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- Anthropometrics and Ergonomics in Pregnant WomenPublication . Almeida, Henrique de Amorim; Teixeira Ascenso, Rita Margarida; Oliveira, EunicePregnancy is a women life event that impacts her own and offspring’s life; surprisingly, few systematic and scientific maternal information is available in the literature for anthropometric and ergonomic purposes. Regarding ergonomics, some authors state that guidelines should be design for pregnant women. These guidelines may consider anthropometric issues such as changes in weight and distribution of mass, which influence mobility, home and labour performance, mood and cognition. Anthropometrics allows the body measurement, but in pregnancy women are sparingly characterized, besides Body Mass Index and few other parameters. Ergonomics not only aids in the design process of work or home layouts, but also contains several evaluation tools to determine the level of risk of musculoskeletal disorders of daily or labour tasks. Some of these tools are very specific and others have certain conditions that should be met before using them. The purpose of this study is to present an overview of guidelines and discuss which anthropometric and ergonomic evaluation tools may be used, and under which conditions can be implemented in pregnant women.
- AR Mobile Application to Enhance the Birdwatching ExperiencePublication . Venâncio, José; Marto, Anabela; Ascenso, Rita Margarida Teixeira; Rodrigues, Nuno; Gonçalves, Alexandrino José MarquesGuard@Lis application was developed to ease the birdwatching activity. The main purpose was to support the discovery and identification of bird species along a trail, encouraging the preservation and protection of nature. To create a new bird observation perspective since augmented reality features were developed to enhance the experience of birdwatching, ensuring the chance to watch even the most elusive birds. Adding animated 3D models of some birds allows the observation of these species that, for several reasons, may not be easy to encounter in their natural habitat when the user is making the trail. The solution is composed of a multiplatform app and a back-office. It is prepared to create routes with hotspots and improve the bird species list. This first version was designed with a route in the city of Leiria, having specific points along the way, defined for the observation of certain species. Guard@Lis application intends to encourage the didactic and educational facets, so the whole development process of this application was to create a guide that allows users to be able to identify and list the number of bird species found. At this stage, the app allows its users to trail the main historical and tourist points of Leiria and collect the bird species observed.
- Billing in the Mobile Era : Octa Code’s Study CasePublication . Andrade, Eduardo; Bernardino, Anabela; Bernardino, EugeniaNa era digital, cada vez mais os serviços existentes se adaptam às novas tecnologias e aos seus benefícios. Com o surgimento de nova legislação, irá passar a ser obrigatório a utilização de plataformas digitas para todos os documentos de faturação. Com esta alteração, surge a necessidade de aplicações móveis que possam ser utilizadas em qualquer lado para substituir a tradicional fatura manual ainda utilizada em muitos negócios de cariz ambulante, onde o manuseamento de computadores ou portáteis não é fácil. Mas este novo mercado cria também novos desafios e problemas que serão explorados no caso de estudo em questão. Octa Gest Faturas, da Octa Code, é uma nova aplicação que pretende destacar-se ao oferecer uma experiência de fácil utilização, enquanto ao mesmo tempo aplica as práticas recomendadas no desenvolvimento de aplicações móveis.
- Building and Using an Ontology of Preference-Based Multiobjective Evolutionary AlgorithmsPublication . Li, Longmei; Yevseyeva, Iryna; Basto-Fernandes, Vitor; Trautmann, Heike; Jing, Ning; Emmerich, MichaelIntegrating user preferences in Evolutionary Multiobjective Optimization (EMO) is currently a prevalent research topic. There is a large variety of preference handling methods (originated from Multicriteria decision making, MCDM) and EMO methods, which have been combined in various ways. This paper proposes a Web Ontology Language (OWL) ontology to model and systematize the knowledge of preferencebased multiobjective evolutionary algorithms (PMOEAs). Detailed procedure is given on how to build and use the ontology with the help of Prot´eg´e. Different use-cases, including training new learners, querying and reasoning are exemplified and show remarkable benefit for both EMO and MCDM communities.
- CROSS-PLATFORM DEVELOPMENT FOR E-COMMERCEPublication . Vieira, Leandro; Bernardino, Anabela; Bernardino, EugéniaElectronic commerce is generally seen as a competitor for physical stores, however, this paper proposes a solution where they work side-by-side to improve the in-store customer experience. An application directed for store retailers was created with the cross-platform framework React Native, making it available for Android, iOS, and the web. Using thebe of their interest, and place orders, providing the customer with a unique and faster shopping experience.
- 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.
- 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.
- 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.
- A Hybrid AIS-SVM Ensemble Approach for Text ClassificationPublication . Antunes, Mário; Silva, Catarina; Ribeiro, Bernardete; Correia, ManuelIn this paper we propose and analyse methods for expanding state-of-the-art performance on text classification. We put forward an ensemble-based structure that includes Support Vector Machines (SVM) and Artificial Immune Systems (AIS). The underpinning idea is that SVM-like approaches can be enhanced with AIS approaches which can capture dynamics in models. While having radically different genesis, and probably because of that, SVM and AIS can cooperate in a committee setting, using a heterogeneous ensemble to improve overall performance, including a confidence on each system classification as the differentiating factor. Results on the well-known Reuters-21578 benchmark are presented, showing promising classification performance gains, resulting in a classification that improves upon all baseline contributors of the ensemble committee.
- Layer Thickness Evaluation Between Medical Imaging and Additive ManufacturingPublication . Almeida, Henrique A.; Vasco, Joel; Correia, Mário Simões; Ruben, Rui; Ruben, RuiAdditive manufacturing (AM) applied to the orthopaedic and surgical domains provided access to newer solutions for customised implants, customised scaffolds or even organ printing. These solutions are based on imagological data, gathered from CT-scans and/or MRI-scans. The compromise between patient’s radiation exposition and resolution along the focus direction plays an important role for the successful production of biological products. Scan detail can be increased with a thinner scanning thickness to obtain the required biological features for replication. On the other hand, a thinner scan thickness requires more scanning slices and therefore, higher exposition time to radiation. Literature shows that a maximum amount of radiation is admissible for humans, requiring an optimized approach concerning the acquisition of internal details of the human body tissues. State-of-the-art scans offer focus resolution in the range of 100 to 200 µm, although such resolution is not used for the patient’s protection. In fact, in clinical practice distance between slices are in the range of 1 to 6 mm. Concerning the AM processes that are able to use biocompatible materials, different layer thicknesses are available upon the final application in spite of the digital layer thickness that was applied during the medical imaging exam. The layer thickness during production also details the mechanical properties of the implant, with an additional aspect that the geometric data is based on information of a different layer thickness. This study intends to discuss the layer thickness used in medical imaging, the layer thickness used in AM systems providing public awareness of the operating gap between medical imaging systems and AM systems. A brief description of the accumulated errors is also presented.