37results about How to "Avoid false results" patented technology

The invention discloses a resolving power measuring device and a resolving power evaluation method for a three-generation dim light image intensifier, and belongs to the field of optical measurement and metering. The resolving power measuring device is characterized by consisting of a light source component, a resolving power target, a collimator tube, an imaging objective lens, a test camera obscura, a charge coupled device (CCD) camera and a computer. The resolving power evaluation method comprises the following steps of: imaging the resolving power target irradiated by a standard light source to a fluorescent screen by using a measured image intensifier; converting into a frame image of a target line by using the CCD camera, and transmitting into the computer; successively processing asingle frame image of the target line by using a normalized cross correlation model and an optical modulation degree model through internal image processing software of the computer to acquire a single frame processing result; and analyzing multi-frame processing results and performing corresponding supplement operation to acquire a final resolving power evaluation result. By the device and the method, the problem of objective evaluation during resolving power measurement of the three-generation dim light image intensifier is solved; and the device and the method can be popularized to other measurement fields such as an intensified charge coupled device (ICCD) measurement field and the like where resolving power is required to be objectively evaluated, and have wide application prospects.

The invention provides an Internet of Things data processing method and device, and an Internet of Things system the method. The method comprises the following steps of acquiring a data identifier corresponding to collected Internet of Things data, wherein the Internet of Things data is collected by a first Internet of Things device; sending an identity verification request message containing identity verification information of the first Internet of Things device and the data identifier to each second Internet of Things device in the Internet of Things in order to enable each second internetof things device to verify the identity verification information according to the respective corresponding block chain, wherein the block chain comprises identity verification information of the legalInternet of Things devices in the Internet of Things; when identity verification passing response messages exceeding a preset proportion are received, generating a new block comprising the data identifier in the block chain corresponding to the first Internet of Things device; and writing the Internet of Things data, the data identifier and the block number of the new block into a database. According to the Internet of Things data processing method and device, and the Internet of Things system, the authenticity and the reliability of the Internet of Things data can be improved.

The invention discloses a gastrointestinal transit disorder diagnosis composition. The composition which can disintegrate at fixed time and fixed position in the gastrointestinal tract consists of an inner body, an outer layer covering the inner body and a gastrointestinal transit disorder diagnosis probe material which is mixed in the inner body or / and the outer layer. According to the evaluation of information on the probe marker material-containing preparation, such as position in the gastrointestinal tract, retention and image characteristics after disintegration, after a receiver takes the composition orally, the composition can be used for the diagnosis, positioning and degree and property judgment of clinic gastrointestinal transit disorder, such as gastrointestinal obstruction caused by benign and malignant occupation, and the identification and diagnosis of gastrointestinal transit disorder, such as redundant colon and irritable bowel syndrome.

This invention relates to a multi-item dry test paper including a base plate with more than two items of test paper blocks on it and identifying strips on zones between the blocks suitable for positioning of test strips or positioning test paper block to be tested by instrument testing. Identifying strips are set at the front of the first or the back of the laser test paper or both as the starting or ending marked strips with advantages of increasing qualified products and productivity and accurate measurement, easy to identify for eye colorimetry test avoiding mistaken match of test blocks related to the standard test blocks.

The apparatus has a control and evaluation unit to supply alternating voltage to one pair of electrode while supplying voltage or current signal as a measurement signal to other pair of electrodes to reconstruct a matrix from pixels of measurement signal. The sequence of reconstructed matrix is obtained over inspiration and expiration of pixel time series to compare associated series of impedance alteration with time series of middle impedance alteration. The associated pixel is evaluated, if measure of deviation satisfies a predetermined threshold criterion. An independent claim is included for a method for receiving a sequence of EIT images of a cross sectional plane of thorax of patient.

The invention relates to a software radio conformance test method based on a multi-population genetic algorithm, and solves the problem of loop test for some functions or the whole system. According to the method, according to the characteristics of the software radio conformance test, abstract component models are constructed, feasible test sequences are generated, a test sequence set capable ofrealizing test full coverage is constructed, and the test sequence set is optimized by adopting a multi-population genetic algorithm, so that the test efficiency is improved as much as possible, the test time is shortened, the vacancy of domestic software radio conformance test research is made up, and a good foundation is laid for subsequent test automation research.

The invention provides an electrochemical biosensor and a manufacturing method thereof. The biosensor has a front side conducting layer on the front side of a base plate and a back side conducting layer on the back side of the base plate, wherein the front side conducting layers and the back side conducting layers are different; a front side reagent block and a back side reagent block which are different are also arranged on the base plate; two cover plates respectively cover the front side reagent block and the back side reagent block; the front side reagent block and the back side reagent block comprise at least one enzyme reacting with a sample and an electron mediator respectively; the front side conducting layer is provided with three electrodes; the back side conducting layer is provided with two electrodes. According to the manufacturing method, the conducting layers are formed on the front side and the back side of the base plate through printing or magnetron sputtering; insulation layers are printed on the conducting layers; the front side and back side reagent blocks are put in the front end grooves of the insulation layer; the cover plates are attached onto the surfaces of padding layers pasted with the insulation layer and the reagent blocks. The electrochemical biosensor is used for testing two ingredients in the same sample; the blood collection of a user is reduced; the electrochemical biosensor is applicable to the detection of items of glucose, uric acid, cholesterin and the like; the electrode numbers of the front side and back side conducting layers are different, so that the recognition is easy and a test instrument can be conveniently and correctly inserted.

The invention belongs to the field of biotechnology and particularly relates to a compound amplification system and a kit for MSI (microsatellite instability) gene mutation detection. The compound amplification system for MSI gene mutation detection is provided and amplifies mononucleotide microsatellite gene sites and dinucleotide microsatellite gene sites simultaneously; the mononucleotide microsatellite gene sites comprise NR-21, NR-22, NR-24, NR-27, BAT-25, BAT-26 and MONO-27; the dinucleotide microsatellite gene sites comprise one or more of D2S123, D17S250, D18S34 and D5S346. The mononucleotide microsatellite sites and the dinucleotide microsatellite sites are combined for detection and analysis of MSI, the detection accuracy and sensitivity can be effectively improved, and the system can be used for quickly detecting typing of tumor to guide treatment.

The invention discloses a device and method for checking blank of a cup of a biochemical analysis meter. The device consists of a reaction disc, reaction cups, a cleaning mechanism, an optical mechanism, a data acquisition system, a main control mechanism and a mechanism controller. The plurality of reaction cups are sequentially fixedly arranged around the circumference of the reaction disc, the cleaning mechanism, the optical mechanism, the data acquisition system and the main control mechanism are arranged around the reaction disc, the optical mechanism is arranged on and is connected with the data acquisition system, the data acquisition system is connected with the main control mechanism, and the mechanism controller is connected with the reaction disc and the cleaning mechanism. The method comprises the following steps of: firstly, automatically cleaning the reaction cups; secondly, obtaining blank values of the reaction cups; and thirdly judging abnormality of the blank values of the reaction cups. The device and the method for checking the blank of the cup of the biochemical analysis meter, disclosed by the invention, have the beneficial effects of fastness, accuracy, and prevention on error results in a test to obtain the accurate result.

The present invention belongs to the technical field of radars or similar systems special for application, and discloses a lag track correlative fusion method, system and application based on a randomdistance. The concrete flows of the method comprise: inputting a first-class reference track and multiple other-class tracks; selecting windows with sizes of n; calculating the lag correlation; finding a track set meeting the correlation threshold value; performing verification of the random distance for the track correlation in the set; determining the correlative track and performing track fusion; and calculating the incidence relation between the tracks with lag correlation, ranking the incidence relation, finding the track with the maximum incidence relation and taking the track with themaximum incidence relation as an correlative track, and employing a least square method to start fusion from the track lag moment. The lag track correlative fusion method, system and application basedon the random distance are high in classification precision and low in operation time complexity, can effectively solve the fusion problem of lag and interrupted tracks in the track correlation fusion, can improve the track correlation correction and effectively improve the integration of target feature portrayal description through fusion.

The document processing method and apparatus provided by the present application. The method comprises the following steps: Classifying the files of the task according to the dependency relationship among the files of the task, Classifying the files with dependency relationship into the same category, distribute the files on the basis of the classification, and distributing the files divided intothe same category to the same node of the distributed cluster. As such, based on that scheme of the present application,ensuring that individual files in the task that have dependencies are distributed to the same node in the cluster, Correspondingly, there is no dependency between the files of different nodes in the cluster, which brings convenience to the processing of the files by the nodes, eliminates the need of cross-node reference, effectively avoids the error results of the nodes in the distributed system, and is more conducive to the effective utilization of the computing resources inthe distributed system.

The invention provides a hybridoma cell line secreting methotrexate monoclonal antibody, its preparation method and application, and the biological deposit number of the hybridoma cell line is CCTCC NO: C201726. The preparation method of the hybridoma cell line secreting methotrexate monoclonal antibody comprises the steps of: immunizing Balb / c mice with the antigen MTX-BSA; collecting the splenocytes of the immunized mice, and carrying out Fusion, fused hybridoma cells are selectively cultured with HAT medium; the antibody content in the hybridoma cell culture supernatant is detected by indirect competitive ELISA method, and hybridoma cell lines that stably secrete monoclonal antibodies are screened. The hybridoma cell line can produce anti-methotrexate monoclonal antibody, and the monoclonal antibody has high specificity and can be used to specifically recognize methotrexate.

The invention provides a map generation method, a positioning method and system and a computer readable storage medium. The map generation method comprises the steps of aligning a visual positioning map to a spatial geographic coordinate system, and calculating position information of each key frame in the spatial geographic coordinate system; and calculating azimuth angle information of each key frame relative to the spatial geographic coordinate system by using the position information and the main optical axis so as to obtain orientation information of the key frames. The map positioning method comprises the following steps: acquiring second attribute information and image features of a to-be-positioned image; removing the key frames larger than the screening radius to obtain screened first key frames; screening out a second key frame from the visual positioning map based on orientation information of an image to be positioned and the key frame orientation information; and screening out a third key frame from the key frames based on the image features. According to the method, the error rate caused by image retrieval in the visual map positioning process can be reduced while rapid positioning is carried out by using fewer map key frames.

The invention discloses a target tracking method based on an attention cycle network. A local position attention mechanism and an appearance attention mechanism are introduced into a target tracking framework; three depth models are set up, a cyclic convolutional neural network is adopted to perform time sequence prediction; the uncertainty evaluation mechanism and other technical means are addedinto the tracking framework, the efficiency and accuracy of visual target tracking based on the computer algorithm are greatly improved, high reliability and promotable value are achieved, and compared with other time sequence prediction methods, the parameter amount is small, the speed is high, and the accuracy is high; an uncertainty evaluation mechanism is used in the tracking process, the quality of a tracking result can be guaranteed, a tracker is initialized or tracking is stopped in time when the quality is reduced, too many wrong results are prevented from being given, and higher reliability is achieved.

The invention discloses a keyword detection method and system based on unlabeled keyword data, and the method comprises the steps: collecting a large amount of unlabeled audio data, adding preset wake-up word audio and non-wake-up word audio in the unlabeled audio data, and forming a preprocessing audio library; classifying the audio data in the preprocessed audio library based on an unsupervised deep learning classification method; extracting features from the classified audio data to generate feature data; inputting the feature data into different types of neural network models for training to obtain a plurality of different keyword detection models; and detecting the to-be-predicted audio based on the plurality of different keyword detection models to obtain a final detection result. According to the method, comprehensive comparison classification training is carried out on the audio data, and the classification accuracy is higher.

The invention relates to a joint detection kit for two pathogenic bacteria of gonococcus and chlamydia trachomatis, wherein the joint detection kit comprises a detection card and a lysate; the detection card comprises a gonococcus detection test strip and a chlamydia trachomatis detection test strip; the gonococcus detection test strip and the chlamydia trachomatis detection test strip both comprise sample pads; and the lysate comprises 0.05-0.15 M of a NaOH solution, 0.15 M of a Na2HPO4 solution, 0.005-0.01% by mass of NP40 and 0.005-0.01% by mass of X-100. The lysate adopted in the kit is alkaline, the sample pads of the two pathogenic bacteria are acidic, one-time sampling and one-time sample treatment are achieved by changing the components of treating fluids of the two sample pads, detection of the two pathogenic bacteria is completed at the same time, and operation is convenient and rapid.

The invention discloses a digital asset key management and interaction method and system based on a block chain. The method comprises the following steps: establishing communication connection betweena cipherer and terminal equipment; Through example dynamic demonstration, a user is guided to initialize a cipherer on terminal equipment, public and private keys of the cipherer are obtained, and initialization comprises the steps that a wallet corresponding to the cipherer is created and / or recovered; Binding the created or recovered wallet with the current merchant at the business level; And creating a wallet on the block chain according to the public key of the cipherer. According to the invention, a user is guided to operate by using the example dynamic demonstration; The method is simple and clear, avoids error results caused by redundant operation, can recover public and private keys of the cipherer through words set by a user during initialization, and does not need to perform click operation on line when the user records the words on the recovery card offline, so that the operation steps of the user are reduced, the use process is more convenient and smoother, and the user experience is greatly improved.

The invention discloses an intelligent correction anti-interference high-precision salinity detector. The intelligent correction anti-interference high-precision salinity detector comprises a shell, acircuit board, a display screen, a control key and three arc metal bodies, wherein the outer circumferential surface of the front end of the shell is provided with a recessed groove, the three arc metal bodies are embedded into an exposed opening of the recessed groove and are completely lower than the outer circumferential surface of the front end of the shell; when in detection, the phenomenonthat the arc metal body contacts the inner wall of a container can be completely prevented, the problem of the traditional detector that whether detection ring contacts the inner wall of the containerneeds to be always watched can be prevented, the interference resistance is high, and the detection precision is high; and meanwhile, a first salinity value and a second salinity value are correspondingly acquired by virtue of a first salinity detection module and second salinity detection module in the circuit board, whether the two groups of data are in a designed range can be determined by virtue of intelligent analysis, two groups of data can be acquired by virtue of one-step insertion detection for comparison, the accuracy of the detection value can be effectively ensured, the display error result is avoided, the detection procedures are also simplified, and the detection efficiency is improved at the same time.

The invention discloses a resolving power measuring device and a resolving power evaluation method for a three-generation dim light image intensifier, and belongs to the field of optical measurement and metering. The resolving power measuring device is characterized by consisting of a light source component, a resolving power target, a collimator tube, an imaging objective lens, a test camera obscura, a charge coupled device (CCD) camera and a computer. The resolving power evaluation method comprises the following steps of: imaging the resolving power target irradiated by a standard light source to a fluorescent screen by using a measured image intensifier; converting into a frame image of a target line by using the CCD camera, and transmitting into the computer; successively processing asingle frame image of the target line by using a normalized cross correlation model and an optical modulation degree model through internal image processing software of the computer to acquire a single frame processing result; and analyzing multi-frame processing results and performing corresponding supplement operation to acquire a final resolving power evaluation result. By the device and the method, the problem of objective evaluation during resolving power measurement of the three-generation dim light image intensifier is solved; and the device and the method can be popularized to other measurement fields such as an intensified charge coupled device (ICCD) measurement field and the like where resolving power is required to be objectively evaluated, and have wide application prospects.

The present invention relates to test device for mosaic storage and belongs to the field of storage test. The present invention can save chip area and power consumption. The mosaic storage testing and controlling module includes one address generator, one limited state machine and one vector generator. The address generator corresponds to the deepest memory in the N memory modules; and the vector generator corresponds to the memory with great bit width in the N memory modules. When the address generator has addressing depth exceeding that of the address generator during addressing the N memory modules, the address generator sends inhibition signal to the memory modules with greater depth to inhibit the multiplexer to lead the vector to the memory modules and sends inhibition signal to corresponding responding analyzers to inhibit their work.

The method is suitable for the field of computers and provides a database structure testing method, a database structure testing device and terminal equipment, and the method comprises the steps: obtaining a to-be-detected regular expression in a front-end code, and converting the regular expression which accords with a front-end code language rule into first database data which accords with a structured query language rule; extracting all second database fields matched with the first database field and a second data attribute corresponding to each second database field from a preset database;and comparing the first database data with each group of second database data to obtain a test result, wherein each group of second database data comprises a second database field and a second data attribute corresponding to the second database field. Through the method, the database structure test efficiency and the test result accuracy can be effectively improved.

A Universal Mobile Telephone System (UMTS) receiver performs slot synchronization using a received primary synchronization channel (PSCH) (305). Subsequent to completion of slot synchronization, the UMTS receiver performs frame synchronization using a received secondary synchronization channel (SSCH) (320) in such a way that the UMTS receiver uses the received primary synchronization channel (PSCH) to detect a change in channel conditions (325, 330, 335, 350, 355, 360).

The invention discloses a keyword detection method and system based on unmarked keyword data, which includes collecting a large amount of unmarked audio data, adding preset wake-up word audio and non-wake-up word audio to the unmarked audio data to form a preset Process the audio library; classify the audio data in the pre-processed audio library based on the unsupervised deep learning classification method; extract features from the classified audio data to generate feature data; input the feature data into different types of neural network models for further processing Training to obtain multiple different keyword detection models; based on multiple different keyword detection models, the audio to be predicted is detected to obtain the final detection result; this method performs comprehensive comparison and classification training on audio data, and the classification accuracy is higher.

A Universal Mobile Telephone System (UMTS) receiver performs slot synchronization using a received primary synchronization channel (PSCH) (305). Subsequent to completion of slot synchronization, the UMTS receiver performs frame synchronization using a received secondary synchronization channel (SSCH) (320) in such a way that the UMTS receiver uses the received primary synchronization channel (PSCH) to detect a change in channel conditions (325, 330, 335, 350, 355, 360).

The invention relates to the technical field of fluid detection, and discloses a one-step method fluid detection cup aiming at the problems of complex liquid detection process and detection result deviation in the prior art, which comprises a cup cover, a nested inner cup, an outer cup and multi-item joint detection cards, wherein a clamping boss is arranged at the upper end of the nested inner cup; a liquid drainage hole is formed in the bottom part of the nested inner cup; a limiting plastic piece is arranged on the outer side of the nested inner cup, the outer cup is arranged on the outer side of the nested inner cup in a sleeving mode, the inner side of the upper end of the outer cup is clamped with the outer side of the clamping boss, the outer side of the upper end of the outer cup is detachably connected with the cup cover, a detection cavity is formed between the nested inner cup and the outer cup, and the limiting plastic piece is provided with the multi-item joint detection cards. The inner and outer cup nested structure designed in the invention can directly separate the measured fluid, reduce the detection operation difficulty and improve the detection efficiency; and through the three multi-item joint detection cards on the detection cup, one specimen can be used for simultaneously detecting not less than multiple detected objects, so that the one-step method fluiddetection cup is convenient and efficient.

The invention provides a method and system for license plate recognition, and equipment to provide an LPR manner that has a low requirement for image resolution and is effective. The system (100) forlicense plate recognition includes first equipment (10) configured to capture an image of a vehicle (50), and second equipment (20) configured to obtain an image of a license plate (60) from the imageof the vehicle (50), recognize the license plate (60) using a model, where the model is trained using an annotated image of the license plate, and identify a license plate (60) using the model, and the annotated image is generated based on the image of the character and the image of the scene. Since the model is trained using the generated annotated images of the license plate, time-consuming manual annotation can be omitted, which saves time and improves efficiency. A well-trained and accurately-labeled model is utilized, and even the license plate can be recognized based on a low-resolutionimage.

The invention relates to the technical field of internet information, in particular to an order assignment method and system based on interactive reinforcement learning. According to the invention, man-machine interaction is introduced in an autonomous learning process, a man-machine interaction mode of human demonstration, interference and evaluation is fused, learning is carried out from the human demonstration, and a real order assignment scene can be better simulated through real data of the human demonstration; learning is carried out from human interference, when wrong actions occur in the autonomous learning process, the performance of the intelligent agent is controlled, and wrong results are avoided; learning is carried out from human evaluation, an autonomous learning result is evaluated manually, so that the learning process shifts to a better order assignment strategy direction, the learning process is accelerated, and an optimal order assignment strategy is obtained.