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申请号:201911281369.3 公开号:CN111106098A 主分类号:H01L25/07
摘要:【中文】本发明公开了一种低寄生电感布局的功率模块,包括布局在绝缘基板上的上半桥开关单元和下半桥开关单元;所述上半桥开关单元布局在绝缘基板的中间位置,该上半桥开关单元的集电极或漏极与绝缘基板上的正电极铜层电连接,其发射极或源极与输出电极铜层电连接。 【EN】The invention discloses a power module with a low parasitic inductance layout, which comprises an upper half-bridge switch unit and a lower half-bridge switch unit, wherein the upper half-bridge switch unit and the lower half-bridge switch unit are arranged on an insulating substrate; the upper half-bridge switch unit is arranged in the middle of the insulating substrate, the collector or the drain of the upper half-bridge switch unit is electrically connected with the positive electrode copper layer on the insulating substrate, and the emitter or the source of the upper half-bridge switch unit is electrically connected with the output electrode copper layer.
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申请号:201911014470.2 公开号:CN110853639A 主分类号:G10L15/22
摘要:【中文】本申请实施例公开了一种语音转写方法及相关装置,方法包括:在检测到录音请求时,采集语音数据;获取所述录音设备的预设信息,所述预设信息包括所述录音设备的设备状态信息和/或用户针对所述录音设备的操作信息;根据所述预设信息确定本次录音事件的语音转写模式;按照所述语音转写模式对所述语音数据进行语音转写文字操作。本申请不仅能够实现在录音设备上将语音转写成文字,而且能避免任何状态均采用一种转写模式而无法满足用户需求,在进行语音转写时还能够智能管控语音转写进程。 【EN】The embodiment of the application discloses a voice transcription method and a related device, wherein the method comprises the following steps: when a recording request is detected, voice data is collected; acquiring preset information of the recording equipment, wherein the preset information comprises equipment state information of the recording equipment and/or operation information of a user aiming at the recording equipment; determining a voice transcription mode of the recording event according to the preset information; and performing voice transcription character operation on the voice data according to the voice transcription mode. This application not only can realize becoming the characters with pronunciation transcription on recording equipment, can avoid any state to all adopt a transcription mode moreover and can't satisfy user's demand, can also intelligent management and control pronunciation transcription process when carrying out pronunciation transcription.
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申请号:202010005566.9 公开号:CN111175969A 主分类号:G02B27/00
申请人:【中文】浙江大学【EN】ZHEJIANG University 申请日:2020.01.03 公开日:2020.05.19
摘要:【中文】本发明涉及光学技术领域,具体涉及一种基于涡旋对光束的光镊系统,包括按光路设置的激光器、准直扩束系统、空间光调制器、共焦缩束系统、样品台和观测单元,所述的空间光调制器实时连续加载不同的涡旋对光束相位图,利用单一涡旋对光束对微粒实时操控和旋转。该光镊系统可以实现两个微粒在平面内任意位置的精准调控和定位,以及棒状微粒平面内任意可控的旋转操作,这使得该光镊系统的应用对象更加丰富,有效解决了现有光镊系统对棒状微粒难控制以及精准定向旋转的问题。 【EN】The invention relates to the technical field of optics, in particular to an optical tweezers system based on vortex pair light beams, which comprises a laser, a collimation and beam expansion system, a spatial light modulator, a confocal beam contraction system, a sample stage and an observation unit, wherein the laser, the collimation and beam expansion system, the spatial light modulator, the confocal beam contraction system, the sample stage and the observation unit are arranged according to a light path, the spatial light modulator continuously loads different vortex pair light beam phase diagrams in real time, and the single vortex pair light beam is used for controlling and rotating particles in real. The optical tweezers system can realize the accurate regulation and control and positioning of two particles at any position in a plane and the arbitrary controllable rotation operation in the plane of the rod-shaped particles, so that the application objects of the optical tweezers system are richer, and the problems of difficult control and accurate directional rotation of the rod-shaped particles of the conventional optical tweezers system are effectively solved.
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申请号:201911374557.0 公开号:CN111127944A 主分类号:G08G1/14
摘要:【中文】本发明提供一种共享单车停放区域推荐方法、装置、系统及存储介质,该方法,包括:根据奖励区域信息,筛选目标用户;向所述目标用户的终端发送提示信息;确定所述目标用户在预设条件下完成车辆停放时,向所述目标用户发放对应的奖励。本发明可以通过向目标用户发放奖励的方式,引导用户自觉定点停放车辆,减少车辆调度成本,增加用户粘性。 【EN】The invention provides a method, a device, a system and a storage medium for recommending a shared bicycle parking area, wherein the method comprises the following steps: screening target users according to the reward area information; sending prompt information to the terminal of the target user; and when the target user is determined to finish vehicle parking under the preset condition, corresponding rewards are issued to the target user. The invention can guide the user to park the vehicle at fixed points by a mode of distributing the reward to the target user, thereby reducing the vehicle dispatching cost and increasing the user viscosity.
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申请号:201911407048.3 公开号:CN111103139A 主分类号:G01M13/045
申请人:【中文】福州大学【EN】FUZHOU University 申请日:2019.12.31 公开日:2020.05.05
摘要:【中文】本发明涉及一种基于GRCMSE与流形学习的滚动轴承故障诊断方法,包括以下步骤:步骤S1:利用加速度传感器采集滚动轴承振动加速度信号;步骤S2:利用GRCMSE算法对振动加速信号进行特征提取;步骤S3:采用DDMA流形学习方法对滚动轴承故障特征信息进行降维处理,并将降维后的滚动轴承故障特征信息,按比例分为训练样本低维特征集和测试样本低维特征集;步骤S4:根据训练样本低维特征,训练PSO‑SVM分类器,得到训练好的PSO‑SVM分类器;步骤S5:将测试样本低维特征集输入训练好的PSO‑SVM分类器,诊断得到故障类型。本发明克服了多尺度样本熵中粗粒化存在的不足,解决了高维故障特征存在的信息冗余问题,能够有效诊断滚动轴承不同状态类型。 【EN】The invention relates to a rolling bearing fault diagnosis method based on GRCMSE and manifold learning, which comprises the following steps of: step S1, acquiring a vibration acceleration signal of the rolling bearing by using an acceleration sensor; step S2, extracting the characteristics of the vibration acceleration signal by using a GRCMSE algorithm; step S3, adopting a DDMA manifold learning method to perform dimension reduction processing on the rolling bearing fault characteristic information, and dividing the rolling bearing fault characteristic information after dimension reduction into a training sample low-dimensional characteristic set and a test sample low-dimensional characteristic set according to a proportion; step S4, training a PSO-SVM classifier according to the low-dimensional features of the training samples to obtain a trained PSO-SVM classifier; and step S5, inputting the low-dimensional feature set of the test sample into the trained PSO-SVM classifier, and diagnosing to obtain the fault type. The method overcomes the defects of coarse graining in the multi-scale sample entropy, solves the problem of information redundancy existing in high-dimensional fault characteristics, and can effectively diagnose different state types of the rolling bearing.
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申请号:202010128869.X 公开号:CN111096872A 主分类号:A61H1/02
申请人:【中文】福州大学【EN】FUZHOU University 申请日:2020.02.28 公开日:2020.05.05
摘要:【中文】本发明涉及一种可调平台高度的并联脚踝康复机器人及其使用方法,包括支撑平台和平行设于支撑平台上方的并由升降机构驱动升降的U型平台,所述U型平台与支撑平台之间设有用于放置脚部的踏板动平台,所述踏板动平台与U型平台之间设有至少三个竖向伸缩机构,所述竖向伸缩机构的上端与U型平台相铰接,竖向伸缩机构的下端与踏板动平台相铰接。本发明利用丝杆机构调节踏板动平台的高度,有效控制踏板动平台的运动空间,而通过竖向伸缩机构改变踏板动平台的倾斜角度,实现患者的被动康复动作,整个结构简单、合理,既能够满足脚踝康复运动角度,同时也达到有效简化设备机构、节约成本的目的。 【EN】The invention relates to a parallel ankle rehabilitation robot with adjustable platform height and a using method thereof. The ankle rehabilitation device utilizes the screw rod mechanism to adjust the height of the pedal moving platform, effectively controls the movement space of the pedal moving platform, changes the inclination angle of the pedal moving platform through the vertical telescopic mechanism, realizes the passive rehabilitation action of a patient, has simple and reasonable whole structure, can meet the ankle rehabilitation movement angle, and simultaneously achieves the purposes of effectively simplifying the device mechanism and saving the cost.
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申请号:201910957230.X 公开号:CN110852067A 主分类号:G06F40/211
摘要:【中文】本发明提供了一种基于SVM的非实体词依赖关系提取的问句解析方法,包括以下步骤:S1、获取问句,生成实体词关系确定的分析树;S2、调整非实体词节点在分析树中的悬挂位置,得到符合语法规范的问句;S3、将所述问句通过SVM进行排序,输出排序最高的问句对应的答案。本基于SVM的非实体词依赖关系提取的问句解析方法,能够提高准确性,对于训练数据规模的要求更小,移植更方便。 【EN】The invention provides a question analysis method for extracting non-entity word dependency relationship based on SVM, which comprises the following steps: s1, obtaining a question and generating an analysis tree determined by the relation of the entity words; s2, adjusting the hanging position of the non-entity word node in the analysis tree to obtain a question conforming to the grammar specification; and S3, sorting the question sentences through an SVM, and outputting answers corresponding to the highest-sorted question sentences. The question analysis method for extracting the non-entity word dependency relationship based on the SVM can improve accuracy, has smaller requirement on the scale of training data, and is more convenient to transplant.
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申请号:201911178918.4 公开号:CN110964882A 主分类号:C21D1/26
申请人:【中文】本钢板材股份有限公司【EN】BENGANG STEEL PLATES Co.,Ltd. 申请日:2019.11.27 公开日:2020.04.07
摘要:【中文】本发明属于冷轧高强钢生产制造技术领域,涉及一种基于碳配分工艺的一钢两用冷轧高强钢及其制造方法。化学成分按重量百分比计包括:C:0.20‑0.30%,Si:1.5‑2.5%,Mn:2.0‑3.0%,Cr:0.2‑0.4%,Nb:0.03‑0.06%,Ti:0.02‑0.10%,Al:0.02‑0.40%,B:0.002‑0.005%,S<0.015%,P<0.010%,余量为Fe及不可避免的夹杂物。该方法利用一种成分通过工艺控制完成TRIP780及QP980两个不同钢种类型及强度级别产品的生产。本发明提供的方法适用于工业生产,工艺易于控制,可为企业降本增效的高强钢生产方法。 【EN】The invention belongs to the technical field of production and manufacturing of cold-rolled high-strength steel, and relates to one-steel dual-purpose cold-rolled high-strength steel based on a carbon distribution process and a manufacturing method thereof. The chemical components comprise the following components in percentage by weight: c: 0.20-0.30%, Si: 1.5-2.5%, Mn: 2.0-3.0%, Cr: 0.2-0.4%, Nb: 0.03 to 0.06%, Ti: 0.02-0.10%, Al: 0.02-0.40%, B: 0.002-0.005%, S less than 0.015%, P less than 0.010%, and the balance Fe and inevitable impurities. The method utilizes one component to complete the production of TRIP780 and QP980 products with two different steel types and strength grades through process control. The method provided by the invention is suitable for industrial production, the process is easy to control, and the cost reduction and efficiency improvement can be realized for enterprises.
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申请号:202010051670.1 公开号:CN111238807A 主分类号:G01M13/021
申请人:【中文】福州大学【EN】FUZHOU University 申请日:2020.01.17 公开日:2020.06.05
摘要:【中文】本发明涉及一种行星齿轮箱故障诊断方法。首先,利用樽海鞘群优化变分模态分解(SSO‑VMD)对信号进行分解与重构。然后,从多域提取故障特征,并采用改进监督型自组织增量学习神经网络界标点等度规映射(ISSL‑Isomap)进行降维处理。最后,运用人工蜂群优化支持向量机(ABC‑SVM)分类器进行诊断识别。本发明克服了VMD算法中的参数选取问题,解决了多域特征存在的信息冗余问题。行星齿轮箱故障诊断实验结果表明所提方法能够有效识别出各故障类型,具有很大的实用价值。 【EN】The invention relates to a fault diagnosis method for a planetary gearbox. Firstly, decomposing and reconstructing signals by using a goblet sea squirt group optimization variational modal decomposition (SSO-VMD). And then, extracting fault features from multiple domains, and performing dimensionality reduction processing by adopting improved supervised self-organizing incremental learning neural network landmark point isometric mapping (ISSL-Isomap). And finally, diagnosing and identifying by using an artificial bee colony optimization support vector machine (ABC-SVM) classifier. The invention overcomes the parameter selection problem in the VMD algorithm and solves the information redundancy problem existing in the multi-domain characteristic. The fault diagnosis experiment result of the planetary gear box shows that the method can effectively identify each fault type and has great practical value.
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申请号:202010034713.5 公开号:CN111269988A 主分类号:C12Q1/6888
申请人:【中文】中国农业科学院北京畜牧兽医研究所【EN】Xiangyang Miao 申请日:2020.01.11 公开日:2020.06.12
摘要:【中文】一种猪肌肉中与饲料利用效率相关的lncRNA及其应用,本发明涉及一种猪肌肉组织提取的lncRNA及其应用,具体涉及含有ALDBSSCT0000003250序列的LncRNA在选育低剩余采食量的猪种中的应用。本发明lncRNA的靶基因为NCEH1。本发明提供了猪剩余采食量性状的表观调控分子,该表观调控分子的靶基因在高、低剩余采食量猪肌肉中差异表达,可参与肌肉的脂代谢调控,进而影响肌肉的能量代谢。本发明鉴定得到的lncRNA及其靶基因,可为基因组相关位置分子标记的筛选提供参考,也可为猪的基因组编辑育种提供候选基因。 【EN】The invention relates to lncRNA extracted from pig muscle tissues and application thereof, in particular to application of lncRNA containing an ALDBSCT 0000003250 sequence in breeding of low-residual-feed-consumption pig breeds. The target gene of lncRNA of the present invention is NCEH 1. The invention provides an apparent regulatory molecule for the character of the residual feed intake of pigs, and a target gene of the apparent regulatory molecule is differentially expressed in the muscles of the pigs with high and low residual feed intake, can participate in the regulation and control of the lipid metabolism of the muscles, and further influences the energy metabolism of the muscles. The lncRNA and the target gene thereof identified by the invention can provide reference for screening of molecular markers at relevant positions of a genome and provide candidate genes for genome editing and breeding of pigs.
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