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2021 IEEE Global Communications Conference (GLOBECOM)

作者： Yanna Bai Wei Chen Yuan Ma Ning Wang Bo Ai State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing China Frontiers Science Center for Smart High-speed Railway System Beijing China College of Electronics and Information Engineering Shenzhen University Shenzhen China School of Information Engineering Zhengzhou University Zhengzhou China Key Laboratory of Railway Industry of Broadband Mobile Information Communications Beijing China

ISBN: (纸本)9781728181059

In massive machine-type communications (mMTC), the conflict between millions of potential access devices and limited channel freedom leads to a sharp decrease in spectral efficiency. The sparse nature of mMTC provides a solution by using compressive sensing (CS) to perform multiuser detection (MUD) but suffers conflict between the high computation complexity and low latency requirements. In this paper, we propose a novel Dual-network for joint channel estimation and data recovery. The proposed Dual-Net utilizes the sparse consistency between the channel vector and data matrix of all users. Experimental results show that the proposed Dual-Net outperforms existing CS algorithms and general neural networks in computation complexity and accuracy, which means reduced access delay and more supported devices.

关键词： Multiuser detection Performance evaluation Spectral efficiency Channel estimation Sensors Delays Sparse matrices

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Design of a high speed drawing frame monitoring system based on IoT using MQTT protocol

Design of a high speed drawing frame monitoring system based...

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International Conference on Mechanical, Electric and Industrial engineering, MEIE 2018

作者： Cui, Zishang Wu, Jing Shen, Chen Chen, Bing National Engineering Research Center of Numerical Control System Huazhong University of Science and Technology Wuhan430074 China

Online monitoring for sliver quality is an important part of the drawing process. This paper presents a high-speed drawing frame monitoring system based on Internet of Things (IoT) using Message Queuing Telemetry Transport (MQTT) protocol, which consists of drawing frame IoT terminal equipment, the cloud server and PC or mobile terminal equipments. Drawing frame IoT terminal equipment takes Cortex-A7 and Cortex-M4 of series of ***7 as its control cores. The A7 processor publishes IoT data as a communication gateway while the M4 processor collects sensor data and executes local on-line detection program. Two processors run Linux and FreeRTOS as operating system respectively, and the data exchange between them adopt rpmsg pattern. The communication gateway using MQTT publishes data of the IoT terminal to the cloud server for remoting monitoring and intelligent diagnosis, when the local on-line detection system aims at acquiring real-time status of the sliver on drawing frame. Users can check the real-time status of the drawing frame at the subscription end of IoT and on the computer or mobile phone end by subscribing message by theme. Experiments show that the system operates with reliability, and is good compatible with other devices because of the modular design. The adoption of this system can promote the digitization and the intelligentialize of the drawing frame. © Published under licence by IOP Publishing Ltd.

关键词： Internet of things

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Parallel Building Process Management system

Parallel Building Process Management System

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Chinese Automation Congress (CAC)

作者： Sheng Liu Xisong Dong Gang Xiong Zhen Shen Bin Hu Xiaoyu Chen State Key Laboratory for Management and Control of Complex System Institute of Automation Chinese Academy of Sciences Beijing China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Institution of Intelligent Manufacturing Qingdao Academy of Intelligent Industries Qingdao China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665426480

With the development of industrialized building and intelligence technology, it becomes necessary and possible to realize building process intelligence management. In recent years, digital twins and parallel management get more and more attentions in academic research and industrial applications. This paper addresses how parallel building system performs intelligence management on industrialized building process. Firstly, actual building model and artificial building model are created according to actual building system. Then business driving engine and simulation engine drive actual building model and artificial building model, respectively. Participants receive and send messages by software interfaces. Business driving engine changes the status of actual building model and sends the changes to simulation engine. Simulation engine updates the status of artificial building model and runs artificial building model with various parameters. Then it sends the parameter with the best effect to business driving engine. Business driving engine sends recommendations to participants according to the best parameter. Thus, building process intelligence management is achieved.

关键词： Automation Digital twin Buildings User interfaces Software Engines Business

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Energy-Efficient Cell-Free Massive MIMO Through Sparse Large-Scale Fading Processing

arXiv

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arXiv 2022年

作者： Chen, Shuaifei Zhang, Jiayi Björnson, Emil Demir, Özlem Tuğfe Ai, Bo The School of Electronic and Information Engineering The Frontiers Science Center for Smart Highspeed Railway System Beijing Jiaotong University Beijing100044 China Purple Mountain Laboratories Nanjing211111 China The Department of Computer Science KTH Royal Institute of Technology Kista164 40 Sweden The Department of Electrical and Electronics Engineering TOBB University of Economics and Technology Ankara Turkey The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China

Cell-free massive multiple-input multiple-output (CF mMIMO) systems serve the user equipments (UEs) by geographically distributed access points (APs) by means of joint transmission and reception. To limit the power consumption due to fronthaul signaling and processing, each UE should only be served by a subset of the APs, but it is hard to identify that subset. Previous works have tackled this combinatorial problem heuristically. In this paper, we propose a sparse distributed processing design for CF mMIMO, where the AP-UE association and long-term signal processing coefficients are jointly optimized. We formulate two sparsity-inducing mean-squared error (MSE) minimization problems and solve them by using efficient proximal approaches with block-coordinate descent. For the downlink, more specifically, we develop a virtually optimized large-scale fading precoding (V-LSFP) scheme using uplink-downlink duality. The numerical results show that the proposed sparse processing schemes work well in both uplink and downlink. In particular, they achieve almost the same spectral efficiency as if all APs would serve all UEs, while the energy efficiency is 2-4 times higher thanks to the reduced processing and signaling. Copyright © 2022, The Authors. All rights reserved.

关键词： Energy efficiency

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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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Turnout Health Assessment Based on Dynamic Time Warping 4th

Turnout Health Assessment Based on Dynamic Time Warping

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4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019

作者： Wang, Ning Wang, Hong Guang Jia, Limin Wang, Zhipeng Zhang, Huiyue State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China National Engineering Laboratory for System Safety and Operation Assurance of Urban Rail Transit Beijing Jiaotong University Guangdong China Beijing Research Center of Urban Traffic Information Sensing and Service Technologies Beijing Jiaotong University Beijing China Operation Headquarters Guangzhou Metro Group Guangdong China

ISBN: (纸本)9789811528651

Turnouts are vital components in the rail system. Assessing the healthy state of turnout and ensuring normal operation is essential. However, the faults of rolling element bearings under running occur suddenly. Thus, it is essential to develop a practicable and real-time method to put forward the assess the turnouts’ running state, which could insure the normal operation. This paper presents a novel method based on the dynamic time warping (DTW) to assess the running status. DTW have two superiorities: (1) DTW could calculate the distance between the different state by using calculating the total cost (minimum distance) of two time series, it makes DTW algorithm fast and simply, so the state is assessed timely. (2) The total cost not only be used to diagnose the fault of turnout, but also could be used to transfer to CV (confident values) to assess the state of the turnout. Hence, this method uses DTW to calculate the distance between the different turnout’s states and CV to assess the healthy state by using the distance. Finally, this method is verified by using the power data collected from Guangzhou Metro turnout testbed and Line 4. The result shows that it is accurate for turnout health assessment and suitable for practical scenarios. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Roller bearings

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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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research on Calculation Method of Two-Dimensiona Dual-Limit Speed Safety Protection Curve for High Speed Maglev

Research on Calculation Method of Two-Dimensiona Dual-Limit ...

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International Conference on Electromechanical control Technology and Transportation (ICECTT)

作者： Jiakun Wen Lianchuan Ma Kaicheng Li Qiang Fu Lei Yuan School of Electronic and Information Engineering Beijing Jiaotong University Beijing China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China State Key Lab of Rail Traffic Control & Safety Beijing Jiaotong University Beijing China

ISBN: (数字)9781728199283

ISBN: (纸本)9781728199290

Determining the safety protection curve of the high-speed maglev train is the first problem to be solved by the high-speed maglev operation control system. The ground-based calculation of the safety protection curve for the high-speed maglev at the speed of 600km/h obviously cannot meet its design requirements. Therefore, this paper proposes an active calculation method of the safety protection curve, establishes a kinematic model of a high-speed maglev train, and combines the characteristics of high-speed maglev two-dimensional protection to give a calculation method of its safety protection curve. Finally, a practical example is used to verify the safety protection performance of the high-speed maglev train based on the calculation method. The results show that the vehicle-based two-dimensional dual-speed safety curve calculation method proposed in this paper can improve the safety of maglve operation without reducing the operating efficiency.

关键词： Magnetic levitation vehicles Safety Resistance Eddy currents Force Friction Transportation

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Neoantigens combined with in situ cancer vaccination induce personalized immunity and reshape the tumor microenvironment

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Nature communications 2025年第1期16卷 5074页

作者： Kuanhan Feng Xinru Zhang Jiale Li Mingzhi Han Jinghuang Wang Fucai Chen Zhiwen Yi Liuqing Di Ruoning Wang School of Pharmacy Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System Nanjing University of Chinese Medicine Nanjing 210023 China. State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Nanjing University of Chinese Medicine Nanjing 210023 China. Department of Neurosurgery Qilu Hospital Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science Shandong University Jinan 250012 China. School of Pharmacy Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System Nanjing University of Chinese Medicine Nanjing 210023 China. ruoningw@***. State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Nanjing University of Chinese Medicine Nanjing 210023 China. ruoningw@***.

Neoantigen (nAg) vaccines can induce anti-tumor specific immunity, and tumor killing promotes further antigen diffusion, which is expected to improve prognosis. However, the mutation of cancer cells under the selective pressure of vaccines and the immunosuppressive tumor microenvironment make the therapeutic effect unsatisfactory. Here, we develop a nanovaccine (nAg-MRDE/Mn) that can deliver nAg and induce in situ cancer vaccination to synergistically promote a personalized immune response, enhance antigen diffusion, and improve the microenvironment by modulating immunosuppressive cells and activating the innate immune response. Experiments show that nAgs are presented by dendritic cells and expressed by T cells, which cooperate with in situ vaccination to stimulate specific immunity. Cells involved in immunosuppression, such as M2 macrophages and regulatory T cells, are down-regulated, while M1 macrophages and natural killer cells are increased. In addition, the hydrogel loaded with chemokines and nAg-MRDE/Mn inhibits postoperative tumor recurrence, and the combination of nAg-MRDE/Mn and αPD-1 improves the therapeutic effect of αPD-1. This study validates the clinical potential of this strategy and provides ideas for improving neoantigen vaccines.

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Cruising control Approach for Virtually Coupled Train Set Based on Model Predictive control

Cruising Control Approach for Virtually Coupled Train Set Ba...

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International Conference on Intelligent Transportation

作者： Jiangfeng She Kaicheng Li Lei Yuan Yang Zhou Shuai Su National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China University of Wisconsin-Madison Madison WI USA

ISBN: (数字)9781728141497

ISBN: (纸本)9781728141503

The zooming demand for rail transportation capacity promoted the development of virtual coupling (VC), which is a new concept to further shorten the inter-train distance. This paper proposes a cruising control approach for virtually coupled train set (VCTS) based on Model Predictive control (MPC). optimization goals and constraints of the MPC controller are proposed to make inter-train distance maintained at a small value under the premise of safety. The stability of the controller is verified by the Lyapunov stability theory. Three scenarios, i.e., normal, disrupted and emergency scenarios, are analyzed via simulation, whose result indicates that the proposed controller is empirically stable and can regulate trains position differences. Further, compared with currently widely applied moving block system, the result shows that the train tracking interval under VC is shorter.

关键词： Rail transportation Couplings Predictive models Stability criteria Safety Acceleration Delays

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