R&D on crystalline silicon technology: From metallurgical silicon to the PV module

Founded by Antonio Luque in 1979 Personnel: Personnel: 6464 full full-time time staff (19 professors staff (19 professors, 44 PhD PhD researchers 28 PhD students 13 researchers, 28 PhD students, 13 administrative and maintenance staff), 19 “part time” (11 “external PhD students”, 8 master students) Objective: Objective: Contribute to the deployment of Photovoltaic Solar Electricity through R&D& Contribute to the deployment of Photovoltaic Solar Electricity through R&D&i

A Porposal: "Agro-ERASMUS"

The rural population is getting smaller as percentage of the total population in the countries. There is a constant depopulation of rural areas to urban areas. The most extreme data are in countries like USA, where the rural population is 1.5%, from which 1% of that amount is part time and only 0.5% full time. On the other side, we have countries with more than 50% rural population. Related to training, cultural development, business and specific weight in society, rural residents have no significance in their societies. As they are few, and separated across the territory they have no influence on their societies. Comparing the USA farmer with one from the EU, we see that the American one is a businessperson and the European one, in most cases is a farm worker. To reduce this gap between these different farmers, we believe that we must train the new generations of children belonging to farming Europe. They must have a common language, English; they must know other countries culture and farming systems, live and network with other young Europeans colleagues,future young farmers. It is what we have coined as AGRO-ERASMUS. A project to be placed within the EU Common Agriculture Policies. The project must be designed before its implementation. Even some previous experience should make better viability. It should make use of a network of agricultural universities in several European countries. Each university would build a "farm school" where young people would learn "English?, and visit and work in small agricultural practices with a correct use of the time. One important subject dealing with should be agribusiness. The procedure based on the ?Farm School? (F-S) experience, should start with young people from 13 years up to 18 years. Their attendance, every summer, to the F-S should be rotated between different countries besides their own. The first and second year, with young people 13/14 years old, the Farm School would last less than three weeks in an English speaking country (Ireland, UK or someone else). They should live with a local family the time they stay outside of the Farm School (F-S). This two years period must be devoted to learn and become familiar with the English language and cultural differences. The rest of the four years left, the Farm Schools will have longer duration and be placed in other countries from the network. The living way would be in multinational teams of young people where the only spoken language would be English. After six years of summer oexistence speaking English and learning new competences and skills with colleagues from other countries, we would have a great team of young and future European farmers, able to travel free and confident through the whole Europe and ready to be engaged in productive, commercial and research activities. These new young farmers may revive European agriculture and would not look any more like rural habitants, but international business-farmers, professionally speaking. In a brief survey among the assistants to the Fifth International Academic Conference titled "Alternative Income Sources in Small Agricultural Holdings of the European Union" held in Krakow (PL) in June 2015, participants from universities and countries like Poland, Hungary, Rep. Czech, Portugal, Romania, etc., expressed the necessity of addressing this problem in a new and bold way.

Multiple Hashing Integration for Real-Time Large Scale Part-to-Part Video Matching

A real-time large scale part-to-part video matching algorithm, based on the cross correlation of the intensity of motion curves, is proposed with a view to originality recognition, video database cleansing, copyright enforcement, video tagging or video result re-ranking. Moreover, it is suggested how the most representative hashes and distance functions - strada, discrete cosine transformation, Marr-Hildreth and radial - should be integrated in order for the matching algorithm to be invariant against blur, compression and rotation distortions: (R; _) 2 [1; 20]_[1; 8], from 512_512 to 32_32pixels2 and from 10 to 180_. The DCT hash is invariant against blur and compression up to 64x64 pixels2. Nevertheless, although its performance against rotation is the best, with a success up to 70%, it should be combined with the Marr-Hildreth distance function. With the latter, the image selected by the DCT hash should be at a distance lower than 1.15 times the Marr-Hildreth minimum distance.