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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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Deep Spectrum Prediction in High Frequency communication Based on Temporal-Spectral Residual Network

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China communications 2018年第9期15卷 25-34页

作者： Ling Yu Jin Chen Yuming Zhang Huaji Zhou Jiachen Sun College of Communications Engineering Army Engineering University of PLA Nanjing 210000 China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033 China

High frequency(HF) communication is widely spread due to some merits like easy deployment and wide communication coverage. Spectrum prediction is a promising technique to facilitate the working frequency selection and enhance the function of automatic link establishment. Most of the existing spectrum prediction algorithms focus on predicting spectrum values in a slot-by-slot manner and therefore are lack of timeliness. Deep learning based spectrum prediction is developed in this paper by simultaneously predicting multi-slot ahead states of multiple spectrum points within a period of time. Specifically, we first employ supervised learning and construct samples depending on longterm and short-term HF spectrum data. Then, advanced residual units are introduced to build multiple residual network modules to respectively capture characteristics in these data with diverse time scales. Further, convolution neural network fuses the outputs of residual network modules above for temporal-spectral prediction, which is combined with residual network modules to construct the deep temporal-spectral residual network. Experiments have demonstrated that the approach proposed in this paper has a significant advantage over the benchmark schemes.

关键词： HF communication deep learning spectrum prediction temporal-spectral residual network

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A MAC Protocol Identification Approach Based on Convolutional Neural Network

A MAC Protocol Identification Approach Based on Convolutiona...

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International Conference on Wireless communications and Signal Processing (WCSP)

作者： Xutong Zhang Weiguo Shen Jianliang Xu Zitong Liu Guoru Ding Colledge of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information Technology Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC Jiaxing China College of Communication Engineering Army Engineering University Nanjing China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

The medium access control (MAC) protocol identification is of great application value in cognitive radio. In order to realize the MAC protocol identification with high accuracy and avoid manual feature extraction, we convert the sampled data into the form of spectrogram. Then, a graphical scheme which combines the convolutional neural network (CNN) and the spectrogram is proposed. The simulation includes CNN method and support vector machine (SVM) method. It is suggested that the CNN method has better identification performance.

关键词： Media Access Protocol Spectrogram Protocols Support vector machines Time division multiple access Feature extraction Cognitive radio

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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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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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Non-contact monitoring of heart rate variability using medical radar for the evaluation of dynamic changes in autonomic nervous activity during a head-up tilt test

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Journal of Medical engineering and technology 2019年第7期43卷 411-417页

作者： Sun, Guanghao Tanaka, Yosuke Kiyono, Ken Hashimoto, Kenichi Takase, Bonpei Liu, He Kirimoto, Tetsuo Matsui, Takemi Graduate School of Informatics and Engineering The University of Electro-Communications ChofuTokyo Japan Graduate School of System Design Tokyo Metropolitan University HinoTokyo Japan Division of Bioengineering Graduate School of Engineering Science Osaka University ToyonakaOsaka Japan Department of Intensive Care Medicine National Defense Medical College TokorozawaSaitama Japan Department of Measurement and Control Technology and Communication Engineering The Harbin University of Science and Technology Harbin China

Electrocardiography (ECG) is a mandatory standard for monitoring electrical activity of the heart in many clinical settings such as intensive care and emergency units. However, in situations wherein the skin is damaged, such as acute burn injuries, it is impossible to efficiently attach electrodes to the skin. In this study, we developed a non-contact cardiac monitoring system using a 24-GHz medical radar for directly measuring the beat-to-beat heart mechanical activity at a distance from a subject. The heart rate variability (HRV) was analysed using an autoregressive model (AR) from the measured beat-to-beat intervals during a head-up tilt test. To investigate the feasibility of the proposed system, we compared medical radar and ECG recording by using Lin’s correlation coefficient and Bland–Altman analysis, which showed a negligible mean difference from the substantial agreement of Lin’s correlation coefficient of 0.9 between the radar and ECG. The non-contact radar clearly monitored dynamic changes in HRV indices induced by the head-up tilt test. This type of non-contact HRV-sensing technique as an alternative approach has significant potential for advancing personal healthcare in both clinical and out-of-hospital settings. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Electrocardiography

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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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Regularized densely-connected pyramid network for salient instance segmentation

arXiv

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arXiv 2020年

作者： Wu, Yu-Huan Liu, Yun Zhang, Le Gao, Wang Cheng, Ming-Ming TKLNDST College of Computer Science Nankai University Tianjin300350 China ETH Zurich Switzerland School of Information and Communication Engineering University of Electronic Science and Technology of China China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

Much of the recent efforts on salient object detection (SOD) have been devoted to producing accurate saliency maps without being aware of their instance labels. To this end, we propose a new pipeline for end-to-end salient instance segmentation (SIS) that predicts a class-agnostic mask for each detected salient instance. To better use the rich feature hierarchies in deep networks and enhance the side predictions, we propose the regularized dense connections, which attentively promote informative features and suppress non-informative ones from all feature pyramids. A novel multi-level RoIAlign based decoder is introduced to adaptively aggregate multi-level features for better mask predictions. Such strategies can be well-encapsulated into the Mask R-CNN pipeline. Extensive experiments on popular benchmarks demonstrate that our design significantly outperforms existing state-of-the-art competitors by 6.3% (58.6% vs. 52.3%) in terms of the AP metric. The code is available at https://***/yuhuan-wu/RDPNet. © 2020, CC BY-NC-ND.

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Miniaturized multistubs loaded rectangular monopole antenna for multiband applications based on theory of characteristics modes

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Progress In Electromagnetics Research C 2019年 92卷 177-189页

作者： Kumar, Ashok Deegwal, Jitendra K. Sharma, Mahendra M. Department of Electronics and Communication Engineering Government Mahila Engineering College Ajmer305002 India Department of Electronics Instrumentation & Control Engineering Government Engineering College Ajmer305025 India Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur302017 India

A miniaturized rectangular monopole antenna (RMA) integrated with a T-shaped stub, inverted long and short L-shaped stub resonators based on application of the theory of characteristic modes (CMs) is investigated for multiband operation. CMs of embedded multistubs resonators on the RMA are examined and perceived that the entire structure is able to excite magnetic and electric CMs, in which three valuable CMs at 2.69/3.68/5.35 GHz are attained to cover WiMAX and WLAN bands. Based on CM analysis, the design formulation of multistubs resonators loaded antenna is presented. The proposed multiband antenna has been fabricated, tested, and experimentally characterized. The measured fractional bandwidths (FBWs) are 7.03% (180 MHz, 2.47-2.65 GHz), 10.43% (360 MHz, 3.27- 3.63 GHz), and 11.42% (630 MHz, 5.20-5.83 GHz). The antenna exhibits isolated multiple frequency bands, stable monopole-like radiation patterns, and flat realized gains over the operating resonance bands while maintaining the small antenna size. © 2019 Electromagnetics Academy. All rights reserved.

关键词： Resonators

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