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776results about How to "Reduce the effect" patented technology

Machining method of thin-wall honeycomb core material curve machining molded surface

ActiveCN106903357AImprove milling efficiencyImprove machining accuracy and surface qualityWorkpiecesMilling equipment detailsThin walledHoneycomb
The invention discloses a machining method of a thin-wall honeycomb core material curve machining molded surface, and aims to provide a honeycomb machining method with high milling efficiency and capable of prolonging the life of a special honeycomb combined milling tool. The machining method is realized through the following technical scheme: when a double sided tape fixing state at the earlier stage of honeycomb machining is good, the special honeycomb combined milling tool with a conical disc return milling tool is changed for cutting; the rotating direction of the special honeycomb combined milling tool is changed; the conical disc return milling tool for feeding by a wedged angle of 30-45 degrees through high-speed rotation is used for cutting roughing; according to an anticlockwise tool rotating mode in the tool rotating direction, the downward pressure is applied to a honeycomb thin-edge area (1) through anticlockwise rotation; the part, easy to be pulled and damaged, of the thinnest honeycomb edge of the honeycomb bottom cutting profile is firstly machined; and after the honeycomb thin-edge area (1) of a NOMEX honeycomb part blank is machined, the sequential gradient machining is performed in (2-6) thickness direction of the thick-edge area cutting profile layer by layer, and the other parts are machined.
Owner:CHENGDU AIRCRAFT INDUSTRY GROUP

Image processing method and system based on bi-sensor imaging

The invention discloses an image processing method and system based on bi-sensor imaging, comprising the steps of conducting image processing on a first image and obtaining a first grey-scale map; conducting image processing on a second image, and obtaining a second grey-scale map; obtaining the current imaging distance when the first image and/or the second image are/is imaged; determining the target registering parameter based on the registering database and the current imaging distance; conducting position registering on the first grey-scale map and the second grey-scale map based on the target registering parameter, and obtaining a first registering image corresponding to the first grey-scale map and a second registering image corresponding to the second grey-scale map; erging the first registering image with the second registering image and displaying the two registering images. The invention also discloses a corresponding image processing system, comprising an imaging module, animage processing module, a registering module, and a merging display module. The invention is advantageous in that the influence of different imaging conditions on the registering of images can be taken into consideration; the registering precision can be improved, and the merging effect of images can be enhanced.
Owner:HANGZHOU HIKVISION DIGITAL TECH

NK cell in-vitro amplification composition and NK cell amplification method

The invention discloses an NK cell in-vitro amplification composition and an NK cell amplification method and relates to an NK cell amplification composition and an amplification method. The invention aims at solving the problems of low multiple, low purity, long amplification period and high cost of current NK cell amplification. The composition comprises NK amplification trophocyte, IL-2, inactivated autologous plasma and GT-T551 H3 culture medium. The amplification method comprises the following steps: re-suspending PBMCs with the GT-T551 H3 culture medium; transferring into a culture bottle; adding the IL-2, NK amplification trophocyte and autologous plasma; and performing in-vitro co-culture for 15 days, wherein the NK amplification trophocyte is supplemented in the 7th day of the culture, the culture medium is supplemented in the culture process, and the cells are collected for detection in the 13th and 15th days of the culture. The composition can remarkably promote mass amplification of NK cells to meet the needs of clinical application; and the obtained NK cells have relatively high purity, the cost is saved, and the killing activity is improved. The NK cell in-vitro amplification composition and NK cell amplification method are applied to the amplification of NK cells.
Owner:天晴干细胞股份有限公司

Image device, control method for the imaging device, program for performing the control method, and recording medium recording the program

Disclosed herein is an imaging device having a lens including a zoom lens and a focus lens; an image sensor for outputting an imaging result of an optical image formed by the lens; a signal processor for processing the imaging result to output a video signal; a detector for processing the video signal to output an evaluation value indicative of the degree of focusing; a memory for storing data of an imaging range where a focused image is ensured, by using a cam curve of the lens; and a controller for moving the focus lens in concert with the zoom lens; wherein when a focal depth detected according to a current position of the zoom lens is less than the imaging range at the current position of the zoom lens, the controller performs autofocus control using the evaluation value to move the focus lens; and when the focal depth is greater than the imaging range at the current position of the zoom lens, the controller performs focus control by the cam curve to move the focus lens. Thus, the autofocus control and the focus control by the cam curve are switched to each other according to the result of comparison between the focal depth and the imaging range at the current position of the zoom lens.
Owner:SONY CORP

Semi-supervised learning-based pedestrian detection method

The invention discloses a semi-supervised learning-based pedestrian detection method. The method includes the following steps that: the training samples of a source image set and the categories of the training samples are obtained, pedestrian labeling is performed on a part of images in a target scene image set, and training samples and sample features corresponding to target scene images are obtained; a decision-making forest is generated through training based on the training samples of the source image set, training samples of which the categories are known in the target scene image set are adopted to screen decision-making trees in the decision-making forest, and after the decision-making trees are reorganized, a new decision-making forest can be generated; the new decision-making forest is adopted to score training samples of which the categories are unknown in the target scene image set, and training samples with high confidence are labeled as pedestrian training samples; the training samples of which the categories are known in the target scene image set and the pedestrian training samples are adopted to train a neural network; and test samples are inputted into the new decision-making forest, test samples with high confidence are made to pass through the neural network, so that a pedestrian detection result is obtained. The semi-supervised learning-based pedestrian detection method is advantageous in high pedestrian detection accuracy.
Owner:SOUTH CHINA UNIV OF TECH
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