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Rui Santos

Bio: Rui Santos is an academic researcher from University of Beira Interior. The author has contributed to research in topics: Higher education & Mel-frequency cepstrum. The author has an hindex of 2, co-authored 2 publications receiving 23 citations.

Papers
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Journal ArticleDOI
09 Jan 2018-Sensors
TL;DR: audio fingerprinting techniques that can be used with the acoustic data acquired from mobile devices using data acquired with mobile devices published between 2002 and 2017 are reviewed.
Abstract: An increase in the accuracy of identification of Activities of Daily Living (ADL) is very important for different goals of Enhanced Living Environments and for Ambient Assisted Living (AAL) tasks. This increase may be achieved through identification of the surrounding environment. Although this is usually used to identify the location, ADL recognition can be improved with the identification of the sound in that particular environment. This paper reviews audio fingerprinting techniques that can be used with the acoustic data acquired from mobile devices. A comprehensive literature search was conducted in order to identify relevant English language works aimed at the identification of the environment of ADLs using data acquired with mobile devices, published between 2002 and 2017. In total, 40 studies were analyzed and selected from 115 citations. The results highlight several audio fingerprinting techniques, including Modified discrete cosine transform (MDCT), Mel-frequency cepstrum coefficients (MFCC), Principal Component Analysis (PCA), Fast Fourier Transform (FFT), Gaussian mixture models (GMM), likelihood estimation, logarithmic moduled complex lapped transform (LMCLT), support vector machine (SVM), constant Q transform (CQT), symmetric pairwise boosting (SPB), Philips robust hash (PRH), linear discriminant analysis (LDA) and discrete cosine transform (DCT).

26 citations

26 Sep 2017
TL;DR: In this article, the authors analyzed the effect of entrepreneurship education, self-efficacy, family history and propensity to take risks in the entrepreneurial intention of Portuguese higher education students in the central region.
Abstract: The purpose of this investigation is to analyse the effect that the Entrepreneurship Education, self-efficacy, family history and propensity to take risks in the entrepreneurial intention of Portuguese higher education students in the central region. The theoretical support was corroborated with the empirical literature at Entrepreneurship Education. To test the formulated hypotheses empirically. The methods of factorial analysis and logistic regression were applied. For the analysis of the relationships between the variables a multiple linear regression was performed, where it is possible to identify which determinants (independent variables) that predict the intentions / attitudes (dependent variables) of Portuguese higher education students The results concluded that when analysing the relationship between the teaching of entrepreneurship and the entrepreneurial intention it is possible to verify that, the teaching of entrepreneurship has a significant influence on the entrepreneurial intention. This research aims to contribute to the development of entrepreneurial activities in higher education students throughout Portugal and the proactivity of political and school agents in the dynamization of entrepreneurship in young students.

5 citations


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TL;DR: In this paper, the authors proposed a framework based on the theory of planned behaviour (TPB) to evaluate the design of entrepreneurship education programs (EEP) and the increasing resources allocated.
Abstract: Purpose – Facing the multiplication of entrepreneurship education programmes (EEP) and the increasing resources allocated, there is a need to develop a common framework to evaluate the design of those programmes. The purpose of this article is to propose such a framework, based on the theory of planned behaviour (TPB). Design/methodology/approach – TPB is a relevant tool to model the development of entrepreneurial intention through pedagogical processes. The independent variables are the characteristics of the EEP and the dependent variables are the antecedents of entrepreneurial behaviour. To illustrate and test the relevance of the evaluation methodology, a pilot study is conducted. Findings – Data are consistent and reliable, considering the small scale of this experiment. The EEP assessed had a strong measurable impact on the entrepreneurial intention of the students, while it had a positive, but not very significant, impact on their perceived behavioural control. Research implications/limitations – This is a first step of an ambitious research programme aiming at producing theory-grounded knowledge. Reproduction of the experiment will allow researchers to test how specific characteristics of an EEP influence its impact and how the impact differs across several cohorts of students. Those comparisons will serve to improve a priori the design of EEP. Originality/value – The new methodology is built on a robust theoretical framework and based on validated measurement tools. Its originality is about a relative – longitudinal – measure of impact over time and a particular use of the theory of planned behaviour which is seen as an assessment framework.

873 citations

01 Jan 1961
TL;DR: The authors argued that cultural customs and motivations, especially the motivation for achievement, are the major catalysts of economic growth and proposed a plan to accelerate economic growth in developing countries by encouraging and supplementing their achievement motives through mobilizing the greater achievement resources of developed countries.
Abstract: Examines the motivation for achievement as a psychological factor that shapes economic development. Refuting arguments based on race, climate, or population growth, the book instead argues for cultural customs and motivations - especially the motivation for achievement - as the major catalysts of economic growth. Considering the Protestant Reformation, the rise of capitalism, parents' influences on sons, and folklore and children's stories as shaping cultural motivations for achievement, the book hypothesizes that a high level of achievement motivation precedes economic growth. This is supported through qualitative analysis of the achievement motive, as well as of other psychological factors - including entrepreneurial behavior and characteristics, and available sources of achievement in past and present highly achieving societies. It is the achievement motive - and not merely the profit motive or the desire for material gain - that has advanced societies economically. Consequently, individuals are not merely products of their environment, as many social scientists have asserted, but also creators of the environment, as they manipulate it in various ways in the search for achievement. Finally, a plan is hypothesized to accelerate economic growth in developing countries, by encouraging and supplementing their achievement motives through mobilizing the greater achievement resources of developed countries. The conclusion is not just that motivations shape economic progress, but that current influences on future people's motivations and values will determine economic growth in the long run. Thus, it is most beneficial for a society to concentrate its resources on creating an environment conducive to entrepreneurship and a strong ideological base for achievement. (CJC)

359 citations

Posted Content
TL;DR: In this paper, a review of the literature on entrepreneurial intention is carried out, which offers a clearer picture of the sub-fields in entrepreneurial intention research, by concentrating on two aspects: citation analysis and thematic analysis.
Abstract: Entrepreneurial intention is a rapidly evolving field of research. A growing number of studies use entrepreneurial intention as a powerful theoretical framework. However, a substantial part of this research lacks systematization and categorization, and there seems to be a tendency to start anew with every study. Therefore, there is a need to take stock of current knowledge in this field. In this sense, this paper carries out a review of the literature on entrepreneurial intentions. A total of 409 papers addressing entrepreneurial intention, published between 2004 and 2013 (inclusive), have been analyzed. The purpose and contribution of this paper is to offer a clearer picture of the sub-fields in entrepreneurial intention research, by concentrating on two aspects. Firstly, it reviews recent research by means of a citation analysis to categorize the main areas of specialization currently attracting the attention of the academic community. Secondly, a thematic analysis is carried out to identify the specific themes being researched within each category. Despite the large number of publications and their diversity, the present study identifies five main research areas, plus an additional sixth category for a number of new research papers that cannot be easily classified into the five areas. Within those categories, up to twenty-five different themes are recognized. A number of research gaps are singled out within each of these areas of specialization, in order to induce new ways and perspectives in the entrepreneurial intention field of research that may be fruitful in filling these gaps.

229 citations

Journal ArticleDOI
TL;DR: A comprehensive analysis of the usability and user-perceived quality of mobile health applications and the challenges related to scientific validation of these mobile applications is provided.
Abstract: Mobile health applications are applied for different purposes. Healthcare professionals and other users can use this type of mobile applications for specific tasks, such as diagnosis, information, prevention, treatment, and communication. This paper presents an analysis of mobile health applications used by healthcare professionals and their patients. A secondary objective of this article is to evaluate the scientific validation of these mobile health applications and to verify if the results provided by these applications have an underlying sound scientific foundation. This study also analyzed literature references and the use of mobile health applications available in online application stores. In general, a large part of these mobile health applications provides information about scientific validation. However, some mobile health applications are not validated. Therefore, the main contribution of this paper is to provide a comprehensive analysis of the usability and user-perceived quality of mobile health applications and the challenges related to scientific validation of these mobile applications.

67 citations

Journal ArticleDOI
03 Oct 2019-Sensors
TL;DR: A hybrid system for recognizing multiple activities of construction equipment that integrates two major sources of data—audio and kinematic—through implementing a robust data fusion procedure and results indicate that a hybrid system is capable of providing up to 20% more accurate results, compared to cases using individual sources ofData.
Abstract: Automatically recognizing and tracking construction equipment activities is the first step towards performance monitoring of a job site. Recognizing equipment activities helps construction managers to detect the equipment downtime/idle time in a real-time framework, estimate the productivity rate of each equipment based on its progress, and efficiently evaluate the cycle time of each activity. Thus, it leads to project cost reduction and time schedule improvement. Previous studies on this topic have been based on single sources of data (e.g., kinematic, audio, video signals) for automated activity-detection purposes. However, relying on only one source of data is not appropriate, as the selected data source may not be applicable under certain conditions and fails to provide accurate results. To tackle this issue, the authors propose a hybrid system for recognizing multiple activities of construction equipment. The system integrates two major sources of data-audio and kinematic-through implementing a robust data fusion procedure. The presented system includes recording audio and kinematic signals, preprocessing data, extracting several features, as well as dimension reduction, feature fusion, equipment activity classification using Support Vector Machines (SVM), and smoothing labels. The proposed system was implemented in several case studies (i.e., ten different types and equipment models operating at various construction job sites) and the results indicate that a hybrid system is capable of providing up to 20% more accurate results, compared to cases using individual sources of data.

25 citations