Helical polymers have attracted a great deal of attention and been extensively investigated due to their various applications.One of the most importa nt applicati ons of helical polymers is chiral recog nition and res...Helical polymers have attracted a great deal of attention and been extensively investigated due to their various applications.One of the most importa nt applicati ons of helical polymers is chiral recog nition and resolutio n ofe nan tiomersforthe reas on that a pair of e nan tiomers is comm only with differe nt physiological and toxicological behaviors in biological systems.Helical polymers usually prese nt un expected high chiral recogniti on ability to a variety of racemic compo unds.Whatzs more,the chiral recog nition and resolution abilities of the system are depe ndent on the highly ordered helical structures of the helical polymers.This mini review mainly focuses on the recent progress in chiral recognition and resolution based on helical polymers.The synthetic methodology for helical polymers is firstly discussed briefly.Then recent advances of chiral recog nition and resoluti on systems based on helical polymers,especially polyacetylenes and polyisocya nides,are described.We hope this mini review will in spire more in terest in developing helical polymers and en courage further advances in chiral-related disciplines.展开更多
A novel good water-soluble macrocycle containing two pyridinium moieties was synthesized in high yield.It could form 1:1 complexes with neutral vips containing naphthalene or phenyl units in water.The water-soluble ...A novel good water-soluble macrocycle containing two pyridinium moieties was synthesized in high yield.It could form 1:1 complexes with neutral vips containing naphthalene or phenyl units in water.The water-soluble macrocycle can selectively encapsulate naphthalene to form a 1:1 complex over a variety of polycyclic aromatic hydrocarbons.展开更多
In this work, we use a deep learning method to tackle the Zero-Shot Learning(ZSL) problem in tactile material recognition by incorporating the advanced semantic information into a training model. Our main technical co...In this work, we use a deep learning method to tackle the Zero-Shot Learning(ZSL) problem in tactile material recognition by incorporating the advanced semantic information into a training model. Our main technical contribution is our proposal of an end-to-end deep learning framework for solving the tactile ZSL problem. In this framework, we use a Convolutional Neural Network(CNN) to extract the spatial features and Long Short-Term Memory(LSTM) to extract the temporal features in dynamic tactile sequences, and develop a loss function suitable for the ZSL setting. We present the results of experimental evaluations on publicly available datasets, which show the effectiveness of the proposed method.展开更多
Guo Yuqi et al. established and discussed the semi-recognizability and strong recognizability of family of languages, giving a sufficient and necessary condition for recognizability of integral families of languages. ...Guo Yuqi et al. established and discussed the semi-recognizability and strong recognizability of family of languages, giving a sufficient and necessary condition for recognizability of integral families of languages. In this letter, we establish and discuss the L-recognizability, L-semi-recognizability and strong L-recognizability of family of languages, giv-展开更多
钛合金由于导热率低,在磨削过程中工件表面容易产生烧伤或裂纹。采用图像法进行在线表面烧伤识别时,受到磨削液等现场因素的影响,采集的工件图像存在运动模糊或者目标区域被遮挡等现象,影响深度学习模型的识别效果。针对现场图像受损的...钛合金由于导热率低,在磨削过程中工件表面容易产生烧伤或裂纹。采用图像法进行在线表面烧伤识别时,受到磨削液等现场因素的影响,采集的工件图像存在运动模糊或者目标区域被遮挡等现象,影响深度学习模型的识别效果。针对现场图像受损的问题,采用对偶学习和跳跃连接的方法,设计生成对抗网络的生成器、判别器和损失函数,对细节信息进行修复,重建退化图像。试验结果表明,经过重建的钛合金磨削现场图像的峰值信噪比(peak signal to noise ratio,简称PSNR)平均值达到25以上,结构相似度(structural similarity,简称SSIM)平均值达到0.77以上。采用基于模型微调的方法对重建后图像进行烧伤识别,准确率达到90%以上。展开更多
针对现有水果识别方法需大量水果样本学习或仅对单一特征进行识别而导致的识别率较低的问题,提出一种基于水果图像处理的水果颜色和形状特征参数的提取方法、基于灰色关联分析和模糊隶属度匹配的球形水果自动识别方法。该方法通过提取...针对现有水果识别方法需大量水果样本学习或仅对单一特征进行识别而导致的识别率较低的问题,提出一种基于水果图像处理的水果颜色和形状特征参数的提取方法、基于灰色关联分析和模糊隶属度匹配的球形水果自动识别方法。该方法通过提取水果图像关注区域(region of interest,ROI)的颜色和形状特征,建立参比水果的颜色特征参比数据库和形状特征隶属度函数,计算待识别水果与参比水果颜色特征的灰色加权关联度,求取待识别水果对于参比水果形状特征参数的模糊隶属度,按各特征量等权的原则合成待识别水果对参比水果的总匹配度,并根据总匹配度的大小实现待识别水果种类的判别。大量实验结果表明:该方法简单、有效,不需要大样本量水果的学习和训练,平均识别正确率达到99%以上。展开更多
基金by the National Natural Science Foundation of China(Nos.51803045,21971052,22071041 and 51673057)the Fundamental Research Funds for the Central Universities(No.JZ2021HGTB0084,PA2020GDSK0069 and PA2020GDSK0070).
文摘Helical polymers have attracted a great deal of attention and been extensively investigated due to their various applications.One of the most importa nt applicati ons of helical polymers is chiral recog nition and resolutio n ofe nan tiomersforthe reas on that a pair of e nan tiomers is comm only with differe nt physiological and toxicological behaviors in biological systems.Helical polymers usually prese nt un expected high chiral recogniti on ability to a variety of racemic compo unds.Whatzs more,the chiral recog nition and resolution abilities of the system are depe ndent on the highly ordered helical structures of the helical polymers.This mini review mainly focuses on the recent progress in chiral recognition and resolution based on helical polymers.The synthetic methodology for helical polymers is firstly discussed briefly.Then recent advances of chiral recog nition and resoluti on systems based on helical polymers,especially polyacetylenes and polyisocya nides,are described.We hope this mini review will in spire more in terest in developing helical polymers and en courage further advances in chiral-related disciplines.
基金The authors are grateful for the financial support from the National Natural Science Foundation of China(Nos.21602055 and 51772091)Natural Science Foundation of Hunan Province(No.2017JJ3094)Research Foundation of Education Bureau of Hunan Province(No.18C1072).
文摘A novel good water-soluble macrocycle containing two pyridinium moieties was synthesized in high yield.It could form 1:1 complexes with neutral vips containing naphthalene or phenyl units in water.The water-soluble macrocycle can selectively encapsulate naphthalene to form a 1:1 complex over a variety of polycyclic aromatic hydrocarbons.
基金supported in part by the National Natural Science Foundation of China (Nos. 61673238, 61703284, and 61327809)the Beijing Municipal Science and Technology Commission (No. D171100005017002)
文摘In this work, we use a deep learning method to tackle the Zero-Shot Learning(ZSL) problem in tactile material recognition by incorporating the advanced semantic information into a training model. Our main technical contribution is our proposal of an end-to-end deep learning framework for solving the tactile ZSL problem. In this framework, we use a Convolutional Neural Network(CNN) to extract the spatial features and Long Short-Term Memory(LSTM) to extract the temporal features in dynamic tactile sequences, and develop a loss function suitable for the ZSL setting. We present the results of experimental evaluations on publicly available datasets, which show the effectiveness of the proposed method.
文摘Guo Yuqi et al. established and discussed the semi-recognizability and strong recognizability of family of languages, giving a sufficient and necessary condition for recognizability of integral families of languages. In this letter, we establish and discuss the L-recognizability, L-semi-recognizability and strong L-recognizability of family of languages, giv-
文摘钛合金由于导热率低,在磨削过程中工件表面容易产生烧伤或裂纹。采用图像法进行在线表面烧伤识别时,受到磨削液等现场因素的影响,采集的工件图像存在运动模糊或者目标区域被遮挡等现象,影响深度学习模型的识别效果。针对现场图像受损的问题,采用对偶学习和跳跃连接的方法,设计生成对抗网络的生成器、判别器和损失函数,对细节信息进行修复,重建退化图像。试验结果表明,经过重建的钛合金磨削现场图像的峰值信噪比(peak signal to noise ratio,简称PSNR)平均值达到25以上,结构相似度(structural similarity,简称SSIM)平均值达到0.77以上。采用基于模型微调的方法对重建后图像进行烧伤识别,准确率达到90%以上。
文摘针对现有水果识别方法需大量水果样本学习或仅对单一特征进行识别而导致的识别率较低的问题,提出一种基于水果图像处理的水果颜色和形状特征参数的提取方法、基于灰色关联分析和模糊隶属度匹配的球形水果自动识别方法。该方法通过提取水果图像关注区域(region of interest,ROI)的颜色和形状特征,建立参比水果的颜色特征参比数据库和形状特征隶属度函数,计算待识别水果与参比水果颜色特征的灰色加权关联度,求取待识别水果对于参比水果形状特征参数的模糊隶属度,按各特征量等权的原则合成待识别水果对参比水果的总匹配度,并根据总匹配度的大小实现待识别水果种类的判别。大量实验结果表明:该方法简单、有效,不需要大样本量水果的学习和训练,平均识别正确率达到99%以上。
