ESA - Publicações em Proceedings Indexadas à WoS/Scopus
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- Cachaça Classification Using Chemical Features and Computer VisionPublication . Rodrigues, Bruno Urbano; Costa, Ronaldo Martins da; Salvini, Rogério Lopes; Soares, Anderson da Silva; Silva, Flávio Alves da; Caliari, Márcio; Cardoso, Karla Cristina Rodrigues; Ribeiro, Tânia Isabel MonteiroCacha¸ca is a type of distilled drink from sugarcane with great economic importance. Its classification includes three types: aged, premium and extra premium. These three classifications are related to the aging time of the drink in wooden casks. Besides the aging time, it is important to know what the wood used in the barrel storage in order the properties of each drink are properly informed consumer. This paper shows a method for automatic recognition of the type of wood and the aging time using information from a computer vision system and chemical information. Two algorithms for pattern recognition are used: artificial neural networks and k-NN (k-Nearest Neighbor). In the case study, 144 cacha¸ca samples were used. The results showed 97% accuracy for the problem of the aging time classification and 100% for the problem of woods classification.
- Demola co-creation approach: the students´ perspectivePublication . Costa, Cláudia S.; Pereira, Fernando A.; Barbedo, Inês; Almeida, João P.; Almeida-de-Souza, Juliana; Cabo, Paula; Rodrigues, Pedro M.; Ferreira, Rui; Ferro-Lebres, Vera; Kairamo, VilleOn the wings of New Public Management (NPM) and the Bologna Process, Higher Education Institutions (HEI) needed to innovate towards market orientation, both students demanding and social relevance. One way to achieve these objectives is through co-creation processes, involving students and partners outside as companies and public institutions. The purpose of this paper is to assess the satisfaction of Instituto Politécnico de Bragança (IPB) students who actively participated in a co-creation process called Demola, which aims the pedagogical innovation and strengthening the link with and the community. Quantitative data was collected through an online survey that included questions about students' perception on the impact of the co-creation process Demola. The population is 250 students who participated in eight batches in the last four years, working in 44 co-creation cases or challenges. 87 students answered the questionnaire, corresponding to 34,8% of the sample. Main results and conclusions suggested high levels of satisfaction among IPB students’ and are perceived as having very positive impact in skills’ development.
- Employing compact intra-genomic language models to predict genomic sequences and characterize their entropyPublication . Deusdado, Sérgio; Carvalho, PauloProbabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and prediction of “natural” emanations of the language. Language models are devoted to capture salient statistical characteristics of the distribution of sequences of words, which transposed to the genomic language, allow modeling a predictive system of the peculiarities and regularities of genomic code in different inter and intra-genomic conditions. In this paper, we propose the application of compact intra-genomic language models to predict the composition of genomic sequences, aiming to achieve valuable resources for data compression and to contribute to enlarge the similarity analysis perspectives in genomic sequences. The obtained results encourage further investigation and validate the use of language models in biological sequence analysis.