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427 results about "Evaluation testing" patented technology

Test and Evaluation. Definition: Test & Evaluation (T&E) is the process by which a system or components are compared against requirements and specifications through testing. The results are evaluated to assess progress of design, performance, supportability, etc.

Imaging based symptomatic classification and cardiovascular stroke risk score estimation

Characterization of carotid atherosclerosis and classification of plaque into symptomatic or asymptomatic along with the risk score estimation are key steps necessary for allowing the vascular surgeons to decide if the patient has to definitely undergo risky treatment procedures that are needed to unblock the stenosis. This application describes a statistical (a) Computer Aided Diagnostic (CAD) technique for symptomatic versus asymptomatic plaque automated classification of carotid ultrasound images and (b) presents a cardiovascular stroke risk score computation. We demonstrate this for longitudinal Ultrasound, CT, MR modalities and extendable to 3D carotid Ultrasound. The on-line system consists of Atherosclerotic Wall Region estimation using AtheroEdge™ for longitudinal Ultrasound or Athero-CTView™ for CT or Athero-MRView from MR. This greyscale Wall Region is then fed to a feature extraction processor which computes: (a) Higher Order Spectra; (b) Discrete Wavelet Transform (DWT); (c) Texture and (d) Wall Variability. The output of the Feature Processor is fed to the Classifier which is trained off-line from the Database of similar Atherosclerotic Wall Region images. The off-line Classifier is trained from the significant features from (a) Higher Order Spectra; (b) Discrete Wavelet Transform (DWT); (c) Texture and (d) Wall Variability, selected using t-test. Symptomatic ground truth information about the training patients is drawn from cross modality imaging such as CT or MR or 3D ultrasound in the form of 0 or 1. Support Vector Machine (SVM) supervised classifier of varying kernel functions is used off-line for training. The Atheromatic™ system is also demonstrated for Radial Basis Probabilistic Neural Network (RBPNN), or Nearest Neighbor (KNN) classifier or Decision Trees (DT) Classifier for symptomatic versus asymptomatic plaque automated classification. The obtained training parameters are then used to evaluate the test set. The system also yields the cardiovascular stroke risk score value on the basis of the four set of wall features.
Owner:SURI JASJIT S

System for assessing and improving social responsibility of a business

The invention pertains to a system for assessing the level of social responsibility of a business and for monitoring improvements using the assessed level as a baseline. The system includes a self-assessment testing method which establishes a score or “grade” indicative of the level of social responsibility of the business which can be used for comparative purposes internally or externally. In terms of a business entity, the invention provides for a self-assessment process to objectively determine the level of social responsibility of the company in a manner subject to outside verification. The process isolates components of social responsibility. The results permit precise decision making implementing change and reevaluation. The process results in a score or grade that is subject to verification or auditing by an outside agency in order that it will be a meaningful assessment outside of the confines of the company and in a broader community. It may be used for comparison to industry standards, universal standards, past performance, or the like. In broader terms, the invention provides a vehicle for a sponsoring agency or a collaboration of entities (“sponsor”) to provide the business community with a means of verifiable self-assessment of the level of social responsibility of businesses. This permits the sponsor to adopt standards for the purpose of comparison of one business to another, to an industry group, to other industries, or to past performance.
Owner:HALLORAN HARRY R JR +6

Evaluation testing method for damage of drilling fluid to compact gas reservoir

InactiveCN106093299ASlicing ImprovementsEfficient and accurate damage evaluation indicatorsEarth material testingAnalysis using nuclear magnetic resonanceNMR - Nuclear magnetic resonanceEvaluation testing
A disclosed evaluation testing method for damage of a drilling fluid to a compact gas reservoir comprises the following steps: drying a core sample, marking, performing uniform segmenting and slicing, and measuring the weight and other parameters of the dry core sample; putting the core segments into a fluid for infiltration and saturation; performing reverse centrifugation operation on the core segments, and acquiring the original water saturation Swi of the small core segment samples; measuring the nuclear magnetic resonance T2 spectrums of simulated stratum water and a filtrate of the drilling fluid and determining the difference; performing NMR imaging measurement on the fluid distribution state in the core; and putting the core segments into a core clamper of a drilling-fluid circulating instrument for measurement after the drilling fluid is circulated and calculating the water saturation Swi and the gas permeability K2 of the core segments, calculating the permeability damaging rate after infiltration of the drilling fluid by using the measurement results through comparison, so as to evaluate the damage degree caused by infiltration of the drilling fluid at different depths. The novel evaluation testing method for damage of a drilling fluid to compact and super compact gas reservoirs is established by improving an original slice method.
Owner:SOUTHWEST PETROLEUM UNIV

Material characterization with model based sensors

InactiveUS20070069720A1Improve crack detection reliabilityImprove reliabilityMaterial magnetic variablesSensor arrayElectric field sensor
Nondestructive material condition monitoring and assessment is accomplished by placing, mounting, or scanning magnetic and electric field sensors and sensor arrays over material surfaces. The material condition can be inferred directly from material property estimates, such as the magnetic permeability, dielectric permittivity, electrical property, or thickness, or from a correlation with these properties. Hidden cracks in multiple layer structures in the presence of fasteners are detected by combining multiple frequency magnetic field measurements and comparing the result to characteristic signature responses. The threshold value for indicating a crack is adjusted based on a high frequency measurement that accounts for fastener type. The condition of engine disk slot is determined without removal of the disk from the engine by placing near the disk a fixture that contains a sensor for scanning through the slot and means for recording position within the slot. Inflatable support structures can be placed behind the sensor to improve and a guide can be used to align sensor with the slot and for rotating the disk. The condition of an interface between a conducting substrate and a coating is assessed by placing a magnetic field sensor on the opposite side of the substrate from the coating and monitoring at least one model parameter for the material system, with the model parameter correlated to the interfacial condition. The model parameter is typically a magnetic permeability that reflects the residual stress at the interface. Sensors embedded between material layers are protected from damage by placing shims on the faying surface. After determining the areas to be monitored and the areas likely to cause sensor damage, a shim thickness is determined and is then placed in at least one area not being monitored by a sensor. The condition of a test fluid is assessed through a dielectric sensor containing a contaminant-sensitive material layer. The properties of the layer are monitored with the dielectric sensor and correlated to contaminant level.
Owner:JENTEK SENSORS

Multi-functional multi-specimen sealing gasket service life evaluation testing apparatus

The invention relates to a multi-functional multi-specimen sealing gasket service life evaluation testing apparatus which comprises a gasket loading and load measuring system (56) and a medium given system (51). The apparatus is characterized in that the air given end of the medium given system (51) is connected with the air inlet end of a medium sealing system (53), the medium sealing system (53) is positioned inside of a temperature controlling and measuring system (54), a cooling thermal insulation system (57) is placed above the medium sealing system (53), and a leakage rate measuring system (55) is positioned on one side of the temperature controlling and measuring system (54); the medium sealing system (53), the temperature controlling and measuring system (54) and the cooling thermal insulation system (57) are connected respectively through stress bolts (14) of the gasket loading and load measuring system (56); and a data acquisition and control system (52) is respectively and electrically connected with the medium given system (51), the medium sealing system (53), the temperature controlling and measuring system (54), the leakage rate measuring system (55) and the cooling thermal insulation system (57).
Owner:NANJING TECH UNIV

Grid equipment state inspection and evaluation training system

The invention discloses a grid equipment state inspection and evaluation training system. The grid equipment state inspection and evaluation training system comprises an equipment failure simulation module, a data information acquisition module, a state evaluation module and a risk evaluation module. According to the grid equipment state inspection and evaluation training system, grid data are generated through operation of the equipment failure simulation module and then transmitted to a background analysis module through a data acquisition system for failure diagnosis and risk elevation. According to the grid equipment state inspection and evaluation training system, the actual condition of a grid is simulated through equipment, that is to say, the big grid is moved into a laboratory; a novel and open advanced application comprehensive training system is established, an electric transmission and transformation equipment state information advanced application system and a dynamic simulation system are combined together organically, the correctness of an electric transmission and transformation equipment failure simulation system is verified through advanced application software, the correctness and reliability of the advanced application software also can be verified on the contrary, the combination realizes reuse of the grid equipment state inspection and evaluation training system, and therefore resources are saved greatly.
Owner:STATE GRID CORP OF CHINA +1
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