7680results about How to "Versatility" patented technology

In a mobile communicating system, a mobile terminal has a position information detecting unit for detecting position information, a position information transmitting unit for transmitting the position information to an information center, an up-load data transmitting unit for transmitting up-load data to the information center and an information / service utilizing unit for utilizing information / service from the information center, whereas the information center has an accumulating unit for accumulating information / services, a retrieving unit for receiving the position information from the mobile terminal to retrieve the information / services in the accumulating unit, an accumulation controlling unit for accumulating the up-load data in the accumulating unit, and an information / service transmitting unit for taking out the information / service retrieved by the retrieving unit from the accumulating unit and transmitting it to the mobile terminal, thereby providing not only map information showing the current position of the mobile terminal but also information of facilities on the map to the mobile terminal.

The invention discloses a navigation method and system based on speech command, relating to the technical field of vehicle navigation. Vehicle navigation can be realized through the speech command of an independent speaker by only pressing a key. After the user presses a start key of a one-key control device arranged on a fixed part of the vehicle, terminal equipment establishes voice conversation connection with a VSP server and the system enters into the automatic response state. The VSP server analyzes the speech command of the user by speaker-independent speech recognition technology and sends the analysis result to the terminal equipment, and the terminal equipment starts a navigation module according to the analysis result and displays the obtained analysis result to the user, and the user can complete the operations on the terminal equipment via the speech command. The invention is mainly used for vehicle navigation.

An unmanned aircraft includes a propulsion system having a diesel or kerosene internal combustion engine and a charger device for engine charging. The propulsion system can be a hybrid propulsion system or a parallel hybrid propulsion system.

The invention relates to an intelligent home system which comprises a server and intelligent home terminals having a browser function, wherein the server at least comprises an intelligent home WEB server, on which various home Web services are integrated; the intelligent home WEB server is externally connected to an internet, for realizing various remote control of a user; the intelligent home WEB server is internally connected to each of the intelligent home terminals through a local area network; the intelligent home terminals are connected to at least one control terminal in wired or wireless manner, for finishing information transformation between the server and the control terminal and sending transformed information to the intelligent home WEB server or the control terminal; the control terminal, as an actuator of the intelligent home system, is directly connected to various domestic appliances, for directly controlling the domestic appliances; the intelligent home terminals are provided with fixed IP (Internet Protocol) addresses; and the control terminal connected to the intelligent home terminals is used for uniformly addressing.

This invention discloses a flash file system management method, which comprises the following steps: to divide the flash memory into FAT area and data memory area; to establish the space mapping form and to write the data block of each file into the block; to write the new file ID, block number, file researching number into the record; then to orderly write each data block into the spare block and to write each data block number into relative positions of the space mapping form; only to operate the file data memory area when updating file data; to identify the place of the data to be read when reading the data for searching the data block.

A robot aided surgical system for the bone setting operation with the locking intramedullary nail is composed of multifunctional automatic operation bed, robot, bone setting regulator on said robot, bone fixing mechanism, high-accuracy full-automatic X-ray machine with C-shaped arm, navigation robot, robot controller, master hand control station, and slave hand control station.

The invention brings forward a streamlined acceleration system of an FPGA-based depth convolution neural network. The streamlined acceleration system is mainly formed by an input data distribution control module, an output data distribution control module, a convolution calculating sequence serialization realizing module, a convolution calculating module, a pooling calculating sequence serialization realizing module, a pooling calculating module, and a convolution calculating result distribution control module. Moreover, the streamlined acceleration system comprises an internal system cascade interface. Through the streamlined acceleration system designed by the invention, highly efficient parallel streamlined realization can be conducted on an FPGA, problems of resource waste and effective calculation delays caused by filling operations during calculation are effectively solved, the power consumption of the system is effectively reduced, and the operation processing speed is greatly increased.

The invention provides a route planning method based on a multi-target glowworm swarm algorithm and belongs to the technical field of route planning. The method includes: modeling a route planning problem, initializing the multi-target glowworm swarm algorithm, updating the glowworm position, determining a non-inferior solution set, updating an external archived file, judging whether a preset maximum iteration number is achieved or not, and determining a Pareto optimal route. The basic glowworm swarm algorithm is improved based on the Pareto dominant conception, and global searching and parallel computing capacities of the glowworm swarm algorithm are well used. Multiple route performance indexes are considered simultaneously during planning, a group of Pareto optimal solution sets can be obtained by planning once, and high flexibility is achieved. Further, the route panning method is different from traditional route planning methods for a single target and route planning methods of using a weighing method to convert multiple targets into the single target, and can better meet practical requirements of route planning.

The invention relates to chemical / ionic / physical compounding cross linking hydrogel and a preparation method thereof. The hydrogel is polymerized in a way that olefin monomer M1, a chemical cross-linking agent M2, multivalent ion biomacromolecule M3, an ionic cross-linking agent M4 and a physical cross-linking agent M5 are dissolved in water. The method comprises the following steps: preparing chemical / physical cross linked gel prepolymerization liquid, preparing chemical / ionic / physical cross linked gel prepolymerization liquid and preparing and purifying chemical / ionic / physical compounding cross linked gel. According to the invention, the characteristics and properties of the chemical cross-linking agent, the physical cross-linking agent and the ionic cross-linking agents are taken into consideration comprehensively, the compounding cross linking of molecular chains is realized; the prepared hydrogel is optically transparent and has higher mechanical ductility and rebound elasticity; the mechanic, optical and thermal performances and other performances can be regulated conveniently by controlling technology parameters and conditions; and the prepared hydrogel can be used in the fields such as tissue engineering, food industry, agricultural irrigation, daily chemical engineering, oil production, dye adsorption and biological medicine.

The invention discloses a method and a device for detecting a text area in an image and an electronic device. The method comprises steps: a candidate text line area image is extracted from a target image; a depth study text / non text classifier through training is adopted to judge whether a sub area in the candidate text line area image is a text area, and a sub area which is judged to be the text area is marked; and sub areas marked as the text areas are combined, and a text area for the target image is acquired. The method provided by the invention can be applied to text area detection on different types of images, different languages and different styles of fonts, and the technical scheme has universality; the text line area diversity adaptability ability and the anti-noise interference ability are improved, and the detection result accuracy is ensured; and the classifier judgment areas are greatly reduced, and the detection speed is improved.

This is a kind of emulational testing system of the whole auto control. It includes the real-time monitoring system, the controller of the whole auto to be test, the configurable signal processing device, the simulation flat roof of the worker controlling mechanism, the data collecting card, and the CAN network. The simulation flat roof of the worker controlling mechanism is connected to the controller of the whole auto to be test through the data collecting card and the configurable signal processing device. The simulation flat roof of the worker controlling mechanism is also connected to the communication of the whole auto to be test. The real-time monitoring system monitor the system through the CAN network. The testing software in the industrial controlling computer or the other programmed internet applications is the testing software in common use. In this emulational testing system, all the testing surroundings are obtained from the emulation of the emulational testing flat roof, except that the controller of the whole auto to be test is the actual auto using controller. The tesing surroundings are completely identical with the real surroundings of the whole auto. It realizes having various tests to the whole auto controller conveniently and rapidly with low costs. Besides it has improved the exploiting efficiency of the whole auto controller, and has reduced the exploiting risk and cost.

The invention provides a preparation method of triazine structure containing benzoxazine intermediate, which sequentially includes: (1) performing synthetic reaction of aldehyde compound and amine compound at a molar ratio of at least 1:1 which includes adding aldehyde compound and solvent of at least one of clean water, methanol, ethanol, isopropanol, and ethyl acetate into a reactor at the room temperature under the normal pressure to obtain mixed solution with aldehyde mass concentration of no greater than 95%, adding amine compound while stirring, and reacting at 0-100 DEG C under the normal pressure for at least 15 minutes to obtain the reactant liquor; (2) pouring into the cleaning solution, stirring and cleaning, and filtering to collect solid substance, or directly filtering the reactant liquor to collect the solid substance; and (3) drying the solid substance obtained in step (2) at 30-100 DEG C.

The invention discloses a robot man-machine interaction method and device based on gesture and voice recognition belonging to the technical field of the man-machine interaction and robot. The device comprises a sensor module, a gesture recognition module, a voice recognition module, an information fusion module, an information confirmation module, a robot control module and an emergency help module; the method is: fusing a gesture recognition result and a voice recognition result by the information fusion module, sending the obtained final fusion result to the information confirmation module or the robot control module for realizing emergency help and action execution of the robot. The invention combines two channels of the gesture and voice, overcomes the defect of the single channel and can controls the robot better. The invention can be applied to remotely control the robot, enables the robot to work in fields such as space station, hazardous article treatment and public security instead of human beings, also can realize face to face direct interaction of the man and the robot and can be applied in fields such as medical treatment and domestic service.

A city emergency evacuation simulation system based on multi intelligent agent belongs to the complex system simulation in the technical field of computerized emulation and solves the problems of single function of emergency simulation systems of all kinds and lack of intelligence of code of conduct of emergency entity. The system comprise a database module, a communication module, a parameter configuration interface module, a data management module, an intelligent agent generation module, a program execution module, a simulation module, a commanding and decision-making module and an assessment module. The database module comprises a generalized database, a knowledge base and a model base; wherein, the generalized database comprises a dangerous source subdatabase, a resource subdatabase, a foundational geodata subdatabase. The system can establish an efficient intelligent model, describes the precise behavioral process of emergent intelligent agents of all kinds in the state of disasters and emergency from two levels of macroscopy and microcosmic, can custom-make a parameter and expanded intelligent model, has commonality and expansibility, and makes up the shortage and deficiency of the city emergency evacuation simulation study in regionality and comparatively large ranges.

The invention aims to provide a robot-assisted multifunctional instrument arm for minimally invasive surgery. The robot-assisted multifunctional instrument arm for minimally invasive surgery is composed of a master control case, a tail end position adjusting mechanism and a tail end posture adjusting mechanism, wherein a case body, an industrial control computer, a host and other equipment are installed in the master control case and used for controlling a whole movement system; the tail end position adjusting mechanism is composed of an active lifting joint and three passive rotating joints and mainly used for adjusting the position of a tail end control point; the tail end posture adjusting mechanism is composed of two active rotating joints and used for adjusting the posture of the point after the position of the tail end control point is determined. The robot-assisted multifunctional instrument arm for minimally invasive surgery has the advantages of having active and passive freedom degree and being capable of positioning a tail end surgical instrument and adjusting the posture of the tail end surgical instrument, the mechanism is good in movement stability and flexibility, and accuracy of tail end movement is high; a mounting platform at the tail end of the mechanism can be provided with a laparoscope or other micro surgery instruments such as surgical manipulator, and therefore an image acquisition system or a surgery operation executing system is formed.

The invention belongs to the field of adsorbing materials, and relates to an inorganic-inorganic hybrid material, particularly a graphene / clay composite material. The composite material is powdery, is compounded from porous graphene and clay, and has a porous structure; the porous graphene is inserted among clay layers through intercalation reaction; the mass ratio of the porous graphene to the clay is 1:(0.1-10); the specific area of the graphene / clay composite material is 200-250 m<2> / g, and the weight loss within 900 DEG C is 3-6 wt%; and the clay is montmorillonite, vermiculite, illite, kaolin or rectorite. The graphene / clay composite material can be easily dispersed, can be used for comprehensively and efficiently adsorbing heavy metals and organic substances, and has the characteristics of high dispersity and efficient and selective adsorbability for heavy metals and organic substances; the maximum comprehensive removal rate can reach 99%; and thus, the invention has wide prospects in industrialized application.

The embodiment of the invention discloses a real scene mapping system and a real scene mapping method in virtual reality. The system comprises a real scene sensing module, a calculation processing module and a head-mounted display module, wherein the real scene sensing module is used for capturing the real scene information of the surrounding environment of a user; the calculation processing module is used for extracting real scene characteristics from the real scene information of the user, mapping the real scene characteristics into the characteristics used for constructing a virtual scene according to a preset mapping relationship, and constructing virtual real scene information on the basis of the characteristics used for constructing the virtual scene; the head-mounted display module is used for presenting the virtual real scene information. The embodiment of the invention discloses a real scene mapping technology which can be applied to a virtual reality system for mapping some characteristics in real environment to the virtual scene of the user, so that the user experience is improved.

A temperature compensation method for denoising a fiber-optic gyroscope on the basis of time series analysis comprises four steps of: step 1, designing an experimental scheme, performing fixed point low and high temperature testing experiment on the fiber-optic gyroscope, and utilizing acquisition software for data acquisition; step 2, performing time series analysis on the zero offset data of the gyroscope, and establishing the mathematical model of the random error of the fiber-optic gyroscope; step 3, adopting a kalman filtering algorithm to filter random noise in the zero offset data of the fiber-optic gyroscope; and step 4, utilizing the data which is de-noised by the kalman filtering to identify the model structure of the temperature shift error of the fiber-optic gyroscope, and calculating the parameters of the identified model. The method establishes the multinomial model of the static temperature shift error of the fiber-optic gyroscope through time series analysis, kalman filtering denoising treatment and identification of the temperature shift error model structure and parameters. The method completely meets the real-time compensation requirement on the project, and has a better practicable value and a wide application prospect in the technical field of aerospace navigation.

The invention provides an all airspace active multi beam spherical phased array antenna direction diagram measurement system. The provided measurement system has the advantages of flexible control, high directional accuracy and low cost, and uses electric scanning to replace mechanical scanning. According to the technical scheme provided by the invention, when a direction diagram test link is received, a signal transmitting and receiving device transmits a test frequency point signal to an auxiliary antenna of a calibration tower; a spherical phased array antenna receives a signal transmitted by the auxiliary antenna; a receiving beam is formed through an active digital multi-beam forming device; the signal transmitting and receiving device receives and records the signal level, and reports the signal level to automation test software of an automation test device; the automation test software of the automation test device controls the active digital multi-beam forming device to form a transmitting and receiving beam in a certain direction and acquire the signal level of the transmitting and receiving beam; two-dimensional electric scanning is carried out on the whole airspace; and three-dimensional images are respectively drawn for the directional azimuth and the elevation angle of the transmitting and receiving beam, and the signal level corresponding to the direction, so as to acquire a transmitting and receiving three-dimensional direction diagram of the antenna.

The invention relates to an automatic license plate positioning and recognition method based on a complex background. Images are acquired in a way that traffic polices or management personnel use digital cameras to take automobile pictures at any time and under various operating conditions instead of acquiring at certain fixed positions or intersections, and automatic license plate positioning and recognition are realized aiming at the random conditions. The method includes the steps: acquiring license plate images; converting color images; acquiring marginal information of the license plate images; acquiring alternate license plate zone images; precisely positioning license plate character zones; subjecting characters to single-character segmentation; and finally, using a BP (back propagation) neural network to realize recognition of license plate characters. The automatic license plate positioning and recognition method based on the complex background has the advantages of high accuracy and the like.

The invention relates to a tag noise correction based crowd-sourced tagging data quality improvement method. The method comprises the following steps: running a tag integration algorithm in an initial crowd-sourced tagging data set to form a data set after tag integration, and estimating tagger quality and integrated tag quality information of samples in the process; performing multi-round K-fold cross validation by utilizing the data set after tag integration, and constructing a high-quality data set; determining a tag noise set in combination with the tagger quality and the tag quality of the samples by utilizing a prediction probability of a class tag of each sample in the multi-round K-fold cross validation process; and training a classification model by utilizing the high-quality data set generated in the multi-round K-fold cross validation process, and performing prediction and replacement on the class tag of each sample in the tag noise data set by using the model. With the tag noise correction method, the quantity of potential noise tag samples in the data set after original tag integration is reduced, so that the data quality is improved.

The invention provides a text classification method and device based on transfer learning, and the method comprises the steps: S1, employing an unlabeled text to train a BERT model, and obtaining a pre-trained word representation BERT model; S2, filtering links, forwarding symbols and user name contents in the to-be-classified text; S3, inputting the filtered text into the word representation BERTmodel trained in the step S1 to obtain a semantic file of the text; and S4, inputting the semantic file of the text into a convolutional neural network for processing to obtain a category label of the sentence in the semantic file. According to the method, transfer learning is used for text classification, and a BERT word representation model trained based on large-scale unlabeled corpora is provided. The word representation model has universality, does not depend on the specific text field, and can also be used for other tasks such as entity extraction and sentiment analysis.

The invention discloses a gait planning method for walking of a biped robot along a slope, and belongs to the technical field of robots. The method contains two core theories, namely, non-orthogonal decomposition and synthesis of a three-dimensional linear inverted pendulum and gait planning based on a biped long linear inverted pendulum. The method comprises the steps of gait parameter configuration, non-orthogonal decomposition of a three-dimensional linear inverted pendulum, foot trajectory planning based on three times of spline interpolation, centroid trajectory planning of a sagittal plane and a coronal plane based on a biped long linear inverted pendulum, non-orthogonal synthesis of the centroid trajectories of the sagittal plane and the coronal plane, and solving of joint trajectories of a robot based on inverse kinematics. By adopting the method of the invention, stable walking of a biped robot along all directions of a slope can be effectively achieved. The method is universal, simple in algorithm and high in practicality.

The invention provides a low-speed high-precision control system of a magnetically levitated flywheel motor based on n Hall transducers, which is used in the high-precision stance control executing mechanism of the new-generation high-stability satellite, namely, the drive control of the magnetically levitated reaction flywheel motor. The invention mainly comprises a controller taking the field programmable gate array (FPGA) as a core, a Hall transducer, a three-phase bridge power amplifier, a drive circuit of the power amplifier, a three-phase permanent magnet brushless DC motor, a voltage reducing chopper, an energy dissipation unit, a detecting unit of a winding current, a detecting unit of chopping voltage, and a DC constant power supply. By arranging n Hall transducers evenly on one side of the motor stator and detecting the Hall signals produced by the Hall transducers, precise rotation speed feedback can be obtained after the Hall signals are compensated, and the low-speed high-precision control of the magnetically levitated reaction flywheel used permanent magnet brushless DC motor can be implemented by using the controller taking the FPGA as the core.

The invention belongs to the field of path planning technology and specifically relates to a three-dimensional multi-UAV coordinated path planning method based on SAS. The method comprises the following steps: carrying out modeling on a path planning environment; initializing multi-target SAS calculation parameters consisting of the length of a minimum path section, a maximum turning angle, a maximum angle of climb / glide, a minimum safe distance of UAVs and a minimum flight altitude of UAVs; initializing the positions of the UAVs, wherein each UAV represents a path; updating the positions of the UAVs; expanding a current node; determining whether a path section collides with other path sections; updating a node table of the path section; executing a step (8) if minimum path cost set in the step (2) is met, and otherwise, executing the step (3); determining a cooperated planned optimal path so as to complete path planning. The method overcomes multi-objective optimization problems, has versatility, provides a reasonable optimal solution for a decision maker and better accords with practical needs.

The invention relates to green safe feed for animals in the field of animal husbandry and veterinary medicine, in particular relates to a recipe and a production process of the feed. Green safe feed for fleshy poultry is mainly characterized by comprising the following raw materials: corn, wheat, bean pulp, corn protein powder, cotton seed meal, mixed oil of bean oil and poultry oil, common salt,calcium hydrophosphate, mountain flour, lysine, methionine, mineral feed additives, choline chloride, composite vitamins, coated sodium butyrate, composite Chinese herbal medicine feed additives, emulsifying agents, antioxidants and mycotoxin absorbing agents. The green safe feed has the advantages that the current conditions of high medicine residue content in the poultry meat and poor flavor caused by the abuse of various antibiotics and chemical additives in broiler raising are changed, the feed cost is saved, the economic benefits are improved, and the sustainable development of the animal husbandry is promoted.

The invention discloses a device for detecting attitudes of micro-devices on line during assembly based on micro-vision. The device is suitable for detecting the attitudes of the micro-devices and aligning and assembling the micro-devices, comprises a control host, a three-path orthogonal micro-vision system, a vision system attitude adjusting mechanism, micro-device clamping devices, micro-device attitude adjusting motion mechanisms, a light source system and a digital prototype and has twenty-five degrees of freedom, wherein the two micro-devices are arranged on the corresponding clamping devices; the clamping devices are arranged on the corresponding motion mechanisms; and the digital prototype can feed back the attitudes of the micro-devices, which are detected on line, in real time and can observe the current assembly state of the micro-devices in 360-degree panoramic and zoom modes. Millimeter-level micro-parts can be conveniently and efficiently detected and assembled on line in a man-machine cooperation mode, the size range of the assembled parts is 10 to 12mu m, detection position accuracy is 3 to 5mu m, angle accuracy is 0.3 to 0.5 degree, and a wide application prospect and considerable social and economic benefits are achieved.

The invention provides a gray scale image fitting enhancement method based on local histogram equalization. The gray scale image fitting enhancement method has advantages of improving gray scale image contrast and detail information and eliminating block effect and over-enhancement. The gray scale image fitting enhancement method comprises the steps of performing segmental linear transformation on a gray scale image in an overwide dynamic range, obtaining the gray scale image in an appropriate dynamic range, dividing an image gray scale distribution interval to two segments to multiple segments, adjusting the gradient of a segmenting point and a transformation line of each image gray scale distribution interval, performing expansion or compression on a random gray scale interval; performing subblock part overlapping histogram equalization on a transformation result, obtaining the transformation function of the current subblock through performing weighted summation on a subblock transform function in the neighborhood, performing histogram equalization processing on the current subblock by means of the transformation function; and performing nonlinear fitting on the gray scale map after histogram equalization, and performing histogram distribution correction on the gray scale image after subblock part overlapping histogram equalization.

The invention discloses a generative adversarial network-based method for generating a picture of a pedestrian with an arbitrary pose. Only by inputting a character picture, the pose of the pedestrianin the picture and a thermodynamic image of a target transfer pose to a generator network, a picture of the same character with a previous target pose can be obtained. A pose attention mechanism is introduced in a generator of the method, and two different discriminators are adopted for performing appearance consistency and pose consistency discrimination, so that multiple complex conditions of image deformation, geometric conversion, visual angle shift and the like can be met. Moreover, end-to-end training can be realized. According to the method for generating the picture of the pedestrianwith the arbitrary pose, an innovation is performed based on an existing technical idea, and a novel structure is adopted for performing network model building, so that compared with a conventional method, the synthesized picture is realer and more natural, and high practical application values are achieved.

The invention relates to an embedded omnidirectional ball vision object detection and mobile monitoring system and an embedded omnidirectional ball vision object detection and mobile monitoring method. Omnidirectional ball vision is a visual system with a global domain visual field and can acquire all scenes of the whole global domain at one time without the revolving and scanning of a camera. The system comprises an omnidirectional ball vision imaging system (comprising two fish-eye panoramic lens, two CMOS image acquisition chips, an FPGA controller and an SRAM memory chip), and a multi-path DSP parallel image processor (comprising a master control DSP and two paths of DSP parallel image processors). The imaging system acquires omnidirectional ball vision images by matching the two fish-eye panoramic lens and the two CMOS chips, wherein the master control DSP is responsible for data scheduling and communication, and the two paths of the parallel DSPs are independent from each other and can process the identification tracking of a static navigation mark and the real-time monitoring of a dynamic object in parallel. The method and the system have the advantages of high integrity, small volume and quick processing speed and are particularly suitable in the military or domestic field such as safety monitoring, mobile vehicle body navigation and the like.