Analytical study and evaluation results of power optimizers for distributed power conditioning in PV arrays

The use of modular or ‘micro’ maximum power point tracking (MPPT) converters at module level in series association, commercially known as “power optimizers”, allows the individual adaptation of each panel to the load, solving part of the problems related to partial shadows and different tilt and/or orientation angles of the photovoltaic (PV) modules. This is particularly relevant in building integrated PV systems. This paper presents useful behavioural analytical studies of cascade MPPT converters and evaluation test results of a prototype developed under a Spanish national research project. On the one hand, this work focuses on the development of new useful expressions which can be used to identify the behaviour of individual MPPT converters applied to each module and connected in series, in a typical grid-connected PV system. On the other hand, a novel characterization method of MPPT converters is developed, and experimental results of the prototype are obtained: when individual partial shading is applied, and they are connected in a typical grid connected PV array

Design and Optimization of Power Delivery and Distribution Systems Using Evolutionary Computation Techniques

Nowadays computing platforms consist of a very large number of components that require to be supplied with diferent voltage levels and power requirements. Even a very small platform, like a handheld computer, may contain more than twenty diferent loads and voltage regulators. The power delivery designers of these systems are required to provide, in a very short time, the right power architecture that optimizes the performance, meets electrical specifications plus cost and size targets. The appropriate selection of the architecture and converters directly defines the performance of a given solution. Therefore, the designer needs to be able to evaluate a significant number of options in order to know with good certainty whether the selected solutions meet the size, energy eficiency and cost targets. The design dificulties of selecting the right solution arise due to the wide range of power conversion products provided by diferent manufacturers. These products range from discrete components (to build converters) to complete power conversion modules that employ diferent manufacturing technologies. Consequently, in most cases it is not possible to analyze all the alternatives (combinations of power architectures and converters) that can be built. The designer has to select a limited number of converters in order to simplify the analysis. In this thesis, in order to overcome the mentioned dificulties, a new design methodology for power supply systems is proposed. This methodology integrates evolutionary computation techniques in order to make possible analyzing a large number of possibilities. This exhaustive analysis helps the designer to quickly define a set of feasible solutions and select the best trade-off in performance according to each application. The proposed approach consists of two key steps, one for the automatic generation of architectures and other for the optimized selection of components. In this thesis are detailed the implementation of these two steps. The usefulness of the methodology is corroborated by contrasting the results using real problems and experiments designed to test the limits of the algorithms.

DBpedia spotlight: shedding light on the web of documents

Interlinking text documents with Linked Open Data enables the Web of Data to be used as background knowledge within document-oriented applications such as search and faceted browsing. As a step towards interconnecting the Web of Documents with the Web of Data, we developed DBpedia Spotlight, a system for automatically annotating text documents with DBpedia URIs. DBpedia Spotlight allows users to congure the annotations to their specic needs through the DBpedia Ontology and quality measures such as prominence, topical pertinence, contextual ambiguity and disambiguation condence. We compare our approach with the state of the art in disambiguation, and evaluate our results in light of three baselines and six publicly available annotation systems, demonstrating the competitiveness of our system. DBpedia Spotlight is shared as open source and deployed as a Web Service freely available for public use.

DBpedia Spotlight: Shedding Light on the Web of Documents

Interlinking text documents with Linked Open Data enables the Web of Data to be used as background knowledge within document-oriented applications such as search and faceted browsing. As a step towards interconnecting the Web of Documents with the Web of Data, we developed DBpedia Spotlight, a system for automatically annotating text documents with DBpedia URIs. DBpedia Spotlight allows users to configure the annotations to their specific needs through the DBpedia Ontology and quality measures such as prominence, topical pertinence, contextual ambiguity and disambiguation confidence. We compare our approach with the state of the art in disambiguation, and evaluate our results in light of three baselines and six publicly available annotation systems, demonstrating the competitiveness of our system. DBpedia Spotlight is shared as open source and deployed as a Web Service freely available for public use.

Linked Opinions: Describing Sentiments on the Structured Web of Data

In the paper we report on the results of our experiments on the construction of the opinion ontology. Our aim is to show the benefits of publishing in the open, on the Web, the results of the opinion mining process in a structured form. On the road to achieving this, we attempt to answer the research question to what extent opinion information can be formalized in a unified way. Furthermore, as part of the evaluation, we experiment with the usage of Semantic Web technologies and show particular use cases that support our claims.

Análisis bibliométrico de las publicaciones científicas colombianas en la categoría Engineering, Multidisciplinary en la base de datos del Web of Science (1997-2009)

El trabajo ha caracterizado el área de Engineering, Multidisciplinary en Colombia, revisándose a nivel institucional a través de la base de datos Web of Science, los trabajos realizados por investigadores en universidades colombianas, y publicados en revistas internacionales con factor de impacto entre 1997 y 2009. En el contexto de América Latina se han publicado 2, 195 trabajos del tipo artículo o revisión en 83 revistas, y a nivel de Colombia se han encontrado 419 artículos publicados en 23 revistas. También se han analizado las Universidades mediante indicadores bibliométricos (Factor de Impacto Ponderado y Relativo y el número medio de citas por documento), encontrándose toda la producción científica localizada en 37 Universidades y destacando la Universidad Nacional de Colombia por el número de documentos, la Universidad Pontificia Bolivariana por la ratio citas frente a documentos, y la Universidad Pedagógica y Tecnológica de Colombia por el Factor de Impacto.

Análisis bibliométrico de las publicaciones científicas mexicanas en la categoría de Engineering, Chemical en la base de datos del Web of Science (1997-2008)

El proposito del trabajo ha sido caracterizar el área de Ingeniería Química en México. Para ello, se ha revisado a nivel institucional, a través de la base de datos Web of Science (WoS), los trabajos sobre Ingeniería Química realizados por investigadores en Instituciones mexicanas y publicados en revistas internacionales con factor de impacto entre 1997 y 2008. Se ha partido del contexto de América Latina, donde se han publicado 6,183 trabajos del tipo artículo o revisión en 119 revistas, y a nivel de México se han encontrado 1,302 artículos publicados en 87 revistas la mayoría en inglés (96.08%), pero también en español (3.69%) y en francés (0.23%). Por otro lado, se han analizado las Universidades y Centros de Investigación desde el punto de vista cuantitativo y cualitativo mediante diversos indicadores bibliométricos como el Factor de Impacto Ponderado, el Factor de Impacto Relativo y la relación entre el número de citas y el número de documentos, encontrándose que de entre las cinco instituciones más productivas destaca el Instituto Mexicano del Petróleo por el número de documentos y la Universidad Nacional Autónoma de México por la relación citas frente a documentos, y por el Factor de Impacto Ponderado.

Análisis bibliométrico de las publicaciones científicas españolas en la categoría Construction & Building Technology de la base de datos Web of Science (1997-2008)

En este trabajo se analizan las publicaciones procedentes de instituciones españolas recogidas en las revistas de la categoría Construction & Building Technology de la base de datos Web of Science para el periodo 1997-2008. El número de revistas incluidas es de 35 y el número de artículos publicados ha sido de 760 (Article o Review). Se ha realizado una evaluación bibliométrica con dos nuevos parámetros: Factor de Impacto Ponderado y Factor de Impacto Relativo; asimismo se incluyen el número de citas y el número de documentos a nivel institucional. Entre los centros con una mayor producción científica destaca, como era de prever, el Instituto de Ciencias de la Construcción Eduardo Torroja (CSIC), mientras que atendiendo al Factor de Impacto Ponderado ocupa el primer lugar la Universidad de Vigo. Por otro lado, sólo dos revistas Cement and Concrete Research y Materiales de Construcción aglutinan el 45.26% de toda la producción científica española, con 172 trabajos cada una de ellas. En cuanto a la colaboración internacional, destacan países como Inglaterra, México, Estados Unidos, Italia, Argentina y Francia

Análisis bibliométrico de las publicaciones científicas uruguayas en la categoría Engineering, Chemical en la base de datos Web of Science (1997-2008)

El prop´osito del trabajo ha sido caracterizar el ´area de Ingenier´ıa Qu´ımica en M´exico. Para ello, se ha revisado a nivel institucional, a trav´es de la base de datos Web of Science (WoS), los trabajos sobre Ingenier´ıa Qu´ımica realizados por investigadores en Instituciones mexicanas y publicados en revistas internacionales con factor de impacto entre 1997 y 2008. Se ha partido del contexto de Am´erica Latina, donde se han publicado 6,183 trabajos del tipo art´ıculo o revisi´on en 119 revistas, y a nivel de M´exico se han encontrado 1,302 art´ıculos publicados en 87 revistas la mayor´ıa en ingl´es (96.08%), pero tambi´en en espa˜nol (3.69%) y en franc´es (0.23%). Por otro lado, se han analizado las Universidades y Centros de Investigaci´on desde el punto de vista cuantitativo y cualitativo mediante diversos indicadores bibliom´etricos como el Factor de Impacto Ponderado, el Factor de Impacto Relativo y la relaci´on entre el n´umero de citas y el n´umero de documentos, encontr´andose que de entre las cinco instituciones m´as productivas destaca el Instituto Mexicano del Petr´oleo por el n´umero de documentos y la Universidad Nacional Aut´onoma de M´exico por la relaci´on citas frente a documentos, y por el Factor de Impacto Ponderado

Análisis bibliométrico de las publicaciones científicas argentinas en la categoría Agriculture, Multidisciplinary en la base de datos del Web of Science (1997-2009)

El propósito del trabajo ha sido caracterizar el área de Agriculture, Multidisciplinary en Argentina, revisándose a nivel institucional, a través de la base de datos Web of Science, los trabajos realizados por investigadores en Instituciones argentinas y publicados en revistas internacionales con factor de impacto entre 1997 y 2009. En el contexto deAmérica Latina, se han publicado 7795 trabajos de todos los tipos documentales y 7622 del tipo artículo o revisión en 49 revistas, y a nivel de Argentina se han encontrado 531 artículos o revisiones publicados en 31 revistas, la mayoría en inglés (80,23%), pero también en español (15,25%) y en portugués (4,33%). Por otro lado, se han analizado las Instituciones desde el punto de vista cuantitativo y cualitativo mediante diversos indicadores bibliométricos, como el Factor de Impacto Ponderado, el Factor de Impacto Relativo y la ratio número de citas frente a número de documentos, encontrándose que entre las instituciones más productivas destacan el Consejo Nacional de Investigaciones Científicas y Técnicas por el número de documentos y el Centro de Investigación y Desarrollo en Criotecnología de Alimentos por el Factor de Impacto Ponderado y por la ratio citas frente a documentos. Se observa una escasa colaboración internacional.

Cross-lingual Linking on the Multilingual Web of Data (position statement)

Recently, the Semantic Web has experienced signi�cant advancements in standards and techniques, as well as in the amount of semantic information available online. Even so, mechanisms are still needed to automatically reconcile semantic information when it is expressed in di�erent natural languages, so that access to Web information across language barriers can be improved. That requires developing techniques for discovering and representing cross-lingual links on the Web of Data. In this paper we explore the different dimensions of such a problem and reflect on possible avenues of research on that topic.

Challenges for the Multilingual Web of Data

The Web has witnessed an enormous growth in the amount of semantic information published in recent years. This growth has been stimulated to a large extent by the emergence of Linked Data. Although this brings us a big step closer to the vision of a Semantic Web, it also raises new issues such as the need for dealing with information expressed in different natural languages. Indeed, although the Web of Data can contain any kind of information in any language, it still lacks explicit mechanisms to automatically reconcile such information when it is expressed in different languages. This leads to situations in which data expressed in a certain language is not easily accessible to speakers of other languages. The Web of Data shows the potential for being extended to a truly multilingual web as vocabularies and data can be published in a language-independent fashion, while associated language-dependent (linguistic) information supporting the access across languages can be stored separately. In this sense, the multilingual Web of Data can be realized in our view as a layer of services and resources on top of the existing Linked Data infrastructure adding i) linguistic information for data and vocabularies in different languages, ii) mappings between data with labels in different languages, and iii) services to dynamically access and traverse Linked Data across different languages. In this article we present this vision of a multilingual Web of Data. We discuss challenges that need to be addressed to make this vision come true and discuss the role that techniques such as ontology localization, ontology mapping, and cross-lingual ontology-based information access and presentation will play in achieving this. Further, we propose an initial architecture and describe a roadmap that can provide a basis for the implementation of this vision.

Cross‐lingual link discovery in the Web of Data

Cross‐lingual link discovery in the Web of Data

What is the current state of the Multilingual Web of Data?

The Semantic Web is growing at a fast pace, recently boosted by the creation of the Linked Data initiative and principles. Methods, standards, techniques and the state of technology are becoming more mature and therefore are easing the task of publication and consumption of semantic information on the Web.

A Development Methodology to Facilitate the Integration of Smart Spaces into the Web of Things

How to create or integrate large Smart Spaces (considered as mash-ups of sensors and actuators) into the paradigm of ?Web of Things? has been the motivation of many recent works. A cutting-edge approach deals with developing and deploying web-enabled embedded devices with two major objectives: 1) to integrate sensor and actuator technologies into everyday objects, and 2) to allow a diversity of devices to plug to Internet. Currently, developers who want to use this Internet-oriented approach need have solid understanding about sensorial platforms and semantic technologies. In this paper we propose a Resource-Oriented and Ontology-Driven Development (ROOD) methodology, based on Model Driven Architecture (MDA), to facilitate to any developer the development and deployment of Smart Spaces. Early evaluations of the ROOD methodology have been successfully accomplished through a partial deployment of a Smart Hotel.