“Stillness”,as the Vimoksha state of Buddhism’s Nirvana state,is the ultimate experience of religious practice.It has rich connotations.Firstly,“Stillness”is an ultimate aesthetic experience;secondly,“Stillness...“Stillness”,as the Vimoksha state of Buddhism’s Nirvana state,is the ultimate experience of religious practice.It has rich connotations.Firstly,“Stillness”is an ultimate aesthetic experience;secondly,“Stillness”means transcending real society,the secular world and utility.In Lao-tzu’s thought,“To the Ultimate,You Yourself Empty”,“Remain in Silence and Clarity”,“Anātman”,etc.,are presented,showing that Buddhism and Lao-tzu have some commonalities.Based on the text,this article will make a simple comparative analysis,after separately discussing Lao-tzu’s“Xu Jing”and Buddhism’s“Silence”,in order to show their similarities and differences more fully and objectively.展开更多
This paper discusses the appropriateness of the free translation and literal translation on the basis of the study of Renjian Buddhism’s translations.The result shows that there are more than ten free English transla...This paper discusses the appropriateness of the free translation and literal translation on the basis of the study of Renjian Buddhism’s translations.The result shows that there are more than ten free English translations of Renjian Buddhism in China while only six versions can be found in the English world.Different free translations only focus on one aspect of Renjian Buddhism,which cannot show the whole scene of Renjian Buddhism.For example,translation“humanistic Buddhism”focuses on its humanity,showing the contrariness between“humanism”and“Buddhism”;translation“engaged Buddhism”focuses on its sociality,mistaking“Renjian Buddhism”which is not so engaged as the same Buddhism of Dalai Lama.Due to Renjian Buddhism’s complexity,the phonemic translation of“Renjian Buddhism”is more appropriate to promote its communication with the English World.展开更多
The culture of landscape constitutes one of the vital characteristics of Chinese culture,in which,Chan Buddhism is a typical kind of Buddhist culture expressed by the natural objects.Chinese Buddhism,represented by Ch...The culture of landscape constitutes one of the vital characteristics of Chinese culture,in which,Chan Buddhism is a typical kind of Buddhist culture expressed by the natural objects.Chinese Buddhism,represented by Chan School,is interpreted by the beautiful natural scenery,therefore it is closely related to the tourism from the ancient time.However,this link is to defend Buddhist tourism,which is inevitably criticized,since the secularization of sacred Buddhism,though Buddhist tourism is beneficial for life,society,economy,and Buddhism itself.But this sort of criticism is a misunderstanding of Chinese Buddhism since that Chinese Buddhism absorbs Zhuang Zi’s thought that“the ultimate truth(道)is in shit(屎尿)”1,so that it purports to the sacred dimension which is overlapped by the secular aspect.For example,the short poems composed by masters in Chan School“The Buddhist dharma is in this world,so that the enlightenment could not be realized outside of the human world”,“where there is bamboo and flower,there is dharma and prajna”,are the best way to express this kind of divine concept,moreover,Buddhist tourism is an effective practice to allocate this divine connotation.展开更多
Regarding the Chan Buddhism lamp records from the Song Dynasty and starting from Jing De Zhuan Deng Lu,the category of“enlightened masters in Chan Buddhism”禪門達者was listed separately,meaning a separate category w...Regarding the Chan Buddhism lamp records from the Song Dynasty and starting from Jing De Zhuan Deng Lu,the category of“enlightened masters in Chan Buddhism”禪門達者was listed separately,meaning a separate category was established for eccentric monks who pretended to be crazy,had unknown inheritance and miraculous deeds,and were difficult to classify.The following lamp records named this category of eccentric monks as“sages”散聖,or“saints”應化聖賢,which constructed another historical genealogy for the special Chan Buddhism eccentric monks.Moreover,the early lamp records included mostly idiosyncratic mad monks from previous dynasties.Since the Southern Song Dynasty,Chan Buddhism historical materials included many sages from the current dynasty.Therefore,this study mainly examines how the genealogy of Chan Buddhism eccentric monks was constructed in Song Dynasty Chan Buddhism lamp records,including quotations,and organizes the images of eccentric monks in the Song Dynasty,as written in Chan Buddhism historical materials,in order that the meaning of existence of these enlightened masters,sages,saints,etc.,included in the genealogy of Song Dynasty eccentric monks in the history of Chan Buddhism can be reflected.展开更多
[目的]本文旨在解决在自然环境下不同成熟度苹果目标检测精度较低的问题。[方法]提出了一种改进的YOLOv5s模型SODSTR-YOLOv5s(YOLOv5s with small detection layer and omni-dimensional dynamic convolution and swin transformer bloc...[目的]本文旨在解决在自然环境下不同成熟度苹果目标检测精度较低的问题。[方法]提出了一种改进的YOLOv5s模型SODSTR-YOLOv5s(YOLOv5s with small detection layer and omni-dimensional dynamic convolution and swin transformer block),用于不同成熟度苹果检测。首先改进YOLOv5s的多尺度目标检测层,在Prediction中构建检测160×160特征图的检测头,提高小尺寸的不同成熟度苹果的检测精度;其次在Backbone结构中融合Swin Transformer Block,加强同级成熟度的苹果纹理特征融合,弱化纹理特征分布差异带来的消极影响,提高模型泛化能力;最后将Neck结构的Conv模块替换为动态卷积模块ODConv,细化局部特征映射,实现局部苹果细粒度特征的充分提取。基于不同成熟度苹果数据集进行试验,验证改进模型的性能。[结果]改进模型SODSTR-YOLOv5s检测的精确率、召回率、平均精度均值分别为89.1%、95.5%、93.6%,高、中、低成熟度苹果平均精度均值分别为94.1%、93.1%、93.7%,平均检测时间为16 ms,参数量为7.34 M。相比于YOLOv5s模型,改进模型SODSTR-YOLOv5s精确率、召回率、平均精度均值分别提高了3.8%、5.0%、2.9%,参数量和平均检测时间分别增加了0.32 M和5 ms。[结论]改进模型SODSTR-YOLOv5s提升了在自然环境下对不同成熟度苹果的检测能力,能较好地满足实际采摘苹果的检测要求。展开更多
针对煤矿高噪声、低照度、运动模糊与大批量煤矸混杂等复杂工况环境因素导致煤矸识别存在误检、漏检以及检测精度低的问题,提出一种基于CFS-YOLO算法的煤矸智能识别模型。采用ConvNeXt V2(Convolutional Neural Network with NeXt Units...针对煤矿高噪声、低照度、运动模糊与大批量煤矸混杂等复杂工况环境因素导致煤矸识别存在误检、漏检以及检测精度低的问题,提出一种基于CFS-YOLO算法的煤矸智能识别模型。采用ConvNeXt V2(Convolutional Neural Network with NeXt Units Version 2)特征提取模块替换主干网络末端的2个C3(Cross Stage Partial Bottle Neck Mudule)模块,通过将掩码自动编码器(Masked Autoencoders,MAE)和全局响应归一化(Global Response Normalization,GRN)层添加到ConvNeXt架构中,有效缓解特征崩溃问题以及保持特征在网络传递过程中的多样性;采用Focal-EIOU(Focal and Efficient Intersection Over Union)损失函数替换原CIOU(Computer Intersection Over Union)损失函数,通过其Focal-Loss机制和调整样本权重的方式优化边界框回归任务中的样本不平衡问题,提高模型的收敛速度和定位精度;添加无参注意力机制(Simple Attention Mechanism,SimAM)于主干网络每个C3模块的后端,凭借其注意力权重自适应调整策略,提升模型对尺度变化较大或低分辨率煤矸目标关键特征的提取能力。通过消融试验和对比试验验证所提CFS-YOLO模型的有效性与优越性。试验结果表明:CFS-YOLO模型对于煤矸在煤矿高噪声、低照度、运动模糊与大批量煤矸混杂等复杂环境下的检测效果均得到有效提高,模型的平均精度均值达到90.2%,相较于原YOLOv5s模型的平均精度均值提高了3.7%,平均检测速度达到90.09 FPS,可充分满足煤矸实时检测的需求。同时与YOLOv5s、YOLOv7-tiny与YOLOv8n等6种YOLO系列算法相比,CFS-YOLO模型对煤矿复杂环境的适应性最强且综合检测性能最佳,可为煤矸的智能高效分选提供技术支持。展开更多
文摘“Stillness”,as the Vimoksha state of Buddhism’s Nirvana state,is the ultimate experience of religious practice.It has rich connotations.Firstly,“Stillness”is an ultimate aesthetic experience;secondly,“Stillness”means transcending real society,the secular world and utility.In Lao-tzu’s thought,“To the Ultimate,You Yourself Empty”,“Remain in Silence and Clarity”,“Anātman”,etc.,are presented,showing that Buddhism and Lao-tzu have some commonalities.Based on the text,this article will make a simple comparative analysis,after separately discussing Lao-tzu’s“Xu Jing”and Buddhism’s“Silence”,in order to show their similarities and differences more fully and objectively.
基金China Scholarship Council under Grant Number(2019)44,China’s Ministry of Education of Humanities and Social Science Project under Grant Number 20YJAZH047&Philosophy and Social Science Foundation of Hunan Province(CN)under Grant number17YBA420.
文摘This paper discusses the appropriateness of the free translation and literal translation on the basis of the study of Renjian Buddhism’s translations.The result shows that there are more than ten free English translations of Renjian Buddhism in China while only six versions can be found in the English world.Different free translations only focus on one aspect of Renjian Buddhism,which cannot show the whole scene of Renjian Buddhism.For example,translation“humanistic Buddhism”focuses on its humanity,showing the contrariness between“humanism”and“Buddhism”;translation“engaged Buddhism”focuses on its sociality,mistaking“Renjian Buddhism”which is not so engaged as the same Buddhism of Dalai Lama.Due to Renjian Buddhism’s complexity,the phonemic translation of“Renjian Buddhism”is more appropriate to promote its communication with the English World.
基金supported by the funding of program name“The Research of East Asian and Chinese Religion”(东亚与中国宗教研究).Project No.22JJD730002.
文摘The culture of landscape constitutes one of the vital characteristics of Chinese culture,in which,Chan Buddhism is a typical kind of Buddhist culture expressed by the natural objects.Chinese Buddhism,represented by Chan School,is interpreted by the beautiful natural scenery,therefore it is closely related to the tourism from the ancient time.However,this link is to defend Buddhist tourism,which is inevitably criticized,since the secularization of sacred Buddhism,though Buddhist tourism is beneficial for life,society,economy,and Buddhism itself.But this sort of criticism is a misunderstanding of Chinese Buddhism since that Chinese Buddhism absorbs Zhuang Zi’s thought that“the ultimate truth(道)is in shit(屎尿)”1,so that it purports to the sacred dimension which is overlapped by the secular aspect.For example,the short poems composed by masters in Chan School“The Buddhist dharma is in this world,so that the enlightenment could not be realized outside of the human world”,“where there is bamboo and flower,there is dharma and prajna”,are the best way to express this kind of divine concept,moreover,Buddhist tourism is an effective practice to allocate this divine connotation.
文摘Regarding the Chan Buddhism lamp records from the Song Dynasty and starting from Jing De Zhuan Deng Lu,the category of“enlightened masters in Chan Buddhism”禪門達者was listed separately,meaning a separate category was established for eccentric monks who pretended to be crazy,had unknown inheritance and miraculous deeds,and were difficult to classify.The following lamp records named this category of eccentric monks as“sages”散聖,or“saints”應化聖賢,which constructed another historical genealogy for the special Chan Buddhism eccentric monks.Moreover,the early lamp records included mostly idiosyncratic mad monks from previous dynasties.Since the Southern Song Dynasty,Chan Buddhism historical materials included many sages from the current dynasty.Therefore,this study mainly examines how the genealogy of Chan Buddhism eccentric monks was constructed in Song Dynasty Chan Buddhism lamp records,including quotations,and organizes the images of eccentric monks in the Song Dynasty,as written in Chan Buddhism historical materials,in order that the meaning of existence of these enlightened masters,sages,saints,etc.,included in the genealogy of Song Dynasty eccentric monks in the history of Chan Buddhism can be reflected.
文摘[目的]本文旨在解决在自然环境下不同成熟度苹果目标检测精度较低的问题。[方法]提出了一种改进的YOLOv5s模型SODSTR-YOLOv5s(YOLOv5s with small detection layer and omni-dimensional dynamic convolution and swin transformer block),用于不同成熟度苹果检测。首先改进YOLOv5s的多尺度目标检测层,在Prediction中构建检测160×160特征图的检测头,提高小尺寸的不同成熟度苹果的检测精度;其次在Backbone结构中融合Swin Transformer Block,加强同级成熟度的苹果纹理特征融合,弱化纹理特征分布差异带来的消极影响,提高模型泛化能力;最后将Neck结构的Conv模块替换为动态卷积模块ODConv,细化局部特征映射,实现局部苹果细粒度特征的充分提取。基于不同成熟度苹果数据集进行试验,验证改进模型的性能。[结果]改进模型SODSTR-YOLOv5s检测的精确率、召回率、平均精度均值分别为89.1%、95.5%、93.6%,高、中、低成熟度苹果平均精度均值分别为94.1%、93.1%、93.7%,平均检测时间为16 ms,参数量为7.34 M。相比于YOLOv5s模型,改进模型SODSTR-YOLOv5s精确率、召回率、平均精度均值分别提高了3.8%、5.0%、2.9%,参数量和平均检测时间分别增加了0.32 M和5 ms。[结论]改进模型SODSTR-YOLOv5s提升了在自然环境下对不同成熟度苹果的检测能力,能较好地满足实际采摘苹果的检测要求。
文摘针对煤矿高噪声、低照度、运动模糊与大批量煤矸混杂等复杂工况环境因素导致煤矸识别存在误检、漏检以及检测精度低的问题,提出一种基于CFS-YOLO算法的煤矸智能识别模型。采用ConvNeXt V2(Convolutional Neural Network with NeXt Units Version 2)特征提取模块替换主干网络末端的2个C3(Cross Stage Partial Bottle Neck Mudule)模块,通过将掩码自动编码器(Masked Autoencoders,MAE)和全局响应归一化(Global Response Normalization,GRN)层添加到ConvNeXt架构中,有效缓解特征崩溃问题以及保持特征在网络传递过程中的多样性;采用Focal-EIOU(Focal and Efficient Intersection Over Union)损失函数替换原CIOU(Computer Intersection Over Union)损失函数,通过其Focal-Loss机制和调整样本权重的方式优化边界框回归任务中的样本不平衡问题,提高模型的收敛速度和定位精度;添加无参注意力机制(Simple Attention Mechanism,SimAM)于主干网络每个C3模块的后端,凭借其注意力权重自适应调整策略,提升模型对尺度变化较大或低分辨率煤矸目标关键特征的提取能力。通过消融试验和对比试验验证所提CFS-YOLO模型的有效性与优越性。试验结果表明:CFS-YOLO模型对于煤矸在煤矿高噪声、低照度、运动模糊与大批量煤矸混杂等复杂环境下的检测效果均得到有效提高,模型的平均精度均值达到90.2%,相较于原YOLOv5s模型的平均精度均值提高了3.7%,平均检测速度达到90.09 FPS,可充分满足煤矸实时检测的需求。同时与YOLOv5s、YOLOv7-tiny与YOLOv8n等6种YOLO系列算法相比,CFS-YOLO模型对煤矿复杂环境的适应性最强且综合检测性能最佳,可为煤矸的智能高效分选提供技术支持。
