A tool for better management of water quality during periods of algal blooms: the case of the River Oise

Like other rivers in the Paris area, the Oise is subject to important seasonal algal blooms. This eutrophication generates notable problems for the production of drinking-water from a treatment plant on the river at Méry. A mathematical model has been developed to simulate variation in water quality in a pre-treatment storage basin, and another model is currently being adapted to model the River Oise. Integration of the two models should provide a comprehensive tool for predicting variations of phytoplankton and water-quality parameters associated with algal blooms. This will be a decision-aid for optimizing control of the treatment process for providing potable water.

BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data

A new supervised burned area mapping software named BAMS (Burned Area Mapping Software) is presented in this paper. The tool was built from standard ArcGIS (TM) libraries. It computes several of the spectral indexes most commonly used in burned area detection and implements a two-phase supervised strategy to map areas burned between two Landsat multitemporal images. The only input required from the user is the visual delimitation of a few burned areas, from which burned perimeters are extracted. After the discrimination of burned patches, the user can visually assess the results, and iteratively select additional sampling burned areas to improve the extent of the burned patches. The final result of the BAMS program is a polygon vector layer containing three categories: (a) burned perimeters, (b) unburned areas, and (c) non-observed areas. The latter refer to clouds or sensor observation errors. Outputs of the BAMS code meet the requirements of file formats and structure of standard validation protocols. This paper presents the tool's structure and technical basis. The program has been tested in six areas located in the United States, for various ecosystems and land covers, and then compared against the National Monitoring Trends in Burn Severity (MTBS) Burned Area Boundaries Dataset.

Feature Selection for Speech Emotion Recognition in Spanish and Basque: On the Use of Machine Learning to Improve Human-Computer Interaction

Study of emotions in human-computer interaction is a growing research area. This paper shows an attempt to select the most significant features for emotion recognition in spoken Basque and Spanish Languages using different methods for feature selection. RekEmozio database was used as the experimental data set. Several Machine Learning paradigms were used for the emotion classification task. Experiments were executed in three phases, using different sets of features as classification variables in each phase. Moreover, feature subset selection was applied at each phase in order to seek for the most relevant feature subset. The three phases approach was selected to check the validity of the proposed approach. Achieved results show that an instance-based learning algorithm using feature subset selection techniques based on evolutionary algorithms is the best Machine Learning paradigm in automatic emotion recognition, with all different feature sets, obtaining a mean of 80,05% emotion recognition rate in Basque and a 74,82% in Spanish. In order to check the goodness of the proposed process, a greedy searching approach (FSS-Forward) has been applied and a comparison between them is provided. Based on achieved results, a set of most relevant non-speaker dependent features is proposed for both languages and new perspectives are suggested.

Design and implementation of a cloud computing adoption decision tool: Generating a cloud road

Migrating to cloud computing is one of the current enterprise challenges. This technology provides a new paradigm based on "on-demand payment" for information and communication technologies. In this sense, the small and medium enterprise is supposed to be the most interested, since initial investments are avoided and the technology allows gradual implementation. However, even if the characteristics and capacities have been widely discussed, entry into the cloud is still lacking in terms of practical, real frameworks. This paper aims at filling this gap, presenting a real tool already implemented and tested, which can be used as a cloud computing adoption decision tool. This tool uses diagnosis based on specific questions to gather the required information and subsequently provide the user with valuable information to deploy the business within the cloud, specifically in the form of Software as a Service (SaaS) solutions. This information allows the decision makers to generate their particular Cloud Road. A pilot study has been carried out with enterprises at a local level with a two-fold objective: To ascertain the degree of knowledge on cloud computing and to identify the most interesting business areas and their related tools for this technology. As expected, the results show high interest and low knowledge on this subject and the tool presented aims to readdress this mismatch, insofar as possible. Copyright: © 2015 Bildosola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Reducción del riesgo de colisión durante el mecanizado en 5 ejes de piezas de turbomaquinaria mediante simulación en Siemens NX9.

[ES]Este proyecto se concibe como respuesta a la creciente demanda de piezas de turbomaquinaria y a la problemática que entraña su fabricación. En los procesos de mecanizado de tales piezas de geometrías complejas, las colisiones entre herramienta-máquina-utillaje son un problema real que puede ocasionar serias pérdidas económicas. Se implementará una metodología de simulación con Siemens NX9 previa a la fabricación para evitar tales colisiones.

Avaliação da customização por desgaste de pinos pré-fabricados de fibra de vidro

O objetivo deste estudo foi avaliar pinos pré-fabricados de fibra de vidro (White Post DC/FGM) submetidos à customização por desgaste da porção apical. Experimento 1: 5 pinos n. 4 foram divididos em 5 grupos (G) de acordo com o instrumento de desgaste: GA - sem desgaste, GB- mini torno industrial (Dentsply), GC - ponta diamantada n. 3195F (KG Sorensen), GD - disco de lixa de granulação média (Sof-Lex/3M/ESPE), GE- alicate (Tramontina). Observou-se a micromorfologia dos pinos em microscópio eletrônico de varredura (ZEISS/DSM 960). Experimento 2: 60 pinos de diferentes diâmetros foram divididos em 6 grupos: G0 - pinos n. 0,5, G1 - pinos n. 1, G2 - pinos n. 2, G3 - pinos n. 3, G4 - pinos n.4, G5 - pinos n. 4 com terço apical desgastado com discos de lixa até o equivalente ao terço apical dos pinos n. 2. Os pinos foram submetidos ao teste de flexão de 3 pontos na máquina de ensaios universal (Instron 5500 R), conforme ISO 10477. Experimento 3: 20 caninos humanos permanentes sofreram tratamento endodôntico e remoção das coroas clínicas padronizando 15 mm de remanescente radicular. Os dentes foram incluídos em resina acrílica com simulação do ligamento periodontal, receberam férula de 2 mm e foram divididos em 2 grupos: GI - pinos n. 4 cimentados em condutos preparados com broca equivalente ao pino (FGM), GII - pinos n. 4 customizados no terço apical cimentados em condutos preparados com brocas (FGM) equivalentes aos pinos n. 2 em 10 mm e n. 4 em 5 mm. Os pinos foram cimentados com cimento resinoso (Rely X U100/3M/ESPE), os corpos de prova receberam coroas diretas de resina composta (Enforce Core/Dentsply) padronizadas com coras de policarbonato (TDV) e foram submetidos ao teste de resistência à fratura na Instron a 45da ferramenta cilíndrica, com força de 500 N aplicada a 2 mm da incisal na face palatina/lingual, com velocidade de 0,5 mm/min até falha. O padrão de fratura foi classificado em favorável ou desfavorável. Os resultados foram tratados estatisticamente por teste de análise de variância (ANOVA, p<0,05). Os resultados dos testes de flexão e fratura foram respectivamente: G0 - 58,406,40; G1 - 83,959,43; G2- 103,4219,17; G3 - 160,7817,30; G4 - 170,4711,28; G5 - 106,3521,96; GI - 303,0262,21 e GII - 402,81131,97. O padrão de fratura foi tratado por Mann-Whitney que observou semelhança estatística entre os grupos. Concluiu-se que o desgaste de pinos de fibra de vidro com pontas diamantadas ou discos de lixa produz alterações micromorfológicas aceitáveis. O corte com alicate deve ser evitado. A customização por desgaste da porção apical de pinos de fibra de vidro diminui a resistência à flexão a valores aceitáveis. Dentes restaurados com pinos de fibra de vidro customizados por desgaste possuem resistência à fratura superior a dentes restaurados com pinos intactos. A customização por desgaste facilita a adaptação do pino ao conduto radicular e preserva a estrutura dental.

Programación de control numérico de un pedal de batería mediante el software Surfcam.

[ES]El objetivo de este trabajo es programar y mecanizar un molde de inyección de aluminio, con el objetivo de obtener un pedal de batería. Para ello, previamente se necesitará diseñar en CAD el molde, para posteriormente exportarlo al programa Surfcam V4.0, donde se definirán las trayectorias de las herramientas teniendo en cuenta su geometría. Una vez definidas en el programa, éste se ejecutará en un centro de mecanizado sobre un tocho de aluminio.