38 documents found, page 1 of 4
Robust mortality prediction on a recirculating aquaculture system
Costa, Vasco; Rocha, Eugénio; Marques, CarlosAquaculture presents itself as one of the most rapidly developing means of sustainable production of animal protein to feed ever-growing populations. Recirculating aquaculture systems offer higher control and fewer inconveniences than traditional systems, making them an attractive option for fish production. Although the sector’s digitalization is in its early stages, its application should increase its rentabi...
Performance Evaluation and Explainability of Last-Mile Delivery
Brochado, Ângela Filipa; Rocha, Eugénio; Addo, Emmanuel; Silva, SamuelThe demand for last-mile delivery (LMD) services worldwide increased following online sales growth, so better methods to assess efficiency issues are paramount. This work explores a data-driven approach to evaluate LMD services and inform logistics service providers about possible improvement directions. It uses multi-directional efficiency analysis to benchmark LMD services based on process variables, such as ...
CaseScope: An Enhanced Search Tool for European Court Cases
Correia, Alexandre; Evangelista, Pedro; Soares, Nádia; Rocha, Eugénio; Teixeira, CláudioNatural Language Processing (NLP) is a rapidly growing field of research, enabled by advances in computer power and deep learning models. As a subfield of Artificial Intelligence, NLP can help with tasks such as Named Entity Recognition and Sentiment Analyses by extracting meaningful connections between words from a text. New architectures for neural networks like transformers have been responsible for a great ...
Variables influence analysis of gas leak testing using belief propagation over ...
Martins, Joana; Costa, Diogo; Rocha, EugénioLeak testing provides nondestructive quality measurements and is a vital stage in the manufacturing of components that require leak-tight properties. Yet, leak tests are notorious for their sensitivity towards external and environmental factors, hampering accuracy and reliability of test results, leading to a more costly and less efficient production cycle. The classical approach to this issue is through the us...
Predictive maintenance on injection molds by generalized fault trees and anomal...
Nunes, Pedro; Rocha, Eugénio; Santos, José; Antunes, RicardoPredictive maintenance (PdM) plays a key role in the Industry since it allows optimization of the schedule for proactive interventions and to take the maximum advantage of the useful lifetime of industrial assets. The reliability-centered maintenance (RCM) is based on equipment's reliability and allows the use of different maintenance strategies to optimize maintenance costs. With a recently proposed data-drive...
Convolutional neural networks for identification of moving combustion chambers ...
Pereira, Rui; Rocha, Eugénio; Pinho, Diogo; Santos, José P.Despite the effective application of deep learning to image classification tasks, these techniques are yet to be fully implemented in the industrial environment. In particular in brazing processes, where the high temperatures destroy the majority of the identification systems, product identification is required to allow automatic product traceability. This work addresses this issue in an international company f...
Avaliação de impacto territorial para operações de revitalização urbana: guia m...
Batista, Paulo; Lima, André; Colares, Daniel; Wolf, Jan-Hendrik; Borges, Monique; Silva, Nuno; Cruz, Ana; Rocha, Eugénio; Madaleno, Mara; Viegas, MiguelOs processos de monitorização e avaliação das políticas públicas têm vindo a assumir um papel cada vez mais importante na execução dos instrumentos de cofinanciamento da Política de Coesão. Mais do que um conjunto de princípios vertidos na legislação da avaliação dos fundos estruturais, reconhece-se o esforço contínuo para fortalecer estes processos, dotando a avaliação operacional e estratégica das intervençõe...
Reliability Analysis of Sensorized Stamping Presses by Generalized Fault Trees
Rocha, Eugénio; Nunes, Pedro; Santos, JoséReliability analysis and probability methods are of extreme importance for understanding the behavior of critical systems. In this scope, dynamic fault trees (DFTs) are consolidated graphical models, previously applied at known entities, such as NASA and TESLA. However, the (classical) DFTs analysis has a known issue; the fact that it assumes that the distribution of basic events (BEs) follows the exponential/W...
PDCA Protocol to ensure a Data-Driven Approach for Problem-Solving
Brochado, Ângela; Rocha, Eugénio; Pimentel, CarinaProblem-solving based, as much as possible, on real data, expert knowledge, and on-field observation are quite desired objectives. However, it creates several difficulties on deployment in real situations. In this work, a data-driven version of the well-known PDCA cycle is proposed for continuous improvement within a general class of problems represented by key performance indicators (KPI). Such class is wide e...
A data-driven model with minimal information for bottleneck detection - applica...
Brochado, A. F.; Rocha, Eugénio; Almeida, Duarte; de Sousa, Amaro; Moura, A.In the context of bottleneck detection, most data-driven approaches employ data from diverse production variables (machine processing times, machine state tags, input timestamps, etc.) for a detailed analysis of bottlenecks. However, for manufacturing companies initiating their digitalization process (i.e. requiring the smallest hardware investment), a bottom-top approach is still missing. In this work, a data-...