Flood lamination strategy based on a three-flood-diversion-area system management

The flood lamination has for principal objective to maintain a downstream flow at a fixed lamination level. For this goal, it is necessary to proceed to the dimensioning of the river system capacity and to make sure of its management by taking into account socio-economic and environmental constraints. The use of flood diversion areas on a river has for main interest to protect inhabited downstream areas. In this paper, a flood lamination strategy aiming at deforming the wave of flood at the entrance of the zone to be protected is presented. A transportation network modeling and a flow optimization method are proposed. The flow optimization method, is based on the modeling of a Min-Cost-Max-flow problem with a linear programming formulation. The optimization algorithm used in this method is the interior-point algorithm which allows a relaxation of the solution of the problem and avoids some non feasibility cases due to the use of constraints based on real data. For a forecast horizon corresponding to the flood episode, the management method of the flood volumes is evaluated on a 2D simulator of a river equipped with a three-flood-diversion- area system. Performances show the effectiveness of the method and its ability to manage flood lamination with efficient water storage

Knowledge Identification for Personnel Allocation to Research Projects: A Proposal Methodology

Today, knowledge has been acknowledged as an important source of competitive advantage and value creation for organizations. The leveraging of individual knowledge in an organization is important to improve its competitiveness and internal processes. The proposal presented in this work is oriented to organizations that develop research projects and need employees with the skills and competencies necessary for their development. This is difficult because the people in charge of personnel allocation to research projects do not always have the sufficient knowledge for doing an efficient allocation. The objective of this article is proposing a methodology that allows the identification of key knowledge of the employees that can be available for the people in charge of personnel allocation to research projects. A first conceptual approach, based on literature review and the comparison with other similar works, allows proposing a methodology focused in five key phases. This proposal will allow the organizations to identify, capture and disseminate key employees’ knowledge to make it available when it is needed. Keywords: Knowledge Management, Knowledge Identification, Key Knowledge, Human Resource Management, Personnel Allocatio

Non-invasive ultrasonic technology for continuous monitoring of pork loin and ham dry salting

[EN] Online ultrasound measurements were taken using pulse-echo mode in loins (Longissimus dorsi) and hams at different salting times (up to 30 days). From the time-domain ultrasonic wave, the time of flight (TOF) was computed as well as its variation between two signals (Delta TOF). A progressive decrease in TOF during dry salting was found, which was linked to the salt gain, water loss and the reduction in sample thickness. Predictive models based on the ultrasonic parameters (Delta TOF and initial time of flight, TOF0) correctly classified 85% of the loins and 90% of the hams into 3 groups of salt content (low/medium/high): The results obtained confirm that the use of the ultrasonic pulse-echo technique is of great potential in the non-destructive monitoring of dry salting in pork loins and hams, as well as in the prediction of the salt gain for classification purposes. (C) 2017 Elsevier Ltd. All rights reserved.This work was supported by the Spanish Ministerio de Economia y Competitividad (MINECO), the Instituto Nacional de Investigation y Tecnologia Agraria y Alimentaria (INIA) and the European Regional Development Fund (ERDF 2014-2020) (contract n. RTA2013-00030-C03-02), by the PROMETEOII\2014\005 and by the Universitat Politecnica de Valencia (UPV) through the FPI grant awarded to Marta de Prados (SP-1.2011-S1-2757)Prados Pedraza, MD.; Garcia-Perez, J.; Benedito Fort, JJ. (2017). Non-invasive ultrasonic technology for continuous monitoring of pork loin and ham dry salting. Meat Science. 128:8-14. https://doi.org/10.1016/j.meatsci.2017.01.009S81412

Modelling remediation scenarios in historically mined catchments

Local remediation measures, particularly those undertaken in historical mining areas, can often be ineffective or even deleterious because erosion and sedimentation processes operate at spatial scales beyond those typically used in point-source remediation. Based on realistic simulations of a hybrid landscape evolution model combined with stochastic rainfall generation, we demonstrate that similar remediation strategies may result in differing effects across three contrasting European catchments depending on their topographic and hydrologic regimes. Based on these results, we propose a conceptual model of catchment-scale remediation effectiveness based on three basic catchment characteristics: the degree of contaminant source coupling, the ratio of contaminated to non-contaminated sediment delivery, and the frequency of sediment transport events

Caracterización economica del municipio de Rionegro, Antioquia, 2004-2006

Este trabajo caracteriza la actividad económica del Municipio de Rionegro (Antioquia) en el período 2004-2006. A partir del análisis de la evolución de su estructura productiva, las dinámicas recientes en los principales sectores económicos y las características de su mercado laboral; todo enmarcado en el contexto del desempeño reciente de la economía del Oriente antioqueño. El dinamismo económico de esta región ha tenido especial relevancia en el municipio de Rionegro como resultado, entre otros factores, del abastecimiento de productos agrícolas y materias primas para el Área Metropolitana del Valle de Aburrá, del acelerado desarrollo urbano y turístico, de su infraestructura vial, de servicios y, telecomunicaciones de carácter departamental y nacional y por los servicios hoteleros de alta calidad. Rionegro es considerado eje central de la subregión, por su aparato productivo y laboral que le han permitido apalancar el desarrollo socioeconómico de la zona y servir como modelo y referente en sus prácticas administrativas.Oriente Antioqueño - condiciones economicas, Rionegro (Antioquia) - aspectos economicos, Mercado laboral - Rionegro (Antioquia)

Design, Implementation, and Empirical Validation of a Framework for Remote Car Driving Using a Commercial Mobile Network

Despite the fact that autonomous driving systems are progressing in terms of their automation levels, the achievement of fully self-driving cars is still far from realization. Currently, most new cars accord with the Society of Automotive Engineers (SAE) Level 2 of automation, which requires the driver to be able to take control of the car when needed: for this reason, it is believed that between now and the achievement of fully automated self-driving car systems, there will be a transition, in which remote driving cars will be a reality. In addition, there are tele-operation-use cases that require remote driving for health or safety reasons. However, there is a lack of detailed design and implementation available in the public domain for remote driving cars: therefore, in this work we propose a functional framework for remote driving vehicles. We implemented a prototype, using a commercial car. The prototype was connected to a commercial 4G/5G mobile network, and empirical experiments were conducted, to validate the prototype’s functions, and to evaluate its performance in real-world driving conditions. The design, implementation, and empirical evaluation provided detailed technical insights into this important research and innovation area.This research was funded in part by the EU Horizon 2020 5G-PPP 5G-INDUCE project (“Open cooperative 5G experimentation platforms for the industrial sector NetApps”) under grant number H2020-ICT-2020-2/101016941, by the EU Horizon Europe INCODE project (“Programming platform for intelligent collaborative deployments over heterogeneous edge-IoT environments”) under grant number HORIZON-CL4-2022-DATA-01-03/101093069, and by the EU Horizon Europe project INCODE: programming platform for intelligent collaborative deployments over heterogeneous edge-IoT environments (HORIZON-CL4-2022-DATA-01-03/101093069)