427 results about "Evaluation testing" patented technology

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.

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.

The invention provides arrays of molecules where the molecules (e.g., glycans) are attached to the arrays by cleavable linkers. The invention also provides methods for using these arrays, methods for identifying the structural elements of molecules bound to these arrays by using the cleavable linkers, especially the structural elements that are important for binding to test samples. The invention further provides methods for evaluating whether test samples and test molecules can bind to distinct glycans on the arrays and useful glycans identified using the methods and arrays provided herein.

An evaluation device and method for DUT boards and probe cards which increase the reproducibility of the measured values and decrease the abrasion of pads in evaluation tests. A connection box is provided with contact pins, mounting mechanisms used to mount the DUT boards, and a plurality of connectors which feed signals from the contact pins to the outside.

A method of non-destructive evaluation (NDE) testing a component of an assembly is provided. The method includes positioning a transducer on a face of the component, transmitting ultrasonic waves into the component at a plurality of steering angles, receiving ultrasonic echoes, wherein each received echo is indicative of an acoustic impedance interface within the component, and analyzing the ultrasonic echoes.

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.

Method, apparatus and product for analyzing a quality control regimen comprising one or more quality control tests, to determine if the tests are in statistical control, and therefore could be removed from the regimen or sampled at a different rate. On sample data relating to each of the tests, there is determined Cpi, a measure of the spread of the data, which is simply the ratio of the magnitude of the actual range of the data, to the magnitude of calculated statistical range of the data. There is also determined CPKi, which is a measure of how close the spread of the data is to the upper or lower limit of the data. For convenience, the magnitude of Cpi is represented as a vertical bar graph, with the value of CPKi shown as a position of the bar graph within normalized limits. Using Cpi and CPKi decisions regarding removal of each the test can be made. One or more tests are then selected for removal or to have a different sampling rate, and "What If" scenarios then performed to see how the testing regimen would have performed without the test(s) or at the different sampling rate.

A system for knowledge assessment and encouraging learning comprises transmitting to the a terminal a plurality of multiple choice questions and two-dimensional answers thereto, the answers including a plurality of full-confidence answers consisting of single-choice answers, a plurality of partial-confidence answers consisting of sets of multiple single-choice answers, and an unsure answer. The system further administers a confidence-based assessment (CBA) test that presents to the test subject the plurality of multiple choice questions directed to categorical topics, and the two-dimensional answers thereto, by which the test subject indicates both their substantive answer and the level of confidence category of their answer. The system compiles a knowledge profile from the scored CBA test, and encourages learning so that the user can address knowledge deficiencies as identified through the CBA test.

The invention discloses a vehicle gear-shifting quality evaluation testing method, which comprises the steps of: 1) at a vehicle gear-shifting quality evaluation testing preparation stage: establishing a vehicle database by adopting an SQL (structured query language) server; establishing a vehicle gear-shifting quality evaluation module by adopting MATLAB/Simulink and determining the core algorithm of the vehicle gear-shifting quality evaluation module; and selecting the type of a vehicle to be tested and a testing system to be used; 2) at a vehicle gear-shifting quality testing stage: conducting gear-shifting rule testing, Tip in testing, Tip out testing, Fast Off testing, brake control logic testing, operability testing, start testing, acceleration testing and driving during a traffic jam; and 3) at a vehicle gear-shifting quality evaluation stage: calling data of the vehicle database as data input of the vehicle gear-shifting quality evaluation model and obtaining an evaluation result through data processing and the like; and outputting the evaluation result a graphical user and result display interface. The invention additionally provides a vehicle gear-shifting quality evaluation testing system.

A method and system for sending massive e-mail messages that include test messages sent to selected small portions of the global targeted audience. A message containing the text or content part of the message can be stored and retrieved for inclusion in each test message so that the content does not need to be repeatedly retyped. The audience members are selected randomly for each test so that the tests provide statistically valid results. The test results are conveniently grouped for ease of evaluation of the test feedback.

A system for determining network characteristics includes a processor including a packet generation component and a packet evaluation component. The packet generation component generates send test packets for communication into the network. The packet evaluation component is responsive to receive test packets for determining network speed and utilization; upon detecting that the network streaming utilization is not significantly high, evaluates the test packet sequences for a first discard pattern representing actual discard red rate; and upon detecting that the network streaming utilization is significantly high, evaluates the test packet sequences for a second discard pattern representing effective discard yellow rate and effective non-discard green rate.

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.