389 results about "Overlap ratio" patented technology

The invention discloses a unmanned aerial vehicle (UAV) path determination method and apparatus for reconstructing a three-dimensional model, the method comprising the steps of: constructing a three-dimensional point model forming an outline of a captured building; determining a photographing points of a flight path of the UAV around the building so that a camera on the UAV can capture a corresponding point set covering the three-dimensional point model at each photographing point and the overlap ratio of the point sets captured by the camera at adjacent photographing points is greater than an overlap ratio threshold; instructing the UAV to fly along the flight path and instructing the camera to photograph the building at corresponding photographing points. The method can calculate minimum photographing point sets satisfying a three-dimensional reconstruction requirement just by acquiring the height and the two-dimensional orthograph of a three-dimensional reconstructed target, so as to provide guidance for a three-dimensional reconstruction data acquisition process, to ensure that the acquired images meet the three-dimensional reconstruction requirement, to avoid the collection of redundant image information, and to improve the efficiency of the three-dimensional reconstruction process.

The embodiment of the invention discloses an image target detection method and device and a storage medium, and the method comprises the steps: obtaining a to-be-detected image, carrying out the zooming of the to-be-detected image according to different resolutions, and obtaining a plurality of zoomed images; respectively screening an area conforming to the type of the target area from each zoomedimage to obtain a plurality of initial image blocks; dividing each initial image block into a plurality of regions, and obtaining the probability that each region belongs to a target region; extracting an area of which the probability is greater than a preset threshold from each initial image block to obtain a plurality of candidate image blocks; and mapping the plurality of candidate image blocks to the to-be-detected image, and screening out an area where the candidate image blocks conforming to a preset condition are located according to the overlap ratio of the plurality of candidate image blocks to obtain a target area. According to the scheme, the requirement for computing resources is low, the detection speed is high, and the image target detection efficiency and the target detection accuracy are improved.

The invention discloses a quantum dot material as well as a preparation method, a quantum dot film, a backlight module and display equipment, and belongs to the technical field of liquid crystal display. The preparation method of the quantum dot material comprises the following steps: step a, preparing wet gel dispersed with quantum dots, wherein the wet gel is transparent organic polymer gel or transparent inorganic gel; and step b, using a supercritical drying method or a freeze drying method to convert the wet gel into aerogel to obtain the quantum dot material. By means of three-dimensional network structure of the aerogel to load quantum dots, the quantum dots are orderly and controllably dispersed in a skeleton structure of the aerogel, so as to prevent aggregation of the quantum dots and decrease overlapping ratio of the quantum dots; therefore, luminous efficiency of the quantum dot film based on the quantum dot material is increased, and thereby luminance of the backlight module is improved, and the quantum dot material is favorable for the development of high color gamut liquid crystal display equipment.

The invention provides a method for identifying urban function areas based on WeChat data and interest point data. The method comprises the steps of extracting a people flow matrix, an out-people flow matrix and an in-people flow matrix of each base station from the WeChat data, extracting an interest point type distribution matrix of each base station from the interest point data, and performing normalization processing on the four matrixes based on a base station area element; then performing outlier deleting operations and performing urban space division, data extracting and normalization treatment on the base stations with outliers deleted to generate a new matrix, and then performing clustering analysis on the generated new matrix; finally performing space distribution area overlap ratio calculating on a clustering result and determining functions of urban areas according to overlap ratio calculating results. The method can identify the functions of each urban area accurately, better achieve functional partitioning and characteristic analysis of urban areas, provide technical support for urban structure layout and exploitation and utilization of land, and provide a realistic basis for reasonable utilization of urban space.

The invention discloses a binocular stereoscopic vision based clustered tomato identification method, which comprises the following steps: acquiring stereo image pairs of clustered tomatoes by a binocular stereoscopic camera; performing image segmenting for the stereo image pairs, and extracting boundaries of a tomato cluster to be identified; performing multi-result matching and stereo matching in sequence; obtaining a depth map through triangular range finging; and realizing depth map denoising by utilizing an eight-neighborhood median filtering method; realizing clustered style recognition through applying an iterative Otsu method on the depth map; as for the bonding area, directly applying an identification method through margin curvature analysis for the clustered boundaries of the tomatoes to be identified; as for the overlapping area, after the foremost tomato area is segmented, performing operations including area marking again so as to extract the margin of the depth map of the overlapping area of the tomatoes, and followed by segmenting the boundaries of the tomato cluster to be identified, and utilizing the identification method through the margin curvature analysis; and identifying the foremost tomato according to a depth mean of the tomato area. Due to the adoption of the method, different identification methods apply to clustered tomatoes in different types, and the identification for clustered tomatoes under condition of higher overlapping ratio is also realized.

The image forming method for forming an image on a recording medium by forming dots on the recording medium by depositing droplets on the recording medium by a recording head having a plurality of nozzles ejecting the droplets while moving the recording head and the recording medium relatively to each other by conveying at least one of the recording head and the recording medium in a relative conveyance direction, wherein the image to be formed is divided into a plurality of regions; a density in each of the plurality of regions is set as a prescribed density so as to form the image; a droplet deposition rate is defined as a ratio of a number of the dots actually formed by depositing the droplets from one of the nozzles within each of the plurality of regions with respect to a maximum number of the dots formable by depositing the droplets from the one of the nozzles within the region; and tonal gradation in the image is represented by means of a collection of the dots based on a dot arrangement specified according to the droplet deposition rate calculated from image data of the image to be formed, the image forming method comprises: a droplet deposition rate calculation step of calculating the droplet deposition rate from the image data; a dot arrangement specification step of specifying a dot arrangement pattern from the droplet deposition rate calculated in the droplet deposition rate calculation step; and a droplet deposition control step of controlling droplet deposition operation performed by the recording head in such a manner that the dot arrangement pattern specified in the dot arrangement specification step is achieved, wherein, in at least one of the plurality of the regions where the droplet deposition rate calculated in the droplet deposition rate calculation step is lower than a maximum droplet deposition rate and is higher than a prescribed reference value, a dot line in a main scanning direction substantially perpendicular to the relative conveyance direction is formed in which the dots are continuously aligned so as to mutually overlap by a prescribed overlap ratio, in accordance with the droplet deposition rate calculated in the droplet deposition rate calculation step.

The inventive gear drive comprises toothed wheels with teeth of toothed crowns interacting with single- or multi-flow elements. Working profiles of the interacting teeth comprise piecewise and/or pointwise conjugate, convex at a tooth point and concave at a tooth root arc-shaped sections continuously connectable to each other or to involute sections. The interacting toothed crowns are so embodied that a phase gap of the face tooth intermating at a discrete angle from a point, where the interaction of profiles ends at a point, where the interaction of the face profiles of the next tooth pair starts. The drive is so embodied that the face tooth overlap ratio thereof is less than 1. The so improved teeth provide for high level of the contact tightness and absence of axial forces at engagement, increase the structural flexibility of the gear drive teeth in order to improve their qualities.

Provided are a rigid gear and flexible gear which are used for short-tube flexible-gear harmonic speed reducer and a machining process thereof. Inner teeth of the rigid gear are gear teeth with an inclination angle alpha, the inclination direction of the inclination angle alpha is consistent with the field angle theta2 at the position of a long shaft of the flexible gear, and the inclination angle alpha is 0.1 degree to 2 degrees. Top ends of two tooth profile curve line sections of the outer tooth profile of the flexible gear are connected through a tooth top straight line section. Each tooth profile curve line section is formed by connecting upper circular radius and lower circular radius in smooth transition mode. The harmonic speed reducer comprises the rigid gear, the flexible gear and a wave generator. The ratio of the length and the inner diameter of the flexible gear is smaller than 1. The flexible gear and the rigid gear in the short-tube flexible-wheel harmonic speed reducer are both machined through a slow-feeding wire cutting off machine. The gear teeth of the flexible gear and the gear teeth of the rigid gear are meshed in the certain inclination angle. The total contact area of the meshing teeth pair is increased by 15% compared with the condition where no inclination angle exists. Overlapping ratio of the harmonic gears is improved, and harmonic transmission rigidity is improved.

The invention discloses a three-dimensional laser alignment positioner for a particle image velocimetry and belongs to the technical field of fluid dynamic experiments. The positioner comprises a three-dimensional coordinate adjusting frame and a laser sheet optical correction system. The three-dimensional coordinate adjusting frame comprises a Z-direction coordinate frame, a Y-direction coordinate frame, an X-direction coordinate frame, a front positioning cross ruler, a rear positioning cross ruler, a rotating substrate and a base; and the laser sheet optical correction system comprises two upper and lower laser sheet optical correction boards with the same structure, a focusing ruler, a photoelectric detection board and a photoelectric indicator. By using the three-dimensional coordinate adjusting frame, the positioner can accurately determine the position of a testing plane, realizes the overlap of three surfaces of a flow field testing plane, a laser sheet light surface and a camera shooting surface through the laser sheet optical correction system, automatically detects the overlap ratio through a photoelectric detection device, and avoids human errors brought by the conventional visual inspection and other experimental calibration methods. Therefore, the calibration process of the particle image velocimetry is simpler and more standard and accurate.

The invention discloses an identification method of abnormal cells in pathological sections based on multiscale expansion convolution. The method comprises the steps of 1, preprocessing the electronically-scanned pathological sections to obtain training data; 2, setting up a multiscale expansion convolution division model, wherein a ResNeXt network serves as the basic framework of the model, ASPPmodules and DUC modules serve as the basic modules of the model, and number of the ASPP modules is 1 to 5; 3, adopting the training data obtained in step 1 to train the multiscale expansion convolution division model obtained in step 2, and adjusting parameters of the network according to a model predicting result and the overlap ratio of labels, so that the model is converged and the abnormal cells in the pathological sections are identified. By means of the identification method, the accuracy rate of sifting the abnormal cells is high, the sifting precision of the abnormal cells is high, andthe F1 value serves as an index of a measuring algorithm, and can reach 98% or above.

The invention discloses a direct-drive control system of a single-needle industrial flat bed sewing machine. The system consists of a processor, an operation board, a communication circuit, a motor drive circuit, an electromagnetic valve drive circuit, a footrest detecting circuit, a position detecting circuit, a motor, an over-current protection circuit, a voltage detecting circuit, a current detecting circuit, a switch power, a rectification circuit and a footrest speed regulator; the design of a hardware circuit and software of the system is modularized; thread stop motion is relatively rapid, accurate and free of lagged thread; the overlap ratio of stitch is high, stitching is accurately numbered and sewing process is relatively stable; a human and machine operation interface is more humanized and exercisable, and Chinese characters are also displayed, thereby overcoming the disadvantages of the traditional human and machine interfaces that only English and numerical information is available.

The invention discloses a multi-characteristic multi-model pedestrian detection method, comprising steps of using an ICF+Adaboost classifier A to process a video frame RGB image, using a foreground-mask-based pedestrian detection classifier to process the foreground mask, combining results of the two classifiers, dividing the results into a high confidence level pedestrian detection result and a low confidence level pedestrian detection result according to a threshold value, using an ICF+Adaboost classifier B and a DPM pedestrian detection classifier to perform respective detection on the low confidence level pedestrian detection result, combining detection results of the two classifiers, using a detection score, an overlapping ratio, a width-height ratio, a classifier sequence number and a foreground ratio of each detected pedestrian as characteristic vectors, inputting the characteristic vectors into a ruling SVM to determine whether the detected pedestrian is correct pedestrian detection, outputting a new pedestrian detection result and combining the new pedestrian detection result and the high confidence level pedestrian detection result into a set as a final detection result. The multi-characteristic multi-model pedestrian detection method effectively solves the problem in the prior art that the misjudgment rate is high, and improves the detection rate.

A driving support apparatus installed in a host vehicle calculates an overlap ratio relating to a target object positioned ahead of the host vehicle within the same traffic lane, as the ratio of the width of the target object to its lateral distance from a lane marker line of the traffic lane, and also detects the motion condition of the object (i.e., stationary, moving towards, or in the same direction as the host vehicle, or moving laterally with respect to the forward direction of the host vehicle). An amount of compensation for retarding or advancing the commencement of a collision avoidance operation by the driving support apparatus is determined based on the overlap ratio and/or the motion condition of the target object.

The invention discloses a prediction system and method based on insect body filtration and insect quantity and variety recognition, and belongs to the technical fields of agriculture and forestry plant protection and insect condition monitoring. Aiming at the problems of indefiniteness of target insect bodies to be trapped and killed, inaccurate recognition and quantity prediction caused by insect body stacking, inconvenient disassembly and assembly of equipment and complex maintenance in the prior art, the main purpose of the invention is to provide an insect condition prediction device and method. The insect condition prediction device is characterized in that an insect body filter screen cover is arranged at the outer side of an impact plate or is arranged below a trap lamp tube and above an insect receiving hopper; an insect receiving bag has a function of scattering, separating and dropping insects; the insect bodies are transported and photographed through timing control of the movement of a conveyer belt; and finally, all the insect bodies fall into an insect storage bin or even are directly discharged to the outside of the machine. According to the invention, the insect body selective trap and kill and big insect size selective filtration can be made possible; uploaded pictures can have the favorable effects of clear insect body characteristics and a very low overlapping ratio; and meanwhile, the cleanliness inside the device can be kept, thereby effectively reducing the output of extra manpower.

The invention discloses a design method for a vehicle body front-end structure with vehicle front surface 25% overlapping ratio collision, and aims to solve the problems of design blindness in an existing optimization design process for vehicle body front-end members with vehicle front surface 25% overlapping ratio collision, and repeated modeling and long calculation time during adoption of a CAE technical means in the optimization design process. The design method for the vehicle body front-end structure with the vehicle front surface 25% overlapping ratio collision comprises the steps of 1, building an equivalent simplified model of a vehicle: 1) extracting a stiffness characteristic and an inertia characteristic; 2) parameterizing the extracted stiffness characteristic and inertia characteristic; 3) clearly determining a simulation mode of an equivalent simplified model of each member of the vehicle body front-end structure; 4) simplifying a front longitudinal beam, a front fingerboard and an auxiliary frame; 5) processing other parts of a vehicle body; and 6) verifying the equivalent simplified model of the vehicle; 2, obtaining an anti-collision design objective of the vehicle body front-end structure; 3, designing the front longitudinal beam, the front fingerboard and the auxiliary frame; and 4, performing simulation verification on front surface collision resistance of the vehicle body front-end structure after optimization design.

When a likelihood of a collision between an object and an own vehicle is determined to be present, an vehicle control apparatus calculates an object width indicating a size of the object in a lateral direction and an overlap ratio indicating a proportion of an amount of overlap in the lateral direction between the calculated object width and a determination area that is virtually set ahead of the own vehicle. Based on the calculated overlap ratio, an operation timing for a collision avoidance control is set. The object width is changed when the overlap ratio is less than a predetermined threshold such that the object width is less than the object width when the overlap ratio is greater than the predetermined threshold. The operation timing for the collision avoidance control is set based on a new overlap ratio calculated based on the determination area and the object width after change.

The invention discloses a system for measuring linear and non-linear magneto-optical Kerr rotation, which comprises an ultra-short pulse laser, a helium-based closed-cycle refrigerator, an electromagnet, a laser-pumping optical path, a laser-detection optical path, a linear Kerr signal collection optical path, a non-linear Kerr signal collection optical path, a lock-in amplifier signal collection system and a laser spot monitoring system, wherein the helium-based closed-cycle refrigerator is provided with optical windows and used for controlling the temperature of a sample; the size of the air gap and the magnitude of the magnetic field of the electromagnet are adjustable; the laser-pumping optical path is used for leading in the laser inputted by the ultra-short pulse laser and focusing the laser on the surface of the sample inside the refrigerating head, so as to excite the sample; the polarization plane of the laser-detection optical path rotates after a beam of laser outputted by the ultra-short pulse laser is reflected by the sample; the linear Kerr signal collection optical path is used for collecting the base-frequency signal of the detection laser; the non-linear Kerr signal collection optical path is used for receiving the frequency-doubled signal of the detection laser; the lock-in amplifier signal collection system is used for filtering and amplifying the signals and transmitting the signals to a computer for processing; and the laser spot monitoring system is used for accurately controlling the overlap ratio of the pumped beam laser spot and the detected beam laser sport. The system provided by the invention for measuring the linear and non-linear magneto-optical Kerr rotation is capable of simultaneously adjusting the temperature and the intensity of the magnetic field applied to the sample and achieving the measurement of the linear and non-linear magneto-optical Kerr effect on a temperature-variable steady-state basis or a time-resolved dynamic basis.

An absorbent article having a longitudinal axis extending in a longitudinal direction and a transversal axis extending in a transversal direction perpendicular to the longitudinal direction. The absorbent article comprises a fluid-permeable topsheet, a lotion on the topsheet having a lotion pattern covering a lotion pattern area, a fluid-impermeable backsheet, and an absorbent core between the topsheet and the backsheet. The core wrap defines a core footprint in a plane parallel to the longitudinal direction and transversal direction. The article comprises an intermediate layer between the topsheet and the absorbent core, the intermediate layer comprising at least one longitudinally-extending channel, preferably at least a pair of longitudinally-extending channels disposed symmetrically on each side of the longitudinal axis. The topsheet is depressed in the channel(s). The lotion-to-channel overlap ratio ranges from 0% to 20% of the area of the channel(s). The lotion-to-channel overlap ratio is the percentage of the channel(s) of the intermediate layer overlapping with the lotion pattern.

The invention discloses a digital method for tracing characters in red and practicing penmanship. The digital method comprises the following steps of: displaying template characters to be traced in red or written in a character writing area of a screen of digital equipment; automatically simulating a writing process of the template characters, and dynamically demonstrating the stroke writing sequence of the template characters; and tracing each stroke of each template character in red or writing each stroke of each temperature character by a person who traces the template characters in red or practices penmanship according to the stroke writing sequence, comparing the traced handwriting or written handwriting with the corresponding stroke of each template character after tracing or writing each stroke, and keeping the traced handwriting or the written handwriting if the overlap ratio of each stroke of the traced handwriting or the written handwriting to the corresponding stroke of each template character meets appointed requirements, or converting each stroke of the traced handwriting or the written handwriting into the stroke of the corresponding template character.

The invention relates to an atomic space-adjustable dark magnetic optical trap method and device for preparing ultra cold polar molecules. With the method and device adopted, the technical problem of little possibility for atomic groups to realize space absolute overlap in a current ultra cold polar molecule preparing process can be solved. According to the method and device of the invention, trapping light of A atoms and B atoms are merged into one beam through corresponding optical components; the beam is divided into six beams; the six beams and an inverse helmholtz magnetic field form a magnetic optical trap, so that the overlap ratio of an A atom group and a B atom group trapped by the magnetic optical trap can be significantly enhanced; in a dark magnetic optical trap which is formed by depumping light through adopting a dark point, the intensity ratio of two beams of mixed light can be adjusted through adjusting several wave plates, particular, a third wave plate, and therefore, the work of the overlap of the two atom groups can be controlled, and an ideal condition can be created for the association of the atom groups; a user can know how to adjust the intensity ratio of beams of mixed light through observing atom group images acquired by a CCD image sensor, so that the overlap of the two atom groups can be realized, and the rate and yield of ultra cold polar molecule preparation can be effectively improved.