537 research outputs found
Personal Photo Indexing
Sorting one’s own private photo collection is a time consuming and tedious task. We demonstrate our event-centered approach to perform this task fully automatically. In the course of the demonstration, we either use our own photo collections, or invite the conference visitors to bring their own cameras and photos. We will sort the photos into a semantically meaningful hierarchy for the users within a couple of minutes. Events as a media aggregator allow a user to manage and annotate a photo collection in more convenient and natural to the human being way. Based on the recognized user behavior the application is able to re- veal the nature of an event and build its hierarchy with a event/sub-event relationship. One important prerequisite of our approach is a precise GPS based spatial annotation of the photos. To accommodate for devices without GPS chips or temporary low GPS perception, we propose an approach to enrich the collection with automatically estimated GPS data by semantically interpolating possible routes of the user. We are positive that we can provide a well received service for the conference visitors, especially since the conference venue will trigger a lot of memorable photos. Large scale experimental validation showed that the approach is able to recreate a user’s desired hierarchy with an F-measure of about 0.8
Educación social y desarrollo local en el medio rural: proyecto de animación sociocultural y emprendimiento
I si connectem l’educació social i el desenvolupament rural?
Aquest article és una reflexió sobre el lloc que pot ocupar el desenvolupament local als territoris rurals, com un à mbit professional dels i les professionals de l’educació social
Aerodynamic Optimization of High-Speed Trains Nose using a Genetic Algorithm and Artificial Neural Network
An aerodynamic optimization of the train aerodynamic characteristics in term of front wind action sensitivity is carried out in this paper. In particular, a genetic algorithm (GA) is used to perform a shape optimization study of a high-speed train nose. The nose is parametrically defined via Bézier Curves, including a wider range of geometries in the design space as possible optimal solutions. Using a GA, the main disadvantage to deal with is the large number of evaluations need before finding such optimal. Here it is proposed the use of metamodels to replace Navier-Stokes solver. Among all the posibilities, Rsponse Surface Models and Artificial Neural Networks (ANN) are considered. Best results of prediction and generalization are obtained with ANN and those are applied in GA code. The paper shows the feasibility of using GA in combination with ANN for this problem, and solutions achieved are included
El contenido en los medios sociales de los destinos turÃsticos y la búsqueda de información de los usuarios
El objeto de este estudio es el análisis comparado de cómo los destinos turÃsticos utilizan los medios sociales y qué contenidos publican en su estrategia de comunicación; y cómo y qué buscan los usuarios cuando planifican un viaje. Las metodologÃas utilizadas son: entrevistas a directores de comunicación de destinos, encuestas a gestores de medios sociales, análisis de contenido de las publicaciones de los destinos y una encuesta a usuarios. Los resultados muestran ciertas diferencias en los medios sociales utilizados por ambos y en los contenidos publicados por los destinos y buscados por los usuarios, lo cual supone una interesante aportación para la comunicación de los destinos turÃsticos
Comportamiento agronómico de Capsicum annuum L., Lycopersicon esculentum M. y Cucumis melo L. bajo cultivo protegido hidropónico utilizando la solución universal de Steiner
Proyecto de graduación (Licenciatura en IngenierÃa en AgronomÃa) Instituto Tecnológico de Costa Rica, Escuela de AgronomÃa, 2015Three horticultural crops were grown under greenhouse and hydroponic conditions using Steiner‟s Universal Nutrient Solution (1984) in the humid tropic San Carlos area, Costa Rica, on November 2013 and May 2014. Using the cultivars Nathalie and 4212 of sweet pepper (Capsicum annuum L.), JR and Lyro of tomato (Lycopersicon esculentum M.), Sol Real and Acclaim of cantaloupe melon (Cucumis melo L.), two treatments per crop were established which corresponded to each cultivar, a completely randomized design with nested array was used having three replications per treatment. Growth, yield and nutrient uptake were measured. Growth expressed as total dry weight per plant of sweet pepper was 744,1g/plant in cv Nathalie and 809,5g/plant in cv 4212, both cultivars reached 50% in the fruits, for tomato crop was reported 703,4g/plant in cv JR, less than cv Lyro which obtained 1180,5g/plant, representing 53,1% y 69,3% of the harvest respectively; for cantaloupe melon 190,8g/plant was reported in cv Sol Real and 159,9g/plant in cv Acclaim. Production in sweet pepper was 4,69kg/plant in cv Nathalie and 4,70kg/plant in cv 4212, for tomato crop the yield was 8,5kg/plant in cv JR and 10,9kg/plant in cv Lyro, no marketable fruits were obtained in both cultivars of cantaloupe melon. Macronutrient uptake order was K>N>Ca>P>Mg in sweet pepper and tomato crops whereas in cantaloupe melon was K>N>Ca>Mg>P, the cv 4212 reported higher uptake of macronutrients regarding to cv Nathalie, the cv Lyro absorbed more quantity of N, Mg, K y P in contrast to the cv JR which obtained greater Ca content, and the cv Sol Real reported more uptake of macronutrients than the cv Acclaim. Micronutrient uptake order was different for each crop studied; in sweet pepper the Mn and Zn were the most absorbed while in tomato were Zn and Fe; in cantaloupe melon the Mn and Fe were the most demanded micronutrients. The use of a limited nutrition regarding to the Steiner‟s Universal Nutrient Solution (1984) represented a different performance in the three horticultural crops under this study.Instituto Tecnológico de Costa Rica. VicerrectorÃa de Investigación y Extensió
MethOSM: a methodology for computing composite indicators derived from OpenStreetMap data
The task of computing composite indicators to define and analyze complex social, economic, political, or environmental phenomena has traditionally been the exclusive competence of statistical offices. Nowadays, the availability of increasing volumes of data and the emergence of the open data movement have enabled individuals and businesses affordable access to all kinds of datasets that can be used as valuable input to compute indicators. OpenStreetMap (OSM) is a good example of this. It has been used as a baseline to compute indicators in areas where official data is scarce or difficult to access. Although the extraction and application of OSM data to compute indicators is an attractive proposition, this practice is by no means hassle-free. The use of OSM reveals a number of challenges that are usually addressed with ad-hoc and often overlapping solutions. In this context, this paper proposes MethOSM-a systematic methodology for computing indicators derived from OSM data. By applying MethOSM, the computation task is divided into four steps, with each step having a clear goal and a set of guidelines to apply. In this way, the methodology contributes to an effective and efficient use of OSM data for the purpose of computing indicators. To demonstrate its use, we apply MethOSM to a number of indicators used for real estate valuation of properties in Italy
ATOKA.IO : el grafo más grande de información empresarial oficial y no oficial en Italia
Presentación realizada en el marco del Proyecto: Yo Digital: educación y desarrollo de infraestructuras en ciberseguridad y privacidad.CONACYT - Consejo Nacional de Ciencias y TecnologÃaPROCIENCI
¿Es la clase obrera una entelequia? : El antimarxismo militante
A partir de un debate mantenido en las redes sociales, el autor critica la simplificación y el rechazo que la historiografÃa y el pensamiento marxista han sufrido en las últimas décadas. Se defiende la validez interpretativa de las diversas corrientes del materialismo histórico del siglo XX y su componente ideológico progresista y democrático.Based on a debate in social networks, the author criticizes the simplification and rejection that historiography and Marxist thinking have suffered in recent decades. The interpretative validity of the various currents of the historical materialism of the twentieth century and its progressive and democratic ideological component is defended
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