检索结果-南通市图书馆

Anomaly Detection of Controllable Electric Vehicles through Node Equation against Aggregation Attack

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第1期82卷 427-442页

作者： jing guo Ziying Wang Yajuan guo Haitao Jiang State Grid Jiangsu Electric Power Co. Ltd.Research InstituteState Grid Corporation of ChinaNanjing211100China

The rapid proliferation of electric vehicle(EV)charging infrastructure introduces critical cybersecurity vulnerabilities to power grids *** study presents an innovative anomaly detection framework for EV charging stations,addressing the unique challenges posed by third-party aggregation *** approach integrates node equations-based on the parameter identification with a novel deep learning model,xDeepCIN,to detect abnormal data reporting indicative of aggregation *** employ a graph-theoretic approach to model EV charging networks and utilize Markov Chain Monte Carlo techniques for accurate parameter *** xDeepCIN model,incorporating a Compressed Interaction Network,has the ability to capture complex feature interactions in sparse,high-dimensional charging *** results on both proprietary and public datasets demonstrate significant improvements in anomaly detection performance,with F1-scores increasing by up to 32.3%for specific anomaly types compared to traditional methods,such as wide&deep and DeepFM(Factorization-Machine).Our framework exhibits robust scalability,effectively handling networks ranging from 8 to 85 charging ***,we achieve real-time monitoring capabilities,with parameter identification completing within seconds for networks up to 1000 *** research contributes to enhancing the security and reliability of renewable energy systems against evolving cyber threats,offering a comprehensive solution for safeguarding the rapidly expanding EV charging infrastructure.

关键词： Anomaly detection electric vehicle aggregation attack deep cross-network

Unraveling the significance of cobalt on transformation kinetics,crystallography and impact toughness in high-strength steels

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 380-390页

作者： Yishuang Yu jingxiao Zhao Xuelin Wang Hui guo Zhenjia Xie Chengjia shang Collaborative Innovation Center of Steel Technology University of Science and Technology BeijingBeijing 100083China School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China

This work reveals the significant effects of cobalt(Co)on the microstructure and impact toughness of as-quenched highstrength steels by experimental characterizations and thermo-kinetic *** results show that the Co-bearing steel exhibits finer blocks and a lower ductile-brittle transition temperature than the steel without ***,the Co-bearing steel reveals higher transformation rates at the intermediate stage with bainite volume fraction ranging from around 0.1 to *** improved impact toughness of the Co-bearing steel results from the higher dense block boundaries dominated by the V1/V2 variant ***,the addition of Co induces a larger transformation driving force and a lower bainite start temperature(BS),thereby contributing to the refinement of blocks and the increase of the V1/V2 variant *** findings would be instructive for the composition,microstructure design,and property optimization of high-strength steels.

关键词： high-strength steel cobalt transformation kinetics crystallography impact toughness

Catalytic Performance of Carbon Smoke over Ag-LSCF Composite Catalysts

在线全文

学校读者我要写书评

暂无评论

Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 30-34页

作者： guo Guanlun HAN Ming LU Shaomin YU jing JU Hongling 无 Hubei Key Laboratory of Advanced Technology for Automotive Components&Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of TechnologyWuhan 430070China College of Mechanical and Transportation Southwest Forestry UniversityKunming 650000China

To improve the catalytic performance of La_(0.6)Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3)(LSCF)towards carbon soot,we utilized the impregnation method to incorporate Ag into the prepared LSCF *** conducted a series of characterization tests and evaluated the soot catalytic activity of the composite catalyst by comparing it with the LaCoO_(3) group,LaFeO_(3) group,and catalyst-free *** results indicate that the Ag-LSCF composite catalyst exhibits the highest soot catalytic activity,with the characteristic temperature values of 376.3,431.1,and 473.9℃at 10%,50%,and 90%carbon soot conversion,*** values are 24.8,20.2,and 23.1℃lower than those of the LSCF *** also shows that LSCF can improve the catalytic activity of soot after compounding with Ag,and reflects the necessity of using catalysts in soot combustion *** characterization and BET test show that Ag-LSCF has more abundant surface-adsorbed oxygen species,larger specific surface area and pore volume than LSCF,which also proves that Ag-LSCF has higher soot catalytic activity.

关键词： metallic composites carbon smoke oxidation perovskite catalyst soot

Effects of the extrusion parameters on microstructure,texture and room temperature mechanical properties of extruded Mg-2.49Nd-1.82Gd-0.2Zn-0.2Zr alloy

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 136-146页

作者： Chenjin Zhang Guangyu Yang Lei Xiao Zhiyong Kan jing guo Qiang Li Wanqi Jie State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an 710072China College of Materials Science and Engineering Fuzhou UniversityFuzhou 350108China College of Chemistry and Environmental Science Qujing Normal UniversityQujing 655011China

Microstructure,texture,and mechanical properties of the extruded Mg-2.49Nd-1.82Gd-0.2Zn-0.2Zr alloy were investigated at different extrusion temperatures(260 and 320℃),extrusion ratios(10:1,15:1,and 30:1),and extrusion speeds(3 and 6 mm/s).The experimental results exhibited that the grain sizes after extrusion were much finer than that of the homogenized alloy,and the second phase showed streamline distribution along the extrusion direction(ED).With extrusion temperature increased from 260 to 320℃,the microstructure,texture,and mechanical properties of alloys changed *** dynamic recrystallization(DRX)degree and grain sizes enhanced as the extrusion ratio increased from 10:1 to 30:1,and the strength gradually decreased but elongation(EL)*** the extrusion speed increased from 3 to 6 mm/s,the grain sizes and DRX degree increased significantly,and the samples presented the typical-rare-earth(RE)*** alloy extruded at 260℃ with extrusion ratio of 10:1 and extrusion speed of 3 mm/s showed the tensile yield strength(TYS)of 213 MPa and EL of 30.6%.After quantitatively analyzing the contribution of strengthening mechanisms,it was found that the grain boundary strengthening and dislocation strengthening played major roles among strengthening *** results provide some guidelines for enlarging the industrial application of extruded Mg-RE alloy.

关键词： Mg-rare earth alloys extrusion temperature extrusion ratio extrusion speed strengthening mechanisms

在线全文

学校读者我要写书评

暂无评论

基于改进共轭梯度理论神经网络优化算法研究

电测与仪表 2014年第19期51卷 36-40页

作者：邢晓敏商国敬东北电力大学电气工程学院吉林吉林132012

文章阐述了一种改进共轭梯度理论神经网络优化算法。该方法是在传统共轭梯度算法(CG)基础上引入对输出权值进行优化的理念,故称其为输出权值优化共轭梯度算法(OWO-CG)。这种算法在进行学习时,首先根据误差函数利用共轭梯度法计算收敛因... 详细信息

文章阐述了一种改进共轭梯度理论神经网络优化算法。该方法是在传统共轭梯度算法(CG)基础上引入对输出权值进行优化的理念,故称其为输出权值优化共轭梯度算法(OWO-CG)。这种算法在进行学习时,首先根据误差函数利用共轭梯度法计算收敛因子,并修改输入层和隐含层的权值因子;接着,计算隐含层输出函数,利用相关输出权值优化理论构建并求解线性方程组得到输出层的权值因子;最后,计算误差函数,利用该算法不停地修正神经网络回路输出值与期望输出值之间的差值,直到满足精度要求为止。仿真验证结果表明,与传统共轭梯度算法相比,这种算法的学习过程更加迅速和准确。

关键词：神经网络优化算法共轭梯度输出权值

Modifying metabolic and immune hallmarks of cancer by a copper complex

在线全文

学校读者我要写书评

暂无评论

Science China Chemistry 2025年

作者： Chengyan Chu Yunhua Zhang Chengyuan Qian Xiuzhi Yang Yicun shang Zijian guo Xiaoyong Wang State Key Laboratory of Pharmaceutical Biotechnology School of Life Sciences Nanjing University State Key Laboratory of Coordination Chemistry School of Chemistry and Chemical Engineering Nanjing University

Metabolic adaptation of cancer cells is a key tactic for maintaining their tumorigenicity and viability in the tumor immune microenvironment （TIME）.Concurrent modulation on the metabolic pathway and immune system could change the living condition of cancer cells and potentiate the efficacy of anticancer drugs.A copper complex （DDCu） was designed to influence the energy metabolism of cancer cells and reshape the *** restrained the production and transportation of lactate by inhibiting the expression of lactate dehydrogenase and monocarboxylate transporter 4,thereby altering the metabolic pathway of cancer cells and improving the acidic tumor ***,DDCu was reduced to Cu+by cellular glutathione to react with lipoylated proteins of the tricarboxylic acid cycle and destabilize the Fe–S cluster proteins,leading to the aggregation of dihydrolipoamide S-acetyltransferase and cuproptosis in cancer ***,DDCu promoted the polarization of macrophages from the M2 to M1 phenotype,activated CD4+and CD8+T cells,and reversed the *** a result,DDCu inhibited the tumor growth through a synergy between metabolic regulation and immunomodulation.

关键词：

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

脂肪酶在麦草漆酶脱木素中的协同作用

中国造纸 2006年第11期25卷 5-8页

作者：尤纪雪连海兰叶汉玲商国晶杜炜南京林业大学江苏南京210037

利用脂肪酶具有降解脂肪和蜡的特性,将漆酶与脂肪酶混合处理麦草,以提高蒸煮药液的渗透性,改善蒸煮性能。结果表明,脂肪酶预处理的最佳工艺条件为:pH值5.5,温度45℃,液比1∶5,时间4 h,酶用量0.7 IU/g;当脂肪酶与漆酶质量比为20∶80时,... 详细信息

利用脂肪酶具有降解脂肪和蜡的特性,将漆酶与脂肪酶混合处理麦草,以提高蒸煮药液的渗透性,改善蒸煮性能。结果表明,脂肪酶预处理的最佳工艺条件为:pH值5.5,温度45℃,液比1∶5,时间4 h,酶用量0.7 IU/g;当脂肪酶与漆酶质量比为20∶80时,预处理后蒸煮结果最佳;与未处理和单独漆酶处理的浆料相比,二者协同处理浆料实际得率分别提高14.1%和2.0%,卡伯值分别降低23.7%和2.9%;与单独漆酶处理的浆料相比,二者协同处理的浆料的裂断长和白度分别提高11.9%和1.7个单位。

关键词：漆酶脂肪酶预处理

Insight into the particle shape on the impact of dry granular flow against a rigid barrier: A DEM study

在线全文

学校读者我要写书评

暂无评论

Journal of Earth Science 2025年

作者： Rui-Xiao Zhan Dong Su Xiang-Sheng Chen Yuan-Jun Jiang guo-Ping Lei jing-jing Yu Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE)， Shenzhen University College of Civil and Transportation Engineering， Shenzhen University School of Architecture and Urban Planning， Shenzhen University Shenzhen Key Laboratory of Green， Efficient and Intelligent Construction of Underground Metro Station， Shenzhen University Institute of Mountain Hazards and Environment， Chinese Academy of Sciences School of Transportation， Civil Engineering & Architecture， Foshan University

The effect of particle shape on the impact of dry granular flow remains an open area for further investigation. Five distinct particle shapes were examined in this study using discrete element simulations after calibrating the numerical model using a published work. The findings indicated that the particle shape had a significant influence on granular mobility. With negligible variations in normalized kinetic energy between particles of different shapes， the effect of particle shape on the increasing rate of kinetic energy became more obvious. All irregular particle scenarios had longer accumulated particle lengths down the channel than spherical particles. Variations in particle shape led to adjustments in the distribution of impact forces on the barrier. These findings substantially enhance our understanding of the distinctive effects of particle shapes on the impact mechanism of dry granular flow.

关键词：

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

基于线性神经网络的谐波检测方法研究

电测与仪表 2014年第22期51卷 40-43页

作者：邢晓敏商国敬徐新东北电力大学电气工程学院吉林吉林132012 国电蚌埠发电有限公司安徽蚌埠233411

在比较了当今多种谐波检测方法的优缺点基础上,提出了基于线性神经网络的谐波检测方法。构造了谐波检测的网络模型,对利用该方法进行谐波检测的原理做了简单的介绍。文中运用最小均方差算法(LMS)调节网络权值W,使得误差指标达到最小值... 详细信息

在比较了当今多种谐波检测方法的优缺点基础上,提出了基于线性神经网络的谐波检测方法。构造了谐波检测的网络模型,对利用该方法进行谐波检测的原理做了简单的介绍。文中运用最小均方差算法(LMS)调节网络权值W,使得误差指标达到最小值。最后构造含有奇次谐波的负载电流函数,利用MATLAB软件分别运用加汉宁窗的快速傅里叶变换(FFT)方法和构造的自适应线性神经网络方法进行仿真实验。通过实验结果表明,基于自适应线性神经网络方法的谐波检测技术具有更好的检测精度。

关键词：谐波谐波检测神经网络 LMS算法