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IEEE Information technology and Mechatronics engineering Conference (ITOEC)

作者： XiaoHu Zhao Tao Zhou Yue Wang College of Information and Control Engineering China University of Mining and Technology Jiangsu China National Local Joint Engineering Laboratory of Mining Internet Application Technology Jiangsu China

The proof-of-work consensus algorithm (PoW) ensures security by exhaustive search for difficulty values that meet the requirements, but there are problems such as waste of resources and slow block output speed. To address the above problems, the repeated proof of single work consensus algorithm (RPoSW) based on behavior values is proposed. Specifically, in the mining phase, the behavioral value is introduced based on the mechanism of dynamically adjusting the difficulty of mining, and the work of single mining determines the attribution of two rounds of bookkeeping rights. Reusing computing power in the mining process can reduce the consumption of resources, and introducing behavioral values can avoid relying solely on node computing power when selecting bookkeeping nodes. In the verification phase, the authoritative nodes with the top ranking in the behavior value list are selected to participate, which ensures the credibility of the verification environment and reduces the verification time. In addition, the reward and punishment mechanism of economy and reputation(RPoER) is proposed, which can increase the cost of nodes committing malicious behaviors. Through theoretical and experimental analysis, RPoSW can resist nodes from committing malicious behaviors and ensure system security while greatly saving arithmetic power.

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Effect of adsorption-induced matrix swelling on coal permeability evolution of micro-fracture with the real geometry

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Petroleum Science 2021年第4期18卷 1143-1152页

作者： Ming-Yao Wei Jishan Liu Ying-Ke Liu Zhang-Hao Liu Derek Elsworth National and Local Joint Engineering Laboratory of Internet Application Technology on Mine IoT Perception Mine Research CenterChina University of Mining and TechnologyXuzhou 221116JiangsuChina State Key Laboratory of Coal and CBM Co-Mining Jincheng 048012ShanxiChina School of Engineering The University of Western Australia35 Stirling HighwayPerthWA6009Australia Faculty of Safety Engineering China University of Mining and TechnologyXuzhou 221116JiangsuChina Institute of Rock and Soil Mechanics Chinese Academy of SciencesWuhan 430071HubeiChina Department of Energy and Mineral Engineering G3 Center and Energy InstituteThe Pennsylvania State UniversityUniversity ParkPA16802USA

Gas transport in coal induces effective stress variation,matrix swelling/shrinkage,and significantly affects matrix and fracture deformation,resulting in porosity and permeability ***,the heterogeneity and anisotropy of coal are neglected in dual porosity models,which can lead to the deviation from the real physical *** uncover the permeability evolution,especially the influence of dynamic matrix-fracture interaction for real fracture distribution,advanced virtual simulation is *** this study,real fracture geometry is taken into account in the physical model based on the CT-scan image,while the mathematical models for coal deformation and gas flow are *** calculations are verified against a long-term experimental data under the same boundary ***,the real matrix-fracture interaction caused by adsorption-induced matrix deformation has been visually exhibited,and some new insight into the behavior of fracture permeability in real materials is *** results indicate the non-uniform distribution of fracture geometry is responsible for the nonmonotonic change of *** also found that injection pressure,Langmuir strain constant and initial matrix permeability have important influences on the fracture permeability *** research provides valuable insight into the understanding of the permeability change for the real fracture spatial distribution in coal.

关键词： Geometry distribution Adsorption swelling Coal permeability Matrix-fracture interaction

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Numerical simulation on dynamic development features of mininginduced fractures in overlying strata during shallow coal seam mining

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Electronic Journal of Geotechnical engineering 2013年 18 V卷 5531-5543页

作者： Zhang, Wei Zhang, Dongsheng Wu, Lixin Wang, Xufeng IoT/Perception Mine Research Center National and Local Joint Engineering Laboratory of Internet Technology on Mine China University of Mining and Technology Xuzhou Jiangsu 221008 China College of Geology and Mining Engineering Xinjiang University Urumchi Xinjiang 830046 China School of Mines China University of Mining and Technology Xuzhou Jiangsu 221116 China

In order to provide a reference basis for measuring point's arrangement of field measurement, the 11203# coalface of Daliuta Coal Mine - a typical representative of the second type shallow coal seam in western mining area had chosen as the geological prototype in this paper. Comprehensively considered the geological occurrence characteristics of the coal seam, appropriately adjusted the original geological parameters of overlying strata, and adopted the computer numerical simulation method, the dynamic development features of mining-induced fractures in overlying strata during shallow coal seam mining had been analyzed by numerical simulation. © 2013 ejge.

关键词： Coal mines

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Dynamic Disentangled Interactive Network

SSRN

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SSRN 2023年

作者： You, Peng Zhao, Xiaohu National and Local Joint Engineering Laboratory of Internet Applied Technology on Mines China University of Mining and Technology Jiangsu Province Xuzhou221008 China School of Information and Control Engineering China University of Mining and Technology Jiangsu Province Xuzhou221116 China Xuhai College China University of Mining and Technology Jiangsu Province Xuzhou221008 China

[Abstract] Continuous-time dynamic graphs (CTDGs) serve as abstractions of real-world dynamic networks. They represent a concrete and profound restoration of many scenarios in the real-world. For instance, various types of terminal intelligent agents in the industrial internet of Things will engage in dynamic interactive communication to facilitate collaborative work within specific group topologies. Despite recent advancements in research on representation learning for CTDGs, the factorized representation of features across different dimensions and potential causality have not been adequately considered or explicitly modeled to capture dynamic patterns. The existing literature predominantly relies on manual extraction of temporal and spatial features, which fails to adequately capture the underlying causal relationships. In this study, we propose a novel dynamic disentangled interactive network (DDIN) that effectively disentangles the spatio-temporal features of the dynamic network within our model. In spatial interaction, the constraints on feature extraction determined by the spatial topology of nodes within khop while in time temporal sequences, anonymous strategies are employed to extract sequential slice motifs, which correspond to low-dimensional features in different interactions, effectively capturing potential spatio-temporal dynamics. We further used a combination of loss functions to optimize the model. Our approach exhibits distinct advantages in both transductive and inductive settings across four authentic datasets. © 2023, The Authors. All rights reserved.

关键词： Intelligent agents

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A novel patch array antenna with wideband and dual sense circular polarization characteristics for WiMAX & WLAN applications

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Progress In Electromagnetics Research C 2020年 99卷 123-132页

作者： Zheng, Yaqiang Gao, Min Zhao, Xiaohu Department of Mechanical and Electrical Engineering Huainan Union University Huainan232000 China School of Mechanical and Electrical Engineering Hefei Technology College Hefei230601 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221000 China The National Joint Engineering Laboratory of Internet Applied Technology of Mines Xuzhou221000 China

A wideband patch array antenna with dual sense circular polarization (CP) is investigated in this paper. Four rotated hexagonal patches are sequentially distributed on the upper surface of substrate 1 to form a patch array. In order to widen impedance bandwidth, an annular feeding network with four rectangular branches is designed. At the bottom of the antenna, two orthogonally placed microstrip baluns are introduced to obtain the characteristics of left-hand circular polarization (LHCP) and right-hand circular polarization (RHCP). Meanwhile, four coaxial probes, passing through substrate 2 and substrate 3, are used to transmit the feeding signal between microstrip balun and the annual feeding network. The proposed patch array antenna is fabricated for verifying the feature of wideband and dual circular polarizations. The measured results show that the antenna has an impedance bandwidths of 70.2% (1.72–3.58 GHz) with an axial ratio (AR) bandwidth of 61% (1.85–3.48 GHz) and over 6.2 dBi gain at two ports. Moreover, the measured port isolation remains below −15 dB over the entire impedance bandwidth, and the measured radiation patterns with excellent directionality and symmetry at two ports indicate that the proposed antenna can be used for wireless applications. © 2020, Electromagnetics Academy. All rights reserved.

关键词： Circular polarization

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Effect of hexagonal nanoconical hole arrays based solar cells on the light absorption enhancement

Effect of hexagonal nanoconical hole arrays based solar cell...

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International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)

作者： Kexiang Hu Enjie Ding Peihua Wangyang Qingkang Wang National and Local Joint Engineering Laboratory of Internet Technology on Mine China University of Mining and Technology Xuzhou P.R.China National Key Laboratory of Micro/Nano Fabrication Technology Shanghai Jiao Tong University Shanghai P.R.China

ISBN: (纸本)9781479979240

The optical properties of the silicon hexagonal nanoconical hole (SiHNH) arrays based solar cells is systematically studied via simulation based on Rigorous Coupled Wave Analysis (RCWA) and Modal Transmission Line (MTL) theory. An ultimate efficiency of the optimized SiHNH arrays based solar cell is up to 31.92%, 4.52% higher than that of silicon hexagonal nanoconical frustum (SiHNF) arrays. The absorption enhancement of the SiHNH arrays is due to its lower reflectance and more supported guided-mode resonances, and the enhanced ultimate efficiency is insensitive to bottom diameter (D bot ) of nanoconical hole and the incident angle. The result provides an additional guideline for the nanostructure surface texturing fabrication design for photovoltaic applications.

关键词： Silicon Absorption Photovoltaic cells Optical arrays Optical films Optimized production technology

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Multiscale Morphological and Topological Characterization of Coal Microstructure: Insights into the Intrinsic Structural Difference between Original and Tectonic Coals

SSRN

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SSRN 2022年

作者： Zhang, Kaizhong Zou, Aoao Cheng, Yuanping Wang, Liang Li, Wei Liu, Chun National and Local Joint Engineering Laboratory of Internet Application Technology on Mine China University of Mining and Technology Xuzhou221116 China Ministry of Education Xuzhou221116 China School of Safety Engineering China University of Mining and Technology Xuzhou221116 China

Multiscale microstructure of tectonic coal evolution determines CBM storage, development and transport mechanism as well as its effect on coal and gas outburst potential. The multi-scale morphological and topological microstructure characterization of original and tectonic coals were performed via the photoelectric & radiation techniques, fluid penetration method and digital core technique, from nanometer scale to micrometer scale. This study concludes that compared to original coals, tectonism coals have enhanced sorption ability with short equilibrium time and lower structural strength basically. With the increase of metamorphism, the surface morphological features could transform from irregular to regular as the banded pore-fractures evolve into uniformly distributed pores;brittle and ductile deformations increase microstructure connectivity and promote more irregular bending coal body than original coals. Coalification could accelerate an evolutionary trend from larger pores to smaller pores whereas mesopore and macropore are more sensitive to tectonism than micropore;meanwhile, micropore volume and surface area in high-ranked coals are significantly influenced with the tectonism than middle-ranked coals;besides, the negligible variation in micropores volume serves as a significant contributor to a rapid rise in surface area. Tectonism restrains the increase of effective migration pathways, i.e., the constricted configuration. Physisorption isotherms indirectly verify the coal as a carbon-based porous material including diverse pore shapes, such as cylindrical, conical, slit and constricted pores, etc. 3D visualization of tectonic coal morphologically exhibits more microcracks and sporadically distributed pore-connected groups, completely transforming original coal matrix into smaller blocks that promote gas sorption, diffusion and seepage capacity. In this case, the equivalent topological parameters of tectonic coals are strengthened with more developed space-t

关键词： Coal

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Long-Term Evolution of Coal Permeability Under Effective Stresses Gap Between Matrix and Fracture During CO₂ Injection

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Transport in Porous Media 2019年第3期130卷 969-983页

作者： Wei, Mingyao Liu, Jishan Shi, Rui Elsworth, Derek Liu, Zhanghao National and Local Joint Engineering Laboratory of Internet Application Technology on Mine IoT Perception Mine Research Center China University of Mining and Technology Xuzhou 221116 Jiangsu China School of Engineering The University of Western Australia 35 Stirling Highway Perth 6009 WA Australia Key Laboratory of Tectonics and Petroleum Resources China University of Geosciences Wuhan 430074 China Department of Energy and Mineral Engineering G3 Center and Energy Institute The Pennsylvania State University University Park 16802 PA United States State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan 430071 China

Understanding the long-term evolution of coal permeability under the influence of gas adsorption-induced multiple processes is crucial for the efficient sequestration of CO₂, coalbed methane extraction and enhanced coal bed methane recovery. In previous studies, coal permeability is normally measured as a function of gas pressure under the conditions of constant effective stresses, uniaxial strains and constant confining pressures. In all these experiments, an equilibrium state between coal matrix and fracture is normally assumed. This assumption has essentially excluded the effect of matrix–fracture interactions on the evolution of coal permeability. In this study, we hypothesize that the current equilibrium assumption is responsible for the discrepancy between theoretical expectations and experimental measurements. Under this hypothesis, the evolution of coal permeability is determined by the effective stress gap between coal matrix and fracture. This hypothesis is tested through an experiment of CO₂ injection into a coal core under the constant effective stress. In this experiment, the effective stress in the fracture system is unchanged while the effective stress in the matrix evolves as a function of time. In the experiment, the coal permeability was measured continuously throughout the whole period of the experiment (~ 80 days). The experimental results show that the core expands rapidly at the beginning due to the gas injection-induced poroelastic effect. After the injection, the core length remains almost unchanged. But, the measured permeability declines from 60 to 0.48 μD for the first month. It rebounds slowly for the subsequent 2 months. These results indicate that the effective stress gap has a significant impact on the evolution of coal permeability. The switch of permeability from the initial reduction (the first 30 days) to rebound (the subsequent 50 days) suggests a transition of matrix deformation from nearby the fracture wall

关键词： Coal permeability Effective stress gap Equilibrium state Gas adsorption Matrix swelling

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GUEST EDITORIAL

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China Communications 2023年第2期 3-6页

作者： Yuan Wu Xu Chen Feng Lyu Xianfu Chen Xumin Huang Jie Gao Yueyue Dai Tony Q.S.Quek Yan Zhang the State Key Laboratory of Internet of Things for Smart City University of Macau the Department of Computer and Information Science University of Macau Sun Yat-sen University Sun Yat-sen University Institute of Advanced Networking and Computing Systems Sun Yat-sen University National and Local Joint Engineering Laboratory the School of Computer Science and Engineering Central South University the VTT Technical Research Centre of Finland the School of Automation Guangdong University of Technology the School of Information Technology Carleton University Huazhong University of Science and Technology Singapore University of Technology and Design(SUTD) the IEEE Communications Society Technical Committee on Green Communications and Computing(TCGCC)

With the growing maturity of the advanced edge-cloud collaboration and integrated sensing-communication-computing systems, edge intelligence has been envisioned as one of the enabling technologies for ubiquitous and l...

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Advancing Ultra-Short-Term Wind Power Forecasting with Multi-Channel ML Techniques

Advancing Ultra-Short-Term Wind Power Forecasting with Multi...

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Energy Systems and Electrical Power (ICESEP), International Conference on

作者： Jiapin Ren Chenlin Zhu Zeyu Huang Ruihan Chen Shurui Xu Peng You Department of Information and Electrical Engineering Xuhai College China University of Mining and Technology Xuzhou China Metropolitan College Boston University Boston USA School of Information Engineering China Jiliang University Hangzhou China School of Mathematical Sciences Zhejiang Normal University Jinhua China Cognitive Neuroscience Laboratory Beijing Meishi Cha Technology Co. Ltd. Beijing China National and Local Joint Engineering Laboratory of Internet Applied Technology on Mines China University of Mining and Technology School of Information and Control Engineering China University of Mining and Technology Xuhai College China University of Mining and Technology Xuzhou China

ISBN: (数字)9798350353563

ISBN: (纸本)9798350353570

To address the inherent unpredictability of wind speeds and directions, which significantly affect wind turbine output, this paper presents a multi-channel feature combination strategy for ultra-short term wind power prediction. The research utilises a number of data sources, including meteorological observations, historical power data and geographical inputs, to create a robust feature set for prediction models. By using advanced machine learning techniques, in particular deep learning models such as Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, the study effectively captures the complex dynamics of wind power generation. The novel approach of reclassifying data sets and refining model features through task-specific channels significantly improves prediction accuracy. Experimental results show significant improvements in prediction accuracy, highlighting the potential of the proposed method to optimise grid operation and energy management in real-time scenarios.

关键词： Accuracy Wind power generation Predictive models Feature extraction Data models Wind turbines Convolutional neural networks

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