A ground system for early forest fire detection based on infrared signal processing

This article presents a ground remote automatic system for forest surveillance based on infrared signal processing applied to early fire detection. Advanced techniques, which are based on infrared signal processing, are used in order to process the captured images. With the aim of determining the presence or absence of fire, the system performs the fusion of different detectors that exploit different expected characteristics of a real fire, such as persistence and increase. Theoretical simulations and practical results are presented to corroborate the control of the probability of false alarm. Results in a real environment are also presented to authenticate the accuracy of the operation of the proposed system. In particular, some experiments have been done to evaluate the delay of the system (tens of seconds on average) in detecting a controlled ground fire in a range of 1-10 km. Moreover, temporary evolution of false alarms and true detections are presented to evaluate the long-term performance of the system in a real environment. We have reached a detection probability of 100% at a false alarm rate of around 1 x 10(-9).This work has been supported by Generalitat Valenciana, under grant GVEMP06/001, and by MEC under the FPU programme.Bosch Roig, I.; Gómez, S.; Vergara Domínguez, L. (2011). A ground system for early forest fire detection based on infrared signal processing. International Journal of Remote Sensing. 32(17):4857-4870. https://doi.org/10.1080/01431161.2010.490245S485748703217Arrue, B. C., Ollero, A., & Matinez de Dios, J. R. (2000). An intelligent system for false alarm reduction in infrared forest-fire detection. IEEE Intelligent Systems, 15(3), 64-73. doi:10.1109/5254.846287Bernabeu, P., Vergara, L., Bosh, I., & Igual, J. (2004). A prediction/detection scheme for automatic forest fire surveillance. Digital Signal Processing, 14(5), 481-507. doi:10.1016/j.dsp.2004.06.003Briz, S. (2003). Reduction of false alarm rate in automatic forest fire infrared surveillance systems. Remote Sensing of Environment, 86(1), 19-29. doi:10.1016/s0034-4257(03)00064-6Pastor, E. (2003). Mathematical models and calculation systems for the study of wildland fire behaviour. Progress in Energy and Combustion Science, 29(2), 139-153. doi:10.1016/s0360-1285(03)00017-0Vergara, L., & Bernabeu, P. (2000). Automatic signal detection applied to fire control by infrared digital signal processing. Signal Processing, 80(4), 659-669. doi:10.1016/s0165-1684(99)00159-0Vergara, L., & Bernabeu, P. (2001). Simple approach to nonlinear prediction. Electronics Letters, 37(14), 926. doi:10.1049/el:20010616Vicente, J., & Guillemant, P. (2002). An image processing technique for automatically detecting forest fire. International Journal of Thermal Sciences, 41(12), 1113-1120. doi:10.1016/s1290-0729(02)01397-

Anomaly and Condensate in the Light-Cone Schwinger Model

The axial anomaly and fermion condensate in the light cone Schwinger model are studied following path integral methods. This formalism allows for a simple and direct calculation for these and other vacuum dependent phenomena.Comment: 10pp, Revte

Modificaciones de la amplitud articular de tobillo durante la marcha en niños afectos de PCI y pie equino tratados con TBA

El objetivo de este estudio fue comprobar el efecto de la TBA (BOTOXâ) en la amplitud articular del tobillo durante la marcha en pacientes afectos de PCI. La muestra estuvo formada por 9 niños con una media de 6 años de edad distribuyéndose en 4 grupos de estudio: control, hemipléjico, dipléjico I y dipléjico II. Las variables cuantificadas fueron la máxima flexión dorsal y plantar realizadas durante la marcha (calzados y descalzos) así como los porcentajes del CM en el que se alcanzaron estos máximos. La técnica instrumental utilizada fue un sistema de fotogrametría vídeo 3D con el software Kinescan-IBV. Interrelacionando las cuatro variables sometidas a estudio, los resultados obtenidos demostraron que cada grupo evolucionó de forma distinta. Mientras que el grupo hemipléjico alcanzó los mejores resultados entre los 3 meses y 5 meses dependiendo de la condición, el grupo dipléjico I lo consiguió a los 5 meses y 3 semanas el dipléjico II a los 9 meses y 3 semanas. La TBA permitió una mayor movilidad en la articulación del tobillo, sin embargo para que también mejorara la marcha fue necesario que transcurriera un cierto tiempo para reeducarla, necesitando un incremento de este periodo y del número de dosis de TBA cuanto mayor es la alteración de la marcha.Peer Reviewe

Feature selection for chemical sensor arrays using mutual information

We address the problem of feature selection for classifying a diverse set of chemicals using an array of metal oxide sensors. Our aim is to evaluate a filter approach to feature selection with reference to previous work, which used a wrapper approach on the same data set, and established best features and upper bounds on classification performance. We selected feature sets that exhibit the maximal mutual information with the identity of the chemicals. The selected features closely match those found to perform well in the previous study using a wrapper approach to conduct an exhaustive search of all permitted feature combinations. By comparing the classification performance of support vector machines (using features selected by mutual information) with the performance observed in the previous study, we found that while our approach does not always give the maximum possible classification performance, it always selects features that achieve classification performance approaching the optimum obtained by exhaustive search. We performed further classification using the selected feature set with some common classifiers and found that, for the selected features, Bayesian Networks gave the best performance. Finally, we compared the observed classification performances with the performance of classifiers using randomly selected features. We found that the selected features consistently outperformed randomly selected features for all tested classifiers. The mutual information filter approach is therefore a computationally efficient method for selecting near optimal features for chemical sensor arrays

Expresión de ICAM-1 en el Endotelio de Arterias Humanas Mediante Inmunohistoquímica

Moore-Carrasco, R (reprint author), Univ Talca, Fac Ciencias Salud, Dept Bioquim Clin & Inmunohematol, Programa Invest Factores Riesgo Enfermedades Card, POB 747, Talca, Chile.Cardiovascular diseases (CVD) are the leading cause of death in the world. Among them the ischemic type are of great importance. where the development of atherosclerotic plaques is the central pathophysiological process. The study of atherosclerosis is critical to understand how this disease process begins and factors influencing its development. Various laboratory methods, including immunohistochemistry, allow the recognition of cells and molecules involved in the atheromatous process that are interacting according to the progression of the lesion. A marker of endothelial dysfunction is the increased expression of intercellular adhesion molecule ICAM-1. In this paper, an immunohistochemistry method was standardized for the adhesion molecule ICAM-1, and its expression was studied in healthy human arteries with atheromatous plaque. In samples of human arteries with atherosclerotic disease, the expression of ICAM-1 was observed lobe increased, but was hardly recognizable. This mainly because the tissue used as a control for standardization was a tonsil with an inflammatory process and hyperplasia, which significantly increases the expression of ICAM-1. The implementation of the immunohistochemistry method for ICAM-1 in human arteries will reveal endothelial dysfunction states that will enable a future design and implementation of methods of diagnosis in atherosclerotic processes in the early stages

Las moléculas de adhesión y la respuesta inmune

Adhesion molecules (AM) are involved in antigenic recognition and cell migration. These molecules determine the contact among several groups of cells and the relationship between some cells and the extracellular matrix. In addition, they act as direct activation signals upon various immunocompetent cells. According to their structure and functional characteristics they have been grouped in: lnmunoglobulin superfamily, integrins (very late antigens, leukointegrins and cytoadhesins) and selectins (E-selectins, P-selectins y L-selectins). Their mechanisms of action have Seen largel y studied in regard to the leukocyte migration process, which include: selectin-mediated margination; endothelial adhesion and chemotaxis involving integrins and in a less extent by the immunoglobulins superfamily members. The possibility exists that manipulation of important steps of these processes could be used in the future as therapeutic tools and basic research.Las moléculas de adhesión (MA) participan en el reconocimiento antigénico y en la migración celular. Determinan el contacto entre varios grupos celulares y la relación entre algunas células y la matriz extracelular, actuando además como señales que contribuyen directamente a la activación celular. Con base en su estructura y características funcionales se pueden agrupar como: superfamilia de las inmunoglobulinas, las integrinas (que a su vez se subdividen en tres grupos: antígenos muy tardíos, integrinas leucocitarias y citoadhesinas) y las selectinas (E-selectinas, P-selectinas y L-selectinas). Su mecanismo de acción se ha estudiado en detalle en los procesos de migración leucocitaria que comprende: marginación por medio de selectinas, adhesión al endotelio y quimiotaxis a través de integrinas y, en menor grado, por miembros de la superfamilia de la inmunoglobulinas. La manipulación de los procesos en los cuales intervienen estas moléculas, permitiría que en un futuro sean utilizados como terapia antiinflamatoria en medicina y biologí

Magnetoelastic Coupling Through The Antiferromagnet-To-Ferromagnet Transition Of Quasi-Two-Dimensional [Cu(Hf2)(Pyz)(2)]Bf4 Using Infrared Spectroscopy

We investigated magnetoelastic coupling through the field-driven transition to the fully polarized magnetic state in quasi-two-dimensional [Cu(HF2)(pyz)(2)]BF4 by magnetoinfrared spectroscopy. This transition modifies out-of-plane ring distortion and bending vibrational modes of the pyrazine ligand. The extent of these distortions increases with the field, systematically tracking the low-temperature magnetization. These distortions weaken the antiferromagnetic spin exchange, a finding that provides important insight into magnetic transitions in other copper halides