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arXiv 2024年

作者： Wang, Ping Chen, Chong Liao, Hao Vorobyov, Vadim V. Wrachtrup, Jörg Liu, Ren-Bao College of Education for the Future Beijing Normal University Zhuhai519087 China Department of Physics The Chinese University of Hong Kong New Territories Shatin Hong Kong Centre for Quantum Coherence The Chinese University of Hong Kong New Territories Shatin Hong Kong The Hong Kong Institute of Quantum Information Science and Technology The Chinese University of Hong Kong New Territories Shatin Hong Kong National Engineering Laboratory on Big Data System Computing Technology Guangdong Province Engineering Center of China-made High Performance Data Computing System College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China 3rd Institute of Physics Research Center SCoPE and IQST University of Stuttgart Stuttgart70569 Germany New Cornerstone Science Laboratory The Chinese University of Hong Kong New Territories Shatin Hong Kong

Test of macroscopic realism (MR) is key to understanding the foundation of quantum mechanics. Due to the existence of the non-invasive measurability loophole and other interpretation loopholes, however, such test remains an open question. Here we propose a general inequality based on high-order correlations of measurements for a loophole-free test of MR at the weak signal limit. Importantly, the inequality is established using the statistics of raw data recorded by classical devices, without requiring a specific model for the measurement process, so its violation would falsify MR without the interpretation loophole. The non-invasive measurability loophole is also closed, since the weak signal limit can be verified solely by measurement data (using the relative scaling behaviors of different orders of correlations). We demonstrate that the inequality can be broken by a quantum spin model. The inequality proposed here provides an unambiguous test of the MR principle and is also useful to characterizing quantum coherence. Copyright © 2024, The Authors. All rights reserved.

关键词： Quantum theory

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Spatiotemporal Hologram

arXiv

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arXiv 2024年

作者： Cao, Qian Zhang, Nianjia Chong, Andy Zhan, Qiwen School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Zhangjiang Laboratory Shanghai China University of Shanghai for Science and Technology Shanghai Key Laboratory of Modern Optical System Shanghai China Department of Physics Pusan National University Busan46241 Korea Republic of Institute for Future Earth Pusan National University Busan46241 Korea Republic of Westlake Institute for Optoelectronics Hangzhou Fuyang311421 China

Spatiotemporal structured light has opened up new avenues for optics and photonics. Current spatiotemporal manipulation of light mostly relies on phase-only devices such as liquid crystal spatial light modulator to generate spatiotemporal optical fields with unique photonic properties. However, simultaneous manipulation of both amplitude and phase of the complex field for the spatiotemporal light is still lacking, limiting the diversity and richness of achievable photonic properties. In this work, a simple and versatile spatiotemporal holographic method that can arbitrarily sculpture the spatiotemporal light is presented. The capabilities of this simple yet powerful method are demonstrated through the generation of fundamental and higher-order spatiotemporal Bessel wavepacket, spatiotemporal crystal-like and quasi-crystal-like structures, and spatiotemporal flat-top wavepackets. Fully customizable spatiotemporal wavepackets will find broader application in investigating the dynamics of spatiotemporal fields and interactions between ultrafast spatiotemporal pulses and matters, unveiling previously hidden light-matter interactions and unlocking breakthroughs in photonics and beyond. © 2024, CC BY.

关键词： Holograms

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Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning

arXiv

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arXiv 2024年

作者： Wang, Jingyao Mou, Luntian Zheng, Changwen Gao, Wen The University of Chinese Academy of Sciences Beijing100049 China The National Key Laboratory of Space Integrated Information System Institute of Software Chinese Academy of Sciences Beijing100086 China Beijing Institute of Artiicial Intelligence Faculty of Information Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Multimedia and Intelligent Software Technology Beijing100124 China The School of Electronics Engineering and Computer Science Peking University Beijing100871 China

Freeform handwriting authentication verifies a person’s identity from their writing style and habits in messy handwriting data. This technique has gained widespread attention in recent years as a valuable tool for various fields, e.g., fraud prevention and cultural heritage protection. However, it still remains a challenging task in reality due to three reasons: (i) severe damage, (ii) complex high-dimensional features, and (iii) lack of supervision. To address these issues, we propose SherlockNet, an energy-oriented two-branch contrastive self-supervised learning framework for robust and fast freeform handwriting authentication. It consists of four stages: (i) pre-processing: converting manuscripts into energy distributions using a novel plug-and-play energy-oriented operator to eliminate the influence of noise;(ii) generalized pre-training: learning general representation through two-branch momentum-based adaptive contrastive learning with the energy distributions, which handles the high-dimensional features and spatial dependencies of handwriting;(iii) personalized fine-tuning: calibrating the learned knowledge using a small amount of labeled data from downstream tasks;and (iv) practical application: identifying individual handwriting from scrambled, missing, or forged data efficiently and conveniently. Considering the practicality, we construct EN-HA, a novel dataset that simulates data forgery and severe damage in real applications. Finally, we conduct extensive experiments on six benchmark datasets including our EN-HA, and the results prove the robustness and efficiency of SherlockNet. We will release our code and dataset at https://***/WangJingyao07/SherlockNet. Copyright © 2024, The Authors. All rights reserved.

关键词： Self-supervised learning

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Distributed strategy-updating rules for aggregative games of multi-integrator systems with coupled constraints

arXiv

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arXiv 2021年

作者： Cai, Xin Xiao, Feng Wei, Bo The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources The School of Control and Computer Engineering North China Electric Power University Beijing102206 China The School of Electrical Engineering Xinjiang University Urumqi830047 China The School of Control and Computer Engineering North China Electric Power University Beijing102206 China

In this paper, we explore aggregative games over networks of multi-integrator agents with coupled constraints. To reach the general Nash equilibrium of an aggregative game, a distributed strategy-updating rule is proposed by a combination of the coordination of Lagrange multipliers and the estimation of the aggregator. Each player has only access to partial-decision information and communicates with his neighbors in a weight-balanced digraph which characterizes players' preferences as to the values of information received from neighbors. We first consider networks of double-integrator agents and then focus on multi-integrator agents. The effectiveness of the proposed strategy-updating rules is demonstrated by analyzing the convergence of corresponding dynamical systems via the Lyapunov stability theory, singular perturbation theory and passive theory. Numerical examples are given to illustrate our *** Codes 91A99, 93A14, 93A16 Copyright © 2021, The Authors. All rights reserved.

关键词： Game theory

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EDM: Synthetic Data from Exemplar Diffusion Model Improves Non-Communicable Diseases Detection

EDM: Synthetic Data from Exemplar Diffusion Model Improves N...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Xing Wu Zhi Li Junfeng Yao Quan Qian Jian Zhang Qun Sun Yike Guo Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China School of Computer Engineering and Science Shanghai University Shanghai China CSSC Seago System Technology Co. Ltd Shanghai China Shanghai Universal Medical Imaging Diagnostic Center Shanghai Chin Shanghai Sixth People’s Hospital Shanghai JiaoTong University Shanghai China Hong Kong University of Science and Technology Hong Kong SAR China

There have been researches revealing obvious associations between facial phenotypes and non-communicable diseases (NCDs), which enables effective health assessment with the integration of model-based learning methods. However, the paucity and poor quality of available datasets hinder the development of potent algorithms to detect NCDs. To meet this challenge, we propose a method called Exemplar Diffusion Model (EDM), the objective of proposed EDM is to generate facial images that illustrate simulated non-communicable diseases, utilizing a normal facial image as input. Extensive experimental results show that the proposed EDM method outperforms the state-of-the-art methods in terms of Frechet Inception Distance (FID) and Quality Score (QS), with improvements of 0.11 and 0.74, respectively. Furthermore, comprehensive ablation studies and comparative experiments prove the value of proposed EDM method in large-scale facial image dataset generation and non-communicable disease detection.

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A Star-Structured LC Resonant Switched Capacitor Equalizer for Lithium-ion Battery Strings 4

A Star-Structured LC Resonant Switched Capacitor Equalizer f...

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4th IEEE International Future Energy Electronics Conference, IFEEC 2019

作者： Kumar Das, Utpal Soon Tey, Kok Idna Idris, Mohd Yamani Mekhilef, Saad University of Malaya Department of Computer System and Technology Malaysia Department of Electrical Engineering Malaysia

ISBN: (纸本)9781728131535

The enhancement of balancing speed as well as fully equalization is a great challenge in switched capacitor (SC) based cell voltage equalizers. In this study, a star-structured LC resonant SC equalizer is proposed to equalize the unbalance cell voltages completely within minimum time. An inductor is used in series with each capacitors of the proposed equalizer. The designing procedure confirms the zero-current-switching (ZCS) and zero-voltage-gap (ZVG). ZCS reduces the switching loss by removing the current spike during the switching periods. ZVG confirms the complete voltage equalization among the cells. The star structure reduces the balancing time by creating the direct any-cell-to-any-cell paths for exchanging the excess energy among the cells. The MOSFET is used as switches and only a pair of complementary PWM signal is used to operate the whole circuit. The proposed equalizer is validated in both simulation and experimentally. Results show that the proposed equalizer performs better compare to the conventional equalizers especially in balancing time and complete equalization. © 2019 IEEE.

关键词： Lithium-ion batteries

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Performance Analysis Model of IEEE 802.11 CSMA/CA for Multi-BSS Environment

Performance Analysis Model of IEEE 802.11 CSMA/CA for Multi-...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Ryuhei Kajihara Han Wenkai Leonardo Lanante Masayuki Kurosaki Hiroshi Ochi Dept. Computer Science and System Engineering Kyushu Institute of Technology Iizuka Japan

ISBN: (数字)9781728144900

ISBN: (纸本)9781728144917

The Markov chain based model by Bianchi for IEEE802.11 distributed controlled access is a highly accurate analytical tool for estimating the system throughput when a single Basic Service Set (BSS) network operates in isolation. However, with the increase of wireless LAN access points being deployed on the same area, an environment with multiple BSS interfering with each other has become the default network scenario. The purpose of this work is to extend the single BSS Markov chain model into a multi-BSS model by incorporating the influence of STAs' interference range and carrier sense range to their own transmission and collision probabilities. We verify the proposed multi-BSS analytical model using the latest version of the ns-3 simulator which has recently supported accurate PHY abstractions for multi-BSS simulation. We show that the proposed model has a high accuracy (within 1%) independent of the multi-BSS network topology.

关键词： Throughput Markov processes Analytical models Wireless LAN Interference Land mobile radio Sensors

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IP Geolocation Accuracy Evaluation Based on Crowdsourcing

IP Geolocation Accuracy Evaluation Based on Crowdsourcing

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作者： Guangyu Zhu Guoming Ren Xiang Li Xiaoye Li Yongpeng Ti National Computer System Engineering Research Institute of China Zhengzhou Aiwen Computer Technology Co. Ltd.

IP geolocation is a crucial technology in the study of many fields, such as network measurement, fraud detection, and location-based advertising, etc. For over a decade, numerous researches and applications in this area have gained significant advances. In recent years, since more and more physical devices are connected to cyberspace, evaluating the accuracy of IP geolocation has gained much more attentions. In this paper, we first illustrate the concept and applications of the IP geolocation. Then, we design and propose an evaluation method on IP geolocation accuracy based on crowdsourcing. We evaluate the accuracy of a popular high-precision IP geolocation system and find out it reaches 98.88% correct on citylevel geolocation, and the median error distance of street-level geolocation is 0.13 km. Finally, the future development direction of IP geolocation accuracy evaluation is discussed.

关键词： IP geolocation Accuracy Evaluation Crowdsourcing

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An Evolutionary Algorithm Inspired by Evolution of Birdsong Grammars to Quickly Obtain Practical Solutions to Large-scaled Problems

An Evolutionary Algorithm Inspired by Evolution of Birdsong ...

引用

International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Naomichi Tabata Kei Ohnishi Graduate School of Computer Science and System Engineering Kyushu Institute of Technology Iizuka Japan

ISBN: (数字)9781728197326

ISBN: (纸本)9781728197333

We propose an evolutionary algorithm inspired by evolution of birdsong grammars. The proposed algorithm is designed to quickly obtain practical solutions to large-scaled problems. The main mechanism for obtaining practical solutions quickly is to represent solution candidates in a compact way using grammars, that is to say, to make the search space smaller than the original one using grammars. Also, we apply the algorithm to a large-scaled OneMax problem and its variants. The simulation results show that the algorithm tends to quickly produce solution candidates with simple bit patterns and with not so bad fitness values for large-scaled problems as a bit pattern of the global optimum becomes more random. That can be considered as that practical solutions to large-scaled problems are obtained quickly. It is also shown that when the problem size is smaller, the algorithm tends to produce a precise bit pattern of the global optimum.

关键词： Grammar Evolutionary computation Statistics Sociology Birds systems engineering and theory Simulation

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Detection of COVID-19 from Chest Radiographs: Comparison of Four End-to-End Trained Deep Learning Models 27

Detection of COVID-19 from Chest Radiographs: Comparison of ...

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27th National and 5th International Iranian Conference of Biomedical engineering, ICBME 2020

作者： Paima, Saman Sotoudeh Hasanzadeh, Navid Jodeiri, Ata Soltanian-Zadeh, Hamid University of Tehran Cipce School of Electrical and Computer Engineering Tehran Iran Medical Image Analysis Lab. Departments of Radiology and Research Administration Henry Ford Health System DetroitMI United States

ISBN: (纸本)9781665419550

The coronavirus disease (COVID-19), which has been declared as a pandemic by the World Health Organization (WHO), is an infectious disease killing more than 660,000 people worldwide. During this challenge, Deep learning, a subset of artificial intelligence, could be used as an effective tool for assisting radiologists in detecting COVID-19 cases, as well as reducing the burden on healthcare systems. Correct detection of COVID-19 cases using X-ray images could help quarantine high-risk patients until a thorough examination is followed. In this study, we aim to compare four state-of-the-art deep learning models (VGG-16, VGG-19, EfficientNetB0, and ResNet50) using 464 chest X-ray images of COVID-19 and normal cases. A classification head is added to all these models in order to achieve the best performance. The VGG-19 model achieved the best performance in terms of AUROC among all the tested models with a value of 0.91. Also, the heatmaps of X-ray images are provided, which could be used to specify the disease's area within the lung. © 2020 IEEE.

关键词： COVID-19

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