User generated content,e.g.,from YouTube,the most popular online video sharing site,is one of the major sources of today's big data and it is crucial to understand their inherent characteristics.Recently,YouTube h...User generated content,e.g.,from YouTube,the most popular online video sharing site,is one of the major sources of today's big data and it is crucial to understand their inherent characteristics.Recently,YouTube has started working with content providers(known as YouTube partners) to promote the users' watching and sharing activities.The substantial benefit is to further augment its service and monetize more videos,which is crucial to both YouTube and its partners,as well as to other providers of relevant services.In this paper,our main contribution is to analyze the massive amounts of video data from a YouTube partner's view.We make effective use of Insight,a new analytics service of YouTube that offers simple data analysis for partners.To provide the practical guidance from the raw Insight data,we enable more complex investigations for the inherent features that affect the popularity of the videos.Our findings facilitate YouTube partners to re-design current video publishing strategies,having more opportunities to attract more views.展开更多
A test items knowledge library system of for adaptive learning is proposed in this paper. The first step is to carry out the quantity and quality analysis of the test items by using the Bloom＇s revised taxonomy and s...A test items knowledge library system of for adaptive learning is proposed in this paper. The first step is to carry out the quantity and quality analysis of the test items by using the Bloom＇s revised taxonomy and scale anchoring respectively to produce the characteristics for test items. A smoothing method of arbitrary anchoring revised from scale anchoring is first proposed to make tests more accurate in distinguishing test levels. In addition, raised three dimensional indicators based on the Bloom＇s revised taxonomy are adopted to validate test contents and therefore it concretely describes the examining function of items. The items obtained have the precise and concrete properties; an item knowledge library is therefore constructed combining teaching materials and items using the technologies of ontology and knowledge management. Finally, a knowledge library system of test items is established to achieve the purpose of adaptive learning for learners.展开更多
The combination of capacitance- and current-voltage （CV/IV） measurements is used to analyze trap generation in sili- con-nanocrystal memory devices during Fowler-Nordheim （FN） programming/erasing cycling. CV and I...The combination of capacitance- and current-voltage （CV/IV） measurements is used to analyze trap generation in sili- con-nanocrystal memory devices during Fowler-Nordheim （FN） programming/erasing cycling. CV and IV curves are meas- ured after certain P/E cycles. The flatband voltage （Vro） and the threshold voltage （VtQ are extracted from CV curves by solv- ing one-dimensional Schrtidinger and Poisson equations. Both hole and electron trappings are observed in the tunneling SiO2. They show up in the accumulation and the inversion, respectively. By fitting FN tunneling current, the area densities of cy- cling-induced electron traps in the blocking oxide and in the tunneling oxide are finally determined.展开更多
文摘User generated content,e.g.,from YouTube,the most popular online video sharing site,is one of the major sources of today's big data and it is crucial to understand their inherent characteristics.Recently,YouTube has started working with content providers(known as YouTube partners) to promote the users' watching and sharing activities.The substantial benefit is to further augment its service and monetize more videos,which is crucial to both YouTube and its partners,as well as to other providers of relevant services.In this paper,our main contribution is to analyze the massive amounts of video data from a YouTube partner's view.We make effective use of Insight,a new analytics service of YouTube that offers simple data analysis for partners.To provide the practical guidance from the raw Insight data,we enable more complex investigations for the inherent features that affect the popularity of the videos.Our findings facilitate YouTube partners to re-design current video publishing strategies,having more opportunities to attract more views.
文摘A test items knowledge library system of for adaptive learning is proposed in this paper. The first step is to carry out the quantity and quality analysis of the test items by using the Bloom＇s revised taxonomy and scale anchoring respectively to produce the characteristics for test items. A smoothing method of arbitrary anchoring revised from scale anchoring is first proposed to make tests more accurate in distinguishing test levels. In addition, raised three dimensional indicators based on the Bloom＇s revised taxonomy are adopted to validate test contents and therefore it concretely describes the examining function of items. The items obtained have the precise and concrete properties; an item knowledge library is therefore constructed combining teaching materials and items using the technologies of ontology and knowledge management. Finally, a knowledge library system of test items is established to achieve the purpose of adaptive learning for learners.
基金supported by the National Basic Research Program of China ("973" Program) (Grant No. 2010CB934200)the National Natural Science Foundation of China (Grant No. 60825403)the Hi-Tech Research and Development Program of China ("863" Program) ( Grant No. 2008AA031403)
文摘The combination of capacitance- and current-voltage （CV/IV） measurements is used to analyze trap generation in sili- con-nanocrystal memory devices during Fowler-Nordheim （FN） programming/erasing cycling. CV and IV curves are meas- ured after certain P/E cycles. The flatband voltage （Vro） and the threshold voltage （VtQ are extracted from CV curves by solv- ing one-dimensional Schrtidinger and Poisson equations. Both hole and electron trappings are observed in the tunneling SiO2. They show up in the accumulation and the inversion, respectively. By fitting FN tunneling current, the area densities of cy- cling-induced electron traps in the blocking oxide and in the tunneling oxide are finally determined.
