206results about How to "True reaction" patented technology

The invention discloses an image description method and system based on a vision and semantic attention combined strategy. The steps include utilizing a convolutional neural network (CNN) to extract image features from an image whose image description is to be generated; utilizing a visual attention model of the image to process the image features, feeding the image features processed by the visual attention model to a first LSTM network to generate words, then utilizing a semantic attention model to process the generated words and predefined labels to obtain semantic information, then utilizing a second LSTM network to process semantics to obtain words generated by the semantic attention model, repeating the abovementioned steps, and finally performing series combination on all the obtained words to generate image description. The method provided by the invention not only utilizes a summary of the input image, but also enriches information in the aspects of vision and semantics, and enables a generated sentence to reflect content of the image more truly.

The invention provides an amplification sublibrary and a construction method thereof. The construction method comprises the following steps: S1, performing PCR amplification on target fragments of multiple samples to obtain a plurality of amplification products; S2, performing balanced mixing on the amplification products to obtain a mixed product; S3, sequentially performing fragmentation and terminal repairing on the mixed product, and adding A at a terminal 3' of the mixed product to obtain an A-repaired product; S4, jointing the A-repaired product by using a joint of PCR-free to obtain the amplification sublibrary. Through balanced mixing of the amplification products and through joint connection by using the optimized PCR-free, by the construction method, preference generated by PCR as well as chimeras in environmental samples is avoided, so that sequencing data between different samples have good consistency, subsequent clustering analysis and technical repeatability are more reasonable and more accurate, and can more really reflect evolutional relationship between the environmental samples.

The invention relates to a video caption generation method based on semantic segmentation and a multilayer attention frame, and the method comprises the steps: 1, extracting multiple image frames froma video, wherein the caption of the video needs to be generated; 2, sensing a semantic segmentation model through a full convolution instance, and extracting the feature information of one deconvolution layer from the video; 3, extraction motion features and audio features of the video; 4, sensing the semantic segmentation model through the full convolution instance, and extracting an attribute label from an image extracted at step 1, wherein the attribute label comprises the object information in each image frame; 5, generating context matrixes in different modes according to the informationextracted at former steps, carrying out the layered fusion of the context matrixes in different modes, and generating a fused context matrix; 6, obtaining words, serving as the components of the caption, through employing LSTM and employing a multilayer sensing mechanism for processing; 7, carrying out the series combination of all obtained words, and generating a final caption.

The present invention discloses an apparatus for obtaining water quality information, a method ans system for recognizing water body eutrophication degree. The apparatus includes LED lamps arranged around a filter uniformly for emitting given wavelengths; a filter for blocking light beams except the given wavelengths to collect an optical image; and a CCD light sensor for transforming the opticalimage transmitted to the surface of the CCD light sensor into an electric signal. The technical scheme of the invention is capable of rapidly, high efficiently and conveniently obtaining images with high space resolution and high time resolution, and implementing multidata monitoring and evaluation of the water body entrophication by processing and analyzing the image. The cost of the apparatus islow, and operation is convenient. The invention is capable of replacing laboratory analysis methods or providing assistant support for the laboratory analysis methods, arranging sampling points reasonably and reducing the usage of chemical agents, and overcoming abuses caused by collecting data using remote sensing satellites.

The invention discloses an internet-of-things-based mining dynamic real-time monitoring method and system. The system comprises a mine original model construction module, an underground mining activity trajectory coordinate acquisition module, an underground mining activity trajectory coordinate filtration module, an actual mining range automatic forming module and a reserve model dynamic construction module. According to the method, an internet-of-things technology is utilized, underground real-time mining trajectory data is acquired, null spots in original gob and roadway are eliminated by using a mode that the graph and expression in geometry math are combined, then a convex model is constructed in combination with effective point data and solid Boolean operation is performed in combination with an ore body block-section model constructed by original check information, and meanwhile related ore body block-section reserve information is associated. By using the method and the system, a mine underground real-time mining condition can be conveniently monitored by a mine supervision department, a mine enterprise can also browse the underground actual mining condition, a mining plan is formulated, rational personnel distribution and scheduling are realized, and effective utilization of resources is realized.

The invention discloses a phase-sensitive light time domain reflectometer based on a 120-degree difference interferometer. The reflectometer comprises a laser light source, a light pulse modulator, a first light amplifier, a first circulator, a second light amplifier, a second circulator, a fiber grating, the 120-degree difference interferometer, a first photoelectric detector, a second photoelectric detector, a third photoelectric detector, a data acquisition card and a data processing system. After light emitted by the laser light source is modulated to pulse light through the light pulse modulator, the pulse light is amplified through the first light amplifier, and then the pulse light goes into a second port from a first port of the first circulator so as to be injected into a sensing fiber; and the interferometer erected by use of a 3*3 coupler with a phase difference of 120 degrees is employed for performing distributed modulation on the phase of Rayleigh scattering light in the fiber and obtaining phase information along the fiber so that such information as vibration, temperature, strain and the like is sensed.

The invention discloses a power transmission and transformation scene description automatic generation method fusing global information and local information, and aims to perform image Chinese description generation on a power transmission and transformation scene: extracting local and global feature information of an image by combining deep learning and a traditional computer vision technology; the semantic information of each Chinese segmented word is associated with the fused feature information; a long-term and short-term memory neural network is improved, a double-layer attention mechanism is added, an established sequence model generates distribution of an attention variable at each moment according to image feature information and semantic information, and finally Chinese description corresponding to an image is generated.

The invention relates to a text processing method and device, a model training method and device, a storage medium and computer equipment. The text processing method comprises the steps of obtaining atarget text; performing vectorization on each word forming the target text to obtain a word vector sequence; inputting the word vector sequence into a rhythm prediction model, processing the word vectors according to a sequence of the word vectors in the word vector sequence in a hidden layer of the rhythm prediction model to obtain a semantic vector sequence; and outputting a predicted rhythm tag sequence obtained by mapping of the semantic vector sequence through an output layer of the rhythm prediction model. The scheme provided by the invention improves the text processing efficiency.

The invention discloses a device for detecting positioning accuracy of a surgical operation navigation system. The main body of the device is a sealable cylinder, comprising a base, a detachable upper lid and a detachable head die. The base comprises a pedestal, an outer cover and a plurality of organic glass rods. The pedestal is provided on the bottom surface of the base and a plurality of organic glass rods of different lengths are provided on the pedestal. The outer cover which is provided on the side of the base is bonded on the pedestal, and a plurality of organic glass rods of the same length are provided on the cover. The detachable upper lid comprises a sealing lid, a connecting bolt and a water injection hole screw. The connecting bolt is provided in the center of the sealing lid for screwing the upper lid. The water injection hole screw which is used for injecting water is provided beside. The upper lid is contacted and is fixed with the base. The detachable head die is fixed on the pedestal of the base and inside the outer cover of the base. The invention further discloses a detecting method of the device. According to the invention, not only point registration accuracy but also surface registration accuracy can be detected, which promotes higher and more real detection accuracy.

A wireless communication network testing data collection and analysis method based on an intelligent mobile phone is characterized in that an intelligent mobile phone of an ATAW (Any Time, Any Where) abnormal data three dimensional collection software based on 'client perception degree' is mounted to monitor existing wireless communication network data at real time; if a client finds abnormal situation of a wireless communication network, the client collects data, automatically triggers a GPS module of the client and compresses and encrypts abnormal information and abnormal data; then under the condition that the wireless network communication network is covered, the client transmits the abnormal information and the abnormal data to an analysis system via the wireless network; and if the wireless communication network can not be covered, the abnormal information and the abnormal data are stored in the client temporarily. The overall collection and analysis process is closely connected, abnormal conditions of the network is timely found, network optimization is realized, and the method is simple, precise, reliable and convenient and easy to be operated.

Embodiments of the present invention address the above problems and others, while providing for a number of advantages. Some embodiments provide for end to end tracking that is able to provide ubiquitous sensor information and coverage by pairing the sensor data collection (either via BLE, barcodes, or QR codes paired with a mobile app or smart device) with the assets to collect data from farm to fork (i.e., end to end). This is in contrast to traditional solutions that may only he able to track certain data for a single leg or trip in the supply chain. Some embodiments allow more devices to be paired with products within a truckload or warehouse, since the devices are already embedded with the asset. Thus, customers may evaluate environmental differences that affect product quality

The invention relates to a scene perception system and method for a digital twin workshop. The scene perception system comprises a data acquisition module, a scene perception module and a data miningmodule which are sequentially connected. The data acquisition module is used for acquiring numerical control workshop information data. The scene sensing module is used for preprocessing the numericalcontrol workshop information data acquired by the data acquisition module. Constructing a numerical control workshop body model, constructing a hierarchical relationship among the data, eliminating contradiction information through ontology reasoning detection, and loading the previously stored preprocessed data into the numerical control workshop body model to realize instantiation of the numerical control workshop body model. And the data mining module is used for mining potential association in the data by operating a mining algorithm required by a user. According to the method, the sceneperception technology and the ontology modeling technology are utilized, the problems of big data and small information existing in the manufacturing process are solved, the digital twin workshop model is updated in real time, and the method can serve as a basis for subsequent operation such as fault prediction and target optimization.

The invention relates to a two-stage optimization scheduling method supporting source network load storage multivariate ubiquitous coordination. The method comprises the following steps: 1, a day-ahead stage: predicting next-day data according to historical data and a load uncertainty model considering demand side management; 2, taking low-carbon economy as a target, considering a deep peak regulation working condition and a normal operation working condition of the thermal power generating unit, carrying out random sampling by utilizing a Monte Carlo method, and solving a day-ahead low-carboneconomy scheduling model by utilizing a hybrid bat algorithm to obtain a low-carbon economy scheduling model; 3, in the intra-day stage, according to the ultra-short-term prediction values of the wind power plant and the photovoltaic power station and the intra-day system load considering the day-ahead price demand response, based on an intra-day thermal power generating unit correction model andan intra-day low-carbon economic dispatching model, determining the unit start-stop combination and the price and price type demand response quantity of each time period; and solving and adjusting the day-ahead scheduling plan by using a hybrid bat algorithm. The low-carbon economic dispatching of the power system is realized, the local optimum in a high-dimensional condition is effectively avoided, and the global optimal solution is quickly obtained.

The invention discloses a part detection method, system and electronic device based on information fusion of multiple sensors. The method comprises the steps that firstly, the multiple sensors are utilized for collecting images of detected parts, and then multiple images are formed correspondingly; secondly, the multiple images are fused to form a final fused image; thirdly, the finally fused image is matched with a template image, and the qualified rate of the parts is judged according to a matching result. By means of the method, the images can be collected through the multiple sensors, the collected images are fused so that complementary advantages of the multiple sensors in the part detection process can be achieved, the characteristics of the parts can be reflected more truly, and the detection accuracy and efficiency of the parts are improved.

A computer-implemented method for modifying software code includes: processing a command to modify a first module of software code stored on a production system in a distributed computing environment, where the software code includes a first plurality of data objects and a first plurality of notes; generating at least one queue comprising the second plurality of notes; modifying a second module of software code stored on a development system in the distributed computing environment with the second plurality of notes, where the second module of software code comprising a version of the first module of software code; and transferring the second module of software code to the production system to modify the first module of software code such that the first plurality of notes are modified by the second plurality of notes.

The invention discloses a novel axle fatigue testbed, and relates to the technical field of locomotive vehicle testing. The testbed comprises a base, a foundation bed, a rail wheel, an experiment wheel pair fixator, a first actuator and a second actuator, wherein the rail wheel is arranged on the foundation bed; the experiment wheel pair fixator is erected to the base and is used for installing atested wheel pair; the first actuator is arranged along a vertical direction and is used for applying a vertical load to the tested wheel pair; the foundation bed can be arranged on the base in a sliding way, and the slideable direction of the foundation bed is arranged along the axial direction of the spindle of the rail wheel; the second actuator is also arranged along the axial direction of thespindle of the rail wheel; and the first actuator is connected between the base and the foundation bed and is used for applying a lateral load to the tested wheel pair. By use of the testbed, load transfer accuracy is greatly improved, a true load effect can be more accurately reflected, and a fatigue test result is more accurate and reliable.

A robot arm includes a plurality of links and rotary joints for connecting the links with each other. A cable (wire rod) for communicating a drive signal to a drive actuator of each rotary joint is provided along each link. A reaction force table storing a reaction force value generated by the wire rod when the joint is driven in a divided storage area divided for each dynamic drive control condition is provided in a control system. In a case where each rotary joint is driven, the control device controls each rotary joint on the basis of a reaction force value obtained by referring to the reaction force table in accordance with the drive control condition.

The invention relates to an electric and optical combination monitor device and the method thereof. The device includes an optical line selector, an optical channel selector, an optical power splitter, an electric layer performance monitor device, an optical layer performance monitor device and a micro controller. Wherein, the optical line selector is used to select the line to be monitored from a plurality of optical fiber lines; the optical channel selector is used to select the optical channel to be monitored from the optical line; the optical power splitter is used to split the optical channel signal into two parts, one of which enters into the electric layer performance monitor device for electric layer performance monitoring, the other of which enters into the optical layer performance monitor device for optical layer performance monitoring; the electric layer performance monitor device is used to monitor the overhead of OUT and ODU; the optical layer performance monitor device is used to monitor the optical power, wavelength, optical signal to noise ratio and other related optical parameters; the micro controller controls the optical line selector and the optical channel selector according to the network management command, and analyzes and processes the data gathered form the electric layer and optical layer, then reports to the network management system.

The invention relates to a cognitive index analysis method for a potential value test, which is characterized in that visual, hearing and/or tactile stimulation information is provided for a subject by a stimulation information providing apparatus so as to acquire feedback information generated by the subject according to the stimulation information; the feedback information is sent to an analysis processing device to be analyzed after being acquired and/or received by an information input apparatus and an information acquisition apparatus, and the analysis processing device, according to first analysis data which is obtained by aiming at random feedback information acquired by the information acquisition apparatus and subconsciously generated when the subject receives the stimulation information, assists in correcting second analysis data which is obtained by aiming at inherent feedback information directly input by the subject through the information input apparatus, so that the analysis processing device, according to the first analysis data and the second analysis data, determines an analysis result and sends the analysis result to a storage device for storage.

The invention discloses a converter station sound field simulation method and system, and the method comprises the steps of collecting and obtaining a noise signal of a to-be-tested sound production device of a converter station in a preset time based on a sound source positioning extraction method, and carrying out the calculation, and obtaining an actual measurement sound pressure value of a predetermined position of the to-be-tested sound production device; modeling the to-be-tested sound production equipment through noise prediction software; presetting the sound power of the to-be-testedsound production equipment; simulating to obtain a simulated sound pressure value of the preset position of the to-be-tested sound production equipment; calculating a difference value between the simulated sound pressure value and the actually measured sound pressure value; if the difference value meets the preset convergence condition, completing sound field simulation; if the difference does notaccord with the preset convergence condition, adjusting the sound power of the to-be-tested sound production equipment; and assigning the real value to the model for sound field simulation. The method and the system can improve the sound field simulation accuracy of the converter station, and can be applied to noise standard exceeding responsibility division and noise treatment scheme verification of the extra-high voltage converter station.

The present disclosure relates to a Steer-By-Wire system including: a torque sensor configured to sense torsion bar torque generated when the driver operates the steering wheel; a steering angle sensor configured to sense a steering angle of the steering wheel; a reaction motor configured to provide reaction force in a direction opposite an operating direction of the steering wheel; a state variable estimator configured to receive information on the torsion bar torque and the steering angle and configured to estimate a plurality of state variables from which disturbances have been removed; and a reaction controller configured to determine a reaction torque to be output from the reaction motor using the plurality of state variables estimated by the state variable estimator, and further relates to a control method thereof. Accordingly, it is possible to accurately recognize the driver's steering intention.

The invention discloses a computer-based dance movement judging method, which comprises the following steps of: setting a tracking point on a human body and acquiring spatial position data of the tracking point at different moments in the human dance movement process; calculating corresponding movement data of the tracking point based on the requirement of movement to be judged; judging the dance movement according to standard movement data and judgment standard thereof and the calculated movement data; and performing output prompt on the judged result. By using the method, the movement track can be timely recorded based on acquired spatial position information of each tracking part at each moment in the human dance movement, whether the dance movement is standard is judged, and the condition of the human dance movement is more really reflected.

The invention discloses a civil aircraft conditioner flow control valve state monitoring device and method. The method and device are based on a DFDAU, an ACARS and a ground engineering monitoring module. An event trigger logic used for monitoring FCV states is additionally arranged in an ACMS, a format of a FCV message containing FCV state parameters is customized, when FCV overhead non-command is turned off, the event trigger logic triggers to generate the FCV message, the message is printed through vehicle-mounted printing equipment, and/or displayed through a MCDU, and/or transmitted to the ground engineering monitoring module in real time through the ACARS, so that ground maintenance personnel and / or aircrews are informed with the states of FCV timely, a monitoring mechanism that real-time monitoring is triggered by failure alarming is formed, pressure of the aircrews is relieved, the aircrews do not need to pay attention to the passenger cabin height of the aircraft to understand the supercharging situation of the aircraft all the time, but actively warn the ground maintenance personnel and/or the aircrews of potential emergency states, and thus advantageous conditions areprovided for ensuring flight safety.

The invention relates to a manufacturing method for a multilayer-uneven-structure brain hematoma model, and belongs to the technical field of biomedicine. The manufacturing method includes the following steps that S1, human-body brain data is scanned through nuclear magnetic resonance to obtain three-dimensional structure data of the skull surface, three-dimensional structure data of the grey matter surface and three-dimensional structure data of the white matter surface; S2, the three-dimensional data of the skull, the three-dimensional data of the grey matter and the three-dimensional data of the white matter are led into 3dsmax to be merged, subjected to model detail reducing and shell adding treating; S3, the model is manufactured according to the data obtained in the S2; S4, cavities corresponding to tissue are filled with corresponding simulation materials, namely, materials with the dielectric constant and the electric conductivity equal to corresponding tissue, and manufacturing of the model is completed; S5, a small rubber bag is arranged in the model, an injector is connected with the small rubber bag arranged in the brain model through a plastic conduit, and the volume of blood in the rubber bag is adjusted to simulate variation of hematoma. According to the manufacturing method, manufacturing is convenient, the result of electromagnetic waves passing through the multilayer-uneven-structure brain can be really responded, the actual condition of brain hematoma can be really simulated, and the manufacturing method can be used in the brain hematoma monitoring technology based on electromagnetism.