Structural Analysis for Replicating Japanese Cultural Property Braids     

Masumi Tada  Kazuaki Yamashiro  Iwataro Oka  Akihiko Goto  Noriaki Kuwahara 《文物保护研究》2020,65(7):399-410

ABSTRACT

Historic Japanese textiles from over 1000 years ago generally show marked deterioration and only very rare examples show their original forms and much information about textile reproduction has been lost. The replication of textile braids lacks systematic methodology and is still being practiced by only few individual braiding experts. The recreation of original braids as close as possible to original braids is a part of Japan’s intangible cultural heritage. The aim of this study is to clarify the decision-making procedure through which the braiding experts can decipher the original braiding structures. As a preliminary study of this project, interviews of a braid researcher and a replicating expert, Makiko Tada were performed regarding her working practices. It is important to clarify the braiding parameters for structural analysis such as the number of transits and the balance of ridges, and it became clear that the orientation of multiple colored threads plays an important role. The expert’s replicate works were also analyzed using a text-mining statistical technique to clarify the relationship of braiding parameters. The relationship between each braiding parameter and production method such as loop manipulation and Taka-dai became clear. As a result, the process of deciphering the original braid structure has been compiled in simplified workflows, which could contribute to the standardization and improvement in efficiency of replication of cultural property braids.  相似文献   

一种基于图卷积自编码模型的多维度学科知识网络融合方法     

李慧  胡吉霞 《图书情报工作》2020,64(18):114-125

[目的/意义] 针对包含单一类型知识单元的知识网络难以全面反映学科知识结构的问题，提出一种从多维度进行知识网络结构融合的方法，为学科领域知识结构挖掘提供借鉴。[方法/过程] 利用LDA及TF-IDF方法抽取学科知识单元，然后运用语义相似度和关键词共现分析方法构建3个学科知识子网络：主题网络、关键词网络和实体网络，并采用空间节点传递对齐方法对齐子网络节点，接着设计基于图卷积操作的自编码模型对知识节点进行表示，最后通过计算余弦相似度重构学科知识网络。[结果/结论] 实验部分以人工智能领域为例，构建融合主题、关键词和实体的学科知识网络并展开分析，实验结果表明，本文所提方法能有效地揭示学科领域研究内容和知识结构，为学科知识发现与组织研究提供有益参考。  相似文献   

我国体育产业结构性失衡与供给侧破解路径     

任波  黄海燕 《南京体育学院学报(社会科学版)》2020,34(1):49-58

在新时代体育产业发展进程中，我国体育产业结构性失衡问题显得尤为突出，而推进体育产业供给侧结构性改革对破解体育产业结构性失衡具有现实意义。采用供给经济学、产业经济学等相关理论，剖析我国体育产业结构性失衡的表现形式，解构我国体育产业结构性失衡的形成原因，探寻我国体育产业结构性失衡的供给侧破解路径。研究表明：1）我国体育产业结构性失衡表现在：体育产业的产值结构、就业结构、供给结构等方面。2）体育产业结构性失衡的形成原因有：经济体制决定体育产业结构、体育发展战略固化体育产业结构、大众需求结构钢化体育产业结构。3）体育产业结构性失衡的供给侧破解路径为：明晰政府与市场边界，发挥市场在体育资源配置中的决定性作用；完善体育产业结构政策，发挥体育产业在体育发展战略中的作用；推进体育供需平衡，发挥体育产业在促进体育消费中的作用。  相似文献   

北京冬奥会筹备对运动休闲基地建设的示范作用研究     

李杰桃 《广州体育学院学报》2020,(3):43-45

北京冬奥会雪上项目将在张家口市崇礼区进行，冬奥会筹备工作的重点也就集中在了这个过去名不见经传的小镇上了。虽然距冬奥会开幕还有近2年的时间，但崇礼区作为滑雪运动圣地已蜚声海内外，国外专业滑雪运动队将它作为训练基地外，国内业余滑雪运动者也从全国各地涌向这里。如今，张家口市整个经济被冬奥会激活了，其产业结构也已因崇礼区滑雪运动休闲基地实现了从农业经济向资源旅游经济的转型。虽然冬奥会筹备是国家级的大事，但张家口崇礼区的建设筹备仍然对全国休闲运动基地建设具有示范指导意义。  相似文献   

国内外社交媒体存档研究与实践述评     

黄新荣  高晨翔 《图书情报工作》2019,63(4):122-134

[目的/意义]社交媒体是网络信息资源的重要组成部分，对国内外社交媒体存档的相关研究成果进行总结与梳理，形成比较完整的综述内容，为国内该领域研究提供参考与借鉴。[方法/过程]基于多学科视角，通过文献计量与内容分析得到社交媒体存档领域的文献分布情况，总结社交媒体存档的理论基础，从宏观层面将社交媒体存档理论与实践研究归纳为"目的与主体""政策与指南""问题与障碍"三个研究主题并展开综述。[结果/结论]国内外社交媒体存档研究具有发展速度较快、与实践结合紧密、区域发展不均衡等特征，在未来研究中需要重视研究对象的变化、管理标准的构建以及多主体间的协作。最后对国内社交媒体存档研究与实践的发展提出建议。  相似文献   

不同收入的城镇居民对体育消费结构和体育消费需求的影响*     

于〓乐  程〓蕾 《广州体育学院学报》2019,(5):26-30

采用问卷调查和数理统计方法，研究了不同收入的居民对体育消费结构和体育消费需求的影响。结果表明，随着居民收入的增加，各类体育消费都呈现上升趋势，实物型体育消费增长速度变慢，观赏型体育消费和健身型体育消费增长速度变快，当居民年收入在10万以上时，观赏型体育消费和健身型体育消费开始急剧增加。制约体育消费需求的主要因素是居民的收入、体育消费的价格、体育消费结构和居民的可支配时间。  相似文献   

Mapping continuity and change in the intellectual structure of the knowledge base on problem-based learning, 1974–2019: A systematic review     

Philip Hallinger 《British Educational Research Journal》2020,46(6):1423-1444

Problem-based learning (PBL) emerged during the 1970s in response to demands for active learning methods capable of developing transferable knowledge and skills in the training of doctors. Over succeeding decades, PBL was gradually adopted in other fields of education. This systematic review aimed to identify key streams of theory and empirical research that have emerged over time in PBL research and practice. The review sourced 12,036 Scopus-indexed documents published between 1974 and 2019. Science mapping was used to reveal the ‘intellectual structure’ or key research themes that have evolved in this literature over the past 45 years. The science mapping tool used in this review was author co-citation analysis conducted in VOSviewer software. Author co-citation analysis identified three schools of thought that together describe the intellectual structure of the PBL knowledge base: Design of PBL Curriculum and Instruction; PBL Effectiveness; Theory and Practice in Active Learning. In addition to portraying the intellectual structure of the literature as a whole, the review also conducted longitudinal analyses aimed at highlighting structural changes in this field over time. These analyses found that although the size and impact of schools of thought associated with Design of PBL Curriculum and Instruction and PBL Effectiveness increased over time, they remained stable in terms of theoretical foci. However, the Active Learning school evolved from a small school of authors associated with Cognitive Learning Theories prior to 2000 into the largest school of thought during the most recent decades. These findings both reaffirm the theoretical underpinnings of the PBL knowledge base and highlight its increasing integration with other forms of active learning.  相似文献   

Online visibility of software-related web sites: The case of biomedical text mining tools     

Gael Pérez-Rodríguez  Martín Pérez-Pérez  Florentino Fdez-Riverola  Anália Lourenço 《Information processing & management》2019,56(3):565-583

  相似文献   

Web document summarization by exploiting social context with matrix co-factorization     

Minh-Tien Nguyen  Viet Cuong Tran  Xuan Hoai Nguyen  Le-Minh Nguyen 《Information processing & management》2019,56(3):495-515

In the context of social media, users usually post relevant information corresponding to the contents of events mentioned in a Web document. This information posses two important values in that (i) it reflects the content of an event and (ii) it shares hidden topics with sentences in the main document. In this paper, we present a novel model to capture the nature of relationships between document sentences and post information (comments or tweets) in sharing hidden topics for summarization of Web documents by utilizing relevant post information. Unlike previous methods which are usually based on hand-crafted features, our approach ranks document sentences and user posts based on their importance to the topics. The sentence-user-post relation is formulated in a share topic matrix, which presents their mutual reinforcement support. Our proposed matrix co-factorization algorithm computes the score of each document sentence and user post and extracts the top ranked document sentences and comments (or tweets) as a summary. We apply the model to the task of summarization on three datasets in two languages, English and Vietnamese, of social context summarization and also on DUC 2004 (a standard corpus of the traditional summarization task). According to the experimental results, our model significantly outperforms the basic matrix factorization and achieves competitive ROUGE-scores with state-of-the-art methods.  相似文献   

Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton     

Olivier Dieu  Christophe Schnitzler  Clément Llena  François Potdevin 《Journal of sports sciences》2020,38(17):1943-1952

ABSTRACT

This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallies. The expertise levels were determined using a typology based on a continuum of 5 conative stages: (1) structural, (2) functional, (3) technical, (4) contextual, and (5) expertise. The video allowed empirical measurement of the duration of the rallies, and tri-axial accelerometers measured the intensity of the player’s involvement. A principal component analysis showed that two dimensions explained 54.9% of the total variance in the data and that conative stage and empirical parameters during rallies (duration, intensity of the game) were correlated with axis 1, whereas duration and acceleration data between rallies were correlated with axis 2. A random forest algorithm showed that among the parameters considered, acceleration, duration of the rallies, and time between rallies could predict conative stages with a prediction accuracy above possibility.

This study suggests that performance analysis benefits from the confrontation of subjective and objective data in order to design training plans according to the expertise level of the participants.  相似文献