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Science China Technological Sciences 2024年第12期67卷 3682-3694页

作者： ye songtao AN Dou Faculty of Electronic and Information Engineering Xi'an Jiaotong University

Electric vehicles(EVs) powered by lithium-ion batteries have emerged as a global development trend. To ensure the safe and stable driving of EVs, it is imperative to address battery safety and thermal management issues, which rely heavily on the precise state-of-charge(SOC) estimation of the battery. However, estimating SOC under uncontrolled environmental temperatures remains an unresolved challenge. This study proposes a patch-level representation learning model based on domain knowledge to estimate the SOC over a wide temperature range. First, patches were adopted as inputs instead of traditional points, thereby mitigating error accumulation and capturing dynamic changes in the battery from these more informative ***, the open-circuit voltage(OCV)-SOC-temperature relationship was incorporated to obtain the temperature-related SOC priors. Subsequently, the prior was updated recursively along the time dimension to obtain a more precise SOC estimate. The accuracy of the proposed model was confirmed experimentally for three driving cycles at six ambient temperatures, significantly reducing the root mean square error by 48.19% compared to popular existing models. Notably, the performance of the proposed method had an excellent improvement of 51.52% and 57.20% at-10°C and-20°C, respectively. Moreover, the parameter size of the proposed method was 39.748 KB, which significantly promoted the deployment and application of data-driven models in the real world.

关键词： lithium-ion battery data-driven prior knowledge state-of-charge wide temperature scope

When aggregation-induced emission meets protein aggregates

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National Science Review 2021年第6期8卷 13-15页

作者： Sicheng Tang songtao ye Xin Zhang Department of Chemistry The Pennsylvania State University Department of Biochemistry and Molecular Biology The Pennsylvania State University

Protein misfolding and aggregation have been associated with a number of human diseases. As a multistep process(Fig. 1 a), protein unfolding yields misfolded intermediates as either monomers or oligomers, which evolve into insoluble aggregates as amorphous aggregates or amyloid-β fibrils. Detection of protein aggregates is of great interest as it could generate unprecedented insights into biogenesis, regulation and pathology of protein aggregation.

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Belief Combination of Classifiers for Incomplete Data

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IEEE/CAA Journal of Automatica Sinica 2022年第4期9卷 652-667页

作者： Zuowei Zhang songtao ye Yiru Zhang Weiping Ding Hao Wang IEEE the Research Center for Optical Fiber Sensing Zhejiang Laboratory the School of Automation Northwestern Polytechnical University the School of Cyber Engineering Xidian University the Department of Computer Science CY Cergy Paris Université the School of Information Science and Technology Nantong University the School with of Cyber Engineering Xidian University the Department of Computer Science Norwegian University of Science and Technology

Data with missing values,or incomplete information,brings some challenges to the development of classification,as the incompleteness may significantly affect the performance of *** this paper,we handle missing values in both training and test sets with uncertainty and imprecision reasoning by proposing a new belief combination of classifier(BCC)method based on the evidence *** proposed BCC method aims to improve the classification performance of incomplete data by characterizing the uncertainty and imprecision brought by *** BCC,different attributes are regarded as independent sources,and the collection of each attribute is considered as a ***,multiple classifiers are trained with each subset independently and allow each observed attribute to provide a sub-classification result for the query ***,these sub-classification results with different weights(discounting factors)are used to provide supplementary information to jointly determine the final classes of query *** weights consist of two aspects:global and *** global weight calculated by an optimization function is employed to represent the reliability of each classifier,and the local weight obtained by mining attribute distribution characteristics is used to quantify the importance of observed attributes to the pattern *** comparative experiments including seven methods on twelve datasets are executed,demonstrating the out-performance of BCC over all baseline methods in terms of accuracy,precision,recall,F1 measure,with pertinent computational costs.

关键词： Classifier fusion classification evidence theory incomplete data missing values

Analysis and prediction of surface roughness for robotic belt grinding of complex blade considering coexistence of elastic deformation and varying curvature

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Science China(Technological Sciences) 2021年第5期64卷 957-970页

作者： XU XiaoHu ye songtao YANG ZeYuan YAN SiJie ZHU DaHu DING Han State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of TechnologyWuhan 430070China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of TechnologyWuhan 430070China

Precision prediction of machined surface roughness is challenging facing the robotic belt grinding of complex blade,since this process is accompanied by significant elastic *** resulting poor prediction accuracy,to a great extent,is attributed to the existing prediction model which less considers the *** this paper,an improved scallop height model is developed to predict and assess the machined surface roughness by taking into account the elastic deformation and the varying curvature of blade,then robotic belt grinding experiments are carried out to evaluate the proposed model from the perspective of surface *** factors that influence the scallop height are analyzed,and the suitable empirical equation of surface roughness is proposed to assess and predict the surface quality from the aspect of blade concave and convex surface by adopting the constant scallop height machining.

关键词： robotic belt grinding scallop height elastic deformation surface roughness prediction

A dual-functional BODIPY-based molecular rotor probe reveals different viscosity of protein aggregates in live cells

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Aggregate

Aggregate 2023年第3期4卷 162-168页

作者： Baoxing Shen Kwan Ho Jung songtao ye Conner A.Hoelzel Charles H.Wolstenholme He Huang Yu Liu Xin Zhang Department of Chemistry School of Science and Research Center for Industries of the FutureWestlake Laboratory of Life Sciences and BiomedicineWestlake UniversityHangzhouChina School of Food Science and Pharmaceutical Engineering Nanjing Normal UniversityNanjingChina Department of Chemistry The Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA Dalian Institute of Chemical Physics DalianChina Department of Biochemistry and Molecular Biology The Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA

Aberrant protein aggregation leads to various human diseases,but little is known about the physical chemical properties of these aggregated proteins in ***,we developed a boron-dipyrromethene(BODIPY)-based HaloTag probe,whose conjugation to HaloTag-fused proteins allows us to study protein aggregates using both fluorescence intensity and *** of BODIPY fluorophore reveals key structural features to attain the dual *** optimized probe exhibits increased fluorescence intensity and elongated fluorescence lifetime in protein *** lifetime imaging using this probe indicates that protein aggregates afford different viscosity in the forms of soluble oligomers and insoluble aggregates in live *** strategy presented in this work can be extended to enable a wide class of HaloTag probes that can be used to study a variety of physical properties of protein aggregates,thus helping unravel the pathogenic mechanism and develop therapeutic strategy.

关键词： fluorescence microscopy fluorescent probes protein aggregates

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接装纸涂胶在线检测及剔除系统的设计应用

烟草科技 2012年第3期45卷 25-27页

作者：叶松涛许昌烟草机械有限责任公司河南省许昌市工农路南段461000

为实时监测并剔除因接装纸涂胶不均、位置偏移等产生的缺陷烟支,根据接装纸涂胶量对微波电磁场能量参数造成的不同变化,设计了接装纸涂胶在线检测及剔除系统。该系统利用微波介质谐振器振荡器产生的微波信号,通过微波PIN单刀多掷开关将... 详细信息

为实时监测并剔除因接装纸涂胶不均、位置偏移等产生的缺陷烟支,根据接装纸涂胶量对微波电磁场能量参数造成的不同变化,设计了接装纸涂胶在线检测及剔除系统。该系统利用微波介质谐振器振荡器产生的微波信号,通过微波PIN单刀多掷开关将微波信号分时发送到微波谐振腔作为检测信号,根据谐振腔输出信号幅度值的变化可判断出接装纸涂胶质量是否有缺陷。应用效果表明,该系统实现了在线检测并剔除烟支接嘴端、搭口端未涂胶,接装纸涂胶量太少,位置发生偏移的缺陷烟支,检测最小缺胶面积2 mm×2 mm,有效剔除率达到96%,从而保证了接装纸涂胶质量及控制精度,提高了烟支外观质量。

关键词：接装纸涂胶微波介质谐振器振荡器在线检测烟支剔除

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串级控制对过程预测控制的影响分析与对策

化工进展 2016年第2期35卷 417-424页

作者：罗雄麟叶松涛许锋许鋆中国石油大学(北京)自动化系北京102249

化工过程控制中普遍设置以流量控制为副回路的串级控制来实现对温度、液位和成分等被控变量的控制。预测控制的操作变量在很多情况下也是流量,其控制作用的实现要靠底层的流量控制回路。本文针对由于现场串级控制结构不允许改变,流量副... 详细信息

化工过程控制中普遍设置以流量控制为副回路的串级控制来实现对温度、液位和成分等被控变量的控制。预测控制的操作变量在很多情况下也是流量,其控制作用的实现要靠底层的流量控制回路。本文针对由于现场串级控制结构不允许改变,流量副回路只能接收温度等主控制器的输出作为其给定值,造成上层预测控制的操作变量无法直接下载到流量控制回路的问题,分别提出了一种将上层优化输出通过一阶惯性滤波作用于主回路控制器和一种将串级控制中流量对主被控变量的传递函数嵌入预测控制模型的实施方案,通过Shell标准重油分馏塔的控制问题进行仿真实验证明了两种方案的可行性,并对其控制性能进行了比较分析。两种方法理论上构思简单,实际中易于实现,具有普遍适用性。

关键词：过程控制预测控制串级控制副回路流量

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基于Merkle哈希树的范围查询验证技术

东南大学学报（自然科学版） 2017年第A01期47卷 118-122页

作者：赵蒙王雷匡林爱叶松涛刘栋湘潭大学信息工程学院湘潭411105 湖南省湘潭大学智能计算与信息处理教育部重点实验室湘潭411105

由于目前在两层传感器网络中的范围查询验证技术主要基于Merkle哈希树,存在验证对象大、验证过程冗余、安全性低等问题,提出一种新颖的基于Merkle哈希树数据完整性验证方案.该方案采用部分物化的思想优化哈希树模型,首先将叶子节点分为... 详细信息

由于目前在两层传感器网络中的范围查询验证技术主要基于Merkle哈希树,存在验证对象大、验证过程冗余、安全性低等问题,提出一种新颖的基于Merkle哈希树数据完整性验证方案.该方案采用部分物化的思想优化哈希树模型,首先将叶子节点分为若干组,每组构建一棵子哈希树,这些子哈希树构成第1层子树,并且只对第1层子树的根节点签名;然后按照同样的方法,将第1层子树签名的根节点分为若干组,形成第2层子树.以此类推,直到最后只有一颗哈希树为止;最后,基站通过部分签名的根节点便可验证查询结果的真实性.实验结果表明,该方案可以增强哈希树的抗攻击性,提高查询结果的验证速度,降低各节点计算hash值的复杂度.

关键词：无线传感器网络范围查询完整性验证 Merkle哈希树签名

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两层传感器网络中安全Top-k查询协议

计算机研究与发展 2012年第9期49卷 1947-1958页

作者：李睿林亚平易叶青熊帅叶松涛湖南大学信息科学与工程学院长沙410082

在两层结构传感器网络中,存储节点收集传感器采集的数据,负责处理Sink的查询.在敌对环境中,存储节点可能会被攻击者妥协而泄露传感器所采集的敏感数据以及向Sink返回不完整的或虚假的查询结果.为此,提出了一种安全Top-k查询协议:SecTQ,S... 详细信息

在两层结构传感器网络中,存储节点收集传感器采集的数据,负责处理Sink的查询.在敌对环境中,存储节点可能会被攻击者妥协而泄露传感器所采集的敏感数据以及向Sink返回不完整的或虚假的查询结果.为此,提出了一种安全Top-k查询协议:SecTQ,SecTQ在保证存储节点正确执行查询的同时能有效防止敏感数据的泄露.为了保护数据的隐私性,首先将不同传感器采集的数据之间的直接比较转换成传感器采集的数据与Sink提供的查询比较值进行比较,并提出了一种基于扰动多项式函数的隐私保护方案.该方案利用扰动函数对传感器采集的数据和Sink提供的查询比较值进行编码,保证存储节点在不知道数据和查询比较值真实内容的情况下正确地执行查询处理.为了保护查询结果的完整性,提出了一种称之为水印链的方案,该方案能有效检测查询结果的完整性.

关键词：两层结构无线传感器网络 Top—k查询扰动多项式函数水印链安全查询

基于分片变换的图像Copy-Move篡改检测方法

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武汉大学学报（信息科学版） 2017年第9期42卷 1337-1342页

作者：谢伟万晓霞严文婧叶松涛武汉大学印刷与包装系湖北武汉430072 武汉大学中国摄影文化产业研究中心湖北武汉430072 湘潭大学信息工程学院湖南湘潭411105

针对图像区域复制(copy-move,C-M)篡改检测方法通常面临的特征向量维度高、计算量大等问题,提出了一种基于分片变换(slicing transform,SLT)的图像C-M篡改检测方法。通过对目标图像进行SLT变换并对图像分片进行分组合并,提取每组图像分... 详细信息

针对图像区域复制(copy-move,C-M)篡改检测方法通常面临的特征向量维度高、计算量大等问题,提出了一种基于分片变换(slicing transform,SLT)的图像C-M篡改检测方法。通过对目标图像进行SLT变换并对图像分片进行分组合并,提取每组图像分片的局部分片密度特征对图像块进行C-M篡改检测。实验结果表明,该方法提出的局部分片密度特征向量能够较好地表征图像特征,较典型的基于分块的篡改检测方法特征维度低,具有较低的时间复杂度和较高的检测率,并且对图像篡改区域的旋转攻击和缩放攻击亦具有较好的鲁棒性。

关键词： SLT C—M 篡改检测图像取证