Interpretando ambientes sedimentarios: taller de sedimentología con arenas como actividad didáctica de Ciencias de la Tierra

El proceso de aprendizaje de las Ciencias de la Tierra, en particular en las disciplinas de la sedimentología y petrología sedimentaria, requiere de la realización de actividades prácticas, tanto en el campo como en el laboratorio. En este contexto examinar mediante lupa binocular distintos tipos de arena supone, además de un placer estético, un buen punto de partida para introducir al alumnado en la interpretación de ambientes sedimentarios. En este trabajo se propone un taller de iniciación a la reconstrucción de ambientes sedimentarios mediante el análisis de sedimentos detríticos (principalmente arenas). Se presenta una guía de procedimientos en laboratorio que incluye el análisis de los siguientes parámetros: tamaño, composición y forma de los granos, selección y color. Para vertebrar la propuesta didáctica se examinan ejemplos “tipo” de sedimentos detríticos representativos de ambientes de depósito tanto fluviales como marinos y de transición (playa), todos ellos incluidos en diferentes puntos de la geografía de la provincia de Alicante (España).

A system to communicate hidden information using color images

The objective of this paper is to present a system to communicate hidden information among different users by means of images. The tasks that the system is able to carry on can be divided in two different groups of utilities, implemented in java. The first group of utilities are related with the possibility to hide information in color images, using a steganographic function based on the least significant bit (LSB) methods. The second group of utilities allows us to communicate with other users with the aim to send or receive images, where some information have been previously embedded. Thus, this is the most significant characteristic of the implementation, we have built an environment where we join the email capabilities to send and receive text and images as attached files, with the main objective of hiding information.

Spectral BRDF-based determination of proper measurement geometries to characterize color shift of special effect coatings

A reduced set of measurement geometries allows the spectral reflectance of special effect coatings to be predicted for any other geometry. A physical model based on flake-related parameters has been used to determine nonredundant measurement geometries for the complete description of the spectral bidirectional reflectance distribution function (BRDF). The analysis of experimental spectral BRDF was carried out by means of principal component analysis. From this analysis, a set of nine measurement geometries was proposed to characterize special effect coatings. It was shown that, for two different special effect coatings, these geometries provide a good prediction of their complete color shift.

Measuring color differences in automotive samples with lightness flop: a test of the AUDI2000 color-difference formula

From a set of gonioapparent automotive samples from different manufacturers we selected 28 low-chroma color pairs with relatively small color differences predominantly in lightness. These color pairs were visually assessed with a gray scale at six different viewing angles by a panel of 10 observers. Using the Standardized Residual Sum of Squares (STRESS) index, the results of our visual experiment were tested against predictions made by 12 modern color-difference formulas. From a weighted STRESS index accounting for the uncertainty in visual assessments, the best prediction of our whole experiment was achieved using AUDI2000, CAM02-SCD, CAM02-UCS and OSA-GP-Euclidean color-difference formulas, which were no statistically significant different among them. A two-step optimization of the original AUDI2000 color-difference formula resulted in a modified AUDI2000 formula which performed both, significantly better than the original formula and below the experimental inter-observer variability. Nevertheless the proposal of a new revised AUDI2000 color-difference formula requires additional experimental data.