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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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This paper reports results of intensive field work in urban high school mathematics and science classrooms based on research
with students attending eight high schools located in large, disparate urban sites across the U.S. During the course of our
observations and interviews we recorded students’ activities as well as their impressions of classroom processes over the
course of a week in each classroom using the Experience Sampling Method (ESM). ESM allows students to record information about
their classroom experiences at intervals during daily mathematics and science classroom lessons. We measured levels of student
engagement and examined relationships between student engagement and an array of predictors. We take a social organizational
approach to interpreting classroom processes, examining the extent to which classroom activities influence student perception
of class and communication among students and how these intervening factors affect student engagement during on-going classroom
activities. Results suggest that there is variation between group members’ reactions to classroom activities. Specifically,
as an example, Latino Students in Chicago, Miami and El Paso were far more engaged and responsive to classroom lessons during
the time they spent in small problem-solving groups during class. Student Engagement in High School Mathematics and Science.
Kazuaki Uekawa is affiliated with the American Institutes for Research, Washinton DC, USA. Kathryn Borman and Reginald Lee
are affilated with the The University of South Florida, Tampa, FL, USA. Address correspondence to Kazuaki Uekawa, American
Institutes for Research, Washinton DC, USA; e-mail: kuekawa@air.org 相似文献
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Dictionary-based query translation for cross-language information retrieval often yields various translation candidates having different meanings for a source term in the query. This paper examines methods for solving the ambiguity of translations based on only the target document collections. First, we discuss two kinds of disambiguation technique: (1) one is a method using term co-occurrence statistics in the collection, and (2) a technique based on pseudo-relevance feedback. Next, these techniques are empirically compared using the CLEF 2003 test collection for German to Italian bilingual searches, which are executed by using English language as a pivot. The experiments showed that a variation of term co-occurrence based techniques, in which the best sequence algorithm for selecting translations is used with the Cosine coefficient, is dominant, and that the PRF method shows comparable high search performance, although statistical tests did not sufficiently support these conclusions. Furthermore, we repeat the same experiments for the case of French to Italian (pivot) and English to Italian (non-pivot) searches on the same CLEF 2003 test collection in order to verity our findings. Again, similar results were observed except that the Dice coefficient outperforms slightly the Cosine coefficient in the case of disambiguation based on term co-occurrence for English to Italian searches. 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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This study develops regression models for predicting the performance of cross-language information retrieval (CLIR). The model assumes that CLIR performance can be explained by two factors: (1) the ease of search inherent in each query and (2) the translation quality in the process of CLIR systems. As operational variables, monolingual information retrieval (IR) performance is used for measuring the ease of search, and the well-known evaluation metric BLEU is used to measure the translation quality. This study also proposes an alternative metric, weighted average for matched unigrams (WAMU), which is tailored to gauging translation quality for special IR purposes. The data for regression analysis are obtained from a retrieval experiment of English-to-Italian bilingual searches using the CLEF 2003 test collection. The CLIR and monolingual IR performances are measured by average precision score. The result shows that the proposed regression model can explain about 60% of the variation in CLIR performance, and WAMU has more predictive power than BLEU. A back translation method for applying the regression model to operational CLIR systems in real situations is discussed. 相似文献
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