Aplicación de nuevas técnicas docentes en la asignatura Sistemas Cliente/Servidor

En este trabajo mostramos nuestras experiencias en la aplicación de metodologías de aprendizaje cooperativo y basado en proyectos en la asignatura Sistemas Cliente/Servidor en los cursos académicos 2008/2009 y 2009/2010.SUMMARY: In this work we present our teaching experience in the aplication of cooperative and project-based learning methodologies within the subject Client/Server Systems in the academic years 2008/2009 and 2009/2010.Peer Reviewe

On the influence of spatial information for hyper-spectral satellite imaging characterization

Land-use classification for hyper-spectral satellite images requires a previous step of pixel characterization. In the easiest case, each pixel is characterized by its spectral curve. The improvementof the spectral and spatial resolution in hyper-spectral sensors has led to very large data sets. Some researches have focused on better classifiers that can handle big amounts of data. Others have faced the problem of band selection to reduce the dimensionality of the feature space. However, thanks to the improvement in the spatial resolution of the sensors, spatial information may also provide new featuresfor hyper-spectral satellite data. Here, an study on the influence of spectral-spatial features combined with an unsupervised band selection method is presented. The results show that it is possible to reduce very significantly the number of spectral bands required while having an adequate description of the spectral-spatial characteristics of the image for pixel classification tasksThis work has been partly supported by grant FPI PREDOC/2007/20 from Fundació Caixa Castelló-Bancaixa and projects CSD2007-00018 (Consolider Ingenio 2010) and AYA2008-05965-C04-04 from the Spanish Ministry of Science and Innovatio

Aplicación de nuevas técnicas docentes en la asignatura Sistemas Cliente/Servidor

En este trabajo mostramos nuestras experiencias en la aplicación de metodologías de aprendizaje cooperativo y basado en proyectos en la asignatura Sistemas Cliente/Servidor en los cursos académicos 2008/2009 y 2009/2010

On the early detection of threats in the real world based on open-source information on the internet

Many threats in the real world can be related to activities of persons on the internet. Internet surveillance aims to detect threats in an early stage and to assist in finding suspects based on information from the web. However, the amount of data on the internet rapidly increases and it is time consuming to monitor many open sources. In this paper, we present a method to find abnormal behavior on the internet and give an early warning for threats. The system was tested on Twitter data. The results show that it can successfully analyze the content of messages and recognize abnormal changes in sentiment and threatening content

Image processing in aerial surveillance and reconnaissance: From pixels to understanding

Surveillance and reconnaissance tasks are currently often performed using an airborne platform such as a UAV. The airborne platform can carry different sensors. EO/IR cameras can be used to view a certain area from above. To support the task from the sensor analyst, different image processing techniques can be applied on the data, both in real-time or for forensic applications. These algorithms aim at improving the data acquired to be able to detect objects or events and make an interpretation of those detections. There is a wide range of techniques that tackle these challenges and we group them in classes according to the goal they pursue (image enhancement, modeling the world object information, situation assessment). An overview of these different techniques and different concepts of operations for these techniques are presented in this paper. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

Scale Analysis of Several Filter Banks for Color Texture Classification

We present a study of the contribution of the different scales used by several feature extraction methods based on filter banks for color texture classification. Filter banks used for textural characterization purposes are usually designed using different scales and orientations in order to cover all the frequential domain. In this paper, two feature extraction methods are taken into account: Gabor filters over complex planes and color opponent features. Both techniques consider simultaneously the spatial and inter-channel interactions in order to improve the characterization based on individual channel analysis. The experimental results obtained show that Gabor filters over complex planes provide similar results to the ones obtained using color opponent features but using a reduced number of features. On the other hand, the scale analysis shows that some scales could be ignored in the feature extraction process without distorting the characterization obtained