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Continuous-variable measurement-device-independent quantum key distribution

Physical Review A 2014年第5期89卷 052301-052301页

作者： Zhengyu Li Yi-Chen Zhang Feihu Xu Xiang Peng Hong Guo State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science and Center for Quantum Information Technology Peking University Beijing 100871 China Center for Computational Science and Engineering Peking University Beijing 100871 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing 100876 China Centre for Quantum Information and Quantum Control Department of Physics and Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada M5S 3G4

We propose a continuous-variable measurement-device-independent quantum key distribution (CV-MDI QKD) protocol, in which detection is conducted by an untrusted third party. Our protocol can defend all detector side channels, which seriously threaten the security of a practical CV QKD system. Its security analysis against arbitrary collective attacks is derived based on the fact that the entanglement-based scheme of CV-MDI QKD is equivalent to the conventional CV QKD with coherent states and heterodyne detection. We find that the maximal total transmission distance is achieved by setting the untrusted third party close to one of the legitimate users. Furthermore, an alternate detection scheme, a special application of CV-MDI QKD, is proposed to enhance the security of the standard CV QKD system.

关键词： Quantum cryptography

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Introduction to the issue on biophotonics

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IEEE Journal on Selected Topics in Quantum Electronics 2014年第2期20卷 4-7页

作者： Ilev, Ilko K. Boppart, Stephen A. Andersson-Engels, Stefan Kim, Beop-Min Perelman, Lev Tuchin, Valery Center for Devices and Radiological Health U.S. Food and Drug Administration Silver Spring MD 20993 United States Beckman Institute for Advanced Science and Technology Departments of Bioengineering Electrical and Computer Engineering and Medicine University of Illinois Urbana IL 61801 United States Division of Atomic Physics Lund University Lund SE-22100 Sweden Department of Biomedical Engineering Korea University Seoul 136-703 Korea Republic of Center for Advanced Biomedical Imaging and Photonics Beth Israel Deaconess Medical Center Harvard University Boston MA 02215 United States Division of Optics and Biophotonics Saratov State University Saratov 410012 Russia Institute of Precision Mechanics and Control Russian Academy of Sciences Saratov 410028 Russia Optoelectronics and Measurement Techniques Laboratory University of Oulu Oulu FI-90014 Finland

The objective of this JSTQE Issue on Biophotonics is to highlight recent progress and trends in innovative biophotonics technology development. The papers published in this issue cover a broad range of advanced biophotonics areas summarized in the following sections: 1) bioimaging: optical coherence tomography and microscopy, nonlinear optical imaging, and novel multimodality imaging approaches; 2) biosensing: multifunctional biosensing, and novel biosensing approaches; 3) biophotonic science: mechanisms of light-cell and lighttissue interactions, advanced modeling methods in biophotonics, and light induced biophotonics effects; 4) biophotonic technology: advanced technologies in biophotonic diagnostics and therapeutics, infrared technology in biophotonics, and novel laser, biomedical and fiber optics tools and devices in biophotonics. These key research topics are highlighted as comprehensive overviews of the current status and future trends, as well as original results and recent developments in the field of biophotonics. This issue contains 33 papers, including 18 invited and 15 contributed papers authored by well-established research groups and promising scientists from all over the world. The invited papers include extended reviews on recent biophotonic developments and clinical applications in the areas of highresolution multispectral bioimaging, combined multifunctional microscopy, nonlinear deep tissue imaging, single molecule imaging, optical coherence elastography, cellular and molecular mechanisms of photobiomodulation, tissue optical clearing, clinical ultrafast laser surgery, infrared laser nerve stimulation, and novel tapered diode lasers for biophotonics. The contributed papers cover a broad variety of key biophotonic research areas including recently obtained original results on multimodal bioimaging and sensing, high resolution phase-sensitive magnetomotive optical coherence microscopy and elastography, and laser-assisted typing of polymorphic human

关键词： Special issues and sections Biophotonics

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Develop a multiple physiological system of ICU patients with symptom analysis and decision making

Develop a multiple physiological system of ICU patients with...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chin-Teng Lin Shi-An Chen Yu-Kai Wang Shao-Wei Lu Instrument Technology Research Center National Applied Research Laboratories Taiwan Republic of China Institute of Electrical Control Engineering National Chiao Tung University Taiwan Republic of China Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan Republic of China Department of Power Mechanical Engineering National Tsing Hua University Taiwan Republic of China

This study presents a real-time, and auto-alarm intelligent system of healthcare for ICU patients. The current version of the expert system can detect EEG and ECG to identify different types of abnormal cardiac rhythms in real-time and identify patients' acute stress. The proposed system also activates an emergency medical alarm system when problems occur.

关键词： Stress Electrocardiography Medical services Electroencephalography Heart beat Design automation

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A centralized potential field method for stable operation of a multi-robot dome inspection, repair, and maintenance system

A centralized potential field method for stable operation of...

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2013 1st RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2013

作者： Naderi, K. Nejadfard, A. Moradi, H. Nili Ahmadabadi, M. School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

ISBN: (纸本)9781467358118

In this paper we propose a centralized algorithm for stable operation of a multi-robot dome inspection, repair, and maintenance based on potential field method. The multi-robot system consists of two robots, a leader robot and a supporter robot, connected to each other by two strings. The follower robot sends its information to the leader robot for processing and receiving commands. The leader robot uses the friction model, the slope of the dome detected by the two robots' tilt sensors and the mass of the robots to calculate the stability ranges and determines the proper action to make the whole system stable. The leader robot moves toward its target pose while adjusting the tension of its string using potential field method to combine the attractive and repulsive potentials. The follower robot executes the commands sent by the leader robot to create the most stable configuration for the whole system. It is shown that the algorithm can guarantee stable operation all over a typical dome. The algorithm has been implemented and shown its effectiveness in simulation. Furthermore, the effect of each parameter has been discussed and it is shown that the multi-robot system is capable of completely covering a typical dome using the proposed potential field algorithm. © 2013 IEEE.

关键词： Multipurpose robots

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Asymptotic optimality for consensus-type stochastic approximation algorithms using iterate averaging

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控制理论与应用（英文版） 2013年第1期11卷 1-9页

作者： Gang YIN Le Yi WANG Yu SUN David CASBEER Raymond HOLSAPPLE Derek KINGSTON Department of Mathematics Wayne State University Department of Electrical and Computer Engineering Wayne State University Quantitative Business Analysis Department Siena College Control Science Center of Excellence Air Force Research Laboratory

This paper introduces a post-iteration averaging algorithm to achieve asymptotic optimality in convergence rates of stochastic approximation algorithms for consensus control with structural constraints. The algorithm involves two stages. The first stage is a coarse approximation obtained using a sequence of large stepsizes. Then, the second stage provides a refinement by averaging the iterates from the first stage. We show that the new algorithm is asymptotically efficient and gives the optimal convergence rates in the sense of the best scaling factor and ＇smallest＇ possible asymptotic variance.

关键词： Stochastic approximation algorithm Consensus Iterate averaging Asymptotic optimality

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Efficient control synthesis for augmented finite transition systems with an application to switching protocols

Efficient control synthesis for augmented finite transition ...

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American control Conference

作者： Fei Sun Necmiye Ozay Eric M. Wolff Jun Liu Richard M. Murray Information Security Center Beijing University of Posts and Telecommunications China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 USA Department of Control and Dynamical Systems California Institute of Technology Pasadena CA 91125 USA Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom

ISBN: (纸本)9781479932757

Augmented finite transition systems generalize nondeterministic transition systems with additional liveness conditions. We propose efficient algorithms for synthesizing control protocols for augmented finite transition systems to satisfy high-level specifications expressed in a fragment of linear temporal logic (LTL). We then use these algorithms within a framework for switching protocol synthesis for discrete-time dynamical systems, where augmented finite transition systems are used for abstracting the underlying dynamics. We introduce a notion of minimality for abstractions of certain fidelity and show that such minimal abstractions can be exactly computed for switched affine systems. Additionally, based on this framework, we present a procedure for computing digitally implementable switching protocols for continuous-time systems. The effectiveness of the proposed framework is illustrated through two examples of temperature control for buildings.

关键词： Switched systems Switches Protocols Heuristic algorithms Transient analysis Complexity theory

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Highlights from the 11th ISCB Student Council Symposium 2015. Dublin, Ireland. 10 July 2015

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BMC bioinformatics 2016年第3期17 Suppl 3卷 95页

作者： Katie Wilkins Mehedi Hassan Margherita Francescatto Jakob Jespersen R. Gonzalo Parra Bart Cuypers Dan DeBlasio Alexander Junge Anupama Jigisha Farzana Rahman Griet Laenen Sander Willems Lieven Thorrez Yves Moreau Nagarajan Raju Sonia Pankaj Chothani C. Ramakrishnan Masakazu Sekijima M. Michael Gromiha Paddy J Slator Nigel J Burroughs Przemysław Szałaj Zhonghui Tang Paul Michalski Oskar Luo Xingwang Li Yijun Ruan Dariusz Plewczynski Giulia Fiscon Emanuel Weitschek Massimo Ciccozzi Paola Bertolazzi Giovanni Felici Pieter Meysman Manu Vanaerschot Maya Berg Hideo Imamura Jean-Claude Dujardin Kris Laukens Westa Domanova James R. Krycer Rima Chaudhuri Pengyi Yang Fatemeh Vafaee Daniel J. Fazakerley Sean J. Humphrey David E. James Zdenka Kuncic Plant Pathology and Plant-Microbe Biology Section School of Integrative Plant Science Cornell University Ithaca USA Graduate Field of Computational Biology Cornell University Ithaca USA School of Computing & Mathematics University of South Wales Cardiff UK Department of Genome Biology for Neurodegenerative Diseases German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association ᅟ Germany Department of Surgery Massachusetts General Hospital The Broad Institute of MIT and Harvard Boston USA Department of Systems Biology Technical University of Denmark Kemitorvet Denmark Protein Physiology Lab Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires Buenos Aires Argentina Molecular Parasitology Unit (MPU) Institute of Tropical Medicine Antwerp Belgium Advanced Database Research and Modeling (ADReM) research group University of Antwerp Antwerpen Belgium Department of Computer Science University of Arizona Tucson USA Department of Veterinary Clinical and Animal Sciences Center for non-coding RNA in Technology and Health University of Copenhagen Copenhagen Denmark University College Dublin Dublin Ireland Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium Minds Medical IT Department Leuven Belgium Scientific Institute of Public Health (WIV-ISP) Platform of Biotechnology and Molecular Biology (PBB) Brussels Belgium Department of Development and Regeneration @ Kulak KU Leuven Kortrijk Belgium Department of Biotechnology Bhupat and Jyoti Metha School of Biosciences Indian Institute of Technology Madras Chennai India Philips Research North America Briarcliff Manor USA Global Scientific Information and Computing Center (GSIC) Tokyo Institute of Technology Tokyo Japan Systems Biology Centre University of Warwick Senate House Coventry UK Systems Biology Doctoral Training Centre University of Warwick Senate House Coventry UK Center for B

A1 Highlights from the eleventh ISCB Student Council Symposium 2015 Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman O1 Prioritizing a drug’s targets using both gene expression and structural similarity Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau O2 Organism specific protein-RNA recognition: A computational analysis of protein-RNA complex structures from different organisms Nagarajan Raju, Sonia Pankaj Chothani, C. Ramakrishnan, Masakazu Sekijima; M. Michael Gromiha O3 Detection of Heterogeneity in Single Particle Tracking Trajectories Paddy J Slator, Nigel J Burroughs O4 3D-NOME: 3D NucleOme Multiscale Engine for data-driven modeling of three-dimensional genome architecture Przemysław Szałaj, Zhonghui Tang, Paul Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski O5 A novel feature selection method to extract multiple adjacent solutions for viral genomic sequences classification Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici O6 A Systems Biology Compendium for Leishmania donovani Bart Cuypers, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens O7 Unravelling signal coordination from large scale phosphorylation kinetic data Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic

关键词： Visceral Leishmaniasis Feature Selection Method Frequent Itemset Mining Leishmania Donovani Student Council

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Lidar-Assisted Wind Turbine Feedforward Torque controller Design Below Rated

Lidar-Assisted Wind Turbine Feedforward Torque Controller De...

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American control Conference

作者： Na Wang Kathryn E. Johnson Alan D. Wright Carlo E. Carcangiu Colorado School of Mines Department of Electrical Engineering and Computer Science Golden CO 80401 USA Colorado School of Mines Department of Electrical Engineering and Computer Science and Joint Appointee at National Renewable Energy Laboratory's National Wind Technology Center Golden CO 80401 USA National Renewable Energy Laboratory Golden CO 80401 USA Closed-Loop Control at ALSTOM WIND S.L.U. Barcelona Spain

ISBN: (纸本)9781479932757

Two below-rated feedforward torque control strategies are investigated for a megawatt-scale commercial turbine to regulate rotor speed and reduce turbine structural loads. The investigated regime for this research is the transition region when the turbine is operating just below rated wind speed. In this transition region, the rotor speed has reached its rated value but the generator torque has not. The first of the two controllers designed is a nonlinear feedforward controller that is based on aerodynamic torque balance computed from a light detection and ranging (lidar) measurement and a feedback power measurement from the turbine. A linear disturbance accommodating control (DAC) based torque controller has also been adapted and compared with the nonlinear control strategy. This DAC depends only on the lidar feedforward measurement without using feedback measurement from the turbine. The controllers are verified with a nonlinear FAST turbine model and turbulent wind fields.

关键词： Torque Feedforward neural networks Rotors Wind turbines Laser radar Wind speed Poles and towers

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Adaptive parallel tiled code generation and accelerated auto-tuning

Adaptive parallel tiled code generation and accelerated auto...

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作者： Tavarageri, Sanket Ramanujam, J. Sadayappan, P. Department of Computer Science and Engineering Ohio State University Columbus OH United States School of Electrical Engineering and Computer Science Center for Computation and Technology Louisiana State University United States

Tiling is an important program transformation that is often used to enhance cache locality and to obtain coarse-grained parallelism. In this paper, we address the problem of generating adaptive parametric tiled code for parallel execution contexts;in other words, generating parallel tiled code in which tile sizes can be changed on the fly during execution. Changing of tile sizes during pipelined parallel execution of tiles presents the following fundamental code-generation challenge: the unscanned iteration space may become non-convex. We develop novel solutions for the adaptive parallel tiled code generation problem. Using adaptive tiling, auto-tuning for tile size selection can be accelerated: in a single run of the tiled code, several tile sizes may be tested for their performance and thus expedite auto-tuning. Adaptive tiling is also useful in scenarios where tile sizes need to be dynamically altered to tailor to the changing execution environments, such as dynamically resized caches for power savings. Experimental evaluation on a number of benchmarks demonstrates the effectiveness of the developed approach. © The Author(s) 2013.

关键词： Ion beams

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Application of artificial bee colony algorithm to select architecture of a optimal neural network for the prediction of rolling force in hot strip rolling process

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Journal of Chemical and Pharmaceutical Research 2013年第9期5卷 563-570页

作者： Zhao, Zhiwei Yang, Jingming Che, Haijun Sun, Hao Yang, He Key Lab of Industrial Computer Control Engineering of Hebei Province Institution of Electrical Engineering Yanshan University Qinhuangdao China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University Qinhuangdao China Department of Computer Science and Technology Tangshan College Tangshan China

In the face of global competition, the requirement for dimensional accuracy, mechanical properties and surface properties has become a major challenge on aluminum manufacturing industries. Conventional rolling force formulas, however, provide not more than reasonably exact approximations. The mathematical modeling of the hot rolling process has long been recognized to be a desirable approach to aid in rolling operating practice and the design of mill equipment to improve productivity and quality. However, many factors make the theoretical analysis of the rolling process very complex and time-consuming. This paper presents a prediction method based on the Artificial Bee Colony algorithm and BP neural network, which was developed in order to improve the prediction of rolling force in hot strip rolling process. The architecture of BP neural network is optimized by Artificial Bee Colony algorithm. Comparing with the Sims mathematical model and BP neural network, the experimental results show that the prediction accuracy and error of rolling force is superior to the other two methods, and the predicted rolling force is very close to the practical rolling force.

关键词： Neural networks

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