HMDB: A Large Video Database for Human Motion Recognition

With nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted to the collection and annotation of large scalable static image datasets containing thousands of image categories, human action datasets lag far behind. Current action recognition databases contain on the order of ten different action categories collected under fairly controlled conditions. State-of-the-art performance on these datasets is now near ceiling and thus there is a need for the design and creation of new benchmarks. To address this issue we collected the largest action video database to-date with 51 action categories, which in total contain around 7,000 manually annotated clips extracted from a variety of sources ranging from digitized movies to YouTube. We use this database to evaluate the performance of two representative computer vision systems for action recognition and explore the robustness of these methods under various conditions such as camera motion, viewpoint, video quality and occlusion.United States. Defense Advanced Research Projects Agency. Information Processing Techniques OfficeUnited States. Defense Advanced Research Projects Agency. System Science Division. Defense Sciences OfficeNational Science Foundation (U.S.) (NSF-0640097)National Science Foundation (U.S.) (NSF-0827427)United States. Air Force Office of Scientific Research (FA8650-05- C-7262)Adobe SystemsKing Abdullah University of Science and TechnologyNEC ElectronicsSony CorporationEugene McDermott FoundationBrown University. Center for Computing and VisualizationRobert J. and Nancy D. Carney Fund for Scientific InnovationUnited States. Defense Advanced Research Projects Agency (DARPA-BAA-09-31)United States. Office of Naval Research (ONR-BAA-11-001)Ministry of Science, Research and the Arts of Baden Württemberg, German

Modelo de simulación de la operación de un embalse en avenida y su integración al sistema FEWS

En este trabajo se presentan dos modelos de gestión de embalses en avenidas, el primero, basado en reglas de operación de los órganos de desagüe definidas por el usuario y, el segundo, correspondiente al método de gestión programada de embalses de Girón. Se incluye además un módulo que integra ambos métodos al sistema hidrometeorológico de alerta temprana FEWS

A New Tool for Assessing Environmental Impacts of Altering Short-Term Flow and Water Level Regimes

The computational tool InSTHAn (indicators of short-term hydrological alteration) was developed to summarize data on subdaily stream flows or water levels into manageable, comprehensive and ecologically meaningful metrics, and to qualify and quantify their deviation from unaltered states. The pronunciation of the acronym refers to the recording interval of input data (i.e., instant). We compared InSTHAn with the tool COSH-Tool in a characterization of the subdaily flow variability of the Colorado River downstream from the Glen Canyon dam, and in an evaluation of the effects of the dam on this variability. Both tools captured the hydropeaking caused by a dam operation, but only InSTHAn quantified the alteration of key flow attributes, highlighting significant increases in the range of within-day flow variations and in their rates of change. This information is vital to evaluate the potential ecological consequences of the hydrological alteration, and whether they may be irreversible, making InSTHAn a key tool for river flow management

Metodología de evaluación de las reglas de operación de embalses en avenidas

El avance de la presión antrópica sobre las márgenes de los cauces, y la creciente dificultad técnica, política y social para ejecutar nuevos proyectos de grandes presas, promueve la necesidad de utilizar más eficientemente los sistemas de control de avenidas existentes. En el presente trabajo se presenta una metodología de análisis para evaluar y comparar las estrategias de gestión de embalses, considerando su operación individual, a fin de establecer la más adecuada. En particular se comparan dos modos de gestión ante situación de avenidas: el Método de Evaluación Volumétrica (MEV) desarrollado por Girón (1988), de amplia difusión en España, y un modelo de optimización de la gestión mediante Programación Lineal Entera Mixta (PLEM). Para ello se ha implementado un entorno de cálculo con estructura modular. El primer módulo permite generar un conjunto representativo de hidrogramas de entrada a los embalses mediante simulación de Monte Carlo. Luego, dos módulos que funcionan en paralelo simulan la gestión del embalse según las dos estrategias mencionadas (MEV y PLEM). Finalmente, se evalúa el comportamiento de ambas estrategias ante el conjunto de solicitaciones hidrológicas generado. Se propone el empleo del Índice de Riesgo Global (I1), que pondera el resultado de la estrategia de gestión frente a un conjunto de hidrogramas de solicitación. Dicho indicador tiene en cuenta el daño esperado debido a los caudales máximos vertidos y el riesgo para la presa debido a los niveles máximos alcanzados en el embalse. Para ello se analiza la función de distribución de probabilidad de las dos variables (máximo caudal vertido y máximo nivel alcanzado) para la población de hidrogramas analizada. El modelo PLEM se calibra empleando el índice I1. Este mismo índice es utilizado para comparar ambas estrategias, entendiendo como la más adecuada aquella que tenga asociado el menor I1. Este sistema de análisis se aplicó a tres embalses de la cuenca del río Segura, con diferentes características en lo referente al tipo y capacidad de aliviadero, volumen de embalse y de resguardo. En los tres casos se han obtenido mejores resultados con el modelo PLEM que con el modelo MEV, tanto en lo concerniente a caudales máximos vertidos como a los niveles máximos alcanzados, para todo el rango de avenidas analizado. Sin embargo, la diferencia entre ambas estrategias no es muy significativa y el MEV presenta características que lo hacen más adecuado para su empleo en tiempo rea

Level densities and thermodynamical properties of Pt and Au isotopes

The nuclear level densities of $^{194-196}$Pt and $^{197,198}$Au below the neutron separation energy have been measured using transfer and scattering reactions. All the level density distributions follow the constant-temperature description. Each group of isotopes is characterized by the same temperature above the energy threshold corresponding to the breaking of the first Cooper pair. A constant entropy excess $\Delta S=1.9$ and $1.1$ $k_B$ is observed in $^{195}$Pt and $^{198}$Au with respect to $^{196}$Pt and $^{197}$Au, respectively, giving information on the available single-particle level space for the last unpaired valence neutron. The breaking of nucleon Cooper pairs is revealed by sequential peaks in the microcanonical caloric curve

Risk-based methodology for parameter calibration of a reservoir flood control model

Flash floods are of major relevance in natural disaster management in the Mediterranean region. In many cases, the damaging effects of flash floods can be mitigated by adequate management of flood control reservoirs. This requires the development of suitable models for optimal operation of reservoirs. A probabilistic methodology for calibrating the parameters of a reservoir flood control model (RFCM) that takes into account the stochastic variability of flood events is presented. This study addresses the crucial problem of operating reservoirs during flood events, considering downstream river damages and dam failure risk as conflicting operation criteria. These two criteria are aggregated into a single objective of total expected damages from both the maximum released flows and stored volumes (overall risk index). For each selected parameter set the RFCM is run under a wide range of hydrologic loads (determined through Monte Carlo simulation). The optimal parameter set is obtained through the overall risk index (balanced solution) and then compared with other solutions of the Pareto front. The proposed methodology is implemented at three different reservoirs in the southeast of Spain. The results obtained show that the balanced solution offers a good compromise between the two main objectives of reservoir flood control managemen