14 results about "Simple computation" patented technology

According to the present invention, multiple parametrically encoded audio signals can be efficiently combined using an audio signal generator, which generates an audio output signal by combining the down-mix channels and the associated parameters of the audio signals directly within the parameter domain, i.e. without reconstructing or decoding the individual input audio signals prior to the generation of the audio output signal. This is achieved by direct mixing of the associated down-mix channels of the individual input signals. It is one key feature of the present invention that the combination of the down-mix channels is achieved by simple, computationally inexpensive arithmetic operations.

The present invention updates a highly accurate operating time and / or machining time for which an operating time is required, while the operating time and / or machining time is quickly estimated by a simple calculation. A device for predicting machining time (1) comprises: a simple prediction unit (10) that reads and interprets an NC command and calculates a first block movement time based on at least the distance of each block and a feed rate or time; a parameter acquisition unit (12) that acquires a parameter used in the drive and control of a numerically controlled machine tool; a precision prediction unit (11) that calculates a second block movement time based on at least the NC command and the parameter; a block movement time update unit (13) that uses the second block movement time to update the first block movement time and thereby calculate a machining time; and a machining time output unit (14) that outputs the machining time.The output unit for processing time (14) outputs the processing time calculated as a result of the block movement time update unit (13), using the second block movement time to update the first block movement time under a predetermined condition.

The invention discloses a frame rate control method, which belongs to the field of image acquisition, and comprises the step of adjusting the frame rate of a next frame image according to the motion state, speed and pixel change rate of a current frame image relative to a previous frame image. The motion state comprises integral movement and non-integral movement; firstly, whether overall movement occurs is judged; when the movement is overall movement, determining the initial frame rate of the next frame of image according to the speed of the current frame of image, and then determining the final frame rate of the next frame of image according to the pixel change rate of the current frame of image relative to the previous frame of image and the initial frame rate of the next frame of image; and if not, determining the final frame rate of the next frame of image directly according to the pixel change rate of the current frame of image relative to the previous frame of image. According to the method, the frame rate of the next frame of image can be dynamically adjusted only through simple calculation and judgment, good adaptability is achieved for a dynamic scene, and the collection quality of the next frame of image can be ensured so that back-end processing can be facilitated.

This application discloses a multi-attribute tunable three-dimensional mechanical metamaterial structure and its design method, relating to the field of mechanical metamaterials. This application provides a novel unit cell structure, and the properties of this three-dimensional mechanical metamaterial structure are related to the characteristic parameters of the unit cell structure. Therefore, by adjusting the characteristic parameters of the unit cell structure, the Poisson's ratio, compressibility coefficient, and coefficient of thermal expansion of the three-dimensional mechanical metamaterial structure can be adjusted. During the design process, through a combination of finite element analysis and theoretical analysis, and by simple calculation analysis and optimized selection of characteristic parameters, the three properties of the three-dimensional mechanical metamaterial structure can be individually controlled. This allows the three-dimensional mechanical metamaterial structure to possess the desired target properties, filling a gap in the industry and possessing significant industrial practical value. It can meet the actual needs of new advanced equipment with multiple functions and applications.

This invention discloses a verifiable federated learning method based on hybrid homomorphic encryption. Its key feature is that, on a centralized client-server architecture for federated learning, it employs hybrid homomorphic encryption technology supporting SIMD operations to encrypt data. While ensuring data privacy and correct aggregation, it leverages the advantages of symmetric encryption—simple computation and no ciphertext inflation—to overcome the shortcomings of public-key homomorphic encryption schemes, which are computationally complex and suffer from severe ciphertext inflation. A verification code is constructed using Lagrange interpolation, allowing the client to verify the aggregation results. Specifically, it includes steps such as system initialization, model training and data encryption, aggregation, aggregation result verification, and model updating. Compared with existing technologies, this invention ensures user gradient confidentiality, aggregation correctness, and the integrity of aggregation results during the federated learning aggregation process, while reducing the number of public-key encryption operations, alleviating computational and communication burdens, and significantly improving efficiency.

The application discloses a monocular 3D target detection method based on deep dynamic center difference convolution, and belongs to the technical field of automatic driving. The application comprises the following steps: acquiring an image, determining an anchor frame pre-design, inputting the preprocessed image into a main feature extraction network, extracting semantic information, performing classification branch and regression branch on the output feature map, performing post-processing operation on the category information and regression information, and obtaining the category and 3D bounding box of the target in the RGB image. In the depth estimation of monocular 3D target detection, the deep dynamic center difference convolution is used to replace the traditional convolution, the deep dynamic operation makes the network consider the depth information, the local size information and the geometric information of each sample at the same time, the center difference further improves the refinement degree of the network at each pixel, and only simple calculation is used without occupying too much memory. The accuracy of depth estimation is improved, and the precision of monocular 3D target detection is finally improved.

The invention relates to a method for determining the construction status of a building, wherein the method is executed by a computer based on optically acquired measurement data of the building, the measurement data being processed as a point cloud with a horizontal plane as the sheet plane and a height axis perpendicular to the sheet plane, wherein the method comprises at least the following steps in the aforementioned order: a. creating at least one section in the horizontal or vertical plane from the point cloud; b. capturing point-free areas in each of the sections; and c. creating a boundary around each captured point-free area. With the method proposed here, an exact shape and position of the building structure can be determined using simple computer-aided means based on an optically generated point cloud.

The utility model relates to the technical field of tunnel detection equipment, in particular to a tunnel construction steel frame installation space size and gradient inspection device which comprises a cross rod with a cavity, a vertical rod located in the center of the cross rod and perpendicularly connected with the cross rod, and baffles arranged at the two ends of the cross rod in a sliding mode. A measuring assembly is arranged in the vertical rod and used for measuring the distance between the two baffles. According to the utility model, the baffle plates move outwards by sliding the adjusting rod upwards, so that the distance between the two baffle plates is enlarged until the baffle plates abut against the edge of the arch frame, the reading of the graduated scale is observed, the measuring line value can be measured through simple calculation, namely the design length of a 2X + original instrument, the structure is simple, the cost is low, and mass production can be realized.

The application discloses a method for calibrating a convex quadrilateral in an image, an electronic device and a computer readable medium. In a software calibration stage, coordinates of four vertices of a nearest neighbor rectangle of the convex quadrilateral in the image are calibrated in sequence, and step residuals of four edges are calculated. In a hardware calibration stage, processing is performed in an image raster scan order, and a rectangular region is calibrated according to the four vertices of the nearest neighbor rectangle. Step residuals of the four edges of the convex quadrilateral are used to sequentially calibrate difference regions between each edge and the rectangle. The nearest neighbor rectangular region is excluded from the difference regions, and the remaining convex quadrilateral is the required calibration. Therefore, the function of calibrating the convex quadrilateral in the image can be realized by simple calculation, and the multiplier is not required in the hardware to calibrate the convex quadrilateral, so that the hardware implementation area is greatly saved.

The invention provides an RB channel demosaicing method and device based on a RAW image in a tetrabyl format, electronic equipment and a computer storage medium. The method comprises the following steps: acquiring the RAW image in the tetrabyl format and a G channel image corresponding to the RAW image in the tetrabyl format; calculating a GR color difference image and a GB color difference image on the basis of weighted up-sampling by using the RAW image in the tetrabayer format and the G-channel image; performing smooth filtering processing on the GR color difference image and the GB color difference image; and subtracting the G-channel image from the GR color difference image and the GB color difference image after smooth filtering processing to obtain an R-channel image and a B-channel image. A GR chromatic aberration image and a GB chromatic aberration image are obtained through interpolation of a G-channel image, then the chromatic aberration image is filtered and then subtracted from the G-channel image to obtain an R-channel image and a B-channel image, and demosaicing processing of an RB channel of the RAW image in the tetrabayer format is achieved through a simple calculation processing process. The problem of how to carry out demosaicing processing on the RB channel of the RAW image in the tetrabayer format is solved.

In order to provide a content-video playback program, a content-video playback device, a content-video playback method, a content-video-data generation program, and a content-video-data generation device that are capable of playing back a high-quality video of aerosols in the atmosphere, such as cloud, fog, haze, steam, and gas, with less computer resources, a video playback processing unit that plays back a compressed video data generates video data, with high reproducibility, through only simple calculation processing in which items of grid-cell image data are moved by grid vectors, and brightness interpolation calculation processing is performed.

The invention provides a method and a device for identifying a disordered texture region of an RGB image, electronic equipment and a computer storage medium. The method comprises the following steps: acquiring the RGB image; separating a G channel image from the RGB image; calculating a pixel value variance, a brightness variance and a gradient of the current pixel based on the G-channel image; and according to the pixel value variance, the brightness variance and the gradient of the current pixel, judging whether the region where the current pixel is located is a disordered texture region or not. The pixel value variance, the brightness variance and the gradient are calculated through the G channel image based on the maximum sampling rate, and whether the region where the current pixel is located is the clutter texture region is judged from the three dimensions of the pixel value variance, the brightness variance and the gradient, so that accurate recognition of the clutter texture region is realized through simple calculation. The problem of how to accurately identify the disordered texture region in the RGB image is solved.

The application provides a kind of unmanned aerial vehicle cluster control method and system based on trajectory parameter communication, first, the trajectory is divided by the navigation unmanned aerial vehicle and the current segment trajectory parameter is calculated;Second, the navigation unmanned aerial vehicle encapsulates the current segment trajectory parameter according to the set communication message format, and publishes the trajectory parameter message to the follower unmanned aerial vehicle in its communication range;Then, the follower unmanned aerial vehicle subscribes the trajectory parameter message from the navigation unmanned aerial vehicle, and forwards the trajectory parameter message to the follower unmanned aerial vehicle outside the communication range of the navigation unmanned aerial vehicle;Finally, the follower unmanned aerial vehicle calculates the flight trajectory according to the received trajectory parameter;And travels according to the flight trajectory.The application can not only reduce the data volume of communication, but also reduce the frequency of information exchange by transferring flight path parameters.After the follower unmanned aerial vehicle receives the information of the navigation unmanned aerial vehicle, it only needs to perform simple calculation to complete the path planning within a period of time, and realizes formation control in a distributed manner to maintain the consistency of cluster trajectory.