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9th International Conference on Intelligent Computing and Signal Processing, ICSP 2024

作者： Han, Jiaxin Wei, Shaofeng Jia, Pengtao Xi'an Shiyou University School of Computer Science Shaanxi Xi'an China Xi'an University of Science and Technology College of Computer Science and Technology Shaanxi Xi'an China

ISBN: (纸本)9798350376548

When encountering data with high dimensionality and high redundancy between features, we can select the most representative features by feature selection. In this paper, a maximum difference feature selection algorithm based on MRMR algorithm is proposed to select features for high dimensional data. On the basis of MRMR algorithm, we introduce Wasserstein distance to calculate the degree of difference between the features, so that the selected feature subset has the characteristics of maximum relevance, minimum redundancy, and maximum difference, and comparison experiments are carried out with classical feature selection algorithms such as MRMR. The experimental results show that in the vast majority of cases, the maximum difference feature selection algorithm in this paper is able to reduce the redundancy between features and improve the classification accuracy as the number of selected features increases. © 2024 IEEE.

关键词： Feature Selection

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A Novel CAPTCHA Recognition System Based on Refined Visual Attention

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computers, Materials & Continua 2025年第4期83卷 115-136页

作者： Zaid Derea Beiji Zou xiaoyan Kui Monir Abdullah Alaa Thobhani Amr Abdussalam School of Computer Science and Engineering Central South UniversityChangsha410083China College of Computer Science and Information Technology Wasit UniversityWasit52001Iraq Department of Computer Science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha67714Saudi Arabia Electronic Engineering and Information Science Department University of Science and Technology of ChinaHefei230026China

Improving website security to prevent malicious online activities is crucial,and CAPTCHA(Completely Automated Public Turing test to tell computers and Humans Apart)has emerged as a key strategy for distinguishing human users from automated ***-based CAPTCHAs,designed to be easily decipherable by humans yet challenging for machines,are a common form of this ***,advancements in deep learning have facilitated the creation of models adept at recognizing these text-based CAPTCHAs with surprising *** our comprehensive investigation into CAPTCHA recognition,we have tailored the renowned UpDown image captioning model specifically for this *** approach innovatively combines an encoder to extract both global and local features,significantly boosting the model’s capability to identify complex details within CAPTCHA *** the decoding phase,we have adopted a refined attention mechanism,integrating enhanced visual attention with dual layers of Long Short-Term Memory(LSTM)networks to elevate CAPTCHA recognition *** rigorous testing across four varied datasets,including those from Weibo,BoC,Gregwar,and Captcha 0.3,demonstrates the versatility and effectiveness of our *** results not only highlight the efficiency of our approach but also offer profound insights into its applicability across different CAPTCHA types,contributing to a deeper understanding of CAPTCHA recognition technology.

关键词： Text-based CAPTCHA recognition refined visual attention web security computer vision

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Explainable Business Process Remaining Time Prediction Using Reachability Graph

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Chinese Journal of Electronics 2023年第3期32卷 625-639页

作者： CAO Rui ZENG Qingtian NI Weijian LU Faming LIU Cong DUAN Hua College of Computer Science and Engineering Shandong University of Science and Technology School of Computer Science and Technology Shandong University of Technology

With the recent advances in the field of deep learning, an increasing number of deep neural networks have been applied to business process prediction tasks, remaining time prediction, to obtain more accurate predictive results. However, existing time prediction methods based on deep learning have poor interpretability, an explainable business process remaining time prediction method is proposed using reachability graph,which consists of prediction model construction and visualization. For prediction models, a Petri net is mined and the reachability graph is constructed to obtain the transition occurrence vector. Then, prefixes and corresponding suffixes are generated to cluster into different transition partitions according to transition occurrence vector. Next,the bidirectional recurrent neural network with attention is applied to each transition partition to encode the prefixes, and the deep transfer learning between different transition partitions is performed. For the visualization of prediction models, the evaluation values are added to the sub-processes of a Petri net to realize the visualization of the prediction models. Finally, the proposed method is validated by publicly available event logs.

关键词： Deep learning Training Visualization Recurrent neural networks Petri nets Transfer learning Process control

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Broadband and High-Efficiency Reflective Linear Polarizer

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Progress In Electromagnetics Research C 2023年 133卷 261-269页

作者： Huang, xiaojun Ma, xiongwei Cui, Sihan Gao, Huanhuan College of Communication and Information Engineering Xi’an University of Science and Technology Xi’an710054 China

In this paper, we propose a wideband linear polarizer that utilizes metamaterial and metasurface techniques to achieve highly efficient polarization conversion. The proposed polarizer achieves a polarization conversion ratio exceeding 90% at 12.0–16.0 GHz, as confirmed by both simulated and experimental results. The effects of geometric parameters, incidence angle, and polarization angle on the performance of the polarizer are analyzed, and it is demonstrated that the polarizer maintains an extremely high polarization conversion efficiency even under wide-angle incidence. The polarization conversion mechanism is elucidated through the examination of eigenmode and surface current distribution. This work holds significant promise for the control of electromagnetic waves, making it essential for upcoming engineering applications. © 2023, Electromagnetics Academy. All rights reserved.

关键词： Conversion efficiency

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Relay-projection microscopic telescopy

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Light(science & Applications) 2025年第4期14卷 1143-1155页

作者： Wenjun Yi Shuyue Zhu Meicheng Fu Nan Gu JunliQi Siyu Liu Mengjun Zhu Ping Wang xin Chen Yi Zhang Hongyu Zhang Yao Xu Junyi Du Peng xiong Zhaohua Dong Luobing Dong Qiong Liu xiujian Li College of Science National University of Defense TechnologyChangshaChina Xi’an Satellite Control Center Xi’anChina School of Information and Electronics Engineering Hunan City UniversityYiyangChina College of Electronic Science National University of Defense TechnologyChangshaChina The School of Computer Science and Technology Xidian UniversityXi’anChina Senior Department of Otolaryngology Head and Neck Surgery the 6th Medical Center of Chinese PLA General HospitalChinese PLA Medical SchoolBeijingChina

The fundamental trade-off between spatial resolution and imaging distance poses a significant challenge for current imaging techniques,such as those used in modern biomedical diagnosis and remote ***,we introduce a new conceptual method for imaging dynamic amplitude-phase-mixed objects,termed relay-projection microscopic telescopy(rPMT),which fundamentally challenges conventional light collection techniques by employing non-line-ofsight light collection through square-law relay-projection *** successfully resolved tiny features measuring 2.76μm,22.10μm,and 35.08μm for objects positioned at distances of 1019.0 mm,26.4 m,and 96.0 m,respectively,from single-shot spatial power spectrum images captured on the relay screen;these results demonstrate that the resolution capabilities of rPMT significantly surpass the Abbe diffraction limit of the 25 mm-aperture camera lens at the respective distances,achieving resolution improvement factors of 7.9,25.4,and *** rPMT exhibits long-distance,wide-range,high-resolution imaging capabilities that exceed the diffraction limit of the camera lens and the focusing range limit,even when the objects are obscured by a scattering *** rPMT enables telescopic imaging from centimeters to beyond hundreds of meters with micrometer-scale resolution using simple devices,including a laser diode,a portable camera,and a diffusely reflecting *** contemporary high-resolution imaging techniques,our method does not require labeling reagents,wavefront modulation,synthetic receive aperture,or ptychography scanning,which significantly reduce the complexity of the imaging system and enhance the application *** method holds particular promise for in-vivo label-free dynamic biomedical microscopic imaging diagnosis and remote surveillance of small objects.

关键词： light collection techniques Imaging Distance Non Line Sight Relay Projection Microscopic Telescopy remote sensingherewe imaging techniquessuch biomedical diagnosis Spatial Resolution

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Event-based nonsingular fixed-time containment control for nonlinear multiagent systems with dynamic uncertainties

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science China(Information sciences) 2025年第5期68卷 413-414页

作者： Yuanbo SU Qihe SHAN Tieshan LI C.L.Philip CHEN Navigation College Dalian Maritime University School of Automation Engineering University of Electronic Science and Technology of China School of Computer Science and Engineering South China University of Technology

Owing to the extensive applications in many areas such as networked systems,formation flying of unmanned air vehicles,and coordinated manipulation of multiple robots,the distributed containment control for nonlinear multiagent systems (MASs) has received considerable attention,for example [1,2].Although the valued studies in [1,2] investigate containment control problems for MASs subject to nonlinearities,the proposed distributed nonlinear protocols only achieve the asymptotic *** a crucial performance indicator for distributed containment control of MASs,the fast convergence is conducive to achieving better control accuracy [3].The work in [4] first addresses the backstepping-based adaptive fuzzy fixed-time containment tracking problem for nonlinear high-order MASs with unknown external ***,the designed fixedtime control protocol [4] cannot escape the singularity problem in the backstepping-based adaptive control *** is well known,the singularity problem has become an inherent problem in the adaptive fixed-time control design,which may cause the unbounded control inputs and even the instability of controlled ***,how to solve the nonsingular fixed-time containment control problem for nonlinear MASs is still open and awaits breakthrough to the best of our knowledge.

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Hardware-friendly Cycle-GAN and reconfigurable design

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The Journal of China Universities of Posts and Telecommunications 2023年第4期30卷 10-20页

作者： xie xiaoyan Chai Miaomiao Deng Junyong Du Zhuolin Yang Kun Yin Shaorun School of Computer Science and Technology Xi'an University of Posts and TelecommunicationsXi'an 710121China School of Electronic Engineering Xi'an University of Posts and TelecommunicationsXi'an 710121China College of Safety Science and Engineering Xi'an University of Science and TechnologyXi'an 710054China

As a kind of generative adversarial network(GAN),Cycle-GAN shows an apparent superiority in image style *** more complicated architectures with large number of parameters and huge computational complexities,cause a big challenge in deployment on resource-constrained *** make full use of the parallelism of hardware under guaranteed image quality,this paper improves the generator network to a hardware-friendly Inception *** optimized framework is named simplified Cycle-GAN(S-CycleGAN),with greatly reduced parameters of convolution,while avoiding the degradation of image quality from structural *** with the apple2organge and horse2zebra datasets,the experiment results show that the images generated by S-CycleGAN outperform the baseline and other *** number of parameters reduces by 19.54%,memory usage cuts down by 9.11%,theoretical amount of multiply-adds(Madds)decreases by 17.96%,and floating-point operations per second(FLOPS)diminishes by 18.91%.Finally,the S-CycleGAN was mapped on the dynamic programmable reconfigurable array processor(DPRAP),which calculate the convolution and deconvolution in a unified architecture,and support flexible runtime *** prototype systems are implemented on xilinx field programmable gate array(FPGA)XC6 VLX550 *** synthesized results show that,with 150 MHz,the hardware resource consumption is reduced by 52%compared to the recent FPGA scheme.

关键词： Cycle-GAN generator Inception hardware-friendly reconfiguration

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Bifurcation analysis and control study of improved full-speed differential model in connected vehicle environment

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Chinese Physics B 2024年第7期33卷 245-266页

作者：艾文欢雷正清李丹洋方栋梁刘大为 College of Computer Science and Engineering Northwest Normal UniversityLanzhou 730070China College of Electrical Engineering Lanzhou Institute of TechnologyLanzhou 730050China

In recent years, the traffic congestion problem has become more and more serious, and the research on traffic system control has become a new hot spot. Studying the bifurcation characteristics of traffic flow systems and designing control schemes for unstable pivots can alleviate the traffic congestion problem from a new perspective. In this work, the full-speed differential model considering the vehicle network environment is improved in order to adjust the traffic flow from the perspective of bifurcation control, the existence conditions of Hopf bifurcation and saddle-node bifurcation in the model are proved theoretically, and the stability mutation point for the stability of the transportation system is found. For the unstable bifurcation point, a nonlinear system feedback controller is designed by using Chebyshev polynomial approximation and stochastic feedback control method. The advancement, postponement, and elimination of Hopf bifurcation are achieved without changing the system equilibrium point, and the mutation behavior of the transportation system is controlled so as to alleviate the traffic congestion. The changes in the stability of complex traffic systems are explained through the bifurcation analysis, which can better capture the characteristics of the traffic flow. By adjusting the control parameters in the feedback controllers, the influence of the boundary conditions on the stability of the traffic system is adequately described, and the effects of the unstable focuses and saddle points on the system are suppressed to slow down the traffic flow. In addition, the unstable bifurcation points can be eliminated and the Hopf bifurcation can be controlled to advance, delay, and disappear,so as to realize the control of the stability behavior of the traffic system, which can help to alleviate the traffic congestion and describe the actual traffic phenomena as well.

关键词： bifurcation analysis vehicle queuing bifurcation control Hopf bifurcation

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Deep learning-based method for recognizing violation behaviors of underground personnel 24

Deep learning-based method for recognizing violation behavio...

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7th International Conference on Signal Processing and Machine Learning, SPML 2024

作者： Ma, Tian Zhu, Wenna Shi, Weilu Li, Jiahui Li, Yuancheng College of Computer Science and Technology Xi'an University of Science and Technology China

ISBN: (纸本)9798400717192

Aiming at the complex coal mine environment resulting in impaired image quality and the difficulty of a fixed number of convolutional kernels to capture diverse motion features, coupled with fast-moving personnel deteriorating behavioural coherence, a deep-learning-based method for recognition of violation behaviours of underground personnel is proposed, and a Depth Sensing Wild Attention Convolution Module (DRFA), a Multi-dimensional Feature Extraction Module (MFE), and a Displacement-Aware Module (DAM) are designed, and the method is implemented on the self-constructed Experiments are conducted on the downhole track area violation dataset, and its TOP-1 accuracy reaches 95.10%, which proves that the method can effectively improve the recognition accuracy. © 2024 ACM.

关键词： Coal mines

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Causal Label Enhancement

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IEEE Transactions on Knowledge and Data engineering 2024年第7期37卷 3933-3946页

作者： Liu, xinyuan Zhu, Jihua Yue, Kun Zheng, Qinghai Li, Zhongyu Tian, Zhiqiang Zhu, Mingchen Xi'an Jiaotong University School of Software Engineering Xi'an China Yunnan University School of Information Science and Engineering Kunming China Fuzhou University College of Computer and Data Science Fuzhou China

Label enhancement (LE) is still a challenging task to mitigate the dilemma of the lack of label distribution. Existing LE work typically focuses on primarily formulating a projection between feature space and label distribution space from discriminative model perspective, which preserves the relevance consistency that the sign of recovered label distribution should be consistent with the logical label. Different from previous algorithms, we formulate this problem from a causal perspective and present a novel LE method via the structured causal model (LESCM). Specifically, the proposed LESCM deliberates establishing the causal graph with assuming that label distribution is a cause of feature and logical label, which naturally satisfies the definition of label distribution learning (LDL). With capturing the underlying causal relationships, we can significantly boost the interpretability and identifiability of label enhancement. Meanwhile, except for the relevance consistency, LESCM are encouraged to sustain the order consistency that assigns higher description degree of the recovered label distribution to the positive labels, as compared with the negative labels. Empirically, sufficient experiments on several label distribution learning data sets validate the effectiveness of LESCM. © 1989-2012 IEEE.

关键词： Contrastive Learning

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