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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
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Refining and Extending the Business Model With Information Technology: Dell Computer Corporation 总被引：7，自引：0，他引：7
The exceptional performance of Dell Computer in recent years illustrates an innovative response to a fundamental competitive factor in the personal computer industry - the value of time. This article shows how Dell's strategies of direct sales and build-to-order production have proven successful in minimizing inventory and bringing new products to market quickly, enabling it to increase market share and achieve high returns on investment. The Dell case illustrates how one business model may have inherent advantages under particular market conditions, but it also shows the importance of execution in exploiting those advantages. In particular, Dell's use of information technology (IT) has been vital to executing both elements of its business model - direct sales and build-to-order - and provides valuable insights into how IT can be applied to achieve speed and flexibility in an industry in which time is critical. Many of the insights gained from this case can be applied more generally to other time-dependent industries, suggesting that the findings from the Dell case will have implications for a growing number of companies and industries in the future. 相似文献
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The No Child Left Behind Act ( NCLB, 2002 ) establishes ambitious goals for increasing student learning and attaining equity in the distribution of student performance. Schools must assure that all students, including all significant subgroups, show adequate yearly progress (AYP) toward the goal of 100% proficiency by the year 2014. In this paper, we illustrate an alternative way of evaluating AYP that both emphasizes individual student growth over time and focuses on the distribution of student growth between performance subgroups. We do so through analyses of a longitudinal data set from an urban school district in the state of Washington. We also examine what these patterns tell us about schools that have been designated as meeting their AYP targets and those that have not. This alternative way of measuring AYP helps bring to light potentially important aspects of school performance that might be masked if we limit our focus to classifying schools based only on current AYP criteria. In particular, we are able to identify some schools meeting Washington state's AYP criteria in which above-average students are making substantial progress but below-average students making little to no progress. In contrast, other schools making AYP have below-average students making adequate progress but above-average students showing little gains. These contrasts raise questions about the meaning of "adequate" progress and to whom the notion of progress refers. We believe that closely examining the distribution of student progress may provide an important supplementary or alternative measure of AYP. 相似文献
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Elisa Claire Alemán Carreón Hirofumi Nonaka Asahi Hentona Hirochika Yamashiro 《Information processing & management》2019,56(4):1339-1355
Since its introduction, television has been the main channel of investment for advertisements in order to influence customers purchase behavior. Many have attributed the mere exposure effect as the source of influence in purchase intention and purchase decision; however, most of the studies of television advertisement effects are not only outdated, but their sample size is questionable and their environments do not reflect reality. With the advent of the internet, social media and new information technologies, many recent studies focus on the effects of online advertisement, meanwhile the investment in television advertisement still has not declined. In response to this, we applied machine learning algorithms SVM and XGBoost, as well as Logistic Regression, to construct a number of prediction models based on at-home advertisement exposure time and demographic data, examining the predictability of Actual Purchase and Purchase Intention behaviors of 3000 customers across 36 different products during the span of 3 months. If we were able to predict purchase behaviors with models based on exposure time more reliably than with models based on demographic data, the obvious strategy for businesses would be to increase the number of adverts. On the other hand, if models based on exposure time had unreliable predictability in contrast to models based on demographic data, doubts would surface about the effectiveness of the hard investment in television advertising. Based on our results, we found that models based on advert exposure time were consistently low in their predictability in comparison with models based on demographic data only, and with models based on both demographic data and exposure time data. We also found that there was not a statistically significant difference between these last two kinds of models. This suggests that advert exposure time has little to no effect in the short-term in increasing positive actual purchase behavior. 相似文献
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