42results about How to "Simplify the data collection process" patented technology

A method of testing a digital mobile phone network such as a GPRS or 3G network comprises either using real traffic or creating test traffic using test mobile phone coupled to a computer, and using the computer to measure a parameter associated with the network's response to the traffic. The measurements made by the computer are themselves sent as traffic to create one or more data streams within the mobile phone network comprising the traffic, measurements relating to the traffic, and signalling relating to the traffic, whereby this data stream or these streams can be captured at interface points within the network and analyzed to investigate the functioning of the network dynamically as the network is exercised with the traffic. Software and test equipment for performing the method are also described.

A method of testing a digital mobile phone network such as a GPRS or 3G network comprises either using real traffic or creating test traffic using test mobile phone coupled to a computer, and using the computer to measure a parameter associated with the network's response to the traffic. The measurements made by the computer are themselves sent as traffic to create one or more data streams within the mobile phone network comprising the traffic, measurements relating to the traffic, and signalling relating to the traffic, whereby this data stream or these streams can be captured at interface points within the network and analysed to investigate the functioning of the network dynamically as the network is exercised with the traffic. Software and test equipment for performing the method are also described.

The present invention relates to a real-time imaged optical coherence endoscopic system. Said invention includes broad-band light source, optical fibre coupler, sample arm and reference arm, position detector and computer collecting and processing system, and said system structure is based on Michelson interferometer, the described reference arm adopts the scanning disk connected with motor, and said scanning disk is formed from central shaft and flabellum which is placed on the central shaft and whose at least one surface form is equidistant spiral surface. The sample arm adopts micro-type optical transmission and scanning device based on ultrasonic motor. Said invention is simple in structure and can provide scanning range greater than 3 mm.

The invention discloses a test spectrum clipping method achieving monaxial and triaxial random vibration stress equivalence, and the problem that an existing test spectrum determination technique is complex in processing process is mainly solved. The test spectrum clipping method comprises the implementation steps that 1, a maximum Fann equivalent stress value sigmamax, generated when single axes are sequentially loaded with a homotaxial vibration acceleration test spectrum, of a focused point n on a vibration system and a Fann equivalent stress value sigmaxyz, generated when the three axes are simultaneously loaded, of the focused point n are extracted, and the ratio a of sigmamax to sigmaxyz is calculated through a formula a=sigmamax / sigmaxyz; 2, the horizontal coordinate of the monaxial vibration acceleration test spectrum keeps invariable, the corresponding vertical coordinate is reduced by a<2> times of a, and then a clipped vibration acceleration test spectrum is obtained. The test spectrum clipping method can achieve the effect that the Fann equivalent stress value, generated during triaxial vibration, of the focused point n can be made to be equal to the maximum Fann equivalent stress value generated during monaxial sequential vibration, is a simple and convenient method for determining a triaxial vibration test spectrum and can be used for building a triaxial vibration test standard.

The present application relates to the technical field of process optimization and can be applied to the financial industry, and provides a signature file generation method, an apparatus, a computer device and a storage medium. The methods include: the acquire file data to be signed, according to the identity information carried in the file data to be signed, generating and pushing a data acquisition link to a user terminal corresponding to the identity information, The user triggers the data collection link to collect the signature data and the facial information, detects the signature data,and verifies the identity information according to the facial information. When the signature data detection and the identity information verification pass, the signature file is generated according to the file data to be signed and the signature data. In the whole process, on the one hand, it simplifies the data collection process by using data collection link, on the other hand, it ensures the authenticity of user identity and the validity of signature data through identity verification and signature detection, and improves the efficiency of signature file generation and the accuracy of signature file data.

The invention discloses a three-dimensional display visual fatigue evaluation system and method based on electrocatdiogram and electrooculogram signals. The system comprises a three-dimensional display device, a subjective visual fatigue continuous scoring device, a physiological signal measurement device and a data processing unit, wherein the subjective visual fatigue continuous scoring device is used for collecting a user visual fatigue score value SS when the user watches three-dimensional display resources on the three-dimensional display device; the physiological signal measurement device is used for collecting ECG and EOG when the user watches three-dimensional display resources on the three-dimensional display device; and the data processing unit is used for calculating physiological feature data of the user according to the collected ECG and EOG, modeling according to the physiological feature data and the SS to obtain a three-dimensional visual fatigue prediction model, and evaluating the visual fatigue data of target three-dimensional display resources to the user i according to the physiological feature data when the user i watches the three-dimensional display resources and the three-dimensional visual fatigue prediction model.

The invention discloses a lens antenna based on the 3D printing technology. The lens antenna comprises a hyperbolic lens, a support body and a feed source array. The support body and the hyperbolic lens are made of liquid resin by using the stereoscopic light curing molding 3D printing technology, the feed source array is integrally formed by metal powder by using the selective laser melting 3D printing technology, the feed source array is formed by combining a plurality of feed resources in an orthogonal form, and each of the multiple feed resources comprises a square flange, a rectangle to circle waveguide and a round table. According to the lens antenna based on the 3D printing technology of the invention, a feed source form of a multi-beam two-dimensional plane array is achieved whilethe gains of an E plane and an H plane of the lens antenna are ensured, the processes of hydrological data collection and state monitoring is simplified when the antenna is applied to the hydrologicalfield, and the choices of antennas in the hydrological field are enriched.

The invention discloses a method for fuzzy identification of a water supply network model based on waterpower adjustment. According to the invention, the EPANETH software is adopted to establish a waterpower adjustment model of the water supply network, the operating simulation to the water supply network is realized, and the simulated experimental data is obtained. The system input and output time history obtained through simulating the waterpower adjustment model is utilized to replace the observation data, and the fuzzy identification method of the T-S model is adopted to deal with the input and output time history, so that a system parameter model is obtained. According to the invention, the advantages of the EPANETH software are utilized, stationing and data collection of onsite sensors are simplified, and the high-precision fuzzy identification of the T-S model is utilized for predictive control of the water supply network, so that the reliability of optimized dispatching of the water supply network is ensured.

The invention discloses a human body action classification method based on fusion features, and the method comprises the steps: inputting a plurality of human motion videos with labels, and convertingeach motion video into a frame sequence; predicting human body articulation point 3D coordinates of each frame by using a pre-trained hourglass human body posture estimation model to obtain an articulation point 3D coordinate data set; projecting the human body articulation point coordinates to a three-dimensional plane; respectively carrying out feature extraction on the projected data by usingtwo models of LSTM and GRU, and fusing the extracted two groups of feature vectors; and training a human body action video classification model based on the fused features, and inputting the video data into the trained human body action video classification model to obtain a human body action video classification result. According to the method, the overall features of the human body actions can be mined through feature fusion, the feature discrimination of the model is enhanced, and action classification with small inter-class difference is more accurate.

The invention provides a distributed system-based data acquisition method and acquisition system. The method comprises the steps of taking nodes needed to perform data acquisition in a distributed system as acquisition nodes, and setting objects needed to perform data acquisition in the acquisition nodes as acquisition sub-items; monitoring the acquisition sub-items of the acquisition nodes by the acquisition nodes, and storing changed data items and change value marks in the acquisition sub-items; in each polling time slice, polling the acquisition nodes in sequence to obtain the changed data and the change value marks in the acquisition sub-items; and updating a distributed system database based on original acquired data in the distributed system database according to the changed data and the change value marks in the acquisition sub-items of the acquisition nodes. According to the distributed system-based data acquisition method and acquisition system, the node information monitoring overhead is reduced and the data acquisition efficiency is improved.

The invention relates to a rod body identification system based on vehicle auxiliary driving. A collection module directly performs data collection on a shifting level of the vehicle, and outputs the collected inertial navigation signal to a communication module which transmits the inertial navigation signal to a processing module; the processing module performs data analysis on the inertial navigation signal and determines the index of the exercise amount of an indication rode body in the inertial navigation signal; the control module determines whether the shifting level moves according to the exercise amount of the indication rod amount. In the determination process, the rod body identification system does not need the CAN bus data of the vehicle, does not have the technical requirement for user installation and usage, and enables the rod identification to be simple and convenient, and the data collection process is simple.

The invention discloses a land requisition and demolition application management system based on a BIM + GIS technology, and belongs to the technical field of engineering management. The system comprises a multi-view image collection module, a real scene model generation module, an underground pipe network model generation module, a basic application module, an APP module and a data application module. According to the invention, the live-action model generated by the multi-view image is combined with the underground network management model, and the data is accurately recorded and the demolition scene is truly restored in a single mode on the generated application model, so that the data acquisition process is simplified, the data loss is prevented, and the data error rate is greatly reduced. According to the system disclosed by the invention, the data binding between the data and the model can be realized in the system by inputting the related business investigation data into the monomeric model, so that the data can be conveniently checked; other personnel can synchronously check the data input by the business personnel in the field in the system, so that the real-time check, sharing and interaction of the data are realized.

The invention provides a real-time fatigue driving behavior scoring system based on a DMS. The system comprises a DMS device, a server side and a client side. The invention also relates to a real-timefatigue driving behavior scoring method based on the DMS. The method is used for comprehensively evaluating long-term behavior habits of a driver and achieving risk control of the driver. The methodhas the advantages of simple data acquisition process, low cost and reasonable scoring system, and has a better prospect in application and popularization. Data is shared from the server side to the client side, so that the driver is prompted to improve the safety consciousness and standardize the driving behaviors, correspondingly the social traffic accident rate is reduced, and the public traffic safety level is improved.

The invention provides a portable unmanned aerial vehicle detection system combined with an imaging simulation technology, and relates to the technical field of imaging simulation and machine vision crossing, the system uses the imaging simulation technology, the data collection process is simplified, the model training period is shortened, calculation is carried out by using a network after internal weight adjustment, and finally unmanned aerial vehicle detection is realized. The invention discloses a transplantable unmanned aerial vehicle detection system combined with an imaging simulationtechnology, a plurality of complex backgrounds can be obtained; various types of unmanned aerial vehicles are detected in real time; the problem that a traditional template matching method is poor ingeneralization ability is solved through the deep learning technology, the data collection process is simplified through the combination with the imaging simulation technology, the model training period is shortened, meanwhile, the portable intelligent unmanned aerial vehicle detection system can be set up on various embedded devices, and the portable intelligent unmanned aerial vehicle detectionsystem is provided.

The invention belongs to the technical field of robots and artificial intelligence, particularly relates to a quick imitation learning method, system and equipment for robot skill learning, and aims to solve the problems that teaching data collection of an existing robot is time-consuming and complex, and when a demonstrator provides suboptimal teaching, the robot cannot optimize the execution process, and the teaching efficiency is high. The operation efficiency of the robot is reduced, and the operation time is prolonged. The system method comprises the following steps: collecting original teaching data; in combination with a pre-trained evaluator, extracting key frame teaching data from the original teaching data set through a preset key frame extraction method; and based on the key frame teaching data, controlling the robot to reproduce teaching through the trained control strategy model. According to the method, the data collection process during robot imitation learning can be simplified, the teaching track is optimized based on the performance of the robot control strategy model, the data collection time and the robot operation time are shortened, the efficiency of robot imitation learning is effectively improved, and the operation time is shortened.

The invention provides a camera external parameter calibration system and method. External parameters of a camera can be determined by using a first positioning base station, a second positioning basestation and a third positioning base station; only the first positioning base station, the second positioning base station and the third positioning base station need to be manually arranged at preset positions; therefore, a calculation device can calculate the external parameters of the camera according to the measurement results of the first positioning base station, the second positioning basestation and the third positioning base station. The operation process is simple and rapid, calibration can be completed by the ordinary personnel according to operation instructions without dependingon professional calibration personnel, the labor cost and the time cost are greatly saved, and the precision of external parameter calibration is improved.

The invention discloses a human action classification method based on fusion features, which includes inputting a plurality of labeled human action videos, converting each action video into a frame sequence; using a pre-trained hourglass human body pose estimation model to predict the human body joints of each frame Point 3D coordinates to obtain the 3D coordinate data set of joint points; project the coordinates of human joint points to a three-dimensional plane; use LSTM and GRU models to extract features from the projected data, and fuse the extracted two sets of feature vectors; The fused features train the human action video classification model, input the video data into the trained human action video classification model, and obtain the human action video classification result. The method of the invention can mine the overall features of human actions through feature fusion, enhance the model's ability to distinguish features, and classify actions with small differences between classes more accurately.

The invention discloses a gesture recognition method based on a motion type brain-computer interface, and the method comprises the steps of building an electroencephalogram signal collection platformbased on the motion type brain-computer interface, carrying out the collection and preprocessing of electroencephalogram signals through the electroencephalogram signal collection platform, and obtaining an electroencephalogram signal sample set; constructing a gesture recognition model based on a penalty long short-term memory network RLSTM, and training the gesture recognition model by using theelectroencephalogram signal sample set, wherein the RLSTM comprises control of a state C, and a loss function of the RLSTM comprises a penalty term; and performing gesture recognition on the electroencephalogram data acquired based on the motion type brain-computer interface through the trained gesture recognition model, and controlling the mechanical palm to execute a corresponding gesture according to a gesture recognition result. The invention can effectively solve the problem of overfitting in the training process of a traditional gesture recognition model and the problems of BCI blindness and one-person-one-model existing in a brain-computer interface, and is high in recognition accuracy and high in practicability.

The invention discloses a test spectrum clipping method achieving monaxial and triaxial random vibration stress equivalence, and the problem that an existing test spectrum determination technique is complex in processing process is mainly solved. The test spectrum clipping method comprises the implementation steps that 1, a maximum Fann equivalent stress value sigmamax, generated when single axes are sequentially loaded with a homotaxial vibration acceleration test spectrum, of a focused point n on a vibration system and a Fann equivalent stress value sigmaxyz, generated when the three axes are simultaneously loaded, of the focused point n are extracted, and the ratio a of sigmamax to sigmaxyz is calculated through a formula a=sigmamax / sigmaxyz; 2, the horizontal coordinate of the monaxial vibration acceleration test spectrum keeps invariable, the corresponding vertical coordinate is reduced by a<2> times of a, and then a clipped vibration acceleration test spectrum is obtained. The test spectrum clipping method can achieve the effect that the Fann equivalent stress value, generated during triaxial vibration, of the focused point n can be made to be equal to the maximum Fann equivalent stress value generated during monaxial sequential vibration, is a simple and convenient method for determining a triaxial vibration test spectrum and can be used for building a triaxial vibration test standard.

The invention relates to a DIC-based tooth root bending stress detection system and method in an RV reducer gear engagement process. The detection system comprises a magnetic torque motor power device, two sets of DIC equipment and a host. The two sets of DIC equipment are in one-to-one correspondence with a pair of gears; the DIC equipment is arranged on the side faces of the gears and comprises DIC digital camera assemblies and plane mirror assemblies, the DIC digital camera assemblies shoot speckle images at the tooth roots of the gears corresponding to the DIC digital camera assemblies through reflection of the plane mirror assemblies, the DIC digital camera assemblies are in communication connection with the host, and the speckle images shot by the DIC digital camera assemblies are transmitted to the host to be processed; the magnetic torque motor power device is connected with one of the gears and used for providing loads for the pair of gears. The system and the method adopts non-contact measurement, the data acquisition process is simple, and the system and the method can be used in places where detection is difficult or contact measurement equipment cannot be installed.

The invention discloses an imaging method of a hard X-ray grating interferometer with single exposure. The imaging method is characterized by including the steps of 1, moving any grating, and fixing a working point of the hard X-ray grating interferometer at a left half waist and right half waist position of a light intensity curve; 2, obtaining a background projection image and a projection image of an imaged object respectively; 3, obtaining the normalized projection image of the imaged object, and conducting logarithm process on the normalized projection image; 4, constructing an expression formula to conduct one-dimensional Fourier transform according to the logarithm process result; 5, utilizing one-dimensional inverse Fourier transform to extract absorption of the imaged object and a relative phase shift signal respectively according to the result of the Fourier transform. According to the imaging method of the hard X-ray grating interferometer with the single exposure, the data collection procedure of the hard X-ray grating interferometer is simplified, the imaged object is subjected to single exposure, the imaging efficiency is improved, the radiation damage risk is reduced, and thus a new path of the development of a future fast and low-radiation-dose clinical medical imaging technology is provided.

The invention discloses a lens antenna based on the 3D printing technology. The lens antenna comprises a hyperbolic lens, a support body and a feed source array. The support body and the hyperbolic lens are made of liquid resin by using the stereoscopic light curing molding 3D printing technology, the feed source array is integrally formed by metal powder by using the selective laser melting 3D printing technology, the feed source array is formed by combining a plurality of feed resources in an orthogonal form, and each of the multiple feed resources comprises a square flange, a rectangle to circle waveguide and a round table. According to the lens antenna based on the 3D printing technology of the invention, a feed source form of a multi-beam two-dimensional plane array is achieved whilethe gains of an E plane and an H plane of the lens antenna are ensured, the processes of hydrological data collection and state monitoring is simplified when the antenna is applied to the hydrologicalfield, and the choices of antennas in the hydrological field are enriched.

The invention discloses an iterative algorithm-based X-ray diffraction enhanced imaging method, which is applied to a diffraction enhanced imaging system composed of an X-ray source, a monochromatic crystal, an analysis crystal and a detector arranged in sequence along the X-ray propagation direction , X-rays incident on the surface of the monochromatic crystal are diffracted, and the outgoing monochromatic collimated X-rays are diffracted after penetrating the object to be imaged and incident on the surface of the analysis crystal. After the outgoing X-rays are incident on the detector, the intensity of the X-rays is determined The detector detects and records, taking the normal of the diffraction surface of the analysis crystal as the rotation axis, and using the detector to record and analyze the projection data of the analysis crystal at three different angular positions, so that the proposed iterative algorithm is used to process the projection data recorded by the detector, Obtain the absorption, refraction and scattering signals of the imaged object. The invention can solve the problem of accurate extraction of the refraction signal and scattering signal of the imaged object when the offset of the light intensity curve is not zero.

The present invention claims to protect a method for extracting and classifying EEG signal features combined with a noise reduction automatic encoding machine and a convolutional neural network. The method includes the steps of: collecting EEG data through an EEG signal acquisition instrument; removing the collected data Preprocessing such as abnormal samples, de-meaning, signal filtering, etc.; use the automatic encoding machine with noise coefficient to train the EEG signal; output the hidden layer of the noise reduction automatic encoding machine as feature data; and then convert the obtained feature data into similar Image format; use convolutional neural network for classification; finally use the test data set to test the performance of the trained network. Compared with other traditional methods, the present invention can obtain higher classification accuracy and stronger robustness.

The invention relates to the technical field of vehicles, and discloses a vehicle climbing test method and a test system. The test method includes: S1, preparation steps for the test environment and the test vehicle before the test; S2, pre-testing the test vehicle and the chassis dynamometer. Hot step; S3, carry out road sliding test to the test vehicle, and record the operating data in the test process; S4, carry out data analysis and comparison according to the data recorded in step S3, and judge whether the climbing performance of the vehicle meets the design Require. The invention adopts the chassis dynamometer to simulate the actual track to test the climbing performance of the vehicle, and collects the running data of the vehicle during the test. The data collection process is simple, convenient and fast, and the collected data has high precision. The test method is safe and can greatly reduce the test cost.

The invention discloses a gesture recognition method based on an imaginary brain-computer interface, and the method comprises the steps: building an electroencephalogram signal collection platform based on the imaginary brain-computer interface, carrying out the collection and preprocessing of electroencephalogram signal through the electroencephalogram signal collection platform, and obtaining anelectroencephalogram signal sample set; constructing a gesture recognition model based on LSTM-DENSE, and training the gesture recognition model by using the electroencephalogram signal sample set; performing gesture recognition on the electroencephalogram data acquired based on the imaginary brain-computer interface through the trained gesture recognition model, and controlling the mechanical palm to execute a corresponding gesture according to a gesture recognition result. According to the method, the problems of non-convergence in the training process of a traditional gesture recognition model and BCI blindness and one-person-one-model existing in the brain-computer interface are effectively solved, the practicability and generalization performance of the imaginary brain-computer interface are improved, the application range of the imaginary brain-computer interface is widened, and the method is more convenient for the disabled to use.

The invention relates to a data collection method and system of an application program. The method comprises the following steps: obtaining an access signal of a client, and sending a collection signal to the client; obtaining a permission signal of permitting operations on applications on the client and fed back by the client according to the collection signal; and calling an intelligent collection interface, and sending a control instruction to automatically execute set operations on the applications of the client, automatically collecting corresponding data information generated by the applications when executing the set operations, automatically parsing the data information, and storing the data information in a database. By calling the universal intelligent collection interface, sending the control instruction to automatically execute the set operations on the applications of the client, automatically collecting the corresponding data information generated by the applications whenexecuting the set operations, automatically parsing the data information, and storing the data information in the database, the data collection process is intelligent and efficient, no excessive requirement is proposed for the cognitive level and the ability level of workers, and the data collection process is greatly simplified.

The invention discloses a steering system endurance test control method and device, a storage medium and a system, and the method comprises the steps: obtaining and preprocessing user driving data, and obtaining the related data of a steering system; calculating the times and conditions of executing various steering conditions by the user according to the steering system related data; generating adurability cycle instruction according to the times and conditions of various steering conditions, and sending the durability cycle instruction to the durability test device, so that the durability test device tests the steering system. According to the times and conditions of various steering conditions, a durability cycle instruction is generated to control the durability test device to test the steering system, and the steering condition of user driving and durability verification during development of the steering system are directly associated, so that the durability verification is closer to the actual use condition of the user; compared with a conventional steering system, verification is more comprehensive, the risk of failure of the steering system after mass production is reduced, and the problems that an existing endurance test method is poor in relevance with Chinese user driving conditions, and verification of the steering system is insufficient are solved.

The present invention relates to a real-time imaged optical coherence endoscopic system. Said invention includes broad-band light source, optical fibre coupler, sample arm and reference arm, position detector and computer collecting and processing system, and said system structure is based on Michelson interferometer, the described reference arm adopts the scanning disk connected with motor, and said scanning disk is formed from central shaft and flabellum which is placed on the central shaft and whose at least one surface form is equidistant spiral surface. The sample arm adopts micro-type optical transmission and scanning device based on ultrasonic motor. Said invention is simple in structure and can provide scanning range greater than 3 mm.

The invention discloses a data set construction method and device based on a 3D game, equipment and a storage medium. The method comprises the following steps: firstly, acquiring a compiled game data capture script of a target 3D game; the target 3D game is operated, game picture data are obtained according to the game data capture script, and the game picture data comprise image data and non-image data; performing data cleaning on the game picture data to obtain to-be-labeled sample data; and finally, constructing a data annotation system, and annotating the sample data through the data annotation system. It can be seen that the synthetic data is obtained from the 3D game, the efficiency is higher compared with the data collection efficiency in the real world, the game synthetic data can obtain corresponding semantic information from the game, the data labeling process can be greatly simplified, and the data obtained from the game can be used for model training.