http://hdl.handle.net/10174/115 2026-04-08T20:48:05Z 2026-04-08T20:48:05Z Javier, Leon http://hdl.handle.net/10174/35196 2023-05-18T10:00:41Z 2022-04-30T23:00:00Z

Title: App BL-SLAM Authors: Javier, Leon Abstract: BL-SLAM consist in process 3D data from a velodyne lidar mounted on a vehicle. Using these data is progressively build a map and estimate the trajectory of the vehicle using simultaneous localization and mapping (SLAM), having as main processes Odometry and graph-optimization.

2022-04-30T23:00:00Z Sales-Baptista, Elvira Ferraz-de-Oliveira, Maria Isabel Cancela d'Abreu, Manuel Salgueiro, Pedro Rato, Luís Miguel http://hdl.handle.net/10174/26986 2020-02-17T16:47:49Z 2018-10-31T00:00:00Z

Title: Pastor.i _ Uma aplicação de smartphone para facilitar a gestão do pastoreio Authors: Sales-Baptista, Elvira; Ferraz-de-Oliveira, Maria Isabel; Cancela d'Abreu, Manuel; Salgueiro, Pedro; Rato, Luís Miguel Abstract: Grazing in extensive beef farming systems is often manage in an empirical way based on past experience and on the visual appreciation of animal behavior and forage potential. Records of entrances and exits of the animals in the paddocks in a regular basis are rare. However, knowing the occupation period and the animal density, when coupled with biomass defines the grazing pressure and carry capacity. This knowledge is essential for planning and making informed decisions, that influence the profitability of the farm. Moreover, adequate grazing pressure is crucial for the sustainability of many SSPs where system maintenance is dependent on the balance between grazing pressure and regeneration or maintenance of trees and shrubs. Pastor.i is a smartphone application (APP) designed to allow pasture data logging to be very simple. The application is synchronized with the website and allows the producer to have in his pocket all the farm, being possible to identify the paddock, calculate the area, record the movements of the animals and consult the occupation history of the paddock. The application calculates the actual stocking rate, that can be associated with the location of the animals, obtained if the animals are using collars with GPS, which allows to know the areas of the paddock that are most grazed, visualized through heat maps. The information enables localized actions, such as fertilizing or sowing, to improve areas that are not grazed. The application also allows you to save photos of the sward. This temporal photographic record provides information on the condition of trees, the botanical composition and on the tendency of grazing to improve or to worsen coverage. The APP is available for download, is compatible with Android and is being tested with focus groups.

2018-10-31T00:00:00Z Ghosh, Swarnendu Das, Nibaran Gonçalves, Teresa Quaresma, Paulo http://hdl.handle.net/10174/20666 2017-02-06T12:05:17Z 2016-08-31T23:00:00Z

Title: Representing image captions as concept graphs using semantic information Authors: Ghosh, Swarnendu; Das, Nibaran; Gonçalves, Teresa; Quaresma, Paulo Abstract: Conceptual interpretation of languages has gathered peak interest in the world of artificial intelligence. The challenge in modeling various complications involved in a language is the main motivation behind our work. Our main focus in this work is to develop conceptual graphical representation for image captions. We have used discourse representation structure to gain semantic information which is further modeled into a graphical structure. The effectiveness of the model is evaluated by a caption based image retrieval system. The image retrieval is performed by computing subgraph based similarity measures. Best retrievals were given an average rating of𝟐.𝟗𝟓±𝟎.𝟕𝟎𝟕out of 4 by a group of 25 human judges. The experiments were performed on a subset of the SBU Captioned Photo Dataset. This purpose of this work is to establish the cognitive sensibility of the approach to caption representations

2016-08-31T23:00:00Z Saias, José Quaresma, Paulo http://hdl.handle.net/10174/1564 2009-04-15T15:21:07Z 2007-01-01T00:00:00Z

Title: The Senso Question Answering approach to Portuguese QA@CLEF-2007 Authors: Saias, José; Quaresma, Paulo Abstract: This article has the Working Notes about the Universidade de Évora's participation in QA@CLEF2007 (http://www.clef-campaign.org/), based on the Senso question answer system and the Portuguese monolingual task.

2007-01-01T00:00:00Z