摘要：【中文】本公开提供了一种会议系统终端、音频数据处理方法和远程会议系统。该会议系统终端包括接收模块、数据处理模块和发送模块。该接收模块用于通过WiFi方式从至少一个麦克风接收音频数据。该数据处理模块用于对该音频数据进行数据处理。该发送模块用于将经过数据处理之后的音频数据发送到服务器。本公开不需要由硬件接收控制器来接收来自于麦克风的声音，因此使用更加方便，而且降低成本。 【EN】The disclosure provides a conference system terminal, an audio data processing method and a teleconference system. The conference system terminal comprises a receiving module, a data processing module and a sending module. The receiving module is used for receiving audio data from at least one microphone in a WiFi mode. The data processing module is used for carrying out data processing on the audio data. The sending module is used for sending the audio data after data processing to the server. The present disclosure does not require a hardware receiving controller to receive sound from the microphone, thus being more convenient to use and reducing costs.

摘要：【中文】本发明公开了一种利用变速箱箱体的内螺纹底孔进行定位的方法，步骤包括：1)将变速箱箱体放置于加工平台上；2)对变速箱箱体底面进行铣削；3)在变速箱箱体底面钻若干个内螺纹底孔，并对内螺纹底孔进行精加工；4)将变速箱箱体放置于定位工装上夹紧；5)对变速箱箱体的Z轴方向的两侧进行加工；本发明通过将内螺纹底孔所在平面进行铣削提高平面精度，将变速箱箱体的内螺纹底孔进行精加工，将内螺纹底孔位置精度和尺寸精度提高，用作下一道工序的定位孔，不用单独增加工艺销孔，有效减少加工工序，减少加工次数，从而提高了加工效率。 【EN】The invention discloses a method for positioning by using an internal thread bottom hole of a gearbox body, which comprises the following steps: 1) placing a gearbox body on a processing platform; 2) milling the bottom surface of the gearbox body; 3) drilling a plurality of internal thread bottom holes on the bottom surface of the gearbox body, and performing finish machining on the internal thread bottom holes; 4) placing the gearbox body on a positioning tool to clamp; 5) processing two sides of the gearbox body in the Z-axis direction; according to the invention, the plane where the internal thread bottom hole is located is milled to improve the plane precision, the internal thread bottom hole of the gearbox body is finely processed, the position precision and the size precision of the internal thread bottom hole are improved, the internal thread bottom hole is used as a positioning hole in the next procedure, a process pin hole is not required to be added independently, the processing procedures are effectively reduced, the processing times are reduced, and the processing efficiency is improved.

摘要：【中文】本发明提供一种基于神经网络的海量流量数据类型的检测方法，涉及信息处理技术领域。该方法首先对原始流量进行流量类型标注，作为原始训练数据集，并对其以会话为单位进行切割，每个会话单独组成流量数据包序列，并在长度上加以处理，得到若干条等长数据包，将该数据包数据进行图形化操作，并按照时间顺序堆叠成流量图像三维数据；然后将预处理好的流量图像三维数据送入以3D卷积神经网络为基础的流量分类模型中，训练保存该模型，并检测模型准确性。将待分类的流量数据进行相同预处理操作，送入训练好的模型，得到分类结果。本发明提供的检测海量流量数据类型的方法，能够在接受海量流量数据的同时，快速准确的对流量数据类型做出分类。 【EN】The invention provides a method for detecting mass flow data types based on a neural network, and relates to the technical field of information processing. The method comprises the steps of firstly, carrying out flow type marking on original flow to serve as an original training data set, cutting the original training data set by taking a conversation as a unit, independently forming a flow data packet sequence by each conversation, processing the flow data packet sequence in length to obtain a plurality of equal-length data packets, carrying out graphical operation on the data packet data, and stacking the data packet data into flow image three-dimensional data according to a time sequence; and then sending the preprocessed flow image three-dimensional data into a flow classification model based on a 3D convolutional neural network, training and storing the model, and detecting the accuracy of the model. And carrying out the same preprocessing operation on the flow data to be classified, and sending the flow data to the trained model to obtain a classification result. The method for detecting the type of the mass flow data can receive the mass flow data and can quickly and accurately classify the type of the mass flow data.

摘要：【中文】本发明提供一种基于渐进式生成对抗网络的视频摘要方法，涉及信息处理技术领域。该方法首先按照一定帧率将视频切分成图片的集合，将视频数据转化为图片数据；然后建立渐进式生成对抗网络模型，逐渐增加模型的网络层，从低分辨率训练到高分辨率，提取关键帧；同时，选择精度模式或者收敛模式，以决定模型以何种方式在某一分辨率上停止训练；最终，给出视频所有帧的标签，以标记出视频关键帧所在；利用该标签可提取关键帧，合成摘要短视频。本发明提供的视频摘要方法，采用一种无监督训练方式，不需要对视频做出关键帧的人工标记，同时渐进式的训练，可充分利用局部信息，降低了训练的复杂性，增加了训练结果的稳定性。 【EN】The invention provides a video abstraction method based on a progressive generation countermeasure network, and relates to the technical field of information processing. Firstly, cutting a video into a set of pictures according to a certain frame rate, and converting video data into picture data; then establishing a progressive generation confrontation network model, gradually increasing the network layer of the model, training from low resolution to high resolution, and extracting key frames; meanwhile, selecting a precision mode or a convergence mode to determine the mode of the model to stop training at a certain resolution; finally, labels of all frames of the video are given to mark the positions of the video key frames; the key frames can be extracted by utilizing the label to synthesize the abstract short video. The video abstraction method provided by the invention adopts an unsupervised training mode, does not need to manually mark key frames for videos, and can fully utilize local information by progressive training, thereby reducing the training complexity and improving the stability of training results.

摘要：【中文】本发明提供一种基于向量化的恶意流量攻击类型的判断方法，涉及信息处理技术领域。该方法首先把原始流量数据以会话为单位进行长度统一，然后送入自动编码机模型提取大小一致长度适中的会话数据，将处理后的会话数据转化为图像集合，送入卷积神经网络训练得到向量，并与对应统计特征提取的向量进行拼接，得到新的流量向量集合，并放到临时数据库中；对临时数据库中的向量以余弦距离为依据进行聚类，找出聚类中心的向量，构建行为向量库；预处理后的待检测流量向量与行为向量库中向量以余弦距离为依据进行相似度检测，获得待检测流量的流量类型。本发明方法通过向量距离的计算，提高了检测的效率，有效的降低了相似的恶意流量特征的误判程度。 【EN】The invention provides a vectorization-based method for judging malicious traffic attack types, and relates to the technical field of information processing. Firstly, unifying the length of original flow data by taking a conversation as a unit, then sending the original flow data into an automatic coding machine model to extract conversation data with consistent size and moderate length, converting the processed conversation data into an image set, sending the image set into a convolutional neural network to train to obtain a vector, splicing the vector with the vector extracted by corresponding statistical characteristics to obtain a new flow vector set, and putting the new flow vector set into a temporary database; clustering vectors in the temporary database by taking cosine distance as a basis, finding out a vector of a clustering center, and constructing a behavior vector library; and performing similarity detection on the preprocessed flow vector to be detected and the vector in the behavior vector library by taking the cosine distance as a basis to obtain the flow type of the flow to be detected. The method improves the detection efficiency and effectively reduces the misjudgment degree of similar malicious flow characteristics by calculating the vector distance.

摘要：【中文】本公开关于一种数据处理方法、装置和电子设备，上述方法包括：若检测到数据缓存区存储有服务器主机写入的数据块，则对数据块进行第一异构加速处理；服务器主机用于接收客户端单次发送的待处理数据，将待处理数据分成至少两个数据块，分别将各个数据块写入到数据缓存区；统计数据缓存区中已完成第一异构加速处理的数据块的数量；若数据缓存区中已完成第一异构加速处理的数据块的数量达到待处理数据所分成的数据块的数量，则对各个数据块对应的处理结果进行第二异构加速处理，得到待处理数据的目标处理结果。采用该方法可以解决相关技术中服务器的数据处理效率较低的问题，从而提高了服务器的数据处理效率。 【EN】The present disclosure relates to a data processing method, an apparatus and an electronic device, wherein the method comprises: if the data cache region is detected to store the data block written by the server host, performing first heterogeneous accelerated processing on the data block; the server host is used for receiving data to be processed sent by the client at a single time, dividing the data to be processed into at least two data blocks and respectively writing each data block into a data cache region; counting the number of data blocks which are subjected to the first heterogeneous accelerated processing in the data cache region; and if the number of the data blocks which have finished the first heterogeneous accelerated processing in the data cache region reaches the number of the data blocks into which the data to be processed is divided, performing second heterogeneous accelerated processing on the processing result corresponding to each data block to obtain a target processing result of the data to be processed. By adopting the method, the problem of low data processing efficiency of the server in the related technology can be solved, so that the data processing efficiency of the server is improved.

摘要：【中文】本公开一种计算任务的处理方法、装置、系统、服务器和存储介质所述服务器中设置有多个输入缓存区，所述方法包括：基于客户端发送的数据处理请求，生成多个计算任务；确定各所述计算任务的输入缓存区，并将计算任务对应的任务数据分别输入所述输入缓存区中；在各所述输入缓存区中存在符合启动条件的输入缓存区的情况下，则启动执行符合启动条件的输入缓存区对应的计算任务；将执行完成的计算任务的计算结果返回至对应的客户端。本公开可以减少数据传输带来的消耗，稳定服务端吞吐容量只与从设备的硬件计算性能有关，提高了从设备硬件利用率。 【EN】The utility model discloses a processing method, device, system, server and storage medium of computing task, wherein the server is provided with a plurality of input buffer areas, the method comprises: generating a plurality of computing tasks based on a data processing request sent by a client; determining an input cache region of each computing task, and respectively inputting task data corresponding to the computing tasks into the input cache regions; under the condition that an input cache region meeting the starting condition exists in each input cache region, starting to execute a calculation task corresponding to the input cache region meeting the starting condition; and returning the calculation result of the executed calculation task to the corresponding client. The method and the device can reduce consumption caused by data transmission, stabilize the throughput capacity of the server and are only related to the hardware computing performance of the slave equipment, and improve the hardware utilization rate of the slave equipment.