54 results about "Standard result" patented technology

A wicking material is disclosed that exhibits a horizontal wicking velocity of at least about 1.0 millimeter per second when contacted with a physiological fluid such as blood, lymph or cellular interstitial fluid. This high wicking rate is achieved by means of treatment of a fibrous wicking material candidate with a low temperature gas plasma, particularly a glow discharge gas plasma formed in a gaseous blend made up predominantly of a mixture of oxygen with a saturated alkane chosen from the group consisting of methane, ethane and propane. Diagnostic test strips made with the surface-modified wicking material, and containing an immobilized reagent means for analysis of an analyte in a physiological fluid, show improved performance in terms of increased accuracy, finer precision of analyses, reduced time of analysis, a smaller fluid sample size requirement, and improved compliance with manufacturing standards resulting in lower manufacturing costs blood sugar determinations.

A PCI-Express compatible switch is provided with two or more, internal virtual buses. In one embodiment, at least one of the plural virtual buses is designated as a special bus that is limited to having no more than 16 devices on it even though the protocol allows for a maximum of 32 devices on each PCI bus. In a supplemental or alternate embodiment, at least one virtual bus is limited to having no devices on it. A non-transparent bridge is provided on at least one of the special buses for providing cross-border routing of packets from one root domain to another root domain. The number-of-devices limitation placed on the special bus reduces the number of bits needed in a corresponding Device identifying field of a destination ID Tag to 4 or less, this integer number being smaller than the prescribed 5 bits called for by the PCI-Express standard for addressing the maximum of 32 devices per bus. As a result, excess bits within the 5-bit Device field are freed for other use. One of the other uses is that of extending beyond 8, the number of domestic devices that can serve as request originators for cross-border split transactions that route through the non-Transparent bridge.

The invention provides a voice identification test method and terminal. The method comprises steps that the voice data generated by a to-be-tested audio file played by the test terminal is transmittedby the test terminal to a client terminal through an audio transmission line; the received voice data is encoded by the client terminal, the encoded voice data is sent to a voice identification server for voice identification; the voice data is identified by the voice identification server, and the voice identification result is sent to the client terminal; the voice identification result is acquired by the test terminal from the client terminal; the voice identification result is compared with the corresponding standard result of a pre-stored to-be-tested audio file by the test terminal to acquire the test result. The method and the terminal are advantaged in that voice identification test efficiency can be improved through the automatic voice identification test.

The invention discloses a method for software regression testing, comprising the following steps: step S102, simulating the input of the software to be tested into a message, and sending the message to the software to be tested through the test platform, and Output and write stub file; Step S104, construct query message according to the output of the software to be tested, to obtain the output result of the software to be tested by querying the query message when each test, and put in the stub file corresponding to the output result The record returns to the test platform; step S106, according to the message that is simulated by the software to be tested, the test program file is established, and the test program file is executed, and the result after the correct execution is recorded together with the record of the stub file returned to the test platform as and save the standard result file; and step S108 , when the test plan file is executed next time, automatically compare the current result file with the standard result file to complete the regression test. The method of the invention is adopted for testing, so that the processing of pile files becomes very simple.

A cross-language text classification method based on cross-language word vector representation and classifier joint training is disclosed. The invention relates to a cross-language text classificationmethod and aims to solve the problem that an existing method based on synonym replacement has low classification accuracy, an existing translation-based method has high accuracy but the training of atranslator requires a large amount of corpus, the training takes a long time, the task complexity and the time consumption are far more than that of a simple task of text categorization, and so the existing translation-based method is not practical. The method of the invention comprises the steps of (1) performing corpus preprocessing, (2) optimizing a total loss function by a gradient optimization method so that the total loss function reaches a minimum value, wherein the total loss function is corresponding to a set of word vectors and a classifier, and (3) taking a label with a highest probability as a classification result of a test text on a target end language T, comparing the result with a standard result of a test set, and obtaining test accuracy and a recall rate index. The method is used in the field of cross-language text classification.

The invention provides a device for completing communication addresses. The device comprises an address text preprocessing unit and an address segmenting and annotating unit and an address completing unit. The address completing unit comprises an address parser. The invention further provides a method for completing the communication addresses. The method includes preprocessing an inputted address text, in other words, deleting redundant spaces and converting full-width characters of numbers or letters into half-width characters; segmenting an address of the address text to obtain an address sequence, and annotating corresponding address classes on the address sequence; acquiring the most similar standard address according to address index files and completing the address text. The device and the method have the advantages that a precise standard result can be acquired after the address is completed, the random input requirement of a user can be met, a troublesome procedure for manually inputting a complete communication address is omitted, and the user experience is improved.

Provided is a distributed test method, device, computer device and a storage medium. The application relates to a business test method, device, a computer device and a storage medium. The method comprises: splitting a tested service according to service logic of the tested service to obtain at least one functional module, and outputting at least one of the functional modules; receiving input testinstructions for the functional module; obtaining test data corresponding to the test instructions, and inputting the test data into the functional module to obtain test results; comparing the test results with standard results; when the test results are different from the standard results, determining that the functional module has a vulnerability. By adopting the method, by receiving the input test command for a split functional module, it can enhance the testability of software and software can be positioned more accurately, without the need to complete the test of the tested service, greatly reducing the amount of testing.

The invention discloses a data auditing method and device. when a query request is received; each service party device can store the encrypted query result as a to-be-audited result in the block chain; therefore, when an audit request for the query request is received, the to-be-audited result stored in the block chain of each service party device can be audited according to the encrypted query result (i.e., the standard result) returned by each service party device according to the audit request.

The present invention relates to a standardized turnover estimation method and system. By using massive indicators as reference values, a comparison store model is established for various types of stores in various industries. The comparison store model is associated with several attributes, and the basis of the comparison store model The data comes from existing stores, and the error between the judgment result and the actual turnover is controllable. Each type of comparison store is associated with a turnover estimation model, and the turnover estimation model includes several estimation indicators; select the comparison store model that matches the attributes of the store to be estimated, and use the corresponding comparison store model associated with the comparison store model A turnover forecasting model; collecting data corresponding to forecasting indicators of the turnover forecasting model to obtain forecasted values. In the turnover estimation of stores of the same type, relatively standardized results can be obtained by using the comparison store model as the standard. The sharing and multiplexing of all data in the present invention saves a lot of repetitive collection work, and uses the same data, which is more consistent in site selection and recommendation.

The invention provides a urine detection method based on an intelligent mobile terminal. The method comprises the following steps: obtaining images of color blocks at a test paper and a test paper strip after a urine reaction as sample image information; extracting the color characteristic of the sample image information; inputting the color characteristic of the sample image information in nervenetwork for trainning to obtain the urine standard results; establishing a mapping relation model of the color characteristic and the detection result, writing the nerve network and a mapping relationmodel in an intelligent mobile terminal, and collecting the urine through the intelligent mobile terminal and the image information after the test paper strip is reacted as the to-be-measured image information; extracting the color characteristic of the to-be-measured image information and inputting the color characteristic in the nerve network, trainning the color characteristic of the to-be-measured image information in the nerve network and performing comparison according to the mapping relation model and the urine standard result, and outputting the urine detection result of the current users. The method completely realizes accurate urine detection without diagnosis in a hospital for a user, tedious queuing and diagnosis in the hospital for each time detection can be avoided, the operation is convenient, the cost is low, and the urine detection convenience is increased.

The invention discloses a low resource domain word splitter training method based on transfer learning and a word splitting method. The method comprises the steps of 1, conducting training in a targetdomain and all set domains respectively to generate corresponding word splitters; 2, using the word splitters of all the domains to conduct corpus word splitting processing on the target domain to obtain the implicit strata representation of each word xi on the corpus of the target domain of all the word splitters; 3, calculating the relevancy of the implicit strata representation of all the wordsplitters on the word xi and the implicit strata representation of the word splitters t of the target domain on the word xi, and obtaining weight vectors of the word splitters of all the domains on the word xi according to the relevancy; 4, weighing and summing the implicit strata representation of all the word splitters according to the weight vectors, obtaining the final implicit strata representation, and calculating labels of the word xi through the final implicit strata representation; 5, obtaining the word splitters of the target domain according to prediction labels and the standard result training of all words. By means of the low resource domain word splitter training method based on the transfer learning and the word splitting method, the word splitting effect of the low-resource domain corpus of the word splitters is greatly improved.

The invention relates to the technical field of CAE (Computer Aided Engineering), and provides a method for performing CAE analysis on the sinking stiffness of a roof cover of a vehicle body. The method comprises the following steps of determining the positions and the number of loading points on a roof cover model; performing loading testing on each loading point to obtain a statistical result; drawing a displacement-loading curve, judging whether the sinking stiffness of the roof cover model meets a requirement or not according to loading magnitude, displacement and the slope of the curve, and regenerating a roof cover model if the sinking stiffness of the roof cover model does not meet the requirement. According to the method for performing CAE analysis on the sinking stiffness of the roof cover of the vehicle body, the loading points are automatically selected and analyzed, so that time is saved, a standard result can be obtained, comparison between multiple measurement results of the same vehicle body and measurement results of different vehicle types is facilitated, greater convenience is brought to an engineer, and the project development cycle is shortened.

The embodiment of the invention discloses a system testing method and device based on chaotic engineering, computer equipment and a storage medium. The method belongs to the technical field of system testing, and comprises the steps of obtaining a target IP address input by a user, and judging whether the obtained target IP address meets a preset condition or not; if the obtained target IP address meets the preset condition, judging whether a preset creation instruction for creating a chaotic experiment is received or not; if a preset creation instruction is received, acquiring fault information of the chaotic experiment, and sending the fault information to a target program corresponding to the target IP address through a first preset instruction; and obtaining an execution result corresponding to the target program through the second preset instruction, and determining an experiment result corresponding to the chaotic experiment according to the execution result and a preset standard result. According to the embodiment of the invention, the accuracy and reliability of system testing can be improved, and the high availability of the system is further improved.

The embodiment of the invention provides a character recognition method, a device, an electronic device and a storage medium, which relate to the technical field of image processing. The method comprises: acquiring a character image corresponding to the unique identifier and a standard result of the character image based on the unique identifier of the client; extracting features of the characterimage and generating a sample set based on the features of the character image and the standard result; the sample set being pushed to the client based on the unique identification so that the clientrecognizes an image of a character to be recognized through the sample set. The technical proposal of the embodiment of the invention can avoid the problem of low identification rate caused by different payment environments of different clients.

The application discloses a method and system for testing a client software and is used to improve efficiency and accuracy of testing of the client software. The method includes the steps of a scheduling platform determining client software needed to be tested and notifying a main control machine to test the client software; after receiving the notification, the main control machine selecting an idle auxiliary machine which needs to execute the client software and notifying the selected idle auxiliary machine to test the client software; after receiving the notification sent by the main control machine, the selected idle auxiliary machine obtaining a testware code corresponding to the client software and used to simulate the process of the user performing operations on the client software, executing the testware code, recording the execution result corresponding to at least one step during the execution process and reporting the execution result to a comparison platform; the comparison platform comparing each execution result with the corresponding preset standard result, and when an abnormal execution result is found, the comparison platform recording and reporting the abnormal execution result.

The invention provides a method for realizing rapid and remote on-line locking of a violation special vehicle, and relates to the technical field of traffic management. Through arrangement of an on-line monitoring device and a vehicle-mounted detection device activated by the on-line monitoring device and sealed on a special vehicle, the coincidence degree of a vehicle, a driving license and a driver is comprehensively detected, through the technical scheme of communicating with the on-line monitoring device in the form of normalized encoding, remote excitation of the traveling vehicle-mounted detection device is realized, and the vehicle-mounted detection device efficiently and comprehensively completes self-inspection of the vehicle, standard result data are generated through segmentation and are transmitted to the on-line monitoring device at a road side, then the on-line monitoring device performs decoding and segmented decoding and makes a comparison by steps so as to judge and identify a violation vehicle, the inspection speed and work efficiency are improved, driving normalization is effectively guaranteed and passenger and pedestrian safety are guaranteed.

The invention relates to an automatic evaluation method for Python drawing program questions. The method of combining static evaluation and dynamic evaluation is used for carrying out automatic evaluation on Python drawing program questions. The static evaluation method comprises the following steps: analyzing lexical and grammar of a source program to be tested, and comparing the lexical and grammar with lexical and grammar analysis results of a standard source program for scoring; the dynamic evaluation method comprises the following steps: running a to-be-tested program according to a testcase, and comparing a running result with a standard result for scoring; and when the motion result is unique, unloading the drawing result as an SVG file, and scoring the to-be-tested program according to the similarity of the SVG file.; and when the running result is not unique, running the to-be-tested program according to the test case, extracting the color or shape feature of the drawing result image or the combination of the color and shape features, and comparing the drawing result image with the standard result image for scoring. The Python drawing source program is automatically evaluated by combining the static evaluation method and the dynamic evaluation method, great convenience is brought to Python teaching evaluation, and the evaluation efficiency is improved.

The invention discloses a method for calculating a probability of dangerous failure on demand (PFD) and a probability of dangerous failure per hour (PFH) in a two out of four channel logic structure system. The method includes firstly calculating a common cause failure probability of the PFD and the PFH respectively according to a common cause failure formula of a common channel logic structure, then calculating formulas of probabilities of non-common cause danger failure which occurs in different channels of four channels respectively, and adding the formulas of the probabilities of non-common cause danger failure of different channels and the corresponding common cause failure formula to obtain a calculating method of a danger failure rate of the four channel logic structure. According to the method for calculating the PFD and the PFH in the two out of four channel logic structure system, a result obtained by the method is verified to be completely identical to a standard result and is capable of meeting normative requirements when compared with the result obtained through a reliability basic theory method. Calculating formulas can be directly written without establishing models, and the calculating result is more accurate and low in time consumption.

The invention discloses a neural network and a circuit design method for simulating abnormal working state of the brain. After training the neural network with the training set, the neural network gets the standard result, and then predicts the training set again with the neural network under the working state, at the same time, drives the abnormal working state, finally compares the result with the training set, and achieves the purpose of imitating brain. The training set is used to provide samples for the whole training process; Neural network chip is the carrier of the whole neural network. By comparing the results under normal conditions with those under unstable conditions based on digital integrated circuit design, the differences between the two conditions will be obtained, and theroad for future research will be paved.