Sequence- and time-dependent maintenance scheduling in twice re-entrant flow shops

Industrial and academic interest converge on scheduling flow shops with sequence- and time-dependent maintenance. We posit that anticipatory, integrated scheduling of operational and maintenance tasks leads to superior performance to purely 'wait-then-fix' handling of the maintenance tasks. Motivated by an industrial problem with (sequence...

Architecture and Evolution of the Southern Chotts-Jeffara Basin, Tunisia

Southern Tunisia is known to be less deformed and simpler than its neighboring Atlassic domain to the north. This area is complex and basin evolution in the Southern Chotts-Jeffara (SCJ) basin is debated. In this paper we combined surface and subsurface data with low temperature thermochronology (LTT) to reinvestigate the tectono-sedimentary...

Social connectedness at the playground before and after COVID-19 school closure

Social connectedness at school is crucial to children's development, yet very little is known about the way it has been affected by school closures during COVID-19 pandemic. We compared pre-post lockdown levels of social connectedness at a school playground in forty-three primary school-aged children, using wearable sensors, observations,...

The impact of loose-parts-play on schoolyard social participation of children with and without disabilities: A case study

Background: Outdoor social participation in the school playground is crucial for children's socio-emotional and cognitive development. Yet, many children with disabilities in mainstream educational settings are not socially included within their peer group. We examined whether loose-parts-play (LPP), a common and cost-effective intervention...

A novel metric to measure spatio-temporal proximity: a case study analyzing children’s social network in schoolyards

The present study aims to infer individuals’ social networks from their spatio-temporal behavior acquired via wearable sensors. Previously proposed static network metrics (e.g., centrality measures) cannot capture the complex temporal patterns in dynamic settings (e.g., children’s play in a schoolyard). Moreover, existing temporal metrics...

A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory Data

Detecting and analyzing group behavior from spatio-temporal trajectories is an interesting topic in various domains, such as autonomous driving, urban computing, and social sciences. This paper revisits the group detection problem from spatio-temporal trajectories and proposes “WavenetNRI”, a graph neural network (GNN) based method. The...

A Novel Data-Driven Approach to Examine Children’s Movements and Social Behaviour in Schoolyard Environments

Social participation at schoolyards is crucial for children’s development. Yet, schoolyard environments contain features that can hinder children’s social participation. In this paper, we empirically examine schoolyards to identify existing obstacles. Traditionally, this type of study requires huge amounts of detailed information about...

Correction: Nasri et al. A Novel Data-Driven Approach to Examine Children’s Movements and Social Behaviour in Schoolyard Environments. Children 2022, 9, 1177

Vertical Movements and Petroleum System Modelling in the Southern Chotts Basin, Central Tunisia

The southern Chotts basin (SCB), Central Tunisia, has shown hydrocarbon potential since the end of the 1980s. This basin records a complex structural history which appears decoupled at the Hercynian or Variscan unconformity. The Paleozoic series is deformed by short to medium wavelength folds (kilometres-multi kilometres scale) and by steep...

On the Pitfalls and Vulnerabilities of Schedule Randomization against Schedule-Based Attacks

Schedule randomization is one of the recently introduced security defenses against schedule-based attacks, i.e., attacks whose success depends on a particular ordering between the execution window of an attacker and a victim task within the system. It falls into the category of information hiding (as opposed to deterministic isolation-based...

An Exact Schedulability Test for Non-Preemptive Self-Suspending Real-Time Tasks

Exact schedulability analysis of limited-preemptive (or non-preemptive) real-time workloads with variable execution costs and release jitter is a notoriously difficult challenge due to the scheduling anomalies inherent in non-preemptive execution. Furthermore, the presence of self-suspending tasks is well-understood to add tremendous...

From iteration to system failure: Characterizing the fitness of periodic weakly-hard systems

Estimating metrics such as the Mean Time To Failure (MTTF) or its inverse, the Failures-In-Time (FIT), is a central problem in reliability estimation of safety-critical systems. To this end, prior work in the real-time and embedded systems community has focused on bounding the probability of failures in a single iteration of the control loop,...

Response-time analysis of limited-preemptive parallel DAG tasks under global scheduling

Most recurrent real-time applications can be modeled as a set of sequential code segments (or blocks) that must be (repeatedly) executed in a specific order. This paper provides a schedulability analysis for such systems modeled as a set of parallel DAG tasks executed under any limited-preemptive global job-level fixed priority scheduling...

On the Dynamics and Statics of Power System Operation: Optimal Utilization of FACTS Devices and Management of Wind Power Uncertainty

Nowadays, power systems are dealing with some new challenges raised by the major changes that have been taken place since 80’s, e.g., deregulation in electricity markets, significant increase of electricity demands and more recently large-scale integration of renewable energy resources such as wind power. Therefore, system operators must make...