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7th International Conference on Computer Information science and Application Technology, CISAT 2024

作者： Wang, Chundong Yang, Yuhan Lin, Hao Han, Lu Tianjin University of Technology School of Computer Science and Engineering National Engineering Laboratory for Computer Virus Prevention and Control Technology Tianjin China

ISBN: (纸本)9798350375107

At the intersection of personality psychology, computer science, and linguistics, more and more researchers are paying attention to personality detection based on content analysis of texts on social media. However, existing social text-based personality detection methods rely heavily on pre-trained language models, overlook multi-dimensional sentiment in social texts, and lack of effective feature selection of psycholinguistic features. To address these limitations, we propose a method for Myers-Briggs type indicator (MBTI) personality detection. Our approach extracts and selects high-dimensional psycholinguistic feature, utilizes an optimal intermediate layer output from pre-trained language models for semantic representation, and fuses these features to enhance detection accuracy. The experiment results indicate that our proposed method improves the state-of-art results for MBTI personality traits by 1.65% on average on Kaggle MBTI dataset. © 2024 IEEE.

关键词： Psychoacoustic

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Dense Small Object Tracking via DeepSort Integrated with YOLOv.X-based Detection 13

Dense Small Object Tracking via DeepSort Integrated with YOL...

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13th International Conference on control, Automation and Information sciences, ICCAIS 2024

作者： Zhang, Mengfan Liu, Weifeng Xia, Xingyu School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi'an China School of Automation Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9798331542047

In order to address the problem of incomplete feature extraction, missed tracking, and incorrect tracking in dense small object tracking tasks, This paper proposes a DeepSort method based on YOLOv.X for input detection. This method uses YOLOv5 as the detection input for DeepSort to obtain more complete detection box information for dense small objects;Then, the feature extraction and fusion parts in YOLOv5 are reused to replace the appearance feature extraction network in DeepSort, improving the algorithm's performance in extracting features from dense small objects;On this basis, the CIoU algorithm is used as a measure of the correlation between unmatched detection boxes and unmatched prediction boxes during the tracking process to avoid unnecessary trajectory loss. The experimental results show that compared with the original DeepSort tracking algorithm, the improved algorithm improved the MOTA index by 3.6%, the MOTP index by 2.9%, and reduced the error ID conversion index by 269 times. © 2024 IEEE.

关键词： Object tracking

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Sustainable materials systems for triboelectric nanogenerator

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SusMat 2024年第6期4卷 85-138页

作者： Yijun Hao Chuguo Zhang Wei Su Hongke Zhang Yong Qin Zhong Lin Wang Xiuhan Li School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijingChina State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijingChina School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGeorgiaUSA

Benefiting fromthe high sensitivity and electromechanical conversion efficiency,triboelectric nanogenerators(TENGs)are widely used in various fields of selfpowered sensing and mechanical energy harvesting,which have great potential for application in future smart Internet of *** development of sustainable triboelectric materials with high-performance has a vital impact on the construction of TENG devices that combine high-output performance and environmental friendliness,which have a positive impact on the sustainable development of *** review systematically and comprehensively summarizes the latest research work on TENG’s sustainable ***,an overall overview is provided based on the composition of the materials,including amino acids,polysaccharides,and synthetic polymer,and the representative research works are further classified and summarized in *** addition,the latest research progress of TENG with sustainable materials in the fields of self-powered sensing and mechanical energy harvesting applications is also ***,the overviews are provided for the various challenges in the current development of TENG’s sustainable material,and the related outlooks are offered on the corresponding development strategies and directions of this field in the future.

关键词： amino acids polysaccharides sustainable materials synthetic polymers triboelectric nanogenerators

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A Study on the Thermal Deformation Prediction Model of a Motorized Spindle Based on Swarm Intelligence Optimization Algorithms 7

A Study on the Thermal Deformation Prediction Model of a Mot...

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7th IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2024

作者： Wei, Wei Wang, Ruizhe Department of Information and Control Engineering Shenyang Institute of Science and Technology Shenyang China School of Electrical Engineering Suihua University Suihua China

ISBN: (纸本)9798350350760

Thermal deformation of the motorized spindle significantly impacts the machining accuracy of CNC machine tools. The thermal expansion coefficient, a critical parameter affecting thermal deformation, is highly nonlinear, making it challenging to determine an accurate coefficient that enhances machining precision. This study proposes a thermal deformation model for the motorized spindle based on an improved Grasshopper Optimization Algorithm, aimed at optimizing the thermal expansion coefficient. Experimental studies were conducted on the motorized spindle at various rotational speeds. The results demonstrate that the thermal expansion coefficient obtained using the improved Grasshopper Optimization Algorithm yields more accurate predictions of thermal deformation, with smaller errors compared to actual measurements, than those obtained using an empirical thermal expansion coefficient. ©2024 IEEE.

关键词： Swarm intelligence

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Experimental study on permeability evolution of deep high-stressed coal under major horizontal stress unloading paths

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International Journal of Mining science and Technology 2024年第11期34卷 1495-1508页

作者： Chao Liu Jiahao Zhang Songwei Wu Jinghua Qi Beichen Yu Liang Wang School of Mechanics and Civil Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory of Mining Disaster Prevention and Control Ministry of EducationShandong University of Science and TechnologyQingdao 266590China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and TechnologyXuzhou 221116China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China

Both bulk stress(σ_(i i))and stress path(SP)significantly affect the transportation characteristics of deep gas during reservoir pressure ***,the experimental study of horizontal stress unloading on seepage behavior of gas-bearing coal under constantσi i-constraints is *** results show that coal permeability is affected by horizontal stress anisotropy(σ_(H)≠σh),and the contribution of minor horizontal stress to permeability is related to the differential response of horizontal *** slippage phenomenon is prominent in deep high-stress regime,especially in low reservoir pressure.σ_(i i)and SP jointly determine the manifestation of slippage effect and the strength of stress sensitivity(γ)of *** reservoir implies an incremental percentage of slip-based permeability,and SP weakens the slippage effect by changing the elastic–plastic state of ***,γis negatively correlated with slippage *** the Walsh model,narrow(low aspect-ratio)fractures within the coal under unloading SP became the main channel for gas seepage,and bring the effective stress coefficient of permeability(χ)less than 1 for both low-stress elastic and high-stress damaged *** the raise of the effective stress,the effect of pore-lined clay particles on permeability was enhanced,inducing an increase inχfor highstress elastic coal.

关键词： True triaxial stress path Constant bulk stress Horizontal stress Effective stress coefficient of permeability Slippage effect

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Character recognition competition for street view shop signs

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National science Review 2023年第6期10卷 27-31页

作者： Jingqun Tang Weidong Du Bin Wang Wenyang Zhou Shuqi Mei Tao Xue Xing Xu Hai Zhang Shanghai Byte Dance Technology Co. Ltd School of Control Science and Engineering Zhejiang University School of Computer Science and Technology University of Science and Technology of China School of Computer Science and Technology Tsinghua Univeristy Shenzhen Tencent Technology Co. Ltd School of Computer Science and Engineering University of Electronic Science and Technology of China Pazhou Laboratory (Huangpu) School of Mathematics Northwest University

INTRODUCTION Store signboards provide important information in street view images,andcharacter recognition in natural scenes is an important research direction in computer *** view store signboard character recognitio...

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HUID:DBN-Based Fingerprint Localization and Tracking System with Hybrid UWB and IMU

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China Communications 2023年第2期20卷 139-154页

作者： Junchang Sun Rongyan Gu Shiyin Li Shuai Ma Hongmei Wang Zongyan Li Weizhou Feng School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Peng Cheng Laboratory Shenzhen 518055China School of Information and Communications Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

High-precision localization technology is attracting widespread attention in harsh indoor *** this paper,we present a fingerprint localization and tracking system to estimate the locations of the tag based on a deep belief network(DBN).In this system,we propose using coefficients as fingerprints to combine the ultra-wideband(UWB)and inertial measurement unit(IMU)estimation linearly,termed as a HUID *** particular,the fingerprints are trained by a DBN and estimated by a radial basis function(RBF).However,UWB-based estimation via a trilateral method is severely affected by the non-line-of-sight(NLoS)problem,which limits the localization *** tackle this problem,we adopt the random forest classifier to identify line-of-sight(LoS)and NLoS ***,we adopt the random forest regressor to mitigate ranging errors based on the identification results for improving UWB localization *** experimental results show that the mean square error(MSE)of the localization error for the proposed HUID system reduces by 12.96%,50.16%,and 64.92%compared with that of the existing extended Kalman filter(EKF),single UWB,and single IMU estimation methods,respectively.

关键词： Ultra-wideband(UWB) inertial measurement unit(IMU) fingerprints positioning NLoS identification estimated errors mitigation deep belief network(DBN) radial basis function(RBF)

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Transfer Learning from Vision Transformer to Parkinson's Disease Offline Handwriting Detection 11

Transfer Learning from Vision Transformer to Parkinson's Dis...

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11th IEEE International Conference on Behavioural and Social Computing, BESC 2024

作者： Liang, Huaixin Zhang, Tao Li, Lin Liu, Bo Liu, Bin Shi, Chen Mi, BaoHong School of information science and engineering Yanshan University Physical and Chemical Laboratory Qinhuangdao Center for Disease Control and Prevention Qinhuangdao China School of Information Science and Engineering Yanshan University Qinhuangdao China Qinhuangdao Center for Disease Control and Prevention Qinhuangdao China Quality Control Section Qinhuangdao Center for Disease Control and Prevention Beijing China University of Traditional Chinese Medicine The Third Affiliated Hospital of Beijing Beijing China

ISBN: (纸本)9798331531904

Handwriting has emerged as a crucial method for detecting Parkinson's disease (PD). The use of offline handwriting images eliminates the need for special equipment, making it more adaptable for PD detection. This paper presents a Transfer Learning from Vision Transformer (TLViT) approach for offline handwriting PD detection. Transfer learning addresses the issue of limited sample size in Parkinson's offline handwriting images. Additionally, the multi-head attention module in Vision Transformer allows the network to focus more accurately on changes in handwriting within offline images. To enhance overall model prediction performance, this paper combines these advantages to successfully complete the task of PD detection. Experiments conducted on three handwriting datasets validate the effectiveness of the proposed method. The TLViT method achieves 97.31% accuracy for Spiral tasks in the NewHandPD dataset and an average accuracy of 96.96% across all tasks within that dataset. These results demonstrate that the proposed method improves prediction performance and efficiency compared to existing methods. In conclusion, the TLViT method offers a novel and powerful tool for detecting PD through offline handwriting images.' © 2024 IEEE.

关键词： Neurodegenerative diseases

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Developing“precise-acting”strategies for improving anaerobic methanogenesis of organic waste:Insights from the electron transfer system of syntrophic partners

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Frontiers of Environmental science & engineering 2022年第6期16卷 91-94页

作者： Lei Li Shijie Yuan Chen Cai Xiaohu Dai State Key Laboratory of Pollution Control and Resources Reuse School of Environmental Science and EngineeringTongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China

Methanogenesis is the last step in anaerobic digestion,which is usually a rate-limiting step in the biological treatment of organic *** low methanogenesis efficiency(low methane production rate,low methane yield,low methane content)substantially limits the development of anaerobic digestion *** pretreatment methods and bio-stimulation strategies have impacts on the entire anaerobic system and cannot directly enhance methanogenesis in a targeted manner,which was defined as“broad-acting”strategies in this ***,we discussed our opinion of methanogenesis process with insights from the electron transfer system of syntrophic partners and provided potential targeted enhancing strategy for high-efficiency electron transfer ***“precise-acting”strategies are expected to achieve an efficient methanogenesis process and enhance the bio-energy recovery of organic waste.

关键词： Methanogenesis Anaerobic digestion Enhancing strategy Electron transfer Organic waste

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Distributed Cooperative control for Human-Unmanned Aerial Vehicle Swarm Teaming in Target Tracking∗

Distributed Cooperative Control for Human-Unmanned Aerial Ve...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： He, Hangxuan Huo, Mengzhen Duan, Haibin School of Automation Science and Electrical Engineering Beihang University Beijing100083 China School of Automation Science and Electrical Engineering Beihang University Science and Technology on Aircraft Control Laboratory Beijing100083 China

ISBN: (纸本)9781665481090

Over the last decade, the relationship between humans and cyber-physical systems has grown closer, particularly in fields such as manufacturing and transportation. This paper presents a control framework within the engineering domain, wherein a human operator collaborates with a swarm of unmanned aerial vehicles (UAVs) to achieve a shared goal. First, we construct a human-swarm mutual trust model that empowers both parties with a degree of autonomy. Second, we adopt a distributed optimization algorithm integrated with control barrier functions to manage the swarm's motion. The cooperative control framework is demonstrated in a 3D scenario, and simulation results verify the feasibility of the proposed method. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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