自动驾驶汽车数据分析系统中基于1С:enterprise 8.3平台的神经网络

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH

Informatics in Education Pub Date : 2021-06-04 DOI:10.32517/0234-0453-2021-36-3-50-55

А. А. Prokurovsky, Ринат Гематудинов

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引用次数: 0

摘要

现代世界自动驾驶汽车的发展每年都在加速，很明显，如果没有特殊的容错软件工具，这种汽车的安全行驶是不可能的。随着技术的进步，这些软件工具越来越多地包含人工智能的元素。目前，基于1C:Enterprise 8.3平台的灵活机制，正在开发一种应用解决方案，可以分析自动驾驶汽车在公共道路上的行为。该软件可用于数理统计相关领域的学生教育活动，也可用于研究优化自动驾驶汽车车载计算机运行的数学方法。考虑到教育项目的增长，其中包括应用解决方案的研究和在1C:Enterprise 8.3平台上开发此类解决方案，在教育过程中使用所讨论的软件对学生来说是可用的，对他们来说是有用的和有趣的。使用数据布局系统的大量报告的存在，可以准确地分析自动驾驶汽车在学生或研究人员进行研究活动所必需的部分的运动。

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Neural networks based on the 1С:enterprise 8.3 platform in data analysis systems for self-driving cars

The development of self-driving cars in the modern world is accelerating every year, and it is obvious that the safe movement of such cars is impossible without special fault-tolerant software tools. With the improvement of technology, such software tools increasingly include elements of artificial intelligence. Currently, on the basis of flexible mechanisms of the 1C:Enterprise 8.3 platform, an application solution is being developed that allows to analyze the behavior of an self-driving car on a public road. Such software can be used in the educational activities of students in areas related to mathematical statistics, as well as to study mathematical methods that optimize the operation of the on-board computer of a driving self-driving car. Considering the growth of educational programs, which include the study of applied solutions and the development of such solutions on the 1C:Enterprise 8.3 platform, the use of the software in question in the educational process is available to students, useful and interesting for them. The presence of a large number of reports using the data layout system will allow to analyze the movement of self-driving cars in precisely those sections that are necessary for a student or researcher to conduct research activities.

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来源期刊

Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

6.10

自引率

3.70%

发文量

审稿时长

20 weeks

期刊介绍： INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.