Providing Decision Support in Career Guidance Through the use of Machine Vision

Iuliia Tarasova, V. V. Andreev, A. Chechin, Denis V. Toskin
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引用次数: 1

Abstract

This paper is devoted to the review of the results of the development and implementation of the ColorUnique Pro career guidance software package in the career guidance activities of higher educational institutions. The review begins with the initial formulation of the problem, justification of the use of neural networks as the basis of one of the classifiers, consideration of the results of experiments and then – the introduction of a software package. At the end of the article, prospects for further research are described, such as the creation of a three-dimensional map of types and subtypes and the further identification of new subtypes. The possibility of using additional methods of analysis, detection and classification is also being considered in order to study the influence on the definition of ISA of such features of the images obtained as «demonstrative» and «true» structures, as well as the presence of a «background» that does not contain characteristic elements. In addition to neural networks, the authors also used the «sliding» window image processing method, as a result, the software package includes two classifiers that analyze images separately, however, in the future, the results of the analysis of both classifiers are compared by an expert, since some subtypes can only be determined by joint interpretation.
利用机器视觉为职业指导提供决策支持
本文专门回顾了在高等教育机构的职业指导活动中开发和实施ColorUnique Pro职业指导软件包的成果。文章从问题的初步提出、使用神经网络作为其中一个分类器的基础的理由、对实验结果的考虑以及软件包的介绍开始。文章最后介绍了进一步研究的前景,如创建类型和亚型的三维地图以及进一步识别新的亚型。此外,还考虑了使用其他分析、检测和分类方法的可能性,以研究 "示范性 "和 "真实 "结构等图像特征对 ISA 定义的影响,以及不包含特征元素的 "背景 "的存在。除神经网络外,作者还使用了 "滑动 "窗口图像处理方法,因此,软件包中包含了两个分别分析图像的分类器,不过,由于某些子类型只能通过联合解释来确定,因此,今后将由专家对两个分类器的分析结果进行比较。
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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