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Articles de revues sur le sujet « Data Storage Representations »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 10 février 2022

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Gutsche, Oliver, and Igor Mandrichenko. "Striped Data Analysis Framework." EPJ Web of Conferences 245 (2020): 06042. http://dx.doi.org/10.1051/epjconf/202024506042.

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A columnar data representation is known to be an efficient way for data storage, specifically in cases when the analysis is often done based only on a small fragment of the available data structures. A data representation like Apache Parquet is a step forward from a columnar representation, which splits data horizontally to allow for easy parallelization of data analysis. Based on the general idea of columnar data storage, working on the [LDRD Project], we have developed a striped data representation, which, we believe, is better suited to the needs of High Energy Physics data analysis. A trad

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Lee, Sang Hun, and Kunwoo Lee. "Partial Entity Structure: A Compact Boundary Representation for Non-Manifold Geometric Modeling." Journal of Computing and Information Science in Engineering 1, no. 4 (November 1, 2001): 356–65. http://dx.doi.org/10.1115/1.1433486.

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Non-manifold boundary representations have become very popular in recent years and various representation schemes have been proposed, as they represent a wider range of objects, for various applications, than conventional manifold representations. As these schemes mainly focus on describing sufficient adjacency relationships of topological entities, the models represented in these schemes occupy storage space redundantly, although they are very efficient in answering queries on topological adjacency relationships. To solve this problem, in this paper, we propose a compact as well as fast non-m

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Gertsiy, O. "COMPARATIVE ANALYSIS OF COMPACT METHODS REPRESENTATIONS OF GRAPHIC INFORMATION." Collection of scientific works of the State University of Infrastructure and Technologies series "Transport Systems and Technologies" 1, no. 37 (June 29, 2021): 130–43. http://dx.doi.org/10.32703/2617-9040-2021-37-13.

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The main characteristics of graphic information compression methods with losses and without losses (RLE, LZW, Huffman's method, DEFLATE, JBIG, JPEG, JPEG 2000, Lossless JPEG, fractal and Wawelet) are analyzed in the article. Effective transmission and storage of images in railway communication systems is an important task now. Because large images require large storage resources. This task has become very important in recent years, as the problems of information transmission by telecommunication channels of the transport infrastructure have become urgent. There is also a great need for video c

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Jackson, T. R., W. Cho, N. M. Patrikalakis, and E. M. Sachs. "Memory Analysis of Solid Model Representations for Heterogeneous Objects." Journal of Computing and Information Science in Engineering 2, no. 1 (March 1, 2002): 1–10. http://dx.doi.org/10.1115/1.1476380.

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Methods to represent and exchange parts consisting of Functionally Graded Material (FGM) for Solid Freeform Fabrication (SFF) with Local Composition Control (LCC) are evaluated based on their memory requirements. Data structures for representing FGM objects as heterogeneous models are described and analyzed, including a voxel-based structure, finite-element mesh-based approach, and the extension of the Radial-Edge and Cell-Tuple-Graph data structures with Material Domains representing spatially varying composition properties. The storage cost for each data structure is derived in terms of the

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Frenkel, Michael, Robert D. Chiroco, Vladimir Diky, Qian Dong, Kenneth N. Marsh, John H. Dymond, William A. Wakeham, Stephen E. Stein, Erich Königsberger, and Anthony R. H. Goodwin. "XML-based IUPAC standard for experimental, predicted, and critically evaluated thermodynamic property data storage and capture (ThermoML) (IUPAC Recommendations 2006)." Pure and Applied Chemistry 78, no. 3 (January 1, 2006): 541–612. http://dx.doi.org/10.1351/pac200678030541.

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ThermoML is an Extensible Markup Language (XML)-based new IUPAC standard for storage and exchange of experimental, predicted, and critically evaluated thermophysical and thermochemical property data. The basic principles, scope, and description of all structural elements of ThermoML are discussed. ThermoML covers essentially all thermodynamic and transport property data (more than 120 properties) for pure compounds, multicomponent mixtures, and chemical reactions (including change-of-state and equilibrium reactions). Representations of all quantities related to the expression of uncertainty in

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ALHONIEMI, ESA. "Simplified time series representations for efficient analysis of industrial process data." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 17, no. 2 (May 2003): 103–14. http://dx.doi.org/10.1017/s0890060403172010.

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The data storage capacities of modern process automation systems have grown rapidly. Nowadays, the systems are able to frequently carry out even hundreds of measurements in parallel and store them in databases. However, these data are still rarely used in the analysis of processes. In this article, preparation of the raw data for further analysis is considered using feature extraction from signals by piecewise linear modeling. Prior to modeling, a preprocessing phase that removes some artifacts from the data is suggested. Because optimal models are computationally infeasible, fast heuristic al

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Hernaez, Mikel, Dmitri Pavlichin, Tsachy Weissman, and Idoia Ochoa. "Genomic Data Compression." Annual Review of Biomedical Data Science 2, no. 1 (July 20, 2019): 19–37. http://dx.doi.org/10.1146/annurev-biodatasci-072018-021229.

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Recently, there has been growing interest in genome sequencing, driven by advances in sequencing technology, in terms of both efficiency and affordability. These developments have allowed many to envision whole-genome sequencing as an invaluable tool for both personalized medical care and public health. As a result, increasingly large and ubiquitous genomic data sets are being generated. This poses a significant challenge for the storage and transmission of these data. Already, it is more expensive to store genomic data for a decade than it is to obtain the data in the first place. This situat

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Rachkovskij, Dmitri A., and Ernst M. Kussul. "Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning." Neural Computation 13, no. 2 (February 2001): 411–52. http://dx.doi.org/10.1162/089976601300014592.

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Distributed representations were often criticized as inappropriate for encoding of data with a complex structure. However Plate's holographic reduced representations and Kanerva's binary spatter codes are recent schemes that allow on-the-fly encoding of nested compositional structures by real-valued or dense binary vectors of fixed dimensionality. In this article we consider procedures of the context-dependent thinning developed for representation of complex hierarchical items in the architecture of associative-projective neural networks. These procedures provide binding of items represented b

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De Masi, A. "DIGITAL DOCUMENTATION’S ONTOLOGY: CONTEMPORARY DIGITAL REPRESENTATIONS AS EXPRESS AND SHARED MODELS OF REGENERATION AND RESILIENCE IN THE PLATFORM BIM/CONTAMINATED HYBRID REPRESENTATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-1-2021 (August 28, 2021): 189–97. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-1-2021-189-2021.

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Abstract. The study illustrates a university research project of “Digital Documentation’s Ontology”, to be activated with other universities, of an Platform (P) – Building Information Modeling (BIM) articulated on a Contaminated Hybrid Representation (diversification of graphic models); the latter, able to foresee categories of Multi-Representations that interact with each other for to favour several representations, adapted to a different information density in the digital multi-scale production, is intended as platform (grid of data and information at different scales, semantic structure fro

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Tan, Xiaojing, Ming Zou, and Xiqin He. "Target Recognition in SAR Images Based on Multiresolution Representations with 2D Canonical Correlation Analysis." Scientific Programming 2020 (February 24, 2020): 1–9. http://dx.doi.org/10.1155/2020/7380790.

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This study proposes a synthetic aperture radar (SAR) target-recognition method based on the fused features from the multiresolution representations by 2D canonical correlation analysis (2DCCA). The multiresolution representations were demonstrated to be more discriminative than the solely original image. So, the joint classification of the multiresolution representations is beneficial to the enhancement of SAR target recognition performance. 2DCCA is capable of exploiting the inner correlations of the multiresolution representations while significantly reducing the redundancy. Therefore, the f

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Martin, Nadine. "Cognitive neuropsychological evidence for common processes underlying generation and storage of language representations." Behavioral and Brain Sciences 26, no. 6 (December 2003): 747–48. http://dx.doi.org/10.1017/s0140525x03420165.

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Ruchkin et al. offer a compelling case for a model of short-term storage without a separate buffer. Here, I discuss some cognitive neuropsychological data that have been offered in support of and against their model. Additionally, I discuss briefly some new directions in cognitive neuropsychological research that bear on the role of attention in Ruchkin et al.'s model.

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Sibenik, Goran, and Iva Kovacic. "Interpreted open data exchange between architectural design and structural analysis models." Journal of Information Technology in Construction 26 (February 26, 2021): 39–57. http://dx.doi.org/10.36680/j.itcon.2021.004.

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The heterogeneity of the architecture, engineering and construction (AEC) industry reflects on digital building models, which differ across domains and planning phases. Data exchange between architectural design and structural analysis models poses a particular challenge because of dramatically different representations of building elements. Existing software tools and standards have not been able to deal with these differences. The research on inter-domain building information modelling (BIM) frameworks does not consider the geometry interpretations for data exchange. Analysis of geometry int

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SOSA, ANNA VOGEL, and CAROL STOEL-GAMMON. "Patterns of intra-word phonological variability during the second year of life." Journal of Child Language 33, no. 1 (February 2006): 31–50. http://dx.doi.org/10.1017/s0305000905007166.

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Phonological representation for adult speakers is generally assumed to include sub-lexical information at the level of the phoneme. Some have suggested, however, that young children operate with more holistic lexical representations. If young children use whole-word representation and adults employ phonemic representation, then a component of phonological development includes a transition from holistic to segmental storage of phonological information. The present study addresses the nature of this transition by investigating the prevalence and patterns of intra-word production variability duri

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Lee, Hye Won, Yu Rang Park, Jaehyun Sim, Rae Woong Park, Woo Ho Kim, and Ju Han Kim. "The Tissue Microarray Object Model: A Data Model for Storage, Analysis, and Exchange of Tissue Microarray Experimental Data." Archives of Pathology & Laboratory Medicine 130, no. 7 (July 1, 2006): 1004–13. http://dx.doi.org/10.5858/2006-130-1004-ttmoma.

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Abstract Context.—Tissue microarray (TMA) is an array-based technology allowing the examination of hundreds of tissue samples on a single slide. To handle, exchange, and disseminate TMA data, we need standard representations of the methods used, of the data generated, and of the clinical and histopathologic information related to TMA data analysis. Objective.—To create a comprehensive data model with flexibility that supports diverse experimental designs and with expressivity and extensibility that enables an adequate and comprehensive description of new clinical and histopathologic data eleme

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Qin, Yana, Danye Wu, Zhiwei Xu, Jie Tian, and Yujun Zhang. "Adaptive In-Network Collaborative Caching for Enhanced Ensemble Deep Learning at Edge." Mathematical Problems in Engineering 2021 (September 25, 2021): 1–14. http://dx.doi.org/10.1155/2021/9285802.

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To enhance the quality and speed of data processing and protect the privacy and security of the data, edge computing has been extensively applied to support data-intensive intelligent processing services at edge. Among these data-intensive services, ensemble learning-based services can, in natural, leverage the distributed computation and storage resources at edge devices to achieve efficient data collection, processing, and analysis. Collaborative caching has been applied in edge computing to support services close to the data source, in order to take the limited resources at edge devices to

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Kumar, K., H. Ledoux, and J. Stoter. "COMPARATIVE ANALYSIS OF DATA STRUCTURES FOR STORING MASSIVE TINS IN A DBMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 123–30. http://dx.doi.org/10.5194/isprsarchives-xli-b2-123-2016.

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Point cloud data are an important source for 3D geoinformation. Modern day 3D data acquisition and processing techniques such as airborne laser scanning and multi-beam echosounding generate billions of 3D points for simply an area of few square kilometers. With the size of the point clouds exceeding the billion mark for even a small area, there is a need for their efficient storage and management. These point clouds are sometimes associated with attributes and constraints as well. Storing billions of 3D points is currently possible which is confirmed by the initial implementations in Oracle Sp

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Kumar, K., H. Ledoux, and J. Stoter. "COMPARATIVE ANALYSIS OF DATA STRUCTURES FOR STORING MASSIVE TINS IN A DBMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 123–30. http://dx.doi.org/10.5194/isprs-archives-xli-b2-123-2016.

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Point cloud data are an important source for 3D geoinformation. Modern day 3D data acquisition and processing techniques such as airborne laser scanning and multi-beam echosounding generate billions of 3D points for simply an area of few square kilometers. With the size of the point clouds exceeding the billion mark for even a small area, there is a need for their efficient storage and management. These point clouds are sometimes associated with attributes and constraints as well. Storing billions of 3D points is currently possible which is confirmed by the initial implementations in Oracle Sp

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Hulsman, Petra, Hubert H. G. Savenije, and Markus Hrachowitz. "Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement." Hydrology and Earth System Sciences 25, no. 2 (February 24, 2021): 957–82. http://dx.doi.org/10.5194/hess-25-957-2021.

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Abstract. Satellite observations can provide valuable information for a better understanding of hydrological processes and thus serve as valuable tools for model structure development and improvement. While model calibration and evaluation have in recent years started to make increasing use of spatial, mostly remotely sensed information, model structural development largely remains to rely on discharge observations at basin outlets only. Due to the ill-posed inverse nature and the related equifinality issues in the modelling process, this frequently results in poor representations of the spati

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Sundby, Tiril, Julia Maria Graham, Adil Rasheed, Mandar Tabib, and Omer San. "Geometric Change Detection in Digital Twins." Digital 1, no. 2 (April 15, 2021): 111–29. http://dx.doi.org/10.3390/digital1020009.

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Digital twins are meant to bridge the gap between real-world physical systems and virtual representations. Both stand-alone and descriptive digital twins incorporate 3D geometric models, which are the physical representations of objects in the digital replica. Digital twin applications are required to rapidly update internal parameters with the evolution of their physical counterpart. Due to an essential need for having high-quality geometric models for accurate physical representations, the storage and bandwidth requirements for storing 3D model information can quickly exceed the available st

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Liu, Xuanwu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, and Maozu Guo. "Ranking-Based Deep Cross-Modal Hashing." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4400–4407. http://dx.doi.org/10.1609/aaai.v33i01.33014400.

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Cross-modal hashing has been receiving increasing interests for its low storage cost and fast query speed in multi-modal data retrievals. However, most existing hashing methods are based on hand-crafted or raw level features of objects, which may not be optimally compatible with the coding process. Besides, these hashing methods are mainly designed to handle simple pairwise similarity. The complex multilevel ranking semantic structure of instances associated with multiple labels has not been well explored yet. In this paper, we propose a ranking-based deep cross-modal hashing approach (RDCMH).

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Tucker-Drob, Elliot M., and Timothy A. Salthouse. "METHODS AND MEASURES: Confirmatory Factor Analysis and Multidimensional Scaling for Construct Validation of Cognitive Abilities." International Journal of Behavioral Development 33, no. 3 (February 25, 2009): 277–85. http://dx.doi.org/10.1177/0165025409104489.

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Although factor analysis is the most commonly-used method for examining the structure of cognitive variable interrelations, multidimensional scaling (MDS) can provide visual representations highlighting the continuous nature of interrelations among variables. Using data ( N = 8,813; ages 17—97 years) aggregated across 38 separate studies, MDS was applied to 16 cognitive variables representative of five well-established cognitive abilities. Parallel to confirmatory factor analytic solutions, and consistent with past MDS applications, the results for young (18—39 years), middle (40—65 years), an

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Andrade Ribeiro, Leonardo, and Theo Härder. "Pushing similarity joins down to the storage layer in XML databases." International Journal of Web Information Systems 13, no. 1 (April 18, 2017): 55–71. http://dx.doi.org/10.1108/ijwis-04-2016-0019.

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Purpose This article aims to explore how to incorporate similarity joins into XML database management systems (XDBMSs). The authors aim to provide seamless and efficient integration of similarity joins on tree-structured data into an XDBMS architecture. Design/methodology/approach The authors exploit XDBMS-specific features to efficiently generate XML tree representations for similarity matching. In particular, the authors push down a large part of the structural similarity evaluation close to the storage layer. Findings Empirical experiments were conducted to measure and compare accuracy, per

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Luciani, Peter D., James Y. Li, and Douglas Banting. "Distributed urban storm water modeling within GIS integrating analytical probabilistic hydrologic models and remote sensing image analyses." Water Quality Research Journal 46, no. 3 (August 1, 2011): 183–99. http://dx.doi.org/10.2166/wqrjc.2011.113.

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Analytical probabilistic hydrologic models (APMs) are computationally efficient producing validated storm water outputs comparable to continuous simulation for storm water planning level analyses. To date, APMs have been run as spatially lumped or semi-distributed models relying upon calibrated and spatially averaged system state variable inputs/parameters limiting model system representation and ultimately impacting model uncertainty. Here, APMs are integrated within Geographic Information Systems (GIS) and remote sensing image analyses (RSIA) deriving a planning-level distributed model under

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Sergi, Domenic Mario, and Jie Li. "Applications of GIS-Enhanced Networks of Engineering Information." Applied Mechanics and Materials 444-445 (October 2013): 1672–79. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1672.

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The current manner in which engineering data, especially the structural details of buildings and infrastructure, is managed is highly inefficient and leads to a wide variety of unnecessary costs and risks. The revolution in Building Information Modelling (BIM) has given designers the ability to perform useful technical analysis on lifelike models and representations of a future structure. Consequently, the quantity of information being produced for a typical project, and the cost of producing that information, has increased substantially. This is driving a shift towards better systems of data

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Hong, D., J. Yao, X. Wu, J. Chanussot, and X. Zhu. "SPATIAL-SPECTRAL MANIFOLD EMBEDDING OF HYPERSPECTRAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 423–28. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-423-2020.

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Abstract. In recent years, hyperspectral imaging, also known as imaging spectroscopy, has been paid an increasing interest in geoscience and remote sensing community. Hyperspectral imagery is characterized by very rich spectral information, which enables us to recognize the materials of interest lying on the surface of the Earth more easier. We have to admit, however, that high spectral dimension inevitably brings some drawbacks, such as expensive data storage and transmission, information redundancy, etc. Therefore, to reduce the spectral dimensionality effectively and learn more discriminati

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Gray, Shelley, Hope Lancaster, Mary Alt, Tiffany P. Hogan, Samuel Green, Roy Levy, and Nelson Cowan. "The Structure of Word Learning in Young School-Age Children." Journal of Speech, Language, and Hearing Research 63, no. 5 (May 22, 2020): 1446–66. http://dx.doi.org/10.1044/2020_jslhr-19-00186.

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Purpose We investigated four theoretically based latent variable models of word learning in young school-age children. Method One hundred sixty-seven English-speaking second graders with typical development from three U.S. states participated. They completed five different tasks designed to assess children's creation, storage, retrieval, and production of the phonological and semantic representations of novel words and their ability to link those representations. The tasks encompassed the triggering and configuration stages of word learning. Results Results showed that a latent variable model

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ALEARDI, LUCA CASTELLI, OLIVIER DEVILLERS, and ABDELKRIM MEBARKI. "CATALOG-BASED REPRESENTATION OF 2D TRIANGULATIONS." International Journal of Computational Geometry & Applications 21, no. 04 (August 2011): 393–402. http://dx.doi.org/10.1142/s021819591100372x.

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Several Representations and Coding schemes have been proposed to represent efficiently 2D triangulations. In this paper, we propose a new practical approach to reduce the main memory space needed to represent an arbitrary triangulation, while maintaining constant time for some basic queries. This work focuses on the connectivity information of the triangulation, rather than the geometric information (vertex coordinates), since the combinatorial data represents the main part of the storage. The main idea is to gather triangles into patches, to reduce the number of pointers by eliminating the in

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Nazemi, A., and H. S. Wheater. "On inclusion of water resource management in Earth System models – Part 2: Representation of water supply and allocation and opportunities for improved modeling." Hydrology and Earth System Sciences Discussions 11, no. 7 (July 21, 2014): 8299–354. http://dx.doi.org/10.5194/hessd-11-8299-2014.

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Abstract. Human water use has significantly increased during the recent past. Water allocation from surface and groundwater sources has altered terrestrial discharge and storage, with large variability in time and space. Water supply and allocation, therefore, should be considered with water demand and appropriately included in large-scale models to address various online and offline implications, with or without considering possible climate interactions. Here, we review the algorithms developed to represent the elements of water supply and allocation in large-scale models, in particular Land

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Krawczyk, Artur. "A concept for the modernization of underground mining master maps based on the enrichment of data definitions and spatial database technology." E3S Web of Conferences 26 (2018): 00010. http://dx.doi.org/10.1051/e3sconf/20182600010.

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In this article, topics regarding the technical and legal aspects of creating digital underground mining maps are described. Currently used technologies and solutions for creating, storing and making digital maps accessible are described in the context of the Polish mining industry. Also, some problems with the use of these technologies are identified and described. One of the identified problems is the need to expand the range of mining map data provided by survey departments to other mining departments, such as ventilation maintenance or geological maintenance. Three solutions are proposed a

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Nolé, Maurizio, and Carlo Sartiani. "Graph Management Systems: A Qualitative Survey." APTIKOM Journal on Computer Science and Information Technologies 5, no. 1 (March 30, 2020): 37–49. http://dx.doi.org/10.34306/csit.v5i1.132.

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In the recent years many real-world applications have been modeled by graph structures (e.g., social networks, mobile phone networks, web graphs, etc.), and many systems have been developed to manage, query, and analyze these datasets. These systems could be divided into specialized graph database systems and large-scale graph analytics systems. The first ones consider end-to-end data management issues including storage representations, transactions, and query languages, whereas the second ones focus on processing specific tasks over large data graphs. In this paper we provide an overview of s

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Nolé, Maurizio, and Carlo Sartiani. "Graph Management Systems: A Qualitative Survey." APTIKOM Journal on Computer Science and Information Technologies 3, no. 2 (July 1, 2018): 66–76. http://dx.doi.org/10.11591/aptikom.j.csit.129.

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In the recent years many real-world applications have been modeled by graph structures (e.g., social networks, mobile phone networks, web graphs, etc.), and many systems have been developed to manage, query, and analyze these datasets. These systems could be divided into specialized graph database systems and large-scale graph analytics systems. The first ones consider end-to-end data management issues including storage representations, transactions, and query languages, whereas the second ones focus on processing specific tasks over large data graphs. In this paper we provide an overview of s

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Mahowald, Kyle, George Kachergis, and Michael C. Frank. "What counts as an exemplar model, anyway? A commentary on Ambridge (2020)." First Language 40, no. 5-6 (February 27, 2020): 608–11. http://dx.doi.org/10.1177/0142723720905920.

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Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec – which have been extremely successful in modern natural language processing (NLP) applications – count? Although these models often have ample parametric complexity to store exemplars from their training data, they also go far beyond simple storage by processing and compressing the input via their architectural constraints. The resulting representations have been shown to encode emergent abstractions. If these models are exemplar-based then Ambridge’s theory only weak

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Futter, M. N., M. A. Erlandsson, D. Butterfield, P. G. Whitehead, S. K. Oni, and A. J. Wade. "PERSiST: the precipitation, evapotranspiration and runoff simulator for solute transport." Hydrology and Earth System Sciences Discussions 10, no. 7 (July 3, 2013): 8635–81. http://dx.doi.org/10.5194/hessd-10-8635-2013.

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Abstract. While runoff is often a first-order control on water quality, runoff generation processes and pathways can vary widely between catchments. Credible simulations of solute and pollutant transport in surface waters are dependent on models which facilitate appropriate representations of perceptual models of the runoff generation process. With a few exceptions, models used in solute transport simulations enforce a single, potentially inappropriate representation of the runoff generation process. Here, we present a flexible, semi-distributed landscape scale rainfall-runoff model suitable f

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Schonfelder, J. L. "Variable Precision Arithmetic: A Fortran 95 Module." Scientific Programming 11, no. 1 (2003): 67–76. http://dx.doi.org/10.1155/2003/124580.

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This paper describes the design and development of a software package supporting variable precision arithmetic as a semantic extension to the Fortran 95 language. The working precision of the arithmetic supported by this package can be dynamically and arbitrarily varied. The facility exploits the data-abstraction capabilities of Fortran 95 and allows the operations to be used elementally with array operands as well as with scalars. The number system is defined in such a way as to be closed under all of the basic operations of normal arithmetic; no program-terminating numerical exceptions can o

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Rafique, Rashid, Jianyang Xia, Oleksandra Hararuk, Ghassem R. Asrar, Guoyong Leng, Yingping Wang, and Yiqi Luo. "Divergent predictions of carbon storage between two global land models: attribution of the causes through traceability analysis." Earth System Dynamics 7, no. 3 (July 29, 2016): 649–58. http://dx.doi.org/10.5194/esd-7-649-2016.

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Abstract. Representations of the terrestrial carbon cycle in land models are becoming increasingly complex. It is crucial to develop approaches for critical assessment of the complex model properties in order to understand key factors contributing to models' performance. In this study, we applied a traceability analysis which decomposes carbon cycle models into traceable components, for two global land models (CABLE and CLM-CASA′) to diagnose the causes of their differences in simulating ecosystem carbon storage capacity. Driven with similar forcing data, CLM-CASA′ predicted ∼ 31 % larger carb

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Schlicht, Erik J., and Paul R. Schrater. "Impact of Coordinate Transformation Uncertainty on Human Sensorimotor Control." Journal of Neurophysiology 97, no. 6 (June 2007): 4203–14. http://dx.doi.org/10.1152/jn.00160.2007.

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Humans build representations of objects and their locations by integrating imperfect information from multiple perceptual modalities (e.g., visual, haptic). Because sensory information is specified in different frames of reference (i.e., eye- and body-centered), it must be remapped into a common coordinate frame before integration and storage in memory. Such transformations require an understanding of body articulation, which is estimated through noisy sensory data. Consequently, target information acquires additional coordinate transformation uncertainty (CTU) during remapping because of erro

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Ai, Qingyao. "Neural generative models and representation learning for information retrieval." ACM SIGIR Forum 53, no. 2 (December 2019): 97. http://dx.doi.org/10.1145/3458553.3458565.

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Information Retrieval (IR) concerns about the structure, analysis, organization, storage, and retrieval of information. Among different retrieval models proposed in the past decades, generative retrieval models, especially those under the statistical probabilistic framework, are one of the most popular techniques that have been widely applied to Information Retrieval problems. While they are famous for their well-grounded theory and good empirical performance in text retrieval, their applications in IR are often limited by their complexity and low extendability in the modeling of high-dimensio

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Buddhika, Thilina, Matthew Malensek, Shrideep Pallickara, and Sangmi Lee Pallickara. "Living on the Edge." ACM Transactions on Internet of Things 2, no. 3 (July 2021): 1–31. http://dx.doi.org/10.1145/3450767.

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Voluminous time-series data streams produced in continuous sensing environments impose challenges pertaining to ingestion, storage, and analytics. In this study, we present a holistic approach based on data sketching to address these issues. We propose a hyper-sketching algorithm that combines discretization and frequency-based sketching to produce compact representations of the multi-feature, time-series data streams. We generate an ensemble of data sketches to make effective use of capabilities at the resource-constrained edge devices, the links over which data are transmitted, and the serve

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Chakravarthi, K. Kalyana, and Vaidhehi Vijayakumar. "Workflow Scheduling Techniques and Algorithms in IaaS Cloud: A Survey." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 2 (April 1, 2018): 853. http://dx.doi.org/10.11591/ijece.v8i2.pp853-866.

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In the modern era, workflows are adopted as a powerful and attractive paradigm for expressing/solving a variety of applications like scientific, data intensive computing, and big data applications such as MapReduce and Hadoop. These complex applications are described using high-level representations in workflow methods. With the emerging model of cloud computing technology, scheduling in the cloud becomes the important research topic. Consequently, workflow scheduling problem has been studied extensively over the past few years, from homogeneous clusters, grids to the most recent paradigm, clo

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Rafique, R., J. Xia, O. Hararuk, G. Asrar, Y. Wang, and Y. Luo. "Divergent predictions of carbon storage between two global land models: attribution of the causes through traceability analysis." Earth System Dynamics Discussions 6, no. 2 (August 27, 2015): 1579–604. http://dx.doi.org/10.5194/esdd-6-1579-2015.

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Abstract. Representations of the terrestrial carbon cycle in land models are becoming increasingly complex. It is crucial to develop approaches for critical assessment of the complex model properties in order to understand key factors contributing to models' performance. In this study, we applied a traceability analysis, which decomposes carbon cycle models into traceable components, to two global land models (CABLE and CLM-CASA') to diagnose the causes of their differences in simulating ecosystem carbon storage capacity. Driven with similar forcing data, the CLM-CASA' model predicted ~ 31 % l

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Gehrung, Joachim, Marcus Hebel, Michael Arens, and Uwe Stilla. "A FRAMEWORK FOR VOXEL-BASED GLOBAL SCALE MODELING OF URBAN ENVIRONMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W1 (October 26, 2016): 45–51. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w1-45-2016.

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The generation of 3D city models is a very active field of research. Modeling environments as point clouds may be fast, but has disadvantages. These are easily solvable by using volumetric representations, especially when considering selective data acquisition, change detection and fast changing environments. Therefore, this paper proposes a framework for the volumetric modeling and visualization of large scale urban environments. Beside an architecture and the right mix of algorithms for the task, two compression strategies for volumetric models as well as a data quality based approach for th

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Weymouth, John W. "Archaeological site surveying program at the University of Nebraska." GEOPHYSICS 51, no. 3 (March 1986): 538–52. http://dx.doi.org/10.1190/1.1442108.

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A summary of geophysical applications peculiar to archaeology and magnetic surveying techniques applied by the University of Nebraska to archaeological sites is presented. In contrast to geophysical targets, the size and depth of the features of interest on archaeological sites are from several centimeters to a few meters. Typical features are historic foundations, wells, privies or prehistoric earthen features such as earth house floors, storage pits, or fire hearths. The most commonly used geophysical methods are resistivity, radar, and magnetometry. The program at the University of Nebraska

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Vajda, Szilárd, Thomas Plötz, and Gernot A. Fink. "Camera-Based Whiteboard Reading for Understanding Mind Maps." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 03 (April 27, 2015): 1553003. http://dx.doi.org/10.1142/s0218001415530031.

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Mind maps, i.e. the spatial organization of ideas and concepts around a central topic and the visualization of their relations, represent a very powerful and thus popular means to support creative thinking and problem solving processes. Typically created on traditional whiteboards, they represent an important technique for collaborative brainstorming sessions. We describe a camera-based system to analyze hand-drawn mind maps written on a whiteboard. The goal of the presented system is to produce digital representations of such mind maps, which would enable digital asset management, i.e. storag

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Monteiro, Carlos, and José Leal. "Managing experiments on cognitive processes in writing with HandSpy." Computer Science and Information Systems 10, no. 4 (2013): 1747–73. http://dx.doi.org/10.2298/csis121130061m.

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Experiments on cognitive processes require a detailed analysis of the contribution of many participants. In the case of cognitive processes in writing, these experiments require special software tools to collect gestures performed with a pen or a stylus, and recorded with special hardware. These tools produce different kinds of data files in binary and proprietary formats that need to be managed on a workstation file system for further processing with generic tools, such as spreadsheets and statistical analysis software. The lack of common formats and open repositories hinders the possibility

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Grant, Carl, and Chad Mairn. "3D, virtual, augmented, extended, mixed reality, and extended content forms: The technology and the challenges." Information Services & Use 40, no. 3 (November 10, 2020): 225–30. http://dx.doi.org/10.3233/isu-200086.

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3D representations are a new form of information that when coupled with new technology tools, like VR, AR, MR, 3D scanning/printing, and more, offer new support and opportunities for research and pedagogy, often with dramatic leaps in capabilities and results. When combined with a pandemic, the results can be even more dramatic and valued in a variety of collaborative and higher education applications. However, as with any new technology and tools, there also can be sizable challenges that result and will need to be addressed. These include accessibility, 3D object creation, hardware capabilit

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CZYZOWICZ, JUREK, WOJCIECH FRACZAK, ANDRZEJ PELC, and WOJCIECH RYTTER. "LINEAR-TIME PRIME DECOMPOSITION OF REGULAR PREFIX CODES." International Journal of Foundations of Computer Science 14, no. 06 (December 2003): 1019–31. http://dx.doi.org/10.1142/s0129054103002151.

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One of the new approaches to data classification uses prefix codes and finite state automata as representations of prefix codes. A prefix code is a (possibly infinite) set of strings such that no string is a prefix of another one. An important task driven by the need for the efficient storage of such automata in memory is the decomposition (in the sense of formal languages concatenation) of prefix codes into prime factors. We investigate properties of such prefix code decompositions. A prime decomposition is a decomposition of a prefix code into a concatenation of nontrivial prime prefix codes

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Gelbard, Roy, and Israel Spiegler. "Representation and Storage of Motion Data." Journal of Database Management 13, no. 3 (July 2002): 46–63. http://dx.doi.org/10.4018/jdm.2002070104.

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Rizzuto, Daniel S., and Michael J. Kahana. "An Autoassociative Neural Network Model of Paired-Associate Learning." Neural Computation 13, no. 9 (September 1, 2001): 2075–92. http://dx.doi.org/10.1162/089976601750399317.

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Hebbian heteroassociative learning is inherently asymmetric. Storing a forward association, from item A to item B, enables recall of B (given A), but does not permit recall of A (given B). Recurrent networks can solve this problem by associating A to B and B back to A. In these recurrent networks, the forward and backward associations can be differentially weighted to account for asymmetries in recall performance. In the special case of equal strength forward and backward weights, these recurrent networks can be modeled as a single autoassociative network where A and B are two parts of a singl

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Yatsenko, E. A. "Overview of Object-Oriented Paradigm in an Appendix to the Development of Databases." Vestnik NSU. Series: Information Technologies 17, no. 3 (2019): 123–34. http://dx.doi.org/10.25205/1818-7900-2019-17-3-123-134.

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The article provides an overview of projects, technologies, software products developed to implement the ideas of an object-oriented approach to database design. In the 80s of the 20th century, there were many projects devoted to the idea of OODB, many experts expected that in the near future relational databases would be crowded out with objectoriented ones. Despite the impressive number of projects conducted by both teams of scientists and commercial companies focused on practical implementation, there was no clear formulation of an object-oriented data model, each team presented its own vis

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Whitfield, R. I., A. H. B. Duffy, and Z. Wu. "Ship Product Modeling." Journal of Ship Production 19, no. 04 (November 1, 2003): 230–45. http://dx.doi.org/10.5957/jsp.2003.19.4.230.

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This paper is a fundamental review of ship product modeling techniques with a focus on determining the state of the art, to identify any shortcomings and propose future directions. The review addresses ship product data representations, product modeling techniques and integration issues, and life phase issues. The most significant development has been the construction of the ship Standard for the Exchange of Product Data (STEP) application protocols. However, difficulty has been observed with respect to the general uptake of the standards, in particular with the application to legacy systems,

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