Unidade de Investigação - CIIC - Computer Science and Communication Research Centre
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- Humanportal – A React.js case studyPublication . de Sousa, Mayelson; Gonçalves, Alexandrino José MarquesA constante evolução das tecnologias web tem originado o aparecimento de diversas frameworks e bibliotecas com o objetivo de melhorar o trabalho de quem desenvolve e a experiência de quem utiliza. No sentido de maximizar a satisfação do cliente e disporem de soluções de acordo com os padrões de atuais do mercado, as empresas devem adaptar os seus produtos, com particular enfoque nas soluções web-based, com vista a potenciar a usabilidade e a fluidez do seu uso. Neste sentido, este artigo apresenta um caso de estudo real, onde a empresa humansoft, adaptou uma das suas principais soluções, humanportal, a uma das mais recentes e mais utilizadas tecnologias web, o React.js. O React.js é uma ferramenta especialmente vocacionada para lidar com a camada de visualização de aplicações web e a sua aplicação no contexto empresarial, nomeadamente na área de gestão de recursos humanos, que é precisamente a área onde se enquadra o humanportal. Com este processo, o grau de satisfação dos clientes foi notório, tendo os mesmos destacado a maior flexibilidade e facilidade de utilização do produto, permitindo, desse modo, uma otimização e adequação dos processos de gestão.
- Towards Industry 4.0 | A case study of BIM Deployment in Ornamental Stones SectorPublication . Silva, Agostinho; Rabadão, Carlos; Capela, CarlosThe transition witnessed from the Third to the Fourth Industrial Age leads to the emergence of paradigms such as BIM, seeking efficiency in Architecture, Engineering and Construction (AEC) through a global approach and procurement oriented towards standardized products and I4.0, where production comes to be supported by Cyber-Physical Systems (CPS). Integrated in the AEC supply chain, the ornamental stone sector shows Portugal to be the eighth country in OS trade worldwide, and the second per capita, with its competitiveness coming from customization BIM represents threats for its business sustainability. Supported by the Service Science, the main objective of this research is to conceptualize an empirical framework, which, when applied to a sample of Ornamental Stone companies, allows a conclusive answer how to keep their competitive advantage of products customization in BIM-standardized procurement environment. By monitoring the entire sequence of events, it was found that the Ornamental Stone companies can retain their main current competitive advantage of customizing their products, which leads us to conclude that Industry 4.0 technologies, appears to respond positively to threat raised from BIM procurement.
- Industrial processes optimization in digital marketplace context: A case study in ornamental stone sectorPublication . Silva, Agostinho; Gil, Maria ManuelWe are witnessing a transition to a digital economy, popularized by academics and practitioners as the Fourth Industrial Era, also designated as Industry 4.0 (I4.0). Among all the available digital technologies and aiming to optimize the Architecture Engineering and Construction (AEC) supply chain, the Building Information Modelling (BIM) is becoming officially mandatory worldwide. Oriented to a zero-waste, zero-ecological footprint and reduced time to execute the constructions, from the BIM, emerges a new procurement model which will affect many sectors integrating this supply chain, especially those more traditional and fragmented ones, such as the Ornamental Stone sector (OS). Addressing this problem through the Service Science perspective, the objective of this research was to conceptualize an Empirical Framework (EF), to evaluate the impact of the Industry4.0 operations on the Time-to-Deliver the products in a digital marketplace context. By applying this EF to a case study related to the Ornamental Stone in Portugal, it was found a positive impact of Industry 4.0 operations on the delivery time in the digital marketplace context.
- Deep learning with realtime inference for human detection in search and rescuePublication . Llasag Rosero, Raúl; Grilo, Carlos; Silva, CatarinaHuman casualties in natural disasters have motivated tech- nological innovations in Search and Rescue (SAR) activities. Di cult ac- cess to places where res, tsunamis, earthquakes, or volcanoes eruptions occur has been delaying rescue activities. Thus, technological advances have gradually been nding their purpose in aiding to identify and nd the best locations to put available resources and e orts to improve rescue processes. In this scenario, the use of Unmanned Aerial Vehicles (UAV) and Computer Vision (CV) techniques can be extremely valuable for accelerating SAR activities. However, the computing capabilities of this type of aerial vehicles are scarce and time to make decisions is also rele- vant when determining the next steps. In this work, we compare di erent Deep Learning (DL) imaging detectors for human detection in SAR im- ages. A setup with drone-mounted cameras and mobile devices for drone control and image processing is put in place in Ecuador, where volcanic activity is frequent. The main focus is on the inference time in DL learn- ing approaches, given the dynamic environment where decisions must be fast. Results show that a slim version of the model YOLOv3, while using less computing resources and fewer parameters than the original model, still achieves comparable detection performance and is therefore more appropriate for SAR approaches with limited computing resources.
- Cybersecurity and Digital Forensics – Course Development in a Higher Education InstitutionPublication . Antunes, Mário; Rabadão, CarlosIndividuals and companies have a feeling of insecurity in the Internet, as every day a reasonable amount of attacks take place against users’ privacy and confidentiality. The use of digital equipment in illicit and unlawful activities has increasing. Attorneys, criminal polices, layers and courts staff have to deal with crimes committed with digital “weapons”, whose evidences have to be examined and reported by applying digital forensics methods. Digital forensics is a recent and fast-growing area of study which needs more graduated professionals. This fact has leveraged higher education institutions to develop courses and curricula to accommodate digital forensics topics and skills in their curricular offers. This paper aims to present the development of a cybersecurity and digital forensics master course in Polytechnic of Leiria, a public higher education institution in Portugal. The authors depict the roadmap and the general milestones that lead to the development of the course. The strengths and opportunities are identified and the major students’ outcomes are pointed out. The way taken and the decisions made are also approached, with a view to understanding the performance obtained so far.
- Biofabrication and the Medical Field: Which is the scenario for 2030?Publication . Serrano, Emanuel S.; Vitorino, Liliana Coutinho; Almeida, Henrique de Amorim
- Identification of Fake Profiles in Twitter Social NetworkPublication . Antunes, Mário; Baptista, Hugo; Rodrigues, BaltazarOnline social networks are being intensively used by millions of users, Twitter being one of the most popular, as a powerful source of information with impact on opinion and decision making. However, in Twitter as in other online social networks, not all the users are legitimate, and it is not easy to detect those accounts that correspond to fake profiles. In this work in progress paper, we propose a method to help practitioners to identify fake Twitter accounts, by calculating the “fake probability” based on a weighted parameter set collected from public Twitter accounts. The preliminary results obtained with a subset of an existing annotated dataset of Twitter accounts are promising and give confidence on using this method as a decision support system, to help practitioners to identify fake profiles.
- Multisensory Augmented Reality in Cultural Heritage: Impact of Different Stimuli on Presence, Enjoyment, Knowledge and Value of the ExperiencePublication . Marto, Anabela; Melo, Miguel; Gonçalves, Alexandrino; Bessa, MaximinoLittle is known about the impact of the addition of each stimulus in multisensory augmented reality experiences in cultural heritage contexts. This paper investigates the impact of different sensory conditions on a user’s sense of presence, enjoyment, knowledge about the cultural site, and value of the experience. Five different multisensory conditions, namely, Visual, Visual + Audio, Visual + Smell, and Visual + Audio + Smell conditions, and regular visit referred to as None condition, were evaluated by a total of 60 random visitors distributed across the specified conditions. According to the results, the addition of particular types of stimuli created a different impact on the sense of presence subscale scores, namely, on spatial presence, involvement, and experienced realism, but did not influence the overall presence score. Overall, the results revealed that the addition of stimuli improved enjoyment and knowledge scores and did not affect the value of the experience scores. We concluded that each stimulus has a differential impact on the studied variables, demonstrating that its usage should depend on the goal of the experience: smell should be used to privilege realism and spatial presence, while audio should be adopted when the goal is to elicit involvement.
- UAV Landing Using Computer Vision Techniques for Human DetectionPublication . Safadinho, David; Ramos, João; Ribeiro, Roberto; Filipe, Vítor; Barroso, João; Pereira, AntónioThe capability of drones to perform autonomous missions has led retail companies to use them for deliveries, saving time and human resources. In these services, the delivery depends on the Global Positioning System (GPS) to define an approximate landing point. However, the landscape can interfere with the satellite signal (e.g., tall buildings), reducing the accuracy of this approach. Changes in the environment can also invalidate the security of a previously defined landing site (e.g., irregular terrain, swimming pool). Therefore, the main goal of this work is to improve the process of goods delivery using drones, focusing on the detection of the potential receiver. We developed a solution that has been improved along its iterative assessment composed of five test scenarios. The built prototype complements the GPS through Computer Vision (CV) algorithms, based on Convolutional Neural Networks (CNN), running in a Raspberry Pi 3 with a Pi NoIR Camera (i.e., No InfraRed-without infrared filter). The experiments were performed with the models Single Shot Detector (SSD) MobileNet-V2, and SSDLite-MobileNet-V2. The best results were obtained in the afternoon, with the SSDLite architecture, for distances and heights between 2.5-10 m, with recalls from 59%-76%. The results confirm that a low computing power and cost-effective system can perform aerial human detection, estimating the landing position without an additional visual marker.
- Localização de peças, produtos e materiaisPublication . Gomes, Hugo; Pereira, João da Silva; Mendes, Sílvio; Monteiro, Rui Vasco; Neves, Carlos; Rosa, Hugo; Baptista, António