Ahmed Sayed Abd El Hamid Salama

01/01/2024

https://www.aasmr.org/jsms/Vol14/No.1/Vol.14%20No.1.21.pdf

Ahmed Sayed Abd El Hamid Salama

15/01/2022

http://www.jatit.org/volumes/Vol100No1/11Vol100No1.pdf

Ahmed Sayed Abd El Hamid Salama

Ahmed Gehad, Alaa M. El Ghazaly

01/03/2015

The interest in statistical machine translation systems increases currently due to political and social events in the world. A proposed Statistical Machine Translation (SMT) based model that can be used to translate a sentence from the source Language (English) to the target language (Arabic) automatically through efficiently incorporating different statistical and Natural Language Processing (NLP) models such as language model, alignment model, phrase based model, reordering model, and translation model. These models are combined to enhance the performance of statistical machine translation (SMT). Many implementation tools have been used in this work such as Moses, Gizaa++, IRSTLM, KenLM, and BLEU. Based on the implementation, evaluation of this model, and comparing the generated translation with other implemented machine translation systems like Google Translate, it was proved that this proposed model has enhanced the results of the statistical machine translation, and forms a reliable and efficient model in this field of research.

Ahmed Sayed Abd El Hamid Salama

01/01/2015

Mobile Computing (MC) provides multi services and a lot of advantages for millions of users across the world over the internet. Millions of business customers have leveraged cloud computing services through mobile devices to get what is called Mobile Cloud Computing (MCC). MCC aims at using cloud computing techniques for storage and processing of data on mobile devices, thereby reducing their limitations. This paper proposes architecture for a Swarm Intelligence Based Mobile Cloud Computing Model (SIBMCCM). A model that uses a proposed Parallel Particle Swarm Optimization (PPSO) algorithm to enhance the access time for the mobile cloud computing services which support different E Commerce models and to better secure the communication through the mobile cloud and the mobile commerce transactions.

Ahmed Sayed Abd El Hamid Salama

Amany A. Omar

01/01/2014

Fraudulent financial reporting has become an important issue in accounting profession, the implementation of self-assessment system appears as incentives to companies to misstate their financial reports to reduce tax obligation. Fraudulent financial reporting may cause fast losses to government income, as well as losses to the users of financial reports; several recent Studies have examined the feasibility of using various machine learning techniques in business and industrial applications. The purpose of this research is to propose a back propagation based artificial neural network model for Fraudulent Financial Reporting detection and prediction. Another main objective for this proposed model is using it in measuring the financial performance assessment by detecting the positive and negative deviations in certain important accounts balances such as net sales, and accounts receivable, which will support top managers in taking important strategic financial decisions for their companies. The proposed model was implemented using NeuronsSolution ANN software and has been applied on two large Egyptian companies managing electricity distribution in Egypt. The implementation results of this proposed model showed that the model is successful, efficient and reliable in detecting and predicting fraudulent financial reporting, and also the assessment of any company's financial performance.

Ahmed Sayed Abd El Hamid Salama

Ahmed A. Mohamed

01/01/2013

The financial failure of most commercial banks is hardly identified and detected. Machine learning techniques as Fuzzy logic (FL), Artificial Neural network (ANN), Case based reasoning (CBR) and Rule based system (RBS) are important techniques that are used in prediction and forecasting generally. This paper introduces a fuzzy logic based proposed model which can help the decision maker in commercial banks to make the right decision to determine level of financial failure in the bank. The proposed model employing financial ratios rules used in Egyptian commercial banks to measure the bank financial performance indicators i.e. capital adequacy, asset quality, liquidity, and earnings in order to determine their financial failure. The proposed model uses fuzzy logic in MATLAB to build financial ratios membership functions. In addition, the implementation of the proposed model used visual studio 2010 to build the graphical user interface for the user. The implemented system was tested on two of the Egyptian commercial banks i.e. CIB bank and CFEB bank. The mathematical equation of the defuzzification was applied to calculate financial failure in these two banks. After implementing and applying the proposed model, it was proved that the fuzzy logic technique is one of the most important machine learning techniques that can be used to detect financial failure in commercial banks and the proposed model proved that it is highly effective, scalable, and reliable in detecting the financial bank failure.

Ahmed Sayed Abd El Hamid Salama

01/01/2011

This paper presents the architecture of a web-based intelligent tutoring system that can be applied to a number of different scientific or literature courses in different domains. The proposed architecture takes the advantages of the web based systems generally and many advantages of building tutoring systems that are based on the web. The proposed web based Intelligent Tutoring System (IITS) integrates a domain knowledge base system, database system, a student model, a course model, an instructor model, and a user interface model. The proposed architecture is a multi tiered architecture and it consists of the following main components: the user interface on the client side through the web browser, a user interface manager on the web server, the student model, course model, instructor model on the application server, database management server and knowledge management system server. The proposed architecture is adopting very important concepts in educational systems including applying adaptive hypermedia in student and instructor interface, evaluating the student capabilities and adapt the teaching strategy to the student’s level, using different teaching and evaluation strategies, case based learning, and multiple tests form generator and other important concepts making this proposed system a compatible, flexible, adaptable intelligent tutoring system.

Ahmed Sayed Abd El Hamid Salama

Bahaa K. Saleh, Mohamad M. Eassa

01/01/2009

Proposing an intelligent systems for managing Cross Roads traffic systems

Ahmed Sayed Abd El Hamid Salama

Bahaa K. Saleh, Mohamad M. Eassa

01/01/2008

The aim of this research is to provide a design of an integrated intelligent system for management and controlling traffic lights based on distributed long range Photoelectric Sensors in distances prior to and after the traffic lights. The appropriate distances for sensors are chosen by the traffic management department so that they can monitor cars that are moving towards a specific traffic and then transfer this data to the intelligent software that are installed in the traffic control cabinet, which can control the traffic lights according to the measures that the sensors have read, and applying a proposed algorithm based on the total calculated relative weight of each road. Accordingly, the system will open the traffic that are overcrowded and give it a longer time larger than the given time for other traffics that their measures proved that their traffic density is less. This system can be programmed with very important criteria that enable it to take decisions for intelligent automatic control of traffic lights. Also the proposed system is designed to accept information about any emergency case through an active RFID based technology. Emergency cases such as the passing of presidents, ministries and ambulances vehicles that require immediate opening for the traffic automatically. The system has the ability to open a complete path for such emergency cases from the next traffic until reaching the target destination. (end of the path). As a result the system will guarantee the fluency of traffic for such emergency cases or for the main vital streets and paths that require the fluent traffic all the time, without affecting the fluency of traffic generally at normal streets according to the time of the day and the traffic density. Also the proposed system can be tuned to run automatically without any human intervention or can be tuned to allow human intervention at certain circumstances.

Ahmed Sayed Abd El Hamid Salama

Mohamad M. Eassa, Bahaa K. Saleh

01/01/2008

Migration of an agent involves various security problems especially in heterogeneous environment. Most of the reviewed studies for securing the mobile agent depended on one security technique. The proposed model integrates well known security techniques in four security levels: securing Mobile Agent Using Agent Factory & Blueprint, securing Mobile Agent Blueprint, securing Mobile Agent Migration Path, and securing Host. The proposed model applies a variety of security techniques including generating the blueprint of the mobile agent by the host agent factory, encrypting the generated blueprint with the digital envelope and digital signature techniques, and securing the migration path with an algorithm that will detect any malicious manipulation to the agent itself or the migration path. These stated security techniques enabled the mobile agent to travel across the heterogeneous environment and complete the migration path securely and successfully. This model will increase the security and decrease the malicious manipulation of Host, mobile agent, and the migration path.

Ahmed Sayed Abd El Hamid Salama

01/01/2006

As using the internet and the web-based applications became essential in every aspect in our social and business life especially e-commerce applications in particular. There was a strong need for introducing new software engineering concepts, techniques, and tools that are suitable for developing those web-based applications while achieving many important objectives such as cost effective development, fast adaptation to the changes of customer needs and running environment, Short time-to-market, and reliability. This paper introduces an understanding of the common categories of web applications, and characteristics of web based applications. It also discusses the major problems of web-based applications development. It proposes the web based applications development life cycle which differs slightly from the traditional application development life cycle, and recommending the most suitable development approach for web development. Also it stated important rules for successful web applications development, and showed the importance of web engineering, and web re-engineering. In addition the paper will demonstrate for web developers the effective software engineering models, techniques and methodologies that can be used in web-based applications development in order to achieve reduced complexity, short time-to-market, lower development cost and maximized reuse possibility.

Ahmed Sayed Abd El Hamid Salama