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   

跨项选材视角下《运动选材学》通用教材不同版本的比较研究     

龙斌  王家辉  王三保 《武汉体育学院学报》2019,53(6):72-78

运用文献资料法、数理统计法和逻辑分析法，对《运动选材学》通用教材不同版本的整体结构内容、章节进行纵横竞技体育历史分析，从跨项选材视角下研究《运动选材学》教材体系的发展规律、历史地位、内容体系存在的问题和建立《运动选材学》内容体系的对策，以期为《运动选材学》教材内容体系的建设与发展提供一些有益的理论依据。同时，也为我国备战2020年东京夏季奥运会和2022年北京冬季奥运会提供一定的理论指导。  相似文献   

网络招聘文本技能信息自动抽取研究   总被引：1，自引：1，他引：0  

俞琰  陈磊  姜金德  赵乃瑄 《图书情报工作》2019,63(13):105-113

[目的/意义]针对目前网络招聘文本手工抽取技能信息无法满足大数据量分析要求的问题，提出一种针对大量网络招聘文本的技能信息自动抽取方法。[方法/过程]根据网络招聘文本的特点，利用依存句法分析选取候选技能，然后提出领域相关性指标衡量候选技能，将其融入传统的术语抽取方法之中，形成一种网络招聘文本技能信息自动抽取方法。[结果/结论]实验表明，本文提出的方法能够从网络招聘文本中自动、快速、准确地抽取技能信息。  相似文献   

基于深度学习的中文专利自动分类方法研究   总被引：2，自引：0，他引：2  

吕璐成  韩涛  周健  赵亚娟 《图书情报工作》2020,64(10):75-85

[目的/意义] 面向当前国内专利审查和专利情报分析工作中对于海量专利分类的客观需求，设计了7种基于深度学习的专利自动分类方法，对比各种方法的分类效果，从而助力专利分类效率和效果的提升。[方法/过程] 针对传统机器学习方法存在的缺陷，基于Word2Vec、CNN、RNN、Attention机制等深度学习技术，考虑专利文本语序特征、上下文特征以及分类关键特征，设计Word2Vec+TextCNN、Word2Vec+GRU、Word2Vec+BiGRU、Word2Vec+BiGRU+TextCNN等7种深度学习模型，以中国专利为例，选取IPC主分类号的"部"作为分类依据，对比这7种模型与3种传统分类模型在中文专利分类任务中的效果。[结果/结论] 实证研究效果显示，采用考虑语序特征、上下文特征及强化关键特征的深度学习方法进行中文专利分类具有更优的分类效果。  相似文献   

Populist linguistic tone in recent U.S. presidential campaign discourse: a DICTION analysis     

Craig O. Stewart 《Communication Research Reports》2020,37(1-2):11-21

ABSTRACT

This study analyzed the tone of public campaign remarks of right- and left-wing populist (Donald Trump and Bernie Sanders, respectively) and right and left-wing non-populist (Mitt Romney and Hillary Clinton, respectively) U.S. presidential candidates using DICTION 7.0. Findings suggest that populists tended to use a linguistic tone that is high in pessimism, group abstractness, and exclusion. Pessimism and group abstractness were positively associated with immigration language in right-wing populist speech. Commonality and “we-ness” were positively associated with populist language in left-wing populist speech.  相似文献   

基于动态分阶势场法的船舶自动避碰系统     

罗贤程  尹建川  李宏宾 《上海海事大学学报》2020,41(1):1-7

为使船舶在多船避让环境下适应航行环境的变化并自动复航,提出基于动态分阶势场法的船舶自动避碰系统。该系统基于动态势场避障规划算法,利用模糊综合评价法量化船舶碰撞危险度;依据《国际海上避碰规则》确定本船在不同会遇局面下的避让行动,并据此对斥力势函数进行调整。该系统将本船的避碰过程划分为航迹保持、避让和复航3个阶段,根据不同阶段的要求构建动态分阶势场;利用动态分阶势场法对船舶的航行环境进行建模,进而生成恰当的航向指令;利用自动舵产生舵角指令控制船舶完成避让、复航和航迹保持。仿真结果表明:该自动避碰系统可以引导船舶完成既定的避让行动,并能使船舶在安全会遇距离上驶过;该系统可以适应航行环境的变化,且具备航迹保持能力。  相似文献   

Leader prototypicality in sport: The implicit leadership theories of women and men entering sport management careers     

《Sport Management Review》2020,23(4):640-656

Implicit leadership theories (ILTs) matter because they are used as the benchmark against which people determine who is a leader and who is not. This assessment informs their behavioral responses. People are thought to have a superordinate-level ILT representing their prototypical mental model of leadership and a series of basic-level ILTs. Each of these represents how people conceptualize leadership in particular domains (e.g., sport, politics, and popular culture). In this study, the authors generate the structures of basic-level sport management ILTs for women and men who are about to enter this industry. These form the baseline from which socialization to work, organizational cultures, and the sport management industry begins. The ILTs of women entering sport management careers have a 35-item, 6-factor structure (Sensitivity, Knowledgeable, Physical Attractiveness, Inspirational, Dedication, and Focused), whereas men entering the industry have a 32-item, 7-factor structure (Sensitivity, Dedication, Physical Attractiveness, Focused, Creativity, Inspirational, Courageous). The resulting sport management ILT profiles differ from superordinate ones by emphasizing physical and vitality attributes, incorporating emotional elements, and by eschewing antiprototypical elements. The paper ends with a discussion of the implications for leadership research in sport management.  相似文献   

朱子《大学章句》建构体系的梳理与析出——志与功相统一的说理方法     

宋兵超 《鸡西大学学报》2014,(2):54-55

朱熹在建构《大学章句》的体系时,采取了一种志与功相统一的说理方法。这种方法既表现在《大学》经章里,也表现在《大学》传章里,而且在不同的说理层次上,存在着不同的志与功的统一,既有纲领之间的志与功相统一,也有条目之间的志与功相统一,这分别体现在经章与传章里,而且基本上呈现出一一对应的关系。  相似文献   

基于RBV的企业信息化绩效评估层次模型     

张嵩  吴绪永 《科学学与科学技术管理》2007,28(6):129-133

以基于资源的企业理论(RBV)为基础,将企业IT资源分为IT基础设施资源、IT人力资源和互补性组织资源三类。指出IT资源对企业绩效影响的过程性,提出基于RBV的信息化绩效评估层次模型,并以实际企业为例,分析每一层次的评估范围和评估指标,帮助企业对信息技术商业价值进行有效的评估。  相似文献   

Dictionary-based text categorization of chemical web pages     

Chun-Yan Liang  Li GuoZhao-Jie Xia  Feng-Guang NieXiao-Xia Li  Liang SuZhang-Yuan Yang 《Information processing & management》2006

A new dictionary-based text categorization approach is proposed to classify the chemical web pages efficiently. Using a chemistry dictionary, the approach can extract chemistry-related information more exactly from web pages. After automatic segmentation on the documents to find dictionary terms for document expansion, the approach adopts latent semantic indexing (LSI) to produce the final document vectors, and the relevant categories are finally assigned to the test document by using the k-NN text categorization algorithm. The effects of the characteristics of chemistry dictionary and test collection on the categorization efficiency are discussed in this paper, and a new voting method is also introduced to improve the categorization performance further based on the collection characteristics. The experimental results show that the proposed approach has the superior performance to the traditional categorization method and is applicable to the classification of chemical web pages.  相似文献