敦煌社邑文书辑校补正

《敦煌社邑文书辑校》仍旧存在着诸如错录、错校及该出校而未校的诸多问题,文章参照原卷复印件,校正了原释文的一些阙误,以资学界进一步研究利用。     

敦煌壁画数字图像语义描述方法研究

数字图像的语义描述与标注是解决图像检索中语义鸿沟问题的关键。由于缺乏面向领域的有效的数字图像描述方法规范,基于图像底层视觉特征的机器标注和基于专家知识的人为标注的标注结果都存在标注信息质量不高和结果不统一的问题。针对这一现实问题,本文基于图像元数据和信息需求理论,针对敦煌壁画数字图像这一特定文化遗产领域,提出了语义描述框架和领域主题词表相结合的数字图像内容语义描述方法,详细阐述了语义层次及其相互关系。同时,从图像语义描述粒度的角度讨论了语义粒度大小对标注成本的影响,以及该语义描述框架的可移植性问题。图4。表5。参考文献25。     

《全敦煌诗》误校例析

本文在覆核敦煌原卷的基础上,从“不明词义而误录误改”、“不明对仗而误录”、“不明繁体字分工不同而误改”、“当改而不改”、“不当改而改”、“径改而不出注”、“自乱体例”、“脱文”、“未吸收前人成果”、“不明韵律而误”、“不明俗字而误”十一个方面,对《全敦煌诗》中的校勘失误进行了纠谬。’     

敦煌市体育旅游发展的SWOT分析

为了延缓莫高窟文物的腐化速度,实现敦煌旅游业的可持续发展,全方位开发绿色的体育旅游业。笔者运用SWOT分析方法,全面而客观分析了敦煌市体育旅游发展的内部优势和劣势,以及外部环境所带来的机遇和存在威胁,得出结论,并提出若干对策与建议,为科学的发展提供理论依据。     

敦煌绿洲1955 年至2010 年胡杨年生长季对气候变化的响应

利用敦煌绿洲气象站1955年-2010年日平均气温资料,采用气候倾向率、Mann-Kendall检验、相关分析及Morlet小波功率谱等方法分析了研究区胡杨生长季对全球气候变化的响应。结果表明：近56a来,研究区胡杨年生长季有开始日提前,终止日推后,年生长季天数延长的趋势;展叶始日有提前趋势,叶黄初日有推后趋势。胡杨生长季开始日、展叶始日分别与3月和4月平均气温呈负相关关系,胡杨生长季终止日、生长期天数及叶黄初日分别与10月、3月-11月及8月-9月平均气温呈正相关关系。胡杨生长季开始日、终止日、生长季天数、展叶期及叶黄初日均具有多个突变,存在3.77~8.33a的短尺度周期,这反映出研究区胡杨生长季对气候变化响应十分敏感。     

敦煌变文写卷特征与编纂效果探析

敦煌变文是敦煌文献极其重要的组成部分,在写卷特征上,往往同一变文有多份抄本,这些抄本的残阙情况与命名纷繁复杂;写卷中存在大量的俗字、讹字、假借字、避讳字;同一个变文故事,有时候会出现两套写作模式。敦煌变文追求喜闻乐见,导民向善的编纂效果,具体表现为丰富多样的撰写形式、方言俚语俗语的大量应用、将众多人物的事迹集中于一人、因果报应教导人们向善戒恶、图文并茂。     

Ancient Mural Classification Method Based on Improved AlexNet Network

ABSTRACT

As an important part of art and culture, ancient murals depict a variety of different artistic images, and these individual images have important research value. For research purposes, it is often important to first determine the type of objects represented in a painting. However, the mural painting environment makes datasets difficult to collect, and long-term exposure leads to underlying features that are not distinct, which makes this task challenging. This study proposes a convolutional neural network model based on the classic AlexNet network model and combines it with feature fusion to automatically classify ancient mural images. Due to the lack of large-scale mural datasets, the model first expands the dataset by applying image enhancement algorithms such as scaling, brightness conversion, noise addition, and flipping; then, it extracts the underlying features (such as fresco edges) shared by the first stage of a dual channel structure. Subsequently, a second-stage deep abstraction is conducted on the features extracted by the first stage using a two-channel network, each of which has a different structure. The obtained characteristics from both channels are merged, and a loss function is constructed to obtain the classification result. This approach improves the model's robustness and feature expression ability. The model achieves an accuracy of 84.24%, a recall rate of 84.15%, and an F1-measure of 84.13% when applied to a constructed mural image dataset. Compared with the AlexNet model and other improved convolutional neural network models, the proposed model improves each evaluation index by approximately 5%, verifying the rationality and effectiveness of the model for automatic mural image classification. The mural classification model proposed in this paper comprehensively considers the influences of network width and depth and can extract rich details from mural images from multiple local channels. An effective classification method could help researchers manage and protect mural images in an orderly fashion and quickly and effectively search for target images in a digital mural library based on a specified image category, aiding mural condition monitoring and restoration efforts as well as archaeological and art historical research.     

从上古神话到敦煌变文《舜子变》看舜故事的嬗变

在上古神话与敦煌变文<舜子变>的对照中,笔者旨在探讨舜故事从神话历史到民间文学的嬗变轨迹.试图用一种发展的眼光、比较的方法,对<舜子变>在故事情节和艺术手法上的特色进行探讨.     

唐宋敦煌岁时佛俗--二月至七月

唐宋敦煌岁时佛俗:二月八日设道场讲经说法、行像.二月十五日营会供养、设供悼念佛逝世等.三月寒食清明设乐踏歌、上坟祭拜.每个季度未都举行罢四季道场,祈福禳灾.四月八日佛诞辰日有造幡、写经、四月大会、寺院礼佛、求儿女等活动.五月端午节僧官向节度使献物送礼,佛家以受气法供养十方诸佛.七月盂兰盆节整修粉刷佛堂、设盂兰盆道场、造盆破盆、户内祭拜、造花树、图像写经.     

敦煌《悉昙章》歌辞源流考略

敦煌文献中有多种题名“悉昙章”的歌辞，性质为佛教布道时唱育的曲辞，对其涉及的诸多问题，前辈学者已作过不少讨论。本文主要从《悉昙章》传播的角度对这些歌辞的源流、内容、性质及形式作进一步考察，提出了自己对这些问题的认识。