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Comprehensive Review and Analysis on Facial Emotion Recognition:Performance Insights into Deep and Traditional Learning with Current Updates and Challenges

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Computers, Materials & Continua 2025年第1期82卷 41-72页

作者： Amjad Rehman Muhammad Mujahid Alex Elyassih Bayan AlGhofaily Saeed Ali Omer Bahaj artificial Intelligence&Data Analytics Lab College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia MIS Department college of Business Administration Prince Sattam Bin Abdulaziz UniversityAlKharj11942Saudi Arabia

In computer vision and artificial intelligence,automatic facial expression-based emotion identification of humans has become a popular research and industry *** demonstrations and applications in several fields,including computer games,smart homes,expression analysis,gesture recognition,surveillance films,depression therapy,patientmonitoring,anxiety,and others,have brought attention to its significant academic and commercial *** study emphasizes research that has only employed facial images for face expression recognition(FER),because facial expressions are a basic way that people communicate meaning to each *** immense achievement of deep learning has resulted in a growing use of its much architecture to enhance *** review is on machine learning,deep learning,and hybrid methods’use of preprocessing,augmentation techniques,and feature extraction for temporal properties of successive frames of *** following section gives a brief summary of assessment criteria that are accessible to the public and then compares them with benchmark results the most trustworthy way to assess FER-related research topics *** this review,a brief synopsis of the subject matter may be beneficial for novices in the field of FER as well as seasoned scholars seeking fruitful avenues for further *** information conveys fundamental knowledge and provides a comprehensive understanding of the most recent state-of-the-art research.

关键词： Face emotion recognition deep learning hybrid learning CK+ facial images machine learning technological development

Research on Clothing Simulation design Based on Three-Dimensional Image Analysis

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Computers, Materials & Continua 2020年第10期65卷 945-962页

作者： Wenyao Zhu Xue Li Young-Mi Shon college of Engineering Lishui UniversityLishui323000China Department of design Graduate SchoolChosun UniversityGwangju61452Korea Department of Materials Science and Engineering Graduate SchoolChosun UniversityGwangju61452Korea design Division College Art&DesignChosun UniversityGwangju61452Korea

Traditional clothing design models based on adaptive meshes cannot *** solve this problem,a clothing simulation design model based on 3D image analysis technology is *** model uses feature extraction and description of image evaluation parameters,and establishes the mapping relationship between image features and simulation results by using the optimal parameter values,thereby obtaining a three-dimensional image simulation analysis *** the basis of this model,by obtaining the response results of clothing collision detection and the results of local adaptive processing of clothing meshes,the cutting form and actual cutting effect of clothing are determined to construct a design *** simulation results show that compared with traditional clothing design models,clothing simulation design based on 3D image analysis technology has a better effect,with the definition of fabric folds increasing by 40%.More striking contrast between light and dark,the resolution increasing by 30%,and clothing details getting a more real manifestation.

关键词： 3D image analysis clothing simulation feature extraction optimal solution mapping relationship collision detection grid layout cutting effect

Comparative Study on the Properties of Inorganic Silicate and Organic Phenolic Prepolymer Modified Poplar Wood by Vacuum Cycle Pressurization

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Journal of Renewable Materials 2022年第9期10卷 2451-2463页

作者： Pengfei Guan Ping Li Yiqiang Wu Xingong Li Guangming Yuan Yingfeng Zuo college of Materials Science and Engineering Central South University of Forestry and TechnologyChangsha410004China college of Furniture and art design Central South University of Forestry and TechnologyChangsha410004China

To enhance mechanical properties and improve flame retardancy and smoke suppression of fast-growing poplar wood in wood applications,the wood was impregnated and *** organic phenolic prepolymer and inorganic sodium silicate was used as contrasting impregnation modifiers and wood samples were impregnated by a bionic“respiration”method with alternating positive and negative *** weight percentage gain,density increase ratio,mechanical properties(bending and compressive strength and hardness),and water absorption rate of inorganic and organic-impregnated modified poplar wood(IIMPW and OIMPW,respectively)were compared and these properties in IIMPW were found to be higher than those of OIMPW with the exception of the water absorption rate which was lower than the *** was attributed to the superior absorption of sodium silicate that also improved the impregnation,reinforcement,and dimensional stability in the *** chemical structure,crystalline structure,internal morphology,flame retardancy,smoke suppression,and thermal stability of IIMPW and OIMPW were characterized by FT-IR,XRD,SEM,CONE,and ***-IR and XRD results showed that,although IIMPW cellulose crystallinity reduced the most,more chemical bonds were come into being in IIMPW,which explained the better physical and mechanical properties of *** with OIMPW,IIMPW had better flame retardant and smoke suppression performance.

关键词： Poplar wood sodium silicate impregnation modification mechanical properties dimensional stability flame retardancy and smoke suppression

Selecting the Technology of Sodium Silicate Modified Poplar with the Highest Performance by Fuzzy Orthogonal Method

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Journal of Renewable Materials 2023年第5期11卷 2399-2415页

作者： Xiaoqian Bi Pengfei Guan Ping Li Yuan Zhang Xingong Li Yingfeng Zuo college of Materials Science and Engineering Central South University of Forestry and TechnologyChangsha410004China college of Furniture and art design Central South University of Forestry and TechnologyChangsha410004China

Sodium silicate modification can improve the overall performance of *** modification process has a great influence on the properties of modified *** this study,a new method was introduced to analyze the wood modification process,and the properties of modified wood were *** wood was modified with sodium silicate by vacuum-pressure *** screening using single-factor experiments,an orthogonal experiment was carried out with solution concentration,impregnation time,impregnation pressure,and the cycle times as experimental *** modified poplar with the best properties was selected by fuzzy mathematics and characterized by SEM,FT-IR,XRD and *** results showed that some lignin and hemicellulose were removed from the wood due to the alkaline action of sodium silicate,and the orderly crystal area of poplar became disorderly,resulting in the reduction of crystallinity of the modified poplar ***-IR analysis showed that sodium silicate was hydrolyzed to form polysilicic acid in wood,and structural analysis revealed the formation of Si-O-Si and Si-O-C,indicating that sodium silicate reacted with fibers on the wood cell ***-DTG curves showed that the final residual mass of modified poplar wood increased from 25%to 67%,and the temperature of the maximum loss rate decreased from 343℃ to 276℃.The heat release and smoke release of modified poplar wood decreased *** kind of material with high strength and fire resistance can be used in the outdoor building and indoor furniture.

关键词： Poplar wood sodium silicate impregnation modification fuzzy orthogonal method process optimization flame retardant

Environmental Protection and Energy Color Changing Clothing design under the Background of Sustainable Development

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Journal of Renewable Materials 2022年第11期10卷 2717-2728页

作者： Jingyu Dai Hongyu Dai Yutong Xie T.Indumathi college of art design and Media Sanda UniversityShanghai201209China Data science institute Vanderbilt UniversityNashville37212USA Center of art Education Shanghai University of Medicine&Health SciencesShanghai201318China PSG college of Technology Coimbatore641004India

In order to promote the application of clean energy technology in clothing and promote the integration of industrial development and artificial intelligence wearable technology,this study elaborates the energy application characteristics of intelligent wearable products at home and abroad and its application in different fields,aiming at the current research status of wearable technology in the field of textile and *** wearable distributed generation technology is classified,and a creative clothing design for detecting climate temperature is *** on the monitoring of body temperature,the changes in clothing pattern color can reflect people’s health and emotional *** the same time,it can also be applied to the screening of abnormal body temperature during the COVID-19.

关键词： Clean energy temperature variable materials wearable clothing design

A Multi-Task Learning Framework for Joint Sub-Nyquist Wideband Spectrum Sensing and Modulation Recognition

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China Communications 2025年第1期22卷 128-138页

作者： Dong Xin Stefanos Bakirtzis Zhang Jiliang Zhang Jie Department of Electronic and Electrical Engineering University of SheffieldSheffield S102TNUnited Kingdom Department of Computer Science and Technology University of CambridgeCambridge CB21TNUnited Kingdom college of Information Science and Engineering Northeastern UniversityShenyang 110819China Ranplan Wireless Network design Ltd. Cambridge CB233UYUnited Kingdom

The utilization of millimeter-wave frequencies and cognitive radio(CR)are promising ways to increase the spectral efficiency of wireless communication ***,conventional CR spectrum sensing techniques entail sampling the received signal at a Nyquist rate,and they are not viable for wideband signals due to their high *** paper expounds on how sub-Nyquist sampling in conjunction with deep learning can be leveraged to remove this *** this end,we propose a multi-task learning(MTL)framework using convolutional neural networks for the joint inference of the underlying narrowband signal number,their modulation scheme,and their location in a wideband *** demonstrate the effectiveness of the proposed framework for real-world millimeter-wave wideband signals collected by physical devices,exhibiting a 91.7% accuracy in the joint inference task when considering up to two narrowband signals over a wideband ***,the proposed data-driven approach enables on-the-fly wideband spectrum sensing,combining accuracy,and computational efficiency,which are indispensable for CR and opportunistic networking.

关键词： automated modulation classification cognitive radio convolutional neural networks deep learning spectrum sensing sub-Nyquist sampling

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GPIO-Based Continuous Sliding Mode Control for Networked Control Systems Under Communication Delays With Experiments on Servo Motors

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 99-113页

作者： Kamal Rsetam Zhenwei Cao Zhihong Man Xian-Ming Zhang the School of Software and Electrical Engineering Swinburne University of Technology the Department of Automated Manufacturing Al Khwarizmi College of Engineering University of Baghdad IEEE

To handle input and output time delays that commonly exist in many networked control systems(NCSs), a new robust continuous sliding mode control(CSMC) scheme is proposed for the output tracking in uncertain single input-single-output(SISO) networked control systems. This scheme consists of three consecutive steps. First, although the network-induced delay in those systems can be effectively handled by using Pade approximation(PA), the unmatched disturbance cames out as another difficulty in the control design. Second, to actively estimate this unmatched disturbance, a generalized proportional integral observer(GPIO) technique is utilized based on only one measured state. Third, by constructing a new sliding manifold with the aid of the estimated unmatched disturbance and states, a GPIO-based CSMC is synthesized, which is employed to cope with not only matched and unmatched disturbances, but also networkinduced delays. The stability of the entire closed-loop system under the proposed GPIO-based CSMC is detailedly *** promising tracking efficiency and feasibility of the proposed control methodology are verified through simulations and experiments on Quanser's servo module for motion control under various test conditions.

关键词： Continuous sliding mode control (CSMC) generalized proportional integral observer (GPIO) networked control systems (NCSs) pade approximation (PA) time-delay unsmatched disturbances

Enhanced oxygen reduction reaction on La-Fe bimetal in porous N-doped carbon dodecahedra with CNTs wrapping

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Chinese Chemical Letters 2025年第1期36卷 618-622页

作者： Yi Zhou Yanzhen Liu Yani Yan Zonglin Yi Yongfeng Li Cheng-Meng Chen college of Biomedical Engineering Taiyuan University of TechnologyTaiyuan 030024China CAS Key Laboratory of Carbon Materials Institute of Coal ChemistryChinese Academy of SciencesTaiyuan 030001China college of Materials Sciences and Opto-Electronic Technology University of Chinese Academy of SciencesBeijing 100049China

The oxygen reduction reaction(ORR)is a crucial process in Zn-air systems,and the catalyst plays a significant role in this ***,reported catalysts often suffer from poor durability and stability during the ORR ***,we synthesized La-Fe bimetallic nanoparticles encapsulated in a N-doped porous carbon dodecahedron(La-Fe/NC)originated from ZIF-8 by a simple direct *** La-Fe/NC catalyst had a numerous mesopores and dendritic outer layer generated by carbon nanotubes(CNTs),forming a high conductivity network that helped to optimize electron transfer and mass transport in the ORR *** effect of different doping transition metals and metal ratios on the ORR activity of Zn-air batteries was *** alkaline media,the La-Fe/NC showed the highest ORR catalytic activity,with a half-wave potential(E_(1/2))of 0.879 V(***,Pt/C 0.845 V).After 5000 cycles,the E_(1/2)of the La-Fe/NC catalyst only decreased by 7 m V,and its performance in stability tests and methanol tolerance tests was superior to Pt/*** used as the air electrode in a Zn-air battery,the La-Fe/NC catalyst demonstrated an excellent specific capacity of 755 m Ah/g and a peak power density of179.8 m W/cm~*** results provide important insights for the development of high-performance Zn-air batteries and new directions for the design of ORR catalysts.

关键词： Electrocatalyst ORR Bimetallic nanoparticle Dendritic CNTs Zn-air battery

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Graphene oxide-silver/cotton fiber fabric with anti-bacterial and anti-UV properties for wearable gas sensors

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Frontiers of Materials Science 2021年第3期15卷 406-415页

作者： Xia HE Qingchun LIU Ying ZHOU Zhan CHEN Chenlu ZHU Wanhui JIN School of art and design Zhejiang Sci-Tech UniversityHangzhou 310018China School of art design Zhejiang A&F UniversityHangzhou 311300China college of Textile Science and Engineering Zhejiang Sci-Tech UniversityHangzhou 310018China Hubei Province Fiber Inspection Bureau Wuhan 430061China

Wearable gas sensors can improve early warning provision for workers in special worksites and can also be used as flexible electronic ***,the flexible multifunctional gas sensor was prepared by grafting graphene oxide(GO)-Ag onto cotton fabric after *** maximum bacterial inhibition rate of GO-150/cotton fabric was 95.6%for *** and 87.6%for ***,while retaining the original high moisture permeability of cotton *** GO/cotton fabric can resist the multiplication of *** the same time,GO can greatly improve the UV protection performance of cotton fabric used in *** increase of the GO concentration,the UV protection ability of composite fabric is ***,GO-Ag/cotton fabric sensors had stable NH3 gassensitive properties and good washing *** conclusion,these cotton fabric sensors with antibacterial properties,UV resistance and highly sensitive gas-sensitive properties have potential applications in wearable early warning devices and textile products.

关键词： cotton fiber fabric graphene oxide conductive silver paste antibacterial property sensing performance

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