scholarly journals A Mark Based Indexing Method for Well organized Data Retrieval of Comparative Temporal Patterns

2012 ◽  
pp. 259-263
Author(s):  
Swamy Babu Nidamanuri ◽  
R. Lakshmi Tulasi
Keyword(s):  
Temporal Patterns ◽  
Data Retrieval ◽  
Large Database ◽  
Storage And Retrieval ◽  
Indexing Method ◽  
Selection Of

So many number of algorithms have been proposed for the discovery of data from the large database. However, since the number of generated patterns can be large, selecting which patterns to analyze can be nontrivial. There is thus a need for algorithms and tools that can assist in the selection of discovered patterns so that subsequent analysis can be performed in an efficient and, ideally, interactive manner. In this project, we propose a mark-based indexing method to optimize the storage and retrieval of a relative data’s from the large database.

Satellite Parametric Description to Ontology Concepts and Semantic Classification of Satellite Data

2019 ◽  
pp. 1198-1222
Author(s):  
Sunitha Abburu ◽  
Nitant Dube
Keyword(s):  
Satellite Data ◽  
Phase 1 ◽  
Research Work ◽  
Data Classification ◽  
Data Retrieval ◽  
Satellite Observation ◽  
Two Phase ◽  
Storage And Retrieval ◽  
Kalpana Satellite

Current satellite data retrieval systems retrieves data using latitude, longitude, date, time and sensor parameters like wind, cloud etc. To achieve concept based satellite data retrieval like Storm, Hurricane, Overcast and Frost etc., requires ontological concept descriptions using satellite observation parameters and concept based classification of satellite data. The current research work has designed and implemented a two phase methodology to achieve this. The phase 1 defines ontology concepts through satellite observation parameters and phase 2 describes ontology concept based satellite data classification. The efficiency of the methodology is been tested by taking the Kalpana satellite data from MOSDAC and weather ontology. This achieves concept based retrieval of satellite data, application interoperability and strengthen the ontologies. The current methodology is implemented and results in concept based satellite data classification, storage and retrieval.

De Organisatie Van Het Lexicon Bij Bilingualen

1981 ◽  
Vol 11 ◽  
pp. 190-196
Author(s):  
H. Kerkman
Keyword(s):  
Language Processing ◽  
Experimental Techniques ◽  
Semantic System ◽  
Staff Members ◽  
Storage And Retrieval ◽  
Word Repetition ◽  
Retrieval Systems ◽  
Common Memory ◽  
English Students ◽  
Selection Of

In the literature on the organisation of the bilingual lexicon, two closely related issues have played a major role. In the so-called independence-interdependence issue, the central question is: Do bilinguals have two separate storage and retrieval systems, one for each language, or is there just one common memory store? A second group of studies centers around the 'compound-coordinate' distinction: 'compound' bilinguals are supposed to have only one semantic system that serves for both languages, whereas on the other hand 'coordinate' bilinguals have a separate semantic system for each language. In order to resolve the above controversies researchers have employed different experimental techniques. Many of these studies have resulted in distinct and apparently contradictory conclusions. The main reason for these unclear results seems to be the defining of the level of language processing involved in these studies: the variety of experimental techniques used has caused an obvious incompatibility of the various results obtained. One other complication that has repeatedly been neglected within the exper-iments reported in the literature concerns the existence of individual differences in bilingual subjects. By studying the distinction between 'compound' and 'coordinate' bilingualism many investigators have demonstra-ted the relevence of its consequences for the selection of bilingual subjects to be used. Two experiments in which an attempt has been made to minimise the effect of some of the fundamental problems mentioned above, are globally discussed in the context of two models for the organisation of the monolingual lexicon (Forster, 1976; Morton, 1979). Within these experiments we investigated the effects of word-frequency and word-repetition within and between languages in respectively Dutch-English staff-members of the English-American Institute at the KUN and Dutch-English students, in order to explore the sharedness of lexical 'access-files' and for 'input-logogens'. In these experiments, that support an input-mechanism common to both English and Dutch, we have used cognates, words similar in form in both languages and differing in meaning (boot) or similar in meaning (hand).

Assessment of the Effectiveness of Gas Path Diagnostic Schemes

2004 ◽  
Vol 128 (1) ◽  
pp. 57-63 ◽  
Author(s):  
K. Mathioudakis ◽  
Ph. Kamboukos
Keyword(s):  
Gas Turbines ◽  
Individual Component ◽  
Uncertainty Propagation ◽  
Data Retrieval ◽  
Operating Conditions ◽  
Small Deviations ◽  
Component Identification ◽  
Operating Points ◽  
Selection Of

A variety of methods can be used for the diagnosis of faults in gas path components of gas turbines. Problems that are common for diagnostic method implementation are the choice of measured quantities, choice of health parameters, and choice of operating conditions for data retrieval. The present paper introduces some general principles for evaluation of the effectiveness of different diagnostic schemes. They encompass criteria proposed in past publications, while they offer additional possibilities for assessment of diagnostic effectiveness in various situations. The method is based on the evaluation of the behavior of linear systems, which are a good approximation of the nonlinear ones for small deviations and employs the concept of system condition number to formulate criteria. The determination of limits for this number for establishing system condition criteria and quantification of observability is examined, on the basis of uncertainty propagation. Sample problems evaluated are: maximizing effectiveness of individual component identification from a multiplicity of available measurements, selection of individual operating points for multipoint applications.

scholarly journals Cheminformatics Analysis of Natural Product Scaffolds: Comparison of Scaffolds Produced by Animals, Plants, Fungi and Bacteria

2020 ◽  
Author(s):  
Peter Ertl ◽  
Tim Schuhmann
Keyword(s):  
Natural Products ◽  
Natural Selection ◽  
Natural Product ◽  
Selection Process ◽  
Structural Features ◽  
New Drugs ◽  
Large Database ◽  
Biologically Relevant ◽  
Different Types ◽  
Selection Of

AbstractNatural products (NPs) have evolved over a very long natural selection process to form optimal interactions with biologically relevant macromolecules. NPs are therefore an extremely useful source of inspiration for the design of new drugs. In the present study we report the results of a cheminformatics analysis of a large database of NP structures focusing on their scaffolds. First, general differences between NP scaffolds and scaffolds from synthetic molecules are discussed, followed by a comparison of the properties of scaffolds produced by different types of organisms. Scaffolds produced by plants are the most complex and those produced by bacteria differ in many structural features from scaffolds produced by other organisms. The results presented here may be used as a guidance in selection of scaffolds for the design of novel NP-like bioactive structures or NP-inspired libraries.

Genre as cognitive construction

2018 ◽  
Vol 25 (3) ◽  
pp. 576-601
Author(s):  
Annalisa Baicchi ◽  
Aneider Iza Erviti
Keyword(s):  
Present Article ◽  
Data Retrieval ◽  
Distinctive Features ◽  
Inseparable Pair ◽  
Selection Of

Abstract The present article investigates a set of discourse connectors in the academic lecture genre from the viewpoint of the inseparable pair of pragmatics and cognition. Making use of the MICASE corpus for data retrieval, a selection of discourse constructions encoding comparative contrastive meanings are analysed and their distinctive features are critically described and explained. The aim is to show how each particular genre promotes the use of certain constructions. The MICASE database reveals that, among all the subgroups of complementary contrastive constructions, some seem incompatible with the academic lecture contexts by virtue of the particular characteristics of this specific genre.

scholarly journals 136: Optimatch® – Optimized Selection of Allele Matched Unrelated Donors from a Large Database

2008 ◽  
Vol 14 (2) ◽  
pp. 52 ◽  
Author(s):  
W. Bochtler ◽  
H.-P. Eberhard ◽  
M. Beth ◽  
C.R. Mueller
Keyword(s):  
Large Database ◽  
Unrelated Donors ◽  
Selection Of

Enhancement of the `auto-indexing' method for cell determination in four-circle diffractometry

1984 ◽  
Vol 17 (5) ◽  
pp. 334-336 ◽  
Author(s):  
W. Clegg
Keyword(s):  
Reduction Procedure ◽  
Proper Selection ◽  
Lattice Vector ◽  
Cell Determination ◽  
Reflection Data ◽  
Vector Generation ◽  
Indexing Method ◽  
Special Cases ◽  
Direct Lattice ◽  
Selection Of

Enhancements in the auto-indexing procedure for cell determination improve its power and reliability. A proper selection of three basis reflections for construction of an initial subcell is essential. A standard cell-reduction procedure applied to the subcell, and the calculation of appropriate limits for the direct-lattice-vector generation integers, make a comprehensive coverage of the direct space efficient and effective. Refinement of the generated lattice vectors against all the available reflection data makes assignment of the correct unit cell easier and more reliable. Generation of some additional long vectors is recommended in special cases.

scholarly journals A WEB-BASED INTERACTIVE PLATFORM FOR CO-CLUSTERING SPATIO-TEMPORAL DATA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 175-179
Author(s):  
X. Wu ◽  
A. Poorthuis ◽  
R. Zurita-Milla ◽  
M.-J. Kraak
Keyword(s):  
Clustering Algorithm ◽  
Temporal Patterns ◽  
Temporal Data ◽  
Web Based ◽  
Server Side ◽  
Exploratory Data ◽  
Spatio Temporal ◽  
Client Side ◽  
Concurrent Analysis ◽  
Selection Of

Since current studies on clustering analysis mainly focus on exploring spatial or temporal patterns separately, a co-clustering algorithm is utilized in this study to enable the concurrent analysis of spatio-temporal patterns. To allow users to adopt and adapt the algorithm for their own analysis, it is integrated within the server side of an interactive web-based platform. The client side of the platform, running within any modern browser, is a graphical user interface (GUI) with multiple linked visualizations that facilitates the understanding, exploration and interpretation of the raw dataset and co-clustering results. Users can also upload their own datasets and adjust clustering parameters within the platform. To illustrate the use of this platform, an annual temperature dataset from 28 weather stations over 20 years in the Netherlands is used. After the dataset is loaded, it is visualized in a set of linked visualizations: a geographical map, a timeline and a heatmap. This aids the user in understanding the nature of their dataset and the appropriate selection of co-clustering parameters. Once the dataset is processed by the co-clustering algorithm, the results are visualized in the small multiples, a heatmap and a timeline to provide various views for better understanding and also further interpretation. Since the visualization and analysis are integrated in a seamless platform, the user can explore different sets of co-clustering parameters and instantly view the results in order to do iterative, exploratory data analysis. As such, this interactive web-based platform allows users to analyze spatio-temporal data using the co-clustering method and also helps the understanding of the results using multiple linked visualizations.

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