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再谈北宋智坚的菩萨戒
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作者 张重艳 《西夏学》 2022年第1期136-148,共13页
B63、S.3424V是有关北宋端拱二年西行僧人智坚的文书。S.3424V中智坚修行仪轨文书第13下半行—29上半行均是各种陀罗尼,没有出现任何修持戒条的内容,唐代密宗大师不空所译《受菩提心戒仪》是密宗的受菩萨戒仪轨,仪轨中没有戒条,强调受... B63、S.3424V是有关北宋端拱二年西行僧人智坚的文书。S.3424V中智坚修行仪轨文书第13下半行—29上半行均是各种陀罗尼,没有出现任何修持戒条的内容,唐代密宗大师不空所译《受菩提心戒仪》是密宗的受菩萨戒仪轨,仪轨中没有戒条,强调受持陀罗尼,因此智坚所传的菩萨戒是密宗菩提心戒。为了弘扬密宗菩萨戒,年仅24岁的智坚西行,路经敦煌,将密宗菩萨戒修行仪轨和受斋仪轨传授给敦煌受菩萨戒僧人和居士。 展开更多
关键词 智坚 菩萨戒 菩提心戒
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黑水城文书所见北宋初年西行求法僧研究 被引量:1
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作者 陈玮 《新疆大学学报(哲学社会科学版)》 CSSCI 2019年第2期77-82,共6页
《俄藏黑水城文献》所收智坚文书与大英图书馆藏S.3424志坚文书均为北宋初年西行求法僧人智坚途经沙州所遗留之书迹。智坚文书主要记录了其在抵达沙州前的启程地点、时间、随行人员、西行使命。志坚文书则反映了智坚在抵达沙州后为当地... 《俄藏黑水城文献》所收智坚文书与大英图书馆藏S.3424志坚文书均为北宋初年西行求法僧人智坚途经沙州所遗留之书迹。智坚文书主要记录了其在抵达沙州前的启程地点、时间、随行人员、西行使命。志坚文书则反映了智坚在抵达沙州后为当地信徒授戒及设斋仪轨。通过对两份文书进行比对研究,不仅可以看到北宋初年丝绸之路灵州道的畅捷,还能管窥北宋初年佛法复兴后中原密宗对于敦煌之影响。 展开更多
关键词 黑水城 智坚 敦煌 菩萨戒
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Using Computer Vision and Intelligent Classification Techniques for the Classification and Selection of Brazilian Nuts
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作者 Raphael Gava de Andrade Valentin Oba Roda Jose Dalton Cruz Pessoa 《Journal of Food Science and Engineering》 2016年第2期51-62,共12页
Aiming to improve the processes involved in the industrial beneficiation of the Brazilian nuts, this work used a new methodology based on concepts of computer vision and intelligent classification, with a focus on two... Aiming to improve the processes involved in the industrial beneficiation of the Brazilian nuts, this work used a new methodology based on concepts of computer vision and intelligent classification, with a focus on two of the various stages of the processing: classification according to the origin and selection. Using the proposed methodology for the selection of the nuts it was possible to distinguish between intact and broken nuts and between good and spoiled nuts with a very high percentage of correct identifications. Also to evaluate the efficiency of the proposed methodology, visual tests by human subjects were performed for the classification of the nuts, the results demonstrated that the intelligent techniques performed the same or better than the visual classification. 展开更多
关键词 Brazilian nuts classification techniques computer vision intelligent systems.
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