The continuation task (Wang & Wang, 2014) proves to have language learning potentials by many empirical studies (Peng, 2018). This study intends to explore its underlining alignment mechanisms through two continua...The continuation task (Wang & Wang, 2014) proves to have language learning potentials by many empirical studies (Peng, 2018). This study intends to explore its underlining alignment mechanisms through two continuation tasks on English materi-als called Chon and Charles by two Chinese linguistics-major graduates (EFL learners). The results show that alignment is ubiqui-tous both linguistically and thematically, and the reading and writing are tightly coupled. This indicates that the continuation task will significantly benefit second language writing pedagogy if applied appropriately.展开更多
A turbine blade is one of the key components of the aero-engine. Its geometric shape should be inspected carefully in the production stage to ensure that it meets the tolerance specification. In the present paper, an ...A turbine blade is one of the key components of the aero-engine. Its geometric shape should be inspected carefully in the production stage to ensure that it meets the tolerance specification. In the present paper, an approach for investment turbine blade geometric shape analysis based on multi-source digital measurement is presented. Its key technologies, such as measurement data collection, blade model reliable alignment, geometric shape deviation fast calculation and visualization, were investigated. Actual measurement data from a structure light measurement device and a Coordinate Measuring Machine(CMM) for turbine blades were used to validate the presented method. The experimental results show that the proposed method is accurate, quick and effective to implement.展开更多
A novel approach named aligned mixture probabilistic principal component analysis(AMPPCA) is proposed in this study for fault detection of multimode chemical processes. In order to exploit within-mode correlations,the...A novel approach named aligned mixture probabilistic principal component analysis(AMPPCA) is proposed in this study for fault detection of multimode chemical processes. In order to exploit within-mode correlations,the AMPPCA algorithm first estimates a statistical description for each operating mode by applying mixture probabilistic principal component analysis(MPPCA). As a comparison, the combined MPPCA is employed where monitoring results are softly integrated according to posterior probabilities of the test sample in each local model. For exploiting the cross-mode correlations, which may be useful but are inadvertently neglected due to separately held monitoring approaches, a global monitoring model is constructed by aligning all local models together. In this way, both within-mode and cross-mode correlations are preserved in this integrated space. Finally, the utility and feasibility of AMPPCA are demonstrated through a non-isothermal continuous stirred tank reactor and the TE benchmark process.展开更多
The story continuationwriting task(SCWT)is anewly emerging proficiency test of National Matriculation English Test(NMET)in three provinces in China.Nevertheless,little is known with respect to how test-takers enhance ...The story continuationwriting task(SCWT)is anewly emerging proficiency test of National Matriculation English Test(NMET)in three provinces in China.Nevertheless,little is known with respect to how test-takers enhance their alignment of situation models in SCWT.This paper reports on a case study of the development of situational alignment of one L2(second language)learner in a senior high school in Jiangsu Province,China,drawing on qualitative data collected via individual faceto-face interviews,and supplemented by face-to-face conversations and email exchanges,over a period of one year.This study investigates how the test-taker enhances her alignment of situation models,and what factors contribute to her development of situational alignment under the framework of a new semiotic research finding,a pan-indexicality model.This paper concludes that test-takers possess the capacity of developing their alignment of situation models,and that a pan-indexicality model,affording opportunities for test-takers to accurately decode the meaning of a linguistic sign at the overall sense level,plays a decisive role in identifying and integrating key dimensions of situation models and eventually enhancing test-takers’situational alignment.This study suggests that a pan-indexicality model can be employed by test-takers to understand the meaning of a linguistic sign at the overall sense level,and test-takers’encyclopedic knowledge,contextual information,and personal emotions regarding a linguistic sign should be highlighted in classroom instruction to help test-takers construct aligned situation models in SCWT.展开更多
文摘The continuation task (Wang & Wang, 2014) proves to have language learning potentials by many empirical studies (Peng, 2018). This study intends to explore its underlining alignment mechanisms through two continuation tasks on English materi-als called Chon and Charles by two Chinese linguistics-major graduates (EFL learners). The results show that alignment is ubiqui-tous both linguistically and thematically, and the reading and writing are tightly coupled. This indicates that the continuation task will significantly benefit second language writing pedagogy if applied appropriately.
基金financially supported by the Major National S&T Project(No.2012ZX04007021)Doctoral fund of China(No.2013YD050008)
文摘A turbine blade is one of the key components of the aero-engine. Its geometric shape should be inspected carefully in the production stage to ensure that it meets the tolerance specification. In the present paper, an approach for investment turbine blade geometric shape analysis based on multi-source digital measurement is presented. Its key technologies, such as measurement data collection, blade model reliable alignment, geometric shape deviation fast calculation and visualization, were investigated. Actual measurement data from a structure light measurement device and a Coordinate Measuring Machine(CMM) for turbine blades were used to validate the presented method. The experimental results show that the proposed method is accurate, quick and effective to implement.
基金Supported by the National Natural Science Foundation of China(61374140)Shanghai Pujiang Program(12PJ1402200)
文摘A novel approach named aligned mixture probabilistic principal component analysis(AMPPCA) is proposed in this study for fault detection of multimode chemical processes. In order to exploit within-mode correlations,the AMPPCA algorithm first estimates a statistical description for each operating mode by applying mixture probabilistic principal component analysis(MPPCA). As a comparison, the combined MPPCA is employed where monitoring results are softly integrated according to posterior probabilities of the test sample in each local model. For exploiting the cross-mode correlations, which may be useful but are inadvertently neglected due to separately held monitoring approaches, a global monitoring model is constructed by aligning all local models together. In this way, both within-mode and cross-mode correlations are preserved in this integrated space. Finally, the utility and feasibility of AMPPCA are demonstrated through a non-isothermal continuous stirred tank reactor and the TE benchmark process.
基金This research was supported by a fund from Social Science Foundation of Soochow University(Award reference:NH33711320)a fund from High Education Teaching Reform Foundation of Soochow University(Award reference:5731502420)。
文摘The story continuationwriting task(SCWT)is anewly emerging proficiency test of National Matriculation English Test(NMET)in three provinces in China.Nevertheless,little is known with respect to how test-takers enhance their alignment of situation models in SCWT.This paper reports on a case study of the development of situational alignment of one L2(second language)learner in a senior high school in Jiangsu Province,China,drawing on qualitative data collected via individual faceto-face interviews,and supplemented by face-to-face conversations and email exchanges,over a period of one year.This study investigates how the test-taker enhances her alignment of situation models,and what factors contribute to her development of situational alignment under the framework of a new semiotic research finding,a pan-indexicality model.This paper concludes that test-takers possess the capacity of developing their alignment of situation models,and that a pan-indexicality model,affording opportunities for test-takers to accurately decode the meaning of a linguistic sign at the overall sense level,plays a decisive role in identifying and integrating key dimensions of situation models and eventually enhancing test-takers’situational alignment.This study suggests that a pan-indexicality model can be employed by test-takers to understand the meaning of a linguistic sign at the overall sense level,and test-takers’encyclopedic knowledge,contextual information,and personal emotions regarding a linguistic sign should be highlighted in classroom instruction to help test-takers construct aligned situation models in SCWT.