The aim of this paper is to present an automatic yarn hairiness parameterization method based on optical sensors. Hairiness measurements are performed using a coherent signal processing technique for higher resolution. Using this optical technique together with electronic instrumentation and custom developed software, it is possible to quantify all traditional hairiness parameters (i.e. hairiness (H), its coefficient of variation (CVH) and standard deviation (sH)) used in the textile industry, as well as determine several others, such as mean deviation coefficient (U), deviation rate (DR) and its integral (IDR).The overall goal of the current project is to develop an integrated automatic yarn system characterization: evenness analysis determination using capacitive sensors, hairiness analysis using coherent optics technique and finally, image processing for yarn production characteristics.

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This paper focuses on the determination of the statistical correlation between yarn diameter and yarn linear mass. The experimental methods employed are based on optical analysis and on image processing techniques applied to electron microscope images. Several different cotton yarns were examined over a wide range of yarn linear masses. The results indicate that diameters predicted by the relationship commonly quoted in the literature can be as much as 62% smaller than those experimentally observed.

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This paper presents a study to evaluate students' perception of the development and use of remote Control and Automation training kits developed and tested in two Portuguese universities. Three projects were implemented based on real-world environments. The students, supervised by teachers, designed and implemented the kits using the theoretical and practical knowledge taught in traditional classes. The end-user students tested the kits in the course curricular units, operating them either locally or remotely. Successful results were achieved not only in automation and control skills (hard skills) but also in the development of soft skills, leading to encouraging and rewarding goals, inspiring future decisions and promoting synergies in teamwork.