Unsupervised grouping of industrial textile dyes using K-means algorithm and optical fibre spectroscopy

A method for the unsupervised clustering of optically thick textile dyes based on their spectral properties is demonstrated in this paper. The system utilizes optical fibre sensor techniques in the Ultraviolet-Visible-Near Infrared (UV-Vis-NIR) to evaluate the absorption spectrum and thus the colour of textile dyes. A multivariate method is first applied to calculate the optimum dilution factor needed to reduce the high absorbance of the dye samples. Then, the grouping algorithm used combines Principal Component Analysis (PCA), for data compression, and K-means for unsupervised clustering of the different dyes. The feasibility of the proposed method for textile applications is also discussed in the paper

Optical fibre spectroscopy sensor for the quantitative determination of industrial textile dyes

In this paper, an extrinsic optical fibre sensor (OFS) for the quantitative determination of dyes used in the textile industry is presented. The system proposed is based on absorption spectroscopy and multivariate calibration methods to infer the concentration of different textile dyes. The performance of the sensor has been successfully assessed using calibrated dyes, with a very good correlation between the multivariate calibration models and the predicted values. The sensor system here demonstrated could be used to predict the colour of dye mixtures during the dyebath and, therefore, reduce the manufacturing costs

Estimation of surgeons' ergonomic dynamics with a structured light system during endoscopic surgery

Background: The purpose of this study was to use motion capture to collect body posture information during simulated endoscopic sinus surgery interventions performed by both specialists and residents in standing and sitting positions and to analyze that information with the validated Rapid Upper Limb Assessment (RULA) tool, which allows calculation of a risk index of musculoskeletal overload. Methods: Bilateral endoscopic sinus surgery was performed in 5 cadaver heads by 2 residents, and 4 practicing rhinologists. Musculoskeletal symptoms were evaluated before and after the dissection. Full?body postural data were collected with the help of Kinect and a .NET WPF (Windows Presentation Foundation) software application to record images of the surgical procedures, and then analyzed with the RULA tool to calculate a risk score indicative of the exposure of the individual surgeon to ergonomic risk factors associated with upper extremity musculoskeletal disorders. Results: All subjects reported physical discomfort after nasal endoscopic procedures. An overall similar RULA score was obtained by the residents and the practicing rhinologists. The RULA score was slightly lower for the sitting position than for the standing position, mostly due to a lower score in group B (neck, trunk, and leg); however, the RULA score for group A (arm and wrist analysis) was higher, denoting a higher risk for the upper back and arms. Conclusion: Significant musculoskeletal symptoms were reported after an endoscopic operation by both the resident and the practicing otolaryngologists. All surgeons obtained a high RULA score, meaning that urgent changes are required in the task.This project has been developed thanks to the Innovation Support Program "InnVal" of the Marques de Valdecilla Research Institute (IDIVAL

Dispositivo para la calibración espectral y espacial de espectrómetros de imagen

Dispositivo para la calibración espectral y espacial de espectrómetros de imagen. Incorpora un cabezal con una pluralidad de fuentes de luz y una unidad de procesado y control con capacidad, por un lado, de controlar a voluntad el encendido de las fuentes de luz del cabezal, y por el otro, de capturar y procesar la imagen captada por el espectrómetro que se desea calibrar. La unidad de procesado y control comprende unos procedimientos que, en conjunto, facilitan al usuario la calibración del instrumento, además de determinar de forma automática la relación entre las coordenadas de cada píxel de la imagen y su longitud de onda y posición espacial asociadas. La aplicación fundamental de la invención se centra en la instalación y calibración de espectrómetros de imagen.Solicitud: 200601686 (22.06.2006)Nº Pub. de Solicitud: ES2316243A1 (01.04.2009)Nº de Patente: ES2316243B2 (07.10.2009