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Photonics Research 2024年第4期12卷 865-875页

作者： ZHENGHAO GUO MENGJUN LIU ZIJIA CHEN RUIZHI YANG PEIYUN LI HAIXIA DA DONG YUAN GUOFU ZHOU LINGLING SHUI HUAPENG YE guangdong Provincial key Laboratory of Optical Information Materials and Technology&Institute of Electronic Paper Displays South China Academy of Advanced OptoelectronicsSouth China Normal UniversityGuangzhou 510006China SCNU-TUE Joint Lab of Device Integrated Responsive Materials(DIRM) National Center for International Research on Green OptoelectronicsSouth China Normal UniversityGuangzhou 510006China guangdong Provincial key Laboratory of Nanophotonic Functional Materials and Devices School of Information and Optoelectronic Science and EngineeringSouth China Normal UniversityGuangzhou 510006China Joint Laboratory of Optofluidic Technology and Systems National Center for International Research on Green OptoelectronicsSouth China Academy of Advanced OptoelectronicsSouth China Normal UniversityGuangzhou 510006China College of Electronic and Optical Engineering&College of Microelectronics Nanjing University of Posts and TelecommunicationsNanjing 210046China key Laboratory of Radio Frequency and Micro-Nano Electronics of Jiangsu province Nanjing 210023China

Liquid crystal(LC)photonic devices have attracted intensive attention in recent decades,due to the merits of tunability,cost-effectiveness,and high ***,the precise and efficient simulation of large-scale three-dimensional electrically stimulated LC photonic devices remains challenging and resource *** we report a straightforward nonuniform finite difference method(NFDM)for efficiently simulating largescale LC photonic devices by employing a spatially nonuniform mesh grid.

关键词： nonuniform crystal finite

Analysis on unit maximum capacity of orthogonal multiple watermarking for multimedia signals in B5G wireless communications

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Digital Communications and Networks 2024年第1期10卷 38-44页

作者： Mianjie Li Senfeng Lai Jiao Wang Zhihong Tian Nadra Guizani Xiaojiang Du Chun Shan School of Electronics and Information Guangdong Polytechnic Normal UniversityGuangzhou510665China Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510006China Schoolof Electrical Engineering and Computer Science Washington State UniversityPullmanWA99164USA Department of Computer and Information Science Temple UniversityPhiladelphiaPA19122USA

Beyond-5G(B5G)aims to meet the growing demands of mobile traffic and expand the communication *** that intelligent applications to B5G wireless communications will involve security issues regarding user data and operational data,this paper analyzes the maximum capacity of the multi-watermarking method for multimedia signal hiding as a means of alleviating the information security problem of *** multiwatermarking process employs spread transform dither *** the watermarking procedure,Gram-Schmidt orthogonalization is used to obtain the multiple spreading ***,multiple watermarks can be simultaneously embedded into the same position of a multimedia ***,the multiple watermarks can be extracted without affecting one another during the extraction *** analyze the effect of the size of the spreading vector on the unit maximum capacity,and consequently derive the theoretical relationship between the size of the spreading vector and the unit maximum capacity.A number of experiments are conducted to determine the optimal parameter values for maximum robustness on the premise of high capacity and good imperceptibility.

关键词： B5G Multimedia information security Spread transform dither modulation Spreading vector measurement Unit maximum capacity

Group Decision-Making Method of Entry Policy During a Pandemic

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Tsinghua Science and Technology 2024年第1期29卷 56-65页

作者： Chunsheng Cui Baiqiu Li Xianfeng Chen College of Computer and Information Engineering Henan University of Economics and LawZhengzhou 450046China Tourism College Beijing Union UniversityBeijing 100101China

Omicron,the new mutant coronavirus,has spread rapidly globally,attracting close attention from different stakeholders *** complex and constantly changing epidemic situation has had a new impact on the ***,this paper focuses on the characteristics of the rapid spread of the COVID-19 variant ***,epidemic prevention experts conduct preliminary screening as part of the existing epidemic plan database according to the current local situation,after which they sort the alternatives deemed more suitable for the *** the decision-makers identify the most divergent expert group,plan for consultation and adjustments,and finally obtain the plan with the smallest *** article aims to integrate the experts'opinions with the method of minimizing the differences,which can maximize the expert consensus and help organize the schemes that best meet the epidemic *** experts'negotiation and iteration of the differences in the initial plan align with the current complex and dynamic epidemic situation and are of great significance to the rapid formulation of plans to achieve effective prevention and control.

关键词： epidemic prevention and control group decision-making alternative ranking control policy

Exploring Motor Imagery EEG: Enhanced EEG Microstate Analysis with GMD-Driven Density Canopy Method

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Computers, Materials & Continua 2024年第6期79卷 4659-4681页

作者： Xin Xiong Jing Zhang Sanli Yi Chunwu Wang Ruixiang Liu Jianfeng He Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China College of Physics and Electronic Engineering Hanshan Normal UniversityChaozhou521041China Department of Clinical Psychology Second People’s Hospital of YunnanKunming650021China

The analysis of microstates in EEG signals is a crucial technique for understanding the spatiotemporal dynamics of brain electrical *** methods such as Atomic Agglomerative Hierarchical Clustering(AAHC),K-means clustering,Principal Component Analysis(PCA),and Independent Component Analysis(ICA)are limited by a fixed number of microstate maps and insufficient capability in cross-task feature *** these limitations,this study introduces a Global Map Dissimilarity(GMD)-driven density canopy K-means clustering *** innovative approach autonomously determines the optimal number of EEG microstate topographies and employs Gaussian kernel density estimation alongside the GMD index for dynamic modeling of EEG *** this advanced algorithm,the study analyzes the Motor Imagery(MI)dataset from the GigaScience database,*** findings reveal six distinct microstates during actual right-hand movement and five microstates across other task conditions,with microstate C showing superior performance in all task *** imagined movement,microstate A was significantly *** with existing algorithms indicates a significant improvement in clustering performance by the refined method,with an average Calinski-Harabasz Index(CHI)of 35517.29 and a Davis-Bouldin Index(DBI)average of ***,an information-theoretical analysis of the microstate sequences suggests that imagined movement exhibits higher complexity and disorder than actual *** utilizing the extracted microstate sequence parameters as features,the improved algorithm achieved a classification accuracy of 98.41%in EEG signal categorization for motor imagery.A performance of 78.183%accuracy was achieved in a four-class motor imagery task on the BCI-IV-2a *** results demonstrate the potential of the advanced algorithm in microstate analysis,offering a more effective tool for a deeper understanding of the spatiotemporal features of EE

关键词： EEG microstate motor imagery K-means clustering algorithm gaus sian kernel function shannon entropy Lempel-Ziv complexity

Noise-tolerate and adaptive coefficient zeroing neural network for solving dynamic matrix square root

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 167-177页

作者： Xiuchun Xiao Chengze Jiang Qixiang Mei Yudong Zhang School of Electronics and Information Engineering Guangdong Ocean UniversityZhanjiangChina School of Cyber Science and Engineering Southeast UniversityNanjingChina School of Computing and Mathematical Sciences University of LeicesterLeicesterUK

The solving of dynamic matrix square root(DMSR)problems is frequently encountered in many scientific and engineering *** the original zeroing neural network is powerful for solving the DMSR,it cannot vanish the influence of the noise perturbations,and its constant-coefficient design scheme cannot accelerate the convergence ***,a noise-tolerate and adaptive coefficient zeroing neural network(NTACZNN)is raised to enhance the robust noise immunity performance and accelerate the conver-gence speed ***,the global convergence and robustness of the pro-posed NTACZNN are theoretically analysed under an ideal environment and noise-perturbed ***,some illustrative simulation examples are designed and performed in order to substantiate the efficacy and advantage of the NTACZNN for the DMSR problem *** with some existing ZNNs,the proposed NTACZNN possesses advanced performance in terms of noise tolerance,solution accuracy,and convergence rate.

关键词： adaptive intelligent systems neural network real-time systems

Sentiment Analysis Using E-Commerce Review keyword-Generated Image with a Hybrid Machine Learning-Based Model

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Computers, Materials & Continua 2024年第7期80卷 1581-1599页

作者： Jiawen Li Yuesheng Huang Yayi Lu Leijun Wang Yongqi Ren Rongjun Chen School of Computer Science Guangdong Polytechnic Normal UniversityGuangzhou510665China Hubei province key Laboratory of Occupational Hazard Identification and Control Wuhan University of Science and TechnologyWuhan430065China

In the context of the accelerated pace of daily life and the development of e-commerce,online shopping is a mainstreamway for consumers to access products and *** understand their emotional expressions in facing different shopping experience scenarios,this paper presents a sentiment analysis method that combines the ecommerce reviewkeyword-generated imagewith a hybrid machine learning-basedmodel,inwhich theWord2Vec-TextRank is used to extract keywords that act as the inputs for generating the related images by generative Artificial Intelligence(AI).Subsequently,a hybrid Convolutional Neural Network and Support Vector Machine(CNNSVM)model is applied for sentiment classification of those keyword-generated *** method validation,the data randomly comprised of 5000 reviews from Amazon have been *** superior keyword extraction capability,the proposedmethod achieves impressive results on sentiment classification with a remarkable accuracy of up to 97.13%.Such performance demonstrates its advantages by using the text-to-image approach,providing a unique perspective for sentiment analysis in the e-commerce review data compared to the existing ***,the proposed method enhances the reliability and insights of customer feedback surveys,which would also establish a novel direction in similar cases,such as social media monitoring and market trend research.

关键词： Sentiment analysis keyword-generated image machine learning Word2Vec-TextRank CNN-SVM

Effectiveness of fecal DNA syndecan-2 methylation testing for detection of colorectal cancer in a high-risk Chinese population

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World Journal of Gastrointestinal Oncology 2024年第4期16卷 1361-1373页

作者： Wen-Feng Luo Yu-Ting Jiao Xiao-Ling Lin Ying Zhao Sheng-Bo Wang Jian Shen Jie Deng Yu-Feng Ye Ze-Ping Han Fang-Mei Xie Jin-Hua He Yu Wan Central Laboratory of Panyu Central Hospital Guangzhou Panyu Central HospitalGuangzhou 511400Guangdong ProvinceChina South China Normal University-Panyu Central Hospital Joint Laboratory of Translational Medical Research Guangzhou Panyu Central HospitalGuangzhou 511400Guangdong ProvinceChina Digestive Disease Center Guangzhou Panyu Central HospitalGuangzhou 511400Guangdong ProvinceChina Shunde Vocational and Technical College Foshan 528300Guangdong ProvinceChina Medical Imaging Institute of Panyu Guangzhou Panyu Central HospitalGuangzhou 511400Guangdong ProvinceChina

BACKGROUND Colorectal cancer(CRC)is among the most prevalent and life-threatening malignancies ***-2 methylation(mSDC2)testing has emerged as a widely used biomarker for early detection of CRC in stool and serum ***(CRC)is among the most prevalent and life-threatening malignancies ***2 testing has emerged as a widely used biomarker for early detection of CRC in stool and serum *** To validate the effectiveness of fecal DNA mSDC2 testing in the detection of CRC among a high-risk Chinese population to provide evidence-based data for the development of diagnostic and/or screening guidelines for CRC in *** A high-risk Chinese cohort consisting of 1130 individuals aged 40-79 years was selected for evaluation via fecal mSDC2 *** and specificity for CRC,advanced adenoma(AA)and advanced colorectal neoplasia(ACN)were ***-risk factors for the incidence of colorectal lesions were determined and a logistic regression model was constructed to reflect the efficacy of the *** A total of 1035 high-risk individuals were included in this study according to established *** them,16 suffered from CRC(1.55%),65 from AA(6.28%)and 189 from non-AAs(18.26%);150 patients were diagnosed with polyps(14.49%).Diagnoses were established based upon colonoscopic and pathological *** of the mSDC2 test for CRC and AA were 87.50%and 40.00%,respectively;specificities were 95.61%for other *** predictive values of the mSDC2 test for CRC,AA and ACN were 16.09%,29.89%and 45.98%,respectively;the negative predictive value for CRC was 99.79%.After adjusting for other high-risk covariates,mSDC2 test positivity was found to be a significant risk factor for the occurrence of ACN(P Our findings confirmed that offering fecal mSDC2 testing and colonoscopy in combination for CRC screening is effective for earlier detection of malignant colorectal lesions in a high

关键词： Colorectal cancer Syndecan-2 DNA methylation Chinese population

Local pointwise convergence of the 3D finite element

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Applied Mathematics(A Journal of Chinese universities) 2023年第2期38卷 210-222页

作者： LIU Jing-hong ZHU Qi-ding College of Science Guangdong University of Petrochemical TechnologyMaoming 525000China School of Mathematics and Statistics Hunan Normal UniversityChangsha 410081China

For an elliptic problem with variable coefficients in three dimensions,this article discusses local pointwise convergence of the three-dimensional(3D)finite ***,the Green's function and the derivative Green's function are ***,some relationship of norms such as L^(2)-norms,W^(1,∞)-norms,and negative-norms in locally smooth subsets of the domainΩis ***,local pointwise convergence properties of the finite element approximation are obtained.

关键词： nite element local convergence Green's function

Internal Defects Detection Method of the Railway Track Based on Generalization Features Cluster Under Ultrasonic Images

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Chinese Journal of Mechanical Engineering 2022年第5期35卷 364-381页

作者： Fupei Wu Xiaoyang Xie Jiahua Guo Qinghua Li key Laboratory of Intelligent Manufacturing Technology Ministry of EducationShantou UniversityShantou 515063China

There may be several internal defects in railway track work that have different shapes and distribution rules,and these defects affect the safety of high-speed *** reliable detection models and methods for these internal defects remains a challenging *** address this challenge,in this study,an intelligent detection method based on a generalization feature cluster is proposed for internal defects of railway ***,the defects are classified and counted according to their shape and location ***,generalized features of the internal defects are extracted and formulated based on the maximum difference between different types of defects and the maximum tolerance among same defects’***,the extracted generalized features are expressed by function constraints,and formulated as generalization feature clusters to classify and identify internal defects in the railway ***,to improve the detection reliability and speed,a reduced-dimension method of the generalization feature clusters is presented in this *** on this reduced-dimension feature and strongly constrained generalized features,the K-means clustering algorithm is developed for defect clustering,and good clustering results are *** the defects in the rail head region,the clustering accuracy is over 95%,and the Davies-Bouldin index(DBI)index is negligible,which indicates the validation of the proposed generalization features with strong *** results prove that the accuracy of the proposed method based on generalization feature clusters is up to 97.55%,and the average detection time is 0.12 s/frame,which indicates that it performs well in adaptability,high accuracy,and detection speed under complex working *** proposed algorithm can effectively detect internal defects in railway tracks using an established generalization feature cluster model.

关键词： Railway track Generalization features cluster Defects classification Ultrasonic image Defects detection

A porous biochar supported nanoscale zero-valent iron material highly efficient for the simultaneous remediation of cadmium and lead contaminated soil

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Journal of Environmental Sciences 2022年第3期34卷 231-241页

作者： Wei Qian Jing-Yi Liang Wen-Xuan Zhang Shi-Ting Huang Zeng-Hui Diao guangdong Provincial Engineering and Technology Research Center for Agricultural Land Pollution Prevention and Control Zhongkai University of Agriculture and EngineeringGuangzhou 510225China

Risk associated with heavy metals in soil has been received widespread *** this study,a porous biochar supported nanoscale zero-valent iron(BC-nZVI)was applied to immobilize cadmium(Cd)and lead(Pb)in clayey *** results indicated that the immobilization of Cd or Pb by BC-nZVI process was better than that of BC or nZVI process,and about 80%of heavy metals immobilization was obtained in BC-nZVI *** of BC-nZVI could increase soil pH and organic matter(SOM).Cd or Pb immobilization was inhibited with coexisting organic compound 2,4-dichlorophenol(2,4-DCP),but 2,4-DCP could be removed in a simultaneous manner with Cd or Pb immobilization at low concentration *** immobilization of Cd and Pb was achieved in BC-nZVI process,and both Cd and Pb availability significantly *** Cd species inculding Cd(OH)_(2),CdCO_(3)and CdO were formed,whereas stable Pb species such as PbCO_(3),PbO and Pb(OH)_(2)were produced with BC-nZVI *** immobilization mechanism of Cd and Pb in soil by BC-nZVI was thereby *** study well demonstrates that BC-nZVI has been emerged as a potential technology for the remediation of multiple heavy metals in soil.

关键词： Cadmium(Cd) Lead(Pb) Biochar Nano zero valent iron(nZVI) Contaminated soil