11 resultados para O32 - Management of Technological Innovation and R

em Universidad Politécnica de Madrid


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This paper is based on the following postulates taken from a book recently published by this author (Sáez-Vacas, 1990(1)): a) technological innovation in a company is understood to be the process and set of changes that the company undergoes as a result of a specific type of technology; b) the incorporation of technology in the company does not necessarily result in innovation, modernization and progress; c) the very words "modernization" and "progress" are completely bereft of any meaning if isolated from the concept of complexity in its broadest sense, including the human factor. Turning to office technology in specific, the problem of managing office technology for business innovation purposes can be likened to the problem of managing third level complexity, following the guidelines of a three-level complexity model proposed by the author some years ago

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A backtracking algorithm for AND-Parallelism and its implementation at the Abstract Machine level are presented: first, a class of AND-Parallelism models based on goal independence is defined, and a generalized version of Restricted AND-Parallelism (RAP) introduced as characteristic of this class. A simple and efficient backtracking algorithm for R A P is then discussed. An implementation scheme is presented for this algorithm which offers minimum overhead, while retaining the performance and storage economy of sequent ial implementations and taking advantage of goal independence to avoid unnecessary backtracking ("restricted intelligent backtracking"). Finally, the implementation of backtracking in sequential and AND-Parallcl systems is explained through a number of examples.

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Drip irrigation combined with split application of fertilizer nitrogen (N) dissolved in the irrigation water (i.e. drip fertigation) is commonly considered best management practice for water and nutrient efficiency. As a consequence, its use is becoming widespread. Some of the main factors (water-filled pore space, NH4+ and NO3−) regulating the emissions of greenhouse gases (i.e. N2O, CO2 and CH4) and NO from agroecosystems can easily be manipulated by drip fertigation without yield penalties. In this study, we tested management options to reduce these emissions in a field experiment with a melon (Cucumis melo L.) crop. Treatments included drip irrigation frequency (weekly/daily) and type of N fertilizer (urea/calcium nitrate) applied by fertigation. Crop yield, environmental parameters, soil mineral N concentrations and fluxes of N2O, NO, CH4 and CO2 were measured during 85 days. Fertigation with urea instead of calcium nitrate increased N2O and NO emissions by a factor of 2.4 and 2.9, respectively (P < 0.005). Daily irrigation reduced NO emissions by 42% (P < 0.005) but increased CO2 emissions by 21% (P < 0.05) compared with weekly irrigation. We found no relation between irrigation frequency and N2O emissions. Based on yield-scaled Global Warming Potential as well as NO cumulative emissions, we conclude that weekly fertigation with a NO3−-based fertilizer is the best option to combine agronomic productivity with environmental sustainability. Our study shows that adequate management of drip fertigation, while contributing to the attainment of water and food security, may provide an opportunity for climate change mitigation.

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Models are an effective tool for systems and software design. They allow software architects to abstract from the non-relevant details. Those qualities are also useful for the technical management of networks, systems and software, such as those that compose service oriented architectures. Models can provide a set of well-defined abstractions over the distributed heterogeneous service infrastructure that enable its automated management. We propose to use the managed system as a source of dynamically generated runtime models, and decompose management processes into a composition of model transformations. We have created an autonomic service deployment and configuration architecture that obtains, analyzes, and transforms system models to apply the required actions, while being oblivious to the low-level details. An instrumentation layer automatically builds these models and interprets the planned management actions to the system. We illustrate these concepts with a distributed service update operation.

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The need of decarbonization of urban mobility is one of the main priorities for all countries to achieve greenhouse gas (GHG) emissions reduction targets. In general, the transport modes which have experienced the most growth in recent years tend to be the most polluting. Most efforts have been focused on the vehicle efficiency improvements and vehicle fleet renewal; nevertheless more emphasis should be placed on strategies related to the management of urban mobility and modal share. Research of individual travel which analyzes CO2 emissions and car and public transport share in daily mobility will enable better assessments of the potential of urban mobility measures introduced to limit GHG emissions produced by transport in cities. This paper explores the sustainability impacts of daily mobility in Spain using data from two National Travel Surveys (NTSs) (2000 and 2006) and includes a method by which to estimate the CO2 emissions associated with each journey and each surveyed individual. The results demonstrate that in the 2000 to 2006 period, there has been an increase in daily mobility which has led to a 17% increase in CO2 emissions. When separated by transport mode, cars prove to be the main contributor to that increase, followed by public transport. More focus should be directed toward modal shift strategies which not only take the number of journeys into account but also consider distance. The contributions of this paper have potential applications in the assessment of current and future urban transport policies.

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The need to decarbonize urban mobility is one of the main motivations for all countries to achieve reduction targets for greenhouse gas (GHG) emissions. In general, the transport modes that have experienced the most growth in recent years tend to be the most polluting. Most efforts have focused on improvements in vehicle efficiency and on the renewal of vehicle fleets; more emphasis should be placed on strategies related to the management of urban mobility and modal share. Research of individual travel that analyzes carbon dioxide (CO2) emissions and car and public transport share in daily mobility will enable better assessments of the potential of urban mobility measures introduced to limit GHG emissions produced by transport in cities. The climate change impacts of daily mobility in Spain are explored with data from two national travel surveys in 2000 and 2006, and a method for estimating the CO2 emissions associated with each journey and each surveyed individual is provided. The results demonstrate that from 2000 to 2006, daily mobility has increased and has led to a 17% increase in CO2 emissions. When these results are separated by transport mode, cars prove to be the main contributor to that increase, followed by public transport. More focus should be directed toward modal shift strategies, which take into account not only the number of journeys but also the distance traveled. These contributions have potential applications in the assessment of current and future urban transport policies related to low-carbon urban transportation.

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El ánimo de superación y consecución de nuevos logros es una constante a lo largo de la historia arquitectura y la ingeniería. La construcción de estructuras cada vez más audaces, ligeras y esbeltas es un buen ejemplo de esta superación, pero este camino no está únicamente ligado a la consecución de nuevas formas estructurales y arquitectónicas, sino también a la búsqueda de una mayor economía de medios y materiales en su construcción, y el caso particular de las estructuras laminares metálicas no es una excepción. La presente tesis doctoral aborda el campo de las láminas de entramado desde una nueva perspectiva: la relación existente entre la introducción de una serie de innovaciones tecnológicas en la industria y la evolución formal de esta tipología estructural, tanto en lo que se refiere a la complejidad de las superficies construidas como en lo relativo a la elegancia de las mallas portantes alcanzada. Para ello esta investigación plantea la caracterización y clasificación de los sistemas constructivos prefabricados empleados en la construcción de láminas metálicas de celosía en función de la influencia de la tecnología y los procesos industriales de producción empleados en la fabricación de sus componentes, considerando asimismo las posibilidades formales y estéticas que ofrecen dichos sistemas y el grado de aprovechamiento de material que su diseño y fabricación permiten. Para alcanzar el objetivo propuesto se propone una metodología analítica específica que aborda la caracterización de los diferentes casos no sólo desde un enfoque cualitativo y abstracto, en función de las propiedades de los sistemas, sino que propone el estudio de su aplicación práctica en la realización de estructuras existentes, pudiendo así cuantificar gran parte de los parámetros considerados en la clasificación. Gracias a la aplicación de esta metodología se ha podido establecer la relación inequívoca que existe entre los avances generados por la industria y la evolución formal de las láminas de celosía, gracias a la unión de la innovación tecnológica y el talento creativo de los diseñadores – arquitectos e ingenieros – en la búsqueda de la belleza. Asimismo se han podido determinar cómo, a pesar de los asombrosos avances realizados, aún existen aspectos susceptibles de optimización en el diseño y fabricación de sistemas constructivos prefabricados, proponiendo nuevas vías de investigación que puedan conducir a la obtención de diseños que puedan llevar aún más lejos el desarrollo de esta tipología estructural. ABSTRACT The aim of improvement and the achievement of new goals is a constant process throughout the history of the architecture and engineering. The construction of increasingly daring, light and slender structures is a great example of this surmounting, but this track is not only related to the attainment of new structural and architectural shapes, but also to the pursuit of a higher economy of means and materials in its building process, and the particular case of steel grid shells makes no exception. The present doctoral dissertation addresses the field of lattice shells from a new viewpoint: the existing relationship between the insertion of a number of technological innovations in the industry and the formal evolution of this structural type, either referring to the complexity of the built surfaces as related to the elegance of the achieved load bearing grids. Within this aim this investigation outlines the characterization and classification of the prefabricated building systems used in the construction of steel trussed shells according to the influence of technology and industrial production processes used in its component fabrication, also considering the formal and aesthetic possibilities that the mentioned systems provide and the performance degree of raw material which its design and fabrication makes possible. In order to reach the proposed objective, this work develops an specific methodology which addresses the characterization of the different cases not only from an abstract and qualitative focus, based on the system properties, but also regarding the analysis of their real use in existing structures, being thus capable to quantify most of the parameters which are considered in this classification. By means of this methodology it has been possible to lay down the unambiguous relationship between the advances provided by the industry and the formal evolution of lattice shells, given the combination of technological innovation and the creative talent of designers – architects and engineers – in the pursuit of beauty. Furthermore, it has been determined how, in spite the astonishing advances that have been made, some issues in the design and fabrication of systems are still suitable to be optimized, addressing new research paths which may lead to the achievement of new designs suitable to drive the development of this structural type even further.

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Identifying, quantifying, and minimizing technical risks associated with investment decisions is a key challenge for mineral industry decision makers and investors. However, risk analysis in most bankable mine feasibility studies are based on the stochastic modelling of project “Net Present Value” (NPV)which, in most cases, fails to provide decision makers with a truly comprehensive analysis of risks associated with technical and management uncertainty and, as a result, are of little use for risk management and project optimization. This paper presents a value-chain risk management approach where project risk is evaluated for each step of the project lifecycle, from exploration to mine closure, and risk management is performed as a part of a stepwise value-added optimization process.

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The objective of this paper is to address the methodological process of a teaching strategy for training project management complexity in postgraduate programs. The proposal is made up of different methods —intuitive, comparative, deductive, case study, problem-solving Project-Based Learning— and different activities inside and outside the classroom. This integration of methods motivated the current use of the concept of “learning strategy”. The strategy has two phases: firstly, the integration of the competences —technical, behavioral and contextual—in real projects; and secondly, the learning activity was oriented in upper level of knowledge, the evaluating the complexity for projects management in real situations. Both the competences in the learning strategy and the Project Complexity Evaluation are based on the ICB of IPMA. The learning strategy is applied in an international Postgraduate Program —Erasmus Mundus Master of Science— with the participation of five Universities of the European Union. This master program is fruit of a cooperative experience from one Educative Innovation Group of the UPM -GIE-Project-, two Research Groups of the UPM and the collaboration with other external agents to the university. Some reflections on the experience and the main success factors in the learning strategy were presented in the paper

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The objective of this paper is to address the methodological process of a teaching strategy for training project management complexity in postgraduate programs. The proposal is made up of different methods —intuitive, comparative, deductive, case study, problem-solving Project-Based Learning— and different activities inside and outside the classroom. This integration of methods motivated the current use of the concept of ―learning strategy‖. The strategy has two phases: firstly, the integration of the competences —technical, behavioral and contextual—in real projects; and secondly, the learning activity was oriented in upper level of knowledge, the evaluating the complexity for projects management in real situations. Both the competences in the learning strategy and the Project Complexity Evaluation are based on the ICB of IPMA. The learning strategy is applied in an international Postgraduate Program —Erasmus Mundus Master of Science— with the participation of five Universities of the European Union. This master program is fruit of a cooperative experience from one Educative Innovation Group of the UPM -GIE-Project-, two Research Groups of the UPM and the collaboration with other external agents to the university. Some reflections on the experience and the main success factors in the learning strategy were presented in the paper.

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New digital artifacts are emerging in data-intensive science. For example, scientific workflows are executable descriptions of scientific procedures that define the sequence of computational steps in an automated data analysis, supporting reproducible research and the sharing and replication of best-practice and know-how through reuse. Workflows are specified at design time and interpreted through their execution in a variety of situations, environments, and domains. Hence it is essential to preserve both their static and dynamic aspects, along with the research context in which they are used. To achieve this, we propose the use of multidimensional digital objects (Research Objects) that aggregate the resources used and/or produced in scientific investigations, including workflow models, provenance of their executions, and links to the relevant associated resources, along with the provision of technological support for their preservation and efficient retrieval and reuse. In this direction, we specified a software architecture for the design and implementation of a Research Object preservation system, and realized this architecture with a set of services and clients, drawing together practices in digital libraries, preservation systems, workflow management, social networking and Semantic Web technologies. In this paper, we describe the backbone system of this realization, a digital library system built on top of dLibra.