Article
Environmental Sciences
Xiaoheng Mou, Wenming Lin, Yijun He
Summary: This paper overviewed the temporal variation in CSCAT winds by analyzing the comparison between CSCAT winds and numerical weather prediction model winds. The imperfect calibration of radar backscatter coefficients was found to be the main problem of CSCAT wind processing. Therefore, a running-window-based ocean calibration was proposed to evaluate the consistency of CSCAT radar backscatters and recalibrate CSCAT backscattering measurements before reprocessing the CSCAT wind data. Although this method is not feasible for near-real-time processing, it significantly mitigates the temporal variations in CSCAT wind speed bias, resulting in a more consistent CSCAT wind data record that may benefit meteorological quantitative applications.
Article
Physics, Multidisciplinary
Mingxia Huo, Ying Li
Summary: The paper proposes self-consistent tomography protocols for obtaining a model of temporally correlated errors, which are efficient for low-frequency noise and context-dependent noise.
COMMUNICATIONS IN THEORETICAL PHYSICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Karla Stepanova, Jakub Rozlivek, Frantisek Puciow, Pavel Krsek, Tomas Pajdla, Matej Hoffmann
Summary: In this study, a robot kinematic calibration method that combines self contact, planar constraints, and self-observation approaches was proposed and evaluated. The results show that combining multiple calibration approaches outperforms using a single approach in terms of calibration errors and parameter observability. Additionally, sequential calibration was found to be more effective than simultaneous calibration in improving the generalizability of robot parameters.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Computer Science, Artificial Intelligence
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng
Summary: This article proposes a new semisupervised method for medical image segmentation, optimizing the network by introducing regularization loss and encouraging consistent predictions under different perturbations. The method is extensively validated on challenging medical image segmentation tasks, showing superior performance compared to state-of-the-art methods.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Chemistry, Physical
Johan S. Hoye
Summary: This article discusses the challenges in obtaining accurate results for fluids at thermal equilibrium both inside and outside the critical region, and proposes the use of SCOZA method for approximation. Good analytic approximations can be obtained outside the critical region by adjusting statistical mechanical results to experimental data and/or computer simulations. However, the singular behavior in the critical region and the transition to it require considering correlations of increasing range. Accurate results in the critical region can be achieved by adjusting parameters.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Automation & Control Systems
Alexandre Janot, Patrick M. Wensing
Summary: This study proposes a new method for dynamic identification of robotic mechanisms, named Physically-Consistent DIDIM (PC-DIDIM), which ensures both physical and statistical consistency through a sequential semi-definite optimization procedure. Experimental results show the effectiveness and robustness benefits of the new method compared to traditional least-squares and vanilla DIDIM methods.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Mathematics, Applied
Rob Claes, Karl Meerbergen
Summary: This paper presents a method that uses multiple previous iterates to build an interpolating first order approximation of the nonlinearity, which converges superlinearly to the desired eigenpair.
APPLIED MATHEMATICS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Yang Zhang, Jun Yang, Guoliang Li, Tianqing Zhao, Xiaokai Song, Suoqi Zhang, Ang Li, Hui Bian, Jin Li, Min Zhang
Summary: This study proposes a new stereo camera calibration method using unmanned aerial vehicles (UAV) as feature points and combining them with real-time kinematic (RTK) positioning system for measurement. This method allows the establishment of a measurement reference coordinate system in any monitoring area, thereby improving measurement flexibility.
JOURNAL OF SENSORS
(2022)
Article
Optics
Yue Wang, Xiangjun Wang
Summary: A dynamic binocular stereo vision system based on a non-zoom rotating camera is established, with a novel two-point method for camera parameter estimation and automatic camera alignment for 3D coordinate measurement.
Article
Engineering, Electrical & Electronic
Chuan He, Lianxiong Liu, Changhua Hu
Summary: This paper proposes a real-time deformation monitoring method for large-scale structure based on a relay camera, achieving real-time calculation of the intrinsic and extrinsic parameters of the measuring camera, with a precision higher than 1.8 mm and possessing real-time and automation properties.
JOURNAL OF SENSORS
(2021)
Article
Automation & Control Systems
Xingxing Li, Shuolong Chen, Shengyu Li, Yuxuan Zhou, Shiwen Wang
Summary: Multisensor fusion is widely accepted as a feasible solution for navigation and perception tasks. This paper proposes a spatiotemporal calibration method for heterogenous-camera/IMU/LiDAR systems, supporting both global shutter (GS) and rolling shutter (RS) cameras, and achieving accurate calibration without prior knowledge or calibration infrastructure. The method outperforms other state-of-the-art methods in simulated and real-world experiments.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Xi Shen, Robin Champenois, Shiry Ginosar, Ilaria Pastrolin, Morgane Rousselot, Oumayma Bounou, Tom Monnier, Spyros Gidaris, Francois Bougard, Pierre-Guillaume Raverdy, Marie-Francoise Limon, Christine Benevent, Marc Smith, Olivier Poncet, K. Bender, Beatrice Joyeux-Prunel, Elizabeth Honig, Alexei A. Efros, Mathieu Aubry
Summary: This paper explores two applications of computer vision in historical data analysis: watermark recognition and one-shot repeated pattern detection in artwork collections. By relying on deep mid-level features, the paper demonstrates how to overcome the challenges encountered in these applications and achieve practical results.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2022)
Article
Engineering, Civil
Havard Snefjella Lovas, Aksel Alstad Mogstad, Asgeir J. Sorensen, Geir Johnsen
Summary: This article introduces a novel methodology for precise georegistration in underwater hyperspectral imaging using an RGB camera for photogrammetry modeling. The method demonstrated unprecedented precision in georegistration in UHI with the first-ever spatially consistent mosaic containing multiple transects, captured on a cold-water coral reef in the Trondheim Fjord, Norway.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Xiaoman Duan, Jiangze Cai, Qingqing Ling, Yanchao Huang, Hongliang Qi, Yusi Chen, Linghong Zhou, Yuan Xu
Summary: Modern X-ray imaging systems with low-dose and high spatial resolution imaging capabilities have become widespread in clinics. Accurate geometric calibration is crucial for high-resolution imaging of cone-beam computed tomography (CBCT) systems, and accurate coordinates of bearing balls (BBs) on the calibration phantom are essential. This study proposed a knowledge-based self-calibration method using a robot-based CT system to automatically achieve accurate geometric calibration and improve image quality for CBCT systems.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Alan Safari, Danilo Erricolo
Summary: The use of unmanned aerial vehicles for high-frequency measurements is a cutting-edge technology that has recently attracted attention, with applications including antenna measurements, mobile network tests, and RF imaging.
IEEE ANTENNAS AND PROPAGATION MAGAZINE
(2022)
Article
Optics
Zdenek Hradil, Dominik Koutny, Jaroslav Rehacek
Summary: The resolution of partially coherent superpositions is limited by the resolution of incoherent mixtures, but can be enhanced by controlled preparation to several orders of magnitude above this limit. Coherence also allows information about various parameters to be sorted into distinct channels.
Article
Physics, Multidisciplinary
Libor Motka, Martin Paur, Jaroslav Rehacek, Zdenek Hradil, Luis L. Sanchez-Soto
Summary: The study shows that quantum state tomography with perfect knowledge of the measurement apparatus can be inferior to strategies that discard information about the measurement, particularly in scenarios with minimal informationally complete measurement settings. In these cases, the trade-off between larger uncertainty about the measurement and smaller uncertainty about the reconstructed signal is more pronounced.
NEW JOURNAL OF PHYSICS
(2021)
Review
Chemistry, Multidisciplinary
Cristoforo Abbattista, Leonardo Amoruso, Samuel Burri, Edoardo Charbon, Francesco Di Lena, Augusto Garuccio, Davide Giannella, Zdenek Hradil, Michele Iacobellis, Gianlorenzo Massaro, Paul Mos, Libor Motka, Martin Paur, Francesco Pepe, Michal Peterek, Isabella Petrelli, Jaroslav Rehacek, Francesca Santoro, Francesco Scattarella, Arin Ulku, Sergii Vasiukov, Michael Wayne, Claudio Bruschini, Milena D'Angelo, Maria Ieronymaki, Bohumil Stoklasa
Summary: The research focuses on the design and implementation of quantum plenoptic cameras which offer advantages such as diffraction-limited resolution and low noise, but face challenges of long acquisition times and time-consuming data processing.
APPLIED SCIENCES-BASEL
(2021)
Editorial Material
Engineering, Electrical & Electronic
Gregory Slepyan, Svetlana Vlasenko, Dmitri Mogilevtsev, Amir Boag
IEEE ANTENNAS AND PROPAGATION MAGAZINE
(2022)
Article
Nanoscience & Nanotechnology
Lena Golubewa, Tatsiana Kulahava, Aliona Klimovich, Danielis Rutkauskas, Ieva Matulaitiene, Renata Karpicz, Nikita Belko, Dmitri Mogilevtsev, Alena Kavalenka, Marina Fetisova, Petri Karvinen, Yuri Svirko, Polina Kuzhir
Summary: In this study, it is demonstrated that green fluorescence graphene quantum dots can detect the presence of hypochlorous acid and selectively detect reactive chlorine species produced by neutrophils. Changes in the fluorescence of GQDs under different conditions make them a promising sensing agent for biomedical applications.
Article
Chemistry, Physical
Nikita Belko, Lena Golubewa, Vyacheslav Chizhevsky, Sopfy Karuseichyk, Dmitry Filimonenko, Marija Jankunec, Hamza Rehman, Tatsiana Kulahava, Polina Kuzhir, Dmitri Mogilevtsev
Summary: This study discusses the fluorescence properties of aggregated ensembles of graphene quantum dots, demonstrating temperature dependence and stochastic emission characteristics. The results show complicated temperature-dependent intermittent emission, indicating a tendency for shorter blinking times with increasing temperature.
JOURNAL OF PHYSICAL CHEMISTRY C
(2022)
Article
Optics
I Peshko, D. Pustakhod, D. Mogilevtsev
Summary: In this paper, the authors demonstrate how designed loss in open quantum systems can disrupt the reciprocity of field propagation and enable non-reciprocal and even unidirectional propagation. They discuss the possibility of achieving unidirectional propagation for input states with certain symmetry in linear schemes, as well as the feasibility of building a single-mode optical insulator using two types of nonlinear designed losses, and a non-reciprocal asymmetric field distributor with a planar structure of dissipatively coupled waveguides. The authors also suggest potential realizations for these schemes.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS
(2022)
Article
Physics, Applied
Gregory Ya Slepyan, Dmitri Mogilevtsev, Ilay Levie, Amir Boag
Summary: This article proposes a numerical technique for modeling quantum multimodal light scattering by a perfectly conducting body. By calculating the field correlation functions, it demonstrates how scattering affects quantum statistical features of the field. Using the example of scattering of two single-photon incident Gaussian beams on a cylinder, it shows two-photon interference and the Hong-Ou-Mandel effect. The scattered two-photon field and its correlations exhibit directive propagation, controllable by various means. This method is expected to be useful for designing quantum-optical devices.
PHYSICAL REVIEW APPLIED
(2022)
Article
Physics, Multidisciplinary
V. P. Stefanov, V. N. Shatokhin, D. S. Mogilevtsev, S. Ya. Kilin
Summary: Quantum trajectories are essential for understanding the evolution of open systems. In this study, we analyze an open cavity mode undergoing multistate quantum jumps due to photon emission and absorption. We prove that among all subtrajectories starting from different photon number states, only one survives in a long single-run evolution. By processing the record of input and output photocounts along with the trajectory duration, we can determine the known random Fock state in the ergodic case.
PHYSICAL REVIEW LETTERS
(2022)
Article
Quantum Science & Technology
Svetlana Vlasenko, Alexander Mikhalychev, Samaneh Pakniyat, George Hanson, Amir Boag, Gregory Slepyan, Dmitri Mogilevtsev
Summary: This article demonstrates the emulation of several fundamental quantum mechanical experiments using coherent states with a large number of photons. These experiments include Hong-Ou-Mandel interference, phase measurements with NOON states, and specifically structured revivals in the Jaynes-Cummings model. Additionally, the article shows that certain classes of bright non-classical states can be efficiently emulated using this technique, regardless of the average photon number of these states.
ADVANCED QUANTUM TECHNOLOGIES
(2023)
Article
Materials Science, Multidisciplinary
I. Peshko, G. Ya. Slepyan, D. Mogilevtsev
Summary: We investigate the behavior of a coherent random walk in a perfectly periodic chain of bosonic modes with designed loss. The study reveals that the initial state of the chain can lead to various anomalous transfer regimes, including hyperballistic transport, subdiffusive regime, localization, or a change in long-time diffusion rate. We provide practical methods for realizing these anomalous transport regimes in laser-written networks of single-mode waveguides or integrated photonic platforms.
Article
Optics
Dominik Koutny, Libor Motka, Zdenek Hradil, Jaroslav Rehacek, Luis L. Sanchez-Soto
Summary: Researchers revisit the application of neural networks to quantum state tomography and confirm that the positivity constraint can be successfully implemented through training. Their findings suggest that this approach can be used for quantum state reconstruction under various types of noise.
Article
Optics
A. Mikhalychev, Y. S. Teo, H. Jeong, A. Stefanov, D. Mogilevtsev
Summary: The study proposes a method to emulate quantum phenomena using a finite set of mixtures of coherent states. This allows for easier generation in the laboratory and successful reproduction of well-known quantum effects.
Article
Physics, Multidisciplinary
Syamsundar De, Jano Gil-Lopez, Benjamin Brecht, Christine Silberhorn, Luis L. Sanchez-Soto, Zdenek Hradil, Jaroslav Rehacek
Summary: This study investigates the effect of coherence on estimating temporal separations between two single-photon pulses. Proper normalization of quantum Fisher information is crucial for accurate interpretation, taking into account the strength of the signal.
PHYSICAL REVIEW RESEARCH
(2021)
