检索结果-内蒙古大学图书馆

上海纺织科技 2024年第2期52卷 25-31页

作者：夏媛媛潘姝雯谢丹张雪原戴宏钦苏州大学纺织与服装工程学院江苏苏州215123 苏州大学现代丝绸国家工程试验室江苏苏州215123

为降低防护服衣下微环境湿度,采用干燥剂除湿的方式,选择无毒、安全性高的氯化钙干燥剂,设计一款除湿背心。根据干燥剂包的疏密以及单双面分布因素研究干燥剂包的排列方式,并对除湿背心进行改进。研究结果表明:干燥剂双面紧密排列方式... 详细信息

为降低防护服衣下微环境湿度,采用干燥剂除湿的方式,选择无毒、安全性高的氯化钙干燥剂,设计一款除湿背心。根据干燥剂包的疏密以及单双面分布因素研究干燥剂包的排列方式,并对除湿背心进行改进。研究结果表明:干燥剂双面紧密排列方式的除湿效果最好,40 min内可使防护服衣下躯干部位相对湿度从90%左右降至60%左右,但此方式存在上臂、大腿部位的除湿效果不明显以及躯干部位皮肤温度升高较多的缺陷;在防护服腹部和后腰处设置排风扇的改进方案能够使上臂、大腿部位衣下相对湿度降至65%左右,同时也能有效降低暖体假人的皮肤温度,可使胸部温度降至34℃左右,腹部降至35℃左右,背部降至36.5℃左右,后腰、上臂降至35.5℃左右,大腿降至33℃左右。因此,改进后的除湿背心能够有效降低防护服衣下微环境湿度,同时也能保证假人的皮肤温度不升高。

关键词：相对湿度防护服氯化钙干燥剂衣下微环境暖体假人温度

来源：评论

学校读者我要写书评

暂无评论

A large-scale group consensus decision-making method based on historical data in dynamic social networks

引用

INFORMATION SCIENCES 2025年 713卷

作者： Peng, Juanjuan pan, Liming Xue, shuwen Long, Qingqi Zhejiang Univ Finance & Econ Sch Management Hangzhou 310018 Peoples R China

In large-scale group decision-making (LSGDM) problems, clustering and feedback mechanisms play crucial roles in the consensus-building process. This study focuses on LSGDM problems that incorporate historical data in dynamic social networks and introduces a novel consensus decision-making method. First, we define a picture fuzzy linguistic Euclidean distance metric, which effectively quantifies the distance between picture fuzzy linguistic information, providing a robust quantitative tool for related research. Second, we constructed a hybrid trust-based dynamic social network that enables decision-makers (DMs) to interact closely based on both trust relationships and preference similarities. This approach overcomes the limitations of existing studies that consider only trust relationships when constructing hybrid trust social networks. Additionally, we propose a novel clustering method that integrates hybrid trust networks and historical data. Furthermore, we address the identification and management of noncooperative behavior within the consensus feedback mechanism to enhance the efficiency of group consensus. Finally, a high-speed rail construction site selection problem is presented as a case study to demonstrate the effectiveness and superiority of the proposed method.

关键词： Large-scale group consensus decision-making Picture fuzzy linguistic term sets Noncooperative behavior identification and management Dynamic social network Historical data

来源：评论

学校读者我要写书评

暂无评论

Adaptive detection of radar range-Doppler dual-spread targets in lognormal-texture clutter

引用

DIGITAL SIGNAL PROCESSING 2025年 157卷

作者： Xue, Jian Fan, Zhen Xu, shuwen pan, Meiyan Xian Univ Posts & Telecommun Sch Commun & Informat Engn Xian 710121 Peoples R China Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China Xidian Univ Collaborat Innovat Ctr Informat Sensing & Understa Xian 710071 Peoples R China Xian Elect Engn Res Inst Xian Peoples R China

This paper investigates the problem of adaptive detection of radar targets in non-Gaussian clutter, where the target to be detected is considered to behave the dual-spread in the Doppler frequency dimension and the range dimension. The clutter is assumed to follow the compound Gaussian model with lognormal texture and unknown covariance matrix structure. The multi-rank linear subspace model and the range-spread model are employed to depict the Doppler and range spread characteristics of target echoes. Then, the range-Doppler dual-spread adaptive radar target detector with lognormal-texture is proposed using the two-step generalized likelihood ratio criteria, which replaces the true values of the unknown parameters with their maximum likelihood and maximum a posteriori estimates. Experimental results on simulated and measured data demonstrate that the proposed detector shows superior performance in different clutter and target parameters compared to the competitors.

关键词： Adaptive detection Lognormal texture Subspace model Doppler spread Range spread

来源：评论

学校读者我要写书评

暂无评论

青年肺结核病人疾病获益感现状及影响因素

引用

循证护理 2024年第10期10卷 1837-1843页

作者：李新月唐苏姚王梦梦潘舒雯王丹沙莉南京中医药大学护理学院江苏210023 南京中医药大学附属南京医院(南京市第二医院)

目的:了解青年肺结核病人疾病获益感现状,并分析其影响因素。方法:选取2022年10月—2023年3月于南京市某三级结核病定点治疗医院结核科治疗的263例青年肺结核病人作为研究对象,应用一般资料调查表、疾病获益感量表、伯克利情绪表达量表... 详细信息

目的:了解青年肺结核病人疾病获益感现状,并分析其影响因素。方法:选取2022年10月—2023年3月于南京市某三级结核病定点治疗医院结核科治疗的263例青年肺结核病人作为研究对象,应用一般资料调查表、疾病获益感量表、伯克利情绪表达量表、领悟社会支持评定量表、医学应对方式问卷进行调查。结果:青年肺结核病人疾病获益感得分为(65.05±14.16)分。多重线性回归分析结果显示,年龄、患病时长、自我表露、领悟社会支持、医学应对方式是青年肺结核病人疾病获益感的主要影响因素,可解释总变异的51.1%。结论:青年肺结核病人疾病获益感处于中等水平,临床医护人员应重视青年肺结核病人的积极感知,鼓励青年病人表达患病体验,引导青年病人充分利用外界支持积极应对疾病,以提高疾病获益感水平。

关键词：肺结核青年病人疾病获益感自我表露领悟社会支持医学应对方式

来源：评论

学校读者我要写书评

暂无评论

Intelligent welding robot system based on deep learning

Intelligent welding robot system based on deep learning

引用

Chinese Automation Congress (CAC)

作者： Ma, Xufeng pan, shuwen Li, Yanjun Feng, Chao Wang, Aoran Zhejiang Univ Coll Control Sci & Engn Hangzhou Peoples R China Zhejiang Univ City Coll Hangzhou Peoples R China Zhejiang Univ City Coll Sch Informat & Elect Engn Hangzhou Peoples R China Zhejiang Univ Coll Comp Sci & Technol Hangzhou Peoples R China

ISBN: (纸本)9781728140940

An intelligent welding robot system based on deep learning is designed. Firstly, the binocular vision system needs to be fixed and calibrated, and correct the left and right cameras to make the polar lines of the left and right images collinear. Then, the left camera is used to take 1000 photos of arbitrary arranging fence. The position of the weld is marked by LabelImg software, and the training set and validation set are determined in a ratio of 3:1, and then used to train the convolutional neural network. After the loss function tends to converge, the training stops. The model optimizer converts the TensorFlow model into an IR model through the model optimizer in openvino, which is then deployed to the Raspberry Pi 3B+, which performs forward propagation through Intel's NCS2 edge computing stick to identify the location of the weld in the image. The exact position of the weld is found by machine vision, and the parallax of all the welds is calculated by matching with the right image, and the depth of the weld is obtained by calculation. Finally, transfer the UR3 robot through Ethernet and control it for automatic welding.

关键词： Deep learning Binocular vision Intelligent recognition Automatic welding

来源：评论

学校读者我要写书评

暂无评论

Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems

引用

RELIABILITY ENGINEERING & SYSTEM SAFETY 2024年 252卷

作者： Zheng, shuwen pan, Kai Liu, Jie Chen, Yunxia Beihang Univ Sch Reliabil & Syst Engn Beijing 100191 Peoples R China

With increasing complexity and interconnectivity of the modern industrial systems, effectively diagnosing faults is a core step to Prognostic and Health Management (PHM). Language models, particularly Large Language Models (LLMs) that pre-trained on massive corpora, have demonstrated remarkable capabilities in Natural Language Processing (NLP) and its related downstream tasks. However, how to leverage these models for facilitating system fault diagnosis and verify its effectiveness is rarely explored. This paper incorporates the potential comprehension ability of pre-trained LLMs, and investigates the efficacy of fine-tuning LLMs for realizing efficient system fault diagnosis. The experiments conducted in this study involve both open-source and closed-source models, and utilize a simulation and a real fault diagnosis dataset. We find that these models consistently achieve high performance across various metrics compared to the baselines. Additionally, qualitative and quantitative analysis is performed to investigate several aspects of the approach, such as the impact of dataset size, data normalization, missing values and explainability of the diagnosis, further showcasing the potential as well as limitations of the approach.

关键词： prognosis and health management fault diagnosis large language model complex systems high-speed train chemical plant

来源：评论

学校读者我要写书评

暂无评论

基于虚拟技术的医用防护服结构优化设计

引用

现代丝绸科学与技术 2024年第2期39卷 19-24页

作者：耿路桥潘姝雯戴宏钦周晓钰李文燕胡胜宇苏州大学纺织与服装工程学院江苏苏州215021 现代丝绸国家工程实验室(苏州) 江苏苏州215123

针对轻薄类防护服运动性差、号型不合适、美观性差等问题,以医用防护服为例,基于国家标准尺寸数据,设计一款医用防护服,利用CLO 3D虚拟试衣技术实现医用防护服的虚拟试穿。通过软件所展示的虚拟试衣效果并结合虚拟压力发现医用防护服样... 详细信息

针对轻薄类防护服运动性差、号型不合适、美观性差等问题,以医用防护服为例,基于国家标准尺寸数据,设计一款医用防护服,利用CLO 3D虚拟试衣技术实现医用防护服的虚拟试穿。通过软件所展示的虚拟试衣效果并结合虚拟压力发现医用防护服样板中存在的问题,设计实验方案,对其运动性和美观性评价后进行样板结构的调整,最终确定运动性和美观性兼备的轻薄型防护服最小结构尺寸数据。

关键词：防护服虚拟技术结构设计结构调整

来源：评论

学校读者我要写书评

暂无评论

Group cognitive characteristics of construction Workers ' unsafe behaviors from personalized management

引用

SAFETY SCIENCE 2024年 175卷

作者： Deng, shuwen Zhu, Honglei Cai, Yili pan, Yonggang Xinjiang Univ Coll Architecture Engn 666 Victory Rd Urumqi 830000 Peoples R China Carleton Univ Criminol & Criminal Justice 1233 Colonel Dr Ottawa ON K1S 5B7 Canada Ningbo Univ Coll Fac Languages 818 Fenghua Rd Ningbo 315211 Zhejiang Peoples R China

Unsafe behavior management is an effective way to prevent construction safety accidents. However, unsafe behavior management lacks personalization and needs to incorporate cognitive factors. Therefore, this study explored the group cognitive characteristics of workers' unsafe behaviors under common individual factors. Firstly, the cognitive model of unsafe behavior was validated using structural equation modeling and bootstrap techniques. The results showed a distal mediating between the cognitive processes of unsafe behaviors. Second, the cognitive processes of workers' unsafe behaviors were analyzed using multiple group analysis for three individual factors: age, work experience, and education. The results showed that age is not a significant individual factor in group cognitive characteristics, education and work experience are significant individual factors with group cognitive characteristics of unsafe behavior. Workers with shorter experience are prone to cognitive failure in risk identification, others' influence, self-efficacy, and work skills. Workers with longer experience are prone to cognitive failure in safety awareness, others' pressure, and execution ability. Low-education workers are prone to cognitive failure in risk identification and pursuing energy-saving. High-education workers are prone to cognitive failure in safety awareness, self-efficacy, and work skills. Finally, targeted measures are given for significant individual factors based on group cognitive characteristics of unsafe behavior in order to construct widely used personalized group cognitive management for unsafe behavior.

关键词： Unsafe behavior Unsafe behavior management Personalized management Group cognitive characteristics

来源：评论

学校读者我要写书评

暂无评论

防护服运动性分析及评价体系构建

引用

上海纺织科技 2024年第12期52卷 67-72页

作者：李文燕潘姝雯戴宏钦胡胜宇耿路桥周晓钰苏州大学纺织与服装工程学院江苏苏州215123

针对防护服的运动性评价与常规服装的运动性研究相似,主要从单一的运动生物力学或生理学角度出发,且只对着装时运动情况进行探究的问题,从防护服运动的特殊性需求入手,结合防护服特殊的结构设计和穿着方式分析影响防护服运动性的主要因... 详细信息

针对防护服的运动性评价与常规服装的运动性研究相似,主要从单一的运动生物力学或生理学角度出发,且只对着装时运动情况进行探究的问题,从防护服运动的特殊性需求入手,结合防护服特殊的结构设计和穿着方式分析影响防护服运动性的主要因素。提出从基本运动性、安全运动性、舒适运动性3个层次出发,开展基于所有防护服的完整运动性评价指标体系构建与评价方法研究。

关键词：防护服运动性评价体系权重计算

来源：评论

学校读者我要写书评

暂无评论

Group management model for construction workers' unsafe behavior based on cognitive process model

引用

ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT 2023年第7期30卷 2928-2946页

作者： Deng, shuwen Cai, Yili Xie, Longpan pan, Yonggang Xinjiang Univ Urumqi Peoples R China Ningbo Univ Ningbo Peoples R China Guangdong Univ Technol Guangzhou Peoples R China

Purpose Unsafe behavior is a major cause of safety accidents, while in most management measures for unsafe behavior, the construction workers are generally managed as a whole. Therefore, this study aims to propose group management of construction workers' unsafe behavior considering individual characteristics. Design/methodology/approach A cognitive process model with ten cognitive factors was constructed based on cognitive safety theory. The questionnaire was developed and validated based on the cognitive model, and the results showed that the questionnaire had good reliability and validity, and the cognitive model fitted well. Latent class analysis was used to classify the unsafe behaviors of construction workers. Findings Four categories of cognitive excellent type, cognitive failure type, no fear type and knowingly offending type were obtained. Workers of cognitive excellent type have good cognitive ability and a small tendency for unsafe behaviors. Workers of cognitive failure type have poor cognitive ability and the potential for cognitive failure in all four cognitive links. Workers of no fear type have weak cognitive ability, and cognitive failure may occur in discovering information and choosing coping links. Workers of knowingly offending type have certain cognitive abilities, but cognitive failure may occur in choosing coping link. Originality/value This study formulates targeted management measures according to the potential characteristics of these four types and provides scientific theoretical support for the personalized management of unsafe behavior.

关键词： Cognitive process model Personalized management Unsafe behaviors Latent class analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：