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Synthesis of nitrogen-doped reduced graphene oxide/magnesium ferrite/polyaniline composite aerogel as a lightweight,broadband and efficient microwave absorber

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Journal of Materials Science & technology 2024年第8期175卷 115-124页

作者： Ruiwen Shu Lijuan Nie Ziwei Zhao Xunhong Yang School of Chemical Engineering State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal MinesAnhui University of Science and TechnologyHuainan 232001China Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining Anhui University of Science and TechnologyHuainan 232001China

The fabrication of graphene-based microwave absorbing materials with low density,small filling ratio,broad bandwidth and strong absorption remains a huge *** this work,nitrogen-doped reduced graphene oxide/magnesium ferrite/polyaniline(NRGO/MgFe_(2)O_(4)/PANI)composite aerogel was synthesized by a three-step method of solvothermal reaction,in situ chemical oxidation polymerization and hydrothermal *** results showed that the obtained aerogels had a unique three-dimensional(3D)porous network structure and low bulk density(11.1-13.0 mg cm^(−3)).It was worth noting that in the NRGO/MgFe_(2)O_(4)/PANI ternary composite aerogel,MgFe_(2)O_(4)coated with a thin PANI layer was anchored on the surface of NRGO ***,the NRGO/MgFe_(2)O_(4)/PANI ternary composite aerogel showed much better microwave absorbing capacity compared with pure NRGO aerogel and NRGO/MgFe_(2)O_(4)binary composite *** the filling ratio was as low as 11.5 wt.%,the obtained ternary composite aerogel exhibited the maximum effective absorption bandwidth of 7.0 GHz at a matching thickness of 2.1 mm,and the minimum reflection loss of-42.9 dB at a thickness of 3.57 ***,the prob-able microwave dissipation mechanism was also *** was believed that this study would pave the way for the construction of 3D graphene-based composites as lightweight,broadband and efficient microwave absorbents.

关键词： Graphene Composite aerogel Polyaniline Magnesium ferrite Microwave absorption

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Designing top layer in internet of things for underground mines 39th

Designing top layer in internet of things for underground mi...

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39th International symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019

作者： Feng, S. Ding, E. National Joint Engineering Laboratory of Internet Applied Technology of Mines China University of Mining and Technology Xuzhou China IoT Perception Mine Research Center China University of Mining and Technology Xuzhou China

ISBN: (纸本)9780367336042

The booming development of IoT for mines requires the planning of the mining technology from the top layer. This paper interprets the "top layer design of mine internet technology" compiled by the State Administration of Work Safety. This paper ana-lyzes the technical background and the core content of the top-level design from several aspects, including the design idea, the development status, the challenges, the strategic goals, the core technology, the implementation route and the supporting measures. This provides a reference that helps the scientific researchers and the technological managers in the mining industry to understand and use the ideas of "top layer design". The demonstration project in Jiahe coal mine proves the feasibility and the effectiveness of the ideas. © 2019 Taylor & Francis Group, London.

关键词： Coal mines

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Repeated Proof of Single Work Consensus Algorithm Based on Behavior Values 7

Repeated Proof of Single Work Consensus Algorithm Based on B...

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7th IEEE Information technology and Mechatronics engineering Conference, ITOEC 2023

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

ISBN: (纸本)9798350334197

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. © 2023 IEEE.

关键词： Blockchain

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Designing Top Layer in Coal Mine internet of Things 22

Designing Top Layer in Coal Mine Internet of Things

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22nd World Congress of the International Measurement Confederation, IMEKO 2018

作者： Ding, Enjie Feng, Shimin National Joint Engineering Laboratory of Internet Applied Technology of Mines China University of Mining and Technology Xuzhou221008 China IoT Perception Mine Research Centre China University of Mining and Technology Xuzhou221008 China

The booming development of the mine IoT requires the planning of the mining technology from the top layer. This paper interprets the "top layer design of mine internet technology" compiled by the State Administration of Work Safety last year. This paper analyzes the technical background and core content of the top-level design from the aspects of design idea, development status, challenge, strategic goal, core technology, implementation route and guarantee. This provides a reference that helps the scientific researchers in the mining industry and technological managers to read, understand and use the ideas of "top layer design". The demonstration project in Jiahe coal mine proves the feasibility and the effectiveness of the ideas. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Coal mines

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Cross-Dataset Evaluation of an Effective Face Anti-Spoofing Algorithm

Cross-Dataset Evaluation of an Effective Face Anti-Spoofing ...

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Pattern Recognition and Machine Learning (PRML), IEEE International Conference on

作者： Xingyi You Xiaohu Zhao National and Local Joint Engineering Laboratory of Internet Applied Technology on Mines China University of Mining and Technology School of Information and Control Engineering Xuzhou China

ISBN: (数字)9798350355925

ISBN: (纸本)9798350355932

Face anti-spoofing (FAS) is a kind of face-liveness detection technology that is the key to ensuring the reliability of face recognition results. In recent years, some deep learning-based methods have performed well in intra-tests. However, their limited ability to extract intrinsic features from face images often hinders generalization to attacks in unknown domains and leads to poor performance. In this paper, we propose a novel FAS method based on domain generalization, comprising an image encoder, two lightweight feature extractors (identity (I-FT) and style (S-FT), and a modulation factor. Initially, deep features extracted from the ResNet34 network are utilized to convert input face images into high-dimensional feature vectors. Subsequently, two lightweight feature extraction modules learn distinct hints related to identity and style information from the image encoder. Finally, an adjustment factor is adopted that adjusts the extracted feature parameters for enhancing model performance on domain generalization tasks for anti-fraud purposes involving faces. After the verification of a large number of experimental results, we find that the proposed method has good domain generalization ability and shows excellent performance on different datasets.

关键词： Deep learning Learning systems Visualization Correlation Face recognition Modulation Feature extraction Vectors Reliability

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Improved traffic sign detection algorithm of YOLOv3 8

Improved traffic sign detection algorithm of YOLOv3

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8th International Conference on Electronic technology and Information Science, ICETIS 2023

作者： Gong, Rui Zhao, Xiaohu Huo, Yu National and Local Joint Engineering Laboratory of Internet Application Technology on Mine China University of Mining and Technology Jiangsu Xuzhou221008 China School of Information and Control Engineering China University of Mining and Technology Jiangsu Xuzhou221008 China

ISBN: (纸本)9781510666535

A traffic sign detection algorithm based on improved YOLOv3 in natural environment is constructed to address the problems of the existing traffic sign detection model with a large number of small-sized traffic sign, low accuracy rate and slow recognition speed for traffic sign with small object. Firstly, model compression is performed on the network structure, using the network pruning method to reduce the model size and improve the operation speed;Secondly, one scale detection structure is added on the basis of YOLOv3 network structure, and four-scale detection structure are used to fully enable the network to obtain more feature information of small traffic sign and effectively improve the detection rate of small object traffic sign;Finally, the K-means++algorithm is used to re-cluster and calculate the size of the bounding box of the object in the TT100K data set to generate a smaller size prior bounding box, which improves the recognition accuracy of the model for small target traffic sign. The experimental results on TT100K traffic sign data set show that the proposed method has better accuracy and recall than the original YOLOv3 model. © 2023 SPIE.

关键词： K-means clustering

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Effect of the electric-field distribution on the morphology of dot-array gratings fabricated by AFM-based nanolithography

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International Journal of Nanomanufacturing 2017年第1期13卷 23-32页

作者： Hu, Kexiang Long, Fei Wang, Qingkang National and Local Joint Engineering Laboratory of Internet Technology on Mine Research Center of Internet of Things China University of Mining and Technology 1 Jinshan East Road Quanshan District Xuzhou221008 China National Key Laboratory of Micro/Nano Fabrication Technology Key Laboratory for Thin Film and Microfabrication Technology of Ministry of Education School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Minhang District Shanghai200240 China Department of Mechanical Engineering-Engineering Mechanics Michigan Technological University 1400 Townsend Drive HoughtonMI United States

local electric-field-induced anodic oxidation is one of the earliest and most extensively studied techniques in bias-assisted AFM nanolithography. The electric field provides the oxidation kinetics of nanoscale electrochemical reaction and controls the spacial resolution of the fabricated structures. Once electric field is formed, its distribution and intensity can be modified by changing the tip-sample voltage and separation. In this paper, the influence of the bias voltage on the three-dimensional (3D) radial electric field intensity distribution in the space between the tip and the sample, the influence of the electric field strength on dot-array grating structures and the morphology distribution of the nanodot structure in the dot-array grating have been analysed deeply. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： Electric fields

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A Unified Platform for Information Extraction with Two-Stage Process 10th

A Unified Platform for Information Extraction with Two-Stage...

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10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021

作者： Zhao, Chongshuai Guo, Dongjie Dai, Xudong Gu, Chengmin Fa, Lingling Liu, Peng National Joint Engineering Laboratory of Internet Applied Technology of Mines China University of Mining and Technology Xuzhou Jiangsu China University of Science and Technology of China Hefei Anhui China Xi’an Jiaotong University Xi’an Shaanxi China Nanjing University of Science and Technology Nanjing Jiangsu China

ISBN: (纸本)9783030884826

The multi-format Information Extraction (IE) task in Language and Intelligence Challenge 2021 (LIC2021) consists of three subtasks: Relation Extraction (RE), Sentence-level Event Extraction (SentEE) and Document-level Event Extraction (DocEE). Deep learning methods have made great progress in each subtask these years. However, most of them cannot solve these subtasks by a unified platform. In this paper, we develop a unified neural model with two-stage process, which adopt the Enhanced NER module in stage one to obtained the ELEMENTs and corresponding LABELs. In stage two, we designed the customized manoeuvres to solve challenges in different subtasks. The submission shows that our model achieves competitive performance, which ranks 3rd on the final leaderboard. © 2021, Springer Nature Switzerland AG.

关键词： Deep learning

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Environmental risk assessment of industrial byproduct gypsum utilized for flling abandoned mines

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International Journal of Coal Science & technology 2022年第4期9卷 214-225页

作者： XueHong Du Xiangdong Li Qiyan Feng Lei Meng Yue Sun School of Environment Science and Spatial Informatics China University of Mining and TechnologyXuzhou 221116China The National and Local Joint Engineering Laboratory of Internet Application Technology On Mine China University of Mining and TechnologyXuzhou 221008Jiangsu ProvinceChina IoT Perception Mine Research Center China University of Mining and TechnologyXuzhou 221008Jiangsu ProvinceChina Jiangsu Vocational Institute of Architectural Technology No.26 Xueyuan RoadXuzhou 221433China

In response to the basic policy of green and low-carbon circular development to solve resource,environmental and ecological problems,gypsum is considered to be a flling material for mine *** explore the potential risks of gypsum to the groundwater environment due to the backflling of abandoned mines,a sequential batch leaching experiment was carried out in this paper,which used three types of industrial waste gypsum,namely,phosphorus gypsum(PG),titanium gypsum(TG)and fue gas desulfurization gypsum(FGDG).COMSOL Multiphysics 5.4 software was used to simulate and solve the migration process of the leached metal elements in the mine foor when these three gypsum types were used as flling materials to observe the concentration distributions and difusion distances of the metal elements from these three gypsum types in the mine *** results show that(1)during repeated contact of the three types of industrial waste gypsum with the leaching medium,the pH levels changed,and the changes in pH afected the leaching patterns for the heavy metal elements in the gypsum.(2)Based on the concentrations of the metal elements that were leached from the three types of gypsum,it can be determined that these three types of gypsum are not classifed as hazardous solid wastes,but they cannot be ruled out with regard to their risk to the groundwater environment when they are used as mine flling materials.(3)When the three types of gypsum are used as flling materials,the concentration distributions of the metal elements and their migration distances all exhibit signifcant changes over *** concentration distributions,difusion rates and migration distances of the metal elements from the diferent gypsum types are afected by their initial concentrations in the *** maximum migration distances of Zn in the foor from the PG,FGDG and TG are 8.2,8.1 and 7.5 m,respectively.

关键词： Industrial solid waste gypsum Coal mine back-flling Leaching of metal elements Patterns of migration

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Effect of heterogeneity on mechanical and micro-seismic behaviors of sandstone subjected to multi-level cyclic loading: A discrete element method investigation

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Journal of Rock Mechanics and Geotechnical engineering 2023年第10期15卷 2556-2581页

作者： Zhengyang Song Zhen Yang Min Zhang Fei Wang Martin Herbst Heinz Konietzky Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining Anhui University of Science and TechnologyHuainan232000China Department of Civil Engineering University of Science and Technology BeijingBeijing100083China Geotechnical Institute TU Bergakademie FreibergFreiberg09599Germany Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines Northeastern UniversityShenyang110819China

In numerical simulation of the mechanical responses and acoustic emission(AE)characteristics of rocks under cyclic loading,the impacts of compositional heterogeneities of mineral grains have barely been *** will lead to a poor reproduction of rock’s behaviors in terms of stress-strain relationship and micro-seismic characteristics in numerical *** work aims to analyze and reveal the impact of parameter heterogeneity on the rock’s fatigue and micro-seismic properties based on *** distribution patterns(uniform and Weibull distributions),are implemented to assign four critical parameters(*** strength,cohesion,parallel bond stiffness and linear stiffness)for 32 sets of numerical *** results show that the models with high heterogeneity of tensile strength and cohesion can better reproduce the stress-strain relationship as well as the patterns of cumulative AE counts and energy *** evolution of the proportion of three-level AE events in the laboratory test is consistent with the numerical results when the highly heterogeneous tensile strength and cohesion are *** numerical results can provide practical guidance to the PFC-based modeling of rock heterogeneity when exposed to multi-level cyclic loading and AE monitoring.

关键词： Discrete element method(DEM) Heterogeneity Weibull distribution PFC3D Cyclic loading Acoustic emission(AE)

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