Dialogues are fundamentally driven by xu(C. Wang, 2016, 2017), a Chinese word meaning continuation that captures the process in which interlocutors participate in interaction through the actions of(utterance) completi...Dialogues are fundamentally driven by xu(C. Wang, 2016, 2017), a Chinese word meaning continuation that captures the process in which interlocutors participate in interaction through the actions of(utterance) completion,(content) extension, and(topic) creation(CEC). This article reports a conversation analytic case study designed to investigate how the continuation strategies of CEC are used in real-time communication to achieve mutual understanding, and thus to construct intersubjectivity(Verhagen, 2005) and promote the development of second language(L2)interactional competence. Our data consisted of audio and video recordings of a 25-minute conversation between two L2 English speakers, one expert and one novice, and a stimulated recall interview with them. Results revealed that the expert employed CEC at the early stage of interaction to maintain successful communication, and the novice gradually aligned with the expert and used CEC to achieve mutual understanding, construct intersubjectivity, and create opportunities for interaction and learning at the late stage, displaying her development of L2 interactional competence. Our findings have useful implications for theoretical and methodological development of the xu-argument studies as well as for xu-based L2 pedagogy.展开更多
Reasonable selection and optimization of a filter used in model estimation for a multiple model structure is the key to improve tracking accuracy of maneuvering target.Combining with the cubature Kalman filter with it...Reasonable selection and optimization of a filter used in model estimation for a multiple model structure is the key to improve tracking accuracy of maneuvering target.Combining with the cubature Kalman filter with iterated observation update and the interacting multiple model method,a novel interacting multiple model algorithm based on the cubature Kalman filter with observation iterated update is proposed.Firstly,aiming to the structural features of cubature Kalman filter,the cubature Kalman filter with observation iterated update is constructed by the mechanism of iterated observation update.Secondly,the improved cubature Kalman filter is used as the model filter of interacting multiple model,and the stability and reliability of model identification and state estimation are effectively promoted by the optimization of model filtering step.In the simulations,compared with classic improved interacting multiple model algorithms,the theoretical analysis and experimental results show the feasibility and validity of the proposed algorithm.展开更多
文摘Dialogues are fundamentally driven by xu(C. Wang, 2016, 2017), a Chinese word meaning continuation that captures the process in which interlocutors participate in interaction through the actions of(utterance) completion,(content) extension, and(topic) creation(CEC). This article reports a conversation analytic case study designed to investigate how the continuation strategies of CEC are used in real-time communication to achieve mutual understanding, and thus to construct intersubjectivity(Verhagen, 2005) and promote the development of second language(L2)interactional competence. Our data consisted of audio and video recordings of a 25-minute conversation between two L2 English speakers, one expert and one novice, and a stimulated recall interview with them. Results revealed that the expert employed CEC at the early stage of interaction to maintain successful communication, and the novice gradually aligned with the expert and used CEC to achieve mutual understanding, construct intersubjectivity, and create opportunities for interaction and learning at the late stage, displaying her development of L2 interactional competence. Our findings have useful implications for theoretical and methodological development of the xu-argument studies as well as for xu-based L2 pedagogy.
基金Supported by the National Nature Science Foundations of China(No.61300214,U1204611,61170243)the Science and Technology Innovation Team Support Plan of Education Department of Henan Province(No.13IRTSTHN021)+3 种基金the Science and Technology Research Key Project of Education Department of Henan Province(No.13A413066)the Basic and Frontier Technology Research Plan of Henan Province(No.132300410148)the Funding Scheme of Young Key Teacher of Henan Province Universitiesthe Key Project of Teaching Reform Research of Henan University(No.HDXJJG2013-07)
文摘Reasonable selection and optimization of a filter used in model estimation for a multiple model structure is the key to improve tracking accuracy of maneuvering target.Combining with the cubature Kalman filter with iterated observation update and the interacting multiple model method,a novel interacting multiple model algorithm based on the cubature Kalman filter with observation iterated update is proposed.Firstly,aiming to the structural features of cubature Kalman filter,the cubature Kalman filter with observation iterated update is constructed by the mechanism of iterated observation update.Secondly,the improved cubature Kalman filter is used as the model filter of interacting multiple model,and the stability and reliability of model identification and state estimation are effectively promoted by the optimization of model filtering step.In the simulations,compared with classic improved interacting multiple model algorithms,the theoretical analysis and experimental results show the feasibility and validity of the proposed algorithm.
