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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.
- Real Time Underwater Radio Communications in Swimming Training Using Antenna DiversityPublication . Santos, Miguel O.; Faria, Sergio M. M.; Fernandes, Telmo R.In some sports, where the athlete is training alone or far from its coach, it is often difficult to gather real-time data about the athlete's performance. Additionally, coaches also find difficult to communicate with their athletes in order to improve their training effectively. Amongst those critical sport activities, swimming is one of the most challenging, not only due to the distance between athletes and coaches, but also due to the harsh environment where the swimmers are immersed. It is known that real-time data about the swimmers training sessions, in term of biological signs and physical performance, is a valuable asset to help guiding successful training practice. Although several devices and techniques are available to monitor such data, normally the acquired data is stored in a portable device for later analysis, due to the transmission issues related to the harsh environment of the pool. Such transmission issues are often related with the location of the antenna, which is surrounded by water. In this paper, we propose a radiowave communication system, which makes use of LoRa to overcome the huge attenuation caused by the pool water. The proposed communication method, also mitigates the signal loss induced by the swimmer turns and some swimming styles. The radio communication that employs a signal frequency of 433 MHz, has been successfully tested for all swimming styles at various deepness levels in the underwater phase, with very good results in terms of received signal level and capability to maintain the radio link in multiple different conditions.
- Experimental Setup for Radio Characterization of Fire at Microwave FrequenciesPublication . Coimbra, Pedro; Faria, Stefânia; Vala, Mário; Felício, João; Fernandes, Carlos; Leonor, Nuno; Caldeirinha, Rafael; Salema, CarlosWildfires are a recurring phenomenon in many countries around the world, either due to natural causes or negligent human behavior. Emergency communication services used by firefighters at the theater of operations must be highly reliable, in order to ensure the safety and coordination of the teams that are fighting the wildfire, contributing to extinguishing it as quickly as possible with minimum use of resources. Emergency communication networks strongly rely on wireless links that may be impaired by the flames. In this work, we present an experimental setup for characterization of fire at microwave frequencies. Preliminary results show that we are able to extract very low dielectric constant (<1.1) using ultrawideband signals. Moreover, we characterize the attenuation introduced by fire in small-scale scenario. Future work will include the characterization of fire in larger-scale scenarios.
- Reconfigurable millimetre-wave RF front-end for radar and 5G applicationsPublication . Duarte, Luís; Reis, João R.; Leonor, Nuno; Ribeiro, Carlos; Alves, Luís N.; Caldeirinha, Rafael F. S.This paper proposes a reconfigurable RF architecture to cope with radar applications in autonomous driving vehicles and the next generation of communications (5G). A radio front-end architecture operating at frequencies between 24 and 27.5 GHz to deliver a small form-factor design that could easily be changed and ease future improvements, has been developed. Based on X-microwave ecosystem, a fully reconfigurable mmWave RF front-end has been designed and experimentally characterised. Due to the high modularity of the proposed front-end architecture, each mmWave RF component is tested and characterised in the frequency range of 24-27 GHz, allowing the final prototype to be used in future radar and communication systems. Results for the proposed architecture are presented at the component level, and, then with transmitter and receiver in back-to-back configuration. End-to-end testing and performance analysis clearly show the X-Microwave based solutions performance and the proper operation of the designed front-end in the up-/down-conversion of the baseband signal.