63 results about "Parametric analysis" patented technology

A system and method of processing an image including black text data and non-black text data are described. The system and method use a parametric analysis for discrimination of halftones, texts, and photographs. The parametric analysis provides results that track measurable image metrics without the inherent risk of errant decision making during classification. The creation of symbolic representations is intrinsically a classification process that is subject to error. It represents a fundamental departure from fuzzy logic image segmentation. In the parametric analysis, no pattern matching, no auto-correlation, no screening parameter calculation, and no conventional edge detector (such as a high pass filter) are used.

A method, system and computer-readable medium of filtering noise pixels and other extraneous data, including saturated fat tissue and air data in image data is provided. Examples of image data may include but are not limited to magnetic resonance imaging data and computed tomography data. The method includes receiving pixel count for each signal intensity value of the image data; determining a signal intensity value, I_peak, corresponding to a pixel count of a greatest number of pixels, N_peak; setting a noise threshold at a signal intensity value, I_noise, corresponding to a pixel count, N_I, such that N_I, is determined based on N_peak; and filtering from the image data one or more pixels with signal intensity values below the noise threshold. N_I, may be determined such that N_I=N_peak/3 or close to N_peak/3.

A method is disclosed that includes receiving a request to transmit a first multimedia file. The first multimedia file is associated with a first file descriptor. The method includes automatically generating a first generated content descriptor by analyzing the first multimedia file using a first set of analysis parameters. The method also includes comparing the first generated content descriptor to the first file descriptor and determining a first score based on a deviation of the first generated content descriptor from the first file descriptor.

According to various embodiments of the invention, systems and methods are provided for parametrically analyzing architectural structures. Such embodiments may be utilized by architects and engineers as tools that assist in designing architectural structures that achieve specific design goals, such as those related to sustainability. For example, an embodiment may comprise a system that: (i) provides a sustainability on an architectural structure design created using a computer-assisted design (CAD) tool, and then (ii) applies a design option with a parametric value to that design to determine one or more improvements that provide a desired sustainability. Various embodiments may be accessed through a web-based platform, which provides a user with easier access and better collaboration between and among design team members.

A method for designing gas turbine engine components using a coupled parametric analysis of part geometry and flow control is disclosed. Included are the steps of parametrically defining the geometry of the duct wall shape, parametrically defining one or more flow control actuators in the duct wall, measuring a plurality of performance parameters or metrics (e.g., flow characteristics) of the duct and comparing the results of the measurement with desired or target parameters, and selecting the optimal duct geometry and flow control for at least a portion of the duct, the selection process including evaluating the plurality of performance metrics in a pareto analysis. The use of this method in the design of inter-turbine transition ducts, serpentine ducts, inlets, diffusers, and similar components provides a design which reduces pressure losses and flow profile distortions.

The present invention provides a predictive tool for predicting Apopnea Hypopnea Index (AHI) in the diagnosis of Obstructive sleep apnea (OSA). The predictive tool is developed by recording pulse oximetry readings, obtaining delta index, oxygen saturation times and oxygen desaturation events from the oximetry readings. A multivariate non-parametric analysis and bootstrap aggregation is performed to obtain predictive models which can be used to predictive AHI in an individual and to classify an individual as having or not having OSA.

The invention relates to a converter remote monitoring system used for wind power generation, comprising a plurality of wind power generating sets. Each wind power generating set comprises a converter and a converter remote monitoring console which is provided with built-in converter monitoring software; and a converter monitoring network is formed by networking the converters, wherein the converter remote monitoring console and the converter monitoring network are in communication link. The system communicates with the converter remote monitoring console at the far end by the independent converter monitoring network, and the maintenance personnel directly monitor and maintain the converters and correlative systems so as to sufficiently utilize the data resources acquired and recorded by the converter; the selection of converter monitoring parameters is not restricted by the communication mode, the capacity and the communication protocol of a main controller, but depends on the communication mode, the capacity and the communication protocol of the converter monitoring network, thereby greatly improving the maintenance efficiency and quality of the wind power generating sets, shortening fault treatment time, realizing parametric analysis and fault prevention in daily operation, and obviously saving the maintenance cost.

A defect detecting parametric analysis method comprises the steps of, searching the data base to obtain the defect detecting parameter value for a plurality of products, dividing the products into at least one acceptable product group and one disqualified product group, searching the process stations relating to the defect detecting items from the data base, searching for machine benches where the acceptable product set passes during the process, searching for machine benches where the disqualified product set passes during the process, determining the machine bench in which the passing probability of the disqualified product set is higher than that of the acceptable product set.

Delay-fault testing and parametric analysis systems and methods utilizing one or more variable delay time-base generators. In embodiments of the delay-fault testing systems, short-delay logic paths are provided with additional scan-chain memory elements and logic that, in conjunction with the one or more variable-delay time-base generators, provides the effect of over-clocking without the need to over-clock. Related methods provide such effective over-clocking. In embodiments of parametric analysis systems, test point sampling elements and analysis circuitry are clocked as a function of the output of the one or more variable-delay time-base generators to provide various parametric analysis functionality. Related methods address this functionality.

The invention discloses a parametric analysis method of effect of an injection molding process to plastic part buckling deformation and aims to solve the technical problem that the prior parametric analysis method of plastic part buckling deformation is low in efficiency. The technical scheme is that the parametric analysis method of effect of the injection molding process to plastic part buckling deformation comprises of first, conducting secondary development to a commercialize mold flow analysis software MoldFlow to achieve parametric calculation and background execution of injection molding numerical modeling; then embedding MoldFlow secondary development procedures into an open-type multidisciplinary parametric analysis and optimization design platform BOSS Quattro, and automatically modifying process parameters according to a BOSS Quattro parametric analysis module and invoking the MoldFlow secondary development procedures to calculate plastic part buckling deformation; and last, acquiring plastic part buckling deformation under conditions of different process parameter values after automatically modifying and calculating the plastic part buckling deformation for several times. Analysis results of the parametric analysis method of effect of the injection molding process to plastic part buckling deformation provides variation tendencies of buckling deformation within each parameter value range, and provides the basis for arrangement of process parameters in the practical production. The whole analysis process is automatically finished, human input is reduced and analysis efficiency is improved.

The invention discloses a dynamic property optimization design method for foundation major parts of a machine tool. The method includes the steps that a machine tool assembly is simplified according to the dynamics simulation analysis requirement, and the simplified assembly is imported into ANSYS/Workbench for mesh generation, material setting and boundary condition setting to complete modal analysis of the machine tool assembly; in harmonic response analysis, the maximum amplitude response values of the end of a spindle box of the machine tool assembly under the action of simple harmonic force in the X direction, the Y direction and the Z direction are obtained by simulating the actual working state of a tool; finally, experiment design of quality characteristic parameters of the foundation major parts is carried out with the parametric analysis technology, and a response surface model between the dynamic property response values of the machine tool and the quality characteristics of the foundation major parts is obtained through fitting. By analyzing the response surface model, the weak link of the foundation major parts in the dynamic property of the machine tool can be qualitatively found out, the tendency of influences of changes of the foundation major parts on the dynamic property of the machine tool can be quantitatively predicted, and the precision of machine tool design can be improved.

A system and method for analyzing integrated operational technology and information technology systems with sufficient granularity to predict their behavior with a high degree of accuracy. The system and method involve creating high-fidelity models of the operational technology and information technology systems using one or more cyber-physical graphs, performing parametric analyses of the models to identify key components, scaling the parametric analyses of the models to analyze the key components at a greater level of granularity, and iteratively improving the models testing them against in-situ data from the real-world systems represented by the high-fidelity models.

The invention discloses a system for analyzing material surface property parameters. The system can determine surface electric potential of materials accurately. A determining system comprises a sample processing device and a detection system, wherein the sample processing device comprises a sample accommodation device which is used for accommodating the determined materials and liquid, is also provided with a liquid inlet pipe and a liquid outlet pipe which are communicated with the sample accommodation device, wherein the liquid outlet pipe is connected with a constant flow pump, and the sample accommodation device is also provided with a stirring device; the detection system comprises an ionic activity detecting device, an ionic activity operating module and a surface parameter operating module, and the surface parameter operating module is used for receiving the ionic activity operated by the ionic activity operating module so as to work out the surface potential of the determined materials; and in a further technical proposal, total surface charge quantity, surface charge density, surface electric field intensity and specific surface area of the determined materials can be analyzed sequentially so as to realize the combined analysis of the material surface property parameter.

The invention discloses a computer-aided design method for a cantilever-type heading machine cutting head and a CAD (computer-aided design) system of the cantilever-type heading machine. Based on Visual C++ 2012, ANSYS14.5 is subjected to secondary development by the computer-aided design method which comprises following modules: a parameter input module, a parametric modeling module, a parametric analysis module, a parametric result displaying module, a performance evaluation module and an optimization and adjustment module; the computer-aided design method includes that a designer enters cutting head design parameters, cutting head condition parameters and coal and rock characteristic parameters, a system can automatically complete modeling and finite element analysis processes, and feedback analysis result files for the designer to perform optimization and adjustment of design parameters. Design of the cantilever-type cutting head under different coal and rock geological conditions and cutting conditions can be realized; performance of the cutting head can be predicted by simulating a cutting process by the aid of the finite element analysis, so that structure optimization of the cutting head can be realized according to analysis results, and level of cutting head design is greatly improved.

A parametric analysis method after package comprises the steps of, searching the data base to obtain the test parameter value after package for each batch of the products, comparing these parameter values, choosing representative parameter value and items, determining whether the test items relates to the packing station, if the result is relevant, dividing the products into at least a first acceptable product group and a first disqualified product group, searching for machine benches where the first acceptable product group passes during the process, searching for machine benches where the first disqualified product group passes during the process, determining the machine bench in which the passing probability of the first disqualified product set is higher than that of the first accepted product set.

The invention relates to a geometric size probability statistics characteristic analysis method used in turbine disc probability reliability analysis. The geometric size probability statistics characteristic analysis method comprises the steps that a geometric model of a turbine disc is simplified, wherein a periodic sector is taken, and finite element calculation is performed according to periodic symmetric boundary conditions, and model simplification is performed in the calculation process; 2, parametric modeling of the model is performed, wherein geometrical fully-constrained parametric analysis is conducted on the simplified model to form a full-parametric model; 3, geometric dimensions are grouped, wherein parameters are divided into N groups during sensitivity calculation, and eachgroup includes about 10 parameters; 4, sensitivity analysis is performed, wherein an experiment design (DOE) method is adopted to conduct hypercube sampling on random geometric parameters, sensitivityanalysis is performed, and factors having the maximum counter stress influence are screened out; 5, dimension statistics and hypothesis testing are performed, wherein real turbine disc data is counted according to the screened key geometric dimensions, a single sample K-S checking method is utilized to check the distribution type of the key dimensions, and geometric size probability statistics distribution is obtained.

A method for reviewing a treatment plan (24) for delivering radiation therapy to a patient. The treatment plan(24)includes geometric analysis data, dose distribution analysis data, dose volume histogram data, parametric analysis data or deliverability analysis data of a patient. First, for the treatment plan (24), a plurality of clinical and delivery goals are identified (20, 22).Next, goal data points are extracted (26)from the treatment plan (24). Then, data points are correlated (28) to identify deficiencies in the treatment plan (24). A report is generated (30) to display on a display (10) the correlated data points using visual markings (84) to highlight identified deficiencies. Text and audio notations can be attached to the report to explain the correlations and warn a user of plan deficiencies.