3571results about How to "High precision" patented technology

A projection exposure apparatus which has a projection optical system and projects a pattern onto a substrate through the projection optical system is disclosed. This apparatus includes a sensor unit which comprises a light-receiving element for detecting light incident through the projection optical system, a vessel in which the light-receiving element is arranged, and a sealing window which transmits the incident light and seals the vessel. A space between the sealing window and the light-receiving element is filled with a medium having a refractive index greater than 1.

A speech recognition unit performs speech recognition on input speech based on models, such as HMMs, and supplies a speech recognition result to a dialog management unit. The dialog management unit forms a reply to the speech recognition result. In this case, the dialog management unit detects zones in which the speech recognition result is correct based on the speech recognition result and the associated reply, and feeds them back to the speech recognition unit. Then, the speech recognition unit performs on-line adaptation of the models based on the speech of the correct zones fed back from the dialog management unit and the associated speech recognition result.

The invention belongs to the technical field of electric power system forecasting and controlling, in particular relating to a method for forecasting short-term power in a wind power station. The method comprises the following steps: firstly, acquiring actual measured wind speed and power data, and processing the acquired data by adopting a differential autoregressive moving average model and a power forecasting model based on the combination of wavelet transformation and a neural network, thus obtaining a super short-term forecasting power; then acquiring the wind speed, wind direction, air temperature, humidity and atmosphere pressure data of different heights, processing the acquired data by adopting a BP (back propagation) neural network, a self-adaptive fuzzy neural inference system model and a least square support vector machine model through a power combination forecasting method based on a maximal information entropy principle, thus obtaining short-term forecast power; and finally processing the super short-term forecast power, the average error of the super short-term forecast power, the short-term forecast power and the average error of the short-term forecast power which are utilized as input by a combination forecasting method based on the BP neural network, thus obtaining the final short-term forecast power. According to the invention, the accuracy of forecasting power in 72 hours in the future in the wind power station is improved, and a reference is provided for the resonable dispatch of a power grid.

The invention belongs to the field of numerical control machine tool wear measurement, and discloses a numerical control machine tool wear monitoring method. In the method, servo drive motor current signals of a numerical control machine can reflect the change of a cutting load along with the tool wear; the acquired servo drive current signals are analyzed; the signals are decomposed in a frequency domain by a wavelet packet decomposition technology, and time-frequency domain characteristics of the signals in each frequency domain range are obtained and a plurality of characteristics stronglycorrelated to the tool wear are automatically selected; the tool wear process is learned through a neural network and a tool wear rule is obtained; in reverse, the tool wear characteristics are obtained in real time and are matched with the tool wear rule obtained through learning so as to monitor the tool wear state. The method solves a problem that the conventional tool wear monitoring method cannot realize online real-time monitoring, the servo drive signals of the numerical control machine are utilized, the integration with a numerical control system is easy to realize, the monitoring cost is reduced and the monitoring accuracy is ensured.

The present invention relates to an advertisement recommendation method, comprising: receiving an advertisement recommendation request; acquiring a user tag that is modified according to feedback information and that corresponds to a user in the advertisement recommendation request, wherein the feedback information comprises positive feedback information and negative feedback information; screening out a candidate recommendation advertisement according to the modified user tag; calculating, according to an estimated click model, an estimated click possibility of each candidate recommendation advertisement for the user on a current display page; calculating, according to an estimated non-interest model, an estimated non-interest possibility of each candidate recommendation advertisement for the user on the current display page; and screening out a target recommendation advertisement from the candidate recommendation advertisement according to the estimated click possibility and the estimated non-interest possibility. In an advertisement recommendation process, both positive feedback information and negative feedback information are considered, and advertisement recommendation accuracy is improved. Further, an advertisement recommendation apparatus is further provided.

The invention provides a power line patrol unmanned aerial vehicle navigation system based on GPS RTK technology. The power line patrol unmanned aerial vehicle navigation system comprises one or a plurality of unmanned aerial vehicle movement stations, a plurality of reference station subsystems and a ground station monitoring subsystem. The plurality of reference station subsystems are respectively configured on power line towers, wherein the plurality of reference station subsystems are used for transmitting GPS differential data to the unmanned aerial vehicle movement stations through a wireless data transmission system. The unmanned aerial vehicle movement stations are used for obtaining centimeter-grade-precision navigation information through the GPS RTK differential technology. Furthermore real-time monitoring for the unmanned aerial vehicle movement stations and each reference station subsystem by the ground station monitoring subsystem is realized through the wireless data transmission system.

A method for indicating one-way latency in a data network, with continuous clock synchronization, between first and second node having clocks that are not synchronized with each other includes a continuous synchronisation session and a measurement session. The method repetitively sends predetermined synchronization messages from the first node to the second node and from the second node to the first node, calculates a round trip time for each message at the first node, updates a synchronization point if the calculated round trip time is smaller than a previously calculated round trip time, stores the updated synchronization points of a synchronization window, and calculates a virtual clock from the updated synchronization points of the synchronization window. The measurement session collects multiple measurements of one-way latency between the first and second nodes using the virtual clock, and generates a latency profile by interpolating the multiple measurements.

The invention discloses an unmanned aerial vehicle scene matching auxiliary navigation method and system. The method mainly comprises seven steps as follows: acquiring and preprocessing an image, extracting local characteristics of the image, establishing a reference map vocabulary tree model, selecting a reference image matching area, realizing image matching, removing wrong matching points and correcting the navigation error. Through the invention, the best reference map can be selected in real time from a large reference image database, and accurate matching is finished; and the method and system are used for a high-accuracy positioning or auxiliary navigation process. The method and system disclosed by the invention have the advantages of good real-time performance and high accuracy, and are suitable for an unmanned aerial vehicle-borne processor.

Based on user's request, looking up server content list, which holds all information of servers, is carried out. The servers containing requested content are obtained through search. Based on actual working condition, the servers possible to provide content are selected out. The optimal server is determined through dynamic optimization selection. The server content list reflects IP addresses of servers, as well as ID, name and route of content. The state table, which is updated and receives report from each server, of server reflects instant operating states of each server. The server possible to provide content is determined after eliminating servers with unhealthy content and high load. The invention provides the method for balancing loads in high efficiency and low cost.

The invention discloses a precise positionable and compensable heavy-load mechanical arm which comprises a power device, a base, an arm assembly, a wrist assembly, a flexible claw and an automatic control system. The arm assembly comprises a lower arm assembly, a middle arm assembly and an upper arm assembly. The precise positionable and compensable heavy-load mechanical arm can adapt to a heavy-load working environment in a hydraulic drive mode, and on the basis, an external control system sends an instruction to an electric spindle according to information fed back by external and internal sensors and the like, so that a first connecting rod mechanism and a second connecting rod mechanism which are in transmission connection with the electric spindle perform fine adjustment compensation on the aspects of distance, angle and the like of the mechanical arm, and the precise effect can be achieved. When the mechanical arm is used, various sensor and computer control technologies are combined, so that working state monitoring can be achieved in the working process of the mechanical arm, precise mechanical arm operation can be ensured, meanwhile transmission errors of a transmission chain are decreased by using the electric spindle and other matched parts, the transmission accuracy is improved, and precise motion and safety guarantee of the wrist and the flexible claw is achieved.

The invention provides a method and a device for forecasting reservoir yield, wherein the method comprises the following steps of: acquiring stratum parameters including stratum pressure and fluidity according to the stratum and fluid property information which is acquired by using a cable type stratum tester; acquiring well head pressure and well bottom flowing pressure according to the flowing process of a fluid from a well bottom to a well head; generating the natural yield of a well bottom fluid according to the stratum parameters, skin coefficients, the well bottom flowing pressure and conventional well logging information comprising the oil supply radius and the well bore radius of an oil well, the effective thickness of a stratum and the volume coefficient of the fluid; acquiring fluid parameters comprising a gas-oil ratio and a fluid density according to fluid property information; generating the yield of a well head fluid according to the well head pressure, the well bottom flowing pressure and the fluid parameters; acquiring a well head optimum coordination capacity according to the natural yield of the well bottom fluid and the yield of the well head fluid; and forecasting the reservoir yield according to the well head optimum coordination capacity. By using the invention, the forecasting precision of the reservoir yield can be greatly improved.

The invention relates to a wheel-type X-ray flaw detection robot device which comprises an X-ray flaw detection device, a remote wireless transmission device, a computer control device, a differential GPS (Global Positioning System), a fuel battery (or lead acid battery pack) and a robot body, wherein four infrared cameras are arranged on the robot body, and real-time images are remotely transmitted to an operator through video transmission equipment; a direct current voltage regulator is adopted in the controller of an X-ray generator; and the regulator is connected with an inverter by a tube voltage regulation knob, so that the tube voltage of the X-ray generator can be regulated. The operational control and operational state of the robot body are as follows: a digital data radio is adopted to transmit filed signals to an upper control computer; video signals are displayed on a display with visual display and convenient operation; isotope sources are not used, thereby meeting the requirement for environment protection; and a suspension system enables the robot body not to deflect and turn laterally on pipelines and rocks.

The invention provides a display panel, a display device and a manufacturing method of the display panel. The display panel comprises a substrate; an array layer which is arranged on one side of the substrate; a luminescence functional layer which is arranged on one side away from the substrate of the array layer and comprises an anode layer, an organic light-emitting layer and a cathode layer which are arranged along the direction away from the substrate; and a thin film packaging layer which is arranged on one side away from the array layer of the luminescence functional layer and completelycovers the luminescence functional layer and comprises a first inorganic packaging layer, a first organic packaging layer and a second inorganic packaging layer which are arranged along the directionaway from the substrate, wherein the edges of the orthographic projection of the cathode layer, the first inorganic packaging layer and the first organic packaging layer on the display panel are overlapped, and the second inorganic packaging layer covers the luminescence functional layer, the first inorganic packaging layer and the first organic packaging layer. According to the display panel, the manufacturing process can be simplified and the accuracy of the cathode patterning technology can be enhanced.

A waveguide plate and a process for making the waveguide plate with a plate-like glass substrate (1), carrying a waveguiding layer (2), with at least one coupling grating on the surface carrying said waveguiding layer (2), which coupling grating is formed as a grating of lines with a period between 150 nm and 1000 nm, the extension of said grating being at least 5 cm with lines parallel to one another, wherein the coupling angle () varies by not more than 0.1_/cm along a line of said grating and wherein the absolute value of the deviation of the coupling angle () on said waveguide plate, from a predefined desired value, does not exceed 0.5_. The deviation from the average value of the coupling angle does not exceed 0.3_, preferably not 0.15_ on the whole waveguide plate. The waveguide plate is suitable as part of a sensor platform and of an arrangement of sample compartments for chemo-and bioanalytical investigations in order to produce a coupling grating formed as a line grating with a grating period between 100 nm and 2500 nm

An orphan detector. The orphan detector processes out-of-domain utterances from a targeted language understanding dialog system to determine whether the out-of-domain utterance expresses a specific intent to have the targeted language understanding dialog system to take a certain action where fallback processing, such as performing a generic web search, is unlikely to be satisfied by web searches. Such utterances are referred to as orphans because they are not appropriately handled by any of the task domains or fallback processing. The orphan detector distinguishes orphans from web search queries and other out-of-domain utterances by focusing primarily on the structure of the utterance rather than the content. Orphans detected by the orphan detector may be used both online and offline to improve user experiences with targeted language understanding dialog systems. The orphan detector may also be used to mine structurally similar queries or sentences from the web search engine query logs.

The invention provides a method for determining timing advance (TA), a terminal device, a network side device and a communication system. The method comprises the following steps of: receiving a CSI-RS configuration or activation message of the network side device, wherein the message is used for configuring or activating a CSI-RS; transmitting a synchronization signal to the network side device on the basis of the CSI-RS configuration or activation message; receiving a TA adjustment message transmitted by the network side device, wherein the message carries a TA value determined by the network side device on the basis of the synchronization signal; on the basis of the TA value carried in the TA adjustment message, determining the TA value corresponding to the configured or activated CSI-RS. The synchronization signal is transmitted by a terminal to a network side on the basis of the CSI-RS configuration or activation message of the network side, and the corresponding TA value is calculated by the network side on the basis of the synchronization signal and then returned to the terminal, thus the terminal is enabled to learn the corresponding relation between the TA value and the CSI-RS, thereby the precision of uplink timing is raised, and uplink synchronization is realized.

The invention discloses a high-fineness urban three-dimensional modeling method and relates to the field of three-dimensional digital urban construction, airborne LIDAR (light detection and ranging) is adopted for acquiring original aerial survey data result, and an urban high-precision digital elevation model, a digital orthophoto map and a building three-dimensional body frame model are manufactured on the basis, thereby forming a foundation framework of an urban three-dimensional scene; then a vehicle-mounted movable laser scanning device is used for acquiring vehicle-mounted movable laser scanning original data result, and a high-fineness model of all types of opuscules and ground objects of an urban is acquired by performing the ground object high-fineness three-dimensional modeling under the mode of fusing vehicle-mounted point cloud after precision optimization with a photo according to a ground object parameter model base under the three-dimensional modeling environment; and the foundation framework of the urban three-dimensional scene and the high-fineness model of all the types of the opuscules and the ground objects of the urban are integrated, thereby acquiring a high-fineness three-dimensional virtual urban scene of the urban. With the adoption of the method, production efficiency is improved, project cost is reduced, development cycle is shortened, modeling fineness is improved, and actual application needs can be met.

The invention discloses a road foundation layered vertical settlement and transversal displacement automatic monitoring device and a monitoring method thereof in the technical field of optical measurement. The invention adopts a technical proposal that the automatic monitoring device comprises a measuring and positioning unit, a laser displacement sensing unit, a laser angle sensing unit, a measuring signal control unit, a measuring data transmission unit, a central processing unit and a power module; and the automatic monitoring method comprises: firstly, assembling various devices; secondly, starting a pulling device, stopping the device when a positioning sensor arrives at a position of a magnetic ring, measuring displacement data and angle data, and transmitting the data to the central processing unit for storage; thirdly, restarting the pulling device, and repeatedly measuring and saving the data until a measuring tube contacts a limit switch; and processing all the data of the central processing unit, and obtaining road foundation vertical settlement and transversal displacement parameters. The automatic monitoring device and the automatic monitoring method apply laser measurement technology, improve the measurement precision and the measurement depth, and simultaneously realize remote automatic monitoring.

The invention relates to a gesture recognition method and a gesture recognition device. The gesture recognition method comprises a training step and a recognition step, wherein the training step comprise the sub-steps of: S1, synchronously acquiring a to-be-trained image with depth information and color information; S2, based on the depth information, determining a primary hand outline; S3, based on color information, determining a precise hand outline; S4, calling the depth information and the color information of the precise hand outline, determining a weighted average by self-adaption weighting to establish a three-dimensional gesture model, and training the three-dimensional gesture models of a plurality of to-be-trained images by using a classifier method to obtain an optimized three-dimensional gesture model. The recognition step is the same as the extraction mode of hand outline, and the optimized three-dimensional gesture model can be obtained according to S4, and the corresponding three-dimensional gesture is recognized. By using the depth information and the color information for recognition, the method has the advantages of high accuracy and high precision.

The invention discloses an electrocardiography comprehensive sorting method based on deep learning algorithm. The method comprises the following steps of acquiring original electrocardiography waveform data and electrocardiography additional information as well as electrocardiography rhythm information, representative PQRST waveform data, conducting waveform classification to the related information via trained first deep learning algorithm to achieve a first sorting result, conducting trained second deep learning algorithm to related information to achieve P wave, QRS wave and T wave data and calculating representative PQRST wave featured data and inputting the above into a traditional electrocardiography computer for automatic sorting algorithm to achieve a second sorting result, and adding weight to adjust the sorting results and designating a sorting result having the maximum grade value as a final sorting result. Characteristics of electrocardiography classification are rationally combined; the deep learning method is trained via the above steps and waveform classification is conducted via the deep learning method, so accuracy of sorting result of the electrocardiography explanation can be improved.

The invention discloses an eye location method and a device, wherein the eye location method comprises: obtaining information of glasses of a facial image which is to be located,primary locating the eye position of the facial image according to the information of glasses, confirming the opening and closing state of the eyes of the facial image according to the primary located eye position, locating the eye position according to the opening and closing state of the eyes. The eye location method and the device solve the problem that the accuracy of eye location is poor in relative technology, eye location accuracy is improved and speed and accuracy of face identification are further improved.

The invention discloses a monocular vision positioning system in a dynamic environment and a method thereof. According to semantic meaning, elimination of a dynamic object characteristic is realized.An environment image is acquired in real time through a monocular image camera. In the image, object detection is realized through a convolutional neural network, thereby obtaining the semantic meaning of the object. Furthermore determination of a dynamic object is realized according to priori knowledge. The characteristic in the image is extracted by means of an ORB algorithm, and furthermore thecharacteristic points of the dynamic object are eliminated according to the position of the dynamic object. Local bundle adjustment is performed on the gesture and the 3D point coordinate of the camera, thereby eliminating influence of the characteristic points of the dynamic object and improving positioning precision.

In a process in which a control signal having a low level is output from an ON/OFF control circuit to series regulators connected to LEDs serving as lighting targets to turn ON the LEDs in accordance with digital communication information, the ON/OFF control circuit calculates a specified current value to be supplied to the LEDs serving as the lighting targets and compares the specified current value with a detected current value which is detected by a current detecting circuit, and outputs a stop signal to a control circuit on the assumption that a current flows without the series regulators with grounding generated on a cathode side of any of LEDs when the detected current value is greater than the specified current value. When the control circuit turns OFF an NMOS transistor in response to the stop signal, an operation of a switching regulator is stopped.

The invention provides a high precision map path planning system, comprising the following modules: a matching module for acquiring a starting point and an end point of a planned path, and matching the starting point and the end point on a traditional map and a high precision map; a traditional map path planning module for planning a shortest path road list between the starting point and the end point on the traditional map; a conversion module for reading a prestored traditional map and high precision map corresponding table, and converting the road list to a lane interval on the high precision map according to the corresponding table; a high precision map path planning module for acquiring a recommended lane and the corresponding relation between the recommended lane and a traditional map road at the lane interval on the high precision map by means of a Dijkstra algorithm. The invention also provides a high precision map path planning method.

The invention discloses a pedestrian detection method based on deep learning and a detection device. The method comprises the steps that video data is acquired; multiple key areas where pedestrians possibly exist are positioned according to the video data; the key areas where pedestrians possibly exist are subjected to multiple iterations through a deep convolutional neural network, and pedestrian features after adjustment and filtration are obtained to judge whether pedestrians exist in the key areas; and if pedestrians exist in the key areas, a bonding frame and credibility of each pedestrian detection result are output. When the method is applied to pedestrian detection, the detection effect of the key areas and the detection effect of the pedestrians in the key areas can be improved, the purpose of high-definition video real-time pedestrian detection required by a true application scene is achieved, detection precision and detection efficiency are both improved, and the method is simple and easy to realize.

The invention provides a semantic image segmentation method and system based on edge enhancement. The method comprises the steps of preprocessing an input image; establishing an edge enhancement network model, wherein the edge enhancement network model comprises a lightweight edge network and a deep semantic network; inputting the preprocessed image into a lightweight edge network, and adaptivelypaying attention to local edge information of the image by utilizing a spatial attention module; inputting the preprocessed images into a deep semantic network in batches, and optimizing the output ofthe deep network at different stages by using a channel attention module; carrying out cascading dimensionality reduction on the obtained features, fusing feature information of different levels, andadopting a channel attention module to perform optimization; performing normalizing to obtain an image segmentation result predicted by the edge enhancement network model; and calculating cross entropy loss and focus loss of the predicted segmentation image and a given standard segmentation image so as to respectively supervise output of the lightweight edge network and the deep semantic network,and updating model parameters of the edge enhancement network by using a random gradient descent method so as to realize accurate segmentation of an input image.

The invention discloses a method for recognizing intelligent terminal touch screen gestures. The method includes the following steps that (1) an intelligent terminal enters a standby state, the gesture recognition function of a touch screen is started, and a user makes a gesture on the touch screen; (2) touch screen firmware recognizes the current gesture, whether the touch screen firmware can recognize the current gesture is judged, if the touch screen firmware can recognize the current gesture, the step (4) is conducted, and if the touch screen firmware can not recognize the current gesture, the step (3) is conducted; (3) a CPU of an intelligent terminal system is awakened, the stroke recognition function of the CPU is started at the same time, the current gesture is judged through the stroke recognition function, then a gesture symbol is sent to the touch screen firmware, the touch screen firmware stores the gesture symbol, and then the step (4) is conducted; (4) the intelligent terminal system is awakened, a screen body of the touch screen is lightened, and then the user accesses to a corresponding application of the gesture. The method has the advantages of being high in gesture recognition accuracy and low in power consumption.

A second latch latches the output data of a first latch using a third clock having the same frequency as that of a first clock. A third latch latches the output data of the second latch using a second clock having a frequency N (N represents an integer) times that of the first clock and the third clock. The second clock and the third clock have a frequency division/multiplication relation therebetween.

The invention discloses a mobile terminal and a method for obtaining the position information of the mobile terminal. The method for obtaining the position information of the mobile terminal comprises the following steps that a satellite positioning module of the mobile terminal is turned on and then turned off after the current position information of the mobile terminal is obtained, and the current position information is used as initial position information; the movement information of the mobile terminal is collected by a sensor module of the mobile terminal, and the displacement variation of the mobile terminal is calculated in accordance with the movement information; and the actual position information of the mobile terminal is obtained in accordance with the initial position information and the displacement variation of the mobile terminal. By using the mobile terminal and the method for obtaining the position information of the mobile terminal, the power consumption of the satellite positioning module can be reduced.

A receiver for a code division multiple access system includes a pilot symbol producing section, a frequency offset estimating section and a local signal generating section. The pilot symbol producing section produces pilot symbols of complex vector expression from a received radio frequency (RF) signal based on a first local frequency signal and a second local frequency signal. The first local frequency signal has a frequency obtained by shifting a frequency of a carrier signal by an IF frequency and the second local frequency signal has a frequency equal to the IF frequency. The pilot symbols have been subjected to inverse modulation to remove a modulation component. The frequency offset estimating section carries out in-phase adding operations to the pilot symbols of the complex vector expression over a predetermined interval in accordance with a predetermined pattern. Then, the frequency offset estimating section carries out a complex adding operation of results of the in-phase adding operations, and determines a frequency offset from a result of the complex adding operation. The local signal generating section generates the first and second frequency signals based on the determined frequency offset.