Contribution of research & development to student's motivation

Paolo Di Carlo, J. Barsics, Cecile Moitroux
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引用次数: 2

Abstract

A more than two year long and successful R&D project was carried out in partnership with another university and companies interested in the automation of aggregate size analysis in the mineral industry, with an overall objective to provide real-time feedback to the plant and to decrease energy consumption. The kernel of the project is a 3D vision system which exploits both CPU and GPU capabilities of personal computers to provide real time analysis and further processing. The system currently acquires one 1536 by 3072 pixels image per second. Images are processed and analysed in real-time to extract approximately 150000 particles every hour. A history of each computed parameter is available through a database where all of them are stored. The main challenge was optimization of the code which is now successful and the provided processes are nowadays in use and well running since several months. The main young software-developer researcher of the project was offered the opportunity to make a presentation of his work to a group of computer science (CS) students in the context of an image processing and industrial vision course (Master 2 level). They learned about application design, image processing tools and subtleties, code optimization, state-of-the-art GPUs and their parallel processors. The harmony and efficiency with which knowledge from distinct domains was applied in his work led students to adopt and successfully implement optimization techniques throughout their lab assignment. Compared to previous years, the student's achievements were significantly and positively influenced by the R&D point of view added to the course. It's also worth noting that computing students were particularly interested by the practical optimization concepts introduced during the presentation. Evidently, integrating theory from different courses into a single project presentation eliminates the singular difficulties and highlights the relevant features of each course. Every technical aspect of the R&D project and students achievements is described.
研究和发展对学生学习动机的贡献
与另一所大学和对矿物工业骨料粒度分析自动化感兴趣的公司合作,进行了为期两年多的成功研发项目,其总体目标是向工厂提供实时反馈并减少能源消耗。该项目的核心是一个3D视觉系统,它利用个人电脑的CPU和GPU功能来提供实时分析和进一步处理。该系统目前每秒获取一张1536 × 3072像素的图像。图像被实时处理和分析,每小时提取大约15万个粒子。每个计算参数的历史记录都可以通过存储所有参数的数据库获得。主要的挑战是代码的优化,现在已经成功了,所提供的进程现在正在使用,并且已经运行了几个月了。该项目的主要年轻软件开发人员研究员有机会在图像处理和工业视觉课程(硕士2级)的背景下向一群计算机科学(CS)学生展示他的工作。他们学习了应用程序设计、图像处理工具和微妙之处、代码优化、最先进的gpu及其并行处理器。在他的工作中,来自不同领域的知识被和谐而高效地应用,这使得学生们在他们的实验作业中采用并成功地实施了优化技术。与往年相比,课程中加入的研发观点对学生的成绩有显著的积极影响。同样值得注意的是,计算机专业的学生对演讲中介绍的实用优化概念特别感兴趣。显然,将不同课程的理论整合到一个项目演示中可以消除单一的困难,并突出每门课程的相关特征。描述了研发项目的每个技术方面和学生的成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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