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arXiv 2020年

作者： Polyanskii, Nikita Vorobyev, Ilya Institute for Communications Engineering Technical University of Munich Munich80333 Germany Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow121205 Russia Advanced Combinatorics and Complex Networks Lab Moscow Institute of Physics and Technology Dolgoprudny141701 Russia

We study the duplication with transposition distance between strings of length n over a q-ary alphabet and their roots. In other words, we investigate the number of duplication operations of the form x = (abcd) → y = (abcbd), where x and y are strings and a, b, c and d are their substrings, needed to get a q-ary string of length n starting from the set of strings without duplications. For exact duplication, we prove that the maximal distance between a string of length at most n and its root has the asymptotic order n/ log n. For approximate duplication, where a β-fraction of symbols may be duplicated incorrectly, we show that the maximal distance has a sharp transition from the order n/ log n to log n at β = (q - 1)/q. The motivation for this problem comes from genomics, where such duplications represent a special kind of mutation and the distance between a given biological sequence and its root is the smallest number of transposition mutations required to generate the sequence. Copyright © 2020, The Authors. All rights reserved.

关键词： DNA sequences

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Giant Isolated Attosecond Pulses from Two-Color Laser-Plasma Interactions

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Physical Review Letters 2020年第11期124卷 114802-114802页

作者： Y. X. Zhang S. Rykovanov Mingyuan Shi C. L. Zhong X. T. He B. Qiao M. Zepf Center for Applied Physics and Technology HEDPS SKLNPT and School of Physics Peking University Beijing 100871 China Helmholtz Institute Jena 07743 Jena Germany Laser Fusion Research Center China Academy of Engineering Physics Mianyang 621900 China Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology 121205 Moscow Russia Collaborative Innovation Center of IFSA Shanghai Jiao Tong University Shanghai 200240 China Institute of Applied Physics and Computational Mathematics Beijing 100094 China Institute of Optics and Quantum Electronics Friedrich Schiller University 07743 Jena Germany

A new regime in the interaction of a two-color (ω,2ω) laser with a nanometer-scale foil is identified, resulting in the emission of extremely intense, isolated attosecond pulses—even in the case of multicycle lasers. For foils irradiated by lasers exceeding the blow-out field strength (i.e., capable of fully separating electrons from the ion background), the addition of a second harmonic field results in the stabilization of the foil up to the blow-out intensity. This is then followed by a sharp transition to transparency that essentially occurs in a single optical cycle. During the transition cycle, a dense, nanometer-scale electron bunch is accelerated to relativistic velocities and emits a single, strong attosecond pulse with a peak intensity approaching that of the laser field.

关键词： Fast particle effects in plasmas High-energy-density plasmas High-order harmonic generation Laser-plasma interactions Radiation & particle generation in plasmas Radiation pressure acceleration X-ray generation in plasmas

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Quantum voting and its physical interpretation∗

arXiv

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arXiv 2019年

作者： Yoo, Woong-seon Seoul 06642 Korea Republic of Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

Voting is a game with a no-go theorem. New proofs of Arrow’s impossibility theorem are given based on quantum information theory. We show that the Arrowian dictator is equivalent to the perfect cloning circuit. We present Gedankenexperiment of voting and Bell-like inequalities of voting. We provide the thermodynamic interpretation of voting with Landauer’s principle. Copyright © 2019, The Authors. All rights reserved.

关键词： Quantum optics

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Multilinear state space system identification with matrix product operators

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IFAC-PapersOnLine 2018年第15期51卷 640-645页

作者： Batselier, Kim Ko, Ching-Yun Phan, Anh-Huy Cichocki, Andrzej Wong, Ngai Electrical and Electronic Engineering Department The University of Hong Kong Hong Kong Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia Systems Research Institute Polish Academy of Science Warsaw Poland

In this article, we introduce a matrix product operator, also called tensor train matrix, representation of discrete-time multilinear state space models and develop a corresponding system identification method. Using matrix product operators allows us to store the exponential number of model coefficients with a linear storage complexity. The derived system identification algorithm estimates the matrix product operator of the multilinear state space model directly from the measured data. This results in lower computational complexity compared to traditional nonlinear optimization methods. The effectiveness of our proposed model and method is demonstrated by a numerical experiment, where the identification of a degree-16 multilinear state space system in MATLAB on a standard desktop computer takes about 8 minutes with a relative validation error of 0.003%. © 2018

关键词： Matrix algebra

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Optimization-based approach to the calibration of mesoscale mechanical models for carbon nanotube systems

arXiv

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arXiv 2019年

作者： Petrov, Vitaly Ostanin, Igor Zhilyaev, Petr Center for Design Manufacturing and Materials Skolkovo Institute of Science and Technology Moscow Russia Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

A new mesoscale mechanical model, describing elastic interactions in carbon nanotubes (CNT) and other nanofilaments, is proposed. Functional form of the developed model is based on enhanced vector model (EVM) that describes basic types of bond deformations: tension, torsion, bending and shear. Calibration of bond stiffnesses is performed by adjusting EVM parameters to reproduce both CNT's deformation energies and shape observed in a full-atomistic simulation. The parameters obtained are compared with the ones obtained from Euler-Bernoulli beam theory considerations. It is found that after certain critical length of a tested CNT specimen its stiffness parameters become length-independent and can be used in mesoscale simulations of CNTs of arbitrary length. Copyright © 2019, The Authors. All rights reserved.

关键词： Carbon nanotubes

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Author Correction: Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task

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Scientific reports 2020年第1期10卷 11482页

作者： Pavel Kharyuk Dmitry Nazarenko Ivan Oseledets Igor Rodin Oleg Shpigun Andrey Tsitsilin Mikhail Lavrentyev Skolkovo Institute of Science and Technology Center for Computational and Data-Intensive Science and Engineering Moscow 143026 Russia. kharyuk.pavel@***. Institute of Numerical Mathematics of the Russian Academy of Sciences Moscow 119991 Russia. kharyuk.pavel@***. Lomonosov Moscow State University Faculty of Chemistry Moscow 119991 Russia. dmitro.nazarenko@***. Skolkovo Institute of Science and Technology Center for Computational and Data-Intensive Science and Engineering Moscow 143026 Russia. Institute of Numerical Mathematics of the Russian Academy of Sciences Moscow 119991 Russia. Lomonosov Moscow State University Faculty of Chemistry Moscow 119991 Russia. All-Russian Research Institute of Medicinal and Aromatic Plants (VILAR) Moscow 117216 Russia. Saratov State University Department of Botanics and Ecology Saratov 410012 Russia.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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AA-ICP: Iterative closest point with anderson acceleration

AA-ICP: Iterative closest point with anderson acceleration

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2018 IEEE International Conference on Robotics and Automation, ICRA 2018

作者： Pavlov, Artem L. Ovchinnikov, Grigory W.V. Derbyshev, Dmitry Yu. Tsetserukou, Dzmitry Oseledets, Ivan V. Skolkovo Institute of Science and Technology Skolkovo Innovation Center Space Center Moscow143026 Russia Skolkovo Institute of Science and Technology Computational and Data-Intensive Science and Engineering Russia Moscow Institute of Physics and Technology Russia Skolkovo Institute of Science and Technology Space Center Russia Skolkovo Institute of Science and Technology Center for Computational and Data-Intensive Science and Engineering Russia

ISBN: (纸本)9781538630815

Iterative Closest Point (ICP) is a widely used method for performing scan-matching and registration. Being simple and robust, this method is still computationally expensive and may be challenging to use in real-time applications with limited resources on mobile platforms. In this paper we propose a novel effective method for acceleration of ICP which does not require substantial modifications to the existing code. This method is based on an idea of Anderson acceleration which is an iterative procedure for finding a fixed point of contractive mapping. The latter is often faster than a standard Picard iteration, usually used in ICP implementations. We show that ICP, being a fixed point problem, can be significantly accelerated by this method enhanced by heuristics to improve overall robustness. We implement proposed approach into Point Cloud Library (PCL) and make it available online. Benchmarking on the real-world data fully supports our claims. © 2018 IEEE.

关键词： Iterative methods

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Evolutionary Structural Optimization Algorithm Based on FFT-JVIE Solver for Inverse Design of Wave Devices

Evolutionary Structural Optimization Algorithm Based on FFT-...

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engineering and Telecommunication (EnT-MIPT)

作者： Iurii B. Minin Egor E. Nuzhin Alexey I. Boyko Mikhail S. Litsarev Ivan V. Oseledets Skoltech Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

ISBN: (纸本)9781728104331

We propose a topology optimization method with a target function based on FFT-JVIE solver. It allows to find an optimal structure in a 3D space for homogeneous objects (lenses and metallic reflectors). Such examples as glass lenses, parabolic reflectors are considered. Numerical experiments show that discrete gradient algorithm converges much faster than greedy algorithm for all considered cases.

关键词： Optimization Two dimensional displays Three-dimensional displays Topology Tensors Lenses

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DronePick: Object picking and delivery teleoperation with the drone controlled by a wearable tactile display

arXiv

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arXiv 2019年

作者： Ibrahimov, Roman Tsykunov, Evgeny Shirokun, Vladimir Somov, Andrey Tsetserukou, Dzmitry Intelligent Space Robotics Laboratory Skolkovo Institute of Science and Technology Moscow Russia Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

We report on the teleoperation system DronePick which provides remote object picking and delivery by a human-controlled quadcopter. The main novelty of the proposed system is that the human user continuously gets the visual and haptic feedback for accurate teleoperation. DronePick consists of a quadcopter equipped with a magnetic grabber, a tactile glove with finger motion tracking sensor, hand tracking system, and the Virtual Reality (VR) application. The human operator teleoperates the quadcopter by changing the position of the hand. The proposed vibrotactile patterns representing the location of the remote object relative to the quadcopter are delivered to the glove. It helps the operator to determine when the quadcopter is right above the object. When the "pick" command is sent by clasping the hand in the glove, the quadcopter decreases its altitude and the magnetic grabber attaches the target object. The whole scenario is in parallel simulated in VR. The air flow from the quadcopter and the relative positions of VR objects help the operator to determine the exact position of the delivered object to be picked. The experiments showed that the vibrotactile patterns were recognized by the users at the high recognition rates: the average 99% recognition rate and the average 2.36s recognition time. The real-life implementation of DronePick featuring object picking and delivering to the human was developed and tested. Copyright © 2019, The Authors. All rights reserved.

关键词： Remote control

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DronePick: Object Picking and Delivery Teleoperation with the Drone Controlled by a Wearable Tactile Display

DronePick: Object Picking and Delivery Teleoperation with th...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Roman Ibrahimov Evgeny Tsykunov Vladimir Shirokun Andrey Somov Dzmitry Tsetserukou Intelligent Space Robotics Laboratory Skolkovo Institute of Science and Technology Moscow Russian Federation Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russian Federation

ISBN: (纸本)9781728126234

We report on the teleoperation system DronePick which provides remote object picking and delivery by a human- controlled quadcopter. The main novelty of the proposed system is that the human user continuously gets the visual and haptic feedback for accurate teleoperation. DronePick consists of a quadcopter equipped with a magnetic grabber, a tactile glove with finger motion tracking sensor, hand tracking system, and the Virtual Reality (VR) application. The human operator teleoperates the quadcopter by changing the position of the hand. The proposed vibrotactile patterns representing the location of the remote object relative to the quadcopter are delivered to the glove. It helps the operator to determine when the quadcopter is right above the object. When the “pick” command is sent by clasping the hand in the glove, the quadcopter decreases its altitude and the magnetic grabber attaches the target object. The whole scenario is in parallel simulated in VR. The air flow from the quadcopter and the relative positions of VR objects help the operator to determine the exact position of the delivered object to be picked. The experiments showed that the vibrotactile patterns were recognized by the users at the high recognition rates: the average 99% recognition rate and the average 2.36s recognition time. The real-life implementation of DronePick featuring object picking and delivering to the human was developed and tested.

关键词： drone honey bees Gloves remote operation Picking Human Touch Variable reluctance Obstetric Delivery commands air flow

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