46 results about "Statistical quality" patented technology

A process and methods of digital enhancement of motion pictures and other moving image sequences for the purpose of being exhibited in an alternative display format including a large format cinema are disclosed. The invention efficiently enhances image resolution and quality through a temporal filtering process and achieves high performance using automated or interactive statistical quality evaluation methods. A system specially designed for efficient temporal computing with a parallel and distributed computing configuration equipped with a variety of optimization schemes is also disclosed. The performance of the process and the system is optimized through an intelligent controller and is scalable to support any throughput requirements demanded for concurrent motion picture releases in the original format as well as in any alternative format.

A pattern recognizing method and apparatus are arranged to detect one or more objects with its own individuality belonging to the same category, such as a vehicle or a human's face, by using incremental signs in a manner to correspond with an apparent change caused by the posture variation of the object. For achieving the pattern detection corresponding with the apparent change caused by the posture variation of the object, the statistic quality of the incremental signs is extracted from a database having image data of the objects. The learning of a feature vector composed by using the quality makes it possible to design the most approximate identifier for detecting a pattern.

A method and apparatus for analyzing the results of determinations of the concentrations of medically significant components of control solutions comprise providing a programmable machine, executing on the machine a program which tests the results against a set of statistical quality control rules, and producing indications to an operator of the results of the tests. Illustratively, (a) laboratory analytical instrument(s) run(s) the control solutions interspersed among patient samples, the concentrations of medically significant components of which are determined by the laboratory instrument(s). The quality of the laboratory instrument's(s') process(es) for determining the concentrations of the medically significant components of the patient samples are monitored by testing the outcomes of the concentration determinations of the control solutions against the set of QC rules. The QC testing process is conducted as the concentrations of the medically significant components of the control solutions are determined, so that delays between the determination of the concentrations of the medically significant components of the patient samples and the determination of the state of control of the process(es) by which those concentrations are determined are minimized.

The present invention provides a method and system for determining the quality of an application program, wherein the method includes: the mobile terminal counts the average value of the quality index of the application program, and regularly reports it to a cloud server; The average value of the quality index of the application program, the convergence value of the average value of the quality index is displayed as the measured value of the quality index of the application program. The measurement value of the quality index of the application program obtained by the present invention is based on the convergence value of the average value reported by a large number of mobile terminals, which reflects the general quality state of the application program, can accurately reflect the quality of the application program, and provides users with a better It is used as a reference to avoid the poor impact on the performance or resource occupation of the mobile terminal caused by the application program downloaded by the user with poor quality.

The invention discloses an on-line monitoring method for cutter abrasion damage based on main shaft driving current and working step. The method is made by the following steps that realizing communication with a numerical control system to obtain machining working step information, meanwhile, the driving current and the load of the main shaft are monitored, and on the basis of a normal cutter andabrasion damage cutter cutting torque difference analysis and statistical quality control principle. Control graph for drawing average current / load required by each working step processing, a control graph control line is reasonably formulated, the abrasion state of each working step is judged, and a tool changing or cutter edge grinding rule is formulated. According to the variation of instantaneous main shaft current or instantaneous load with the deviation from the instantaneous current / load in normal machining in each working step of machining, the cutter breakage is determined, the alarm signal is sent to inform the numerical control system to emergency shutdown so as to avoid the serious consequences of damaging the workpiece and the machine tool. According to the method, on onehand, the part rejection rate and the machine tool fault rate can be reduced, on the other hand, the service life of the cutter can be prolonged to the maximum extent, and the use cost of a plant cutter is reduced.

A method and a parallel-computing system of mapping sequencing reads is provided. The method preprocesses a reference genome to construct a compression structure of the reference genome, an index array and a block address array; the index array stores the index values of all sorted subsequences on the reference genome; the block address array stores the positions of a portion of the elements in the index array; the parameters involved in the mapping method are selected based on the statistical characteristics of the reference genome, the statistical quality information of sequencing reads and the polymorphism rates of the target species from which the sequencing reads are generated. Based on the structures constructed in the preprocessing stage, each sequencing read is mapped to the reference genome by anchoring on the genome by a certain single perfect match prefix seed, alignment extension based on the auto-match function method, and statistical assessment.

A method for statistical quality assurance in an examination of steel products within a steel class is provided. Initially measurement samples are taken to determine at least one mechanical property. In addition to the measurement results, computed results of a computer-aided model for calculating the mechanical property of the respective steel product are used. Taking into account the statistical deviation between the measured results and the computed results, a statement is made as to whether the steel products have a specified probability of achieving a target value for the mechanical property.

The invention provides a blast furnace molten iron quality monitoring method based on KPLS robustness reconstruction error. The method comprises the steps of collecting blast furnace operating parameters and molten iron quality variables at the same moment; selecting a training set and standardizing the same; mapping input data in the training set into a high-dimensional feature space to obtain a Gram matrix K and performing centralization processing; acquiring new blast furnace operating parameter and molten iron quality variable samples including abnormal working conditions as a testing set and performing standardization processing; mapping an input data matrix in the testing set in to the high-dimensional feature space to obtain a Gram matrix and performing centralization processing; building a partial least square model to describe the high-dimensional feature space and an output data matrix; checking whether a blast furnace iron making process is abnormal by using a T2 statistical quality and a Q statistical quality; calculating a reconstruction value of original process variable data and identifying process variables causing abnormal working conditions of the blast furnace. The method can accurately identify faults in blast furnace molten iron quality monitoring and improve molten iron quality monitoring performance, thus guaranteeing blast furnace molten iron quality.

The invention relates to a method for node rigidity prediction based on vibration measurement. The method is characterized by comprising the steps of first establishing a node model (a finite element model or a test model), utilizing the model to enable a first principal component score extreme value obtained through generalized likelihood ratio principal component analysis to serve as a control index, and establishing a relation curve of the proportion of the control index exceeding the upper limit and the lower limit and node rigidity under different damage working conditions in a statistical quality control chart; in actual engineering, measuring vibration response of a node, and calculating the proportion of the control index exceeding the upper limit and the lower limit in the statistical quality control chart according to the response; and finally substituting the proportion of the control index exceeding the upper limit and the lower limit into the relation curve to predict the node rigidity. According to the method, the node rigidity can be rapidly and effectively predicted without needing other data, only acceleration response of a structure needs collecting, and the method can be used for structural ageing and after-calamity rapid prediction.

A method and computer system for monitoring and controlling the quality of tests performed upon a database. A statistical quality layer is provided, which for each new test to be executed on the database, provides recommendations as to a confidence level to be applied to the test and to a number of additional data records to be added to the database in order to maintain the total expected number of type-I errors of tests performed upon the database. The method and computer system further provide access control of users to the database.

A method of performing measurement sampling in a production process includes passing a lot through a manufacturing process, employing a set of combinational logistics to determine if sampling is indicated and, if sampling is indicated, establishing a sampling decision. The method further requires querying a set of lot sampling rules to evaluate the sampling decision, evaluating a statistical quality of the process if no lot sampling rules exist, and automatically determining whether the lot passing through the production process requires sampling based on the combinational logistics, statistical quality and lot sampling rules.

The invention provides a statistical quality control system based on LIMS (Laboratory Information Management System). The system comprises a data source configuration module, used for specifying an SQC (Statistical Quality Control) data source to be queried; a data set configuration module, used for building a data set body including preset parameters based on the SQC data source; a filter configuration module, used for generating query conditions based on the preset parameters and configuring query condition control types and dependencies to generate a filter; a data input sieving module, used for configuring sieving conditions to sieve the input SQC data source; and a query form configuration module, used for configuring SQC statistical information query forms based on the sieving conditions and the selected filter. The system of the invention is capable of realizing index statistics required in SQC.

Laboratory testing plays a significant and growing role in the delivery of medical services. Fresh analysis of past test results has led to discovery of previously unknown correlations between statistical properties of analyte values and parameters such as age, sex, and region. Observed values in patient populations have also newly been discovered to show both secular and regular periodic variations over time. Embodiments of the invention may use information about these correlations to improve quality control and other statistical analysis of patient samples by applying adjusted reference ranges to quality control methodologies, and providing a quality control grade for patient samples based on the adjusted reference ranges.