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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on

作者： Gang Xiong Wei Zhang Xiaoming Liu Zhiming Yuan Fenghua Zhu Zundong Zhang State Key Laboratory for Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing China School of Electrical and Control Engineering North China University of Technology Beijing China Communication Signal Research Institute China Academy of Railway Science Beijing China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China

The surge in urban population density in China has underscored the vital role of high-speed rail and subway systems in urban transit. Comprehensive transportation hubs, notably high-speed rail passenger terminals, have emerged as linchpins for seamless multimodal transit both within and beyond urban centers. China's railway sector vigorously champions the innovative concept of "station-city integration" and has articulated a forward-looking "16-word policy" for modern railway stations: "Seamless integration, environmental friendliness, economic viability, and intelligent accessibility". The judicious allocation of resources and the augmentation of coordination and control capabilities within comprehensive transportation hubs are imperative for the harmonious evolution of urban transit. The implementation of intelligent control systems for transportation hubs has emerged as a pivotal area of research. This study delves into the framework and critical technologies for high-speed railway comprehensive transport hubs, encompassing various components and their intricate interplay, including transport modalities, infrastructure, travelers, environmental factors, and information systems, thus forming a prototypical cyber-physical-social system. Addressing the prevalent and pressing imperative for the advancement of "station-city integration" high-speed railway comprehensive transport hubs, this research endeavor aims to surmount bottleneck challenges and refine the oversight of passenger flows at high-speed rail terminals. The findings hold noteworthy theoretical import and portend promising practical applications.

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Synthesis of Ultra-Low Freezing Point Alkane by Self-Aldol Condensation of N-Butyraldehyde Over Mgo-Sio2 Catalyst

SSRN

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SSRN 2023年

作者： Jiang, Zhenjing Wang, Wuyu Zhang, Xinghua Zhang, Qi Ma, Longlong School of Energy Science and Engineering University of Science and Technology of China Hefei230026 China Guangzhou Institute of Energy Conversion Chinese Academy of Sciences Guangzhou510640 China Key Laboratory of Energy Thermal Conversion and Process Measurement and Control Ministry of Education School of Energy and Environment Southeast University Nanjing210096 China

Production of aviation fuel is promising but challenging in the field of biomass utilization. Here we proposed a novel route to produce highly branched alkanes with ultra-low freezing point using n-butyraldehyde as feedstocks by self-aldol condensation and subsequent hydrodeoxygenation (HDO). The catalytic activities of silica supported magnesium oxide catalysts (MgO-SiO2) were carefully explored in the self-aldol condensation of n-butyraldehyde using n-butanol as the solvent. It was found that synergetic effect between basic site and weak Bronsted acid site played a key role in the self-aldol condensation of n-butyraldehyde. The yields of condensation product C8 and C12 oxygenate were 69.3% and 26.8% respectively. The regeneration ability of preferred 30% MgO-SiO2 catalyst exhibited an excellent reusability in the self-aldol condensation of n-butyraldehyde. In addition, hydrodeoxygenation of condensation products was also conducted over 5 wt% Pd/C and HZSM-5 catalysts. The obtained HDO products were highly branched alkanes with ultra-low freezing point. © 2023, The Authors. All rights reserved.

关键词： Silica

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Characteristics and underlying physics of ionic wind in dc corona discharge under different polarities

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Chinese Physics B 2019年第7期28卷 324-332页

作者： Tongkai Zhang Yu Zhang Qizheng Ji Ben Li Jiting Ouyang National Key Laboratory of Mechatronic Engineering and Control School of Mechatronical Engineering Beijing Institute of Technology Beijing 100081 China School of Physics Beijing Institute of Technology Beijing 100081 China Beijing Orient Institute of Measurement and Test Beijing 100094 China

During a dc corona discharge, the ions’ momentum will be transferred to the surrounding neutral molecules, inducing an ionic *** characteristics of corona discharge and the induced ionic wind are investigated experimentally and numerically under different polarities using a needle-to-ring electrode *** morphology and mechanism of corona discharge, as well as the characteristics and mechanism of the ionic wind, are different when the needle serves as cathode or *** the different polarities of the applied voltage, the ionic wind velocity has a linear relation with the *** ionic wind is stronger but has a smaller active region for positive corona compared to that for negative corona under a similar *** involved physics are analyzed by theoretical deduction as well as simulation using a fluid *** ionic wind of negative corona is mainly affected by negative *** discharge channel has a dispersed feature due to the dispersed field, and therefore the ionic wind has a larger active *** ionic wind of positive corona is mainly affected by positive *** discharge develops in streamer mode, leading to a stronger ionic wind but a lower active area.

关键词： corona discharge ionic wind electrode polarity

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Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System

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Computational Intelligence and Neuroscience 2022年第0期2022卷 5906797页

作者： Sumathy, B. Kumar, Anand Sungeetha, D. Hashmi, Arshad Saxena, Ankur Kumar Shukla, Piyush Nuagah, Stephen Jeswinde Department of Instrumentation and Control Engineering Sri Sairam Engineering College Chennai India School of Computer Science and Applications REVA University Bangalore India Department Electronics and Communication Engineering Saveetha School of Engineering SIMATS Tamil Nadu Chennai India King Abdulaziz University Jeddah Saudi Arabia Indus Institute of Information and Communication Technology Indus University Gujarat Ahmedabad India Computer Science and Engineering Department University Institute of Technology Rajiv Gandhi Proudyogiki Vishwavidyalaya Technological University of Madhya Pradesh Bhopal462033 India Department of Electrical Engineering Tamale Technical University Tamale Ghana

The emergence of social media has allowed people to express their feelings on products, services, films, and so on. The feeling is the user's view or attitude towards any topic, object, event, or service. Overall, feelings have always influenced people's decision-making. In recent years, emotions have been analyzed intensively in natural language, but many problems still have to be watched. One of the most important problems is the lack of precise classification resources. Most of the research into feeling gradation is concerned with the issue of polarity grading, although, in many practical applications, this relatively grounded feeling measure is insufficient. Design methods are therefore essential, which can accurately classify feelings into a natural language. The principal goal of the research is to develop an overflow of grammatical rules-based classification of Indian language tweets. In this work, three main challenges are identified to classify feelings in Indian language tweets and possible methods for tackling such issues. Firstly, it has been found that the informal nature of tweets is crucial for the classification of feelings. Based on the tweets, the mental illness of the person has been classified. Therefore, to categorize Indian language tweets, a combination of grammar rules based on adjectives and negations is proposed. Secondly, people often express their feelings with slang words, abbreviations, and mixed words. A technique called field tags is used to include nongrammatical arguments such as slang words and diverse words. Thirdly, if a tweet is more complex, the morphological richness of the Indian language results in a loss of performance. The grammar rules are embedded in N-gram techniques and machine learning methods. These methods are grouped into three approaches, which functionally predict Indian language tweets with syntactic words. © 2022 B. Sumathy et al.

关键词： Decision making

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New Sensing Technologies for Monitoring Machinery,Structures,and Manufacturing Processes

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Journal of Dynamics, Monitoring and Diagnostics 2023年第2期2卷 69-88页

作者： JDMD Editorial Office Zhaoyan Fan Robert X.Gao Qingbo He Yi Huang Tianxi Jiang Zhike Peng Luc Thévenaz Yuyong Xiong Shuncong Zhong Editorial Office of JDMD Chongqing University of TechnologyChongqingPeople’s Republic of China Department of Mechanical Industrialand Manufacturing EngineeringOregon State UniversityCorvallisORUSA Department of Mechanical and Aerospace Engineering Case Western Reserve UniversityClevelandOHUSA State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhouPeople’s Republic of China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhouPeople’s Republic of China School of Mechanical Engineering Ningxia UniversityYinchuanPeople’s Republic of China EPFL Ecole Polytechnique Fédérale de Lausanne Group for Fibre OpticsSCI-STI-LT Station 111015 LausanneSwitzerland

Sensing is the fundamental technique for sensor data acquisition in monitoring the operation condition of the machinery,structures,and manufacturing *** this paper,we briefly discuss the general idea and advances of various new sensing technologies,including multiphysics sensing,smart materials and metamaterials sensing,microwave sensing,fiber optic sensors,and terahertz sensing,for measuring vibration,deformation,strain,acoustics,temperature,spectroscopic,*** on the observations from the state of the art,we provide comprehensive discussions on the possible opportunities and challenges of these new sensing technologies so as to steer future development.

关键词： fiber optic sensor metamaterials sensing microwave sensing multiphysics sensing terahertz sensing

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Optical Ranging Using Coherent Kerr Soliton Dual-microcombs with Extended Ambiguity Distance

arXiv

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arXiv 2023年

作者： Yang, Yuechen Shen, Yang Zhou, Kailu Hu, Chenhua Ding, Yuanzhuo Jiang, Tinghao Li, Wei Li, Yudong Feng, Liangsen Wu, Tengfei He, Guangqiang State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Science and Technology on Metrology and Calibration Laboratory Changcheng Institute of Metrology & Measurement Aviation Industry Corporation of China Beijing100095 China SJTU Pinghu Institute of Intelligent Optoelectronics Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China

Optical ranging is a key technology in metrology. Optical frequency combs are shown to provide several advantages in light ranging, offering high precision with high acquisition rate. However, performance of traditional ranging systems based on microcombs is limited by the short ambiguity distance and non-real-time processing. Here, we show that dual-comb ranging system using coherent Kerr soliton microcombs and optical switch realizes extended ambiguity distance and provides a route to real-time processing. The ambguity distance is extended to 3.28 m from about 1.5 mm and the uncertainty reaches about 1.05 × 10−7, while the system is compatible with low-bandwidth detectors. Combining coherent microcomb ranging systems with special FPGA could enable comb-based real-time ranging systems for several applications such as industrial process monitoring. © 2023, CC BY.

关键词： Real time systems

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Plasma Power Effect on Crystallinity and Density of Peald-Aln Thin Films： Toward Increasing Dielectric Constant and Breakdown Electric Field

SSRN

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SSRN 2023年

作者： Zhang, Xiao-Ying Peng, Duan-Chen Yan, Jia-Hao Zhang, Zhi-Xuan Ruan, Yu-Jiao Zuo, Juan Xie, An Wu, Wan-Yu Wuu, Dong-Sing Huang, Chien-Jung Lai, Feng-Min Lien, Shui-Yang Zhu, Wen-Zhang Xiamen Key Laboratory of Development and Application for Advanced Semiconduc tor Coating Technology School of Opto-electronic and Communication Engineering Xiamen University of Technology Xiamen361024 China National Measurement and Testing Center for Flat Panel Display Industry Xiamen Institute of Measurement and Testing Xiamen361024 China School of Materials Science and Engineering Xiamen University of Technology Xiamen361024 China Department of Materials Science and Engineering National United University Miaoli36063 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou54561 Taiwan Department of Applied Physics National University of Kaohsiung Kaohsiung University Rd. Kaohsiung81148 Taiwan Department of Biomedical Engineering Da-Yeh University Changhua51591 Taiwan

Aluminum nitride (AlN) film is a promising material which is used in various fields. In this study, AlN films with different plasma powers were grown by remote plasma atomic layer deposition. Saturation experiments have been applied in the plasma power between 1000 and 3000 W. The influence of plasma power on preferential orientation, chemical, optical, and electrical properties of AlN films are investigated. AlN films displayed multiphase hexagonal wurtzite crystal structure with (002) preferential orientation for higher plasma power, while the predominant orientation shifted toward (100) at lower plasma power. The optical emission spectroscopy analyses show that NH and NH2 radicals conduce to the deposition of AlN films and H radicals selectively dissociate Al-OH bonds which were on AlN film surface and etch deposition films. AFM measurements show that the 1500 W prepared AlN film with smallest surface roughness may be related to the relatively smaller concomitant crystal grains of (100) and (002). X-ray photoelectron spectroscopy investigation presents that oxygen content decreases as the plasma power increases. The obtained maximum value of dielectric constant and breakdown electrical field of AlN film deposited at 3000 W is 8.23 and 5.42 MV/cm, respectively. © 2023, The Authors. All rights reserved.

关键词： Aluminum nitride

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Dynamic Flame Temperature Tomography Utilizing Multi-Camera Common Optical Path

SSRN

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SSRN 2022年

作者： Chen, Kun Guan, Jinge Zheng, Yongqiu Cheng, Bo Ma, Miao Sun, Peng State Key Laboratory of Dynamic Measurement Technology North University of China Taiyuan030051 China School of Information and Communication Engineering North University of China Taiyuan030051 China Inner Mongolia Test Institute of Aerospace Dynamic Machine Hohhot010076 China Department of Science Taiyuan Institute of Technology Taiyuan030008 China

In the single projection direction, we propose a multi-camera common optical path system for three-dimensional radiation thermometry of dynamic flame, which is realized in the form of prism cascade. Different cameras can focus on certain sections of the flame along the main optical axis synchronously and independently. The image recorded by each camera linearly consists of a focused flame section and other remaining sections with defocused state. On the basis of point spread function, the spatial object-image mapping relationship is established by convolution, and the tomography of flame sections is performed by deconvolution. Then, the flame temperature is reconstructed by use of Plank’s radiation law. The effectiveness of proposed method is verified by experiments, which could characterize the spatiotemporal evolution of flame temperature. Furthermore, it is expected to be able to achieve compatible measurements with high spatial and high temporal resolution. © 2022, The Authors. All rights reserved.

关键词： Convolution

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An Algorithm of Object Detection Based on Regression Learning for Remote Sensing Images

An Algorithm of Object Detection Based on Regression Learnin...

引用

2021 International Conference on Applied Mathematics, Modelling and Intelligent Computing, CAMMIC 2021

作者： Wang, Jiajia Wu, Ran Yu, Xiaqiong Beijing Jinghang Research Institute of Computing and Communication Beijing100076 China Applied Mathematics Research Center of CASIC Beijing100076 China Beijing Air Traffic Control Engineering Technology Co. Ltd Beijing100621 China 32021 Troops Beijing100094 China

Saliency detection method is widely used in the field of object detection. It can greatly improve the efficiency of detection by extracting the region that may contain the objects and reduce the processing of background area. It is very difficult to detect the airports in remote sensing image for its changeable structure and complex background. Considering this situation, this paper proposes a object detection method of saliency model based on regression learning, this method extracts salient regions that may contain airports, and then detects salient regions through feature bag model. Our method uses super-pixel segmentation, minimization of absolute shrinkage and selection operator and hierarchical learning theory based on back-propagation. The salient regions that contain potential objects are extracted and sent to the feature bag model for classification. and it can location the final objects. This paper constructs the airport training dataset and test dataset, and the experimental results fully prove the effectiveness and superiority of this method. © Published under licence by IOP Publishing Ltd.

关键词： Airports

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Angle-based SLAM on 5G mmWave Systems: Design, Implementation, and measurement

arXiv

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arXiv 2023年

作者： Yang, Jie Wen, Chao-Kai Xu, Jing Que, Hang Wei, Haikun Jin, Shi The School of Automation The Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing China The National Mobile Communications Research Laboratory Southeast University Nanjing China The Institute of Communications Engineering National Sun Yat-sen University Kaohsiung804 Taiwan The Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing China

Simultaneous localization and mapping (SLAM) is a key technology that provides user equipment (UE) tracking and environment mapping services, enabling the deep integration of sensing and communication. The millimeter-wave (mmWave) communication, with its larger bandwidths and antenna arrays, inherently facilitates more accurate delay and angle measurements than sub-6 GHz communication, thereby providing opportunities for SLAM. However, none of the existing works have realized the SLAM function under the 5G New Radio (NR) standard due to specification and hardware constraints. In this study, we investigate how 5G mmWave communication systems can achieve situational awareness without changing the transceiver architecture and 5G NR standard. We implement 28 GHz mmWave transceivers that deploy OFDM-based 5G NR waveform with 160 MHz channel bandwidth, and we realize beam management following the 5G NR. Furthermore, we develop an efficient successive cancellation-based angle extraction approach to obtain angles of arrival and departure from the reference signal received power measurements. On the basis of angle measurements, we propose an angle-only SLAM algorithm to track UE and map features in the radio environment. Thorough experiments and ray tracing-based computer simulations verify that the proposed angle-based SLAM can achieve sub-meter level localization and mapping accuracy with a single base station and without the requirement of strict time synchronization. Our experiments also reveal many propagation properties critical to the success of SLAM in 5G mmWave communication systems. Copyright © 2023, The Authors. All rights reserved.

关键词： Mapping

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