Search results for "Maintena"

Explainable AI for Industry 4.0 : Semantic Representation of Deep Learning Models

2022

Artificial Intelligence is an important asset of Industry 4.0. Current discoveries within machine learning and particularly in deep learning enable qualitative change within the industrial processes, applications, systems and products. However, there is an important challenge related to explainability of (and, therefore, trust to) the decisions made by the deep learning models (aka black-boxes) and their poor capacity for being integrated with each other. Explainable artificial intelligence is needed instead but without loss of effectiveness of the deep learning models. In this paper we present the transformation technique between black-box models and explainable (as well as interoperable) …

Toward farm-level health management of wind turbine systems: status and scope for improvements

2018

An outline of health management for OWFs has been detailed in this chapter with description of various important elements. The need for such farm level management is explained and benefits are discussed. Key gaps to be filled in order to realize such a system are identified. The proposed health management system is mainly based on the existing knowledge of fleet-level management in the aerospace sector. Health management is much broader than CM; there are a number of aspects beyond the prognostics capabilities that are to be designed in order to arrive at a comprehensive maintenance management scheme. A comprehensive maintenance program that is sensitive to the health of the assets and adap…

Recurrent pathologies in recently built schools in Palermo,

2006

This topic concerns the most significant pathologies noticed in the facilities being used as schools, which were built in Palermo in the last three decades. Many among these facilities already have undergone major restoration works, while the others are in poor conditions, which remarkably compromise the quality of their utilization. Sober elegance and safety are particularly important whenever a facility is to function as a school, especially if we consider the type of users and the ways of utilization. In order to achieve such goal, it is fundamental to analyse the most frequent pathologies, relating them to their causes, so as to have the tools for correcting previous errors and prevent …

Lake size and fish diversity determine resource use and trophic position of a top predator in high-latitude lakes

2015

Prey preference of top predators and energy flow across habitat boundaries are of fundamental importance for structure and function of aquatic and terrestrial ecosystems, as they may have strong effects on production, species diversity, and food-web stability. In lakes, littoral and pelagic food-web compartments are typically coupled and controlled by generalist fish top predators. However, the extent and determinants of such coupling remains a topical area of ecological research and is largely unknown in oligotrophic high-latitude lakes. We analyzed food-web structure and resource use by a generalist top predator, the Arctic charr Salvelinus alpinus (L.), in 17 oligotrophic subarctic lakes…

Automated transient hypertext support for software maintenance

2000

Cognitive behavioural therapy interventions for insomnia among shift workers: RCT in an occupational health setting

2019

Abstract Introduction The aim of the study was to compare the effectiveness of cognitive behavioural therapy interventions for insomnia (CBT-I) to that of a sleep hygiene intervention in a randomized controlled design among shift workers. We also studied whether the features of shift work disorder (SWD) affected the results. Methods A total of 83 shift workers with insomnia disorder were partially randomized into a group-based CBT-I, self-help CBT-I, or sleep hygiene control intervention. The outcomes were assessed before and after the interventions and at 6-month follow-up using questionnaires, a sleep diary, and actigraphy. Results Perceived severity of insomnia, sleep-related dysfunction…

Theoretical approaches and frameworks to language maintenance and shift research : a critical review

2019

This article presents a critical overview of theoretical approaches and frameworks to language maintenance and shift research in the area of immigrant languages. It covers the underlying principles of these frameworks and assesses their advantages and shortcomings. The article argues that the field’s theoretical orientations have shifted recently, with a greater emphasis on understanding language maintenance and shift as a dynamic process involving complex interrelationships between space and time. These new trends and new areas of research in relation to language maintenance and shift are highlighted and discussed in different parts of the article. The article concludes by calling on the s…

Pre-sleep arousal and sleep quality during the COVID-19 lockdown in Italy

2021

Abstract Objective The COVID-19 pandemic has strongly affected daily habits and psychological wellbeing, and many studies point to large modifications in several sleep and sleep-related domains. Nevertheless, pre-sleep arousal during the pandemic has been substantially overlooked. Since hyperarousal represents one of the main factors for the development and the perpetuation of chronic insomnia disorder, the assessment of variables associated with high levels of pre-sleep arousal during the pandemic is clinically relevant. The study aimed to assess the prevalence and predictors of perceived sleep quality and pre-sleep arousal in an Italian sample during the COVID-19 lockdown. Methods We used…

Fault-proneness of open source software: Exploring its relations to internal software quality and maintenance process

2013

The goal of this study is to explore how fault-proneness of open source software (OSS) could be explained in terms of internal quality attributes and maintenance process metrics. We reviewed earlier studies and performed a multiple case study of eight Java-based projects based on data available in the Source Forge repository. Overall, we studied 342 re- leases of those systems. As is usual, software quality was regarded as a set of internal and external quality attributes. A to- tal of 76 internal quality attributes were measured from the source code of the selected systems via the tool SoftCalc. Two external quality attributes contributing to fault-proneness were in turn obtained from the …

The influence of dataset size on the performance of cell outage detection approach in LTE-A networks

2015

The configuration and maintenance of constantly evolving mobile cellular networks are getting more and more complex and hence expensive. Self-Organizing Networks (SON) concept is an umbrella term for the set of automated solutions for network operations proposed by 3rd Generation Partnership Project (3GPP) group. Automated cell outage detection is one of the components of SON functionality. In early studies our research group developed data-driven approach for the detection of malfunctioning cells. In this paper we investigate the performance of the proposed solution as a function of the density of active users and the size of observation interval. The evaluation is conducted in Long Term E…