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Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification

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computer Modeling in engineering & sciences 2024年第6期139卷 2605-2625页

作者： Jungpil Shin Md.Al Mehedi Hasan Abu Saleh Musa Miah Kota Suzuki Koki Hirooka School of Computer Science and Engineering The University of AizuAizuwakamatsu965-8580Japan Department of Computer Science&Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh

Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing *** Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Language(JSL)for ***,existing JSL recognition systems have faced significant performance limitations due to inherent *** response to these challenges,we present a novel JSL recognition system that employs a strategic fusion approach,combining joint skeleton-based handcrafted features and pixel-based deep learning *** system incorporates two distinct streams:the first stream extracts crucial handcrafted features,emphasizing the capture of hand and body movements within JSL ***,a deep learning-based transfer learning stream captures hierarchical representations of JSL gestures in the second ***,we concatenated the critical information of the first stream and the hierarchy of the second stream features to produce the multiple levels of the fusion features,aiming to create a comprehensive representation of the JSL *** reducing the dimensionality of the feature,a feature selection approach and a kernel-based support vector machine(SVM)were used for the *** assess the effectiveness of our approach,we conducted extensive experiments on our Lab JSL dataset and a publicly available Arabic sign language(ArSL)*** results unequivocally demonstrate that our fusion approach significantly enhances JSL recognition accuracy and robustness compared to individual feature sets or traditional recognition methods.

关键词： Japanese Sign Language(JSL) hand gesture recognition geometric feature distance feature angle feature GoogleNet

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Hyperbranched polyborosilazanes derived SiBCN ceramic for high-temperature wave-transparent performance

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Journal of Materials science & technology 2024年第29期196卷 162-170页

作者： Zhen Yu Mingwei Ma Ziyu Liu Zhengyi Zhang Chunjia Luo Tiantian Zhang Jie Kong MOE Key Laboratory of Materials Physics and Chemistry in Extraordinary Conditions Shaanxi Key Laboratory of Macromolecular Science and TechnologySchool of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’an 710072China School of Materials Science and Engineering Chang’an UniversityXi’an 710064China

Polymer-derived ceramics(PDCs)is a promising way to prepare ceramic-based electromagnetic functional materials,which can conveniently modulate the composition and dielectric properties of the *** this paper,SiBCN ceramic matrix composites with excellent high-temperature wave-transparent performance were prepared through PDC *** hyperbranched polyborosilazanes(PBSZs)were prepared by adjusting the type of chlorosilane monomers containing different numbers of methyl *** carbon element of pyrolytic ceramics was tuned by adjusting the molecular structure of the precursor and the pyrolysis *** lower the methyl number and pyrolysis temperature,the lower the dielectric constant of the polymer-derived SiBCN ceramics,which is favorable for electromagnetic wave(EMW)*** average EMW transmittance of SiBCN-C pyrolyzed from hyperbranched PBSZ using trichlorosilane at 1000℃ was 90.56%at room *** excitingly,the excellent wave-transparent performance was also maintained in the temperature range of 100-800℃.At the test temperature of 800℃,SiBCN-C-1000 still had excellent wave-transparent performance with minimum and average EMW transmittance of 76.13%and 88.96%,*** paper provided a new idea for the preparation of high-temperature wave-transparent SiBCN composite ceramics.

关键词： Polymer-derived ceramic SiBCN Low carbon content High temperature wave-transparent materials

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A Low-Rank Matching Attention Based Cross-Modal Feature Fusion Method for Conversational Emotion Recognition

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IEEE Transactions on Affective Computing 2024年第2期16卷 1177-1189页

作者： Shou, Yuntao Liu, Huan Cao, xiangyong Meng, Deyu Dong, Bo Xi'An Jiaotong School of Computer Science and Technology Ministry of Education Key Laboratory for Intelligent Networks and Network Security Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Shaanxi Xi'an710049 China Xi'An Jiaotong School of Computer Science and Technology Shaanxi Xi'an710049 China BigKEJoint Innovation Center SHMEEA Shanghai China Xi'An Jiaotong University School of Mathematics and Statistics Xi'an China

Conversational emotion recognition (CER) is an important research topic in human-computer interactions. Although recent advancements in transformer-based cross-modal fusion methods have shown promise in CER tasks, they tend to overlook the crucial intra-modal and inter-modal emotional interaction or suffer from high computational complexity. To address this, we introduce a novel and lightweight cross-modal feature fusion method called Low-Rank Matching Attention Method (LMAM). LMAM effectively captures contextual emotional semantic information in conversations while mitigating the quadratic complexity issue caused by the self-attention mechanism. Specifically, by setting a matching weight and calculating inter-modal features attention scores row by row, LMAM requires only one-third of the parameters of self-attention methods. We also employ the low-rank decomposition method on the weights to further reduce the number of parameters in LMAM. As a result, LMAM offers a lightweight model while avoiding overfitting problems caused by a large number of parameters. Moreover, LMAM is able to fully exploit the intra-modal emotional contextual information within each modality and integrates complementary emotional semantic information across modalities by computing and fusing similarities of intra-modal and inter-modal features simultaneously. Experimental results verify the superiority of LMAM compared with other popular cross-modal fusion methods on the premise of being more lightweight. Also, LMAM can be embedded into any existing state-of-the-art CER methods in a plug-and-play manner, and can be applied to other multi-modal recognition tasks, e.g., session recommendation and humour detection, demonstrating its remarkable generalization ability. © 2024 IEEE.

关键词： Semantics

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Microstructure and corrosion behaviors of friction stir-welded Q235 low-carbon steel joint

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Journal of Iron and Steel Research International 2023年第12期30卷 2517-2530页

作者： Hong-duo Wang Zhi-yong Zhou Kuai-she Wang Wen Wang Peng Han Cheng-wen Zhang Yong-xin Lu Guang Li Yi-di Lu xiao Li Yan-ming Liu xiao-yong Zhang School of Materials Science and Engineering Xi’an Shiyou UniversityXi’an710065ShaanxiChina School of Metallurgical Engineering National and Local Joint Engineering Research Center for Functional Materials ProcessingXi’an University of Architecture and TechnologyXi’an710055ShaanxiChina

Friction stir welding(FSW)was used to prepare Q235 low-carbon steel joint,and the microstructure of different zones of the joint was *** electrochemical corrosion behavior of different macroscopic zones of the joint was evaluated in 3.5 wt.%NaCl *** results showed that the retreated-side heat-affected zone(HAZRS)and the advanced-side heat-affected zone(HAZAS)did not undergo phase transformation during FSW,and their microstructures were similar to those of the base material(BM),which was mainly composed of blocky ferrite and *** retreated-side thermo-mechanical affected zone(TMAZRS),the stirring zone(SZ),and the advanced-side thermo-mechanical affected zone(TMAZAS)underwent phase transformation,and the microstructure was mainly composed of proeutectoid ferrite and *** order of the corrosion resistance of different micro-zones from high to low was:HAZRS>BM>HAZAS>TMAZRS>SZ>*** corrosion mechanism for BM,HAZRS,and HAZAS was mainly the dissolution of *** contrast,the corrosion mechanism for TMAZRS,SZ,and TMAZAS was mainly galvanic corrosion between proeutectoid ferrite and pearlite.

关键词： Q235 low-carbon steel Friction stir welding Microstructure Electrochemistry.Corrosion resistance

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FCA-based θ-iceberg core decomposition in graphs

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Journal of Ambient Intelligence and Humanized Computing 2024年第2期15卷 1423-1428页

作者： Hao, Fei xinchang, Khamphaphone Park, Doo-Soon Key Laboratory of Modern Teaching Technology Ministry of Education Xi’an China School of Computer Science Shaanxi Normal University Xi’an710119 China Department of Computer Science and Engineering Soonchunhyang University Asan31538 Korea Republic of Department of Computer Software Engineering Soonchunhyang University Asan31538 Korea Republic of

Complex networking analysis is a powerful technique for understanding both complex networks and big graphs in ubiquitous computing. Particularly, there are several novel metrics, such as k-clique and k-core are proposed in order to study the relative importance of nodes in complex networks. Among of those metrics, k-core analysis is an effective approach for simplifying graphical structure. However, the relation between k and the scale of networks is not explored in most existing literature. Toward this end, this paper formulate a new research problem, θ-Iceberg Core decomposition in graphs, which is able to incorporate a parameter θ (0 © Springer-Verlag GmbH Germany, part of Springer Nature 2017.

关键词： Formal concept analysis

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Use of coupled TG-FTIR and Py-GC/MS to study combustion characteristics of conveyor belts in coal mines

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Journal of Thermal Analysis and Calorimetry 2023年第11期148卷 4779-4789页

作者： Zhang, Duo Liu, Maoxia Wen, Hu Deng, Jun Wang, Weifeng Shu, Chi-Min School of Safety Science and Engineering Xi’an University of Science and Technology Shaanxi Xi’an710054 China Postdoctoral Research Mobile Station in Mining Engineering Xi’an University of Science and Technology Shaanxi Xi’an710054 China Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology Yunlin Douliou64002 Taiwan

This article lays the groundwork for the prevention and control of coal mine roadway fires, as well as the construction of a mine transportation belt fire early warning system. Through thermogravimetric analysis-Fourier transform infrared spectroscopy, the thermogravimetric changes of coal mine conveyor belts at four heating rates were tested, and seven characteristic temperature points were obtained. The gaseous products released during the belt combustion process were analyzed using pyrolysis–gas chromatography–mass spectrometry, and the combustion reaction process and belt combustion characteristics were investigated. According to the findings, the primary components of the gaseous products emitted during belt combustion were salts, amides, aliphatic hydrocarbons, phthalates, and aromatic hydrocarbons, and these components varied significantly as temperature increased. The belt combustion process was broken down into three phases. In the first stage, dioctyl phthalate molecules escaped, and during this process, carbon–oxygen (C–O) and carbon–carbon (C–C) bonds were broken to generate phthalates, fatty acids, and methane (CH4). In the second stage, conjugated dienes and substituted alkenes generated aromatic hydrocarbons through the Diels–Alder reaction, and the C–O and C–C bonds of the plasticizer (dioctyl phthalate) were continuously cleaved and decarboxylated to generate phthalates, amides, fatty acids, ketones, CO, and H2O (g), whereas CO2 volatilization and fatty acid decarboxylation caused aliphatic hydrocarbons and CO2 to be generated. In the third stage, the phthalates and polyvinyl chloride volatiles generated in the previous stage underwent a reduction–oxidation reaction and were decomposed into aliphatic hydrocarbons, aldehydes, aromatic hydrocarbons, amides, small organic molecules (e.g., benzene, indene, and fluorene), and metal substances that were non-decomposable. © 2023, Akadémiai Kiadó, Budapest, Hungary.

关键词： Thermogravimetric analysis

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Construction of oxygen defective ZnO/ZnFe_(2)O_(4) yolk-shell composite with photothermal effect for tetracycline degradation:Performance and mechanism insight

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Chinese Chemical Letters 2023年第1期34卷 452-456页

作者： Ke Zhang Hongyang Cao Afzal Dar Danqing Li Lina Zhou Chuanyi Wang School of Environmental Science and Engineering Shaanxi University of Science and TechnologyXi’an 710021China

Oxygen vacancy induced photothermal effect is of great significant but lack of adequate attentions for environmental *** this paper,green recyclable ZnO/ZnFe_(2)O_(4) with oxygen vacancy was prepared by a solvothermal-calcination *** UV-vis light capture ability of ZnO/ZnFe_(2)O_(4) microspheres is improved with the multiple light reflections due to the yolk-shell structure,and the oxygen vacancy expands the absorption range of photocatalyst and enhances photothermal *** optimized photocatalyst can heat the solution from room temperature to 70°C within 60 min of visible light illumination,and the light to heat conversion efficiency is achieved by 61.3%.Compared with the degradation efficiency at 20°C,photothermal catalysis achieves a stable degradation in 80 min,and the degradation efficiency is increased by 41.5%.This can be attributed to the fact that light induced thermal energy accelerates the migration of electrons and holes,and promotes the diffusion of free radicals by heating active centers in *** active species contributing to the degradation,in order of importance,are the superoxide radical,hydroxyl radical,hole and *** light-to-thermal assisted photocatalysis with ZnO/ZnFe_(2)O_(4) provides a new sight for the pollution control in the future practical applications.

关键词： Photocatalysis Photothermal Oxygen vacancy Yolk-shell Tetracycline

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High performance receiving and processing technology in satellite beam hopping communication

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Journal of Systems engineering and Electronics 2024年第4期35卷 815-828页

作者： ZHAI Shenghua HUI Tengfei GONG xianfeng ZHANG Zehui GAO xiaozheng YANG Kai School of Communication Engineering Xi’Dian UniversityXian 710126China CAST(China Academy of Space Technology)-Xi’an Institute of Space Radio Technology Xi’an 710010China School of Cyberspace Science and Technology Beijing Institute of TechnologyBeijing 100081China School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China

Beam-hopping technology has become one of the major research hotspots for satellite communication in order to enhance their communication capacity and ***,beam hopping causes the traditional continuous time-division multiplexing signal in the forward downlink to become a burst signal,satellite terminal receivers need to solve multiple key issues such as burst signal rapid synchronization and high-per-formance ***,this paper analyzes the key issues of burst communication for traffic signals in beam hopping sys-tems,and then compares and studies typical carrier synchro-nization algorithms for burst ***,combining the requirements of beam-hopping communication systems for effi-cient burst and low signal-to-noise ratio reception of downlink signals in forward links,a decoding assisted bidirectional vari-able parameter iterative carrier synchronization technique is pro-posed,which introduces the idea of iterative processing into car-rier *** at the technical characteristics of communication signal carrier synchronization,a new technical approach of bidirectional variable parameter iteration is adopted,breaking through the traditional understanding that loop struc-tures cannot adapt to low signal-to-noise ratio burst ***,combining the DVB-S2X standard physical layer frame format used in high throughput satellite communication systems,the research and performance simulation are *** results show that the new technology proposed in this paper can significantly shorten the carrier synchronization time of burst signals,achieve fast synchronization of low signal-to-noise ratio burst signals,and have the unique advantage of flexible and adjustable parameters.

关键词： beam-hopping high throughput satellite high per-formance reception processing

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Textual Data De-Privatization Scheme Based on Generative Adversarial Networks 24th

Textual Data De-Privatization Scheme Based on Generative Adv...

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24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Du, Yanning Xu, Jinnan Zhang, Yaling Wang, Yichuan Wang, Zhoukai School of Computer Science and Engineering Xi’an University of Technology Xi’an China Shaanxi Key Laboratory for Network Computing and Security Technology Xi’an China

ISBN: (纸本)9789819615506

In many fields, such as healthcare, finance, and scientific research, data sharing and collaboration are critical to achieving better outcomes. However, the sharing of personal data often involves privacy risks, so privacy-preserving techniques are needed to ensure data security and privacy. The superior performance and flexibility of generative models in data representation have led to significant progress in the development of data privacy. This paper proposes a textual data de-privatization scheme based on generative adversarial networks that well combines generative adversarial networks with privacy protection. The generated de-privacy data retains the statistical properties of the original data and effectively removes sensitive information. Moreover, feature sorting and reshaping modules are introduced to enable the generator to better capture the relationships between features, thus improving the quality of synthetic data. In this paper, the utility of synthetic data is evaluated from three aspects, including similarity assessment, privacy assessment, and model utility assessment. Experimental results show that this method achieves a good trade-off in terms of textual data privacy protection and data quality maintenance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Generative adversarial networks

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A dynamic incentive and reputation mechanism for energy-efficient federated learning in 6G

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Digital Communications and Networks 2023年第4期9卷 817-826页

作者： Ye Zhu Zhiqiang Liu Peng Wang Chenglie Du School of Computer Science Northwestern Polytechnical UniversityXi'an710072ShaanxiChina School of Cybersecurity Northwestern Polytechnical UniversityXi'an710072ShaanxiChina School of Cyber Engineering Xidian UniversityXi'an710071ShaanxiChina

As 5G becomes commercial,researchers have turned attention toward the Sixth-Generation(6G)network with the vision of connecting intelligence in a green energy-efficient *** learning triggers an upsurge of green intelligent services such as resources orchestration of communication infrastructures while preserving privacy and increasing communication ***,designing effective incentives in federated learning is challenging due to the dynamic available clients and the correlation between clients'contributions during the learning *** this paper,we propose a dynamic incentive and reputation mechanism to improve energy efficiency and training performance of federated *** proposed incentive based on the Stackelberg game can timely adjust optimal energy consumption with changes in available clients during federated ***,clients’contributions in reputation management are formulated based on the cooperative game to capture the correlation between tasks,which satisfies availability,fairness,and *** simulation results show that the proposed scheme can significantly motivate high-performance clients to participate in federated learning and improve the accuracy and energy efficiency of the federated learning model.

关键词： Federated learning Incentive mechanism Reputation management Cooperative game Stackelberg game Green communication

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