143 results about "Normalized test" patented technology

The present invention has multiple aspects. In its simplest aspect, the present invention is directed to an intermediate bone block comprising a machined segment of cortical bone, cancellous bone or both, the intermediate having a face comprising one to ten compression surfaces and one to ten cavities, the compression surfaces suitable for compressing soft tissue, the cavities for receiving and holding overflow soft tissue. The cavities are preferably channels, and more preferably channels having an omega cross-sectional profile. Surprisingly, the cavities and channels, which reduced the compressed surface area between the intermediate bone block and the tendon, significantly improved tendon load at failure. In standardized tests, an intermediate bone block of this invention, when combined with high surface area bone blocks of the prior art bone blocks, unexpectedly increased their load at failure. The invention is also directed to bone block assemblies suitable for binding to a soft tissue to form an implantable graft, and to such implantable grafts. A particularly preferred graft is a bone-tendon-bone graft.

The invention provides a test case description oriented GUI (Graphical User Interface) automatic test system and a test method thereof, belonging to the field of software test. The test system comprises a test management subsystem and a test executive subsystem, wherein the test management subsystem is used for providing test case oriented normalized description language elements to generate a test case in a test step; and the test executive subsystem is used for transmitting a corresponding test script to a corresponding test node in an automatic conversion test step and is used for executing the test script to generate a test result. In the test method, a normalized test step is generated, the test script is automatically generated aiming at the step, a test execution coordination message is increased in the test script, and automatic testing is realized aiming at a distributed test system. Through the system and the method, the conventional heavy test script editing task of GUI automatic testing is simplified, time and labor are saved, and the problem of coordination confronted by performing the GUI automatic testing aiming at the distributed system is solved.

A system for generating profiled test execution data using a plurality of test suite output files is provided. The system includes a plurality of test suites and a report tool engine. The plurality of test suites is executed creating a plurality of respective test suite output files. The report tool engine is configured to automatically transform each of the plurality of test suite output files to a standardized test execution results file. Each standardized test execution results file has an identical file format. The report tool engine is further configured to profile each of the standardized test execution results file in accordance with a user profile setting, generating a profiled data file.

A system and method for determining the quality of service in wireless data network by a plurality of mobile devices is provided. In one embodiment, the method includes presenting to a user a plurality of reference content items, for each content item, receiving a reference content item rating indicative of a quality rating provided by the user, wirelessly transmitting a test content item to the mobile device, presenting the transmitted test content item to the user; receiving a test content item rating provided by the user, wherein at least some of the plurality of reference content items comprise content items of known and differing quality, normalizing the test content item rating based on the reference content rating received to provide a normalized test content item rating; and outputting a quality of service performance metric based on the normalized test content item rating.

A service control system controls access to secured online testing services, such as accredited or standardized tests, examinations in educational courses, tutoring services, and continuing professional development courses or seminars. The secured services may be published by an educational publishing platform and made available to users through online configured browser applications executing on the users' devices. Based on access conditions associated with a secured testing service and the capturing and processing of one or more images, the service control system determines how users are authorized to access the services. When users have been authorized to access a service or a subset of the service, the service may be distributed through the browser applications executing on the users' devices.

A cost-effective system architecture and apparatus for programmable automatic power supply testing. The system utilizes board level interface between various system testing modules and an Automatic Test Controller (ATC). The ATC receives coded test requests from the software on an industrial PC and control the various testing modules inside ATC to execute the tests. Test results were sent back to the PC and saved in a result file. A single industrial PC can control two or more ATC's and test two or more power supply units simultaneously. The ATC based test system is lower cost than the conventional Automatic Test Equipment which uses device level interface and standardized test devices.

A Portal Assessment Design System includes a system for designing assessment models and assessments (e.g., standardized tests). In assessment design, specifications are organized around three basic elements: 1) what knowledge, skill or abilities are important to measure; 2) what is necessary evidence of that knowledge, skill or ability; 3) what performance situations are needed to elicit the required evidence from students and other assessment users. The system includes three modules (i.e., Domain Analysis, Domain Modeling, Conceptual Assessment Framework), each of which targets a specific phase of the design process, for designing an assessment in accordance with the three basic elements. The sequence of modules represents the structure of a design process that helps assessment developers work through successive stages or phases of assessment design, from the gathering of raw information to the creation of a complete set of specifications for an assessment product. Each module has its own set of objects for organizing information, such as knowledge skills and abilities of interest of the students being tested, evidence of these, and situations structured to elicit this evidence. The modules and objects of the system are implemented as a software application executing in a client-server environment.

A system for testing software may include a driver, dispatcher and one or more executors. One or group of test cases may be provided to the testing system. Each test case includes one or more actions and may be in the form of an XML document. Each action may be dependent on or independent of previous or following actions. In preparation for executing the test case one or more times, system initialization is performed. One or more iterations of the test case may be executed and housekeeping tasks may be performed in preparation for executing the next test case. Executing an iteration of a test case includes initialization in preparation for executing the iteration, performing the actions that test the software and validating the results (including comparing the actual result with an expected result and making entries to a log) and performing local cleanup (i.e., cleanup relevant to the iteration).

The invention relates to a non-linear industrial process fault detection method based on Bayes kernel slow feature analysis. After normalization processing of training data and test data, kernel functions of different types are adopted based on a conventional kernel feature analysis method, and the various kernel functions are configured with different kernel functions, and therefore a series of basic KSFA models are established. Non-linear slow features are more fully extracted from the normalized training data and the normalized test data by using the basic KSFA models, and the basic KSFA models are respectively used to monitor the process. The non-linear industrial process fault detection method is provided with Bayesian inference, and the test data monitoring results of the series of basic KSFA models are weighted in a combined manner by adopting a probability way, and finally the integrated monitoring result of a plurality of models is acquired, and therefore a fault detection result is improved, and a fault detection rate is improved.

A system and method for assessing and monitoring student academic achievement levels for purposes of identifying students at risk for not meeting minimum academic standards as measured using standardized tests, and for tracking or monitoring student academic performance levels. The system and method of the present invention comprises producing a pool of curriculum-independent General Outcome Measures (GOMs) of substantially equal difficulty for a particular grade level, and further comprises a system and method of assessing and monitoring students in that grade level using the pool of GOMs for the purpose of identifying those students at risk for not meeting minimum standardized test target scores and for tracking or monitoring student academic performance levels. The system comprises a database accessible remotely by authorized users through a network and user interface in which authorized users can remotely input student academic performance information and selectively retrieve that information for display through the user interface.

A method, apparatus, and computer useable medium that provides, among other things, a standardized test protocol for screening and evaluation of attentional impairment using EEG data. Further, the method, apparatus, and computer program product enhances existing psychological, behavioral, and physiological EEG data acquisition systems by introducing a sequential stochastic model procedure, and an intelligent data interpretation component capable of assessing EEG inconsistencies associated attentional impairments. Potential users of this product will be any person or organization that diagnoses or treats persons with attentional or cognitive impairments. The method can be used for initial screening and diagnosis of disorders associated with impaired attention, such as ADHD, as well as for treatment and evaluation of the effects of treatments, such as medication or additional therapies.

A method, apparatus, and computer useable medium that provides, among other things, a standardized test protocol for screening and evaluation of attentional impairment using EEG data. Further, the method, apparatus, and computer program product enhances existing psychological, behavioral, and physiological EEG data acquisition systems by introducing a sequential stochastic model procedure, and an intelligent data interpretation component capable of assessing EEG inconsistencies associated attentional impairments. Potential users of this product will be any person or organization that diagnoses or treats persons with attentional or cognitive impairments. The method can be used for initial screening and diagnosis of disorders associated with impaired attention, such as ADHD, as well as for treatment and evaluation of the effects of treatments, such as medication or additional therapies.

Today, students are underperforming on the standardized testing. In an effort to better performance on these tests, software systems allow a student to practice different topics. These software systems, however, do not perform a longitudinal analysis of a student allowing the creation of an adaptable learning environment for the system. In contrast, the present invention provides a system that enables a student to answer one or more questions of a problem set. Next, the system stores information for each answer of the one or more questions over a period of time, analyzes the information for each student answer in a longitudinal manner, and identifies one or more deficiencies in learning of the student based on the longitudinal analysis. In this way, the system uses longitudinal analysis to identify student deficiencies, which allows a teacher or parent, using the analysis, to increase the quality of learning for the student.

The invention relates to a method for realizing operating state analysis and fault diagnosis of a photovoltaic array based on a density-based clustering algorithm. The method comprises the following steps: firstly collecting a plurality of electrical parameters of a maximum power point of a photovoltaic power generation array during daily work so as to obtain an electrical parameter sample combination per day; normalizing the electrical parameter samples so as to obtain a test sample combination; calculating the normalized test sample combination so as to obtain a distance matrix; automatically clustering the test samples by adopting the density-based clustering algorithm so as to obtain a plurality of clusters; respectively calculating the minimum distance between each group of reference data and each cluster based on reference data obtained by a simulation model in advance so as to form a distance vector; and finally, comparing each element in the distance vector with a cutoff distance in the clustering algorithm, and identifying a work type to which each cluster belongs. According to the method disclosed by the invention, accurate fault diagnosis can be directly realized by clustering the daily operation data of the photovoltaic system.

The present invention has multiple aspects. In its simplest aspect, the present invention is directed to an intermediate bone block comprising a machined segment of cortical bone, cancellous bone or both, the intermediate having a face comprising one to ten compression surfaces and one to ten cavities, the compression surfaces suitable for compressing soft tissue, the cavities for receiving and holding overflow soft tissue. The cavities are preferably channels, and more preferably channels having an omega cross-sectional profile. Surprisingly, the cavities and channels, which reduced the compressed surface area between the intermediate bone block and the tendon, significantly improved tendon load at failure. In standardized tests, an intermediate bone block of this invention, when combined with high surface area bone blocks of the prior art bone blocks, unexpectedly increased their load at failure. The invention is also directed to bone block assemblies suitable for binding to a soft tissue to form an implantable graft, and to such implantable grafts. A particularly preferred graft is a bone-tendon-bone graft.

The invention discloses an SAR?target variant recognition?method based on multi-information joint dynamic sparse representation. The method comprises steps: (1) a target training?dictionary with respect to?image?domain target amplitude?information represented by the formula, a shadow?training dictionary with respect to?image?domain target shadow?information represented by the formula and a?frequency domain training dictionary with respect to?frequency domain target amplitude?information represented by the formula are built with an original SAR image of a training sample as the basis, and a multi-information training dictionary D is jointed; (2) a normalized test?target vector shown in the description, a normalized test?shadow vector shown in the description and a normalized frequency domain test?target vector shown in the description are built with an SAR image of a test sample as the basis, and a multi-information test matrix Y shown in the description is obtained after jointing; (3) according to the multi-information training dictionary D and the multi-information test matrix Y, a joint sparse formula is built and a joint sparse coefficient matrix X is solved; and (4) the test sample is restructured by using the obtained joint sparse coefficient matrix X and the final classification result is obtained according to the reconstruction error?minimization principle.

A method and system is provided to directly compare school districts and individual schools across state lines, and the geographic areas served by those schools (counties, municipalities, zip codes, neighborhoods) based on their reported standardized test scores despite the fact that each state has prepared their own version of standardized tests to benchmark the performance of their students. While standardized tests, such as the No Child Left Behind (NCLB) test, can provide a meaningful comparison between any students and schools that were administered the same test, since the tests are different state-to-state a comparison on this basis is generally inaccurate and unreliable. To normalize the local standardized test results based on the differences in tests in different localities, an additional factor is employed as a modifier of the NCLB test results resulting in a normalized comparison.

The invention discloses a method for obtaining the optimal solid density for coated paper printing. The method comprises the steps that 1, a CTP process control system is built, and the CTP device calibration work is finished; 2, a printer process control system is built, and the printer device calibration work is finished; 3, a printing test standard version is designed, a printing test is conducted through a standardized test method, and standard test specimen page is obtained; 4, data measurement is conducted on the density and chromaticity parameters of the specimen page; 5, according to the measured result, the optimal solid density for coated paper printing is calculated and obtained. According to the method for obtaining the optimal solid density for coated paper printing, on the basis of calibrating a CTP and a printer, the printing test is standardized, the eligible test specimen page is selected, the density and chromaticity values of a specimen paper designated color piece are measured, and a corresponding relation table for the chromaticity and density is built, so that the optimal density of the printed matter is rapidly determined, the defect that the optimal solid density is obtained through relative contrast is overcome, and accurate reappearance of color reproduction is achieved.

The present invention has multiple aspects. In its simplest aspect, the present invention is directed to an intermediate bone block comprising a machined segment of cortical bone, cancellous bone or both, the intermediate having a face comprising one to ten compression surfaces and one to ten cavities, the compression surfaces suitable for compressing soft tissue, the cavities for receiving and holding overflow soft tissue. The cavities are preferably channels, and more preferably channels having an omega cross-sectional profile. Surprisingly, the cavities and channels, which reduced the compressed surface area between the intermediate bone block and the tendon, significantly improved tendon load at failure. In standardized tests, an intermediate bone block of this invention, when combined with high surface area bone blocks of the prior art bone blocks, unexpectedly increased their load at failure. The invention is also directed to bone block assemblies suitable for binding to a soft tissue to form an implantable graft, and to such implantable grafts. A particularly preferred graft is a bone-tendon-bone graft.

The invention discloses an SAR (synthetic aperture radar) target identification method based on nuclear sparse representation, mainly solving the problem of low error tolerance in the prior art. The method comprises the following realization steps: (1) respectively mapping a training sample matrix and a test sample to a nuclear space, randomly reducing the dimension of the mapped sample to the required dimension, and normalizing the dimension; (2) solving a reconstructed coefficient vector between the normalized test sample and the training sample matrix; and (3) solving the energy of the reconstructed coefficient of the test sample in each class, and substituting the energy into a class judging formula to obtain a final identification result. Compared with the prior art, the SAR target identification method is characterized by improving the error tolerance of the algorithm, so that the SAR target identification method has higher identification precision and high arithmetic speed in the SAR target identification application; and meanwhile, an application range is popularized to a low-dimensional sample, thus having better universality.

The invention provides a database compatibility test method and system. The database compatibility test method includes IDS (Informix dynamic server) installation unloading test and functional test, performance test, robustness test and stability test of database compatibility. Therefore, stability of a database in use is guaranteed through comprehensive in-depth evaluation of the database and by finding a set of feasible, standardized and normalized test schemes for data compatibility.

The invention discloses a multi-point leakage locating method of a water supply network based on a convolution neural network, comprising the following steps: pressure data of the water supply networkis collected, the collected water supply data is divided into a training sample and a test sample; the smaples are normalized, the normalized samples are input into the convolution neural network model for training, and the convolution neural network model is obtained. The normalized test samples are used to test the convolution neural network model, and the trained convolution neural network model is saved. The real-time data are normalized and input into the trained convolution neural network model, and the prediction results are obtained through the trained convolution neural network model. The prediction results are compared with the tag index to judge the leakage. The invention also discloses a multi-point leakage locating device of a water supply network based on a convolution neural network. The invention reduces noise points in data through convolution and pooling operations, extracts special features in each type of data, and makes prediction more accurate.

A hardware and software implemented, standardize testing, scoring and reporting system has a network interface, being either LAN or the Internet. A test is selected from a library, assigned to a group of examinees, and a record is made of the assignment. The test is available on-line, or downloaded, or both. Downloaded tests are saved as PDF files and printed into booklets. Examinees record answers on bubble sheets, which are scanned at the customer site or shipped to a processing plant. Individual scanned answer sheets provided data for individual scanned records. Scanning software performs an initial auto-correct and then performs an initial check for errors in scanned records. Tests are batched for later inspection. Scanned records with errors are classified as invalid and the test papers are separated. Prompts are generated for a human test paper inspection and scanned record editing. Accepted batches of scanned records are sent to a scanned records server where a second scanned records error check is performed. Prompts are sent to the appropriate scanning station for further human editing of invalid scanned records. Once all records are valid they are scored and the test results stored in a database, which is accessed by a reporting subsystem associated with an on-line server.

Methods and apparatus for assessing and promoting learning according to various aspects of the present technology generally comprise presenting a training system to a user that adapts to the user's progress by altering how a training assignment is presented to the user by monitoring the user's progression toward a desired completion criterion. The training system may determine a user's proficiency with the subject matter without a formal or standardized test.

The present invention provides a method of doing cognitive diagnosis of mental skills, medical and psychiatric diagnosis of diseases and disorders, and in general the diagnosing of latent properties of a set of objects, usually people, for which multiple pieces of binary (dichotomous) information about the objects are available, for example testing examinees using right / wrong scored test questions. Settings where the present invention can be applied but are not limited to include classrooms at all levels, web-based instruction, corporate in-house training, large scale standardized tests, and medical and psychiatric settings. Uses include but are not limited to individual learner feedback, learner remediation, group level educational assessment, and medical and psychiatric treatment.

Precise timing control within a standardized chassis such as PXI is obtained by providing several control signals over PXI_LOCAL. A Least Common Multiple (LCM) signal enables all clocks to have coincident clock edges occurring at every LCM edge. A start sequence allows all PXI expansion cards in the test system to start at the same time. A MATCH line enables pincard modules to check for expected DUT outputs and either continue execution of their local test programs or loop back and repeat a section of the local test program in accordance with the result of the DUT output check. An End Of Test (EOT) line enables any one pincard module to abruptly end the local test programs running in all other pincard modules if an error is detected by the local test program in the pincard module.

A method for facilitating academic improvement, comprising the steps of providing a database of students who have qualified for an academic improvement plan in at least one predefined content area, diagnostic testing of the students relating to their respective content area and recording in the database the diagnostic results of the testing in the database, developing and recording in the database at least one intervention strategy based in part upon the results of the diagnostic testing of the respective students or based in part on a standardized testing, monitoring and recording in the database each of the student's respective progress and documenting in the database the successful completion of the academic improvement for each respective student.