8937results about How to "High feasibility" patented technology

The invention provides a visual localization and obstacle avoidance method and a visual localization and obstacle avoidance system for an unmanned plane. The method comprises the following steps that an unmanned plane-mounted camera acquires visual sensing information of the unmanned plane, and acquires inertial navigation data by an inertia measuring unit of the unmanned plane; a remote control system receives visual sensing information and inertial navigation data, and obtains obstacle information in a flight environment where the unmanned plane is positioned according to the visual sensing information; an external camera performs visual localization on the unmanned plane to obtain the position information of the unmanned plane; the remote control system plans the flight path of the unmanned plane according to the obstacle information and the position information of the unmanned plane, and generates a flight control command according to the inertial navigation data and the flight path; and the unmanned plane receives the flight control command to control the unmanned plane to avoid obstacles. According to the embodiment of the invention, the problems of visual localization and obstacle avoidance of the unmanned plane are solved, and the unmanned plane has the capability of completing visual obstacle avoidance by using the plane-mounted camera and a positioning camera.

The invention discloses an autonomous location and navigation method and an autonomous location and navigation system of a robot. The method comprises the following steps: acquiring the RGB image of the robot in the current position; carrying out characteristic point matching on the RGB image of the current position and an indoor three-dimensional point cloud map, and determining the current position of the robot in the indoor 3D point cloud map; carrying out characteristic point matching on a pre-stored RGB image of a destination and the indoor three-dimensional point cloud map, and determining the position of the destination in the indoor 3D point cloud map; and searching an optimal path from the current position to the destination position in the indoor 3D point cloud map, and driving the robot to run according to the optimal path. The method and the system have the advantages of completion of autonomous location and navigation through using a visual sensor, simple device structure, low cost, simplicity in operation, and high path planning real-time property, and can be used in the fields of unmanned driving and indoor location and navigation.

The invention discloses a multi-vehicle coordinating lane changing control system and a multi-vehicle coordinating lane changing control method based on vehicle-vehicle communication, and belongs to the field of control over vehicles. The system comprises a sensing unit, a communication unit, a control unit and a human-computer interaction unit. The sensing unit is used for acquiring information of an own vehicle in real time, the communication unit is used for performing real-time interaction of information among vehicles, and the communication unit is used for making a decision of the coordinating lane changing feasibility and acquiring expected control quantities of the own vehicle and coordinating vehicles and realizing control over the vehicles. The method is based on the system, through collecting information of vehicles, i.e. the own vehicle, a front vehicle on an original lane, a front vehicle on a target lane and a behind vehicle on the target lane, motion statuses of the four vehicles having mutual effects are planned in a centralized manner in the lane changing process, and the own vehicle changes the lane smoothly through active coordinating among the four vehicles. By applying the multi-vehicle coordinating lane changing control system and the multi-vehicle coordinating lane changing control method based on the vehicle-vehicle communication, safety spaces among the vehicles can be fully used, the feasible lane changing chance is effectively increased, the lane changing safety is guaranteed, the driving comfort in the lane changing process is improved, and negative influences of lane changing behaviors on the upstream vehicles on the target lane are decreased.

Provided is a pre-equalized optical transmitter, comprises: a laser source; a duo-binary pre-coder circuit; a pre-equalization circuit for applying an inverse function of chromatic dispersion; at least two D/A converters; and an optical field modulator comprising at least two input terminals for an electric signal. The pre-equalized optical transmitter: converts, by the duo-binary pre-coder circuit, a digital information signal of a predetermined symbol time to be transmitted into a digital complex signal including one sampling point per symbol; equalizes, by the pre-equalization circuit, degradation in transmission of the digital complex signal; converts, by the D/A converters, the equalized digital complex signal into an analogue signal; suppresses an analogue signal leaking outside a Nyquist bandwidth by at least 23 dB; modulates, by the optical field modulator, light output from the laser source with the analogue signal to generate a modulated optical field signal; and transmits the modulated optical field signal.

The invention discloses a storage management method for a data collection system. The method includes the following steps: step S102 is to create one or a plurality of database tables and to partition the database tables by the time range; step S104 is to create an index of the database tables and to partition the index with the same partition rule of the database tables; step S106 is to create a new database district to add into the database tables when needing to add the data which are not included within the existing time range and to add the new data into the time-corresponding district of database tables when needing to add the data which are included with the existing time range; step S108 is to set up an index for the database table district after collecting the data corresponding to the database table district. The invention enhances the system data collecting and processing capacity and meanwhile meets the data query requirement , thus solving the contradiction between the data loading speed of the bill record data collecting system and the and real-time query requirement and meanwhile enhancing the maintainability of the stored data.

An electronic skin treatment device with an integrated specimen dispenser is disclosed, with which specimen dispense can be concurrently applied to target skin area while ultrasonic vibrations, mechanical massaging motions, galvanic stimulations, or light illuminations are used and as such a customizable, easier and better skin beautification can be achieved.

The invention discloses a smart home voice control system combined with a video channel and a control method thereof. The system comprises a gesture detection module, a human face detection module, a recognition system module, a command judgment module and a command display and confirmation module which are sequentially connected. The recognition system module comprises a lip language part and a voice part, wherein the lip language part comprises a human face tracking and positioning module, a lip language video input module and a lip language recognition module which are sequentially connected; and the voice part comprises a voice input module and a voice recognition module which are sequentially connected. By detecting control gestures and recognizing human faces and lip language information to supplement the recognized voice information, the accuracy of control commands is improved and the feasibility of using voices to control a smart home is increased. The smart home voice control system combined with the video channel has very strong interference resistance, can be widely used for various complex environment modes and is particularly suitable for the situation of high noise because of a great number of people in home environments.

The invention discloses a transformer substation patrol robot based on multi-sensor data fusion picture composition and a method thereof. The transformer substation patrol robot comprises a robot moving platform, wherein an industrial control machine, a speedometer, a speed measuring sensor, a vision acquisition device and a laser radar are arranged on the robot moving platform; the industrial control machine is connected with a journey calculation device, the vision acquisition device and the laser radar respectively; the journey calculation device is connected with the speed measuring sensor. The transformer substation patrol robot has the beneficial effects that the vision image processing position and the laser radar synchronization positioning and map establishment are two decision positioning modes, journey calculation device track plotting is a relative positioning mode, combined action of the two absolute positioning modes in picture composition is successfully achieved, the relative positioning mode is corrected by using the absolute positioning modes, and continuous correction of the journey calculation device is realized.

The invention relates to a rapid detection identification method for a specified pedestrian or vehicle in a video monitoring network. According to a target template provided by a user, accurate and rapid detection identification is carried out on a specified target in a monitoring network video. In the method, firstly, normalized scale change is carried out on a target template image and a plurality of kinds of mixed characteristics of the template image are calculated; a mixed Gaussian model is adopted to carry out background modeling on each monitoring video, and then parallel processing is carried out and area filtering and morphological postprocessing are used to extract motion foregrounds; normalized scale change is carried out on all motion foregrounds which meet a preliminary screening condition and a plurality of mixed characteristics are calculated and then weighted similarity distances between the motion foregrounds and the target template are calculated and first N objects, which are smaller than a judgment threshold and have smallest weighted similarity distances with the target template image, are returned and used as detection identification results. On the basis of ensuring the detection identification accuracy, the method significantly improves the processing speed of an algorithm through methods of parallel processing and frame skipping and the like.

The invention discloses a performance prediction and fault alarm method for a photovoltaic power station. The method comprises the following steps of: a, setting the station of the power station; b, setting the operation mode of the power station; c, judging whether required real-time data or historical data exists or not; d, predicting the performance of the power station through an experience model if the state in the step a is that a new photovoltaic power station is required to be designed and the required real-time data or historical data in the step c does not exist, and predicting the performance of the power station through a data drive performance model if the required real-time data or historical data in the step c exists; e, predicting the performance of the power station through the data drive performance model or a polynomial regression model if the photovoltaic power station in the step a is operated and the required real-time data or historical data in the step c exists, and predicting the performance of the power station through the experience model if the required real-time data or historical data in the step c does not exist; f, comparing actual performance with the predicted performance, and performing fault alarm; and g, correcting the models on line by a Kalman filtering method and returning to the step c, and otherwise, directly returning to the step e. By the method, solar energy resources can be utilized to the maximum extent, and power utilization cost can be reduced; and the accuracy of performance prediction and fault diagnosis is improved.

The invention relates to a target localization and tracking system and a method. The system comprises a plurality of cluster localization modules and command control modules, each cluster localizationmodule comprises a plurality of sensor nodes and cluster head nodes, and each cluster head node comprises an initialization module, a particle filtration module, a particle weight calculation module,a re-sampling determination module and an estimation target state module. The method which combines Kalman and particle filtration is adopted for realizing the passive localization of a target, and the computation speed is far lower than the particle filtration method on the basis of realizing high-precision localization; the localization and the track of the target is finally realized by adopting multiple sensors and being based on the observation of the direction of the target, thereby being capable of overcoming the constraint that the traditional machine-mounted or ship-mounted single station system must carry out motorization during the observation period, having no need of observing the motorization of a platform, improving the flexibility of target localization, greatly increasingthe area of a region of target monitoring localization, avoiding the shortcoming of existence of localization blind regions and having very high effectiveness, accuracy and feasibility.

The invention discloses a financial network unusual transaction community finding method based on information entropy. The method includes the specific steps of firstly, analyzing the process and the mode of an unusual transaction, and extracting features of block transactions and suspicious transactions; secondly, storing transaction amounts and traction frequency information of accounts through an adjacent matrix so as to quantize the features; thirdly, defining the information entropy of nodes; fourthly, conducting community division and finding on the financial network nodes according to the financial network unusual transaction community finding method based on the information entropy; fifthly, evaluating the community finding result. Firstly, accuracy of unusual transaction account identification and unusual transaction communication division which are achieved according to the method is calculated, and then the structure of the unusual transaction community is evaluated through the community evaluation index modularity Q. The community finding method based on the information entropy is applied to the anti-money laundering field for the first time, the money laundering accounts can be identified and tracked by finding the unusual transaction community, and unusual transactions can be prevented by analyzing the relations and the transaction laws between money laundering accounts.

The invention discloses an access control cloud management system and method based on face recognition. Through face recognition and a cloud technology thereof, a video real-time monitoring and alarming function is supplied to access control, integration of access control and video face recognition is achieved, and access control security and protection management is improved. According to the system and method, a user using threshold is low, operation is easy, the system and method can be used only by verifying personal identity information of a user, access control recognition is conducted by adopting face recognition, and therefore an access control system can easily, conveniently, rapidly and comprehensively record personnel entering and leaving information; entering and leaving of a person with the face which cannot be recognized can be forbidden, or alarming is conducted; entering and leaving information of a visitor also can be quickly generated and recorded, the security management effect can be effectively improved, and the workload of security personnel can be reduced.

A display apparatus 10 has a display screen 11 comprised of plurality of pixels displaying images based on image data, light sensors 14 to detect light entering the display screen 11 and arranged with display elements 13 to form the pixels, and compound imaging systems 20 comprised of imaging lenses 211 forming images of a subject in the light-receiving part of the light sensors 14. Images of a subject are output from the plurality of light sensors 14, and a signal processing circuit 35 synthesizes the image signals to generate image data. The image displayed by the display screen 11 is based on the image data output by the signal processing circuit 35.

The invention relates to an anti-overlap method for tracking a moving target based on mean shift and belongs to the image processing technology field. The method comprises the following steps: constructing a mean shift model and a Kalman filter model; pre-estimating by utilizing a Kalman filter to obtain the initial position of searching each frame mean shift; obtaining the outline of an object by an image difference method; and defining whether similar factors can shade the object or not. When the similar factors shade the object, the position of the object in current frame is predicted and serves as a starting point for predicting the next frame by attaching different weights to color information and movement information respectively, according to the difference of mobile status of the object. Accordingly, the linear prediction of target position replaces the function of Kalman filter. Experiments prove that the method can realize the tracking of a quickly moving object and has good robustness for shading.

The invention relates to the communication field and discloses an authentication method, a network and a system of mobile ad hoc network, which ensures the realization of layer distribution type authentication scheme of cluster mobile ad hoc network; and the requirement on computer processed resources is rational, which can be realized in practical application environment. The invention adopts a group network structure of cluster mobile ad hoc network and advocates layer distribution identity authentication scheme; and the inter-cluster communication used an improved new threshold group signature protocol which improves the original threshold group signature method based on GQ and decreases power index calculation times, improves calculation parallelism and reduces the requirement on processed resources; at the time of initialization, a certificate and a sub key are issued by the system uniformly; cluster heads which have enough numbers of sub keys can jointly recover system keys, thereby carrying out the group signature to issue certificates to new added nodes and using multi-leap serial communication for realizing united group signature.

The invention discloses a time sequence classification early warning method for a storage device. The method comprises the steps of collecting storage device parameters in real time; cleaning data; performing ARIMA time sequence analysis; and performing logistic regression analysis and early warning mechanism output. Under the background of a big data environment, time sequence prediction analysisis performed by adopting an ARIMA model according to historical data and hard disk SMART information obtained by statistics; the correlation between a SMART eigenvalue and a fault rate of the storagedevice is analyzed; and an eigenvalue more suitable for a Logistic model is selected out to perform classification prediction. A machine learning method is adopted for predicting the fault rate of the storage device, so that the problems of classification singleness and low early warning intensity in final prediction of the storage device are solved, the defects of hysteresis, low accuracy, pooractual early warning effect and difficult application to the big data environment for a disk early warning mechanism in the prior art are overcome, the occurrence probability of each early warning intensity can be predicted, and an effective solution is provided for real-time operation maintenance and monitoring in a data center environment.

A driving support system for giving a support to a driving operation of a vehicle includes a drive history database and a drive teaching unit for specifying a travel route of a vehicle subjected to a driving support. Vehicle information including information about vehicle operation is associated with pertinent route information and is registered as a drive history in the drive history database. The drive teaching unit is configured to extract a drive history corresponding to the specified travel route from the drive history database. The drive teaching unit is further configured as a guide for the driving support to teach information about the extracted drive history to a driver of the vehicle subjected to the driving support.

The invention discloses a preparation method of a modified diaphragm for a lithium-ion secondary battery as well as a prepared modified diaphragm and a preparation device and is aimed to solve the problem of lithium battery modified diaphragms in the prior art. The method concretely comprises the following steps of: (1), evenly dispersing special fiber or oxide and a binder into an organic solvent to prepare composite mixed liquid, and adding a cosolvent into the organic solvent; (2) evenly spraying the composite mixed liquid obtained in the step (1) on a polyolefin base membrane to form a primary composite membrane through an electrostatic spinning method; and (3), drying the primary composite membrane obtained in the step (2) and recycling the solvent, and then finally obtaining the finished product. The preparation method is convenient to operate and environmental friendly, can realize large-scale production and has strong feasibility.

The invention provides a completely new process route for synthesizing dexamethasone and series products thereof. The invention adopts 1, 4, 9, 16-tetraene-pregna-3, 20-diketone as the original material which is modified by 9, 11bits, 16, 17 bits and 21 bits so as to obtain the dexamethasone and the series products thereof such as dexamethasone acetate and dexamethasone sodium phosphate and the like. The process has the advantage that the invention adopts the existing intermediates of manufacturers as the original material; the route is simple; the materials are available; the use of expensive accessories is avoided; the yield and the cost are dramatically better than that of the prior methods used for synthesizing the dexamethasone and derivatives thereof; moreover, the adoption of the existing intermediates realizes the combined-line prodction of the betamethasone series products and the dexamethasone series products, thus greatly reducing the manufacturing cost and the industrial manufacturing condition.

An arrangement, for reproducing audio data of an acoustic scene, adapted for generating audio signals for at least a first and a second headphone channel of a headphone assembly, the audio signals corresponding to at least one audio object and/or sound source in the acoustic scene comprising at least one given close range and at least one given distant range arranged around a listener, the arrangement comprising a first headphone channel; a second headphone channel; a basic channel provider comprising at least a basic system adapted for reproducing audio signals corresponding to at least one audio object and/or sound source arranged in at least one distant range; a proximity channel provider comprising at least a proximity system adapted for reproducing audio signals corresponding to at least one audio object and/or sound source arranged in at least one close range.