190 results about "Comparative test" patented technology

A semiconductor integrated circuit includes: a plurality of circuits to be tested, each having the same structure; test paths each provided for one of the circuits to be tested; and a comparator receiving, via the test paths, test outputs sent from the circuits to be tested, comparing the test outputs, and determining whether the test outputs match with each other or not.

This invention relates to a management method, more particularly by logging and replay, for software operations performed during the execution of an application process executed on a computer. This method applies in particular to internal operations sending a result datum to the managed process, and comprises the following steps: carrying out a deterministic software processing, termed prediction function (FH), based on the state of a managed process or of the application (AOP, ASB), to provide a predicted result (RP) for said operation; comparative test to establish whether the value of the predicted result (RP) corresponds or does not correspond to the value of the actual result (DR, RRJ); performance of a complementary management phase (CH, DH) of said managed operation, this complementary management depending on the result of the preceding test.

The present invention is directed to circuitry for detecting and protecting against over-clocking attacks on hardware modules. The circuitry preferably comprises a test signal, a delay path for providing a delayed signal of the test signal, and circuitry for comparing the logical state of the test signal and the delayed signal and issuing an attack indication whenever the signals are different.

The invention discloses a composite intensified heat dissipation coating containing graphene or graphene oxide and a preparation method of the coating. The performances of the coating are combined with the performances of infrared ray radiation of tourmaline and transition metal oxide, larger specific surface areas and high thermal conductivity coefficients of the graphene and the graphene oxide, excellent adhesive property of resin, high strength and excellent high-temperature resistance. The functional powder and the graphene or the graphene oxide are dispersed in the resin under the synergistic effect of various auxiliaries so as to prepare the composite intensified heat dissipation coating. In the preparation method, the graphene or the graphene oxide wraps the surface of the infrared emission powder by a reflux method; based on the higher thermal conductivity coefficient of the graphene or the graphene oxide, the thermal resistance of infrared particles can be lowered effectively and the infrared emissivity of the infrared particles is improved; in comparative test with the normal heat dissipation coating, the infrared emissivity of the coating provided by the invention can be 0.96 and is improved by 6.6%, 6.37% of energy is saved, and better energy-saving effect is realized.

The invention discloses a cable fault detection and aging analysis method. According to the insulation resistance oscillation theory of the frequency domain, the cable fault detection and aging analysis method is characterized in that a fault location model is established by analyzing the oscillation characteristics of frequency domain impedance on the basis of oscillation wave spectrum analysis of the frequency domain impedance acquired by a non-destructive test system or a destructive test system, and then test oscillation impedance spectrum defect is compared with an internal simulation curve, so that long-distance accurate fault location can be realized, and the fault types can be also effectively distinguished. Compared with the prior art, the method not only is capable of realizing accurate multipoint positioning of faults, but also is capable of carrying out fault type recognition and insulation aging state analysis; in the whole detection and analysis processes, artificial experience is hardly depended; the method is suitable for a cable with the length of 1m-1,000km, and is especially suitable for a cable with the length of more than hundreds of kilometers.

A method and apparatus for inspecting specimens or patterned transmissive substrates, such as photomasks, for unwanted particles and features, particularly those associated with contacts, including irregularly shaped contacts. A specimen is illuminated by a laser through an optical system comprised of a laser scanning system, individual transmitted and/or reflected light collection optics and detectors collect and generate signals representative of the light transmitted by the substrate. The defect identification of the substrate is performed using those transmitted light signals. Defect identification is performed using an inspection algorithm by comparing image feature representations of a test specimen with a reference specimen, and using a boundary computer and flux comparison device to establish tight boundaries around contacts and compute flux differences between the test and reference specimen contacts. Defect sizes are reported as ratio of flux difference, and entire contacts are highlighted for review.

The present invention provides an apparatus and a method for testing one or more electrical components. The apparatus and method execute similar portions of a test segment on a known device, i.e., a device for which it has been determined that the test segment executes successfully, and on a device-under-test (DUT), i.e., a device for which it has been determined that the test segment does not execute successfully. The results of the tests are compared to determine if the test passed or failed. The test segment is executed iteratively on the known device and the DUT, increasing or decreasing the amount of the test segment that is executed each pass until the failing instruction is identified.

Systems and methods for using comparisons of empirical system data, (e.g., performance, accounting, software module or function frequency), for testcase and workload profiling are provided. Instead of asking a customer what he does, simply asking for some set of empirical data that can be formatted, reduced, and analyzed. By gathering the same kind of data for the test systems that is used by the customer, testcases and workload profiling are improved by making comparisons between the customer data and the test data in an iterative process. The iterative processes change test data and compare not only customer data with test data but also compare data from prior iterations with current data. There is a feedback loop for providing a comparison of how close or distant the testcases and workload profiling are from customer-like data and workloads in a particular test.

The utility model relates to an in-situ automatic measurement method of CO2 of a root system. Gas sampling tubes are buried layer by layer at desired depths in the soil, a surface soil respiration chamber is mounted on the surface of the soil at the upper part, a solenoid pilot valve and a suction pump are controlled by a single chip microcomputer, and the gases extracted in all the layers are delivered to a CO2 analyzer for measurement respectively, so as to achieve the purpose of automatically measuring and recording the respiration at different measurement points by use of one infrared CO2analyzer. Eleven measuring pipes for sample collection can be connected into the method at the same time and an auxiliary environmental sensor can also be connected into the method at the same time, so as to enable the researcher to analyze the correlation of data. The single chip microcomputer stores the collected data in a chip of a memory unit, so as to provide convenience to the researcher during the multi-stage data analysis. The gas samples are divided into two groups, so as to achieve the purpose of long-term automatic comparative test in the two groups. Therefore, the method is widelyused for dynamically monitoring the respiration of the root system of a wild plant, and has the advantages of good uniformity of data and low investment in equipment.

The disclosure includes a method of screening for, diagnosing or detecting non-small cell lung carcinoma or an increased likelihood of developing non-small cell lung carcinoma in a subject. The method comprises:

• • (a) determining the level of at least one biomarker in a test sample from the subject wherein the at least one biomarker is selected from the biomarkers set out in Table 2, 4A, 4B, 6 and/or 7; and
  • (b) comparing the level of the at least one biomarker in the test sample with a control;

wherein detecting a difference in the level of the at least one biomarker in the test sample compared to the control is indicative of whether the subject has or does not have non-small cell lung carcinoma or an increased likelihood of developing non-small cell lung carcinoma.

Provided is a method of screening for, diagnosing or detecting ovarian cancer in a subject comprising (a) determining a level of mdogen-2 in a test sample from the subject, and (b) comparing the level of mdogen-2 in the test sample with a control, where detecting an increase in the level of mdogen-2 in the test sample compared to the control is indicative of ovarian cancer in the subject.

The invention discloses a strip steel surface defect classification method. The method is carried out on the basis of a Gabor feature fusion block histogram; firstly, a sample library is established,and a sample set is divided into a training set and a test set; secondly, all pictures in the sample set are normalized to be same in pixel size and are imported into a Gabor filter for performing multi-scale multi-direction filtering to obtain filtering result graphs; thirdly, the filtering result graphs are fused into result graphs with the number as same as a scale quantity, the result graphs are divided into blocks, dimensionality reduction is performed on each sample picture by using KPCA, and an SVM classification prediction model is built by using labels of the sample pictures in the training set and the corresponding feature dimensions; and finally, a PSO algorithm is used for performing parameter optimization on an SVM, classified prediction is performed on the SVM model by utilizing the processed sample pictures in the test set, and then to-be-tested strip steel pictures can be subjected to comparative test. The method is high in automatic classification accuracy and high inexecution efficiency, and has huge economic values.

The invention discloses a shot image quality evaluation method based on visual perception, and mainly aims to solve the problem that the conventional image quality evaluation method is of poor performance for quality evaluation of shot images. The method comprises the following steps: shifting a standard image to an HIS color space; working out the gradient coefficient of the standard image, calculating the hue component, saturation component and brightness component of the standard image and the gradient coefficient of a gray image, and normalizing the gradient coefficients; representing the image quality with estimated parameters; carrying out model training, and calculating the quality characteristic of all standard images in a training set; and comparing the difference between a test image and the standard images in quality characteristic to get the quality score of the test image. The method is simple in calculation. Experimental results show that the test result obtained by the method is highly consistent with that of subjective quality evaluation, and the method has better evaluation performance than the existing image quality evaluation method and has strong practical value.

New synthetic Lipid-A analogs based on monosaccharide (1) and disaccharide (2) derivatives were designed and prepared in the present invention. Both structures (1) and (2) incorporate novel lipid structures (3) and (4) that are not found in nature. Also, novel disaccharide Lipid-A structures (2) that incorporate novel contingents of uniform lipids and where R₁, R₄ and R₅ are the same substitution group of structure (III) were synthesized. Liposome formulations containing totally synthetic components such as synthetic Lipid-A and synthetic lipopeptide derived from tumor-associated MUC1 mucin are described along with their therapeutic utility. Comparative test results of immunostimulating properties and toxicity of Lipid-A analogs (1) and (2) are included.

The invention discloses a comparative test system of fire extinguishing performance of water additive agent for firefighting. The comparative test system comprises a burning device, a fire extinguishing device, a temperature measuring device, a temperature paperless recorder, a weight measuring device, a conditioning circuit, a data acquiring card, a computer and a camera. A liquid injection port of the fire extinguishing device directly faces the position right above the burning device, the temperature measuring device is arranged above the burning device and connected with the temperature paperless recorder, the temperature paperless recorder automatically acquires and records data, the weight measuring device is assembled on the burning device and the fire extinguishing device and connected with the conditioning circuit, weight signals are transmitted to the data acquiring card by the conditioning circuit and the data acquiring card is connected with the computer via a PCI bus. A shot of the camera aligns to flame. A using method of the comparative test system has the advantages that temperature, weight of inflamers, extinguishment time, after-combustion time of the inflamers, pressure in an water additive agent box and video information in the process of extinguishment of the water additive agent can be automatically and accurately acquired completely, and extinguishing performance of the water additive agent can be accurately judged.

The invention discloses a method for determining allowable defects of a honeycomb sandwich layer of a helicopter, belongs to the technical field of structural fatigue design of helicopters and particularly relates to a method for determining honeycomb sandwich layer structure defects of a helicopter body with defects. By prearranging internal and external defects on a honeycomb sandwich layer test piece and determining the rationality of defect parameters by adopting static strength, fatigue and remaining strength comparative tests under real load-bearing environments, bases are provided for the design and handling of such manufacturing deviations, the manufacturing and using costs of the honeycomb sandwich layer structure can be decreased and the risk in use of the defective structure is reduced.

Embodiments of the present invention provide a multi-input comparative testing tool. The present invention looks at the internal structure of the software being tested and compares the two pairs of internal structures. In the present invention, the testing tool is capable of receiving multiple program code files or data files as its input. For each program code file, the testing tool generates a collection of problem objects and compares pairs of the problem collections with each other. The present invention may also run on data files having program code. For example, the present invention is capable of testing extensible markup language (XML) files to determine if they validate against a schema. Problem objects that are in both collections are identified and set aside. The remaining problem objects are then marked either as being resolved or new depending in which collection they exist.

A weighing apparatus calibration method uses a test mass, a material and a terminal to calculate and compare the total weight of the test mass and material to determine if the total capacity of the weighing apparatus has been calibrated. A system for managing calibration of a weighing apparatus is also described.

Signal processing technology for assessing dynamic system similarity for fault detection and other applications is based on time- and frequency-domain time series analysis techniques and compares the entire autocorrelation structure of a test and reference signal series. The test and reference signals are first subjected to similar pre-processing to help guarantee signal stationarity. Pre-processing may include formation of multivariate signal clusters, filtering and sampling. Multivariate periodograms or autocovariance functions are then calculated for each signal series. Test statistics are computed and assessed to determine the equality of the test and reference signals. When the difference between sample autocovariance functions or periodograms of such signals exceeds a preselected threshold value, fault detection signals and/or related diagnostic information are provided as output to a user.

Systems and methods for determining a user's touch in a capacitive touch sensor system is provided, including performing a series of potential touch detection tests for a plurality of sensors until a potential touch is detected and measuring a test frequency for one of the sensors, such that a potential touch may be detected when the measured test frequency deviates from a previously measured test frequency for the same sensor. After detecting a potential touch, the method may additionally include performing a series of baseline comparison tests for each of the sensors, for example, measuring a current frequency for one of the sensors, comparing the current frequency to a baseline frequency, and assigning a deviation value based on the comparison the current frequency and the baseline frequency. The method may identify the sensor with the largest deviation value as a touched sensor.

A system, method, and computer program product for producing maps, including a client module for dividing a map production job into smaller tasks; and a worker module for enabling workers to perform said tasks. A test module is provided for enforcing quality standards and includes a qualification module for verifying that a worker is qualified to work on a task, a binary test module for prompting workers to review and pass or fail a submission, a comparative test module for assigning a task to multiple workers and comparing the results, a defacing module for introducing errors into submissions, a client review module for enabling a client to review and pass or fail a submission, and/or an eligibility module for preventing failing workers from contributing to a job.

The invention discloses a unit delay prediction method based on a neural network, comprising the following steps: S1, selecting characteristic quantities required by SPICE simulation and neural network training; 2, randomly selecting that characteristic value, adopting SPICE to simulate and measure the delay of the unit, and establishing a sample set of the delay of the unit; S3, dividing the unitdelay sample set obtained by SPICE simulation into training sample set and test sample set, training the neural network model by a training sample set, and verifying the accuracy of neural network bytesting sample set, comparing the error between the unit delay predicted by testing sample set and the unit delay measured by SPICE simulation, and optimizing repeatedly the neural network parametersto reduce the error. The neural network model is a prediction model of unit delay. The invention also discloses a cell delay sensitivity calculation method. The invention has the advantages of high precision, low modeling cost and fast prediction speed.

The invention discloses a cell excitation treatment instrument for cardiovascular diseases. The cell excitation treatment instrument for cardiovascular diseases comprises an electromagnetic wave generator capable of applying electromagnetic wave to a human body, and is characterized in that the current waveform of electromagnetic wave-generating current which changes along with time is as follows: I(t)=0, t<0, Imax*(1-(1/e<t/ tau >)), 0, t>t1, wherein t is more than or equal to 0, but less than or equal to t1; tau is equal to a time constant of the waveform generator; t is a time (point); t1-t is the lasting time or the working time of a pulse; Imax is the maximum current flowing through a circuit; the ranges of tau and t1 are as follows: a), tau is more than or equal to 300usec, but less than or equal to 0.1sec, and b), t1 is more than or equal to 5msec, but less than or equal to 0.1sec; and c), Imax is more than or equal to 50mA, but less than or equal to 200 Ma. The cell excitation treatment instrument for cardiovascular diseases uses customized electromagnetic wave, so that the electromagnetic wave has relatively good therapeutic effect on specific diseases, namely the cardiovascular diseases, in particular on hypertension and heart disease; and the therapeutic effect has been verified by a considerable number of comparative tests.

A method for test data compression includes generating a plurality of test cubes, each test cube comprising test cube data. Each test cube is compared with at least one other test cube, as test cube pairs, to generate a compatibility rating for each compared test cube pair. The compared test cube pair with the highest compatibility rating is determined. The compared test cube pair with the highest compatibility rating is grouped into a test cube set. The remaining test cubes are grouped into test cube sets, as test cube pairs, based on the compatibility ratings of the compared test cube pairs.

For at least one test cube set, a new codeword set is generated. Test cube data is grouped into blocks based on the new codeword set. Compression for the grouped test cube data is computed. A determination is made whether compression is improved as compared to a previous codeword set. If compression is not improved, the test cube set is encoded with the new codeword set to generate an encoded test cube set. If compression is improved, the previous codeword set is set as the new codeword set, and the steps are repeated beginning with generating a new codeword set. The encoded test cube sets are concatenated to form a decompressed encoded test stream. The decompressed encoded test stream is compressed to form a compressed test stream.