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Theoretical analysis and engineering application of controllable shock wave technology for enhancing coalbed methane in soft and low‑permeability coal seams

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International Journal of Coal science & technology 2024年第2期11卷 123-142页

作者： Guodong Qiao Zegong Liu Yongmin Zhang Changping Yi Kui Gao Shigui Fu Youzhi Zhao School of Safety Science and Engineering Anhui University of Science and TechnologyHuainan 232001AnhuiChina Institute of Energy Hefei Comprehensive National Science CenterHefei 230031AnhuiChina School of Electrical Engineering Xi’an Jiaotong UniversityXi’an 710049ShanxiChina Division of Mining and Geotechnical Engineering LuleåUniversity of TechnologyLuleåSweden

Coalbed methane(CBM)is a significant factor in triggering coal and gas outburst disaster,while also serving as a clean *** the increasing depth of mining operations,coal seams that exhibit high levels of gas content and low permeability have become increasingly *** controllable shockwave(CSW)technology has proven effective in enhancing CBM in laboratory settings,there is a lack of reports on its field applications in soft and low-permeability coal *** study establishes the governing equations for stress waves induced by *** numerical inversion was employed to analyse the dynamic response of the coal seam during CSW ***,quantitative calculations were performed for the crushed zone,fracture zone,and effective CSW influence range,which guided the selection of field test *** results of the field test unveiled a substantial improvement in the gas permeability coefficient,the average rate of pure methane flowrate,and the mean gas flowrate within a 10 m radius of the antireflection *** enhancements were notable,showing increases of 3 times,13.72 times,and 11.48 times,***,the field test performed on the CSW antireflection gas extraction hole cluster demonstrated a noticeable improvement in CBM *** antireflection,the maximum peak gas concentration and maximum peak pure methane flow reached 71.2%and 2.59 m^(3)/min,*** findings will offer valuable guidance for the application of CSW antireflection technology in soft and low-permeability coal seams.

关键词： CSW antireflection in coal seams CBM extraction enhancement Soft and low-permeability coal seams Field test

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Multimodal Deep Learning for Crop Disease Classification 4

Multimodal Deep Learning for Crop Disease Classification

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4th International Symposium on computer technology and Information science, ISCTIS 2024

作者： Liu, Zhijing Wang, Mingde Xi'an Eurasia University School of Information Engineering Xi'an China Xidian University School of Computer Science and Technology Xi'an China

ISBN: (纸本)9798350354560

Crop diseases and pests have a significant impact on yield and quality. In order to effectively identify these pests and diseases, digital image processing technology has been widely applied in the agricultural field. In recent years, deep learning technology has made significant progress in digital image processing, with its performance significantly surpassing traditional methods. Therefore, researchers have begun to explore how to optimize plant pest and disease classification methods using deep learning techniques. This article proposes a crop disease classification model using multi-modal deep learning methods, which enhances the accuracy and efficiency of crop disease classification by integrating various information patterns. In addition, this article provides an in-depth analysis of the importance of crop disease detection and compares it with traditional detection techniques from multiple dimensions. Experimental results have shown that the proposed method can improve the robustness of crop disease classifiers. © 2024 IEEE.

关键词： Adversarial machine learning

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Adaptive Bistable Stochastic Resonance Based Weak Signal Reception in Additive Laplacian Noise

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China Communications 2024年第1期21卷 228-241页

作者： Jin Liu Zan Li Qiguang Miao Li Yang School of Computer Science and Technology Xidian UniversityXi’an 710071China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an 710071China

Weak signal reception is a very important and challenging problem for communication systems especially in the presence of non-Gaussian noise,and in which case the performance of optimal linear correlated receiver degrades *** at this,a novel uncorrelated reception scheme based on adaptive bistable stochastic resonance(ABSR)for a weak signal in additive Laplacian noise is *** analyzing the key issue that the quantitative cooperative resonance matching relationship between the characteristics of the noisy signal and the nonlinear bistable system,an analytical expression of the bistable system parameters is *** this basis,by means of bistable system parameters self-adaptive adjustment,the counterintuitive stochastic resonance(SR)phenomenon can be easily generated at which the random noise is changed into a benefit to assist signal ***,it is demonstrated that approximately 8dB bit error ratio(BER)performance improvement for the ABSR-based uncorrelated receiver when compared with the traditional uncorrelated receiver at low signal to noise ratio(SNR)conditions varying from-30dB to-5dB.

关键词： adaptive bistable stochastic resonance additive Laplacian noise low signal to noise ratio uncorrelated reception scheme weak signal reception

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Laser-fabricated wood-based microfluidic chip integrating dual detection for lead ion detection

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Applied Optics 2025年第15期64卷 4447-4452页

作者： Li, Chen Lyu, Yicheng Li, Hao Zhao, Tianwei Ding, Shukai College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Xi’an710021 China College of Mechanical Engineering Xi’an Jiaotong University Xi’an710049 China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an710054 China School of Physics and Information Science Shaanxi University of Science and Technology Shaanxi Xi’an710021 China

This study utilized laser processing to prepare a wood-based microfluidic chip incorporating two detection methods (microwave detection and colorimetric spectroscopy detection) for detecting lead ions in solutions. By optimizing CO2 and femtosecond laser processing parameters and ultraviolet bonding processes, preparation of the chip was achieved. Femtosecond laser processing created 5.285 µm capacitive gaps in resistor-inductor-capacitor (RLC) resonant circuits. RLC circuits and a sodium rhodizonate colorimetric method were used to detect lead ions in solutions. Experimental results showed that the dual-mode system exhibited detection limits of 1 µg/L (colorimetry, linear response at 620 nm, R2 = 0.975) and 10 µg/L (microwave sensing via the peak frequency changes between 2.5 and 3.2 GHz, with a sensitivity of 0.36 dB/10 µg/L). This study accomplished the precision manufacturing of a wood-based microfluidic chip through laser processing and realized the integration of microwave and spectroscopic detection technologies. © 2025 Optica Publishing Group.

关键词： Gluing

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A Learning-Based Iterative Algorithm for AoI-Optimal Trajectory Planning in UAV-Assisted IoT Networks

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4598-4613页

作者： Huang, Zihao Chen, Hai Gu, Bo Gong, Shimin Su, Zhou Guizani, Mohsen Sun Yat-sen University School of Intelligent Systems Engineering Shenzhen518107 China Xi’an Jiaotong University School of Cyber Science and Engineering Xi’an710049 China Qatar University Computer Science and Engineering Department Doha2713 Qatar

In this paper, we employ an unmanned aerial vehicle (UAV) to ensure the freshness of sensing data, as measured by the age of information (AoI), in Internet of Things (IoT) networks. Specifically, the UAV switches between flying and hovering modes to collect data from widely distributed IoT devices. UAV trajectory planning, which determines the times and moments of data collection, is vital for optimizing the system AoI. Considering the limited UAV onboard energy and mission duration, AoI-optimal trajectory planning is formulated as a mixed-integer nonlinear programming (MINLP) problem. We first decompose the MINLP problem into two subproblems: a UAV time scheduling subproblem and a UAV path planning subproblem. Then, we propose a learning-based iterative (LBI) algorithm that consists of two modules: a successive convex approximation (SCA)-based module for solving the time scheduling subproblem, and a hierarchical asynchronous advantage actor-critic (A3C) module for addressing the path planning subproblem. The numerical results verify that the proposed LBI algorithm outperforms typical baselines in terms of the AoI performance. © 2025 IEEE. All rights reserved,

关键词： Unmanned aerial vehicles (UAV)

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Federated Class-Incremental Learning via Weighted Aggregation and Distillation

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IEEE Internet of Things Journal 2025年第12期12卷 22489-22503页

作者： Wu, Feng Tan, Alysa Ziying Feng, Siwei Yu, Han Deng, Tao Zhao, Libang Chen, Yuanlu Soochow University School of Computer Science and Technology Suzhou215000 China Nanyang Technological University School of Computer Science and Engineering 639798 Singapore

Federated Class-Incremental Learning (FCIL) aims to design privacy-preserving collaborative training methods to continuously learn new classes from distributed datasets. In these scenarios, federated clients face the challenge of encountering new classes while being constrained by limited memory capacity, which can lead to catastrophic forgetting in the resulting global model. Existing FCIL approaches tend to overlook the challenges posed by the heterogeneity of dataset label distribution among clients, thereby constraining the generalization capacity of the global model they learn. Some of these methods also suffer from excessive computational burdens when addressing catastrophic forgetting problems. Furthermore, certain approaches are constrained to handling only straightforward data, posing significant difficulties in managing complex datasets and tackling more intricate scenarios. In this paper, we propose the Weighted Aggregation and Distillation-based FCIL (WAD-FCIL) method to address these limitations. To address data heterogeneity arising from class imbalance, we first introduce a task-aware client clustering method to identify clients with extreme class deviations before global model aggregation to eliminate potential impact on the global model. Then, we propose a multi-sampling weighted aggregation approach during the global FL model update that integrates knowledge from different clients and dynamically adjusts the weight of each client model to facilitate model update. To mitigate catastrophic forgetting, we propose a multi-model distillation strategy that involves selecting multiple teacher models for knowledge distillation. Extensive experiments comparing WAD-FCIL with ten state-of-the-art methods demonstrate that it significantly outperforms the baselines by 0.8%-3.2% in terms of average test accuracy on three representative benchmark datasets. © 2025 IEEE.

关键词： Federated learning

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Identity-based threshold(multi)signature with private accountability for privacy-preserving blockchain

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High-Confidence Computing 2024年第4期4卷 105-115页

作者： Jing Tian Yanqi Zhao xiaoyi Yang Xuan Zhao Ruonan Chen Yong Yu School of Cyberspace Security Xi’an University of Posts and TelecommunicationsXi’an 710121China School of Cyber Science and Technology Beihang UniversityBeijing 100191China School of Computer Science Shaanxi Normal UniversityXi’an 710119China

Identity-based threshold signature(IDTHS)allows a threshold number of signers to generate signatures to improve the deterministic wallet in the ***,the IDTHS scheme cannot determine the identity of malicious signers in case of *** solve this challenge,we propose an identity-based threshold(multi)signature with private accountability(for short AIDTHS)for privacypreserving *** the public perspective,AIDTHS is completely private and no user knows who participated in generating the *** the same time,when there is a problem with the transaction,a trace entity can trace and be accountable to the *** formally define the syntax and security model of *** address the issue of identifying malicious signers,we improve upon traditional identity-based threshold signatures by incorporating zero-knowledge proofs as part of the signature and leveraging a tracer holding tracing keys to identify all ***,to protect the privacy of signers,the signature is no longer achievable by anyone,which requires a combiner holding the keys to produce a valid *** give a concrete construction of AIDTHS and prove its ***,we implement the AIDTHS scheme and compare it with existing *** key distribution algorithm of AIDTHS takes 13.04 ms and the signature algorithm takes 34.60µ*** verification algorithm takes 1 s,which is one-third of the time the TAPS scheme uses.

关键词： Identity-based signature Threshold(multi)signature Accountability Blockchain

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A bi-metric autoscaling approach for n-tier web applications on kubernetes

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Frontiers of computer science 2022年第3期16卷 9-20页

作者： Changpeng ZHU Bo HAN Yinliang ZHAO School of Artificial Intelligence Chongqing University of TechnologyChongqing 401135 School of Computer Science and Engineering Chongqing University of TechnologyChongqing 400054China School of Journalism and New Media Xi’an Jiaotong UniversityXi’an 710049China School of Computer Science and Technology Xi’an Jiaotong UniversityXi’an 710049China

Container-based virtualization techniques are becoming an alternative to traditional virtual machines,due to less overhead and better *** one of the most widely used open-source container orchestration systems,Kubernetes provides a built-in mechanism,that is,horizontal pod autoscaler(HPA),for dynamic resource *** default,scaling pods only based on CPU utilization,a single performance metric,HPA may create more pods than actually *** extensive measurements of a containerized n-tier application benchmark,RUBBoS,we find that excessive pods consume more CPU and memory and even deteriorate response times of applications,due to ***,a Kubernetes service does not balance incoming requests among old pods and new pods created by HPA,due to stateful *** this paper,we propose a bi-metric approach to scaling pods by taking into account both CPU utilization and utilization of a thread pool,which is a kind of important soft resource in Httpd and *** approach collects the utilization of CPU and memory of ***,it makes use of ELBA,a milli-bottleneck detector,to calculate queue lengths of Httpd and Tomcat pods and then evaluate the utilization of their thread *** on the utilization of both CPU and thread pools,our approach could scale up less replicas of Httpd and Tomcat pods,contributing to a reduction of hardware resource *** the same time,our approach leverages preStop hook along with liveness and readiness probes to relieve load imbalance among old Tomcat pods and new *** on the containerized RUBBoS,our experimental results show that the proposed approach could not only reduce the usage of CPU and memory by as much as 14%and 24%when compared with HPA,but also relieve the load imbalance to reduce average response time of requests by as much as 80%.Our approach also demonstrates that it is better to scale pods by multiple metrics rather than a single one.

关键词： autoscaling container kubernetes n-tier web application ELBA

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Enhanced hydrogen evolution performance by 3D ordered macroporous Ru-CoP@NC electrocatalysts

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Rare Metals 2024年第3期43卷 1095-1107页

作者： Chen-Chen Zhang Sheng Wei Li-xian Sun Yi-Fang Ouyang Fen Xu Hai-Liang Chu Hong-GePan Li-xin Chen Xue-Zhang xiao School of Material Science and Engineering Guilin University of Electronic TechnologyGuilin541004China School of Chemistry and Chemical Engineering Guangxi UniversityNanning530004China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen518055GuangdongChina Institute of Science and Technology for New Energy Xi'an Technological UniversityXi'an710021China School of Materials Science and Engineering Zhejiang UniversityHangzhou310058China

Electrocatalytic water splitting coupled with sustainable energies is identified as an environmentally friendly and renewable strategy to generate high-quality hydrogen for the fuel ***,the main challenge is to develop high performance,low cost and chemically stable electrocatalysts to decline the energy barriers and enhance the sluggish kinetics of hydrogen evolution reaction(HER).Herein,a three-dimensional hierarchically ordered macroporous Ru-CoP@NC electrocatalyst(3DOM Ru-CoP@NC)derived from ordered macro-microporous metal-organic frameworks has been prepared using the precursor@template and double-solvent *** prepared 3DOM Ru-CoP@NC catalyst exhibits an overpotential of 15 mV(j=10 mA·cm^(-2))and a reaction Tafel slope of 38 mV·dec^(-1)in alkaline electrolyte,which are superior to commercial Pt@C ***,the overpotential and reaction Tafel slope of this catalyst in acidic media are 45 mV and 50 mV·dec^(-1),*** outstanding HER activities of 3DOM Ru-CoP@NC catalysts are ascribed to the 3D highly interconnectedreticular nanospaces that can increase effective reaction active *** N dope d carbon framework improves the electronic properties and ***,the strong interaction of Ru and CoP nanoparticles also boosts the HER *** results indicate that 3DOM Ru-CoP@NC catalysts with high catalytic activities have a broad application prospect in the future.

关键词： Hydrogen evolution reaction Template method 3D ordered macroporous Ru-CoP@NC

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The lattice friction stress driven temperature-dependent tensile deformation behaviors of CoNiCr2 eutectic medium-entropy alloy

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Journal of Materials science and technology 2025年 219卷 44-58页

作者： Wu, Haibin Wang, Weili Liu, Tianwei Yan, Pengxu Ren, Wei Zhou, Pengjie Chen, Jian School of Physical Science and Technology Northwestern Polytechnical University Xi'an 710072 China State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences Beijing 100190 China School of Science Xi'an University of Posts & Telecommunications Xi'an 710121 China School of Materials Science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China School of Materials Science and Chemical Engineering Xi'an Technological University Xi'an 710021 China

A heterogeneous CoNiCr2 eutectic medium-entropy alloy (EMEA), comprising soft face-centered cubic (FCC) and hard body-centered cubic (BCC) lamellae, associated with minor acicular hexagonal close-packed (HCP) phase precipitated in BCC phase, was synthesized towards excellent tensile strength and ductility synergy. The tensile mechanical properties demonstrated that this alloy was temperature-dependent, i.e., when the testing temperature reduced from room temperature (RT) to liquid nitrogen temperature (LNT), the yield strength, ultimate strength, and uniform elongation were enhanced from 449 MPa, 821 MPa, and 5.0 % to 702 MPa, 1174 MPa, and 8.4 %, respectively. The prominent elevation of yield strength at LNT mainly resulted from the dramatically enhanced lattice friction stress (σ0) and the FCC-BCC interfacial strengthening, while the improved ductility was attributed to the superior crack-arrest capability of FCC matrix stemmed from the accumulation of stacking faults (SFs) and enhanced σ0 at LNT. Additionally, although the deformation mechanisms were dominated by planar dislocation glides and SFs at both temperatures, the initiation of premature cracks in the BCC phase due to the inferior deformation capability at LNT constrained the better strength-ductility trade-off. The cracks in the BCC phase tended to propagate along the BCC-HCP interfaces because of the strain incompatibility. Furthermore, the sub-nanoscale L12 particles in the FCC matrix could not only strengthen this alloy but also improve the stacking fault energy leading to no deformation twinning even at LNT. This work may provide a guide for the design of remarkable strength and ductility synergy EMEAs combined with outstanding castability for applications at cryogenic temperatures. © 2024

关键词： Cracks

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