196,607 research outputs found
EMI-EGI SLA
No full textThis is the SLA between EMI and EGI describing the agreed service levels for the provision of support and software release services from EM
COARSE POINT CLOUD REGISTRATION BY EGI MATCHING OF VOXEL CLUSTERS
No full textLaser scanning samples the surface geometry of objects efficiently and records versatile information as point clouds. However, often
more scans are required to fully cover a scene. Therefore, a registration step is required that transforms the different scans into a
common coordinate system. The registration of point clouds is usually conducted in two steps, i.e. coarse registration followed by fine
registration. In this study an automatic marker-free coarse registration method for pair-wise scans is presented. First the two input point
clouds are re-sampled as voxels and dimensionality features of the voxels are determined by principal component analysis (PCA). Then
voxel cells with the same dimensionality are clustered. Next, the Extended Gaussian Image (EGI) descriptor of those voxel clusters are
constructed using significant eigenvectors of each voxel in the cluster. Correspondences between clusters in source and target data are
obtained according to the similarity between their EGI descriptors. The random sampling consensus (RANSAC) algorithm is employed
to remove outlying correspondences until a coarse alignment is obtained. If necessary, a fine registration is performed in a final step.
This new method is illustrated on scan data sampling two indoor scenarios. The results of the tests are evaluated by computing the
point to point distance between the two input point clouds. The presented two tests resulted in mean distances of 7.6 mm and 9.5 mm
respectively, which are adequate for fine registration
G-NEMO: a Grid empowered version of the state-of-the-art European modelling framework for oceanographic research
No full textThe availability of computer power on Grid platforms has prompted the implementation
of complex codes on distributed systems and, consequently, the development of
appropriate visual interfaces and tools able to minimize the skills requested to the
final user to carry out massive Grid calculations. In this work the Nucleus for
European Modelling of the Ocean (NEMO) package has been implemented on the Italian
Grid Initiative (IGI) infrastructure making use of the IGI web portal. NEMO is
developed by a European Consortium established between CNRS (F), Mercator-Ocean (F),
NERC (UK), UKMO (UK) and since 2011 CMCC (I) and INGV (I). The work has been carried
out within a collaboration with the User Support Unit of IGI and the National Group
for Operational Oceanography (GNOO) at National Institute of Geophysics and
Vulcanology (INGV) and benefits of the activities of a more general project developed
inside IGI aimed at deploying a scalable, reliable and easy-to-use HPC distributed
platform
Cash Flow Performance of Fannie Mae Multifamily Real Estate: Evidence from Repeated NOI and EGI Indices
No full textUsing a unique dataset of building operating statements from Fannie Mae, we develop repeated measures regression (RMR) indices for NOI, EGI and PGI to track the cash flow performance of Fannie Mae-financed multifamily real estate. Our three-stage RMR estimate shows an average NOI growth of about 1.8 % during 1993–2011, which is lower than inflation rate and significantly lower than what is usually perceived by investors. Based on the RMR estimates, we find that the whole portfolio of Fannie Mae multifamily properties outperforms NCREIF multifamily properties in NOI growth, especially during the 2000–2001 recession and the Great Recession, which helps explain the superior performance of Fannie Mae multifamily mortgage loans during the recent crisis. In the cross section, multifamily properties in supply-constrained areas have substantially larger NOI growth. Workforce housing performs better than low-income housing even after we control for locational differences and property features. We do not find a size effect in NOI growth once we control for supply constraints. We also find EGI growth to be much less volatile than NOI growth, which implies that changes in operating expenses are the main driving factor of the cyclicality of NOI. Operating expenses also tend to be pro-cyclical – they grow faster during recessions. EGI growth (decline) leads PGI growth (decline), which supports the stock-flow model of rental adjustment where vacancy changes before rent. From a methodological perspective, we find that the conventional methods such as simple average and weighted average over-estimate multifamily NOI growth, likely due to significant sample selection bias and outlier influence. In contrast, the RMR indices control for changes in property quality and are much more robust in the presence of data errors and outliers
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
No full text"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Dr. Glendon Swarthout
No full textHosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
Effects of Sorghum [Sorghum bicolor (L.) Moench] Crude Extracts on Starch Digestibility, Estimated Glycemic Index (EGI), and Resistant Starch (RS) Contents of Porridges
No full textBran extracts (70% aqueous acetone) of specialty sorghum varieties (tannin, black, and black with tannin) were used to investigate the effects of sorghum phenolic compounds on starch digestibility, Estimated Glycemic Index (EGI), and Resistant Starch (RS) of porridges made with normal corn starch, enzyme resistant high amylose corn starch, and ground whole sorghum flours. Porridges were cooked with bran extracts in a Rapid Visco-analyser (RVA). The cooking trials indicated that bran extracts of phenolic-rich sorghum varieties significantly reduced EGI, and increased RS contents of porridges. Thus, there could be potential health benefits associated with the incorporation of phenolic-rich sorghum bran extracts into foods to slow starch digestion and increase RS content
A novel DPV as a holistic platform for real-time physiological status assessment of divers
No full textThis paper presents the work performed to integrate a sensors network to a more complex and extensive system, represented by the architecture that constitutes the main output of the DiveSafe European project (G.A. EASME/EMFF/2017/1.2.1.12/SI/02/ SI2.789635). The latter also includes an underwater scooter, a Docking Station, a tablet and a whole communication system between the surface and the underwater environment in which the diver is located, as well as a remote server that also allows the execution of 3D reconstruction of the appropriately photographed environment. The sensors system presented here allows to monitor the main indicators of the diver's health during underwater activities. Through these sensors, it is therefore possible to real-time monitor physiological values such as breath rate, heartbeat and glucose levels, as well as to provide information on the decompression phases execution, in order to safely ascend once the underwater work is finished. The electronic components are located inside a special waterproof box that the diver wears at the height of the belt. The main sensors have been validated, motivating the choices made
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