44results about How to "Accurate and efficient judgment" patented technology

The invention discloses a malicious information transmission preventing method and system of a mobile intelligent terminal. The method comprises the following steps of: judging, namely judging whether an information transmission object is in a preset blacklist or whitelist or not when the application program of the mobile intelligent terminal is about to transmit information; and processing, stopping the transmission of the information if the information transmission object is in the preset blacklist and allowing the transmission of the information if the information transmission object is in the preset whitelist, wherein the blacklist is a list of application software untrusted by the mobile intelligent terminal, and the whitelist is a list of application software trusted by the mobile intelligent terminal. By applying the method and system disclosed by the invention, the transmission of the malicious information can be efficiently prevented.

The invention discloses a workpiece position tracking positioning method, comprising steps of defining a plurality of monitoring areas in the workshop and arranging cameras in the monitoring areas, transmitting video images collected by the camera to the computer and performing moving object identification, choosing a scanning area corresponding to the read-write distance of an ultra-high frequency RFID reader-writer in each monitoring area according to the read-write distance of the ultra-high frequency RFID reader-writer, determining the position information and the processing state of the workpiece and uploading the obtained information to an MES production management system. The invention can provide the state information like the reliable workpiece position, processing procedur, etc., uploads the collected data to the workshop MES production management system, replaces the traditional artificial operation, and effectively improves the efficiency of the industrial production management.

The invention discloses a judgment method for automobile driving stability on the basis of speed and gyroscope data. On the basis of the speed and the gyroscope data of an automobile, a mathematical model is established, and the accurate automobile driving accelerated speed of an accelerated speed sensor method used in the prior is solved. On the basis, heading direction accelerated speed and yawangle speed are aimed to define three variables used for carrying out statistics and judging rapid acceleration, rapid slowdown and sharp turn events. In an automobile driving process, the values of the variables of rapid acceleration, rapid slowdown and sharp turn events are independently subjected to statics. According to the values of rapid acceleration, rapid slowdown and sharp turn events, automobile driving stability is accurately and efficiently judged, and therefore, an improvement advice is put forward for the bad driving behavior of a user.

The invention belongs to the field of video monitoring and provides a method and device for monitoring dangerous goods transportation vehicles at a traffic intersection. The method includes the steps that video streaming is collected and is converted into continuous frame images; after scene calibration and foreground extraction are performed on the image of the current frame, whether the foreground information of the image of the current frame contains a pure square area dangerous mark or a pure round area dangerous mark is detached, and then warning information is output. The method and device for monitoring the dangerous goods transportation vehicles at the traffic intersection can accurately and effectively judge whether dangerous goods transportation vehicles appear in shot vehicle passing videos, and do not need manual video detection, so the labor cost is greatly lowered; in addition, the requirements for processing capacity of hardware equipment are low, so the investment cost of the hardware is low, and the method and device can have wide applicability.

The invention discloses a memory page management method and a memory page conversion method for a GPU (Graphics Processing Unit), the memory page management method comprises the following steps: nesting a small physical page in at least one physical page, the memory of the small physical page being smaller than that of the physical page; adding a nested page flag bit with a preset memory size in the page table item of the TLB, wherein the nested page flag bit is used for representing whether a small physical page is nested in a physical page corresponding to the page table item of the current TLB or not and used for representing whether the virtual address hits the physical page corresponding to the page table item of the current TLB or not; and performing virtual and real address conversion according to the adjusted TLB. According to the memory page management method and the memory page conversion method for the GPU, the use efficiency of the memory space can be improved, the storage cost is reduced, and the memory fragmentation problem in the multi-task GPU is reduced.

The invention discloses a method for testing consistency of FRU information. The method comprises the steps that the FRU information is written into a text file, and an FRU refreshing script is executed to refresh the FRU information; the refreshed FRU information is compared with the FRU information in the text file, and whether the FRU information is successfully refreshed is judged. According to the method, whether the FRU information is consistent can be judged by directly checking text file content, manual checking is avoided, and working efficiency and accuracy are improved.

The invention discloses a coral reef bleaching remote sensing monitoring method based on a time series satellite image. The coral reef bleaching remote sensing monitoring method comprises the steps: building an optimal space-time change feature combination set of coral reef bleaching remote sensing monitoring through the time sequence satellite image; performing coral reef bleaching satellite remote sensing monitoring based on a change detection method in combination with a sea temperature remote sensing monitoring product; and evaluating the coral reef bleaching change detection precision based on field verification data. The coral reef bleaching remote sensing monitoring method has the beneficial effect that the coral reef bleaching condition can be accurately and efficiently monitored and judged.

The invention relates to the field of health examination and evaluation, in particular to a scanner, a foot information analysis system and method. The foot information analysis system comprises a data processing device, a terminal device and the scanner, and the data processing device is respectively connected with the terminal device and the scanner in a communication manner. A foot information analysis method is applied to the data processing device and includes the steps: responding operations of a user; transmitting starting commands to the scanner, and starting the scanner; enabling scanning devices to move on a transmission component in different directions, scanning and acquiring foot images of a detector, and transmitting the foot images to the data processing device; receiving the foot images scanned and acquired by the scanner; processing and analyzing the foot images; judging foot types of the testers according to processing and analyzing results. According to the scanner, the foot information analysis system and method, the foot types of the testers can be accurately and efficiently judged.

The invention, which belongs to the field of intelligent identification in the machine vision industry, discloses a method for realizing blank page detection based on morphological transformation. Themethod is characterized by realizing automatic detection on a blank page rapidly and accurately based on the morphology. According to the basic principle, morphological top hat transformation is carried out on an original image to remove a background part of the image; mean value filtering is carried out by using a structure element with a font size; and then according to a proportion of points with grayscales exceeding a certain threshold value in the image, determining whether a current page is a blank page. According to the method disclosed by the invention, with focus on a detection speed, the method employs some effective ways with simple principles. And the experiment results show that the method disclosed by the invention has high-efficiency and quick effects, high identification precision and great practical value.

The invention provides a motor noise source identification method and system based on a sound quality contribution coefficient. The motor noise source identification system comprises a noise signal acquisition module, a sound quality prediction module and a sound quality contribution identification module. The noise signal acquisition module is used for acquiring a motor body noise sample and an in-vehicle ear-side noise sample. The sound quality prediction module performs subjective evaluation and psychoacoustic objective parameter calculation on the noise sample beside the ear in the vehicle, performs correlation analysis on the subjective evaluation and psychoacoustic objective parameter calculation, and establishes a GA-BP neural network sound quality prediction model. The sound quality contribution identification module performs modal decomposition and blind source separation on a motor body noise sample, obtains a plurality of independent noise signal components, obtains a plurality of independent noise signal components, and respectively calculates psychoacoustic objective parameters of each independent noise signal component, substitutes the parameters into the sound quality prediction model to obtain the sound quality of different noise signal components, then calculates the sound quality contribution coefficient of each noise signal component, and determines the soundquality contribution of different types of noise of the motor. According to the method, the motor noise is decomposed into a plurality of independent noise sources, and the sound quality contributioncoefficient is used as an evaluation index, so that the subjective feeling of human ears on the motor noise is reflected, and the main noise source of the motor is accurately and efficiently judged.

A gas appliance judgment apparatus and method by which a type of gas appliance in use and the existence of a gas leak can be identified. In operation, noise is removed from measured instantaneous flow volume, whereupon the “length”, “initial flow volume” and “sequence of transited regions” of the variable portion of the flow volume and the “length”, “average value” and “gradient” of the flat portion of the flow volume are extracted. A rule having characteristics data which matches the characteristics of the variable portion and the flat portion of the flow volume is then searched, and points are added respectively for the type of gas appliance and for the existence of a gas leak. When the added points are not less than a previously established threshold value, then the type of gas appliance in use is determined, and appliance type information is output as a judgment result.

The invention relates to a geological disaster early warning method based on feature code image pose detection, and the method comprises the steps: arranging feature codes and a monitoring camera, the feature codes are disposed on a to-be-monitored slope, at least one feature code exists in the field of view of the monitoring camera, and the monitoring camera is used for shooting the feature codes in real time, forming a monitoring image group according to different shooting time, wherein the monitoring image group comprises a plurality of feature code images; setting a feature code reference image and a standard deviation threshold value; and calculating the offset of the positions or postures of the feature code image and the feature code reference image, and if the offset is greater than a standard offset threshold, performing disaster early warning. The monitoring camera is arranged to shoot the feature code, the safety state of the side slope to be monitored is predicted according to the position and posture change of the feature code in the time change process, side slope geological disasters can be pre-warned without depending on other equipment, the pre-warning cost is low, and the pre-warning efficiency is high.

The invention discloses a running-in state identification method based on a frictional temperature signal, comprising the following steps: transmitting a temperature signal acquired by a thermal resistance to a data acquisition system by virtue of a temperature transmitter, then sequentially performing gross error removal, wavelet denoising, phase space reconstruction and nonlinear coordinate calculation, constructing a coordinate graph, plotting points, and finally performing a clustering algorithm, when the calculated nonlinear coordinates are of the same type for three times in succession and are different from an initial point in the type, judging running-in to be finished, otherwise, judging the running-in to be unfinished. The method disclosed by the invention can effectively measurerunning-in condition of a friction pair in a frictional wear process. The measured temperature signal is subjected to the gross error removal and wavelet denoising, thus signal effectiveness is guaranteed; and due to the phase space reconstruction and calculation of the nonlinear coordinates, the problems that the conventional data measurement is tedious and period is long are avoided; and finally clustering computation is performed, thus a running-in state of the friction pair can be efficiently judged.

The invention discloses a judgment method for a tool-workpiece contact area. The judgment method mainly comprises the following steps of: separately establishing a tool coordinate system and a workpiece coordinate system, and determining description, in the two coordinate systems, at the same moment of a cutting edge differential element; determining whether the cutting edge differential element is outside a workpiece processing surface or not; determining whether the cutting edge differential element is under the lowest point of a last cutting edge period or not; determining whether the cutting edge differential element is within a front cutter tooth enveloping surface or not; and according to the step, determining whether the cutting edge differential element is within an effective contact area or not. The algorithm adopted by the technical scheme overcomes the defects such as low efficiency and a complex process in the prior art, has the characteristics of short calculating time and high predicating precision, can integrate efficiency and precision better in aspect of five-axis complex curved surface processing, and greatly optimizes a calculating process of tool cutting force.

The invention provides a dual-layer resin tooth for oral tooth body preparation training, belongs to the field of oral medicine, and relates to dual-layer resin teeth. By means of the dual-layer resintooth, the technical problems that the preparation quantity is insufficient or excessively large, the polymerization degree is too large, and the edge is not smooth or continuous when a student has difficulty in accurately and efficiently controlling the tooth body preparation quantity and the shapes of preparation bodies in the actual operation process can be solved; by selecting materials for the inner-layer structure and the outer-layer structure of the dual-layer resin tooth with different colors and hardness, the tooth body has an obvious touch distinction in the grinding process, the hardness of the dentin of the tooth and the hardness of the enamel are better distinguished, thus an automatic prompting function is provided for a learner, the experience of the learner is improved, the learner can quickly grasp a preparation method for a certain restoration body, and quick grasping of the preparation quantity and the preparation shapes is involved.

The invention relates to the technical field of reactive power compensation and voltage regulation for a distribution network, and discloses a reactive power compensation and voltage adjustment devicefor a distribution network. The reactive power compensation and voltage adjustment device for a distribution network comprises a reactive power compensation cabinet, a protective door and a receivingplate; a hydraulic rod is fixedly mounted on the bottom portion of the inner cavity of the receiving plate, the pushing end of the hydraulic rod is fixedly connected with the middle portion of the bottom end of the receiving plate, two fixing rods are fixedly mounted on the top portion of the receiving plate, the top end of the fixing rod is fixedly connected with the middle portion of the bottomend of a mounting bottom plate, the mounting bottom plate is slidably arranged in an inner cavity of a moving slot, and the moving slot is opened on the middle portion of a fixing substrate. According to the reactive power compensation and voltage adjustment device for the distribution network, with the combination of the hydraulic rod, the receiving plate and the fixing rods, a capacitor mountedon the top portion of the mounting bottom plate is pushed, so that the capacitor slides between the inner cavities of the moving slot and the receiving plate, and stretches the connecting wires at the top end of the capacitor, thereby prevent the connecting wires from bending.

The invention relates to the field of medical image processing, in particular to an artificial intelligence method and a system for identifying a retinal hemorrhage image, and the method comprises thefollowing steps: carrying out the deep learning training of a convolutional neural network, and obtaining a retinal hemorrhage recognition model; inputting the wide-area fundus image into the retinalhemorrhage recognition model, and judging whether retinal hemorrhage occurs in the wide-area fundus image or not; and when it is judged that retinal bleeding exists, positioning a retinal bleeding focus part on the wide-area fundus image. According to the method, the retina of the wide-area fundus image is analyzed by means of the sensitivity and accuracy of artificial intelligence deep learning,so that early screening of retinal bleeding is more accurate, more intelligent and more portable, the screening efficiency is improved, and irreversible damage to people caused by retinal bleeding isreduced.

The invention discloses a document file identification method and system. The method comprises the following steps: judging the type of an obtained unknown file, and screening out a document file; judging the authenticity of the document files, and screening out real document files; sequentially identifying important information and attribute information of the real document file to obtain complete information of the real document file. By means of the above manner, whether the unknown file to be recognized is the document file or not can be judged in advance, and the authenticity of the unknown file can be judged, so that the needed real document file is accurately screened out, complex processing on irrelevant files or non-real document files is prevented, and the recognition efficiencyis improved; according to the document file identification method and system, the document file is automatically identified, and important information and other attribute information in the real document file are automatically identified, so that tedious manual input is prevented, frequent updating and maintenance according to the change of the document file are not needed, accurate and efficientidentification of the document file is realized while the cost is saved, and the document file identification method and system have relatively high application value.

The invention discloses a workpiece position tracking positioning method, comprising steps of defining a plurality of monitoring areas in the workshop and arranging cameras in the monitoring areas, transmitting video images collected by the camera to the computer and performing moving object identification, choosing a scanning area corresponding to the read-write distance of an ultra-high frequency RFID reader-writer in each monitoring area according to the read-write distance of the ultra-high frequency RFID reader-writer, determining the position information and the processing state of the workpiece and uploading the obtained information to an MES production management system. The invention can provide the state information like the reliable workpiece position, processing procedur, etc., uploads the collected data to the workshop MES production management system, replaces the traditional artificial operation, and effectively improves the efficiency of the industrial production management.

The invention provides a control method and device for protecting an air conditioner against extended service and the air conditioner. The control method comprises the steps that according to preset judgment conditions of the air conditioner, whether the air conditioner is in the extended service state or not is judged, wherein the preset judgment conditions include the equipment start and stop state, and the equipment start and stop state comprises the number of start times of the air conditioner, the accumulative operation time of the air conditioner and / or the number of start times of a compressor of the air conditioner; according to the judgment result of whether the air conditioner is in the extended service state or not, a corresponding instruction is sent to a master control moduleof the air conditioner so as to control the air conditioner to operate. By the adoption of the control method and device for protecting the air conditioner against extended service and the air conditioner, which extended service state is the air conditioner in can be judged out according to the preset judgment conditions of the air conditioner, corresponding control action is made, and the user experience is improved.

The invention provides a classification detection method and device based on a lightweight classification model. The method comprises the steps of obtaining a training sample image, and determining the category of the training sample image; performing classification marking on the training sample image according to the category to obtain a sample marking image; inputting the sample marking image into the lightweight classification model for training to obtain a trained lightweight classification model; and inputting a to-be-evaluated sample image into the trained lightweight classification model, and judging and outputting the category of the to-be-evaluated sample image. According to the lightweight classification model, the model basic units in the trunk adopt a simple double-branch structure, transmission of to-be-evaluated sample image data is reserved while the number of the model basic units is increased, the parameter space can be lightened by using the convolution layer with the number of output channels equal to the number of convolution groups, the initialization width of the model is small, the model is lighter, so that the speed of processing the to-be-evaluated sample image data by the model is higher, the detection effect is better, and the detection efficiency is higher.

The invention relates to a parallel signal processing method and system based on video image recognition. The method comprises the following steps: receiving an audio to be played and a video to be played; target feature recognition is carried out on the video to be played, target features are marked, and a marked frame is determined; placing a playing starting point of the to-be-played audio at the mark frame; and when the audio is played, playing the video at the mark frame. According to the embodiment of the invention, target feature recognition is carried out on the to-be-played video, so that the nodes for voice playing can be effectively controlled according to picture recognition in the video during video playing, the determination of the nodes for voice playing is more accurate, synchronization of video playing and voice playing is realized, and the user experience is improved. The situation that the voice is delayed during video playing or the voice does not accord with an actual playing picture is reduced, and the user experience is improved.

A status monitoring apparatus includes information obtaining means to obtain detected information items that are continuously detected; image data generating means to partition the detected information items by frames at predetermined time intervals, and configured to generate, for each frame, two-dimensional image data representing a distribution of detected information items in the frame, with an axis of abscissa being a time axis and an axis of ordinate being an axis showing a value / amount of the detected information items; and status detecting means to perform a machine learning based on the two-dimensional image data generated by the image data generating means to generate a correct label for judging whether the two-dimensional image data show at least a warning sign of failure, and to judge that at least a warning sign of failure has occurred in the detected information items, when the two-dimensional image data corresponding to the correct label are generated.

The invention discloses a judgment method for a tool-workpiece contact area. The judgment method mainly comprises the following steps of: separately establishing a tool coordinate system and a workpiece coordinate system, and determining description, in the two coordinate systems, at the same moment of a cutting edge differential element; determining whether the cutting edge differential element is outside a workpiece processing surface or not; determining whether the cutting edge differential element is under the lowest point of a last cutting edge period or not; determining whether the cutting edge differential element is within a front cutter tooth enveloping surface or not; and according to the step, determining whether the cutting edge differential element is within an effective contact area or not. The algorithm adopted by the technical scheme overcomes the defects such as low efficiency and a complex process in the prior art, has the characteristics of short calculating time and high predicating precision, can integrate efficiency and precision better in aspect of five-axis complex curved surface processing, and greatly optimizes a calculating process of tool cutting force.

The invention provides a specific primer group for analyzing the soybean fusarium root rot fungus diversity, a kit and application thereof, and relates to the field of biological detection. The specific primer group consists of a first forward primer shown as SEQ ID NO. 1, a second forward primer shown as SEQ ID NO. 2, a third forward primer shown as SEQ ID NO. 3, one or a plurality of fourth forward primers shown as SEQ ID NO. 4 and a shared reverse primer shown as SEQ ID NO. 5. When the specific primer group is used for the detection of soybean root rot caused by fusaria, the fusaria of the soybean root rot can be fast recognized; the types of the fusaria are determined through the strip belt size displayed according to the detecting result, so that a basis is provided for comprehensive prevention and control of the soybean root rot.

The invention discloses a malicious information transmission preventing method and system of a mobile intelligent terminal. The method comprises the following steps of: judging, namely judging whether an information transmission object is in a preset blacklist or whitelist or not when the application program of the mobile intelligent terminal is about to transmit information; and processing, stopping the transmission of the information if the information transmission object is in the preset blacklist and allowing the transmission of the information if the information transmission object is in the preset whitelist, wherein the blacklist is a list of application software untrusted by the mobile intelligent terminal, and the whitelist is a list of application software trusted by the mobile intelligent terminal. By applying the method and system disclosed by the invention, the transmission of the malicious information can be efficiently prevented.

The invention discloses a temperature acquisition device and a bed temperature visualization system and method.The temperature acquisition device comprises a high-temperature camera device and a bed temperature thermocouple, the high-temperature camera device is integrated on the bed temperature thermocouple, the high-temperature camera device comprises a high-temperature camera and a video data output port, the high-temperature camera is embedded into a temperature detection end of the bed temperature thermocouple, and a video data output port is connected into a junction box of the bed temperature thermocouple; the high-temperature camera is used for collecting video data in a hearth of the thermal power generation equipment; and the video data output port is used for sending the video data to the background processing device, so that the background processing device displays a video picture corresponding to the video data through the display device. By applying the device, the system and the method described by the invention, the efficient collection of the temperature in the furnace can be realized, and the technical personnel can accurately and efficiently judge the combustion condition in the furnace.

The invention provides a control method and device for protecting an air conditioner against extended service and the air conditioner. The control method comprises the steps that according to preset judgment conditions of the air conditioner, whether the air conditioner is in the extended service state or not is judged, wherein the preset judgment conditions include the equipment start and stop state, and the equipment start and stop state comprises the number of start times of the air conditioner, the accumulative operation time of the air conditioner and / or the number of start times of a compressor of the air conditioner; according to the judgment result of whether the air conditioner is in the extended service state or not, a corresponding instruction is sent to a master control moduleof the air conditioner so as to control the air conditioner to operate. By the adoption of the control method and device for protecting the air conditioner against extended service and the air conditioner, which extended service state is the air conditioner in can be judged out according to the preset judgment conditions of the air conditioner, corresponding control action is made, and the user experience is improved.