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Search Results: 1 - 10 of 665 matches for " Ihab Amer "
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Formal Method to Derive Interoperability Requirements and Guarantees
Hazem El-Gendy,Magdi Amer,Ihab Talkhan
International Journal of Advanced Computer Sciences and Applications , 2013,
Abstract: Interoperability among telecommunications systems, possibly by different vendors, is essential for both the development of many telecommunications networks, and today's civilization development. Interoperability testing is very costly, as it has a complexity of (n**2) for n systems, and somewhat informal. In this paper, we develop a 'Conformance Testing (CT)'-based formal technique to determine interoperability requirements/guarantees. It allows automated derivation of the interoperability' requirements of various networks as well as the interoperability guarantees among different telecommunications systems. This is achieved using static analysis of the conformance classes of the standard and knowledge of the implementation's degree of conformance (DoC) of the telecommunications systems. Consequently, it results in a lot of cost saving in addition to being a formal technique.
Asynchronous Realization of Algebraic Integer-Based 2D DCT Using Achronix Speedster SPD60 FPGA
Nilanka Rajapaksha,Amila Edirisuriya,Arjuna Madanayake,Renato J. Cintra,Dennis Onen,Ihab Amer,Vassil S. Dimitrov
Journal of Electrical and Computer Engineering , 2013, DOI: 10.1155/2013/834793
Abstract: Transformation and quantization play a critical role in video codecs. Recently proposed algebraic-integer-(AI-) based discrete cosine transform (DCT) algorithms are analyzed in the presence of quantization, using the High Efficiency Video Coding (HEVC) standard. AI DCT is implemented and tested on asynchronous quasi delay-insensitive logic, using Achronix SPD60 field programmable gate array (FPGA), which leads to lower complexity, higher speed of operation, and insensitivity to process-voltage-temperature variations. Performance of AI DCT with HEVC is measured in terms of the accuracy of the transform coefficients and the overall rate-distortion (R-D) characteristics, using HM 7.1 reference software. Results indicate a 31% improvement over the integer DCT in the number of transform coefficients having error within 1%. The performance of the 65?nm asynchronous hardware in terms of speed of operation is investigated and compared with the 65?nm synchronous Xilinx FPGA. Considering word lengths of 5 and 6 bits, a speed increase of 230% and 199% is observed, respectively. These results indicate that AI DCT can be potentially utilized in HEVC for applications demanding high accuracy as well as high throughput. However, novel quantization schemes are required to allow the accuracy improvements obtained. 1. Introduction High dynamic range (HDR) video and image transmission over digital communication channels is undergoing exponential growth [1]. With the increasing demand for high-definition programming, there exists a strong need for efficient digital video coding (DVC) that provides high data compression ratios which in turn leads to better utilization of network resources [2]. The H.264/AVC standard [3] does not provide the required compression ratios for emerging capture and display technologies such as ultra high definition (UHD) [4], multiview [5], and autostereoscopy [6]. To address such emerging needs, the Joint Collaborative Team on Video Coding (JCT-VC) has developed the successor for H.264/AVC, called High Efficiency Video Coding (HEVC) [4]. The HEVC standard aims at achieving a 50% reduction in data rate compared with its predecessors while maintaining low complexity computation. Video compression systems operating at high frequencies and resolutions require hardware capable of significant throughput with tolerable area and power requirements. Real-time video compression circuits having high numerical accuracy are needed for next-generation video [1], coding systems [2, 3, 7], and retina displays [8]. The two-dimensional (2D) 8 8 discrete cosine
Contribution of Topographically Explicit Descriptors of Landscape Measures for Application in the Vector Data Environment  [PDF]
Auda Yves, Jomaa Ihab
Journal of Geographic Information System (JGIS) , 2010, DOI: 10.4236/jgis.2010.23023
Abstract: Digital terrain models (DTMs) are not commonly used to integrate for landscape spatial analysis. Two dimensional patchcorridormatrix models are prototypes in landscape spatial ecology analysis. Previous studies have motivated ecologists to integrate terrain models in landscape analysis through 1) adjusting areas and distance calculations prior computing landscape indices; 2) designing new indices to capture topography and 3) searching the possible relationship between topographic characteristics and vegetation patterns. This study presents new indices called Relative number of Topographic Faces (RTF) and Simplicity of topographic Faces (STF) that can be easily computed in a GIS environment, capturing topographical features of landscapes. Digital terrain model was first prepared and topographic units were extracted and installed in computing the suggested indices. Mountainous and rugged topography in Lebanon was chosen on a forested landscape for the purpose of this study. The indices were useful in monitoring changes of topographic features on patch and landscape level. Both indices are ecologically useful if integrated in landscape pattern analysis, especially in areas of rugged terrains.
Optimization of Sesame Oil Extraction Process Conditions  [PDF]
Abubakr Elkhaleefa, Ihab Shigidi
Advances in Chemical Engineering and Science (ACES) , 2015, DOI: 10.4236/aces.2015.53031
Abstract: In this study, the optimum operating conditions for sesame oil extraction were studied. N-hexane was used as a solvent. Different variables were investigated; sesame seeds particle sizes, ratio of solvent to seeds mass, contact time, stirring effect, roasting impact and extraction temperatures. Results obtained showed that higher rates of extraction were obtained when roasting sesame seed to 15. The ratio of solvent to seeds found to be 6:1 gave higher extraction. Moreover, stirring speed was tested and had been optimized to 600 rpm. Finally, the extraction under heating was studied and results showed that increasing operating temperature to more than 40 did not increase extraction efficiency.
Mapping Glitches of Juniper Forests in Lebanon under Natural Conditions and Anthropogenic Activities  [PDF]
Ihab Jomaa, Carla Khater
Open Journal of Forestry (OJF) , 2019, DOI: 10.4236/ojf.2019.92008
Abstract: In 1965, the first forest map of Lebanon was produced. It is the oldest spatial distribution representation of junipers. Landcover maps of 2002 and 2010 are the most detailed spatial distribution that spatially shows forests. Juniper forests are found in Lebanon as mainly as clear to low density coverage. High-density juniper forests are rarely found and only on Mount-Lebanon. Juniper forests are also mixed with oaks on the Eastern flank of Mount-Lebanon. Mapping juniper forests have demonstrated high degree of complexity, especially because of their low density and being mixed. The spatial representation of juniper forests was compared between the 1965 forest map and the landcover maps of 2002 and 2010. GIS environment was used to extract juniper forests from all maps. The degree of matching between juniper forests was investigated regarding the total area and spatial overlapping. Juniper forests were examined to their spatial locations, comparing the three maps. Spatial changes and anthropogenic effect were obtained, using Google Earth facilities. Google earth had satellite images acquired since 2014. Landcover maps of 2002 and 2010 have spatially matched forest map of 1965 by about 90% and 50% respectively. Spatial coverage of juniper forests were about 12,000, 26,000 and 28,000 ha on the 1965 forest map, landcover maps of 2003 and 2010 respectively. Anti-Lebanon juniper forests were not well represented on both landcover maps. Anthropogenic activities were mainly agriculture that affected juniper forests. Cultivations have replaced about 2% of the spatial coverage of 1965 Juniper forests. Quarries and urban existed inside juniper forests but in very limited areas. Juniper forests delineation did not completely match neither between the available maps, nor to the ground. Some juniper forests were not spatially represented on all maps or existing maps represented only portion of juniper forests. Juniper forest mapping requires more consideration and field investigation. High spatial resolution satellite images are among the solutions but delimiting juniper would require extensive fieldwork and specific remote sensing treatments. Being centuries old forests and characterized by High Mountain elevations, these important conifer forests are needed to be mapped with higher accuracy for better statistics and conservation.
A Statistical Approach For Latin Handwritten Digit Recognition
Ihab Zaqout
International Journal of Advanced Computer Sciences and Applications , 2011,
Abstract: A simple method based on some statistical measurements for Latin handwritten digit recognition is proposed in this paper. Firstly, a preprocess step is started with thresholding the gray-scale digit image into a binary image, and then noise removal, spurring and thinning are performed. Secondly, by reducing the search space, the region-of-interest (ROI) is cropped from the preprocessed image, then a freeman chain code template is applied and five feature sets are extracted from each digit image. Counting the number of termination points, their coordinates with relation to the center of the ROI, Euclidian distances, orientations in terms of angles, and other statistical properties such as minor-to-major axis length ratio, area and others. Finally, six categories are created based on the relation between number of termination points and possible digits. The present method is applied and tested on training set (60,000 images) and test set (10,000 images) of MNIST handwritten digit database. Our experiments report a correct classification of 92.9041% for the testing set and 95.0953% for the training set.
Printed Arabic Characters Classification using A Statistical Approach
Ihab Zaqout
International Journal of Computers & Technology , 2012,
Abstract: In this paper, we propose simple classifiers for printed Arabic characters based on statistical analysis. 109 printed Arabic character images are created for each one of transparent, simplified and traditional Arabic fonts. Images are preprocessed by the binarization and followed by sequence of morphological operations. A non-linear filter is applied on the thinned ridge map to extract termination and bifurcation features. The thinned ridge map vectors (TRMVs) are created using a freeman chain code template. The spatial distribution and statistical properties of the extracted features are calculated.
Ihab Zaqout
International Journal of Computers & Technology , 2012,
Abstract: Current new generations of smart phones have high technical potential where they can benefit from them in several areas, including telecare applications. This research aims to develop a simple system to analyze and study of fingerprint images from the video captured for monitoring the heart rate (HR) without the need for sensors. The mean frame difference (MFD) vector is the averaged difference between each two consecutive frames, candidate peaks chosen are positive signals and higher than their two neighborhoods, and outliers are removed using the Quartile method. Virtual peaks are estimated from their calculated signals and the mean-error (E) is computed to choose the proper peaks. Experimental results are compared against Nonin Go2 Fingertip Pulse Oximeter readings and show that the overall performance of our system is 87.91%.
Adapting LTE M-2-M Protocol Standard to Fulfil Latency Requirements for IEC 61850 GOOSE Messages  [PDF]
Ali M. Allam, Mohamed Saied, Ihab Aly
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2015, DOI: 10.4236/ijcns.2015.85017
Abstract: Generic Object Oriented Substation Event (GOOSE) Messages face a great challenge in its communication requirements especially in latency point of view. The appearance of the Long-Term Evolution (LTE) has opened a new way that can be used due to its great performance, compared with previous wireless technologies. In order to use LTE technology within the GOOSE message transfer, several points must be put into consideration, and additional requirements need to be within both LTE User Equipment (UE) side and network side. In this paper, we are going to adapt part of the LTE standards to fulfil the requirements of GOOSE messages which needs latency more than or equal to 20 ms, using an experimental approach. The results show that LTE can satisfy the target requirements of latency within the acceptable Bit Error Rate (BER).
Sharp Expansion of Intensive Groundwater Irrigation, Semi-Arid Environment at the Northern Bekaa Valley Lebanon  [PDF]
Ihab Jomaa, Myriam Saad? Sbeih, Ronald Jaubert
Natural Resources (NR) , 2015, DOI: 10.4236/nr.2015.66036
Abstract: This research focuses on the sharp expansion of groundwater irrigation in the Northern Beqaa, using Landsat satellite images and other auxiliary GIS relevant data sources. Topographic maps were used to assess the location and size of the irrigated area in the early 1960s as the initial years of agriculture expansion analysis. The first available Landsat image of the area was of the year 1972 followed with a series of accessible Landsat images until 2009. In the 1960s, agricultural practices were only limited to areas of surface water resources and open channels next to urban settlements. In the Early 1980s, farmers discovered the agricultural potential of the area. Only 3% of the area was cultivated before the 1970s. The cultivated area reached about the 20% in late 1990s. Weather conditions, shallowness of groundwater tables, low fuel costs and market opportunities have led to an agricultural boom in the area considered as prone to desertification and of low productivity by national authorities. The area is however poorly understood from its hydro geological characteristics and exposed to intensive and unsustainable use of its natural resources.
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