工匠精神融入高校思想政治教育的路径

以工业4.0时代工匠精神的新内涵为出发点,分析这一时代工匠精神融入高校思想政治教育的必然性。指出工匠精神融入高校思想政治教育是学校、企业、社会和大学生个人多层面发展的需要,基于这一必然性提出工匠精神融入高校思想政治教育的有效路径,以丰富高校思想政治教育的内涵,提升高校思想政治教育的实践性和实效性。     

Using Modules in Teaching Complex Analysis

Abstract

Educational modules can play an important part in revitalizing the teaching and learning of complex analysis. At the Westmont College workshop on the subject in June 2014, time was spent generating ideas and creating structures for module proposals. Sharing some of those ideas and giving a few example modules is the main purpose of this paper. The author has started to construct Mathematica-based educational modules for complex analysis, one of which is available in the online repository of supplemental materials for this article. The author has also begun work on a website called The Complex Moduli Project to make modules in complex analysis available worldwide, and invites others to join him in this endeavor.     

Mathematica软件在温度场计算中的应用

以二维有限差分模型为例,利用Mathematica数学软件讨论了二维稳态温度场中的温度分布问题.展示了Mathematica软件在快速求解温度场问题与可视化方面的优越性.     

AI applications of data sharing in agriculture 4.0: A framework for role-based data access control

Industry 4.0 and the associated IoT and data applications are evolving rapidly and expand in various fields. Industry 4.0 also manifests in the farming sector, where the wave of Agriculture 4.0 provides multiple opportunities for farmers, consumers and the associated stakeholders. Our study presents the concept of Data Sharing Agreements (DSAs) as an essential path and a template for AI applications of data management among various actors. The approach we introduce adopts design science principles and develops role-based access control based on AI techniques. The application is presented through a smart farm scenario while we incrementally explore the data sharing challenges in Agriculture 4.0. Data management and sharing practices should enforce defined contextual policies for access control. The approach could inform policymaking decisions for role-based data management, specifically the data-sharing agreements in the context of Industry 4.0 in broad terms and Agriculture 4.0 in specific.     

高等数学可视化实验教学案例的研究与实现

借助数学软件设计可视化课堂教学案例是实施高等数学现代化教学改革的重要举措之一。可视化课堂教学案例可以将抽象的数学概念、定理、公式与应用,通过数学软件以直观、形象的方式表现出来,在一定程度上起到活跃课堂气氛、激发学习兴趣、促进知识理解、增强教学效果的作用。如何选择合适内容结合数学软件恰当表现,需要在教学实践中不断地探索与研究。文中几种案例的研究与实现方法,对高等数学案例内容的选择和实现具有可供借鉴的作用。     

三坐标测量机与UGNX4.0软件在三线螺旋工件逆向工程中的应用

本文以三线螺旋工件的反求为例,运用逆向工程理论,探讨了对复杂工件进行反求时的逆向思维方式,及利用UG软件对三坐标测量机获得的数据进行处理,构建三维模型的方法。     

Mathematica在电子自旋模型中的应用

主要阐述Mathematica在电子自旋模型中的应用,把深奥难懂的物理问题由抽象转化为形象,便于学生理解及教师教学.     

Text mining of industry 4.0 job advertisements

Since changes in job characteristics in areas such as Industry 4.0 are rapid, fast tool for analysis of job advertisements is needed. Current knowledge about competencies required in Industry 4.0 is scarce. The goal of this paper is to develop a profile of Industry 4.0 job advertisements, using text mining on publicly available job advertisements, which are often used as a channel for collecting relevant information about the required knowledge and skills in rapid-changing industries. We searched website, which publishes job advertisements, related to Industry 4.0, and performed text mining analysis on the data collected from those job advertisements. Analysis of the job advertisements revealed that most of them were for full time entry; associate and mid-senior level management positions and mainly came from the United States and Germany. Text mining analysis resulted in two groups of job profiles. The first group of job profiles was focused solely on the knowledge related to Industry 4.0: cyberphysical systems and the Internet of things for robotized production; and smart production design and production control. The second group of job profiles was focused on more general knowledge areas, which are adapted to Industry 4.0: supply change management, customer satisfaction, and enterprise software. Topic mining was conducted on the extracted phrases generating various multidisciplinary job profiles. Higher educational institutions, human resources professionals, as well as experts that are already employed or aspire to be employed in Industry 4.0 organizations, would benefit from the results of our analysis.     

解题教学的一种方法—分析结构,构造模型

本文讨论了从下四个方面1.依照定义、构造模型;2.类比公式、构造模型;3.依据定理、构造模型;4.根据成题、构造模型,并通过例题进行阐述.     

信息组织4.0时代智慧化知识组织的知识协同服务

信息组织4.0时代下的知识组织帮助图书馆实现了知识协同服务,并能从中实现知识的协调共享交互,还能以知识网络合作的服务来发现信息知识资源,从而产生其应用特征。而智慧化知识组织能在专业特色数据库、科研资源情报、元数据智慧化和协同辅助分析组织等服务中实现信息情报资源的共享和知识扩散,并能在知识协同服务管理中实现科研范式。