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12th IEEE Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021

作者： Gu, Zhenyue Zhang, Mian Li, Decai Kang, Tianbo Tang, Xiuyang Wang, Zhiyuan Pei, Zhenlong Wang, Yiqiao Tianjin Key Laboratory For Advanced Mechatronic System Design And Intelligent Control School Of Mechanical Engineering Tianjin University Of Technology Tianjin300384 China China Tianjin Todelon Scicnce &TECHOLOGY CO. Ltd Tianjin China State Key Lab Of Water Resources And Hydropower Engineering Science Wuhan University Wuhan China

ISBN: (纸本)9781665401302

Due to the merits of high flow rate and high lift, double-suction centrifugal pumps are widely used for agricultural irrigation along the Yellow River in northern China. The operational conditions of the pump are highly related to the silt concentration and flow rates. Therefore, it is crucial to identify the vibration characteristics corresponding to different silt concentrations and flow rates to provide a prior guideline for pump condition monitoring. To this end, this paper explores the identification capabilities of typical intelligent models, including convolutional neural network (CNN), deep neural network (DNN), and support vector machine (SVM), to intelligently establish the connection between vibration characteristics and different flow rates and silt concentrations. Experimental studies on a double-section pump covering a range of flow rates and different silt concentrations are conducted. The results show that CNN features higher identification accuracy than DNN and SVM. © 2021 IEEE.

关键词： Vibration analysis

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Quantitative evaluation modeling of mobile Ad Hoc networkcommunication service availability under failure|

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International Journal of Modeling, Simulation, and Scientific Computing 2020年第6期11卷 250-267页

作者： Yanfang Fu Yichang Su Zan Wang Dengdeng Guo Fei Dai Lianjiong Zhong Jianing Wei Xi’an Technological University State and Provincial Joint Engineering Lab.of Advanced Network Monitoring and Control Xi’an 710021P.R.China Beijing Electromechanical Engineering Institute Beijing 100074 P.R.China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing 100074 P.R.China

The availability of network communication services is an important evaluation standard to measure the ability of the network to meet the user’s business *** current related research mostly focuses on the evaluation of network reliability,which cannot reflect the logical relationship between failure/maintenance and network performance *** Ad Hoc Network is a multi-hop,centerless and energy-constrained distributed *** to the dynamic change of communication environment and the instability of wireless link,Ad Hoc Network is facing great challenges in service avail*** this thesis,a fault-based quantitative evaluation model of traffic availability in Ad Hoc networks is *** studying the multi-state Markov fault model of communication networks and the performance analysis of delay index based on CSMA\CA protocol,the quantitative evaluation of traffic availability in Ad Hoc networks is *** the availability of tactical unit network under different typical network configuration conditions is analyzed through experiments.

关键词： Network reliability service availability fault model quantitative evaluation

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Research on Highly Anti-Humidity and Selective NO2 Detection Based on GaN/MoO3 N-N Heterojunction

SSRN

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SSRN 2024年

作者： Hong, Yutao Han, Dan Li, Donghui He, Xiuli Zhao, Li Wang, Weidong Li, Hongwei Sang, Shengbo Liang, Hua Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Transducer Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China Bioengineering Research Center Medical Innovation Research Division Chinese PLA General Hospital Beijing China Shanxi Academy of Medical Sciences China

Effective and accuratedetection of NO2 gas is crucial for protecting the environment and public health. In this work, balsam pear-like GaN/MoO3 porous nanosheets (GaN/MoO3) composites were synthesized by the in situ assembling, the hydrothermal method, and the nitridation process to detect NO2. A series of characterization methods were used to manifest the successful synthesis and to analyze the morphology and elemental composition features of GaN/MoO3 composites. The results of the gas-sensing experiments show that at the operating temperature of 225 °C, the gas sensor based on the optimal ratio of GaN/MoO3 composites exhibits a low theoretical limit of detection (0.78 ppb) for NO2, which is significantly improved compared with the limit of detection of MoO3 (5 ppm). Further, the response value of the sensor based on GaN/MoO3 composites to 200 ppm NO2 (44.74) is 4.36 times higher than that of the sensor based on pure GaN, with an improvement in stability. Meanwhile, the sensor also possessed excellent repeatability, selectivity, stability, and splendid anti-humidity ability at 15-70 % RH. The improved gas-sensing performance is ascribed to the unique microstructure of both GaN and MoO3, and the heterojunction effect between them. This work provides a way to improve the efficiency and anti-humidity ability of real-time monitoring of NO2 for the sensors of MoO3-based composite. © 2024, The Authors. All rights reserved.

关键词： Gallium nitride

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Event-triggered Consensus Control of Heterogeneous Multi-agent systems: Model- and Data-based Analysis

arXiv

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arXiv 2022年

作者： Wang, Xin Sun, Jian Wang, Gang Chen, Jie The School of Automation The Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing10081 China The Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China The Department of Control Science and Engineering Tongji University Shanghai201804 China The State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China

This article deals with model- and data-based consensus control of heterogenous leader-following multi-agent systems (MASs) under an event-triggering transmission scheme. A dynamic periodic transmission protocol is developed to significantly alleviate the transmission frequency and computational burden, where the followers can interact locally with each other approaching the dynamics of the leader. Capitalizing on a discrete-time looped-functional, a model-based consensus condition for the closed-loop MASs is derived in form of linear matrix inequalities (LMIs), as well as a design method for obtaining the distributed controllers and event-triggering parameters. Upon collecting noise-corrupted state-input measurements during open-loop operation, a data-driven leader-following MAS representation is presented, and employed to solve the data-driven consensus control problem without requiring any knowledge of the agents' models. This result is then extended to the case of guaranteeing an H∞ performance. A simulation example is finally given to corroborate the efficacy of the proposed distributed event-triggering scheme in cutting off data transmissions and the data-driven design method. Copyright © 2022, The Authors. All rights reserved.

关键词： Linear matrix inequalities

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Long-term ultrastable frequency dissemination via a 50-km spooled fiber link using a two-section DFB laser

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Chinese Optics Letters 2024年第1期22卷 164-169页

作者：尹知谦张川博管世健周昕王亚光王磊磊郑满航刘奕彤张云山朱兴邦方涛陈向飞 Engineering Research Center of Precision Photonics Integration and System Application Ministry of Education&Key Laboratory of Intelligent Optical Sensing and ManipulationMinistry of Education&National Laboratory of Solid State Microstructures&College of Engineering and Applied Sciences&Institute of Optical Communication Engineering&Nanjing University-Tongding Joint Lab for Large-Scale Photonic Integrated CircuitsNanjing UniversityNanjing 210023China College of Electronics and Optical Engineering and College of Flexible Electronics Nanjing University of Posts and TelecommunicationsNanjing 210023China The 41st Research Institute of China Electronics Technology Group Corp Qingdao 266000China

The stable long-distance transmission of radio-frequency(RF)signals holds significant importance from various aspects,including the comparison of optical frequency standards,remote monitoring and control,scientific research and experiments,and RF spectrum *** demonstrate a scheme where an ultrastable frequency signal was transmitted over a 50 km coiled *** optical RF signal is generated using a two-section distributed feedback(DFB)laser for direct modulation based on the reconstruction equivalent chirp(REC)*** 3-dB modulation bandwidth of the two-section DFB laser is 18 GHz and the residual phase noise of-122.87 dBc/Hz is achieved at 10-Hz offset *** report a short-term stability of 1.62×10^(-14)at an average time of 1 s and a long-term stability of 6.55×10^(-18)at the measurement time of 62,000 s when applying current to the front section of the DFB *** applying power to both sections,the stability of the system improves to 4.42×10^(-18)within a testing period of 56,737 *** applying temperature variations to the transmission link,long-term stability of 8.63×10^(-18)at 23.9 h can still be achieved.

关键词： frequency dissemination two-section DFB laser phase stability

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Dual-channel quantum meta-hologram for display

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Advanced Photonics Nexus 2024年第1期3卷 86-92页

作者： Yubin Fan Hong Liang Yuhan Wang Shufan Chen Fangxing Lai Mu Ku Chen Shumin Xiao Jensen Li Din Ping Tsai City University of Hong Kong Department of Electrical EngineeringHong KongChina City University of Hong Kong Centre for BiosystemsNeuroscienceand NanotechnologyHong KongChina City University of Hong Kong The State Key Laboratory of Terahertz and Millimeter WavesHong KongChina The Hong Kong University of Science and Technology Department of PhysicsHong KongChina The Hong Kong University of Science and Technology IAS Center for Quantum TechnologiesHong KongChina Harbin Institute of Technology(Shenzhen) Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information SystemGuangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsShenzhenChina Pengcheng Laboratory ShenzhenChina

Quantum technologies rely on creating and manipulating entangled sources,which are essential for quantum information,communication,and *** integrating quantum technologies and all-dielectric metasurfaces,the performance of miniature display devices can be enhanced to a higher *** display technology,such as virtual reality display,has achieved original commercial success,and was initially applied to immersive games and interactive *** the consumer market has quickly adopted this technology,several areas remain for improvement,including concerns around bulkiness,dual-channel display,and noise ***,we experimentally realize a quantum meta-hologram concept demonstration of a miniature *** fabricate an ultracompact meta-hologram based on 1μm thick titanium dioxide(TiO_(2)).The meta-hologram can be remotely switched with heralding technique and is robust against noise with the quantum entangled *** platform can alter the miniature display channel by manipulating heralding photons’polarization,removing speckles and multiple reflective light noise,improving imaging contrast,and potentially decreasing device *** contrast increases from 0.36 dB under speckle noise influences to 6.8 dB in quantum correlation *** approach has the potential to miniaturize quantum displays and quantum communication devices.

关键词： quantum meta-hologram display metasurface dual channel

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CHAINS:CHAIN-based fusion safety system framework for intelligent connected vehicle

Chain

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Chain 2024年第1期1卷 2-45页

作者： Shichun Yang Bin Sun Haoran Guang Rui Wang Bowen Zheng Weifeng Gong Yu Wang Yi Shi Zexiang Tong Lisheng Zhang Kaiyi Yang Xinhua Liu Yaoguang Cao Jun Li Yunpeng Wang School of Transportation Science and Engineering Beihang UniversityBeijing 100091China Innovation Center of New Energy Vehicle Digital Supervision Technology and Application for State Market Regulation Beijing 100091China Imperial College London Ringgold standard institution-Dyson School of Design Engineering London SW72AZUK Research Institute for Frontier Science Beihang UniversityBeijing 100091China State Key Lab of Intelligent Transportation System Beijing 100091China School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China

intelligent connected vehicles,as the focus of the global automotive industry,are currently at a critical stage of large-scale ***,during the development process of vehicles from mechanical systems with limited functions to mobile intelligence with complex and multiple functions,the issues of functional safety,cybersecurity,and safety of the intended functionality are the main challenges of the industrialization of intelligent connected vehicles,including multiple safety risks such as hardware and software failures,insufficient performance in edge scenarios,cyber-attacks and data *** this paper,the safety and security issues of intelligent connected vehicles,the challenges posed by emerging technology applications,and related solutions are systematically reviewed and summarized.A fusion safety system framework with the safety cube as the core of protection and control is proposed innovatively based on a field-vehicle-human safety interactional model,realizing stereoscopic,deep,and comprehensive safety protection through end-cloud ***,an X-shaped fusion safety development process based on CHAIN is *** the empowerment of digital twin and AI technologies,it could approach interaction between physical entities and digital twin models and the automation of the development process,thereby satisfying the demands of fusion safety system design,intelligent development,rapid delivery,and continuous *** fusion safety system framework and X-shaped development process proposed in this paper can provide important insight into intelligent transportation vehicles and systems'safety and security design and development.

关键词： CHAIN fusion safety X-shaped development process safety brain

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Bottom-Up Nucleation Induced Conformal Crystallization For Inverted Ma-Free Perovskite Solar Cells on Textured Substrates

SSRN

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SSRN 2024年

作者： Liu, Ruochen Xu, Jiawei Hu, Tianxiang Li, Xiang Wang, Kongxiang Huang, Qi Duan, Zhongtao Liu, Hong Qian, Weifan Zhou, Haiting Cong, Chunxiao Yue, Xiaofei Zhang, Hong Xie, Fengxian Institute for Electric Light Sources School of Information Science and Technology Fudan University Shanghai200438 China Department of Materials Science National Engineering Lab for TFT-LCD Materials and Technologies Fudan University Shanghai200433 China Center for Micro Nano Systems School of Information Science and Technology Fudan University Shanghai200438 China State Key Laboratory of ASIC & System School of Information Science and Technology Fudan University Shanghai200438 China State Key Laboratory of Photovoltaic Science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Fudan University Shanghai200438 China

Utilizing textured fluorine-doped tin oxides (FTO) as transparent conductive oxide (TCO) substrates is advantageous for capturing incident light, thereby enhancing the power photoelectric conversion efficiency (PCE) of inverted perovskite solar cells (PSCs). However, the roughness of these substrates and uncontrolled nucleation often results in voids at the perovskite-buried surface, leading to insufficient charge extraction and serving as degradation initiation points. This study introduces (S)-3-amino-4-(4-chlorophenyl)butyric acid hydrochloride (AbaCl), which binds to FTO through its anchor group (–COOH) at the deficient regions of MeO-4PACz. Moreover, the chlorine end molecules offer active sites for nucleation by forming halogen bonds with undercoordinated iodide ions (I–). AbaCl also interacts with formamidinium (FA+) in perovskite precursor solution via hydrogen bonding, promoting crystallization at the buried interface. Consequently, nucleation at this buried interface becomes preferential, ensuring bottom-up growth and preventing voids formation due to incomplete solvent evaporation, allowing the perovskite layer to conformally adhere to the substrate without gaps. As a result, the AbaCl-treated inverted PSCs achieved a champion PCE of 24.5% and exhibited enhanced operational stability. This work presents a method for conformally growing perovskite films on textured substrates to produce efficient and stable PSCs. © 2024, The Authors. All rights reserved.

关键词： Hydrogen bonds

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Tunable cavity coupling to spin defects in 4H-silicon-carbide-on-insulator platform

arXiv

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arXiv 2024年

作者： Bao, Tongyuan Luo, Qi Yin, Ailun Zhang, Yao Hu, Haibo Liu, Zhengtong Xiao, Shumin Ou, Xin Zhou, Yu Song, Qinghai Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of Technology Shenzhen518055 China Pengcheng Laboratory Shenzhen518055 China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China Shenzhen518045 China The Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China Collaborative Innovation Center of Extreme Optics Shanxi University Shanxi Taiyuan030006 China

Silicon carbide (SiC) has attracted significant attention as a promising quantum material due to its ability to host long-lived, optically addressable color centers with solid-state photonic interfaces. The CMOS compatibility of 4H-SiCOI (silicon-carbide-on-insulator) makes it an ideal platform for integrated quantum photonic devices and circuits. While micro-ring cavities have been extensively studied in SiC and other materials, the integration of 4H-SiC spin defects into these critical structures, along with continuous mode tunability, remains unexplored. In this work, we demonstrate the integration of PL4 divacancy spin defects into tunable micro-ring cavities in scalable thin-film 4H-SiC nanophotonics. Comparing on- and off-resonance conditions, we observed an enhancement of the Purcell factor by approximately 5.0. This enhancement effectively confined coherent photons within the coupled waveguide, leading to a twofold increase in the ODMR (optically detected magnetic resonance) contrast and coherent control of PL4 spins. These advancements lay the foundation for developing SiC-based quantum photonic circuits. © 2024, CC BY.

关键词： Nanocrystals

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Domain Adaptive Road Perception Network of Autonomous Vehicles

Domain Adaptive Road Perception Network of Autonomous Vehicl...

引用

International Conference on intelligent Transportation

作者： Rui Wang Shichun Yang Yuyi Chen Runwu Shi Zhuoyang Li Jiayi Lu Xinjie Feng Fan Zhou Xiaoyu Yan Yaoguang Cao Department of Transportation Science and Engineering Beihang University Beijing China Innovation Center of New Energy Vehicle Digital Supervision Technology and Application for State Market Regulation Beijing China Research Institue of Aero-Engine Beihang University Beijing China Research Institute for Frontier Science Beihang University Beijing China State Key Lab of Intelligent Transportation System Beijing China

Road conditions can significantly influence the safety of autonomous vehicles (AV). Existing sensors of AV are usually less effective in recognizing road conditions during night and inclement weather. While intelligent tire systems, can identify different road conditions accurately and hardly be affected by weather or illumination conditions. However, data collected under different working conditions differ from each other with significant shifts and are hard to collect due to the tremendous field experiments. To this end, we propose a domain-adaptive model that can extract invariant features to different driving speeds. The proposed method contains two modules: a) a data pre-processing module to extract variable period signals and b) an adversarial transfer learning module for learning invariant features cross working conditions. The field tests have demonstrated that the proposed method performs better on road condition perception than other transfer learning methods.

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