823 resultados para Pipeline Failiure


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We present PIPE3D, an analysis pipeline based on the FIT3D fitting tool, developed to explore the properties of the stellar populations and ionized gas of integral field spectroscopy (IFS) data. PIPE3D was created to provide coherent, simple to distribute, and comparable dataproducts, independently of the origin of the data, focused on the data of the most recent IFU surveys (e.g., CALIFA, MaNGA, and SAMI), and the last generation IFS instruments (e.g., MUSE). In this article we describe the different steps involved in the analysis of the data, illustrating them by showing the dataproducts derived for NGC 2916, observed by CALIFA and P-MaNGA. As a practical example of the pipeline we present the complete set of dataproducts derived for the 200 datacubes that comprises the V500 setup of the CALIFA Data Release 2 (DR2), making them freely available through the network. Finally, we explore the hypothesis that the properties of the stellar populations and ionized gas of galaxies at the effective radius are representative of the overall average ones, finding that this is indeed the case.

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We present an improved version of FIT3D, a fitting tool for the analysis of the spectroscopic properties of the stellar populations and the ionized gas derived from moderate resolution spectra of galaxies. This tool was developed to analyze integral field spectroscopy data and it is the basis of PIPE3D, a pipeline used in the analysis of CALIFA, MaNGA, and SAMI data. We describe the philosophy and each step of the fitting procedure. We present an extensive set of simulations in order to estimate the precision and accuracy of the derived parameters for the stellar populations and the ionized gas. We report on the results of those simulations. Finally, we compare the results of the analysis using FIT3D with those provided by other widely used packages, and we find that the parameters derived by FIT3D are fully compatible with those derived using these other tools.

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EMIR (Balcells et al. 2000) is a near-infrared wide-field camera and multi-object spectrograph being built for the GTC. The Data Reduction Pipeline (DRP) will be optimized for handling and reducing near-infrared data acquired with EMIR.

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The Alaska Natural Gas Pipeline (ANGP) is proposed for construction on the North Slope in 2016. It will be aligned through Arctic caribou habitat and evidence shows that caribou are negatively affected by human development. This Capstone identifies potential adverse affects of ANGP on Arctic caribou using interviews from expert caribou biologists and the 1977 Trans-Alaska Pipeline System (TAPS) as a model. Based on a synthesis of the interviews and TAPS analysis, this capstone proposes and examines a set of seventeen conservation measures to be implemented during construction and operation of ANGP to minimize adverse impacts on caribou herds. These conservation measures can be used as a baseline for future developments on the North Slope to promote caribou herd management.

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The petroleum pipeline industry in the United States is challenged with maintaining the integrity of their pipelines, while also protecting the environment during any pipeline repairs. This project provides information on the activities relating to the industry Integrity Management Program, assesses the process that federal agencies are developing to create streamlined permitting processes, and if the necessary federal, state, and local wetland permits can be obtained in the time frame required by the law. Recommendations are also made for implementation of a fast-track wetland permitting process and what pipeline companies can do to speed up the permitting process. This project focuses on the refined petroleum pipelines that originate near the Gulf of Mexico and terminate in the Northeastern United States.

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In this project, we propose the implementation of a 3D object recognition system which will be optimized to operate under demanding time constraints. The system must be robust so that objects can be recognized properly in poor light conditions and cluttered scenes with significant levels of occlusion. An important requirement must be met: the system must exhibit a reasonable performance running on a low power consumption mobile GPU computing platform (NVIDIA Jetson TK1) so that it can be integrated in mobile robotics systems, ambient intelligence or ambient assisted living applications. The acquisition system is based on the use of color and depth (RGB-D) data streams provided by low-cost 3D sensors like Microsoft Kinect or PrimeSense Carmine. The range of algorithms and applications to be implemented and integrated will be quite broad, ranging from the acquisition, outlier removal or filtering of the input data and the segmentation or characterization of regions of interest in the scene to the very object recognition and pose estimation. Furthermore, in order to validate the proposed system, we will create a 3D object dataset. It will be composed by a set of 3D models, reconstructed from common household objects, as well as a handful of test scenes in which those objects appear. The scenes will be characterized by different levels of occlusion, diverse distances from the elements to the sensor and variations on the pose of the target objects. The creation of this dataset implies the additional development of 3D data acquisition and 3D object reconstruction applications. The resulting system has many possible applications, ranging from mobile robot navigation and semantic scene labeling to human-computer interaction (HCI) systems based on visual information.

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Since taking power in 2009, the Alliance for European Integration (AIE) has been trying to end Moldova’s dependence on Russian gas. Currently, natural gas accounts for about 50% of the country’s energy balance (excluding Transnistria), and Gazprom has a monopoly on the supply of gas to the republic. The key element of Chișinău’s diversification project is the construction of the Iasi-Ungheni pipeline, which is designed to link the Moldovan and Romanian gas transmission networks, and consequently make it possible for Moldova to purchase gas from countries other than Russia. Despite significant delays, construction work on the interconnector began in August 2013. The Moldovan government sees ensuring energy independence from Russia as its top priority. The significance and urgency of the project reflect Chișinău’s frustration at Moscow’s continued attempts to use its monopoly of Moldova’s energy sector to exert political pressure on the republic. Nonetheless, despite numerous declarations by Moldovan and Romanian politicians, the Iasi- -Ungheni pipeline will not end Moldova’s dependence on Russian gas before the end of the current decade. This timeframe is unrealistic for two reasons: first, because an additional gas pipeline from Ungheni to Chisinau and a compression station must be constructed, which will take at least five years and will require significant investment; and second, because of the unrelenting opposition to the project coming from Gazprom, which currently controls Moldova’s pipelines and will likely try to torpedo any energy diversification attempts. Independence from Russian gas will only be possible after the the Gazprom-controlled Moldova-GAZ, the operator of the Moldovan transmission network and the country’s importer of natural gas, is divided. The division of the company has in fact been envisaged in the EU’s Third Energy Package, which is meant to be implemented by Moldova in 2020.

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