摘要：【中文】本申请公开了一种AF膜漏镀检测装置及方法，包括蒸汽发生器和缺陷采集组件，其中：蒸汽发生器的顶部和侧壁分别设有蒸汽挥发口和阻隔口，镀有AF膜的盖板玻璃的一面朝向蒸汽挥发口，阻隔口的长度等于蒸汽发生器侧壁的长度；阻隔口内设置有可抽拉的绝热挡板，绝热挡板的面积大于蒸汽发生器的水平截面面积；缺陷采集组件包括相连接的相机和镜头，相机芯片中心与蒸汽挥发口中心对齐，相机连接于处理器。本申请能够将盖板玻璃上的全部显示区域进行蒸镀水雾层，确保呈现出全部的未镀AF膜区域，且水雾层能够快速蒸镀于整个盖板玻璃的表面，通过成像方式，快速有效实现检测，极大的提高检测效率，水雾层在短暂时间内挥发，不会影响盖板玻璃的清洁度。 【EN】The application discloses AF membrane leaks and plates detection device and method, including steam generator and defect acquisition subassembly, wherein: the top and the side wall of the steam generator are respectively provided with a steam volatilization port and a blocking port, one surface of the cover plate glass plated with the AF film faces the steam volatilization port, and the length of the blocking port is equal to that of the side wall of the steam generator; a drawable heat insulation baffle is arranged in the blocking opening, and the area of the heat insulation baffle is larger than the horizontal section area of the steam generator; the defect collecting assembly comprises a camera and a lens which are connected, the center of a camera chip is aligned with the center of the steam volatilization port, and the camera is connected with the processor. This application can carry out the coating by vaporization water smoke layer with whole display area on the cover plate glass, ensures to demonstrate whole not coating by vaporization AF membrane region, and the water smoke layer can be fast the coating by vaporization in whole cover plate glass's surface, through the formation of image mode, effectively realizes the detection fast, very big improvement detection efficiency, and the water smoke layer volatilizees in short time, can not influence cover plate glass's cleanliness.

摘要：【中文】本发明属于植物组培快繁与种质资源保存技术领域，涉及一种瓦苇属多肉植物蓝镜的种质资源离体保存方法。它包括，制备培养基；制备瓦苇属多肉植物蓝镜的种质资源；离体保存；增殖培养。本发明提供了一种方便简单的瓦苇属多肉植物蓝镜的种质资源离体保存方法，保存成本低，操作简单，同时提供了用于瓦苇属多肉植物蓝镜种质离体保存时抑制生长的培养基的浓度及保存条件。 【EN】The invention belongs to the technical field of plant tissue culture and rapid propagation and germplasm resource preservation, and relates to an in vitro preservation method of germplasm resources of a pyrrosia succulent plant bluelens. It comprises preparing culture medium; preparing germplasm resources of a pyrrosia succulent plant bluelens; preserving in vitro; and (5) propagation culture. The invention provides a convenient and simple germplasm resource in vitro preservation method of a pyrrosia succulent bluelens, which has low preservation cost and simple operation, and simultaneously provides the concentration and preservation condition of a culture medium for inhibiting growth when the pyrrosia succulent bluelens germplasm is preserved in vitro.

摘要：【中文】本发明属于应用流量识别技术领域，具体涉及一种基于消息大小分析的应用流量识别方法。本发明具体操作为从局域网络环境中选取适当长度的数据流，截取长度为m比特大小的流，提取流中完整的消息；将消息进行嵌入处理，通过将消息的每一字节嵌入到向量中的数据预处理，使用卷积神经网络提取数据流中的消息的特征；生成消息大小特征，对第三个卷积神经网络层的输出做平坦化处理；通过使用LSTM来编码特征矢量V_i来获取流中消息的上下文信息；引入注意机制，将每个流中重要的消息大小特征加权表示，突出比较明显且重要的特征；应用流量识别，通过给定的矢量f，训练出一个二进制分类器来进行应用流量识别。 【EN】The invention belongs to the technical field of application traffic identification, and particularly relates to an application traffic identification method based on message size analysis. The invention is characterized in that the method selects data flow with proper length from local network environment, intercepts flow with length of m bits, and extracts complete information in the flow; embedding the message, and extracting the characteristics of the message in the data stream by using a convolutional neural network through data preprocessing of embedding each byte of the message into a vector; generating message size characteristics, and flattening the output of the third convolutional neural network layer; encoding feature vector V by using LSTM_iTo obtain context information of messages in the stream; an attention mechanism is introduced, important message size characteristics in each stream are represented in a weighted mode, and more obvious and important characteristics are highlighted; the application of the traffic identification is carried out,and training a binary classifier through a given vector f to perform application flow identification.