1,195 research outputs found
Arabic Spelling Correction using Supervised Learning
In this work, we address the problem of spelling correction in the Arabic
language utilizing the new corpus provided by QALB (Qatar Arabic Language Bank)
project which is an annotated corpus of sentences with errors and their
corrections. The corpus contains edit, add before, split, merge, add after,
move and other error types. We are concerned with the first four error types as
they contribute more than 90% of the spelling errors in the corpus. The
proposed system has many models to address each error type on its own and then
integrating all the models to provide an efficient and robust system that
achieves an overall recall of 0.59, precision of 0.58 and F1 score of 0.58
including all the error types on the development set. Our system participated
in the QALB 2014 shared task "Automatic Arabic Error Correction" and achieved
an F1 score of 0.6, earning the sixth place out of nine participants.Comment: System description paper that is submitted in the EMNLP 2014
conference shared task "Automatic Arabic Error Correction" (Mohit et al.,
2014) in the Arabic NLP workshop. 6 page
Acceleration Techniques for Photo Realistic Computer Generated Integral Images
The research work presented in this thesis has approached the task of accelerating the
generation of photo-realistic integral images produced by integral ray tracing.
Ray tracing algorithm is a computationally exhaustive algorithm, which spawns one ray
or more through each pixel of the pixels forming the image, into the space containing
the scene. Ray tracing integral images consumes more processing time than normal
images. The unique characteristics of the 3D integral camera model has been analysed
and it has been shown that different coherency aspects than normal ray tracing can be
investigated in order to accelerate the generation of photo-realistic integral images.
The image-space coherence has been analysed describing the relation between rays and
projected shadows in the scene rendered. Shadow cache algorithm has been adapted in
order to minimise shadow intersection tests in integral ray tracing. Shadow intersection
tests make the majority of the intersection tests in ray tracing. Novel pixel-tracing
styles are developed uniquely for integral ray tracing to improve the image-space
coherence and the performance of the shadow cache algorithm. Acceleration of the
photo-realistic integral images generation using the image-space coherence information
between shadows and rays in integral ray tracing has been achieved with up to 41 % of
time saving. Also, it has been proven that applying the new styles of pixel-tracing does
not affect of the scalability of integral ray tracing running over parallel computers.
The novel integral reprojection algorithm has been developed uniquely through
geometrical analysis of the generation of integral image in order to use the tempo-spatial
coherence information within the integral frames. A new derivation of integral
projection matrix for projecting points through an axial model of a lenticular lens has
been established. Rapid generation of 3D photo-realistic integral frames has been
achieved with a speed four times faster than the normal generation
Bioinsecticide activity of Bacillus thuringiensis isolates on tomato borer, Tuta absoluta (Meyrick) and their molecular identification
Twelve (12) bacterial isolates were isolated from dead larvae of Tuta absoluta (4th instar) from tomato cultivated fields at Fayoum Governorate, Egypt. All isolates were preliminarily identified as members of the genus Bacillus based on morphological and biochemical characteristics. According to the results of the pathogenicity of Bacillus isolates against different larval instars of T. absoluta, the 12 isolates revealed varying efficiencies and the isolates B1, B2, B3 and B4 showed high mortality of 93.3, 90, 86.7 and 80% on day 7, respectively, on the 4th instar larvae. Also, protecto (Bacillus thuringiensis subsp. kurstaki) recorded the highest mortality when the 4th instar larvae were treated with 2 g / 2 liter of water (96.7%) on the 5th day post treatment. Isolate B12 recorded the lowest percentage mortality of the 4th instar larvae (13.3%). In addition, there was a significant decrease in egg hatching percentage reaching 44.12% compared with the control, meanwhile, the adult emergence decreased after treatment and only 38 and 30 adults emerged from the cages containing tomato plants infested by eggs with B1 and protecto compared with the control which gave 253 adults that emerged. Further, genetic identification of 12 isolates was performed using randomly amplified poylmorphic DNA (RAPD) markers to determine their genetic diversity pattern. Different random primers were used for RAPD amplification, which generated a total of 52 fragments; of these 42 were polymorphic and 10 monomorphic. The primers OPA02, OPA04, and OPA07 produced 100% polymorphic fragments, whereas primers OPA1, OPA3, OPA05, OPA06, OPA08 and OPA09 produced 1, 3, 1, 2, 1 and 2 monomorphic fragments, respectively. When the RAPD banding pattern data was subjected to dendrogram construction, the 4 isolates fell into two separate clusters, clusters I cluster II, which includes 1 and 3 B. thuringiensis isolates, respectively. The RAPD technique was shown to be effective in differentiating closely related isolates and applied to confirm the identification of Bacillus isolates by API system which was used to reveal the phylogenetic relationships between the isolates.Keywords: Bacillus thuringiensis, bioinsecticide, randomly amplified poylmorphic DNA-polymerase chain reaction (RAPD-PCR), instar larvae, Tuta absolutaAfrican Journal of Biotechnology Vol. 12(23), pp. 3699-370
Convergence des EDSRs et homogéneisation des inégalités variationnelles semilinéaires dans un convexe
AbstractWe study the limit of the solution of a Semi-linear Variational Inequality (SVI for short) involving a second order differential operator of parabolic type with periodic coefficients and highly oscillating term. Our basic tool is the approach given by Pardoux [16]. In particular, we use the weak convergence of an associated reflected Backward Stochastic Differential Equation (BSDE for short)
Non-dominated sorting gravitational search algorithm for multi-objective optimization of power transformer design
Transformers are crucial components in power
systems. Due to market globalization, power
transformer manufacturers are facing an
increasingly competitive environment that
mandates the adoption of design strategies yielding
better performance at lower mass and losses.
Multi-objective Optimization Problems (MOPs)
consist of several competing and incommensurable
objective functions. Recently, as a search
optimization technique inspired by nature,
evolutionary algorithms have been broadly applied
to solve MOPs. In this paper, a power Transformer
Design (TD) methodology using Non-dominated
Sorting Gravitational Search Algorithm (NSGSA)
is proposed. Results are obtained and presented
for NSGSA approach. The obtained results for the
study case are compared with those results
obtained when using other multi objective
optimization algorithms which are Novel Gamma
Differential Evolution (NGDE) Algorithm, Chaotic
Multi-Objective Algorithm (CMOA), and Multi-
Objective Harmony Search (MOHS) algorithm.
From the analysis of the obtained results, it has
been concluded that NSGSA algorithm provides
the most optimum solution and the best results in
terms of normalized arithmetic mean value of two
objective functions using NSGSA to the TD
optimization
Geotechnical properties of paper recycling waste streams
This paper studies two waste streams of the paper recycling industry for potential use in geotechnical applications. Namely, de-inking paper sludge from the secondary treatment stage, and paper sludge ash (PSA) obtained from the incineration of this sludge. Salient geotechnical properties of the statically compacted sludge before and after stabilisation with lime or PSA are presented. Tests include shear box testing, uniaxial compressive strength (UCS) testing, 1-D swelling and compression in oedometric conditions, p-wave velocity measurements using a Portable Ultrasonic Non-destructive Digital Indicating Tester (PUNDIT), and filter paper testing to determine water retention characteristics. The volume changes of the untreated sludge were found to be considerable in all above tests; however its shear strength at a highly compacted state was overall adequate. Chemical stabilization of the sludge was effective in reducing volume changes. The PSA was also assessed as a silt soil stabiliser. As geomaterial stabiliser, PSA was found to have a similar or better performance than lime. Overall the results are encouraging and indicate that it is possible to use paper industry waste in geotechnical applications
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