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SSRN 2023年

作者： Xie, Yuan Zou, Tao Chen, Ci Sun, Weijun Xie, Shengli School of Mechanical and Electrical Engineering Guangzhou University Guangdong-Hong Kong-Macao Key Laboratory of Multi-scale Information Fusion and Collaborative Optimization Control of Complex Manufacturing Process Guangzhou510006 China School of Automation Guangdong University of Technology Joint International Research Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education of the P.R.C. Guangzhou510006 China School of Automation Guangdong University of Technology Guangdong Key Laboratory of IoT Information Processing Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China School of Automation Guangdong University of Technology Key Laboratory of Intelligent Detection and the IoT in Manufacturing Ministry of Education 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou510006 China

Blind source separation with high reverberation and echoes is an open and extremely challenging issue. Room reverberation and echoes have an important influence on acoustics quality, causing great difficulty in independent source separation. In the paper, an adaptive time-frequency blind source separation algorithm (ATF-BSS) is designed to deal with high reverberation and echoes, which can adaptively attenuate audible echoes and enhance the harmonic structure of real-world audio signals, achieving excellent separation performance. Firstly, an equalizer network is designed for the room impulse response to weakening audible echoes under high reverberation and echo environments without changing the perceived timbre. Furthermore, an adaptive time-frequency Wiener-like masking is presented to enhance the dominant signal and attenuate the other components that have less energy than the dominant signal. ATF-BSS algorithm incorporates the advantages of an equalizer network for removing or weakening audible echoes and adaptive time-frequency masking for high reverberation and echoes scene, improving the performance of blind separation. Experimental results on public audio datasets demonstrate that the proposed ATF-BSS algorithm improves signal intelligibility and achieves much better separation performance than state-of-the-art methods. © 2023, The Authors. All rights reserved.

关键词： Reverberation

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Phase-controlled asymmetric optomechanical entanglement against optical backscattering

arXiv

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arXiv 2022年

作者： Liu, Jing-Xue Jiao, Ya-Feng Li, Ying Xu, Xun-Wei He, Qiong-Yi Jing, Hui Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Laboratory of Chemical Biology & Traditional Chinese Medicine Research Ministry of Education College of Chemistry and Chemical Engineering Hunan Normal University Changsha410081 China State Key Laboratory for Mesoscopic Physics School of Physics Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter Peking University Beijing100871 China Collaborative Innovation Center of Extreme Optics Shanxi University Shanxi Taiyuan030006 China Synergetic Innovation Academy for Quantum Science and Technology Zhengzhou University of Light Industry Zhengzhou450002 China

Quantum entanglement plays a key role in both understanding the fundamental aspects of quantum physics and realizing various quantum devices for practical applications. Here we propose how to achieve coherent switch of optomechanical entanglement in an optical whispering-gallery-mode resonator, by tuning the phase difference of the driving lasers. We find that the optomechanical entanglement and the associated two-mode quantum squeezing can be well tuned in a highly asymmetric way, providing an efficient way to protect and enhance quantum entanglement against optical backscattering, in comparison with conventional symmetric devices. Our findings shed a new light on improving the performance of various quantum devices in practical noisy environment, which is crucial in such a wide range of applications as noise-tolerant quantum processing and the backscattering-immune quantum metrology. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum entanglement

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Room Impulse Response Reshaping-Based Blind Source Separation in an Underdetermined Reverberant Environment

SSRN

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SSRN 2023年

作者： Xie, Yuan Zou, Tao Yang, Junjie Sun, Weijun Xie, Shengli School of Mechanical and Electrical Engineering Guangzhou University Guangdong-Hong Kong-Macao Key Laboratory of Multi-scale Information Fusion and Collaborative Optimization Control of Complex Manufacturing Process Guangzhou510006 China School of Automation Guangdong University of Technology Joint International Research Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education of the P.R.C. Guangzhou510006 China School of Automation Guangdong University of Technology Guangdong Key Laboratory of IoT Information Processing Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China School of Automation Guangdong University of Technology Key Laboratory of Intelligent Detection and the IoT in Manufacturing Ministry of Education 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou510006 China

Blind source separation in an underdetermined reverberation environment is a very challenging issue. The classical method is based on the expectation-maximization algorithm. However, it is limited in a high reverberation environment, resulting in bad or even invalid separation performance. To get rid of this restriction, a room impulse response reshaping-based blind source separation algorithm is designed to solve the signal separation problem in an underdetermined reverberant environment. Firstly, a room impulse response reshaping technology is designed to eliminate the influence of audible echo for the reverberant environment, improving the quality of the received signals. Then, a new mathematical model of time-frequency mixing signals is established to reduce the approximation error of model transformation caused by high reverberation. Furthermore, an improved expectation-maximization algorithm is proposed for real-time update learning rules of model parameters, and then the sources are separated using the estimators provided by the improved expectation maximization method. Experimental results based on source separation of speech and music mixtures demonstrate that the proposed algorithm achieves better separation performance while maintaining much better robustness than the popular expectation-maximization methods. © 2023, The Authors. All rights reserved.

关键词： Blind source separation

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Atf-Bss: Adaptive Time-Frequency Blind Source Separation for High Reverberation and Echo Environments

SSRN

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SSRN 2023年

Blind source separation with high reverberation and echoes is an open and extremely challenging issue. Room reverberation and echoes have an important influence on acoustics quality, causing great difficulty in independent source separation. In the paper, an adaptive time-frequency blind source separation algorithm (ATF-BSS) is designed to deal with high reverberation and echoes, which can adaptively attenuate audible echoes and enhance the harmonic structure of real-world audio signals, achieving excellent separation performance. Firstly, an equalizer network is designed for the room impulse response to weakening audible echoes under high reverberation and echo environments without changing the perceived timbre. Furthermore, an adaptive time-frequency Wiener-like masking is presented to enhance the dominant signal and attenuate the other components that have less energy than the dominant signal. To the best of our knowledge, this is the first attempt to incorporate the advantages of an equalizer network for removing or weakening audible echoes and adaptive time-frequency masking to solve blind separation with high reverberation and echoes. Experimental results on public audio datasets demonstrate that the proposed ATF-BSS algorithm improves signal intelligibility and achieves much better separation performance than state-of-the-art methods. © 2023, The Authors. All rights reserved.

关键词： Reverberation

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Atf-Bss: Adaptive Time-Frequency Blind Source Separation for High Reverberation and Echo Environments

SSRN

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SSRN 2023年

Blind source separation with high reverberation and echoes is an open and extremely challenging issue. Because the room reverberation and echoes have an important influence on acoustics quality, bringing great difficulty to the independent source separation. In the paper, an adaptive time-frequency blind source separation (ATF-BSS) algorithm is designed to deal with the high reverberation and echoes, which can adaptively attenuate the audible echoes and enhance the harmonic structure of the real-world audio signals, achieving excellent separation performance. Firstly, an equalizer network is designed for the room impulse response to weakening audible echoes under the high reverberation and echo environments without changing the perceived timbre. Furthermore, an adaptive time-frequency Wiener-like masking is presented to enhance the dominant signal and attenuate the other components having less energy than the dominant signal. To the best of our knowledge, this is the first attempt to incorporate the advantages of an equalizer network for removing or weakening audible echoes and adaptive time-frequency masking to solve blind separation with high reverberation and echoes. Experimental results on the public audio datasets demonstrate that the proposed ATF-BSS algorithm improves signal intelligibility and achieves much better separation performance than the state-of-the-art methods. © 2023, The Authors. All rights reserved.

关键词： Reverberation

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Corrigendum to “Improved stretch formability of AZ31 sheet via texture control by introducing a continuous bending channel into equal channel angular rolling” [J. Mater. Process. Technol. 259 (2018) 380–386]

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Journal of Materials Processing technology 2024年 330卷

作者： Denghui Song Tao Zhou Jian Tu Laixin Shi Bo Song Li Hu Mingbo Yang Qiang Chen Liwei Lu College of Material Science and Engineering Chongqing University of Technology Chongqing 400054 PR China Faculty of Materials and Energy Southwest University Chongqing 400715 PR China Southwest Technology and Engineering Research Institute Chongqing 400039 PR China Precision Forming Integrated Manufacturing Technology of Collaborative Innovation Center Chongqing 4000039 PR China Institute of Light Metal Structural Materials Hunan University of Science and Technology Xiangtan Hunan 411201 PR China

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Aqueous production of sulfur-containing aerosols from nitroaromatic compounds and SO2 in wintertime urban haze

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Science Bulletin 2025年

作者： Yang, Ning Wang, Junfeng Jacob, Daniel J. Ye, Jianhuai Sheng, Ming Niu, Mutong Qin, Yiming Ge, Xinlei Sun, Yele Wang, Zifa Wang, Yuhang Wu, Fengchang Liu, Cong-Qiang George, Christian Fu, Pingqing Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin300072 China School of Emergency Management Nanjing University of Information Science and Technology Nanjing210044 China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing210044 China John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China School of Energy and Environment City University of Hong Kong Hong Kong999077 China LAPC Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China School of Earth and Atmospheric Sciences Georgia Institute of Technology AtlantaGA02115 United States State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Université Claude Bernard Lyon 1 CNRS IRCELYON VilleurbanneF-69626 France

Nighttime aqueous oxidation of fossil fuel emissions is a significant source of atmospheric secondary organic aerosols. However, the underlying mechanism of the aqueous processing remains unclear. Utilizing ultrahigh-resolution Fourier transform ion cyclotron resonance mass spectrometry of water-soluble organic carbon samples, we present field observations that reveal the aqueous-phase conversion of nitroaromatic compounds (NACs) and sulfur-containing aerosols from fossil fuel combustion at high relative humidity during a severe haze event in Beijing in the winter of 2016. We have confirmed that the ring-breaking oxidation of NACs can generate nitrous acid in the aqueous phase, which rapidly oxidizes sulfur dioxide (SO2) to sulfate. Subsequently, reactions between sulfate and unsaturated compounds contribute to the formation of aliphatic organosulfates. Our results elucidate a molecular-level understanding of the aqueous production of sulfur-containing aerosols from NACs and SO2 in wintertime urban haze. © 2025 Science China Press

关键词： Sulfur dioxide

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Chemical Characteristics of Air Pollution with Significant Emission Changes During 2019-2021 in a Typical Industrial City of Eastern China

SSRN

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SSRN 2023年

作者： Huang, Xiangpeng Li, Changping Pan, Chao Li, Yue'e Zheng, Wei Lin, Guangwu Li, Haiwei Zhang, Yunjiang Wang, Junfeng Lei, Yali Ge, Xinlei Ye, Jianhuai Zhang, Hongliang Department of Environmental Science and Engineering Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Fudan University Shanghai200438 China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing210044 China School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen518055 China Suzhou Environmental Monitoring Center Suzhou215011 China China Energy Science and Technology Research Institute Co. Ltd. Nanjing210023 China Key Lab of Geographic Information Science of The Ministry of Education School of Geographic Sciences East China Normal University Shanghai200241 China Shanghai200062 China IRDR ICoE on Risk Interconnectivity and Governance on Weather Climate Extremes Impact and Public Health Fudan University Shanghai200241 China

Restrictions on emission controls were implemented in China to cope with the outbreak of the Coronavirus Disease 2019 (COVID-19), providing a chance to study the impacts of anthropogenic emissions on air quality. Subsequently, three-year measurements of PM2.5 chemical composition and light absorption were conducted in a typical megacity (Suzhou) of the Yangtze River Delta in China from 2019 to 2021. Overall, the annual observation period is divided into four stages: Normal Days, Chinese New Year, Lockdown, and Work Resumption. Our results show that the concentrations of chemical species (such as NO3-, SO42-, OC, EC) in PM2.5 and other gas species, including SO2, NO2, and CO from 2019 to 2021 decreased gradually, which were associated with emission reduction. During the four stages, the COVID-19 lockdown period had the lowest concentration of BC and PM2.5, indicating that strict emission control could significantly improve the air quality. The significant increase of O3 during the COVID-19 lockdown period is likely due to the reduced emission of NO from the traffic, which could weaken the effect of NO on O3 formation. The Normal Days in 2020 has the highest mass loadings of SO42-, NO3-, NH4+, OC, and EC, while the mass concentrations of SO42-, NO3-, NH4+, Cl-, and Na+ in the Lockdown were the lowest. Meanwhile, the aerosol light absorption has decreased yearly, and the significant decreases in light absorption were observed during the COVID-19 lockdown when compared to other stages. The highest frequency of Absorption Ångström exponent (AAE) ranges from 1.3 to 1.4, indicating that brown carbon played critical contributions to the light absorption. The mass concentration and fraction of fuel fossil were significantly higher than that of biomass burning during the whole campaign. The remarkable decline of fuel fossil during the COVID-19 lockdown can be attributed to the closure of factories and the reduction of vehicle emissions. The potential contribution source funct

关键词： COVID-19

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Simultaneous Removal of Phosphorus and Organic Contaminants from Phosphogypsum Using Hydrothermal Method for Gypsum Resource Regeneration

SSRN

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SSRN 2022年

作者： Li, Jie Peng, Xiaoqian Zheng, Jiayi Mao, Minlin Sun, Xing Wang, Jiaxin Li, Xiaoqin Chai, Xilin Lin, Zhang Liu, Weizhen School of Environment and Energy Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Recycling South China University of Technology Guangdong Guangzhou510006 China Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution School of Metallurgy and Environment Central South University Hunan Changsha410083 China The Key Laboratory of Pollution Control and Ecosystem Restoration in Industry Clusters Ministry of Education Guangdong Guangzhou510006 China Jiangxi Gaiya Environm Sci & Technol Co. Ltd Jiangxi Shangrao334000 China

Phosphogypsum(PG) has accumulated 600 million tons in China. The biggest challenge for the utilization of PG is thorough removal of multiple contaminants, especially phosphorus and organic matter. This work investigated the speciation of phosphorus and organic contaminants in PG by FTIR spectroscopy, Raman spectroscopy, XRD, SEM-EDS and GC-MS. Under optimal hydrothermal conditions(0.3 M K 2 S 2 O 8 , heated at 120°C for 12 h), PG was transformed into anhydrous calcium sulfate powder. The whiteness significantly improved from 40.9 to 97, and the removal rate of phosphorus and organic matter reached 76% and 80% respectively. The residual phosphorus was only 0.108%, which met the standard of PG as a building material in China (P content © 2022, The Authors. All rights reserved.

关键词： Gypsum

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Intelligent Building System Optimal Scheduling Based on Residential Electricity Characteristic

Intelligent Building System Optimal Scheduling Based on Resi...

引用

International Conference on Electrical Machines and Systems (ICEMS)

作者： Shuaihu Li Yi He Yuxi Zhou Hanmei Peng Hui Li Wenlang Deng Multi-energy collaborative control technology Hunan Engineering Research Center College of Information Engineering Xiangtan University Xiangtan China College of Information Engineering Xiangtan University Xiangtan China

In order to dig deep into the electric energy scheduling potential of building systems, this paper proposes a building energy storage system topology with dynamic reconfigurable battery network architecture. Firstly, the dispatchable margin index of controllable load in intelligent buildings is established by analyzing residents' electricity consumption characteristics. On this basis, based on the residents' electricity comfort and the actual schedulable margin of the building system during this period, an optimal scheduling model with the minimum daily operating cost of the building system is constructed. Finally, the IEEE 33-node distribution network system is taken as an example system, and the fast group search optimization algorithm (FCSO) is applied to solve and analyze the proposed model. The experimental results show that the model can effectively improve the energy consumption of new energy and reduce the power fluctuation of the building load.

关键词： Buildings Batteries Load modeling Dispatching Air conditioning Dynamic scheduling

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