ai驱动的5G物联网电子鼻用于威士忌分类

IF 3.4 2区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jaume Segura-Garcia, Rafael Fayos-Jordan, Mohammad Alselek, Sergi Maicas, Miguel Arevalillo-Herraez, Enrique A. Navarro-Camba, Jose M. Alcaraz-Calero
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引用次数: 0

摘要

主要贡献是设计、实现和验证一个完整的人工智能驱动的电子鼻架构,以执行威士忌和丙酮的分类。为了预测最终产品的质量,这种分类在威士忌的酿酒厂生产线上至关重要。在这项工作中,我们研究了电子鼻(基于单壁碳纳米管阵列)的应用,以区分两种不同的物质,如威士忌和丙酮(作为蒸馏过程的子产品),以及同一物质的三种不同类型的区分,如三种类型的威士忌。我们研究了不同的气味分类策略,提出了一种基于随机森林的分类方法,准确率达到99%,推理时间在1.8秒以下。在明显不同物质的情况下,作为威士忌蒸馏过程的子产品,所提出的程序在分类过程中达到了很高的准确度,准确率在96%左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-driven 5G IoT e-nose for whiskey classification

The main contribution is the design, implementation and validation of a complete AI-driven electronic nose architecture to perform the classification of whiskey and acetones. This classification is of paramount important in the distillery production line of whiskey in order to predict the quality of the final product. In this work, we investigate the application of an e-nose (based on arrays of single-walled carbon nanotubes) to the distinction of two different substances, such as whiskey and acetone (as a subproduct of the distillation process), and discrimination of three different types of the same substance, such as three types of whiskies. We investigated different strategies to classify the odor data and provided a suitable approach based on random forest with accuracy of 99% and with inference times under 1.8 seconds. In the case of clearly different substances, as subproducts of the whiskey distillation process, the procedure presented achieves a high accuracy in the classification process, with an accuracy around 96%.

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来源期刊
Applied Intelligence
Applied Intelligence 工程技术-计算机:人工智能
CiteScore
6.60
自引率
20.80%
发文量
1361
审稿时长
5.9 months
期刊介绍: With a focus on research in artificial intelligence and neural networks, this journal addresses issues involving solutions of real-life manufacturing, defense, management, government and industrial problems which are too complex to be solved through conventional approaches and require the simulation of intelligent thought processes, heuristics, applications of knowledge, and distributed and parallel processing. The integration of these multiple approaches in solving complex problems is of particular importance. The journal presents new and original research and technological developments, addressing real and complex issues applicable to difficult problems. It provides a medium for exchanging scientific research and technological achievements accomplished by the international community.
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