2018
Authors
Almeida, J; Martins, A; Almeida, C; Dias, A; Matias, B; Ferreira, A; Jorge, P; Martins, R; Bleier, M; Nuchter, A; Pidgeon, J; Kapusniak, S; Silva, E;
Publication
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
Abstract
This paper presents the positioning, navigation and awareness (PNA) system developed for the Underwater Robotic Mining System of the VAMOS! project [1]. It describes the main components of the VAMOS! system, the PNA sensors in each of those components, the global architecture of the PNA system, and its main subsystems: Position and Navigation, Real-time Mine Modeling, 3D Virtual reality HMI and Real-time grade system. General results and lessons learn during the first mining field trial in Lee Moor, Devon, UK during the months of September and October 2017 are presented.
2018
Authors
Faia, R; Lezama, F; Soares, J; Vale, Z; Pinto, T; Corchado, JM;
Publication
2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
Abstract
Smart Grid technologies enable the intelligent integration and management of distributed energy resources. Also, the advanced communication and control capabilities in smart grids facilitate the active participation of aggregators at different levels in the available electricity markets. The portfolio optimization problem consists in finding the optimal bid allocation in the different available markets. In this scenario, the aggregator should be able to provide a solution within a timeframe. Therefore, the application of metaheuristic approaches is justified, since they have proven to be an effective tool to provide near-optimal solutions in acceptable execution times. Among the vast variety of metaheuristics available in the literature, Differential Evolution (DE) is arguably one of the most popular and successful evolutionary algorithms due to its simplicity and effectiveness. In this paper, the use of DE is analyzed for solving the portfolio optimization problem in electricity markets. Moreover, the performance of DE is compared with another powerful metaheuristic, the Particle Swarm Optimization (PSO), showing that despite both algorithms provide good results for the problem, DE overcomes PSO in terms of quality of the solutions.
2018
Authors
Enrique D.V.; Ayala N.F.; Lima M.J.d.R.F.; Marodin G.A.; Gzara L.; Frank A.G.;
Publication
Production
Abstract
Paper aims: This paper aims to understand the relationship between Information & Communication Technology (ICT), collaborative New Product Development (NPD) and customer satisfaction (NPD performance). Originality: We target the relationship between ICT, collaborative NPD and NPD performance. ICT is assessed as a set of specific tools adopted by the companies. Research method: We test the mediating role of collaborative practices in the effect of ICT tools on customer satisfaction (as NPD performance) by means of a survey of 105 Brazilian firms. Main findings: Collaboration with customers and suppliers has an important role for customer satisfaction and the use of ICT has significant effect on NPD performance through the mediating role of collaborative practices. Implications for theory and practice: Implementing only ICT tools is not enough to achieve higher level of success in NPD. Managers should first strength the relationship between stakeholders and then adopt ICT tools to support the cooperation.
2018
Authors
Moniz, N; Torgo, L;
Publication
Proceedings of the 29th on Hypertext and Social Media, HT 2018, Baltimore, MD, USA, July 09-12, 2018
Abstract
The ability to generate and share content on social media platforms has changed the Internet. With the growing rate of content generation, efforts have been directed at making sense of such data. One of the most researched problem concerns predicting web content popularity. We argue that the evolution of state-of-the-art approaches has been optimized towards improving the predictability of average behaviour of data: items with low levels of popularity. We demonstrate this effect using a utility-based framework for evaluating numerical web content popularity prediction tasks, focusing on highly popular items. Additionally, it is demonstrated that gains in predictive and ranking ability of such type of cases can be obtained via naïve approaches, based on strategies to tackle imbalanced domains learning tasks. © 2018 Association for Computing Machinery.
2018
Authors
Santos, L; Ferraz, N; Neves Dos Santos, F; Mendes, J; Morais, R; Costa, P; Reis, R;
Publication
18th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2018
Abstract
The intensive use of agricultural machinery is promoting the soil compaction. The use of agricultural robots or autonomous machinery can intensify this problem, due its capacity to replicate the same trajectories. One of the possible strategies to minimize the effects of soil compaction is to control agricultural traffic instead of common random traffic. Since geo-referencing systems are present in almost all field operations it is possible to optimize trajectories to avoid to damage the crop and intensify the soil compaction. The controlled agricultural traffic on farms will not only increase production capacity, the incomes as well as the quality of the soil. In this work a novel approach based on A-star algorithm is proposed to reduce soil compaction in steep slope vineyards. © 2018 IEEE.
2018
Authors
de Matos, AN; Sousa, CN; Almeida, P; Teles, P; Rego, D; Teixeira, G; Loureiro, L; Teixeira, S;
Publication
HEMODIALYSIS INTERNATIONAL
Abstract
Dysfunction of arteriovenous access for hemodialysis is a challenge for the vascular surgeon. Some patients have complex vascular access with problems that are difficult to solve. Careful analysis of the vascular network with ultrasound and dissection of the veins during surgery can help to identify the best option for each access. We introduce and discuss the case of creation of a radio-cephalic fistula with outflow into the brachial vein in 64-year-old hemodialysis male patient. This technique enables extending fistula patency, arterializing the brachial vein, and improves cost efficiency.
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