26 papers · ranked by Valyu relevance
Susanne Sandell, Daniel Bjerkehagen, Bjørn Birkeland, Iver Bakken Sperstad
Specifications Table 1. • Although many grid models are available online, they are typically test grids that are not representing a real grid. The strength of the grid and load data described in this article is that they describe a real, Norwegian grid with both commercial and industry loads, with hourly load data…
Tanvir Ahmed, Mohammad Saiedur Rahaman, Mohammad Saidur Rahman, Manzur H. Khan
'Manzur H. Khan'] Abstract — Grid services are heavily used for handling large distributed computations. They are also very useful to handle heavy data intensive applications where data are distributed in different sites. Most of the data grid services used in such situations are meant for homogeneous data source. In…
Iver Bakken Sperstad, Olav Bjarte Fosso, Sigurd Hofsmo Jakobsen, Arnt Ove Eggen + 2 more
'Arnt Ove Eggen' 'Julie Helen Evenstuen' 'Gerd Kjølle'] This article describes a reference data set for a representative Norwegian radial, medium voltage (MV) electric power distribution system operated at 22 kV. The data set is developed in the Norwegian research centre CINELDI and will in brief be referred to as the…
Marcin P Joachimiak, Jennifer L Weisman, Barnaby CH May
Background Two-dimensional data colourings are an effective medium by which to represent three-dimensional data in two dimensions. Such "color-grid" representations have found increasing use in the biological sciences (e.g. microarray 'heat maps' and bioactivity data) as they are particularly suited to complex data…
Catherine J Staes, Wu Xu, Samuel D LeFevre, Ronald C Price + 6 more
'Scott P Narus' 'Adi Gundlapalli' 'Robert Rolfs' 'Barry Nangle' 'Matthew Samore' 'Julio C Facelli'] This paper presents the rationale for designing and implementing the next-generation of public health information systems using grid computing concepts and tools. Our attempt is to evaluate all grid types including data…
Nhien‐An Le‐Khac, Tahar Kechadi, Joe Carthy
Knowledge Grid (KG) is a framework for implementing distributed knowledge discovery. This framework aims to deal with multi-owned, heterogeneous data. This project is developed by Cannataro el al. at University "Magna Graecia" of Catanzaro, Italy. The architecture of KG is composed of two layers: Core K-Grid and High…
Steffen Meinecke, Leon Thurner, Martin Braun
Publicly available grid datasets with electric steady-state equivalent circuit models are crucial for the development and comparison of a variety of power system simulation tools and algorithms. Such algorithms are essential to analyze and improve the integration of distributed energy resources (DERs) in electrical…
Paulo C Carvalho, Rafael V Glória, Antonio B de Miranda, Wim M Degrave
'Wim M Degrave'] Background BLAST is a widely used genetic research tool for analysis of similarity between nucleotide and protein sequences. This paper presents a software application entitled "Squid" that makes use of grid technology. The current version, as an example, is configured for BLAST applications, but…
Matthias Stangl, Jonathan Shine, Thomas Wolbers
Human fMRI studies examining the putative firing of grid cells (i.e., the grid code) suggest that this cellular mechanism supports not only spatial navigation, but also more abstract cognitive processes. This research area, however, remains relatively unexplored, perhaps us to the complexities of data analysis. To…
Martin Alkämper, Andreas Dedner, Robert Klöfkorn, Martin Nolte
In this paper we present the new Dune-ALUGrid module. This module contains a major overhaul of the sources from the ALUGrid library and the binding to the Dune software framework. The main improvements concern the parallel feature set of the library. The main changes include user-defined load balancing, parallel grid…
Noah Rhodes
— Data visualization is essential for developing an understanding of a complex system. The power grid is one of the most complex systems in the world and effective power grid research visualization software must 1) be easy to use, 2) support unique data that may arise in research, and 3) be capable of creating custom…
Heetae Kim, David Olave-Rojas, Eduardo Álvarez-Miranda, Seung-Woo Son
'Seung-Woo Son'] Network science enables us to improve the performance of complex systems such as traffic, communication, and power grids. To do so, it is necessary to use a well-constructed flawless network dataset associated with the system of interest. In this study, we present the dataset of the Chilean power grid.…
William T. Redman, Santiago Acosta-Mendoza, Xue-Xin Wei, Michael J. Goard
Although grid cells have become one of the most well studied functional classes of neurons in the mammalian brain, the assumption that there is a single grid orientation and spacing per module has remained untested. We investigate and analyze a recent large-scale recording of medial entorhinal cortex to characterize…
Anchi Cheng, Paul Kim, Huihui Kuang, Joshua H. Mendez + 12 more
Single particle cryo-electron microscopy (cryoEM) is a swiftly growing method for understanding protein structure. With increasing demand for high-throughput, high-resolution cryoEM services comes greater demand for rapid and automated cryoEM grid and sample screening. During screening, optimal grids and sample…
Ruizhi Zhang, Sohan Seth, James Cumby
Determining how similar two materials are in terms of both atomic composition and crystallographic structure remains a challenge, the solution of which would enable generalised machine learning using crystal structure data. We demonstrate a new method of describing crystal structures based on interatomic distances…
Luise P. Graichen, Magdalena S. Linder, Lars Keuter, Ole Jensen + 4 more
Eye movements, such as saccades, allow us to gather information about the environment and, in this way, can shape memory. In non-human primates, saccades are associated with the activity of grid cells in the entorhinal cortex. Grid cells are essential for spatial navigation, but whether saccade-based grid-like signals…
Matheus Müller Pereira da Silva, Isabella Alvim Guedes, Fábio Lima Custódio, Laurent Emmanuel Dardenne
A critical aspect of successful deep learning (DL) modelling in computer-aided drug discovery (CADD) is the representation of biomolecular data. Voxel grid representations have emerged as a straightforward method for depicting 3D molecular structures of protein-ligand complexes. Proper structural preparation of these…
Maximilian T. Fischer, Daniel A. Keim
With the ongoing emergence of smart and distributed grids, it becomes increasingly important to understand as well as improve legacy infrastructure while operating a much more interconnected and fragile architecture. To support this endeavor, a detailed simulation and real-life analysis are required. Leveraging…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Yudong Qiu, Daniel Smith, Chaya Stern, Mudong Feng + 1 more
The parameterization of torsional / dihedral angle potential energy terms is a crucial part of developing molecular mechanics force fields. Quantum mechanical (QM) methods are often used to provide samples of the potential energy surface (PES) for fitting the empirical parameters in these force field terms. To ensure…
John Foreman, Rammohan K. Ragade, James H. Graham
– Intelligent power grid research, i.e. smart grid, involves many simultaneous users spread over a relatively large geographical area. A tool for advancing research and community education is presented utilizing large-scale visualization centers, e.g. planetariums, in simulating smart grid interactions. This approach…
Dylan Wood, Margaret King, Drew Landis, William Courtney + 4 more
'Runtang Wang' 'Ross Kelly' 'Jessica A. Turner' 'Vince D. Calhoun'] Neuroscientists increasingly need to work with big data in order to derive meaningful results in their field. Collecting, organizing and analyzing this data can be a major hurdle on the road to scientific discovery. This hurdle can be lowered using the…
Natasha Stander, Petra Fromme, Nadia Zatsepin
DatView is a new graphical user interface for simplifying analysis by facilitating plotting parameters and exporting selections from large serial crystallography data sets.
Adina S. Wagner, Laura K. Waite, Małgorzata Wierzba, Felix Hoffstaedter + 4 more
Large-scale datasets present unique opportunities to perform scientific investigations with unprecedented breadth. However, they also pose considerable challenges for the findability, accessibility, interoperability, and reusability (FAIR) of research outcomes due to infrastructure limitations, data usage constraints…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Joshua Horton, Simon Boothroyd, Jeffrey Wagner, Joshua Mitchell + 9 more
The development of accurate transferable force fields is key to realizing the full potential of atomistic modelling in the study of biological processes such as protein--ligand binding for drug discovery. State-of-the-art transferable force fields, such as those produced by the Open Force Field Initiative, use modern…