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Improved Vocal Tract Length Perturbation for Improving Child Speech Emotion Recognition

Improved Vocal Tract Length Perturbation for Improving Child...

2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Qu, Shenkang qin, Yong qin, xuwen Ren, Ziliang Chen, Lei School of Computer Science and Technology Dongguan University of Technology Dongguan China Shenzhen International Exchange College Shenzhen China

ISBN: (纸本)9798350318012

Due to the variability of children's acoustic features during growth and the lack of a publicly available corpus of children's speech emotion data, training a robust children's Speech Emotion Recognition(SER) is more challenging than that of adults. We develop in this paper a new SER learning solution for children, which generates a child-like speech spectrum from an adult's speech spectrum based on vocal tract length normalization (VTLN) and vocal tract length perturbation (VTLP). This improved adult spectrum is then used as augmented data to improve the child speech emotion recognition system. To validate the effectiveness of this data augmentation method, we test it in two mainstream SER task networks based on Compact Convolutional Transformers(CCT) and Convolutional Neural Networks(CNN), respectively, and the proposed data augmentation method improves the accuracy and UAR by 0.32% and 0.22%, respectively, on the Fau Aibo children's emotion data corpus compared to the VTLP baseline system when trained with CCT. When trained with CNN, the accuracy and UAR are improved by 0.39% and 0.26%, respectively, compared to the VTLP baseline system. © 2023 IEEE.

关键词： Speech recognition

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Multimodal Sentiment Analysis Missing Modality Reconstruction Network Based on Shared-Specific Features

Multimodal Sentiment Analysis Missing Modality Reconstructio...

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2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Guo, Yu qin, Yong qin, xuwen Ren, Ziliang Chen, Lei School of Computer Science and Technology Dongguan University of Technology Dongguan China Grade A1 Shenzhen International Exchange College Shenzhen China

ISBN: (纸本)9798350318012

In multimodal sentiment analysis, heterogeneity between modalities makes inconsistent modal distributions a challenge. Especially in the case of incomplete features of certain modalities, the differences between modalities may interfere with the accurate prediction of sentiment categories. To address this problem, this paper proposes a missing modal reconstruction network (SSF-MMRN) for multimodal sentiment analysis based on sharing specific features. Firstly, a CMD distance-constrained training strategy is used to learn inter-modal consistency features. Second, based on the consistency features, a reconstruction module is proposed to generate missing modal features, check the semantic consistency of the recovered modalities with the original available modalities, and introduce inconsistencies into multiple models for better decision-making once they exist. Extensive experiments on the IEMOCAP benchmark dataset show that our proposed model effectively mitigates the modality gap during missing modality prediction and significantly improves the emotion recognition performance. © 2023 IEEE.

关键词： Emotion Recognition

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Optimizing Carbon Dioxide Injection for Methane Hydrate Development and Carbon Sequestration: A Long-Term Numerical Simulation Study

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ENERGY & FUELS 2024年第21期38卷 20629-20643页

作者： Zhang, Zhaobin Li, Yuxuan Xu, Tao Li, Shouding Li, Xiao Lu, Cheng qin, xuwen Chinese Acad Sci Key Lab Shale Gas & Geoengn Inst Geol & Geophys Beijing 100029 Peoples R China Chinese Acad Sci Inst Earth Sci Beijing 100049 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China Minist Nat Resources China Geol Survey Oil & Gas Resources Survey Beijing 100083 Peoples R China Natl Engn Res Ctr Gas Hydrate Explorat & Dev Guangdong 510075 Peoples R China China Geol Survey China Aero Geophys Survey & Remote Sensing Ctr Nat Beijing 100083 Peoples R China

Although in theory, carbon dioxide replacement for methane hydrate development can simultaneously enhance methane production rates and achieve carbon sequestration, its feasibility under field conditions has not been thoroughly investigated. This study proposes a carbon dioxide injection and methane development replacement strategy using a multiwell injection and production system. A custom-developed hydrate simulator was used to model the replacement process and its long-term evolution over 100,000 years. The results indicate that for shallowly buried hydrate reservoirs in seafloor sediments, carbon dioxide injection can significantly enhance methane production rates. The resulting carbon dioxide hydrates remain stable after the reservoir temperature and pressure recover, which facilitating carbon sequestration. Analysis of reservoir conditions reveals that carbon dioxide replacement is less effective for deeply buried methane hydrate reservoirs. Additionally, shallower water depths and intact seal integrity are favorable for carbon dioxide replacement. To achieve optimal replacement, the carbon dioxide injection rate must be carefully controlled;both excessive injection rates and premature injection can lead to carbon dioxide breakthrough from the injection well to the production well. Overall, this study provides insights into the feasibility analysis, site selection, and operational optimization for carbon dioxide replacement in methane hydrate development and carbon sequestration.

关键词： Carbon sequestration

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Optimization of the natural gas hydrate hot water injection production method: Insights from numerical and phase equilibrium analysis

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APPLIED ENERGY 2024年 361卷

作者： Zhang, Zhaobin Li, Yuxuan Li, Shouding He, Jianming Li, Xiao Xu, Tao Lu, Cheng qin, xuwen Chinese Acad Sci Key Lab Shale Gas & Geoengn Inst Geol & Geophys Beijing 100029 Peoples R China Chinese Acad Sci Innovat Acad Earth Sci Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China Minist Nat Resources China Geol Survey Oil & Gas Resources Survey Beijing 100083 Peoples R China Minist Nat Resources China Geol Survey Guangzhou Marine Geol Survey Guangzhou 510075 Peoples R China

The heat injection during depressurization is a crucial technique for sustaining the long-term gas production rate of natural gas hydrate. To analyze the production patterns and mechanisms of hydrate dissociation under various heat injection conditions and to further optimize heat injection strategies, this study establishes a reservoir-scale three-dimensional heterogeneous computational model using a self-developed hydrate simulator. A novel in-situ heating method utilizing bottom seawater is proposed for heat injection, and comprehensive analyses of heating power and injection rates are conducted. The results indicate that increasing heating power at a constant injection rate enhances gas production rates while reducing thermal efficiency. Simultaneously, under constant heating power, gas production rates initially increase and then decrease with increasing injection rates, revealing the presence of an optimal injection rate. This paper introduces the concepts of temperature driving force and temperature modification ratio, analyzes the mechanisms of heat injection development, and derives an optimized strategy for hot water injection through curve fitting. This research enhances our understanding of the integrated approach involving thermal stimulation and depressurization, providing significant guidance for future production endeavors.

关键词： Natural gas hydrate Thermal stimulation Three-dimensional modelling Temperature driving force Comprehensive analysis

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Efficient Production of Melanin by Aureobasidium Melanogenum Using a Simplified Medium and pH-Controlled Fermentation Strategy with the Cell Morphology Analysis

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APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY 2024年第2期196卷 1122-1141页

作者： Zhou, Ran Ma, Lan qin, xuwen Zhu, Hui Chen, Guiguang Liang, Zhiqun Zeng, Wei Guilin Med Univ Key Lab Biochem & Mol Biol Educ Dept Guangxi Zhuang Autonomous Reg 1 Zhiyuan Rd Guilin 541199 Guangxi Peoples R China Guilin Med Univ Sch Intelligent Med & Biotechnol 1 Zhiyuan Rd Guilin 541199 Guangxi Peoples R China Guangxi Univ Coll Life Sci & Technol Guangxi Microorganism & Enzyme Res Ctr Engn Techno State Key Lab Conservat & Utilizat Subtrop Agrobio 100 Daxue Rd Nanning 530004 Guangxi Peoples R China

Natural melanin is a biopolymer with wide application prospects in medicine, food, cosmetics, environmental protection, agriculture, and so on. Microbial fermentation is an important and effective way to produce melanin. In this study, Aureobasidium melanogenum, known as black yeast with cellular pleomorphism, was used for the production of melanin. Based on the characteristic of A. melanogenum secreting melanin under oligotrophic stress, a simple medium containing only glucose, MgSO4 center dot 7H(2)O, and KCl was constructed for the production of melanin. The melanin titer of 6.64 +/- 0.22 g/L was obtained after 20 days of fermentation without pH control. The cell morphological changes of A. melanogenum during the production of melanin were recorded, and the results showed that chlamydospore might be the most favorable cell morphology for melanin synthesis. Then, different fermentation strategies with cell morphology analysis were developed to further improve the production of melanin in a 5-L fermenter. Results showed that the maximum titer of melanin reached 18.50 g/L by using the fermentation strategy integrating pH control, ammonium salt addition, and H2O2 stimulation, which increased by 178.6% than that of the strategy without pH control. Furthermore, the melanin obtained from the fermentation broth was characterized as eumelanin containing an indole structure. This study provided a potentially feasible fermentation strategy for the industrial production of melanin.

关键词： Melanin Aureobasidium melanogenum Simplified medium pH-controlled strategy Cell morphology Characterization

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Changes in water quality along the process of coal chemical reverse osmosis wastewater advanced treatment: Spectral analysis and molecular level exploration

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SEPARATION AND PURIFICATION TECHNOLOGY 2025年 360卷

作者： Yuan, Run qin, Yihe Wang, Hao He, xuwen Dongguan Univ Technol Sch Environm & Civil Engn Dongguan 523808 Peoples R China CNPC Res Inst Safety & Environm Technol Beijing 102206 Peoples R China China Univ Min & Technol Sch Chem & Environm Engn Beijing 100083 Peoples R China

Investigating changes in the organic pollutant composition of coal chemical wastewater during the advanced treatment process is crucial for enhancing the efficiency of wastewater treatment systems. In this study, the molecular composition and changes in dissolved organic matter (DOM) were analyzed in a typical coal gasification reverse osmosis concentrate during various advanced treatment processes, including flocculation, ultrafiltration, adsorption, and catalytic ozonation, were investigated using conventional water quality analysis, ultraviolet spectroscopy, fluorescence spectroscopy, molecular weight fractionation analysis, organic component fractionation methods, and Fourier-transform ion cyclotron resonance mass spectrometry. After the advanced treatment process, the concentrations of organic pollutants in the effluent decreased significantly, and the final treated effluent COD was reduced to 90 mg/L. Analysis of the molecular weight fractions showed that after treatment, the proportion of low-molecular-weight organic pollutants (<3k Da) in the coal chemical reverse osmosis concentrate exceeded 50 %. The mass-to-charge ratio of organics in wastewater ranged between 100 and 800, most DOM molecules were unsaturated reduced-state recalcitrant organic molecules, and the DOM molecules in wastewater were mainly distributed among lignin-like, condensed aromatic, and protein-like organics. Compared to the other advanced treatment processes, catalytic ozonation efficiently removed refractory ligninlike organics from wastewater. We revealed the characteristics of organic pollutants in coal chemical reverse osmosis concentrates during the advanced treatment process using various characterization methods, which can assist in further exploring the degradation mechanisms of organics in actual wastewater to enhance the efficiency of wastewater treatment units.

关键词： Water quality analysis Coal chemical wastewater Advanced treatment technology Dissolved organic pollutants

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Prediction model for coal chemical wastewater quality after catalytic ozonation process treatment based on deep learning algorithm: Performance evaluation and model comparisons

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PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 2025年 197卷

作者： qin, Yihe Yuan, Run Zhang, Xuewei He, xuwen Dongguan Univ Technol Sch Environm & Civil Engn Dongguan 523808 Peoples R China Tianjin Univ Sch Earth Syst Sci Tianjin 300072 Peoples R China China Univ Min & Technol Sch Chem & Environm Engn Beijing 100083 Peoples R China

In this study, we tested different models for predicting the effluent water quality of coal chemical wastewater treated by the catalytic ozonation process. The optimal model was further modified using the norm feature vector selection methods and intelligent algorithms. The average removal amount and average removal rate of COD in coal chemical wastewater treated by catalytic ozonation process were 223.62 mg/L and 57.98 %, respectively. AAO-pH, AAO-ammonia nitrogen, AAO-total phosphorus, AAO-COD, AAO-total phenol, SST-COD, SST-total phenol, and SST-turbidity were inputs for each model, while the catalytic ozonation-COD was used as the output for each model. We collected 500 samples of one year for the training, validation, and testing of various models. Compared to other models, the RF model had better predictive performance. Additionally, L1 method had a stronger optimization ability for the RF model than L2 method. Compared with BOA and SSA, IGWO had a larger contribution to improving the predictive ability. The L1-RF-IGWO model showed the best predictive ability (test set R2 of 0.8717). The present results can aid coal chemical plants achieve data-driven management of water quality prediction and monitoring, providing ideas for the construction of models for predicting water quality in engineering.

关键词： Predictive model Water quality analysis Coal chemical wastewater Catalytic ozonation

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Optimizing fracturing techniques for enhanced hydrate dissociation in low-permeability reservoirs: Insights from numerical simulation

GAS SCIENCE AND ENGINEERING

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GAS SCIENCE AND ENGINEERING 2024年 125卷

作者： Zhang, Zhaobin Xu, Tao Li, Shouding He, Jianming Li, Xiao Li, Yuxuan Lu, Cheng qin, xuwen Chinese Acad Sci Key Lab Shale Gas & Geoengn Inst Geol & Geophys Beijing 100029 Peoples R China Chinese Acad Sci Innovat Acad Earth Sci Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China Minist Nat Resources China Geol Survey Oil & Gas Resources Survey Beijing 100083 Peoples R China Minist Nat Resources China Geol Survey Guangzhou Marine Geol Survey Guangzhou 510075 Peoples R China

Natural gas hydrate represents an environmentally friendly alternative energy. However, the low-permeability hydrate reservoirs pose significant challenges to commercial production. To optimize hydrate production, reservoir stimulation methods like hydraulic fracturing, gas fracturing, and explosive fracturing are potential. In the investigation of the fracturing effect on hydrate dissociation behavior, we developed a three-dimensional model that comprehensively incorporates the arrangement of fracture planes, encompassing fracture permeability, spacing, and height. The model was implemented using a self-developed hydrate simulator which was validated at multiple scales. We firstly conducted a comparative analysis, contrasting the conventional depressurization method in horizontal wells with a combined depressurization and fracturing method. The comparison suggested that fracturing brings significant promotion (113.5%) on hydrate dissociation. Sensitivity analysis revealed fracture permeability and fracture height evidently exhibit an optimal value that facilitates the dissociation behavior. The optimal value of fracture permeability is dependent on the geological background. The optimal value of fracture height occurs just before penetrating the hydrate-bearing sediment layer and the overlying/underlying formations, i.e., near the thickness of the hydrate-bearing sediment layer. The impact of spacing on gas volume is limited while decreasing the spacing leads to more evident localized dissociation and differential subsidence of hydrate reservoir. It is necessary to balance production and geological risks when selecting the fracture spacing. The conclusions suggest that the fracturing operation need to be optimized by controlling the injection rate and the fracturing interval. It is not advisable to blindly pursue the effectiveness of reservoir stimulation but rather to consider the geological conditions. Additionally, we have found that it is preferable to establis

关键词： Numerical simulation Hydrate Fracturing Sensitivity analysis

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Comparative Evaluation of Thermal Stimulation Techniques for Natural Gas Hydrate Production

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ENERGY & FUELS 2024年第18期38卷 17674-17686页

作者： Zhang, Zhaobin Li, Yuxuan Li, Shouding He, Jianming Xie, Zhuoran Li, Xiao Lu, Cheng qin, xuwen Chinese Acad Sci Key Lab Shale Gas & Geoengn Inst Geol & Geophys Beijing 100029 Peoples R China Chinese Acad Sci Innovat Acad Earth Sci Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China China Geol Survey Minist Nat Resources Oil & Gas Resources Survey Beijing 100083 Peoples R China China Geol Survey Minist Nat Resources Beijing 100037 Peoples R China

The issue of thermal loss during the depressurization extraction of natural gas hydrates has long been a significant challenge for achieving long-term stable production. In the context of thermal stimulation extraction, researchers have proposed four injection methods: hot water injection, steam injection, wellbore electric heating, and low-frequency electric heating, and have conducted relevant studies. However, a comprehensive evaluation comparing the advantages and disadvantages of these four thermal stimulation extraction methods is still lacking. This research, using a self-developed hydrate numerical simulator, constructed extraction class III hydrate deposits models for the four injection methods and conducted long-term extraction simulations over a period of five years. The results indicate that low-frequency electric heating significantly enhances extraction efficiency under various permeability reservoir conditions. Its ability to achieve a large heating range and provide wellbore protection confers distinct advantages. In contrast, the hot water injection method imposes stringent requirements on reservoir permeability. Both steam injection and wellbore electric heating exhibit notable similarities in multiple physical fields and fluid production outcomes. This study offers valuable insights and reference points for the selection of thermal stimulation methods in future hydrate extraction engineering.

关键词： Hydrates

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Catalytic ozonation process for treating coking biochemical wastewater based on an Fe-Mn/Al2O3 catalyst

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COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS 2025年 713卷

作者： qin, Yihe Yuan, Run Luo, Shaojun Huang, Haiming He, xuwen Dongguan Univ Technol Sch Environm & Civil Engn Dongguan 523808 Peoples R China Tianjin Univ Sch Earth Syst Sci Tianjin 300072 Peoples R China China Univ Min & Technol Sch Chem & Environm Engn Beijing 100083 Peoples R China

Catalysts with high catalytic performance are crucial for the catalytic ozonation of organic wastewater. This study synthesized an efficient, stable, and practical Fe-Mn/Al2O3 ozone catalyst for wastewater treatment using an impregnation calcination method, and applied it in the catalytic ozonation of wastewater. When the concentration of manganese nitrate was 0.15 mol/L, the Mn/Fe ratio was 3:1, the immersion time was 24 h, the calcination temperature was 500 degrees C, and the calcination time was 4 h, the prepared Fe-Mn/Al2O3 had the best catalytic effect on simulated wastewater, with a chemical oxygen demand (COD) removal efficiency of 73.6 %. At the same time, the physicochemical properties of the catalyst were investigated, and the catalytic effect of the catalyst on actual coking wastewater was investigated on a laboratory scale. When the ozone concentration was 20 mg/L, the gas flow rate was 0.5 L/min, the catalyst concentration was 400 g/L, and the pH was 7.02, the actual COD removal efficiency of coking wastewater was 71.6 %. The pilot test results showed that the COD of the treated coking wastewater could stably meet the standard (COD<80 mg/L), with an average COD removal rate of about 58.3 %, indicating that the Fe-Mn/Al2O3 had high catalytic activity and good stability. Kinetic analysis showed that the degradation process of organic pollutants followed the pseudo-second-order kinetic equation. The results of water quality analysis such as conventional water quality indicators, fluorescence spectroscopy, and molecular weight classification indicated that the large molecular organic pollutants were efficiently degraded. Mechanism analysis indicated that the active components of the catalyst reacted with ozone through electron transfer to enhance the ozone utilization efficiency and efficiently remove organic pollutants. This study can provide theoretical support and technical reference for the standardized discharge of coking wastewater in the future.

关键词： Catalytic ozonation Coking wastewater Mechanism exploration Water quality analysis

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