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AC2Net: Hybrid attention convolution and compression fusion network for multimodal emotion recognition

Digital Signal Processing: A Review Journal 2025年 164卷

作者： Xie, Lixun Sun, Weiqing Zhang, Jingyi Zhao, Xiaohu National and Local Joint Engineering Laboratory of Internet Applied Technology on Mines China University of Mining and Technology Xuzhou221008 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China

The rapid development of human-computer interaction systems can help computers better understand human intentions. How to comprehensively and accurately recognize emotions is a key link in human-computer interaction. However, the current research on multimodal sentiment analysis tends to extract the information of a single modal separately and then simply combine the features of each mode. In this process, there is a lack of effective interaction between the features of each modal extraction, and the close relationship between the multi-modal data and the recognition task is ignored. In addition, the multimodal features are simply added and connected, ignoring the differences in the degree of correlation and contribution of different modal information to the final recognition result. In view of this, this paper proposes the Hybrid Attention Convolution and Compression Fusion Unit for Multimodal Emotion Recognition, namely AC2Net. We have designed a hybrid attention convolution model, which focuses on the interactive extraction of multi-modal features and can accurately capture key emotional perception features among three signal features, namely facial image sequence, EEG, and peripheral physiological signals. A compression fusion unit is designed to aggregate the multi-modal features, and the deep fusion of multi-modal heterogeneous information is realized by compressing and exciting the dense layers in the multi-modal branches. Finally, the proposed model was verified on the DEAP dataset, and the accuracy of valence and arousal dimension two-classification recognition reached 99.39%, 99.37%, and four-classification recognition accuracy reached 99.08%. Compared with the existing single-mode and multi-mode emotion recognition methods, the performance of this model is excellent. © 2025 Elsevier Inc.

关键词： Taxonomies

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Carboxymethyl-Β-Cyclodextrin Enhanced Persulfate/Fe2+ System for Organic Contaminant Removal in Groundwater: Performance, Influencing Factors, and Mechanisms

SSRN

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SSRN 2025年

作者： Yang, Chaoge Huang, Yanli Liu, Fangyuan Zhang, Chunpeng Dong, Jun Li, Junmeng School of Mines China University of Mining & Technology Xuzhou221116 China Key Laboratory of Coal Resources and Green Mining in Xinjiang Ministry of Education Xinjiang Institute of Engineering Urumqi830000 China Changchun130021 China National and Local Joint Engineering Laboratory for Petrochemical Contaminated Site Control and Remediation Technology Jilin University 2519 Jiefang Road Changchun130021 China

The removal of contaminants by persulfate (PDS)/Fe2+ system is a promising groundwater decontamination technology, while the non-recyclability of Fe2+ and the restricted mass transfer of contaminants in water limit the decontamination efficiency. Here, we developed carboxymethyl-β-cyclodextrin (CM-β-CD) to chelate Fe2+ coupled with enhancing the solubization of contaminants in groundwater for efficient decontamination. Results showed that a 4.60-fold enhancement in the perchloroethylene (PCE) degradation rate following the addition of 1 g/L CM-β-CD to the PDS/Fe2+ system. The ternary complex formed by CM-β-CD, Fe2+ and PCE was confirmed via ultraviolet absorption spectra and nuclear magnetic resonance hydrogen spectrum. Electron paramagnetic resonance, complemented by chemical probe and radical quenching experiments, identified singlet oxygen (1O2), high-valent iron (Fe(IV)), and hydroxyl radicals (•OH) as the dominant reactive species in the PDS/Fe2+/CM-β-CD system, with relative contributions to PCE degradation quantified at 30.37%, 26.15%, and 18.08%, respectively. The system exhibited reduced PCE degradation efficiency under neutral pH conditions and at lower temperatures. Notably, the presence of HA and common inorganic ions (Cl−, SO42−, NO3−, Na+, K+, Ca2+, and Mg2+) showed negligible effects on PCE degradation efficiency. The primary degradation intermediate of PCE in the PDS/Fe2+/CM-β-CD system was identified as dichloromethane, with the degradation pathways predominantly mediated by 1O2, Fe(IV), and •OH, and PCE could undergo dechlorination and mineralization during the degradation. This study developed an environmentally sustainable remediation strategy utilizing CM-β-CD as a dual-functional agent for simultaneous Fe2+ chelation and contaminant solubilization, enabling efficient groundwater decontamination. © 2025, The Authors. All rights reserved.

关键词： Decontamination

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Cross-Dataset Evaluation of an Effective Face Anti-Spoofing Algorithm 5

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

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5th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2024

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

ISBN: (纸本)9798350355925

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. © 2024 IEEE.

关键词： Cross-Dataset Face anti-spoofing feature extractor

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ReMERT: Relational Memory-Based Extraction for Relational Triples 10th

ReMERT: Relational Memory-Based Extraction for Relational Tr...

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

作者： Zhao, Chongshuai Dai, Xudong Feng, Lin Liu, Peng National Joint Engineering Laboratory of Internet Applied Technology of Mines China University of Mining and Technology Jiangsu Xuzhou China IFLYTEK Anhui Hefei China

ISBN: (纸本)9783030884796

Relational triples extraction aims to detect entity pairs (subjects, objects) along with their relations. Previous work failed to deal with complex relationship triples, such as overlapping triples and nested entities, and lacked semantic representation in the process of extracting entity pairs and relationships. To mitigate these issues, we propose a joint extraction model called ReMERT, which first decomposes the joint extraction task into three interrelated subtasks, namely RSE (Relation-specific Subject Extraction), RM (Relational Memory) module construction and OE (Object Extraction). The first subtask is to distinguish all subjects that may be involved with target relations, the second is to retrieve target relational representation from RM module, and the last is to identify corresponding objects for each specific (s, r) pair. Additionally, RSE and OE subtasks are further deconstructed into sequence labeling problems based on the proposed hierarchical binary tagging scheme. Owing to the reasonable decomposition strategy, the proposed model can fully capture the semantic interdependency between different subtasks, as well as reduce noise from irrelevant entity pairs. Experimental results show that the proposed method outperforms previous work by 0.8% (F1 score), achieving a new state-of-the-art on Chinese DuIE datasets. We also adopt sufficient experiments and obtain promising results both in public English NYT and Chinese DuIE datasets. © 2021, Springer Nature Switzerland AG.

关键词： Extraction

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Recent developments of nanomaterials-based conductive type methane sensors

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Rare Metals 2021年第6期40卷 1515-1527页

作者： Ming-Zhi Jiao Xiao-Yu Chen Ke-Xiang Hu De-Yu Qian Xiao-Hu Zhao En-Jie Ding Research Center for Internet of Things State and Local Joint Engineering Laboratory of Perception MineChina University of Mining and TechnologyXuzhou 221008China Jiangsu Key Laboratory of Fire Safety in Urban Underground Space China University of Mining and TechnologyXuzhou 221008China School of Mines China University of Mining and TechnologyXuzhou 221116China

Methane is an explosive gas in coalmines and needs to be monitored by methane *** methane sensors are small,simple and stable,and they are very promising for mining safety or home safety *** can even be employed in mining internet of things if the power consumption can be lowered down to few *** researches of nanomaterialsbased conductive-type methane sensors have been reported *** review intends to present a comprehensive and critical summary on the recent progresses in the nanomaterials-based conductive-type methane sensors *** excellent methane-sensitive nanomaterials will be present,such as SnO2,ZnO,TiO2,WO3,carbon nanotubes,graphene,rare earth metal-based perovskite oxides and their *** attention is given to the synthetic methods of the nanomaterials,sensing mechanisms of the nanomaterials and the relationship between the sensing performance and the structures and components of the ***,the future trends and perspectives of nanomaterials-based conductive-type methane sensors are proposed.

关键词： Nanomaterials Methane sensors Conductive gas sensors Sensing mechanism

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Microparticle stabilized foam slurry for coal spontaneous combustion control and its engineering application

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Powder technology 2025年

作者： Shuzhen Shao Shiliang Shi Yi Lu Chun Liu Qingqiong Yan Tao Wang Hunan University of Science and Technology School of Resource Environment and Safety Engineering Xiangtan Hunan 411201 China Hunan Engineering Research Center for Fire and Explosion Prevention Materials and Equipment in Underground Spaces Xiangtan Hunan 411201 China Key Laboratory of Fire and Explosion Prevention and Emergency Technology in Hunan Province Xiangtan Hunan 411201 China The National Joint Engineering Laboratory of Internet Applied Technology of Mines China University of Mining and Technology Xuzhou 221116 China

To solve the problem of poor stability, portability and adhesion of traditional filling materials for regenerated roof coal spontaneous combustion prevention and control, a modified particulate stabilized foam (MSF) was proposed from the perspective of material modification. By comparing the effects of different surfactants and stabilizers on foaming height and stable time, the optimal ratio of MSF slurry was determined. The formation mechanism of MSF and the influence of microparticle size on foam stability were revealed by microscopic characterization experiments. Finally, the engineering applicability of MSF slurry is verified by field application. The results show that 2.5 g/L AES + 1.5 g/L PAM is the optimal surfactant composite ratio. The most comprehensive performance of MSF was achieved at a microparticle size of 55–65 μm, with a pore size of 350–400 μm, which could effectively penetrate the regenerated roof fracture channels without forming a filter cake. The average contact angle and zeta potential of the microparticles increased in the composite surfactant, and the microparticles were stably adsorbed at the gas-liquid interface of the foam. The plastic viscosity and yield stress of MSF slurries are increased compared to water-based foams. The field application shows that MSF slurry can effectively inhibit coal spontaneous combustion, control the risk of gas, and improve the safe production environment of coal mines

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Wide-Angle Ultra-Broadband Metamaterial Absorber with Polarization-Insensitive Characteristics

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Chinese Physics Letters 2021年第2期38卷 102-105页

作者： Peng Chen Xianglin Kong Jianfei Han Weihua Wang Kui Han Hongyu Ma Lei Zhao Xiaopeng Shen School of Materials Science and Physics China University of Mining and TechnologyXuzhou 221116China National and Local Joint Engineering Laboratory of Internet Application Technology on Mine China University of Mining and TechnologyXuzhou 221116China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China

An ultra-wideband metamaterial absorber is developed,which is polarized-insensitive and *** layers of square resistive films comprise the proposed *** optimal values of geometric parameters are obtained,such that the designed absorber can achieve an ultra-broadband absorption response from 4.73 to 39.04 GHz(relative bandwidth of 156.7%)for both transverse electricity and transverse magnetic ***,impedance matching theory and an equivalent circuit model are utilized for the absorption mechanism *** compatibility of equivalent circuit calculation results,together with both full-wave simulation and experimental results,demonstrates the excellent performance and applicability of the proposed metamaterial absorber.

关键词： absorber transverse absorption

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Dust distribution characteristics of the breathing zone in the walkway area of fully-mechanized mining face: a case study

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Scientific Reports 2025年第1期15卷 1-14页

作者： Zhang, Wei Tu, Qingyi Xue, Sheng Xing, Fei Xu, Xingxing Zhao, Zuheng Li, Chao Guizhou Energy Group Corporation Limited Guiyang 550000 China Guizhou Research Institute of Coal Mine Design Co. LTD Guiyang 550000 China Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining Anhui University of Science and Technology Huainan 232001 China School of Safety Science and Engineering Anhui University of Science and Technology Huainan 232001 China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and Technology Huainan 232001 China Hongliulin Mining Co. Ltd Shaanxi Coal and Chemical Industry Group Co. Ltd Shenmu 719300 China

To understand the dust distribution characteristics of fully mechanized mining faces, this study utilized the gravimetric method to sample dust in the walkway area during the coal cutting process of the shearer, followed by testing and analysis of the dust samples. The research findings reveal that the pollution level in the walkway area significantly surpasses coal mine safety regulations. There is no significant correlation between variations in dust concentration and dust quantity at different locations, with the region within 6 m behind the shearer exhibiting the highest dust quantity. The rate of change in respirable dust quantity is notably lower than that of non-respirable dust quantity. In all areas except those corresponding to the shearer, the number of dust particles within the range of 0 to 10 μm exceeds 90%. Additionally, dust particles on the mining face have smooth surfaces but are predominantly elongated in shape. These findings underscore the current inadequacies in effectively controlling dust in walkway areas. Therefore, there is a pressing need to implement more technological measures to control dust in these areas, with a specific emphasis on reducing the quantity of respirable dust, rather than solely focusing on variations in dust concentration. © The Author(s) 2025.

关键词： Dust concentration Dust shape Mining face Particle size distribution Walkway area

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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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