Mobile Ad-hoc network (MANET) is the guiding technology of ubiquitous era and a cornerstone in the 4G communication architecture. MANET has limited resources and characterized with high mobility and frequent topology change. Routing in MANET should follow these constrains, otherwise, it can severely degrade the performance of MANET. Owing to Greedy routing (GFS) nature in MANET, a certain part of the MANET becomes congested before other parts. In such area the nodes have failed to forward packets in a timely manner or drop them, thus such nodes called Network Holes. This paper presents a simple and efficient enhanced GFS routing algorithm called Intelligent Fuzzy logic Greedy forwarding Scheme (IFGFS). IFGFS consider the De-congestion level of each mobile node as another selective metric besides distance. In order to validate our algorithm, we rely on a wide simulation experiments. The evaluation results showed the correctness of our new proposed algorithm the adaptive- congestion IFGFS which maximize the performance of the network.

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Journal: ComputerandInformation Science; Vol. 11, No. 2; 2018 ISSN 1913-8989 E-ISSN 1913-8997

Application of mobile ad hoc networks (MANETs) has gained significant popularity among researchers in the field of data communication networks. However, a MANET operating in a wireless environment imposes a number of challenges for the implementers so far as routing of packets across it is concerned. There is a wide range of research contributions are available in the literature wherein authors propose various solutions to overcome the problems and bottleneck related to routing in MANET. Especially soft computing techniques and Ant Colony Optimization (ACO) in particular has been significantly popular among the researchers to resolve MANET routing issues. This technique plays a vital role in route discovery in particular. In this paper, we have conducted a comprehensive review of this technique applied to routing in MANET with respect to various criteria. Hopefully this paper serves to a perfect document for researchers in this field.

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Journal: Computer and Information Science; Vol. 12, No. 1; 2019 ISSN 1913-8989 E-ISSN 1913-8997

Transfer-based technique is currently one of the most widely used methods of machine translation. The idea behind this method is to have an intermediate representation that captures the meaning of the original sentence in order to generate the correct translation. In this paper we have explored several features of Arabic pertinent to MT. The hypothesis under investigation and main aims of this paper are to build a robust lexical Machine Translation (MT) system that will accept Arabic source sentences (SL) and generate English sentences as a target language (TL), and to examine how the challenges imposed by this particular language pair are tackled. The paper represents as well a starting point for the future implementation of a successful Arabic MT engine. The conducted experiment proves that our system (AE-TBMT) has scored the highest percentage by 96.6%, this means that only three percent of the entire test examples have not been handled correctly, and this result is considered fair if not good, as the other three systems score below that mark

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Journal: International Journal of Information and Communication Technology

Recently Machine Translation (MT) has become a testing ground for many ideas in artificial intelligence (AI) as well as linguistics. Word ordering plays an important role in the translation process between languages. This research is attempting to examine the implications of using verb subject object (VSO) and subject verb object (SVO) words order on the agreement requirements in MT. Approach: The main objective of this research is to develop a hybrid-based MT (EA-HBMT) to improve the quality of MT from English to Arabic. transfer-based MT is used to obtain an intermediate representation that captures the “meaning” of the original sentence in order to generate the correct translation. example based-technique is used as well to handle the irregular cases. semantic analysis process is mainly conducted to detect the statements that require the use of SVO construction rather than VSO. Results: we have constructed an agreement and ordering tests suite; that has been used in testing different agreement and ordering features in four Arabic MT systems, they are, ALKAFI, GOOGLE and TARJIM SAKHR versus EA-HBMT. These examples have been used in exploring and evaluating the agreement and ordering problems throughout three experiments. In the first experiment we have classified the problems that cause that agreement and ordering into twelve and we compare between the four systems outputs with the original translation of the input text based on these twelve problems. In the second experiment we tested each statement separately, by comparing the particular on-line translation with the original human translation based on the number of the correct translated words in the target language. Conclusion: Based on the achieved results, we have managed to perform the Symantec analysis within Arabic source texts by using hybrid-based machine translation and also achieved reasonable improvements in translation quality ove

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Journal: International Journal of Soft Computing And Software Engineering (JSCSE) (2012): 49-60

The primary aim of the e-government applications is the fast citizen service and the accomplishment of governmental functions. This paper discusses the knowledge management for egovernment development in the needs and role. The paper focused on analyzing the advantages of using knowledge management by using the existing IT technologies to maximize the government functions efficiency. The proposed new approach of providing government services is based on using Knowledge management as a part of e-government system.

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Journal: Vol:5, No:3, 2011

The Wi-Fi becomes very common in different environments today. The availability of control and local wireless LAN in addition to supply a communication channel makes the Wi-Fi the choice of many domestic services and personal applications. This paper proposed a design and implementation of new controlling and monitoring system that used Wi-Fi technology as a network infrastructure topology to connect its parts. This design provides an appropriate interface to the sensors and actuators of the desired environment and provides scalability and flexibility that can manage many hardware interfaces as long as it exists on the range of the Wi-Fi network coverage. The presented system support many environments like home, medical, educational and industrial. Provide monitoring and control using many sensors and actuators. The evaluation shows that the design provides many benefits like, reduced installation costs, where single Wi-Fi system can accomplish many functions with minimal hardware setup. In addition, the presented system is easy deployment, installation, and coverage.

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Journal: Volume 65, 2015, Pages 17-24

Parallel search is a way to increase search speed by using additional processors. Researchers propose a parallel search algorithm that searches an item in unordered array, the searching time obtained is better than that obtained in binary search. That is justified by the fact that the binary search requires a variant time for sorting the input array. The speed up of the proposed algorithm is increased linearly with the input size by saving the time spent in sorting input data. In the proposed algorithm, the array to be searched is divided into two subarrays and then, two search threads are created in parallel which required O (n/2) in the worst case (where all the items is scanned), reducing the searching time in the worst case to O (n/2+log n). Log n is the time needed to splitting an array of size n. The efficiency is increased quickly for an input size of 5000-1,000,000 item. However, the efficiency suffers a little variation for an input size of 1,000,000-5,000,000 item that is because the binary search has an optimal running time for large sorted input size where the searching space is reduced by a factor of 2 each time.

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Journal: 2011 | Volume: 6 | Issue: 1 | Page No.: 70-75

the current work investigates a developed automatic Arabic text summarization model. In this model, a technique of word root clustering is used as the major activity. Unlike the previously presented systems of Arabic text summarization in the extract based design field, the current model adopts cluster weight of word roots instead of the word weight itself. The model is thoroughly illustrated through its different stages. Obviously, the general scheme follows traditional descriptive model of most of the system stages in literature with the exception of the ranking stage. This model with its developed technique has been subjected to a set of experiments. Various Arabic text examples are used for evaluation purposes. The efficiency of the summarization is calculated in terms of Precision and Recall measures. Result obtained actually is considered promising and competitive to the verb/noun categorization ranking method. This enhancement has been detected for Precision 76% and Recall 79% with the analogous values of 62% and 70% obtained in the verb/noun categorization method. The enhancement emerges in this tangible result is attributed to the implicit embedding of semantic capability of the developed model to expand the extract boundaries towards the abstract extremes of the design theme.

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Journal: ISSN: 2221-0741 Vol. 2, No. 3, 62 – 67, 2012

Companies currently use product lines to enhance products qualities and to lower the development and marketing costs. Many approaches available to support product lines, but most of them fail to address safety critical requirements in their approaches. In this paper we present DOPLER+ , an approach to handle safety critical system requirements and the addition of new safety critical requirements, and their influences on other features and requirement within the product line. To illustrate our approach, we apply DOPLER+ to mobile robot case study.

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Journal: Computer and Information Science; Vol. 6, No. 4; 2013 ISSN 1913-8989 E-ISSN 1913-8997

This paper presents a preliminary investigation into the contextual factors surrounding Mobile Learning (M-learning) systems. A set of experimental trials demonstrating different learning settings were conducted within Jerash University environment; results achieved were used to draw some implications for the design of future context adaptive M-learning system. The newly designed system meets users learning requirements and is more suitable to the learning conditions and environment

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Journal: ISSN: 2221-0741 Vol. 2, No. 1, 13-17, 2012