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IEEE International Conference on Communications (ICC)

作者： Zhe Wang Jiayi Zhang Hien Quoc Ngo Bo Ai Mé rouane Debbah School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Frontiers Science Center for Smart High-Speed Railway System Beijing Jiaotong University Beijing China Institute of Electronics Communications and Information Technology (ECIT) Queen&#x2019 s University Belfast U.K State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Technology Innovation Institute Abu Dhabi United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette France

ISBN: (数字)9781538683477

ISBN: (纸本)9781538683484

In this paper, we investigate a cell-free massive MIMO system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study the uplink spectral efficiency (SE) based on a two-layer decoding structure with maximum ratio (MR) or local minimum mean-square error (MMSE) combining applied in the first layer and optimal large-scale fading decoding method implemented in the second layer, respectively. To maximize the weighted sum SE, an uplink precoding structure based on an Iteratively Weighted sum-MMSE (I-WMMSE) algorithm using only channel statistics is proposed. Furthermore, with MR combining applied in the first layer, we derive novel achievable SE expressions and optimal precoding structures in closed-form. Numerical results validate our proposed results and show that the I-WMMSE precoding can achieve excellent sum SE performance.

关键词： Spectral efficiency Precoding Massive MIMO Rayleigh channels Mean square error methods Uplink Iterative decoding

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A Cable-Driven Hyper-Redundant Robot with Angular Sensing

A Cable-Driven Hyper-Redundant Robot with Angular Sensing

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IEEE International Conference on Robotics and Biomimetics

作者： Yuxuan Mao Jiangbo Yu Long Wang Yun Zou Zecai Lin Weidong Chen Anzhu Gao School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Science and Technology on Reliability and Environmental Engineering Laboratory Beijing Institute of Structure and Environment Engineering Beijing China Shanghai Jiao Tong University Shanghai P. R. China the Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781665405362

Hyper-redundant robots are usually used in confined space for the inspection and operations because of their dexterity and conformability. However, these robots usually use the kinematics to calculate their shape for control, and errors could be introduced inevitably due to the assembly, cable elongation, etc. This paper develops a cable-driven multi-section robot with angular sensing units for confined space. Kinematics based on D-H convention is built, and an optimization algorithm based on two-layer iteration is developed to achieve the follow-the-leader control. A feedback control using angular sensing is implemented to improve the overall accuracy. Also, force sensors are also employed to measure the tension on each actuation cable at the proximal end. Different target curves are generated for testing the feasibility, and motion simulations are conducted to successfully demonstrate the robot’s insertion. Finally, six experiments on a three-link robot prototype are carried out to validate the proposed kinematics and control algorithm. Results show that the average positioning error for the tip is 5.27 mm.

关键词： Force measurement Shape Prototypes Kinematics Aerospace electronics Inspection Robot sensing systems

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Refined recognition and intelligent smart interference of radar signal

Refined recognition and intelligent smart interference of ra...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Yuan, Jianquan Bu, Yunong Yang, Shuyuan Chi, Qingxi Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electro-Mechanical Engineering Institute Beijing China Xidian University Xi'an China

ISBN: (纸本)9781728137926

Facing the complex electromagnetic environment on the battlefield, how to effectively identify important radar signals by jammers and how to implement strong and effective electromagnetic interference to the enemy's huge radar detection system under the condition of limited jamming resources will be the difficult problems that need to be solved continuously in the electronic warfare field. The solution of these problems will be the premise of effective interference for wartime jammers. In this paper, the technical gap of traditional jammers is analyzed. For radar signal perception, a refined perception and recognition method is proposed, forming the algorithm idea of multi-scale feature extraction and recognition based on radar fingerprint and multi-channel integrated multi-label recognition and classification based on radar radiation source. For interference implementation, the idea of smart interference based on deep GAN is put forward, laying the ground for further research on cognitive electronic warfare. © 2019 IEEE.

关键词： III-V semiconductors

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Distributed State Estimation for Heterogeneous Mobile Sensor Networks with Varying Nodes

Distributed State Estimation for Heterogeneous Mobile Sensor...

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第三十九届中国控制会议

作者： Yingrong Yu Jie Ren Xiwang Dong Qingdong Li Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing Aerospace System Engineering Research Institute Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University

On background of cooperative air combat, state estimation of aerial maneuvering target with multi-sensor cooperative reconnaissance is discussed in this paper. Multiple moving platforms equipped with different kinds of detectors construct heterogeneous mobile sensor networks. Graph theory is adopted to describe the communication topology of the networks. In consideration of detection range limit, the number of sensors participating in the detection changes over time. An interactive multiple model algorithm（IMM） is utilized for target motion modeling. The local observation information is processed by Cubature Information Filter（CIF）. A weighted average consensus-based state estimation method for heterogeneous mobile sensor networks with varying nodes is put forward to fuse information from different sensors and obtain a consistent and precise tracking result. Moreover, the stability analysis of proposed method is provided detailed. Finally, numerical simulation results are given to illustrate the effectiveness of the theoretical results.

关键词： Cubature Information Filter consensus theory distributed state estimation mobile sensor networks stochastic boundedness

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Carbon Monitor-Power: near-real-time monitoring of global power generation on hourly to daily scales

arXiv

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arXiv 2022年

作者： Zhu, Biqing Song, Xuanren Deng, Zhu Zhao, Wenli Huo, Da Sun, Taochun Ke, Piyu Cui, Duo Lu, Chenxi Zhong, Haiwang Hong, Chaopeng Qiu, Jian Davis, Steven J. Gentine, Pierre Ciais, Philippe Liu, Zhu Department of Earth System Science Tsinghua University Beijing100084 China Laboratoire des Sciences du Climate et de l'Environnement LSCE Orme de Merisiers Gifsur-Yvette91191 France Product and Solution & Website Business Unit Alibaba Cloud Zhejiang Hangzhou311121 China Department of Earth and Environmental Engineering Columbia University New YorkNY United States Department of Civil & Mineral Engineering University of Toronto TorontoONM5S 1A1 Canada Department of Electrical Engineering The State Key Lab of Control and Simulation of Power Systems and Generation Equipment Institute for National Governance and Global Governance Tsinghua University Beijing China Institute of Environment and Ecology Shenzhen International Graduate School Tsinghua University Shenzhen China Department of Earth System Science University of California Irvine 3232 Croul Hall IrvineCA92697-3100 United States

We constructed a frequently updated, near-real-time global power generation dataset: Carbon Monitor-Power since January, 2016 at national levels with near-global coverage and hourly-to-daily time resolution. The data presented here are collected from 37 countries across all continents for eight source groups, including three types of fossil sources (coal, gas, and oil), nuclear energy and four groups of renewable energy sources (solar energy, wind energy, hydro energy and other renewables including biomass, geothermal, etc.). The global near-real-time power dataset shows the dynamics of the global power system, including its hourly, daily, weekly and seasonal patterns as influenced by daily periodical activities, weekends, seasonal cycles, regular and irregular events (i.e., holidays) and extreme events (i.e., the COVID-19 pandemic). The Carbon Monitor-Power dataset reveals that the COVID-19 pandemic caused strong disruptions in some countries (i.e., China and India), leading to a temporary or long-lasting shift to low carbon intensity, while it had only little impact in some other countries (i.e., Australia). This dataset offers a large range of opportunities for power-related scientific research and policy-making. © 2022, CC BY.

关键词： Carbon

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Real world particle size distribution from vehicle fleet and implication on emission control

npj Clean Air

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npj Clean Air 2025年第1期1卷 1-10页

作者： Fuyang Zhang Jianfei Peng Jinsheng Zhang Jiayuan Liu Yajun Wu Peiji Liu Kexi Liu Bin Sun Qijun Zhang Lin Wu Hongjun Mao Ning Yang Wei Hu Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin China Tianjin Eco-Environmental Monitoring Center Tianjin China Institute of Surface-Earth System Science Tianjin University Tianjin China

Particle size distribution (PSD) of vehicular emissions is crucial for assessing their impacts on air quality and human health. However, real-world PSD data from vehicle fleets is scarce. Here, we conducted a two-week tunnel measurement of PSD from fleet emission. The estimated fleet-average emission factor for particle number (PN) was 2.6 × 1014kg-fuel−1. The PSD of vehicular emission peaked in nucleation mode, indicating a significant role of volatile particles likely formed outside exhaust pipes. Diurnal variations in PN correlated with traffic flow; however, high-emitting diesel vehicles, particularly those from other cities, caused notable spikes in PN and black carbon emissions during off-peak hours. Positive matrix factorization analysis confirms this critical role of high-emitting vehicles and also reveals the dominance of non-exhaust emissions on PM2.5and PM10. This study highlights the importance of stricter regulations on high-emitting vehicles and measures to mitigate nucleation mode and non-exhaust particles.

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Mechanism of zerovalent iron-mediated homolog- and site-selective dechlorination of short-chain chlorinated paraffins

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Environmental Research 2025年 283卷 122101页

作者： Zhang, Fan Wu, Yingxin Ye, Quanyun Wang, Jinxi Wu, Qiong Zhou, Lingli Wu, Wencheng Xie, Shuting School of Earth Science and Engineering Hebei University of Engineering Handan 056038 China South China Institute of Environmental Sciences Ministry of Ecology and Environment Guangzhou 510655 China Guangdong Engineering & Technology Research Center for System Control of Livestock and Poultry Breeding Pollution Guangzhou 510655 China Technical Centre for Soil Agriculture and Rural Ecology and Environment Ministry of Ecology and Environment Beijing 100012 China

Short-chain chlorinated paraffins (SCCPs) have raised global concerns owing to their toxicity and bioaccumulation as persistent organic pollutants. Although zerovalent iron (ZVI) is promising in SCCP dechlorinating, the selectivity mechanisms are scarcely investigated, which hinders the understandings on the environmental and toxicological profiles of the dechlorinated products. This study investigated the homolog- and site-selective dechlorination of C12-SCCPs through kinetic experiments and density functional theory (DFT) analysis. The dechlorination efficiency change with ZVI dosage (10–40 g L⁻¹) was nonmonotonic, with the efficiency peaking at 20 g L⁻¹, possibly due to the higher Fe²⁺ abundance on ZVI surface. The dechlorination priority followed C12Cl10 > C12Cl9 > C12Cl8 > C12Cl6 > C12Cl7 > C12Cl5, which was driven by both SCCP adsorption and reactivity. The accumulation of C12Cl7 as the dechlorinated products of C12Cl8-10 led to the anomalous phenomenon of C12Cl6 > C12Cl7. In particular, higher chlorinated homologs showed stronger affinity to ZVI;meanwhile, DFT calculations demonstrated that chlorine substitution patterns altered the molecular softness and steric accessibility. The enhanced reactivity of homologs with even chlorine numbers was explained by the symmetric lowest unoccupied molecular orbital (LUMO). Intramolecular crowding shifted the dechlorination hotspots from peripheral C(3)/C(10) to central C(6)/C(7) in C12Cl9–10, where the reduced steric hindrance maximized the reactivity. The number of chlorine atoms and the substitution positions jointly determined the LUMO distribution of SCCPs and the spatial effect to regulate their properties. Overall, these findings elu

关键词： Density functional theory Selectivity mechanisms Short-chain chlorinated paraffins Zerovalent iron

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Optimizing multi-cycle atmospheric water harvesting via sorbent utilization efficiency

Energy & Environmental Sustainability

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Energy & Environmental Sustainability 2025年第2期1卷

作者： Jimeng Ding Michael R. Templeton Yuan He Cheng Peng Wenhai Chu State Key Laboratory of Pollution Control and Resources Reuse College of Environmental Science and Engineering Tongji University Shanghai 200092 China Department of Civil and Environmental Engineering Imperial College London United Kingdom Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092 China International Joint Research Center for Sustainable Urban Water System Tongji University Shanghai 200092 China

Sorption-based atmospheric water harvesting (SAWH) technology may have considerable potential in mitigating freshwater scarcity, particularly if advancements can be achieved in sorbent materials and optimizing multi-cycle operations. This study introduces a SAWH device that employs a dual-salt composite sorbent and analyses its performance, with a specific focus on sorbent utilization efficiency, an important understudied parameter in SAWH technologies to-date. We investigated the effects of varying cycle numbers on water harvesting efficiency and analyzed multi-cycle processes from the perspective of sorbent utilization efficiency. Our findings elucidate the trade-off dynamics between sorbent utilization efficiency and water harvesting efficiency, highlighting the balance of material efficiency with water collection yield. These insights contribute a novel perspective to the development and optimization of SAWH technology, highlighting the critical importance of incorporating sorbent utilization efficiency in the pursuit of sustainable atmospheric water harvesting solutions.

关键词： Sorption-based atmospheric water harvesting Composite sorbent Multi-cycle sorption-desorption system Sorbent utilization efficiency Water harvesting efficiency

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Atmospheric aging effects on aerosol ice nucleation

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Earth-science Reviews 2025年 269卷

作者： Ziye Huang Wei Hu Jie Chen Jialei Zhu Zhijun Wu Yue Zhang Pingqing Fu Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin 300072 China Tianjin Bohai Rim Coastal Earth Critical Zone National Observation and Research Station Tianjin University Tianjin 300072 China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing 100081 China Institute for Atmospheric and Climate Science ETH Zürich Zurich 8092 Switzerland Department of Atmospheric Sciences Texas A&M University College Station TX 77843 USA

Atmospheric ice-nucleating particles (INPs) play a crucial role in the climate system of the Earth, with their physicochemical properties strongly impacting their ice-nucleating activities (INA). These physicochemical properties of INPs can be profoundly altered by atmospheric aging processes. This article summarizes previous laboratory studies and field observations discussing the variation of INA impacted by atmospheric aging, including chemical modification, aging in water or aqueous solutions, changing of mixing state and morphology, and special aging pathways relevant to biological INPs. The inconsistencies between laboratory findings and field observations suggest that innovative ice-nucleating mechanisms need to be proposed to bridge datasets across different measurements. Furthermore, laboratory and field measurements of aged INPs could refine INP parameterization in climate models. Lastly, we present key perspectives of INA that merit further research and examination, especially including aging processes that involve multiple phases, complex morphology, or under upper tropospheric conditions, as well as poorly characterized biological INPs and anthropogenic aerosols. These research directions will help advance the overall predictability of INPs in model simulations and improve critical understanding of the climatic effect of atmospheric aerosols.

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Pinning boundary sampled-data synchronization of coupled reaction–diffusion neural networks

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Neurocomputing 2025年 648卷

作者： Zi-Peng Wang Bo-Ming Chen Junfei Qiao Biao Luo Huai-Ning Wu Tingwen Huang Guangwei Chen School of Information Science and Technology Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent System and Beijing Institute of Artificial Intelligence Beijing University of Technology Beijing 100124 China School of Automation Central South University Changsha 410083 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen 518107 China

In this paper, the pinning boundary sampled-data (SD) synchronization problem of coupled reaction–diffusion neural networks (CRDNNs) with SD-based couplings is investigated under boundary and distributed SD measurements. First, a pinning boundary SD controller is designed to effectively address the synchronization problem of CRDNNs, utilizing boundary and distributed SD measurements and requiring only a small number of sensors and actuators. Then, linear matrix inequalities provide adequate conditions that ensure exponential stability of the synchronization error system by using the designed pinning boundary SD controller, derived through inequality techniques and Lyapunov functionals. Finally, we present a numerical example to showcase the practical applicability and effectiveness of the proposed pinning boundary SD synchronization method.

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