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- IoT in Greenhouse Supported by Climate Conditions Management PlatformPublication . Galvão, João; Neves, Filipe; Vieira, João; Rafael Simões; Ribeiro, Vânia; Costa, PauloThe system called iMeteo4all is a management platform for several physical variables, inherent to the control and management of climatic conditions inside structures, for the intensive production of plants called greenhouses and to be one contribution for agriculture 4.0. The objective of this work was to design and develop software for monitoring and managing the quality of the internal environment, through successive data collection/readings provided by a network of sensors and process automation for more efficient and sustainable agriculture. Different case studies of greenhouses whose production technologies are distinct, such as aquaponics and soil technologies were considered, in these controlled environment structures to produce plants (edible and non-edible). This platform requires an Internet address to perform the interface among a tablet, a cell phone, a computer and communication systems between a net of IoT (Internet of Things) sensors, which collect climatic variables inherent to growth and connected to several MCUs (Micro Controller Unit). Subsequently, managers and employees will be able to view and interact in real time, making more accurate decisions, depending on the climatic variations inside the greenhouse, increasing efficiency in several areas in greenhouses. It is possible to access the history of each sensor and configure automations according to the collected data. Access to data from this solution is secure through an SSL (Secure Sockets Layer) certificate applied to the public https address. If hardware failures exist, the system is prepared to be restored through regular backups in the cloud and internally, providing users with confidence and robustness in the constant use of this platform.
- DinofelisAR: Users’ Perspective About a Mobile AR Application in Cultural HeritagePublication . Marto, Anabela; Gonçalves, Alexandrino; Sousa, A. Augusto deAugmented reality has seen an increased popularity among the last decades due to technological advances and, a consequent growth of the amount of augmented reality systems, became available. However, in order to diffuse this technology successfully, understand users’ feelings when using augmented reality applications is considered a major issue. This study implemented this technology in a cultural heritage outdoor context and tested it in-situ to evaluate user’s perspective regarding to personal satisfaction – including cultural enrichment acquired –, ease of use and their intention to use it. The results obtained, through questionnaires, presented the visitors acceptance regarding the usage of this type of solutions among a cultural heritage context, since it may become future visits more pleasant and desirable. The user’s majority expressed the request to use this technology more often in cultural heritage spaces.
- Exploring Cultural Heritage Using Augmented Reality Through Google’s Project Tango and ARCorePublication . Voinea, Gheorghe-Daniel; Girbacia, Florin; Postelnicu, Cristian Cezar; Marto, AnabelaThis research is focused on the importance of using modern technologies in preserving and exploring Cultural Heritage (CH). Specifically, Augmented Reality (AR) has the potential to enhance the user experience related to cultural heritage. We briefly present the main technological approaches in CH and a state of the art in mobile augmented reality. The latest Software Development Kit (SDK) for building AR applications are reviewed and compared. The 3D object that participants could place in the real environment was obtained using photogrammetry, a popular and relatively easy to use digitization technique. The virtual object represents a fortified church and is part of a group of UNESCO monuments from the historical and ethnographical region called “Țara Bârsei”, located in Brasov, Romania. We also provided some guidelines to ensure an accurate 3D reconstruction of any object. We assess users’ perception regarding two mobile AR applications, one based on Project Tango while the other was developed using ARCore. Results confirm that AR improves user experience and increases the enjoyment of learning about cultural heritage.
- Pareto Scale MixturesPublication . Felgueiras, Miguel MartinsPareto scale mixtures are very effective for modelling heavy-tailed data. A new class of models is described, generalizing commonly used slash distributions. Mixture properties and possible applications are discussed.
- Multicriteria Models for Learning Ordinal Data: A Literature ReviewPublication . Sousa, Ricardo; Yevseyeva, Iryna; Pinto da Costa, Joaquim F.; Cardoso, Jaime S.Operations Research (OR) and Artificial Intelligence (AI) disciplines have been playing major roles on the design of new intelligent systems. Recently, different contributions from both fields have been made on the models design for problems with multi-criteria. The credit scoring problem is an example of that. In this problem, one evaluates how unlikely a client will default with his payments. Client profiles are evaluated, being their results expressed in terms of an ordinal score scale (Excelent Good Fair Poor). Intelligent systems have then to take in consideration different criteria such as payment history, mortgages, wages among others in order to commit their outcome. To achieve this goal, researchers have been delving models capable to render these multiple criteria encompassed on ordinal data. The literature presents a myriad of different methods either on OR or AI fields for the multi-criteria models. However, a description of ordinal data methods on these two major disciplines and their relations has not been thoroughly conducted yet. It is key for further research to identify the developments made and the present state of the existing methods. It is also important to ascertain current achievements and what the requirements are to attain intelligent systems capable to capture relationships from data. In this chapter one will describe techniques presented for over more than five decades on OR and AI disciplines applied to multi-criteria ordinal problems.
- 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.
- UAV Flight Simulator to Improve Elders’ Quality of LifePublication . Crespo, Christian Bustamante; Idrovo, Graciela Guerrero; Rodrigues, Nuno; Pereira, AntónioThe quality of life in older people deteriorates faster, depending if these have a sedentary lifestyle. Technology is used as a tool in various fields and there are some applications that have been developed to encourage sports through entertainment, this is the case of the Nintendo Wii. The positive impact of this kind of application has been the base in the development of this research. Our proposal focuses on the easy handling of a drone by sensing arm movements through wearable devices, and providing an immersive experience of being in a different place using virtual reality glasses. The aim is to promote the user's cognitive development, due to the hand-eye coordination required to control the drone. Finally, this research, manages to integrate virtual reality with Bluetooth technologies, establishing real-time communication with wearable devices and human movement.
- 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.
- 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.
- 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.
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