be identified is determined according to the matching degree. During a face identification process, the face identification accuracy is effectively improved based on comprehensive comparison of the face image characteristics and facial attribute characteristics.

A system for evaluating and responding to customer satisfaction index (CSI) data generated by businesses such as automotive dealers and call centers. The system includes a reporting module providing on-line reporting of the CSI data, a diagnostic module for generating comparisons and for identifying issues relating to the CSI data, a research module for conducting on-line research relating to the generated comparisons and identified issues, a procedures module for viewing business procedures relating to the generated comparisons and identified issues, a training module for providing and tracking via on-line and / or off-line training affecting the generated comparisons, the identified issues and / or the procedures, a sales and recognition building module tracking motivation programs, and a customer retention module.

A communication system comprises at least a first and a second access point and a network arrangement device to receive radio signaling from at least a first station and to relay messages received through the radio signaling from the at least first station to the network management device. Each of the access points extracts performance data, for each message received from the at least first station, from the radio signaling. Each of the access points generates a message identity for each message received from the station. The message identity uniquely identifies a transmitted message, each of the at least first and second access point is provided to send radio performance messages to the network management device comprising at least the message identity and the performance data, and the network management device is provided to receive the radio performance messages from the at least first and second access point.

In one embodiment, the present invention is directed to an athleticism rating method for normalizing and more accurately comparing overall athletic performance of at least two athletes. Each athlete completes at least two different athletic performance tests. Each test is designed to measure a different athletic skill that is needed to compete effectively in a defined sport. The results from each test for a given athlete are normalized by comparing the test results to a database providing the distribution of test results among a similar class of athletes and then assigning each test result a point number based on that test result's percentile among the distribution of test results. Combining the point numbers derived from the at least two different athletic performance tests for an athlete produces an athleticism rating score representing the overall athleticism of each athlete.

Disclosed herein are embodiments of systems, devices, and methods automated document analysis and processing using machine learning techniques. In one embodiment, systems and methods are disclosed for automatically classifying documents. In another embodiment, systems and methods are disclosed for identifying new tags for untagged documents. In another embodiment, systems and methods are disclosed for identifying documents related to a target document.

Methods and apparatus facilitating radial profiling of formation mobility are disclosed. Radial profiling of formation mobility aids in an optimal completion of a well for enhanced production. Some aspects of the present invention provide a technique for radial profiling of formation mobility based on inverting differences between a Stoneley radial profile of horizontal shear slowness and a dipole radial profile of vertical shear slowness for a reservoir interval.

A process is disclosed for generating at least one partially double-stranded target nucleic acid, which contains at least one single-stranded region at a terminal end. The process comprises the steps of (a) providing at least one primer, P1, containing at least one labile nucleotide; (b) combining at least one target nucleic acid sequence with P1 to generate a double-stranded polynucleotide containing at least one labile nucleotide; (c) exposing the double-stranded polynucleotide to conditions that promote single-strand cleavage of the polynucleotide at the site of the at least one labile nucleotide of primer P1; and (d) exposing the cleaved polynucleotide to conditions that promote the dissociation of the cleaved portions of primer P1 from a terminal end. The labile nucleotide may be dUTP, wherein the single-stranded cleavage of the polynucleotide at the site of the labile nucleotide occurs by treatment with uracil N-glycosylase.

Each of an ultrasonic diagnostic apparatus and an image processing apparatus according to the present invention is characterized by comprising image acquisition means for acquiring image data by scanning a patient into whom an ultrasonic contrast medium has been injected, with ultrasonic beams, same-part correspondence means for bringing same parts into correspondence with each other, between a plurality of images concerning the same parts of the identical patient and acquired by the image acquisition means, arithmetic operation means for arithmetically operating image information items on changes of intensities between the plurality of images by using the intensities of those corresponding pixels of the plurality of images which have been brought into correspondence by the pixel correspondence means, and display means for displaying results operated by the arithmetic operation means. According to the construction, it is possible to provide the ultrasonic diagnostic equipment and the image processing apparatus which can compare the images before and after injection of a vasodilator drug, more accurately in contrast echo imaging.

In one embodiment, the present invention is directed to an athleticism rating method for normalizing and more accurately comparing overall athletic performance of at least two athletes. Each athlete completes at least two different athletic performance tests. Each test is designed to measure a different athletic skill that is needed to compete effectively in a defined sport. The results from each test for a given athlete are normalized by comparing the test results to a database providing the distribution of test results among a similar class of athletes and then assigning each test result a point number based on that test result's percentile among the distribution of test results. Combining the point numbers derived from the at least two different athletic performance tests for an athlete produces an athleticism rating score representing the overall athleticism of each athlete.

The invention provides an intelligent analysis approach for accurately and efficiently searching the consolidated text and the image of a criminal case strand. The approach includes the steps that the image of a database and the data information of a text are distilled to form a multidimensional vector feature of each case; an operational formula is defined for continuous data and discrete symbolic data to perform uniform treatment and calculation; the multidimensional vector is endowed with different weights; a rough and reduced technology is adopted, the multidimensional vector feature of each case is performed with the dimensionality reduction; the similarity of the case to be analyzed and each case of the database with a reduced vector is calculated, a serial parallel case which is relevant to the case to be analyzed in the database is found out. The adoption of the invention can combine the experience and the knowledge of an analyst to perform an agile and flexible search and survey interactively, provide the more accurate information of the serial parallel case for the crime-solving personal and improve the crime-solving efficiency.

During all or part of a time period during which pattern signals are received, a diversity receiving apparatus allows a gain control section to fix the gain of a gain amplifier section, allows an antenna switching section to sequentially switch the selection of antennas during antenna switching periods which are synchronized with averaging periods, and determines an antenna to receive data contained in a packet, based on the levels of average powers measured by an averaging section on an averaging period-by-averaging period basis.

This invention relates to computerized methods and systems for evaluating employee benefit plans. In one embodiment, a computerized method for determining improvement actions for an employee benefit plan includes uniquely associating an improvement action for one or more attributes of an employee benefit plan; receiving the status of one or more of the attributes for a first employee benefit plan; identifying the attributes of the first employee benefit plan which have a different status than a set of other employee benefit plans, and providing an action plan to improve the first employee benefit plan, the action plan comprising one or more actions associated with the identified attributes.

A system is provided for evaluating the quantitative impact of multiple solutions for improving enterprise operations in multiple value categories. Spreadsheet workbooks controlled by a programmed computer are used to analyze the “many-to-many” relationships between the multiple solutions and the multiple value categories. The workbooks are initially populated with “as is” key parameters representing an existing model of the operations. The computer calculates “what if” key parameter values representing the model with use of a selected solution, populates the workbooks with the “what if” values and then calculates the economic benefit of the selected solution in each of the value categories. The workbooks are linked such that a change to a key parameter in one workbook is automatically repeated in the other workbooks.

The present invention relates to a method and apparatus which quantifies radiation safety in medical imaging through the creation and analysis of objective data for each individual imaging procedure with respect to acquisition parameters, calculated radiation dose, and clinical data related to imaging examination selection and performance. The present invention also calculates a cumulative radiation dose based upon an individual patient's entire medical record, along with occupational and environmental exposures, to calculate a dynamic cumulative radiation-induced carcinogenesis risk. The present invention provides reforms to improve patient safety, quality and accountability, by creating a technology which simultaneously records and tracks objective data referable to radiation safety, medical imaging quality, and accountability among the various stakeholders and technologies in use. This quantifiable data is referred to as the Radiation Dose Quality Index (RDQI), and creates an objective, data-driven measure of quality and safety as it relates to medical practice.

A system and method of the invention adjusts an existing system model of a PV system to provide better information regarding projected performance of the PV system. The resulting model enables a user to more accurately compare actual versus expected performance, thereby quantifying performance degradation due to soiling, aging and component failures while also verifying the design assumptions. A method of the invention includes selecting days of historical data that will result in the highest quality results (e.g., high energy output, minimal clouds); determining key metrics and relationships between measured data and site characteristics to identify how to optimize model parameters; running simulations of the model over the key days to determine the best value for each model parameter that results in the closest match between the model and measured system output; and conducting iterations of the simulations to adjust various model parameters.

A method of handling multimedia data, is described, in which packets of a multimedia file from a first computer are received by a second computer. In case, a sub-portion of the multimedia file, representative of the multimedia file, was received by the second computer, before the entire file was received by the second computer, that sub portion is handled by the second computer transmitting to the first computer or to a third computer a result of the handling of the sub-portion, although the entire file was not received by the second computer at the time of the transmission of the result. Additionally, an image processing server is described comprising: a network interface adapted to receive packets, a communication manager adapted to manage reception of multimedia files through the input interface and to conclude when a sub-portion of a multimedia file, representative of the multimedia file received, and an image handling unit configured to handle said sub-portions.

Methods and devices for improving the machine-to-machine and temporal (e.g., inter and intra-machine) and database consistency of coronary calcium scoring by applying a filtering algorithm that sharpens and / or smoothes the image so as to return a filtered image having a spatial resolution of a certain reference value.

A parameter determining device configured to be installed in a vehicle includes an image acquirer, a parameter identifier, a synthetic image generator, and a validity judger. The image acquirer acquires camera images captured by cameras provided on the vehicle. The parameter identifier identifies installation parameters of the cameras based on the acquired camera images. The synthetic image generator generates a synthetic image showing a periphery of the vehicle viewed from a prescribed virtual viewpoint based on the acquired camera images and the identified installation parameters. The validity judger compares the synthetic image with a reference image showing the periphery of the vehicle viewed from a prescribed position to judge whether the identified installation parameters have validity.

One embodiment of the present invention sets forth a technique for predicting fraud by correlating user behavior biometric data with one or more other types of data. The technique includes receiving cursor movement data generated via a client device and analyzing the cursor movement data based on a model to generate a result. The model may be generated based on cursor movement data associated with a first group of one or more users. The technique further includes receiving log data generated via the client device and determining, based on the result and the log data, that a user of the client device is not a member of the first group.

The invention provides a method for removing lock of mobile phone screen based on a short voice command and a voice-print technology. The method comprises the steps that: in a preset stage, a user inputs preset voice passwords and executes quick fourier change so as to determine a pass threshold; and in an unlocking stage, the user inputs unlocked voice passwords and executes quick fourier changeso as to compute a difference value between an unlocked voice password frequency domain signal and a preset voice password frequency domain signal, judges whether the mobile phone is unlocked by comparing whether the difference value is smaller than the pass threshold, and unlocks the locking state of the mobile phone. the method is convenient and fast and ensures the use safety of the mobile phone; rules on the computing of the difference value are conducted on the basis, technologies containing framing and windowing, MFCC (Mel-Frequency Cepstral Coefficient) computing and vector quantization processing are introduced, so that the sound characteristics of the user can be accurately extracted and compared, and the user experience on portability and safety is improved.

In one embodiment, the present invention is directed to an athleticism rating method for normalizing and more accurately comparing overall athletic performance of at least two athletes. Each athlete completes at least two different athletic performance tests. Each test is designed to measure a different athletic skill that is needed to compete effectively in a defined sport. The results from each test for a given athlete are normalized by comparing the test results to a database providing the distribution of test results among a similar class of athletes and then assigning each test result a point number based on that test result's percentile among the distribution of test results. Combining the point numbers derived from the at least two different athletic performance tests for an athlete produces an athleticism rating score representing the overall athleticism of each athlete.

The invention discloses an RPA robot intelligent element positioning and picking method and system. According to the method, firstly a problem that a remote desktop, a virtual system and other elements cannot be positioned and operated is solved through employing a computer vision technology combining template matching, OCR and image retrieval, and a proposed new scheme can more accurately and stably locate and pick up the positions and contents of the elements on the picture; secondly, an element positioning scheme based on template matching is adopted, a large number of labeling samples arenot needed, and the scheme is more stable and controllable; thirdly, pixel point features, corner point features and convolution features of a deep neural network are fused, so that the template matching effect is more accurate and stable, and meanwhile, the OCR technology can further assist in positioning elements with text information; and finally, a template library retrieval engine is constructed by adopting an image retrieval technology, and which application the page picture to be processed belongs to can be accurately judged, so that the problem of low retrieval and matching speed caused by template library growth in multiple scenes is solved.