565results about How to "Speed block" patented technology

The present invention provides a structured-light based system for providing a 3D image of at least one object within a field of view within a body cavity, comprising: a. An endoscope; b. at least one camera located in the endoscope's proximal end, configured to real-time provide at least one 2D image of at least a portion of said field of view by means of said at least one lens; c. a light source, configured to real-time illuminate at least a portion of said at least one object within at least a portion of said field of view with at least one time and space varying predetermined light pattern; and, d. a sensor configured to detect light reflected from said field of view; e. a computer program which, when executed by data processing apparatus, is configured to generate a 3D image of said field of view.

Devices and methods for slowing down or dampening the retraction velocity of an introducer needle used in connection with needle retracting safety vascular access devices. The devices and methods prevent splattering or dripping of blood caused by an introducer needle that retracts too quickly. The dampening devices can be easily modified to regulate the amount of dampening desired and can be retrofitted to existing vascular access devices designs.

The invention discloses a device and a method for controlling MPPT of a solar pvelectricity generating system. The device comprises an MPPT sampling circuit, a drive circuit, a current sampling circuit, a voltage sampling circuit and a DSP processor. The method comprises the following steps that: when a disturbance direction keeps constant for 3 times, a voltage disturbance value is multiplied by an exponent of 2 so as to rapidly track to the maximum power point; and when Udc swings near U PMAX, the voltage disturbance value is divided by the exponent of 2 so as to reduce the swing range of photovoltaic array voltage Udc and to make the Udc stabilized on the photovoltaic array output voltage U PMAX point corresponding to the maximum output power point. The device and the method avoid the phenomena of low tracking speed and swinging near the maximum work voltage in the prior maximum power point tracking technology.

The invention relates to a flexible automatic production system for combined fireworks, which comprises an automatic tube rolling machine, a conveyer, a mud filling machine, a cake assembling and fuse inserting machine, a wrapping machine and a manipulator. The system is characterized in that firstly tubes are rolled through the automatic tube rolling machine and are stored in a tube storage basket, the tubes are fed to the mud filing machine for mud filling, cake assembling and fuse inserting after the tubes are dried, then the tubes are wrapped and reinforced by the wrapping machine, the tubes are righted and fed to the inlet port of the manipulator, propelling charges, effect part tubes, a first paper layer and a second paper layer are sequentially filled into the tubes after cake assembling, face paper and labels are stuck, products are boxed and sealed by a boxing and sealing machine and then the finished products are conveyed by the conveyer to a finished product warehouse; and materials among equipment of the entire system are conveyed by adopting the conveyer, and the loading position and the unloading position of each equipment are provided with photoelectrical conversion switches which are used for controlling the startup and the shutdown of the conveyer. Since the materials in the system are conveyed by the conveyer and the startup and shutdown of the conveyer are controlled by the photoelectric conversion switches, the materials are accurately conveyed in time, the product quality and the production efficiency are guaranteed, and the defects that manual handling in the past is time-consuming and labor-consuming and safety accidents are apt to occur are avoided.

The invention discloses a multi-party joint modeling method and device based on federated learning and a medium. The multi-party joint modeling method based on federated learning comprises the steps that multi-party joint modeling is carried out, and performing sample alignment with each second device associated with the first device to obtain first sample data, interacting with each second devicebased on the first sample data to perform longitudinal federation, and calculating a feature splitting gain histogram to construct a joint modeling decision tree. The technical problem that the calculation efficiency is low when a longitudinal federation modeling algorithm model is constructed is solved.

The invention discloses an embedded and check method of identification watermark, a relative system and application, wherein the embedded method comprises the calculation of digit fingerprint and the embed process of the digit fingerprint, which uses a digit fingerprint based on quantized average value to generate an identification watermark sequence, and embed the information of the watermark into an image block to generate a digit image with the identification watermark. And the check method comprises integrality check and distortion positioning, which extracts the information of the identification watermark to separate the digit fingerprint and the binary random sequence, check the data to realize the integrality check and distortion positioning. The invention has the advantages that the invention can process distortion positioning accurately on damaged compressed digit image, with high operation speed and all process in time domain, high safety for resisting impact, vector image, combine impact and test impact or the like.

The invention provides a flat plate heat pipe. The flat plate heat pipe comprises an evaporation cover plate, a condensation cover plate, a liquid filling pipe and liquid absorption cores. The evaporation cover plate is of a concave table structure. A connection belt is arranged around the periphery of the top end of the concave table structure of the evaporation cover plate. The liquid absorption cores of a porous capillary structure are formed in the periphery of the inner side of the top end of the concave table structure of the evaporation cover plate, and a hydrophilic thin layer is compounded to the bottom face of the inner side of the top end of the concave table structure of the evaporation cover plate. A plurality of convex plates are arranged on the side, in contact with the evaporation cover plate, of the condensation cover plate. A hydrophobic thin layer is compounded to the positions, except for the positions with the convex tables, of the side, in contact with the evaporation cover plate, of the condensation cover plate. A through hole is formed in the outer side of the evaporation cover plate, and the liquid filling pipe is arranged in the through hole. The evaporation cover plate and the condensation cover plate are connected in a sealed mode to form a closed cavity. Through modification of the hydrophilic property of the evaporation cover plate of the flat plat heat pipe and the hydrophobic property of the condensation cover plate, and through the supporting convex plates machined on the condensation cover plate, the heat exchange capacity and stability of the flat plate heat pipe are improved.

A reciprocating piston/plunger pump inlet manifold includes an elongated cylindrical manifold member closable at opposite ends by transverse end caps connected to the manifold member by releasable couplings. A rubber or polymer liner formed with nitrogen filled closed cells is disposed within the manifold member. Spaced apart fluid discharge guide and mixing tubes are connected to the manifold member and include flanges for securing the manifold to inlet valve housings of a pump. The fluid flow guide and mixing tubes include partitions and a mixing chamber portion of the tubes. Improved fluid flow characteristics with minimal solids separation and minimal fluid velocity or acceleration induced pressure losses are exhibited by the manifold.

The invention discloses a method for suppressing velocity fluctuation of a flux-switching linear motor. The method includes inputting harmonic current to compensate thrust fluctuation caused by positioning force; compensating thrust fluctuation caused by uncertainties such as friction and parametric variations via a disturbance observer, so that the thrust fluctuation is further weakened. The method can effectively suppress positioning force and velocity fluctuation.

The invention belongs to the technical field of data processing, and provides a moving object shooting method based on a mobile terminal, and the mobile terminal. In the embodiment of the invention, the mobile terminal is provided with at least one first image acquisition device and at least one second image acquisition device, wherein the first image acquisition device is used for image acquisition in a static status, and the second image acquisition device is used for image acquisition in a multi-directional rotation status. The method comprises the following steps: starting the first image acquisition device and the second image acquisition device; obtaining movement data of a moving object captured at least by the first image acquisition device; generating shooting parameters of the second image acquisition device according to the movement data; and controlling the second image acquisition device to shoot a picture of the moving object according to the shooting parameters. The method and the mobile terminal provided by the invention have the advantages that the implementation cost is low; the picture of the moving object, in which a target is clear but a background is ambiguous, can be shot by a user through ''foolproof'' operation, and no special shooting skills are needed, so that the operation is simple, and the use is convenient.

An embodiment of the invention provides a method and a system for building indexes and a method and a system for retrieving the indexes. The method for building the indexes includes enabling an acquisition server to store acquired real data and generating index data according to storage positions of the real data; storing the index data into current buffer blocks according to a key value sequence; continuously arraying the index data in the buffer blocks into index blocks according to the key value sequence; sequentially arraying the index blocks to form index files. The index data comprise key values. The method for retrieving the indexes includes acquiring key values of target data; comparing the key values of the target data to key value ranges of the various index blocks in the index files and determining certain index blocks with the key value ranges covering the key values of the target data as target index blocks; searching the target index blocks to obtain index data with key values equal to the key values of the target data and using the index data as target index data; extracting storage positions of the target data from the target index data and reading the target data at the storage positions.

The invention discloses a truck volumetric measurement method based on laser triangulation, comprising the following steps: three measuring points are arranged in sequence along the vehicle travelling direction on a vehicle travelling channel; each measuring point is provided with a sensing device for sensing arrival and departure of the measured vehicle; a sensing device for acquiring car axle quantity of the measured vehicle is arranged at a set position in front of a first measuring point; the four sensing devices are used for acquiring length of the measured vehicle; a laser device and a video camera are arranged above the center line of the vehicle travelling channel; a cylindrical lens which causes laser beams to irradiate on a horizontal plane so as to form laser bars is additionally arranged in front of the laser device; length and position of the laser bars on vehicle roof, which are shoot by the camera video are used for acquiring width and height of the measured vehicle so as to work out volume of the measured vehicle. The method disclosed by the invention has advantages of practicability and reliability and can reduce costs for measuring the volume of trucks.

The invention provides a method for identifying vest account numbers of forum users. The method comprises the steps of training a classification model depending on various user account numbers in a training set and characteristic vector of each text, determining the user account number of the training set to which each text in a test set is classified through a trained classification model, and identifying vest account numbers depending on the classification result. The method disclosed by the invention selects characteristics from speech text data of forum user account numbers, and judges relation between various account numbers of a same person through mining similarity of language styles of the account numbers, thus improving the probability of identifying vest account numbers. Aiming at the characteristics of network language which is less rigorous in grammar and has many cyber words, the method extracts and analyzes effective characteristics in the speech text, so as to avoid a problem that lexicon updating content and speed are unable to keep pace with trend of the network language, thus reducing complex operation of maintaining a segmentation dictionary and improving accuracy of identifying the vest account numbers.

The invention discloses a method for determining an intermittent pumping system through oil-well pump dynamic fullness well testing. The method for determining the intermittent pumping system through oil-well pump dynamic fullness well testing comprises the steps of (1) determining a net stroke of a piston of an oil-well pump through synchronous measurement of a continuous polish rod load-and-time curve and a polish rod continuous displacement-and-time curve, and using a percentage between the net stroke and a gross stroke as a fullness measuring value; (2) building a complete oil-well pump dynamic fullness decreasing history curve according to continuous read and continuous analysis of the fullness, and obtaining an etamax and an etac according to the complete oil-well pump dynamic fullness decreasing history curve; (3) using the time spent by the process that the fullness of an oil well with the given characteristic decreases from the etamax to the etac as a fixed pumping time, and selecting different to-be-pumped times Tg to form an intermittent period; (4) using a percentage between the fixed pumping time and a well shutdown time as a pumping duty ratio, compiling a series of intermittent pumping systems according to different period systems, and determining an optimum intermittent pumping system according to the maximum daily output method and a minimum pumping duty ratio. The method for determining the intermittent pumping system through oil-well pump dynamic fullness well testing enables a sucker-rod pumping oil well to achieve maximum capacity, and reduces energy consumption and operating cost.

The invention provides a remote sensing image thin and weak target segmentation method. Firstly, data enhancement and corresponding preprocessing are carried out on an original remote sensing image, U-net is improved by means of the dense connection thought of DenseNet, and a Dense-Unet network structure is provided. Dense convolution is used in a network structure, the cascade relation between convolution channels is enhanced, through a symmetric structure and a jump connection thought, the connection between features of all layers is further tighter, and thin and weak target features can belearned more effectively. In order to ensure the real-time performance of final network identification and reduce the parameter quantity, a bottleneck layer and a batch normalization layer are introduced behind each dense block. And the objective function is adjusted by using the cost-sensitive vector weight, so that the problem of unbalanced segmentation target categories is solved, and the segmentation precision is further improved. And finally, a plurality of independent models are trained by using an ensemble learning method, the independent models are combined, and target category information is jointly predicted in the picture.

The invention discloses a link negotiation control method and a Fibre Channel over Ethernet (FCoE) integration system. In the invention, the FCoE switch and the Ethernet node (ENode) can realize to restart the virtual logic link road by restarting the logic interface without the restart of the Ethernet interface, thus the restart of the virtual logic link road can not break off the service. Moreover, in the invention, the FCoE initialized protocol (FIP)message is used for realizing the negotiation and restart of the virtual logic link road, the problems of increased facility cost, slow response speed and the like caused by using private protocol are avoided.

An antitheft alarm system for the oil or gas delivery pipeline is composed of a central station and several terminal stations. Said central station consists of display screen, computer, sound-light alarm, interface, radio data transmission module, printer, UPS, and stabilized DC power supply. Said terminal station is composed of audio sensor, amplifier, signal processor, A/D converter, single-chip computer, interface, radio data transmission module, solar battery, etc. It can sense the theft in time to generate audio-video alarm signals, preventing pipeline from being damaged.

The invention relates to an intelligent ship path planning method based on a fast search genetic algorithm. The method comprises the steps of (S1) performing rasterization on a test site electronic chart, obtaining obstacle points for the rasterized chart, obtaining starting point coordinates and target port coordinates, presetting a maximum number G of iterations, an initial temperature T0, an ending temperature Tf and an attenuation value a, and obtaining an initial path set pop0 and an inflection point of an unmanned ship, (S2) obtaining the inflection point spacing sum D of each path in the initial path set pop0, and (S3) obtaining an updated path set popm through G times of iterations by using crossover, variation, proportional selection and annealing optimization operations accordingto the inflection point spacing sum D, a target temperature T and a preset attenuation value a, performing temperature updating according to an attenuation coefficient a, and selecting a shortest path in the updated path set popm as an optimal path when T is smaller than Tf. The planned path of the invention has a small steering angle, the trajectory is smooth, an obstacle is actively avoided, the method is close to actual navigation application, the convergence speed is fast, and the problem that a traditional genetic algorithm is easy to fall into a local extremum is overcome.

The invention discloses a dynamic adaptive speed look-ahead control method of continuous small line segment trajectories. The method comprises the steps that S1 the maximum speed of connecting points is calculated and the speed look-ahead number of segments is determined; S2 entering a deceleration area or not is judged, and the process jumps to the step S3 if the judgment result is no; S3 initial speed and end speed are compared; and the process jumps to the step S4 if the initial speed is greater than the end speed; S4 whether the deceleration distance constraint condition is met is judged; and the process jumps to the step S7 if the judgment result is yes, or the process jumps to the step S5; S5 whether the deceleration distance in which the initial speed reduces to the end speed is less than the current line segment displacement length is judged, and the process jumps to the step S7 if the judgment result is yes, or the process jumps to the step S6; S6 the maximum initial speed of the current segment displacement length constraint is searched and cycling is performed until tracing back to the look-ahead start point; S7 the non-look-ahead path is updated and whether the segment of the current line segment is less than the look-ahead number of segments is judged, and the process jumps to the step S2 if the judgment result is yes, or the process jumps to the step S8; and S8 speed look-ahead control is ended. High-speed connection of transition speed between the continuous trajectories can be effectively realized so that the processing time can be greatly shortened and the processing efficiency can be enhanced.

The invention discloses a robust fault-tolerant control method for small unmanned aerial vehicle flight control system. According to the discrete system with parametric uncertainties and time-varying delays in the case of actuator failure, a simulated-integral sliding mode prediction model is constructed. The model can ensure the global robustness of an entire dynamic process and deal with the influence of the fault incurred from the parametric uncertainties and time-varying delays on the progressive stability of the sliding mode. Through the use of the improved chaotic particle swarm optimization (PSO) algorithm to improve the rolling optimization process, the method can effectively avoid the problems that the traditional particle swarm algorithm is easy to fall into the local extreme point in the excellence seeking process and that the convergence rate is slow. In the invention, a new reference trajectory is proposed, which can reduce the influence of system uncertainty and time-varying delay to an acceptable range through compensation, and can also suppress the buffeting phenomenon of the sliding mode obviously. The invention is used for the robust fault-tolerant control for a discrete system with parametric uncertainties and time-varying delays in the case of actuator failure.

The invention discloses a Hadoop cloud platform-based Web resource personalized recommendation system and method. The system comprises a user model module which collects browsing behavior information of a user on a Web resource page, endows different weights to different behavior types of the user according to the browsing behavior information of the user on the Web resource page, and calculates the degree of interest of the user in the Web resource page according to the different weights, a recommendation algorithm module which carries out clustering processing on the collected browsing behavior information of the user on the Web resource page by using a recommendation algorithm according to the degree of interest calculated by the user model module, then constructs a matrix according to a clustering result, carries out nearest neighbor analysis on a target resource through the constructed matrix to obtain a nearest neighbor result of the target resource, and forecasts and fuses the degree of interest of the user according to the nearest neighbor result to obtain a recommendation scheme, and a parallel processing module which carries out off-line distributed calculation on the recommendation algorithm under a Hadoop cloud platform, and saving a calculation result.

The invention discloses a personalized card writing method and system. The method comprises: a subscriber logs in a remote card writing server via a card writing terminal; the remote card writing server distributes personalized data and card writing components required by the subscriber to an intermediate card connected with the card writing terminal, and the intermediate card stores the personalized data and the card writing components; and the intermediate card is connected to a subscriber terminal used by the subscriber, and the subscriber terminal reads the personalized data in the intermediate card, and calls the card writing components in the intermediate card to write the personalized data to a subscriber identity module (SIM) or a universal subscriber identity module (USIM) in the subscriber terminal. The invention simultaneously discloses the remote card writing server, a subscriber card and the user terminal. By adopting the method, system and device provided by the invention, the safety of the service data can be ensured, the realization is simple and convenient, and the service experience of subscribers can be enhanced.

The invention relates to a method and equipment for the oil-water separation and wastewater purification and treatment of kitchen wastes. The method and the equipment can carry out field collection or wastewater purification and standarization treatment on the kitchen wastes swill or domestic wastewater in the fields of a restaurant, a hotel, a department, a house, milk plant, a food products factory, a brewery, a hospital, a beverage plant, a slaughterhouse, a chemical plant and the like, separates the swill into drainage oil and kitchen wastewater, continuously carries out fast and continuous purification treatment on the domestic wastewater anytime and anywhere and ensures that the quality of purified water achieves the nationally specified (GB18918-2002) emission standard of a town sewage processing plant. The heating and temperature-regulating type wastewater purification treating equipment disclosed by the invention has the advantages of small occupied area, high wastewater purification starderization speed, low wastewater treating equipment investment, low wastewater treatment cost, and the like. The method and the equipment which are disclosed by the invention have the advantages of good industrial practicability, novelty and creativity.

The invention relates to a neural network compensation control method for capturing maximum wind energy in a wind power system. The neural network compensation control method includes a, acquiring the speed of the wind, and acquiring a reference value of the speed of a wind turbine and a corresponding disturbance speed of the wind turbine according to the wind speed, a reference value of a tip speed ratio and a gear ratio of a gear box; b, acquiring a speed error according to the reference value of the speed of the wind turbine and a speed value of the wind turbine, adopting the PID closed-loop regulation on the reference value of the speed of the wind turbine and the speed error, and acquiring a reference value of the steady torque of the wind turbine; c, adopting the reference value of the steady torque of the wind turbine and the disturbance speed of the wind turbine as the input of the the BP neural network, adopting the PSO (particle swarm optimization)algorithm to train until a required torque control value of the wind turbine is outputted, and accordingly controlling the torque of the wind torque through the torque control value of the wind turbine. By the aid of the neural network compensation control method, effective control of the torque of the wind turbine is realized, cost is reduced, adapting range is wide, and the neural network compensation control method is safe and reliable.

The invention relates to a chemical enhanced phytoremediation method of polycyclic aromatic hydrocarbon-cadmium pollution soil, belonging to the field of soil pollution regulation; the method comprises the following steps: (A) the content of cadmium, polycyclic aromatic hydrocarbon, phenanthrene and pyrene in the soil is measured, and willow sowing is carried out; (B) chemical enhancer constitutedby ethyl lactate and ethylene diamine tetraacetic acid is added after the willow is sewed for four months. The willow is golden silk willow J1022, and the planting density of the willow is respectively 4-6 per square meter in the soil which has 5mg phenanthrene, 50mg pyrene and 6mg cadmium in one kilogram. The method avoids the disadvantages of short and small plant, slow growing speed, and low living weight at the upper part of the soil in the phytoremediation, reduces the environment risk of heavy metal cadmium in the plant extraction soil remediation; the adding of the chemical enhancer improves the remediation efficiency that an organic ligand is singly used as chelating solvent extraction agent to remediate the heavy metal, and the remediation effect of polycyclic aromatic hydrocarbon of organic pollutants in the soil is enhanced at the same time, and the remediation of cadmium and polycyclic aromatic hydrocarbon combined pollution in the soil is realized at the same time.