Article
Energy & Fuels
Mingda Zhu, Xiaoxin Liu, Xiong Pan
Summary: With the rapid development of new energy technology, there is an increasing number of grid-connected systems and switching control frequency, making the operation state of the power grid more complicated. This paper proposes a real-time simulation design based on FPGA to monitor the operation of the power grid. The simulation module achieves an accuracy of about 3% relative error while maintaining real-time performance.
Article
Automation & Control Systems
Han Xu, Jialin Zheng, Yangbin Zeng, Weicheng Liu, Fuhai Zhao, Chunhui Qu, Zhengming Zhao
Summary: This article introduces a topology-aware matrix partitioning (TA-MP) method for accurate real-time simulation in high-frequency applications. The method uses an implicit numerical algorithm to ensure stability and employs iterative methods to solve implicit equations. By partitioning the PES matrix into blocks with topological meanings and constructing a constant iterative matrix using its constant diagonal blocks, the TA-MP method bypasses the limitations of using iterative methods in real-time simulations. The method eliminates the need to store inverse matrices and only requires matrix-vector multiplications, making it efficient on FPGA.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Mohamad Esmaeil Iranian, Meisam Mohseni, Saman Aghili, Ali Parizad, Hamid Reza Baghaee, Josep M. Guerrero
Summary: This article presents a high-performance hardware-in-the-loop (HIL) system designed to assist in developing and testing power electronics control boards. By using real-time models to simulate electrical and mechanical components, the effectiveness of the system for HIL testing is demonstrated.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Alexandro Ortiz, Efrain Mendez, David Balderas, Pedro Ponce, Israel Macias, Arturo Molina
Summary: This study describes the implementation of metaheuristic optimization algorithms in hardware and compares five important algorithms. The results demonstrate the feasibility of NI FPGA hardware and reveal differences in device utilization and execution time among the algorithms.
APPLIED SOFT COMPUTING
(2021)
Article
Geochemistry & Geophysics
Daniel Bascones, Carlos Gonzalez, Daniel Mozos
Summary: This article presents a real-time implementation of a hyperspectral image compression algorithm based on FPGA, which is able to process large images at a fast speed. The algorithm avoids new dependencies by using a new sample ordering method and encoder.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Guoqing Zhou, Haotian Zhang, Chao Xu, Xiang Zhou, Zhexian Liu, Dawei Zhao, Jinchun Lin, Gongbei Wu
Summary: This article presents a real-time data acquisition system (RTDAQS) based on ADC+FPGA+ZYNQ architecture, which utilizes high-speed serializer-deserializer (SerDes) data transfer technology. The system has the characteristics of high sampling rates, high resolution, and high accuracy, making it suitable for bathymetric LiDAR measurements. Experimental results show that the system can achieve a sampling rate of 2 GS/s, a sampling resolution of 14 bits, and a sampling accuracy of 6 LSB, meeting the demands of high sampling rate, high accuracy data acquisition, and quick data transmission in practice, and can be applied to various devices.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Computer Science, Hardware & Architecture
Kai Zhang
Summary: This study investigated the impact of Animation visualization methods in FPGA pre-service kindergarten Embedded System on teaching Animation, and found that the use of Animation visualization methods can significantly increase participants' self-efficacy in teaching Animation.
MICROPROCESSORS AND MICROSYSTEMS
(2021)
Article
Energy & Fuels
Zhao Jin, Yanjie Wu, Shuyuan Wang, Bingda Zhang
Summary: In this study, a unified equivalent model was designed for modular multilevel converters (MMCs) to address the problems of high switch numbers, complex working mechanisms, and complicated real-time simulation. The proposed model decouples the submodules that do not affect each other, reducing the number of prestored parameters and optimizing the execution unit structure. The real-time simulation results verified the effectiveness of the model and hardware improvement, and the accuracy of the simulation was validated by comparing with the offline MATLAB/Simulink results.
Article
Computer Science, Information Systems
Chongyao Xu, Litao Zhang, Man-Kay Law, Xiaojin Zhao, Pui-In Mak, Rui P. Martins
Summary: This article presents an obfuscated-interconnection physical unclonable function (OIPUF) to resist modeling attacks, and proposes a metastability-detection (MD) arbiter to improve the reliability. The experimental results demonstrate the effectiveness of the proposed method in enhancing security and reliability while achieving high prediction accuracy using machine learning algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Yue Cao, Shuai Jiang, Shuchen Guo, Weicheng Ling, Xuan Zhou, Zhongjun Yu
Summary: This paper introduces a SAR real-time imaging technology based on FPGA dynamic-reconfiguration technology, optimizing algorithms and dividing the processing system into dynamic and static parts. The system is successfully designed and its performance is verified using flight data based on an unmanned aerial vehicle.
Article
Computer Science, Hardware & Architecture
Teng Wang, Lei Gong, Chao Wang, Yang Yang, Yingxue Gao, Xuehai Zhou, Huaping Chen
Summary: Since Google proposed Transformer in 2017, it has made significant developments in natural language processing (NLP) and also impacted computer vision. This study introduces a novel vision transformer accelerator architecture, ViA, based on FPGA, to efficiently execute Transformer applications and address cost challenges.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Hao Wu
Summary: This study focuses on classifying Indian classical dance using FPGA, with data collection on various themes and postures for offline reference in dance education.
MICROPROCESSORS AND MICROSYSTEMS
(2021)
Article
Environmental Sciences
Chao Li, Rui Xu, Yong Lv, Yonghui Zhao, Weipeng Jing
Summary: We propose an improved YOLO model, the RFA-YOLO, based on an attention mechanism and receptive field to address the challenge of deploying deep learning networks on edge devices with limited resources. Our solution includes using MobileNeXt network as the backbone, adopting RFB and ECA modules to improve detection accuracy, and implementing FPGA-based model deployment. Experimental results demonstrate the effectiveness and superiority of our RFA-YOLO model for object detection algorithms, and the power efficiency of our DPU-based hardware implementation.
Article
Engineering, Electrical & Electronic
Ming Xu, Liang Chen, Hao Shi, Zhu Yang, Jiahao Li, Teng Long
Summary: This article proposes an FPGA-based implementation of ship detection for on-board processing, which achieves high efficiency and reduces resource consumption through clustering and data-buffering cycle optimization.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Kuan-Ping Hsieh, Yi-Ting Lin, Yun-Chih Lu, Yi-Jan Emery Chen
Summary: This paper presents a reconfigurable RF frequency synthesizer implemented with FPGA and DCO. By utilizing FRC to measure the DCO output frequency and achieve frequency locking, the synthesizer covers a wide frequency output range and achieves fast settling time.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
