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Discrete-phase-randomized measurement-device-independent quantum key distribution

Physical Review A 2020年第6期101卷 062325-062325页

作者： Zhu Cao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 00092 China

Measurement-device-independent quantum key distribution removes all detector-side attacks in quantum cryptography, and in the meantime doubles the secure distance. The source side, however, is still vulnerable to various attacks. In particular, the continuous phase randomization assumption on the source side is normally not fulfilled in experimental implementation and may potentially open a loophole. In this work, we first show that indeed there are loopholes for imperfect phase randomization in measurement-device-independent quantum key distribution by providing a concrete attack. Then we propose a discrete-phase-randomized measurement-device-independent quantum key distribution protocol as a solution to close this source-side loophole.

关键词： Quantum communication Quantum cryptography

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A combined computational-fluid-dynamics model and control strategies for perfusion bioreactor systems in tissue engineering

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IFAC-PapersOnLine 2021年第3期54卷 324-329页

作者： Ioana Nascu Daniel Sebastia-Saez Tao Chen Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China Department of Chemical and Process Engineering University of Surrey GU2 7XH Guildford United Kingdom

This work sets the foundations for the design of control algorithms to facilitate manufacturing of a cell growth process using a continuous perfusion bioreactor. The algorithms are designed to work with different types of cell cultures and deal with major disturbances that might appear in the process. Different types of control strategies are designed, implemented and tested. First, a comprehensive mathematical model of convection and diffusion in a perfusion bioreactor, combined with cell growth kinetics, is developed and implemented using Computational Fluid Dynamics. The model describes the spatio-temporal evolution of glucose concentration and cell density within a 3D polymeric scaffold. Since such a model is too complex to be used directly for control studies, a simplified version is used for the design of the controllers. Finally, the performances of the control strategies are validated against the original high-fidelity CFD model, thus closing the loop. The simulations show good performances and satisfactory behavior.

关键词： tissue engineering perfusion bioreactor CFD modeling PID

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A Dynamic Event-Triggered Approach to Multi-Agent Consensus

A Dynamic Event-Triggered Approach to Multi-Agent Consensus

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第三十九届中国控制会议

作者： Xianwei Li Yang Tang Shaoyuan Li Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology

This paper focuses on designing dynamic event-triggered(DET) protocols for consensus control of general linear multi-agent systems(MASs). Design algorithms are constructed for DET protocols with static and adaptive coupling, respectively. The designed event-triggering conditions involve internal dynamic variables that depend on the error information of the system, which provide more flexibility to reduce the number of triggered events than the existing results on linear MASs. The protocol with adaptive coupling is of the fully distributed nature. It is proved that the proposed protocols can ensure consensus and are not Zeno. A numerical example is provided to illustrate the effectiveness and advantages of the designed protocols.

关键词： Multi-agent systems Consensus Dynamic event-triggered(DET) protocol Adaptive coupling

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A Knowledge Base System for Operation optimization: Design and Implementation Practice for the Polyethylene Process

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Engineering 2019年第6期5卷 1041-1048页

作者： Weimin Zhong Chaoyuan Li Xin Peng Feng Wan Xufeng An Zhou Tian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Setting up a knowledge base is a helpful way to optimize the operation of the polyethylene process by improving the performance and the ef ciency of reuse of information and knowledge two critical ele- ments in polyethylene smart manufacturing. In this paper, we propose an overall structure for a knowl- edge base based on practical customer demand and the mechanism of the polyethylene process. First, an ontology of the polyethylene process constructed using the seven-step method is introduced as a carrier for knowledge representation and sharing. Next, a prediction method is presented for the molecular weight distribution (MWD) based on a back propagation (BP) neural network model, by analyzing the relationships between the operating conditions and the parameters of the MWD. Based on this network, a differential evolution algorithm is introduced to optimize the operating conditions by tuning the MWD. Finally, utilizing a MySQL database and the Java programming language, a knowledge base system for the operation optimization of the polyethylene process based on a browser/server framework is realized.

关键词： Ontology Operation optimization Knowledge base system Polyethylene process

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Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition

Cost-Quality Adaptive Active Learning for Chinese Clinical N...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Tingting Cai Yangming Zhou Hong Zheng School of Information Science and Engineering East China University of Science and Technology Shanghai China Ministry of Education Key Laboratory of Advanced Control and Optimization for Chemical Processes China

ISBN: (数字)9781728162157

ISBN: (纸本)9781728162164

Clinical Named Entity Recognition (CNER) aims to automatically identity clinical terminologies in Electronic Health Records (EHRs), which is a fundamental and crucial step for clinical research. To train a high-performance model for CNER, it usually requires a large number of EHRs with high-quality labels. However, labeling EHRs, especially Chinese EHRs, is time-consuming and expensive. One effective solution to this issue is active learning, where a model asks labelers to annotate data which is beneficial to model performance improvement. Conventional active learning assumes a single labeler that always replies noiseless answers to queried labels. However, in real settings, multiple labelers provide diverse quality of annotation with varied cost and labelers with low overall annotation quality can still assign correct labels for some specific instances. In this paper, we propose a Cost-Quality Adaptive Active Learning (CQAAL) approach for CNER in Chinese EHRs, which maintains a balance between the annotation quality, labeling cost and the informativeness of selected instances. Specifically, our proposed CQAAL method selects cost-effective instance-labeler pairs to achieve better annotation quality with lower cost in an adaptive manner. Computational results on the CCKS2017 dataset demonstrate the superiority and effectiveness of CQAAL.

关键词： Annotations Uncertainty Labeling Task analysis Entropy Manuals Neural networks

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Quasi-Synchronization of Heterogeneous Lur'e Networks With Impulsive Feedback control

Quasi-Synchronization of Heterogeneous Lur'e Networks With I...

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第40届中国控制会议

作者： Chongfang Jin Sangli Shi Zhengxin Wang Wangli He Guo-Ping Jiang School of Science Nanjing University of Posts and Telecommunications Jiangsu Engineering Lab for IOT Intelligent Robots (IOTRobot) Nanjing University of Posts and Telecommunications The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology School of Automation Nanjing University of Posts and Telecommunications

The target of this paper is studying the quasi-synchronization problems of the heterogeneous Lur'e networks with impulsive feedback control. By introducing impulsive feedback control, the heterogeneous Lur'e network is analyzed. The sufficient condition for guaranteeing quasi-synchronization is derived by means of linear matrix inequality(LMI), the Schur complement and the principle of comparison. More over, the upper bound of exponential quasi-synchronization errors is further calculated. Finally, the numerical simulations are presented to illustrate the effectiveness of the control protocol and theoretical results.

关键词： Exponential quasi-synchronization Lur'e network Feedback Impulsive control

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A Dynamic Event-Triggered Approach to Multi-Agent Consensus

A Dynamic Event-Triggered Approach to Multi-Agent Consensus

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Chinese control Conference (CCC)

作者： Xianwei Li Yang Tang Shaoyuan Li Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

This paper focuses on designing dynamic event-triggered (DET) protocols for consensus control of general linear multi-agent systems (MASs). Design algorithms are constructed for DET protocols with static and adaptive coupling, respectively. The designed event-triggering conditions involve internal dynamic variables that depend on the error information of the system, which provide more flexibility to reduce the number of triggered events than the existing results on linear MASs. The protocol with adaptive coupling is of the fully distributed nature. It is proved that the proposed protocols can ensure consensus and are not Zeno. A numerical example is provided to illustrate the effectiveness and advantages of the designed protocols.

关键词： Protocols Couplings Laplace equations Multi-agent systems Lyapunov methods Closed loop systems optimization

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Cost-quality adaptive active learning for chinese clinical named entity recognition

arXiv

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arXiv 2020年

作者： Cai, Tingting Zhou, Yangming Zheng, Hong School of Information Science and Engineering East China University of Science and Technology Shanghai200237 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education China

Clinical Named Entity Recognition (CNER) aims to automatically identity clinical terminologies in Electronic Health Records (EHRs), which is a fundamental and crucial step for clinical research. To train a high-performance model for CNER, it usually requires a large number of EHRs with high-quality labels. However, labeling EHRs, especially Chinese EHRs, is time-consuming and expensive. One effective solution to this is active learning, where a model asks labelers to annotate data which the model is uncertain of. Conventional active learning assumes a single labeler that always replies noiseless answers to queried labels. However, in real settings, multiple labelers provide diverse quality of annotation with varied costs and labelers with low overall annotation quality can still assign correct labels for some specific instances. In this paper, we propose a Cost-Quality Adaptive Active Learning (CQAAL) approach for CNER in Chinese EHRs, which maintains a balance between the annotation quality, labeling costs, and the informativeness of selected instances. Specifically, CQAAL selects cost-effective instance-labeler pairs to achieve better annotation quality with lower costs in an adaptive manner. Computational results on the CCKS-2017 Task 2 benchmark dataset demonstrate the superiority and effectiveness of the proposed CQAAL. Copyright © 2020, The Authors. All rights reserved.

关键词： Records management

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Almost Sure Exponential Stability of Altafini Model with Multiplicative Noise for Opinion Dynamics

Almost Sure Exponential Stability of Altafini Model with Mul...

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第三十九届中国控制会议

作者： Fanli Yuan Ying Cui Haili Liang Zhao Zhou Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and AutomationShanghai University Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

In this paper, we investigate the stability analysis of stochastic opinion dynamics in which the agents are interfered by multiplicative noise. We propose a stochastic Altafini model of opinion evolution in signed social networks with multiplicative noise and give the analysis of almost sure exponential stability(ASES). Compared with the deterministic opinion dynamic and stochastic opinion dynamics in additive noise environments, our results concern the effects of the agents' free will, i.e.,multiplicative noise, in signed social networks. We establish a sufficient condition with stochastic multiplicative noise which can guarantee the stochastic system is almost sure exponential stability(ASES) when the parameters of the strength of noise is limited by the conditions. Numerical simulations are given to illustrate the above theoretical results.

关键词： Signed Networks Opinion Dynamics Stability Stochastic Systems

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Effective Resource Allocation in Cooperative Co-evolutionary Algorithm for Large-Scale Fully-Separable Problems

Effective Resource Allocation in Cooperative Co-evolutionary...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Wei Du Le Tong Yang Tang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China The College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai China

ISBN: (数字)9781728185262

ISBN: (纸本)9781728185279

This paper investigates the effective computational resource allocation for large-scale fully-separable problems under the framework of a cooperative co-evolutionary algorithm called MLSoft. According to different subgroup sizes of the problems, we allocate different numbers of iterations to the subproblems in all the cycles. For high-dimensional subproblems, more iterations are needed during the optimization process; while for low-dimensional subproblems, fewer iterations will be assigned. The experimental results reveal that the proposed resource allocation scheme is simple but effective, which can enhance the performance of MLSoft in solving large-scale fully-separable problems. In addition, we conduct a group of experiments to evaluate the results if a higher weight is assigned to more recent performance in MLSoft. The results show that introducing weight to the latest reward affects very little on the performance of MLSoft.

关键词： Adaptive systems Conferences Resource management optimization

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