In this paper, we present a method that uses a physics-based virtual environment to evaluate the feasibility of neural network-based generated designs. Deep learning models rely on large training data sets that are used for training. These training data sets are typically validated by human designers that have a conceptual understanding of the problem being solved. However, the requirement of human training data severely constrains the size and availability of training data for computer generated models due to the manual process of either creating or labeling such data sets. Furthermore, there may be misclassification errors that result from human labeling. To mitigate these challenges, we present a physics-based simulation environment that helps users discover correlations between the form of a generated design and the physical constraints that relate to its function. We hypothesize that training data that includes machine validated designs from a physics-based virtual environment will increase the probability of generative models creating functionally-feasible design concepts. A case study involving a generative model that is trained on over 70,000 human 2D boat sketches is used to test the hypothesis. Knowledge gained from testing this hypothesis will provide human designers with insights into the importance of training data in the resulting design solutions generated by deep neural networks.
The best way to equip students with the skills to lead and thrive in a global economy is to teach innovation, entrepreneurship and leadership, and make them aware of sustainability. Students can develop the skills to identify and capitalize on new business opportunities through an active learning process. Universities provide students with the knowledge, and serve as the fuel for innovation and entrepreneurship [1]. Problem solving develops complex thinking ability in the students [2]. This is becoming increasingly critical as in many industries technological innovation is now the most important driver for competitive success. Global competition has also put pressure on the firms to continuously innovate [3]. There is also a need to continuously challenge given this the students need to think about building a sustainable society. An increased focus on sustainability will promote meeting the needs of the current generation without compromising the ability of future generations to meet their needs [4].
The reconstruction of a three dimensional representation of arbitrary vascular beds from multiple projections is discussed. Operator notation is used to represent algorithms used in the reconstruction process. These operators provide the interconversion of the various data structures. The flow of the reconstruction process is reviewed and examples of reconstruction are given. Applications to fluid dynamic analysis of vascular function are presented.
This presentation examines the value of industry/Education cooperation in regard to improving product development and sales as well as examining it's effect on student scores, skills, and self esteem. Additionally, the success of the resulting products in the marketplace is examined. The cost of product development has caused a need for accessible and economical design and prototyping of parts and assemblies Both small business and privately generated product ideas are turned over to Engineering Technology and Technical Graphics students for design, drawing, and prototyping.Beneficial and detrimental factors to industrial and educational cooperation are discussed. Significant increases in standardized test scores and design skills were noted in some cases after the cooperative development of these designs and prototypes. Various uses for product design and prototyping partnerships in education and industry are examined and their benefits to students, educators, administrators, and industry are examined. Individual case studies are examined with the following general results:• Successful economic products are rare.• Problem solving and technical skill increases in students result from these ventures.• That the Engineering Technology and Technical Graphics student's ability to solve design problems and enthusiasm improve as student's progress through their class work with further increases after the cooperative ventures. • An educational and industrial consortium improves student chances for employment and interaction with industry. • Recruitment and retention benefits may result from the publicizing of these efforts.• Educational / Industrial cooperation benefits both groups and help defray the costs of acquisition of advanced technology and getting products to market. While the time constraints placed on both the students and the instructors is a problem, the benefits are great enough to make this cooperation worthwhile Cooperative ventures of this kind result in more ideas going into production, increase student learning, and help small-scale production facilities and private individuals increase their profitability.
This article will focus on comparing the effectiveness of on-line courses versus regular classroom based learning for the past three years. We will compare the time it takes to develop a web course to a traditional course and the benefits of developing a web course. We will also compare enrollment in a web course with a traditional course and try to explain why they are different. We will also look at student evaluations and try to explain the results. We will look at pitfalls with web courses, including the dropout rate. We will compare the grades of regular course with a web course and try to explain the results. We will also look at the results of comparing web courses to regular courses with regards to students who took a second continuation course for the past two years. University support is vital for offering courses online. We will look at training needs for faculty to offer courses online. Online grade information, and bulletin boards are generally used with web courses and faculty need training in incorporating these tools in their web courses. Some universities also offer incentives such as a reduced course load the first time the course is taught, and/or a monetary reward the first time a course is taught. We will examine the incentives that can be offered to faculty in order to increase the development of web courses.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.