El análisis de la construcción sin pérdidas (Lean Construction) y su relación con el Project & Construction Management : propuesta de regulación en España y su inclusión en la ley de la ordenación de la edificación

El presente trabajo se basa en la filosofía de la Construcción sin Pérdidas (“Lean Construction”), analizando la situación de esta filosofía en el sector de la edificación en el contexto internacional y español, respondiendo las siguientes preguntas: 1. ¿Cómo surge el “Lean Construction”? 2. ¿Cuáles son sus actividades, funciones y cometidos? 3. ¿Existe regulación del ¨Lean Construction” en otros países? 4. ¿Existe demanda del ¨Lean Construction” en España? 5. ¿Existe regulación del ¨Lean Construction” en España? 6. ¿Cómo debería ser la regulación ¨Lean Construction” en España? 7. ¿Cuál es la relación del “Lean Construction” con el “Project & Construction Management”? 8. ¿Cómo debería ser la regulación de “Lean Construction” en España considerando su relación con el “Project & Construction Management”? Las preguntas indicadas las hemos respondido detalladamente en el presente trabajo, a continuación se resume las respuestas a dichas preguntas: 1. El “Lean Construction” surge en agosto de 1992, cuando el investigador finlandés Lauri Koskela publicó en la Universidad de Stanford el reporte TECHNICAL REPORT N° 72 titulado “Application of the New Production Philosophy to Construction”. Un año más tarde el Dr. Koskela invitó a un grupo de especialistas en construcción al primer workshop de esta materia en Finlandia, dando origen al International Group for Lean Construction (IGLC) lo que ha permitido extender la filosofía a EEUU, Europa, América, Asia, Oceanía y África. “Lean Construction” es un sistema basado en el enfoque “Lean Production” desarrollado en Japón por Toyota Motors a partir de los años cincuenta, sistema que permitió a sus fábricas producir unidades con mayor eficiencia que las industrias americanas, con menores recursos, en menor tiempo, y con un número menor de errores de fabricación. 2. El sistema “Lean Construction” busca maximizar el valor y disminuir las pérdidas de los proyectos generando una coordinación eficiente entre los involucrados, manejando un proyecto como un sistema de producción, estrechando la colaboración entre los participantes de los proyectos, capacitándoles y empoderándoles, fomentando una cultura de cambio. Su propósito es desarrollar un proceso de construcción en el que no hayan accidentes, ni daños a equipos, instalaciones, entorno y comunidad, que se realice en conformidad con los requerimientos contractuales, sin defectos, en el plazo requerido, respetando los costes presupuestados y con un claro enfoque en la eliminación o reducción de las pérdidas, es decir, las actividades que no generen beneficios. El “Last Planner System”, o “Sistema del Último Planificador”, es un sistema del “Lean Construction” que por su propia naturaleza protege a la planificación y, por ende, ayuda a maximizar el valor y minimizar las pérdidas, optimizando de manera sustancial los sistemas de seguridad y salud. El “Lean Construction” se inició como un concepto enfocado a la ejecución de las obras, posteriormente se aplicó la filosofía a todas las etapas del proyecto. Actualmente considera el desarrollo total de un proyecto, desde que nace la idea hasta la culminación de la obra y puesta en marcha, considerando el ciclo de vida completo del proyecto. Es una filosofía de gestión, metodologías de trabajo y una cultura empresarial orientada a la eficiencia de los procesos y flujos. La filosofía “Lean Construction” se está expandiendo en todo el mundo, además está creciendo en su alcance, influyendo en la gestión contractual de los proyectos. Su primera evolución consistió en la creación del sistema “Lean Project Delivery System”, que es el concepto global de desarrollo de proyectos. Posteriormente, se proponen el “Target Value Design”, que consiste en diseñar de forma colaborativa para alcanzar los costes y el valor requerido, y el “Integrated Project Delivery”, en relación con sistemas de contratos relacionales (colaborativos) integrados, distintos a los contratos convencionales. 3. Se verificó que no existe regulación específica del ¨Lean Construction” en otros países, en otras palabras, no existe el agente con el nombre específico de “Especialista en Lean Construction” o similar, en consecuencia, es un agente adicional en el proyecto de la edificación, cuyas funciones y cometidos se pueden solapar con los del “Project Manager”, “Construction Manager”, “Contract Manager”, “Safety Manager”, entre otros. Sin embargo, se comprobó la existencia de formatos privados de contratos colaborativos de Integrated Project Delivery, los cuales podrían ser tomados como unas primeras referencias para futuras regulaciones. 4. Se verificó que sí existe demanda del ¨Lean Construction” en el desarrollo del presente trabajo, aunque aún su uso es incipiente, cada día existe más interesados en el tema. 5. No existe regulación del ¨Lean Construction” en España. 6. Uno de los objetivos fundamentales de esta tesis es el de regular esta figura cuando actúe en un proyecto, definir y realizar una estructura de Agente de la Edificación, según la Ley de Ordenación de la Edificación (LOE), y de esta manera poder introducirla dentro de la Legislación Española, protegiéndola de eventuales responsabilidades civiles. En España existe jurisprudencia (sentencias de los tribunales de justicia españoles) con jurisdicción civil basada en la LOE para absolver o condenar a agentes de la edificación que son definidos en los tribunales como “gestores constructivos” o similares. Por este motivo, en un futuro los tribunales podrían dictaminar responsabilidades solidarias entre el especialista “Lean Construction” y otros agentes del proyecto, dependiendo de sus actuaciones, y según se implemente el “Lean Project Delivery System”, el “Target Value Design” y el “Integrated Project Delivery”. Por otro lado, es posible que el nivel de actuación del especialista “Lean Construcción” pueda abarcar la gestión del diseño, la gestión de la ejecución material (construcción), la gestión de contratos, o la gestión integral de todo el proyecto de edificación, esto último, en concordancia con la última Norma ISO 21500:2012 o UNE-ISO 21500:2013 Directrices para la dirección y gestión de proyectos. En consecuencia, se debería incorporar adecuadamente a uno o más agentes de la edificación en la LOE de acuerdo a sus funciones y responsabilidades según los niveles de actuación del “Especialista en Lean Construction”. Se propone la creación de los siguientes agentes: Gestor del Diseño, Gestor Constructivo y Gestor de Contratos, cuyas definiciones están desarrolladas en este trabajo. Estas figuras son definidas de manera general, puesto que cualquier “Project Manager” o “DIPE”, gestor BIM (Building Information Modeling), o similar, puede actuar como uno o varios de ellos. También se propone la creación del agente “Gestor de la Construcción sin Pérdidas”, como aquel agente que asume las actuaciones del “gestor de diseño”, “gestor constructivo” y “gestor de contratos” con un enfoque en los principios del Lean Production. 7. En la tesis se demuestra, por medio del uso de la ISO 21500, que ambos sistemas son complementarios, de manera que los proyectos pueden tener ambos enfoques y ser compatibilizados. Un proyecto que use el “Project & Construction Management” puede perfectamente apoyarse en las herramientas y técnicas del “Lean Construction” para asegurar la eliminación o reducción de las pérdidas, es decir, las actividades que no generen valor, diseñando el sistema de producción, el sistema de diseño o el sistema de contratos. 8. Se debería incorporar adecuadamente al agente de la edificación “Especialista en Lean Construction” o similar y al agente ¨Especialista en Project & Construction Management” o DIPE en la Ley de Ordenación de la Edificación (LOE) de acuerdo a sus funciones y responsabilidades, puesto que la jurisprudencia se ha basado para absolver o condenar en la referida Ley. Uno de los objetivos fundamentales de esta tesis es el de regular la figura del “Especialista en Lean Construction” cuando actúa simultáneamente con el DIPE, y realizar una estructura de Agente de la Edificación según la LOE, y de esta manera protegerlo de eventuales responsabilidades solidarias. Esta investigación comprueba que la propuesta de definición del agente de edificación DIPE, según la LOE, presentada en la tesis doctoral del Doctor Manuel Soler Severino es compatible con las nuevas definiciones propuestas. El agente DIPE puede asumir los roles de los diferentes gestores propuestos en esta tesis si es que se especializa en dichas materias, o, si lo estima pertinente, recomendar sus contrataciones. ABSTRACT This work is based on the Lean Construction philosophy; an analysis is made herein with regard to the situation of this philosophy in the building sector within the international and Spanish context, replying to the following questions: 1. How did the concept of Lean Construction emerge? 2. Which are the activities, functions and objectives of Lean Construction? 3. Are there regulations on Lean Construction in other countries? 4. Is there a demand for Lean Construction in Spain? 5. Are there regulations on Lean Construction in Spain? 6. How should regulations on Lean Construction be developed in Spain? 7. What is the relationship between Lean Construction and the Project & Construction Management? 8. How should regulations on Lean Construction be developed in Spain considering its relationship with the Project & Construction Management? We have answered these questions in detail here and the replies are summarized as follows: 1. The concept of Lean Construction emerged in august of 1992, when Finnish researcher Lauri Koskela published in Stanford University TECHNICAL REPORT N° 72 entitled “Application of the New Production Philosophy to Construction”. A year later, Professor Koskela invited a group of construction specialists to Finland to the first workshop conducted on this matter; thus, the International Group for Lean Construction (IGLC) was established, which has contributed to extending the philosophy to the United States, Europe, the Americas, Asia, Oceania, and Africa. Lean Construction is a system based on the Lean Production approach, which was developed in Japan by Toyota Motors in the 1950s. Thanks to this system, the Toyota plants were able to produce more units, with greater efficiency than the American industry, less resources, in less time, and with fewer manufacturing errors. 2. The Lean Construction system aims at maximizing the value of projects while reducing waste, producing an effective coordination among those involved; it manages projects as a production system, enhancing collaboration between the parties that participate in the projects while building their capacities, empowering them, and promoting a culture of change. Its purpose is to develop a construction process free of accidents, without damages to the equipment, facilities, environment and community, flawless, in accordance with contractual requirements, within the terms established, respecting budgeted costs, and with a clear approach to eliminating or reducing waste, that is, activities that do not generate benefits. The Last Planner System is a Lean Construction system, which by its own nature protects planning and, therefore, helps to maximize the value and minimize waste, optimizing substantially the safety and health systems. Lean Construction started as a concept focused on the execution of works, and subsequently the philosophy was applied to all the stages of the project. At present it considers the project’s total development, since the time ideas are born until the completion and start-up of the work, taking into account the entire life cycle of the project. It is a philosophy of management, work methodologies, and entrepreneurial culture aimed at the effectiveness of processes and flows. The Lean Construction philosophy is extending all over the world and its scope is becoming broader, having greater influence on the contractual management of projects. It evolved initially through the creation of the Lean Project Delivery System, a global project development concept. Later on, the Target Value Design was developed, based on collaborative design to achieve the costs and value required, as well as the Integrated Project Delivery, in connection with integrated relational (collaborative) contract systems, as opposed to conventional contracts. 3. It was verified that no specific regulations on Lean Construction exist in other countries, in other words, there are no agents with the specific name of “Lean Construction Specialist” or other similar names; therefore, it is an additional agent in building projects, which functions and objectives can overlap those of the Project Manager, Construction Manager, Contract Manager, or Safety Manager, among others. However, the existence of private collaborative contracts of Integrated Project Delivery was confirmed, which could be considered as first references for future regulations. 4. There is a demand for Lean Construction in the development of this work; even though it is still emerging, there is a growing interest in this topic. 5. There are no regulations on Lean Construction in Spain. 6. One of the main objectives of this thesis is to regulate this role when acting in a project, and to define and develop a Building Agent structure, according to the Building Standards Law (LOE by its acronym in Spanish), in order to be able to incorporate it into the Spanish law, protecting it from civil liabilities. In Spain there is jurisprudence in civil jurisdiction based on the LOE to acquit or convict building agents, which are defined in the courts as “construction managers” or similar. For this reason, courts could establish in the future joint and several liabilities between the Lean Construction Specialist and other agents of the project, depending on their actions and based on the implementation of the Lean Project Delivery System, the Target Value Design, and the Integrated Project Delivery. On the other hand, it is possible that the level of action of the Lean Construction Specialist may comprise design management, construction management and contract management, or the integral management of the entire building project in accordance with the last ISO 21500:2012 or UNE-ISO 21500:2013, guidelines for the management of projects. Accordingly, one or more building agents should be appropriately incorporated into the LOE according to their functions and responsibilities and based on the levels of action of the Lean Construction Specialist. The creation of the following agents is proposed: Design Manager, Construction Manager, and Contract Manager, which definitions are developed in this work. These agents are defined in general, since any Project Manager or DIPE, Building Information Modeling (BIM) Manager or similar, may act as one or as many of them. The creation of the Lean Construction Manager is also proposed, as the agent that takes on the role of the Design Manager, Construction Manager and Contract Manager with a focus on the Lean Production principles. 7. In the thesis it is demonstrated that through the implementation of the ISO 21500, both systems are supplementary, so projects may have both approaches and be compatible. A project that applies the Project & Construction Management may perfectly have the support of the tools, techniques and practices of Lean Construction to ensure the elimination or reduction of losses, that is, those activities that do not generate value, thus designing the production system, the design system, or the contract system. 8. The Lean Construction Specialist or similar and the Specialist in Project & Construction Management should be incorporated appropriately into the LOE according to their functions and responsibilities, since jurisprudence has been based on such Law to acquit or convict. One of the main objectives of this thesis is the regulate the role of the Lean Construction Specialist when acting simultaneously with the DIPE, and to develop a structure of the building agent, according to the LOE, and in this way protect such agent from joint and several liabilities. This research proves that the proposal to define the DIPE building agent, according to the LOE, and presented in the doctoral dissertation of Manuel Soler Severino, Ph.D. is compatible with the new definitions proposed. The DIPE agent may assume the roles of the different managers proposed in this thesis if he specializes in those topics or, if deemed pertinent, recommends that they be engaged.

Project Management Learning in a Collaborative Distant Learning Context - An Actual On-going Experience

The goal of this paper is to show the results of an on-going experience on teaching project management to grade students by following a development scheme of management related competencies on an individual basis. In order to achieve that goal, the students are organized in teams that must solve a problem and manage the development of a feasible solution to satisfy the needs of a client. The innovative component advocated in this paper is the formal introduction of negotiating and virtual team management aspects, as different teams from different universities at different locations and comprising students with different backgrounds must collaborate and compete amongst them. The different learning aspects are identified and the improvement levels are reflected in a rubric that has been designed ad hoc for this experience. Finally, the effort frameworks for the student and instructor have been established according to the requirements of the Bologna paradigms. This experience is developed through a software-based support system allowing blended learning for the theoretical and individual?s work aspects, blogs, wikis, etc., as well as project management tools based on WWW that allow the monitoring of not only the expected deliverables and the achievement of the goals but also the progress made on learning as established in the defined rubric

Metadata Visualization of Cultural Heritage Information within a Collaborative Environment

Cultural content on the Web is available in various domains (cultural objects, datasets, geospatial data, moving images, scholarly texts and visual resources), concerns various topics, is written in different languages, targeted to both laymen and experts, and provided by different communities (libraries, archives museums and information industry) and individuals (Figure 1). The integration of information technologies and cultural heritage content on the Web is expected to have an impact on everyday life from the point of view of institutions, communities and individuals. In particular, collaborative environment scan recreate 3D navigable worlds that can offer new insights into our cultural heritage (Chan 2007). However, the main barrier is to find and relate cultural heritage information by end-users of cultural contents, as well as by organisations and communities managing and producing them. In this paper, we explore several visualisation techniques for supporting cultural interfaces, where the role of metadata is essential for supporting the search and communication among end-users (Figure 2). A conceptual framework was developed to integrate the data, purpose, technology, impact, and form components of a collaborative environment, Our preliminary results show that collaborative environments can help with cultural heritage information sharing and communication tasks because of the way in which they provide a visual context to end-users. They can be regarded as distributed virtual reality systems that offer graphically realised, potentially infinite, digital information landscapes. Moreover, collaborative environments also provide a new way of interaction between an end-user and a cultural heritage data set. Finally, the visualisation of metadata of a dataset plays an important role in helping end-users in their search for heritage contents on the Web.

Generating Awareness from Collaborative Working Environment using Social Data

Nowadays, Internet is a place where social networks have reached an important impact in collaboration among people over the world in different ways. This article proposes a new paradigm for building CSCW business tools following the novel ideas provided by the social web to collaborate and generate awareness. An implementation of these concepts is described, including the components we provide to collaborate in workspaces, (such as videoconference, chat, desktop sharing, forums or temporal events), and the way we generate awareness from these complex social data structures. Figures and validation results are also presented to stress that this architecture has been defined to support awareness generation via joining current and future social data from business and social networks worlds, based on the idea of using social data stored in the cloud.

Cloud Computing Service for Managing Large Medical Image Data-Sets Using Balanced Collaborative Agents

Managing large medical image collections is an increasingly demanding important issue in many hospitals and other medical settings. A huge amount of this information is daily generated, which requires robust and agile systems. In this paper we present a distributed multi-agent system capable of managing very large medical image datasets. In this approach, agents extract low-level information from images and store them in a data structure implemented in a relational database. The data structure can also store semantic information related to images and particular regions. A distinctive aspect of our work is that a single image can be divided so that the resultant sub-images can be stored and managed separately by different agents to improve performance in data accessing and processing. The system also offers the possibility of applying some region-based operations and filters on images, facilitating image classification. These operations can be performed directly on data structures in the database.

Heterogeneous Collaborative Sensor Network for Electrical Management of an Automated House with PV Energy

In this paper we present a heterogeneous collaborative sensor network for electrical management in the residential sector. Improving demand-side management is very important in distributed energy generation applications. Sensing and control are the foundations of the “Smart Grid” which is the future of large-scale energy management. The system presented in this paper has been developed on a self-sufficient solar house called “MagicBox” equipped with grid connection, PV generation, lead-acid batteries, controllable appliances and smart metering. Therefore, there is a large number of energy variables to be monitored that allow us to precisely manage the energy performance of the house by means of collaborative sensors. The experimental results, performed on a real house, demonstrate the feasibility of the proposed collaborative system to reduce the consumption of electrical power and to increase energy efficiency.

Distributed collaborative processing in wireless sensor networks with application to target localization and beamforming

Abstract The proliferation of wireless sensor networks and the variety of envisioned applications associated with them has motivated the development of distributed algorithms for collaborative processing over networked systems. One of the applications that has attracted the attention of the researchers is that of target localization where the nodes of the network try to estimate the position of an unknown target that lies within its coverage area. Particularly challenging is the problem of estimating the target’s position when we use received signal strength indicator (RSSI) due to the nonlinear relationship between the measured signal and the true position of the target. Many of the existing approaches suffer either from high computational complexity (e.g., particle filters) or lack of accuracy. Further, many of the proposed solutions are centralized which make their application to a sensor network questionable. Depending on the application at hand and, from a practical perspective it could be convenient to find a balance between localization accuracy and complexity. Into this direction we approach the maximum likelihood location estimation problem by solving a suboptimal (and more tractable) problem. One of the main advantages of the proposed scheme is that it allows for a decentralized implementation using distributed processing tools (e.g., consensus and convex optimization) and therefore, it is very suitable to be implemented in real sensor networks. If further accuracy is needed an additional refinement step could be performed around the found solution. Under the assumption of independent noise among the nodes such local search can be done in a fully distributed way using a distributed version of the Gauss-Newton method based on consensus. Regardless of the underlying application or function of the sensor network it is al¬ways necessary to have a mechanism for data reporting. While some approaches use a special kind of nodes (called sink nodes) for data harvesting and forwarding to the outside world, there are however some scenarios where such an approach is impractical or even impossible to deploy. Further, such sink nodes become a bottleneck in terms of traffic flow and power consumption. To overcome these issues instead of using sink nodes for data reporting one could use collaborative beamforming techniques to forward directly the generated data to a base station or gateway to the outside world. In a dis-tributed environment like a sensor network nodes cooperate in order to form a virtual antenna array that can exploit the benefits of multi-antenna communications. In col-laborative beamforming nodes synchronize their phases in order to add constructively at the receiver. Some of the inconveniences associated with collaborative beamforming techniques is that there is no control over the radiation pattern since it is treated as a random quantity. This may cause interference to other coexisting systems and fast bat-tery depletion at the nodes. Since energy-efficiency is a major design issue we consider the development of a distributed collaborative beamforming scheme that maximizes the network lifetime while meeting some quality of service (QoS) requirement at the re¬ceiver side. Using local information about battery status and channel conditions we find distributed algorithms that converge to the optimal centralized beamformer. While in the first part we consider only battery depletion due to communications beamforming, we extend the model to account for more realistic scenarios by the introduction of an additional random energy consumption. It is shown how the new problem generalizes the original one and under which conditions it is easily solvable. By formulating the problem under the energy-efficiency perspective the network’s lifetime is significantly improved. Resumen La proliferación de las redes inalámbricas de sensores junto con la gran variedad de posi¬bles aplicaciones relacionadas, han motivado el desarrollo de herramientas y algoritmos necesarios para el procesado cooperativo en sistemas distribuidos. Una de las aplicaciones que suscitado mayor interés entre la comunidad científica es la de localization, donde el conjunto de nodos de la red intenta estimar la posición de un blanco localizado dentro de su área de cobertura. El problema de la localization es especialmente desafiante cuando se usan niveles de energía de la seal recibida (RSSI por sus siglas en inglés) como medida para la localization. El principal inconveniente reside en el hecho que el nivel de señal recibida no sigue una relación lineal con la posición del blanco. Muchas de las soluciones actuales al problema de localization usando RSSI se basan en complejos esquemas centralizados como filtros de partículas, mientas que en otras se basan en esquemas mucho más simples pero con menor precisión. Además, en muchos casos las estrategias son centralizadas lo que resulta poco prácticos para su implementación en redes de sensores. Desde un punto de vista práctico y de implementation, es conveniente, para ciertos escenarios y aplicaciones, el desarrollo de alternativas que ofrezcan un compromiso entre complejidad y precisión. En esta línea, en lugar de abordar directamente el problema de la estimación de la posición del blanco bajo el criterio de máxima verosimilitud, proponemos usar una formulación subóptima del problema más manejable analíticamente y que ofrece la ventaja de permitir en¬contrar la solución al problema de localization de una forma totalmente distribuida, convirtiéndola así en una solución atractiva dentro del contexto de redes inalámbricas de sensores. Para ello, se usan herramientas de procesado distribuido como los algorit¬mos de consenso y de optimización convexa en sistemas distribuidos. Para aplicaciones donde se requiera de un mayor grado de precisión se propone una estrategia que con¬siste en la optimización local de la función de verosimilitud entorno a la estimación inicialmente obtenida. Esta optimización se puede realizar de forma descentralizada usando una versión basada en consenso del método de Gauss-Newton siempre y cuando asumamos independencia de los ruidos de medida en los diferentes nodos. Independientemente de la aplicación subyacente de la red de sensores, es necesario tener un mecanismo que permita recopilar los datos provenientes de la red de sensores. Una forma de hacerlo es mediante el uso de uno o varios nodos especiales, llamados nodos “sumidero”, (sink en inglés) que actúen como centros recolectores de información y que estarán equipados con hardware adicional que les permita la interacción con el exterior de la red. La principal desventaja de esta estrategia es que dichos nodos se convierten en cuellos de botella en cuanto a tráfico y capacidad de cálculo. Como alter¬nativa se pueden usar técnicas cooperativas de conformación de haz (beamforming en inglés) de manera que el conjunto de la red puede verse como un único sistema virtual de múltiples antenas y, por tanto, que exploten los beneficios que ofrecen las comu¬nicaciones con múltiples antenas. Para ello, los distintos nodos de la red sincronizan sus transmisiones de manera que se produce una interferencia constructiva en el recep¬tor. No obstante, las actuales técnicas se basan en resultados promedios y asintóticos, cuando el número de nodos es muy grande. Para una configuración específica se pierde el control sobre el diagrama de radiación causando posibles interferencias sobre sis¬temas coexistentes o gastando más potencia de la requerida. La eficiencia energética es una cuestión capital en las redes inalámbricas de sensores ya que los nodos están equipados con baterías. Es por tanto muy importante preservar la batería evitando cambios innecesarios y el consecuente aumento de costes. Bajo estas consideraciones, se propone un esquema de conformación de haz que maximice el tiempo de vida útil de la red, entendiendo como tal el máximo tiempo que la red puede estar operativa garantizando unos requisitos de calidad de servicio (QoS por sus siglas en inglés) que permitan una decodificación fiable de la señal recibida en la estación base. Se proponen además algoritmos distribuidos que convergen a la solución centralizada. Inicialmente se considera que la única causa de consumo energético se debe a las comunicaciones con la estación base. Este modelo de consumo energético es modificado para tener en cuenta otras formas de consumo de energía derivadas de procesos inherentes al funcionamiento de la red como la adquisición y procesado de datos, las comunicaciones locales entre nodos, etc. Dicho consumo adicional de energía se modela como una variable aleatoria en cada nodo. Se cambia por tanto, a un escenario probabilístico que generaliza el caso determinista y se proporcionan condiciones bajo las cuales el problema se puede resolver de forma eficiente. Se demuestra que el tiempo de vida de la red mejora de forma significativa usando el criterio propuesto de eficiencia energética.

A framework for collaborative filtering recommender systems

As the use of recommender systems becomes more consolidated on the Net, an increasing need arises to develop some kind of evaluation framework for collaborative filtering measures and methods which is capable of not only testing the prediction and recommendation results, but also of other purposes which until now were considered secondary, such as novelty in the recommendations and the users? trust in these. This paper provides: (a) measures to evaluate the novelty of the users? recommendations and trust in their neighborhoods, (b) equations that formalize and unify the collaborative filtering process and its evaluation, (c) a framework based on the above-mentioned elements that enables the evaluation of the quality results of any collaborative filtering applied to the desired recommender systems, using four graphs: quality of the predictions, the recommendations, the novelty and the trust.

A collaborative filtering similarity measure based on singularities.

Recommender systems play an important role in reducing the negative impact of informa- tion overload on those websites where users have the possibility of voting for their prefer- ences on items. The most normal technique for dealing with the recommendation mechanism is to use collaborative filtering, in which it is essential to discover the most similar users to whom you desire to make recommendations. The hypothesis of this paper is that the results obtained by applying traditional similarities measures can be improved by taking contextual information, drawn from the entire body of users, and using it to cal- culate the singularity which exists, for each item, in the votes cast by each pair of users that you wish to compare. As such, the greater the measure of singularity result between the votes cast by two given users, the greater the impact this will have on the similarity. The results, tested on the Movielens, Netflix and FilmAffinity databases, corroborate the excellent behaviour of the singularity measure proposed.

A collaborative filtering approach to mitigate the new user cold start problem.

The new user cold start issue represents a serious problem in recommender systems as it can lead to the loss of new users who decide to stop using the system due to the lack of accuracy in the recommenda- tions received in that first stage in which they have not yet cast a significant number of votes with which to feed the recommender system?s collaborative filtering core. For this reason it is particularly important to design new similarity metrics which provide greater precision in the results offered to users who have cast few votes. This paper presents a new similarity measure perfected using optimization based on neu- ral learning, which exceeds the best results obtained with current metrics. The metric has been tested on the Netflix and Movielens databases, obtaining important improvements in the measures of accuracy, precision and recall when applied to new user cold start situations. The paper includes the mathematical formalization describing how to obtain the main quality measures of a recommender system using leave- one-out cross validation.

A Balanced Memory-Based Collaborative Filtering Similarity Measure.

Collaborative filtering recommender systems contribute to alleviating the problem of information overload that exists on the Internet as a result of the mass use of Web 2.0 applications. The use of an adequate similarity measure becomes a determining factor in the quality of the prediction and recommendation results of the recommender system, as well as in its performance. In this paper, we present a memory-based collaborative filtering similarity measure that provides extremely high-quality and balanced results; these results are complemented with a low processing time (high performance), similar to the one required to execute traditional similarity metrics. The experiments have been carried out on the MovieLens and Netflix databases, using a representative set of information retrieval quality measures.

E-learning systems support of collaborative agreements: a theoretical model

This paper introduces a theoretical model for developing integrated degree programmes through e-learning systems as stipulated by a collaboration agreement signed by two universities. We have analysed several collaboration agreements between universities at the national, European, and transatlantic level as well as various e-learning frameworks. A conceptual model, a business model, and the architecture design are presented as part of the theoretical model. The paper presents a way of implementing e-learning systems as a tool to support inter-institutional degree collaborations, from the signing of the collaborative agreement to the implementation of the necessary services. In order to show how the theory can be tested one sample scenario is presented.

The secret to legal foretelling: generic and inter-generic aspects of vagueness in contracts, patents and regulations

In this genre analysis research paper, we compare U.S. patents, contracts, and regulations on technical matters with a focus upon the relation between vagueness and communicative purposes and subpurposes of these three genres. Our main interest is the investigation of intergeneric conventions across the three genres, based on the software analysis of three corpora (one for each genre, 1 million words per corpus). The result of the investigation is that intergeneric conventions are found at the level of types of expressed linguistic vagueness, but that intergeneric conventions at the level of actual formulations are rare. The conclusion is that at this latter level the influence from the situation type underlying the individual genre is more important than the overarching legal character of the genres, when we talk about introducing explicit vagueness in the text.

Using online presence to improve online collaborative learning

Social software tools have become an integral part of students? personal lives and their primary communication medium. Likewise, these tools are increasingly entering the enterprise world (within the recent trend known as Enterprise 2.0) and becoming a part of everyday work routines. Aiming to keep the pace with the job requirements and also to position learning as an integral part of students? life, the field of education is challenged to embrace social software. Personal Learning Environments (PLEs) emerged as a concept that makes use of social software to facilitate collaboration, knowledge sharing, group formation around common interests, active participation and reflective thinking in online learning settings. Furthermore, social software allows for establishing and maintaining one?s presence in the online world. By being aware of a student's online presence, a PLE is better able to personalize the learning settings, e.g., through recommendation of content to use or people to collaborate with. Aiming to explore the potentials of online presence for the provision of recommendations in PLEs, in the scope of the OP4L project, we have develop a software solution that is based on a synergy of Semantic Web technologies, online presence and socially-oriented learning theories. In this paper we present the current results of this research work.

Collaborative data stream mining in ubiquitous environments using dynamic classifier selection

In ubiquitous data stream mining applications, different devices often aim to learn concepts that are similar to some extent. In these applications, such as spam filtering or news recommendation, the data stream underlying concept (e.g., interesting mail/news) is likely to change over time. Therefore, the resultant model must be continuously adapted to such changes. This paper presents a novel Collaborative Data Stream Mining (Coll-Stream) approach that explores the similarities in the knowledge available from other devices to improve local classification accuracy. Coll-Stream integrates the community knowledge using an ensemble method where the classifiers are selected and weighted based on their local accuracy for different partitions of the feature space. We evaluate Coll-Stream classification accuracy in situations with concept drift, noise, partition granularity and concept similarity in relation to the local underlying concept. The experimental results show that Coll-Stream resultant model achieves stability and accuracy in a variety of situations using both synthetic and real world datasets.