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Experimental Demonstration of High-Rate Measurement-Device-Independent Quantum Key Distribution over Asymmetric Channels

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Physical Review Letters 2019年第16期122卷 160501-160501页

作者： Hui Liu Wenyuan Wang Kejin Wei Xiao-Tian Fang Li Li Nai-Le Liu Hao Liang Si-Jie Zhang Weijun Zhang Hao Li Lixing You Zhen Wang Hoi-Kwong Lo Teng-Yun Chen Feihu Xu Jian-Wei Pan Shanghai Branch Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of China Shanghai 201315 China CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai 201315 People’s Republic of China Centre for Quantum Information and Quantum Control (CQIQC) Department of Electrical & Computer Engineering and Department of Physics University of Toronto Toronto Ontario M5S 3G4 Canada State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China

Measurement-device-independent quantum key distribution (MDI-QKD) can eliminate all detector side channels and it is practical with current technology. Previous implementations of MDI-QKD all used two symmetric channels with similar losses. However, the secret key rate is severely limited when different channels have different losses. Here we report the results of the first high-rate MDI-QKD experiment over asymmetric channels. By using the recent 7-intensity optimization approach, we demonstrate>10×higher key rate than the previous best-known protocols for MDI-QKD in the situation of large channel asymmetry, and extend the secure transmission distance by more than 20–50 km in standard telecom fiber. The results have moved MDI-QKD towards widespread applications in practical network settings, where the channel losses are asymmetric and user nodes could be dynamically added or deleted.

关键词： Quantum cryptography Quantum networks

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Formative assessment application with social media integration using computer adaptive testing techniques 12

Formative assessment application with social media integrati...

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12th International Conference on e-Learning, ICEL 2017

作者： Dascalu, Maria-Luliana Nitu, Melania Alecu, Gabriel Bodea, Constanta-Nicoleta Moldoveanu, Alin Dragos Bogdan Department of Engineering in Foreign Languages Faculty of Engineering in Foreign Languages University Politehnica of Bucharest Romania Department of Economic Informatics and Cybernetics Faculty of Economic Cybernetics Statistics and Informatics Bucharest University of Economic Studies Romania Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania

ISBN: (纸本)9781911218357

Individual instruction is recognized as an effective learning method which is highly supported by the so-called personalized, intelligent or adaptive systems. The main purpose of this learning method is to offer customized content, experience or tools, based on the learning profile of students (learning style, gender, prior knowledge, learning goals and so on), so as to improve the learning outcomes. There are two wide-known adaption techniques implemented by learning systems to provide individual instruction: adaptability and adaptivity. The first one allows the students to take control, e.g. The learning system provides choices to let the students adapt the steps, sequences, difficulty level, preferences, while the second empowers the system, which is able to build a student model and to provide learning support based on that model. The current paper presents PoliCAT-A learning system based on Computer Adaptive Testing (CAT) principle, which implements the second adaption technique (adaptivity) to provide individual instruction. Furthermore, the proposed web-based application supports the new learning paradigms, e.g. student-centered learning, communities of practice, and constructivism in general and relies on the current technologies-Web 2.0 and social Web, as students are able to share one's results on social media. The system is described as a useful tool for self-regulated learning, answering thus at the question whether assessment may have a strong formative role in learning or not. Besides highlighting the key features of the application, the paper provides experimental results from a web programming course for forth year students enrolled in an engineering degree program, who used the developed system as a learning tool during one semester. Students reported that they succeeded in strengthening their study skills and monitoring their academic progress through the learning analytics features. The available personalized feedback PoliCAT, as well as the possi

关键词： Students

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Erratum to "Frentizole derivatives with mTOR inhibiting and senomorphic properties" [Biomed. Pharmacother. 167 (2023) 115600]

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Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie 2025年 184卷 117883页

作者： Zofia Chrienova David Rysanek Josef Novak Pavla Vasicova Patrik Oleksak Rudolf Andrys Adam Skarka Jelena Dumanovic Zoran Milovanovic Vesna Jacevic Marketa Chvojkova Kristina Holubova Karel Vales Veronika Skoupilova Marian Valko Klaudia Jomova Suliman Y Alomar Fernanda D Botelho Tanos C C Franca Kamil Kuca Zdenek Hodny Eugenie Nepovimova Department of Chemistry Faculty of Science University of Hradec Kralove Rokitanskeho 62 Hradec Kralove 500 03 Czech Republic. Department of Genome Integrity Institute of Molecular Genetics of the Czech Academy of Sciences Videnska 1083 Prague 142 20 Czech Republic. Faculty of Chemistry University of Belgrade Studenski trg 16 Belgrade 11000 Serbia. Special Police Unit Ministry of Interior Trebevićka 12/A Belgrade 11030 Serbia. Department of Experimental Toxicology and Pharmacology National Poison Control Centre Military Medical Academy & Medical Faculty of the Military Medical Academy University of Defence 11 Crnotravska Belgrade 11000 Serbia. Department of Chemistry Faculty of Science University of Hradec Kralove Rokitanskeho 62 Hradec Kralove 500 03 Czech Republic National Institute of Mental Health Topolova 748 Klecany 250 67 Czech Republic. National Institute of Mental Health Topolova 748 Klecany 250 67 Czech Republic Third Faculty of Medicine Charles University Ruska 87 Prague 10 100 00 Czech Republic. Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Bratislava 812 37 Slovakia. Department of Chemistry Faculty of Natural Sciences and Informatics Constantine the Philosopher University in Nitra Nitra 949 01 Slovakia. Zoology Department College of Science King Saud University Riyadh 11451 Saudi Arabia. Laboratory of Molecular Modeling Applied to Chemical and Biological Defense (LMCBD) Military Institute of Engineering Rio de Janeiro RJ 22290-270 Brazil. Department of Genome Integrity Institute of Molecular Genetics of the Czech Academy of Sciences Videnska 1083 Prague 142 20 Czech Republic. Electronic address: zdenek.hodny@img.cas.cz. Department of Chemistry Faculty of Science University of Hradec Kralove Rokitanskeho 62 Hradec Kralove 500 03 Czech Republic. Electronic address: eugenie.nepovimova@uhk.cz.

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Robust coalitional distributed model predictive control algorithm with stability via terminal constraint

Robust coalitional distributed model predictive control algo...

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IEEE Conference on control Technology and Applications

作者： A. Maxim J. M. Maestre C. F. Caruntu C. Lazar Department of Electrical energy Metals Mechanical Constructions and Systems Ghent University Ghent Belgium Department of Systems and Automation Engineering University of Seville Spain Department of Automatic Control and Applied Informatics ‘Gheorghe Asachi’ Technical University of Iasi Iasi Romania

This paper proposes a robust coalitional distributed model predictive control algorithm suitable for input coupled sub-systems. The core idea is based on a distributed iterative implementation with minimum information exchange, in which the coupling information is regarded as bounded additive uncertainty. If the disturbance received from the neighbours is too large for the local optimization problem, then a coalitional strategy is adopted. The closed-loop stability is guaranteed via terminal constraint. The performance of the coalitional strategy is compared with an iterative min-max distributed model predictive controller and a centralized model predictive controller.

关键词： performance coalitional strategy compared

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Effects of Jamming Attacks on Wireless Networked control Systems Under Disturbance

arXiv

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arXiv 2018年

作者： Cetinkaya, Ahmet Ishii, Hideaki Hayakawa, Tomohisa The National Institute of Informatics Tokyo101-8430 Japan The Department of Computer Science Tokyo Institute of Technology Yokohama226-8502 Japan The Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8552 Japan

Jamming attacks on wireless networked control systems are investigated for the scenarios where the system dynamics face exogenous disturbance. In particular, the control input packets are assumed to be transmitted from a controller to a remotely located linear plant over an insecure wireless communication channel that is subject to jamming attacks. The time-varying likelihood of transmission failures on this channel depends on the power of the jamming interference signal emitted by an attacker. We show that jamming attacks can prevent stability when the system faces disturbance, even if the attacked system without disturbance is stable. We also show that stability under jamming and disturbance can be achieved if the average jamming interference power is restricted in a certain way that we characterize in the paper. We illustrate our results on an example networked control system with a fading wireless channel, where the outage probability is affected by jamming attacks. Copyright © 2018, The Authors. All rights reserved.

关键词： Wireless networks

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Modelling of ball and plate system based on first principle model and optimal control 21

Modelling of ball and plate system based on first principle ...

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21st International Conference on Process control, PC 2017

作者： Dusek, Frantisek Honc, Daniel Sharma, K. Rahul Department of Process Control Faculty of Electrical Engineering and Informatics University of Pardubice Nám Čs. legií 565 Pardubice53210 Czech Republic

ISBN: (纸本)9781538640111

This paper presents modelling of ball and plate systems based on first principles by considering balance of forces and torques. A non-linear model is derived considering the dynamics of motors, gears, ball and plate. The non-linear model is linearized near the operating region to obtain a standard state space model. This linear model is used for discrete optimal control of the ball and plate system-The trajectory of the ball is controlled by control voltages to the motor. © 2017 IEEE.

关键词： State space methods

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Comparitive study of predictive controllers for trajectory tracking of non-holonomic mobile robot 21

Comparitive study of predictive controllers for trajectory t...

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21st International Conference on Process control, PC 2017

作者： Sharma, K. Rahul Dusek, Frantisek Honc, Daniel Department of Process Control Faculty of Electrical Engineering and Informatics University of Pardubice Nám Čs. legií 565 Pardubice53210 Czech Republic

ISBN: (纸本)9781538640111

The paper deals with predictive control of non-holonomic mobile robot. The basic nonlinear kinematic equation is linearized into two different linear time varying models based on frame of reference-world coordinates and local coordinate of mobile robot. The non-linear model predictive control is applied to the trajectory tracking problem of a non-holonomic mobile robot with these models. The control law is derived from a cost function which penalizes the state tracking error, control effort and terminal state deviation error. Various simulation experiments are conducted and a comparative analysis has been made with respect to state-of-the-art approaches. © 2017 IEEE.

关键词： Mobile robots

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Performance optimization of a clustering adaptive gravitational search scheme for wireless sensor networks 17th

Performance optimization of a clustering adaptive gravitatio...

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17th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2017, 10th Conference on Internet of Things and Smart Spaces, ruSMART 2017 and 3rd International Workshop on Nano-scale Computing and Communications, NsCC 2017

作者： Pourabdollah, Elham Mohammadi Asl, Reza Tsiligiridis, Theodore Information Technology Engineering Department Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Control Engineering Department Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Informatics Laboratory Department of Economics and Rural Development Agricultural University of Athens Athens Greece

ISBN: (纸本)9783319673790

In this research we propose a new clustering scheme based on a combination of a well known stochastic, population-based Gravitational Search Algorithm (GSA) and the k-means algorithm to select optimal reference nodes in a Wireless Sensor Networks (WSN). In the proposed scheme the process of grouping sensors into clusters reference nodes is based on a K-means clustering algorithm to divide the initial population and select the best position in the neighbourhood to exchange information between clusters. In cases when sensor nodes receive multiple synchronization messages from more than one reference node a weighted average method is used. In this paper we limit our research on a number of benchmark functions which are used to compare the performance of the proposed algorithm with other important meta-heuristic algorithms to show its superiority. © 2017, Springer International Publishing AG.

关键词： Sensor nodes

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PFC and Fuzzy based PI controller for bidirectional DC/DC converter of Buck mode in HEV

PFC and Fuzzy based PI controller for bidirectional DC/DC co...

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第30届中国控制与决策会议

作者： Kai Han Jili Tao Zhang Ridong Zhou Huiyu School of Information Science and Engineering Ningbo Institute of technology Zhejiang University Key Lab for IOT and Information Fusion Technology of Zhejiang Information and Control Institute Hangzhou Dianzi University Department of Informatics University of Leicester

It is important to control input and output power of bidirectional DC/DC converter for fuel cell and Ultra-capacitor equipped hybrid energy vehicle. The small signal equivalent model of bidirectional DC/DC converter in the buck mode is first established to obtain its transfer function. And a double loop of voltage and current is designed for the power control of bidirectional DC/DC. The non-minimum state space model is then deduced to initialize the PI controller parameters offline based on the predictive functional control（PFC） and Fuzzy rules are designed to tune the PI controller online. Simulation results of the proposed controller show that the set power can be achieved quickly by comparing with traditional PI controller and PFC based PI controller.

关键词： bidirectional DC/DC converter non-minimum state space model predictive functional control Fuzzy control

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Author Correction: Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)

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Nature cell biology 2024年第5期26卷 839页

作者： Sanjay Jain Liming Pei Jeffrey M Spraggins Michael Angelo James P Carson Nils Gehlenborg Fiona Ginty Joana P Gonçalves James S Hagood John W Hickey Neil L Kelleher Louise C Laurent Shin Lin Yiing Lin Huiping Liu Alexandra Naba Ernesto S Nakayasu Wei-Jun Qian Andrea Radtke Paul Robson Brent R Stockwell Raf Van de Plas Ioannis S Vlachos Mowei Zhou Katy Börner Michael P Snyder Department of Medicine Washington University School of Medicine St Louis MO USA. sanjayjain@wustl.edu. Department of Pediatrics Washington University School of Medicine St Louis MO USA. sanjayjain@wustl.edu. Department of Pathology and Immunology Washington University School of Medicine St. Louis MO USA. sanjayjain@wustl.edu. Center for Mitochondrial and Epigenomic Medicine Department of Pathology and Laboratory Medicine Children's Hospital of Philadelphia and Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. lpei@pennmedicine.upenn.edu. Department of Cell and Developmental Biology and the Mass Spectrometry Research Center Vanderbilt University School of Medicine Nashville TN USA. jeff.spraggins@vanderbilt.edu. Department of Pathology Stanford School of Medicine Stanford CA USA. Texas Advanced Computing Center University of Texas at Austin Austin TX USA. Department of Biomedical Informatics Harvard Medical School Boston MA USA. GE Research Center Niskayuna NY USA. Department of Intelligent Systems Delft University of Technology Delft Netherlands. Department of Pediatrics (Pulmonology) and Program for Rare and Interstitial Lung Disease University of North Carolina at Chapel Hill Chapel Hill NC USA. Department of Microbiology and Immunology Stanford University Stanford CA USA. Departments of Medicine Chemistry and Molecular Biosciences Northwestern University Evanston IL USA. Department of Obstetrics Gynecology and Reproductive Sciences University of California San Diego La Jolla CA USA. Division of Cardiology University of Washington School of Medicine Seattle WA USA. Department of Surgery Washington University School of Medicine St Louis MO USA. Departments of Pharmacology Medicine (Hematology and Oncology) Lurie Cancer Center Northwestern University Feinberg School of Medicine Chicago IL USA. Department of Physiology and Biophysics University of Illinois at Chicago Chicago IL USA. Biological Sciences Division

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