当前查询到84条专利与查询词 "Xu Yuhui"相关,搜索用时1.7500392秒!排序方式:
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申请号:201811140004.4 公开号:CN110965868A 主分类号:E05B85/00
申请人:【中文】开开特股份公司【EN】KIEKERT AG 申请日:2018.09.28 公开日:2020.04.07
摘要:【中文】本发明的主题是一种汽车锁(1),其具有由转动卡爪和至少一个掣爪、锁壳(3)和至少局部封闭该锁壳(3)的锁盖(14)和至少一个可摆动安装在汽车锁(1)内的操作件(4、8)尤其是操作杆(4、8)构成的锁闭机构,其中,该操作件(4、8)具有延长部(5),该延长部(5)能至少在局部贴靠该锁壳(3)。 【EN】The invention relates to a motor vehicle lock (1) having a locking mechanism consisting of a rotary pawl and at least one pawl, a lock housing (3) and a lock cover (14) which at least partially closes the lock housing (3), and at least one actuating element (4, 8), in particular an actuating lever (4, 8), which is pivotably mounted in the motor vehicle lock (1), wherein the actuating element (4, 8) has an extension (5), wherein the extension (5) can be brought into contact at least partially with the lock housing (3).
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申请号:201911087722.4 公开号:CN110991464A 主分类号:G06K9/46
申请人:【中文】华南理工大学【EN】SOUTH CHINA UNIVERSITY OF TECHNOLOGY 申请日:2019.11.08 公开日:2020.04.10
摘要:【中文】本发明公开的一种基于深度多模态数据融合的商品点击率预测方法,包括以下步骤:获取商品点击率数据并进行预处理,得到预处理后的商品点击率数据;将预处理后的商品点击率数据进行特征提取,得到商品图片特征、商品文本特征、商品品牌特征;将提取的特征通过内部注意力机制得到加权的商品图片特征和加权的商文本特征,再通过图片和文本间注意力机制进行特征融合,得到商品特征;利用商品特征通过前馈神经网络进行商品点击率预测,得到商品预测结果;构建端到端模型,利用训练数据进行参数学习与更新;本发明很好地融合图片,文本以及品牌等多模态信息,形成有效的商品特征描述,可应用于商品点击率预测。 【EN】The invention discloses a commodity click rate prediction method based on deep multi-modal data fusion, which comprises the following steps of: obtaining commodity click rate data and preprocessing the commodity click rate data to obtain preprocessed commodity click rate data; performing feature extraction on the preprocessed commodity click rate data to obtain commodity picture features, commodity text features and commodity brand features; obtaining weighted commodity picture features and weighted quotient text features from the extracted features through an internal attention mechanism, and performing feature fusion through an attention mechanism between the picture and the text to obtain commodity features; predicting the commodity click rate by utilizing commodity characteristics through a feedforward neural network to obtain a commodity prediction result; constructing an end-to-end model, and learning and updating parameters by using training data; the method and the system well fuse multi-mode information such as pictures, texts, brands and the like to form effective commodity feature description, and can be applied to commodity click rate prediction.
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申请号:201911285494.1 公开号:CN111178552A 主分类号:G06Q10/00
摘要:【中文】本发明提供了一种车辆信息的处理方法及装置、存储介质和电子装置,其中,该方法包括:通过移动终端采集车辆的车主的图像信息和车主的语音信息;在数据库中查找与图像对应的车辆历史信息,以及对语音信息进行识别得到车辆的当前车况信息;其中,车辆历史信息包括车辆的历史维修保养信息和车辆的基础信息;根据车辆历史信息和当前车况信息在移动终端显示车辆的维修方案。通过本发明,解决了相关技术中需要人为对车辆信息进行了解后再进行确定维修或保养项目导致维修和保养效率低的问题。 【EN】The invention provides a vehicle information processing method and device, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring image information of an owner of a vehicle and voice information of the owner of the vehicle through a mobile terminal; searching vehicle historical information corresponding to the images in a database, and identifying the voice information to obtain the current vehicle condition information of the vehicle; the vehicle history information comprises historical maintenance information of the vehicle and basic information of the vehicle; and displaying the maintenance scheme of the vehicle on the mobile terminal according to the historical information and the current vehicle condition information of the vehicle. By the aid of the method and the device, the problem of low maintenance and repair efficiency caused by the fact that repair or maintenance items are determined after vehicle information needs to be known manually in the related art is solved.
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申请号:201911408379.9 公开号:CN111071827A 主分类号:B65H5/08
申请人:【中文】立高食品股份有限公司【EN】LIGAO FOOD Co.,Ltd. 申请日:2019.12.31 公开日:2020.04.28
摘要:【中文】本发明公开了一种用于糖果生产的转印纸更换装置,包括第一传送机构,第一传送机构设有入料端与出料端,以及于入料端与出料端之间依次间距设有拆盖工位、取出工位、上料工位、装盖工位、检测工位以及剔出工位;拆盖工位的上方设有拆盖机构,用于将糖果模具的模盖拆除;取出工位的上方设有取出机构,用以将已使用的转印纸取出;上料工位的上方设有上料机构,用以将新转印纸上料;装盖工位的上方设有装盖机构,用以将模盖安装至底模上;检测工位的上方设有检测摄像头,用以检测,剔出工位的上方设有剔出机构,用以将检测不合格的糖果模具剔出。本发明所述的用于糖果生产的转印纸更换装置及其更换方法提高了转印纸更换效率。 【EN】The invention discloses a transfer printing paper replacing device for candy production, which comprises a first conveying mechanism, wherein the first conveying mechanism is provided with a feeding end and a discharging end, and a cover removing station, a taking-out station, a feeding station, a cover installing station, a detecting station and a picking-out station are sequentially arranged between the feeding end and the discharging end at intervals; a cover removing mechanism is arranged above the cover removing station and used for removing the mold cover of the candy mold; a taking-out mechanism is arranged above the taking-out station and used for taking out the used transfer printing paper; a feeding mechanism is arranged above the feeding station and used for feeding the new transfer printing paper; a cover mounting mechanism is arranged above the cover mounting station and used for mounting the mold cover on the bottom mold; a detection camera is arranged above the detection station and used for detecting, and a rejecting mechanism is arranged above the rejecting station and used for rejecting unqualified candy molds. The transfer paper replacing device and the replacing method for candy production improve the replacing efficiency of the transfer paper.
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申请号:201911084911.6 公开号:CN110852604A 主分类号:G06Q10/06
申请人:【中文】湖南商学院【EN】Hunan University of Commerce 申请日:2019.11.08 公开日:2020.02.28
摘要:【中文】本发明公开了一种基于移动Agent的动态信任计算方法,用于动态地计算用户与商家之间的信任度。所述动态信任计算方法包括以下步骤:获取用户与选定商家的初始信任度;构建移动商务交易动态信任计算模型,以时间敏感函数为依据,通过所述移动商务交易动态信任计算模型计算该用户的当前信任度;通过预先设定的信任惩罚规则对当前信任度进行校正;以校正后的信任度更新该用户与选定商家的信任关系并保存。相较于现有技术,本发明提供的基于移动Agent的动态信任计算方法具有显著的优势,几乎接近无非诚实情形的理论最佳值。 【EN】The invention discloses a dynamic trust calculation method based on a mobile Agent, which is used for dynamically calculating the trust between a user and a merchant. The dynamic trust calculation method comprises the following steps: acquiring initial trust of a user and a selected merchant; constructing a mobile commerce transaction dynamic trust calculation model, and calculating the current trust degree of the user through the mobile commerce transaction dynamic trust calculation model by taking a time sensitive function as a basis; correcting the current trust degree through a preset trust punishment rule; and updating and storing the trust relationship between the user and the selected merchant according to the corrected trust degree. Compared with the prior art, the dynamic trust calculation method based on the mobile Agent has remarkable advantages and is almost close to the theoretical optimal value of the non-honest situation.
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申请号:201911329153.X 公开号:CN110876749A 主分类号:A61K31/4741
摘要:【中文】本发明公开了白屈菜红碱在抑制多重耐药粘质沙雷菌生长中的应用,根据白屈菜红碱对多重耐药粘质沙雷菌具有较好的体外杀灭作用,能够抑制多重耐药粘质沙雷菌的生长,且最低杀菌浓度为30~250μg/mL,最小抑菌浓度为15~125μg/mL,本发明提出了白屈菜红碱对多重耐药粘质沙雷菌的抑制作用,在医药等领域具有广泛的应用价值。 【EN】The invention discloses an application of chelerythrine in inhibiting the growth of multiple drug-resistant serratia marcescens, and provides an inhibition effect of chelerythrine on multiple drug-resistant serratia marcescens according to the fact that the chelerythrine has a good in-vitro killing effect on the multiple drug-resistant serratia marcescens and can inhibit the growth of the multiple drug-resistant serratia marcescens, the minimum sterilization concentration is 30-250 mu g/mL, and the minimum inhibition concentration is 15-125 mu g/mL.
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申请号:201911139028.2 公开号:CN110896742A 主分类号:A01G2/30
摘要:【中文】本发明公开了一种红枫嫁接育苗方法,其特征在于,包括以下步骤:砧木的选择及预处理、砧木处理、接穗选择及处理、嫁接处理、嫁接后管理以及施肥养护,本发明红枫嫁接育苗10‑20天,平均成活率达到95%以上,周期短,成活率高又长势好,而且方法操作简单又方便,经济性较好且能够实现产业化嫁接育苗。 【EN】The invention discloses a red maple grafting seedling method which is characterized by comprising the following steps: the method comprises the steps of stock selection and pretreatment, stock treatment, scion selection and treatment, grafting treatment, post-grafting management, fertilization and maintenance, the red maple grafted seedlings are cultured for 10-20 days, the average survival rate reaches over 95%, the period is short, the survival rate is high, the growth vigor is good, the method is simple and convenient to operate, the economy is good, and the industrialized grafted seedlings can be realized.
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申请号:201911321861.9 公开号:CN110996068A 主分类号:H04N7/18
摘要:【中文】本发明提供了一种用于起重机吊具的自动跟踪系统,包括高清低照度透雾摄像机、激光阵列LED补偿灯、视频传输器/服务器、显示器和集中供电电源。其中,高清低照度透雾摄像机主要功能为画面成像、吊具位置检测识别、光学变焦锁定吊具。激光阵列LED补偿灯功能给摄像机灯光补偿,提高摄像机成像清晰度及吊具位置准确性。视频传输器功能为搭建稳定实时视频信号和数据回路,为服务器及摄像机提供MODBUS、RS485、CVBS等通讯接口。服务器功能为对视频信号、各传感器采集数据进行A/D、D/A转换,对各数据分析、比较后作出相应控制和调整。显示器功能为实时显示高清画面和吊具位置。集中供电电源功能给系统设备提供各种稳定电源。 【EN】The invention provides an automatic tracking system for a crane lifting appliance, which comprises a high-definition low-illumination fog-penetrating camera, a laser array LED compensating lamp, a video transmitter/server, a display and a centralized power supply. The high-definition low-illumination fog-penetrating camera mainly has the functions of picture imaging, hanger position detection and identification and optical zooming locking of a hanger. The laser array LED compensation lamp has the function of compensating the light of the camera, and the imaging definition of the camera and the position accuracy of a lifting appliance are improved. The video transmitter has the functions of building a stable real-time video signal and data loop and providing communication interfaces such as MODBUS, RS485, CVBS and the like for the server and the camera. The server is used for carrying out A/D, D/A conversion on the video signals and the data collected by each sensor, and carrying out corresponding control and adjustment after analyzing and comparing each data. The display function is for showing high definition picture and hoist position in real time. The centralized power supply function provides various stable power supplies for system equipment.
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申请号:201911279317.2 公开号:CN111009177A 主分类号:G09B25/02
申请人:【中文】同济大学【EN】TONGJI University 申请日:2019.12.13 公开日:2020.04.14
摘要:【中文】根据本发明的用于骨钻孔教学的三坐标式机器人,包括三坐标机械臂部、末端执行部、示教器、控制部。三坐标机械臂部包括均具有导轨、模组滑块的X轴模组、Y轴模组、Z轴模组,X轴模组具有水平设置的X轴导轨、X轴模组滑块,Z轴模组具有竖直设置的Z轴导轨、Z轴模组滑块,Z轴导轨的下端与X轴模组滑块相连,X轴模组滑块带动Z轴模组沿X轴导轨移动,Y轴模组具有垂直于X轴和Z轴平面设置的Y轴导轨、Y轴模组滑块,Y轴模组滑块与Z轴模组滑块相连,Z轴模组滑块带动Y轴模组沿Z轴导轨移动,控制部控制第一摄像头、第二摄像头对模拟骨进行定位,并控制电钻对模拟骨进行钻孔后,将力传感器得到的数据,同步显示在人机互动界面上。 【EN】The three-coordinate robot for bone drilling teaching comprises a three-coordinate mechanical arm part, a tail end execution part, a demonstrator and a control part. The three-coordinate mechanical arm part comprises X-axis modules, Y-axis modules and Z-axis modules, wherein the X-axis modules are provided with X-axis guide rails and X-axis module sliders, the X-axis modules are provided with Z-axis guide rails and Z-axis module sliders, the Z-axis guide rails are vertically arranged, the lower ends of the Z-axis guide rails are connected with the X-axis module sliders, the X-axis module sliders drive the Z-axis modules to move along the X-axis guide rails, the Y-axis modules are provided with Y-axis guide rails and Y-axis module sliders, the Y-axis module sliders are perpendicular to X-axis and Z-axis planes and connected with the Z-axis module sliders, the Z-axis module sliders drive the Y-axis modules to move along the Z-axis guide rails, the control part controls the first camera and the second camera to position the simulated bones and controls the electric drills to the simulated bones, and data obtained by the force sensors are synchronously displayed on a human-machine interaction interface.
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申请号:201911400349.3 公开号:CN111210409A 主分类号:G06T7/00
申请人:【中文】浙江大学【EN】ZHEJIANG University 申请日:2019.12.30 公开日:2020.05.29
摘要:【中文】本发明公开了一种基于条件生成对抗网络的结构损伤识别方法,在训练阶段,首先通过有限元计算或现场实测得到不同荷载下结构的结构响应响应以及对应的加载条件,并基于条件生产对抗网络模型训练两个深度神经网络G和D,训练完成之后,以现场测得的结构响应响应信息输入生成网络G,得到对应的加载条件。本发明可以通过数据驱动的方式高效地识别结构损伤,将有效解决工程健康监测中难以原位实时识别结构内部损伤问题。 【EN】The invention discloses a structural damage identification method for generating a confrontation network based on conditions, which comprises the steps of obtaining structural response responses and corresponding loading conditions of structures under different loads through finite element calculation or field actual measurement in a training stage, training two deep neural networks G and D based on a condition production confrontation network model, inputting structural response information obtained through field measurement to generate a network G after training is completed, and obtaining corresponding loading conditions. The method can efficiently identify the structural damage in a data-driven mode, and can effectively solve the problem that the internal damage of the structure is difficult to identify in situ and in real time in engineering health monitoring.
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