4957results about How to "Improve universality" patented technology

A telecommunications system wherein the dialing of a directory number which has been ported triggers an intelligent network signal which is directed to the Internet. The signal is transmitted through the Internet to a database in the Internet. The database returns call set up directions which are used by the originating switching system to establish a voice link from the calling station to the station having the ported number. The intelligent network signal may be transmitted from the originating switching system to a signal transfer point (STP) and to the Internet. Within the Internet the signal is directed to an Internet database where a real number for the ported number is obtained. This is transmitted back to the signal switching point, which then uses the real number to complete the connection. In another embodiment, where a number has been ported to a station that is connected only to the Internet, the Internet database may provide a domain name address. This address is then used to establish a link through the Internet between the calling and called station. In this instance the Internet handles both the signaling and the voice connections.

The present invention is directed at a handheld power tool comprising means for receiving a tool accessory; means for rotating said tool accessory; and at least one quick connect means for use with power tool attachments.

The present invention provides a visible and controllable intelligent household control system and a control method thereof. The control system utilizes an instant image of the intelligent household electrical appliances which is caught on the spot to identify the intelligent household electrical appliances, then generates a virtual entity operation interface and / or auxiliary operation interface based on the intelligent household electrical appliance instant image or a preset image, and then users can operate and control the intelligent household electrical appliances. The control system of the present invention utilizes the instant image of the intelligent household electrical appliances to identify the to-be-controlled intelligent household electrical appliances of users, so that users do not need to select the intelligent household electrical appliances needing to be controlled from a household electrical appliance list any more, and can control the intelligent household electrical appliances as long as seeing the intelligent household electrical appliances. The virtual entity operation interface provided by the control system of the present invention is completely same with an entity operation interface, so that users have the feelings of operating the intelligent household electrical appliance entities directly. The control system is strong in visibility and good in user experience, is convenient to operate and easy to use, even can be used by the illiteracy. In addition, the control system of the present invention can be realized by a portable intelligent terminal, is simple and easy in equipment, good in universality and low in cost.

The invention discloses an intelligent control method of a driverless vehicle tracking a desired trajectory. The method is characterized by comprising the following steps of: establishing a body coordinate system, and determining the position information of the vehicle; calculating a membership degree function of a road curvature characteristic according to a radian value, and defining a fuzzy rule to calculate a decision output speed; according to the distance the vehicle runs for 1.5-2.5 seconds, searching for the trajectory points larger than the distance and closest to the vehicle in the coordinate sequence of the desired trajectory; calculating the moving curvature of the vehicle according to an adaptive proportion-differential-integral control algorithm formula; and finally judging whether the target point of the current control cycle is the last point selected from the road point sequence; if so, outputting a signal to a brake servo control system to start the brake to slow down the vehicle; otherwise, outputting a voltage signal by a controller local area network module to keep and control the accelerator opening so that the vehicle continues proceeding. Through adoption of the intelligent control method, the driverless vehicle can realize a function of tracking the desired trajectory, and has certain adaptability to the change of the road curvature characteristic.

A system for regulating access to a resource by a plurality of users is provided. The system comprises: a plurality of portable access keys, each being provided to one of the users and having an associated variable access parameter; an access barrier, having an open state allowing passage through and a closed state denying access to the resource, and defining an access queue; a sensor that determines an access queue characteristic related to a number of users in the access queue; a controller, which sets an access criterion based on the determined access queue characteristic; and a detector, located at the access barrier and which determines the variable access parameter of a portable access key when it is brought into the vicinity of the detector. The controller sets the access barrier in its open state if the variable access parameter determined by the detector meets the access criterion.

The invention discloses a service processing method, a service processing device and a data sharing system, and belongs to the technical field of networks. The method comprises the steps of: receiving a service processing request, wherein the service processing request is generated according to a table structure provided by the data sharing system; and the service processing request carries service data of a user and the signature information of the user for the service data; extracting the service data of the user and the signature information from the service processing request; generating a service data recording request of the data sharing system, wherein the service data recording request carries the service data of the user and the signature information; and sending the service data recording request to at least one node in the data sharing system. By means of the service processing method, the service processing device and the data sharing system disclosed by the invention, the technical threshold of the data sharing system is greatly reduced; multiple existing database service systems can perform seamless joint with the data sharing system; and thus, the universality of a block chain technology can be improved.

The invention relates to a full-autonomous flight control method for an unmanned aerial vehicle, provides a quadrotor unmanned aerial vehicle vision control system based on an embedded framework, and discloses a full-autonomous flight control method for a quadrotor unmanned aerial vehicle based on vision SLAM. The functions of autonomous locating and flight control of the unmanned aerial vehicle without relaying on any environment information under the environment without GPS signals are achieved. According to the technical scheme, the full-autonomous flight control method for the quadrotor unmanned aerial vehicle based on vision SLAM comprises the following steps that a camera arranged at the bottom of the quadrotor unmanned aerial vehicle is used for collecting image information, an integrated inertial navigation unit is used for obtaining the attitude angle and accelerated speed information of the unmanned aerial vehicle, the image information and the attitude angle and accelerated speed information are used for being input, and an improved vision SLAM algorithm is operated to obtain the three-dimensional position and the attitude information of the quadrotor unmanned aerial vehicle; vision position information and three-dimensional accelerated speed provided by the inertial navigation unit are fused by adopting an expansion Kalman filtering device, a PID controller is designed, and full-autonomous flight control over the quadrotor unmanned aerial vehicle is achieved. The method is mainly applied to full-autonomous flight control over the unmanned aerial vehicle.

The invention belongs to the technical field of preparing the surface of a composite structure, and in particular relates to a method for preparing super-hydrophobic antireflective silicon surface with a micron and nanometer composite structure. The method comprises the following steps: cleaning a silicon chip; preparing a micron-level silicon island and a gridding structure on the surface of the silicon chip; carrying out catalytic etching taking silver or aurum nanoparticles as blockage; obtaining the surface of the micron and nanometer composite structure; and carrying out chemical modification of the surface of the composite structure. A static contact angle between the super-hydrophobic antireflective material surface prepared by the method and water is more than 150 degrees, and a static rolling angle of water is less than 3 degrees. The surface has superior antireflective performance, and in particular, the light reflectivity within the wavelength range between 800 and 1,100 nm is less than 3 percent. With application of the method, the super-hydrophobic antireflective silicon surface of the micron and nanometer composite structure can be produced on scale, can be widely applied to a solar cell, a microfluidic chip, a photoelectric device, and the like, and has good industrial application prospect.

The invention provides an intelligent high-voltage management system of an electric car. According to the intelligent high-voltage management system of the electric car, a signal collecting system collects the car operation state, failure detection object state and car posture state in real time; an intelligent high-voltage control unit receives an instruction of a vehicle control unit (VCU) and / or a battery management system (BMS), enables a high-voltage electricity distribution system to normally distribute electricity to vehicle high-voltage equipment and feeds back the execution result to the VCU and / or the BMS; meanwhile, fault diagnosis and detection are carried out on the high-voltage electricity distribution system according to collected data and received vehicle real-time interaction data; the fault type is determined according to a preset fault database, the high-voltage electricity distribution system is made to execute the high-voltage electricity on-off control logic under the preset fault types, and the diagnosis result is stored and sent; the high-voltage electricity distribution system caries out high-voltage electricity distribution, high-voltage electricity on / off control, circuit overcurrent protection and high-voltage pre-charging on all high-voltage devices of the car according to the instruction of the intelligent high-voltage control unit. The intelligent high-voltage management system of the electric car realizes intelligent management of high-voltage electricity of the whole car, and better improves the high-voltage safety of the electric car.

The invention relates to a file information output anti-leakage and tracing method and system. The method comprises the steps of deploying a file information output operation monitoring service system in a file information output terminal; when the file information output terminal performs file information output operation, automatically performing information anti-leakage processing in file information output contents by the file information output operation monitoring system, wherein the anti-leakage processing includes the addition of invisible watermark information; performing one or more of screen switching, screen shooting, screen video recording, file copying and printout operations on file information of the file information output terminal; and converting carrier contents after file information output into image data in an electronic format, running a watermark information extraction identification program to detect the watermark information, and performing file information leakage tracing operation. According to the method and the system, the technical difficult problem of tracing after leakage of screen shooting and printout modes of the file information output terminal can be solved on the premise of not influencing the visual effect of right reading of users.

The invention discloses a method and system for connecting an intelligent household appliance into a router. The method comprises the steps that the working mode of the intelligent household appliance is set as an AP mode; an APPS is installed on an intelligent mobile terminal; the intelligent mobile terminal is connected with the intelligent household appliance; the APPS establishes TCP connection with the intelligent household appliance; the intelligent household appliance searches for a WIFI network of the router and feeds back information to the APPS; the APPS displays a list, selects the router to be connected into and transmits relevant network configuration instructions to the intelligent household appliance, so the configuration updating operation of the intelligent household appliance is completed, the working mode of the intelligent household appliance is updated to be an STA mode, and information of the router to be connected into is saved; the APPS automatically switches WIFI hotspot networks connected with the intelligent mobile terminal, so the intelligent mobile terminal is connected to the WIFI hotspot networks of the router and automatically searches for the intelligent household appliance connected into the router; the APPS reminds a user of success in operation of connecting the intelligent household appliance into the router after finding the intelligent household appliance in access equipment of the router.

The invention relates to a positioning method of weighted wireless sensor network nodes based on an RSSI and an LQI, which is characterized in that (1) the parameters of the RSSI and the LQI, which can be acquired easily from a hardware register, are used for positioning, thus the method can be realized easily and has few required hardware resources; (2) an LQI ranging model obtained by fitting experimental data is combined with an RSSI ranging model to select anchor nodes; and (3) an RSSI value and an LQI value which pass through an average filter are weighted and combined, an improved weighted centroid algorithm is used for estimating the positions of nodes to be detected, the data is broadcasted to cluster nodes, and then, the data is uploaded to a monitoring centre through a wired network. The positioning method of invention has the advantages of high positioning accuracy without being influenced by the environment easily, easy implementation of hardware, lower cost and smaller computation complexity.

Disclosed is a wireless charging system with multi-load frequency adaptability. A primary electric energy transmitting device comprises a rectifying and filtering circuit, a DC / DC conversion circuit, a drive and control circuit, an inverse circuit, a transmitting coil, an information receiving and processing circuit, a resonance compensation capacitor array and a resonance compensation inductor array. A secondary electric equipment device comprises a receiving coil, a resonance compensation circuit, a high-frequency rectifying and filtering circuit, a drive and control circuit, an information management and feedback circuit, a DC / DC conversion circuit and a battery. The information receiving and processing circuit of the primary electric energy transmitting device receives feature information fed back by the information management and feedback circuit of the secondary electric equipment device by means of wireless bluetooth communication, electric energy output frequency of the inverse circuit is controlled according to the feature information, and a working mode of the primary electric energy transmitting device is determined according to capacitor and inductor combination modes in the resonance compensation capacitor array and the resonance compensation inductor array.

The invention discloses a coastal city time sequence land utilization information extracting method. The method comprises the following steps: acquiring a remote-sensing image Landsat, and preforming atmospheric correction on the same; constructing a remote-sensing classification feature index database by selecting a group of remote-sensing classification features; acquiring data elevation image DEM data to obtain elevation data and slope data; constructing a decision rule of single-classification feature index or multiple classification feature indexes according to different land utilization types of the coastal city based on a multi-feature decision tree model, classifying the coastal city land utilization step by step according to the rule, and finally determining various branches of the decision tree, detecting the time sequence remote-sensing image change, and distinguishing a mistaken classification land type and a missed classification land type, wherein the method further comprises the content of two parts: evaluating classification precision, and outputting the land utilizationclassification map extracted based on the decision tree model. By use of the extracting method disclosed by the invention, the coastal city land utilizationclassification precision can be greatly improved, and a key problem in the coastal city land utilizationclassification is solved.

The invention relates to an SAR (Synthetic Aperture Radar) image sea-land segmentation method based on a wavelet transform and OTSU threshold. According to the method, speckle noise in an SAR image is suppressed by using the noise smoothing property of wavelet transform; then land areas are roughly segmented by using an unsupervised optimal OTSU threshold method, and the detection results under each scale are merged based on the multiscale analysis property of wavelet transform; and finally the final coastline detection results are obtained through automatic subsequent treatment and edge tracking. Compared with the prior sea-land segmentation methods, the SAR (Synthetic Aperture Radar) image sea-land segmentation method comprehensively utilizes the speckle noise suppressing and multiscale analysis function of wavelet transform and the self-adaptive, unsupervised and high-robustness properties of the OTSU threshold algorithm, and has great improvement in automation degree, universality, simplicity and applicability of high-resolution SAR images.

The invention discloses an induction method of a three-dimensional (3D) online induction system for mechanical equipment dismounting. The induction system comprise an eyeglass-type augmented reality helmet, a hand position tracking device and a computer, wherein the augmented reality helmet is provided with two display screens and two cameras; and wireless communication can be realized among the augmented reality helmet, the hand position tracking device and the computer. An induction method for realizing the three-dimensional online induction system for mechanical equipment dismounting comprises the following steps of: 1, transforming a virtual assembly model; 2, initializing the induction system; 3, recognizing the dismounting purpose; 4, generating induction information; 5, overlapping the induction information; and 6, repeating the steps 3-5 until the online product induction is finished. The method disclosed by the invention has the characteristics of accurate induction information, strong universal capability and convenience in carrying, and can be used for realizing the 3D online induction driven by requirements of operators, current situations of tasks and dismounting history and realizing the integration of product 3D design and dismounting induction.

The invention discloses an engineering mechanical airborne remote data acquisition device and a method thereof. The device of the invention comprises a central signal processing controller, a telecommunication module, an identification module, a GPS position information acquisition module, two CAN bus communication modules, a real-time clock module, a battery and charging module, a static data storage module, a power selection and self-power failure module, a power management and reset module, a programming debugging module and so on. The method of the invention comprises a transmitting cycle and a plurality of configurable and selectable acquisition cycles; time labels are provided by the real-time clock module; a real-time clock of the real-time clock module is corrected by a GPS time service clock; self-power failure is delayed; GPS latitude and longitude information adopts independent longer acquisition cycles. The device and the method of the invention have high universality, compatibility and expansibility and can meet the demand of acquiring CAN bus-based various engineering mechanical remote state data.

The invention relates to the electronic communications and video image processing field, and provides a video summary generation method, a system and a device. The method comprises the following steps: A, to receive and divide the inputted video to get candidate time point sequences; B, through the scene segmentation algorithm, to get a jumping time point sequence selected from the candidate time point sequences; C, according to the jumping time point sequence, to extract the video segment corresponding to each jumping time point, and to combine the all the video segments into a video summary and output the summary. In the video summary generation process, the invention firstly acquires the eigenvector of each video frame and selects the jumping time point sequence through hierarchical clustering, and finally extracts the corresponding video frames to form the video summary based on the jumping time point sequence, so as to cover the scene as much as possible and achieve the biggest difference among the video frames to enhance the completeness of the information of the video summary; in addition, the invention has no requirements to video types so as to improve the universality in technology application.

The invention discloses a multi-dimensionality content labeling method based on a semaneteme label database. The multi-dimensionality content labeling method based on the semaneteme label database comprises the steps of establishing the semaneteme label database, configuring extensible resource types, establishing a multi-level configurable content labeling dimensionality, dividing dimensionalities of resources according to content features to establish a multi-level content dimensionality, establishing corresponding relationship between the configurable and revisable resource types and the content labeling dimensionality, conducting resource content labeling based on the semaneteme label database, processing temporary labels, conducting resource search based on the semaneteme label database, inputting index words by a user, and conducting automatic match in the extensible database by the system. If the match is successful, the system searches corresponding images according to corresponding label labeling codes. If the match is unsuccessful, the system can match the index words with resource description information, and at the same time the system saves the index words into a temporary label database. Precision and efficiency of resource labeling are effectively improved, and good base is founded for resource search and data analysis.

The invention relates to a quick DP control method applied to PHEV, which adopts a method based on energy to define an on-vehicle storage cell SOC, and derived equations of an SOC state transition equation, a relation equation of the optimal specific fuel consumption and the power of an engine, a quadratic performance index function, a quadratic optimal performance index of the specific fuel consumption, a multiple-message merged equation for calculating the total power required for vehicle running, and the like, wherein the on-vehicle storage cell SOC is defined by the method based on energy; the SOC state transition equation has a linear form; the optimal specific fuel consumption and the power of the engine have a quadratic function form; the performance index function is in a 1*1 dimensional quadratic function form; and the optimal performance index of the specific fuel consumption is in the iteration form of the quadratic analytical function of the SOC. The quick DP control method can quickly calculate the optimal power distribution ratio of an engine / motor and the optimal speed ratio of the speed threshold of a speed changer, realize the economical global optimal control of fuel, and ensure that the on-vehicle storage cell SOC is maintained in the expected operation interval.

The invention belongs to the technical field of vehicle active safety, and particularly provides a rollover warning method and a rollover warning device for a heavy vehicle. The rollover warning method and the rollover warning device are low in cost, are free of influence on heavy vehicle load and mass center height, and can warn impending rollover accidents of the heavy vehicle in the next period of time in advance. The method solves the problem that an existing heavy vehicle rollover warning method can warn a vehicle rollover risk in a static threshold value mode but cannot warn an impending rollover accident to a driver in advance. The rollover warning method adopts a classical Kalman filtering technology to simplify a rollover warning model in a combination mode, the motion state of the heavy vehicle is accurately estimated, and then a TTR algorithm is utilized for predicting the rollover risks in the next period of time. The warning algorithm has better universality, and meanwhile prevents inaccurate or invalid warning caused by the changes such as the load, center-of-gravity position and rotary inertia of the heavy vehicle.

The invention provides a focus image detecting device. The focus image detecting device comprises an image obtaining module which obtains a medical image to be detected; A detection module that detects a lesion of the medical image according to the trained neural network model; Wherein the neural network model comprises an M-level neural network structure cascaded in sequence, and when training, anegative sample input to the second to M-level neural network structures comprises a false positive sample of the upper-level neural network structure, and M is a positive integer greater than 1.

The invention discloses a power line three-dimensional reconstructing method based on airborne laser radar point cloud. Data of the airborne laser radar point cloud have been correctly classified. The method includes the following steps: 1, loading the correctly-classified data of the airborne laser radar point cloud and initial line track data of an overhead transmission line; 2, extracting accurate information of the positions and the number of electric towers and the track of the power transmission line, and determining the total number of spans of the power transmission line; 3, determining the two-dimensional space range and power line laser radar points of each span of the power transmission line; 4, clustering the determined power line laser radar points of the spans; 5, carrying out power line three-dimensional reconstruction. According to the power line three-dimensional reconstructing method, the number of required parameters is small, the automation degree is high, robustness and universality are better, and the power line three-dimensional reconstructing method has the advantage of being insensitive to the factors such as the number of power lines, the types of the power lines, the power line space arrangement structure, gross error points, point-cloud irregular breaking and the line length; in addition, a reconstruction model has the high reconstruction accuracy.

The invention relates to the technical field of image processing of overhead contact lines and discloses a method for positioning insulators. The method specifically includes the following steps that the image of the insulators in a routing inspection line supporting device is shot; description sub-features of the gradient direction histrogram of all parts in the image are matched with an insulator feature library, and a roughly positioned local image is output according to a matching result; the roughly positioned local image is pre-processed; edge lines of the output image are taken, the periodically changed parts in gray waveforms of the edge lines are extracted, and the insulators are accurately positioned through a contour extracting algorithm; the insulators are extracted. The insulators in the image are accurately positioned according to the light and shade spaced periodical change features of the insulators in the image. The method does not depend on light reflection features of brightness and ceramic glaze and is suitable for both night shooting and daytime shooting, high in positioning accuracy and small in scene light dependency.

The invention discloses a 3D printing device and method. The device comprises a printing chamber, a feeding device, a moving support, a printing spray head, a heating body, a pneumatic controller, a printing platform, a mechanical arm and a repairing tool bit. 3D printing is conducted in a melt extrusion condensing mode, the temperature difference of a material sprayed by the printing spray head and a workpiece is strictly controlled, the consistence and quality of the printed and condensed material are guaranteed, the requirement for the material is low, and most of the material can achieve 3D printing. In addition, the printing chamber is provided with the mechanical arm and the repairing tool bit which are used for printing and repairing on the workpiece at the same time, and the 3D printing technology is finally achieved. The 3D printing device and method have the advantages that precision is high, and the range of materials which can be machined is large.

The invention relates to a color image enhancement method based on color constancy, which comprises the following steps: firstly, the brightness gain of each pixel is calculated in a self-adapting manner by utilizing a quadratic function according to the brightness mean value of the color images; secondly, the color gain and proportion parameter are calculated, the brightness gain effect is reinforced, and the color brightness is improved at the same time; and finally, margin specific information is extracted, the translational parameter is calculated, the enhanced image is subject to margin restoration, and the final color enhancement image is obtained through utilizing the proportion parameter and the translational parameter. According to the invention, under the condition of ensuring the color constancy, the contrast degree and brightness are effectively improved, the favorable specific integrity is maintained, better enhancement effect of images under various lighting conditions can be obtained, and preferable universality is realized.

The invention discloses a method for targeted knockout of a gene ALK6 by using CRISPR-Cas9. The method comprises the steps of carrying out homologous comparison on a plurality of species so as to select two pairs of gene ALK6 target sequences, synthesizing DNA double strands, of which two pairs of target sequences are different and expressed proteins are the same and which have the same BsmBI cohesive ends, by using PAM design principles of gRNA, connecting the double strands with plasmid pPDNA330 so as to obtain recombinant vectors carrying ALK6 homologous genes of a plurality of species, detecting gene knockout efficiency of the recombinant vectors by using a fluorescin expression method, carrying out transfection on a vector with higher knockout efficiency with recipient cells of a plurality of species, and carrying out gene knockout and verification, thereby completing simple, efficient and accurate gene knockout of genes ALK6 of a plurality of species.

The invention relates to an on-site intelligent mobile information service system. The system utilizes the mobile terminals such as mobile phones and the sensing and short-distance communication technologies to obtain the identification of the each special mobile terminal of people in site or environmental units, the mobile Internet technology is utilized to transmitted the identifications to the telecommunication server of a website server; and the telecommunication server transmits the personal data and related information corresponding to the identifications back to the mobile terminals such as mobile phones through database retrieval, and the users of the mobile terminals can perform selective on-line communication or control to the people or devices in site according to the received data and information, thus effectively improving the efficiency and success rate of the social activities such as the production, operation, business and public relation of enterprises and personal marriage and friend-making.

The present invention discloses a human body behavior prediction method based on human body skeleton movement information, comprising the following steps: calculating a normalized relative orientative feature of each articulation point of each limb by using human body skeleton information extracted from an RGB D image; carrying out dynamic segmentation on a feature sequence by using a segmentation method based on feature sequence potential difference so as to acquire a posture feature sub-sequence and an action feature sub-sequence; extracting a key posture and an atomic action from the posture feature sub-sequence and the action feature sub-sequence, and constructing a multi-layer graph model based on the key posture and the atomic action; extracting a human body sub-behavior pattern contained in the multi-layer graph model, and constructing a context probability statistical model of the human body sub-behavior pattern; and carrying out identification and prediction of the human body sub-behavior pattern. The human body behavior prediction method based on the human body skeleton movement information has strong robustness for body differences, spatial position differences and the like between different individuals, has strong generalization capability for action differences between different individuals in the same category of behaviors, and has strong identification capability for the action similarity between different categories of behaviors.

The invention discloses a land surface soil moisture downscaling method based on multisource remote sensing satellite merged data and is particularly applicable to cloudy and rainy areas. The method comprises the following steps: collecting and arranging a passive microwave soil moisture data set, an LST (land surface temperature) and NDVI (normalized difference vegetation index) data set and DEM(digital elevation model) data; performing spatial interpolation on LST images with serious pixel deletion affected by cloud and rain by adopting an NDVI and DEM data set as auxiliary data to obtain aday-by-day LST data set almost totally covering a research area; constructing a mathematic relation model for microwave soil moisture with optical remote sensing LST and NDVI by a geographical weighted regression model, and obtaining a land surface soil moisture data set with high spatial resolution with the mathematic relation model. Through the adoption of the method, reliability of a descalingresult and universality of descaling in the wide-range research area are improved effectively, and precision and efficiency of wide-range space mapping and monitoring for soil moisture content in thecloudy and rainy areas are improved.