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ASTARS Aided NOMA Covert Communication Networks

IEEE Transactions on Vehicular technology 2025年

作者： Yue, Xinwei Song, Xinlong Zhao, Jingjing Huang, Chongwen Jin, Hongxu Xiang, Wei Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing102206 China Beijing Information Science and Technology University Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing102206 China Beihang University School of Electronic and Information Engineering Beijing100191 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Xidian University State Key Laboratory of Integrated Service Networks Xi'an710071 China Hangzhou310027 China Zunyi Normal University School of Information Engineering Zunyi563006 China La Trobe University School of Computing Engineering and Mathmatical Sciences MelbourneVIC3086 Australia

The active simultaneously transmitting and reflecting surface (STARS) has been proposed as a complement of passive STARS (PSTARS) to inhibit the double path-loss. This paper applies the active STARS (ASTARS) to aid in non-orthogonal multiple access (NOMA) covert communications over cascaded rice fading channels, where two wardens are located on the opposite sides of ASTARS to monitor the transmission information. More specifically, we derive approximate expressions for detection error probability of two wardens. The optimal detection threshold and minimum detection error probability are presented in the worst covert scenarios. The covert transmission rate expressions for a coupe of covert users are further deduced by taking into account imperfect/perfect successive interference cancellation. The experimental simulation results are presented to confirm that: 1) The detection error probability of ASTARS-NOMA networks is superior to that of ASTARS assisted-orthogonal multiple access (ASTARS-OMA) and PSTARS aided NOMA networks;2) As the number of active elements increases, the covert transmission rates of ASTARS-NOMA networks become larger relative to ASTARS-OMA;and 3) ASTARS-NOMA has ability to provide the enhanced system throughput in delay-tolerant transmission mode. © 2025 IEEE.

关键词： Fading channels

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How Regulatory Orders and Public Fear Affect Vehicle Mobility Under Covid-19: A Global Perspective from Urban Overall Vehicles Using Multisource Data

SSRN

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SSRN 2024年

作者： Tang, Li Tang, Chuanli Luo, Hao He, Zhengbing Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province Xihua University Chengdu China Engineering Research Center of Ministry of Education for Intelligent Air-Ground Fusion Vehicles and Control Xihua University Chengdu China School of Automobile and Transportation Xihua University Chengdu China Laboratory for Information and Decision Systems Massachusetts Institute of Technology CambridgeMA United States

As one of the largest pandemics in human history, COVID-19 has dealt a heavy blow to the global economy and social life. Although the pandemic situations in most countries have been stable, lessons are highly needed to learn to get more prepared for the future. In the field of transportation, the impact of COVID-19 on public transit and shared travel has been extensively studied with a relatively consistent conclusion. However, how and why the overall vehicle travel demand (including public and private) changes have not been fully addressed. This paper investigates the impact of COVID-19 on urban overall vehicle mobility as to the magnitude, duration, and driving factors. To this end, the Prophet time series model was introduced to predict vehicle mobility without COVID-19. By comparing the predicted with the real value, the mobility loss was obtained. The causes of the loss were deeply explored by applying multiple linear regression, especially focusing on the interaction effects of the strictness of regulatory orders and public fear. A large-scale dataset with more than 4 billion raw data was built for the empirical analysis from different sources, including a three-year city-level Automatic Number Plate Recognition data and data crawled from websites relating to explanatory variables. Results show that urban vehicle mobility loss almost all occurs during the national outbreak period, which is 29.66%. The factor that represents nationwide confirmed cases has a positive lagging effect on travel mobility loss, and the lag time is around seven days. Loss of urban motorized travel demand is largely caused by the interaction of perceived risks and control policy. The marginal effects of the factors work differently, indicating strong evidence of the existence of caution fatigue and shedding light on the impact mechanism. © 2024, The Authors. All rights reserved.

关键词： Multiple linear regression

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A Temperature-Decoupled Impedance-Based Mass Sensing Using Cbam-Cnn and Adaptive Weighted Average Preprocessing with High Accuracy

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SSRN 2023年

作者： Yan, Yunan Liu, Zhikang Xu, Jiawen Zhang, Hong Guo, Ning Zhao, Liye Yan, Ruqiang Jiangsu Key Lab of Remote Measurement and Control School of Instrument Science and Engineering Southeast University Jiangsu Nanjing210096 China Science and Technology on Vacuum Technology and Physics Laboratory Lanzhou Institute of Physics Lanzhou730010 China Key Laboratory of Micro-Inertial Instruments and Advanced Navigation Technology Ministry of Education School of Instrument Science and Engineering Southeast University Nanjing210096 China International Machinery Center School of Mechanical Engineering Xi’an Jiaotong University Shaanxi 710049 China

Microcantilevers are widely adopted in various fields for micro-mass sensing due to their simple structure and high sensitivity. The conventional microcantilever-based measurement methods required ultra-precision temperature control. However, such a requirement could hardly be satisfied and the temperature shifting would deteriorate the accuracy of mass sensing. In this research, a new temperature decoupling method for mass sensing is proposed by taking advantage of the relative relationship of the peaks in the impedance signals. Besides, a CBAM-CNN network with an adaptive weighted average preprocessing method is developed for the evaluation of the relative relationship of the peaks. This method can enhance the features of the impedance signal and highlight critical information with limited samples. Experiments showed that robust mass sensing with accuracy up to 99.70% can be achieved over a wide temperature range from 25 to 55 °C. In addition, the performance of the proposed network was compared to SVM, DNN, and CNN. This method offers a new mechanism for eliminating the influences of temperatures for precision cantilever-based mass sensing. © 2023, The Authors. All rights reserved.

关键词： Statistical methods

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Artificial Intelligence in Next Generation IoT Infrastructure: Challenges and Opportunities

Artificial Intelligence in Next Generation IoT Infrastructur...

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Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), International Conference on

作者： Rajeshwarrao Arabelli Dhwanit K. Chotaliya Rajashree Tukaram Gadhave B. Haritha Lakshmi Chandrakanth Kasireddy Mukesh Soni Department of Electronics and Communications Engineering School of Engineering SR University Warangal India Department of Instrumentation and Control Engineering GEC-Rajkot Rajkot Gujarat Pillai HOC College of Engineering and Technology Rasayani Tal. Khalapur MH India Department of ECE St. martin's Engineering College Hyderabad Enterprise DevSecOps Architect R&D - Engineering ThoughtSpot Inc Franklin TN USA Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science & Technology Pune

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

Numerous facets of the public realm could be revolutionised by the convergence of the Internet of Things (the Internet of Things) and Artificial Intelligence (AI). This project developed a based-on data predictive maintenance system for manufacturing production lines. One of these anticipated improvements that can be included into the factory's production system is “AI of Things (AIoT),” which refers to the use of the IoT to carry out intelligent tasks with the aid of AI integration. By using the information created by IoT sensors progressively, the system utilizes machine learning (ML), a part of AI, to recognize expected blunders preceding they happen. The viability of the innovation was surveyed utilizing IoT information from genuine assembling frameworks, and the results of the appraisal demonstrated that the prescient support structure was effective in distinguishing potential failure indicators and could assist with forestalling some production stops. Comparing the performance of ML techniques revealed that frameworks of the bagging ensemble technique Random Forest and the boosting technique XGBoost appeared to outperform each of the techniques in the assessment. The factory's production system now uses the best-performing ML techniques from the present research.

关键词： Production systems Technological innovation Boosting Sensor systems Real-time systems Internet of Things Intelligent sensors Bagging Random forests Predictive maintenance

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A Static Feature Point Extraction Algorithm for Visual-Inertial SLAM

A Static Feature Point Extraction Algorithm for Visual-Inert...

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Chinese Automation Congress (CAC)

作者： HanXuan Zhang Ju Huo Wei Sun Muyao Xue JianBao Zhou School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Shanghai Space Propulsion Technology Research Institute Shanghai China Harbin Nuoxin University of Technology Measurement and Control Technology Co. Ltd Harbin China

Aiming at the fact that most simultaneous localization and mapping (SLAM) methods are fragile in dynamic environment, a static feature point extraction algorithm for visual-inertial SLAM is proposed. Firstly, the distance from feature matching to transformation matrix is calculated by cleverly combining inertial measurement unit (IMU) data and visual information. Secondly, a static probability model for distinguishing feature point categories is established based on the binomial logistic regression model. These categorical feature points are used in subsequent algorithms to select more stable data associations. Finally, the algorithm is integrated into the ORBSLAM-3 system, and extensive experiments are performed on the OpenLORIS-Scene public dataset and real world to verify the performance of the integrated system. The results show our algorithm not only maintains the high-precision localization performance of the original system in the static environment, but also improves the localization accuracy of the original system in the dynamic environment.

关键词： Location awareness Visualization Simultaneous localization and mapping measurement units Automation Heuristic algorithms Inertial navigation

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Acoustically Driven Micropipette for Hydrodynamic Manipulation of Mouse Oocytes

Acoustically Driven Micropipette for Hydrodynamic Manipulati...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Zhaofeng Zuo Xiaoming Liu Zhuo Chen Yuyang Li Xiaoqing Tang Dan Liu Qiang Huang Tatsuo Arai Beijing Advanced Innovation Center for Intelligent Robots and Systems and School of Mechatronical Engineering Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Center for Neuroscience and Biomedical Engineering The University of Electro-Communications Tokyo Japan

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Micromanipulation techniques that can achieve controlled fine operations at the micro scale play an important role in biomedical fields including embryo engineering, gene engineering, drug screening, and cell analysis. However, micromanipulation of biological micro-objects, such as cells and micro tissues, suffers from mechanical damage and low efficiency. Several techniques have been introduced to manipulate cells more easily, but most of them are restricted by expensive devices, limited work area, and potential damage to cellular structure. Here we develop a hydrodynamic manipulation method to rotate and transport mouse oocytes, which utilizes acoustic waves and micropipette to generate acoustic radiation force and excite microstreaming. This method can accomplish rotational and translational operations precisely and controllably. We tested the process of trapping, rotation, and transportation of the mouse oocytes, and measured rotational and translational speed with a range of applied voltage. The method was able to shorten the cost time of delivery and posture adjustment before oocyte injection. Our study provides an easy-to-use technique for oocyte manipulation without contact, and it has the potential to be universally applied in many cellular studies.

关键词： Visualization Voltage measurement Three-dimensional displays Force Transportation Hydrodynamics Biology

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Additive manufacturing of silicon carbide microwave-absorbing metamaterials

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Additive Manufacturing Frontiers 2025年第1期4卷

作者： Zhao, Hanqing Liao, Qingwei Li, Yinghao Chu, Xiangcheng Yuan, Songmei Qin, Lei Key Laboratory of Sensors Beijing Information Science and Technology University Beijing 100192 China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University Beijing 100192 China State Key Laboratory of New Ceramics and Fine Processing School of Material Science and Engineering Tsinghua University Beijing 100084 China School of Mechanical Engineering and Automation Beihang University Beijing 100191 China

SiC is a wave-absorbing material with good dielectric properties, high-temperature resistance, and corrosion resistance, which has great potential for development in the field of high-temperature wave-absorbing. However, SiC is limited by its low impedance-matching performance and single wave-absorbing mechanism. Therefore, compatible metamaterial technologies are required to enhance its wave-absorbing performance further. The electromagnetic wave (EMW) absorbing metamaterials can realize perfect absorption of EMWs in specific frequency bands and precise regulation of EMW phase, propagation mode, and absorption frequency bands through structural changes. However, the traditional molding methods for manufacturing complex geometric shapes require expensive molds, involve process complexity, and have poor molding accuracy and other limitations. Therefore, additive manufacturing (AM) technology, through material layered stacking to achieve the processing of materials, is a comprehensive multidisciplinary advanced manufacturing technology and has become the core technology for manufacturing metamaterials. This review introduces the principles and applications of different AM technologies for SiC and related materials, discusses the current status and development trends of various AM technologies for fabricating silicon–carbon-based wave-absorbing metamaterials, summarizes the limitations and technological shortcomings of existing AM technologies for fabricating silicon–carbon-based wave-absorbing metamaterials, and provides an outlook for the future development of related AM technologies. © 2024 The Author(s)

关键词： Additive manufacturing Electromagnetic absorption Metamaterials SiC

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Path Planning for Mars Rovers Using Constraint-Based Approach on Path Length and Turning Radius

SSRN

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SSRN 2023年

作者： Dai, Juan Li, Jianfeng Zhu, Shengtao Su, Zhong Zhu, Cui Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing100192 China School of Automation Beijing Information Science & Technology University Beijing100192 China School of Information and Communication Engineering Beijing Information Science & Technology University Beijing100101 China

An improved dynamic window approach is proposed for local path planning of the Mars rover based on its constraint characteristics and kinematic model. The dynamic window algorithm is commonly utilized in intelligent rover obstacle avoidance and unmanned driving due to its simple principle and easy implementation. The proposed approach can effectively satisfy the dynamic obstacle avoidance requirements of the Mars rover. However, the traditional dynamic window method may suffer from local motion dead zones and longplanned paths. To resolve the issue of dynamic obstacle avoidance for the Mars rover, a length limitation vector is proposed to alleviate the problem of motion dead zone and enable dynamic obstacle recognition. Moreover, a new dynamic window space is generated by incorporating a turning radius constraint to accommodate the Mars rover’s large turning radius. The evaluation function is optimized to achieve a safe, efficient, and smooth path plan for the Mars rover. © 2023, The Authors. All rights reserved.

关键词： Motion planning

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Research on Merging Strategies of Connected and Autonomous Vehicles Based on The Game Theory under On-ramp Scenarios

Research on Merging Strategies of Connected and Autonomous V...

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Chinese control and Decision Conference, CCDC

作者： Libin Zhang Jingwen Yang Shilong Liao Junfeng Yao Ping Wang Xiangmo Zhao School of Electronic and Control Engineering Chang’an University Xi’an Shaanxi China School of Information Engineering Chang’an University Xi’an Shaanxi China China Communications Information Technology Group Co. Ltd Beijing China

ISBN: (纸本)9781665478977

How to make vehicles run efficiently under safe conditions is one of important research topics in the field of transportation. The development of connected and autonomous vehicles (CAVs) could improve the driving efficiency with intelligence of CAVs. In this study, we firstly analyze several typical vehicles merging scenes, and establish driving models during the merging process. Then, this paper takes a typical on-ramp merging scene as an example, and proposes a vehicle merging strategy based on improved cooperative game theory. Finally, by quantifying the safety and efficiency of vehicle traffic, and assigning them different weights, simulation experiments verify the effectiveness of a vehicle merging strategy in improving traffic efficiency. Taking the trajectory of the vehicles and the average travel time of all vehicles as the output result, comparing with the vehicle merging model controlled by the fixed timing of traffic lights, the result shows that the vehicle merging strategy based on improved cooperative game theory can significantly improve traffic efficiency. Especially, under the test of different traffic flows, the average travel time of all vehicles increased by 10.95%. The merging strategy based on improved cooperative game theory can contribute to solve traffic conflict in the future.

关键词： Analytical models Connected vehicles Merging Transportation Games Trajectory Timing

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Wind Power Forecasting Methods Based on Deep Learning:A Survey

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Computer Modeling in engineering & Sciences 2020年第1期122卷 273-301页

作者： Xing Deng Haijian Shao Chunlong Hu Dengbiao Jiang Yingtao Jiang School of Computer Science Jiangsu University of Science and TechnologyZhenjiangChina School of Automation Key Laboratory of Measurement and Control for CSEMinistry of EducationSoutheast UniversityNanjingChina Department of Electrical and Computer Engineering University of NevadaLas VegasUSA

Accurate wind power forecasting in wind farm can effectively reduce the enormous impact on grid operation safety when high permeability intermittent power supply is connected to the power *** to provide reference strategies for relevant researchers as well as practical applications,this paper attempts to provide the literature investigation and methods analysis of deep learning,enforcement learning and transfer learning in wind speed and wind power forecasting ***,wind speed and wind power forecasting around a wind farm requires the calculation of the next moment of the definite state,which is usually achieved based on the state of the atmosphere that encompasses nearby atmospheric pressure,temperature,roughness,and *** an effective method of high-dimensional feature extraction,deep neural network can theoretically deal with arbitrary nonlinear transformation through proper structural design,such as adding noise to outputs,evolutionary learning used to optimize hidden layer weights,optimize the objective function so as to save information that can improve the output accuracy while filter out the irrelevant or less affected information for *** establishment of high-precision wind speed and wind power forecasting models is always a challenge due to the randomness,instantaneity and seasonal characteristics.

关键词： Deep learning reinforcement learning transfer learning wind power forecasting

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