1049results about How to "Improve data quality" patented technology

An optical image-based tracking system determines the position and orientation of objects such as biological materials or medical devices within or on the surface of a human body undergoing Magnetic Resonance Imaging (MRI). Three-dimensional coordinates of the object to be tracked are obtained initially using a plurality of MR-compatible cameras. A calibration procedure converts the motion information obtained with the optical tracking system coordinates into coordinates of an MR system. A motion information file is acquired for each MRI scan, and each file is then converted into coordinates of the MRI system using a registration transformation. Each converted motion information file can be used to realign, correct, or otherwise augment its corresponding single MR image or a time series of such MR images. In a preferred embodiment, the invention provides real-time computer control to track the position of an interventional treatment system, including surgical tools and tissue manipulators, devices for in vivo delivery of drugs, angioplasty devices, biopsy and sampling devices, devices for delivery of RF, thermal energy, microwaves, laser energy or ionizing radiation, and internal illumination and imaging devices, such as catheters, endoscopes, laparoscopes, and like instruments. In other embodiments, the invention is also useful for conventional clinical MRI events, functional MRI studies, and registration of image data acquired using multiple modalities.

The invention relates to methods for pairwise sequencing of a double-stranded polynucleotide template, which methods result in the sequential determination of nucleotide sequences in two distinct and separate regions of the polynucleotide template. Using the methods of the invention it is possible to obtain two linked or paired reads of sequence information from each double-stranded template on a clustered array, rather than just a single sequencing read from one strand of the template.

Configurations for stationary imaging systems are provided. The configurations may include combinations of various types of distributed sources of X-ray radiation, which generally include addressable emitter elements which may be triggered for emission in desired sequences and combinations. The sources may be ring-like, partial ring-like, or line-like (typically along a Z-axis), and so forth. Combinations of these are envisaged. Corresponding detectors may also be full ring detectors or partial ring detectors associated with the sources to provide sufficient coverage of imaging volumes and to provide the desired mathematical completeness of the collected data.

Configurations for stationary imaging systems are provided. The configurations may include combinations of various types of distributed sources of X-ray radiation, which generally include addressable emitter elements which may be triggered for emission in desired sequences and combinations. The sources may be ring-like, partial ring-like, or line-like (typically along a Z-axis), and so forth. Combinations of these are envisaged. Corresponding detectors may also be full ring detectors or partial ring detectors associated with the sources to provide sufficient coverage of imaging volumes and to provide the desired mathematical completeness of the collected data.

A transfer assembly comprising an intracorporeal transfer coil of an implant, and an extracorporeal transfer coil of an extracorporeal supply unit. The transfer coil of the implant has permanently associated therewith a transmitting element. The transfer coil of the supply unit has permanently associated therewith at least one receiving element. Further, the supply unit comprises an evaluation module connected with the receiving element and issuing a locating signal depending on an offset and / or a direction of offset of the transmitting element relative to the receiving element.

A system to monitor drilling rig activity and to provide and manage drilling rig information, program product, and associated methods are provided. The system can include a communication network, a drilling rig information management server, a database accessible to the processor of the server, and drilling rig information management program product stored in the memory of the drilling rig information management server and including instructions that when executed by the processor of the drilling rig information management server cause the server to perform the operations of retrieving drilling rig location data from the database responsive to user selection of a geospatial location attribute, accessing digital mapping data to display a digital map associated with the user selected geospatial location attribute, and providing data to display indicia of a drilling rig location for at least one drilling rig overlaid upon and spatially oriented to at least portions of the digital map.

A method of conducting multiple source, multiple signal seismic surveys in a marine environment are provided.

Classification of collections of items such as words, which are called “document classification,” and more specifically explaining a classification of a document, such as a web-page or website. This can include exemplary procedure, system and / or computer-accessible medium to find explanations, as well as a framework to assess the procedure's performance. An explanation is defined as a set of words (e.g., terms, more generally) such that removing words within this set from the document changes the predicted class from the class of interest. The exemplary procedure system and / or computer-accessible medium can include a classification of web pages as containing adult content, e.g., to allow advertising on safe web pages only. The explanations can be concise and document-specific, and provide insight into the reasons for the classification decisions, into the workings of the classification models, and into the business application itself. Other exemplary aspects describe how explaining documents' classifications can assist in improving the data quality and model performance.

A method automatically detects and corrects errors in a container inventory database associated with a container inventory tracking system of a container storage facility. A processor in the inventory tracking system performs a method to detect errors; this method of error detection obtains a first data record, identifies an event (e.g., pickup or drop-off of a container, or movement of handing equipment) associated with the first record, provides a list of error types based on the identified event, and determines whether a data error has occurred through a checking process. To correct the errors, this method further sets search criteria based on the error detection results, queries the inventory tracking database using the set criteria, determines error candidates based on the query results, evaluates the error candidates to identify a match or matches among the error candidates, and corrects the error(s) by modifying the error detection results together with the identified match or matches.

The invention discloses a human face payment authentication system and method. The human face payment authentication system comprises a human face original data binding module, a face quality evaluation module, a face posture correction module, a human face recognition module and a payment data intelligent treatment module, wherein the human face original data binding module uses standard user face information as original binding data; the face quality evaluation module is used for performing comprehensive quality evaluation of data collection faces and screening comparison data; the face posture correction module is used for correcting deviated postures on the premise that the face data is not lost; the human face recognition module is used for collecting information of human faces needing to be compared, extracting face feature information and comparing the face feature information with corresponding face feature information in a database so as to judge whether the feature information belongs to the same person; the payment data intelligent treatment module is used for performing comprehensive evaluation and judgment on human face information after human face payment authentication transaction is successful. The human face payment authentication system and method provided by the invention can be used for improving the safety and convenience of payment, and meanwhile, the recognition accuracy of the system is improved.

In one embodiment of the invention, an interactive vital signs scanning method is disclosed including concurrently scanning for a plurality of vital signs with a portable vital signs scanner; detecting movement of the portable vital signs scanner during the scanning for the plurality of vital signs; and determining a measure of quality of the scanning for the plurality of vital signs with the portable vital signs scanner. In another embodiment, a method of improving the quality of vital signs data is disclosed including concurrently sensing data from a plurality of vital signs sensors over a period of time with a portable vital signs scanner; determining a plurality of vital sign values for a respective plurality of vital signs in response to the sensed data from the plurality of vital signs sensors over the period of time; and fusing at least two vital sign values of the plurality of vital sign values for the respective plurality of vital signs.

A method for credit risk evaluation includes receiving a set of credit related data associated with a client. Risk events are detected from this set of credit related data according to preset rules, and a set of thresholds and filters is applied to determine whether each detected risk event is to be alerted or not. A risk event qualifying for being alerted can be directly alerted to a client advisor associated with the client. A first answer from the client advisor is received concerning the reported risk event. A response date is set for the alerted risk event. If the risk event persists at the response date, the client advisor is re-alerted as to the risk event according to the set rules.

The invention relates to a global system for analyzing credit risk, comprising a client, a server and a general database, wherein the client is connected to the server through a server interface and is equipped with a client anonymous security mechanism module, and the server comprises a basic data module, an intelligent transition module of financial statements, a credit level calculating module, a Basel II frame module, a dynamic commercial-rule configuration-method module, a credit process analyzing module and the general database. Various modules are used to supply sufficient bases for final credit risk analysis, thereby improving accuracy of the analysis result. The method comprises the most comprehensive methods for analyzing enterprise credit, is able to carry out risk analysis for various financial lending institutions, and has a wide application scope.

The invention belongs to the technical field of vehicle-mounted GPS (global position system) navigation and particularly relates to a self-adapting correction method for long sampling interval GPS data mileage calculation. The self-adapting correction method is generally applicable to a remote information management system of a vehicle. The self-adapting correction method comprises the following steps that 1), GPS sampling data is subjected to real-time processing; 2), a GPS dead signal zone is compensated; 3), the mileage calculation is subjected to self-adapting correction; and 4), a calculated mileage is output, wherein the real-time processing comprises the steps that 1-1), a calculation formula of a spherical distance between two points is corrected; 1-2), static shifting data is corrected; and 1-3), dynamic exceptional data is corrected. With the adoption of the self-adapting correction method for processing the GPS sampling data; the data quality is improved; dead zone compensation in a short time is realized; the precision of the mileage calculation is improved on the premise that the cost of a GPS navigation system is not increased; due to the self-adapting correction of the mileage, the precision of the mileage calculation is further improved. A model and an algorithm not only support on-line real-time operation, but also support off-line data processing.

A computer method and apparatus of online automated model identification of multivariable processes is disclosed. The method and apparatus carries out automatically all the four basic steps of industrial process identification: 1) identification test signal design and generation, 2) identification plant test, 3) model identification and 4) model validation. During the automated plant test, process models will be automatically generated at a given time interval, for example, every hour, or on demand; the ongoing test can be automatically adjusted to meet the process constraints and to improve the data quality. Plant test can be in open loop operation, closed-loop operations or partly open loop and partly closed-loop. In a (partial) closed-loop plant test, any type of controller can be used which include proportional-integral-derivative (PID) controllers and any industrial model predictive controller (MPC). The obtained process models can be used as the model in advanced process controllers such as model predictive control (MPC) and linear robust control; they can also be used as inferential models or soft sensors in prediction product qualities. The apparatus can be used in new MPC controller commissioning as well as in MPC controller maintenance.

The present invention is directed to a system, method and software program product for implementing 3-D Complete-Body-Screening medical imaging which combines the benefits of the functional imaging capability of PET with those of the anatomical imaging capability of CT. The present invention enables execution of more complex algorithms measuring more accurately the information obtained from the collision of a photon with a detector. The present invention overcomes input and coincidence bottlenecks inherent in the prior art by implementing a massively parallel, layered architecture with separate processor stacks for handling each channel. The prior art coincidence bottleneck is overcome by limiting coincidence comparisons to those with a time stamp occurring within a predefined time window. The increased efficiency provides the bandwidth necessary for increasing the throughput even more by extending the FOV to over one meter in length and the execution of even more complex algorithms.

The invention provides an electric power operation monitoring data quality assessment system and method. The system includes a data set extraction module, an abnormity discrimination module, and a data quality assessment module that independently execute scripts codes. The method includes that a needed data set is extracted from an electric power operation monitoring data center; for the target data set, the abnormal electric power data is discriminated by means of data quality assessment indexes and constraint rules, the detected data quality problem is processed, an evaluation method is determined, and the calculation result is stored; and the result information of the data quality assessment indexes is acquired and the visualized operation is selected. The system and method prevent the problem in the data quality assessment process in the prior art, greatly improve the whole data quality assessment efficiency, and can visually perform quantification assessment and result feedback, and thus providing a systematic and comprehensive data quality assessment standard, guaranteeing the accuracy, timeliness, effectiveness, and reliability of data, enhancing the improvement of electric power operation monitoring data quality and further improving the running stability of an electric power system.

The invention relates to a traffic trip feature extraction method based on multi-mode public transport data matching. According to the traffic trip feature extraction method based on multi-mode public transport data matching, the concept of a public transport commuting trip chain is introduced, and resident commuting trip feather information such as the commuting trip time, the commuting trip distance and the transfer characteristics is obtained by conducting data pre-processing and matching, public transport trip chain structure extraction, commuting trip behavior judgment, trip origin-destination determination and trip feather information matching according to the multi-source data including ground public transport, rail transport and public bike card swiping data, public transport GPS data, public transport stations, line basic data and the like. According to the traffic trip feature extraction method based on multi-mode public transport data matching, the resident commuting trip condition can be mastered by public transport operating enterprises and government competent departments accurately, the support is provided for optimizing urban public transport lines and making public transport policies, and the traffic trip feature extraction method has great significance in improving commuting trip efficiency of residents.

The invention discloses a method for automatically acquiring multi-source heterogeneous data knowledge, and aims to provide a method which has better integrity, universality and convenience and is beneficial to knowledge transmission. The method of the invention is realized through the following technical scheme: the method comprises the following steps: 1, processing; a concept-entity-attribute-relation-label is defined from top to bottom or from bottom to top, a knowledge model of an entity object is obtained, then data is obtained through direct data storage and crawler software, OCR and other recognition software, knowledge data is obtained, and conversion from a heterogeneous data source to a heterogeneous knowledge source is completed; obtaining entity-attribute-relationship triad instantiation under a known knowledge mode through a structured knowledge generation method; and updating knowledge and knowledge models by using a long-short-term memory network model (LSTM model) anda publisher-accomplisher cooperation mode to obtain a workflow for expanding and supplementing new knowledge, and obtaining a data flow accommodating concept, entity, relationship and attribute valueinstantiation triples by using the knowledge model formed by knowledge modeling.

The invention relates to a quality evaluation method of electricity statistical index data. The method comprises the following steps: obtaining to-be-evaluated electricity statistical index data according to the requirement of an actual evaluation purpose; choosing corresponding data quality evaluation indexes; making data quality evaluation rules corresponding to the data quality evaluation indexes; calculating the weight Wi of a quality evaluation index Ii, and setting an expected value Ei; performing detection and analysis on quality evaluation indexes of the statistical index data, and calculating the percentage Si of data that meets the quality evaluation index Ii; according to the weight Wi, the percentage Si and the set expected value Ei, respectively calculating the comprehensive evaluation value SA, the overall expected value SE and the relative difference SR of the statistical index data, and performing evaluation on the overall quality of the statistical index data according to defined evaluation grades; and processing evaluated unqualified statistical index data. The method provided by the invention can be applied to quality evaluation of electricity statistical index data in the power industry.

A method for restoring video data of a pipe based on computer vision is provided, including: performing gray stretching on pipe image / video collected by a pipe robot; processing noise interference by smoothing filtering; extracting an iron chain from the center of a video image as a template for location; performing target recognition on the center of video data by an SIFT corner detection algorithm; detecting ropes on left and right sides of a target by Hough transform; performing gray covering on the iron chain at the center of the video image and the ropes on two sides; and restoring data by an FMM image restoration algorithm.

A data classification method and apparatus are disclosed for labeling unknown objects. The disclosed data classification system employs a learning algorithm that adapts through experience. The present invention classifies objects in domain datasets using data classification models having a corresponding bias and evaluates the performance of the data classification. The performance values for each domain dataset and corresponding model bias are processed to identify or modify one or more rules of experience. The rules of experience are subsequently used to generate a model for data classification. Each rule of experience specifies one or more characteristics for a domain dataset and a corresponding bias that should be utilized for a data classification model if the rule is satisfied. The present invention dynamically modifies the assumptions (bias) of the learning algorithm to improve the assumptions embodied in the generated models and thereby improve the quality of the data classification and regression systems that employ such models. The disclosed self-adaptive learning process will become increasingly more accurate as the rules of experience are accumulated over time.

The invention relates to a data cleaning and recovering algorithm of a floating car related to a multi-threshold space. The algorithm comprises the processes of: merging data of a road section into a data matrix, wherein the data is collected by the floating car within a plurality of days; further removing abnormal data in the data matrix according to a three-sigma filter rule after taking a day as a unit to primarily screen missing data and abnormal data in the data matrix; then recovering the missing data by respectively combining space similar characteristics of the road section by a weighted average method and an exponential smoothing method according to the type of the missing data; and finally, recovering high-frequency noise disturbance in data of the floating car by a principal component rebuilding method, thereby fully excavating regularity speed information of the floating car under the condition of not increasing the quantity of the floating car and additional handling equipment, and further, effectively improving the data quality of the floating car. The data cleaning and recovering algorithm can be used for cleaning and recovering work of regularity data of the floating car, and can provide reliable data for subsequent transportation planning and traffic identification.

Problem to be solved: Whilst partaking in an electronic questionnaire survey, responses given by any one respondent are almost always emotional in their nature due to the survey format. As a result, in summarising the respondents answers statistically, it is not possible to truly measure how satisfied the respondent is with the subject(s) the survey has been designed to address. This can lead to a misinterpretation of the actual situation, which, for surveys such as customer satisfaction surveys or employee opinion surveys can have negative consequences for a company. Solution: By structuring the system and method of an electronic questionnaire survey in accordance with a strict set of guidelines, it is possible to measure a respondent's views on any subject matter both emotionally and rationally, together with the respondent's level of conviction. By comparing the emotional responses with the rational responses, a truly quantifiable and repeatable measure of respondent satisfaction towards the subject matter can be achieved.

The invention discloses a method, equipment and system for obtaining streaming media data. Statistic analysis on information relative to history streaming media business and recorded by at least one device in a terminal and media content distribution issuing devices is performed; and the code rates appropriate for downloading streaming media files, of different types of terminals accessing in the networks of different types, are summarized, so that the terminal operating streaming media business can directly request and obtain the streaming media file with appropriate code rate, while download from the lowest code rate is not needed, as a result, the problem that the quality of the streaming media data obtained within the first tens of seconds is poor in the existing streaming media obtaining scheme is solved, and quality of all the streaming media data downloaded and played is better.

A method for processing an accelerometer signal associated with the combustion process in an operating internal combustion engine, the method comprising the steps of measuring an accelerometer signal across a window of selected crank angle degrees during a cycle of the engine, the measured accelerometer signal including a combustion acceleration component and a motored acceleration components; and applying a shape function to the measured accelerometer signal to reduce the motored acceleration component.

The invention discloses a data transmitting method, comprising: when detecting the change of data transmission network conditions, selecting an encoding / decoding algorithm whose compression ratio is suitable for the current network conditions, and adopting the selected encoding / decoding algorithm to make the follow-up data transmission. And the invention also discloses a data transmitting device, comprising: network condition monitoring module, encoding / decoding algorithm regulating module, and data transmitting module. And the invention raises the data transmitting rate. When the network conditions turn bad, it selects an encoding / decoding algorithm whose compression ratio is higher than that of the current encoding / decoding algorithm to reduce the network bandwidth occupied by the data transmission, to a certain extent, relieving network pressure, increasing Jitter Buffer depth shrinking rate, and reducing communication delay; when the network conditions turn good, it selects an encoding / decoding algorithm whose compression ratio is higher than that of the current encoding / decoding algorithm to increase transmitted data information and improving the received data quality. And the invention is simple to implement and easy to apply without adding any hardware equipment.

A reactor service manipulator delivery system supported on a remotely operated trolley that travels on top of a track attached to the steam dam of a BWR shroud. The trolley has a mast and pulley system designed to manipulate a TV camera for inspection of various reactor components inboard and outboard of the shroud at the same time that fuel is being moved within the core during a refueling operation so that refueling can be performed in parallel with the inspection.