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Experimental revival of an unknown state from the past in quantum walks

National science Review 2025年第1期12卷 18-24页

作者： Bingzi Huo Dengke Qu Quan Lin Gaoyan Zhu Lei Xiao Xiang Zhan Peng Xue Beijing Computational Science Research Center School of Physics Southeast University College of Electronic and Information Engineering Shandong University of Science and Technology

The physical process in the macroscopic world unfolds along a single time direction, while the evolution of a quantum system is reversible in principle. How to recover a quantum system to its past state is a complex issue of both fundamental and practical interests. In this article, we experimentally demonstrate a novel method for recovering the state in quantum walks(QWs), also known as full-state revival. Moreover, we observe two other important phenomena in QWs, recurrence and periodicity, via simplifying and repeatedly implementing the scheme, respectively. Our experiments show that obtaining these phenomena requires neither any information of the initial state nor full information of the coin operations. Our work sheds new light on quantum state engineering and recovery, and the initialization of quantum devices based on QWs.

关键词： quantum walk quantum state revival quantum state engineering

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UAV-Assisted Vehicular Communication System Optimization With Aerial Base Station and Intelligent Reflecting Surface

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2023年 1-12页

作者： Wang, Peng Li, Demin Zhang, Yihong Chen, Xuemin College of Information Science and Technology Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Donghua University Shanghai China Department of Engineering Texas Southern University Houston TX USA

Unmanned aerial vehicle (UAV) has recently contributed significantly to vehicle communications, offering promising solutions for enhancing connectivity in modern transportation systems. However, ensuring reliable signal coverage of the UAV and overcoming obstacles that hinder direct communication between vehicles remain challenging. To address these issues, this paper explores the use of the UAV as an aerial base station (ABS) and intelligent reflecting surface (IRS) for enhancing vehicular communication networks. The goal is to maximize the average bit rate of vehicles in both UAV-to-vehicle (U2V) and vehicle-to-vehicle (V2V) communication while ensuring minimum communication rate requirements. To remedy the problem which is formulated as a complex and non-convex optimization, a novel average bit rate algorithm based on alternative optimization (AO) technique is applied. Then a low-complexity linear relaxation method is proposed for scheduling variables, and a closed-form solution to the problem of IRS phase is presented. The trajectory optimization problem is transformed into an approximate convex problem with the help of successive convex approximation (SCA) method. The paper concludes with the proof of convergence and numerical results, demonstrating that our proposed design exhibits better performance than those corresponding baseline schemes. IEEE

关键词： Complex networks

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Cooperative MPC-based Hierarchical Control of Hybrid AC/DC Microgrid 9

Cooperative MPC-based Hierarchical Control of Hybrid AC/DC M...

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9th Asia Conference on Power and Electrical engineering, ACPEE 2024

作者： Wu, Xueyang Shan, Yinghao Yu, Xiangkai Donghua University College of Information Science and Technology China Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Shanghai China

ISBN: (纸本)9798350309638

Focusing on the system with renewable distributed generations, this paper builds the microgrid system for improved electrical power supply. Traditionally, to realize hierarchical control of microgrids, linear control methods are usually adopted. However, they are reported to be not good at tackling complex nonlinear and stochastic problems. Thus, in this paper, more advanced and cooperative methods are proposed. Specifically, model predictive controls (MPCs) are firstly designed for both primary and secondary control levels and AC/DC subgrids. Then a transient function based on the switching control mechanism to alleviate transient deviations when system operation changes is proposed. Finally, a coordinated switching principle for the cooperation of hierarchical control is presented to combine the advantages of MPCs. Comprehensive case studies and comparisons with existing traditional methods have validated the effectiveness of the proposed methods. © 2024 IEEE.

关键词： Model predictive control

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Optimal Scheduling for Shared Energy Storage Users Considering Both Construction and Operation of the Shared Energy Storage Station 9

Optimal Scheduling for Shared Energy Storage Users Consideri...

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9th Asia Conference on Power and Electrical engineering, ACPEE 2024

作者： Xu, Qicheng Shan, Yinghao Wu, Xueyang Wang, Ziping Donghua University College of Information Science and Technology Shanghai China Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Shanghai China

ISBN: (纸本)9798350309638

Shared energy storage is an emerging energy storage system. Optimal scheduling can maximize the resources of shared ESSs, thereby improving economic efficiency. This paper explores the optimal scheduling of electricity consumption behavior among shared energy storage users. Mixed integer linear programming is used to establish the optimal scheduling model, which is divided into two phases: construction and operation of the ESS. The efficacy of the proposed model is further corroborated through the selection of three industrial users based in Jiangsu Province. The analysis demonstrates that optimal scheduling can effectively curtail electricity costs for the users. © 2024 IEEE.

关键词： Integer programming

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A deep learning-based micro-CT image analysis pipeline for nondestructive quantification of the maize kernel internal structure

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植物表型组学（英文） 2025年第1期7卷 225-238页

作者： Juan Wang Si Yang Chuanyu Wang Weiliang Wen Ying Zhang Gui Liu Jingyi Li Xinyu Guo Chunjiang Zhao College of Information Shanghai Ocean UniversityShanghai201306China Information Technology Research Center Beijing Academy of Agriculture and Forestry SciencesBeijing100097China Beijing Key Lab of Digital Plants National Engineering Research Center for Information Technology in AgricultureBeijing100097China Information Technology Research Center Beijing Academy of Agriculture and Forestry SciencesBeijing100097China Beijing Key Lab of Digital Plants National Engineering Research Center for Information Technology in AgricultureBeijing100097China College of Information Shanghai Ocean UniversityShanghai201306China College of Computer Science and Engineering Southwest Minzu UniversityChengduSichuan610225China College of Information Shanghai Ocean UniversityShanghai201306China Information Technology Research Center Beijing Academy of Agriculture and Forestry SciencesBeijing100097China

Identifying and segmenting the vitreous and starchy endosperm of maize kernels is essential for texture ***,the complex internal structure of maize kernels presents several *** CT(computed tomog-raphy)images,the pixel intensity differences between the vitreous and starchy endosperm regions in maize kernel CT images are not distinct,potentially leading to low segmentation accuracy or ***,the blurred edges between the vitreous and starchy endosperm make segmentation difficult,often resulting in jagged segmentation *** propose a deep learning-based CT image analysis pipeline to examine the internal structure of maize ***,CT images are acquired using a multislice CT *** improve the efficiency of maize kernel CT imaging,a batch scanning method is *** kernels are accurately segmented from batch-scanned CT images using the Canny ***,we modify the conventional architecture for high-quality segmentation of the vitreous and starchy endosperm in maize *** conventional U-Net is modified by integrating the CBAM(convolutional block attention module)mechanism in the encoder and the SE(squeeze-and-excitation attention)mechanism in the decoder,as well as by using the focal-Tversky loss function instead of the Dice loss,and the boundary smoothing term is weighted as an additional loss term,named *** experimental results show that the CSFTU-Net model significantly improves the ability of segmenting vitreous and starchy ***,a segmented mask-based method is proposed to extract phenotype parameters of maize kernel texture,including the volume of the kernel(V),volume of the vitreous endosperm(VV),volume of starchy endosperm(SV),and ratios over their respective total kernel volumes(W/V and SV/V).The proposed pipeline facilitates the nondestructive quantification of the internal structure of maize kernels,offering valuable insights for maize breeding and processing.

关键词： Maize kernel Vitreous endosperm Starchy endosperm Semantic segmentation Mirco-CT

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3D-NOD:3D new organ detection in plant growth by a spatiotemporal point cloud deep segmentation framework

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植物表型组学（英文） 2025年第1期7卷 13-24页

作者： Dawei Li Foysal Ahmed Zhanjiang Wang College of Information Sciences and Technology Donghua UniversityShanghai201620China State Key Laboratory of Advanced Fiber Materials(SKLAFM) Donghua UniversityShanghai201620China Engineering Research Center of Digitized Textile & Fashion Technology Ministry of EducationDonghua UniversityShanghai201620China College of Information Sciences and Technology Donghua UniversityShanghai201620China

Automatic plant growth monitoring is an important task in modern agriculture for maintaining high crop yield and boosting the breeding *** advancement of 3D sensing technology has made 3D point clouds to be a better data form on presenting plant growth than images,as the new organs are easier identified in 3D space and the occluded organs in 2D can also be conveniently separated in *** the attractive characteristics,analysis on 3D data can be quite *** present 3D-NOD,a framework to detect new organs from time-series 3D plant data by spatiotemporal point cloud deep semantic *** design of 3D-NOD framework drew inspiration from how a well-experienced human utilizes spatiotemporal information to identify growing buds from a plant at two different growth *** the training phase,by introducing the Backward & Forward La-beling,the Registration & Mix-up,and the Humanoid Data Augmentation step,our backbone network can be trained to recognize growth events with organ correlation from both temporal and spatial *** testing,3D-NOD has shown better sensitivity at segmenting new organs against the conventional way of using a network to conduct direct semantic *** a time-series dataset containing multiple species,Our method reached a mean F1-measure at 88.13％and a mean IoU at 80.68％on detecting both new and old organs with the DGCNN backbone.

关键词： 3D semantic segmentation Growth event detection Point cloud registration Plant phenotyping Deep neural network

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Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 638-648页

作者： Xiaoting Du Lei Zou Maiying Zhong the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China

The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks,utilizing an unknown-input-observer approach within the framework of dynamic event-triggered mechanism(DETM).In order to optimize communication resource utilization,the DETM is employed to determine whether the current measurement data should be transmitted to the estimator or *** guarantee a satisfactory estimation performance for the fault signal,an unknown-input-observer-based estimator is constructed to decouple the estimation error dynamics from the influence of fault *** aim of this paper is to find the suitable estimator parameters under the effects of DETM such that both the state estimates and fault estimates are confined within two sets of closed ellipsoid *** techniques of recursive matrix inequality are applied to derive sufficient conditions for the existence of the desired estimator,ensuring that the specified performance requirements are met under certain ***,the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then ***,a numerical example is conducted to demonstrate the effectiveness of the designed estimator.

关键词： Dynamic event-triggered mechanism(DETM) fault estimation nonlinear time-varying complex networks set-member-ship filtering unknown input observer

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Learning-Based Joint Service Caching and Load Balancing for MEC Blockchain Networks

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China Communications 2023年第1期20卷 125-139页

作者： Wenqian Zhang Wenya Fan Guanglin Zhang Shiwen Mao College of Information Science and Technology Donghua UniversityShanghai 201620China Engineering Research Center of Digitized Textile and Apparel Technology Ministry of EducationShanghai 201620China Department of Electrical and Computer Engineering Auburn UniversityAuburnAL 36849-5201USA

Integrating the blockchain technology into mobile-edge computing(MEC)networks with multiple cooperative MEC servers(MECS)providing a promising solution to improving resource utilization,and helping establish a secure reward mechanism that can facilitate load balancing among *** addition,intelligent management of service caching and load balancing can improve the network utility in MEC blockchain networks with multiple types of *** this paper,we investigate a learningbased joint service caching and load balancing policy for optimizing the communication and computation resources allocation,so as to improve the resource utilization of MEC blockchain *** formulate the problem as a challenging long-term network revenue maximization Markov decision process(MDP)*** address the highly dynamic and high dimension of system states,we design a joint service caching and load balancing algorithm based on the double-dueling Deep Q network(DQN)*** simulation results validate the feasibility and superior performance of our proposed algorithm over several baseline schemes.

关键词： cooperative mobile-edge computing blockchain workload offloading service caching load balancing deep reinforcement learning(DRL)

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Deep Reinforcement Learning Based Joint Partial Computation Offloading and Resource Allocation in Mobility-Aware MEC System

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China Communications 2022年第8期19卷 85-99页

作者： Luyao Wang Guanglin Zhang College of Information Science and Technology Donghua UniversityShanghai 201620China Engineering Research Center of Digitized Textile and Apparel Technology Ministry of EducationShanghai 201620China

Mobile edge computing(MEC)emerges as a paradigm to free mobile devices(MDs)from increasingly dense computing workloads in 6G *** quality of computing experience can be greatly improved by offloading computing tasks from MDs to MEC *** energy harvested by energy harvesting equipments(EHQs)is considered as a promising power supply for users to process and offload *** this paper,we apply the uniform mobility model of MDs to derive a more realistic wireless channel model in a multi-user MEC system with batteries as EHQs to harvest and storage *** investigate an optimization problem of the weighted sum of delay cost and energy cost of MDs in the MEC *** propose an effective joint partial computation offloading and resource allocation(CORA)algorithm which is based on deep reinforcement learning(DRL)to obtain the optimal scheduling without prior knowledge of task arrival,renewable energy arrival as well as channel *** simulation results verify the efficiency of the proposed algorithm,which undoubtedly minimizes the cost of MDs compared with other benchmarks.

关键词： mobile edge computing energy harvesting device-mobility partial computation offloading resource allocation deep reinforcement learning

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Highly effective photocatalytic decomposition of tetracycline and reduction of Cr(Ⅵ) under visible light using Ag/polyoxometalate composite nanomaterials prepared by a mild grinding method

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Tungsten 2025年第2期7卷 243-254页

作者： Qing Lan Su-Juan Jin Ying Liu Xiao-Li Jin Hai-Quan Xie Yu-Zhu Li Ke-Cheng Liu Li Chen Engineering Technology Research Center of Henan Province for Solar Catalysis College of Chemistry and Pharmaceutical EngineeringNanyang Normal University Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui University

With environmental issues gaining increasing attention, the demand for developing economical and reusable catalysts has become increasingly critical. Although precious metal catalysts are eff ective in photocatalytic pollutant decomposition and Cr（Ⅵ） reduction, their high price, instability, and recovery difficulty constrain their application. This study introduces an approach where Ag+ions are exchanged with cations in polyoxometalate（POM） via a mild grinding method, followed by in situ illumination under ultraviolet light to produce Ag/Ag-POM composite nanomaterials. Upon interaction with POM clusters, Ag+ions are reduced to Ag nanoparticles, which enhances visible light absorption in the composite, thereby improving its photocatalytic efficiency. Ag/Ag-POM nanomaterials obtained from this process exhibit efficient and stable catalytic performance, efficiently degrading tetracycline（TC） and reducing hexavalent chromium(Cr（Ⅵ）) under visible light（λ > 420 nm）. Especially, the Ag/AgHPMo11V composite demonstrated superior catalytic performance, achieving degradation efficiencies of 99.9% for 40 mg·L-1TC. Moreover, it also exhibited efficient photoreduction of Cr（Ⅵ）, achieving a reduction rate of 62.81% for 80 mg·L-1Cr（Ⅵ） in a 100 mL solution using just 10 mg of the catalyst within 40 min of visible-light exposure. This research highlights the potential of polyoxometalate-based catalysts in the photocatalytic treatment of pollutants.

关键词： Ag nanoparticles Cr(VI) Photocatalysis Polyoxometalate Tetracycline

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