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考虑齿侧间隙的行星齿轮传动动力学研究 被引量:13
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作者 闵达 邹光明 +1 位作者 王兴东 唐伟 《机械传动》 北大核心 2021年第10期36-41,46,共7页
以圆柱直齿轮为研究对象,采用质量集中法建立了行星齿轮传动系统的非线性动力学模型。模型考虑了齿侧间隙、时变啮合刚度、啮合阻尼与综合啮合误差4个影响因素,列出模型对应的动力学方程,并使用4阶龙格-库塔法进行求解;通过改变齿侧间... 以圆柱直齿轮为研究对象,采用质量集中法建立了行星齿轮传动系统的非线性动力学模型。模型考虑了齿侧间隙、时变啮合刚度、啮合阻尼与综合啮合误差4个影响因素,列出模型对应的动力学方程,并使用4阶龙格-库塔法进行求解;通过改变齿侧间隙的大小,得出系统在不同间隙大小下的响应状态差异;最后,用相对位置误差的时间位移图像、相平面图及FFT频谱图进行反映,得出具体齿侧间隙大小对齿轮振动响应的影响。 展开更多
关键词 行星齿轮传动 齿侧间隙 非线性动力学 振动响应
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基于卷积神经网络的玻璃瓶口缺陷检测 被引量:2
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作者 谢泽祺 徐巍 +2 位作者 邹光明 姜佳 闵达 《制造业自动化》 CSCD 北大核心 2022年第6期104-108,160,共6页
在玻璃瓶的生产中,玻璃瓶制品的质量检测显得尤为重要。随着计算机硬件的更新进步和不同视觉检测算法提出,在工业中机器视觉产品检测逐渐代替人工检测。针对玻璃瓶口的缺陷检测,对玻璃瓶口进行图像采集及预处理,采用预处理的缺陷图作为... 在玻璃瓶的生产中,玻璃瓶制品的质量检测显得尤为重要。随着计算机硬件的更新进步和不同视觉检测算法提出,在工业中机器视觉产品检测逐渐代替人工检测。针对玻璃瓶口的缺陷检测,对玻璃瓶口进行图像采集及预处理,采用预处理的缺陷图作为数据集,利用嵌套残差神经网络的图像识别模型对玻璃瓶口进行缺陷检测并分类。实验结果表明,该方法能够有效提高玻璃瓶口缺陷分类的正确率,验证了该方法的有效性。 展开更多
关键词 机器视觉 玻璃瓶口 缺陷检测 深度学习 卷积神经网络
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基于机器视觉的玻璃瓶重量检测研究 被引量:2
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作者 姜佳 邹光明 +2 位作者 许家旺 谢泽祺 闵达 《制造业自动化》 CSCD 北大核心 2022年第8期20-23,65,共5页
在玻璃瓶生产过程中,要依赖人力实时检测瓶子重量,为了解决生产实际中生产环境恶劣、效率低等问题,提出一种基于机器视觉的自动化非接触测量方法。获得玻璃瓶瓶身和瓶口特征图像信息,随后对获得的瓶身和瓶口图像进行预处理、轮廓提取等... 在玻璃瓶生产过程中,要依赖人力实时检测瓶子重量,为了解决生产实际中生产环境恶劣、效率低等问题,提出一种基于机器视觉的自动化非接触测量方法。获得玻璃瓶瓶身和瓶口特征图像信息,随后对获得的瓶身和瓶口图像进行预处理、轮廓提取等操作。瓶身轮廓按玻璃瓶罐结构特征分为瓶口、瓶颈、瓶身、瓶底四部分,利用瓶身分段法和水平切分法计算体积及重量。实验表明:利用机器视觉技术测量玻璃瓶壁厚相对误差在1%以内,重量相对误差在2%以内,满足在线玻璃瓶重量检测要求。 展开更多
关键词 机器视觉 水平切分 重量检测 玻璃瓶
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Expert Consensus on Nutritional Support for Children with Congenital Heart Disease(2023 Edition) 被引量:7
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作者 Xuming Mo Wei Cai +60 位作者 Jirong Qi Zhuoming Xu Ying Wang Weihui Yan Shoujun Li Nianguo Dong Xinxin Chen Jinfen Liu Qiang Shu Jimei Chen Haibo Zhang Hao Zhang Quansheng Xing Qi An Xiaofeng Li Xu Wang Yan He Junwu Su Taibing Fan Teng ming Weibing Tang Li Hong Jinghao Zheng ming Ye Guocheng Sun Yiqun Ding Liang Tao Yifeng Yang Zhongshi Wu Hua Cao Qiang Wang Keming Yang Libing Zhang Ping Wen Yanqin Cui Bo Zhai Yong Zou Qingya Tang Rui Chen Chun Wu Zhiyu Feng Caixia Liu Yaping Mi Rufang Zhang Ke Lin Xin Li mingan Pi Xiangming Fan Shanshan Shi Peng Huang Zhengxia Pan Jiafeng Qi Renwei Chen Shuguang Tao Yaqin Shu Huifeng Zhang Lan Jiang min da Nishant Patel Liang Hu Cardiac Surgery Group of Pediatric Surgery Society of Chinese Medical Association and Parenteral Enteral Nutrition Society of Chinese Medical Association 《Congenital Heart Disease》 SCIE 2023年第6期571-593,共23页
The second edition of the expert consensus on pediatric nutrition was formed based on a global update of pedia-tric nutrition guidelines or consensus worldwide,the management of congenital heart disease,and the result... The second edition of the expert consensus on pediatric nutrition was formed based on a global update of pedia-tric nutrition guidelines or consensus worldwide,the management of congenital heart disease,and the results of multi-center clinical nutrition research for congenital heart disease following thefirst Chinese consensus edition of 2016.The consensus was also shaped by the results of three discussion sessions and two questionnaires con-ducted by the 13-member collaboration group.This process was informed by both clinical guidelines and expert consensus.The quality of literature,both in English and Chinese,and the level of recommendations were evaluated using the Grading of Recommendations Assessment,Development,and Evaluations(GRADE)system. 展开更多
关键词 Congenital heart disease NUTRITION ENTERAL PARENTERAL expert consensus
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Machine Learning-Based Intelligent Auscultation Techniques in Congenital Heart Disease:Application and Development
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作者 Yang Wang Xun Yang +6 位作者 mingtang Ye Yuhang Zhao Runsen Chen min da Zhiqi Wang Xuming Mo Jirong Qi 《Congenital Heart Disease》 SCIE 2024年第2期219-231,共13页
Congenital heart disease(CHD),the most prevalent congenital ailment,has seen advancements in the“dual indi-cator”screening program.This facilitates the early-stage diagnosis and treatment of children with CHD,subse-... Congenital heart disease(CHD),the most prevalent congenital ailment,has seen advancements in the“dual indi-cator”screening program.This facilitates the early-stage diagnosis and treatment of children with CHD,subse-quently enhancing their survival rates.While cardiac auscultation offers an objective reflection of cardiac abnormalities and function,its evaluation is significantly influenced by personal experience and external factors,rendering it susceptible to misdiagnosis and omission.In recent years,continuous progress in artificial intelli-gence(AI)has enabled the digital acquisition,storage,and analysis of heart sound signals,paving the way for intelligent CHD auscultation-assisted diagnostic technology.Although there has been a surge in studies based on machine learning(ML)within CHD auscultation and diagnostic technology,most remain in the algorithmic research phase,relying on the implementation of specific datasets that still await verification in the clinical envir-onment.This paper provides an overview of the current stage of AI-assisted cardiac sounds(CS)auscultation technology,outlining the applications and limitations of AI auscultation technology in the CHD domain.The aim is to foster further development and refinement of AI auscultation technology for enhanced applications in CHD. 展开更多
关键词 Congenital heart disease heart sound auscultation artificial intelligence machine learning
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Serum vitamin E concentration is negatively associated with body mass index change in girls not boys during adolescence
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作者 Xiao-Dong Zang Qing-Hui Hu +4 位作者 Xiao-Xu Liu min da Zhao-Cong Yang Ji-Rong Qi Xu-ming Mo 《World Journal of Pediatrics》 SCIE CAS CSCD 2021年第5期517-526,共10页
Background Vitamin E is the most abundant lipid-soluble antioxidants present in plasma;however,the relationship between serum vitamin E and change in body mass index(BMI)-for-age Z scores in adolescents has not been w... Background Vitamin E is the most abundant lipid-soluble antioxidants present in plasma;however,the relationship between serum vitamin E and change in body mass index(BMI)-for-age Z scores in adolescents has not been well described.Methods This study is a cross-sectional study.Data were analyzed from 4014 adolescents who participated in the National Health and Nutrition Examination Survey.The nutritional status was calculated by BMI Z scores and was classifed into nor-mal weight,overweight,and obese.Multivariable-adjusted logistic regression was used to examine the association between serum vitamin E levels with overweight/obesity.Besides,the interaction effects between potential confounders and vitamin E on obesity were further evaluated.Results After adjusting potential confounders,serum vitamin E levels were negatively associated with overweight/obesity in girls but not in boys.Per standard deviation increment in vitamin E concentrations was associated with a 92%decreased risk of obesity in females.Besides,lower quartiles of serum vitamin E were associated with a higher risk of overweight/obesity in girls.Moreover,the inverse association between serum vitamin E levels and obesity was also found in most subgroups through subgroup analysis.Conclusions Our study supports the negative association between serum vitamin E levels and overweight/obesity in ado-lescents.A higher serum vitamin E level may be associated with a reduced probability of obesity in girls,but not in boys. 展开更多
关键词 Adolescent health Body mass index Z scores OBESITY OVERWEIGHT Vitamin E
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Preoperative serum cortisone levels are associated with cognition in preschool‑aged children with tetralogy of Fallot after corrective surgery:new evidence from human populations and mice 被引量:3
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作者 Si-Yu Ma Yu-Ting Liu +12 位作者 Yue-Shuang Cun Qiang Wang ming-Cui Fu Ke-De Wu Xin-Yu Cai Shu-Ting Cheng Nishant Patel min da Liang Hu Zhuoga Deqin Xue-Jun Kang ming Yang Xu-ming Mo 《World Journal of Pediatrics》 SCIE CSCD 2024年第2期173-184,共12页
Background Tetralogy of Fallot(TOF)is the most common cyanotic congenital heart disease.Children with TOF would be confronted with neurological impairment across their lifetime.Our study aimed to identify the risk fac... Background Tetralogy of Fallot(TOF)is the most common cyanotic congenital heart disease.Children with TOF would be confronted with neurological impairment across their lifetime.Our study aimed to identify the risk factors for cerebral morphology changes and cognition in postoperative preschool-aged children with TOF.Methods We used mass spectrometry(MS)technology to assess the levels of serum metabolites,Wechsler preschool and primary scale of intelligence-Fourth edition(WPPSI-Ⅳ)index scores to evaluate neurodevelopmental levels and multimodal magnetic resonance imaging(MRI)to detect cortical morphological changes.Results Multiple linear regression showed that preoperative levels of serum cortisone were positively correlated with the gyrification index of the left inferior parietal gyrus in children with TOF and negatively related to their lower visual spaces index and nonverbal index.Meanwhile,preoperative SpO_(2) was negatively correlated with levels of serum cortisone after adjusting for all covariates.Furthermore,after intervening levels of cortisone in chronic hypoxic model mice,total brain volumes were reduced at both postnatal(P)11.5 and P30 days.Conclusions Our results suggest that preoperative serum cortisone levels could be used as a biomarker of neurodevelopmental impairment in children with TOF.Our study findings emphasized that preoperative levels of cortisone could influence cerebral development and cognition abilities in children with TOF. 展开更多
关键词 COGNITION CORTISONE MRI NEURODEVELOPMENT Tetralogy of Fallot
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