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Unsupervised feature selection via multiple graph fusion and feature weight learning

Science China(Information Sciences) 2023年第5期66卷 56-72页

作者： Chang TANG Xiao ZHENG Wei ZHANG Xinwang LIU Xinzhong ZHU En ZHU School of Computer Science China University of Geosciences State Key Laboratory for Novel Software Technology Nanjing University School of Computer National University of Defense Technology National Supercomputing Center in Jinan Qilu University of Technology (Shandong Academy of Sciences) College of Mathematics Physics and Information Engineering Zhejiang Normal University

Unsupervised feature selection attempts to select a small number of discriminative features from original high-dimensional data and preserve the intrinsic data structure without using data labels. As an unsupervised learning task, most previous methods often use a coefficient matrix for feature reconstruction or feature projection, and a certain similarity graph is widely utilized to regularize the intrinsic structure preservation of original data in a new feature space. However, a similarity graph with poor quality could inevitably afect the final results. In addition, designing a rational and efective feature reconstruction/projection model is not easy. In this paper, we introduce a novel and efective unsupervised feature selection method via multiple graph fusion and feature weight learning（MGF2WL） to address these issues. Instead of learning the feature coefficient matrix, we directly learn the weights of diferent feature dimensions by introducing a feature weight matrix, and the weighted features are projected into the label space. Aiming to exploit sufficient relation of data samples, we develop a graph fusion term to fuse multiple predefined similarity graphs for learning a unified similarity graph, which is then deployed to regularize the local data structure of original data in a projected label space. Finally, we design a block coordinate descent algorithm with a convergence guarantee to solve the resulting optimization problem. Extensive experiments with sufficient analyses on various datasets are conducted to validate the efficacy of our proposed MGF2WL.

关键词： unsupervised feature selection graph fusion feature weight learning local structure preservation

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Assessment of typhoon storm surge disaster scale based on expansion model

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Journal of Oceanology and Limnology 2023年第2期41卷 518-531页

作者： Guilin LIU Xiuxiu NONG Yi KOU Fang WU Daniel ZHAO Zongbing YU College of Engineering Ocean University of ChinaQingdao 266100China Dornsife College University of Southern CaliforniaLos Angeles CA 90089USA Statistics and Applied Probability University of California Santa BarbaraSanta Barbara CA 93106USA Department of Mathematics Harvard UniversityCambridge MA 02138USA State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116024China

The South China Sea suffers strongly from the typhoon storm surge disasters in China,and its northern coastal areas are facing severe ***,it is necessary and urgent to establish an assessment system for rating typhoon storm surge *** constructed an effective and reliable rating assessment system for typhoon storm surge disaster based on the theories of over-threshold,distribution function family,and composite extreme *** over-threshold sample was used as the basis of data analysis,the composite extreme value expansion model was used to derive the design water increment,and then the disaster level was delineated based on the return period *** results of the extreme value model comparison show that the Weibull-Pareto distribution is more suitable than the classical extreme value distribution for fitting the over-threshold *** results of the return period projection are relatively stable based on different analysis *** the 10 typhoon storm surges as examples,they caused landfall in the Guangdong area in the past 10 *** results of the assessment ranking indicate that the risk levels based on the return period levels obtained from different distributions are generally *** classifying low-risk areas,the classification criteria of the state Oceanic Administration,China(SOA,2012)are more *** the high-risk areas,the results of the assessment ranking based on return period are more consistent with those of the SOA.

关键词： risk classification South China Sea typhoon storm surge extreme value expansion over threshold sampling

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EdgeAuth: An intelligent token-based collaborative authentication scheme

EdgeAuth: An intelligent token-based collaborative authentic...

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作者： Jiang, Xutong Dou, Ruihan He, Qiang Zhang, Xuyun Dou, Wanchun State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Faculty of Mathematics University of Waterloo Waterloo Canada Department of Computer Science and Software Engineering Swinburne University of Technology Melbourne Australia Department of Computing Macquarie University Sydney Australia College of Big Data and Intelligent Engineering Southwest Forestry University China

Edge computing is regarded as an extension of cloud computing that brings computing and storage resources to the network edge. For some Industrial Internet of Things (IIoT) applications such as supply-chain supervision and collaboration, Internet of Vehicles, real-time video analysis and so forth, users should be authenticated before visiting the geographically distributed edge servers. Limited by the considerable latency between the cloud and edge servers, and the limited capacity of edge servers, it is infeasible to copy the authentication method from cloud servers when users are authenticated in edge servers. In view of this challenge, this paper proposes a novel token-based authentication scheme, named EdgeAuth, that enables fast edge user authentication through collaboration among cloud servers and edge servers. Under the EdgeAuth scheme, edge servers can rapidly verify the credentials of users who have been authenticated by the cloud server. EdgeAuth can also protect users from a series of authentication attacks, for example, the replay attack, DoS attack and man-in-the-middle attack. The results of experiments conducted on a simulated edge computing environment validate the usefulness of EdgeAuth through a comparison in latency and throughput against two baseline schemes. © 2023 John Wiley & Sons Ltd.

关键词： Authentication

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CONSTRUCTION OF CUBATURE FORMULAS VIA BIVARIATE QUADRATIC SPLINE SPACES OVER NON-UNIFORM TYPE-2 TRIANGULATION

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Journal of Computational mathematics 2022年第2期40卷 205-230页

作者： Jiang Qian Xiquan Shi Jinming Wu Dianxuan Gong College of Science Hohai UniversityNanjing 211100China Key Laboratory of Coastal Disaster and Defence(Hohai University) Ministry of EducationNanjing 210098China Division of Physics EngineeringMathematicsand Computer ScienceDelaware State UniversityDoverDE 19901USA Statistics and Mathematics Institute Zhejiang Gongshang UniversityHangzhou 310018China College of Science North China University of Science and TechnologyTangshan 063210China

In this paper,matrix representations of the best spline quasi-interpolating operator over triangular sub-domains in S_(2)^(1)(△_(mn)^(2),and coefficients of splines in terms of B-net are calculated ***,by means of coefficients in terms of B-net,computation of bivariate numerical cubature over triangular sub-domains with respect to variables x and y is transferred into summation of coefficients of splines in terms of *** concise bivariate cubature formulas are constructed over rectangular ***,by means of module of continuity and max-norms,error estimates for cubature formulas are derived over both sub-domains and the domain.

关键词： Multivariate spline Bivariate cubature Conformality of Smoothing Cofactor Method B-net Non-uniform Type-2 Triangulation

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Secrecy Performance Analysis of Artificial Noise Assisted Secure Transmission for MISO systems with Multiple Eavesdroppers

Secrecy Performance Analysis of Artificial Noise Assisted Se...

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2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

作者： Xu, Panpan Tan, Weijie Niu, Kun Li, Zhen Peng, Changgen School of Mathematics and Statistics Guizhou University Guiyang China Key Laboratory of Advanced Manufacturing Technology of Ministry of Education Guizhou China Guizhou Big Data Academy Guizhou University Guiyang China College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang China College of Big Data and Information Engineering Guizhou University Guiyang China

ISBN: (纸本)9798350316728

In the paper, we investigate the secure communication of multiple-input single-output (MISO) systems with multiple eavesdroppers. We jointly design the beamforming (BF) and the artificial noise (AN) in MISO systems with multiple eavesdroppers to enhance the secrecy rate. Furthermore, under the secrecy interrupt constraint, we obtain the calculation formulas of the secrecy interrupt probability and the optimal secrecy rate. The simulation results demonstrate that AN with a higher dimension can effectively obstruct eavesdroppers and enhance the system's optimal secrecy rate. In addition, it is proved that the 1/4 full-dimension AN's secrecy rate close to that of the full-dimension AN in the system with multiple eavesdroppers, allowing the trade-off between system secrecy performance and artificial noise design complexity to be realized. © 2023 IEEE.

关键词： Economic and social effects

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An Improved Weighted Differential Evolution Algorithm Based on the Chaotic Mapping and Dynamic Reverse Learning Strategy 4

An Improved Weighted Differential Evolution Algorithm Based ...

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2022 4th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2022

作者： Wu, Fengbin Li, Shaobo Zhang, Junxing Lv, Dongchao Wu, Xuefang Li, Menghan State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang550025 China College of Mechanical Engineering Guizhou University Guiyang550025 China College of Mathematics and Statistics Guizhou University Guiyang550025 China

The weighted differential evolution algorithm has the disadvantage of slipping into local optima and low convergence. To address these problems, an extended weighted differential evolution algorithm based on the chaotic mapping and optimal-worst dynamic opposite learning strategy is proposed. Firstly, the chaotic sequence generated by improved one-dimensional Logistic-Chebyshev mapping is employed to modify the starting population generated uniformly within the original algorithm, which aids in broadening the richness of the population. Secondly, to augment the probability of obtaining global optimum, an optimal-worst dynamic reverse learning strategy is used. Finally, a new evolutionary step size generation method is incorporated into the algorithm, which helps to acquire better solutions. The experimental outcomes obtained by testing 10 benchmark functions in CEC 2020 indicate that the proposed method has been greatly improved in accuracy. © Published under licence by IOP Publishing Ltd.

关键词： Optimization

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Testing the unified bounds of the quantum speed limit

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Physical Review A 2024年第4期110卷 042215页

作者： Yaozu Wu Jiale Yuan Chuanyu Zhang Zitian Zhu Jinfeng Deng Xu Zhang Pengfei Zhang Qiujiang Guo Zhen Wang Jiehui Huang Chao Song Hekang Li Da-Wei Wang H. Wang Girish S. Agarwal Zhejiang Key Laboratory of Micro-nano Quantum Chips and Quantum Control School of Physics and State Key Laboratory for Extreme Photonics and Instrumentation Hangzhou Global Scientific and Technological Innovation Center Hangzhou 311215 China School of Mathematics Physics and Statistics College of Optical Science and Engineering Institute for Quantum Science and Engineering Departments of Biological and Agricultural Engineering Physics and Astronomy

Quantum speed limits (QSLs) impose fundamental constraints on the evolution speed of quantum systems. For systems with time-independent Hamiltonians, the QSLs are intricately linked to the energy spectra of the initial state, which signify the generalization of the time-energy uncertainty relation. Based on arbitrary-order norms of the Hamiltonian, dual energies from inverted spectra, and the standard deviation of energy, different types of QSLs have been proposed, revealing three dynamical parameter regimes of quantum state evolution. Despite the theoretical advancements, a comprehensive experimental examination remains elusive. In this research, by introducing unified bounds suitable for all evolution times, we present the experimental verification to the QSLs in various scenarios with a superconducting circuit. We explore the dynamical evolution with regard to each parameter regime as well as the critical point by carefully engineering the initial-state population of the superconducting resonator. We test our unified bounds over finite-level states and infinite-level classical and nonclassical Gaussian states, which validates the criteria for the QSLs. Our work substantially deepens our comprehension of unitary quantum evolution.

关键词： Circuit quantum electrodynamics Quantum correlations, foundations & formalism Quantum foundations Quantum optics

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Computational simulations of radiative magnetic micropolar nanofluid flow on curved surface: carbon nanotubes and heat transfer

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International Journal of Ambient Energy 2024年第1期45卷

作者： Farooq, Umar Liu, Tao Alshamrani, Ali Rafique, Khadija State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou China Department of Mechanical Engineering College of Engineering Taif University Taif Saudi Arabia Department of Mathematics and Statistics Hazara University Mansehra Pakistan

The thermal properties of nanofluids are crucial across various industries, particularly for efficient heat dissipation, which is key to optimising performance. This study examines the heat transfer characteristics of a steady, two-dimensional radiative flow of blood-containing carbon nanotube particles along a curved, stretched surface. The analysis emphasises the behaviour of a magnetised micropolar nanofluid, favouring hybrid nanofluid flow over an extended, curved surface. A mathematical formulation for the flow equations is developed using curvilinear coordinates. The non-similarity method reduces the governing partial differential equations to nonlinear ordinary differential equations. These are solved numerically using the BVP4C solver, which applies a three-stage Lobatto method. Results for the skin friction coefficient and local Nusselt number are presented in tabular form. The study reveals that the temperature profile increases with higher values of magnetic field, Eckert numbers, radiation, and heat source parameters. As the heat source (Q) increases, the Nusselt number for SWCNT + Blood increases. As Q increases from 0.5 to 1.0, the Nusselt number increases by 12.16%;from Q = 1.0 to Q = 1.5 increases by 7.84%, and from Q = 1.5 to Q = 2.0 increases by 7.40%. For SWCNT + MWCNT + Blood, the Nusselt number also rises by around 5.10%, 4.42% and 4.43%. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Nusselt number

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Bayesian estimation-based sentiment word embedding model for sentiment analysis

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CAAI Transactions on Intelligence Technology 2022年第2期7卷 144-155页

作者： Jingyao Tang Yun Xue Ziwen Wang Shaoyang Hu Tao Gong Yinong Chen Haoliang Zhao Luwei Xiao Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials School of Physics and Telecommunication EngineeringSouth China Normal UniversityGuangzhouChina College of Mathematics and Informatics&College of Software Engineering South China Agricultural UniversityGuangzhouChina School of Foreign Languages Zhejiang University of Finance&EconomicsHangzhouZhejiangChina Educational Testing Service PrincetonNew JerseyUSA School of Computing Informatics and Decision Systems EngineeringArizona State UniversityTempeUSA

Sentiment word embedding has been extensively studied and used in sentiment analysis ***,most existing models have failed to differentiate high-frequency and low-frequency ***,the sentiment information of low-frequency words is insufficiently captured,thus resulting in inaccurate sentiment word embedding and degradation of overall performance of sentiment analysis.A Bayesian estimation-based sentiment word embedding(BESWE)model,which aims to precisely extract the sentiment information of low-frequency words,has been *** the model,a Bayesian estimator is constructed based on the co-occurrence probabilities and sentiment proba-bilities of words,and a novel loss function is defined for sentiment word embedding *** experimental results based on the sentiment lexicons and Movie Review dataset show that BESWE outperforms many state-of-the-art methods,for example,C&W,CBOW,GloVe,SE-HyRank and DLJT1,in sentiment analysis tasks,which demonstrate that Bayesian estimation can effectively capture the sentiment information of low-frequency words and integrate the sentiment information into the word embedding through the loss *** addition,replacing the embedding of low-frequency words in the state-of-the-art methods with BESWE can significantly improve the performance of those methods in sentiment analysis tasks.

关键词： function embedding estimation

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Accelerating Asteroidal Period and Pole Inversion from Multiple Lightcurves Using Parallel Differential Evolution and Cellinoid Shape Model

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Research in Astronomy and Astrophysics 2024年第4期24卷 271-286页

作者： Yong-Xiong Zhang Wen-Xiu Guo Xiao-Ping Lu Hua Zheng Hai-Bin Zhao Jun Tian Wei-Lin Wang School of Engineering Guangzhou College of Technology and BusinessGuangzhou 510850China School of Computer Science and Engineering Macao University of Science and TechnologyTaipaMacao 999078China School of Mathematics and Statistics Shaoguan UniversityShaoguan 512099China State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao 999078China Key Laboratory of Planetary Sciences Purple Mountain ObservatoryCASNanjing 210023China

Determining asteroid properties provides valuable physical insights but inverting them from photometric lightcurves remains computationally *** paper presents a new approach that combines a simplified Cellinoid shape model with the Parallel Differential Evolution(PDE)algorithm to accelerate *** PDE algorithm is more efficient than the Differential Evolution algorithm,achieving an extraordinary speedup of 37.983 with 64 workers on multicore *** PDE algorithm accurately derives period and pole values from simulated *** analysis of real asteroid lightcurves validates the method’s reliability:in comparison with results published elsewhere,the PDE algorithm accurately recovers the rotational periods and,given adequate viewing geometries,closely matches the pole *** PDE approach converges to solutions within 20,000 iterations and under one hour,demonstrating its potential for large-scale data *** work provides a promising new tool for unveiling asteroid physical properties by overcoming key computational bottlenecks.

关键词： methods:numerical minor planets asteroids:general techniques:photometric astrom

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