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12th International Workshop of Advanced Manufacturing and Automation, IWAMA 2022

作者： Wu, Jian Cao, Jiejie Voinov, Nikita School of Mechanical Engineering Changshu Institute of Technology Suzhou China Institute of Computer Science and Technology Peter the Great St. Petersburg Polytechnic University St. Petersburg195251 Russia

ISBN: (纸本)9789811993374

MoS2 coating with cerium additive can increase the friction performance of the substrate. In this paper, the friction of two types of Ce coatings has been studied, with particle sizes of 10 nm and 40 nm, proportions of 1%, 2%, and 4%. Microscopy and a developed tribometer were used to characterize the friction properties of these coatings. The results show Ce particles can make the surface structure of the coating more uniform. The 2% 10 nm Ce and 1% 40 nm Ce particle coatings showed lower friction coefficient values of 0.056, and 0.05, and the wear scars of these two coatings were also uniform. To find the best solid lubricating coating, the 2% 10 nm and 1% 40 nm Ce particle coatings were carried out with other experiments. The 1%, 40 nm coating has a basic coefficient of friction (0.069) showing better friction performance. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Coatings

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Latency-Optimal Pyramid-based Joint Communication and Computation Scheduling for Distributed Edge Computing 42

Latency-Optimal Pyramid-based Joint Communication and Comput...

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42nd IEEE International Conference on computer Communications, INFOCOM 2023

作者： Chen, Quan Wang, Kaijia Guo, Song Shi, Tuo Li, Jing Cai, Zhipeng Zomaya, Albert Guangdong University of Technology School of Computers Guangzhou China Hong Kong Polytechnic University Department of Computing Hong Kong Tianjin University College of Intelligence and Computing Tianjin China Georgia State University Department of Computer Science Atlanta United States University of Sydney School of Computer Science Sydney Australia

ISBN: (纸本)9798350334142

By combing edge computing and parallel computing, distributed edge computing has emerged as a new paradigm to accelerate computation at the edge. Considering the parallelism of both computation and communication, the problem of Minimum Latency joint Communication and Computation Scheduling (MLCCS) is studied recently. However, existing works have rigid assumptions that the communication time of each device is fixed and the workload can be split arbitrarily small. Aiming at making the work more practical and general, the MLCCS problem without the above assumptions is studied in this paper. Firstly, the MLCCS problem under a general model is formulated and proved to be NP-hard. Secondly, a pyramid-based computing model is proposed to consider the parallelism of communication and computation jointly, which has an approximation ratio of 1 + δ, where δ is related to devices' communication rates. An interesting property under such computing model is identified and proved, i.e., the optimal latency can be obtained under arbitrary scheduling order when all the devices share the same communication rate. When the devices own different communication rates, the optimal scheduling order is also obtained. Additionally, when the workload cannot be split arbitrarily, an approximation algorithm with ratio of at most 2 (1 + δ) is proposed. Finally, the theoretical analysis and simulation results verify that the proposed algorithm has high performance in terms of latency. Two testbed experiments are also conducted, which show that the proposed method outperforms the existing methods, reducing the latency by up to 29.2% in real-world applications. © 2023 IEEE.

关键词： Edge computing

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Efficiency Assessment of MapReduce Algorithm on a Serverless Platform 3

Efficiency Assessment of MapReduce Algorithm on a Serverless...

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3rd IEEE International Conference on Electronic technology, Communication and Information, ICETCI 2023

作者： Cai, Jingwen Huang, Kai Liao, Zhuoya Henan University International Education College Zhengzhou475000 China Zhuhai College of Science and Technology College of Computer Science Zhuhai519040 China China University of Geosciences School of Mathematics and Physics Wuhan430074 China

ISBN: (纸本)9798350398410

The MapReduce programming approach can divide large-scale data processing tasks into smaller, independent tasks, run those tasks concurrently on server clusters, and then integrate the outputs of those tasks to get the final result. Considering the wide application of MapReduce in massive data processing, this paper applies it to the serverless platform emphasizing ideas and services for realization simulation and applies it to the word count experiment. In the experiment, MapReduce is implemented on Alibaba Cloud and validated using a word count experiment of about 11K words. Its execution time on the platform under different CPU cores, memory configurations, and the number of workers is validated. By changing different platform configurations, it is concluded that compared to the number of workers, the size of CPU core has a huge impact on the response time, and the memory configuration does not affect the execution time of the model to a certain extent. By adjusting the model parameters in the experiment, the serverless implementation has a high efficiency compared with the non-serverless MapReduce model. The relationship between implementation efficiency and platform configuration provides references for optimizing the application of the MapReduce model on the serverless platform. Moreover, it may inspire the configuration of serverless hardware support in the future. At the same time, it further reflects the serverless platform's optimization of resource utilization efficiency in machine learning training. © 2023 IEEE.

关键词： MapReduce

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Efficient Privacy-Preserving Multi-Functional Data Aggregation Scheme for Multi-Tier IoT System 28

Efficient Privacy-Preserving Multi-Functional Data Aggregati...

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28th IEEE Symposium on computers and Communications, ISCC 2023

作者： Tao, Yunting Kong, Fanyu Shi, Yuliang Yu, Jia Zhang, Hanlin Liu, Huiyi School of Software Shandong University China College of Computer Science and Technology Qingdao University China College of Information Engineering Binzhou Polytechnic China Shandong Sansec Information Technology Co. Ltd China

ISBN: (纸本)9798350300482

The proliferation of Internet of Things (IoT) devices has led to the generation of massive amounts of data that require efficient aggregation for analysis and decision-making. However, multi-tier IoT systems, which involve multiple layers of devices and gateways, face more complex security challenges in data aggregation compared to ordinary IoT systems. In this paper, we propose an efficient privacy-preserving multi-functional data aggregation scheme for multi-tier IoT architecture. The scheme supports privacy-preserving calculation of mean, variance, and anomaly proportion. The scheme uses the Paillier cryptosystem and the BLS algorithm for encryption and signature, and uses blinding techniques to keep the size of the IoT system secret. In order to make the Paillier algorithm more suitable for the IoT scenario, we also improve its efficiency of encryption and decryption. The performance evaluation shows that the scheme improves encryption efficiency by 43.7% and decryption efficiency by 45% compared to the existing scheme. © 2023 IEEE.

关键词： Internet of things

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Study on the Dispersion Characteristics of Coal Complex Resistivity Under the Effect of Liquid Nitrogen Cyclic Freeze-Thaw and Evaluation of Permeability Enhancement

SSRN

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SSRN 2024年

作者： Li, Jian Xu, Xiaokai Zhang, Yugui Hou, Haihai Wang, Kunpeng Tian, Lin Jian, Kuo Xue, Zhengzheng Zhang, Zehua School of Safety Science and Engineering Henan Polytechnic University Henan Jiaozuo454003 China School of Energy Science and Engineering Henan Polytechnic University Henan Jiaozuo454003 China College of Mining Liaoning Technical University Liaoning Fuxin123000 China College of Geophysics Chengdu University of Technology Sichuan Chengdu610059 China School of Resources and Environment Henan Polytechnic University Henan Jiaozuo454003 China College of Energy and Materials Engineering Taiyuan University of Science and Technology Shanxi Taiyuan030024 China

The effect of liquid nitrogen freeze-thaw fracturing on coal seams can be potentially evaluated by the complex resistivity method. The real part (Reρ) and the imaginary part (Imρ) of the complex resistivity and permeability of coal were determined under different cycle times and different bedding directions. The reason for permeability enhancement was discussed, and the dispersion mechanism of complex resistivity during cyclic freeze-thaw fracturing was analysed. The results indicated that: (1) With an increase in cycle time, the Reρ and |Imρ| increase, the fully polarized frequency (fp) of Reρ and the characteristic frequency (fc) of Imρ decrease, and the dispersion degree (α) of the curve increases. (2) The Reρ and |Imρ| in the vertical bedding direction are greater compared to the parallel bedding direction. The fp and fc of the former are smaller than those of the latter;the former has a greater variation in Reρ and |Imρ| between adjacent fracturing cycles and a higher α. Moreover, the difference in electrical properties of the bedding structure continuously decreases with the increase in cycle time. (3) Under the effect of liquid nitrogen cyclic freeze-thaw, a complex network of fractures is formed, the anisotropic characteristics of coal are weakened, and effective conductive channels are damaged. The peak frost heave force decreases exponentially with the increase in cycle time, leading to a gradual decrease in the conductivity of coal, and the difference in bedding electrical properties disappears. (4) Comparing the inversion degree of measured data with three conductive models, ρ0 and τ are selected as the optimum parameters for evaluating the effect of liquid nitrogen cyclic freeze-thaw. Then, a logarithmic evaluation model is constructed based on the ρ0 and τ. This work provides a new perspective based on electrical detection for evaluating the permeability enhancement of coal during the liquid nitrogen cyclic freeze-thaw. © 2024, The Authors. All rights

关键词： Coal

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Global and local complementary multi-path feature fusion network for the classification of crop remote sensing images 4

Global and local complementary multi-path feature fusion net...

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2024 4th International Conference on Artificial Intelligence and Industrial technology Applications, AIITA 2024

作者： Zhang, Keqian Cui, Tengfei Wu, Wei Zhang, Yichi Zhang, Ziqian Si, Qiliang Song, Xiangyang Cheng, Gang Henan Polytechnic University College of Surveying and Land Information Engineering 2001 Century Road Jiaozuo Henan China Boston University Metropolitan College 1010 Commonwealth Avenue BostonMA United States Guilin University of Technology College of Geomatics and Geoinformation No. 319 Yanshan Street Guangxi Guilin China Hohai University School of Artificial Intelligence and Automation No. 8 Focheng West Road Jiangning District Jiangsu Nanjing China Henan University of Science and Technology School of Software No. 48 Xiyuan Road Jianxi District Henan Luoyang China

The accuracy and efficiency of crop distribution information extraction are pivotal in ensuring global food security. In long-time-series optical satellite data, most existing methods focus on extracting spatial features using Convolutional Neural Networks (CNNs), which do not adequately mine and model the spatial-temporal information. The development of the attention mechanism allows for the extraction of global features in remote-sensing images of long temporal sequences. To extract global attentional features with complementary features in crop remote sensing images, we propose a Global and Local Complementary Multi-path Feature Fusion Network (GLMP), which is capable of extracting global features from remote sensing images of long temporal sequence, that enhances the local characteristics of crop images derived from CNNs, thus obtaining more effective multi-scale complementary features. This extraction of features enhances the comprehension of crop images, thereby boosting the performance of associated tasks. Within GLMP, we introduce two pivotal modules: the Hybrid Attention and Convolutional Paths Module (HACM) and the Multi-path Feature Fusion Module (MPFM). These modules synergistically converge multi-path features, yielding more discriminative feature information. Experimental results on the ZueriCrop dataset show that the proposed GLMP technique is effective;it performs promisingly having a total accuracy of 90.2% and an F1 value of 62.5%. Furthermore, the ablation study verifies the substantial improvement in classification accuracy for remote sensing crop images of long-time series in nature, specifically attributed to the HACM and MPFM modules. © Published under licence by IOP Publishing Ltd.

关键词： Convolutional neural networks

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WAVEFIELD CHARACTERIZATION OF LAMB WAVE PROPAGATION IN COMPOSITE PLATES BASED ON GUIDED WAVE OMNIDIRECTIONAL WAVENUMBER SIMULATION 18

WAVEFIELD CHARACTERIZATION OF LAMB WAVE PROPAGATION IN COMPO...

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18th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, SPAWDA 2024

作者： Wang, Lei Liu, Hongye Sun, Maoxun Chen, Xiaorong Shen, Liang Qiu, Chongpeng Tian, Zhenhua School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Mechanical Engineering Virginia Polytechnic Institute State University 1145 Perry Street BlacksburgVA24061 United States

ISBN: (纸本)9798331523732

With the growing application of composite materials in sectors such as aerospace, automotive, and wind energy, accurately assessing their mechanical properties is critical for effective non-destructive testing (NDT) and structural health monitoring (SHM). In this paper, a three-dimensional finite element model was developed to generate the fundamental A0 Lamb wave mode within an 8-layer orthotropic laminate, addressing the complexities associated with the anisotropic behavior of composites. Utilizing the Legendre Orthogonal Polynomial Expansion (LOPE) method, we characterized the wave number profile, revealing significant directional dependence in wave propagation across multilayer laminates. The results demonstrated strong agreement between the analytical predictions from the LOPE method and the finite element simulations, confirming the robustness of our modeling approach. Additionally, we introduced an innovative omnidirectional wavefield representation method, effectively mitigating the influence of phase and group velocity steering angles. These findings enhance our understanding of guided wave dynamics in composite materials, offering valuable insights for the development of more effective detection strategies and assessments of structural integrity in complex composite systems. © 2024 IEEE.

关键词： Gravity waves

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ELASTIC CONSTANTS INVERSION OF ZIRCONIUM TUBE BASED ON THE LONGITUDINAL MODE OF GUIDED WAVE 18

ELASTIC CONSTANTS INVERSION OF ZIRCONIUM TUBE BASED ON THE L...

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18th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, SPAWDA 2024

作者： Ji, Haoshuai Liu, Hongye Sun, Maoxun Chen, Xiaorong Shen, Liang Qiu, Chongpeng Tian, Zhenhua School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Mechanical Engineering Virginia Polytechnic Institute State University 1145 Perry Street BlacksburgVA24061 United States

ISBN: (纸本)9798331523732

Estimating elastic constants in materials is markedly important in engineering and technology. Ultrasonic guided wave non-destructive testing provides an effective means for accurately assessing material properties. This paper presents a method for inverting the elastic constants of hollow pipes using the longitudinal mode of ultrasonic guided waves combined with a genetic algorithm (GA). The Legendre orthogonal polynomial expansion (LOPE) method serves as the forward model for analyzing the dispersion curves of axisymmetric guided wave modes, while the GA performs the inversion. A carefully designed finite element (FE) model generates pseudo-experimental data, which is transformed into the frequency-wave number domain for input into the GA. The comparison between simulation results and theoretical analysis confirms the validity of the FE model and the accuracy of the detected modes. The results demonstrate that the proposed method effectively inverts the elastic constants of isotropic hollow cylindrical structures, with an inversion error of less than 2% based on pseudo-experimental data. © 2024 IEEE.

关键词： Nondestructive examination

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Study on the Deformation Mechanism of a Soft Rock Tunnel

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Fluid Dynamics & Materials Processing 2022年第2期18卷 243-255页

作者： Jianhui Yang Kai Shen Shoudong Pan Shuren Wang Zhengsheng Zou School of Civil Engineering and Architecture Zhejiang University of Science and TechnologyHangzhou310023China China Railway 16 Bureau Group Co. Ltd.Beijing100018China School of Civil Engineering Henan Polytechnic UniversityJiaozuo454003China

The large deformation of soft rock tunnel is one of the key problems to be overcome in the tunnel construction *** the present study,the deformation mechanism of a representative tunnel and some related countermeasures are investigated using field tests and engineering geological *** to the scarce performances of methods based on other criteria such as small pipe spacing,anchor bolt length and steel frame spacing,a new support scheme is implemented and *** show that shear failure and bedding sliding are produced under high horizontal stress *** low strength of the surrounding rock results in the uneven convergence of both sides of the *** the aforementioned new support scheme,however,most of such problems can be mitigated leading to good stability properties and ensuing economic advantages.

关键词： Soft rock tunnel high stress deformation mechanism supporting countermeasure

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A Mobile Driving Simulator to Improve Driving Experience for Novice and Learner Drivers 9

A Mobile Driving Simulator to Improve Driving Experience for...

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9th International Symposium on Educational technology, ISET 2023

作者： Fung, Yin-Chun Lee, Lap-Kei Chui, Kwok Tai Hao, Tianyong Wu, Nga-In Tai, Kam-Cheung Tang, Wai-Leung Wong, Cheuk-Hei Hong Kong Metropolitan University School of Science and Technology Hong Kong South China Normal University School of Computer Science Guangzhou China The Hong Kong Polytechnic University Division of Languages and Communication College of Professional and Continuing Education Hong Kong

ISBN: (纸本)9798350304916

Statistics show that novice and learner drivers have a higher crash risk and lower passing rate for driving tests compared to experienced drivers, posing a risk to road safety. Therefore, we propose a mobile driving simulator game that is designed to provide an alternative driver training solution for novice and learner drivers to improve their driving experiences and prepare for the driving test. This game focuses on promoting safe driving by providing a driver training platform through smartphones, with high portability and functionality. The game consists of three modes-Tutorial, Free Driving, and Driving Test Mode. The Tutorial Mode offers driver training tutorials to teach and remind drivers of their driving knowledge. The Free Driving Mode provides an authentic Hong Kong street view to enhance drivers' recognition of roads in Hong Kong. The Driving Test Mode offers a simulated driving test for learner drivers to practice for their driving test. The game features a high-quality and authentic map of Hong Kong, with street views, buildings, and road objects built according to real-life situations in Ho Man Tin. Players can explore the detailed map while practicing driving with the game. © 2023 IEEE.

关键词： Serious games

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