Big data solar power forecasting based on deep learning and multiple data sources

In this paper, we consider the task of predicting the electricity power generated by photovoltaic solar systems for the next day at half‐hourly intervals. We introduce DL, a deep learning approach based on feed‐forward neural networks for big data time series, which decomposes the forecasting problem into several sub‐problems. We conduct a comprehensive evaluation using 2 years of Australian solar data, evaluating accuracy and training time, and comparing the performance of DL with two other advanced methods based on neural networks and pattern sequence similarity. We investigate the use of multiple data sources (solar power and weather data for the previous days, and weather forecast for the next day) and also study the effect of different historical window sizes. The results show that DL produces competitive accuracy results and scales well, and is thus a highly suitable method for big data environments.     

Development and performance evaluation of a new RSS tool for a Web-based system: RSS_PROYECT

The aim of this paper is the development, implementation and subsequent performance evaluation of an innovative tool called RSS_PROYECT, based on the RSS technology for content syndication. At the present, there are several Web content syndicators; although there is no one so far specifically designed for the search of news related to women in risk of social exclusion. They do not even have the characteristics and configuration level of the program syndicator RSS_PROYECT, presented in this paper.To obtain these contents, we used 2 filters (generic and selective), set up by the administrator from the module RSS_PROYECT installed in Joomla!. The generic filter allowed us to do a search of the words included in a series of sources indexed by the user. This filter showed all the sources that contained this word, without exception. In the selective filter, the condition on which the sources would appear would be that all the words of the selective filter were contained in the source.We used different languages such as PHP, MySQL, HTML, XML and Joomla's! Application Program Interface (API). Furthermore, we used the program, Firebug to measure the response speed of the module, both with the selective and generic filters. The results were favorable for the selective filter, and very favorable for the generic filter, concluding that the processing time was short and executed efficiently. Better average times were obtained for RSS_PROYECT with respect to other modules analysed in Joomla!. Nowadays, this tool is used by the Comprehensive Center for Women’s Help (Centro Integral de Ayuda a la Mujer, CIAM) of Valladolid, Spain.     

Modeling and parameter extraction of test fixtures for MOSFET on‐wafer measurements up to 60 GHz

We present a circuit model and parameter determination methodology for test fixtures used for on‐wafer S‐parameter measurements on CMOS devices. The model incorporates the frequency dependence of the series resistances and inductances due to the skin effect occurring in the metal pads. Physically based representations for this effect allow for excellent theory‐experiment correlations for different dummy structures, as well as when de‐embedding transistor measurements up to 60 GHz. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE 23: 655–661, 2013.     

Ubiquitous monitoring and assessment of childhood obesity

Childhood obesity is a significant health problem in current societies that is increasing at an alarming way among population of all ages. To date, studies on the effectiveness of treatments for childhood obesity in the medium and long term suggest a moderate effect on weight loss and maintenance, which has led to suggestions that early interventions have a preventive nature on adult obesity. The long-term recovery of the weight lost is often associated with a lack of adherence to recommendations for changing life habits. Then, obesity becomes a chronic problem, difficult to approach, and the main difficulty lies in promoting and ensuring adherence to a change in lifestyle. A system known as ETIOBE has been developed to improve the treatment adherence, to promote the mechanisms of self-control in patients and to prevent relapses. An important part of the ETIOBE system is the ubiquitous monitoring platform since it enables the clinician to obtain relevant information from patients (contextual, physiological and psychological), which enables treatment customization and adaptation, depending on the patient’s evolution. The aim of this paper is to describe the monitoring platform which is intended to establish a sensor network whose focus is the obese children under clinical treatment, and the various elements that compose it: electronic PDA records to establish diet habits, HAS: home ambulatory system (data integration of biomedical devices; blood pressure to study hypertension; pulse oximeter to detect Sleep Disorders; and electronic t-shirt to detect physical activity). This paper presents the first validations of the electronic PDA records and the electronic t-shirt. These validations suggest that the monitoring platform can help to achieve the goals previously mentioned, by offering constant support and increasing motivation to change.     

Application of a mathematical model to the study of the glass transition temperature in polymer electrolyte precursor systems

To the purpose of studying the effect of composition on the glass transition temperature (Tg) of a series of polymer electrolytes based on blends of polyethylene oxide (PEO), poly(octafluoropentoxytrifluoroethoxy)phosphazene (PPz) and poly(epichlorhydrine), a mathematical model was applied to results obtained through DSC determination using seven ternary blends selected by an experimental design. The parameters of the model were chosen by means of stepwise linear regression method. The final model proved to be appropriate (R² = 0.997; s = 0.99 K) to predict the Tg values. From a structural point of view it was found that the lowest Tg values were obtained for the blends containing the smallest PECH portion. Received: 18 November 1996/Revised: 2 December 1996/Accepted: 3 December 1996     

A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems

Iterative detection and decoding in communication systems with multiple transmitter and receiver antennas suffer from a significant increase in the computational cost and energy consumption. Nowadays, application of specific high-performance computing techniques for signal processing in communication systems is receiving considerable attention. In this paper, we present an accelerated and efficient iterative receiver, which has been implemented following two strategies. First, we reduce the computational cost using parallelized algorithms executed on graphics processing unit. In addition, our receiver allows the selection between two types of detectors with different complexity and performance. The selection can be done to fulfill a given compromise between bit error rate and power consumption.     

Effect of BaF2 Content on Luminescence of Rare‐Earth Ions in Borate and Germanate Glasses

Rare‐earth‐doped oxyfluoride germanate and borate glasses were synthesized and next studied using spectroscopic methods. Influence of fluoride modifier on luminescence properties of rare earths in different glass hosts was examined. The excitation and emission spectra of Pr³⁺ and Er³⁺ ions in the studied glasses were registered. The emission spectra of Pr³⁺ ions in germanate and borate glasses are quite different and depend strongly on the glass host. In samples doped with Er³⁺ ions emission bands located around 1530 nm corresponding to the main ⁴I_13/2→⁴I_15/2 laser transition were registered, independently of the glass host. Quite long‐lived near‐infrared luminescence of Er³⁺ ions was observed for germanate glasses with low BaF₂ content, while in borate glass systems influence of barium fluoride on luminescence lifetimes is not so evident. The Judd–Ofelt calculations were used in order to determine quantum efficiencies of excited states of rare‐earth ions in germanate and borate glasses.     

A report on teaching a series of online lectures on quantum computing from CERN

The Journal of Supercomputing - Quantum computing (QC) is one of the most promising new technologies for High Performance Computing. Its potential use in High Energy Physics has lead CERN, one of...