01. Universidade Federal Rural de Pernambuco - UFRPE (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/1
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Resultados da Pesquisa
Item Desenvolvimento de um sistema auxiliar para controle de acesso de veículos para a Universidade Federal Rural de Pernambuco(2024-03-08) Izidio, Stefany Vitória da Conceição; Garrozi, Cícero; http://lattes.cnpq.br/0488054917286587; http://lattes.cnpq.br/0642557485551355Currently, vehicle access control to the Federal Rural University of Pernambuco is done manually on paper by university employees. There is also direct release for vehicles that register with the university and receive a specific sticker to use on the windshield. This type of control is not very safe, as it can be easily cloned and used by vehicles without real authorization. Furthermore, there is a short diversion of the employee's attention when he performs the manual work of writing down the sign on paper. This work aims to make the vehicle control process more reliable and safe through the development of a prototype of a system that assists in access control. This work proposes a solution by capturing an image of the license plate, identifying the vehicle plate and checking in a database whether the plate is previously registered or not. And, the system produces a light signal to indicate to the employee whether the license plate is registered or not. To achieve this, a hardware product was assembled and embedded software was developed. The hardware consists of a set of electronic devices such as LEDs, camera, processing device, etc. The software is a set of libraries that were, for the most part, developed in Python. For the embedded software, a set of images with photos of Brazilian car license plates was used to train an object detection model to detect the license plates. Finally, an optical character recognition service was used to extract the content of the plate, thus making it possible to register and emit the light signal to the user.Item Estudo comparativo de técnicas de seleção de contextos em sistemas de recomendação de domínio cruzado sensivéis ao contexto(2018) Brito, Victor Sales de; Silva, Douglas Véras e; http://lattes.cnpq.br/2969243668455081; http://lattes.cnpq.br/0340874538265508There are several approaches to implement a recommendation system, such as CrossDomain Context-Aware Recommendation Systems (CD-CARS), which was used in this work because it enables quality improvement of recommendations using multiple domains (e.g. books, movies and musics), while taking into account the use of contexts (e.g. season, time, company and location). However, caution is needed in using contexts to make items suggestions, since the contexts may impair the recommendation performance when they are considered “irrelevants”. Therefore, the selection of relevant contexts is a key factor for the development of CD-CARS, and there is a lack of papers for selection techniques in datasets with contextual information and cross-domain. Thus, this work applied the Information Gain (IG), Chi-square test, Minimum Redundancy Maximum Relevance (MRMR) and Monte Carlo Feature Selection (MCFS) techniques in twelve datasets with three different contextual dimensions (time, location and company) and distinct domains (books, television and musics). Finally, from the results obtained, the MCFS technique was able to classify the relevance of the contexts in a more satisfactory way than other techniques.