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Publications

2021

Analysis Model to Identify the Regional "Strategic Bets" of Startup Porto's Network

Authors
Roth, C; Pereira, C; Pedrosa, R; Roth, M;

Publication
SMART AND SUSTAINABLE COLLABORATIVE NETWORKS 4.0 (PRO-VE 2021)

Abstract
The economic development process associated with entrepreneurial ecosystems comprises different approaches and its understanding is vital for regional growth. The Polytechnic Institute of Porto is boosting its entrepreneurial ecosystem, to reinforce its action as an agent of economic and social development in the regions where it operates. The objective of the work was to propose the criteria for the construction of an analysis model that allows the identification of regional "strategic bets" that will support the development of proposals for the provision of support services that integrate with the regional business base and incorporate "Decision Intelligence" to performance of the "Entrepreneurial Regional Observatory of the Porto Startup Network." The methodology used was an exploratory research and, at the end, the initiatives taken and the results are presented.

2021

Toxicity-Associated News Classification: The Impact of Metadata and Content Features

Authors
Fortuna, P; Cruz, LB; Maia, R; Cortez, V; Nunes, S;

Publication
ICWSM Workshops

Abstract

2021

VR Neuro Game: a Virtual Reality Game to Support Neuroanatomy Teaching and Learning

Authors
Souza, V; Maciel, A; Nedel, L; Kopper, R; Loges, K; Schlemmer, E;

Publication
Journal on Interactive Systems

Abstract
Using virtual environments (VEs) is a safer and cost-effective alternative to training people in different contexts. Immersive Virtual Reality (VR), combined with game aspects, have the potential to improve the user experience in the VE by increasing realism, engagement, and motivation. In education, there is a consensus about its contribution in the teaching and learning processes. However, in Brazil, only a few research groups have developed projects that involve the development of VR for education, due to technical difficulties and high costs. This manuscript presents the development and evaluation of an VR serious game to support the learning of neuroanatomy, an extended version of our previously published paper at the SVR 2020. In this version, we present the results of four different user studies, involving 57 participants, which suggest that the VR Neuro Game is easy to use, even by inexperienced subjects in VR, and is potentially useful for teaching and learning processes, both by individual students and groups of students and also in remote learning. In addition, the game was considered fun and did not cause discomfort. When comparing the knowledge test performance before and immediately after the experiments, we found significant difference only for the virtual condition. The same could be observed for retention results.

2021

First error budget of a deployable CubeSat telescope

Authors
Sauvage, JF; Schwartz, N; Vievard, S; Bonnefois, A; Velluet, MT; Correia, C; Cassaing, F; Fusco, T; Michau, V; Krapez, JC; Ferrari, M; Laginja, I;

Publication
SPACE TELESCOPES AND INSTRUMENTATION 2020: OPTICAL, INFRARED, AND MILLIMETER WAVE

Abstract
The volume available on-board small satellites limit the optical aperture to a few centimetres, which limits the Ground-Sampling Distance (GSD) in the visible to approximately 3 m at 500 km. We present a performance analysis of the concept of a deployable CubeSat telescope. This payload will allow a tripling of the ground resolution achievable from a CubeSat imager, hence allowing very high resolution imaging from Low Earth Orbit (LEO). The project combines precision opto-mechanical deployment and cophasing of the mirrors segments using active optics. The payload has the potential of becoming a new off-the-shelf standardised system to be proposed for all high angular resolution imaging missions using CubeSats or similar nanosats. Ultimately, this technology will develop new instrumentation and technology for small satellite platforms with a primary mirror size equal or larger than 30 cm. In this paper, we present the breakdown of the different error sources that may affect the final optical quality and propose cophasing strategies. We show that the piston, tip and tilt aberrations may need to be as small as 15 nm RMS to allow for diffraction-limited imaging. By taking a co-conception approach, i.e. by taking into account the post-processing capability such as deconvolution, we believe these constraints may be somewhat released. Finally, we show numerical simulation of different solutions allowing the aberrations of the primary mirror segments.

2021

Bi-level optimization model for the coordination between transmission and distribution systems interacting with local energy markets

Authors
Sheikhahmadi, P; Bahramara, S; Mazza, A; Chicco, G; Catalao, JPS;

Publication
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Abstract
The coordination between distribution system and transmission system operation in the presence of distributed energy resources (DERs) is a new framework that needs appropriate modeling. Moreover, local energy market models are emerging, and there is the need to describe the decision-making occurring in active distribution systems including the distribution company (Disco) and the DER aggregators. This paper investigates the coordination between transmission, distribution, and DER aggregators that interact in a local market model. The individual objectives of the decision-makers are conflicting with each other. For this purpose, a bi-level optimization approach is proposed, in which the operation problem of the Disco and the day-ahead market clearing managed by the wholesale market operator are considered as the upper- and lower-levels problems, respectively. Moreover, to model the uncertainties of output power of renewable energy sources in the Disco's problem, the information gap decision theory is used. The resulting model is a non-linear bi-level problem, which is transformed into a linear single-level one through the exploitation of the Karush-Kuhn-Tucker conditions and the duality theory. To investigate the effectiveness of the model, two case studies are defined in which the IEEE 33-bus and a real 43-bus distribution systems are connected to the RTS 24-bus power system.

2021

Challenges in Managing Large-Scale Collaborative R&D Projects

Authors
Simões, AC; Rodrigues, JC; Soares, AL;

Publication
Contributions to Management Science

Abstract
Project management is a critical success factor for any kind of project. When projects involve complex multi-organisational structures, requiring demanding collaborative processes, project management is a complex system in itself. Although this topic has been studied for decades, the ever-changing morphology of projects induced by the increasingly intricate financing schemes, call for a frequent and updated understanding of how the projects initiate, run, and close. Large-scale integrated collaborative projects are a recent example of complex collaborative projects that were not studied yet but can provide important insights for the project and innovation management fields. These projects are carried out typically by a large consortium including research organisations, sectorial technological centres, technology providers and end-user companies, having a significant impact on the technological innovation produced for a specific sector. This chapter reports a multiple case study of four large-scale integrated projects, in Portugal, following an inductive research design. The results showed that collaboration creation and collaboration management are crucial processes for such projects, with challenges intensified by the differences in goals and expectations of researchers and practitioners. The chapter will hopefully contribute to the future development of new models, tools and techniques that will improve the efficiency and effectiveness of this type of projects, by providing a systematisation of the challenges faced and how they were overcome during the cases analysed. © 2021, Springer Nature Switzerland AG.

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