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Design, Automation and Test in Europe Conference and Exhibition

作者： Xiangyu Li Weichong Chen Ruida Hong Jinghai Wang Ningyuan Yin Zhiyi Yu School of Microelectronics Science and Technology Sun Yat-sen University China Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems China

ISBN: (数字)9783982674100

ISBN: (纸本)9798331534646

Analog in-memory-computing (AIMC) is adopted extensively in non-volatile memory for multibit multiply-and-accumulate (MAC) operation. However, the low-on/off-ratio feature of magnetic tunnel junction (MTJ) impedes a high-performance AIMC macro based on spin transfer torque magnetic random access memory (STT-MRAM). Secondly, because of the uncertainty feature of a mixed-signal system under process and voltage variation, a calibration support is indispensable. Moreover, the incompatibility between a nonlinear analog signal and a linear digital signal hinders accurate computation and calibration support. To overcome these challenges, this work proposes a STT-MRAM-AIMC macro featuring: 1) a 2-level-differential cell array and a linear computing scheme with a calibration support in analog domain; 2) an analog-digital-conversion (ADC) system, including a slew-rate-independent voltage-to-time converter (SRIVTC) scheme and a self-triggered time-to-MAC value converter (STTMC) scheme; 3) a compact layout design for high area efficiency. Finally, an average accuracy of 95.44% is obtained under the TT&0.9V corner. By using the calibration strategy, the average accuracy of 97.8% and 88.6% are obtained under FF&0.945V and SS&0.855V separately, with over 30% enhancement. Furthermore, a 1.64~21.18 times area FoM than state of the art is obtained. An energy efficiency of 87.2~312.4 TOPS/W is obtained.

关键词： Accuracy Uncertainty Torque Nonvolatile memory Magnetic separation Random access memory Magnetic domains Voltage Calibration Magnetic tunneling

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An Overlapped-Dense LSTM Neural Network for Nonlinear Optical Fiber Transmissions 21

An Overlapped-Dense LSTM Neural Network for Nonlinear Optica...

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21st International Conference on Optical Communications and Networks, ICOCN 2023

作者： Hu, Xubin Yi, Xingwen Chen, Yifan Sun, Wei Sun Yat-sen University Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Guangzhou510275 China Hengtong Optic-electric Co. Ltd. R&d Department Suzhou215200 China

We propose an overlapped dense long short-term memory network (OD-LSTM) that consumes different hidden units at different time steps. We use it for effective fiber nonlinearity compensation with a lower complexity. &#... 详细信息

ISBN: (纸本)9798350343502

关键词： Long short-term memory

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FDAIMC: A Fully-Differential Analog In-Memory-Computing for MAC in MRAM with Accuracy Calibration Under Process and Voltage Variation

FDAIMC: A Fully-Differential Analog In-Memory-Computing for ...

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2025 Design, Automation and Test in Europe Conference, DATE 2025

作者： Li, Xiangyu Chen, Weichong Hong, Ruida Wang, Jinghai Yin, Ningyuan Yu, Zhiyi School of Microelectronics Science and Technology Sun Yat-sen University China Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems China

ISBN: (纸本)9783982674100

Analog in-memory-computing (AIMC) is adopted extensively in non-volatile memory for multibit multiply-and-accumulate (MAC) operation. However, the low-on/off-ratio feature of magnetic tunnel junction (MTJ) impedes a high-performance AIMC macro based on spin transfer torque magnetic random access memory (STT-MRAM). Secondly, because of the uncertainty feature of a mixed-signal system under process and voltage variation, a calibration support is indispensable. Moreover, the incompatibility between a nonlinear analog signal and a linear digital signal hinders accurate computation and calibration support. To overcome these challenges, this work proposes a STT-MRAM-AIMC macro featuring: 1) a 2-level-differential cell array and a linear computing scheme with a calibration support in analog domain;2) an analog-digital-conversion (ADC) system, including a slew-rate-independent voltage-to-time converter (SRIVTC) scheme and a self-triggered time-to-MAC value converter (STTMC) scheme;3) a compact layout design for high area efficiency. Finally, an average accuracy of 95.44% is obtained under the TT&0.9V corner. By using the calibration strategy, the average accuracy of 97.8% and 88.6% are obtained under FF&0.945V and SS&0.855V separately, with over 30% enhancement. Furthermore, a 1.6421.18 times area FoM than state of the art is obtained. An energy efficiency of 87.2312.4 TOPS/W is obtained. © 2025 EDAA.

关键词： MRAM devices

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Ridge Gap Waveguide Fed Slot Array Antenna with Low Sidelobe Level

Ridge Gap Waveguide Fed Slot Array Antenna with Low Sidelobe...

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Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSRWTC)

作者： Shi-Kang Xie Nan Yang Kai Lu Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems School of Electronics and Information Technology (School of Microelectronics) Sun Yat-sen University Guangzhou China

ISBN: (数字)9798331507794

ISBN: (纸本)9798331507800

A low sidelobe slot array antenna based on ridge gap waveguide (RGW) is presented in this paper. Fed by two-layer RGW structure centrally, the slot array features symmetric field distribution. Offsetting the slots can fine tune the amplitude to obtain a quasi-Taylor distribution, thus resulting in a low sidelobe level. To verify the design idea, an 8-element slot array antenna was designed and simulated. Its simulated impedance bandwidth is found to be 8.9%, with a sidelobe level lower than -20 dB from 76 to 81 GHz.

关键词： Wireless communication Wireless sensor networks Slot antennas Gap waveguide Bandwidth Radar antennas Impedance Gain Tuning Antenna arrays

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Wideband Planar Glass Antenna with Stable Gain

Wideband Planar Glass Antenna with Stable Gain

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International Conference on Microwave and Millimeter Wave Technology Proceedings

作者： Jiaxing Zhang Peng Fei Hu Kwok Wa Leung Kai Lu Nan Yang Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems School of Electronics and Information Technology (School of Microelectronics) Sun Yat-sen University Guangzhou China

ISBN: (数字)9798350389968

ISBN: (纸本)9798350389975

A wideband planar glass antenna with a stable antenna gain is presented in this paper. It consists of a vertical planar glass and a differential feeding structure. The planar glass is used as a radiator, while the differential feeding structure leads to symmetric radiation patterns. The glass antenna operates in a traveling-wave mode. With a small size of 0.50 × 0.06 × 0.76 λ03, it achieves a wide 10-dB impedance bandwidth of 58.15% (1.61–2.93 GHz), alongside a stable antenna gain of 5.5 dBi (where λ0 represents the vacuum wavelength at the central operating frequency). To validate the design, a prototype operating for Long-Term Evolution (LTE) bands was fabricated and measured. The measured results revealed a 10-dB impedance bandwidth of 60.79% (1.50–2.81 GHz). This wideband glass antenna can be used for vehicle communication systems.

关键词： Microwave antennas Antenna measurements Wavelength measurement Prototypes Glass Antenna feeds Broadband antennas

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Content-Aware Deep Feature Matching 4th

Content-Aware Deep Feature Matching

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4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Wang, Weice Li, Zuoyong Zheng, Xiangpan Lai, Taotao Keikhosrokiani, Pantea College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou350002 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China College of Physics and Electronic Information Engineering Minjiang University Fuzhou350121 China School of Computer Sciences Universiti Sains Malaysia Penang Gelugor11800 Malaysia

ISBN: (纸本)9783031200984

Feature matching is a fundamental and critical step for many tasks of computer vision. In recent years, many methods for feature matching have been proposed. However, the image alignment algorithm used in the state-of-the-art matching method is not robust enough, and the number of the features extracted from the images are insufficient, thus the performance obtained by the state-of-the-art matching method is unsatisfactory. To address these issues, firstly, we use a more robust geometric estimation algorithm to align image pairs. Secondly, based on aligned image pairs, we design a content-aware block to more focus on effective features by using a feature extractor and a mask predictor. Experimental results show that our method achieves more superior results, and outperforms several classical and deep learning methods on the HPatches dataset. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Deep learning

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A Review of Aircraft Ground Taxi control Techniques

A Review of Aircraft Ground Taxi Control Techniques

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Li, Bingyu Liu, Xiaochao School of Automation Science and Electrical Engineering Beihang University Beijing100191 China National Key Laboratory of Aircraft Integrated Flight Control Beihang University Beijing100191 China Key Laboratory of Advanced Aircraft Systems Beihang University Ministry of Industry and Information Technology Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Tianmushan Laboratory Hangzhou310023 China

The extensive utilization of aircraft as a mode of transportation and the accelerated expansion of the aviation market have imposed heightened expectations on airport scheduling capabilities. To enhance the efficacy of aircraft ground operations and diminish the duration of runway occupation, the analysis of aircraft motion characteristics and the management of their ground taxiing trajectories assume greater significance. This paper provides an overview of aircraft ground taxiing control technology. This paper provides a brief overview of the key parameters and trajectory prediction methods involved in the aircraft landing process. The nonlinear analysis theory is employed to introduce the aircraft brake system stability and heading stability. Subsequently, the results of significant research on ground skidding control laws are presented. The fourth section presents a summary of the issues and technological developments in aircraft ground skid run control and outlines future research priorities in anti-skid brake control. © The Institution of Engineering & Technology 2024.

关键词： AIRCRAFT GROUND TAXI NONLINEAR control STABILITY ANALYSIS TRAJECTORY PREDICTION

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Decoupling Dipole Antennas with Dielectric Resonator

Decoupling Dipole Antennas with Dielectric Resonator

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Antennas and Propagation & USNC/URSI National Radio Science Meeting

作者： Zhichao Jin Kai Lu Nan Yang Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems School of Electronics and Information Technology (School of Microelectronics) Sun Yat-sen University Guangzhou China

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

A decoupling method using a dielectric resonator (DR) is investigated for 1 × 2 multiple-input and multiple-output (MIMO) dipole antenna. The decoupling DR is placed between two dipole antennas separated by a half wavelength. It serves as a parasitic element, creating a neutralization path between the two antenna ports. By adjusting the DR size, the isolation level can be improved obviously. A dual-port antenna system is simulated. An overlapping bandwidth ( $\vert \mathrm{S}_{11}\vert$ < −10 dB & $\vert \mathrm{S}_{21}\vert$ < −20 dB) of 9.2% (3.36-3.61 GHz) is obtained. This design method may find applications in base station antenna arrays.

关键词： Couplings Mutual coupling Base stations Dipole antennas Design methodology Conferences Scattering

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Fire Detection Based on Improved Feature Fusion 13

Fire Detection Based on Improved Feature Fusion

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13th International Conference on information Technology in Medicine and Education, ITME 2023

作者： Cao, Xinrong Wu, Jincai Li, Zuoyong College of Computer and Control Engineering Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou350121 China School of Electronic Electrical Engineering and Physics Fujian University of Technology Fuzhou350118 China Sichuang Technology Co. Ltd. Fuzhou350100 China

ISBN: (纸本)9798350319156

Fire is a serious disaster that endangers life and property worldwide. Accurate and prompt fire detection can provide early warning information for firefighting efforts. Deep learning-based object detection algorithms have proven to be useful in the field of fire detection. However, fire detection is a particularly challenging task, due to the low-resolution of fire images and the presence of blurring and deformation in the targets. Existing fire detection methods are limited by poor detection accuracy and slow speed in complex fire scenarios. To address these challenges, we propose a fire detection algorithm based on improved YOLOv5s. Firstly, the attention module is embedded into the network structure. We introduce this attention module into the last layer of the backbone to enhance feature extraction ability. Secondly, we modify the Neck structure to fully fuse different feature maps. Through fusing extra low-level features from the backbone, it utilizes various receptive fields to enhance the expression of feature. Thirdly, SIoU is introduced to achieve faster convergence during the training. SIoU take into account the direction of the mismatch to redefine penalty indicators. The experimental results show that our proposed algorithm outperforms commonly used models. Even compared to specific fire detectors, our model exhibits certain advantages. © 2023 IEEE.

关键词： Fires

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Lag Synchronization and Lag H∞ Synchronization for Multiweighted Coupled Reaction-Diffusion Neural Networks Suffering Topology Attacks

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IEEE Transactions on control of Network systems 2025年第2期12卷 1488-1499页

作者： Wang, Jin-Liang Zhao, Xin-Yu Ren, Shun-Yan Huang, Tingwen Tiangong University Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems School of Computer Science and Technology Tianjin300387 China Tiangong University School of Electronics & Information Engineering Tianjin300387 China University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu611731 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

This paper mainly discusses two kinds of coupled reaction-diffusion neural networks (CRNN) under topology attacks, that is, the cases with multistate couplings and with multiple spatial-diffusion couplings. On one hand, by adopting state feedback control scheme, the problem of the lag synchronization for the multistate coupled CRNN is addressed. Moreover, the influences of external disturbances for the lag synchronization of the CRNN with multistate couplings are also taken into consideration. On the other hand, several lag and lag H∞ synchronization conditions for CRNN with multiple spatial-diffusion couplings are derived under the help of the Kronecker product and the state feedback control method. Finally, two numerical examples are provided to verify the correctness of the derived criteria. © 2014 IEEE.

关键词： State feedback

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