Human Processor Interface for ICP-AES: Concepts and Implementation

Author:

Karanassios V.1,Horlick G.1

Affiliation:

1. Department of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada

Abstract

A dual-processor, distributed-intelligence approach to the computerization of an atomic emission spectrometer is presented. One processor handles data acquisition and instrument control and the second processor handles data presentation and user interaction. In particular, a unique human processor interface (HPI) has been developed for user interaction. A key goal in the development of the interface was to make the front-end processor's behavior “instrument-like,” as opposed to making the instrument “computer-like”: that is, to implement an instrument metaphor. This term is derived in concept from the desk-top metaphor: the instrument is mapped onto the screen where it appears as a pictorial representation of the original. In one's mapping the instrument, its dials, its controls, its indicators, and its front panels onto the screen and utilizing a point-and-click syntax in conjunction with a mouse, pull-down menus, and multiple overlapping windows, and by one's treating the entire screen as a menu, operating the instrument becomes an intuitive activity rather than a memorization test. By the clicking of the mouse at any location on this instrument metaphor, multiple levels of overlapping windows appear on the screen that provide additional graphic and text information. In our application, this metaphor is also used as a vehicle for direct instrument control from the computer's screen. In this paper, the distributed-intelligence system is described, the instrument metaphor concept is explained, and its application to ICP-AES instrumentation is illustrated. As part of this application, an extensive, graphically accessible atomic spectroscopy data base, complete with an elaborate help and explain facility, has been developed.

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3