Proyecto de camino forestal del monte Lasieso. Biescas (Huesca)

Bl camino forestal al que se refiere el r>r·esJnte proyecto tiene por objeto facilitar la saca de la madera del monte denominado Selva de Tasieso, propiedad del Ayuntamiento de Biescas, provincia de Huesca.

Proyecto de ordenacion del monte "Obaga de San Andres" de Villa y Valle de Castelbo (Lerida)

El monte en cuestion denominado "Obaga de San Andres y Reguerals", objeto de este proyecto de ordenacion, esta situado en la provincia de Lerida, partido judicial de Seo de Urgel y termino municipal de Valle de Castelbo, no habuendo indicios que pueda variar esta posicion administrativa.

Preparacion mas conveniente del terreno cuando abunda el monte bajo o matorral en las repoblaciones artificiales de P. Pinaster, o P. Carrasco y P. Pinea en la provincia de Badajoz

Encargado el alumno que suscribe, por la Direccion General del Patrimonio Forestal del Estado y la Escuela Especial de Ingenieros de Montes, de realizar un trabajo forestal sobre el tema: PREPARACION MAS CONVENIENTE DEL TERRENO CUANDO EL MONTE BAJO O MATORRAL EN LAS REPOBLACIONES ARTIFICIALES DE P. PINASTER, O P. CARRASCO Y P. PINEA EN LA PROVINCIA DE BADAJOZ. Se ha personado en la provincia a que se refiere dicho estudio y después de las visitas necesarias a terrenos objeto del tema, asi como la toma de datos precisos al desarrollo del mismo, ha procedido a la redaccion del presente estudio, que tiene el honor de someter al examen de los organismos antes mencionados, por si merece su aprobacion.

Feasibility assessment of the interactive use of a Monte Carlo algorithm in treatment planning for intraoperative electron radiation therapy

This work analysed the feasibility of using a fast, customized Monte Carlo (MC) method to perform accurate computation of dose distributions during pre- and intraplanning of intraoperative electron radiation therapy (IOERT) procedures. The MC method that was implemented, which has been integrated into a specific innovative simulation and planning tool, is able to simulate the fate of thousands of particles per second, and it was the aim of this work to determine the level of interactivity that could be achieved. The planning workflow enabled calibration of the imaging and treatment equipment, as well as manipulation of the surgical frame and insertion of the protection shields around the organs at risk and other beam modifiers. In this way, the multidisciplinary team involved in IOERT has all the tools necessary to perform complex MC dosage simulations adapted to their equipment in an efficient and transparent way. To assess the accuracy and reliability of this MC technique, dose distributions for a monoenergetic source were compared with those obtained using a general-purpose software package used widely in medical physics applications. Once accuracy of the underlying simulator was confirmed, a clinical accelerator was modelled and experimental measurements in water were conducted. A comparison was made with the output from the simulator to identify the conditions under which accurate dose estimations could be obtained in less than 3 min, which is the threshold imposed to allow for interactive use of the tool in treatment planning. Finally, a clinically relevant scenario, namely early-stage breast cancer treatment, was simulated with pre- and intraoperative volumes to verify that it was feasible to use the MC tool intraoperatively and to adjust dose delivery based on the simulation output, without compromising accuracy. The workflow provided a satisfactory model of the treatment head and the imaging system, enabling proper configuration of the treatment planning system and providing good accuracy in the dosage simulation.

Hybrid Monte Carlo dose algorithm for low energy X-rays intraoperative radiation therapy

Low energy X-rays Intra-Operative Radiation Therapy (XIORT) treatment delivered during surgery (ex: INTRABEAM, Carl Zeiss, and Axxent, Xoft) can benefit from accurate and fast dose prediction in a patient 3D volume.

Efficient Monte Carlo methods for multi-dimensional learning with classifier chains

Multi-dimensional classification (MDC) is the supervised learning problem where an instance is associated with multiple classes, rather than with a single class, as in traditional classification problems. Since these classes are often strongly correlated, modeling the dependencies between them allows MDC methods to improve their performance – at the expense of an increased computational cost. In this paper we focus on the classifier chains (CC) approach for modeling dependencies, one of the most popular and highest-performing methods for multi-label classification (MLC), a particular case of MDC which involves only binary classes (i.e., labels). The original CC algorithm makes a greedy approximation, and is fast but tends to propagate errors along the chain. Here we present novel Monte Carlo schemes, both for finding a good chain sequence and performing efficient inference. Our algorithms remain tractable for high-dimensional data sets and obtain the best predictive performance across several real data sets.

Student academic performance stochastic simulator based on the Monte Carlo method

In this paper, a computer-based tool is developed to analyze student performance along a given curriculum. The proposed software makes use of historical data to compute passing/failing probabilities and simulates future student academic performance based on stochastic programming methods (MonteCarlo) according to the specific university regulations. This allows to compute the academic performance rates for the specific subjects of the curriculum for each semester, as well as the overall rates (the set of subjects in the semester), which are the efficiency rate and the success rate. Additionally, we compute the rates for the Bachelors degree, which are the graduation rate measured as the percentage of students who finish as scheduled or taking an extra year and the efficiency rate (measured as the percentage of credits of the curriculum with respect to the credits really taken). In Spain, these metrics have been defined by the National Quality Evaluation and Accreditation Agency (ANECA). Moreover, the sensitivity of the performance metrics to some of the parameters of the simulator is analyzed using statistical tools (Design of Experiments). The simulator has been adapted to the curriculum characteristics of the Bachelor in Engineering Technologies at the Technical University of Madrid(UPM).

Proyecto de ordenacion del monte Hayedo de las Tozas en el termino municipal de Montenegro de Cameros (Soria)

El monte que nos ocupa esta situdo en la provincia de Soria y termino municipal de Montenegro de Cameros.

Monte Carlo limit cycle characterization

The fixed point implementation of IIR digital filters usually leads to the appearance of zero-input limit cycles, which degrade the performance of the system. In this paper, we develop an efficient Monte Carlo algorithm to detect and characterize limit cycles in fixed-point IIR digital filters. The proposed approach considers filters formulated in the state space and is valid for any fixed point representation and quantization function. Numerical simulations on several high-order filters, where an exhaustive search is unfeasible, show the effectiveness of the proposed approach.

Vista de Porta Coeli tomada del interior del Monte [Material gráfico] =Vue de Porta Coeli prise de l'interieur du bois = View of Porta Coeli taken from the interior of the wood

Resumen: Descripción: vista de Portaceli desde el monte muy frondoso. La Cartuja se deduce en segundo término

Proyecto de ordenación del monte Cabezas de Hierro, Madrid

El monte objeto del presente proyecto se encuentra situado en la provincia de Madrid, Partido Judicial de Torrelaguna y Término Municipal de Rascafría.

Primera parte de Diana enamorada [Texto impreso] : cinco libros que prosiguen, los siete de la Diana de Iorge Monte Mayor

Port. con esc. tip

Palacio y jardines de Boadilla del Monte, Madrid

Palacio y jardines de Boadilla del Monte, Madrid

Mejora de las condiciones de vida en el Batey Altagracia (Municipio de Sabana Grande de Boya, Monte Plata, República Dominicana.)

El territorio de la República Dominicana comprende la parte oriental (74%) de la isla La Española o de Santo Domingo, situada en el Mar Caribe. Esta zona, debido a que tiene un clima más suave, se ha visto afectada desde hace muchos años por oleadas de inmigración procedente de Haiti. Los trabajadores solían desempeñar trabajos de campo, asentándose en pequeños poblados aislados de las grandes ciudades. Debido a su lejanía, y a su condición Haitiana, estos poblados o Bateys han venido sufriendo carencias en materia de habitabilidad básica. Con este proyecto se busca mejorar su calidad de vida, ayudando a disminuir las enfermedades que producen los sistemas de saneamiento deficientes.