143 results about "Data assessment" patented technology

A method of providing personalized compliance feedback includes detecting user movement data using at least one data sensor, parsing the detected user movement data into segments indicative of potential activity, wherein each segment comprises event motion data occurring during a corresponding time interval, identifying at least one recognized activity from the parsed user movement data, generating feedback based on the at least one recognized activity, and outputting the generated feedback.

The invention discloses a data quality management method and a data quality management system. The data quality management method comprises the following steps: managing a quality knowledge library; analyzing the data quality characteristics, and presetting a quality problem domain, a quality dimension domain, a quality rule domain and a quality standard domain; collecting quality information: selecting the quality dimension and the quality rules required by a user from the quality knowledge library, and extracting a data set meeting the user requirements from the original data sets; evaluating the data quality: evaluating the data quality according to the collected quality information, and generating and submitting a data quality report to the user or a quality manager according to the quality problem domain and the quality standard domain in the quality knowledge library; and improving the data quality: correcting the data quality problem detected in the evaluation of the data quality for improvement. The data quality management method and the data quality management system are applied to monitoring, evaluating and continuously improving the data quality in the whole hydrology industry based on the whole data processing procedure of the hydrology industry.

A system for receiving and processing data includes a data processing and verification component that accepts data from a client in an electronic format and identifies therefrom data elements that can be directly verified. A risk assessment component receives data elements that have not been identified as directly verifiable and assesses a risk that the data elements are incomplete or incorrect. The risk assessment component generates risk assessment data. A decision support component receives the risk assessment data from the risk assessment component and selects appropriate actions for subsequent processing of the client data according to the assessment of risk contained in the risk assessment data.

A data assessment system for ADS-B monitor technology is provided, which comprises an ADS-B airplane scale statistics module that keeps statistics of airplane scale with ADS-B airborne equipments and judges the number of ADS-B airplane, a monitor precision assessment module that assesses the precision of ADS-B position message data, compares the variance between ADS-B, radar position data and standard position in same time section and works out the conclusion of monitor precision, a reliability assessment module that assesses the reliability of ADS-B monitor data, calculates separately the missing dot rate of radar and ADS-B monitor data in same time section, compares them and reaches the conclusion about the reliability of ADS-B monitor data, a data integrity assessment module that assesses the integrity of ADS-B monitor data, a fake object possibility assessment module that assesses the fake object possibility of ADS-B position message data and works out the conclusion about the fake object possibility of ADS-B monitor data. Therefore, the invention, which is easy to be implemented in engineering, effectively realizes the data assessment for ADS-B monitor data.

The invention discloses a method suitable for power data quality assessment and rule check. The method comprises the steps of establishing a differential data quality comprehensive evaluation index system and a data quality rule check library for a device object of a specific region in a power system and for data describing a basic feature, a running feature and an event process of a power device; and automatically generating a multilevel data check rule set based on the rule check library according to to-be-checked power data, thereby realizing automated data monitoring and check. According to the method, the power data quality comprehensive evaluation index system and the data quality rule check library are established and the multilevel power data rule set is automatically generated, so that the features of differential power data are comprehensively assessed and comprehensively evaluated; and the method is of important significance for realizing data quality management control and forming a technical scheme and a long-term mechanism of data management.

The present invention relates to a multi-dimensional verification method for schedule plan data. The method comprises the following steps: step 1, designing a data quality analysis index; step 2, designing a data verification rule; step 3, performing multi-dimensional data quality verification; and step 4, performing data quality analysis. According to the multi-dimensional verification method for the schedule plan data provided by the present invention, multi-dimensional quantitative analysis is performed in aspects of a data type, a data volume, and a period of schedule plan data and the like, the verification rule in combination with schedule operating laws is formulated, the multi-dimensional verification method for data reliability, integrity, timeliness, conformity and consistency is designed, a data quality assessment system is put forward, and multi-source schedule plan data quality is improved, so as to meet statistical analysis requirements for fine-particle-size multi-source schedule plan data.

The invention discloses a multifunctional wisdom home care service platform. The multifunctional wisdom home care service platform comprises a health module, a life entertainment module and an abnormity monitoring module; the health module comprises a body data assessment sub module, a sport diet management sub module and a work and rest prompt sub module; the life entertainment module comprises a life service sub module and an entertainment service sub module; and the abnormity monitoring module comprises a video monitoring sub module and an emergency help-seeking response sub module. Through remote monitoring and an intelligent judgment, the problem, resulted from the fact that aging population in current society is in the majority, that manpower is not enough to care old people in real time is solved. Freedom, convenience and quality of the endowment of the old people are improved.

A location point determination apparatus comprises a geographic feature harvesting module (202) arranged to access and collect, when in use, geographic feature information associated with a predetermined named area datum. The apparatus also comprises a data assessment module (208) arranged to receive the geographic feature information collected by the geographic feature harvesting module and to evaluate from the geographic feature information collected in respect of at least one attribute of each geographic feature associated with the geographic feature information. The apparatus further comprises a selection module (210) arranged to select a geographic feature from the geographic features evaluated in accordance with a predetermined criterion associated with the evaluation of the geographic feature information.

Quality assessment of probe data collected from GPS systems is performed by a system and method of determining a value of data points provided by different vendors of such data. Incoming raw probe data is initially analyzed for removal of extraneous data points, and is then mapped to roadway links and smoothed out. The resulting output is processed to determine the coverage value of data provided by a given vendor and enable a comparison between different vendors. Such a model of probe data processing also enables an evaluation of a contribution of further vendors of raw probe data to an existing dataset. Additionally, a real-time performance evaluation of continually-ingested probe data includes building historical and data count profiles, and generating output data represented by a number of data points for a specific distance within a geo-box representing a geographical area, to project a value of raw probe data for a next incremental time period.

The present invention discloses a transformer substation energy efficiency assessment method based on an AHP (analytic hierarchy process). The method comprises: acquiring n index values for m to-be-assessed transformer substations; establishing an original index data matrix based on a gray relational analysis method, and carrying out standardized processing to generate a to-be-assessed index data matrix; establishing an index hierarchical structure, determining a relative weight,relative to a top level index, of each energy efficiency assessment index of a bottom layer of the index hierarchical structure to acquire a relative weight matrix; as for the to-be-assessed index data matrix, separately calculating an index value of each energy efficiency assessment index of each to-be-assessed transformer substation after the standardized processing, and a correlation coefficient between reference values of corresponding energy efficiency indexes in a reference line, thereby acquiring a correlation coefficient matrix; and calculating an integrated assessment result matrix of m to-be-assessed transformer substations. According to the method disclosed by the present invention, a reasonable degree of energy efficiency of the transformer substations can be analyzed, a power saving magnitude before and after reconstruction of the transformer substations can also be analyzed and assessed, so that the method has the advantages of high data assessment accuracy, and high-speed and efficient assessment.

A system and method are disclosed for the collection and aggregation of genomic, medical, and other data of interest for individuals and populations that may be of interest for analysis, research, pharmaceutical development, medical treatment, and so forth. Contributors become members of a community upon creation of an account and providing of data or files. The data is received and processed, such as to analyze, structure, perform quality control, and curate the data. Value or shares in one or more community databases are computed and attributed to each contributing member. The data is controlled to avoid identification or personalization. Third parties interested in the database information may contribute value (e.g., pay) for access and use. Value flows back to the members and to a system administrative entity.

The invention provides a method for gene copy number variation analysis. The method comprises the steps that (1) an index document and a reference genome of data are read in; (2) a sam document of a comparison result of the whole genome is divided according to chromosomes; (3) statistics is carried out to a comparison result of comparison sequencing data; (4) an average covering depth of each window on the genome is computed with 1KB as the window, and a result is given in the form of a list; (5) a chromosome covering depth picture is drawn according to the computing result, and a whole-genome covering depth picture is displayed according to the chromosomes, namely a covering depth picture is displayed separately for each chromosomes among the 24 chromosomes and the pictures are listed vertically; and (6) copy number variation is directly recognized from the pictures. The method provided by the invention has the advantages that the copy number variation on a human genome level can be accurately analyzed by high-throughput sequencing data, and the high-resolution pictures can be displayed; and the statistics can be carried out to the data comparison information, so that data assessment becomes convenient.

The invention provides a flow system and method for reliable multiparameter data acquisition and particle sorting. In accordance with the invention, a flow system assesses changes in the pattern of data collected in successive time intervals and actuates one or more corrective actions whenever the changes exceed predetermined limits. The present invention overcomes problems associated with collecting data and sorting and enumerating particles in flow cytometry systems that operate for prolonged periods or that must accommodate samples that vary widely in quality.

The invention discloses a quality assessment method of multi-source position trajectory data based on AHP and mainly relates to the technical field of data quality assessment. The method comprises thesteps of (S1) making a dynamic data quality assessment process with a feedback mechanism, (S2) determining an assessment index system of quality data according to the data quality assessment process,(S3) establishing a corresponding data quality assessment model according to the assessment index system, (S4) determining a single-resource location trajectory data quality assessment index weight according to the data quality assessment model, (S5) determining a multiple-resource location trajectory data quality assessment index weight according to the data quality assessment model, and (S6) applying the data quality assessment model to measure the data quality. The method has the advantages that the method can be adapted to quality assessment requirements of multiple-source and heterogeneous data sources by various applications in the era of big data, proposed assessment indexes are quantifiable analysis indexes, and the development of subsequent quality assessment software is facilitated.

The application provides a data assessment system and method. The system comprises a data acquisition unit used for acquiring to-be-assessed data, a quality determination unit used for determining a quality assessment result of the to-be-assessed data according to an index value of the to-be-assessed data in a preset data quality index, and a value assessment unit used for determining an assessment result of the to-be-assessed data according to the index value of the to-be-assessed data in the preset data value index aiming at the condition that the quality assessment result is in accordance with a preset quality assessment requirement. According to the system and method, during data assessment, the quality of business data can be determined objectively and accurately, human participationis avoided in a determination process of the quality of the business data, the possibility of human leakage of the business data is reduced, and the security of the business data in an assessment process is improved.

The invention discloses an intelligent table tennis training system. The intelligent table tennis training system comprises a table tennis ball fall point position data acquisition module, a table tennis ball motion trajectory data acquisition module, a motion state acquisition module, an action standard assessment module, an action guidance suggestion output module, a comprehensive assessment module and a central processing unit. By acquiring table tennis ball motion trajectories, table tennis bat motion trajectories and motion trajectories of the hands, paces and bodies of athletes, monitoring of table tennis training process is achieved on multiple aspects, the system provides a training data assessment function, provides guidance suggestions for formulation of training schemes, accordingly makes training more targeted and greatly improves the training efficiency. A holographic projection form is adopted in the later explaining process to play historical training data or teaching guidance data, repeated viewing, emulation and understanding of a trainee to all actions are greatly facilitated, the training efficiency is improved, and meanwhile the working amount of training is also decreased.

The invention relates to a method and device for point cloud measurement data quality evaluation optimization. The method comprises the following steps that point cloud measurement data is obtained, wherein the point cloud measurement data comprises external calibration parameters of measurement tools and time deviation parameters; a Gauss hybrid model for probability distribution of source positions of the point cloud measurement data is established, a value function is established according to entropy of the Gauss hybrid model, and the quality of the point cloud measurement data is evaluated with the value function; evaluation scores of the value function are optimized, and optimal time deviation parameters are obtained; the external calibration parameters are optimized according to the optimal time deviation parameters, and optimal external calibration parameters are obtained. The problem that in the prior art, the quality of certain measurement tools, especially point cloud measurement data is not good enough is solved.

The invention discloses a network-based computer hardware monitoring system comprising a man-machine operation module, a data collection module, a central processor, a prediction analysis module, an expert assessment module, a physical model building module, a virtual parameter module, a virtual sensor and a simulation analysis module, wherein a virtual actuator feeds back results to the simulation analysis module by cyclically executing the simulation analysis module, the simulation analysis module automatically extracts the results and sends the results to the virtual sensor, and the virtual sensor receives the results and automatically displays the data. According to the system provided by the invention, real-time monitoring on running condition of hardware equipment is achieved, and a data assessment and analysis function is provided, so that self-inspection of hardware faults is achieved, and meanwhile a future development situation of the hardware can be predicted, simulated and analyzed according to the collected data; the system is provided with a breakdown maintenance query and output function, thus being greatly convenient for users to use.