44results about How to "Adapt to complexity" patented technology

A detection method of a moving target on a real-time basis belongs to a method for processing image data, and is characterized in that the shortages of a background modeling method in the aspects such as background updating, background perturbation, false target judgment, shadow suppression and the like in the prior moving target detection are overcome; the target detection is stable and practical; and the method is used for processing the moving target detection in a complex monitor scene. The method comprises the following stops: the model creating step, the model initialization step, the target detection and model updating step, the false target processing step, the shadow detection step, after-treating step, the target region determining step, the background integral updating step and the outputting step. The method has the advantages that the accuracy, the robustness and the integrity of the moving target in moving target detection are improved; and the moving target is detected more effectively, thereby laying the foundation for target assorting, tracking and event detecting.

The invention discloses a method for generating a video navigation system automatically, which comprises: cutting a video into a plurality of pictures by using a double-threshold picture cutting algorithm; extracting the key frames of the pictures by using a leading clustering algorithm; clustering the pictures by using the leading clustering algorithm to form a picture group; and creating a scene by using the picture group. The method improves the structuralization degree of the videos greatly, makes a hierarchical directory of the videos, and facilitates the video content capture and browsing of users. The method can make a DVD directory conveniently and provide support for video retrieval technology. Today, when videos have become part of people's life, the method has great application value and prospect.

The invention discloses an adaptive spatial clustering method, comprising the following steps of: (1) preprocessing spatial data and selecting features; (2) creating a Delaunay triangulation network according to spatial attribute; (3) performing clustering analysis operations according to the spatial attribute; (4) turning to a step (5) if a spatial solid obstacle is needed to be further considered, and turning to a step (6) if a thematic attribute is needed to be considered, otherwise, ending the spatial clustering operations; (5) introducing a spatial obstacle layer, performing overlap analysis on the spatial obstacle and the side length of the Delaunay triangulation network between the entities in each spatial cluster, and breaking the side length if the spatial obstacle is intersected with the side length; (6) performing the thematic attribute clustering by an improved density-based spatial clustering method; (7) visualizing the clustering result, and outputting the clustering result. The adaptive spatial clustering method is simple and convenient to operate, high in degree of automation, high in calculation efficiency, perfect in functions, strong in applicability and the like, and can effectively improve capability of spatial clustering analysis to excavate deep-seated geoscience rules.

The invention discloses a method capable of reducing a torque tracking error of a switched reluctance motor. The method is characterized in that a flexible torque distribution mode is adopted to control an instantaneous torque, and the degree of the torque tracking error, which serves as a control variable, is limited through the online regulation of a turn-on angle, so as to allow the instantaneous torque output by the motor to track a reference torque in a small deviation manner as far as possible, so that both torque ripple and noise of the motor are reduced, and the smooth operation of the motor is ensured.

The invention discloses a miniature projection device and a gesture control method of the projection device. The miniature projection device comprises a miniature projection device main body and a gesture detection module; the miniature projection device main body comprises a projection keyboard module, a projection screen module and a processing and calculating module; the projection keyboard module is used for inputting information to the processing and calculating module; the projection screen module is used for displaying an image output by the processing and calculating module; and the gesture detection module is used for detecting an operation gesture of a user on the screen and transmitting a gesture signal to the processing and calculating module. The miniature projection device disclosed by the invention has the advantages of small volume and convenient carrying, and an external projection device is directly replaced by a projection computer screen, therefore the miniature projection device is more suitable for office, training and other occasions; and a page turning function and a marking function f the screen are realized by detecting the operation of the human hand on the projected screen, therefore when the user explains the projection contents, the user can quickly and conveniently operate the projection contents.

The invention discloses a twin network infrared target tracking method based on a feature pyramid. The twin network infrared target tracking method includes the steps: respectively carrying out full convolution operation from bottom to top on the template frame and the detection frame, then respectively carrying out top-to-top operation and transverse connection on convolution layers C5, C4, C3 and C2, and respectively and correspondingly generating P2, P3, P4 and P5 scale feature layers; according to the classification weight and the regression weight of each scale feature layer of the template frame, carrying out convolution operation on the corresponding scale feature layer of the detection frame to determine a scale proposal corresponding to each scale feature layer of the detection frame; and performing non-maximum suppression on the scale proposal corresponding to all the scale feature layers of the detection frame, retaining the highest scale proposal, and taking the scale feature layer corresponding to the highest scale proposal as an output tracking result. The twin network infrared target tracking method has better discrimination capability for target deformation, and ismore suitable for complex scenes and target deformation.

A brand-new intelligent belt conveyer mainly comprises a telescopic transmission device, a height adjustment device, a main drive motor and a main intelligent system control station, and is characterized in that the transmission length, the height and the belt width of the belt conveyer can be adjusted through an intelligent control unit at the same time; the telescopic transmission device comprises a fixed frame body and a telescopic frame body; the fixed frame body is connected with the telescopic frame body by a linear bearing and a guide rail; the bottom and the top of the height adjustment device are rotationally hinged; and the main intelligent system control station is connected with an upper computer through a DP-DP coupler and a bus. According to the brand-new intelligent belt conveyer, not only can the length and the height be adjusted but also the width and the step size can be adjusted, and the adjustment operations are all full-automatic, so that the automation level is greatly increased and the requirements of modern factory products on diversity, complexity and high efficiency are better met.

The invention provides an attendance checking system and method. The attendance system comprises a class schedule data acquisition unit which is used for acquiring class schedule data of each studentfrom a class schedule data server; Wherein each student is provided with a unique ID, and the class schedule data comprises student IDs, class time and class classrooms; The attendance data acquisition unit is used for acquiring attendance data of the students, and the attendance data comprises student IDs, attendance time and attendance classrooms; Attendance data processing unit, Data comparisonmodule, the data comparison module is used for comparing the student personal attendance data with the same ID with the class schedule data; and if the attendance time is within the preset attendancetime range and the time in the preset attendance time range is included in the class attending time of the personal class schedule data and the attendance classroom is consistent with the class attending classroom in the personal class schedule data, the attendance succeeds, otherwise, the attendance fails.

The invention discloses a method for calculating an all red time controlled by two-phase signals of a road plane intersection. The method comprises the following steps of: dividing time periods; organizing a traffic survey to obtain key traffic data; analyzing the road traffic data, and dividing a vehicle type; calculating an average body length vhc and a traffic influence coefficient impc of thevehicle type c; calculating the shortest distance de, c that the vehicle must pass in the all red time; calculating the time that each vehicle i passing the shortest distance de, c needs; calculatinga frequency distribution of the time t that the vehicle passing the shortest distance needs; determining a threshold value Fr of a cumulative frequency of the all red time; and calculating the all redtime Rrn, ph. According to the method for calculating the all red time controlled by two-phase signals of a road plane intersection, great differences in a traffic composition and a vehicle speed atdifferent time periods are sufficiently considered; different vehicle types are also considered to be different in the traffic influence, the vehicle speed, the body length and the like, so that actual needs can be met more accurately.

The invention provides a mobile terminal and a method with an automated replying function. The mobile terminal comprises: an automated replying trigger unit for generating the responding order according to the different selection of the users or the pre-set; a mediation module for identifying the current calling terminal type as the identifying result; an automated replying module for generating the instruction for the transmission according to the identifying result and the responding order; a digital baseband chip for receiving the replying information an encoding the information, and generating the replying information flow; a simulative baseband chip for converting the replying information code flow into the simulative signal, and modulating and transmitting the simulative signal; a radio frequency module for transmitting the modulated simulative signal. By technology of the invention, the user rather than the mobile terminal decides whether to receive or reply the information, which can combine the feeling and benefit of the user, caller, and people around, and the implementing cost is low and the practicability is strong.

The invention provides a geological data visualization method based on a mixed data model, and relates to the technical field of geological survey. When a three-dimensional geologic body model constructs a three-dimensional model, an irregular tetrahedron structure TEN and triangular surface TIN mixed data model is adopted for combined modeling, the advantages of TIN and TEN are integrated by adopting a mixed data structure, the outline of a three-dimensional space entity can be rapidly formed, and display and data updating are facilitated; the boundary of the space entity is accurately expressed; efficient spatial analysis is performed, the defect of a single data structure is made up to the maximum extent, a flexible and efficient topological relation is achieved, visualization algorithms such as mapping and ray tracing can be fully utilized, and therefore the method has high universality and flexibility, the expression precision of the three-dimensional entity can be improved, the method can better adapt to the complexity of three-dimensional topology, and the method can be qualified for three-dimensional geological modeling of various different complexity degrees.

The invention proposes a distributed battlefield electromagnetic environment dynamic simulated building method. Before test execution, the stress of a test environment is pre-drilled using a pre-drilling execution mode of a piece of 'unattended timetable' software to get test data meeting requirements, and a simulated electromagnetic environment adapting to dynamic change is constructed. Multiple pieces of equipment are programmed for a long time in a continuous, automatic and distributed manner using a task action type library and a task time sequence of the 'unattended timetable' software, test data of electronic equipment in the process of electromagnetic environment simulation experiment collected on the basis is accurate and valuable, and sufficient reliable basic data can be provided for follow-up information integration, information interaction, analog simulation and information fusion. The method is advantaged in that the method has a high degree of automation control as a whole, can better adapt to the dynamic change of analog electromagnetic signals, and can adapt to the diversity and complexity of test equipment in a simulated electromagnetic environment.

The embodiment of the invention provides a method and a device for simulating a tectonic stress field. The method comprises the following steps: utilizing tectonic explaining result information in a target work area to establish a tectonic model; confirming interior physical property parameters by utilizing material attribute information acquired from a rock mechanical test for seismic inversion result data and an objective interval rock sample in the target work area; performing tectonic evolutionary analysis treatment on the tectonic model in combination with geological background information, thereby acquiring bottom margin displacement information; confirming static rock pressure according to objective interval burial depth and logging density curve and confirming an inferior tectonic force in a preset period at a boundary of a target work area on the basis of the geological background information; respectively utilizing the static rock pressure, the inferior tectonic force in the preset period and the bottom margin displacement information as the constraint conditions of the top boundary, the peripheral boundary and the bottom boundary of the tectonic model and performing finite element modeling and calculating treatment in combination with an interior physical property parameter, thereby acquiring the tectonic stress field in the target work area. The technical scheme provided by the embodiment of the invention is utilized to more accurately confirm the tectonic stress field in the work area.

The computerized intelligent on-line monitoring system for the harmful volatile amount of artificial board and its product in timber industry includes front end devices, formaldehyde monitoring network based one CAN bus and one computerized control terminal. One self-learning expert model containing multiple variable uncertainty system is established by means of modern control theory, neuron, etc for the statistical treatment and analysis of acquired monitoring data and the remote diagnosis and calibration of in-situ units.

The invention discloses a technique method of lake nutrient zoology zone boundary identification, which refers to the fact of conducting cluster analysis on various index data collected from a lake nutrient zoology zone by using a double restrain space clustering algorithm. The technique method is characterized by comprising the following steps: conducting spatial data pretreatment and characteristic treatment, enabling a clustering space to be separated into a plurality of clusters with homogenic attributes, generating a Voronoi picture of spatial point sets, conducting cluster combination, achieving visualization of clustering results, and outputting the clustering results. A final classification zoning result of the technique method reflects whole systematic difference between samples rather than difference on individual indicators, and comprehensiveness principles of the lake nutrient zoology zone are met. Therefore, the technique method of the lake nutrient zoology zone boundary identification is good in clustering effect, small in artificial influence, simple and convenient in operation, high in automaticity and computing efficiency and the like, and the technique method is strong in applicability, and capable of being used in high dimensional data mining in different fields.

The invention provides a small-size multifunctional forest tending leftover collecting system which is small in size and flexible and mobile in work. The small-size multifunctional forest tending leftover collecting system comprises a chassis, a vehicle shell located on the chassis and a driving seat located on the rear portion of the vehicle shell. A movable arm is hinged to the upper portion of the vehicle shell. The chassis is provided with a movable arm lifting hydraulic cylinder. The movable arm lifting hydraulic cylinder is connected with the movable arm and capable of lifting the movable arm. The free end of the movable arm is connected with a gripping tool frame in a hinged mode. The gripping tool frame is provided with a plurality of sets of upper gripping tools and lower gripping tools, wherein the upper gripping tools and the lower gripping tools are meshed with one another. The lower gripping tools are fixed to the gripping tool frame. The upper gripping tools are hinged to the gripping tool frame. The gripping tool frame is further provided with a gripping tool hydraulic cylinder. The gripping tool hydraulic cylinder can open and press the upper gripping tools. The movable arm is provided with an overturning oil cylinder, and the overturning oil cylinder can drive the gripping tool frame to turn over up and down.

The invention discloses a heating pump and washing equipment. The heating pump comprises a pump case, an impeller, a flow guidance element, a heating element and a driving element, wherein the impeller can be rotatably arranged in the pump case and comprises a front cover plate, a rear cover plate and a plurality of blades arranged between the front cover plate and the rear cover plate; the middleof the front cover plate is provided with an impeller inlet which communicates with a water inlet; flow channels on the periphery of the front cover plate and the periphery of the rear cover plate form impeller outlets; the blades comprise first blades and second blades, wherein the first blades and the second blades are alternately arranged; the first blades and the second blades are twisted blades which are backwards bent along the radial direction of the impeller from a position near the center of the impeller to the impeller outlets and are arranged at intervals along the radial directionof the impeller; the first blades are near the center of the impeller relative to the second blades; the flow guidance element is arranged above the impeller; and the heating element is arranged in the pump case and covers the outer side of the flow guide element. The blade of the invention can more favorably push a working fluid so as to be favorable for increasing a lift and improving efficiency, and the heating pump is suitable for complex working conditions and requirements.

An Lp norm-based sample couple-weighting facial feature extraction method belongs to a feature extraction method in pattern recognition. The Lp norm-based sample couple-weighting facial feature extraction method includes the following steps: (1) n facial images, the sizes of which are M multiplied by N, are represented in the form of column vectors, wherein the dimensionality of Xi is d, and the column vectors are formed into a sample matrix; (2) different functions are adopted as weighting functions for facial sample couples of the same kind and facial sample couples of different kinds; (3) a sample couple-weighting optimization model with Lp norm constraints is created, and an iterative optimization algorithm is utilized to obtain a locally optimal unit projection vector w; and (4) a greedy algorithm is used for reducing the initial d dimensions of the features of the facial images to m dimensions, and thereby the reduction of dimensionality and the extraction of effective features are implemented. The method can flexibly carry out feature extraction on different types of data sets and decrease the sensitivity on abnormal values, and can be more adapted to the complexity of facial images; and since sample couples are weighted, the affection of sample mean is avoided, and extracted features are more effective. Under the condition of blocking, the performance of the method is enhanced by 2 to 5 percent in comparison with the performance of PCA (principal component analysis) and Lp-PCA-L1.

The invention provides an improved Canny lane line edge detection algorithm which is used for improving robustness and accuracy of an intelligent vehicle environment perception algorithm. The method comprises the steps of (1) inputting a candidate edge image of a gradient amplitude array after non-maximum suppression; (2) scanning the candidate edge image, and judging whether candidate edge pointsexist in eight neighborhoods of an edge point or not; (3) calculating an edge direction angle value corresponding to the point f (x, y) and the first candidate edge point scanned in the eight neighborhoods according to an edge direction criterion; (4) continuing to scan candidate edge points marked as edge points in the eight neighborhoods of the point f (x, y); (5) calculating an edge directiongradient amplitude standard deviation between each candidate edge point meeting the edge direction and the edge point f (x, y); and (6) continuing to scan the candidate edge image, and searching for new candidate edge points until no new unmarked candidate edge points appear. According to the invention, the robustness and accuracy of the intelligent vehicle environment sensing algorithm can be improved.

The invention provides an intersection signal control mobile tuning device based on edge calculation. The device comprises a multi-source information receiving and storing unit, an edge calculation unit and a signal tuning unit based on a deep neural network. The multi-source information receiving and storing unit receives intersection real-time state data sent by roadside sensing equipment in real time through an edge 5G communication network and stores the intersection real-time state data; the edge calculation unit is used for receiving the intersection real-time state information acquiredby the multi-source information receiving and storing unit and processing the intersection real-time state information; and the signal tuning unit based on the deep neural network adjusts and optimizes the intersection signal based on the data processing result. The mobile tuning device provided by the invention can tune and optimize the intersection of a traffic system, and when the traffic system is jammed, the signal tuning unit of the key intersection at the moment can be built in the mobile tuning device and moved to the intersection to be tuned and optimized, so that the operation efficiency of the key intersection is improved, and the jam of the traffic system is relieved.

The invention provides a parallel platform for a fruit and vegetable picking manipulator. The parallel platform comprises a static platform, a moving platform, a rotating pair R4, single open-chains I, II, III and four servo motors. The parallel platform further comprises a specific topological structure, wherein the topological structure of the parallel platform is 3-RRC+R, and the parallel platform has higher positioning performance under the PID feedback regulation effect, so that the leakage rate and the crushing rate can be effectively reduced; the single positioning time takes less time,so that the response time of mechanical actions is effectively shortened; and the three-dimensional imaging is applied to a target positioning system, so that the positioning of fruits can be effectively realized, and the parallel platform can adapt to the complexity of the operating environment of a fruit tree picking robot and the particularity of the operating targets.

The invention discloses an automatic mud scraping device which comprises a rack, filter plates, a mud scraping component and a driving component, sunken parts are arranged at two sides of each filterplate and are internally provided with lug bosses, a plurality of filter plates are connected, the lug bosses on the adjacent filter plates are contact, the filter plates can move back and forth alongthe rack, a scraping plate is arranged on the mud scraping component, is used for scraping mud on the filter plates, and can stretch to bypass the lug bosses, and the driving component is arranged onthe rack to be used for driving the mud scraping component to lift along the rack. According to the technical scheme, an automatic mud discharging device is additionally arranged on a mud pressing machine, not only can the work efficiency of mud discharging be improved, but also the condition that a worker is positioned in the work environment full of dust for a long time can be avoided. Therefore, the automatic mud scraping device can solve the problem of low mud discharging efficiency in the mud discharging process, and can improve the healthy level of staff.

The invention discloses a bearing type military off-road vehicle rear wheel cover welding clamp system and method.The clamp system comprises a robot welding workstation and four clamp modules, the first clamp module fixes a middle floor, a left middle floor, a right middle floor and a rear floor, and the second clamp module fixes a left rear longitudinal beam, a right rear longitudinal beam, a floor cross beam and a reinforcing beam; the third clamp module fixes a left wheel cover, a right wheel cover and a suspension buffering support, the first clamp module, the second clamp module and the third clamp module are welded to the back face of a rear wheel cover assembly, three faces of the robot welding work station are arranged around the fourth clamp module, and the fourth clamp module fixes the turned rear wheel cover assembly. The robot welding work station comprises an arc welding mechanical arm, an arc welding gun and a laser tracker, the arc welding gun is fixed to the end of the arc welding mechanical arm, the mechanical arm controls the arc welding gun to move along a welding line path, the laser tracker plays a role in tracking and guiding, and the problems that mixed flow production of the rear wheel cover assembly is difficult, and the welding procedure of the rear wheel cover assembly is complex are solved.

The invention provides a dual-motor dual-clutch dual-speed-ratio electric vehicle power assembly and an electric vehicle, and relates to the field of electric vehicles, the dual-motor dual-clutch dual-speed-ratio electric vehicle power assembly comprises an outer shell, a composite motor and a dual-clutch transmission, the composite motor comprises a first motor and a second motor, the first motor comprises a first rotor, a first stator and a first motor shaft, the first rotor is rotatably arranged in the outer shell, and one end of the first rotor is connected with the first motor shaft. The first motor shaft is hollow, and the end, away from the first rotor, of the first motor shaft extends out of the outer shell and is in running fit with the outer shell. The second motor comprises a second rotor, a second stator and a second motor shaft; the second rotor is rotatably arranged in the second stator, and the second motor shaft is sleeved in the second rotor. The first stator is arranged in the first rotor, and the second stator is arranged in the first stator; or, the first stator is arranged outside the first rotor, and the second stator is arranged in the first rotor.

The invention belongs to the technical field of pod equipment, and provides a flower-blooming type openable pod for launching and recycling an unmanned aerial vehicle in the air. The flower-blooming type openable pod comprises a cabin body 1, a flower-opening type six-cabin door 2 at the bottom of the cabin body, an upper supporting plate 6 and a lower supporting plate 5 which are arranged in the cabin body, electric appliance control equipment fixedly arranged on the upper supporting plate 6, a trumpet-shaped recovery device 3 fixedly arranged on the lower supporting plate 5, and a linkage mechanism 7 fixedly arranged between the upper supporting plate and the lower supporting plate. The linkage mechanism 7 is used for controlling opening and closing of the cabin door 2 and controlling lifting of the trumpet-shaped recovery device 3 and the aircraft 4-2, and the trumpet-shaped recovery device 3 is used for achieving launching and recovery of the aircraft 4-2. Mutually independent petal-shaped opening and closing of cabin doors of all cabin bodies can be achieved, synchronous movement of opening and closing of the cabin doors and single-drive multi-mechanism lifting of the aircraft can be achieved, and effective launching, mounting, air recovery, closing, charging and the like of the aircraft can be achieved.

The invention provides a TV power supply control and management device, which includes an infrared receiving module, a broadband wireless transceiver module, a main central processing module, a power supply module, and a power supply control module connected to the above-mentioned modules. The signal controls the power supply module to output the working voltage to the main central processing module and the broadband wireless transceiver module; and, according to the shutdown command generated by the main central processing module, controls the power supply module to output the standby voltage to the infrared receiving module. Correspondingly, a television power control and management method is also provided. Using the invention can realize the normal startup and shutdown of the TV.

The invention discloses a single-channel aliasing signal modulation mode recognition method based on a residual neural network. The single-channel aliasing signal modulation mode recognition method comprises the following steps of 1, obtaining time-frequency aliasing signals of different code rates through simulation; 2, building and training a neural network; 3, acquiring actually measured aliasing signals, and only carrying out necessary signal processing on the received and transmitted signals; and 4, inputting the signals obtained in the step 3 into the residual neural network obtained in the step 2 to obtain a recognition result of the aliasing signals. According to the invention, a stacked residual error neural network is adopted, the traditional serial residual error module connection is improved, and the defects of high redundancy of information processing and unstable hierarchical transmission of a traditional residual error neural network are avoided; digital aliasing signals with different code rates are input into the network in a data augmentation form, so that the robustness and generalization ability of the network are enhanced; the method does not need any prior information, does not need to carry out additional preprocessing on the signals, and directly carries out the recognition and classification of the signals.

The invention discloses a rear suspension cutting machine, which comprises a frame; a suspension frame, fixed on the frame; a cutting device, located at both ends of the frame; a horizontal telescopicmechanism, mounted on the frame to drive the telescopic movement of the cutting device; a depth limiting wheel, fixed on the frame to control the cutting depth of the cutting device; the cutting device comprises a knife holder and a root cutting blade, and the knife holder is provided with various angle adjusting holes, and the knife holder is detachably fixed through the angle adjusting hole andthe two ends of the horizontal telescopic mechanism. The machine can be used for adjusting the root cutting width and the penetration angle of the root cutting blade, and can adapt to the root cutting operation of fruit trees with various row spacing, and the operation is simple.