摘要：【中文】一种脑磁检测装置，其包括：头部支架，其被构造为适于被固定地佩戴于头部，并且具有安装孔；原子磁强计，用于获得与脑磁有关的信息，所述原子磁强计包括壳体，且原子磁强计在插入方向上插入到头部支架的安装孔中相对于头部支架的第一插入深度；以及位置调整机构，所述位置调整机构被构造成将原子磁强计调整到相对于头部支架的第二插入深度。该脑磁检测装置可以适于佩戴在不同的人的头部，同时能够保证原子磁强计相对于头部的位置的稳定。该脑磁检测装置的成本低，使用方便。 【EN】A magnetoencephalography detection device, comprising: a head mount configured to be fixedly worn on a head and having a mounting hole; an atomic magnetometer to obtain information related to brain magnetism, the atomic magnetometer including a housing, and the atomic magnetometer being inserted into a mounting hole of a head mount in an insertion direction at a first insertion depth relative to the head mount; and a position adjustment mechanism configured to adjust the atomic magnetometer to a second insertion depth relative to the head support. The magnetoencephalography detection device can be suitable for being worn on the heads of different people, and meanwhile, the stability of the atomic magnetometer relative to the position of the head can be guaranteed. The magnetoencephalography detection device is low in cost and convenient to use.

摘要：【中文】本发明公开了一种基于机器学习的局地降雨雨型分析方法，包括以下步骤：1）数据的收集、处理与保存；2）降雨事件的自动提取；3）生成局地降雨样本集合；4）基于GPU加速的降雨事件聚类分析；5）对生成的聚类树进行分析获得代表性雨型。本发明通过采集流域站点观测数据，自动提取降雨事件，进而采用机器学习方法分析最具代表性的降雨过程作为局地降雨代表性雨型，能够极大的节省人为分析的工作量，避免了主观判断带来的差异，同时分析结果更加具有区域的针对性，可以为山洪临界雨量的分析以及城市内涝数值模拟提供有力支撑。 【EN】The invention discloses a local rainfall type analysis method based on machine learning, which comprises the following steps: 1) collecting, processing and storing data; 2) automatic extraction of rainfall events; 3) generating a local rainfall sample set; 4) performing cluster analysis on rainfall events based on GPU acceleration; 5) and analyzing the generated clustering tree to obtain a representative rain pattern. According to the rainfall event analysis method, the rainfall events are automatically extracted by collecting the station observation data of the drainage basin, and then the most representative rainfall process is analyzed by adopting a machine learning method to serve as the representative rainfall type of local rainfall, so that the workload of artificial analysis can be greatly saved, the difference caused by subjective judgment is avoided, meanwhile, the analysis result has regional pertinence, and powerful support can be provided for analysis of critical rainfall of mountain torrents and numerical simulation of urban inland inundation.

摘要：【中文】本发明提供一种半导体开关器件及其制作方法，包括：P型基底、N型漂移区、P型阱区、栅极结构、N型漏区、N型源区、介质层及漏区电极，所述N型漏区形成于所述第一栅单元及所述第二栅单元外侧的所述N型漂移区中，所述N型源区形成于所述第一栅单元及所述第二栅单元之间的所述P型阱区中。本发明在的MOS器件的电流路径为N型漏区‑N型漂移区‑P型阱区‑N型漂移区‑N型漏区，电流路径中只有NPN结构，避免了原有MOS器件中PNPN结构，可以有效避免Latchup（闩锁效应）发生，同时，本发明可以有效降低器件的导通电阻，提高器件的驱动电流。 【EN】The invention provides a semiconductor switch device and a manufacturing method thereof, comprising the following steps: the gate structure comprises a P-type substrate, an N-type drift region, a P-type well region, a gate structure, an N-type drain region, an N-type source region, a dielectric layer and a drain region electrode, wherein the N-type drain region is formed in the N-type drift region on the outer side of the first gate unit and the second gate unit, and the N-type source region is formed in the P-type well region between the first gate unit and the second gate unit. The MOS device has the advantages that the current path of the MOS device is the N-type drain region-the N-type drift region-the P-type well region-the N-type drift region-the N-type drain region, only the NPN structure is arranged in the current path, the PNPN structure in the original MOS device is avoided, the latch up (latch up) can be effectively avoided, meanwhile, the on-resistance of the device can be effectively reduced, and the driving current of the device is improved.

摘要：【中文】本发明公开了一种基于机器学习的流域洪水响应相似性分析方法，包括以下步骤：1）数据的收集、处理与保存；2）降雨场次自动划分；3）洪水场次自动划分；4）降雨洪水事件匹配关联；5）生成降雨洪水事件样本集合；6）生成降雨事件相似性矩阵；7）基于降雨相似性矩阵搜索洪水事件并分析相似性；8）流域洪水响应相似性评价。本发明区别于以往利用单一指数或模型参数对水文相似进行判断，能够充分利用降雨、径流数据所包含的信息，对洪水响应的相似性判断有更强的针对性。 【EN】The invention discloses a watershed flood response similarity analysis method based on machine learning, which comprises the following steps of: 1) collecting, processing and storing data; 2) automatically dividing rainfall fields; 3) automatically dividing flood fields; 4) matching and associating rainfall flood events; 5) generating a rainfall flood event sample set; 6) generating a rainfall event similarity matrix; 7) searching flood events based on the rainfall similarity matrix and analyzing the similarity; 8) and (4) evaluating the basin flood response similarity. The method is different from the conventional method for judging the hydrologic similarity by using a single index or a model parameter, can fully utilize information contained in rainfall and runoff data, and has stronger pertinence to the judgment of the similarity of flood response.

摘要：【中文】本发明公开了一种基于机器学习的适用于径流资料缺乏流域的洪水预报方法，包括以下步骤：1）样本流域特征提取与参数化；2）流域洪水响应特性分析；3）生成流域特征样本集合；4）基于流域特征样本集合生成分类树；5）基于树节点生成训练数据集；6）基于分类树与数据驱动模型的洪水预报；7）对分类树及训练集的更新。利用机器学习算法分析流域的洪水响应特性，基于流域特征与洪水响应特性，建立流域间的关联关系，本发明基于流域特征和洪水响应相似性生成样本数据集，进而依据样本数据集训练数据驱动模型，模拟中小河流降雨、洪水响应关系，从而实现中小河流洪水实时预报。本发明所提供的方法可实现将数据驱动模型应用于径流资料缺乏流域的洪水预报中，改变以往参数移植的方式对于模型结构和模型参数的依赖性，从而提高洪水预报的精度。 【EN】The invention discloses a flood forecasting method suitable for runoff data lack watershed based on machine learning, which comprises the following steps: 1) extracting and parameterizing sample watershed features; 2) analyzing the response characteristics of the flood in the drainage basin; 3) generating a watershed feature sample set; 4) generating a classification tree based on the watershed feature sample set; 5) generating a training data set based on the tree nodes; 6) flood forecasting based on the classification tree and the data-driven model; 7) and updating the classification tree and the training set. The method comprises the steps of analyzing flood response characteristics of the river basin by using a machine learning algorithm, and establishing an incidence relation between the river basins based on river basin characteristics and the flood response characteristics. The method provided by the invention can realize the application of the data-driven model to the flood forecast of runoff data lacking watershed, and change the dependency of the traditional parameter transplantation mode on the model structure and the model parameters, thereby improving the accuracy of the flood forecast.

摘要：【中文】本发明公开了一种数据处理方法、装置、设备和介质。该方法包括：接收第一请求数据的请求信息，第一请求数据存储于原始数据库；基于第一请求数据的评价因子，判断是否将第一请求数据缓存至缓存数据库，评价因子用于表征请求数据的缓存价值，请求数据包括第一请求数据；若第一请求数据的评价因子表征的缓存价值高于预设的缓存价值阈值，将第一请求数据缓存至缓存数据库。根据本发明实施例提供的数据处理方法、装置、设备和介质，可以提高缓存数据库的利用价值。 【EN】The invention discloses a data processing method, a data processing device, data processing equipment and a data processing medium. The method comprises the following steps: receiving request information of first request data, wherein the first request data are stored in an original database; judging whether the first request data is cached in a cache database or not based on an evaluation factor of the first request data, wherein the evaluation factor is used for representing the cache value of the request data, and the request data comprises the first request data; and if the cache value represented by the evaluation factor of the first request data is higher than a preset cache value threshold value, caching the first request data into a cache database. According to the data processing method, the data processing device, the data processing equipment and the data processing medium, the utilization value of the cache database can be improved.

摘要：【中文】本申请公开了一种广告投放控制方法、装置、电子设备及存储介质。其中方法包括：响应于对目标广告的负反馈指令，获取用户节点的节点标识以及所述目标广告的标识和标签；根据所述目标广告的标识和标签获取所述目标广告对应的广告数据，生成所述用户节点的负反馈信息，所述用户节点的负反馈信息包含所述节点标识、所述目标广告的标识和标签以及所述目标广告对应的广告数据；生成目标区块以记录所述负反馈信息，在数据共享系统中存储所述目标区块，通过区块链技术存储用户对某些广告不感兴趣的负反馈信息，减少在用户本地存储反馈信息的内存占用和易丢失的问题，广告投放系统可以更及时地获得准确、可靠的负反馈信息，降低投放处理时长。 【EN】The application discloses an advertisement putting control method and device, electronic equipment and a storage medium. The method comprises the following steps: responding to a negative feedback instruction of a target advertisement, and acquiring a node identifier of a user node and an identifier and a label of the target advertisement; acquiring advertisement data corresponding to the target advertisement according to the identification and the label of the target advertisement, and generating negative feedback information of the user node, wherein the negative feedback information of the user node comprises the node identification, the identification and the label of the target advertisement and the advertisement data corresponding to the target advertisement; the target block is generated to record the negative feedback information, the target block is stored in the data sharing system, the negative feedback information which is not interested by the user in some advertisements is stored through the block chain technology, the problems that the memory for storing the feedback information locally of the user occupies and is easy to lose are solved, the advertisement delivery system can obtain accurate and reliable negative feedback information more timely, and the delivery processing time is shortened.

摘要：【中文】本发明提供一种工艺控制方法、装置、系统及存储介质，该方法，包括：获取传感器的原始数据；对所述原始数据进行特征提取，得到特征数据；对所述特征数据和检测设备的量测数据进行相关性分析，得到目标数据；将所述目标数据输入错误检测及分类FDC系统，以使得通过所述FDC系统输出控制策略；根据所述控制策略，进行机台的工艺控制。本发明可以通过对传感器原始数据的特征提取，得到特征数据，并利用特征数据与量测数据之间的相关性，筛选出对量测数据有显著影响的数据，将这些数据作为FDC系统的输入，自动生成控制策略，从而可以有效提高传感器数据的处理效率，实现对半导体工艺的在线流程控制。 【EN】The invention provides a process control method, a device, a system and a storage medium, wherein the method comprises the following steps: acquiring raw data of a sensor; extracting the characteristics of the original data to obtain characteristic data; performing correlation analysis on the characteristic data and the measurement data of the detection equipment to obtain target data; inputting the target data into an error detection and classification (FDC) system such that a control strategy is output by the FDC system; and carrying out process control on the machine according to the control strategy. The invention can obtain the characteristic data by extracting the characteristics of the original data of the sensor, screens out the data which has obvious influence on the measured data by utilizing the correlation between the characteristic data and the measured data, and automatically generates the control strategy by taking the data as the input of the FDC system, thereby effectively improving the processing efficiency of the sensor data and realizing the on-line flow control of the semiconductor process.

摘要：【中文】本申请公开了一种广告频次控制方法、装置、电子设备及存储介质。其中方法包括：获取广告曝光信息，所述广告曝光信息包括目标广告的广告标识、广告位和曝光时间；确定所述广告曝光信息的来源程序是否为认证应用程序；若不是，获取所述曝光时间内产生的广告记录数据，确定所述广告记录数据中所述广告位的展示广告是否为所述目标广告；若是，确定所述广告曝光信息有效，生成目标区块以记录所述广告曝光信息和对应的用户节点标识，在数据共享系统中存储所述目标区块，在终端上报广告曝光信息时验证有效性，并通过区块链技术存储下来，广告投放系统可以更及时地获得真实可靠的广告曝光信息，降低虚假曝光，从而在后续投放中实现更准确的频次控制。 【EN】The application discloses an advertisement frequency control method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring advertisement exposure information, wherein the advertisement exposure information comprises an advertisement identifier, an advertisement position and exposure time of a target advertisement; determining whether a source program of the advertisement exposure information is an authentication application program; if not, acquiring advertisement record data generated in the exposure time, and determining whether the displayed advertisement of the advertisement space in the advertisement record data is the target advertisement; if yes, determining that the advertisement exposure information is valid, generating a target block to record the advertisement exposure information and a corresponding user node identifier, storing the target block in a data sharing system, verifying the validity when the terminal reports the advertisement exposure information, and storing the advertisement exposure information through a block chain technology.

摘要：【中文】本申请公开了一种广告频次控制方法及系统。其中方法包括：用户节点获取生成的广告曝光信息，包括目标广告的投放来源节点和广告主节点；获取投放来源节点用于曝光验证的第一密钥；获取广告主节点用于曝光验证的第二密钥；使用第一密钥和第二密钥分别解析目标广告的数字签名，以确定目标广告是否与投放来源节点和广告主节点匹配；若匹配，生成目标区块以记录广告曝光信息以及对应的用户节点标识，在数据共享系统中存储；各个投放节点从目标区块中获取广告曝光信息用于目标广告的曝光频次统计，通过区块链技术存储广告曝光信息，减少虚假曝光，使跨平台的多个投放节点及时地获得目标广告的曝光情况，联合实现更全面的广告频次控制。 【EN】The application discloses an advertisement frequency control method and system. The method comprises the following steps: the user node acquires the generated advertisement exposure information, including a target advertisement delivery source node and an advertisement main node; acquiring a first key used for exposure verification of a release source node; acquiring a second key used for exposure verification by the advertisement main node; respectively analyzing the digital signature of the target advertisement by using the first key and the second key to determine whether the target advertisement is matched with the delivery source node and the advertisement main node; if the advertisement exposure information is matched with the user node identifier, generating a target block to record the advertisement exposure information and the corresponding user node identifier, and storing the target block in the data sharing system; each releasing node acquires advertisement exposure information from the target block for exposure frequency statistics of the target advertisement, and stores the advertisement exposure information through a block chain technology, so that false exposure is reduced, a plurality of releasing nodes across platforms can acquire the exposure condition of the target advertisement in time, and more comprehensive advertisement frequency control is jointly realized.