Functional Group Analysis of Infrared Spectra Using Auditory Pattern Recognition

使用听觉模式识别进行红外光谱的官能团分析

• 批准号: 8722944
• 负责人: David Lunney
• 金额: $ 8万
• 依托单位: East Carolina University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-09-01 至 1992-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8722944&HistoricalAwards=false
• 关键词: Functional; Group; Analysis; Infrared; Spectra

This project is in the general area of analytical and surface chemistry, broadly defined. The thrust of this experimental activity is an investigation of approaches to extracting molecular functional group information from infrared spectra and presenting this information as auditory patterns, primarily for the benefit of visually impaired scientists. These investigators have previously developed several schemes for presenting tabular and graphical data as electronic music and now seek to extend that work to develop methods that can be used to assist in the detailed analysis of infrared spectra. A central feature of this project will be the use of chemometric techniques to select features from infrared spectra which can distinguish organic functional groups and present these features as auditory patterns that will enable a listener to discern whether or not certain functional groups are likely to be present in a particular molecule. An essential part of this research will be the determination of the features of the spectra to be used for generating the sound patterns. This research has broad applications to chemistry and other experimental fields in science and engineering. Additionally, this project is important to Foundation activities in both the Science and Engineering Education and Computer and Information Science and Engineering Directorates. The techniques to be developed in this research could be useful to sighted as well as to visually impaired scientists.

这个项目是在一般地区的分析和表面 化学，广义的。 这个实验的主旨是 活动是一种研究方法， 红外光谱的分子官能团信息， 将这些信息呈现为听觉模式，主要用于 视障科学家的利益。 这些研究者 我以前开发了几种方案，用于呈现表格 和图形数据作为电子音乐，现在寻求扩展 致力于开发可用于帮助 红外光谱的详细分析。 其核心特征是 项目将使用化学计量学技术来选择 红外光谱的特征，可以区分有机 功能组，并将这些功能作为听觉模式 这将使听众能够辨别某些 官能团可能存在于特定的 分子。 这项研究的一个重要部分将是 确定光谱的特征， 产生声音模式。 这项研究在化学和其他领域有着广泛的应用。 科学和工程的试验田。 此外，本发明还 该项目对基金会在以下两个方面的活动都很重要： 科学与工程教育与计算机与信息 科学和工程理事会。 这些技术 在这项研究中开发的可能是有用的视力以及 给视障科学家。