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Preparation,characterization and catalytic behavior of hierachically porous CuO/α-Fe_2O_3/SiO_2 composite material for CO and o-DCB oxidation

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Journal of Natural Gas Chemistry 2011年第6期20卷 618-622页

作者： Xiaodong Ma Xi Feng Xuan He Hongwen Guo Lu Lu Key Laboratory of Environmental Pollution Process and Standard Ministry of Education Tianjin Key Laboratory of Environmental Remediation and Pollution Control College of Environmental Science and Engineering Nankai University Tianjin 300071 China

Hierachically porous （HP） CuO/α-Fe2O3/SiO2 composite material was fabricated by sol-gel method and multi-hydrothermal processes using HP-SiO2 as *** resulting material was characterized by N2 adsorption-desorption,X-ray diffraction and scanning electron *** as-prepared CuO/Fe2O3/HP-SiO2 sample,with α-Fe2O3 and CuO nanocrystals,possessed a co-continuous skeleton,through-macroporous and mesoporous *** catalytic behavior for CO and o-DCB oxidation was *** result showed that CuO/Fe2O3/HP-SiO2 catalyst exhibited high catalytic activity for both CO and o-DCB oxidation,indicating its potential application in combined abatement of CO and chlorinated volatile organic compounds.

关键词： CO and o-DCB oxidation hierachically porous CuO/α-Fe2O3/HP-SiO2 monolith

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Coverage-optimization based guidance of mobile agents for improved control of distributed parameter systems

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Journal of Systems engineering and Electronics 2019年第3期30卷 601-612页

作者： ZHUANG Bo CUI Baotong WU Wei JIANG Zhengxian School of Internet of Things Engineering Jiangnan University Wuxi 214122 China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Wuxi 214122 China

The control problem of a class of parabolic distributed parameter systems (DPSs) is investigated by using mobile agents with capabilities of sensing and actuating. The guidance strategies of mobile agents based on coverage optimization methods are proposed to improve the control performance of the system and make the state norm of the system converge to zero faster. The coverage optimization problems are constructed based on the measurement of each agent. By solving the coverage optimization problems, the local optimal moving direction of each agent can be obtained. Then the gradient-based agent motion control laws are established. With the indicator function and the surface delta function, this method is generalized to n-dimensional space, and suitable for any sensing region with piecewise smooth boundaries. The stability and control performance of the system are analyzed. Numerical simulations show the effectiveness of the proposed methods.

关键词： distributed parameter systems (DPSs) mobile agents coverage optimization indicator function

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Distributed Constrained Online Nonconvex Optimization with Compressed Communication

arXiv

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arXiv 2025年

作者： Zhang, Kunpeng Xu, Lei Yi, Xinlei Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Department of Mechanical Engineering University of Victoria VictoriaBCV8W 2Y2 Canada Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Shanghai201210 China Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen GroningenAG 9747 Netherlands Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Digital Futures Stockholm10044 Sweden

This paper considers distributed online nonconvex optimization with time-varying inequality constraints over a network of agents. For a time-varying graph, we propose a distributed online primal–dual algorithm with compressed communication to efficiently utilize communication resources. We show that the proposed algorithm establishes an O(T max{1−θ1,θ1}) network regret bound and an O(T 1−θ1/2) network cumulative constraint violation bound, where T is the number of iterations and θ1 ∈ (0, 1) is a user-defined trade-off parameter. When Slater’s condition holds (i.e, there is a point that strictly satisfies the inequality constraints at all iterations), the network cumulative constraint violation bound is reduced to O(T 1−θ1). These bounds are comparable to the state-of-the-art results established by existing distributed online algorithms with perfect communication for distributed online convex optimization with (time-varying) inequality constraints. Finally, a simulation example is presented to validate the theoretical results. Copyright © 2025, The Authors. All rights reserved.

关键词： Convex optimization

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Constrained Optimization with Decision-Dependent Distributions

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IEEE Transactions on Automatic control 2025年

作者： Wang, Zifan Liu, Changxin Parisini, Thomas Zavlanos, Michael M. Johansson, Karl H. KTH Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Sweden Digital Futures StockholmSE-10044 Sweden East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China Imperial College London Department of Electrical and Electronic Engineering LondonSW7 2AZ United Kingdom Aalborg University Department of Electronic Systems Denmark University of Trieste Department of Engineering and Architecture Italy Duke University Department of Mechanical Engineering and Materials Science DurhamNC United States

In this paper we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems with decision-dependent distributions has assumed either the absence of constraints or fixed constraints. This work considers a more general setting where the constraints can also dynamically adjust in response to changes in the decision variables. Specifically, we consider linear constraints and analyze the effect of decision-dependent distributions in both the objective function and constraints. Firstly, we establish a sufficient condition for the existence of a constrained equilibrium point, at which the distributions remain invariant under retraining. Moreover, we propose and analyze two algorithms: repeated constrained optimization and repeated dual ascent. For each algorithm, we provide sufficient conditions for convergence to the constrained equilibrium point. Furthermore, we explore the relationship between the equilibrium point and the optimal point for the constrained decision-dependent optimization problem. Notably, our results encompass previous findings as special cases when the constraints remain fixed. To show the effectiveness of our theoretical analysis, we provide numerical experiments on both a market problem and a dynamic pricing problem for parking based on real-world data. © 1963-2012 IEEE.

关键词： Optimization algorithms

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Boundary-guided distillation with uncertainty-driven temperature for incomplete multimodal learning

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Knowledge-Based Systems 2025年 323卷

作者： Yiye Xu Ying Chen Linbo Xie The Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi 214026 Jiangsu China The Engineering Research Center of Internet of Things Technology Applications (Ministry of Education) Jiangnan University Wuxi 214026 Jiangsu China

In practical multimodal tasks, missing modality data or imbalanced modalities due to challenges in data acquisition have drawn significant attention, as they often lead to a substantial decline in model performance. Recent studies have focused on addressing this problem by learning specific feature representations from different modality combinations or knowledge transfer. However, the modality feature diversity, which determines the model’s ability to characterize decision boundaries and learn robust feature mappings, is usually overlooked during the transfer. To address the problem, a novel method called boundary-guided distillation (BGD) with uncertainty-driven temperature for incomplete multimodal learning is proposed, in which the modal features are diversified by pushing feature vectors toward decision boundaries in the latent feature distribution space through adversarial attack. Based on the enriched modality features, an uncertainty-driven knowledge distillation strategy is designed after theoretical analysis to align the logical ability of the full modality model (teacher) and any incomplete modality model (student), enhancing modal information transfer and reducing prediction errors under missing modality conditions. Extensive experiments on multimodal classification and segmentation tasks demonstrate the effectiveness of BGD, achieving an average accuracy improvement of 1.06% on classification datasets and 1.09% on segmentation datasets.

关键词： Image segmentation

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Circular Formation Flight control for Unmanned Aerial Vehicles With Directed Network and External Disturbance

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IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 505-516页

作者： Yangyang Chen Rui Yu Ya Zhang Chenglin Liu School of Automation and Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096China School of Automation Southeast UniversityNanjing 210096China Key Laboratory of Advanced Process Control for Light Industry Ministry of EducationInstitute of AutomationJiangnan UniversityWuxi 214122China

This paper proposes a new distributed formation flight protocol for unmanned aerial vehicles(UAVs)to perform coordinated circular tracking around a set of circles on a target *** from the previous results limited in bidirectional networks and disturbance-free motions,this paper handles the circular formation flight control problem with both directed network and spatiotemporal disturbance with the knowledge of its upper *** from the design of a common Lyapunov fiunction for bidirectional cases,we separately design the control for the circular tracking subsystem and the formation keeping subsystem with the circular tracking error as *** the whole control system is regarded as a cascade connection of these two subsystems,which is proved to be stable by input-tostate stability(ISS)*** the purpose of encountering the external disturbance,the backstepping technology is introduced to design the control inputs of each UAV pointing to North and Down along the special sphere(say,the circular tracking control algorithm)with the help of the switching ***,the distributed linear consensus protocol integrated with anther switching anti-interference item is developed to construct the control input of each UAV pointing to east along the special sphere(say,the formation keeping control law)for formation *** validity of the proposed control law is proved both in the rigorous theory and through numerical simulations.

关键词： Directed network external disturbance flight control unmanned aerial vehicles(UAVs)

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An effective discrete artificial bee colony algorithm for flow shop scheduling problem with intermediate buffers

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Journal of Central South University 2015年第9期22卷 3471-3484页

作者：张素君顾幸生 School of Mechanical and Electrical Engineering Henan Institute of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology

An effective discrete artificial bee colony(DABC) algorithm is proposed for the flow shop scheduling problem with intermediate buffers(IBFSP) in order to minimize the maximum completion time(i.e makespan). The effective combination of the insertion and swap operator is applied to producing neighborhood individual at the employed bee phase. The tournament selection is adopted to avoid falling into local optima, while, the optimized insert operator embeds in onlooker bee phase for further searching the neighborhood solution to enhance the local search ability of algorithm. The tournament selection with size 2 is again applied and a better selected solution will be performed destruction and construction of iterated greedy(IG) algorithm, and then the result replaces the worse one. Simulation results show that our algorithm has a better performance compared with the HDDE and CHS which were proposed recently. It provides the better known solutions for the makespan criterion to flow shop scheduling problem with limited buffers for the Car benchmark by Carlier and Rec benchmark by Reeves. The convergence curves show that the algorithm not only has faster convergence speed but also has better convergence value.

关键词： discrete artificial bee colony algorithm flow shop scheduling problem with intermediate buffers destruction and construction tournament selection

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Electron-leakage-related low-temperature light emission efficiency behavior in GaN-based blue light-emitting diodes

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Journal of Semiconductors 2014年第4期35卷 83-86页

作者：闫大为李丽莎任舰王福学杨国锋肖少庆顾晓峰 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Department of Electronic Engineering Jiangnan University Department of Science Jiangnan University

The typical light emission efficiency behaviors of InGaN/GaN multi-quantum well （MQW） blue light- emitting diodes （LEDs） grown on c-plane sapphire substrates are characterized by pulsed current operation mode in the temperature range 40 to 300 K. At temperatures lower than 80 K, the emission efficiency of the LEDs decreases approximately as an inverse square root relationship with drive current. We use an electron leakage model to explain such efficiency droop behavior; that is, the excess electron leakage into the p-side of the LEDs under high forward bias will significantly reduce the injection possibility of holes into the active layer, which in turn leads to a rapid reduction in the radiative recombination efficiency in the MQWs. Combining the electron leakage model and the quasi-neutrality principle in the p-type region, we can readily derive the inverse square root dependent function between the light emission efficiency and the drive current. It appears that the excess electron leakage into the p-type side of the LEDs is primarily responsible for the low-temperature efficiency droop behavior.

关键词： gallium nitride light-emitting diode emission efficiency electron leakage

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Microfluidics-based label-free SERS profiling of exosomes with machine learning for osteosarcoma diagnosis

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Talanta 2025年 294卷 128276页

作者： Jin, Ying Zhang, Junjie Wu, Xinyi Qu, Cheng Fang, Xingru Yang, Yi Yuan, Yue Liu, Honglin Han, Zhenzhen Department of Immunology School of Basic Medical Sciences Anhui Medical University Hefei230032 China China Light Industry Key Laboratory of Meat Microbial Control and Utilization School of Food and Biological Engineering Engineering Research Center of Bio-process Ministry of Education Hefei University of Technology Hefei230009 China ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou311200 China Anhui Hefei230051 China

Osteosarcoma (OS) calls for early diagnosis to significantly improve patient survival rates. Exosomes hold significant potential as noninvasive biomarkers for the early diagnosis of cancer. Here, we design a microfluidic device to purify and analyze plasma-derived exosomes by label-free surface-enhanced Raman spectroscopy (SERS) profiling for OS diagnosis. Exosomes were isolated, purified, and enriched using a size-dependent microfluidic chip with tangential flow filtration, achieving a high recovery rate of 82 %. The isolated exosomes were then analyzed by label-free SERS using a nanoarray chip with self-assembly monolayers of gold nanoparticles (GNPs). Exosomes originating from different OS cell types were differentiated based on the intrinsic SERS signals. Our approach was further employed to analyze the plasma-derived exosomes from healthy donors and OS patients without the need for specific biomarker labeling. A machine learning-based diagnostic model for OS was constructed, achieving an accuracy of 93 %. The findings indicate that our method is valuable for noninvasive and precise diagnosis of OS and could be generalized to other diseases in the future. © 2025 Elsevier B.V.

关键词： Microfluidic chips

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Temperature-dependent efficiency droop behaviors of GaN-based green light-emitting diodes

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Chinese Physics B 2013年第4期22卷 500-503页

作者：江蓉陆海陈敦军任芳芳闫大为张荣郑有炓 Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials and School of Electronic Science and Engineering Nanjing University Key Laboratory of Advanced Process Control of the Light Industry (Ministry of Education) Department of Electronic Engineering Jiangnan University

The efficiency droop behaviors of GaN-based green light-emitting diodes （LEDs） are studied as a function of temperature from 300 K to 480 K. The overall quantum efficiency of the green LEDs is found to degrade as temperature increases, which is mainly caused by activation of new non-radiative recombination centers within the LED active layer. Meanwhile, the external quantum efficiency of the green LEDs starts to decrease at low injection current level （1 A/cm2 ） with a temperature-insensitive peak-efficiency-current. In contrast, the peak-efficiency-current of a control GaN-based blue LED shows continuous up-shift at higher temperatures. Around the onset point of efficiency droop, the electroluminescence spectra of the green LEDs also exhibit a monotonic blue-shift of peak energy and a reduction of full width at half maximum as injection current increases. Carrier delocalization is believed to play an important role in causing the efficiency droop in GaN-based green LEDs.

关键词： GaN green light-emitting diode efficiency droop electroluminescence

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