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Radio Environment Map Reconstruction Via Tensor Completion: Bayesian and Semantic Approaches

IEEE Transactions on Vehicular Technology 2025年第5期74卷 7897-7913页

作者： Wang, Xuegang Wang, Fanggang He, Boxiang Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Frontiers Science Center for Smart High-Speed Railway System School of Electronics and Information Engineering Beijing100044 China

The radio environment map (REM) is one of the representations of the wireless environments, which consists of the spectrum data and enables the users to understand the electromagnetic situation in temporal, spectral and spatial domains. Generally, the observations of the spectrum data are incomplete due to the insufficient acquisition capability, and even the observed ones could be corrupted by some interferences and white noises. In this paper, we model the REM in all domains using the tensor notation, and propose a Bayesian and a deep-learning approaches to complete the spectrum map from the incomplete and corrupted observed spectrum data. In the first approach, by using the Tucker decomposition on the spectrum tensor, a hierarchical Bayesian framework is modeled to characterize the core tensor, the factor matrices, and the other nuisances. These nodes and their distribution parameters serve as the latent variables in the model. The variational Bayesian method is adopted to compute the posterior probabilities in an iterative manner. Regarding the low-rank property and the correlation of the spectrum, an adaptive compressed tensor decomposition algorithm is proposed to denoise the recovered spectral map in each iteration. In the second approach, the spectrum blanks are initialized by the linear interpolation to obtain the initial complete spectrum tensor. We use the Vision Transformer to solve a semantic segmentation problem in order to identify the semantic regions of the spectrum map in which the power of one emitter dominates. Then, the tensor completion is performed in the individual semantic tensor using the proposed compression algorithm. At last, the simulation results show that both the proposed approaches outperform the existing ones. We further observe that the semantic approach outperforms the Bayesian one for the sparse emitter scenarios while the Bayesian approach exhibits better recovery accuracy as the density of the emitters increases in the normali

关键词： Bayesian networks

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Multitarget gas alarm system for high-performance and anti-interference chemical warfare agents simulants detection

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Science China(Technological Sciences) 2025年第3期68卷 349-358页

作者： Yubin YUAN Qiang WU Menglong JIAO Haiyang WU Weihua LIU Xuming WANG Xiangrui BU Gong LI Chuanyu HAN Long HU Xin LI Xiaoli WANG Shool of Microelectronics School of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’an710049China The Key Lab of Micro-nano Electronics and System Integration of Xi’an City Xi’an710049China Hangzhou Institute for Advanced Study University of Chinese Academy of SciencesHangzhou310024China School of Automation and Information Engineering Xi’an University of TechnologyXi’an710048China Key Laboratory for Physical Electronics and Devices of the Ministry of Education Xi’an Jiaotong UniversityXi’an710049China School of Science Xi’an Jiaotong UniversityXi’an710049China

Chemical warfare agents(CWAs)can cause significant harm to health and even death in a very short time even when inhaled in small amounts(~100 mg min/m^(3)).Detection equipment based on conventional techniques,including gas chromatography-mass spectrometry,Raman spectroscopy,fluorescence spectroscopy,and ion mobility spectrometry,have the disadvantages of high cost,long detection time,and high power ***,portable,and convenient equipment for target CWAs detection under interference is a *** this study,we propose an alarm system comprising a multitype micro sensor array and a field-programmable gate array-based readout circuit for CWAs simulants *** common volatile organic compound,temperature,and water vapor interference,the proposed multitype sensor-based detection system realizes an alarm function in less than 20 s with thresholds of 1 ppm dimethyl methylphosphonate(DMMP),4.6 ppm 2,2'-dichlorodiethyl ether(DCE),and 20 ppm SO_(2).Furthermore,the proposed detection system was evaluated outside the laboratory and passed the wilderness test,demonstrating its reliability in the *** believe that the proposed alarm system will contribute to the development of intelligent,portable,low-cost,and anti-interference CWAs detection technology.

关键词： alarm system CWAs simulants surface acoustic wave sensor mixed gas anti-interference

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Geometry-Based Stochastic MIMO Channel Model for Near-Field and Far-Field Scenarios of Integrated Sensing and Communications

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IEEE Transactions on Vehicular Technology 2025年第5期74卷 6928-6940页

作者： Jin, Yunwei He, Ruisi Ai, Bo Yuan, Yuan Niu, Yong Zhang, Haoxiang Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation School of Electronics and Information Engineering Frontiers Science Center for Smart High-speed Railway System Beijing100044 China Ministry of Industry and Information Technology China Academy of Industrial Internet Beijing100804 China

Integrated sensing and communication (ISAC) has become a promising technology in current sixth-generation (6G) wireless communications due to its ability to support both communication and sensing. Existing works regarding ISAC channels mainly focus on far-field propagation conditions based on plane wave assumption. However, with the deployment of ultra-massive multiple-input multiple-output (MIMO), the far-field assumption may no longer hold, as the communication and sensing propagation distances distances may be comparable to the array aperture size. To address this issue, we propose a three-dimensional MIMO channel model that simultaneously considers near-field and far-field propagation conditions in ISAC environments. Additionally, we distinguish the communication and sensing propagation environments by employing different effective scatterer distributions. In the model, the sensing channel is divided into target sensing and environmental sensing components, whereas the communication channel is divided into line-of-sight and non-line-of-sight components. The weighted sum of each component in communication and sensing channels results in accurate channel representations. Based on the proposed model, we derive and thoroughly investigate space-time-frequency correlation function, normalized absolute error function, and channel capacity. A key observation is that the channel correlation strongly depends on scatterer distribution. In certain conditions, the sensing channel can effectively capture the behavior of the communication channel. Error function results indicate that the proposed channel model achieves fairly high accuracy in ultra-massive MIMO scenarios. These findings provide essential support for the development of ISAC systems in future 6G wireless communications. © 1967-2012 IEEE.

关键词： Stochastic systems

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Feature Extraction of Gait Data via PCA and Personal Identification Using Neural Networks 9

Feature Extraction of Gait Data via PCA and Personal Identif...

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9th International Conference on Big Data Analytics, ICBDA 2024

作者： Nishimura, Kazuki Ishida, Akio Murakami, Jun Yamamoto, Naoki National Institute of Technology Kumamoto College Advanced Course of Electronics and Information Systems Engineering Kumamoto Japan National Institute of Technology Kumamoto College Faculty of Liberal Arts Kumamoto Japan National Institute of Technology Kumamoto College Faculty of Electronics and Information Systems Engineering Kumamoto Japan

ISBN: (纸本)9798350352962

Gait analysis is used in a wide range of fields, including clinical applications such as diagnosis and rehabilitation, investigation of gender and racial differences, and personal identification, which is important in forensic investigations and security. In recent years, gait data can be obtained from force plates, 3D motion capture, RGB cameras, and so on. In this study, we applied principal component analysis (PCA) to gait data captured with an RGB camera and analyzed the main data characteristics. However, the data used here is joint information whose posture is estimated using neural networks (NN) from gait videos taken with the camera. Furthermore, we created a NN model for personal identification using data whose dimensionality was reduced using PCA and attempted the identification. © 2024 IEEE.

关键词： Phishing

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Research on Metamaterial Technology for Microwave Wireless Power Transfer

Research on Metamaterial Technology for Microwave Wireless P...

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2024 International Symposium on Antennas and Propagation, ISAP 2024

作者： Yamamoto, Tsunayuki Kobashi, Takeo Maruyama, Tamami Department of Integrated Science and Technology National Institute of Technology Tsuyama College Tsuyama-shi Japan Advanced Electronics and Information System Engineering Course National Institute of Technology Tsuyama College Tsuyama-shi Japan Department of Production Systems Engineering Institute of Technology Hakodate College Hakodate-shi Japan

ISBN: (纸本)9798350364774

In this paper, two technologies of metamaterial for microwave wireless power transfer are shown. One is a zeroth-order resonance for a microwave snow melting system, and another one is a focusing reflector for realizing of a highly efficient wireless power transfer space. A zeroth-order resonance leads a uniformed microwave heating and a flexibility of feeding in a snow melting system. Focusing reflector can make some electromagnetic hot and null points in a space. These are expected to be required technologies for highly efficient wireless power transfer. © 2024 IEEE.

关键词： Reflection

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Analysis of the performance of robotic assembly systems considering the usage of tools or jigs for the task-board task in the WRS 2018

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advanced Robotics 2023年第20期37卷 1329-1346页

作者： Dobashi, Hiroki Ogawa, Koki Shibata, Mizuho Uemura, Wataru Yokokohji, Yasuyoshi Faculty of Systems Engineering Wakayama University Wakayama Japan Graduate School of Systems Engineering Wakayama University Wakayama Japan Department of Robotics Faculty of Engineering Kindai University Higashi-Hiroshima Japan Electronics Information and Communication Engineering Course Faculty of Advanced Science and Technology Ryukoku University Otsu Japan Department of Mechanical Engineering Graduate School of Engineering Kobe University Kobe Japan

A task-board task is a task in which robots perform a set of fundamental assembly operations related to the assembly of a specific product such as inserting a part into another part, tightening bolts and nuts, attaching flexible parts, etc. In the task-board task competition in the industrial robotics category of the World Robot Summit (WRS) 2018, 15 teams from around the world performed the task. In our previous work, we observed recorded videos of the competition frame by frame and manually investigated the performance of robotic systems of the top four teams, focusing only on whether robots contact target parts. In this paper, we introduce frame sets to represent mainly contact states between robots, tools, or jigs and target parts to be handled for such a frame-by-frame analysis of the recorded videos, and based on the frame sets, we analyze the performance of robotic assembly systems of other teams as well as the top four teams in the task-board task competition in the WRS 2018, considering the usage of tools or jigs. © 2023 Informa UK Limited, trading as Taylor & Francis Group and The Robotics Society of Japan.

关键词： Robotic assembly

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Development of a Bio-inspired Tailless FWMAV with High-Frequency Flapping Wings Trajectory Tracking Control

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Journal of Bionic engineering 2024年第5期21卷 2145-2166页

作者： Qingcheng Guo Chaofeng Wu Yichen Zhang Feng Cui Wu Liu Xiaosheng Wu Junguo Lu National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong UniversityShanghai200240China Department of Micro/Nano Electronics School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai200240China Department of Automation Shanghai Jiao Tong UniversityShanghai200240China The Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai200240China

The development of a tailless Flapping Wing Micro Aerial Vehicle(FWMAV)inspired by the hummingbird is presented in this *** implementing mechanical simplifications,it is possible to use planar machining technology for manufacturing of the FWMAV’s body,greatly reducing assembly ***,studies on flapping wing aircraft are limited to open-loop wing kinematics *** this work,an instantaneous closed-loop wing trajectory tracking control system is introduced to minimize wings’trajectory tracking *** control system is based on Field-Oriented Control(FOC)with a loop shaping compensation technique near the flapping *** frequency analysis,the loop shaping compensator ensures the satisfactory bandwidth and performance for the closed-loop flapping *** implement the proposed controller,a compact autopilot board integrated with FOC hardware is designed,weighing only 2.5 *** utilizing precise wing trajectory tracking control,the hummingbird-inspired FWMAV demonstrates superior ability to resist external disturbances and exhibits reduced attitude tracking errors during hovering flight compared to the open-loop wing motion.

关键词： Flapping Wing Micro Aerial Vehicle(FWMAV) Bio-inspired robotics Trajectory control Loop shaping compensator Field-Oriented Control(FOC)

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Absolute longitudinal distance measurement verification of a standard polystyrene nanoparticle near a surface in water by means of multi-wavelength evanescent field 22

Absolute longitudinal distance measurement verification of a...

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22nd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2022

作者： Blattler, Aran Khajornrungruang, Panart Suzuki, Keisuke Baba, Akiyoshi Goto, Daiki Graduate School of Computer Science and System Engineering Mechanical Information Science and Technology Course Kyushu Institute of Technology Fukuoka Japan Department of Intelligent and Control Systems Advanced Mechanical Division Kyushu Institute of Technology Fukuoka Japan Center of Microelectronic System Kyushu Institute of Technology Fukuoka Japan School of Computer Science and System Engineering Advanced Mechanical Course Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9781998999118

In the wet semiconductor process, abrasive nanoparticles are widely used in the chemical mechanical polishing (CMP) process to polish wafer surfaces for high planarization. During polishing, nanoparticles move with a high-speed three-dimensional (3D) position in the solution. In the 3D particles's moving positions, Z is a perpendicular longitudinal distance between the surface to the nanoparticle that plays a significant role in polishing, which could not be measured by general microscopy without longitudinal scanning. To understand nanoparticle phenomena near-surface, we have proposed and developed the apparatus with real-time fastmotion tracking on optical multi-wavelength evanescent fields microscopy to measure the 3D motion of the nanoparticle in water without scanning. In euspen's 2020, we could verify the relative distance ?Z of nanoparticles in water, but the absolute distance Z is unknown yet. In this manuscript, we have therefore developed an invisible nano-step height in water to verify the absolute height Z of an individual nanoparticle. The invisible nano-step height in water is made from an optical resin with a refractive index of 1.35 that is close to a refractive index of water to avoid unnecessary light during experimental verification. The nano-step height was less than 100 nm on a glass surface, fabricated using nanoimprint lithography. Polystyrene f100 nm standard particles in water were used to verify the height Z. The results of height Z of nanoparticles could be measured less than 100 nm with the measurement uncertainty ±10 nm (2s), which is related to the interferometer result of the nano-step height. © European Society for Precision engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Nanoparticles

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A Topology Design Method for Satellite Networks based on Deep Reinforcement Learning 8

A Topology Design Method for Satellite Networks based on Dee...

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8th International Conference on Electronic Technology and information Science, ICETIS 2023

作者： Zheng, Yuning Lyu, Yifeng Wang, Ying Sui, Xiufeng Zhu, Liyue Xu, Shubin School of Information and Electronics Beijing Institute of Technology Beijing China Institute of Spacecraft System Engineering China Academy of Broadcasting Science SAPPRFT China CETC Advanced Mobile Communication Innovation Centre China

ISBN: (纸本)9781510666535

Recently, Low Earth Orbit (LEO) satellite constellations with low-latency and high-bandwidth attract extensive research. However, most available studies focused on the field of satellite network routing algorithms, ignoring the impact of topology on the efficiency of inter-satellite networking and the quality of inter-satellite communication. In this paper, we propose a satellite network topology design method based on deep reinforcement learning (DRL), with the goal of reducing the latency of the entire satellite network. To achieve this goal, we first model the satellite network communication scene and formulate the topology optimization problem as a Markov decision process (MDP). Then, we further propose the idea of backbone-point satellites and use DRL to optimize the topology structure. Finally, we conduct extensive experiments on different performances of satellite topology, and we conclude that the network topology constructed in this way can provide lower latency communications than the motif and +Grid topologies, optimized by 8.48% and 42.86% respectively. © 2023 SPIE.

关键词： Reinforcement learning

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Proposal of a novel peeling of nano-particle (PNP) process for localized material removal on a hard material surface by controllable magnetic fields 22

Proposal of a novel peeling of nano-particle (PNP) process f...

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22nd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2022

作者： Permpatdechakul, Thitipat Khajornrungruang, Panart Suzuki, Keisuke Kutomi, Shotaro Graduate School of Computer Science and System Engineering Mechanical Information Science and Technology Course Kyushu Institute of Technology Fukuoka Japan Department of Intelligent and Control Systems Avanced Mechanical Division Kyushu Institute of Technology Fukuoka Japan School of Computer Science and System Engineering Advanced Mechanical Course Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9781998999118

This article proposes a novel Peeling of Nano-Particle (PNP) process to locally remove material on a hard material surface using controllable magnetic fields. Fe3O4 particles in the size range of 50-100 nm in aqueous solution (pH value 11 adjusted by KOH) were magnetically controlled to adhere and remove from a 4H-SiC surface by two electromagnetic coils, which were sandwiched between the substrate. The particle controlling phenomenon on the surface was experimentally observed and verified by our developed apparatus applying an evanescent field. According to the results, particles could be controlled to approach and remove from the substrate surface with 12mT of magnetic field at the selective area on the substrate surface to realise the proposed PNP process. © European Society for Precision engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Magnetic fields

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