Energy policy and regulatory challenges in natural gas infrastructure and supply in the energy transition in Sweden

Sweden is undergoing a major energy transition in which the present regulatory, competition and energy decisions will determine future involvement in the “oil and gas game” after decades of successful implementation of non-fossil fuel dependence policies. Contrary to major energy policies implemented since the oil crisis of the 70’s, higher natural gas investment in infrastructure – in particular regarding offshore pipelines – is not an outcome of a consented agreement between the government and private firms. The lack of clear governmental definition towards the time to phase out nuclear terminals, and how this source of energy would be replaced, is leading the country towards an energy bottleneck that could condition future energy supply, thus governance. Under these conditions, crucial decisions shall be taken in the near future regarding granting permissions to pipelines that connect to the Russian natural gas fields following an EU trend, to the Norwegian natural gas reserves on the trail of a Nordic energy path-dependence, or to both, sharing potential benefits and risks.Energy policy; Future energy supply; Natural gas infrastructure; Energy transition; Sweden; Russian natural gas fields; Norwegian natural gas reserves; Swedish energy transition.

Características hidrolitológicas de las formaciones Patagonia y Santa Cruz. Cuenca del Golfo San Jorge. (Provincias de Chubut y Santa Cruz

Fil: Hernández, Lisandro. Cátedra de Fundamentos de Geología. Facultad de Ciencias Naturales y Museo. Universidad Nacional de La Plata; ArgentinaFil: Hernández, Mario Alberto. Cátedra de Hidrogeología. Facultad de Ciencias Naturales y Museo. Universidad Nacional de La Plata; Argentin

A Broadband Bow-Tie Cavity-Backed Slot for Traveling-Wave Arrays in the Millimeter-Wave Band

The use of bow-tie geometries to enhance the characteristics of a radiating element previously proposed by the authors is presented. The previous element consisted of a broadband cavity-backed slot in transmission configuration. The bow-tie shape of the cavity improves the bandwidth of the element and the bow-tie slot keeps constant the amount of power radiated. The structure is designed for the millimeterwave band. The enhancement of the element performance is shown through simulation results. A fractional bandwidth of more than 100% is achieved in the 70 GHz band, and the radiated power remains almost constant throughout 30 GHz of the bandwidth. These results show a great improvement over the original radiating element. The radiating structure has the ideal characteristics for building series-fed reconfigurable arrays for wide-band applications in the millimeter-wave band.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. This work was supported in part by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 706334, in part by the Spanish Ministerio de Educaci´on, Cultura y Deporte (Programa para la Formaci´on del Profesorado Universitario) under Grant FPU15/06457 and in other part by the Spanish Ministerio de Econom´ıa y Competitividad, under the project ADDMATE TEC2016-76070-CR3-3-R

Global distribution of ionospheric scintillations from the Real-Time GPS ROTI

A global real-time monitoring system has been implemented in the frame of ESA-ESTEC/EGNOS-POfunded project MONITOR. It is based on world-wide GNSS datastreams distributed by means of NTRIP and provides multiple ionospheric indices and products to the scientific community and industry. In particular, the Rate Of Total Electron Content Index (ROTI) proxy, which is correlated with scintillation activity and has been running for several years for real-time detection and monitoring. It shall also be pointed out that the multiple products, also aiming at the identification of Travelling Ionospheric Disturbances (TIDs), Solar Flares overionization, among other ionospheric perturbations, are useful to properly characterize scenarios where these could occur simultaneously to scintillations. In addition, there is also a new proxy suitable for radio-occultation GNSS measurements, named OSPI. In this context, a climatological ionospheric scintillation study has been conducted in different latitudinal regions from the UPC-IonSAT database of global ROTI. For this purpose, we have obtained results from several receivers in 30-degree latitudinal strips and distinguishing between North- and South-Hemisphere locations.Postprint (published version

Android Malware Characterization using Metadata and Machine Learning Techniques

Android Malware has emerged as a consequence of the increasing popularity of smartphones and tablets. While most previous work focuses on inherent characteristics of Android apps to detect malware, this study analyses indirect features and meta-data to identify patterns in malware applications. Our experiments show that: (1) the permissions used by an application offer only moderate performance results; (2) other features publicly available at Android Markets are more relevant in detecting malware, such as the application developer and certificate issuer, and (3) compact and efficient classifiers can be constructed for the early detection of malware applications prior to code inspection or sandboxing.Comment: 4 figures, 2 tables and 8 page

Grid Global Behavior Prediction

Complexity has always been one of the most important issues in distributed computing. From the first clusters to grid and now cloud computing, dealing correctly and efficiently with system complexity is the key to taking technology a step further. In this sense, global behavior modeling is an innovative methodology aimed at understanding the grid behavior. The main objective of this methodology is to synthesize the grid's vast, heterogeneous nature into a simple but powerful behavior model, represented in the form of a single, abstract entity, with a global state. Global behavior modeling has proved to be very useful in effectively managing grid complexity but, in many cases, deeper knowledge is needed. It generates a descriptive model that could be greatly improved if extended not only to explain behavior, but also to predict it. In this paper we present a prediction methodology whose objective is to define the techniques needed to create global behavior prediction models for grid systems. This global behavior prediction can benefit grid management, specially in areas such as fault tolerance or job scheduling. The paper presents experimental results obtained in real scenarios in order to validate this approach