355results about How to "Guaranteed testing" patented technology

An apparatus for cooking food (10) includes a casing (14), a lid (20) and at least a support unit (11). The casing (14) has a compartment in which to insert a container (12) which may be temporally associated with the support unit (11), and the support unit (11) may be configured to temporally support the container (12) with respect to a support plane. The apparatus for cooking food (10) also includes a first heating unit (16a), a second heating unit (16b), a third heating unit (16c) and a weighing unit (18) associated with a control unit (36).

The invention discloses a cleaning and appearance detecting machine and a detecting technology thereof. The cleaning and appearance detecting machine comprises a material belt, a feed-discharge carrying mechanism, a rotary table, a feed-discharge station, a working station, a jig rotation driving mechanism, a jig clamping limiting mechanism, a product cleaning mechanism, a product wiping mechanism and a product appearance detecting mechanism, wherein the material belt is arranged at the outer side part of a rack; at least two products are placed on the material belt at intervals; the rotary table is arranged on the rack; the feed-discharge station and the working station are arranged in the periphery of the rotary table at an interval; product jigs are arranged on the feed-discharge station and the working station; the feed-discharge carrying mechanism is arranged on the outer side of the feed-discharge station; the jig rotation driving mechanism and the jig clamping limiting mechanism are arranged on the working station; the product cleaning mechanism, the product wiping mechanism and the product appearance detecting mechanism are arranged on the working station. The cleaning and appearance detecting machine detects the surface and appearance of a product in a full-automatic manner, and is compact in structural design and high in degree of automation, detecting efficiency and quality.

The invention discloses a deep learning method-based automatic pulmonary nodule detection method. The method comprises the following steps of: a, preprocessing: acquiring CT files of a plurality of patients so as to form a data set, and making the CT file corresponding to each patient to a CT file comprising 100-600 slices, wherein a pixel separation distance of each slice is 1*1*1 mm, and the size of each slice is 512*512 pixel; b, lung area image extraction: carrying out pixel value binarization on the CT file of each patient on the basis of a Heinz unit value so as to obtain a mask map of alung area, and extracting a lung area image according to the mask map; c, pulmonary nodule detection: detecting a U-Net convolutional neural network to carrying out pulmonary nodule detection on thelung area image so as to obtain a U-Net training model; and d, false positive rate reduction: training a deep residual network to get rid of false positive points of pulmonary nodules in the U-Net training model so as to obtain a detection model, and carrying out automatic pulmonary nodule detection on the CT files of the patients by using the detection model. The method is high in automatic detection precision.

The invention discloses a system and method for testing automotive electronic diagnostic software, which is characterized in that the system comprises a diagnostic Tester packet, an electronic control unit (ECU) model platform and a communication interface, wherein the diagnostic Tester packet comprises a display / analysis module, a sending / receiving information module, a bus information monitoring module and a Tester communication module; the ECU model platform comprises a simulation ECU application module, a simulation ECU system module, a diagnostic module, a storage module and a platform communication module; the communication interface is used for connecting the diagnostic Tester with the ECU model platform, and converting communication buses with different types into consistent communication buses for transmitting the communication information; and the sending / receiving information module sends a diagnostic service request and receives a diagnostic service response by the Tester communication module, and transmits diagnostic service request data and diagnostic service response data to the display / analysis module. By using the system and method for testing the automotive electronic diagnostic software, the diagnostic software can be diagnosed and tested at any time, thus reducing the workload of developers and greatly improving development efficiency.

The invention discloses an offshore scene significance detection method. The method comprises the following steps of: 1, extracting an offshore scene image sequence; 2, transferring each frame image to the CIELab colour space, and extracting the characteristic pattern of luminance and colour passages; 3, using the absolute value of the difference between the extracted characteristics and the global mid value as the global significance map; 4, using the absolute value of the difference between the characteristics and the local mean value filtration as the local significance map; 5, combining the global significance map and the local significance map of the characteristics to obtain an overall significance map; 6, linearly combining the significance maps of the colour passages of frame images, and respectively combining the combined significance maps with the luminance significance maps to form an overall significance map; 7, accumulating by using each frame detection result as the centre and modifying the significance map of the current frame; and 8, converting the overall significance map into a binarization image to obtain an offshore scene significance target area. By adopting the method, the significance area in the offshore scene can be extracted rapidly, and the interference of sea noise wave can be favorably inhibited. The method is simple in implementation, and is suitable for real-time application.

The invention belongs to the field of security tests for computer software, and provides a dynamic symbol executing method for relieving path explosion. The method aims to solve the problem of path explosion and can remove redundancy constraining conditions generated during circulation of an executing process of a program by means of a mapping and acquiring process for the constraining conditions generated by execution of symbols on a static decision diagram of the program, so that the problem of path explosion caused by the circulation of execution of the dynamic symbols is eliminated. The dynamic symbol executing method is applied to tests for software.

It has been found that target optics produce non-specular, augmented optical returns when interrogated by a laser pulse. This non-specular radiation is detected by an active laser search system employing a direct-reading, thresholded focal plane detector that is able to detect non-cooperating targets with optics that employ a detector or optical element at the focal plane of their receiving optics. The pulses returned from such target optics have a width commensurate with the original transmitted pulse width, whereas passive background noise and the spread out active returns from the ground exhibit temporally long returns. By setting the sensor threshold sufficiently high, the system discriminates against noise and clutter while at the same time reducing the number of sweeps required to detect a target within the search area.

The invention provides a detection method for veterinary drug residues. The detection method comprises the following steps of (1) treating a sample: pretreating the sample to be detected, adding an extracting agent, and performing treatment by multiple steps to obtain supernate, wherein filtrate obtained by filtration on the supernate is used for UPLC-MS / MS (ultra performance liquid chromatography-mass spectrum / mass spectrum) measurement; (2) measuring the veterinary drug residues: performing UPLC-MS / MS measurement on the obtained sample under a certain measurement condition. The detection disclosed by the invention has the characteristics of high sensitivity and high specificity and can conform to the detection on the veterinary drug residues.

The invention discloses an automatic detection method for a Chinese character area of a shop sign in a natural scene. The automatic detection method comprises the following steps of: A, acquiring vectors V1 and V2 which reflect main pixel colors of a sampling region image; B, determining a background outline of an original image by using the vectors V1 and V2; C, dividing an HSV (Hue, Saturation and Value) color space into eight color spaces including black, white, red, yellow, green, cyan, blue and fuchsine; C, carrying out color separation on an original image to obtain eight color distribution binary images; carrying out Chinese character connected area analysis on the eight color distribution binary images to obtain eight text line binary images; F, filtering text lines, which do not conform to a Chinese character writing rule, in each text line binary image to obtain refined Chinese character areas; G, mixing the refined Chinese character areas of different colors to obtain a Chinese character area of the original image. By using the automatic detection method for the Chinese character area of the shop sign in the natural scene, the detection accuracy of the Chinese character area can be efficiently improved, the automatic detection method has significant importance for application of Chinese character recognition in the natural scene.

A device and method for detecting a defect in a finish ring of a glass article are described. The actual position of the finish ring is measured and enables a photographic device to be accurately positioned in relation to the finish ring, whereby the optical axis of the photographic device passes through the center of the finish ring. A sample of the finish ring is made and processed via an analyzing device configured so as to automatically detect an optical signature of the defect.

The invention relates to a radar interference inhibition method and particularly relates to a radar dense false target interference inhibition method. The radar dens false target interference inhibition method comprises steps of importing orientation video data of an object to be detected which is scanned by the radar, calculating the orientation noise power of the object to be detected to obtain a noise evaluation value, recognizing interference, perceiving the interference environment and positioning the interference source, 3 identifying the interference, performing signal statistic analysis on the radar scanning video data in the interference field, determining whether the dense false object interference exists, 4 inhibiting the interference, adopting the frequency domain filtering technology to perform interference resistance processing on the dense false object interference data, 5 detecting an object, adopting CFAR to process the object data to be detected which has gone through anti-interference inhibition, and 6 performing tracing and track correlation on the object to be detected to finish the tracking of the object. The radar dense false target interference inhibition method can guarantee the normal operation of the radar under the interference of the dense false objects and identifies whether the false objects exist through the characteristic analysis.

The invention relates to a sampling circuit which is used in three level PFC circuit and voltage sampling method, aiming at solve the problem that high frequency noise of capacitance midpoint in current circuit can be transferred to the ground (GND) which is connected with it affect the control circuit, in the sampling circuit of the invention, the midpoint of the resistance R2, R3 is connected with ground all the way, but the midpoint of the generatrix capacitance C1,C2 and the ground are cut structure, so the high frequency noise of capacitance midpoint can not be transferred to the control ground. Aiming at obtain the generatrix voltage and the voltage difference between the generatrix capacitance C1,C2, the invention regards the ground as reference point, the midpoint of resistance R1,R2 is sampled to obtain the Vp, the midpoint of resistance R3,R4 is sampled to obtain the Vn, the midpoint of capacitance C1,C2 is sampled to obtain the VDelta, based on the three voltage value, the relative generatrix voltage and voltage difference between the generatrix capacitance C1,C2 can be obtained.

A map of area is created based on natural landmarks (14,16), and the preset route along which the vehicle (10) is to move is set. The landmarks that serve as a route along preset location is determined, and the environment (12) is scanned at different times using a sensor (22) for detecting the preset landmarks while the vehicle moves along preset route. The vehicle is located by comparing the detected landmarks with destination shown on map landmarks. The speed and / or direction of rotation of sensor motor (24) are controlled such that sensor is aligned on few preset landmarks.

The invention discloses a stereo garage entrance vehicle detection prompt method and an achieving device of the method, and belongs to the technical field of vehicle detection. The detection and prompt method comprises over-height, over-length and over-width detectionprovides voice prompt and LED screen text prompt are provided, detection for vehicle types is covered as many as possible, and it is guaranteed that when a driver drives a vehicle to enter a garage acoustically and visually, the driver can know the current state of the vehicle. The detection prompt device comprises a stand column A, a stand column B, a stand column C, a stand column D, a transverse rod A, a transverse rod B, a longitudinal rod A, a longitudinal rod B, a loudspeaker, a first LED screen and a second LED screen, and cross correlation type photoelectric switches with the needed quantity. According to the stereo garage entrance vehicle detection prompt method and the achieving device of the method, a short-distance grating and multiple sets of correlation type photoelectric switches are adopted, the detection range is increased, and it is guaranteed that vehicles of most types can be detected; meanwhile, the detection prompt device comprises a voice prompt system and an LED screen text display system, and door-open detection of the vehicle entering the garage is completed through the correlation type photoelectric switches.

The invention discloses a high-flux police dynamic face acquisition comparison method and system. The method comprises the following steps: 1, rapidly detecting and snapshooting dynamic faces; 2, performing background system analysis; 3, performing three-dimensional rectification restoration; and 4, performing image preprocessing, feature extraction and comparison. According to the high-flux police dynamic face acquisition comparison method and system related to by the invention, for such features as many police portrait data image types, large quality differences, large data scale, diversified application scenes and the like, through a high-accuracy and rapid portrait feature extraction and comparison method, in a portrait comparison process, image deviations generated by the faces due to postures, decorations, illumination, focusing and the like are overcome, rapid and accurate comparison of face features is realized, a face identification technology is enabled to play an important role in actual application, and the method and system have application prospect.

A distributed power supply system is configured to execute a process for determining whether or not to permit a diagnostic process in such a manner that it is determined whether or not a difference between a set upper limit value and an actual measurement current value is not less than a load current value, the set upper limit value being a predetermined upper limit value set with respect to a detected current of a current sensor, the measurement current value being detected by the current sensor in a state where the diagnostic process is not executed, and the load current value being a value of a current flowing from a commercial power utility to a power load during execution of the diagnostic process; and if it is determined that the difference is not less than the load current value, the controller permits the diagnostic process.

The invention relates to an electrochemical detection method for measuring the concentration of trivalent arsenic in a water system without electricity enrichment, which comprises utilizing a three-electrode system which is formed by a gold electrode, a reference electrode and a counter electrode to oxygenize the surface of the gold electrode to be gold trioxide in a detection pool, immersing gold trioxide into beta-D-glucose solution, deacidizing gold trioxide to be a nano-gold film, immersing gold electrode into 0.1M phosphate buffer solution (the concentration detecting range is 10.0nM-5.0muM) which is contained with trivalent arsenic under test, adsorbing trivalent arsenic through the nano-gold film, leading arsenic to be enriched on the surface of the nano-gold film, inserting the gold electrode and the reference electrode which are enriched with arsenic into the electrochemical detection tank, starting an electrochemical working station to scan, leading arsenic which is enrichedin the process of scanning to do redox reaction on the surface of the gold electrode, getting the oxidation peak current value which has corresponding relationship with trivalent arsenic, thereby measuring the concentration of arsenic solution, achieving the detection of trivalent arsenic in high sensitivity, and solving the problem of applying high-concentration acid medium.

The present invention discloses a demand trigger image acquisition method and equipment suitable for detecting spherical fruit surface. Said equipment includes the following components: coder, chain wheel, chain conveying device, lighting box, trigger controller, camera, image acquisition card, computer and machine visual system formed from fruit rotating-speed controller, etc. Said invention also provides the concrete action and function of the above-mentioned every component, and the concrete steps of said demand trigger image acquisition method.

The invention discloses a switch clock synchronization controller and a control method for a time-triggered network. The switch clock synchronization controller comprises a curing module used for restoring a PCF frame sending sequence, a compression module used for calculating an SM clock deviation average value, an optimal compression point selection module, a local clock module used for correcting a local clock and generating a new PCF frame, a cluster detection module used for detecting a network state and a state machine control module used for coordinating the work of the modules. The curing module imports a transparent clock for identifying the transmission delay and a maximum transmission delay for restoring the sending sequence and moments of the PCF frames for solving the problem of lagged clock synchronization; the compression module adopts a hardware mode to realize a three-level streamline dynamic compression algorithm for improving the calculation precision and efficiency of clock synchronization; and a compression point having the largest member number and closest to a receiving window end moment is used as the optimal compression point to ensure that all nodes in a synchronization state in the network can be detected.

The invention discloses a method for extracting a suspected flame region based on infrared light and visible light images, and relates to the field of computer vision. In this method, brightness threshold segmentation is performed on a collected infrared image to obtain a suspected high-temperature flame region; at the same time, the infrared image and a visible light image are image-registered toobtain an affine transformation matrix, and the position of the suspected high-temperature flame region on the visible light image is obtained by combining the suspected high-temperature flame regiontherewith; and finally, a suspected flame region is obtained by flame segmentation based on the YCrCb color space, morphological processing, and connected component labeling. The method can effectively extract the more accurate suspected flame region, can guarantee the detection of the suspected flame region in the night environment at the same time, and is conducive to the all-weather flame detection.

The invention relates to an industrial part detection method based on a YOLO v3 neural network. The method comprises the following steps: step 1, collecting an industrial part video sample; step 2, acquiring a single-frame image of the video sample of the industrial part acquired in the step 1, forming a basic data set, performing data enhancement on the images of the basic data set to form an industrial part data set, labeling the position and category information of the industrial parts in the industrial part data set, and dividing the labeled industrial part data set into a sample trainingset, a verification set and a test set; step 3, generating a trained convolutional neural network detection model of the industrial part; and step 4, inputting the test set into an improved industrialpart convolutional neural network detection model to obtain a detection result. According to the invention, operations such as detection and classification of industrial parts can be quickly and efficiently identified in a dynamic environment.

The invention relates to a built-in very-high-frequency partial discharge detection device and method. The built-in very-high-frequency partial discharge detection device comprises a very-high-frequency current transformer, a signal acquisition module and a signal processing module. According to the technical scheme of the invention, the installation position of a current transformer (CT) ring is optimized through optimizing an HFCT (High-Frequency Current Transducer) into a VHFCT (Very-High-Frequency Current Transducer), and the CT ring is installed inside a cable joint; and a copper mesh wound outside a semiconductor layer is enabled to directly penetrate through the CT ring and is then connected with a cable armoring grounding cable. Measurement is performed at a partial discharge signal generating point in situ, so that very-high-frequency characteristics of partial discharge are ensured, and the accuracy of cable partial discharge detection is enabled to be greatly improved.

The invention discloses a detection method and device of downlink primary synchronization signals in an LTE system. The method includes the following steps that: a frequency deviation value is pre-added to a receiving sequence X (n), so that a sequence Y (n) can be formed through combination; the sequence Y (n) is processed by a low-pass filter, so that a sequence Z (n) can be formed; x-times extraction is performed on the sequence Z (n), m sets of data sequences of which the length is y can be generated; z sets of sequences are selected from the m sets of data sequences, and sliding correlation is performed on the z sets of sequences and one set of local sequence; a maximum value is found out in all operation results of the sliding correlation, the maximum value is compared with a preset threshold value; if the maximum value is larger than the preset threshold value, the maximum value is a correlation peak value, and a time counter is zeroed; if the maximum value is smaller than or equal to the preset threshold value, and the counting of the time counter achieves a full frame cycle, the frequency deviation value is updated, and the correlation peak value is searched again; and the primary synchronization signals are positioned according to the correlation peak value. With the detection method and device of the invention adopted, when large frequency deviation occurs on a system, frequency deviation correction is automatically carried out, and detection of the PSS (primary synchronization signals) can be ensured.

The invention provides a reference signal transmission method and device. The method comprises the following steps that a base station configures channel-state information reference signal (CSI-RS) resource parameters for a terminal and sends the channel-state information reference signal resource parameters to the terminal; and the base station sends a CSI-RS to the terminal according to the CSI-RS resource parameters, wherein the base station maps the CSI-RS to a time-frequency resource corresponding to a CSI-RS port index number according to the CSI-RS port index number and carries out transmission. By the adoption of the technical scheme, a problem of large false selection probability of a precoding vector, which is caused by a CSI-RS measurement error in the correlation technique is solved, the terminal is guaranteed to carry out detection on the CSI-RS according to the resource parameters issued by the base station, the transmission stability is improved, and the false selectionprobability is greatly reduced.

The invention discloses a surface wave detection method for a longitudinal defect on the outer surface of a small-diameter tube. The method comprises the following steps: 1), cleaning the outer surface of a to-be-detected small-diameter tube and coating the small-diameter tube with a coupling agent; 2), arranging a surface wave probe on the to-be-detected small-diameter tube; 3), selecting a comparison test cube of the to-be-detected small-diameter tube and cutting a groove in the surface of the comparison test cube of the to-be-detected small-diameter tube; 4) using the comparison test cube of the to-be-detected small-diameter tube to perform horizontal line calibration on an ultrasonic instrument; 5), adjusting the detection sensitivity of the ultrasonic instrument; 6), adjusting the ultrasonic instrument to enable the propagating direction of surface waves emitted by the surface wave probe to be perpendicular to a bus-bar of the to-be-detected small-diameter tube, and using the surface wave probe for scanning on two side surfaces of the to-be-detected small-diameter tube sequentially; determining that a surface longitudinal defect with the depth larger than A mm is formed in the current detection position of the to-be-detected small-diameter tube when reflected waves with the wave amplitude higher than B% are fully displayed on a display screen of the ultrasonic instrument. According to the surface wave detection method, detection of the longitudinal defect on the surface of the small-diameter tube can be realized, and the defect can be positioned accurately.

The invention relates to a delivery unit of a sheet-processing machine having a sheet-conveying system that transports sheets to a delivery stack and having a sheet front edge of the sheets at at least two front edge stops. The invention further relates to a method for operating a sheet-processing machine, in which at least one detection unit is provided, which monitors the position of the sheets in a contactless manner, and in which the at least one detection unit is designed to monitor at least one point that is downstream in the sheet transport direction of a stop plane spanned by the at least two front edge stops. The problem addressed by the invention is that of creating a delivery unit of a sheet-processing machine. In particular, the delivery unit is designed in such a manner that damage caused by entrained sheets can be reliably excluded and the efficiency of the machine is increased. According to the invention, the problem is solved in that the at least one monitored point (P) lies within a region (B) that extends 100 mm in the sheet transport direction (15), starting from the stop plane (e).

The invention discloses a monoclonal antibody for an African swine fever virus gene II type strain as well as a preparation method and application thereof. The preparation method of the monoclonal antibody for the African swine fever virus gene II type strain comprises the following steps: immunizing a mouse by adopting a purified p54 immune protein, fusing spleen cells of the immunized mouse with myeloma cells to prepare hybridoma cells, screening with three screening antigens so as to obtain the hybridoma cells which can stably secrete a monoclonal antibody, and then preparing the monoclonal antibody by adopting an in vivo or in vitro method, wherein the three screening antigens comprise a prokaryotically expressed p54 recombinant protein, an eukaryotically expressed p54 recombinant protein and an artificially synthesized polypeptide shown in Seq ID No.1. The preparation method of the monoclonal antibody for the African swine fever virus gene II type strain has the advantages that the three screening antigens are adopted for screening the hybridoma cells, and especially a special artificially synthesized polypeptide for the gene II type strain is adopted as the screening antigen, so that the prepared monoclonal antibody can guarantee the detection rate of the gene II type strain, the misdetection rate is reduced, and the quarantine working quality and efficiency are improved.

An object of the invention is to safely execute a sudden door opening operation in course of door opening, in a mover opening / closing control device. To solve the above problem, the mover opening / closing control device of the invention comprises an openable / closable mover for a main body, a drive means (4) for driving the mover, an input means (1) for commanding the mover to open / close, a flexible cable-like piezoelectric sensor (29) for detecting trapping caused by the mover, and a control section (35) for controlling them, wherein the operation is controlled such that when a door closing command is issued from the input means (1) in course of door opening, the door closing operation is delayed until the mover reaches a predetermined door opening position, whereby it becomes possible for the operator to visually confirm the outside of the mover in response to the sudden door closing command in course of door opening, so that the danger of trapping in the mover can be prevented.