Search results for "Monitoring"

Re-Inhabiting Inner Areas Triggering New Regeneration Trajectories: The Case Study of Sicani in Sicily

2022

The Italian debate on the so-called ‘inner areas’ has received a much-needed boost, following the COVID-19 pandemic, which has further highlighted the differences between metropolitan and inner areas. While the progressive depopulation of inner areas is a worrying phenomenon, the limits of incessant urbanisation and the concentration of settlement and infrastructure policies in large conurbations have become evident. Departing from the framework of the B4R-Branding4Resilience research project of national interest and, by continuing in the furrow initiated by the SNAI, but also surpassing it, the aim of the University of Palermo’s research is to define the requirement for a…

Preliminary Evaluation of Plasmix Compound from Plastics Packaging Waste for Reuse in Bituminous Pavements

2021

Finding an appropriate technical solution for reusing waste plastics is crucial for creating a circular plastic economy. Although mechanical recycling is the best option for recycling post-consumer plastics, some heterogeneous mixed plastics cannot be recycled to produce secondary material due to their very low properties. In this case, alternative routes should be considered in order to limit their disposal as much as possible. Therefore, in order to solve the environmental problems in the landfills of plastic waste recycling, and to improve the mechanical performance of bitumen for road pavement, the reuse of these post-consumer plastic wastes are preliminarily evaluated for the modificat…

Predicting and monitoring individual endurance training adaptation and individualizing training prescription : with endurance performance, cardiac au…

2016

Humans adapt differently to standardized endurance training programs. While some individuals may achieve huge improvements in physical fitness, other individuals may even suffer from negative adaptations. Special attention should be paid to identification of non-responders, which would enable to modify training to be more effective. Therefore, the aim of the present study was to investigate whether running performance, cardiac autonomic regulation and neuromuscular performance can be used in 1) predicting subsequent endurance training adaptations; 2) monitoring training adaptations; and 3) individualizing training prescription in recreational endurance runners. Three longitudinal training s…

Potential effects of transgenic cotton on soil ecosystem processes in Vietnam.

2008

This chapter concentrates on the potential effects of transgenic cotton on the soil ecosystem of three major cotton growing areas in Vietnam: the coastal lowlands region, the central highlands (eastern and western Truong Son Mountain Range) and the south-eastern region. Soils in these three regions are very different, so it will be necessary to assess the effects of transgenic cotton on typical soils from all three regions. The soils in the south-eastern region are Luvisols, Andosols and Acrisols. In the central highlands, the soils are mainly Luvisols, Rhodic Ferrasols and Haplic Acrisols. The soils in the coastal lowlands region are mainly delta soils, consolidated occasionally by grey li…

Lotta alla mosca delle olive in olivicoltura integrata e biologica

2012

Bactrocera oleae, fitofago chiave dell’agroecosistema olivo, è presente in Italia in tutti gli areali interessati dalla coltura, tranne in alcune aree caratterizzate da maggiore altitudine dove il fattore termico non consente lo sviluppo della specie. Il dittero è fortemente legato alle temperature che del resto condizionano anche la fenologia dell’olivo; in effetti il numero di generazioni che la mosca può completare nell’anno varia da 1 fino a 4-5 in zone con temperature medie annue elevate (zone costiere e/o meridionali). La pericolosità della specie è pertanto legata al numero di generazioni e all’andamento climatico che, a seconda dell’annata e della zona, possono variare sensibilmente…

Improved Quadratic Time-frequency Distributions for Detecting Inter-turn Short Circuits of PMSMs in Transient States

2020

This paper aims to improve quadratic time-frequency distributions to adapt condition monitoring of electrical machines in transient states. Short-Time Fourier transform (STFT) has been a baseline signal processing technique for detecting fault characteristic frequencies. However, limits of window sizes due to loss of frequency- or time-resolution, make it hard to capture rapid changes in frequencies. Within this study, Choi-Williams and Wigner-Ville distributions are proposed to effectively detect peaks at characteristic frequencies while still maintaining low computation time. The improved quadratic time-frequency distributions allow for generating spectrograms of a longer lasting data sig…

Gear classification and fault detection using a diffusion map framework

2013

CERN IRRADIATION FACILITIES.

2017

CERN provides unique irradiation facilities for applications in dosimetry, metrology, intercomparison of radiation protection devices, benchmark of Monte Carlo codes and radiation damage studies to electronics.

Spatially dynamic forest management to sustain biodiversity and economic returns.

2014

Production of marketed commodities and protection of biodiversity in natural systems often conflict and thus the continuously expanding human needs for more goods and benefits from global ecosystems urgently calls for strategies to resolve this conflict. In this paper, we addressed what is the potential of a forest landscape to simultaneously produce habitats for species and economic returns, and how the conflict between habitat availability and timber production varies among taxa. Secondly, we aimed at revealing an optimal combination of management regimes that maximizes habitat availability for given levels of economic returns. We used multi-objective optimization tools to analyze data fr…

Gear classification and fault detection using a diffusion map framework

2015

This article proposes a system health monitoring approach that detects abnormal behavior of machines. Diffusion map is used to reduce the dimensionality of training data, which facilitates the classification of newly arriving measurements. The new measurements are handled with Nyström extension. The method is trained and tested with real gear monitoring data from several windmill parks. A machine health index is proposed, showing that data recordings can be classified as working or failing using dimensionality reduction and warning levels in the low dimensional space. The proposed approach can be used with any system that produces high-dimensional measurement data. peerReviewed