Francisco Prieto-Castrillo

• PhD
• Professor (Associate) at University of Oviedo

We study the non relativistic motions of a charged particle in the electromagnetic field generated by two parallel electrically neutral vertical wires carrying time depends currents. Under quantitative conditions on the currents we prove the existence of a vertical strip of stable motions of the particle. The stable strip is contained in the plane...

A method to characterize the performance of any potential kayak paddler is developed in this work. It is based on a one-dimensional displacement model which reduces the coupled paddler-kayak dynamics into a six-dimensional parametric space. This dimension might be further reduced by considering a composed dimensionless magnitude which characterizes...

The so-called soil-landscape model is the central paradigm which relates soil types to their forming factors through the visionary Jenny’s equation. This is a formal mathematical expression that would permit to infer which soil should be found in a specific geographical location if the involved relationship was sufficiently known. Unfortunately, Je...

In this paper, we study the phenomena of collapse and anomalous diffusion in shared mobility systems. In particular, we focus on a fleet of vehicles moving through a stations network and analyse the effect of self-journeys in system stability, using a mathematical simplex under stochastic flows. With a birth-death process approach, we find analytic...

We explore numerically and analytically how a fleet of vehicles moving through a stations network becomes unbalanced. Framing the system in terms of a mathematical simplex subjected to stochastic flows allows us to understand system’s failure rigorously. This allows to find the effect of self-journeys in system’s stability. With a birth-death proce...

Evaluating the probability of failure of a product during the warranty is key to estimating the cost of its entire life cycle. Photovoltaic (PV) modules are the most reliable elements of a PV system, and their high reliability translates into long warranty periods (typically 25 to 30 years). The number of PV modules that fail during warranty and wh...

Development of contaminant detection systems in various natural and industrial environments has been favored in recent years thanks to the evolution of processors and sensors. Our group works specifically on contaminant detection systems in inland waters: immediate and continuous detection is a fundamental requirement in this type of sensing. Regar...

The appearance of the flexible behavior of endusers based on demand response programs makes the power distribution grids more active. Thus, electricity market participants in the bottom layer of the power system, wish to be involved in the decision-making process related to local energy management problems, increasing the efficiency of the energy t...

Blockchain is one of the most popular topics for discussion now. However, most experts still see this technology as only part of Bitcoin, other crypto-currencies or money transfer systems. Often, new solutions, proposed by young researchers, are blocked by reviewers, only because these solutions can not be used for Bitcoins. However, Blockchain tec...

Blockchain is one of the most popular topics for discussion now. However, most experts still see this technology as only part of Bitcoin, other crypto-currencies or money transfer systems. Often, new solutions, proposed by young researchers, are blocked by reviewers, only because these solutions can not be used for Bitcoins. However, Blockchain tec...

New solutions are required for the management of heterogeneous distributed sensor networks in order to address the problem of data quality and false data detection in wireless sensor networks (WSNs). In this paper, we present a nonlinear cooperative control algorithm based on game theory. Here, a new model is proposed for the automatic processing a...

Devices in a smart home should be connected in an optimal way; this helps save energy and money. Among numerous optimization models that can be found in the literature, we would like to highlight artificial immune systems, which use special bioinspired algorithms to solve optimization problems effectively. The aim of this work is to present the app...

This paper analyses customers’ demand flexibility in a local power trading scenario through an Ising spin-based model. We look at quantitative information on the two-way relationships between power exchanges and spin dynamics. To this end, a modified version of the Metropolis-Hastings algorithm was implemented, including a gradient descent through...

The heart exhibits complex systems behaviors during atrial fibrillation (AF), where the macroscopic collective behavior of the heart causes the microscopic behavior. However, the relationship between the downward causation and scale is nonlinear. We describe rotors in multiple spatiotemporal scales by generating a renormalization group from a numer...

The heart exhibits complex systems behaviors during atrial fibrillation (AF), where the macroscopic collective behavior of the heart causes the microscopic behavior. However, the relationship between the downward causation and scale is nonlinear. We describe rotors in multiple spatiotemporal scales by generating a renormalization group from a numer...

This work presents a theoretical and numerical analysis of the conditions under which distributed sequential consensus is possible when the state of a portion of nodes in a network is perturbed. Specifically, it examines the consensus level of partially connected blockchains under failure/attack events. To this end, we developed stochastic models f...

The use of Bayesian Networks allows to organize and correlate information gathered from different sources and its optimization may incorporate restrictions adjusting the network based on expert knowledge and network operativeness, in such a way that it may satisfactorily represent a given domain. The main goal of this paper is to study if an optimi...

In this paper we make a critical review of the existing technology in the smart cities and smart grid paradigms from the security perspective. First we summarize the findings about the evolution of renewable technology over time and in particular the benefits of a Cost reduction potential for solar and wind power in the period 2015-2025. Then we bu...

In this paper we make a critical review of the existing technology in the smart cities and smart grid paradigms from the security perspective. First we summarize the findings about the evolution of renewable technology over time and in particular the benefits of a Cost reduction potential for solar and wind power in the period 2015-2025. Then we bu...

This paper proposes a new model to allocate reserve costs among the involved players, considering the characteristics of the several entities, and the particular circumstances at each moment. The proposed model is integrated in the Multi-Agent Simulator of Competitive Electricity Markets (MASCEM), which enables complementing the multi-agent simulat...

This paper proposes a predictive dispatch model to manage energy flexibility in the domestic energy system. Electric Vehicles (EV), batteries and shiftable loads are devices that provide energy flexibility in the proposed system. The proposed energy management problem consists of two stages: day-ahead and real time. A hybrid method is defined for t...

Power systems worldwide are complex and challenging environments. The increasing necessity for an adequate integration of renewable energy sources is resulting in a rising complexity in power systems operation. Multi-agent based simulation platforms have proven to be a good option to study the several issues related to these systems. In a smaller s...

The connection of devices in a smart home should be done optimally, this helps save energy and money. Numerous optimization models have been applied, they are based on fuzzy logic, linear programming or bio-inspired algorithms. The aim of this work is to solve an energy management problem in a domestic environment by applying an artificial immune s...

In this paper, a new mechanism is proposed to apportion expected reserve costs between electricity market agents in the power system. The uncertainties of generation units, transmission lines, wind power generation and electrical loads are considered in this model. Hence, a Stochastic Unit Commitment (SUC) is used to apply the uncertainty of stocha...

In this work we show how a simple model based on chemical signaling can reduce the exploration times in urban environments. The problem is relevant for smart city navigation where electric vehicles try to find recharging stations with unknown locations. To this end we have adapted the classical ant foraging swarm algorithm to urban morphologies. A...

In this work we show how a simple anti-pheromone ant foraging based algorithm can be effective in urban navigation by reducing exploration times. We use a distributed multi agent architecture to test this algorithm. Swarm collaboration is analysed for different scenarios with varying number of units and map complexity. We show how an increase in th...

This work proposes a organization-based Multi-Agent System that models Local Electricity Market (MASLEM). A bottom-up approach is implemented to manage energy in this work. In this context, agents are able to connect to each other and the power grid to transact electrical energy, and manage their inside electrical energy independently. A Demand Res...

This paper proposes a Predictive Dispatch System (PDS) as part of a Multi-Agent system that models the Smart Home Electricity System (MASHES). The proposed PDS consists of a Decision-Making System (DMS) and a Prediction Engine (PE). The considered Smart Home Electricity System (SHES) consists of different agents, each with different tasks in the sy...

This paper proposes a review of Energy Management Systems (EMSs) based on Multi-Agent Systems (MASs). Also, goal, scale, strategy and software are discussed as different characteristics of the EMSs. Then, multi agent-based structure of the EMSs is described. Finally, challenges and future discussions related to the EMSs are presented in this paper.

In this work we show how a simple anti-pheromone ant foraging based algorithm can be effective in urban navigation by reducing exploration times. We use a distributed multi agent architecture to test this algorithm. Swarm collaboration is analysed for different scenarios with varying number of units and map complexity. We show how an increase in th...

This paper proposes a Building Energy Management System (BEMS) as part of an organization-based Multi- Agent system that models the Smart Home Electricity System (MASHES). The proposed BEMS consists of an Energy Management System (EMS) and a Prediction Engine (PE). The considered Smart Home Electricity System (SHES) consists of different agents, ea...

This paper proposes a Predictive Dispatch System (PDS) as part of a Multi-Agent system that models the Smart Home Electricity System (MASHES). The proposed PDS consists of a Decision-Making System (DMS) and a Prediction Engine (PE). The considered Smart Home Electricity System (SHES) consists of different agents, each with different tasks in the sy...

This work proposes a organization-based Multi-Agent System that models Local Electricity Market (MASLEM). A bottom-up approach is implemented to manage energy in this work. In this context, agents are able to connect to each other and the power grid to transact electrical energy, and manage their inside electrical energy independently. A Demand Res...

In this work, an interval-based method is presented to consider the uncertainty of decision-making variables without knowledge of the probability density function. This method is called Stochastic Predicted Bands (SPB). In SPB, modeling of uncertainty is done by bands based on the prediction of stochastic variables. Besides, an auxiliary parameter...

Reparation programs are increasingly adopted among a set of transitional justice policies following mass violence and oppressive regimes. Reparations seek to assist victims to overcome or alleviate the damage they have suffered, to restore their dignity and to provide assurance that the harms they suffered do not happen again. Reparations are also...

In this paper, a new interval optimization method is proposed to manage the uncertainty of stochastic variables to the problem of Residential Energy Management (REM). This new method is called Stochastic Predicted Bands (SPB) and it considers the uncertainty of decision making variables without knowledge of the Probability Density Function (PDF). T...

Collective cell migration is a hallmark of wound repair, cancer invasion and metastasis, immune responses, angiogenesis, and embryonic morphogenesis. Wound healing is a complex cellular and biochemical process necessary to restore structurally damaged tissue. It involves dynamic interactions and crosstalk between various cell types, interaction wit...

The mapping of populations socio-economic well-being is highly constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to assess; thus the speed of which policies can be designed and evaluated is limited. However, recent studies have...

The mapping of populations socio-economic well-being is highly constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to assess; thus the speed of which policies can be designed and evaluated is limited. However, recent studies have...

The recent rapid growth of social media and online social networks (OSNs) has raised interesting questions about the spread of ideas and fads within our society. In the past year, several papers have drawn analogies between the rise and fall in popularity of OSNs and mathematical models used to study infectious disease. One such model, the irSIR mo...

In the recent years, several terrorist groups have started to make an intensive use of the Internet and various online so- cial networks to spread their message and radicalize vulner- able individuals. In this context, security forces are in charge of detecting and monitoring ongoing radicalization pro- cesses, which often take place publicly, in s...

The inconvenience and pain associated with multiple Insulin injections, as well as noncompliance of patients with poorly controlled diabetes have prompted the development of alternative, pain-free delivery methods. Transdermal drug delivery (TDD) is gaining significance in the recent years due to its advantages over other invasive methods. An insul...

Springer International Publishing AG 2016. The mapping of populations socio-economic well-being is highly constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to assess; thus the speed of which policies can be designed and evaluate...

This work considers the problem of finding analytical expressions for the expected values of dis- tributed computing performance metrics when the underlying communication network has a complex structure. Through active probing tests a real distributed computing environment is analysed. From the resulting network, ensembles of synthetic graphs with...

Grid computing environments are distributed systems composed by heterogeneous and geographically distributed resources. This type of systems mainly emerged to satisfy the increasing computing power demand within the scientific community. Despite the advantages of such paradigm, there are still several challenges related to the discovery, monitoring...

Over the last few years, the adaptation ability has become an essential characteristic for grid applications due to the fact that it allows applications to face the dynamic and changing nature of grid systems. This adaptive capability is applied within different grid processes such as resource monitoring, resource discovery, or resource selection....

Grid computing is considered a promising trend, which enables the sharing of a wide variety of computational and storage resources geographically distributed. Despite the advantages of such paradigm, several problems have emerged during the last decade; most of them caused by an inefficient utilization of grid resources. The present contribution pr...

The Small-world phenomenon is a principle in which seemingly dis- tant nodes are linked by short chains of acquaintances. This property is found in a wide range of biological, social or natural networks. We proposed a self- adaptive model for solving the grid computing resources selection problem. A heuristic based on Small-World concepts is define...

This work proposes an optimised scheme to deploy sensor networks. The network growth model is based on cellular automata to improve measurement quality at those locations likely to report sensor activity. Then, a population- based optimisation scheme is performed to identify those solutions maximising measurement quality while minimising cost at ev...

This work is aimed at finding optimized schemes to effectively deploy sensor networks through Agent Based Modeling. An initial popula- tion of measurement strategies is generated. Solutions are built cyclically by proposing new allocation sensor and measurement rate schemes. Every so- lution is based on cellular automata inspired computing algorith...

Swarm intelligence algorithms are used to simulate the behaviour of non-centralized and self-organizing systems, which could be natural or artificial. Grid computing environments are distributed systems comprised heterogeneous and geographically distributed resources. This computing paradigm presents problems related to resources management (discov...

This paper proposes a new methodology to optimize the deployment and management of the power grid smart monitoring infrastructure in order to gradually achieve better representations of the micro-generation (μg) activity as the volume of measurement increases. A combination of simulated measurements and predictions with an optimization scheme is an...

This dissertation proposes a novel formulation for the rocking motion (RM) of rigid-blocks when no sliding mechanisms are present. Both theoretical and numerical analyses are included. The results obtained from a new formulation for single block dynamics, which have shown to be extremely powerful, led to the generalization for many degrees of freed...

Scientists often have constraints from their experiments such as deadlines and budgets. For that reason, Job scheduling problem in Grid environments is not only important but also a challenging task. Both requirements - execution time and cost - are conflictive each other because faster resources usually involve higher costs. In this research, we c...

Small-world property is found in a wide range of natural, biological, social or transport networks. The main idea of this phenomenon is that seemingly distant nodes actually have very short path lengths due to the presence of a small number of shortcut edges running between clusters of nodes. In the present work, we apply this principle for solving...

Job scheduling is a challenging task on grid environments because they must fulfill user requirements. Scientists often have deadlines and budgets for their experiments (set of jobs). But these requirements are in conflict with each other – cheaper resources are slower than the expensive ones. In this paper, we have implemented two multi-objective...

Grid computing environments are distributed systems formed by a heterogeneous and geographically distributed resource set. In spite of the advantages of such paradigm, several problems related to resources availability and resources selection have become a challenge extensively studied by the grid community in last years. The aim of this work is to...

In the last decade, Complex Network theory has been applied in many disciplines to solve a wide range of problems. Most social, biological and technological networks are modelled as complex networks from their topology point of view. In this regard, an Efficient Resources Selection (ERS) model was proposed in a previous work to solve the resources...

Este trabajo presenta una metodología para optimizar el despliegue y configuración de una infraestructura que monitoriza la producción y consumo de energía en sistemas basados en Smart Meters. Se realiza un proceso evolutivo sobre las representaciones del sistema de micro-generación, en función de la actividad de micro-generación en curso. El estud...

Grid computing infrastructures are systems composed by an heterogeneous and geographically distributed resource set. Despite the advantages of such paradigm, several challenges related to grid resources selection and resources availability still demand active research. The aim of this article is to provide an efficient and self-adaptive resources s...

Grid scheduling techniques are widely studied in the related literature to fulfill scientist requirements of deadline or budget for their experiments. Due to the conflictive nature of these requirements - minimum response time usually implies expensive resources - a multi-objective approach is implemented to solve this problem. In this paper, we pr...

The Grid has shown to be a valuable technology for researchers. However, its frontends are usually designed for users with high computational skills and they aren't very user-friendly. This fact typically causes contempt to final users, because they want to focus their efforts on their researches, skipping concepts not related with their studies. A...

Often, solutions to complex problems are found in nature. Swarm algorithms are capable of solving such complex problems by implementing patterns from nature. This patterns are found in a variety of scientific fields. In this paper, we discuss two swarm algorithms extracted from Biology and Physics, namely: Multiobjective Artificial Bee Colony (MOAB...

Preliminary results for application workflow deployments over a simplified GRID with a complex, non-trivial communications network topology and a homogeneous computing capacity are addressed. Application workflows are mod-eled as Directed Acyclic Graphs (DAG) where communication costs are assumed to depend on the underlying network hopcount. A simp...

Grid computing has become in recent years an important alternative to traditional parallel computing by providing computational capabilities at large scales. On the other hand, complex networks have shown to develop non-trivial topological features which can be adapted to the optimization of a wide range of problems. The present study uses this app...

This paper presents a multi-objective swarm optimization algorithm for scheduling experiments across the Grid. In a sense, MOABC (Multi-Objective Artificial Bee Colony) is implemented to optimize the scheduling of an experiment with dependent jobs respect to the minimization of its execution time and cost. The main advantage in this approach is tha...

The present paper describes the development of the CardioGrid framework into the Grid infrastructure. The core Grid services; workload management system (WMS), data management system and grid authentication have been implemented. Additionally, a Web-based tool -the CardioGrid portal-has been developed to facilitate the user interaction with the Gri...

This work presents a GRID framework to estimate the vulnerability of structures under earthquake hazard. The tool has been designed to cover the needs of a typical earthquake engineering stability analysis; preparation of input data (pre-processing), response computation and stability analysis (post-processing). In order to validate the application...

The present paper describes the development of the CardioGrid framework into the Grid infrastructure. The core Grid services; workload management system (WMS), data management system and grid authentication have been implemented. Additionally, a Web-based tool -the CardioGrid portal-has been developed to facilitate the user interaction with the Gri...

The present contribution describes the main goals and methodology for the deployment of a self-organized neural network algorithm (SOM) for satellite image classification on a GRID infrastructure. Satellite images are first handled through a normalization process in order to obtain the equivalent data matrices. Then, two phases are implemented to b...

This chapter presents the gLibrary/DRI (Digital Repositories Infrastructure) platform. The main goal of the platform is to reduce the cost in terms of time and effort that a repository provider spends to get its repository deployed. This is achieved by providing a common infrastructure and a set of mechanisms (APIs and specifications) that reposito...

In this work we present gLibrary/DRI, a Grid-based multirepository environment designed to ease the deployment and hosting of repositories on top of Grid eInfrastructures. Grid environments present several facilities that are worthy for digital repositories. The most important ones are strong security contexts, the data federation, the information...

This paper describes the behavior of single rigid-block structures under dynamic loading. A comprehensive experimental investigation has been carried out to study the rocking response of four blue granite stones with different geometrical characteristics under free vibration, and harmonic and random motions of the base. In total, 275 tests on a sha...

This paper describes the behavior of single rigid-block structures under dynamic loading. A comprehensive experimental investigation has been carried out to study the rocking response of four blue granite stones with different geometrical characteristics under free vibration, and harmonic and random motions of the base. In total, 275 tests on a sha...

This paper studies the dynamic behaviour of rigid-block structures under seismic behaviour. For this purpose, an experimental investigation has been carried out on the rocking response of single blocks, and ensembles of two and three blocks structures. These structures were subjected to three different base motions: free rocking, harmonic and rando...

This paper addresses the numerical modelling of rigid blocks subjected to rocking motion. Two different tools are considered. The first tool is analytical and overcomes the usual limitations of the traditional piecewise equations of motion through Lagrangian formalism. The second tool is based on the Discrete Element Method (DEM), especially effect...

The present contribution discusses the applications of a novel technique for the evaluation of damage in masonry construction. Existing non-destructive evaluation procedures are reviewed and adapted to the case of old masonry buildings. Preliminary results obtained from an extensive analytical and experimental research at the Cathedral of Coria all...

A novel formulation for the rocking motion of a rigid block on a rigid foundation is presented in this work. The traditional piecewise equations are replaced by a single ordinary differential equation. In addition, damping effects are no longer introduced by means of a coefficient of restitution but understood as the presence of impulsive forces. T...

In this work the classical theory of one block rocking motion is revisited. A Dirac-delta type interaction as impact mechanism is found to be an alternative for the traditional model. Numerical computations with this new formulation have shown that the agreement with the classical theory is excellent for the case of slender blocks and small displac...

The Handbook of Research on Computational Grid Technol- ogies for Life Sciences, Biomedicine, and Healthcare brings together state-of-the art methodologies and developments of grid ������������������������������������������������������������������������ of Research considers the use of grid technologies to support research and application of each i...

Resumen—El presente documento describe el desarrollo de CardioGrid en el marco de la infraestructura Grid. Los servicios Grid; Sistema de Gestión de Trabajos, Sistema de Gestión de Datos y la autenticación Grid se han puesto en práctica. Adi-cionalmente se desarrolló, una herramienta basada en un portal web para facilitar la interacción del usuario...