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Journal of Computational Mathematics 2023年第4期41卷 623-642页

作者： Xiuhui Guo lulu tian Yang Yang Hui Guo College of Science China University of PetroleumQingdao 266580China Department of Mathematical Sciences Michigan Technological UniversityHoughtonMI 49931 The College of Science China University of PetroleumQingdao 266580China

In this paper,we apply local discontinuous Galerkin(LDG)methods for pattern formation dynamical model in polymerizing actin *** are two main dificulties in designing effective numerical *** of all,the density function is non-negative,and zero is an unstable equilibrium ***,negative density values may yield blow-up *** obtain positive numerical approximations,we apply the positivitypreserving(PP)***,the model may contain stif *** most commonly used time integration for the PP technique is the strong-stability-preserving Runge-Kutta ***,for problems with stiff source,such time discretizations may require strictly limited time step sizes,leading to large computational ***,the stiff source any trigger spurious filament polarization,leading to wrong numerical approximations on coarse *** this paper,we combine the PP LDG methods with the semi-implicit Runge-Kutta *** experiments demonstrate that the proposed method can yield accurate numerical approximations with relatively large time steps.

关键词： Pattern formation dynamical model Local discontinuous Galerkin method Positive-preserving technique Semi-implicit Runge-Kutta method Stiff source

Applying Stack Bidirectional LSTM Model to Intrusion Detection

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Computers, Materials & Continua 2020年第10期65卷 309-320页

作者： Ziyong Ran Desheng Zheng Yanling Lai lulu tian School of Computer Science Research Center for Cyber SecuritySouthwest Petroleum UniversityChengdu610500China Brunel University London UxbridgeMiddlesexUB83PHUK

Nowadays,Internet has become an indispensable part of daily life and is used in many *** to the large amount of Internet traffic,computers are subject to various security threats,which may cause serious economic losses and even endanger national *** is hoped that an effective security method can systematically classify intrusion data in order to avoid leakage of important data or misuse of *** machine learning technology matures,deep learning is widely used in various *** deep learning with network security and intrusion detection is the current *** this paper,the problem of data classification in intrusion detection system is *** propose an intrusion detection model based on stack bidirectional long short-term memory(LSTM),introduce stack bidirectional LSTM into the field of intrusion detection and apply it to the intrusion *** order to determine the appropriate parameters and structure of stack bidirectional LSTM network,we have carried out experiments on various network structures and parameters and analyzed the experimental *** classic KDD Cup’1999 dataset was selected for experiments so that we can obtain convincing and comparable *** results derived from the KDD Cup’1999 dataset show that the network with three hidden layers containing 80 LSTM cells is superior to other algorithms in computational cost and detection performance due to stack bidirectional LSTM model’s ability to review time and correlate with connected records *** experiment shows the effectiveness of stack bidirectional LSTM network in intrusion detection.

关键词： Stack bidirectional LSTM KDD Cup’1999 intrusion detection systems machine learning recurrent neural network

Local Discontinuous Galerkin Methods with Decoupled Implicit-Explicit Time Marching for the Growth-Mediated Autochemotactic Pattern Formation Model

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Advances in Applied Mathematics and Mechanics 2024年第1期16卷 208-236页

作者： Hui Wang Hui Guo Jiansong Zhang lulu tian College of Science China University of PetroleumQingdaoShandong 266580China

In this paper,two fully-discrete local discontinuous Galerkin(LDG)methods are applied to the growth-mediated autochemotactic pattern formation model in self-propelling *** numerical methods are linear and decoupled,which greatly improve the computational *** order to resolve the time level mismatch of the discretization process,a special time marching method with high-order accuracy is *** the condition of slight time step constraints,the optimal error estimates of this method are ***,the theoretical results are verified by numerical *** simulations show the patterns of spots,rings,stripes as well as inverted spots because of the interplay of chemotactic drift and growth rate of the cells.

关键词： Local discontinuous Galerkin methods implicit-explicit time-marching scheme error estimate growth-mediated autochemotactic pattern formation model

An Efficient Bar Code Image Recognition Algorithm for Sorting System

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Computers, Materials & Continua 2020年第9期64卷 1885-1895页

作者： Desheng Zheng Ziyong Ran Zhifeng Liu Liang Li lulu tian School of Computer Science Research Center for Cyber SecuritySouthwest Petroleum UniversityChengdu610500China College of Information and Software Engineering UESTCChengdu611731China Brunel University London UxbridgeMiddlesex UB83PHUK

In the sorting system of the production line,the object movement,fixed angle of view,light intensity and other reasons lead to obscure blurred *** results in bar code recognition rate being low and real time being *** at the above problems,a progressive bar code compressed recognition algorithm is ***,assuming that the source image is not tilted,use the direct recognition method to quickly identify the compressed source *** indicates that the compression ratio is improper or the image is ***,the source image is enhanced to identify the source image ***,the inclination of the compressed image is detected by the barcode region recognition method and the source image is corrected to locate the barcode information in the barcode region recognition *** results of multitype image experiments show that the proposed method is improved by 5+times computational efficiency compared with the former methods,and can recognize fuzzy images better.

关键词： Bar code recognition Hough transformation binarization image processing

A local discontinuous Galerkin method for the pattern formation dynamical model in polymerizing action flocks

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Science China Mathematics 2022年第4期65卷 849-868页

作者： lulu tian Xiuhui Guo Hui Guo Maosheng Jiang Yang Yang Jiansong Zhang College of Science China University of PetroleumQingdao266580China Beijing Computational Science Research Center Beijing100193China Department of Mathematics Michigan Technological UniversityHoughtonMI49931USA

In this paper,we apply local discontinuous Galerkin methods to the pattern formation dynamical model in polymerizing action *** error estimates for the density and filament polarization in different norms are *** use a semi-implicit spectral deferred correction time method for time discretization,which allows a relative large time step and avoids computation of a Jacobian *** experiments are presented to verify the theoretical analysis and to show the capability for simulations of action wave formation.

关键词： local discontinuous Galerkin method error estimate pattern formation spectral deferred correction time method

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Aero-Engine Surge Fault Diagnosis Using Deep Neural Network

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Computer Systems Science & Engineering 2022年第7期42卷 351-360页

作者： Kexin Zhang Bin Lin Jixin Chen Xinlong Wu Chao Lu Desheng Zheng lulu tian School of Computer Science Southwest Petroleum UniversityChengdu610500China Sichuan Normal University Chengdu610066China AECC Sichuan Gas Turbine Establishment MianYang621700China Brunel University London UxbridgeMiddlesexUB83PHUnited Kingdom

Deep learning techniques have outstanding performance in feature extraction and modelﬁ*** theﬁeld of aero-engine fault diagnosis,the intro-duction of deep learning technology is of great signiﬁ*** aero-engine is the heart of the aircraft,and its stable operation is the primary guarantee of the *** order to ensure the normal operation of the aircraft,it is necessary to study and diagnose the faults of the *** the many engine fail-ures,the one that occurs more frequently and is more hazardous is the wheeze,which often poses a great threat toﬂight *** the basis of analyzing the mechanism of aero-engine surge,an aero-engine surge fault diagnosis method based on deep learning technology is *** this paper,key sensor data are obtained by analyzing different engine sensor *** aero-engine surge data-set acquisition algorithm(ASDA)is proposed to sample the fault and normal points to generate the training set,validation set and test *** on neural net-work models such as one-dimensional convolutional neural network(1D-CNN),convolutional neural network(RNN),and long-short memory neural network(LSTM),different neural network optimization algorithms are selected to achieve fault diagnosis and classiﬁ*** experimental results show that the deep learning technique has good effect in aero-engine surge fault *** aero-engine surge fault diagnosis network(ASFDN)proposed in this paper achieves better *** training,the network achieves more than 99%classiﬁcation accuracy for the test set.

关键词： Aero-engine fault diagnosis surge vibration signal classiﬁcation deep learning

TaACTIN7-D regulates plant height and grain shape in bread wheat

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Journal of Genetics and Genomics 2023年第11期50卷 895-908页

作者： Xiongtao Li Beilu Cao Dejie Du Long Song lulu tian Xiaoming Xie Zhaoyan Chen Yanpeng Ding Xuejiao Cheng Yingyin Yao Weilong Guo Zhenqi Su Qixin Sun Zhongfu Ni Lingling Chai Jie Liu Frontiers Science Center for Molecular Design Breeding China Agricultural UniversityBeijing 100193China State Key Laboratory for Crop Genetics and Germplasm Enhancement Nanjing Agricultural UniversityNanjingJiangsu 210095China

Exploitation of new gene resources and genetic networks contributing to the control of crop yield-related traits,such as plant height,grain size,and shape,may enable us to breed modern high-yielding wheat varieties through molecular *** this study,via ethylmethanesulfonate mutagenesis,we identify a wheat mutant plant,mu-597,that shows semi-dwarf plant architecture and round grain *** bulked segregant RNA-seq and map-based cloning,the causal gene for the semi-dwarf phenotype of mu-597 is *** find that a single-base mutation in the coding region of TaACTIN7-D(TaACT7-D),leading to a Gly-to-Ser(G65S)amino acid mutation at the 65th residue of the deduced TaACT7-D protein,can explain the semi-dwarfism and round grain shape of *** evidence shows that the G65S mutation in TaACT7-D hinders the polymerization of actin from monomeric(G-actin)to filamentous(F-actin)status while attenuates wheat responses to multiple phytohormones,including brassinosteroids,auxin,and ***,these findings not only define a new semi-dwarfing gene resource that can be potentially used to design plant height and grain shape of bread wheat but also establish a direct link between actin structure modulation and phytohormone signal transduction.

关键词： Wheat(Triticum aestivum L.) Plant height Grain shape TaACT7-D Phytohormone signaling

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英国学位论文数据库建设及其对我国的启示

图书馆工作与研究 2015年第5期 33-35页

作者：田鹭璐中国国家图书馆

从早期文献提供中心(BLDSC)的学位论文建设和服务到如今的电子学位论文在线服务平台(ETHOS),大英图书馆对学位论文数据库的建设和服务作了大量的研究和实践。借鉴该馆的成功经验,采用学位论文资源共建共享集中式建库模式,解决学位论文... 详细信息

从早期文献提供中心(BLDSC)的学位论文建设和服务到如今的电子学位论文在线服务平台(ETHOS),大英图书馆对学位论文数据库的建设和服务作了大量的研究和实践。借鉴该馆的成功经验,采用学位论文资源共建共享集中式建库模式,解决学位论文版权与使用授权问题,对于我国正在建设的中华学位论文数据库有着积极的借鉴意义。

关键词：学位论文数据库大英图书馆文献供应中心电子学位论文在线服务

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培养高层次国际化人才服务国家教育对外开放

比较教育研究 2023年第8期45卷 10-11,3,15页

作者：田露露国家留学基金管理委员会

党的二十大报告提出了“推进高水平对外开放”的战略要求,作为对外开放重要组成部分的教育对外开放,对于促进教育高质量发展、提升中国教育国际影响力,促进深入实施科教兴国战略、人才强国战略、创新驱动发展战略,向世界讲好中国教育故... 详细信息

党的二十大报告提出了“推进高水平对外开放”的战略要求,作为对外开放重要组成部分的教育对外开放,对于促进教育高质量发展、提升中国教育国际影响力,促进深入实施科教兴国战略、人才强国战略、创新驱动发展战略,向世界讲好中国教育故事等发挥着重要作用。“一带一路”倡议的提出,极大提升了包括教育在内的对外开放的广度与深度。

关键词：科教兴国战略教育对外开放国际化人才创新驱动发展战略一带一路人才强国战略国际影响力广度与深度

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Optimal Control of Faulty Spacecraft with Dual Performance Metrics in Compliance with Deorbit State Constraints Utilizing Stackelberg Game

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Optimal Control of Faulty Spacecraft with Dual Performance M...