A stochastic predictive control approach to project risk management

This work shows a control policy based on MPC and applied to project risk management. MPC has been applied due the properties that presents such as the easy constraint treatment or the extension to multivariable case. The control actions are the mitigation actions to execute in order to reduce the risk exposure. Stochastic variables have been introduced to model the uncertainties of risk impacts. Integer variables are involved in the optimization problem modelling the mitigation actions

Hybrid algorithm for scheduling and risk assessment of projects

IFAC CONFERENCE ON ANALYSIS AND DESIGN OF HYBRID SYSTEMS (.2003.SAINT-MALO BRITTANY, FRANCIA)This work presents a technique for optimal scheduling of projects in terms of time and cost, taking into account risk assessment. Tasks are characterized by p-timed Petri nets, where places have assigned an execution time. The proposed technique minimizes the time execution and the cost of the whole project taking into account the Petri nets describing the tasks and the project risk assessment plan. The risk mitigation is carried on through actions where variables that model them may be discrete or continuousMinisterio de Ciencia y Tecnología DPI200 1-2380-C02-0

Asistente personal de seguridad: Infraestructura y cliente Android

[ES] Diseño y desarrollo de un sistema capaz de dar soporte para gestionar toda la información referente a un contexto de emergencia. Indicándole al usuario una serie de acciones a realizar para poder evacuarse a si mismo correctamente.[EN] Design and development of a system able to support the management information about an emergency context. Telling the user a list of actions to evacuate himself properly.Ruiz Zafra, Á. (2012). Asistente personal de seguridad: Infraestructura y cliente Android. http://hdl.handle.net/10251/29905Archivo delegad

A Risk-Based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health

This brief examines how control engineering and risk management techniques can be applied in the field of behavioral health through their use in the design and implementation of adaptive behavioral interventions. Adaptive interventions are gaining increasing acceptance as a means to improve prevention and treatment of chronic, relapsing disorders, such as abuse of alcohol, tobacco, and other drugs, mental illness, and obesity. A risk-based model predictive control (MPC) algorithm is developed for a hypothetical intervention inspired by Fast Track, a real-life program whose long-term goal is the prevention of conduct disorders in at-risk children. The MPC-based algorithm decides on the appropriate frequency of counselor home visits, mentoring sessions, and the availability of after-school recreation activities by relying on a model that includes identifiable risks, their costs, and the cost/benefit assessment of mitigating actions. MPC is particularly suited for the problem because of its constraint-handling capabilities, and its ability to scale to interventions involving multiple tailoring variables. By systematically accounting for risks and adapting treatment components over time, an MPC approach as described in this brief can increase intervention effectiveness and adherence while reducing waste, resulting in advantages over conventional fixed treatment. A series of simulations are conducted under varying conditions to demonstrate the effectiveness of the algorithm

Object oriented modelling and simulation of hydropower plants with run-of-river scheme: A new simulation tool

This paper presents the design of a component library for modelling hydropower plants, and describes the development of a new simulation tool for small hydropower plants with a run-of-river scheme. After reviewing the desirable features of simulation, an approach based on an object oriented modelling language, like EcosimPro, is presented. A general model of hydropower plant with run-of-river scheme is created with this component library. It provides the possibility of choosing a specific number of turbines and spillway gates. In this way, several hydropower stations of similar operating characteristics can be simulated using this same general model. It is expected to obtain interesting information in simulation like the reservoir level, water flows, turbine efficiencies, and so on. In addition, a graphical user interface has been designed in order to operate this general model more easily, to configure plant parameters and to simulate the plant behaviour under different conditions. Three real stations have been used as real examples for validating the model and testing the simulator: hydropower stations of Villafranca and El Carpio (Córdoba, Spain) and Marmolejo (Jaén, Spain)

Un desarrollo territorial sustentable. Una propuesta desde el desarrollo humano y las metodologías participativas. Revisión de los programas europeos

En la presente obra se aborda el Desarrollo Territorial desde los prismas de las teorizaciones que lo informan, las metodologías que lo hacen operativo y las políticas y prácticas que permiten su implementación. Dicho abordaje se realiza partiendo de una premisa, la de la Sustentabilidad, entendida como el prerrequisito ético que debe impulsar la acción humana que conduzca a la mejora de las condiciones de vida y trabajo de la humanidad, atendiendo sus necesidades básicas de forma equilibrada con el sistema ecológico en el que se sustenta nuestra existencia y sin comprometer la atención de esas necesidades para las generaciones futuras. La premisa de la Sustentabilidad opera por tanto como el marco referencial desde el que proceder a la aplicación de los análisis sobre el objeto de estudio, sirviendo de elemento de contraste de las teorías, metodologías y prácticas analizadas. La finalidad última de esta investigación es aportar una propuesta de modelo de Desarrollo Territorial Sustentable. Para ello se hace una revisión crítica de las principales teorizaciones que han abordado esta temática desde distintas disciplinas como la Economía, la Ecología, la Geografía y la Gestión Pública, teniendo a la Sociología como eje vertebrador del análisis. Esas teorizaciones se concentran en el ámbito de la Economía Regional, la Economía Ecológica y las teorías de las Necesidades Humanas, con aportaciones de la perspectiva Eco-feminista. Así mismo, se procede a la revisión de los programas europeos centrados en el desarrollo territorial y más en concreto se analiza la política regional de la Unión Europea, con el objetivo de extraer elementos operativos que resulten útiles para terminar de completar la propuesta de modelo de Desarrollo Territorial Autocentrado Sustentable, en orden a desplegar los elementos referenciales y operativos de la metodología de aplicación de dicho modelo. Para este último objetivo se procede también a la revisión de los diversos referentes teóricos y metodológicos que pueden informar una metodología participativa reflexivo dialógica para el Desarrollo Territorial Sustentable. Esta investigación incluye el estudio más pormenorizado de la aplicación de programas europeos de desarrollo en dos territorios. Uno respecto a programas de desarrollo rural desarrollados por la asociación “In Loco” en la Serra do Caldeirâo (Algarve portugués), y otro en el ámbito urbano, en el barrio de La Mina (Área metropolitana de Barcelona), liderado por Fundación CIREM. Como conclusión central de la investigación se mantiene que, desde el paradigma de la Sustentabilidad, es necesario que las teorizaciones sobre el desarrollo territorial y las metodologías y prácticas que lo implementan, se incrusten sistémicamente en un cambio axiológico histórico que propicie políticas para construir de forma reflexiva y dialógica un nuevo Contrato Social Sustentable para el conjunto de la Humanidad

IFC+: Towards the integration of IoT into early stages of building design

The integration of Internet of Things (IoT) technologies into Building Information Modelling (BIM) provides significant opportunities to support useful services and functionalities for end users in buildings, enabling so-called smart spaces (e.g. smart buildings and smart homes). Current approaches perform this integration to access the deployed IoT devices once the building is constructed using Building Automation Systems (BAS), Building Information Systems (BIS) and Building Control Systems (BCS). Thus, the integration of IoT devices into the early stages of building design to describe IoT scenarios and IoT practices is still neglected, despite the benefits it can provide by being involved in the entire building lifecycle, e.g. cost estimation, stronger facility management, collaborative approach, simplification of tasks for developers/programmers through the integration with BIS, BAS and BCS, and a more holistic management of the IoT infrastructure. This paper presents a solution to integrate IoT into the design stage (modelling) of buildings in BIM processes, through two main contributions: Industry Foundation Classes Plus (IFC+), an extension to the latest version of IFC where new types of entities have been added to support the modelling of IoT scenarios; and a digital object-based approach to transform smart-built environment specifications in IFC+ into consumable software, with the aim of supporting IoT scenarios. This paper illustrates the applicability of the proposed method in the context of design processes, the metamodel (schema) of IFC+, the proposed approach, and a proof of concept with a clarifying use case.This paper was funded by the Spanish Ministerio de Ciencia, Innovación y Universidades under contracts RTI2018-100754-B-I00 (iSUN project) and RTI2018-098160-B-I00 (Air Forecasting project). In addition, this work also received inputs from the COST Action CA19134 Distributed Knowledge Graphs

Un sistema de decisión multicriterio basado en riesgos: aplicación a la fase de ofertas

XXIV JORNADAS DE AUTOMÁTICA (24) (24.2003.LEÓN, ESPAÑA)Este trabajo presenta un sistema de soporte de decisión para proporcionar ayuda en la fase de ofertas, caracterizada por un alto nivel de incertidumbres. La preparación de la propuesta involucra un coste considerable, sumado a una gran movilización de recursos. En la práctica, usualmente las ofertas son evaluadas en base a diferentes criterios o parámetros de decisión. El algoritmo propuesto evalúa los distintos candidatos a propuesta según las distintas configuraciones de criterios. Se ha introducido una estructura basada en riesgos para minimizar una función objetivo que contiene las posibles acciones mitigadoras que pueden eliminar, parcial o totalmente, los daños causados por riesgos. Las acciones mitigadoras pueden tener una naturaleza discreta o continua

FLEXOR: A support tool for efficient and seamless experiment data processing to evaluate musculo-articular stiffness

This research has been supported by the project DEP2015- 70980-R of the Spanish Ministry of Economy and Competitiveness (MINECO) and European Regional Development Fund (ERDF), as well as, received inputs from the COST Action IC1303 AAPELE

Multivariate Statistical Network Monitoring-Sensor: An effective tool for real-time monitoring and anomaly detection in complex networks and systems

Technology evolves quickly. Low-cost and ready-to-connect devices are designed to provide new services and applications. Smart grids or smart health care systems are some examples of these applications. In this totally connected scenario, some security issues arise due to the large number of devices and communications. In this way, new solutions for monitoring and detecting security events are needed to address new challenges brought about by this scenario, among others, the real-time requirement allowing quick security event detection and, consequently, quick response to attacks. In this sense, Intrusion Detection Systems are widely used though their evaluation often relies on the use of predefined network datasets that limit their application in real environments. In this work, a real-time and ready-to-use tool for monitoring and detecting security events is introduced. The Multivariate Statistical Network Monitoring-Sensor is based on the Multivariate Statistical Network Monitoring methodology and provides an alternative way for evaluating Multivariate Statistical Network Monitoring-based Intrusion Detection System solutions. Experimental results based on the detection of well-known attacks in hierarchical network systems prove the suitability of this tool for complex scenarios, such as those found in smart cities or Internet of Things ecosystem