152 results about "Test matrix" patented technology

A test case generator including a test model generator for generating test models. A test case instance generator uses a permutation engine to generate test matrices from the tests models and generates XML documents from the test matrices. The documents are applied to an XML-based application interface to test the interface.

A method for computer-generating interaction-specific knowledge base for rapidly improving or optimizing a performance of an object comprises performing, according to computer-designed test matrices, at least several automatic experimental cycles on selected control variables. In at least one of the automatic experimental cycles after the first the computer plans a new test matrix designed to minimize or remove at least one expected two-variable interaction from a main effect of a designated control variable. A machine operating according to the method is also available.

The invention relates to an intelligent multi-core cable harness detection device. The device consists of a programmable power supply, an intelligent multi-channel switch, a current-limiting resistor network, a multi-core converter, a current sampling module, an analog multiplexer, a single-chip, a computer and detection software. The device can automatically analyze short-circuit performance, open-circuit performance and conduction performance of a multi-core cable harness. A harness system state is determined through a harness performance testing matrix graphical detection result and by comparing the result with a pre-stored standard, and different fault types are indicated by colors; and meanwhile, a fault alarm can be sent by an alarm device with sound and changing light. The device has the characteristics of simple and convenient operation, high testing efficiency, high system extensibility and the like, and can be directly used for development of harness-related products, quality control and performance detection.

A method for computer-generating interaction-specific knowledge base for rapidly improving or optimizing a performance of an object comprises performing, according to computer-designed test matrices, at least several automatic experimental cycles on selected control variables. In at least one of the automatic experimental cycles after the first the computer plans a new test matrix designed to minimize or remove at least one expected two-variable interaction from a main effect of a designated control variable. A machine operating according to the method is also available.

The invention belongs to the technical field of automatic radar HRRP (high resolution range profile) object identification and particularly relates to compressive sensing based range profile object identification. Range profile object identification includes the steps: constructing a matching dictionary according to a radar echo model, selecting an appropriate test matrix for compressive sensing of a training sample range profile and to-be-identified test sample range profile which are known in type information so as to achieve data dimension reduction; then, subjecting data subjected to compressive sensing to sparse reconstruction so as to obtain sparse coefficients of the training sample range profile and the test sample range profile under the matching dictionary; utilizing the sparse coefficient of the training sample range profile as a pattern vector, and identifying the test sample range profile according to a nearest neighbor method. By the aid of compressive sensing based range profile object identification, since sparse coefficient characteristics of objects under the dictionary are extracted, redundancy is avoided, calculating amount is decreased and unnecessary noise is avoided.

A regular quasi-cyclic matrix is prepared, a conditional expression for assuring a predetermined minimum loop in a parity check matrix is derived, and a mask matrix for converting a specific cyclic permutation matrix into a zero-matrix based on the conditional expression and a predetermined weight distribution is generated. The specific cyclic permutation matrix is converted into the zero-matrix to generate an irregular masking quasi-cyclic matrix. An irregular parity check matrix in which the masking quasi-cyclic matrix and a matrix in which the cyclic permutation matrices are arranged in a staircase manner are arranged in a predetermined location.

Urine analysis system that couples or integrates with a toilet. Wirelessly links to a computer, such as a user's mobile device to accept control inputs and report urine test results. Accepts user input to initiate testing and deploys a urine collector into the toilet bowl above the water to collect a urine sample. The collected urine sample is dispensed onto multiple regions of a test matrix that may perform many urine tests simultaneously. A single test matrix may include multiple types of tests, such as immunochromatography and colorimetric assays. An optical imaging system detects reaction of the urine with reagents integrated into the test matrix. Analysis of images may be performed locally or on a remote server. The system may store an inventory of test matrices to support daily testing for long durations, for example 6 months or more before refilling.

A method of determining concentrations of a plurality of analytes from a single blood sample placed in a single opening. A portion of the single blood sample is absorbed by a test matrix that includes a plurality of layers and a chromogenic agent. A colored response is generated by the test matrix. The colored response is proportional to the concentration of a first analyte. A portion of the single blood sample is drawn into a capillary tube and placed in contact with an electrode and a counter-electrode. An electrical property of the single blood sample is analyzed through the electrode and counter-electrode. The electrical property is proportional to the concentration of a second analyte in the single blood sample.

Methods and apparatus to measure flow of a drilling fluid composition include a test housing including a test matrix located between an inlet and an outlet, a test valve connected between the inlet of the test housing and a fluid reservoir, and a pressure assembly configured to apply pressure to drilling fluid contained in the fluid reservoir. The apparatus and methods further include a sample valve connected to the outlet of the test housing and a measurement device configured to measure a filtrate fluid flowing through the outlet. A method to measure flow of a drilling fluid includes measuring an amount of filtrate fluid flowing through the test matrix as a function of time.

A multilayer test strip that measures concentrations of multiple analytes from a single whole blood sample. The test strip includes a test matrix of several layers held together in constant contact by a test strip holder. The invention is characterized in that it has no moving parts, which is made possible by the novel use of an elongate disbursement layer that spreads blood throughout its entire length, despite having layers with known wicking properties adjacent to and in contact with it. Since the invention relies primarily on a vertical flow format, the test strip is advantageously quite compact. With a single 35 microliter sample of blood applied thereto, the novel test strip can provide readings of total cholesterol, HDL cholesterol and triglycerides. From these, LDL can be calculated, thereby providing a full “lipid panel.” Other analytes such as glucose and ketones may be included in the test strip in addition to or in lieu of one or more of the other analytes.

The invention discloses a method and a system for intrusion detection based on non-negative matrix factorization under sparse representation. The method includes: acquiring network data and host data, and obtaining a level-one audit privilege program of original network data; preprocessing the network data and the host data, and generating network characteristic data and short-sequence vectors; performing non-negative matrix iterative factorization for a data test matrix, and performing sparse representation for a basis matrix and a weight matrix; sampling weight matrix data subjected to sparse representation by the aid of a projection matrix so that highly characteristic weight coefficient vectors are obtained; and matching the highly characteristic weight coefficient vectors with characteristic vectors in training data by the aid of characteristic vector library data, and judging whether abnormal characteristics are conformed to or not. The method and the system for intrusion detection achieve data dimension reduction by non-negative matrix factorization and uses multi-divergence as a measurement level, an RIP (routing information protocol) condition in sparse representation is added into a combined divergence objective function family to restrain a non-negative matrix factorization iterative process, data detection dimensionality is lowered, and high-dimensional mass data processing of the system for intrusion detection is facilitated.

The invention provides a method for testing mobile application in batch and equipment used in the method. The method for testing the mobile application in batch has the beneficial effects that much equipment can be tested at the same time, and development and maintenance cost is greatly saved; besides, parallel test on mobile application is emphasized, namely mobile equipment is tested in a multi-platform, multi-resolution and multi-language environment, and saving of testing time is more emphasized; and compared with the condition that analysis is carried out by virtue of a test matrix, a tester can adopt the method provided by the invention for greatly improving testing efficiency, the method provided by the invention can help the tester to realize high coverage rate, and on the basis of high testing coverage rate, the tester does not need to consider a risk, caused by adopting the matrix analysis, of choice of test content; meanwhile, the method provided by the invention also can be adopted by a mobile phone manufacturer, and the sampling rate of mobile equipment during sample testing before the mobile equipment leave a factory can be improved.

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 process for generating a set of tests for a system includes identifying a plurality of factors to use in a design of experiments (DOE) test, using each of the plurality of factors in the DOE, identifying, through the DOE testing, one or more factors which have a significant effect an output of the system, including only the one or more factors in a Combinatorial design methodology (CDM) and generating a first test matrix based upon the CDM using the DOE inputs. The unique part of the process is then adding interactions of order greater than 2-way, as identified by the DOE, to the CDM matrix thus creating an optimized set of test cases. By using the sensitivity output of the DOE as an input to the final test matrix from the CDM, an affordable yet comprehensive test approach is provided.

The invention belongs to the technical field of emergency processing of environmental engineering, and particularly relates to a pipe explosion pre-warning method based on metering zone flow monitoring data. The method comprises the steps of collecting flow data for forming a historical data matrix and performing a pipe explosion simulation experiment to obtain pipe explosion data for forming a test matrix; presetting an initialization parameter k1 and an abnormal value detection parameter k2, performing clustering analysis on the historical data matrix, removing abnormal vectors, generating an initialization matrix, forming a detection matrix by the initialization matrix and test vectors, performing clustering analysis on the detection matrix, removing abnormal test vectors, performing difference operation for the vectors and mean vectors of the detection matrix, and if each difference value is greater than zero or less than zero, not giving a pipe explosion pre-warning, otherwise, giving the pipe explosion pre-warning; and computing a missing alarm rate and a false alarm rate, adjusting the preset initialization parameter and the preset abnormal value detection parameter until optimal missing alarm rate and false alarm rate are obtained, and applying the optimal missing alarm rate and false alarm rate to real-time pipe explosion pre-warning. The pre-warning can be accurately given during pipe explosion or leakage, the hardware cost is low, and the pre-warning effect is ideal.

The present invention provides devices for detecting the presence of an analyte in a liquid sample. The parts of the device include a sample collector for collecting and applying a liquid sample, a test matrix with reagents for detecting the analyte, a sample application port for receiving the liquid sample, the port being in fluid communication with the test matrix, a storage port for storing the sample collector in contact with the device, a window though which at least a portion of the matrix is visible, and a standards card having one or more color standards for comparison with the test matrix. In one embodiment the analyte detected is alcohol is saliva (ethanol). In use the sample collector is placed in contact with the sample (e.g., in the mouth of the subject) and filled with sample, and the sample is expressed from the collector at the sample application port to begin the assay. The standards cards on the device are used for comparison to identify the concentration of analyte in the sample. Methods of use and kits are also provided.

The invention discloses an intrusion detection method based on improved OBS-NMF algorithm, mainly aiming at solving the existing problems in the current technology such as low capability of processing high dimensional data, weak robustness, small selection range of threshold value and undesired detection results. The realization thereof steps are as follows: (1) collecting a call of a progress system; (2) constructing and simplifying the training matrix; (3) carrying out lowering dimension decomposition on the training matrix; (4) judging whether the convergence conditions are satisfied, if so, then performing step (5), if not, returning to step (3) to carry out iteration continuously until the maximum iterations are reached; (5) constructing a test matrix U; (6) utilizing a basis matrix W to solve the characteristic coefficient vector hu of U; (7) solving the abnormality of the process vector in U; and (8) setting the threshold value lambda and outputting the detection results. The invention has the advantages of simple realization, favorable stability, high detection precision, large selection range of the threshold value and strong instantaneity, and can be applied to real-time intrusion detection based on host system call.

An apparatus and a method for performing shortening and puncturing in case of performing encoding and decoding using a parity test matrix in a communication / broadcasting system are provided. The method includes determining a number of zero-padding bits, determining a number Npad of bit groups in which all bits are padded with zeros, padding the all bits within 0th to (Npad−1)th bit groups with zeros based on a shortening pattern, encoding information bits including the zero-padded bits to generate a codeword. Here, the shortening pattern is defined in a sequence of bit groups defined as 9, 8, 15, 10, 0, 12, 5, 27, 6, 7, 19, 22, 1, 16, 26, 20, 21, 18, 11, 3, 17, 24, 2, 23, 25, 14, 28, 4, 13, 29.

The invention discloses a device and a system for testing a packer in a formation tester, and aims to test a newly-developed packer in a formation tester. In the test device, a first end of a simulation borehole sleeve is connected with a sleeve end cap, and a second end of the simulation borehole sleeve is sleeved inside a first end of an axial limiting sleeve and contacts the axial limiting sleeve; a protection ring is sleeved outside a contact part of the simulation borehole sleeve and the axial limiting sleeve; a test matrix is positioned in the simulation borehole sleeve and the axial limiting sleeve, and can be in circumferential seal with a sliding end cap of the packer; a first end of the test matrix can be in circumferential seal and fixedly connected with a fixed end cap of the packer, and a second end of the test matrix is connected with a second fixed head; and an expansion pressurizing pipe penetrates through an end face of the axial limiting sleeve and an end face of the second fixed head, and is communicated with a pipeline in the test matrix. The device and the system are used for performing simulation test on the charging pressure resistance and the setting sealability of the packer.

The invention discloses a multi-objective optimization design method based on vehicle body section parameterization. The multi-objective optimization design method comprises vehicle body section parameterization modeling and vehicle body section multi-objective optimization. The method comprises: according to cross-section input of a vehicle body, establishing a lap joint of a main section of a vehicle body parameterized model, establishing an external characteristic model of the parameterized vehicle body according to modeling CAS data, establishing a detailed parameterized vehicle body modelby means of a previous generation of vehicle body finite element model or competitive vehicle body data, and recording variables of the main section of the vehicle body to complete vehicle body parameterized modeling; parameterization model, finite element mesh division of the DOE test matrix is completed. solving the test matrix finite element model one by one to obtain the mass, modal, torsional rigidity and bending rigidity of the vehicle body, establishing a response surface approximation model, and carrying out optimal solution on the size of the main section of the vehicle body on the premise of ensuring that the weight is not increased according to the approximation model to obtain the optimal rigidity performance of the vehicle body.

A system and method of synthesizing layout patterns to test an optical proximity correction algorithm. The method comprises the steps of: embodying Walsh patterns in a set of Walsh pattern matrices; processing groups of matrices from the set of Walsh pattern matrices to form a set of test matrices; mapping the set of test matrices to a test pattern set.

The invention refers to a method which generates an IC tester control consisting of numerous test instructions for a plurality of specific test environments, which can generate and measure analog and digital signals for an IC, in particular a mixed-signal IC. The method obtains data and control instructions from multidimensional test matrices independent of the test environment, such as matrix-like databases or libraries. The data and control instructions independent of the test environment are converted by means of a code generator into a syntax which is dependent on the test environment and which can be integrated into a general syntax dependent on the test environment, so that the syntax dependent on the test environment and the general syntax dependent on the test environment together form a complete control, comprising analog and digital signals, for one of the specific test environments.

The present invention discloses a power generation process control system fault detection method, which comprises the steps of: carrying out matrix factorization on a training matrix X after noise reduction and standardization processing by adopting a principal component analysis PCA method, and adopting a score matrix T as an initial value W0 of a base matrix W; carrying out iteration solution on the base matrix W and a weight coefficient matrix H of the training matrix X by adopting an alternating least square method with nonnegative constrains; constructing a monitoring statistics Tn <2> and SPEn based on nonnegative matrix factorization, calculating probability density functions PDF of the monitoring statistics Tn <2> and SPEn separately by utilizing a kernel density estimation method, setting a significance level and solving control limits of the monitoring statistics Tn <2> and SPEn separately; and calculating to obtain an approximate value W-hat test of a base matrix of a test matrix Xtest by utilizing the weight coefficient matrix H and the test matrix Xtest after data processing, calculating monitoring statistics Tn <2> and SPEn of the test matrix Xtest separately, and indicating that a fault occurs if the monitoring statistics exceed the control limits when compared with the corresponding control limits. The power generation process control system fault detection method can be used for carrying out condition monitoring on massive operation data in the power generation process, further achieve the fault diagnosis of a power generation process control system.

A method of synthesizing layout patterns to test an optical proximity correction algorithm. The method comprises the steps of: embodying Walsh patterns in a set of Walsh pattern matrices; processing groups of matrices from the set of Walsh pattern matrices to form a set of test matrices; mapping the set of test matrices to a test pattern set.

The invention discloses an unsupervised relationship prediction method based on a depth map network auto-encoder. The method comprises the following steps: collecting an entity pair data set X with mpairs of target relationships and n entities; preprocessing the entity pair data, and dividing the entity pair data into K combinations of a test set and a training set; converting the test set into atest matrix Atest, and converting the training set into a training matrix Atrain; normalizing the training set matrix Atest to define an encoder and a decoder for an adjacent matrix, and building a prediction model; traversing k test sets and training sets by the prediction model for training and relationship reconstruction to obtain k trained prediction models; and traversing the k trained prediction models to obtain prediction of the target relationship. According to the method, target relationship prediction is completed by adopting a graph convolutional neural network, and a transductionproblem of a node embedding vector is changed into a conclusion problem during edge prediction of a graph.

Methods and apparatus to measure flow of a drilling fluid composition include a test housing including a test matrix located between an inlet and an outlet, a test valve connected between the inlet of the test housing and a fluid reservoir, and a pressure assembly configured to apply pressure to drilling fluid contained in the fluid reservoir. The apparatus and methods further include a sample valve connected to the outlet of the test housing and a measurement device configured to measure a filtrate fluid flowing through the outlet. A method to measure flow of a drilling fluid includes measuring an amount of filtrate fluid flowing through the test matrix as a function of time.

The invention provides a picture retrieval method and system and relates to the technical field of picture retrieval. In the embodiment, a picture data set is first built; feature data of each picture is extracted and processed to achieve a feature data matrix; then a category matrix and a category-attribute matrix are built according to category information where the picture belongs to; the feature data matrix is divided into a training matrix and a test matrix and further a Hash transferring function is gained; the training matrix and the test matrix are encoded via the Hash transferring function; a preset number of pictures is extracted from the training encoding matrix and the test encoding matrix to form a retrieval base; at last, a picture is selected from the test encoding matrix; a Hamming distance between a Hash code of the picture and a Hash code of a picture in the retrieval base is calculated; and retrieval results are orderly output according to the Hamming distance. The embodiment can effectively improve picture retrieval efficiency and reduce picture retrieval cost.

The invention discloses a block sparse structure low-rank representation based single-sample human face identification method. The method comprises the following steps: dividing a human face into a plurality of blocks, diving each block into a plurality of overlapped sub-blocks and supposing that the sub-blocks in the same block is in the same sub-space; based on a low-rank representation model, performing low-rank representation on a test matrix formed by the center sub-blocks of the corresponding blocks of all the test image by a local dictionary formed by all the sub-blocks in corresponding blocks of all training samples to realize effective division of the sub-spaces corresponding to each person, adding block sparse constraint to enhance the identification property of the model, and solving the model by a non-strict augmented lagrangian multiplication to obtain a low-rank representation coefficient matrix; on this basis, classifying the test image blocks by judging the value of the representation coefficient; finally, performing voting on all the test image blocks to finally determine the classification result. The block sparse structure low-rank representation based single-sample human face identification method has high robustness on expression, illumination variation, shielding and the like, has high identification accuracy and supports efficient parallel computation.

Provided is a method and apparatus for lattice reduction with reduced computational complexity. The apparatus and method include calculating an R matrix using sorted QR decomposition, and conducting an R-value test using an R-value based on diagonal elements of the R matrix and a threshold value. The R matrix is an upper triangular matrix. The apparatus and method further execute a loop comprising a size reduction and a conditional update of a basis vector corresponding to a column element of the R matrix in response to the R-value being greater than or equal to the threshold value. The apparatus and method conduct another R-value test based on the R matrix comprising the updated basis vector in response to the basis vector being updated.