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学者姓名：蔡逢煌
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Abstract ：
To address the challenges of significant changes in the field of view and complex spatiotemporal information in unmanned aerial vehicle aerial image target detection, a model for small object detection in aerial photography based on low dimensional image feature fusion is presented grounded on the YOLOv5(you only look once version 5) architecture. Coordinate attention is introduced to improve the inverted residuals of MobileNetV3, thereby increasing the spatial dimension information of images while reducing parameters of the model. The YOLOv5 feature pyramid network structure is improved to incorporate feature images from shallow networks. The ability of the model to represent low-dimensional effective information of images is enhanced, and consequently the detection accuracy of the proposed model for small objects is improved. To reduce the impact of complex background in the image, the parameter-free average attention module is introduced to focus on both spatial attention and channel attention. VariFocal Loss is adopted to reduce the weight proportion of negative samples in the training process. Experiments on VisDrone dataset demonstrate the effectiveness of the proposed model. The detection accuracy is effectively improved while the model complexity is significantly reduced. © 2024 Science Press. All rights reserved.
Keyword ：
Aerial photography Aerial photography Antennas Antennas Complex networks Complex networks Image enhancement Image enhancement Object detection Object detection Object recognition Object recognition
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| GB/T 7714 | Cai, Fenghuang , Zhang, Jiaxiang , Huang, Jie . Model for Small Object Detection in Aerial Photography Based on Low Dimensional Image Feature Fusion [J]. | Pattern Recognition and Artificial Intelligence , 2024 , 37 (2) : 162-171 . |
| MLA | Cai, Fenghuang 等. "Model for Small Object Detection in Aerial Photography Based on Low Dimensional Image Feature Fusion" . | Pattern Recognition and Artificial Intelligence 37 . 2 (2024) : 162-171 . |
| APA | Cai, Fenghuang , Zhang, Jiaxiang , Huang, Jie . Model for Small Object Detection in Aerial Photography Based on Low Dimensional Image Feature Fusion . | Pattern Recognition and Artificial Intelligence , 2024 , 37 (2) , 162-171 . |
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该文以双有源桥DC-DC变换器为对象，详细分析了变换器在三重移相调制下的两种数学模型，又基于这两种数学模型提出了对应的电感电流优化控制策略，搭建了包含MATLAB/Simulink仿真平台、StarSim半实物仿真平台和实物平台的三阶段实验平台，在平台中通过实验验证了优化控制策略的可行性和有效性。所设计的三阶段开发流程能够加深学生对电力电子领域相关知识的理解，逐步提升学生的理论分析能力、仿真验证能力和实践操作能力。
Keyword ：
仿真 仿真 优化控制策略 优化控制策略 半实物仿真 半实物仿真 双有源桥变换器 双有源桥变换器 实验平台设计 实验平台设计
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| GB/T 7714 | 蔡逢煌 , 龚兴阳 , 柴琴琴 et al. 基于“仿真—半实物仿真—实物”三阶段开发流程的DAB变换器实验探索与研究 [J]. | 实验技术与管理 , 2024 , 41 (05) : 46-53 . |
| MLA | 蔡逢煌 et al. "基于“仿真—半实物仿真—实物”三阶段开发流程的DAB变换器实验探索与研究" . | 实验技术与管理 41 . 05 (2024) : 46-53 . |
| APA | 蔡逢煌 , 龚兴阳 , 柴琴琴 , 王武 . 基于“仿真—半实物仿真—实物”三阶段开发流程的DAB变换器实验探索与研究 . | 实验技术与管理 , 2024 , 41 (05) , 46-53 . |
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针对无人机航拍图像目标检测中视野变化大、时空信息复杂等问题，文中基于YOLOv5(You Only Look Once Version5)架构，提出基于图像低维特征融合的航拍小目标检测模型.引入CA(Coordinate Attention),改进MobileNetV3的反转残差块，增加图像空间维度信息的同时降低模型参数量.改进YOLOv5特征金字塔网络结构，融合浅层网络中的特征图，增加模型对图像低维有效信息的表达能力，进而提升小目标检测精度.同时为了降低航拍图像中复杂背景带来的干扰，引入无参平均注意力模块，同时关注图像的空间注意力与通道注意力；引入VariFocal Loss,降低负样本在训练过程中的权重占比.在VisDrone数据集上的实验验证文中模型的有效性，该模型在有效提升检测精度的同时明显降低复杂度.
Keyword ：
You Only Look Once Version5(YOLOv5) You Only Look Once Version5(YOLOv5) 小目标检测 小目标检测 损失函数 损失函数 注意力机制 注意力机制
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| GB/T 7714 | 蔡逢煌 , 张家翔 , 黄捷 . 基于图像低维特征融合的航拍小目标检测模型 [J]. | 模式识别与人工智能 , 2024 , 37 (02) : 162-171 . |
| MLA | 蔡逢煌 et al. "基于图像低维特征融合的航拍小目标检测模型" . | 模式识别与人工智能 37 . 02 (2024) : 162-171 . |
| APA | 蔡逢煌 , 张家翔 , 黄捷 . 基于图像低维特征融合的航拍小目标检测模型 . | 模式识别与人工智能 , 2024 , 37 (02) , 162-171 . |
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为了使得输入串联输出并联(ISOP)型双有源桥DC-DC(DAB)变换器稳定高效地运行，提出一种基于三重移相(TPS)调制的电压均衡控制方案。该方案不仅可以控制输出电压稳定、输入电压均分，而且能够降低变换器电流应力并具有良好动态性能。首先，分析了DAB变换器在TPS下各模态的电流应力与传输功率模型，并通过KKT条件法求得电流应力最优的移相比组合。在此基础上，通过控制中间变量-动态功率，实现系统的输出稳压、输入均压，同时具有良好动态性能。最后，通过MATLAB/SIMULINK软件平台验证所提方案的正确性。
Keyword ：
三重移相 三重移相 双有源桥DC-DC变换器 双有源桥DC-DC变换器 电压均衡 电压均衡 电流应力优化 电流应力优化
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| GB/T 7714 | 林俊腾 , 蔡逢煌 . 基于三重移相的ISOP型DAB变换器电压均衡控制 [J]. | 电气开关 , 2024 , 62 (02) : 54-58 . |
| MLA | 林俊腾 et al. "基于三重移相的ISOP型DAB变换器电压均衡控制" . | 电气开关 62 . 02 (2024) : 54-58 . |
| APA | 林俊腾 , 蔡逢煌 . 基于三重移相的ISOP型DAB变换器电压均衡控制 . | 电气开关 , 2024 , 62 (02) , 54-58 . |
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Potential malicious attacks have been a significant security concern for network system applications. However, there are few studies on filtering for hybrid network attacks in switching systems. This paper considers a Kalman filtering problem for the switched systems that suffer from deception attacks and denial-of-service attacks. A new network transmission model for switching systems is established. Then, based on the minimum mean square error criterion, a Kalman filter with low conservatism is designed for the discrete-time switched system. The newly switched Kalman gain matrix is deduced including the random variation of the switching signal after being attacked by the network. Finally, the effectiveness of the proposed filter is verified by the numerical simulation. A switching system is considered to be a typical hybrid system. As it often works in a network environment, the switching signal is vulnerable to the network and thus to various cyber-attacks (e.g. spoofing attacks and denial-of-service attacks). Few studies have been conducted on the impact of switching signals in network transmission. To address this problem, this paper proposes a Kalman filter design method with low conservativeness, which describes network attacks and data loss by building a Kalman filter model associated with the switching signal in terms of satisfying Bernoulli random variables. For practitioners, the ability to recover data to a certain extent when the data transmission is affected by different network attacks will save a lot of costs and is important for improving the stability and performance of switching systems. Our future work will aim to improve the performance of different filtering algorithms under different cyber-attacks.
Keyword ：
deception attack deception attack denial-of-service attack denial-of-service attack Hybrid cyber-attack Hybrid cyber-attack Kalman filter Kalman filter switched system switched system
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| GB/T 7714 | Cai, Fenghuang , Liao, Shuying , Chen, Yucheng et al. Kalman Filter of Switching System Under Hybrid Cyber Attack [J]. | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING , 2023 . |
| MLA | Cai, Fenghuang et al. "Kalman Filter of Switching System Under Hybrid Cyber Attack" . | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2023) . |
| APA | Cai, Fenghuang , Liao, Shuying , Chen, Yucheng , Wang, Wu . Kalman Filter of Switching System Under Hybrid Cyber Attack . | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING , 2023 . |
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To reduce the current stress in the whole operating area and improve the dynamic performance switching between different operating points of the dual-active-bridge (DAB) converter, a bidirectional power control (BPC-GCSO) scheme based on the global current stress optimization is proposed in this paper. The global current stress optimal solution (GCSO) set is first derived for the DAB converter, which enables the DAB converter to realize the minimum current stress at any operating point. Then, a virtual direct power control method is introduced based on the GCSO scheme and a bidirectional power control (BPC) strategy is designed. To validate the proposed scheme, a simulation experimental environment is built on the MATLAB/Simulink platform, and the simulation results prove the feasibility of the proposed method. © 2023 IEEE.
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| GB/T 7714 | Gong, Xingyang , Fu, Xiaofeng , Cai, Fenghuang et al. A Bidirectional Power Control Scheme Based on Global Current Stress Optimization for Dual Active Bridge DC-DC Converters [C] . 2023 : 865-870 . |
| MLA | Gong, Xingyang et al. "A Bidirectional Power Control Scheme Based on Global Current Stress Optimization for Dual Active Bridge DC-DC Converters" . (2023) : 865-870 . |
| APA | Gong, Xingyang , Fu, Xiaofeng , Cai, Fenghuang , Huang, Ruochen . A Bidirectional Power Control Scheme Based on Global Current Stress Optimization for Dual Active Bridge DC-DC Converters . (2023) : 865-870 . |
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To improve the efficiency of the dual active bridge (DAB) converter working in the low- and medium-power ranges, this article proposes a new triple-phase shift (TPS) modulation scheme based on frequency-domain fundamental harmonic analysis (FDFHA) with lower root mean square (rms) current and wider zero-voltage switching (ZVS) range. The DAB converter's Fourier decomposition expression under TPS is generated, and the FDFHA expression is created using fundamental harmonic analysis (FHA). With the rms current as the optimization target, the operating point with the smallest rms current is found by solving for it using the extended global optimum condition (EGOC) that applies to the FDFHA expression. Based on this, a control strategy with a simple controller structure is established, which has excellent dynamic performance. In addition, when comparing the proposed scheme to other optimized schemes, the results show that the proposed scheme can drastically lower the rms current in the low- and medium-power ranges and achieve a wider ZVS range, notably in the low-power range to enable all switches to achieve ZVS. Finally, an experimental prototype with a peak efficiency of 95.95% was built to verify the effectiveness of the proposed scheme.
Keyword ：
Dual active bridge (DAB) Dual active bridge (DAB) fundamental harmonic analysis (FHA) fundamental harmonic analysis (FHA) root mean square (rms) current root mean square (rms) current zero-voltage switching (ZVS) zero-voltage switching (ZVS)
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| GB/T 7714 | Xie, Hongbiao , Cai, Fenghuang , Jiang, Jiahui et al. A Fundamental Harmonic Analysis-Based Optimized Scheme for DAB Converters With Lower RMS Current and Wider ZVS Range [J]. | IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION , 2023 , 9 (3) : 4045-4058 . |
| MLA | Xie, Hongbiao et al. "A Fundamental Harmonic Analysis-Based Optimized Scheme for DAB Converters With Lower RMS Current and Wider ZVS Range" . | IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION 9 . 3 (2023) : 4045-4058 . |
| APA | Xie, Hongbiao , Cai, Fenghuang , Jiang, Jiahui , Li, Dongfang . A Fundamental Harmonic Analysis-Based Optimized Scheme for DAB Converters With Lower RMS Current and Wider ZVS Range . | IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION , 2023 , 9 (3) , 4045-4058 . |
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When the parameters of each module in the input series output parallel（ISOP）dual active bridge DC-DC（DAB）converter system are different，the system has over-voltage and over-current caused by unbalanced transmission power，which may damage the device in serious cases. In addition，current stress and the dynamic performance of converters should also be considered during operation. To address these issues，this paper proposes a voltage balance control scheme combined with current stress optimization based on dual phase shift. The current stress and transmission power model of the converter under dual phase shift is analyzed. And then the phase shift ratio for current stress optimization is obtained by the KKT condition method. On the basis of current stress optimization，a voltage balance control method is proposed. The outer phase shift ratio expression is deduced through the transmission power model，and the voltage balance component and dynamic transmission power are introduced to achieve input voltage balance and output voltage stability and improve dynamic performance. Finally，a dual- module ISOP- DAB experimental platform is built，and comparative experiments are carried out to verify The effectiveness of the control method in this paper is verified by the comparative experiments. © 2023 Science Press. All rights reserved.
Keyword ：
current stress optimization current stress optimization dual active bridge DC-DC converters dual active bridge DC-DC converters dual phase shift dual phase shift microgrids microgrids voltage balance voltage balance
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| GB/T 7714 | Cai, F. , Lin, J. , Jiang, J. et al. VOLTAGE BALANCE CONTROL OF ISOP-DAB CONVERTERS WITH CURRENT STRESS OPTIMIZATION; [结合电流应力优化的 ISOP-DAB 变换器电压均衡控制] [J]. | Acta Energiae Solaris Sinica , 2023 , 44 (10) : 90-96 . |
| MLA | Cai, F. et al. "VOLTAGE BALANCE CONTROL OF ISOP-DAB CONVERTERS WITH CURRENT STRESS OPTIMIZATION; [结合电流应力优化的 ISOP-DAB 变换器电压均衡控制]" . | Acta Energiae Solaris Sinica 44 . 10 (2023) : 90-96 . |
| APA | Cai, F. , Lin, J. , Jiang, J. , Wang, W. , Lin, Q. . VOLTAGE BALANCE CONTROL OF ISOP-DAB CONVERTERS WITH CURRENT STRESS OPTIMIZATION; [结合电流应力优化的 ISOP-DAB 变换器电压均衡控制] . | Acta Energiae Solaris Sinica , 2023 , 44 (10) , 90-96 . |
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The accuracy of defect detection is increased by the improved Faster R-CNN detection algorithm, which addresses the issue of an extended target scale span and complex characteristics causing missed detection in steel surface defect detection. The algorithm introduces path aggregation network (PANet), which uses bottom-up path aggregation to combine shallow details and deep semantic information to better capture features on various dimensions. It also adapts the reconstruction of the anchor box size information to filter out the optimal proposal box for more accurate localization. The backbone network of the original Faster R-CNN is replaced with an improved ResNet50, which has more powerful feature extraction skill and makes the model more flexible. On the NEU-DET dataset, the improved algorithm's detection performance is contrasted with that of other detection algorithms. According to the results of the investigation, the Faster R-CNN with additions has an average detection rate of 63.7 frames per second (FPS) and a mean average precision (mAP) of 80.2%, which is 8.7 percentage points higher than that of the Faster R-CNN. The conclusion is that the boosted Faster R-CNN can enhance both the precision and localization information of multi-scale faulty targets. © 2023 IEEE.
Keyword ：
Agglomeration Agglomeration K-means clustering K-means clustering Semantics Semantics Signal detection Signal detection Surface defects Surface defects
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| GB/T 7714 | Shen, Mingjie , Cai, Fenghuang , Xie, Jiaqi . A Multi-Scale Defect Detection for Steel Surface Based on Improved Faster R-CNN [C] . 2023 : 7448-7453 . |
| MLA | Shen, Mingjie et al. "A Multi-Scale Defect Detection for Steel Surface Based on Improved Faster R-CNN" . (2023) : 7448-7453 . |
| APA | Shen, Mingjie , Cai, Fenghuang , Xie, Jiaqi . A Multi-Scale Defect Detection for Steel Surface Based on Improved Faster R-CNN . (2023) : 7448-7453 . |
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A trajectory planning method based on Gaussian regression for Model Predictive Control is proposed to address the safety obstacle avoidance problem of tracked vehicle on unstructured roads. The proposed method takes into account the parameter uncertainty caused by different road conditions and slopes, with the goal of ensuring safe obstacle avoidance. In order to achieve safe obstacle avoidance in imprecise model situations, Gaussian regression process is used to learn the average model error caused by time-varying parameters, and variance is introduced in the design of control barrier function. The characteristic of this method is to increase constraints on the control barrier area to ensure safety. Simulation shows that the designed algorithm can achieve safe obstacle avoidance while reaching the target point. © 2023 IEEE.
Keyword ：
Gaussian distribution Gaussian distribution Model predictive control Model predictive control Predictive control systems Predictive control systems Regression analysis Regression analysis Tracked vehicles Tracked vehicles Trajectories Trajectories
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| GB/T 7714 | Zhang, Ke , Cai, Fenghuang , Huang, Jie . Learning Based Trajectory Planning and Safe Obstacle Avoidance for Tracked Vehicle under Imprecise Model [C] . 2023 : 8748-8753 . |
| MLA | Zhang, Ke et al. "Learning Based Trajectory Planning and Safe Obstacle Avoidance for Tracked Vehicle under Imprecise Model" . (2023) : 8748-8753 . |
| APA | Zhang, Ke , Cai, Fenghuang , Huang, Jie . Learning Based Trajectory Planning and Safe Obstacle Avoidance for Tracked Vehicle under Imprecise Model . (2023) : 8748-8753 . |
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