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2022 IEEE International Conference on Unmanned Systems, ICUS 2022

作者： Deng, Yingjie Xu, Yifei Zhao, Dingxuan Gao, Hongbo Jin, Xiaozhao School of Mechanical Engineering Yanshan University Qinhuangdao China University of Science and Technology of China Department of Automation Hefei China School of Automation Chengdu University of Information Technology Chengdu China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

This paper studies trajectory tracking control of the unmanned surface vehicle (USV) under the influence of additive measurement noise. An event-triggered adaptive neural control approach is proposed to reduce the communication traffic from the sensors to the controller. The neural network (NN) is employed for the approximation of the uncertainty. To overcome the problem of 'jumps of virtual control laws', an event-triggered adaptive model is fabricated, which can generate the continuous substitutes for the measured states and play the role of the filter. The detrimental influence of measurement noise can be eliminated. By following from the adaptive backstepping method, the control laws are devised. By using the measured states, the triggering condition is constructed. Indirect adaptive laws are fabricated to guarantee the approximation precision of the NN. It is proved that all the estimation and tracking errors are bounded in the sense of mean quadratic values. Simulation substantiates that the proposed scheme is feasible. © 2022 IEEE.

关键词： Unmanned surface vehicles

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A new method of crop yield prediction based on artificial intelligence

A new method of crop yield prediction based on artificial in...

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2023 International Conference on Big Data, Information and Intelligent engineering, BDIIE 2023

作者： Zhang, Yuanmin Liao, Yule Li, Yanjun Industrial Internet Co. Ltd. Chengdu610000 China School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China

With the rapid growth of population, the continuous reduction of arable land and the acceleration of urbanization, the challenges facing agriculture are becoming increasingly severe. The rapid development of the new generation of digital economy, such as the industrial Internet, cloud computing and ChatGPT, has brought all-round impact on people's lives and the global economy. At the same time, the changes of social economy and technology have promoted the development of agricultural production, and the application of intelligent stage number to create smart agriculture can improve the land output rate, labor productivity and resource utilization rate, and achieve sustainable agricultural development. Agricultural intelligence will become an important development direction of agriculture in the future. In this paper, an artificial intelligence-based method of crop yield prediction was proposed to improve the prediction accuracy of crop yield by using smart agriculture. © Published under licence by IOP Publishing Ltd.

关键词： Crops

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Intra-Graph-Based Few-Shot Link Prediction in Knowledge Graph 6

Intra-Graph-Based Few-Shot Link Prediction in Knowledge Grap...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Jonathan, Anto Leoba Bamisile, Olusola Cai, Dongsheng Joseph, Ejiyi Chukwuebuka Junior Nkou Nkou, Joseph Huang, Qi Chengdu University of Technology School of Nuclear and Automation Engineering Chengdu China Chengdu University of Technology Sichuan Indust. Internet Intelligent Monitoring and Applic. Engineering Technology Research Center Chengdu China University of Electronic Science and Technology of China School of Information and Software Engineering Chengdu China

ISBN: (纸本)9798350347159

Knowledge graphs (KG) that express the structure of relations between entities have become an increasingly attractive area in research into cognition and intelligence at the human level. One of the most known challenges in KG, which is the fact that a large number of training examples are required for every relation to predict a new triple, has sparked increasing interest in the few-shot link prediction method. Existing work on few-shot link prediction does not fully exploit entity information such as symmetry. In this work, we made a prediction of new triples about relations by observing only a few associative triples. In order to make new predictions of triples, we concentrated on the transfer of the most important common information and the reconciliation of the entity between the set and query set support by using Intra-Graph. Our experiment are lead on two datasets and demonstrated that our results achieved the state-of-the-art in few-shot link prediction. © 2022 IEEE.

关键词： Knowledge graph

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Integrated Sliding Mode Fault- Tolerant Control for Dynamic Positioning T-S Fuzzy Models of Unmanned Marine Vehicles with Thruster Saturation 14

Integrated Sliding Mode Fault- Tolerant Control for Dynamic ...

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14th Asian Control Conference, ASCC 2024

作者： Wang, Yang Hao, Li-Ying Li, Tieshan Philip Chen, C.L. College of Navigation Dalian Maritime University Dalian China Marine Electrical Engineering College Dalian Maritime University Dalian China College of Automation Engineering University of Electronic Science and Technology of China Chengdu China College of Computer Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9789887581598

This research focuses on addressing the fault-tolerant control (FTC) issue in the context of Takagi-Sugeno (T-S) fuzzy models applied to unmanned marine vehicles (UMVs) with saturation phenomenon. Firstly, considering the saturation and faults of the thrusters, the corresponding T-S fuzzy models for UMV s are established. a novel strategy for integral sliding mode control (ISM C) is developed to address the impact of thruster faults, saturation and ocean disturbances. In contrast to conventional integral sliding mode approaches, this study simultaneously integrates thruster saturation and fault estimation information to construct the sliding surface, thereby reducing conservatism. Ultimately, the comparative simulations have show-cased the effectiveness of the proposed scheme. © 2024 Asian Control Association.

关键词： Sliding mode control

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B3+-enhanced zinc aluminate microwave dielectric ceramics for thermally matched electronic packages with GaAs semiconductors

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Ceramics International 2025年

作者： Li, Fuyu Li, Yuanxun Huang, Liyuan Liu, Xinyan Hu, Chuanhao Tang, Ge Ruan, Limei Li, Chuming Shang, Yanfeng College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu610054 China Tianfu Jiangxi Laboratory Chengdu641419 China

To ensure the reliability of integrated circuits, ceramic packaging materials need to combine microwave dielectric and thermal expansion properties that match those of semiconductors. Here, novel ZnAl2-xBxO4 ceramics are developed by solid-state sintering to meet the basic needs of electronic packaging. The B3+ can effectively improve the microstructure, density, and microwave dielectric properties of ZnAl2O4 ceramic. The ZnAl1.96B0.04O4 ceramic sintered at 1450 °C has a high relative density (∼96.4 %), uniformly distributed grains (average grain size = 2.98 μm), and excellent microwave dielectric properties (Εr = 8.3, Q × f = 68586 GHz, and τf = −46.5 ppm/°C). More importantly, the coefficient of thermal expansion (CTE = 7.21 ppm/°C) of the ZnAl1.96B0.04O4 ceramic can be nearly matched to GaAs semiconductors (CTEGaAs = 6.97 ppm/°C). The linearities of the thermal expansion curves of ZnAl2-xBxO4 ceramics are effectively improved. This ceramic has great potential for application in the electronic packaging of GaAs semiconductor devices. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： III-V semiconductors

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A comparison between deep-learning models for scene recognition 12

A comparison between deep-learning models for scene recognit...

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SPIE 12th International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2023

作者： Liu, Zongzhen Zhang, Jianlin Peng, Xiaoming National Key Laboratory of Optical Field Manipulation Science and Technology Chinese Academy of Sciences Chengdu China Key Laboratory of Optical Engineering Chinese Academy of Sciences Chengdu China Institute of Optics and Electronics Chinese Academy of Sciences Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China University of Chinese Academy of Science Beijing China

ISBN: (数字)9781510674967

ISBN: (纸本)9781510674950

Scene recognition has a wide range of applications in autonomous driving, security monitoring, smart home, and so on. Though traditional methods achieved good results in this field, nowadays deep-learning methods are the dominator. In this paper, we conducted an extensive comparison of the performance of five deep-learning models on a common dataset to reveal their strength and weakness. Experimental results show that, of the five deep learning models, ConvNeXt works the best. In addition, all five models outperform a traditional method that used to be the state of the art. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Deep learning

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KSOM: Kernel-Subspace Optimization Method for Full-Wave Inverse Scattering Imaging

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IEEE Antennas and Wireless Propagation Letters 2025年

作者： Zhang, Tingsen Tang, Yu Li, Xifeng Bi, Dongjie Xie, Yongle University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

In the domain of full-wave inverse scattering imaging problems, subspace-based optimization methods (SOM) often perform suboptimal performance under significant noise conditions due to the intrinsic ill-posedness and nonlinearity of the problem. This paper introduces the kernel-subspace optimization method (KSOM), an innovative approach that combines the robust framework of SOM with the adaptive learning strengths of kernel methods. KSOM transforms the subspace into the reproducing kernel Hilbert space (RKHS), and the iterative process of SOM is learned within this space using the minimum mean square error criterion. The experimental results show that, compared with the classic SOM algorithm, the KSOM algorithm has significantly improved performance: the SSIM index evaluation increased by 21.43% on average, and the PSNR index increased by 9.53% on average. This advancement opens new avenues for integrating machine learning techniques with physics-based models in computational electromagnetics. © 2002-2011 IEEE.

关键词： Mean square error

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Intelligent Analysis and Application of Judicial Big Data Sharing Based on Blockchain 6

Intelligent Analysis and Application of Judicial Big Data Sh...

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6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023

作者： Zhang, Yuanmin Jiang, Junjun Li, Yanjun Industrial Internet Co. Ltd. Chengdu610000 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

ISBN: (纸本)9781665491259

In the era of continuous development of big data, the application of data sharing in the judicial field is still in its infancy, which improves the work efficiency to a certain extent, but also exposes the problems of mutual trust between departments, data security, personal privacy and so on. Based on the outstanding characteristics of regional chain technology such as decentralization and immutability, blockchain has been widely used in this field, and it has also been used as an important means to promote judicial modernization, which solves these problems well. This paper focuses on the use of regional chains to solve the problems arising in the process of judicial big data sharing, and proposes to use high-value judicial evidence chains to obtain storage methods, devices and readable storage media on the basis of blockchain to achieve intelligent data sharing. © 2023 IEEE.

关键词： Big data

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Signal Acquisition and Processing Method for Capacitive Electromagnetic Flowmeter

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Journal of Electronic Science and technology 2021年第1期19卷 79-88页

作者： Hong-Yu Yang Yan Chen Hui Zhao the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731 the School of Aeronautics and Astronautics University of Electronic Science and Technology of ChinaChengdu 611731

A kind of signal acquisition circuit and the related signal processing method of the capacitanceelectromagnetic flowmeter (EMF) were introduced. The circuit can eliminate the influence of distributed capacitanceon the input impedance of the operational amplifier, and greatly improve the input impedance of the detection circuitto overcome the disadvantage of high signal source impedance. The rotating capacitor filter is a signal processingmethod based on the phase-sensitive detection technology. It can extract the weak signal from the strong and widebandbackground noise, so it is very suitable for the processing of capacitive electromagnetic flow signals. Throughthe comparison of the signal amplitude obtained at different flow rates and the comparison of signal spectrumcomponents before and after the filter, the effectiveness of the bootstrap signal acquisition circuit and rotatingcapacitor filtering method is verified.

关键词： Bootstrap circuit capacitive coupling electromagnetic induction fluid flow measurement lock-in amplifier.

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Design and Implementation of Dual-channel 100MSPS Data Acquisition Module

Design and Implementation of Dual-channel 100MSPS Data Acqui...

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2021 International Conference on Detection technology and Intelligence System, DTIS 2021

作者： Yang, Hong Li, Xuemei Wang, Yifan Xu, Bo School of Mechanical and Electrical Engineering Chengdu University of Technology Sichuan Chengdu610051 China School of Automation Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China

Aiming at the problems of single channel acquisition mode of traditional oscilloscope recorder, insufficient acquisition flexibility, low acquisition frequency, transmission delay, etc., this paper proposes a design method of dual-channel signal acquisition module based on FPGA hardware platform. This design uses a high-sampling-rate ADC chip AD9268 as a dual-channel acquisition port to achieve 100MSPS sampling frequency acquisition, while simultaneously transmitting the converted digital signal through the SerDes serial port. In the FPGA implementation process, a channel conditioning module is added to adjust the gain and offset of the input data. The test results show that the system can realize synchronous sampling, processing, and transmission of the input analog signal, and the acquisition process is stable, and the collected signal has a high degree of restoration and no distortion. © Published under licence by IOP Publishing Ltd.

关键词： Data acquisition

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