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IEEE International Conference on Multimedia and Expo (ICME)

作者： Jingru Ren Zhi Liu Gongyang Li Xiaofei Zhou Cong Bai Guangling Sun Shanghai Institute for Advanced Communication and Data Science Shanghai University China Institute of Information and Control Hangzhou Dianzi University China College of Computer Science Zhejiang University of Technology China School of Communication and Information Engineering Shanghai University China

ISBN: (数字)9781728113319

ISBN: (纸本)9781728113326

Co-saliency detection, as a developing research branch of saliency detection, devotes to identify the common salient objects in a group of related images. The major challenge of co-saliency detection is how to effectively represent features considering both intra-image and inter-image information. In this paper, we propose a co-saliency detection model using collaborative feature extraction and high-to-low feature integration. We first feed the target image and its co-images into the Individual Feature Extraction Module (IFEM) to produce multi-level individual features. Then, to capture the collaborative inter-image information, the Collaborative Feature Extraction Module (CFEM) is applied to all highest-level individual features, generating the collaborative feature. Finally, we build a High-to-low Feature Integration Module (HFIM), which integrates the collaborative feature and multi-level individual features of the target image, to enrich the collaborative feature with individual intra-image information. Extensive experiments on two public datasets demonstrate that the proposed model achieves the state-of-the-art performance.

关键词： Feature extraction Collaboration Correlation Cats Computational modeling Task analysis Visualization

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Intelligent embedded sensor based accident detection system and prevention system

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AIP Conference Proceedings 2022年第1期2519卷

作者： T. Dineshkumar R. Puviarasi K. Radhika T. Mangayarkarasi 1Department of Electronics and Communication Engineering Kongunadu College of Engineering and Technology Namakkal-Trichy Main Road Thottiam Tamil Nadu India 2Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Thandalam Tamil Nadu India 3Department of Electronics and Communication Engineering Geethanjali Institute of Science and Technology Nellore Andhra Pradesh India 4Department of Instrumentation and Control Engineering Sri Sairam Engineering College Chennai Tamil Nadu India

Many accidents now take place due to over-speed, drowsiness and drunken drivers. Statistics show that every four minutes people die in 2017 because of traffic crashes and thousands of accidents in India, which are higher in numbers than any other accidents, where people have died. But in the case of rescue indicators their lives may have been spared. We are also going to incorporate our thoughts on steps to mitigate the crash and precautionary measures. This proposal immediately identifies the precise location of the crash by GPS and allows GSM to transmit the data to the nearest rescue car, the police department and the individual’s family members. Accident can be detected by the accelerometer sensor and accident magnitude can be detected by the tilt sensor. The tilt angle of the chassis can be monitored. The driver’s sleepiness can be detected with a DMD. The driver’s somnolence is sensed and the driver is alerted by alarm by calculating the percentage of eyelid closing over the period. Through this tool, the speed of a car can be measured, who is responsible for the crash and the direction of GPS can be seen with the mobile theft detection program. Both data can be analyzed using the sensor value in a microcontroller and sent to the cloud site. The main benefits of the device are cost efficient, stable and victim-friendly, fast savings in energy usage, greater precision, time efficiency and the risk of human error are reduced.

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Research on Night Driving Fatigue Detection Based on Infrared Active Vision

Research on Night Driving Fatigue Detection Based on Infrare...

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作者： Cai-ping CHAI Li-Min GUAN Hui-feng WANG School of Highway & Railway engineering Shaanxi College of Communication Technology School of Electronic &Control Engineering Chang'an University

Night is the period of fatigue for drivers and of accidents *** night,Ambient lighting is weak,and the full-in light of visible light influence the normal *** to these conditions,a infrared active vision fatigue detection design for night driving is ***,the 940 nm light source with no red is adopted to perform fill-in light,by which imaging quality is developed and the interference of ambient light is ***,the existing fatigue detection algorithm is *** location and tracing is realized with STdaboost and KLT *** are located by gray-level integration method for Gabor transformation,which increases the accuracy of eye ***,the fatigue is judged by PERCLOS *** experiment results show that the proposed algorithm can detect fatigue driving around the clock,and the accuracy of eye positioning is more than 90%,the accuracy of eye state recognition is more than 87%.The proposed method can resolve the problem about driving fatigue at night,so there is great significance for lowering the risk of traffic accidents especially at night.

关键词： Intelligent transportation Night driving fatigue Infrared active illumination Eye localization KLT tracking Gabor transform Parabolic fit

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Limitations on sharing Bell nonlocality between sequential pairs of observers

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Physical Review A 2021年第6期104卷 L060201-L060201页

作者： Shuming Cheng Lijun Liu Travis J. Baker Michael J. W. Hall The Department of Control Science and Engineering Tongji University Shanghai 201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 201804 China Institute for Advanced Study Tongji University Shanghai 200092 China College of Mathematics and Computer Science Shanxi Normal University Linfen 041000 China Centre for Quantum Computation and Communication Technology (Australian Research Council) Centre for Quantum Dynamics Griffith University Brisbane QLD 4111 Australia Department of Theoretical Physics Research School of Physics Australian National University Canberra ACT 0200 Australia

We give strong analytic and numerical evidence that, under mild measurement assumptions, two qubits cannot both be recycled to generate Bell nonlocality between multiple independent observers on each side. This is surprising, as under the same assumptions it is possible to recycle just one of the qubits an arbitrarily large number of times [P. J. Brown and R. Colbeck, Phys. Rev. Lett. 125, 090401 (2020)]. We derive corresponding one-sided monogamy relations that rule out two-sided recycling for a wide range of parameters, based on a general tradeoff relation between the strengths and maximum reversibilities of qubit measurements. We also show if the assumptions are relaxed to allow sufficiently biased measurement selections, then there is a narrow range of measurement strengths that allows two-sided recycling for two observers on each side, and propose an experimental test. Our methods may be readily applied to other types of quantum correlations, such as steering and entanglement, and hence to general information protocols involving sequential measurements.

关键词： Nonlocality Quantum correlations in quantum information

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Optimal control of linear Gaussian quantum systems via quantum learning control

arXiv

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arXiv 2024年

作者： Liu, Yu-Hong Zeng, Yexiong Tan, Qing-Shou Dong, Daoyi Nori, Franco Liao, Jie-Qiao Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan Province Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Theoretical Quantum Physics Laboratory Cluster for Pioneering Research RIKEN Wakoshi Saitama351-0198 Japan Quantum Computing Center RIKEN Wakoshi Saitama351-0198 Japan Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communication College of Physics and Electronics Hunan Institute of Science and Technology Yueyang414000 China School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia Department of Physics The University of Michigan Ann ArborMI48109-1040 United States Institute of Interdisciplinary Studies Hunan Normal University Changsha410081 China

Efficiently controlling linear Gaussian quantum (LGQ) systems is a significant task in both the study of fundamental quantum theory and the development of modern quantum technology. Here, we propose a general quantum-learning-control method for optimally controlling LGQ systems based on the gradient-descent algorithm. Our approach flexibly designs the loss function for diverse tasks by utilizing first- and second-order moments that completely describe the quantum state of LGQ systems. We demonstrate both deep optomechanical cooling and large optomechanical entanglement using this approach. Our approach enables the fast and deep ground-state cooling of a mechanical resonator within a short time, surpassing the limitations of sideband cooling in the continuous-wave driven strong-coupling regime. Furthermore, optomechanical entanglement could be generated remarkably fast and surpass several times the corresponding steady-state entanglement, even when the thermal phonon occupation reaches one hundred. This work will not only broaden the application of quantum learning control, but also open an avenue for optimal control of LGQ systems. Copyright © 2024, The Authors. All rights reserved.

关键词： Cooling

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Pose Estimation of a Single Circle Based on 1D Homography

Pose Estimation of a Single Circle Based on 1D Homography

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2019第十一届数字图像处理国际会议

作者： Lv Yao-Wen Xu Zicheng Liu Wei Xu Xi-Ping Key laboratory of optoelectronic measurement and control and optical information transmission technology ministry of education College of optoelectronic engineering Changchun University of science and technology College of communication engineering Jilin University

Circular target has an important application in pose estimation based on vision by the virtue of anti-occlusion,anti-noise and easy recognition on the *** paper focuses on the pose estimation problem when the projection of circle center is determined,and a pose calculation method is proposed based on 1 D ***,under the normalized image coordinates,a homography matrix is determined from three points,one is the projection of circle center,the other two are the intersections of the line through the projected center and the projected *** to the geometrical properties of the homography matrix,a linear method for computing the circular pose from multiple homography matrices is ***,the reprojection errors of image points are taken as the objective function to optimize the linear solution ***,the proposed method is compared with the two existing pose estimation methods through *** experimental results show that the proposed method is slightly superior to the existing methods in terms of anti-noise performance and has obvious advantages in remote pose estimation.

关键词： machine vision pose estimation circle 1D homography

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Generation and storage of spin squeezing via learning-assisted optimal control

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Physical Review A 2021年第3期103卷 032601-032601页

作者： Qing-Shou Tan Mao Zhang Yu Chen Jie-Qiao Liao Jing Liu Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communication College of Physics and Electronics Hunan Institute of Science and Technology Yueyang 414000 China MOE Key Laboratory of Fundamental Physical Quantities Measurement Hubei Key Laboratory of Gravitation and Quantum Physics PGMF and School of Physics Huazhong University of Science and Technology Wuhan 430074 China Tencent Lightspeed and Quantum Studios Shenzhen 518000 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan Province and Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha 410081 China

The generation and storage of spin squeezing is an attractive topic in quantum metrology and the foundation of quantum mechanics. The major models to realize the spin squeezing are the one- and two-axis twisting models. Here, we consider a collective spin system coupled to a bosonic field, and show that proper constant-value controls in this model can simulate the dynamical behavior of these two models. More interestingly, a better performance of squeezing can be obtained when the control is time varying, which is generated via a reinforcement learning algorithm. However, this advantage becomes limited if the collective noise is involved. To deal with this, we propose a four-step strategy for the construction of a type of combined controls, which include both constant-value and time-varying controls, but performed at different time intervals. Compared to the full time-varying controls, the combined controls not only give a comparable minimum value of the squeezing parameter over time, but also provide a better lifetime and larger full amount of squeezing. Moreover, the amplitude form of a combined control is simpler and more stable than the full time-varying control. Therefore, our scheme is very promising to be applied in practice to improve the generation and storage performance of squeezing.

关键词： Machine learning Quantum control Quantum metrology

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Root Loci Analysis of a Simple Quasi-Polynomial and Its Use for Relay-Based Parameter Identification of a Delayed Infinite-Dimensional Heat-Exchanger Process

Research Square

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Research Square 2021年

作者： Pekař, Libor Song, Mengjie Padhee, Subhransu Dostálek, Petr Zezulka, František Department of Technical Studies College of Polytechnics Jihlava Tolstého 1556 Jihlava586 01 Czech Republic Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín nám. T. G. Masaryka 5555 Zlín760 01 Czech Republic Department of Energy and Power Engineering School of Mechanical Engineering Beijing Institute of Technology Engine East Building 125 Beijing100081 China Department of Electrical and Electronics Engineering Institute of Information Technology Sambalpur University Burla Odisha 769018 India Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Technická 3082/12 Královo Pole Brno616 00 Czech Republic

The focus of this contribution is twofold. The first part aims at the rigorous and complete analysis of pole loci of a simple delayed model, the characteristic function of which is represented by a quasi-polynomial with a non-delay and a delay parameter. The derived spectrum constitutes an infinite set, making it a suitable and simple-enough representative of even high-order process dynamics. The second part intends to apply the simple infinite-dimensional model for relay-based parameter identification of a more complex model of a heating-cooling process with heat exchangers. Processes of this type and construction are widely used in industry. The identification procedure has two substantial steps. The first one adopts the simple model with a low computational effort using the saturated relay that provides a more accurate estimation than the standard on/off test. Then, this result is transformed to the estimation of the initial characteristic equation parameters of the complex infinite-dimensional heat-exchanger model using the exact dominant-pole-loci assignment. The benefit of this technique is that multiple model parameters can be estimated under a single relay test. The second step attempts to estimate the remaining model parameters by various numerical optimization techniques and also to enhance all model parameters via the Autotune Variation Plus relay experiment for comparison. Although the obtained unordinary time and frequency domain responses may yield satisfactory results for control tasks, the identified model parameters may not reflect the actual values of process physical quantities. © 2021, CC BY.

关键词： Optimization

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[email protected] nanorods：Synthesis and their wide controllable range for the local surface plasmon

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Optical Materials 2022年 134卷

作者： Wenlong Yang Xingchen Meng Xinmei Liu Liuyang Zhang Chenwei Wang Xiaoyang Yu Ying Yang School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin 150080 PR China Key Laboratory of Laser Spectroscopy Technology and Application of Heilongjiang Province Harbin 150080 PR China State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing 210016 PR China School of Material Science and Chemical Engineering Harbin University of Science and Technology Harbin 150080 PR China

This work demonstrated the wide controllable range of the Local Surface Plasmon Resonance (LSPR) characteristic peak of the KTa x-1 Nb x O 3 @Ag ( [email protected] ). [email protected] nanocubes ( [email protected] NCs) and [email protected] nanorods ( [email protected] NRs) with different Ag loading rate have been prepared. Compared with [email protected] NCs, the LSPR characteristic peak of [email protected] NRs showed a wider controllable range and the enhanced factor could reach 5.48. This result could be derived from the higher aspect ratio of [email protected] NRs, resulting in an enhanced the coupling effect between KTN and Ag. This viewpoint could also be verified by the FDTD (Finite-Difference Time-Domain) calculation. With the increase of Ag loading rate, the coupling between KTN and Ag was weakened. And the characteristic peak of [email protected] show a blue shift, which shifts to the characteristic peak of Ag nanocrystal gradually. With the increase of Ag loading rate from 11 to 21 wt%, the LPSR characteristic peak of [email protected] NCs showed a blue shift from 569 to 547 nm, whereas peak for [email protected] NRs was shifted from 762 to 646 nm. This work combined the coupling effect of nanostructured KTN and Ag nanocrystals. And the anisotropy would be beneficial to broaden the LSPR controllable range of the characteristic extinction spectra of [email protected] Considering the low price of KTN, the [email protected] NRs should be a promising material applied in optical detection devices.

关键词： FDTD calculation LSPR Coupling effect Loading rate Blue shift

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Characterizing human collective behaviours of COVID-19 in Hong Kong

arXiv

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arXiv 2022年

作者： Du, Zhanwei Zhang, Xiao Wang, Lin Yao, Sidan Bai, Yuan Tan, Qi Xu, Xiaoke Pei, Sen Xiao, Jingyi Tsang, Tim K. Liao, Qiuyan Lau, Eric H.Y. Wu, Peng Gao, Chao Cowling, Benjamin J. WHO Collaborating Centre for Infectious Disease Epidemiology and Control School of Public Health Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong Laboratory of Data Discovery for Health Hong Kong Science and Technology Park New Territories Hong Kong Department of Genetics University of Cambridge CambridgeCB2 3EH United Kingdom Singapore College of Information and Communication Engineering Dalian Minzu University Dalian China Department of Environmental Health Sciences Mailman School of Public Health Columbia University New YorkNY10032 United States Northwestern Polytechnical University Xi'An China

People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Hong Kong has implemented stringent public health and social measures (PHSMs) to curb COVID-19 epidemic waves since the first COVID-19 case was confirmed on 22 January 2020. People are likely to engage in collective behaviour online during extreme events, such as the COVID-19 crisis, to express their awareness, actions and concerns. Here, we offer a framework to evaluate interactions among individuals' emotions, perception, and online behaviours in Hong Kong during the first two waves (February to June 2020) and found a strong correlation between online behaviours of Google search and the real-time reproduction numbers. To validate the model output of risk perception, we conducted 10 rounds of cross-sectional telephone surveys from February 1 through June 20 in 2020 to quantify risk perception levels over time. Compared with the survey results, the estimates of the risk perception of individuals using our network-based mechanistic model capture 80% of the trend of people's risk perception (individuals who worried about being infected) during the studied period. We may need to reinvigorate the public by engaging people as part of the solution to live their lives with reduced risk. © 2022, CC BY-NC-ND.

关键词： Risk perception

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