文章基本信息

标题：SPIRAL DYNAMICS OPTIMIZATION-BASED ALGORITHM FOR HUMAN HEALTH IMPROVEMENT
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作者：Koffka Khan
期刊名称：Computer Sciences and Telecommunications
印刷版ISSN：1512-1232
出版年度：2013
卷号：37
期号：1
页码：31-38
出版社：Internet Academy
摘要：A study using the spiral dynamics optimization algorithm to evaluate the human health effects of using computer-aided workstations on employees. We collected data for human health risk on employees at their workplaces, analyzed the data and proposed corrective measures applying our methodology. It includes a checklist with nine human health dimensions: work organization, displays, input devices, furniture, work space, environment, software, health hazards and satisfaction. By the checklist, data on human health risk are collected. For the calculation of a human health HS risk index a neural-swarm spiral dynamics search (NSSS) optimization-based algorithm has been employed. Based on the human health risk index, I HS four groups of human health risk severity are determined: low, moderate, high and extreme HS risk. By this index HS problems are allocated and corrective measures can be applied. This approach is illustrated and validated by a case study. An important advantage of the approach is its easy use and HS index methodology speedily pointing out individual employee specific HS risk.
关键词：Human health; Risk; Employee; Checklist; Neuro-Swarm; Spiral ; dynamics Optimization; Algorithm