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A Risk Prediction Model Based on Crash History Data for Railway Trams

Chinese Journal of Electronics 2023年第5期32卷 963-971页

作者： JI Wenjiang YANG Jiangcheng WANG Yichuan ZHU Lei QIU Yuan HEI xinhong School of Computer Science and Engineering Xi'an University of Technology

Risk prediction is an important task to ensuring the driving safety of railway trams. Although data-driven intelligent methods are proved to be effective for driving risk prediction, accuracy is still a top concern for the challenges of data quality which mainly represent as the unbalanced datasets. This study focuses on applying feature extraction and data augmentation methods to achieve effective risk prediction for railway trams, and proposes an approach based on a self-adaptive K-means clustering algorithm and the least squares deep convolution generative adversarial network(LS-DCGAN). The data preprocessing methods are proposed, which include the K-means algorithm to cluster the locations of trams and the extreme gradient boosting recursive feature elimination based feature selection algorithm to retain the key features. The LS-DCGAN model is designed for sparse sample expansion, aiming to address the sample category distribution imbalance problem. The experiments implemented with the public and real datasets show that the proposed approach can reach a high accuracy of 90.69%,which can greatly enhances the tram driving safety.

关键词： Solid modeling Clustering algorithms Feature extraction Prediction algorithms Rail transportation Safety History

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Multi-strategy hybrid whale optimization algorithms for complex constrained optimization problems

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High technology Letters 2024年第1期30卷 99-108页

作者：王振宇 WANG Lei School of Computer Science and Engineering Xi'an University of TechnologyXi'an 710048P.R.China

A multi-strategy hybrid whale optimization algorithm(MSHWOA)for complex constrained optimization problems is proposed to overcome the drawbacks of easily trapping into local optimum,slow convergence speed and low optimization ***,the population is initialized by introducing the theory of good point set,which increases the randomness and diversity of the population and lays the foundation for the global optimization of the ***,a novel linearly update equation of convergence factor is designed to coordinate the abilities of exploration and *** the same time,the global exploration and local exploitation capabilities are improved through the siege mechanism of Harris Hawks optimization ***,the simulation experiments are conducted on the 6 benchmark functions and Wilcoxon rank sum test to evaluate the optimization performance of the improved *** experimental results show that the proposed algorithm has more significant improvement in optimization accuracy,convergence speed and robustness than the comparison algorithm.

关键词： whale optimization algorithm(WOA) good point set nonlinear convergence factor siege mechanism

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Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images

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IEEE Transactions on Medical Imaging 2025年第6期44卷 2631-2642页

作者： Kang, Yuxin Li, Hansheng Shi, xiaoshuang Zhang, xiao xing, Yaqiong Wen, Yuting Wang, Yi Cui, Lei Feng, Jun Yang, Lin Yulin University Department of Information Engineering Shaanxi Yulin China The School of Information Science and Technology Northwest University Shaanxi Xi'an China Northwest University School of Information Science and Technology Shaanxi Xi'an China University of Electronic Science and Technology of China Department of Computer Science and Engineering Sichuan Chengdu China Xi'An Jiaotong University School of Computer Science and Technology Shaanxi Xi'an China

Tissue segmentation in histopathological images plays a crucial role in computational pathology, owing to its significant potential to indicate the prognosis of cancer patients. Presently, numerous Weakly Supervised Semantic Segmentation (WSSS) methods strive to utilize image-level labels to achieve pixel-level segmentation, aiming to minimize the need for detailed annotations. Most of these methods rely on Class Activation Maps (CAM) extracted from classification models, frequently leading to poor coverage of objects. The major cause is attributed to the strong inductive bias of the classification model, focusing primarily on discriminative feature of objects, rather than non-discriminative features. Inspired by this, we propose a simple yet effective method that introduces a self-supervised task by exploiting both the discriminative and non-discriminative features, and generate Unbiased Activation Maps (UAM) to encompass the whole object. Specifically, our method entails clustering all spatial features of an object class to derive semantic centers. Each center then works as a spatial filter that amplifies similar feature and suppresses dissimilar feature, and extract high-quality pseudo-labels (some noise at object boundaries). Moreover, we further propose a Noise-Reduced (NR) Learning method to train the segmentation network towards credible signals and lessen the impact of false predictions. Comprehensive experimental results on two public histopathology image datasets demonstrate the superior performance of our method over the state-of-the-art weakly supervised segmentation methods. © 2025 IEEE. All rights reserved.

关键词： Semantic Segmentation

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Exploring the effects of mask wearing on outdoor thermal comfort at different walking speeds—A thermal manikin-based experiment

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Building Simulation 2024年第9期17卷 1601-1613页

作者： xiling Lu Shengkai Zhao Yongchao Zhai Jianlin Liu College of Environmental Science and Engineering Donghua UniversityShanghai201620China State Key Laboratory of Green Building Xi’an University of Architecture and TechnologyXi’anShaanxi710055China College of Architecture Xi’an University of Architecture and TechnologyXi’anShaanxi710055China

Face masks’wearing for a long duration brings thermal discomfort,especially in hot climate *** face masks’thermal insulation and its effect on outdoor thermal comfort have been rarely *** this study,five types of face masks and their thermal insulations have been tested by using a thermal manikin in the climate *** results are assessed by using physiological equivalent temperature(PET)and standard effective temperature(SET^(*))for thermal comfort with masks at three walking speeds both in summer and *** differences in thermal insulation are observed among the different masks,the values of PET and SET^(*)rise with increasing mask thermal insulation,and they are generally higher in summer than in ***,the variation of SET*is more obvious than PET with same masks at different walking *** the differences of SET^(*)with and without masks appear to rise significantly for fast *** further indicate that the individuals’physical discomfort caused by wearing masks cannot simply be assumed as an additional effect of the clothing thermal *** findings enrich the clothing thermal insulation database,explore the differences in thermal indices if the face mask is used,and provide advice on heat mitigation with masks outdoors.

关键词： outdoor thermal comfort face mask clothing insulation thermal manikin metabolic rate

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The Effect of Key Nodes on theMalware Dynamics in the Industrial Control Network

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computers, Materials & Continua 2024年第4期79卷 329-349页

作者： Qiang Fu JunWang Changfu Si Jiawei Liu College of Computer Science and Technology Shenyang University of Chemical TechnologyShenyang110142China College of Computer Science and Engineering Northeastern UniversityShenyang110169China

As industrialization and informatization becomemore deeply intertwined,industrial control networks have entered an era of *** connection between industrial control networks and the external internet is becoming increasingly close,which leads to frequent security *** paper proposes a model for the industrial control *** includes a malware containment strategy that integrates intrusion detection,quarantine,and ***,the role of keynodes in the spreadofmalware is studied,a comparisonexperiment is conducted to validate the impact of the containment *** addition,the dynamic behavior of the model is analyzed,the basic reproduction number is computed,and the disease-free and endemic equilibrium of the model is also obtained by the basic reproduction ***,through simulation experiments,the effectiveness of the containment strategy is validated,the influence of the relevant parameters is analyzed,and the containment strategy is *** otherwords,selective immunity to key nodes can effectively suppress the spread ofmalware andmaintain the stability of industrial control *** earlier the immunization of key nodes,the *** the time exceeds the threshold,immunizing key nodes is almost *** analysis provides a better way to contain the malware in the industrial control network.

关键词： Key nodes dynamic model industrial control network simulation

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Adaptive ROI Optimization Pyramid Network: Lane Detection for FSD under Data Uncertainty

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engineering Letters 2025年第2期33卷 282-291页

作者： Cao, Xu Liu, Weisheng Wang, Zhijian College of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China College of Computer Science and Software Engineering University of Science and Technology Liaoning Co Anshan114051 China

To mitigate the challenges posed by data uncertainty in Full-Self Driving (FSD) systems. This paper proposes a novel feature extraction learning model called Adaptive Region of Interest Optimized Pyramid Network (ARO). Specifically, ARO introduces a novel cross-layer fusion attention mechanism that dynamically assigns weighted attention to feature maps across different levels, facilitating deep feature fusion and enabling the effective extraction and utilization of salient feature information. Furthermore, ARO incorporates a feature replication layer to duplicate and refine feature maps at multiple levels, thereby enhancing its capability to capture fine-grained details and generate richer feature representations. Additionally, a multi-path upsampling strategy preserves fine-grained features during upsampling. Extensive experimental evaluations conducted on the benchmark CuLane and Tusimple datasets demonstrate that ARO achieves an F1 score of 80.60% on the CuLane dataset, outperforming state-of-the-art methods, showcasing the effectiveness of the proposed approach in handling data uncertainty for robust lane detection in autonomous driving. Our code are available at https://***/caoxu0109/lane detect ldfr. © 2025, International Association of Engineers. All rights reserved.

关键词： Attention mechanisms Culane Lane detection Multi-scale fusion network Tusimple

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All-inorganic TiO_(2)/Cs_(2)AgBiBr_(6) composite as highly efficient photocatalyst under visible light irradiation

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Frontiers of Chemical science and engineering 2023年第12期17卷 1925-1936页

作者： Jianzhong Ma Lu Wen Qianqian Fan Siying Wei Xueyun Hu Fan Yang College of Bioresources Chemical and Materials Engineering Shaanxi University of Science and TechnologyXi’an 710021China College of Chemistry and Chemical Engineering Shaanxi University of Science and TechnologyXi’an 710021China Key Laboratory of Auxiliary Chemistry and Technology for Chemical Industry(Ministry of Education) Shaanxi University of Science and TechnologyXi’an 710021China Xi’an Key Laboratory of Green Chemicals and Functional Materials Shaanxi University of Science and TechnologyXi’an 710021China College of Environmental Science and Engineering Shaanxi University of Science and TechnologyXi’an 710021China

In recent years, limited photocatalysis efficiency and wide band gap have hindered the application of TiO_(2) in the field of photocatalysis. A leading star in photocatalysis has been revealed as lead-free Cs_(2)AgBiBr_(6) double halide perovskite nanocrystals, owing to its strong visible light absorption and tunable band gap. In this work, this photocatalytic process was facilitated by a unique TiO_(2)/Cs_(2)AgBiBr_(6) composite, which was identified as an S-cheme heterojunction. TiO_(2)/Cs_(2)AgBiBr_(6) composite was investigated for its structure and photocatalytic behavior. The results showed that when the perovskite dosage is 40%, the photocatalytic rate of TiO_(2) could be boosted to 0.1369 min^(-1). This paper discusses and proposes the band gap matching, carrier separation, and photocatalytic mechanism of TiO_(2)/Cs_(2)AgBiBr_(6) composites, which will facilitate the generation of new ideas for improving TiO_(2)’s photocatalytic performance.

关键词： Cs_(2)AgBiBr_(6)nanocrystals visible-light photocatalyst Cs_(2)AgBiBr_(6) TiO_(2)heterojunction

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Image Color Rendering Based on Hinge-Cross-Entropy GAN in Internet of Medical Things

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computer Modeling in engineering & sciences 2023年第4期135卷 779-794页

作者： Hong’an Li Min Zhang Dufeng Chen Jing Zhang Meng Yang Zhanli Li College of Computer Science and Technology Xi’an University of Science and TechnologyXi’an710054China Beijing Geotechnical and Investigation Engineering Insititute Beijing100080China Xi’an Institute of Applied Optics Xi’an710065China

computer-aided diagnosis based on image color rendering promotes medical image analysis and doctor-patient communication by highlighting important information of medical *** overcome the limitations of the color rendering method based on deep learning,such as poor model stability,poor rendering quality,fuzzy boundaries and crossed color boundaries,we propose a novel hinge-cross-entropy generative adversarial network(HCEGAN).The self-attention mechanism was added and improved to focus on the important information of the *** the hinge-cross-entropy loss function was used to stabilize the training process of GAN *** this study,we implement the HCEGAN model for image color rendering based on DIV2K and COCO datasets,and evaluate the results using SSIM and *** experimental results show that the proposed HCEGAN automatically re-renders images,significantly improves the quality of color rendering and greatly improves the stability of prior GAN models.

关键词： Internet of Medical Things medical image analysis image color rendering loss function self-attention generative adversarial networks

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Gradient carbonyl-iron/carbon-fiber reinforced composite metamaterial for ultra-broadband electromagnetic wave absorption by multi-scale integrated design

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International Journal of Minerals,Metallurgy and Materials 2023年第6期30卷 1198-1206页

作者： Qian Zhou Tiantian Shi Bei Xue Shengyue Gu Wei Ren Fang Ye xiaomeng Fan Wenyan Duan Zihan Zhang Lifei Du College of Science Xi’an University of Posts and TelecommunicationsXi’an 710121China College of Materials Science and Engineering Xi’an University of Science and TechnologyXi’an 710054China Science and Technology on Thermostructural Composite Materials Laboratory Northwestern Polytechnical UniversityXi’an 710072China Technology and Engineering Centre for Space Utilisation Chinese Academy of SciencesBeijing 100094China

The demand of high-end electromagnetic wave absorbing materials puts forward higher requirements on comprehensive performances of small thickness,lightweight,broadband,and strong ***,a novel multi-layer stepped metamaterial absorber with gradient electromagnetic properties is *** complex permittivity and permeability of each layer are tailored via the proportion of carbonyliron and carbon-fiber dispersing into the epoxy *** proposed metamaterial is further optimized via adjusting the electromagnetic parameters and geometric sizes of each *** with the four-layer composite with gradient electromagnetic properties which could only realize reflection loss(RL)of less than−6 dB in 2.0-40 GHz,the optimized stepped metamaterial with the same thickness and electromagnetic properties realizes less than−10 dB in the relevant frequency ***,the RL of less than−15 dB is achieved in the frequency range of 11.2-21.4 GHz and 28.5-40 *** multiple electromagnetic wave absorption mechanism is discussed based on the experimental and simulation results,which is believed to be attributed to the synergy effect induced by multi-scale structures of the ***,combining multi-layer structures and periodic stepped structures into a novel gradient absorbing metamaterial would give new insights into designing microwave absorption devices for broadband electromagnetic protections.

关键词： broadband absorption metamaterials gradient impedance multi-scale synergic effect

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Hybrid IT? Algorithm for Large-Scale Colored Traveling Salesman Problem

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Chinese Journal of Electronics 2024年第6期33卷 1337-1345页

作者： Xueshi DONG College of Computer Science and Technology Qingdao University Beijing Key Laboratory of Urban Spatial Information Engineering School of Computer Science Wuhan University

In the fields of intelligent transportation and multi-task cooperation, many practical problems can be modeled by colored traveling salesman problem(CTSP). When solving large-scale CTSP with a scale of more than 1000dimensions, their convergence speed and the quality of their solutions are limited. This paper proposes a new hybrid IT?(HIT?) algorithm, which integrates two new strategies, crossover operator and mutation strategy, into the standard IT?. In the iteration process of HIT?, the feasible solution of CTSP is represented by the double chromosome coding, and the random drift and wave operators are used to explore and develop new unknown regions. In this process, the drift operator is executed by the improved crossover operator, and the wave operator is performed by the optimized mutation strategy. Experiments show that HIT? is superior to the known comparison algorithms in terms of the quality solution.

关键词： Transportation Traveling salesman problems Multitasking Encoding Standards Biological cells Convergence

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