ESTiG - Capítulos de Livros
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- Academic entrepreneurship framework: the best practices of Bragança Polytechnic InstitutePublication . Pires, José Adriano; Fernandes, Paula Odete; Sampaio, Jorge Humberto; Lopes, JoanaAcademics in the fields of entrepreneurship and innovation studies have long been interested in the entrepreneurial behaviour of Higher Education researchers and Higher Education Institutions entrepreneurial activities more generally (Chrisman et al., 1995; Stuart & Ding, 2006; Rothaermel et al., 2007). Some academics are in agreement that the contribution of academic researchers in business activities solves some imperfections in the transmission of knowledge, and motivates researchers to undertake projects with greater economic and social relevance (Gittelman & Kogut, 2003; Etzkowitz, 2004).
- Acoustic characterisation of the tonic syllable in portuguesePublication . Teixeira, João Paulo; Freitas, Diamantino SilvaA particular problem for the automatic prediction of prosody in speech synthesis is the realisation of accented syllables since these are affected by many parameters and are perceptually very salient. For the Portuguese language, in Europe, a set of comprehensive quantitative characterisation data and rules is totally lacking. The present paper is intended to be a quantitative contribution to the solution of this problem. In this paper, a preliminary modelling of duration, intensity and variation of F0 in the tonic syllable will be presented. The dependencies of the model with the syllable position in the word and the word position in the phrase are also presented.
- Advances in artificial intelligence to model student-centred VLEsPublication . Alves, PauloThe challenges to the educational paradigm, introduced with the change from a teacher to a student centred paradigm, has several implications in the organization of all the educational system. The adoption of e-learning in all of the educational levels, was a huge step forward in terms of access to resources without constrains of space and time. But e-learning didn’t reach the plato in lifelong learning scenarios, because we have a great diversity of learning contexts in universities, with more students come back to update their knowledge when they are already in the work market. The paradigm “one size fits all” is still being applied and all the pedagogical approaches adopt the traditional lecturer centred paradigm. Student centred learning is an educational paradigm that gives students greater autonomy and control over choice of subject matter, learning methods and pace of study (Gibbs, 1992). This approach is very similar to the Bologna Process goals in terms of student centred model based on learning outcomes and competences. Some of the characteristics of effective learners in the student centred learning paradigm are (de la Harpe et al., 1999): • Have clear learning goals; • Have a wide repertoire of learning strategies and know when to use them; • Use available resources effectively; • Know about their strengths and weaknesses; • Understand the learning process; • Deal appropriately with their feelings; • Take responsibility for their own learning; • Plan, monitor, evaluate and adapt their learning process. The majority of virtual learning environments (VLE) are used as mere repositories of content, based on the classroom paradigm and don’t support the individualization of the learning process. According to Dias (Dias, 2004), building spaces for online learning is a challenge that goes beyond the simple transfer of content to the Web. This approach tends to transform the environments in online repositories of information rather than in the desired spaces of interaction and experimentation. To allow a greater adaptation of the learning environment based on the student's profile, is proposed the adoption of theories of artificial intelligence in education, based on the learning experience, adapting contents and contexts to the student needs.
- Alzheimer’s disease recognition with artificial neural networksPublication . Rodrigues, Pedro Miguel; Teixeira, João PauloAlzheimer’s disease (AD) is the most common cause of dementia, and is well known for affect the memory loss and other intellectual disabilities. The Electroencephalogram (EEG) has been used as diagnosis tool for dementia over several decades. The main objective of this work was to develop an Artificial Neural Network (ANN) to classify EEG signals between AD patients and Control subjects. For this purpose two different methodologies and variations were used. The Short time Fourier transform (STFT) was applied to one of the methodologies and the Wavelet Transform (WT) was applied to the other methodology. The studied features of the EEG signals were the Relative Power in conventional EEG bands (delta, theta, alpha, beta and gamma) and their associated Spectral Ratios (r1, r2, r3 and r4). The best classification was performed by the ANN using the WT Biorthogonal 3.5 with AROC of 0.97, Sensitivity of 92.1%, Specificity of 90.8% and 91.5% of Accuracy.
- Alzheimer’s electroencephalogram event scalp and source localizationPublication . Rodrigues, Pedro Miguel; Teixeira, João Paulo; Freitas, Diamantino SilvaAlzheimer’s disease is the most common cause of dementia which causes a progressive and irreversible impairment of several cognitive functions. The aging population has been increasing significantly in recent decades and this disease affects mainly the elderly. Its diagnostic accuracy is relatively low and there is not a biomarker able to detect AD without invasive tests. Despite the progress in better understanding the disease there remains no prospect of cure at least in the near future. The electroencephalogram (EEG) test is a widely available technology in clinical settings. It may help diagnosis of brain disorders, once it can be used in patients who have cognitive impairment involving a general decrease in overall brain function or in patients with a located deficit. This study is a new approach to improve the scalp localization and the detection of brain anomalies (EEG temporal events) sources associated with AD by using the EEG.
- An agent-based industrial cyber-physical system deployed in an automobile multi-stage production systemPublication . Queiroz, Jonas; Leitão, Paulo; Barbosa, José; Oliveira, Eugénio; Garcia, GiselaIndustrial Cyber-Physical Systems (CPS) are promoting the development of smart machines and products, leading to the next generation of intelligent production systems. In this context, Artificial Intelligence (AI) is posed as a key enabler for the realization of CPS requirements, supporting the data analysis and the system dynamic adaptation. However, the centralized Cloud-based AI approaches are not suitable to handle many industrial scenarios, constrained by responsiveness and data sensitivity. Edge Computing can address the new challenges, enabling the decentralization of data analysis along the cyber-physical components. In this context, distributed AI approaches such as those based on Multi-agent Systems (MAS) are essential to handle the distribution and interaction of the components. Based on that, this work uses a MAS approach to design cyber-physical agents that can embed different data analysis capabilities, supporting the decentralization of intelligence. These concepts were applied to an industrial automobile multi-stage production system, where different kinds of data analysis were performed in autonomous and cooperative agents disposed along Edge, Fog and Cloud computing layers. © 2020, Springer Nature Switzerland AG.
- An effective way to teach language processing coursesPublication . Pereira, Maria João; Oliveira, Nuno; Cruz, Daniela; Henriques, Pedro RangelIn this chapter we identify the difficulties that lead students of Language Processing (LP) courses to fail. All of us that teach Language Processing topics are aware of the complexity of this task; we know that a great part of the students will face big difficulties inherent to the level of abstraction associated with some of the basic concepts in the area, and to the technical capacities required to implement efficient processors. A key issue that we have identified along the years we are teaching Language Processing courses is the lack of students’ motivation to learn the main topics. This issue is something that we want to overcome with our proposal. A starting point for this research is to identify the main concepts involved in Language Processing subject, and to understand the skills required to learn them. Considering that a person just learns when is involved in a process we argue that motivation is a crucial factor to engage students in the course work allowing them to achieve the required knowledge acquisition. We will state that motivation is highly dependent on the languages used to work on during the course. So, we discuss the characteristics that a language should have to be a motivating case study. We think that LP teachers should be very careful in their choices and be astute in the way they explore the underlying grammars along the course evolution.
- An integrated approach to short-term mobility for visiting lecturersPublication . Lopes, Rui PedroStudent, teaching and non-teaching staff mobility is a fundamental aspect of internationalization in Higher Education in Europe. There have been several programmes that support mobility, in and outside the European context, such as the Erasmus+ programme. However, mobility is not the single expression of internationalization. Cooperation, joint degrees, intensive programmes for language learning, among others, contribute to a more open, solid and high quality education. This article describes the process followed in the organization of short-term teacher mobility in the scope of the Erasmus programme, with the intention of providing valuable learning experiences to students of the destination HEI. This happened in 2014, and refers to the experience as a visiting lecturer in a master’s degree in computer science. The experience was jointly planned and discussed with the degree coordinator, to provide adequate curricular integration.
- Aplicando uma metodologia de aprendizagem colaborativa no ensino de programaçãoPublication . Aires, Simone Bello Kaminski; Aires, Joao Paulo; Pereira, Maria João; Alves, Luís M.Este artigo aborda os resultados obtidos na utilização de uma metodologia de ensino colaborativa em uma turma com alunos ingressantes de um Curso de Bacharelado em Ciência da Computação. O grupo no qual a pesquisa foi implementada foi composto de 45 alunos matriculados na disciplina de Algoritmos do primeiro semestre de 2018. Para a estratégia de ensino, foi aplicado o Método Trezentos, que consiste na divisão da turma em grupos de trabalho colaborativo com oito alunos. Com esta metodologia, constatou-se uma melhora significativa não somente nas notas obtidas pelos estudantes, como, também, no percentual de aprovação. Com base nos dados históricos dos últimos anos, é possível perceber que o método se mostrou eficiente, uma vez que ao aplicar tal estratégia, houve ampliação no percentual de aprovação de 50,0% para 58,7% dos matriculados na disciplina.
- Artigo 10º Mais-valiasPublication . Aguiar, NinaA Faculdade de Direito da Universidade do Porto ( FDUP ) e o Centro de lnvestigação Juridico Económica ( CIJE), em parceria como portal digital Lexit, lançaram no final de 2011 um projeto ambicioso de investigação nas áreas da fiscalidade e comercial que consiste na anotação de disposições legais dos códigos fiscais e das sociedades comerciais, disponibilizados em versão electrónica.