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Capacitive Sensing in High-speed Molecular communication System: A Non-invasive Interface for the Internet of Bio-Nano Things

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IEEE Internet of Things Journal 2025年第11期12卷 16711-16719页

作者： Huang, Xuewei Liu, Jiarui Lin, Lin Wen, Miaowen Gan, Wancheng Huang, Yu Guangzhou University Research Center of Intelligent Communication Engineering School of Electronics and Communication Engineering Guangzhou510006 China Tongji University College of Electronics and Information Engineering Shanghai201804 China School of Electronic and Information Engineering in South China University of Technology Guangdong Provincial Key Laboratory of Short-Range Wireless Detection and Communication Guangzhou510641 China

Molecular communication (MC) is a prominent technique within the Internet of Bio-nano Things (IoBNT), which aims to interconnect artificial and biological devices for pioneering healthcare applications. Despite its rapid advancements in theoretical study, the experimental development of MC is still in the infancy stage, and most existing testbeds require intruding hardware into the channel during the signal detection process, potentially harming the organism. Against this background, the non-invasive interface across the internal and external information exchange of organisms is of great necessity. Specifically, this work adopts a capacitive sensing mechanism to recover information from the sensed chemical signals. Our testbed demonstrates a notably higher transmission rate than previously reported non-invasive MC approaches, underscoring its potential to advance IoBNT research. © 2025 IEEE.

关键词： Testbeds

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3D semantic map construction based on point cloud and image fusion

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IET Cyber-Systems and Robotics 2023年第1期5卷 132-142页

作者： Huijun Li Hailong Zhao Bin Ye Yu Zhang School of Information and Control Engineering China University of Mining and TechnologyXuzhouChina

Accurate and robust positioning and mapping are the core functions of autonomous mobile robots,and the ability to analyse and understand scenes is also an important criterion for the intelligence of autonomous mobile *** the outdoor environment,most robots rely on GPS *** the signal is weak,the positioning error will interfere with the mapping results,making the semantic map construction less *** research mainly designs a semantic map construction system that does not rely on GPS signals for large outdoor *** mainly designs a feature extraction scheme based on the sampling characteristics of Livox-AVIA solid-state *** factor graph optimisation model of frame pose and inertial measurement unit(IMU)pre-integrated pose,using a sliding window to fuse solid-state LiDAR and IMU data,fuse laser inertial odometry and camera target detection results,refer to the closest point distance and curvature for semantic *** point cloud is used for semantic segmentation to realise the construction of a 3D semantic map in outdoor *** experiment verifies that laser inertial navigation odometry based on factor map optimisation has better positioning accuracy and lower overall cumulative error at turning,and the 3D semantic map obtained on this basis performs well.

关键词： artificial intelligence deep learning environment perception sensor fusion

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Spatial-temporal initialization dilemma: towards realistic visual tracking

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Visual Intelligence 2024年第1期2卷 1-16页

作者： Liu, Chang Yuan, Yongsheng Chen, Xin Lu, Huchuan Wang, Dong School of Information and Communication Engineering Dalian University of Technology Liaoning Dalian China

In this paper, we first investigate the phenomenon of the spatial-temporal initialization dilemma towards realistic visual tracking, which may adversely affect tracking performance. We summarize the aforementioned phenomenon by comparing differences of the initialization manners in existing tracking benchmarks and in real-world applications. The existing tracking benchmarks provide offline sequences and the expert annotations in the initial frame for trackers. However, in real-world applications, a tracker is often initialized by user annotations or an object detector, which may provide rough and inaccurate initialization. Moreover, annotation from the external feedback also introduces extra time costs while the video stream will not pause for waiting. We select four representative trackers and conduct full performance comparison on popular datasets with simulated initialization to intuitively describe the initialization dilemma of the task. Then, we propose a simple compensation framework to address this dilemma. The framework contains spatial-refine and temporal-chasing modules to mitigate performance degradation caused by the initialization dilemma. Furthermore, the proposed framework can be compatible with various popular trackers without retraining. Extensive experiments verify the effectiveness of our compensation framework. © The Author(s) 2024.

关键词： Interactive annotation Single object tracking Spatial-temporal initialization Visual tracking

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Research on Intelligent Signal Detection in the Internet of Things Based on Deep Learning Algorithms 24

Research on Intelligent Signal Detection in the Internet of ...

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3rd International Conference on Algorithms, Data Mining, and information technology, ADMIT 2024

作者： Liu, Xingcen School of Information and Communication Engineering Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9798400718120

With the rapid development of Internet of Things technology, intelligent signal detection has become a highly challenging key issue. Traditional manual feature extraction methods are no longer able to cope with complex and ever-changing practical environments. In response to this issue, this study proposes an intelligent signal detection model for the Internet of Things based on deep learning. This model adopts a convolutional neural network structure, which can automatically learn local pattern features in signals, thereby improving its adaptability to complex environments. Research a large-scale wireless signal dataset constructed based on real IoT scenarios, and adopt reasonable data preprocessing and augmentation strategies. Through scientific model training and multi-dimensional evaluation index settings, a comprehensive evaluation of the proposed model was conducted on the test set. The experimental results show that the model has achieved excellent performance over traditional methods in key indicators such as accuracy, recall, and F1 score, especially in complex signal recognition scenarios. © 2024 Copyright held by the owner/author(s).

关键词： Deep learning algorithms

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Non-LOS target localization via millimeter-wave automotive radar

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Journal of Systems engineering and Electronics 2023年第5期34卷 1171-1181页

作者： LIU Zhaoyu ZHANG Wenli ZHENG Jingyue GUO Shisheng CUI Guolong KONG Lingjiang LIANG Kun School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China School of Intelligent Engineering Zhengzhou University of AeronauticsZhengzhou 450046China

This paper considers the non-line-of-sight(NLOS)vehicle localization problem by using millimeter-wave(MMW)automotive *** preliminary attempts for NLOS vehicle detection are carried out and achieve good ***,an electromagnetic(EM)wave NLOS multipath propagation model for vehicle scene is ***,with the help of available multipath echoes,a complete NLOS vehicle localiza-tion algorithm is ***,simulation and experimental results validate the effectiveness of the established EM wave propagation model and the proposed NLOS vehicle localization algorithm.

关键词： millimeter-wave(MMW)automotive radar multipath propagation model non-line-of-sight(NLOS)vehicle localization

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Research on bearing fault diagnosis based on a multimodal method

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Mathematical Biosciences and engineering 2024年第12期21卷 7688-7706页

作者： Chen, Hao Li, Shengjie Lu, Xi Zhang, Qiong Zhu, Jixining Lu, Jiaxin School of Information Engineering Nantong Institute of Technology Jiangsu Nantong226002 China Division of Information and Communication Convergence Engineering Mokwon University Daejeon35349 Korea Republic of

As an essential component of mechanical systems, bearing fault diagnosis is crucial to ensure the safe operation of the equipment. However, vibration data from bearings often exhibit non-stationary and nonlinear features, which complicates fault diagnosis. To address this challenge, this paper introduces a novel multi-scale time-frequency and statistical features fusion model (MTSF-FM). Specifically, the method first employs continuous wavelet transform to generate time-frequency images, capturing local and global features of the signal at different scales. Contrast enhancement techniques are then used to improve the visual quality of these images. Next, features are extracted from the time-frequency images using a visual geometry group network to obtain deep features of image modalities. In parallel, 13 key features are extracted from the original vibration data in the time-frequency domain. Convolutional neural networks are then employed for deep feature extraction. Experimental results demonstrate that MTSF-FM achieves accuracies of 98.5% and 95.1% on two public datasets. These findings highlight the effectiveness of MTSF-FM in analyzing complex vibration data and propose a novel method for bearing fault diagnosis. ©2024 the Author(s)

关键词： bearing fault diagnosis deep feature non-stationary nonlinear time-frequency

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Designing Uncorrelated Multiple Antennas with Round Patterns Using Handset Metal Frames

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Chinese Journal of Electronics 2022年第6期31卷 1173-1180页

作者： LI Hui XU Jialu DIAO Yunze ZHOU Changfei School of Information and Communication Engineering Dalian University of Technology Research Institute of Electrical Communication Tohoku University

Multiple antennas with low correlations are highly in demand in the mobile handsets for higher data rate. At the same time, the total pattern provided by the antennas should be as round as possible for reliable links. In this paper, by analysing the characteristic modes of the mobile chassis loaded by ultra-thin metal frames, a four-antenna system with a round total pattern is designed at 2.4 GHz. The gain variations are only 3.4 dB and 3.6 dB on two dominant planes. The isolations between antennas are above 15 dB, and the correlations are below 0.01, with intact ground plane and small ground clearance of 2 mm maintained. Afterwards, an eight-port antenna system is designed by taking advantage of the ground clearance and exciting modes with different phases. Low correlations of below 0.07 are obtained. The antenna system is fabricated, with the measured results agreeing well with the simulated ones.

关键词： intact ground plane total pattern eight-port antenna system ultra-thin metal frames antenna arrays antenna radiation patterns mobile handsets exciting modes gain variations characteristic modes mobile antennas handset metal frames dominant planes reliable links uncorrelated multiple antennas design ground clearance mobile chassis UHF antennas four-antenna system

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Signal design for MIMO dual-function systems with permutation learning

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Science China(information Sciences) 2023年第10期66卷 297-315页

作者： Jing YANG Xianxiang YU Minghui SHA Wen FAN Guolong CUI School of Electrical and Information Engineering Zhengzhou University School of Information and Communication Engineering University of Electronic Science and Technology of China Beijing Institute of Radio Measurement The 54th Research Institute of China Electronics Technology Group Corporation

This paper addresses the signal matrix synthesis in the multi-input-multi-output(MIMO) dualfunction system aimed at obtaining the desired radar beampattern while embedding communication symbols into the permutation matrix of each pulse. To this end, transmit beampattern peak mainlobe to sidelobe level ratio(PMSR) is considered the figure of merit. Besides, the phases of the codebook induced by the designed weight vectors impinged on the directions of the communication receivers and eavesdroppers are restricted to be uniformly distributed and totally the same, respectively. To handle the resulting design problem, an iterative algorithm is devised to account for the coupled quadratic fractional programming objective function with multi-equality constraints, capitalizing on the alternating direction method of multipliers(ADMM) framework. As to the demodulation process for permutation learning, a novel algorithm based on the alternating direction penalty method(ADPM) framework is proposed to handle the mix-boolean optimization problem with the correlation between the communication dictionary and permutation of the received filtered data maximized. Finally, numerical results highlight the effectiveness of the conceived algorithms in comparison with the existing counterparts.

关键词： dual function radar and communication (DFRC) system multi-input multi-output (MIMO) radar beampattern alternating direction method of multipliers (ADMM) permutation learning mix-boolean optimization problem alternating direction penalty method (ADPM)

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Offline-Online Actor-Critic

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第1期5卷 61-69页

作者： Wang, Xuesong Hou, Diyuan Huang, Longyang Cheng, Yuhu China University of Mining and Technology Engineering Research Center of Intelligent Control for Underground Space Ministry of Education and School of Information and Control Engineering Xuzhou221116 China

Offline-online reinforcement learning (RL) can effectively address the problem of missing data (commonly known as transition) in offline RL. However, due to the effect of distribution shift, the performance of policy may degrade when an agent moves from offline to online training phases. In this article, we first analyze the problems of distribution shift and policy performance degradation in offline-online RL. Then, in order to alleviate these problems, we propose a novel RL algorithm offline-online actor-critic (O2AC) algorithm. In O2AC, a behavior clone constraint term is introduced into the policy objective function to address the distribution shift in offline training phase. In addition, in online training phase, the influence of the behavior clone constraint term is gradually reduced, which alleviates the policy performance degradation. Experiments show that O2AC outperforms existing offline-online RL algorithms. © 2020 IEEE.

关键词： Reinforcement learning

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A compatible carbon efficiency information service framework based on the industrial internet identification

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Digital communications and Networks 2024年第4期10卷 884-894页

作者： Cheng Chi Yang Liu Baoluo Ma Senchun Chai Puning Zhang Zihang Yin School of Automation Beijing Institute of TechnologyBeijing100000China Institute of Industrial Internet and Internet of Things China Academy of Information and Communications TechnologyBeijing100191China School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China

Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic *** explainable and available carbon emission data can be accurately obtained,it will help policy regulators and enterprise managers to more accurately implement this development strategy.A lot of research has been carried out,but it is still a difficult problem that how to accommodate and adapt the complex carbon emission data computing models and factor libraries developed by different regions,different industries and different ***,with the rapid development of the Industrial Internet,it has not only been used for the supply chain optimization and intelligent scheduling of the manufacturing industry,but also been used by more and more industries as an important way of digital *** in China,the Industrial Internet identification and resolution system is becoming an important digital infrastructure to uniquely identify objects and share ***,a compatible carbon efficiency information service framework based on the Industrial Internet Identification is proposed in this paper to address the problem of computing and querying multi-source heterogeneous carbon emission *** have defined a multi cooperation carbon emission data interaction model consisting of three roles and three basic ***,the implementation of the framework includes carbon emission data identification,modeling,calculation,query and *** practice results show that its capability and effectiveness in improving the responsiveness,accuracy,and credibility of compatible carbon efficiency data query and sharing services.

关键词： Industrial internet Identification and resolution Carbon emission data Carbon efficiency evaluation Carbon footprint tracking

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