In this paper,the static output feedback stabilization for large-scale unstable second-order singular systems is investigated.First,the upper bound of all unstable eigenvalues of second-order singular systems is deriv...In this paper,the static output feedback stabilization for large-scale unstable second-order singular systems is investigated.First,the upper bound of all unstable eigenvalues of second-order singular systems is derived.Then,by using the argument principle,a computable stability criterion is proposed to check the stability of secondorder singular systems.Furthermore,by applying model reduction methods to original systems,a static output feedback design algorithm for stabilizing second-order singular systems is presented.A simulation example is provided to illustrate the effectiveness of the design algorithm.展开更多
This paper compares the effectiveness of one-semester-long instruction of teacher-student collaborative assessment(TSCA)and trained peer review assessment(TPRA).Dependent variables include occurrence of structural ele...This paper compares the effectiveness of one-semester-long instruction of teacher-student collaborative assessment(TSCA)and trained peer review assessment(TPRA).Dependent variables include occurrence of structural elements of the simplified Toulmin model,and improvement of argumentation substance which refers to the quality of reasoning reflected in Toulmin structural elements.Eighty-one sophomore English majors from TSCA group(n=41)and TPRA group(n=40)were asked to construct two argumentative essays at both the beginning and the end of the semester.The results reveal that the TSCA group produced significantly more counterargument claims and rebuttal data.Additionally,the TSCA group significantly outperformed TPRA group in constructing stronger counterargument claim,rebuttal claim and rebuttal data.展开更多
针对现有流水线式事件抽取方法依靠大量训练数据、在低资源情况下难以快速迁移运用等问题,利用提示调优技术,提出适用于低资源场景下的流水线式事件抽取方法(low-resource event extraction method using the multi-information fusion ...针对现有流水线式事件抽取方法依靠大量训练数据、在低资源情况下难以快速迁移运用等问题,利用提示调优技术,提出适用于低资源场景下的流水线式事件抽取方法(low-resource event extraction method using the multi-information fusion with prompt tuning,IFPT)。该方法通过构造语义映射和提示模板充分利用事件类型描述、实体类型等多种信息,能够高效使用有限训练数据,流水线式地完成事件检测和论元抽取。实验结果表明,在低资源情况下,IFPT方法论元抽取性能超过了所有基准模型,采取流水线方式能够达到与SOTA模型相媲美的性能。展开更多
As a subtask of information extraction (IE), which aims to extract structured information from texts, event extraction is to recognize event trigger mentions of a predefined event type and their arguments. In general,...As a subtask of information extraction (IE), which aims to extract structured information from texts, event extraction is to recognize event trigger mentions of a predefined event type and their arguments. In general, event extraction can be divided into two subtasks: trigger extraction and argument extraction. Currently, the frequent existences of unannotated trigger mentions and poor-context trigger mentions impose critical challenges in Chinese trigger extraction. This paper proposes a novel three-layer joint model to integrate three components in trigger extraction, i.e., trigger identification, event type determination, and event subtype determination. In this way, different kinds of evidence on distinct pseudo samples can be well captured to eliminate the harmful effects of those un-annotated trigger mentions. In addition, this paper introduces various types of linguistically driven constraints on the trigger and argument semantics into the joint model to recover those poor-context trigger mentions. The experimental results show that our joint model significantly outperforms the state-of-the-art Chinese trigger extraction and Chinese event extraction as a whole.展开更多
针对国内电网信息模型(Grid Information Model,GIM)建模软件众多,数据来源广泛,施工图设计过程中普遍存在图元属性不合规,导致工程模型无法与建筑信息模型(Building Information Modeling,BIM)平台兼容的问题。基于空间变换矩阵的相关...针对国内电网信息模型(Grid Information Model,GIM)建模软件众多,数据来源广泛,施工图设计过程中普遍存在图元属性不合规,导致工程模型无法与建筑信息模型(Building Information Modeling,BIM)平台兼容的问题。基于空间变换矩阵的相关理论,利用GIM标准基本图元在三维空间中的刚体特性,通过计算机编程实现变电工程GIM模型文件标准基本图元合规化,对数据来源广泛的变电站GIM文件进行快速图元合规化处理,进而提高变电工程三维设计的效率和成品质量。展开更多
基金Project supported by the National Natural Science Foundation of China(Nos.11971303 and 11871330)。
文摘In this paper,the static output feedback stabilization for large-scale unstable second-order singular systems is investigated.First,the upper bound of all unstable eigenvalues of second-order singular systems is derived.Then,by using the argument principle,a computable stability criterion is proposed to check the stability of secondorder singular systems.Furthermore,by applying model reduction methods to original systems,a static output feedback design algorithm for stabilizing second-order singular systems is presented.A simulation example is provided to illustrate the effectiveness of the design algorithm.
基金supported by China Foreign Language Education Fund(10th Batch)granted by Beijing Foreign Studies University,directed by Prof.Xiaoyan XU[Grant Number:ZGWYJYJJ10A130]Sichuan Research Center of Foreign Languages and LiteratureHigher Education Press,directed by Yuexin ZHONG[Grant Number:SCWYGJ21-10]。
文摘This paper compares the effectiveness of one-semester-long instruction of teacher-student collaborative assessment(TSCA)and trained peer review assessment(TPRA).Dependent variables include occurrence of structural elements of the simplified Toulmin model,and improvement of argumentation substance which refers to the quality of reasoning reflected in Toulmin structural elements.Eighty-one sophomore English majors from TSCA group(n=41)and TPRA group(n=40)were asked to construct two argumentative essays at both the beginning and the end of the semester.The results reveal that the TSCA group produced significantly more counterargument claims and rebuttal data.Additionally,the TSCA group significantly outperformed TPRA group in constructing stronger counterargument claim,rebuttal claim and rebuttal data.
文摘针对现有流水线式事件抽取方法依靠大量训练数据、在低资源情况下难以快速迁移运用等问题,利用提示调优技术,提出适用于低资源场景下的流水线式事件抽取方法(low-resource event extraction method using the multi-information fusion with prompt tuning,IFPT)。该方法通过构造语义映射和提示模板充分利用事件类型描述、实体类型等多种信息,能够高效使用有限训练数据,流水线式地完成事件检测和论元抽取。实验结果表明,在低资源情况下,IFPT方法论元抽取性能超过了所有基准模型,采取流水线方式能够达到与SOTA模型相媲美的性能。
文摘As a subtask of information extraction (IE), which aims to extract structured information from texts, event extraction is to recognize event trigger mentions of a predefined event type and their arguments. In general, event extraction can be divided into two subtasks: trigger extraction and argument extraction. Currently, the frequent existences of unannotated trigger mentions and poor-context trigger mentions impose critical challenges in Chinese trigger extraction. This paper proposes a novel three-layer joint model to integrate three components in trigger extraction, i.e., trigger identification, event type determination, and event subtype determination. In this way, different kinds of evidence on distinct pseudo samples can be well captured to eliminate the harmful effects of those un-annotated trigger mentions. In addition, this paper introduces various types of linguistically driven constraints on the trigger and argument semantics into the joint model to recover those poor-context trigger mentions. The experimental results show that our joint model significantly outperforms the state-of-the-art Chinese trigger extraction and Chinese event extraction as a whole.
文摘针对国内电网信息模型(Grid Information Model,GIM)建模软件众多,数据来源广泛,施工图设计过程中普遍存在图元属性不合规,导致工程模型无法与建筑信息模型(Building Information Modeling,BIM)平台兼容的问题。基于空间变换矩阵的相关理论,利用GIM标准基本图元在三维空间中的刚体特性,通过计算机编程实现变电工程GIM模型文件标准基本图元合规化,对数据来源广泛的变电站GIM文件进行快速图元合规化处理,进而提高变电工程三维设计的效率和成品质量。
