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Mixed-mode fast-slow oscillations in the frequency switching Duffing system with a 1:n frequency ratio

Applied Mathematics and Mechanics(English Edition) 2024年第12期45卷 2131-2146页

作者： Shiping JIANG Xiujing HAN Hailong YU School of Physics Nanjing University of Science&TechnologyNanjing 210094China Faculty of Civil Engineering and Mechanics Jiangsu UniversityZhenjiang 212013Jiangsu ProvinceChina School of Energy and Power Engineering Nanjing University of Science&TechnologyNanjing 210094China

Sliding fast-slow oscillations are interesting oscillation patterns discovered recently in the Duffing system with frequency *** oscillations have been obtained with a fixed 1:2 low frequency ratio in the previous *** present paper aims to explore composite fast-slow dynamics when the frequency ratio is *** a result,a novel route to composite fast-slow dynamics is *** find that,when presented with variable frequency ratios in a 1:n fashion,the sliding fast-slow oscillations may turn into the ones characterized by the fact that the clusters of large-amplitude oscillations of relaxational type are exhibited in each period of the oscillations,and hence the mixedmode fast-slow *** on whether the transition of the trajectory is from the upper subsystem via the fold bifurcation or not,these interesting oscillations are divided into two classes,both of which are investigated *** study shows that,when the frequency ratio n is increased from n=3,newly created boundary equilibrium bifurcation points may appear on the original sliding boundary line,which is divided into smaller parts,showing sliding and downward crossing dynamical *** is the root cause of the clusters,showing large-amplitude oscillations of relaxational type,resulting in the formation of mixed-mode fast-slow ***,a novel route to composite fast-slow dynamics by frequency switching is ***,the effects of the forcing on the mixed-mode fast-slow oscillations are *** magnitude of the forcing frequency may have some effects on the number of large-amplitude oscillations in the *** magnitude of the forcing amplitude determines whether the fast-slow characteristics can be produced.

关键词： sliding fast-slow dynamics mixed-mode fast-slow oscillation fold bifurcation frequency switching Duffing system

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Mobile mini-fluorimeter for antibiotic aptasensing based on surface-plasmonic effect of burlike nanogolds enhanced by digitized imaging diagnosis

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Chinese Chemical Letters 2024年第5期35卷 418-422页

作者： Tiantian Man Fulin Zhu Yaqi Huang Yuhao Piao Yan Su Shengyuan Deng Ying Wan School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China Key Laboratory of Metabolic Engineering and Biosynthesis Technology Ministry of Industry and Information TechnologySchool of Environmental and Biological EngineeringNanjing University of Science and TechnologyNanjing 210094China

Antibiotic abuse now poses a grave threat to global ecology and bestirs public concerns about the residue issue in daily *** traceability measurements along supply chain or logistic circulation have become increasingly essential given the labile nature of diverse synthetic residuals on *** an attempt to answer this urgency,here a miniaturized fluorometric aptasensor prototype was contrived that catered to the point-of-care screening norm for two typical additives:chloramphenicol and *** key target-indicating module worked in vitro based on the competitive binding-induced fluorescence recovery of fluorescein-labeled aptamers,which were photobleached beforehand in the format of double helix on burlike nanogold ***“prickly”geometry of the latter not just enriched the capture probes at preferentially substrate-accessible spires;but also contributed to a tip-enhanced surface plasmon effect,sensitizing the signal-on during the duplex dissociation even at nanomolar threshold of the *** the other hand,to encompass a full portable,a set of optical devices were mounted within a 3D-printed cartridge(adaptor)to converge the light beam and route it towards the detector,for which the smartphone camera came up in handy with a home-developed App for calibrating the emissive *** by the high-dynamic-range compression,an imaging diagnostic algorithm was built in to grid and digitize each slide in the album for augmented detection ***,a novel bio-to-silico integration was invented that capable of in situ rapid reporting on the antibiotic presence with high sensitivity and *** field practices in spiked milk on sales proved the precision and rudimentary feasibility of the well-assembled model of appliance,thus holding nice prospects in nonexpert(e.g.,family and local community)utilities for foodborne antibiotic identification.

关键词： Chloramphenicol and enrofloxacin Aptasensor Gold nanoburs Smartphone fluorimetric suite Digitized image postprocessing

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Constructing core@shell structured photothermal nanosphere with thin carbon layer confined Co-Mn bimetals for pollutant degradation and solar interfacial water evaporation

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Rare Metals 2024年第4期43卷 1686-1701页

作者： Hong-Yang Zhu Meng-Ting Liu Gang Wang Rong-Rong Du Hong-Yao Zhao Hao Lu Shi-Qi Yang Sheng Tang Zeng-Jing Guo Jun Yang Cheng-Zhang Zhu Fu Yang School of Environmental and Chemical Engineering Jiangsu University of Science and TechnologyZhenjiang212003China School of Chemistry and Chemical Engineering Liaocheng UniversityLiaocheng252000China School of Material Science and Engineering Jiangsu University of Science and TechnologyZhenjiang212003China School of Environmental Science and Engineering Nanjing Tech UniversityNanjing210009China

Photothermal material applied in environmental governance has attracted growing *** combining the Stober method and dopamine-triggered coating strategy,Co-Mn precursor was in situ incorporated into the poly dopamine(PDA)layer over the surface of silica ***,a unique photothermal nanosphere with SiO_(2)core and thin carbon layer and dual Co-Mn oxides shell was allowed to form by sequential heat treatment in the inert atmosphere(SiO_(2)@CoMn/C).The bimetallic fraction of Co/Mn in the carbon layer and post-treatment calcination temperature was comprehensively tuned to optimize the peroxymonosulfate(PMS)activation performance of the *** state of bimetallic species was studied including their physical distribution,chemical valence,and interplay by various ***,Co oxides appear as dominant monodispersed nanoparticles(~10 nm),while Mn with cluster-like morphology is observed to uniformly distribute over thin-layer carbon and adhered to the surface of SiO_(2)nanospheres(~250 nm).The calcined temperature could tune the oxidized state of Co species,leading to the optimization of the catalytic performance of introduced dual metal *** a result,this obtained optimal catalyst integrated the advantages of exposed bimetallic CoMn species and N-doped thin carbon to deliver excellent catalytic PMS activation performance and photothermal synergetic catalytic mineralization ability for diversiform *** reactions condition controls and anion interference studies were conducted to identify the adaptability of the optimal ***,the application of solar-driven interfacial water evaporation using optimal SiO_(2)@Co_3Mn_1/C-600 catalyst was explored,showing a high water evaporation rate of 1.48 kg·m^(-2)·h^(-1)and an efficiency of 95.2%,further revealing a comprehensive governance functionality of obtained material in the complex pollution condition.

关键词： Photothermal Peroxymonosulfate(PMS)activation Bimetallic synergy Water evaporation Advanced oxidation process

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Observer-Based Adaptive Fuzzy Control for Singular Systems with Nonlinear Perturbation and Actuator Saturation

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第10期5卷 5090-5099页

作者： Meng, Qingtan Ma, Qian Nanjing University of Science and Technology School of Automation Nanjing210094 China

This article investigates the adaptive fuzzy control problem for singular systems with actuator saturation and nonlinear perturbation, where the system consists of two coupled differential and algebraic subsystems. To cope with the actuator saturation, a new auxiliary system whose order is the same as the differential subsystem is introduced. With the help of the backstepping method and adaptive fuzzy control method, an observer-based adaptive output feedback tracking control approach is utilized. Under the designed controller, it is proved that the closed-loop system is impulse-free and regular, and all the involved signals are bounded. Furthermore, it is ensured that the tracking error can be adjusted by the errors between the control inputs and the corresponding saturated inputs, as well as the design parameters. Finally, simulation studies demonstrate the validity of the control approach. © 2020 IEEE.

关键词： Fuzzy control

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PFHaD: Page Fault Handler Assisted Defense Against Data-Oriented Attacks 3rd

PFHaD: Page Fault Handler Assisted Defense Against Data-Orie...

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3rd International Conference on Advances in Computing Research, ACR 2025

作者： Zhang, Tianning Huang, Hao School of Computer Jiangsu University of Science and Technology Zhenjiang China Department of Computer Science and Technology Nanjing University Nanjing China

ISBN: (纸本)9783031876462

As memory corruption vulnerabilities evolve, attackers have shifted focus from traditional control-flow attacks to non-control data attacks, which manipulate data influencing a program′s behavior without altering its control flow. This shift bypasses conventional defenses like Control Flow Integrity (CFI), posing new security risks. In response, we propose a novel defense mechanism called Page Fault Handler-assisted Defense (PFHaD). PFHaD leverages hardware page faults to protect critical data in memory, providing robust defense against non-control data attacks with minimal performance overhead. Unlike traditional defenses, PFHaD also prevents information leakage by making critical data pages inaccessible. The solution does not require modifications to hardware, compilers, or operating systems, making it ideal for commercial-off-the-shelf (COTS) software. Experimental results demonstrate that PFHaD effectively mitigates a wide range of non-control data attacks while maintaining low performance impact, offering a scalable and efficient solution to modern memory corruption threats. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Program compilers

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Optimal planning for a multi-debris active removal mission with a partial debris capture strategy

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Chinese Journal of Aeronautics 2023年第6期36卷 256-265页

作者： Jia GUO Zhaojun PANG Zhonghua DU School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China

In this paper,a new mission model,called a multi-debris active removal mission with partial debris capture strategy,is *** model assumes that a platform only captures part of the scheduled debris at a time and then releases these debris pieces to a disposal *** process is then repeated until all of the scheduled debris is removed.A genetic algorithm with a multiparameter concatenated coding method is designed to optimize the plan of a multi-debris active removal mission with a partial debris capture strategy.A set of six pieces of debris and a set of 10 pieces of debris are selected to demonstrate the proposed planning *** result confirms the effectiveness of the genetic algorithm with the multi-parameter concatenated coding *** new mission model provides a more comprehensive decision-making framework than the existing mission models and makes it possible to further decrease mission costs.

关键词： Debris capture strategy Genetic algorithm Multi-debris active removal Space debris

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Evolutionary extreme learning machine based on an improved MOPSO algorithm

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Neural Computing and Applications 2025年第12期37卷 7733-7750页

作者： Ling, Qinghua Tan, Kaimin Wang, Yuyan Li, Zexu Liu, Wenkai School of Computer Science Jiangsu University of Science and Technology Zhenjiang212003 China

Extreme learning machine (ELM), as a single hidden layer feedforward neural network (SLFN), has attracted extensive attention because of its fast learning speed and high accuracy. However, the random selection of input weights and hidden biases is the main reason that deteriorates the generalization performance and stability of ELM network. In this study, an improved ELM (IMOPSO-ELM) is proposed to enhance the generalization performance and convergence stability of the SLFN by using a multi-objective particle swarm optimization (MOPSO) to determine the input parameters including input weights and hidden biases of the SLFN. Firstly, different from the traditional improved ELM based on single-objective evolutionary algorithm, the proposed algorithm used MOPSO to optimize the input weights and hidden biases of SLFN by considering the two objectives including accuracy on the validation set and the 2-norm of the SLFN output weights. Secondly, in order to improve the diversity and convergence of the solution set obtained by MOPSO, an improved MOPSO (IMOPSO) is proposed. The improved MOPSO uses a new optimal global particle selection strategy, by randomly dividing the population into several subpopulations, each subpopulation uses different particle information in the external archive to guide the subpopulation update, and uses the external archive set as the platform to share the information between sub-swarms. Finally, the experiment on the four regression problems and four classification problems verifies the effectiveness of the approach in improving ELM generalization performance and performance stability. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Extreme learning machine Generalization performance IMOPSO Performance stability

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A Local Differential Privacy Trajectory Protection Method Based on Temporal and Spatial Restrictions for Staying Detection

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Tsinghua science and technology 2024年第2期29卷 617-633页

作者： Weiqi Zhang Zhenzhen Xie Akshita Maradapu Vera Venkata Sai Qasim Zia Zaobo He Guisheng Yin College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China School of Computer Science and Technology Shandong UniversityQingdao 266237China Department of Computer Science Georgia State UniversityAtlantaGA 30303USA College of Information Science and Technology Jinan UniversityGuangzhou 510632China

The widespread availability of GPS has opened up a whole new market that provides a plethora of location-based ***-based social networks have become very popular as they provide end users like us with several such services utilizing GPS through our ***,when users utilize these services,they inevitably expose personal information such as their ID and sensitive location to the *** to untrustworthy servers and malicious attackers with colossal background knowledge,users'personal information is at risk on these ***,many privacy-preserving solutions for protecting trajectories have significantly decreased utility after *** have come up with a new trajectory privacy protection solution that contraposes the area of interest for ***,Staying Points Detection Method based on Temporal-Spatial Restrictions(SPDM-TSR)is an interest area mining method based on temporal-spatial restrictions,which can clearly distinguish between staying and moving ***,our privacy protection mechanism focuses on the user's areas of interest rather than the entire ***,our proposed mechanism does not rely on third-party service providers and the attackers'background knowledge *** test our models on real datasets,and the results indicate that our proposed algorithm can provide a high standard privacy guarantee as well as data availability.

关键词： local-differential privacy stay points detection trajectory data areas of interest temporal-spatial clustering

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Observer-based motion axis control for hydraulic actuation systems

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Chinese Journal of Aeronautics 2023年第9期36卷 408-415页

作者： Xiaowei YANG Yaowen GE Wenxiang DENG Jianyong YAO School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China

Unknown dynamics including mismatched mechanical dynamics(i.e.,parametric uncertainties,unmodeled friction and external disturbances)and matched actuator dynamics(i.e.,pressure and flow characteristic uncertainties)broadly exist in hydraulic actuation systems(HASs),which can hinder the achievement of high-precision motion axis *** surmount the practical issue,an observer-based control framework with a simple structure and low computation is developed for ***,a simple observer is utilized to estimate mismatched and matched unknown dynamics for feedforward *** combining the backstepping design and adaptive control,an appropriate observer-based composite controller is provided,in which nonlinear feedback terms with updated gains are adopted to further improve the tracking ***,a smooth nonlinear filter is introduced to shun the“explosion of complexity”and attenuate the impact of sensor noise on control *** a result,this synthesized controller is more suitable for practical *** analysis uncovers that the developed controller assures the asymptotic convergence of the tracking *** merits of the proposed approach are validated via comparative experiment results applied in an HAS with an inertial load as well.

关键词： Adaptive control Asymptotic convergence Hydraulic actuation system Sensor noise Unknown dynamics compensation

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Self-supervised Hypergraph Transformer with Alignment and Uniformity for Recommendation

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2024年第3期51卷 292-300页

作者： Yang, XianFeng Liu, Yang School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China School of computer Science and Software Engineering University of Science and Technology Liaoning Anshan China

Graph neural networks have proven their effectiveness for user-item interaction graph collaborative filtering. However, most of the existing recommendation models highly depended on abundant and high-quality datasets and neglected the alignment and uniformity of embedding representation. The noisy and skewed distribution of data from real-world applications is ubiquitous. The alignment and uniformity are crucial for representation learning. In this paper, we propose SHTAU (self-supervised hypergraph transformer with alignment and uniformity for the recommendation) to address the problem. Specifically, we first perform a graph neural network on the user-item interaction graph, then captures the global collaboration relationship between users and items through the hypergraph transformer structure, and use the extracted global information to generate self-supervised signals for data enhancement on the user-item interaction graph to enhance the robustness of the recommendation algorithm. Simultaneously, alignment and uniformity auxiliary task update embeddings from different angles to improve performance. Extensive experiments are conducted on Yelp, Gowalla, MovieLens, Amazon-book and Tmall datasets. The experimental results show that SHTAU has obvious advantages over the baseline methods. © (2024), (International Association of Engineers). All Rights Reserved.

关键词： Alignment

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