Application of Gage R&R methodology for improving the training and evaluation of automatic optical inspection machine operators

The current level of demand by customers in the electronics industry requires the production of parts with an extremely high level of reliability and quality to ensure complete confidence on the end customer. Automatic Optical Inspection (AOI) machines have an important role in the monitoring and detection of errors during the manufacturing process for printed circuit boards. These machines present images of products with probable assembly mistakes to an operator and him decide whether the product has a real defect or if in turn this was an automated false detection. Operator training is an important aspect for obtaining a lower rate of evaluation failure by the operator and consequently a lower rate of actual defects that slip through to the following processes. The Gage R&R methodology for attributes is part of a Six Sigma strategy to examine the repeatability and reproducibility of an evaluation system, thus giving important feedback on the suitability of each operator in classifying defects. This methodology was already applied in several industry sectors and services at different processes, with excellent results in the evaluation of subjective parameters. An application for training operators of AOI machines was developed, in order to be able to check their fitness and improve future evaluation performance. This application will provide a better understanding of the specific training needs for each operator, and also to accompany the evolution of the training program for new components which in turn present additional new difficulties for the operator evaluation. The use of this application will contribute to reduce the number of defects misclassified by the operators that are passed on to the following steps in the productive process. This defect reduction will also contribute to the continuous improvement of the operator evaluation performance, which is seen as a quality management goal.

A Platform to Emulate Ambient Assisted Living Environments

According to the opinion of clinicians, emerging medical conditions can be timely detected by observing changes in the activities of daily living and/or in the physiological signals of a person. To accomplish such purpose, it is necessary to properly monitor both the person’s physiological signals as well as the home environment with sensing technology. Wireless sensor networks (WSNs) are a promising technology for this support. After receiving the data from the sensor nodes, a computer processes the data and extracts information to detect any abnormality. The computer runs algorithms that should have been previously developed and tested in real homes or in living-labs. However, these installations (and volunteers) may not be easily available. In order to get around that difficulty, this paper suggests the making of a physical model to emulate basic actions of a user at home, thus giving autonomy to researchers wanting to test the performance of their algorithms. This paper also studies some data communication issues in mobile WSNs namely how the orientation of the sensor nodes in the body affects the received signal strength, as well as retransmission aspects of a TDMA-based MAC protocol in the data recovery process.

Anotação, numa perspectiva de Direito Penal e de Criminologia, ao Acórdão do Supremo Tribunal de Justiça (português), de 13 de Abril de 2009 [Juiz Conselheiro Rodrigues da COSTA (Relator), Juiz Conselheiro Arménio SOTTOMAYOR (vencido nos termos da declaração junta) e Juiz Conselheiro Mota MIRANDA] - são o «lenocínio» e a prostituição, entre adultos livres, crimes? «Roxanne, you don't have to put on the red light»

Resumo: 1 – Sumário do Acórdão do Supremo Tribunal de Justiça, de 13 de Abril de 2011; 2 – Texto completo do Acórdão do Supremo Tribunal de Justiça, de 13 de Abril de 2009, Juiz Conselheiro Rodrigues da COSTA (Relator), Juiz Conselheiro Arménio SOTTOMAYOR (vencido nos termos da declaração junta) e Juiz Conselheiro Mota MIRANDA: cfr. http://www.dgsi.pt , 26 de Abril de 2011; 3 – Anotação; 3.1 – Introdução à anotação; 3.2 – A questão do suposto «bem jurídico» que seria tutelado pelo crime de «lenocínio» p.p.p.p.p. 169.º do código penal português; 3.2.1 – Ainda a questão do suposto «bem jurídico» que seria tutelado pelo crime de «lenocínio» p.p.p.p.p. 169.º do código penal português: uma maior procura e concretização jurídica e científica; 4 – Conclusões; § Abstract: 1 - Summary of the Sentence of the Supreme Court of Justice, 13 of April of 2011; 2 - Complete text of the Sentence of the Supreme Court of Justice, 13 of April of 2009, Advising Judge Rodrigues da COSTA (Reporter), Advising Judge Arménio SOTTOMAYOR (looser in the terms of the together declaration) and Advising Judge Mota MIRANDA: cfr. http://www.dgsi.pt , 26 of April of 2011; 3 - Notation; 3.1 - Introduction to the notation; 3.2 - The question of the presumption «legally protected interest» that would be tutored person for the crime of «pimpery (“pimping”)» p.p.p.p.p. 169.º of the Portuguese criminal code; 3.2.1 - Still the question of the presumption «legally protected interest» that would be tutored person for the crime of «pimpery» («pimping») p.p.p.p.p. 169.º of the Portuguese criminal code: a bigger search and legal and scientific concretion; 4 - Conclusions;