894 resultados para Multi-sector models
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Robotics is a field that presents a large number of problems because it depends on a large number of disciplines, devices, technologies and tasks. Its expansion from perfectly controlled industrial environments toward open and dynamic environment presents a many new challenges, such as robots household robots or professional robots. To facilitate the rapid development of robotic systems, low cost, reusability of code, its medium and long term maintainability and robustness are required novel approaches to provide generic models and software systems who develop paradigms capable of solving these problems. For this purpose, in this paper we propose a model based on multi-agent systems inspired by the human nervous system able to transfer the control characteristics of the biological system and able to take advantage of the best properties of distributed software systems.
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Charla realizada en el pasado 1st BYK-Gardner Iberian Automotive Meeting, celebrado en Alicante, entre los días 13 y 14 de Octubre de 2011: http://web.csidiomas.ua.es/congresos/iberianautomotive/index.html
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El objetivo de este trabajo consiste en estimar la eficiencia productiva y de escala con la que operan los intermediarios del sector minorista español de distribución turístico. Adicionalmente, se pretende examinar los determinantes de la eficiencia en términos de la integración vertical, concentración horizontal, tamaño y resultados de las entidades. La metodología aplicada se apoya en diversas técnicas de medición de eficiencia (paramétrica de naturaleza estocástica y no paramétrica del Análisis Envolvente de Datos, DEA), así como en modelos tobit para conocer el impacto de los factores del mercado y de la empresa sobre los niveles de eficiencia. La aplicación empírica realizada en una muestra de 50 agencias de viaje de nuestro país evidencia, por un lado, unos elevados índices de ineficiencia técnica y de escala, destacando en el último caso los rendimientos decrecientes; y por otro, que el tamaño y el ROA son los factores determinante de la eficiencia de escala, mientras que la concentración del mercado explica la eficiencia técnica.
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En la búsqueda de la modelización y cuantificación óptimas de la correlación instrumental y visual de materiales goniocromáticos (pinturas y plásticos, principalmente) en los procesos de control de calidad típicos del sector automovilístico, se presenta aquí una comparación de las prestaciones de diversos tipos actuales de instrumentos de medida del color y cabinas de iluminación. Los multi-gonioespectrofotómetros analizados fueron: Datacolor FX10®, X-Rite MA98® y BYK-mac®, y, las cabinas de iluminación direccional: gonio-vision-box® y byko-spectra effect®. Las propiedades ópticas, básicamente fotométricas y colorimétricas, evaluadas fueron: geometrías de medida, fuente de luz, distancia de observación y dirección visual a la muestra. Los resultados aportados mostraron que actualmente dicha correlación instrumental y visual no es óptima debido a desajustes en las cabinas.
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Robotics is an emerging field with great activity. Robotics is a field that presents several problems because it depends on a large number of disciplines, technologies, devices and tasks. Its expansion from perfectly controlled industrial environments toward open and dynamic environment presents a many new challenges. New uses are, for example, household robots or professional robots. To facilitate the low cost, rapid development of robotic systems, reusability of code, its medium and long term maintainability and robustness are required novel approaches to provide generic models and software systems who develop paradigms capable of solving these problems. For this purpose, in this paper we propose a model based on multi-agent systems inspired by the human nervous system able to transfer the control characteristics of the biological system and able to take advantage of the best properties of distributed software systems. Specifically, we model the decentralized activity and hormonal variation.
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Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor localization. Different RANdom SAmple Consensus (RANSAC)-based methods have been proposed for this purpose in recent years. In this study, we propose a novel method-based on RANSAC called Multiplane Model Estimation, which can estimate multiple plane models simultaneously from a noisy point cloud using the knowledge extracted from a scene (or an object) in order to reconstruct it accurately. This method comprises two steps: first, it clusters the data into planar faces that preserve some constraints defined by knowledge related to the object (e.g., the angles between faces); and second, the models of the planes are estimated based on these data using a novel multi-constraint RANSAC. We performed experiments in the clustering and RANSAC stages, which showed that the proposed method performed better than state-of-the-art methods.
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A method to calculate the effective spin Hamiltonian for a transition metal impurity in a non-magnetic insulating host is presented and applied to the paradigmatic case of Fe in MgO. In the first step we calculate the electronic structure employing standard density functional theory (DFT), based on generalized gradient approximation (GGA), using plane waves as a basis set. The corresponding basis of atomic-like maximally localized Wannier functions is derived and used to represent the DFT Hamiltonian, resulting in a tight-binding model for the atomic orbitals of the magnetic impurity. The third step is to solve, by exact numerical diagonalization, the N electron problem in the open shell of the magnetic atom, including both effects of spin–orbit and Coulomb repulsion. Finally, the low energy sector of this multi-electron Hamiltonian is mapped into effective spin models that, in addition to the spin matrices S, can also include the orbital angular momentum L when appropriate. We successfully apply the method to Fe in MgO, considering both the undistorted and Jahn–Teller (JT) distorted cases. Implications for the influence of Fe impurities on the performance of magnetic tunnel junctions based on MgO are discussed.
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The research team reviewed numerous several multi- sectoral entities and identified nine GGNs that became the subject of our case studies. The research team conducted semi-structured interviews with executives and staff from each of these GNNs and prepared a profile, including a description of the unique evolution of the organization, goals and objectives, organizational structure and governance arrangements for each GGN. The following list provides an overview of the nine GGNs profiled: 1. Every Woman Every Child is an unprecedented global effort that mobilizes and amplifies action by governments, multilaterals, the private sector, research centers, academia and civil society to address life-threatening health challenges facing women and children globally. 2. HERproject catalyzes global partnerships and local Networks to improve female workers’ general and reproductive health in eight emerging economies. 3. R4 Rural Resilience Initiative is a cutting-edge, strategic, large-scale partnership between the public and private sectors to innovate and develop better tools to help the world’s most vulnerable people build resilient livelihoods. 4. Extractive Industry Transparency Initiative is a coalition of governments, companies, civil society groups, investors and international organizations that aims to improve transparency and accountability in the extractives sector. 5. Global Network for Neglected Tropical Diseases works with international partners at the highest level of government, business and society to break down the logistical and financial barriers to delivering existing treatments for the seven most common neglected tropical diseases. 6. Global Alliance for Improved Nutrition is an alliance that supports public-private partnerships to increase access to the missing nutrients in diets necessary for people, communities and economies to be stronger and healthier. 7. Inter-Agency Network For Education in Emergencies is a global Network of individuals and representatives from NGOs, United Nations and donor agencies, governments, academic institutions, schools and affected populations working to ensure all persons have the right to a quality and safe education in emergencies and post- crisis recovery. 8. mHealth Alliance works with diverse partners to advance mobile-based or mobile-enhanced solutions that deliver health through research, advocacy, support for the development of interoperable solutions and sustainable deployment models. 9. The Rainforest Alliance is a global non-profit that focuses on environmental conservation and sustainable development and works through collaborative partnerships with various stakeholders.
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This paper reviews peer-to-peer (P2P) lending, its development in the UK and other countries, and assesses the business and economic policy issues surrounding this new form of intermediation. P2P platform technology allows direct matching of borrowers’ and lenders’ diversification over a large number of borrowers without the loans having to be held on an intermediary balance sheet. P2P lending has developed rapidly in both the US and the UK, but it still represents a small fraction, less than 1%, of the stock of bank lending. In the UK – but not elsewhere – it is an important source of loans for smaller companies. We argue that P2P lending is fundamentally complementary to, and not competitive with, conventional banking. We therefore expect banks to adapt to the emergence of P2P lending, either by cooperating closely with third-party P2P lending platforms or offering their own proprietary platforms. We also argue that the full development of the sector requires much further work addressing the risks and business and regulatory issues in P2P lending, including risk communication, orderly resolution of platform failure, control of liquidity risks and minimisation of fraud, security and operational risks. This will depend on developing reliable business processes, the promotion to the full extent possible of transparency and standardisation and appropriate regulation that serves the needs of customers.
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Two cores, Site 1089 (ODP Leg 177) and PS2821-1, recovered from the same location (40°56'S; 9°54'E) at the Subtropical Front (STF) in the Atlantic Sector of the Southern Ocean, provide a high-resolution climatic record, with an average temporal resolution of less than 600 yr. A multi-proxy approach was used to produce an age model for Core PS2821-1, and to correlate the two cores. Both cores document the last climatic cycle, from Marine Isotopic Stage 6 (MIS 6, ca. 160 kyr BP, ka) to present. Summer sea-surface temperatures (SSSTs) have been estimated, with a standard error of ca. +/-1.16°C, for the down core record by using Q-mode factor analysis (Imbrie and Kipp method). The paleotemperatures show a 7°C warming at Termination II (last interglacial, transition from MIS 6 to MIS 5). This transition from glacial to interglacial paleotemperatures (with maximum temperatures ca. 3°C warmer than present at the core location) occurs earlier than the corresponding shift in delta18O values for benthic foraminifera from the same core; this suggests a lead of Southern Ocean paleotemperature changes compared to the global ice-volume changes, as indicated by the benthic isotopic record. The climatic evolution of the record continues with a progressive temperature deterioration towards MIS 2. High-frequency, millennial-scale climatic instability has been documented for MIS 3 and part of MIS 4, with sudden temperature variations of almost the same magnitude as those observed at the transitions between glacial and interglacial times. These changes occur during the same time interval as the Dansgaard-Oeschger cycles recognized in the delta18Oice record of the GRIP and GISP ice cores from Greenland, and seem to be connected to rapid changes in the STF position in relation to the core location. Sudden cooling episodes ('Younger Dryas (YD)-type' and 'Antarctic Cold Reversal (ACR)-type' of events) have been recognized for both Termination I (ACR-I and YD-I events) and II (ACR-II and YD-II events), and imply that our core is located in an optimal position in order to record events triggered by phenomena occurring in both hemispheres. Spectral analysis of our SSST record displays strong analogies, particularly for high, sub-orbital frequencies, to equivalent records from Vostok (Antarctica) and from the Subtropical North Atlantic ocean. This implies that the climatic variability of widely separated areas (the Antarctic continent, the Subtropical North Atlantic, and the Subantarctic South Atlantic) can be strongly coupled and co-varying at millennial time scales (a few to 10-ka periods), and eventually induced by the same triggering mechanisms. Climatic variability has also been documented for supposedly warm and stable interglacial intervals (MIS 1 and 5), with several cold events which can be correlated to other Southern Ocean and North Atlantic sediment records.
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A set of 43 sediment cores from around the Canary Islands is used to characterise this region, which intersects meridional climatic regimes and zonal productivity gradients in a high spatial resolution. Using rapid and nondestructive core logging techniques we carried out Fe intensity and magnetic susceptibility (MS) measurements and created a stack on the basis of five stratigraphic reference cores, for which a stratigraphic age model was available from d18O and 14C analyses on planktonic foraminifera. By correlation of the stack with the Fe and MS records of the other cores, we were able to develop age depth models at all investigated sites of the region. We present the bulk sediment accumulation rates (AR) of the Canary Islands region as an indicator of shifts in the upwelling-influenced areas for the Holocene (0-12 ky), the deglaciation (12-18 ky) and the last glacial (18-40 ky). General observations are an enhanced productivity during glacial times with highest values during the deglaciation. The main differences between the analysed time intervals we interpret as result of the sea-level effects, changes in the extent of high productivity areas, and current intensity.
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Radiolarian-based paleoceanographic reconstructions generally use the abundance of selected radiolarian species. However, the recent focus on the opal flux and the development of isotope measurements in biogenic opal and the organic matter embedded in it demands a better knowledge of the origin of the opal. We present here an estimation of the opal content of the skeleton of 63 radiolarian species from two sites in the Southern Ocean. The skeletons are modelled as associations of simple geometrical shapes, and the volume thus obtained is combined with opal density to obtain the amount of opal. These data are, thus, used to determine the most important opal carriers in the radiolarian assemblage in both cores.
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Federal Highway Administration, Washington, D.C.
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Federal Highway Administration, Washington, D.C.
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Federal Highway Administration, Washington, D.C.