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- Emotional Intelligence Assessment, Interpersonal Communication and Integration of People With Disabilities in the Portuguese Labour MarketPublication . Nogueira, Marta; Sousa, Célia; Cuadrado-Gordillo, IsabelThis research aims to evaluate emotional intelligence, interpersonal communication and the integration of PwD's in the labor market. In this sense, and given the difficulties experienced by these people during the process of labor inclusion, we have tried to: explore and understand the emotions felt by these workers during their working hours and how they manage them; how communication is processed in this context; and also to verify to what extent the Convention on the Rights of Persons with Disabilities has improved the process of inclusion. The mixed methodology was used, using qualitative and quantitative research. Fifty workers with disabilities and 314 work colleagues of the Auchan Portugal Group participated in the study. The results showed that the PwD's recognize their emotions when interacting with co-workers, however most disguise them when they feel discomfort, ending up not having a clear communication at the organizational level. Moreover, it was found that, although most PwD's feel integrated, it suggests a greater sensitivity of the employer, adapted work and more accessibility in the workplace.
- Adaptive Deep Learning-Based Point Cloud Geometry CodingPublication . Andre F. R. Guarda; Rodrigues, Nuno M. M.; Fernando PereiraPoint clouds are a very rich 3D visual representation model, which has become increasingly appealing for multimedia applications with immersion, interaction and realism requirements. Due to different acquisition and creation conditions as well as target applications, point clouds’ characteristics may be very diverse, notably on their density. While geographical information systems or autonomous driving applications may use rather sparse point clouds, cultural heritage or virtual reality applications typically use denser point clouds to more accurately represent objects and people. Naturally, to offer immersion and realism, point clouds need a rather large number of points, thus asking for the development of efficient coding solutions. The use of deep learning models for coding purposes has recently gained relevance, with latest developments in image coding achieving state-of-the-art performance, thus making natural the adoption of this technology also for point cloud coding. This paper presents a novel deep learning-based solution for point cloud geometry coding which is able to efficiently adapt to the content’s characteristics. The proposed coding solution divides the point cloud into 3D blocks and selects the most suitable available deep learning coding model to code each block, thus maximizing the compression performance. In comparison to the state-of-the-art MPEG G-PCC Trisoup standard, the proposed coding solution offers average quality gains up to 4.9dB and 5.7dB for PSNR D1 and PSNR D2, respectively.
- Relationship between body image and motivation in dancersPublication . Faria, Beatriz; Frontini, Roberta; Antunes, RaulConsidering the importance of understanding how dancers perceive their body image, it is important to analyse the relationships that are established with other factors, namely with the way dancers regulate their behaviour. Therefore, the purpose of this work was to analyse the relationship between the way dancers regulate their behaviour and their satisfaction with body image, including a comparison between adolescents and adults.
- Emotional Intelligence, Interpersonal Communication and Integration of People With Disabilities Inserted in the Labor MarketPublication . Nogueira, Marta; Sousa, Célia; Cuadrado-Gordillo, IsabelThe main objective of this doctoral research is to understand how the labour market integrates the people with disabilities (PwD's), to understand what emotions they feel and how they generate them throughout the working day, and also to know how communication is processed in the workplace. In this study, the mixed methodology was chosen, using qualitative and quantitative research. In the qualitative methodology, the semi-structured interview was used and in the quantitative methodology, the questionnaire was used. The sample consisted of 50 workers with disabilities and 314co-workers of the same(n=314), employees of the Auchan Portugal Group. Through the results obtained, the PwD's recognize their emotions when interacting with their co-workers, however, most disguise the discomfort felt, not communicating clearly what emotions they felt. Most disabled workers have a high degree of awareness of the emotions experienced in the workplace but are reluctant to communicate these emotions to co-workers. This prevents colleagues from understanding what PwD is feeling and is an obstacle to clear communication.
- 360° Video Coding using Adaptive Tile PartitioningPublication . Carreira, J.; Faria, Sergio M. M. de; Tavora, Luis M. N.; Navarro, Antonio; Assuncao, Pedro A.Encoding 360° video with ultra high definition requires high bit rate to guarantee either immersive experiences and acceptable QoE in video delivery services, or high performance in machine vision applications. However, since in general the full Field-of-View (FoV), i.e., 360°, is not required at once, a great deal of bandwidth can be saved by allowing partial decoding of limited size FoVs. The conventional approach to accomplish such goal has been to encode several fixed-size independent tiles of each video frame. In this work a novel tile-based video coding scheme is proposed to achieve further reduction on the average maximum bit rate required for partial delivery of 360° video. The proposed method dynamically adapts the tile sizes to the omnidirectional video content in order to obtain uniform bit rate in each one. Therefore, more complex image regions, i.e., those requiring higher bit rates are partitioned in smaller tiles, allowing finer bit rate granularity when FoVs with higher spatiotemporal complexity are selected for transmission and decoding. The simulation results show that the proposed adaptive tile-based coding mechanism outperforms the conventional fixed-size tilling methods, achieving an average of 4.78% and 16.88% bit rate reduction for FoVs of 90° × 90° and 45° × 45°, respectively.
- Proposed 5G Waveforms Performance Evaluation with Multiantenna MIMO SystemPublication . Abdullahi, Aliyu B.; Uggalla, Leshan C; Caldeirinha, Rafael F. S.; Eastment, JonathanExponential growth in mobile wireless service subscriptions in recent years and its corresponding data traffic poses a serious threat to wireless communication systems. This has triggered research to improve the current wireless system hence 5G gained substantial attention. As the keys enabling features in deploying wireless systems., the choice of the multicarrier waveform has a significant impact in designing system transceivers., and further impact on the overall system performances. Although the 4G system is successful with CP-OFDM multicarrier., due to overwhelming users' growth., several factors make this system unsuitable to many 5G applications owing to strict synchronization and orthogonality requirement in this multicarrier waveform. This paper aims at modeling and evaluating system using the 3GPP new waveforms proposed for 5G wireless design. System model explores the 4G LTE-Advanced physical layer specifications with additional filtering specifications of 3GPP Technical Report. Results obtained were compared with the existing 4G multicarrier system., which shows an improved system performance with the proposed new waveform.
- Light Field Disparity Map Enhancement with Morphological FilteringPublication . Lourenco, Rui; Thomaz, Lucas A.; Silva, Eduardo A. B. da; Assuncao, Pedro A. A.; Tavora, Luis M. N.; Faria, Sergio M. M. deLight field disparity estimation algorithms are comprised of two steps: an initial estimation step and a global optimization step. The initial estimation is often noisy and may contain high amplitude artefacts. Global optimization techniques might inadequately propagate these artefacts, providing suboptimal results. In this paper, an iterative morphological filter is proposed as an intermediate step or replacement to global optimization techniques. This algorithm iteratively filters the disparity map with an average of Open followed by Close and Close followed by Open morphological operations, enabling the removal of artefacts and noise, without adversely affecting the structure of the disparity map. The iterative open-close close-open filter attenuates the effect of artefacts and noise from an initial disparity estimation, achieving improvements of up to 90%, and more than 30%, on average, in terms of mean square error, when applied to the a structure-tensor-based initial estimation. In addition, the proposed method proves to be competitive with another state of the art algorithm, in terms of mean square error, and superior in terms of percentage of bad pixels.
- O procedimento disciplinar: estudo de casoPublication . Guerra, Ana Maria Moucho Paulo; Costa, Ana Isabel LambelhoO presente relatório foi desenvolvido no âmbito do estágio curricular do segundo ano do Mestrado em Solicitadoria de Empresa. A sua elaboração versa sobre a análise e estudo de um caso real. Começamos o presente relatório com um breve enquadramento da entidade de estágio, seguindo com uma descrição das tarefas realizadas ao longo do estágio, de onde consta o tratamento do tema que desenvolvemos. O tema escolhido foi o procedimento disciplinar e iniciaremos o estudo com uma descrição dos acontecimentos, passando para a definição do procedimento disciplinar, e desenvolvendo todas as fases do procedimento disciplinar, sendo elas a fase da acusação, da defesa, da Instrução, da decisão e da impugnação. O enfoque deste Relatório será iminentemente prático, requerido pela natureza de um estudo de caso. Todavia, não deixaremos de realizar o enquadramento doutrinal e jurisprudencial das questões abordadas.
- Have Fintech companies higher values than their traditional financial peers?Publication . Vila, Yoandy Santana; Jorge, Maria João da Silva; Duarte, Elisabete Fernanda MendesThe main objective of this paper is to prove that fintech companies have more value than traditional financial companies. To achieve that, we selected a sample of 13 fintech firms from the KBW Nasdaq Financial Technology Index plus 93 firms from the NASDAQ Financial-100 Index, all of them listed on the NASDAQ Composite Index. We created three portfolios: fintech firms (13); traditional financial firms (93) and the full market portfolio (106). Using the three-factor model of Fama and French, we compared the weekly returns of the fintech portfolio with the two others as benchmarks. Our empirical results showed statistically significant evidence that the fintech portfolio outperform both benchmarks portfolios, and so we can prove our hypothesis that the fintech companies create more value than traditional financial companies.
- Green Supply Chain Management: a case study of Brazilian cosmetic firmsPublication . Araújo, Adélia Cristina Evangelista Silva de; Simões, Paula Marisa NunesThe increasing environmental concern can be seen as a challenge and a strategic issue for firms nowadays. Within this context, green supply chain management (GSCM) can provide a solution to this problem, as it is a way to achieve competitive advantage while enhancing the environmental sustainability. This dissertation attempts to bridge a gap in GSCM theory by analysing it in the context of the cosmetic sector in a developing country from South America. By doing so, we intend to analyse GSCM in Brazilian cosmetic sector. The aim of this dissertation is threefold: to examine the pressures for the adoption of green practices in SC in Brazil, to estimate the effect on its operation and to understand the way the central firm induces GSCM practices on its suppliers. Thus, three research questions (RQ) guide the study: RQ1: What are the main institutional pressures that have influenced the adoption of GSCM practices in Brazilian cosmetic firms?; RQ2: What is the effect (economic and environmental) of GSCM practices implementation for the cosmetic firm?; RQ3: In what ways does the central firm act to induce sustainable procedures in its supply chain (SC)? A multiple case study was conducted with two Brazilian cosmetic firms, AymaraUna and Bio Extratus. The results indicate: (1) internal guidelines as major drivers in GSCM adoption; (2) positive relation between the adoption of green practices and performance (both environmental and economic), only in the case of Bio Extratus; and (3) it was not possible to determine the extension of influence the focal firms might have in GSCM adoption by its suppliers. To our knowledge, this is the first multiple case study relating GSCM from Brazilian cosmetic firms.