这篇研究探讨了视频会议技术在服务性学习工作室教学中的作用,以及在这一过程中如何加强社区参与的好处,同时探讨了佐治亚大学(University Georgia,简称UGA)环境和设计学院(College of Environment and Design)2014秋季学年的服务学习...这篇研究探讨了视频会议技术在服务性学习工作室教学中的作用,以及在这一过程中如何加强社区参与的好处,同时探讨了佐治亚大学(University Georgia,简称UGA)环境和设计学院(College of Environment and Design)2014秋季学年的服务学习工作室项目中学生的学习体验。该项目是跨文化和多组织的活动,佐治亚大学学生与非洲裔美国人社区组织——新社区(New Communities)及佐治亚州奥尔巴尼的一个农业教育中心的当地学生合作。本文基于后期调查和参与观察,评估了技术和虚拟工作室教学在以下两个领域的成效:1)增加整个过程中的社区参与;2)为学生提供设计成图、表现和检验的完整经验(Zeisel,1984)。在此过程中,学生不仅与社区伙伴一同制定、交流设计理念,也通过视频会议的在线合作参与他们的设计交互测试。展开更多
This paper explores the application of noncooperative game theory together with the concept of Nash equilibrium to the investigation of some basic problems on multi-scale structure, especially the meso-scale structure...This paper explores the application of noncooperative game theory together with the concept of Nash equilibrium to the investigation of some basic problems on multi-scale structure, especially the meso-scale structure in the multi-phase complex systems in chemical engineering. The basis of this work is the energy-minimization-multi-scale （EMMS） model proposed by Li and Kwauk （1994） and Li, et al. （2013） which identifies the multi-scale structure as a result of ＇compromise-in-competition between dominant mechanisms＇ and tries to solve a multi-objective optimization problem. However, the existing methods often integrate it into a problem of single objective optimization, which does not clearly reflect the ＇compromise-in-competition＇ mechanism and causes heavy computation burden as well as uncertainty in choosing suitable weighting factors. This paper will formulate the compromise in competition mechanism in EMMS model as a noncooperative game with constraints, and will describe the desired stable system state as a generalized Nash equilibrium. Then the authors will investigate the game theoretical approach for two typical systems in chemical engineering, the gas-solid fluidiza- tion （GSF） system and turbulent flow in pipe. Two different cases for generalized Nash equilibrinm in such systems will be well defined and distinguished. The generalize Nash equilibrium will be solved accurately for the GSF system and a feasible method will be given for turbulent flow in pipe. These results coincide with the existing computational results and show the feasibility of this approach, which overcomes the disadvantages of the existing methods and provides deep insight into the mechanisms of multi-scale structure in the multi-phase complex systems in chemical engineering.展开更多
文摘这篇研究探讨了视频会议技术在服务性学习工作室教学中的作用,以及在这一过程中如何加强社区参与的好处,同时探讨了佐治亚大学(University Georgia,简称UGA)环境和设计学院(College of Environment and Design)2014秋季学年的服务学习工作室项目中学生的学习体验。该项目是跨文化和多组织的活动,佐治亚大学学生与非洲裔美国人社区组织——新社区(New Communities)及佐治亚州奥尔巴尼的一个农业教育中心的当地学生合作。本文基于后期调查和参与观察,评估了技术和虚拟工作室教学在以下两个领域的成效:1)增加整个过程中的社区参与;2)为学生提供设计成图、表现和检验的完整经验(Zeisel,1984)。在此过程中,学生不仅与社区伙伴一同制定、交流设计理念,也通过视频会议的在线合作参与他们的设计交互测试。
基金supported by the National Natural Science Foundation of China under Grant Nos.11688101,91634203,61304159by the National Center for Mathematics and Interdisciplinary Sciences
文摘This paper explores the application of noncooperative game theory together with the concept of Nash equilibrium to the investigation of some basic problems on multi-scale structure, especially the meso-scale structure in the multi-phase complex systems in chemical engineering. The basis of this work is the energy-minimization-multi-scale （EMMS） model proposed by Li and Kwauk （1994） and Li, et al. （2013） which identifies the multi-scale structure as a result of ＇compromise-in-competition between dominant mechanisms＇ and tries to solve a multi-objective optimization problem. However, the existing methods often integrate it into a problem of single objective optimization, which does not clearly reflect the ＇compromise-in-competition＇ mechanism and causes heavy computation burden as well as uncertainty in choosing suitable weighting factors. This paper will formulate the compromise in competition mechanism in EMMS model as a noncooperative game with constraints, and will describe the desired stable system state as a generalized Nash equilibrium. Then the authors will investigate the game theoretical approach for two typical systems in chemical engineering, the gas-solid fluidiza- tion （GSF） system and turbulent flow in pipe. Two different cases for generalized Nash equilibrinm in such systems will be well defined and distinguished. The generalize Nash equilibrium will be solved accurately for the GSF system and a feasible method will be given for turbulent flow in pipe. These results coincide with the existing computational results and show the feasibility of this approach, which overcomes the disadvantages of the existing methods and provides deep insight into the mechanisms of multi-scale structure in the multi-phase complex systems in chemical engineering.
