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The Development of Cyber-Physical Framework for Classifying Health Beverage Flavor for the Ageing Society

机译：衰老社会对健康饮料风味进行网络 - 物理框架的发展

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The objective of this research is to develop a cyber-physical framework for classifying health beverage preference (taste, colour, and odour) that appropriate for the ageing society. There are eight health beverages and the questionnaires are used to gather the preference information for taste, colour and odour from the ageing society groups, according to United Nations’ recommendation, that are aged between 60-65 years and those over 65 years. In order to recommend health beverage for the ageing society, the artificial neural network (ANN) with multilayer perceptron architecture (MLP) has been applied to classify the beverage preference for the ageing consumer. Web application has been developed to collect the health beverage preference information of consumers and shows the recommended health beverage. After that, the results from the Web application are demonstrated into a cyber-physical vending machine for suggesting the appropriate health beverage for the ageing consumer groups. The results of this research can benefit consumers and manufacturers. The consumer gains the knowledge how to select the appropriate health beverage according to their health. In addition, the manufacturers can produce products that match the consumer’s preference.
机译：本研究的目的是开发一种用于对适合老龄化社会的健康饮料偏好（味道，颜色和气味）进行分类的网络物理框架。据联合国“建议”，有八个健康饮料，调查问卷，用于收集老龄化协会团体的味道，色彩和气味的偏好信息，这是60-65岁及65岁以上的人。为了向老龄化社会推荐健康饮料，已经应用了具有多层的Herceptron架构（MLP）的人工神经网络（ANN）来对老化消费者的饮料偏好进行分类。已经开发了Web应用程序来收集消费者的健康饮料偏好信息，并显示推荐的健康饮料。之后，媒体应用的结果被证明到网络 - 物理自动售货机中，用于表明老年消费群体的适当健康饮料。该研究的结果可以使消费者和制造商受益。消费者获得了如何根据健康选择适当的健康饮料。此外，制造商可以生产与消费者偏好匹配的产品。

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