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Feature Selection for Multi-label Classification Using Neighborhood Preservation

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 320-330页

作者： Zhiling Cai William Zhu laboratory of Granular Computing and AI Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China

Multi-label learning deals with data associated with a set of labels simultaneously. Dimensionality reduction is an important but challenging task in multi-label learning. Feature selection is an efficient technique for dimensionality reduction to search an optimal feature subset preserving the most relevant information. In this paper, we propose an effective feature evaluation criterion for multi-label feature selection, called neighborhood relationship preserving score. This criterion is inspired by similarity preservation, which is widely used in single-label feature selection. It evaluates each feature subset by measuring its capability in preserving neighborhood relationship among samples. Unlike similarity preservation, we address the order of sample similarities which can well express the neighborhood relationship among samples, not just the pairwise sample similarity. With this criterion, we also design one ranking algorithm and one greedy algorithm for feature selection problem. The proposed algorithms are validated in six publicly available data sets from machine learning repository. Experimental results demonstrate their superiorities over the compared state-of-the-art methods.

关键词： Feature selection multi-label learning neighborhood relationship preserving sample similarity

Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track

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Science China(Information Sciences) 2023年第5期66卷 196-214页

作者： Yu WANG Jiaojiao YAN Wei HUANG Leszek RUTKOWSKI Jinde CAO School of Mathematics Southeast University Jiangsu Provincial Key laboratory of Networked Collective Intelligence Southeast University Intelligent Transportation System Research Center Southeast University Systems Research Institute of the Polish Academy of Sciences Institute of Computer Science AGH University of Science and Technology Information Technology Institute University of Social Sciences yonsei frontier Lab Yonsei University

Rutting deformation is typical damage to asphalt pavement and can be quantitatively described as the time-varying mechanical deformation feature of the asphalt mixture during the creep process. First,a nonlinear viscoelastic creep model is established based on the Caputo variable-order fractional *** fractional order in this model is not fixed and is defined as a time-varying function. The time-dependent mechanical properties of asphalt mixtures are efectively reflected. Based on the modified Burgers model, the variable-order function is revised to a linear form. Second, the variable-order fractional Burgers rutting model is obtained by fitting the test data of the RIOHTrack full-scale track. The Levenberg-Marquardt optimization algorithm is used to analyze the test data and the corresponding parameters to obtain more accurate and applicable variable-order fractional rutting mechanics and empirical models for diferent asphalt pavement structures. Finally, according to the classification of the pavement structure, structures III and VI are taken as examples. The rutting prediction and comparison results of several representative pavement structures are obtained to verify that the proposed rutting prediction model can also accurately predict all road sections of RIOHTrack. The new model is also compared with the rutting model of the mechanistic-empirical pavement design guide, the fractional-order Burgers rutting model, and the modified Burgers rutting model. The fitting results are evaluated using the determination coefficient R2. The results show that the variable-order fractional Burgers rutting model proposed in this study exhibits a better fit and is more applicable to describe the rutting deformation of asphalt pavement.

关键词： RIOHTrack full-scale track Caputo fractional derivative variable-order fractional modified Burgers model rutting prediction

A scale-integrated exploration model for orogenic gold deposits based on a mineral system approach

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Geoscience frontiers 2020年第3期11卷 719-738页

作者： David I.Groves M.Santosh Liang Zhang Orebusters Pty Ltd Gwelup6018WAAustralia State Key laboratory of Geological Processes and Mineral Resources China University of Geosciences(Beijing)Beijing100083China Dept.of Earth Sciences University of AdelaideSA5005Australia yonsei frontier Lab Yonsei UniversitySeoul120-749Republic of Korea

Concept-based orogenic gold exploration requires a scale-integrated approach using a robust mineral system *** genetic hypotheses for orogenic gold deposits that involve near-surface or magmatic-hydrothermal fluids are now negated in terms of a global mineral system *** models involve metamorphic fluids,but the fluid source has been *** metamorphic-fluid models are most widely-accepted but there are serious problems for Archean deposits,and numerous Chinese provinces,including Jiaodong,where the only feasible fluid source is *** all orogenic gold deposits define a coherent mineral system,there are only two realistic sources of fluid and gold,based on their syn-mineralization geodynamic *** are from devolatilization of a subducted oceanic slab with its overlying gold-bearing sulfide-rich sedimentary package,or release from mantle lithosphere that was metasomatized and fertilized during a subduction event,particularly adjacent to craton *** this model,CO_2 is generated during decarbonation and S and ore-related elements released from transformation of pyrite to pyrrhotite at about 500 ℃.This orogenic gold mineral system can be applied to conceptual exploration by first identifying the required settings at geodynamic to deposit *** these settings,it is then possible to define the critical gold mineralization processes in the system:fertility,architecture,and *** geological parameters that define these processes,and the geological,geophysical and geochemical proxies and responses for these critical parameters can then be *** the geodynamic to province scales,critical processes include a tectonic thermal engine and deep,effective,fluid plumbing system driven by seismic swarms up lithosphere-scale faults in an oblique-slip regime during uplift late in the orogenic cycle of a convergent *** the district to deposit scale,the important processes are fluid focussing into regio

关键词： Mineral systems Orogenic gold Sub-crustal fluids Convergent margins Gold exploration

SSL-WAEIE:Self-Supervised Learning With Weighted Auto-Encoding and Information Exchange for Infrared and Visible Image Fusion

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1694-1697页

作者： Gucheng Zhang Rencan Nie Jinde Cao the School of Information Science and Engineering Yunnan UniversityKunming 650500China the School of Information Science and Engineering Yunnan UniversityKunming 650500 Yunnan Key laboratory of Intelligent Systems and Computing Kunming 650500and also with the School of AutomationSoutheast UniversityNanjing 210096China the School of Mathematics Southeast UniversityNanjing 210096China yonsei frontier laboratory Yonsei UniversitySeoul 03722South Korea

Dear editor,Infrared and visible image fusion(IVIF)technologies are to extract complementary information from source images and generate a single fused result[1],which is widely applied in various high-level visual ta... 详细信息

关键词： editor SSL Image Exchange

Study of the FCNH Coupling with Boosted Higgs at LHC

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Communications in Theoretical Physics 2019年第9期71卷 1093-1096页

作者： Shou-Shan Bao Institute of frontier and Interdisciplinary Science Key Laboratory of Particle Physics and Particle IrradiationShandong University

We present a study about the flavor changing coupling of the top quark with the Higgs boson through the channe■at *** final states considered for the such process are■.We focus on the boosted region in the phase space of the Higgs *** backgrounds and events are simulated and *** sensitivities for the FCNH couplings are *** is found that it is more sensitive for ytu than ytq at *** upper limits of the FCNH couplings can be set at LHC with 3000 fb-1integrated luminosity as■95%C.L.

关键词： FCNH LHC boosted Higgs new physics beyond SM

An analog of Friedel oscillations in nanoconfined water

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National Science Review 2022年第9期9卷 204-211页

作者： Minmin Xue Zhili Hu Hu Qiu Chun Shen Wanlin Guo Zhuhua Zhang Key laboratory for Intelligent Nano Materials and Devices of Ministry of Education State Key Laboratory of Mechanics and Control of Mechanical Structures and Institute for Frontier Science Nanjing University of Aeronautics and Astronautics

Water confined in nanometer-scale crevices and cavities underpins a wide range of fundamental processes,such as capillary flow,ion transport and protein ***,how water responds within these confined spaces,with prevalent inhomogeneity built in or caused by impurities,is not well ***,we show theoretically that water confined in one-dimensional nano channels with localized perturbation exhibits pronounced density *** oscillations occur vividly like the Friedel oscillations in electron density resulting from defects in metals.A model analysis reveals that the density oscillations result from the perturbation-induced molecular scattering that is augmented by the confinement-enhanced correlation of water *** renders the oscillations a general behavior independent of the channel geometries and specific forms of the *** confinements comparable to biological ion channels,such oscillations can strikingly extend over 10 nm,resulting in non-trivial effects at large distances that,for example,repel all ions from the channels with their long-range *** results deepen the understanding of biological functions and inspire new applications in a variety of domains,such as ionic sensing and seawater desalination.

关键词： ion sieving Friedel oscillations confined water water transport

A highly-selective biomimetic potassium channel

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National Science Review 2024年第8期11卷 187-195页

作者： Junliang Zhu Hu Qiu Wanlin Guo Key laboratory for Intelligent Nano Materials and Devices of the Ministry of Education State Key Laboratory of Mechanics and Control for Aerospace Structures Institute for Frontier ScienceNanjing University of Aeronautics and Astronautics

Reproducing the outstanding selectivity achieved by biological ion channels in artificial channel systems can revolutionize applications ranging from membrane filtration to single-molecule sensing technologies,but achieving this goal remains a ***,inspired by the selectivity filter structure of the KcsA potassium channel,we propose a design of biomimetic potassium nanochannels by functionalizing the wall of carbon nano tubes with an array of arranged carbonyl oxygen *** extensive molecular dynamics simulations show that the biomimetic nanochannel exhibits a high K+permeation rate along with a high K+/Na+selectivity *** free energy calculations suggest that the low Na+permeability is the result of the higher energy barrier for Na+than K+at the channel entrance and ion binding *** addition,reducing the number of ion binding sites leads to an increase in the permeation rate but a decrease in *** findings not only hold promise for the design of high-performance membranes but also help understand the mechanism of selective ion transport in biological ion channels.

关键词： biomimetic design carbon nanotube K+/Na+ selectivity molecular dynamics simulations

Rapid design and screen high strength U-based high-entropy alloys from first-principles calculations

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Journal of Materials Science & Technology 2024年第12期179卷 174-186页

作者： Xingge Xu Hualei Zhang Xiangdong Ding Jun Sun State Key laboratory for Mechanical Behavior of Materials Frontier Institute of Science and TechnologyXi'an Jiaotong UniversityXi'an 710049China

Reducing the exploration of multi-principal element alloy space is a key challenge to design high-performance U-based high-entropy alloy(UHEA).Here,the best combination of multi-principal element can be efficiently acquired because proposed alloying strategy and screening criteria can substantially reduce the space of alloy and thus accelerate alloy design,rather than enormous random combinations through a trial-and-error *** choose the best seed alloy and suitable dopants,the screening criteria include small anisotropy,high specific modulus,high dynamical stability,and high *** therefore find a shortcut to design UHEA from typical binary(UTi and UNb)to ternary(UTiNb),qua-ternary(UTiNbTa),and quinary(UTiNbTaFe).Finally,we find a best bcc senary UHEA(UTiNbTaFeMo),which has highest hardness and yield strength,while maintains good ductility among all the *** to overestimation from empirical strength-hardness relationship,improved strength prediction can be achieved using a parameter-free theory considering volume mismatch and temperature effect on yield *** finding indicates that larger volume mismatch corresponds to higher yield strength,agreeing with the available ***,the dynamical stability and mechanical properties of candidates are greatly enhanced with increasing the number of multi-principal element,indicating the feasibility and effectiveness of adopted alloying *** increasing of multi-principal element cor-responds to the increasing valence electron concentration(VEC).Alternatively,the mechanical properties significantly improve as increasing VEC,agreeing with measurements for other various bcc *** work can speed up research and development of advanced UHEA by greatly reducing the space of alloy composition.

关键词： Ab initio calculations Multi-principal element alloys Elastic properties High hardness Anisotropy Alloy design

Detection and Defense Method Against False Data Injection Attacks for Distributed Load Frequency Control System in Microgrid

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 913-924页

作者： Zhixun Zhang Jianqiang Hu Jianquan Lu Jie Yu Jinde Cao Ardak Kashkynbayev the School of Cyber Science and Engineering Southeast UniversityNanjing 210096China the School of Mathematics Southeast UniversityNanjing 211189China the School of Electronic Information and Electrical Engineering Chengdu UniversityChengdu 610106China the yonsei frontier laboratory Yonsei UniversitySeoul 03722South Korea School of Electrical Engineering Southeast UniversityNanjing 210096China the Department of Mathematics Nazarbayev UniversityNur-Sultan 010000Kazakhstan

In the realm of microgrid(MG),the distributed load frequency control(LFC)system has proven to be highly susceptible to the negative effects of false data injection attacks(FDIAs).Considering the significant responsibility of the distributed LFC system for maintaining frequency stability within the MG,this paper proposes a detection and defense method against unobservable FDIAs in the distributed LFC ***,the method integrates a bi-directional long short-term memory(Bi LSTM)neural network and an improved whale optimization algorithm(IWOA)into the LFC controller to detect and counteract ***,to enable the Bi LSTM neural network to proficiently detect multiple types of FDIAs with utmost precision,the model employs a historical MG dataset comprising the frequency and power ***,the IWOA is utilized to optimize the proportional-integral-derivative(PID)controller parameters to counteract the negative impacts of *** proposed detection and defense method is validated by building the distributed LFC system in Simulink.

关键词： Microgrid load frequency control false data injection attack bi-directional long short-term memory(BiLSTM)neural network improved whale optimization algorithm(IWOA) detection and defense