Towards a Cyber-physical Resilience Framework for Smart Grids

As modern power grids move towards becoming a smart grid, there is an increasing reliance on the data that is transmitted and processed by ICT systems. This reliance introduces new digital attack vectors. Many of the proposed approaches that aim to address this problem largely focus on applying well-known ICT security solutions. However, what is needed are approaches that meet the complex concerns of the smart grid as a cyber-physical system. Furthermore, to support the automatic control loops that exist in a power grid, similarly automatic security and resilience mechanisms are needed that rely on minimal operator intervention. The research proposed in this paper aims to develop a framework that ensures resilient smart grid operation in light of successful cyber-attacks.

Identification of Road Irregularities via Vehicle Accelerations

A periodic monitoring of the pavement condition facilitates a cost-effective distribution of the resources available for maintenance of the road infrastructure network. The task can be accurately carried out using profilometers, but such an approach is generally expensive. This paper presents a method to collect information on the road profile via accelerometers mounted in a fleet of non-specialist vehicles, such as police cars, that are in use for other purposes. It proposes an optimisation algorithm, based on Cross Entropy theory, to predict road irregularities. The Cross Entropy algorithm estimates the height of the road irregularities from vehicle accelerations at each point in time. To test the algorithm, the crossing of a half-car roll model is simulated over a range of road profiles to obtain accelerations of the vehicle sprung and unsprung masses. Then, the simulated vehicle accelerations are used as input in an iterative procedure that searches for the best solution to the inverse problem of finding road irregularities. In each iteration, a sample of road profiles is generated and an objective function defined as the sum of squares of differences between the ‘measured’ and predicted accelerations is minimized until convergence is reached. The reconstructed profile is classified according to ISO and IRI recommendations and compared to its original class. Results demonstrate that the approach is feasible and that a good estimate of the short-wavelength features of the road profile can be detected, despite the variability between the vehicles used to collect the data.

Labelled 15NO study on N2 and N2O formation over Pt-Ba/Al2O3 LNT catalysts

CSI 2264: Simultaneous Optical and Infrared Light Curves of Young Disk-bearing Stars in NGC 2264 with CoRoT and Spitzer—Evidence for Multiple Origins of Variability

We present the Coordinated Synoptic Investigation of NGC 2264, a continuous 30 day multi-wavelength photometric monitoring campaign on more than 1000 young cluster members using 16 telescopes. The unprecedented combination of multi-wavelength, high-precision, high-cadence, and long-duration data opens a new window into the time domain behavior of young stellar objects. Here we provide an overview of the observations, focusing on results from Spitzer and CoRoT. The highlight of this work is detailed analysis of 162 classical T Tauri stars for which we can probe optical and mid-infrared flux variations to 1% amplitudes and sub-hour timescales. We present a morphological variability census and then use metrics of periodicity, stochasticity, and symmetry to statistically separate the light curves into seven distinct classes, which we suggest represent different physical processes and geometric effects. We provide distributions of the characteristic timescales and amplitudes and assess the fractional representation within each class. The largest category (>20%) are optical "dippers" with discrete fading events lasting ~1-5 days. The degree of correlation between the optical and infrared light curves is positive but weak; notably, the independently assigned optical and infrared morphology classes tend to be different for the same object. Assessment of flux variation behavior with respect to (circum)stellar properties reveals correlations of variability parameters with Hα emission and with effective temperature. Overall, our results point to multiple origins of young star variability, including circumstellar obscuration events, hot spots on the star and/or disk, accretion bursts, and rapid structural changes in the inner disk. Based on data from the Spitzer and CoRoT missions. The CoRoT space mission was developed and is operated by the French space agency CNES, with participation of ESA's RSSD and Science Programmes, Austria, Belgium, Brazil, Germany, and Spain.

Création littéraire sous contexte médiatisé: l'œuvre de Michel Houellebecq, Amélie Nothomb et Jacques Chessex

Partindo da análise dos processos de legitimação e de consagração que regem, a partir da segunda metade do século XX, a mediatização do campo literário, propomo-nos estudar os peri-fenómenos consequentes, tal como a correlação possível entre essa circunstância e a própria criação. O objeto deste estudo focaliza-se na produção de três escritores paradigmáticos das letras de expressão francesa europeias contemporâneas, cuja mediatização acompanha a popularidade: o francês Michel Houellebecq, a belga Amélie Nothomb e o suíço romando Jacques Chessex. Interrogamo-nos sobre as relações possíveis entre os instrumentos dessa mediatização e os seus efeitos nas opções de escrita destes três escritores. Atenta à projeção transfronteiriça de autores e de obras, resultado de uma convergência de alguns fatores de mediatização, mas também às particularidades da memória cultural e literária onde se inscrevem as literaturas respectivas (num percurso de legitimação progressiva das literaturas de periferia face à centralidade franco-francesa), a nossa reflexão visa também contribuir para uma recontextualização do cânone da literatura francesa no contexto globalizado da sociedade mediática contemporânea na qual os autores visados estão comprometidos.

Competitive destination analysis in Southern European countries

Purpose – The purpose of this paper is to analyse the competitiveness of the European Union Member States of Southern Europe (France, Greece, Italy, Portugal and Spain) as tourist destinations for European Union Member States of Central and Northern Europe (Austria, Belgium, Denmark, Finland, Germany, The Netherlands, Ireland, Sweden and the UK). Design/methodology/approach – Application of the market share analysis tool, initially developed by Faulkner, using secondary data from Eurostat – statistical office of the European communities. Findings – The results obtained show that France, Greece, Italy, Portugal and Spain present distinct levels of competitiveness for the various generating countries, with changes having occurred in the period between 1999 and 2007. Originality/value – The paper offers refreshment of Faulkner's tool and an insight into tourist flows in Europe as a tool for tourism and hospitality managers.

Design and implementation of a real-time data acquisition system for the identification of dynamic temperature models in a hydroponic greenhouse

This text describes a real data acquisition and identification system implemented in a soilless greenhouse located at the University of Algarve (south of Portugal). Using the Real Time Workshop, Simulink, Matlab and the C programming language a system was developed to perform real-time data acquisition from a set of sensors.