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Indexing of Arabic documents automatically based on lexical analysis  [PDF]
Abdulrahman Al Molijy,Ismail Hmeidi,Izzat Alsmadi
Computer Science , 2012,
Abstract: The continuous information explosion through the Internet and all information sources makes it necessary to perform all information processing activities automatically in quick and reliable manners. In this paper, we proposed and implemented a method to automatically create and Index for books written in Arabic language. The process depends largely on text summarization and abstraction processes to collect main topics and statements in the book. The process is developed in terms of accuracy and performance and results showed that this process can effectively replace the effort of manually indexing books and document, a process that can be very useful in all information processing and retrieval applications.
Automatically Discovering Hidden Transformation Chaining Constraints  [PDF]
Raphael Chenouard,Frédéric Jouault
Computer Science , 2010, DOI: 10.1007/978-3-642-04425-0_8
Abstract: Model transformations operate on models conforming to precisely defined metamodels. Consequently, it often seems relatively easy to chain them: the output of a transformation may be given as input to a second one if metamodels match. However, this simple rule has some obvious limitations. For instance, a transformation may only use a subset of a metamodel. Therefore, chaining transformations appropriately requires more information. We present here an approach that automatically discovers more detailed information about actual chaining constraints by statically analyzing transformations. The objective is to provide developers who decide to chain transformations with more data on which to base their choices. This approach has been successfully applied to the case of a library of endogenous transformations. They all have the same source and target metamodel but have some hidden chaining constraints. In such a case, the simple metamodel matching rule given above does not provide any useful information.
Automatically Discovering Relaxed Lyapunov Functions for Polynomial Dynamical Systems  [PDF]
Jiang Liu,Naijun Zhan,Hengjun Zhao
Mathematics , 2011,
Abstract: The notion of Lyapunov function plays a key role in design and verification of dynamical systems, as well as hybrid and cyber-physical systems. In this paper, to analyze the asymptotic stability of a dynamical system, we generalize standard Lyapunov functions to relaxed Lyapunov functions (RLFs), by considering higher order Lie derivatives of certain functions along the system's vector field. Furthermore, we present a complete method to automatically discovering polynomial RLFs for polynomial dynamical systems (PDSs). Our method is complete in the sense that it is able to discover all polynomial RLFs by enumerating all polynomial templates for any PDS.
Discovering Genomics, Proteomics and Bioinformatics  [cached]
Acta bioqu?-mica cl?-nica latinoamericana , 2009,
Physical-chemical characterization of fruits of Biri-biri (Averrhoa bilimbi L.)
Emmanuelle Rodrigues Araújo,Lania Isis Ferreira Alves,Elizanilda Ramalho do Rêgo,Maílson Monteiro do Rêgo
Biotemas , 2009,
Abstract: The aim of this work was to analyze the physical and chemical characteristics of “biri-biri” fruits (Averrhoa bilimbi L.) collected at different maturation stages. The following fruit morphometrics and chemical characters were analyzed: weight, number of seeds, length, major and minor width, pH, the soluble content of solids (TSS), titrable acidity and vitamin C. The soluble content of solids showed values from 2.32 to 3.23°Brix, being higher in ripe fruits and correlating with the values for acidity which varied from 1.15 to 1.66g/100g-1 in green and ripe fruits, respectively. However the levels of vitamin C were higher in green fruits, although there were no significant differences at mature levels.
Isidoro Gil-Leiva,Isidoro Gil-Leiva
Brazilian Journal of Information Science , 2007,
Abstract: It is presented an analysis of the presence of indexing at the Internet supported by the idea that good part of the basic pillars in the ones which this web of computers is based is impregnated in higher or lower measure by indexing. The pillars are the metadata, the searchers, the users and the web positioning. Each one of these elements is reviewed to prove the approach which is accomplished the one is denominated Universe of the Web Indexing.
An algorithm for discovering Lagrangians automatically from data  [PDF]
D. J. A. Hills,A. M. Grütter,J. J. Hudson
Physics , 2015,
Abstract: An activity fundamental to science is building mathematical models. These models are used to both predict the results of future experiments and gain insight into the structure of the system under study. We present an algorithm that automates the model building process in a scientifically principled way. The algorithm can take observed trajectories from a wide variety of mechanical systems and, without any other prior knowledge or tuning of parameters, predict the future evolution of the system. It does this by applying the principle of least action and searching for the simplest Lagrangian that describes the system's behaviour. By generating this Lagrangian in a human interpretable form, it also provides insight into the working of the system.
Corpus Development for Affective Video Indexing  [PDF]
Mohammad Soleymani,Martha Larson,Thierry Pun,Alan Hanjalic
Computer Science , 2012, DOI: 10.1109/TMM.2014.2305573
Abstract: Affective video indexing is the area of research that develops techniques to automatically generate descriptions of video content that encode the emotional reactions which the video content evokes in viewers. This paper provides a set of corpus development guidelines based on state-of-the-art practice intended to support researchers in this field. Affective descriptions can be used for video search and browsing systems offering users affective perspectives. The paper is motivated by the observation that affective video indexing has yet to fully profit from the standard corpora (data sets) that have benefited conventional forms of video indexing. Affective video indexing faces unique challenges, since viewer-reported affective reactions are difficult to assess. Moreover affect assessment efforts must be carefully designed in order to both cover the types of affective responses that video content evokes in viewers and also capture the stable and consistent aspects of these responses. We first present background information on affect and multimedia and related work on affective multimedia indexing, including existing corpora. Three dimensions emerge as critical for affective video corpora, and form the basis for our proposed guidelines: the context of viewer response, personal variation among viewers, and the effectiveness and efficiency of corpus creation. Finally, we present examples of three recent corpora and discuss how these corpora make progressive steps towards fulfilling the guidelines.
Content Based Image Indexing and Retrieval  [PDF]
Avinash N Bhute,B. B. Meshram
Computer Science , 2014,
Abstract: In this paper, we present the efficient content based image retrieval systems which employ the color, texture and shape information of images to facilitate the retrieval process. For efficient feature extraction, we extract the color, texture and shape feature of images automatically using edge detection which is widely used in signal processing and image compression. For facilitated the speedy retrieval we are implements the antipole-tree algorithm for indexing the images.
Gcube Indexing  [PDF]
M. Laxmaiah,A. Govardhan
Computer Science , 2013, DOI: 10.5121/ijdkp.2013.3406
Abstract: Spatial Online Analytical Processing System involves the non-categorical attribute information also whereas standard Online Analytical Processing System deals with only categorical attributes. Providing spatial information to the data warehouse (DW); two major challenges faced are;1.Defining and Aggregation of Spatial/Continues values and 2.Representation, indexing, updating and efficient query processing. In this paper, we present GCUBE(Geographical Cube) storage and indexing procedure to aggregate the spatial information/Continuous values. We employed the proposed approach storing and indexing using synthetic and real data sets and evaluated its build, update and Query time. It is observed that the proposed procedure offers significant performance advantage.
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