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International Conference on Sustainable Traffic and Transportation engineering, CSTTE 2023

作者： Chen, Chaoying Shen, Yinjun School of Civil Engineering Changsha University of Science and Technology Hunan China

ISBN: (纸本)9789819758135

To study the adverse vibrations of overloading and cable breakage, a single tower cable-stayed bridge model was established using finite element software ANSYS. The fracture effects of cables at different positions were simulated, and the overall linear changes of the bridge before and after fracture were analyzed. Equivalent vehicle loads were applied to obtain the influence of the most unfavorable fracture on the main beam line shape when the load was distributed at the most unfavorable position. The analysis results show that the impact of cable breakage varies at different positions. Cable breakage at locations with higher cable forces and bending moments will cause more significant vibration in the main beam, resulting in more significant changes in the main beam line shape. It is only when the three cables break that the displacement exceeds the allowable value in the specifications. © The Author(s) 2024.

关键词： Cable stayed bridges

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Point cloud upsampling generative adversarial network based on residual multi-scale off-set attention

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Virtual Reality & Intelligent Hardware 2023年第1期5卷 81-91页

作者： Bin SHEN Li LI Xinrong HU Shengyi GUO Jin HUANG Zhiyao LIANG School of Computer and Artificial Intelligence Wuhan Textile UniversityHubei 430200China School of Computer Science and Engineering Macao University of Science and TechnologyMacao China

Background Owing to the limitations of the working principle of three-dimensional(3D) scanning equipment, the point clouds obtained by 3D scanning are usually sparse and unevenly distributed. Method In this paper, we propose a new generative adversarial network(GAN) that extends PU-GAN for upsampling of point clouds. Its core architecture aims to replace the traditional self-attention(SA) module with an implicit Laplacian offset attention(OA) module and to aggregate the adjacency features using a multiscale offset attention(MSOA)module, which adaptively adjusts the receptive field to learn various structural features. Finally, residual links are added to create our residual multiscale offset attention(RMSOA) module, which utilizes multiscale structural relationships to generate finer details. Result The results of several experiments show that our method outperforms existing methods and is highly robust.

关键词： Point cloud upsampling Generative adversarial network Attention

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Joint Watermarking and Encryption for Social Image Sharing

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computers, Materials & Continua 2025年第5期83卷 2927-2946页

作者： Conghuan Ye Shenglong Tan Shi Li Jun Wang Qiankun Zuo Bing Xiong School of Information Engineering Hubei University of EconomicsWuhan430205China School of Computer and Communication Engineering Changsha University of Science&TechnologyChangsha410114China

With the fast development of multimedia social platforms,content dissemination on social media platforms is becomingmore *** image sharing can also raise privacy *** encryption can protect social ***,most existing image protection methods cannot be applied to multimedia social platforms because of encryption in the spatial *** this work,the authors propose a secure social image-sharing method with watermarking/fingerprinting and ***,the fingerprint code with a hierarchical community structure is designed based on social network ***,discrete wavelet transform(DWT)from block discrete cosine transform(DCT)directly is *** that,all codeword segments are embedded into the LL,LH,and HL subbands,*** selected subbands are confused based on Game of Life(GoL),and then all subbands are diffused with singular value decomposition(SVD).Experimental results and security analysis demonstrate the security,invisibility,and robustness of our ***,the superiority of the technique is elaborated through comparison with some related image security *** solution not only performs the fast transformation from block DCT to one-level DWT but also protects users’privacy in multimedia social *** the proposed method,JPEG image secure sharing in multimedia social platforms can be ensured.

关键词： Multimedia security digital watermarking image encryption image sharing privacy protection

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3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation 27th

3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsul...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Gan, Dongwei Chang, Ming Chen, Juan School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9783031781858

Medical image segmentation (MIS) aims to finely segment various organs. It requires grasping global information from both parts and the entire image for better segmenting, and clinically there are often certain requirements for segmentation efficiency. Convolutional neural networks (CNNs) have made considerable achievements in MIS. However, they are difficult to fully collect global context information and their pooling layer may cause information loss. Capsule networks, which combine the benefits of CNNs while taking into account additional information such as relative location that CNNs do not, have lately demonstrated some advantages in MIS. Vision Transformer (ViT) employs transformers in visual tasks. Transformer based on attention mechanism has excellent global inductive modeling capabilities and is expected to capture long-range information. Moreover, there have been resent studies on making ViT more lightweight to minimize model complexity and increase efficiency. In this paper, we propose a U-shaped 3D encoder-decoder network named 3D-EffiViTCaps, which combines 3D capsule blocks with 3D EfficientViT blocks for MIS. Our encoder uses capsule blocks and EfficientViT blocks to jointly capture local and global semantic information more effectively and efficiently with less information loss, while the decoder employs CNN blocks and EfficientViT blocks to catch finer details for segmentation. We conduct experiments on various datasets, including iSeg-2017, Hippocampus and Cardiac to verify the performance and efficiency of 3D-EffiViTCaps, which performs better than previous 3D CNN-based, 3D Capsule-based and 3D Transformer-based models. We further implement a series of ablation experiments on the main blocks. Our code is available at: https://***/HidNeuron/3D-EffiViTCaps. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Decoding

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Ionogel electrolyte based on porous graphitic C_(3)N_(4)nanosheets for room temperature to 150℃quasi-solid-state lithium batteries

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Journal of Energy Chemistry 2025年第5期104卷 494-504页

作者： Zhaoen Liu Xueao Jiang Jiayin Chen Weijian Liu Long Zhao Yang Lv Zhiyong Li Yan Zhang Xiwen Wang Shiguo Zhang College of Energy Engineering Huanghuai UniversityZhumadian 463000HenanChina College of Materials Science and Engineering State Key Laboratory of Advanced Design and Manufacturing Technology for VehicleHunan UniversityChangsha 410082HunanChina School of Chemistry and Chemical Engineering Henan Normal UniversityXinxiang 453007HenanChina

Ionogels,generally formed by immobilizing ionic liquids(ILs)with polymer gelators,hold considerable promise as quasi-solid-state electrolytes(QSSEs)for lithium metal batteries(LMBs)due to their high safety and electrode ***,their practical use in high-temperature LMBs suffers from the softened polymer chains of gelator at high temperatures,leading to liquid leakage and severe growth of Li ***,a novel inorganic ionogel(PCNIL)combining lithium salt-containing IL with porous graphitic carbon nitride nanosheets(PCN)is developed through direct physical *** exhibits a superior ionic conductivity(0.75 mS cm^(-1))at room temperature similar to that of neat IL electrolyte(LiIL)and a Li^(+)transference number(0.56)greatly higher than that of Li-IL(0.20).Furthermore,PCNIL maintains a temperature-independent shear storage modulus of up to 5 MPa from room temperature to 150℃.Consequently,the Li|PCNIL|Li symmetrical cell demonstrates extended reversible lithium plating/stripping over 1200 h without dendritic *** robust mechanical strength,excellent thermal stability,and electrochemical stability of PCNIL allow Li|PCNIL|LiFePO_(4)cells to operate stably in a wide temperature range of 25–150℃.

关键词： Ionogels Graphitic carbon nitride Quasi-solid-state electrolytes High temperature Lithium metal batteries

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An Aggregation Protocol Resisting Collusion Attacks in the Internet of Vehicles Environment 10

An Aggregation Protocol Resisting Collusion Attacks in the I...

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10th IEEE International Conference on Cyber Security and Cloud Computing and 9th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Xu, Zisang Zhang, Ruirui Huang, Peng Xu, Jianbo Changsha University of Science and Technology Computer and Communication Engineer Institute Changsha China Hunan University of Science and Technology School of Computer science and Engineering Xiangtan China

ISBN: (纸本)9798350312461

In the Internet of Vehicles(IoV) based on federated learning, the vehicle avoids the server from collecting sensitive data of users by uploading model parameters. However, after research, it is found that the model parameters uploaded by the vehicle are also vulnerable to model inversion attacks or other attacks, thus exposing sensitive data of users. Therefore, this paper proposes an aggregation protocol resisting collusion attacks in the Internet of Vehicles environment. First, the Roadside Unit (RSU) and the Trusted Authority (TA) cooperate to issue tokens for the vehicle to reduce the authentication overhead of the vehicle frequently crossing domains. Second, the protocol uses blinding factors and secret sharing techniques to effectively resist collusion attacks between entities. Finally, after mathematical analysis, it is proved that the protocol has high security and efficiency. © 2023 IEEE.

关键词： Vehicles

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Heterogeneous Task Allocation Model and Algorithm for Intelligent Connected Vehicles

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computers, Materials & Continua 2024年第9期80卷 4281-4302页

作者： Neng Wan Guangping Zeng Xianwei Zhou School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China School of Mechanical and Transportation Southwest Forestry UniversityKunming650224China

With the development of vehicles towards intelligence and connectivity,vehicular data is diversifying and growing dramatically.A task allocation model and algorithm for heterogeneous Intelligent Connected Vehicle(ICV)applications are proposed for the dispersed computing network composed of heterogeneous task vehicles and Network Computing Points(NCPs).Considering the amount of task data and the idle resources of NCPs,a computing resource scheduling model for NCPs is *** the heterogeneous task execution delay threshold as a constraint,the optimization problem is described as the problem of maximizing the utilization of computing resources by *** proposed problem is proven to be NP-hard by using the method of reduction to a 0-1 knapsack problem.A many-to-many matching algorithm based on resource preferences is *** algorithm first establishes the mutual preference lists based on the adaptability of the task requirements and the resources provided by *** enables the filtering out of un-schedulable NCPs in the initial stage of matching,reducing the solution space *** solve the matching problem between ICVs and NCPs,a new manyto-many matching algorithm is proposed to obtain a unique and stable optimal matching *** simulation results demonstrate that the proposed scheme can improve the resource utilization of NCPs by an average of 9.6%compared to the reference scheme,and the total performance can be improved by up to 15.9%.

关键词： Task allocation intelligent connected vehicles dispersed computing matching algorithm

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Streaming Histogram Publication over Weighted Sliding Windows Under Differential Privacy

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Tsinghua science and technology 2024年第6期29卷 1674-1693页

作者： Xiujun Wang Lei Mo Xiao Zheng Zhe Dang School of Computer Science and Technology Anhui University of TechnologyMa’anshan 243032China Institute for Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China Baosight Software(Anhui)Co.Ltd. Ma’anshan 243000China School of Electrical Engineering and Computer Science Washington State UniversityPullman 99164WAUSA

Continuously publishing histograms in data streams is crucial to many real-time applications,as it provides not only critical statistical information,but also reduces privacy leaking *** the importance of elements usually decreases over time in data streams,in this paper we model a data stream by a sequence of weighted sliding windows,and then study how to publish histograms over these windows *** existing literature can hardly solve this problem in a real-time way,because they need to buffer all elements in each sliding window,resulting in high computational overhead and prohibitive storage *** this paper,we overcome this drawback by proposing an online algorithm denoted by Efficient Streaming Histogram Publishing(ESHP)to continuously publish histograms over weighted sliding ***,our method first creates a novel sketching structure,called Approximate-Estimate Sketch(AESketch),to maintain the counting information of each histogram interval at every time instance;then,it creates histograms that satisfy the differential privacy requirement by smartly adding appropriate noise values into the sketching *** experimental results and rigorous theoretical analysis demonstrate that the ESHP method can offer equivalent data utility with significantly lower computational overhead and storage costs when compared to other existing methods.

关键词： differential privacy randomized algorithm streaming data publication weighted sliding window approximate statistics data usability computational complexity

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An attention-based teacher-student model for multivariate short-term landslide displacement prediction incorporating weather forecast data

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Journal of Mountain science 2024年第8期21卷 2739-2753页

作者： CHEN Jun HU Wang ZHANG Yu QIU Hongzhi WANG Renchao Sichuan Artificial Intelligence Research Institute Yibin 644000China School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China School of Architecture and Civil Engineering Chengdu UniversityChengdu 610106China

Predicting the displacement of landslide is of utmost practical importance as the landslide can pose serious threats to both human life and ***,traditional methods have the limitation of random selection in sliding window selection and seldom incorporate weather forecast data for displacement prediction,while a single structural model cannot handle input sequences of different lengths at the same *** order to solve these limitations,in this study,a new approach is proposed that utilizes weather forecast data and incorporates the maximum information coefficient(MIC),long short-term memory network(LSTM),and attention mechanism to establish a teacher-student coupling model with parallel structure for short-term landslide displacement *** MIC,a suitable input sequence length is selected for the LSTM *** investigate the influence of rainfall on landslides during different seasons,a parallel teacher-student coupling model is developed that is able to learn sequential information from various time series of different *** teacher model learns sequence information from rainfall intensity time series while incorporating reliable short-term weather forecast data from platforms such as China Meteorological Administration(CMA)and Reliable Prognosis(https://***)to improve the model’s expression capability,and the student model learns sequence information from other time *** attention module is then designed to integrate different sequence information to derive a context vector,representing seasonal temporal attention ***,the predicted displacement is obtained through a linear *** proposed method demonstrates superior prediction accuracies,surpassing those of the support vector machine(SVM),LSTM,recurrent neural network(RNN),temporal convolutional network(TCN),and LSTM-Attention *** achieves a mean absolute error(MAE)of 0.072 mm,root mean square error(RMSE)of 0.096 mm,and pearson correlation coefficients(PC

关键词： Landslide prediction MIC LSTM Attention mechanism Teacher Student model Prediction stability and interpretability

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Pupillometry Analysis of Rapid Serial Visual Presentation at Five Presentation Rates

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Tsinghua science and technology 2024年第2期29卷 543-552页

作者： Xi Luo Yanfei Lin Rongxiao Guo Xirui Zhao Shangen Zhang Xiaorong Gao School of Integrated Circuits and Electronics Beijing Institute of TechnologyBeijing 100081China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China School of Medicine Tsinghua UniversityBeijing 100084China

In this study,the effect of presentation rates on pupil dilation is investigated for target recognition in the Rapid Serial Visual Presentation(RSVP)*** this experiment,the RSVP paradigm with five different presentation rates,including 50,80,100,150,and 200 ms,is *** pupillometry data of 15 subjects are collected and *** pupillometry results reveal that the peak and average amplitudes for pupil size and velocity at the 80-ms presentation rate are considerably higher than those at other presentation *** average amplitude of pupil acceleration at the 80-ms presentation rate is significantly higher than those at the other presentation *** latencies under 50-and 80-ms presentation rates are considerably lower than those of 100-,150-,and 200-ms presentation ***,no considerable differences are observed in the peak,average amplitude,and latency of pupil size,pupil velocity,and acceleration under 100-,150-,and 200-ms presentation *** results reveal that with the increase in the presentation rate,pupil dilation first increases,then decreases,and later reaches *** 80-ms presentation rate results in the largest point of pupil *** correlation is observed between pupil dilation and recognition accuracy under the five presentation rates.

关键词： pupil dilation presentation rate Rapid Serial Visual Presentation(RSVP)

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