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Marco Polignano and Giovanni Semeraro
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Dex R. ALEKO and Soufiene Djahel
Traffic lights have been used for decades to control and manage traffic flows crossing road intersections to increase traffic efficiency and road safety. However, relying on fixed time cycles may not be ideal in dealing with the increasing congestion lev...
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Christian Krupitzer, Benedikt Eberhardinger, Ilias Gerostathopoulos and Claudia Raibulet
The joint 1st Workshop on Evaluations and Measurements in Self-Aware Computing Systems (EMSAC 2019) and Workshop on Self-Aware Computing (SeAC) was held as part of the FAS* conference alliance in conjunction with the 16th IEEE International Conference on...
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Muhammad Ridho Rosa
This paper addresses the problem of leader?follower synchronization of uncertain Euler?Lagrange systems under input constraints. The problem is solved in a distributed model reference adaptive control framework that includes positive ??
µ
-modification t...
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Charles Roberto Telles
This research proposes and investigates an equation for productivity in hybrid workflows regarding its robustness towards the definition of workflows as a hybrid probabilistic systems. The proposed equation and its derivations were formulated through a t...
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Efthymios Alepis,M. Virvou,K. Kabassi
Pág. pp. 40 - 45
One important field where mobile technology can make significant contributions is education. However one criticism in mobile education is that students receive impersonal teaching. Affective computing may give a solution to this problem. In this paper we...
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Erman Ozpolat and Arif Gulten
This paper explores the synchronization and implementation of a novel hyperchaotic system using an adaptive observer. Hyperchaotic systems, known for possessing a greater number of positive Lyapunov exponents compared to chaotic systems, present unique c...
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Chuanxiang Song, Seong-Yoon Shin and Kwang-Seong Shin
This study introduces a novel approach named the Dynamic Feedback-Driven Learning Optimization Framework (DFDLOF), aimed at personalizing educational pathways through machine learning technology. Our findings reveal that this framework significantly enha...
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Jasmine Rimani, Giordana Bucchioni, Andrea Dan Ryals, Nicole Viola and Stéphanie Lizy-Destrez
The lunar lava tubes are envisioned as possible hosting structures for a human base in the Moon?s equatorial regions, providing shelter from radiations, micrometeoroids, and temperature excursion. A first robotic mission is set to scout the habitability ...
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Junbo Gao, Ze Cai, Wangjing Yu and Wei Sun
An active area of study under the dual carbon target, which is based on automatic identification systems (AIS), is the emission inventory of pollutants from ships. Data compression is required because there is currently so much data that it has become di...
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Ahmed Oussous, Ismail Menyani, Mehdi Srifi, Ayoub Ait Lahcen, Smail Kheraz and Fatima-Zahra Benjelloun
The education sector has never been so shaken up as much as this past year. COVID-19 has imposed new rules. Several countries were forced to switch overnight from a traditional educational model to a full eLearning one. Like most other countries, the Mor...
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Andreas Tolk
Within the modeling and simulation community, simulation-based optimization has often been successfully used to improve productivity and business processes. However, the increased importance of using simulation to better understand complex adaptive syste...
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Rasheed Gbenga Jimoh, Olayinka Olufunmilayo Olusanya, Joseph Bamidele Awotunde, Agbotiname Lucky Imoize and Cheng-Chi Lee
In the field of software development, the efficient prioritizing of software risks was essential and play significant roles. However, finding a viable solution to this issue is a difficult challenge. The software developers have to adhere strictly to ris...
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Juan Carlos Jaimes-Correa, Francisco Muñoz-Arriola and Shannon Bartelt-Hunt
Changing water supplies and demands, inherent to climate fluctuations and human activities, are pushing for a paradigm shift in water management worldwide. The occurrence of extreme hydrometeorological and climate events such as extended wet periods and ...
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Estela Barroso-Barderas, Ángel Antonio Rodríguez-Sevillano, Rafael Bardera-Mora, Javier Crespo-Moreno and Juan Carlos Matías-García
This research focuses on the development of two bioinspired micro air vehicle (MAV) prototypes, based on morphing wings and wing grid wingtip devices. The morphing wings MAV tries to adapt the aerodynamics of the vehicle to each phase of flight by modify...
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Ji-Hong Li, Hyungjoo Kang, Min-Gyu Kim, Mun-Jik Lee, Gun Rae Cho and Han-Sol Jin
In this paper, we present a 3D formation control scheme for a group of torpedo-type underactuated autonomous underwater vehicles (AUVs). These multiple AUVs combined with an unmanned surface vessel (USV) construct a sort of star-topology acoustic communi...
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Yanbin Du, Bin Jiang, Yajie Ma and Yuehua Cheng
This paper considers a novel fault-tolerant control (FTC) scheme for a category of cascade nonlinear systems with mismatched uncertainties and unknown actuator faults. The robust adaptive dynamic programming (RADP) is used to design a novel optimal slidi...
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Souleymane Fall, Ehsan Abdalla, Joseph Quansah, Meghan J. Franklin and Timmera Whaley-Omidire
The COVID-19 pandemic has posed an unprecedented challenge to public health across the world and has further exposed health disparities and the vulnerability of marginal groups. Since the pandemic has exhibited marked regional differences, it is necessar...
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Annetta Burger, William G. Kennedy and Andrew Crooks
Increasingly urbanized populations and climate change have shifted the focus of decision makers from economic growth to the sustainability and resilience of urban infrastructure and communities, especially when communities face multiple hazards and need ...
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Alexander Scheinker
Machine learning (ML) is growing in popularity for various particle accelerator applications including anomaly detection such as faulty beam position monitor or RF fault identification, for non-invasive diagnostics, and for creating surrogate models. ML ...
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