Produto Aquaoli: projeto de design industrial em aquariofilia

Esta dissertação de mestrado, apresenta a elaboração de um projeto de design industrial em aquariofilia - Aquaoli. Pretende-se criar uma nova tipologia de aquários inovadora e distinta, projetando o produto com o intuito deste cumprir com todos os parâmetros exigidos pelo mercado e produção do mesmo. Definiu-se a criança entre os 7 e os 11 anos como público-alvo deste projeto. Assim, pretende-se um resultando promissor para a empresa AQUATLANTIS apostar e lucrar com o seu desenvolvimento. Para que este projeto obtivesse bons resultados, foi realizada uma pesquisa aprofundada, desde a aquariofilia (a sua história, biologia e mercado), do aquariófilo atual (psicologia do consumidor e as suas responsabilidades), até ao estado da arte (da AQUATLANTIS e dos produtos existentes no mercado). Este projeto foi desenvolvido em várias vertentes de design, procurando ser o mais completo possível. Isso foi viável com o desenvolvimento do produto e de todos os seus componentes em três dimensões, o desenvolvimento de maquetes e de protótipos do produto, o desenvolvimento do packaging e campanha promocional, a definição de preço custo e métodos de produção dos objetos, entre outros parâmetros. Obteve-se um projeto de design industrial bastante completo e com potencial para ser implementado no mercado, cativando a atenção do público-alvo e obtendo vendas elevadas. O aquário apresenta-se distinto dos existentes, principalmente no facto de ser modular, muito interativo, pedagógico e incorporar uma estrutura invulgar e particularmente cativante para as crianças. Este produto subdivide-se em dois conjuntos vendidos separadamente (Aquarium Pack e Kit-1 Pack), apresentando assim uma estratégia de marketing que pretende que a criança que o adquira pela primeira vez, venha a desejar adquirir mais produtos desta gama, procurando aumentar a sua estante e/ou o número de aquários e animais que incorpora na mesma.

Automation & control remote laboratory: evaluating a cooperative methodology

This paper presents a study carried out in order to evaluate the students' perception in the development and use of remote Control and Automation education kits developed by two Universities. Three projects, based on real world environments, were implemented, being local and remotely operated. Students implemented the kits using the theoretical and practical knowledge, being the teachers a catalyst in the learning process. When kits were operational, end-user students got acquainted to the kits in the course curricula units. It is the author's believe that successful results were achieved not only in the learning progress on the Automation and Control fields (hard skills) but also on the development of the students soft skills, leading to encouraging and rewarding goals, motivating their future decisions and promoting synergies in their work. The design of learning experimental kits by students, under teacher supervision, for future use in course curricula by enduser students is an advantageous and rewarding experience.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Accuracy Comparison of Implant Impression Techniques: A Systematic Review

Background: Several studies link the seamless fit of implant-supported prosthesis with the accuracy of the dental impression technique obtained during acquisition. In addition, factors such as implant angulation and coping shape contribute to implant misfit. Purpose: The aim of this study was to identify the most accurate impression technique and factors affecting the impression accuracy. Material and Methods: A systematic review of peer-reviewed literature was conducted analyzing articles published between 2009 and 2013. The following search terms were used: implant impression, impression accuracy, and implant misfit.A total of 417 articles were identified; 32 were selected for review. Results: All 32 selected studies refer to in vitro studies. Fourteen articles compare open and closed impression technique, 8 advocate the open technique, and 6 report similar results. Other 14 articles evaluate splinted and non-splinted techniques; all advocating the splinted technique. Polyether material usage was reported in nine; six studies tested vinyl polysiloxane and one study used irreversible hydrocolloid. Eight studies evaluated different copings designs. Intraoral optical devices were compared in four studies. Conclusions: The most accurate results were achieved with two configurations: (1) the optical intraoral system with powder and (2) the open technique with splinted squared transfer copings, using polyether as impression material.