991 resultados para soft drink bottles
Resumo:
Soft Computing is an interdisciplinary area that encompasses a variety of computing paradigms. Examples of some popular soft computing paradigms include fuzzy computing, neural computing, evolutionary computing, and probabilistic computing. Soft computing paradigms, in general, aim to produce computing systems/machines that exhibit some useful properties, e.g. making inference with vague and/or ambiguous information, learning from noisy and/or incomplete data, adapting to changing environments, and reasoning with uncertainties. These properties are important for the systems/machines to be useful in assisting humans in our daily activities. Indeed, soft computing paradigms have been demonstrated to be capable of tackling a wide range of problems, e.g. optimization, decision making, information processing, pattern recognition, and intelligent data analysis. A number of papers pertaining to some recent advances in theoretical development and practical application of different soft computing paradigms are highlighted in this special issue.
Resumo:
A soft computing framework to classify and optimize text-based information extracted from customers' product reviews is proposed in this paper. The soft computing framework performs classification and optimization in two stages. Given a set of keywords extracted from unstructured text-based product reviews, a Support Vector Machine (SVM) is used to classify the reviews into two categories (positive and negative reviews) in the first stage. An ensemble of evolutionary algorithms is deployed to perform optimization in the second stage. Specifically, the Modified micro Genetic Algorithm (MmGA) optimizer is applied to maximize classification accuracy and minimize the number of keywords used in classification. Two Amazon product reviews databases are employed to evaluate the effectiveness of the SVM classifier and the ensemble of MmGA optimizers in classification and optimization of product related keywords. The results are analyzed and compared with those published in the literature. The outputs potentially serve as a list of impression words that contains useful information from the customers' viewpoints. These impression words can be further leveraged for product design and improvement activities in accordance with the Kansei engineering methodology.
Resumo:
ABSTRACT
The consumption of sweetened beverages is a known common risk factor for the development of obesity and dental caries in children and children consume sweet drinks frequently and in large volumes from an early age. The aim of this study was to examine factors that influence mothers when choosing drinks for their children.
Method
Semi-structured interviews (n = 32) were conducted with a purposive sample of mothers of young children from Victoria’s Barwon South Western Region (selected from a larger cohort study to include families consuming different types of water, and different socioeconomic status and size). Inductive thematic analysis was conducted on transcribed interviews.
Results
Several themes emerged as influencing child drink choice. Child age: Water was the main beverage for the youngest child however it was seen as more acceptable to give older children sweetened beverages. Child preference and temperament: influencing when and if sweet drinks were given; Family influences such as grandparents increased children’s consumption of sweet drinks, often providing children drinks such as fruit juice and soft drinks regardless of maternal disapproval. The Setting: children were more likely to be offered sweetened drinks either as a reward or treat for good behaviour or when out shopping, out for dinner or at parties.
Conclusions
Limiting intake of sweet drinks is considered an important step for child general and oral health. However, the choice of drinks for children has influences from social, environmental and behavioural domains, indicating that a multi-strategy approach is required to bring about this change.
