摘要：【中文】本说明书实施例提供一种用于匹配私有数据的匹配模式自动生成方法、装置及设备，在自动生成方法中，确定当前样本分组对应的匹配模式模板。将匹配模式模板中的当前占位符对应的数据位作为当前数据位。基于当前样本分组内的各个样本数据对应于当前数据位的多个字符各自出现的概率，计算当前数据位对应的信息熵。基于信息熵，判断是否需要对当前样本分组进行分裂。若否，则基于多个字符，生成对应于当前数据位的子匹配模式。将当前占位符替换为子匹配模式，得到更新的匹配模式模板。若更新的匹配模式模板不包括占位符，则将其作为第一数据类型对应的最终匹配模式添加到匹配模式列表中。本说明书实施例得到的匹配模式可以用于私有数据的分类模型构建。 【EN】The embodiment of the specification provides an automatic generation method, device and equipment for a matching pattern used for matching private data. And taking the data bit corresponding to the current placeholder in the matching pattern template as the current data bit. And calculating the information entropy corresponding to the current data bit based on the probability that each character corresponding to the current data bit of each sample data in the current sample group appears. And judging whether the current sample group needs to be split or not based on the information entropy. If not, a sub-match pattern corresponding to the current data bit is generated based on the plurality of characters. And replacing the current placeholder with the sub-matching pattern to obtain an updated matching pattern template. And if the updated matching pattern template does not comprise the placeholder, adding the updated matching pattern template into the matching pattern list as a final matching pattern corresponding to the first data type. The matching mode obtained by the embodiment of the specification can be used for constructing the classification model of the private data.

摘要：【中文】本说明书公开了一种隐私数据的处理方法及装置，所述方法包括：对正则表达式进行价值评估计算，以得到所述正则表达式的价值评分；其中，所述正则表达式用于从隐私数据中提取正则特征；所述正则表达式的价值评分，与所述正则表达式包含的信息量正相关；将所述正则表达式与隐私数据集合中的隐私数据进行匹配，并获取所述正则表达式与所述隐私数据集合中的隐私数据匹配成功的次数；根据所述正则表达式的价值评分和所述匹配成功的次数，计算与所述隐私数据集合中的隐私数据对应的正则特征；其中，所述正则特征用于训练机器学习模型。应用本方案，可以令构建得到的正则特征能够更好地刻画隐私数据的特性。 【EN】The specification discloses a method and a device for processing private data, wherein the method comprises the following steps: carrying out value evaluation calculation on the regular expression to obtain a value score of the regular expression; the regular expression is used for extracting regular features from privacy data; the value score of the regular expression is positively correlated with the information content contained in the regular expression; matching the regular expression with the private data in a private data set, and acquiring the number of times that the regular expression is successfully matched with the private data in the private data set; calculating regular features corresponding to the privacy data in the privacy data set according to the value scores of the regular expressions and the times of successful matching; wherein the canonical features are used to train a machine learning model. By applying the scheme, the constructed regular features can better depict the characteristics of the private data.

摘要：【中文】本发明公开了一种适用于AGV的精确移载控制方法，具有输送机构的AGV搬运车上设置图像获取单元，在目标位置设置二维码，通过图像获取单元读取二维码的三维数据，通过三维数据计算出输送机构与对接输送点的偏差量，作为输送机构的横向位移量，本发明实现了无人搬运车的精确输送。 【EN】The invention discloses an accurate transfer control method suitable for an AGV, wherein an image acquisition unit is arranged on the AGV with a conveying mechanism, a two-dimensional code is arranged at a target position, three-dimensional data of the two-dimensional code is read through the image acquisition unit, and deviation between the conveying mechanism and a butt joint conveying point is calculated through the three-dimensional data and is used as the transverse displacement of the conveying mechanism.

摘要：【中文】本发明提供一种无线通信的方法和装置，该方法在包括至少两个网络设备的通信系统中执行，该方法包括：第一网络设备接收第一参数集合的指示信息，该第一参数集合至少包括该MAC层的参数，该MAC层的参数至少包括混合自动重传请求进程标识HARQ process ID；该第一网络设备接收第一数据包；该第一网络设备根据该第一参数集合，通过该第一协议层集合，对该第一数据包进行处理以生成第二数据包，该第二数据包的HARQ process ID与第二网络设备生成的第三数据包的HARQ process ID相同或不同；该第一网络设备向终端设备发送该第二数据包。从而，能够提高无线通信的可靠性和准确性。 【EN】The invention provides a method and a device for wireless communication, wherein the method is executed in a communication system comprising at least two network devices, and the method comprises the following steps: the first network equipment receives indication information of a first parameter set, wherein the first parameter set at least comprises parameters of the MAC layer, and the parameters of the MAC layer at least comprise hybrid automatic repeat request process identification (HARQ) process ID; the first network equipment receives a first data packet; the first network device processes the first data packet through the first protocol layer set according to the first parameter set to generate a second data packet, wherein the HARQ process ID of the second data packet is the same as or different from the HARQ process ID of a third data packet generated by the second network device; and the first network equipment sends the second data packet to the terminal equipment. Thus, reliability and accuracy of wireless communication can be improved.

摘要：【中文】本说明书实施例提供一种密钥检测方法、装置及电子设备。所述方法包括：根据预定的提取规则从文本中提取出一个或多个目标字符串，所述预定的提取规则为根据预定的密钥类型所生成的规则；对所述目标字符串执行检测操作，以便从所述目标字符串中筛选出待确定密钥所对应的字符串；利用预定的搜索方式对文本进行搜索，得到待确定账户标识所对应的字符串；获取与所述待确定密钥以及待确定账户标识分别对应的一个或多个特征数据，并根据所述特征数据将所述待确定密钥与待确定账户标识进行匹配，得到所述待确定密钥的匹配分值，基于所述匹配分值确定与所述密钥类型相对应的密钥，从而实现了密钥的检测。 【EN】The embodiment of the specification provides a key detection method, a key detection device and electronic equipment. The method comprises the following steps: extracting one or more target character strings from the text according to a preset extraction rule, wherein the preset extraction rule is a rule generated according to a preset key type; performing detection operation on the target character string so as to screen out a character string corresponding to a key to be determined from the target character string; searching the text by using a preset searching mode to obtain a character string corresponding to the account identifier to be determined; one or more feature data corresponding to the key to be determined and the account identification to be determined are obtained, the key to be determined is matched with the account identification to be determined according to the feature data to obtain a matching score of the key to be determined, and the key corresponding to the type of the key is determined based on the matching score, so that the detection of the key is realized.

摘要：【中文】本申请涉及语音搜索技术领域，尤其涉及一种语音搜索方法，包括：响应于获取到的目标语音，确定所述目标语音对应的语音识别文本；基于所述语音识别文本对应的语言种类，对所述语音识别文本进行处理；基于处理后的语音识别文本与数据库中的候选搜索结果之间的匹配度，确定所述目标语音对应的搜索结果。采用上述方案，基于语音种类进行语音识别文本的处理提高了目标语音识别的包容度，基于匹配度确定搜索结果又进一步提升了目标语音搜索的准确度，从而提升了用户的使用体验。本申请还提供了一种语音搜索装置、电子设备及存储介质。 【EN】The application relates to the technical field of voice search, in particular to a voice search method, which comprises the following steps: responding to the acquired target voice, and determining a voice recognition text corresponding to the target voice; processing the voice recognition text based on the language type corresponding to the voice recognition text; and determining a search result corresponding to the target voice based on the matching degree between the processed voice recognition text and the candidate search result in the database. By adopting the scheme, the target voice recognition content is improved by processing the voice recognition text based on the voice type, the accuracy of the target voice search is further improved by determining the search result based on the matching degree, and therefore the use experience of a user is improved. The application also provides a voice searching device, electronic equipment and a storage medium.

摘要：【中文】本申请实施例公开了一种物料呆滞统计方法、装置、存储介质及终端设备，方法包括：获取在企业资源计划ERP系统中输入的目标物料标识；在物料清单中查找与所述目标物料标识相关联的物料集合；输出所述物料集合中各物料分别对应的属性条目，所述属性条目包括物料呆滞信息。因此，采用本申请实施例，只需要输入待查询的物料标识就可自动生成各物料新供应、需求情况等物料呆滞明细，统计效率高且准确可靠，不需要反复调整运营计划，可以降低呆滞物料造成的损失。 【EN】The embodiment of the application discloses a method and a device for counting material stagnation, a storage medium and a terminal device, wherein the method comprises the following steps: acquiring a target material identifier input in an Enterprise Resource Planning (ERP) system; searching a material set associated with the target material identification in a material list; and outputting attribute items corresponding to the materials in the material set, wherein the attribute items comprise material stagnation information. Therefore, by adopting the embodiment of the application, the dull materials such as new supply and demand conditions of each material can be automatically generated only by inputting the material identification to be inquired, the statistical efficiency is high, accuracy and reliability are realized, the operation plan does not need to be adjusted repeatedly, and the loss caused by the dull materials can be reduced.

摘要：【中文】本说明书实施例公开了一种机器学习、隐私代码确定方法、装置及电子设备，其中，所述机器学习方法可以获取批量包含正、负样本的样本数据，正样本数据中包含隐私代码文件，负样本数据中不包含隐私代码文件；基于代码文件的相似性度量参数，从所述样本数据中筛选出多个第一代码文件，并从代码文件的隐私标签已知的预设代码库中筛选出多个第二代码文件；基于所述多个第一代码文件和所述多个第二代码文件，确定所述样本数据对应的目标参数；将所述样本数据对应的目标参数及所述样本数据的标签作为输入，训练目标模型，所述目标模型用于确定待检测的一批代码文件与隐私代码文件的相似性度量参数。 【EN】The embodiment of the specification discloses a machine learning and privacy code determining method, a device and electronic equipment, wherein the machine learning method can acquire sample data containing positive and negative samples in batches, the positive sample data contains a privacy code file, and the negative sample data does not contain the privacy code file; screening a plurality of first code files from the sample data based on similarity measurement parameters of the code files, and screening a plurality of second code files from a preset code library of which privacy tags of the code files are known; determining target parameters corresponding to the sample data based on the plurality of first code files and the plurality of second code files; and taking the target parameters corresponding to the sample data and the label of the sample data as input, and training a target model, wherein the target model is used for determining similarity measurement parameters of a batch of code files to be detected and privacy code files.

摘要：【中文】本申请公开了一种包含隐私数据的网络数据的处理方法及装置，所述方法包括：对网络数据集中的网络数据进行结构化解析，生成指示所述网络数据的数据结构的树状结构图；其中，所述网络数据集包括多个数据子集；各数据子集中的网络数据包含的隐私数据的数据类型不同；确定各数据子集中的网络数据包含的隐私数据，在所述网络数据的树状结构图中的存储路径，并确定各数据子集中的网络数据包含的隐私数据在所述存储路径中的上下文字段；提取所述上下文字段的字段取值对应的语义信息；将提取出的所述语义信息作为样本特征构建训练样本，并基于所述训练样本训练用于识别网络数据集中的网络数据包含的隐私数据的类型的机器学习模型。 【EN】The application discloses a method and a device for processing network data containing private data, wherein the method comprises the following steps: carrying out structural analysis on network data in a network data set to generate a tree structure chart indicating a data structure of the network data; wherein the network data set comprises a plurality of data subsets; the data types of the privacy data contained in the network data in each data subset are different; determining privacy data contained in the network data in each data subset, a storage path in a tree structure diagram of the network data, and determining a context field of the privacy data contained in the network data in each data subset in the storage path; extracting semantic information corresponding to field values of the context fields; and constructing a training sample by taking the extracted semantic information as a sample feature, and training a machine learning model for identifying the type of private data contained in the network data set based on the training sample.

摘要：【中文】本申请涉及语音搜索技术领域，尤其涉及一种语音搜索方法，包括：获取参考文本集；针对参考文本集中的每个参考文本，基于该参考文本对应的语言种类，对参考文本进行处理，得到候选搜索文本库；在确定目标语音对应的语音识别文本后，从所有候选搜索文本库中查找与该语音识别文本对应的语言种类匹配的候选搜索文本库，并根据查找到的候选搜索文本库确定与目标语音对应的参考文本。采用上述方法，基于语言种类进行语音识别文本的处理提高了目标语音识别的包容度，基于匹配度确定搜索结果又进一步提升了目标语音搜索的准确度，从而提升了用户的使用体验。本申请还提供了一种语音搜索装置、电子设备及存储介质。 【EN】The application relates to the technical field of voice search, in particular to a voice search method, which comprises the following steps: acquiring a reference text set; processing the reference text based on the language type corresponding to the reference text to obtain a candidate search text library aiming at each reference text in the reference text set; after the voice recognition text corresponding to the target voice is determined, searching a candidate search text library matched with the language type corresponding to the voice recognition text from all candidate search text libraries, and determining a reference text corresponding to the target voice according to the searched candidate search text library. By adopting the method, the target voice recognition inclusion degree is improved by processing the voice recognition text based on the language type, the accuracy of the target voice search is further improved by determining the search result based on the matching degree, and therefore the use experience of a user is improved. The application also provides a voice searching device, electronic equipment and a storage medium.