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Intelligent 3D garment system of the human body based on deep spiking neural network

虚拟现实与智能硬件（中英文） 2024年第1期6卷 43-55页

作者： Minghua JIANG Zhangyuan TIAN Chenyu YU Yankang SHI Li LIU Tao PENG xinrong hu Feng YU School of Computer and Artificial Intelligence Wuhan Textile UniversityWuhan 430200China Engineering Research Center of hubei Province for Clothing Information Wuhan 430200China

Background Intelligent garments,a burgeoning class of wearable devices,have extensive applications in domains such as sports training and medical rehabilitation.Nonetheless,existing research in the smart wearables domain predominantly emphasizes sensor functionality and quantity,often skipping crucial aspects related to user experience and interaction.Methods To address this gap,this study introduces a novel real-time 3D interactive system based on intelligent garments.The system utilizes lightweight sensor modules to collect human motion data and introduces a dual-stream fusion network based on pulsed neural units to classify and recognize human movements,thereby achieving real-time interaction between users and sensors.Additionally,the system incorporates 3D human visualization functionality,which visualizes sensor data and recognizes human actions as 3D models in real time,providing accurate and comprehensive visual feedback to help users better understand and analyze the details and features of human motion.This system has significant potential for applications in motion detection,medical monitoring,virtual reality,and other fields.The accurate classification of human actions contributes to the development of personalized training plans and injury prevention strategies.Conclusions This study has substantial implications in the domains of intelligent garments,human motion monitoring,and digital twin visualization.The advancement of this system is expected to propel the progress of wearable technology and foster a deeper comprehension of human motion.

关键词： Intelligent garment system Internet of things human action recognition Deep learning 3D visualization

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Circ_0003855 involvement of esophageal cancer progression through miR-622/FLOT1

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Oncology Research 2024年第5期32卷 925-931页

作者： JINGJING TIAN XIBAO hu xinrong ZHANG Department of Gastroenterology Tianjin Nankai HospitalTianjin300100China Department of Digestive Medicine First Teaching Hospital of Tianjin University of Traditional Chinese MedicineTianjin300100China

To confirm the relationship between Circ_0003855 and EC,we purchased the human esophageal carcinoma cell line Eca109 and normal human esophageal epithelial cells HEEC,and the expression levels of Circ_0003855,miR-622,and FLOT1 were detected.The results show that Circ_0003855 and FLOT1 were highly expressed in Eca109 cells,while miR-622 was lowly expressed(p0.05).Synthesizing the results of these experiments above,we believe that interfering with the expression of Circ_0003855 can inhibit the activity of EC cells,and its mechanism is related to miR-622 and FLOT1.

关键词： Circ_0003855 miR-622 FLOT1 Esophageal cancer Cell proliferation

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High fidelity virtual try-on network via semantic adaptation and distributed componentization

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Computational Visual Media 2022年第4期8卷 649-663页

作者： Chenghu Du Feng Yu Minghua Jiang Ailing hua Yaxin Zhao Xiong Wei Tao Peng xinrong hu School of Computer Science and Artificial Intelligence Wuhan Textile UniversityWuhan 430200China Engineering Research Center of hubei Province for Clothing Information Wuhan 430200China

Image-based virtual try-on systems have significant commercial value in online garment shopping.However,prior methods fail to appropriately handle details,so are defective in maintaining the original appearance of organizational items including arms,the neck,and in-shop garments.We propose a novel high fidelity virtual try-on network to generate realistic results.Specifically,a distributed pipeline is used for simultaneous generation of organizational items.First,the in-shop garment is warped using thin plate splines(TPS)to give a coarse shape reference,and then a corresponding target semantic map is generated,which can adaptively respond to the distribution of different items triggered by different garments.Second,organizational items are componentized separately using our novel semantic map-based image adjustment network(SMIAN)to avoid interference between body parts.Finally,all components are integrated to generatethe overall result by SMIAN.A priori dual-modalinformation is incorporated in the tail layers of SMIAN to improve the convergence rate of the network.Experiments demonstrate that the proposed method can retain better details of condition information than current methods.Our method achieves convincing quantitative and qualitative results on existing benchmark datasets.

关键词： virtual try-on conditional image synthesis human parsing thin plate spline semantic adaptation

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Point cloud upsampling generative adversarial network based on residual multi-scale off-set attention

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Virtual Reality & Intelligent Hardware 2023年第1期5卷 81-91页

作者： Bin SHEN Li LI xinrong hu Shengyi GUO Jin huANG Zhiyao LIANG School of Computer and Artificial Intelligence Wuhan Textile UniversityHubei 430200China School of Computer Science and Engineering Macao University of Science and TechnologyMacao China

Background Owing to the limitations of the working principle of three-dimensional(3D) scanning equipment, the point clouds obtained by 3D scanning are usually sparse and unevenly distributed. Method In this paper, we propose a new generative adversarial network(GAN) that extends PU-GAN for upsampling of point clouds. Its core architecture aims to replace the traditional self-attention(SA) module with an implicit Laplacian offset attention(OA) module and to aggregate the adjacency features using a multiscale offset attention(MSOA)module, which adaptively adjusts the receptive field to learn various structural features. Finally, residual links are added to create our residual multiscale offset attention(RMSOA) module, which utilizes multiscale structural relationships to generate finer details. Result The results of several experiments show that our method outperforms existing methods and is highly robust.

关键词： Point cloud upsampling Generative adversarial network Attention

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Integration of serum pharmacochemistry with network pharmacology to reveal the potential mechanism of Yangqing Chenfei formula(养清尘肺方) for the treatment of silicosis

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Journal of Traditional Chinese Medicine 2024年第4期 784-793页

作者： hu Yuanyuan LIU Xinguang ZHAO Peng WU Jinyan YAN Xinhua HOU Runsu WANG Xiangcheng YANG Fan TIAN xinrong LI Jiansheng Longhua Hospital Shanghai University of Traditional Chinese Medicine Shanghai University of Traditional Chinese Medicine Co-construction Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases by Henan and Education Ministry of P.R.China Henan Key Laboratory of Chinese Medicine for Respiratory Disease Henan University of Chinese Medicine

OBJECTIVE: To explore the mechanisms of Yangqing Chenfei formula(养清尘肺方, YCF) in the treatment of silicosis through a comprehensive strategy consisting of serum pharmacochemistry, network pharmacology analysis, and in vitro validation. METHODS: An ultrahigh-performance liquid chromatography-tandem mass spectrometry method was used to confirm the active components in YCF-medicated serum. Then, we obtained targets for active components and genes for silicosis from multiple databases. Furthermore, a protein-protein interaction network was constructed, and Kyoto Encyclopedia of Genes and Genomes pathway and biological process analyses were conducted to elucidate the mechanisms of YCF for the treatment of silicosis. Finally, we validated the important components and mechanisms in vitro. RESULTS: Altogether, 19 active components were identified from rat serum after YCF administration. We identified 724 targets for 19 components, which were mainly related to inflammation [phosphatidy linositol 3 kinase/protein kinase B, forkhead box O, hypoxia inducible factor, and T-cell receptor signaling pathway, nitric oxide biosynthetic process], fibrotic processes [vascular endothelial growth factor signaling pathway, extracellular signal regulated kinase(ERK) 1 and ERK2 cascade, smooth muscle cell proliferation], and apoptosis(negative regulation of apoptotic process). In addition, 218 genes for silicosis were identified and were mainly associated with the inflammatory response and immune process [cytokine-cytokine receptor interaction, tumor necrosis factor alpha(TNF-α), toll-like receptor, and nucleotide binding oligomerization domain-like receptor signaling pathway]. Taking an intersection of active component targets and silicosis genes, we obtained 61 common genes that were mainly related to the inflammatory response and apoptosis, such as the phosphatidylinositol-3-kinase/protein kinase B signaling pathway, mitogen activated protein kinases signaling pathway, TNF signaling pathway, toll-like receptor signaling pathway, biosyn

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Teaching Reform and Practice of Software Engineering Graduate Students by Implanting Scientific Research Literacy into Classroom Teaching Content

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计算机教育 2023年第12期 37-47页

作者： Bangchao Wang Yang Deng Peng Ye xinrong hu Qiang Zhu the School of Computer Science and Artificial Intelligence Wuhan Textile UniversityWuhan430200China

How to cultivate and improve graduate students’innovation and practical abilities in software engineering through the curriculum and teaching mode reform is an important issue.In this paper,a research literacy-driven teaching mode is proposed.It assists in the reform of the curriculum system.Then,a curriculum system construction framework is proposed,which involves the integration of research literacy into classroom teaching content.It assists in the cultivation of research abilities of graduate students in software engineering.The effectiveness of the curriculum reform is demonstrated through questionnaire surveys and research outcomes of the project team.The results show that the methods explored in this paper can serve as valuable references for future course design and teaching practice in computer-related courses for graduates.

关键词： Software engineering Graduate students Scientific research literacy Teaching reform Teaching practice

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二次聚类的无监督行人重识别方法

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计算机工程与应用 2024年第1期60卷 227-235页

作者：熊明福肖应雄陈佳胡新荣彭涛武汉纺织大学计算机与人工智能学院武汉430200 武汉大学国家网络安全学院武汉430072

针对当前无监督行人重识别方法因受到硬件差异、光照变化等客观因素的影响,导致同一行人图像出现较大反差,随之易带来样本错误伪标签生成的问题,使得现有无监督行人重识别方法还有待进一步提升的空间。为了解决此问题,提出了一种基于二... 详细信息

针对当前无监督行人重识别方法因受到硬件差异、光照变化等客观因素的影响,导致同一行人图像出现较大反差,随之易带来样本错误伪标签生成的问题,使得现有无监督行人重识别方法还有待进一步提升的空间。为了解决此问题,提出了一种基于二次重聚类的无监督行人重识别(unsupervised person re-identification based on quadratic clustering)方法。该方法主要包括全局二次聚类的无监督学习模块和基于聚类结果的有监督学习模块。具体来说,前者基于全局二次聚类分别对相机ID和行人身份ID进行无监督分析,解决了同一行人在不同摄像机视角下的统一成像风格问题;后者则采用有监督学习方式改进了内存字典的初始化与更新方式,解决了模型在训练中偏移的问题。通过此双模块的协同训练以共同抑制跨摄像头间采集的图像所产生错误伪标签的问题。所提出的算法分别在Market-1501、DukeMTMC-ReID、MSMT17、Person和VeRi-776数据集上进行实验,取得了mAP=81.2%和rank-1=91.2%、mAP=68.4%和rank-1=78.7%、mAP=31.1%和rank-1=60.4%、mAP=88.3%和rank-1=93.6%的性能,对比当前最先进的方法,分别提高了2.4、1.8、6.0、2.5和4.3个百分点的rank-1准确率。

关键词：行人重识别无监督学习二次聚类协同训练

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融合注意力机制的DeeplabV3+服装图像分割方法

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计算机科学 2024年第S1期51卷 581-587页

作者：肖雅慧张自力胡新荣彭涛张俊武汉纺织大学计算机与人工智能学院武汉430200 湖北省服装信息化工程技术研究中心武汉430200 武汉工程大学计算机科学与工程学院武汉430205

针对在服装图像语义分割中存在由服装颜色、纹理、背景以及多目标遮挡导致的边缘分割粗糙和分割精度低等问题,文中基于Deeplabv3+框架,提出了一种图像语义分割算法(FFDNet)。首先,模型的骨干网络采用ResNet101网络,并添加通道空间注意... 详细信息

针对在服装图像语义分割中存在由服装颜色、纹理、背景以及多目标遮挡导致的边缘分割粗糙和分割精度低等问题,文中基于Deeplabv3+框架,提出了一种图像语义分割算法(FFDNet)。首先,模型的骨干网络采用ResNet101网络,并添加通道空间注意力模块(Feature-Enhanced Attention Module,FEAM),通过对特征图加权来挖掘并增强特征信息,提高网络表达能力。其次引入特征对齐模块(Feature Align Module,FAM)作为一种新的上采样方式,解决不同尺度特征融合之间特征未对齐导致分割错误且效率低的问题,以此提高对服装图像分割的准确性和鲁棒性。最后,FFDNet在Deepfashion2和PASCAL VOC 2012数据集上的平均交并比分别达到55.2%和79.4%;在参数量方面,该模型相比原模型在Deepfashion2上仅增加了0.61 MB。与其他现有经典模型对比,其分割性能更优,能有效捕获图像局部细节信息,减少像素分类错误。

关键词：服装图像语义分割注意力机制 Deeplabv3+网络特征对齐

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New Standardized Cultivation Techniques for Tea Seed Production

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Agricultural Biotechnology 2022年第6期11卷 55-58页

作者： Ming an YUAN Zegang Zhu Duojiao LI xinrong hu Li JIANG Le CHEN Jintao KANG Zhaisheng ZHENG Jinhua Academy of Agricultural Sciences JinhuaZhejiang321000

The tea from tea plants,a kind of traditional leaf plant,is deeply loved by people,but the production of tea fruit and its important functional value have been seriously underestimated for a long time.To this end,the oil plant function and comprehensive utilization value of tea oil from tea fruit were introduced,and a set of new standardized cultivation technique of tea plants that could fully exert the potential of tea seed yield was put forward.The technique could increase the tea seed yield per mu from less than 50kg in traditional tea gardens to more than 200 kg,which broke through the production mode of single leaf picking in traditional tea gardens,gave play to the natural reproductive growth advantages of tea plants,achieved"leaf-seed dual harvest",and promoted the improvement of tea industry quality and efficiency,thereby creating a new path to achieve the"leaf-fruit dual use"of tea plants.

关键词： Tea plant Tea seed Standardization Cultivation techniques

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蒙药额尔敦-乌日勒组方特点及治疗动脉粥样硬化研究概述

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医药导报 2024年第4期43卷 561-567页

作者：刘倩倩赵舒婷王昕蓉胡志耕陈进成山西中医药大学第一临床学院太原030024 山西中医药大学附属医院心内科太原030024

动脉粥样硬化(AS)是缺血性心血管疾病的共同病理基础,其形成机制复杂,西医治疗存在周期长、复发率高等问题。民族医药是祖国医学的重要组成部分,在治疗心血管疾病方面具有独特的疗效。研究表明蒙药额尔敦-乌日勒在治疗AS方面具有调节血... 详细信息

动脉粥样硬化(AS)是缺血性心血管疾病的共同病理基础,其形成机制复杂,西医治疗存在周期长、复发率高等问题。民族医药是祖国医学的重要组成部分,在治疗心血管疾病方面具有独特的疗效。研究表明蒙药额尔敦-乌日勒在治疗AS方面具有调节血脂、改善血流变的作用。该文旨在通过收集、整理、总结额尔敦-乌日勒的相关文献,介绍其治疗AS的独特理念、作用机制及临床研究,为预防和治疗AS提供新的思路。

关键词：额尔敦-乌日勒动脉粥样硬化蒙药

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