87,309 research outputs found
Aproveitamento da borra de açaí para produção de biscoitos.
No full textEste trabalho avaliou a farinha da borra de açaí na substituição parcial da farinha de trigo na formulação de biscoito
Prevention of UV Radiation Hazard
No full textThe aim of this paper is to present the main issues concerning the protection of outdoor workers from UV natural radiation, in order to prevent the UV adverse effects, and to discuss the current measurement tools available for workers, evidencing their deficits. A wearable smart sensor for monitoring the effective exposure of the individual worker is proposed as innovative solution
Finite-Field Consensus
No full textThis work studies consensus networks over finite fields, where agents process and communicate values from the set of integers f0; : : : ; p 1g, for some prime number p, and operations are performed modulo p. For consensus networks over finite fields we provide necessary and sufficient conditions on the network topology and weights to ensure convergence. For instance we show that, differently from the case of consensus networks over the field of real numbers, consensus networks over finite fields converge in finite time, and that properties of the agents interaction graph are not sufficient to ensure finitefield consensus. Finally, we discuss the application of finite-field consensus to distributed averaging in sensor network
Il campione e l’analisi dei dati
No full textNella prima parte vengono descritte la selezione e le caratteristiche del campione delle scuole AE: partendo dai criteri di ammissibilità, vengono illustrate le varie fasi che hanno guidato l’indagine
conoscitiva, dalla pura interrogazione del database, all’accertamento dei requisiti attraverso interviste telefoniche ai Dirigenti scolastici fino alla definizione del campione. L’analisi presentata in questo capitolo si basa su dati MIUR e INDIRE e descrive le caratteristiche del campione di scuole
considerato nell’indagine facendo, ove possibile, un confronto tra queste e la media a livello nazionale di scuole secondarie di secondo grado sulla base dei seguenti indicatori: la locazione geografica, la tipologia di Istituto, il tasso di abbandono degli studenti, il tasso di studenti disabili, di DSA e di stranieri, il tasso di studenti rimandati e ammessi nel biennio e nel triennio
Appendice B: Analisi per attendibilità e validità dei questionari
No full textSi illustrano le analisi statistiche per valutare attendibilità e validità dei questionar
Della Borra
No full textPer la prima volta questo vitigno è stato segnalato da Basso in Garfagnana (Basso, 1992) che lo ha introdotto nella collezione 'Vitiarium' dell'Agricola San Felice a Siena (Basso, 1993). Basso suggerisce che questo vitigno possa essere sinonimo del 'Montanino n. di cui al momento si sono perse le tracce.
Più recentemente il Della Borra è stato nuovamente censito in Garfagnana, genotipizzandolo e introducendolo in un apposito vigneto collezione in loco (D'Onofrio et al., 2015). Appare essere presente esclusivamente in Garfagnana, dove ha un distribuzione sporadica.
Non corrisponde a nessuno dei genotipi presenti nei vari database viticoli, e presenta delle relazioni di parentela di primo grado con 'Barbarossa toscana' ed 'Empano', entrambi vitigni diffusi in Toscana ma non esclusivi della Garfagnana, e il 'Rollo/Pagadebiti', vitigno individuato in Garfagnana ma diffuso anche in altre aree italiane (D'Onofrio et al., 2005). L’uva e’ dolce, di sapore neutro gradevole. Matura entro la fine di settembre
Effective models and predictability of chaotic multiscale systems via machine learning
No full textUnderstanding and modeling the dynamics of multiscale systems is a problem of considerable interest both for theory and applications. For unavoidable practical reasons, in multiscale systems, there is the need to eliminate from the description the fast and small-scale degrees of freedom and thus build effective models for only the slow and large-scale degrees of freedom. When there is a wide scale separation between the degrees of freedom, asymptotic techniques, such as the adiabatic approximation, can be used for devising such effective models, while away from this limit there exist no systematic techniques. Here, we scrutinize the use of machine learning, based on reservoir computing, to build data-driven effective models of multiscale chaotic systems. We show that, for a wide scale separation, machine learning generates effective models akin to those obtained using multiscale asymptotic techniques and, remarkably, remains effective in predictability also when the scale separation is reduced. We also show that predictability can be improved by hybridizing the reservoir with an imperfect model
Optimal collision avoidance in swarms of active Brownian particles
No full textThe effectiveness of collective navigation of biological or artificial agents requires to accommodate for contrasting requirements, such as staying in a group while avoiding close encounters and at the same time limiting the energy expenditure for maneuvering. Here, we address this problem by considering a system of active Brownian particles in a finite two-dimensional domain and ask what is the control that realizes the optimal tradeoff between collision avoidance and control expenditure. We couch this problem in the language of optimal stochastic control theory and by means of a mean-field game approach we derive an analytic mean-field solution, characterized by a second-order phase transition in the alignment order parameter. We find that a mean-field version of a classical model for collective motion based on alignment interactions (Vicsek model) performs remarkably close to the optimal control. Our results substantiate the view that observed group behaviors may be explained as the result of optimizing multiple objectives and offer a theoretical ground for biomimetic algorithms used for artificial agents
Valoración energética de la borra de café
No full textEl propósito general de este trabajo es la determinación del potencial energético de la borra de café, esto se hizo como requisito para la obtención del título de Ingeniero Mecánico, fue desarrollado por la estudiante Nicole Michelle Villanueva Cáceres adscrita a la Universidad de Ibagué, el tutor de la investigación fue MSc. Héctor Mauricio Hernández Sarabia, Ingeniero Químico por profesión y docente asociado al programa de Ingeniería Mecánica.
Este documento contiene los datos de la investigación y análisis realizados con el fin de caracterizar la borra de café. Los resultados del estudio abarcan desde una recopilación bibliográfica, la determinación de composición proximal y elemental, la selección del proceso termoquímico a utilizar y el análisis de los gases de combustión determinando la temperatura adiabática de llama, además de la evaluación del costo beneficio para la implementación del proyecto.
Los resultados obtenidos indican que el proyecto es viable para implementar siendo necesaria una inversión inicial de 130.000.000 COP, with a rate of return higher than 100%, considerably high profits and a return-on-investment period of approximately 8 months; the use of this biomass as a fuel offers good environmental and economic benefits within the framework of Law 1715 of 2014.PregradoIngeniero MecánicoResumen.....IX
Abstract.....X
Lista de figuras.....XIII
Lista de tablas.....XIV
Lista de símbolos y abreviaturas.....XV
Introducción.....1
Objetivos.....3
Justificación.....4
Capítulo 1: Marco teórico.....5
Fase industrial del café.....5
Descripción de la borra.....10
Producción de borra.....11
Caracterización de la borra.....14
1.4.1 Composición química.....14
1.4.2 De acuerdo con la variedad del café.....16
¿Qué se está haciendo con la borra actualmente?.....17
Aprovechamiento energético de la borra de café.....18
Análisis de combustión.....19
Beneficios de la transformación energética del residuo.....21
Capítulo 2: Materiales, métodos y selección del proceso termoquímico.....22
Selección del proceso.....22
Materiales y métodos.....25
2.1.1 Tratamiento a la borra de café realizado en la planta Nestlé.....25
2.1.2 Análisis proximal para la borra de café realizado en la Universidad de Ibagué.....26
Capítulo 3: Análisis y discusión de resultados.....30
Análisis proximal de la borra de café.....30
Análisis elemental de la borra de café.....31
Análisis elemental de la borra de café en base seca y libre de cenizas.....32
Determinación de la fórmula química del combustible y temperatura adiabática de llama.....33
Capítulo 4: Análisis de costos .....36
Análisis costo – beneficio de la combustión directa de biomasa.....36
Ley 1715 de 2014.....37
Conclusiones y recomendaciones.....43 Conclusiones.....43
Recomendaciones.....44
Referencias bibliográficas.....4
Estimation of the sound field at arbitrary positions in distributed microphone networks based on distributed ray space transform
No full textIn this paper we propose a parametric sound field reconstruction approach. In particular, the technique is based on the estimation of three parameters for each acoustic source (source position, radiation pattern and source signal) given the signals acquired by few arbitrarily placed microphone arrays. This allows us to synthesize the signal of a virtual microphone placed in any point of the acoustic scene
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