The development of MOOC directly promotes the reform of physical classroom teaching,and leads to the reform of teaching mode and teaching method in the direction of improving teachers’teaching quality and students’l...The development of MOOC directly promotes the reform of physical classroom teaching,and leads to the reform of teaching mode and teaching method in the direction of improving teachers’teaching quality and students’learning effect and innovation ability.In order to meet the needs of MOOC teaching reform,based on the MOOC built by ourselves and running on the MOOC platform,this paper puts forward the hybrid teaching mode reform of the core courses of an computer specialty,which combines online and offline in depth.Sort out the knowledge system of an embedded system,build MOOC and put it online on domestic well-known MOOC platform,compile supporting teaching materials,and form an organic combination of online and offline teaching resources;proposing a hybrid teaching mode of online and offline combination,which focuses on interactive classroom teaching reform.On the basis of organizing students to carry out online autonomous learning,online and offline entity classroom carries out interactive classroom teaching reform;Using intelligent teaching tools to promote students to use mobile phones to participate in classroom learning,improve the universality of interactive teaching,carry out flipped classroom teaching,and improve the depth of interactive teaching.Based on the independent construction of MOOC,the hybrid teaching is carried out,which improves the pertinence of online teaching organization.The information-based teaching and flipped classroom teaching in the physical classroom improve the students’ability to solve problems,and lay a solid foundation for the improvement of teaching quality and learning effect.展开更多
How to extract optimal composite attributes from a variety of conventional seismic attributes to detect reservoir features is a reservoir predication key,which is usually solved by reducing dimensionality.Principle co...How to extract optimal composite attributes from a variety of conventional seismic attributes to detect reservoir features is a reservoir predication key,which is usually solved by reducing dimensionality.Principle component analysis（PCA） is the most widely-used linear dimensionality reduction method at present.However,the relationships between seismic attributes and reservoir features are non-linear,so seismic attribute dimensionality reduction based on linear transforms can＇t solve non-linear problems well,reducing reservoir prediction precision.As a new non-linear learning method,manifold learning supplies a new method for seismic attribute analysis.It can discover the intrinsic features and rules hidden in the data by computing low-dimensional,neighborhood-preserving embeddings of high-dimensional inputs.In this paper,we try to extract seismic attributes using locally linear embedding（LLE）,realizing inter-horizon attributes dimensionality reduction of 3D seismic data first and discuss the optimization of its key parameters.Combining model analysis and case studies,we compare the dimensionality reduction and clustering effects of LLE and PCA,both of which indicate that LLE can retain the intrinsic structure of the inputs.The composite attributes and clustering results based on LLE better characterize the distribution of sedimentary facies,reservoir,and even reservoir fluids.展开更多
树莓派凭借ARM架构及丰富接口资源,为学生理解微控制器通信、中断处理及时钟同步等底层原理提供实践平台,但传统开发模式面临调试效率低、代码不规范以及技术前沿性不足的瓶颈。为此,文章提出在“嵌入式系统原理与应用”课程中融入Visua...树莓派凭借ARM架构及丰富接口资源,为学生理解微控制器通信、中断处理及时钟同步等底层原理提供实践平台,但传统开发模式面临调试效率低、代码不规范以及技术前沿性不足的瓶颈。为此,文章提出在“嵌入式系统原理与应用”课程中融入Visual Studio Code-AI(VSCode-AI)的双轨融合教学模式,对教学内容、教学方式与教学评价3方面进行改革,该模式通过在树莓派上部署VSCode智能开发环境(集成实时语法纠错与动态编译监测功能)并融合语音识别引擎与大模型实现语音指令驱动代码生成。实践验证表明,该模式使调试效率提升,生成代码在Raspberry Pi OS环境下100%编译执行,有效解决了技术脱节与开发效率低问题。展开更多
基金supported by 2016 Shandong undergraduate university teaching reform research project“based on large-scale open online courses(MOOC)to promote innovation mode exploration and practice of higher education teaching reform”(No.B2016Z018)Research and application of hybrid teaching mode based on“MOOC+spocs+flipped classroom”(No.B2016Z020)+3 种基金“Research and Practice on the training mode of engineering leading talents for the needs of high-end talents in the industry”(No.B2016M016)Research and practice project of“exploration and application of MOOC based teaching mode in Higher Education”of the Department of higher education of the Ministry of education,2016 research project of teaching reform of undergraduate colleges and universities in Shandong Province(B2016Z018、B2016Z020、B2016M016)Research project of education and teaching reform of Harbin Institute of Technology(Weihai)in 2019(BKJY201904、BKJY201905、BKQN201912)2019 Harbin Institute of Technology(Weihai)2019“curriculum ideological and political”special curriculum construction project.
文摘The development of MOOC directly promotes the reform of physical classroom teaching,and leads to the reform of teaching mode and teaching method in the direction of improving teachers’teaching quality and students’learning effect and innovation ability.In order to meet the needs of MOOC teaching reform,based on the MOOC built by ourselves and running on the MOOC platform,this paper puts forward the hybrid teaching mode reform of the core courses of an computer specialty,which combines online and offline in depth.Sort out the knowledge system of an embedded system,build MOOC and put it online on domestic well-known MOOC platform,compile supporting teaching materials,and form an organic combination of online and offline teaching resources;proposing a hybrid teaching mode of online and offline combination,which focuses on interactive classroom teaching reform.On the basis of organizing students to carry out online autonomous learning,online and offline entity classroom carries out interactive classroom teaching reform;Using intelligent teaching tools to promote students to use mobile phones to participate in classroom learning,improve the universality of interactive teaching,carry out flipped classroom teaching,and improve the depth of interactive teaching.Based on the independent construction of MOOC,the hybrid teaching is carried out,which improves the pertinence of online teaching organization.The information-based teaching and flipped classroom teaching in the physical classroom improve the students’ability to solve problems,and lay a solid foundation for the improvement of teaching quality and learning effect.
基金National Key Science & Technology Special Projects(Grant No.2008ZX05000-004)CNPC Projects(Grant No.2008E-0610-10).
文摘How to extract optimal composite attributes from a variety of conventional seismic attributes to detect reservoir features is a reservoir predication key,which is usually solved by reducing dimensionality.Principle component analysis（PCA） is the most widely-used linear dimensionality reduction method at present.However,the relationships between seismic attributes and reservoir features are non-linear,so seismic attribute dimensionality reduction based on linear transforms can＇t solve non-linear problems well,reducing reservoir prediction precision.As a new non-linear learning method,manifold learning supplies a new method for seismic attribute analysis.It can discover the intrinsic features and rules hidden in the data by computing low-dimensional,neighborhood-preserving embeddings of high-dimensional inputs.In this paper,we try to extract seismic attributes using locally linear embedding（LLE）,realizing inter-horizon attributes dimensionality reduction of 3D seismic data first and discuss the optimization of its key parameters.Combining model analysis and case studies,we compare the dimensionality reduction and clustering effects of LLE and PCA,both of which indicate that LLE can retain the intrinsic structure of the inputs.The composite attributes and clustering results based on LLE better characterize the distribution of sedimentary facies,reservoir,and even reservoir fluids.
文摘树莓派凭借ARM架构及丰富接口资源,为学生理解微控制器通信、中断处理及时钟同步等底层原理提供实践平台,但传统开发模式面临调试效率低、代码不规范以及技术前沿性不足的瓶颈。为此,文章提出在“嵌入式系统原理与应用”课程中融入Visual Studio Code-AI(VSCode-AI)的双轨融合教学模式,对教学内容、教学方式与教学评价3方面进行改革,该模式通过在树莓派上部署VSCode智能开发环境(集成实时语法纠错与动态编译监测功能)并融合语音识别引擎与大模型实现语音指令驱动代码生成。实践验证表明,该模式使调试效率提升,生成代码在Raspberry Pi OS环境下100%编译执行,有效解决了技术脱节与开发效率低问题。
