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Relevant bibliographies by topics / Databases and Grids

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Academic literature on the topic 'Databases and Grids'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "Databases and Grids"

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Subramanyam, R. B. V., and A. Goswami. "Mining Frequent Fuzzy Grids in Dynamic Databases with Weighted Transactions and Weighted Items." Journal of Information & Knowledge Management 05, no. 03 (September 2006): 243–57. http://dx.doi.org/10.1142/s0219649206001487.

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Incremental mining algorithms that derive the latest mining output by making use of previous mining results are attractive to business organisations. In this paper, a fuzzy data mining algorithm for incremental mining of frequent fuzzy grids from quantitative dynamic databases is proposed. It extends the traditional association rule problem by allowing a weight to be associated with each item in a transaction and with each transaction in a database to reflect the interest/intensity of items and transactions. It uses the information about fuzzy grids that are already mined from original database and avoids start-from-scratch process. In addition, we deal with "weights-of-significance" which are automatically regulated as the incremental databases are evolved and implant themselves in the original database. We maintain "hopeful fuzzy grids" and "frequent fuzzy grids" and our algorithm changes the status of the grids which have been discovered earlier so that they reflect the pattern drift in the updated quantitative databases. Our heuristic approach avoids maintaining many "hopeful fuzzy grids" at the initial level. The algorithm is illustrated with one numerical example and demonstration of experimental results are also incorporated.

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Breton, V., I. E. Magnin, and J. Montagnat. "Partitioning Medical Image Databases for Content-based Queries on a Grid." Methods of Information in Medicine 44, no. 02 (2005): 154–60. http://dx.doi.org/10.1055/s-0038-1633937.

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Summary Objectives: In this paper we study the impact of executing a medical image database query application on the grid. For lowering the total computation time, the image database is partitioned into subsets to be processed on different grid nodes. Methods: A theoretical model of the application complexity and estimates of the grid execution overhead are used to efficiently partition the database. Results: We show results demonstrating that smart partitioning of the database can lead to significant improvements in terms of total computation time. Conclusions: Grids are promising for content-based image retrieval in medical databases.

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Paventhan, A., Kenji Takeda, Simon J. Cox, and Denis A. Nicole. "Federated Database Services for Wind Tunnel Experiment Workflows." Scientific Programming 14, no. 3-4 (2006): 173–84. http://dx.doi.org/10.1155/2006/729069.

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Enabling the full life cycle of scientific and engineering workflows requires robust middleware and services that support effective data management, near-realtime data movement and custom data processing. Many existing solutions exploit the database as a passive metadata catalog. In this paper, we present an approach that makes use of federation of databases to host data-centric wind tunnel application workflows. The user is able to compose customized application workflows based on database services. We provide a reference implementation that leverages typical business tools and technologies: Microsoft SQL Server for database services and Windows Workflow Foundation for workflow services. The application data and user's code are both hosted in federated databases. With the growing interest in XML Web Services in scientific Grids, and with databases beginning to support native XML types and XML Web services, we can expect the role of databases in scientific computation to grow in importance.

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Minty, Brian R. S., Peter R. Milligan, Tony Luyendyk, and Timothy Mackey. "Merging airborne magnetic surveys into continental‐scale compilations." GEOPHYSICS 68, no. 3 (May 2003): 988–95. http://dx.doi.org/10.1190/1.1581070.

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Regional compilations of airborne magnetic data are becoming more common as national databases grow. Grids of the magnetic survey data are joined together to form geological province‐scale or even continental‐scale compilations. The advantage of these compilations is that large tectonic features and geological provinces can be better mapped and interpreted. We take a holistic approach to the joining of survey grids. The leveling of the grids into a regional compilation is treated as a single inverse problem. We use the weighted least‐squares method to find the best adjustment for each survey grid such that the data value differences in the grid overlap areas are minimized. The method spreads any inconsistencies between grids among all of the grid overlap areas and minimizes the introduction of long‐wavelength errors into the composite grid. This is an improvement on the conventional approach of joining grids sequentially. A comparison of leveled data over Western Australia with diurnally‐corrected long aeromagnetic traverses shows long‐wavelength errors of about 200 nT over distances of more than 5000 km. This is an improvement on the sequential grid‐joining method, which gives errors of about 450 nT over the same distance. The application of the method to a smaller area covered by good quality surveys resulted in long‐wavelength errors of about 30 nT over a distance of 1200 km. This is within the estimated accuracy of the original survey measurements. The new method is also fast—what used to take many weeks of effort can now be achieved in a matter of hours.

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Bai, Yi Ming, Xian Yao Meng, and Xin Jie Han. "Mining Fuzzy Association Rules in Quantitative Databases." Applied Mechanics and Materials 182-183 (June 2012): 2003–7. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.2003.

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In this paper, we introduce a novel technique for mining fuzzy association rules in quantitative databases. Unlike other data mining techniques who can only discover association rules in discrete values, the algorithm reveals the relationships among different quantitative values by traversing through the partition grids and produces the corresponding Fuzzy Association Rules. Fuzzy Association Rules employs linguistic terms to represent the revealed regularities and exceptions in quantitative databases. After the fuzzy rule base is built, we utilize the definition of Support Degree in data mining to reduce the rule number and save the useful rules. Throughout this paper, we will use a set of real data from a wine database to demonstrate the ideas and test the models.

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Estrella, F., C. del Frate, T. Hauer, M. Odeh, D. Rogulin, S. R. Amendolia, D. Schottlander, T. Solomonides, R. Warren, and R. McClatchey. "Resolving Clinicians’ Queries Across a Grid’s Infrastructure." Methods of Information in Medicine 44, no. 02 (2005): 149–53. http://dx.doi.org/10.1055/s-0038-1633936.

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Summary Objectives: The past decade has witnessed order of magnitude increases in computing power, data storage capacity and network speed, giving birth to applications which may handle large data volumes of increased complexity, distributed over the internet. Methods: Medical image analysis is one of the areas for which this unique opportunity likely brings revolutionary advances both for the scientist’s research study and the clinician’s everyday work. Grids [1] computing promises to resolve many of the difficulties in facilitating medical image analysis to allow radiologists to collaborate without having to co-locate. Results: The EU-funded MammoGrid project [2] aims to investigate the feasibility of developing a Grid-enabled European database of mammograms and provide an information infrastructure which federates multiple mammogram databases. This will enable clinicians to develop new common, collaborative and co-operative approaches to the analysis of mammographic data. Conclusion: This paper focuses on one of the key requirements for large-scale distributed mammogram analysis: resolving queries across a grid-connected federation of images.

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Paiva, L. M. S., G. C. R. Bodstein, and L. C. G. Pimentel. "Influence of high-resolution surface databases on the modeling of local atmospheric circulation systems." Geoscientific Model Development Discussions 6, no. 4 (December 16, 2013): 6659–715. http://dx.doi.org/10.5194/gmdd-6-6659-2013.

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Abstract. Large-eddy simulations are performed using the Advanced Regional Prediction System (ARPS) code at horizontal grid resolutions as fine as 300 m to assess the influence of detailed and updated surface databases on the modeling of local atmospheric circulation systems of urban areas with complex terrain. Applications to air pollution and wind energy are sought. These databases are comprised of 3 arc-sec topographic data from the Shuttle Radar Topography Mission, 10 arc-sec vegetation type data from the European Space Agency (ESA) GlobCover Project, and 30 arc-sec Leaf Area Index and Fraction of Absorbed Photosynthetically Active Radiation data from the ESA GlobCarbon Project. Simulations are carried out for the Metropolitan Area of Rio de Janeiro using six one-way nested-grid domains that allow the choice of distinct parametric models and vertical resolutions associated to each grid. ARPS is initialized using the Global Forecasting System with 0.5°-resolution data from the National Center of Environmental Prediction, which is also used every 3 h as lateral boundary condition. Topographic shading is turned on and two soil layers with depths of 0.01 and 1.0 m are used to compute the soil temperature and moisture budgets in all runs. Results for two simulated runs covering the period from 6 to 7 September 2007 are compared to surface and upper-air observational data to explore the dependence of the simulations on initial and boundary conditions, topographic and land-use databases and grid resolution. Our comparisons show overall good agreement between simulated and observed data and also indicate that the low resolution of the 30 arc-sec soil database from United States Geological Survey, the soil moisture and skin temperature initial conditions assimilated from the GFS analyses and the synoptic forcing on the lateral boundaries of the finer grids may affect an adequate spatial description of the meteorological variables.

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Fox, Geoffrey, Shrideep Pallickara, Marlon Pierce, and Harshawardhan Gadgil. "Building messaging substrates for Web and Grid applications." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 363, no. 1833 (July 18, 2005): 1757–73. http://dx.doi.org/10.1098/rsta.2005.1605.

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Grid application frameworks have increasingly aligned themselves with the developments in Web services. Web services are currently the most popular infrastructure based on service-oriented architecture (SOA) paradigm. There are three core areas within the SOA framework: (i) a set of capabilities that are remotely accessible, (ii) communications using messages and (iii) metadata pertaining to the aforementioned capabilities. In this paper, we focus on issues related to the messaging substrate hosting these services; we base these discussions on the NaradaBrokering system. We outline strategies to leverage capabilities available within the substrate without the need to make any changes to the service implementations themselves. We also identify the set of services needed to build Grids of Grids. Finally, we discuss another technology, HPS earch , which facilitates the administration of the substrate and the deployment of applications via a scripting interface. These issues have direct relevance to scientific Grid applications, which need to go beyond remote procedure calls in client-server interactions to support integrated distributed applications that couple databases, high performance computing codes and visualization codes.

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Dieulin, Claudine, Gil Mahé, Jean-Emmanuel Paturel, Soundouss Ejjiyar, Yves Tramblay, Nathalie Rouché, and Bouabid EL Mansouri. "A New 60-year 1940/1999 Monthly-Gridded Rainfall Data Set for Africa." Water 11, no. 2 (February 22, 2019): 387. http://dx.doi.org/10.3390/w11020387.

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The African continent has a very low density of rain gauge stations, and long time-seriesfor recent years are often limited and poorly available. In the context of global change, it is veryimportant to be able to characterize the spatio-temporal variability of past rainfall, on the basis ofdatasets issued from observations, to correctly validate simulations. The quality of the rainfall datais for instance of very high importance to improve the efficiency of the hydrological modeling,through calibration/validation experiments.The HydroSciences Montpellier Laboratory (HSM) has a long experience in collecting andmanaging hydro-climatological data. Thus, HSM had initiated a program to elaborate a referencedataset, in order to build monthly rainfall grids over the African continent, over a period of 60 years(1940/1999). The large quantity of data collected (about 7,000 measurement points were used in thisproject) allowed for interpolation using only observed data, with no statistical use of a referenceperiod. Compared to other databases that are used to build the grids of the Global HistoricalClimatology Network (GHCN) or the Climatic Research Unit of University of East Anglia, UK (CRU),the number of available observational stations (a was significantly much higher, including the end ofthe century when the number of measurement stations dropped dramatically, everywhere.Inverse distance weighed (IDW) was the chosen method to build the 720 monthly grids and amean annual grid, from rain gauges. The mean annual grid was compared to the CRU grid. The gridswere significantly different in many places, especially in North Africa, Sahel, the horn of Africa, andthe South Western coast of Africa, with HSM_SIEREM data (database HydroSciencesMontpellier_Système d’Information Environnementales pour les Ressources en Eau et leurModélisation) being closer to the observed rain gauge values. The quality of the grids computed waschecked, following two approaches—cross-validation of the two interpolation methods, ordinarykriging and inverse distance weighting, which gave a comparable reliability, with regards to theobserved data, long time-series analysis, and analysis of long-term signals over the continent,compared to previous studies. The statistical tests, computed on the observed and gridded data,detected a rupture in the rainfall regime around 1979/1980, on the scale of the whole continent; thiswas congruent with the results in the literature. At the monthly time-scale, the most widely observedsignal over the period of 1940/1999, was a significant decrease of the austral rainy season betweenMarch and May, which has not earlier been well-documented. Thus, this would lead to a furtherdetailed climatological study from this HSM_SIEREM database.

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Bradley, J. "Short Notes: Join Dependencies in Relational Databases and the Geometry of Spatial Grids." Computer Journal 29, no. 4 (April 1, 1986): 378–79. http://dx.doi.org/10.1093/comjnl/29.4.378.

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Dissertations / Theses on the topic "Databases and Grids"

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Venugopal, Srikumar. "Scheduling distributed data-intensive applications on global grids /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/0002929.

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Sonmez, Sunercan Hatice Kevser. "Data Integration Over Horizontally Partitioned Databases In Service-oriented Data Grids." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612414/index.pdf.

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Information integration over distributed and heterogeneous resources has been challenging in many terms: coping with various kinds of heterogeneity including data model, platform, access interfaces
coping with various forms of data distribution and maintenance policies, scalability, performance, security and trust, reliability and resilience, legal issues etc. It is obvious that each of these dimensions deserves a separate thread of research efforts. One particular challenge among the ones listed above that is more relevant to the work presented in this thesis is coping with various forms of data distribution and maintenance policies. This thesis aims to provide a service-oriented data integration solution over data Grids for cases where distributed data sources are partitioned with overlapping sections of various proportions. This is an interesting variation which combines both replicated and partitioned data within the same data management framework. Thus, the data management infrastructure has to deal with specific challenges regarding the identification, access and aggregation of partitioned data with varying proportions of overlapping sections. To provide a solution we have extended OGSA-DAI DQP, a well-known service-oriented data access and integration middleware with distributed query processing facilities, by incorporating UnionPartitions operator into its algebra in order to cope with various unusual forms of horizontally partitioned databases. As a result
our solution extends OGSA-DAI DQP, in two points
1 - A new operator type is added to the algebra to perform a specialized union of the partitions with different characteristics, 2 - OGSA-DAI DQP Federation Description is extended to include some more metadata to facilitate the successful execution of the newly introduced operator.

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Fomkin, Ruslan. "Optimization and Execution of Complex Scientific Queries." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9514.

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Ahmed, Ejaz. "A grid enabled staging DBMS method for data Mapping, Matching & Loading." Thesis, University of Bedfordshire, 2011. http://hdl.handle.net/10547/204951.

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This thesis is concerned with the need to deal with data anomalies, inconsistencies and redundancies within the context of data integration in grids. A data Mapping, Matching and Loading (MML) process that is based on the Grid Staging Catalogue Service (MML-GSCATS) method is identified. In particular, the MML-GSCATS method consists of the development of two mathematical algorithms for the MML processes. Specifically it defines an intermediate data storage staging facility in order to process, upload and integrate data from various small to large size data repositories. With this in mind, it expands the integration notion of a database management system (DBMS) to include the MML-GSCATS method in traditional distributed and grid environments. The data mapping employed is in the form of value correspondences between source and target databases whilst data matching consolidates distinct catalogue schemas of federated databases to access information seamlessly. There is a need to deal with anomalies and inconsistencies in the grid, MML processes are applied using a healthcare case study with developed scenarios. These scenarios were used to test the MML-GSCATS method with the help of software prototyping toolkit. Testing has set benchmarks, performance, reliability and error detections (anomalies and redundancies). Cross-scenario data sets were formulated and results of scenarios were compared with benchmarking. These benchmarks help in comparing the MMLGSCATS methodology with traditional and current grid methods. Results from the testing and experiments demonstrate that the MML-GSCATS is a valid method for identifying data anomalies, inconsistencies and redundancies that are produced during loading. Testing results indicates the MML-GSCATS is better than traditional methods.

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Xiang, Helen X. "A grid-based distributed database solution for large astronomy datasets." Thesis, University of Portsmouth, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494003.

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The volume of digital astronomical data is set to expand dramatically over the next ten years, as new satellites, telescopes and instruments come online. For example, both the VISTA [156] and DES [29] programmes will yield databases 20-30 terabytes in size in the coming decade. Storing and accessing such large datasets will be challenging, especially as scientific analysis will require coordinated use of several of these separate multi-terabyte databases, since they will contain complementary data, typically from observations made in different regions of the spectrum. We are exploring the use of emerging distributed database technologies for the management and manipulation of very large astronomical datasets.

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Taratoris, Evangelos. "A single-pass grid-based algorithm for clustering big data on spatial databases." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113168.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 79-80).
The problem of clustering multi-dimensional data has been well researched in the scientific community. It is a problem with wide scope and applications. With the rapid growth of very large databases, traditional clustering algorithms become inefficient due to insufficient memory capacity. Grid-based algorithms try to solve this problem by dividing the space into cells and then performing clustering on the cells. However these algorithms also become inefficient when even the grid becomes too large to be saved in memory. This thesis presents a new algorithm, SingleClus, that is performing clustering on a 2-dimensional dataset with a single pass of the dataset. Moreover, it optimizes the amount of disk I/0 operations while making modest use of main memory. Therefore it is theoretically optimal in terms of performance. It modifies and improves on the Hoshen-Kopelman clustering algorithm while dealing with the algorithm's fundamental challenges when operating in a Big Data setting.
by Evangelos Taratoris.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science

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Hu, Zhengyu, and D. Phillip Guertin. "The Effect of GIS Database Grid Size on Hydrologic Simulation Results." Arizona-Nevada Academy of Science, 1991. http://hdl.handle.net/10150/296461.

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From the Proceedings of the 1991 Meetings of the Arizona Section - American Water Resources Association and the Hydrology Section - Arizona-Nevada Academy of Science - April 20, 1991, Northern Arizona University, Flagstaff, Arizona
The use of geographic information systems (GIS) for assessing the hydrologic effects of management is increasing. In the near future most of our spatial or "mapped" information will come from GIS. The direct linkage of hydrologic simulation models to GIS should make the assessment process more efficient and powerful, allowing managers to quickly evaluate different landscape designs. This study investigates the effect the resolution of GIS databases have on hydrological simulation results from an urban watershed. The hydrologic model used in the study was the Soil Conservation Service Curve Number Model which computes the volume of runoff from rainfall events. A GIS database was created for High School Wash, a urban watershed in Tucson, Arizona. Fifteen rainfall-runoff events were used to test the simulation results. Five different grid sizes, ranging from 25x25 square feet to 300x300 square feet were evaluated. The results indicate that the higher the resolution the better the simulation results. The average ratio of simulated over observed runoff volumes ranged from 0.98 for the 25x25 square feet case to 0.43 for the 300x300 square feet case.

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Rokhsari, Mirfakhradin Derakhshan. "A development of the grid file for the storage of binary relations." Thesis, Birkbeck (University of London), 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388717.

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Xu, Kai. "Database support for multi-resolution terrain models /." St. Lucia, Qld, 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17869.pdf.

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Paventhan, Arumugam. "Grid approaches to data-driven scientific and engineering workflows." Thesis, University of Southampton, 2007. https://eprints.soton.ac.uk/49926/.

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Enabling the full life cycle of scientific and engineering workflows requires robust middleware and services that support near-realtime data movement, high-performance processing and effective data management. In this context, we consider two related technology areas: Grid computing which is fast emerging as an accepted way forward for the large-scale, distributed and multi-institutional resource sharing and Database systems whose capabilities are undergoing continuous change providing new possibilities for scientific data management in Grid. In this thesis, we look into the challenging requirements while integrating data-driven scientific and engineering experiment workflows onto Grid. We consider wind tunnels that house multiple experiments with differing characteristics, as an application exemplar. This thesis contributes two approaches while attempting to tackle some of the following questions: How to allow domain-specific workflow activity development by hiding the underlying complexity? Can new experiments be added to the system easily? How can the overall turnaround time be reduced by an end-to-end experimental workflow support? In the first approach, we show how experiment-specific workflows can help accelerate application development using Grid services. This has been realized with the development of MyCoG, the first Commodity Grid toolkit for .NET supporting multi-language programmability. In the second , we present an alternative approach based on federated database services to realize an end-to-end experimental workflow. We show with the help of a real-world example, how database services can be building blocks for scientific and engineering workflows.

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Books on the topic "Databases and Grids"

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C, Leung Clement H., and Rahayu Johanna Wenny, eds. High performance parallel database processing and grid databases. Hoboken, N.J: J. Wiley, 2008.

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GSEM 2004 (2004 Erfurt, Germany). Grid services engineering and management: First international conference, GSEM 2004, Erfurt, Germany, September 27-30, 2004 : proceedings. Berlin: Springer, 2004.

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Taniar, David, Clement H. C. Leung, Wenny Rahayu, and Sushant Goel. High-Performance Parallel Database Processing and Grid Databases. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2008. http://dx.doi.org/10.1002/9780470391365.

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Programme, United Nations Environment. GRID: Global Resource Information Database. Nairobi: United Nations Environment Programme, 1990.

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Grid and cloud database management. Heidelberg: Springer, 2011.

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Fiore, Sandro, and Giovanni Aloisio, eds. Grid and Cloud Database Management. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20045-8.

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Database, Global Resource Information. GRID, Global Resource Information Database, United Nations Environment Programme. Nairobi: Global Environment Monitoring System, United Nations Environment Programme, 1990.

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Database, Global Resource Information. GRID view: Questions and answers about the GRID programme. Nairobi, Kenya: Global Resource Information Database, United Nations Environment Programme, 1992.

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Bouzeghoub, Mokrane, Carole Goble, Vipul Kashyap, and Stefano Spaccapietra, eds. Semantics of a Networked World. Semantics for Grid Databases. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b102069.

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Eric, Yen, and SpringerLink (Online service), eds. Grid Computing: International Symposium on Grid Computing (ISGC 2007). Boston, MA: Springer US, 2009.

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Book chapters on the topic "Databases and Grids"

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Jeffery, Keith G. "GRIDS, Databases, and Information Systems Engineering Research." In Advances in Database Technology - EDBT 2004, 3–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24741-8_2.

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Talia, Domenico, Paolo Trunfio, and Oreste Verta. "Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids." In Knowledge Discovery in Databases: PKDD 2005, 309–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564126_32.

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Wöhrer, Alexander, and Peter Brezany. "Active Integration of Databases in Grids for Scalable Distributed Query Processing." In On the Move to Meaningful Internet Systems: OTM 2008, 762–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88871-0_53.

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Calvanese, Diego, Giuseppe De Giacomo, Maurizio Lenzerini, Riccardo Rosati, and Guido Vetere. "Hyper: A Framework for Peer-to-Peer Data Integration on Grids." In Semantics of a Networked World. Semantics for Grid Databases, 144–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30145-5_9.

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Aung, Zeyar. "Database Systems for the Smart Grid." In Smart Grids, 151–68. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5210-1_7.

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Voruganti, Kaladhar. "Storage Grid." In Encyclopedia of Database Systems, 3728–29. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1463.

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Voruganti, Kaladhar. "Storage Grid." In Encyclopedia of Database Systems, 2800–2802. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1463.

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Voruganti, Kaladhar. "Storage Grid." In Encyclopedia of Database Systems, 1–3. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1463-2.

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Jeffery, Keith G. "GRIDs and Ambient Computing." In Web, Web-Services, and Database Systems, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36560-5_1.

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Chen, Jinjun, and Yun Yang. "Grid and Workflows." In Encyclopedia of Database Systems, 1668–71. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1472.

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Conference papers on the topic "Databases and Grids"

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Huang, Zhe, Jiaxing Li, and Jingde Cheng. "A Meta-Database System Approach for Business Data Sharing among Multiple Target Databases." In 2019 15th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2019. http://dx.doi.org/10.1109/skg49510.2019.00037.

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Bast, Hannah, Patrick Brosi, and Sabine Storandt. "Metro Maps on Flexible Base Grids." In SSTD '21: 17th International Symposium on Spatial and Temporal Databases. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469830.3470899.

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Fiser, B., U. Onan, I. Elsayed, P. Brezany, and A. M. Tjoa. "On-line analytical processing on large databases managed by computational grids." In Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004. IEEE, 2004. http://dx.doi.org/10.1109/dexa.2004.1333533.

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Shen, Bojie, Muhammad Aamir Cheema, Daniel Harabor, and Peter J. Stuckey. "Euclidean Pathfinding with Compressed Path Databases." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/584.

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We consider optimal and anytime algorithms for the Euclidean Shortest Path Problem (ESPP) in two dimensions. Our approach leverages ideas from two recent works: Polyanya, a mesh-based ESPP planner which we use to represent and reason about the environment, and Compressed Path Databases, a speedup technique for pathfinding on grids and spatial networks, which we exploit to compute fast candidate paths. In a range of experiments and empirical comparisons we show that: (i) the auxiliary data structures required by the new method are cheap to build and store; (ii) for optimal search, the new algorithm is faster than a range of recent ESPP planners, with speedups ranging from several factors to over one order of magnitude; (iii) for anytime search, where feasible solutions are needed fast, we report even better runtimes.

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Koubogiannis, D. G., V. P. Iliadis, and K. C. Giannakoglou. "A Parallel CFD Tool to Produce Faulty Blade Signatures for Diagnostic Purposes." In ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/98-gt-169.

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In the turbomachinery field, many diagnostic systems utilize databases with symptoms corresponding to the most frequent operation faults. Thanks to Computational Fluid Dynamics (CFD), databases can be created without costly experiments, whereas the use of unstructured grids in combination with parallel processing makes the whole task easy and fast to accomplish. In this paper, a procedure that builds up a database for gas-turbine fault diagnosis is demonstrated. Advanced CFD tools that operate concurrently on multi-processor platforms are used. The so-prepared database contributes to the identification of faults through the analysis of the unsteady pressure signals that correspond to hypothetical sensors located in the inter-blade region. The pressure signals are post-processed in a similar way to the one experimentalists employ for fast-response pressure measurements. Symptoms related to displaced and/or twisted blades in an industrial high-speed compressor cascade, at design and off-design operating conditions, are analyzed.

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R. Ullón, Hernan, Luís F. Ugarte, Eduardo Lacusta Jr., and Madson C. de Almeida. "Characterization of load curves in a real distribution system based on K-MEANS algorithm with time-series data." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1189.

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The modernization of conventional distribution systems in smart grids leads us to face new challenges when dealing with extremely large databases, commonly called Big Data. The accuracy and volume of data have grown significantly with the introduction of Advanced Measurement Infrastructure (AMI). This generates a data tsunami used in different applications of power systems creating great computational efforts, as is the case with the use of a large database of load curves. Due to the patterns that are repeated annually in the demand for active and reactive power in distribution systems, it is necessary to use load clustering methodologies. Based on historical load data, this paper represents a comprehensive approach that uses data mining based on the K-Means clustering method in time-series data for the characterization of real load curves. Besides, a comparative analysis will be presented considering three different distance measurements. This data mining process is presented as a promising method for the recognition of patterns allowing to reduce large databases to some characteristic curves to reduce the computational burden in various applications of power systems. This clustering method is tested using a real database of distribution transformers at UNICAMP.

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Xu, Wenhao, Jing Li, Yongwei Wu, Xiaomeng Huang, and Guangwen Yang. "VDM: Virtual Database Management for Distributed Databases and File Systems." In 2008 Seventh International Conference on Grid and Cooperative Computing (GCC). IEEE, 2008. http://dx.doi.org/10.1109/gcc.2008.42.

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Volkanovski, Andrija, Antonio Ballesteros Avila, and Miguel Peinador Veira. "Results of the Loss of Offsite Power Events Analysis." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60153.

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This paper presents the results of statistical and engineering analysis of Loss of Offsite Power (LOOP) events registered in four reviewed databases. The paper includes events registered in IRSN (Institut de Radioprotection et de Sûreté Nucléaire) SAPIDE and GRS (Gesellschaft für Anlagen- und Reaktorsicherheit mbH) VERA database in time period 1992 to 2011. The Nuclear Regulatory Commission (NRC) Licensee Event Reports (LERs) database and the IAEA International Reporting System (IRS) database are screened for the relevant events registered in period 1990 to 2013. In total, 228 relevant events were identified in the IRSN database, 190 in GRS, 120 in LER and 52 in IRS. The data include events registered both during the critical (at power) and shutdown operation of the plants. The identified events were classified considering nine different categories. In the three databases (SAPIDE, VERA, IAEA-IRS) the largest numbers of events are registered for the plant centered category. The largest number of the events in the NRC-LER database is found for switchyard centered events. According to the mode of operation, most events were reported during critical power operation, in all four databases. The “Partial loss of external power” events are the most frequent type of event found in the IRSN and NRC databases while the “Physical loss of electrical busbars” is the main type in the GRS and IAEA databases. The largest number of events in all databases is identified for the switchyard failures followed by the interconnections failures (both lines and transformers). Mainly LOOP event are identified by the fault report in the control room. Electrical deficiency is detected as the main direct cause of events. Environment is registered as the main contributor for the electrical grid deficiency in the French and NRC databases. Electrical failures are dominant contributor to the electrical grid deficiency in the German and IAEA databases. The principal root cause for the LOOP events are human failures with the human errors during test, inspection and maintenance as the largest sub-group. The largest number of the LOOP events resulted in reactor trip followed by the Emergency Diesel Generator (EDG) start. The majority of the reported LOOP events lasted for more than 2 minutes. Main lessons learned from the analysed events and potential actions for decrease of the number of LOOP events are presented.

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Mokhtar, Jawad D., and James H. Oliver. "Parametric Volume Models for Interactive Three-Dimensional Grid Generation." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0086.

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Abstract A method based on non-uniform rational B-spline (NURBS) curve, surface, and solid technology is presented for interactive grid generation of three-dimensional flow fields encountered in turbomachinery applications. The method allows construction of several types of multi-block grids including H-, O-, and C-grids for two-dimensional grids, and strict H-grids for three-dimensional grid generation. Automated two-dimensional block construction is facilitated via a traversal method that searches four-sided regions in the initial block structure. A NURBS surface is then constructed on each block by transfinite interpolation of the boundary curves themselves, and various point distribution options may be applied. Three-dimensional grid generation is an extension of the two-dimensional procedure. Tri-parametric hyperpatches (NURBS solids) are constructed from the two-dimensional block surfaces and grids may be generated via several point distribution functions. This method exploits existing geometric design data via Initial Graphics Exchange Specification (IGES) input of NURBS-based component geometry. It provides an efficient and robust method for complex grid generation to support a variety of analysis functions. Several example applications are presented to demonstrate the capabilities of the technique.

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Volkanovski, Andrija, Antonio Ballesteros Avila, and Miguel Peinador Veira. "Trend Analysis of Loss of Offsite Power Events." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60154.

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This paper presents the results of the trend analysis of Loss of Offsite Power (LOOP) events registered in two reviewed databases. The reviewed databases include the Nuclear Regulatory Commission (NRC) Licensee Event Reports (LERs) database and the IAEA International Reporting System (IRS). Both databases were screened for the relevant events registered in period 1990 to 2012. The statistical analysis of the identified relevant LOOP events is done. The analysis includes assessment of the LOOP initiating event frequency, distribution of the events per year in the analysed period and trend analysis of the identified events. The LOOP frequency is calculated for LOOP events registered in NRC LERs subdivided into four types by cause or location: plant centered, switchyard centered, grid related, and weather related. These four LOOP categories are assessed for two modes of operation (critical and shutdown operation). The number of LOOP events in each year over the analysed period and distribution of events per unit in given year were assessed from the reviewed databases. Trend analysis of the identified events is performed with the utilization of four trend measures. Analysis is done for events registered during power and shutdown operation and their sum. The obtained LOOP frequency for events registered NRC LERs for critical and shutdown mode is comparable to the one assessed in NUREG/CR-6890. Decreasing trend is obtained for the LOOP events registered for events in NRC LER database. Different trends are identified during critical and shutdown modes of operation for the events registered in the IAEA database. The sum of the LOOP events reported during critical and shutdown modes in IAEA IRS show no trend.

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Reports on the topic "Databases and Grids"

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Matthew Vranicar and John Weicher. High-Performance Secure Database Access Technologies for HEP Grids. Office of Scientific and Technical Information (OSTI), April 2006. http://dx.doi.org/10.2172/937423.

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J. Angell. Hydroacoustic propagation grids for the CTBT knowledge databaes BBN technical memorandum W1303. Office of Scientific and Technical Information (OSTI), May 1998. http://dx.doi.org/10.2172/1833.

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Moffat, H. K. dgtoexo2: A Distorted Grid Output File to Exodus II Finite Element Database Conversion Utility. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/3191.

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Collins, Clarence O., and Tyler J. Hesser. altWIZ : A System for Satellite Radar Altimeter Evaluation of Modeled Wave Heights. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39699.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the design and implementation of a wave model evaluation system, altWIZ, which uses wave height observations from operational satellite radar altimeters. The altWIZ system utilizes two recently released altimeter databases: Ribal and Young (2019) and European Space Agency Sea State Climate Change Initiative v.1.1 level 2 (Dodet et al. 2020). The system facilitates model evaluation against 1 Hz1 altimeter data or a product created by averaging altimeter data in space and time around model grid points. The system allows, for the first time, quantitative analysis of spatial model errors within the U.S. Army Corps of Engineers (USACE) Wave Information Study (WIS) 30+ year hindcast for coastal United States. The system is demonstrated on the WIS 2017 Atlantic hindcast, using a 1/2° basin scale grid and a 1/4° regional grid of the East Coast. Consistent spatial patterns of increased bias and root-mean-square-error are exposed. Seasonal strengthening and weakening of these spatial patterns are found, related to the seasonal variation of wave energy. Some model errors correspond to areas known for high currents, and thus wave-current interaction. In conjunction with the model comparison, additional functions for pairing altimeter measurements with buoy data and storm tracks have been built. Appendices give information on the code access (Appendix I), organization and files (Appendix II), example usage (Appendix III), and demonstrating options (Appendix IV).

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Ruiz, Pablo, Craig Perry, Alejando Garcia, Magali Guichardot, Michael Foguer, Joseph Ingram, Michelle Prats, Carlos Pulido, Robert Shamblin, and Kevin Whelan. The Everglades National Park and Big Cypress National Preserve vegetation mapping project: Interim report—Northwest Coastal Everglades (Region 4), Everglades National Park (revised with costs). National Park Service, November 2020. http://dx.doi.org/10.36967/nrr-2279586.

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The Everglades National Park and Big Cypress National Preserve vegetation mapping project is part of the Comprehensive Everglades Restoration Plan (CERP). It is a cooperative effort between the South Florida Water Management District (SFWMD), the United States Army Corps of Engineers (USACE), and the National Park Service’s (NPS) Vegetation Mapping Inventory Program (VMI). The goal of this project is to produce a spatially and thematically accurate vegetation map of Everglades National Park and Big Cypress National Preserve prior to the completion of restoration efforts associated with CERP. This spatial product will serve as a record of baseline vegetation conditions for the purpose of: (1) documenting changes to the spatial extent, pattern, and proportion of plant communities within these two federally-managed units as they respond to hydrologic modifications resulting from the implementation of the CERP; and (2) providing vegetation and land-cover information to NPS park managers and scientists for use in park management, resource management, research, and monitoring. This mapping project covers an area of approximately 7,400 square kilometers (1.84 million acres [ac]) and consists of seven mapping regions: four regions in Everglades National Park, Regions 1–4, and three in Big Cypress National Preserve, Regions 5–7. The report focuses on the mapping effort associated with the Northwest Coastal Everglades (NWCE), Region 4 , in Everglades National Park. The NWCE encompasses a total area of 1,278 square kilometers (493.7 square miles [sq mi], or 315,955 ac) and is geographically located to the south of Big Cypress National Preserve, west of Shark River Slough (Region 1), and north of the Southwest Coastal Everglades (Region 3). Photo-interpretation was performed by superimposing a 50 × 50-meter (164 × 164-feet [ft] or 0.25 hectare [0.61 ac]) grid cell vector matrix over stereoscopic, 30 centimeters (11.8 inches) spatial resolution, color-infrared aerial imagery on a digital photogrammetric workstation. Photo-interpreters identified the dominant community in each cell by applying majority-rule algorithms, recognizing community-specific spectral signatures, and referencing an extensive ground-truth database. The dominant vegetation community within each grid cell was classified using a hierarchical classification system developed specifically for this project. Additionally, photo-interpreters categorized the absolute cover of cattail (Typha sp.) and any invasive species detected as either: Sparse (10–49%), Dominant (50–89%), or Monotypic (90–100%). A total of 178 thematic classes were used to map the NWCE. The most common vegetation classes are Mixed Mangrove Forest-Mixed and Transitional Bayhead Shrubland. These two communities accounted for about 10%, each, of the mapping area. Other notable classes include Short Sawgrass Marsh-Dense (8.1% of the map area), Mixed Graminoid Freshwater Marsh (4.7% of the map area), and Black Mangrove Forest (4.5% of the map area). The NWCE vegetation map has a thematic class accuracy of 88.4% with a lower 90th Percentile Confidence Interval of 84.5%.

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