04 Convegni (Proceedings)

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Data-Driven Predictive Maintenance in Evolving Environments: A Comparison Between Machine Learning and Deep Learning for Novelty Detection

Predictive Maintenance (PdM) is the newest strategy for maintenance management in industrial contexts. It aims to predict the occurrence of a failure to minimize unexpected downtimes of equipment and maximize the useful life of the monitored components. In a data-driven approach, PdM makes use of Machine Learning (ML) algorithms to extract relevant features from historical signals, identify and classify possible faults (diagnostics), and predict the components’ remaining useful life (RUL) (pr...

Thermal Comfort in Urban Areas: Comparing Numerical Results with Citizens’ Perspectives. A Case Study in Trento, Italy

Thermal comfort is increasingly becoming an urgent concern due to the rising temperatures in urban areas affecting liveability and health. This study aims to investigate microclimate conditions and outdoor thermal comfort in the historical center of Trento, Italy. A mixed-method approach was adopted for this purpose based on microclimate monitoring, simulations and surveys with citizens. Quantitative and qualitative findings are made spatially explicit and compared in the study area. The form...

Optimal Crop Rotations Subject to Weed Dynamics: Exponential Stability and Nonlinear Programming

Agricultural production of annual crops is often hampered by annual weeds, which compete with planted crops and persist through the collection of dormant seeds in the soil called the weed seed bank. Conventional weed management relies heavily on chemical herbicides, which are not sustainable. A complementary method that reduces the need for herbicides is ‘cultural control’, in which the crop rotation is designed in part to manage the weed population. We propose a methodology that optimizes th...

Efficient Artifact Removal from Low-Density Wearable EEG using Artifacts Subspace Reconstruction

Lightweight , minimally-obtrusive mobile EEG systems with a small number of electrodes (i.e., low-density) allow for convenient monitoring of the brain activity in out-of-the-lab conditions. However, they pose a higher risk for signal contamination with non-stereotypical artifacts due to hardware limitations and the challenging environment where signals are collected. A promising solution is Artifacts Subspace Reconstruction (ASR), a component-based approach that can automatically remove non-...

Assessing Residents’ Perception of Noise and Dust Production during Building Facades’ Retrofit Using Traditional and Prefabricated Technologies

Offsite prefabrication for building retrofits can offer advantages in terms of construction time reduction. This study examines noise and dust production during the energy retrofit of residential building facades, comparing traditional External Thermal Insulation Composite Systems (ETICS) with the installation of prefabricated wooden facade panels, both applied to different portions of a building located in Povo (Trento, Italy). Interviews with residents, complemented by on-site acoustic moni...

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