One or two poles of attraction in the international technological cooperation process?

In recent years, international cooperation processes have become a key mechanism for companies to internationalise their innovative activities, par ticularly in the case of small businesses whose size reduces their possibilities of developing internationalisation strategies autonomously in the same way as larger companies. In Spain, the existence of two parallel programmes with similar structures oriented towards Europe (EUREKA) and Latin America (IBEROEKA) raises the question as to whether the fact that companies participate in only one (unipolar) or both (bipolar) of these programmes is the result of a selection process, which, in turn, results in the existence of different collectives with different efficiency parameters. The aim of this study is to provide a comparative analysis based on the final reports of Spanish companies that have participated in the EUREKA programme. Two groups of companies were compared: one comprising companies that have only had international experience in Europe (EUREKA); and another formed by companies that have also carried out IBEROEKA projects. The conclusions confirm that the behaviour of both groups of companies differs substantially and reveal the importance of geographical perspective in the analysis of international cooperation in technology. This disparate behaviour is a relevant aspect that must be taken into account when designing policies to promote international technological cooperation.

Investigations on the distribution of air transport traffic and CO2 emissions within the European Union

This study analyses the structure of air traffic and its distribution among the different countries in the European Union, as well as traffic with an origin or destination in non-EU countries. Data sources are Eurostat statistics and actual flight information from EUROCONTROL. Relevant variables such as the number of flights, passengers or cargo tonnes and production indicators (RPKs) are used together with fuel consumption and CO2 emissions data. The segmentation of air traffic in terms of distance permits an assessment of air transport competition with surface transport modes. The results show a clear concentration of traffic in the five larger countries (France, Germany, Italy, Spain and UK), in terms of RPKs. In terms of distance the segment between 500 and 1000 km in the EU, has more flights, passengers, RTKs and CO2 emissions than larger distances. On the environmental side, the distribution of CO2 emissions within the EU Member States is presented, together with fuel efficiency parameters. In general, a direct relationship between RPKs and CO2 emissions is observed for all countries and all distance bands. Consideration is given to the uptake of alternative fuels. Segmenting CO2 emissions per distance band and aircraft type reveals which flights contribute the most the overall EU CO2 emissions. Finally, projections for future CO2 emissions are estimated, according to three different air traffic growth and biofuel introduction scenarios.

Scalable UWB photonic generator based on the combination of doublet pulses

We propose and experimentally demonstrate a scalable and reconfigurable optical scheme to generate high order UWB pulses. Firstly, various ultra wideband doublets are created through a process of phase-tointensity conversion by means of a phase modulation and a dispersive media. In a second stage, doublets are combined in an optical processing unit that allows the reconfiguration of UWB high order pulses. Experimental results both in time and frequency domains are presented showing good performance related to the fractional bandwidth and spectral efficiency parameters.

Investigación sobre tratamientos de aguas seguros en emergencias

Esta Tesis Doctoral tiene como principal objetivo el obtener una cadena de tratamientos seguros de aguas seriados que nos permita asegurar la calidad de las aguas para consumo humano en caso de emergencias, de tal forma que se minimicen los efectos de acciones hostiles, como sabotajes o actos terroristas, desastres naturales, etc y buscar soluciones adecuadas para garantizar en este caso la salud. Las plantas de tratamientos de aguas existentes comercialmente no aseguran dicha calidad y la documentación sobre el tema presenta vacíos de conocimiento, contradicciones entre resultados de investigaciones o insostenibilidad de conclusiones de las mismas. Estas carencias nos permiten determinar los aspectos a tratar durante la investigación. Por ello, este objetivo se concretó en tres acciones: Investigar sobre rendimientos de plantas convencionales en eliminación de microorganismos y productos tóxicos y peligrosos. Introducir mejoras que garanticen el rendimiento de las plantas convencionales. Investigar sobre la conveniencia de complementar las instalaciones existentes buscando seguridad y garantía sanitaria. Y se desarrollaron tres líneas de investigación: LI 1 “Inorgánicos”: Investigación sobre la eliminación de los metales boro, cobre y molibdeno mediante procesos de intercambio iónico y de coagulaciónfloculación- decantación. LI 2 “Compuestos Orgánicos Volátiles”: Investigación sobre la eliminación de los compuestos orgánicos 1,1 dicloroetano, 1,2 dicloroetano, clorobenceno, 1,3 dicloropropeno y hexacloro 1,3 butadieno mediante procesos de carbón activo granular y de oxidación avanzada. LI 3 “Plantas portátiles”: Investigación sobre plantas existentes portátiles para verificar su rendimiento teórico y proponer mejoras. Estas líneas de investigación se desarrollaron tanto en el nivel teórico como en el empírico, bien sea en laboratorio como en campo. A lo largo del documento se demuestra que las principales fuentes de contaminación, salvo la degradación de yacimientos naturales, proceden de la actividad humana (efluentes industriales y agrícolas, aguas residuales y actividades beligerantes) que provocan un amplio espectro de enfermedades por lo que dificultan tanto la definición de la fuente como la anticipada detección de la enfermedad. Las principales conclusiones que se obtuvieron están relacionadas con el rendimiento de eliminación de los parámetros tras la aplicación de los procesos y plantas de tratamiento de aguas anteriormente reseñadas. Sin embargo, el verdadero elemento designador de originalidad de esta Tesis Doctoral, tal como se ha reseñado arriba, radica en la definición de un sistema seriado de procesos de tratamiento de aguas que asegura la calidad en caso de emergencia. Éste se define en el siguiente orden: pretratamiento, oxidación, coagulación-floculación-decantación, filtración por arena, intercambio iónico, carbón activo granular, microfiltración, radiación UV, ósmosis inversa, radiación UV y cloración final. The main objective of this Thesis is to obtain a chain of stepwise safe water treatments that allow us to ensure the quality of water for human consumption in case of emergencies, so that the effects of hostile actions, such as sabotage or terrorism, natural disasters, etc. and seek appropriate solutions in this case to ensure health. The existing commercial water treatment plants do not ensure quality, and the documentation on the subject presents knowledge gaps or contradictions. These gaps allow us to determine the issues to be discussed during the investigation. Therefore, this objective was manifested in three actions: Researching yields in commercial plants and microorganisms, or toxic and dangerous products removal. Improvements to ensure the performance of conventional plants. Inquire about the advisability of implementing existing facilities for safety and health guarantee. And three lines of research are developed: LI 1 “Inorganic elements”: Research removing metals iron, copper and molybdenum by ion exchange processes and coagulation-flocculation-decantation. LI 2 “Volatile Organic Compounds”: Research removing organic compounds 1,1 dichloroethane, 1,2 dichloroethane, chlorobenzene, 1,3-dichloropropene and 1,3-butadiene hexachloro through processes of granular activated carbon and advanced oxidation. LI 3 “Compact Water Treatment Plants”: Research on existing packaged plants to verify theoretical performance and suggest improvements. These lines of research are developed both theoretically and empirically, both in the laboratory and in the field. Throughout the document, it is evident that the main sources of pollution, other than the degradation of natural deposits, come from human activity (industrial and agricultural effluents, sewage and belligerent activities) which cause a broad spectrum of diseases which hamper both the definition of the source and the early detection of the disease. The main conclusions drawn are related to both the removal efficiency parameters after application of processes and treatment plants outlined above water. However, the real designator of originality of this thesis, such as outlined above, lies in the definition of a serial system water treatment processes assuring quality in case of emergency. This is defined in the following order: pretreatment, oxidation, coagulation-flocculation-sedimentation, sand filtration, ion exchange, granular activated carbon, microfiltration, UV radiation, reverse osmosis, UV radiation and final chlorination.

A method to obtain the thermal parameters and the photothermal transduction efficiency in an optical hyperthermia device based on laser irradiation of gold nanoparticles

Optical hyperthermia systems based on the laser irradiation of gold nanorods seem to be a promising tool in the development of therapies against cancer. After a proof of concept in which the authors demonstrated the efficiency of this kind of systems, a modeling process based on an equivalent thermal-electric circuit has been carried out to determine the thermal parameters of the system and an energy balance obtained from the time-dependent heating and cooling temperature curves of the irradiated samples in order to obtain the photothermal transduction efficiency. By knowing this parameter, it is possible to increase the effectiveness of the treatments, thanks to the possibility of predicting the response of the device depending on the working configuration. As an example, the thermal behavior of two different kinds of nanoparticles is compared. The results show that, under identical conditions, the use of PEGylated gold nanorods allows for a more efficient heating compared with bare nanorods, and therefore, it results in a more effective therapy.

Quantum dot parameters determination from quantum-efficiency measurements

The energy spectrum of the confined states of a quantum dot intermediate band (IB) solar cell is calculated with a simplified model. Two peaks are usually visible at the lowest energy side of the subbandgap quantum-efficiency spectrum in these solar cells. They can be attributed to photon absorption between well-defined states. As a consequence, the horizontal size of the quantum dots can be determined, and the conduction (valence) band offset is also determined if the valence (conduction) offset is known.

Use of camera trapping in determining Iberian lynx population parameters: The use area and its limitations

Below are the results of the survey of the Iberian lynx obtained with camera-trapping between 2000 and 2007 in Sierra Morena. Two very important aspects of camera-trapping concerning its efficiency are also analyzed. The first is the evolution along years according to the camera-trapping type used of two efficiency indicators. The results obtained demonstrate that the most efficient lure is rabbit, though it is the less proven (92 trap-nights), followed by camera-trapping in the most frequent marking places (latrines). And, we propose as a novel the concept of use area as a spatial reference unit for the camera-trapping monitoring of non radio-marked animals is proposed, and its validity discussed.

On the efficiency of a dedicated LMA for multicast traffic distribution in PMIPv6 domains

IP multicast allows the efficient support of group communication services by reducing the number of IP flows needed for such communication. The increasing generalization in the use of multicast has also triggered the need for supporting IP multicast in mobile environments. Proxy Mobile IPv6 (PMIPv6) is a network-based mobility management solution, where the functionality to support the terminal movement resides in the network. Recently, a baseline solution has been adopted for multicast support in PMIPv6. Such base solution has inefficiencies in multicast routing because it may require multiple copies of a single stream to be received by the same access gateway. Nevertheless, there is an alternative solution to support multicast in PMIPv6 that avoids this issue. This paper evaluates by simulation the scalability of both solutions under realistic conditions, and provides an analysis of the sensitivity of the two proposals against a number of parameters.

Progress on optimization of the solar cell fabrication process by impurity-to-efficiency predictive simulator

To optimize the last high temperature step of a standard solar cell fabrication process (the contact cofiring step), the aluminium gettering is incorporated in the Impurity-to-Efficiency simulation tool, so that it models the phosphorus and aluminium co-gettering effect on iron impurities. The impact of iron on the cell efficiency will depend on the balance between precipitate dissolution and gettering. Gettering efficiency is similar in a wide range of peak temperatures (600-850 ºC), so that this peak temperature can be optimized favoring other parameters (e.g. ohmic contact). An industrial co-firing step can enhance the co-gettering effect by adding a temperature plateau after the peak of temperature. For highly contaminated materials, a short plateau (menor que 2 min) at low temperature (600 ºC) is shown to reduce the dissolved iron.

A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers

High-Performance Computing, Cloud computing and next-generation applications such e-Health or Smart Cities have dramatically increased the computational demand of Data Centers. The huge energy consumption, increasing levels of CO2 and the economic costs of these facilities represent a challenge for industry and researchers alike. Recent research trends propose the usage of holistic optimization techniques to jointly minimize Data Center computational and cooling costs from a multilevel perspective. This paper presents an analysis on the parameters needed to integrate the Data Center in a holistic optimization framework and leverages the usage of Cyber-Physical systems to gather workload, server and environmental data via software techniques and by deploying a non-intrusive Wireless Sensor Net- work (WSN). This solution tackles data sampling, retrieval and storage from a reconfigurable perspective, reducing the amount of data generated for optimization by a 68% without information loss, doubling the lifetime of the WSN nodes and allowing runtime energy minimization techniques in a real scenario.

Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function

Due to the high dependence of photovoltaic energy efficiency on environmental conditions (temperature, irradiation...), it is quite important to perform some analysis focusing on the characteristics of photovoltaic devices in order to optimize energy production, even for small-scale users. The use of equivalent circuits is the preferred option to analyze solar cells/panels performance. However, the aforementioned small-scale users rarely have the equipment or expertise to perform large testing/calculation campaigns, the only information available for them being the manufacturer datasheet. The solution to this problem is the development of new and simple methods to define equivalent circuits able to reproduce the behavior of the panel for any working condition, from a very small amount of information. In the present work a direct and completely explicit method to extract solar cell parameters from the manufacturer datasheet is presented and tested. This method is based on analytical formulation which includes the use of the Lambert W-function to turn the series resistor equation explicit. The presented method is used to analyze commercial solar panel performance (i.e., the current-voltage–I-V–curve) at different levels of irradiation and temperature. The analysis performed is based only on the information included in the manufacturer’s datasheet.

Explicit expressions for solar panel equivalent circuit parameters based on analytical formulation and the Lambert W - Function

Due to the high dependence of photovoltaic energy efficiency on environmental conditions (temperature, irradiation...), it is quite important to perform some analysis focusing on the characteristics of photovoltaic devices in order to optimize energy production, even for small-scale users. The use of equivalent circuits is the preferred option to analyze solar cells/panels performance. However, the aforementioned small-scale users rarely have the equipment or expertise to perform large testing/calculation campaigns, the only information available for them being the manufacturer datasheet. The solution to this problem is the development of new and simple methods to define equivalent circuits able to reproduce the behavior of the panel for any working condition, from a very small amount of information. In the present work a direct and completely explicit method to extract solar cell parameters from the manufacturer datasheet is presented and tested. This method is based on analytical formulation which includes the use of the Lambert W-function to turn the series resistor equation explicit. The presented method is used to analyze the performance (i.e., the I - V curve) of a commercial solar panel at different levels of irradiation and temperature. The analysis performed is based only on the information included in the manufacturer's datasheet.

New method for analytical photovoltaic parameters identification: meeting manufacturer’s datasheet for different ambient conditions

At present, photovoltaic energy is one of the most important renewable energy sources. The demand for solar panels has been continuously growing, both in the industrial electric sector and in the private sector. In both cases the analysis of the solar panel efficiency is extremely important in order to maximize the energy production. In order to have a more efficient photovoltaic system, the most accurate understanding of this system is required. However, in most of the cases the only information available in this matter is reduced, the experimental testing of the photovoltaic device being out of consideration, normally for budget reasons. Several methods, normally based on an equivalent circuit model, have been developed to extract the I-V curve of a photovoltaic device from the small amount of data provided by the manufacturer. The aim of this paper is to present a fast, easy, and accurate analytical method, developed to calculate the equivalent circuit parameters of a solar panel from the only data that manufacturers usually provide. The calculated circuit accurately reproduces the solar panel behavior, that is, the I-V curve. This fact being extremely important for practical reasons such as selecting the best solar panel in the market for a particular purpose, or maximize the energy extraction with MPPT (Maximum Peak Power Tracking) methods.

A clustering technique for partial discharge and noise sources identification in power cables by means of waveform parameters

On-line partial discharge (PD) measurements have become a common technique for assessing the insulation condition of installed high voltage (HV) insulated cables. When on-line tests are performed in noisy environments, or when more than one source of pulse-shaped signals are present in a cable system, it is difficult to perform accurate diagnoses. In these cases, an adequate selection of the non-conventional measuring technique and the implementation of effective signal processing tools are essential for a correct evaluation of the insulation degradation. Once a specific noise rejection filter is applied, many signals can be identified as potential PD pulses, therefore, a classification tool to discriminate the PD sources involved is required. This paper proposes an efficient method for the classification of PD signals and pulse-type noise interferences measured in power cables with HFCT sensors. By using a signal feature generation algorithm, representative parameters associated to the waveform of each pulse acquired are calculated so that they can be separated in different clusters. The efficiency of the clustering technique proposed is demonstrated through an example with three different PD sources and several pulse-shaped interferences measured simultaneously in a cable system with a high frequency current transformer (HFCT).