225results about How to "Solve the slow test speed" patented technology

The invention publishes a method for detecting video action, and relates to the technical field of computer vision recognition. The video action detection method is based on a convolutional neural network, a space-time pyramid pooling layer is added to a network structure, restrictions of a network on input is eliminated, the speed of training and detection is improved, and the performance of video action classification and time positioning is improved; the convolutional neural network includes convolutional layers, common pooling layers, space-time pyramid pooling layers and full connection layers; and output of the convolutional neural network includes a category classification output layer and a time positioning calculation result output layer. According to the method provided by the invention, video clips of different time lengths do not need to be obtained through downsampling, but by direct one-time input of a whole video, thereby improving efficiency; and at the same time, since the network trains video clips of the same frequency, difference within a category is not increased, the learning burden of the network is reduced, model convergence is relatively fast, and a detection effect is relatively good.

A method for the nondestructive testing of a test object by ultrasound is provided, the method including generating a pulsed ultrasonic field in the test object by means of an array of individually drivable ultrasonic transmitting transducers acoustically coupled to the test object. The ultrasonic transmitting transducers are each driven with a specific analog transient excitation signal, wherein each analog transient excitation signal is generated based on an ultrasonic transmitting transducer-specific stored digital transient excitation function. The method further includes receiving resulting echo signals from the test object by means of an array of individually drivable ultrasonic receiving transducers, with each ultrasonic receiving transducer providing an analog time-resolved echo signal, temporarily storing the time-resolved, transducer-specific, digitized echo signals in the form of an echo signal set, and applying a plurality of different reception processing rules to the echo signal set.

In accordance with one embodiment, the present technique provides a testing apparatus for testing material integrity of an object. The exemplary testing apparatus includes a phased array transducer, which is disposed external to the object. The phased array transducer is configured to transmit a first set of ultrasonic signals and to receive a second set of ultrasonic signals. The testing apparatus further includes logic circuitry coupled to the phased array transducer. The logic circuitry is configured to dynamically control apertures for transmitting the first set of ultrasonic signals and receiving the second set of ultrasonic signals based on a region of interest and a testing speed.

A sensor instrument system for detecting and identifying analytes in fluids of a region comprising a local sensor instrument and remote central station. The instrument is comprised of a core technology employing a single sensor having two electrodes operated by an electrical frequency sweeping to generate two sets of patterned electrical information from a single measurement, a data transmission module and a GPS receiver module. The central station connects to a network means connected to a plurality of local receiving sites equipped with including the respective transceivers, so that the local analyte electrical information and geographic position information transmitted by the instrument can be wirelessly and remotely received and processed by the central station. The core technology is further comprised of a reference sensor for eliminating background influence, a temperature programming to control adsorption and desorption of analytes, and usage of all kinds of adsorbent materials having chemical selectivity including the hydrogen selectivity to enhance detection and identification of analytes in fluids.

The invention discloses a traffic flow rate prediction method based on road clustering and two-layer two-way LSTM (long short-term memory). The method comprises the following steps of (1) providing a mode of using peripheral equalization on a loss value when the training data has a missing value, so that the missing data is filled; the prediction precision is improved; (2) providing a method of performing relevance clustering on the road according to the historical flow rate data; dividing the road into a plurality of groups; simultaneously utilizing the time information and the space information in the data preprocessing stage for improving the prediction precision; (3) designing a two-layer two-way LSTM deep neural network model for improving the prediction precision of the model; (4) providing a method of performing mass training and test on the network model; accelerating the training and test speed of the neural network model; (5) providing a multi-model fusion method for improving the prediction precision. The method provided by the invention has the advantages that the prediction speed and the prediction precision of the deep neural network model in an aspect of traffic flow rate prediction are accelerated and improved at the same time.

The invention discloses a feature pyramid-based remote-sensing image time-sensitive target recognition system and method. The system comprises a target feature extraction sub-network, a feature layersub-network, a candidate area generation sub-network and a classification and regression sub-network, wherein the target feature extraction sub-network is used for carrying out multiple layers of convolution processing on a to-be-processed image and outputting the convolution processing result of each layer as a feature layer; the feature layer sub-network is used for overlapped the last feature layer and the current feature layer to obtain the current fused feature layer, wherein the topmost fused feature layer is a topmost feature layer; the candidate area generation sub-network is used forextracting candidate areas from different layers of fused feature layers; and the classification and regression sub-network is used for mapping the candidate areas to different layers of fused featurelayers so as to obtain a plurality of mapped fused feature layers, and carrying out target judgement on the plurality of mapped fused feature layers so as to output a result. According to the systemand method, the hierarchical structures of feature pyramids are utilized to ensure that all the scales of features have rich semantic information.

The invention discloses a pressure testing method, device and system for intelligent terminal software. The pressure testing method comprises the following steps: receiving the intelligent terminal software, a testing script thereof and a testing machine model list; selecting an intelligent terminal of a corresponding testing machine model being connected on the cloud; sending the intelligent terminal software and the testing script thereof to the selected intelligent terminal; conducting testing control on the selected intelligent terminal. The testing control comprises the following steps: installing and operating the intelligent terminal software; repeatedly playing back the testing script aiming at the intelligent terminal software to realize the pressure test on the basis of the specified frequency. By the adoption of the pressure testing method, device and system, the amount of intelligent machine models covered by the pressure test can be increased, and the testing speed and the testing efficiency are improved.

The invention discloses a multipath detecting method of semi-conductor crystal disk with probe table host controlling the multipath switching device to make the detector of detecting set connecting each group of detecting probe. The multipath detecting probe table is characterized by the following: the multipath test and communication software are inserted in the host of probe table; the test probe is chip test probe with multipath test probe connecting multiple chips simultaneously; the marking device is multipath marking device, which marks the irregular chip controlled by probe table host; the quantity of multipath switching device is the same as the test probe of multichip test probe; the multipath switching device connects the test probe through the other control line, which connects the test probe with each corresponding a group of test probe of multichip test probe separately. The invention can finish testing at least two detected semiconductor chips in one moving period, which improves the test speed and efficiency greatly.

The invention discloses a convolutional neural network model-based dangerous object image classification method. The method comprises steps: a platform based on a Caffe depth learning framework comprising multiple convolutional neural network models is built on a graphics processor; a training data set and a test data set with tags are prepared, and the above data sets are used for training the above convolutional neural network models on the graphics processor; dangerous object types in China civil aviation are listed; an original image and an image after being rotated for 180-DEG in the dangerous object types are inputted to the above well-trained convolutional neural network model, a top-5 test result is obtained, and thus dangerous object image classification is realized. The method of the invention has the advantages of strong intelligence, simple method, accurate classification, quick detection speed and the like, and can be applied to automatic classification on images containing China civil aviation dangerous objects.

In accordance with one embodiment, the present technique provides a testing apparatus for testing material integrity of an object. The exemplary testing apparatus includes a phased array transducer, which is disposed external to the object. The phased array transducer is configured to transmit a first set of ultrasonic signals and to receive a second set of ultrasonic signals. The testing apparatus further includes logic circuitry coupled to the phased array transducer. The logic circuitry is configured to dynamically control apertures for transmitting the first set of ultrasonic signals and receiving the second set of ultrasonic signals based on a region of interest and a testing speed.

The invention relates to an automatic software testing method based on business driving. Driven by business logic, business modularization is carried out on a tested software object, automated software testing function points are refined to business components and a method for testing business modularization is formed; a single type component is used on the basis of minimal granularity; a combination type component is used on the basis of a page area; hypertext markup language (HTML) codes of the combination component are realized in a component template; the combination type component comprises the component template, components and component regulation to form a business component library; an automated software testing tool tests the components of the business component library, and packages testing logic in data files in a form of keyword mapping table; explanation and use are carried out on keywords by the automated software testing tool; and the automated software testing tool calls an object function library to obtain the keyword mapping table, and the business component library carries out testing with the automated software testing tool by the keyword mapping table.

The invention provides a specific protein analyzer and an analysis method thereof. The specific protein analyzer comprises a power element, a control apparatus, a reaction disc used for mounting of a reaction cup, a sampling needle realizes sampling or sample feeding through rotation and upward and downward motion, an arc-shaped reagent disc and a test optical path system, wherein the reaction disc comprises a reaction disc main body and a reaction cup bracket, the reaction cup bracket is provided with a plurality of reaction stations, a sample feeding position is formed at the intersection of the reagent disc and each reaction station, the test optical path system comprises a detection light source module arranged on the reaction disc main body and a signal detection apparatus, and the power element comprises a first power driving the sampling needle to rotate to a reagent position for sampling or to a sample feeding position for sample feeding, a second power driving the sampling needle to carry out upward and downward motion, a third power driving the sampling needle to carry out sampling or sample feeding and a fourth power driving the reaction cup bracket to rotate. With the specific protein analyzer and the analysis method thereof, automatic testing and high-accuracy feeding are realized, a testing speed and testing efficiency are improved, and workload of testing personnel is reduced.

A tag testing device uses an infrared camera to take an image of a plurality of radio frequency identification tags, compares the image with a stored standard tag pattern image storage, and detects defective tags based on the comparison. A radio wave transceiver bulk reads the tags using anti-collision, a tag response counter counts a number of tag responses, and a defective tag detector compares a number of heat emitting tags based upon the image processing with a number of tag responses counted by the tag response counter. If the number of heat emitting tags does not match a number of responsive tags, a number of the tags tested are changed by partially shielding the tags and the radio wave transceiver repeatedly bulk reads the tags using the anti-collision function while a shielding range is gradually changed, thereby narrowing down other possible defective but heat emitting tags.

The invention provides an off-line handwritten Chinese character recognition method carrying out data expansion based on a deformation method. The recognition method comprises a step of building a platform on an image processor, wherein the platform is based on a Caffe deep learning framework including a plurality of types of convolution neural network models. Through elastic deformation, shearing and small-angle range rotation, a training data set is expanded, a test data set with tags is prepared, and the training data set is utilized to train the convolution neural network models on the image processor. The training data set is obtained by processing HCL2000 level-1 handwritten Chinese characters. Raw images of handwritten Chinese characters in an HCL2000 database are classified and subjected to elastic deformation, shearing and small-angle range rotation and then input into the convolution neural network models for network training. Finally, unknown Chinese characters are input into the models for testing and recognition results of the Chinese character images are obtained. The recognition method is highly intelligent, accurate in classified recognition, and fast in testing speed. The recognition method is good in recognition performance of low-weight databases and excellent in recognition capability of handwritten Chinese characters.

The invention discloses a segmentation method, device and equipment for lung segments and a storage medium. The method comprises the steps: obtaining a to-be-identified image and a corresponding lunglobe segmentation result; performing lung segment coarse segmentation on the to-be-identified image based on a lung segment coarse segmentation model to obtain a lung region segmentation result; determining a first sub-image corresponding to the lung region segmentation result in the to-be-identified image; determining a second sub-image corresponding to the lung region segmentation result in thelung lobe segmentation result; taking the first sub-image and the second sub-image as input of a dual-channel lung segment fine segmentation model, and performing lung segment fine segmentation on thefirst sub-image based on the dual-channel lung segment fine segmentation model to obtain a first lung segment segmentation result. By means of the technical scheme, lung segment coarse positioning can be rapidly conducted, the data acquisition speed is increased, the fine segmentation of lung segments only needs to be conducted on the lung region segmentation result obtained through coarse segmentation, the segmentation of lung segments is assisted through the lung lobe segmentation result, and the method is more accurate and efficient.

The invention provides a bladder tumor detection method based on MaskRcnn, At least that method comprise: a few pictures of medical bladder are collected as training samples, An image processing method is used to solve the problem of over-fitting caused by inadequate medical bladder training pictures which generate unbalanced sample data. The picture has a specific rectangular recognition frame which contains bladder position marker or tumor position marker or has both bladder and tumor position marker. A medical picture is characterized by utilizing a brand-new paramete ResNet debugged according to that invention, and a predicted ROI region is generate; The predicted ROI region represents the possible location of the bladder and tumor; The training speed and testing speed are effectivelyimproved by weighting ResNet operation. The coordinate translation and scale scaling of the region of interest are carried out by using the edge of the border. A target rectangular frame is obtained by using a non-maximum resistance. The invention uses artificial intelligence method, namely deep learning, which greatly reduces the repetitive manual operation of the traditional method and improvesthe speed and efficiency. An instanteous function is achieved.

The invention relates to the field of LXI instrument development and discloses an LXI instrument service monitoring method. The method solves the problem that more storage and operating space is needed caused by that same starting processes are performed repeatedly due to resource waste inside a server caused by the phenomenon that non-working processes still occupy table entries and system resources of a process list due to the fact that existing service methods are designed into a concurrent service mode. The method includes: monitoring preparation of a service request; adding socket descriptors to a descriptor set according to configuration file common socket descriptors; binding a port number and a wildcard IP (internet protocol) address to a socket interface of a corresponding server; and by the socket interface, invoking listen to accept the service request, invoking select for scanning, invoking accept for receiving, invoking fork to create a subprocess, converting the subprocess into a daemon process, and invoking exec to execute monitoring processes and specific service processes of the corresponding service process.

The present invention relates to a system for quickly detecting tunnel deformation, comprising a rail walking mechanism (1) disposed on a subway rail, and an acquisition system (2) disposed on the rail walking mechanism (1); wherein the rail walking mechanism (1) is a T-shaped walking platform, comprising a cross shaft (11), a longitudinal shaft (12) and a stand column (13); the cross shaft (11) and the longitudinal shaft (12) are connected to form the T-shaped platform; tread wheels (16) are disposed at the bottom of the T-shaped platform; one end of the stand column (13) is vertically connected with the cross shaft (11), and the other end of the stand column is used for configuring an operating platform (14) of the acquisition system (2); the acquisition system (2) comprises a fractional laser structured light source (21), industrial focus-fixed cameras (22) and a computer; and the computer is connected with the industrial focus-fixed cameras (22). Compared with the prior art, the quick detection device can effectively solve the problem of detecting cross section deformation of tunnels, the problem of transforming many different local coordinate systems to a global coordinate system, and the problem of unstable test data caused by movements.

The invention discloses a near-field antenna test system based on frequency division. An antenna to be tested is an array antenna, a phased array antenna or a reflector antenna. When the antenna to be tested serves as a receiving antenna, the near-field antenna test system comprises a signal source, a frequency conversion unit, a plurality of probes, the antenna to be tested, and a receiver. The signal source generates an initial signal. The initial signal is converted by the frequency conversion unit into a set of transmission signals which are sent to the plurality of probes to be simultaneously transmitted out. The frequencies of the set of transmission signals are different and are similar to the frequency of the initial signal. The electromagnetic waves radiated from the plurality of probes are simultaneously received and sent to the receiver by the antenna to be tested after subjected to space transmission. The received signals are detected by the receiver so that the amplitudes and the phases of different frequency components in the received signal are obtained. The method not only improves antenna test speed and test efficiency, but also has accurate test results.

The invention provides a memorizer testing device and a memorizer chip testing method. The relation that address spaces of invalid address memorizers of traditional memorizer testing instruments correspond to address spaces of tested chips one to one is changed. The address spaces of the invalid address memorizers are segmented into continuous stored record units. Each stored record unit does not store address data of bits passing tests any more and only stores address data of bits failing to pass the tests, including home addresses of quad-side contact where the stored invalid bits are located, relative addresses in the quad-site contact where the invalid bits are located in chips, address information in the chips where the invalid bits are located and the like. In this way, in the memorizer function testing process, invalid information of multiple chips are stored at the same time, and the utilization rate and the testing speed of invalid address hardware storage spaces are greatly increased.

The invention provides a PCBA board used for achieving PCBA board testing. The PCBA board is electrically connected with a display device through a signal connecting line, and the PCBA board is provided with a plurality of functional circuits and at least one programmable chip, and further comprises a CPU and a testing unit. The CPU is used for uploading a test program in a complete system program in advance, the complete system program is an operation system program of a device loading the PCBA board, and the testing unit is used for executing the test program to test the functional circuits and the programmable chip of the PCBA board. The CPU is further used for judging whether the functional circuits and the programmable chip are qualified or not according to the testing results fed back by the functional circuits and the testing result of the programmable chip of the PCBA board, and generating and sending corresponding control signals according to judgment results to trigger the display device to respond to the control signals to display the testing results. The invention further provides a corresponding system and method. According to the PCBA board, the system and the method, the test program is uploaded to the PCBA board in advance to carry out automatic testing and to display testing prompt messages, and therefore the testing speed and testing efficiency of the PCBA board are improved.

The invention relates to a probe card for a cantilevered probe wafer. The invention includes a circuit board, a probe ring connected with the circuit board, a plurality of probes connected with the circuit board and the probe card, and a sleeve sleeved on each probe. The sleeve comprises an inner dielectric portion and an outer conductive portion. The conductive portion of each sleeve is connected with the circuit board. As each probe is sleeved with a sleeve consisting of an inner dielectric portion and an outer conductive portion; and the conductive portion of each sleeve is connected with the relative voltage, the invention can effectively reduce the interference between probes and control the natural impedance of probes when used for detecting an integrated circuit. The invention also relates to a production method for the probe card and a method for positioning a plurality of probes.

The embodiment of the invention discloses a method for sending a bullet screen message, a server, a system, and a storage medium. The method comprises the steps that the server receives a bullet screen message request sent by a webpage terminal, wherein the bullet screen message request comprises a target bullet screen message and target client information; the server caches the target bullet screen message, and detects whether to receive an empty data packet sent by a target client or not according to the target client information, wherein all clients build socket word length connection withthe server in advance; the server adds the target bullet screen message to the empty data packet to generate a response packet when the empty data packet is received; the server transmits the responsepacket to the target client according to a target socket word object corresponding to the target client. According to the technical scheme of the embodiment of the invention, the method can achieve the active triggering of the bullet screen message, improves the transmission speed and development efficiency, reduces the concurrence quantity of the server, and alleviates the processing pressure ofthe server.

The invention discloses a double-CPU multichannel FT mass production test system and method. The system comprises a human-machine interface processing module, a handler control module, an open / short circuit detection module, a data storage module, a power control module, a test module, a statistical analysis module and an LCD touch display module, wherein the handler control module, the open / shortcircuit detection module, the data storage module, the power control module, the test module and the statistical analysis module are arranged in an ARM processor, and the human-machine processing module and the LCD touch display module are arranged in an LCD touch display unit. Through the test system and method, testing speed and data processing speed are greatly increased, the test system and method are not limited by the influence of an application terminal, data accuracy and repeated testing are realized, working efficiency is high, and the test system and method are beneficial for controlling batch delivery quality of products.

The invention relates to the field of optical fiber coating, in particular to a method for testing geometric parameters of optical fiber coating layers. The method for testing the geometric parameters of the optical fiber coating layers includes the steps: stripping each coating layer from the end face of each optical fiber coating layer to the rear by a proper length and irradiating into the coating layer from a stripped position by a light source; conducting the light source by the coating layer and lighting up the end face of each optical fiber coating layer; and projecting images of the end faces of the optical fiber coating layers into an imaging system. The layers can be distinguished according to different attenuation coefficients of materials of the coating layers and different angles of light incidence. The geometric parameters of the end faces of the optical fiber coating layers are tested by the method, the testing speed and the testing accuracy of a geometric parameter tester for the optical fiber coating layers are greatly improved, and the testing accuracy of the geometric parameters of the primary coating layer is particularly improved.

The invention discloses a test method and a test device of communication terminals. The test method includes a sub process of carrying out tests for a communication terminal group to be tested and provided with at least two communication terminals, and the test sub process includes carrying out a receiver test for the communication terminals in the group. The receiver test includes: all the communication terminals in the group carry out receiver test initializing and receive test instructions sent by a general computer in non-signaling mode, and then a test instrument is used for carrying out the receiver test on the initialized communication terminals side by side. The general computer is used for sending the test instructions to the communication terminals in non-signaling mode and the test instrument is used for carrying out the receiver test on the plurality of communication terminals side by side so that test speed and test efficiency are effectively improved, and test cost is reduced.

The invention relates to the field of medical instruments, and provides a full-automatic fluorescence immunoassay analyzer. The analyzer comprises a sample adding mechanism, a reagent card bin, a signal acquisition mechanism, a sample feeding mechanism and a buffer liquid bin; the sample feeding mechanism is movably arranged on one side of the reagent card bin, and is used for conveying test tubesplaced on the sample feeding mechanism to a preset position; the reagent card bin is provided with at least one reagent card position, and a scanning window is formed in the position, opposite to a scanning area on a reagent card, of each reagent card position; the signal acquisition mechanism is movably arranged below the reagent card bin so as to obtain the information of the scanning area on the reagent card; the buffer liquid bin is slidably arranged on the other side of the reagent card bin, and the buffer liquid bin is provided with at least one buffer liquid level; and the sample feeding mechanism is movably arranged above the reagent card bin. According to the full-automatic fluorescence immunoassay analyzer, the reagent card bin and the buffer liquid bin are arranged in the analyzer, the automation level of the analyzer is improved, and meanwhile, the testing precision and the testing speed of the analyzer are improved.

The invention relates to a system for automatic test of 1 dB compression points in a high-power radio frequency power amplifier module and a method thereof. The system comprises a signal source, a frequency spectrograph, a personal computer, a switch, an isolator, an attenuator, and a testing control panel; wherein the signal source, the frequency spectrograph and the personal computer constitute a local-area network via the switch, the signal source provides input power signals to a power amplifier module to be tested, the frequency spectrograph obtains the output power of the power amplifier module to be tested and reports to the personal computer to compute gains, and hereby the personal computer computes the next output power of the signal source and searches 1 dB compression points in the power amplifier module to be tested by using the principle of dichotomy after the power amplifier module to be tested enters a nonlinear operating area. The inventive system can realize automatic test of 1 dB compression points in the high-power radio frequency power amplifier module with no damage on power amplifiers and remarkably improved test speed and progress; and the testing error is controlled to be 0.1 dB, and the testing time of each power amplifier module is shortened to be 30 seconds.

A test handler for picking up semiconductor devices from a conveying system and placing them at testing positions and returning the tested devices to the conveying system efficiently and modularly is shown. The basic apparatus has two concentric shafts each connected at one end to a cam following assembly and at the other end to a pick and place arm. The assembly has a block with a center bore for accommodating a ball screw and a longitudinal channel for receiving a lever cum cam follower subassembly connected to one end of the concentric shafts. The cam follower assembly and the concentric shafts translate the rotational movement of the ball screw into radial movement of the pick and place arms between the conveying system and the test rig. Another pick and insertion assembly associated detachably with the pick and place arms alternately picks up semiconductor devices from the conveying system and places them in position for testing. At the same time, tested devices are returned by the pick and insertion assembly to conveying system in the same cycle. Each of the pick and place arm features a quick change plate for accommodating a variety of semiconductor device sizes. As such, the present invention handles the testing of semiconductors efficiently and modularly.