Brakes and barriers of Corporate Volunteering

The objective of this research is to study which are the determinants for the participation of employees in Corporate Volunteer actions -hereafter CV- that can become barriers and brakes, and which ones can mean negative consequences for the company. Ignorance of managers for these programs, about which are those brakes and its relevance, may be behind the low participation fees that companies have in their Corporate Volunteering Programs.For this purpose, we conducted a qualitative empirical study to define a model, based on the motivations and determinants of employee participation in corporate volunteer programs. The methodology that we use in order to advance the understanding of this field is common in the dynamics of so-called Discussion Groups or Focus Group (FG). We believe that this methodological approach fits well with the research question and objectives that guide us in this work, since it will allow the reconstruction of real social situations and to capture the interaction between different discourses.We trust the fact the model proposed really allows advance in knowledge of Corporate Volunteer field, as literature suggested, and we offer a conceptual framework to managers in order to develop CV programs that allows mitigating potential risks and increasing employee participation effectively

Assessment of conductor thermal models for grid studies

: Existing EMS applications resort to static network models built upon constant resistances whose values are specified beforehand. However, the steady-state thermal balance of overhead conductors requires that ohmic losses be dissipated by convection and radiation heat, leading to conductor resistances being a function both of environmental factors and transmitted current. Each term of the equation involved in the thermal balance of overhead conductors is analysed allowing the influence of conductor current on conductor temperature to be separated from that corresponding to environmental factors. As a result, three approximate thermal models are elaborated, which are compared on the Spanish transmission system. Test cases are included showing that the influence of the selected model on transmission losses may be significant enough, particularly when the transmission system spans areas with diverse loading levels and weather conditions

Time-Series Prediction: Application to the Short-Term Electric Energy Demand

This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24-hour load forecasting problem. Also, based on recorded data, an alternative model is developed by means of a conventional dynamic regression technique, where the parameters are estimated by solving a least squares problem. Finally, results obtained from the application of both techniques to the Spanish transmission system are compared in terms of maximum, average and minimum forecasting errors

Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production

In this paper, an evolutionary technique applied to the optimal short-term scheduling (24 hours) of the electric energy production is presented. The equations that define the problem lead to a nonlinear mixed-integer programming problem with a high number of real and integer variables. Consequently, the resolution of the problem based on combinatorial methods is rather complex. The required heuristics, introduced to assure the feasibility of the constraints, are analyzed, along with a brief description of the proposed genetic algorithm. Finally, results from realistic cases based on the Spanish power system are reported, revealing the good performance of the proposed algorithm, taking into account the complexity and dimension of the problem

Overload screening of transmission systems using neural networks

The process of determining whether a power system is in a secure or insecure state is a crucial task which must be addressed on-line in any Energy Management System. In this paper, an Artificial Neural Network, capable of accurately identifying the set of harmful contingencies, is presented, along with several results obtained from a real-size power network. The proposed approach makes use of classical numerical techniques to compensate the ANN'S inputs so that it can deal with topological changes in the power system

A Comparison of Two Techniques for Next- Day Electricity Price Forecasting

In the framework of competitive markets, the market’s participants need energy price forecasts in order to determine their optimal bidding strategies and maximize their benefits. Therefore, if generation companies have a good accuracy in forecasting hourly prices they can reduce the risk of over/underestimating the income obtained by selling energy. This paper presents and compares two energy price forecasting tools for day-ahead electricity market: a k Weighted Nearest Neighbours (kWNN) the weights being estimated by a genetic algorithm and a Dynamic Regression (DR). Results from realistic cases based on Spanish electricity market energy price forecasting are reported

una aproximación al fondo de manuscritos poéticos de la Real Biblioteca

Las ontologías de dominio, en concreto RDA y POSTDATA, junto con IIIF, son las tecnologías utilizadas para una aproximación bibliográfica y literaria a la colección de manuscritos poéticos de la Real Biblioteca y su publicación online en el contexto de una biblioteca digital. Se da especial énfasis a los aspectos relacionados con el estudio de la procedencia, tales como las marcas de ejemplar o las relaciones parte-todo para la reconstrucción de un fondo estructuralmente complejo, y, al margen del dominio bibliográfica, se considera también el análisis poético.Domain ontologies, specifically RDA and POSTDATA, together with IIIF, are the technologies used for a bibliographical and literary approach to the Royal Library's collection of poetic manuscripts and their online publication in the context of a digital library. Special emphasis is given to aspects related to the study of provenance, such as copy marks or part-whole relationships for the reconstruction of a structurally complex collection, and, outside the bibliographic domain, poetic analysis is also considere

Ontologías de dominio y herramientas IIIF: una aproximación al fondo de manuscritos poéticos de la Real Biblioteca

Domain ontologies, specifically RDA and POSTDATA, together with IIIF, are the technologies used for a bibliographical and literary approach to the Royal Library's collection of poetic manuscripts and their online publication in the context of a digital library. Special emphasis is given to aspects related to the study of provenance, such as copy marks or part-whole relationships for the reconstruction of a structurally complex collection, and, outside the bibliographic domain, poetic analysis is also considered.Las ontologías de dominio, en concreto RDA y POSTDATA, junto con IIIF, son las tecnologías utilizadas para una aproximación bibliográfica y literaria a la colección de manuscritos poéticos de la Real Biblioteca y su publicación online en el contexto de una biblioteca digital. Se da especial énfasis a los aspectos relacionados con el estudio de la procedencia, tales como las marcas de ejemplar o las relaciones parte-todo para la reconstrucción de un fondo estructuralmente complejo, y, al margen del dominio bibliográfica, se considera también el análisis poétic

Hybrid analog-digital processing system for amplitude-monopulse RSSI-based MiMo wifi direction-of-arrival estimation

We present a cost-effective hybrid analog digital system to estimate the Direction of Arrival (DoA) of WiFi signals. The processing in the analog domain is based on simple wellknown RADAR amplitude monopulse antenna techniques. Then, using the RSSI (Received Signal Strength Indicator) delivered by commercial MiMo WiFi cards, the DoA is estimated using the socalled digital monopulse function. Due to the hybrid analog digital architecture, the digital processing is extremely simple, so that DoA estimation is performed without using IQ data from specific hardware. The simplicity and robustness of the proposed hybrid analog digital MiMo architecture is demonstrated for the ISM 2.45GHz WiFi band. Also, the limitations with respect to multipath effects are studied in detail. As a proof of concept, an array of two MiMo WiFi DoA monopulse readers are distributed to localize the two-dimensional position of WiFi devices. This costeffective hybrid solution can be applied to all WiFi standards and other IoT narrowband radio protocols, such us Bluetooth Low Energy or Zigbee.This work was supported in part by the Spanish National Projects TEC2016-75934-C4-4-R, TEC2016-76465-C2-1-R and in part by Regional Seneca Project 19494/PI/14

Levels of radionuclide concentrations in benthic invertebrate species from the Balearic Islands, Western Mediterranean, during 2012–2018

Baseline levels of radionuclides in the marine environment of the Balearic Islands in Western Mediterranean have not been reported in literature. Because of their ecological role and acknowledged sensitivity to pollutants, herein, the activity concentrations of ²¹⁰Po, 40 K, 210 Pb, 90 Sr, and 234 Th were measured in two types of benthic invertebrate species (mussels and sea urchins) sampled during 2012–2018. The activity concentrations of ²¹⁰Po, ⁴⁰K, ²¹⁰Pb, and ²³⁴Th ranged from 38 ± 1 to 325 ± 11 Bq kg−¹ dry weight (d.w.), 220 ± 10 to 996 ± 46 Bq kg−¹ d.w., ND (lower than the limit of detection) to 55 ± 8 Bq kg−¹ d.w., and ND to 70 ± 15 Bq kg−¹ d.w., respectively. In all cases, no artificial ⁹⁰Sr activity was detected in the collected samples. The committed effective dose to humans was calculated to be in the range of 48–640 μSv year−¹