Minufiya University; Faculty of Computers and InformationIJCI. International Journal of Computers and Information1687-78532120090601A Hybrid Evolutionary Algorithm for Solving Flexible Job Shop Scheduling Problem1163393410.21608/ijci.2009.33934ENMahmoud RiadMahmoudInstitute of Statistical
Studies & ResearchMohamed SayedAli OthmanHigher Technological
Institute, Tenth of Ramadan city.Ramadan Abd ElhamedZean El-DeenInstitute of Statistical
Studies & ResearchAbd Al-azeem MohamedAbd Al-azeemInstitute of Statistical
Studies & ResearchJournal Article20090104This paper presents an Evolutionary Algorithm (EA) to solve the flexible job shop scheduling problem,<br />especially minimizing the makespan. A hybrid algorithm is introduced for solving flexible job shop scheduling problem.<br />The proposed algorithm consists of three sequential stages. The first stage is a new technique for initializing feasible<br />solutions, is used as initial population for the second stage. The second stage uses genetic algorithm to improve the<br />solutions that have been found in the first stage. The final stage uses tabu search to improve the best solution that has<br />been found by genetic algorithm. The Job Shop Scheduling Problem (JSSP) is an NP-hard combinatorial optimization<br />problem that has long challenged researchers. A schedule is a mapping of operations to time slots on the machines. The<br />makespan is the maximum completion time of the jobs. One of the objectives of the JSSP is to find a schedule that<br />minimizes the makespan. Some problems from references are solved using the proposed algorithm and an implementation study is presented. The implementation study shows the efficiency of the proposed algorithm.
Minufiya University; Faculty of Computers and InformationIJCI. International Journal of Computers and Information1687-78532120090601A Modified Algorithm for Particle Swarm Optimization with Constriction Coefficient17293393510.21608/ijci.2009.33935ENMahmoud M.El-SherbinyOperations Research Dept, Institute of Statistical Studies and Research (ISSR),
Cairo University, Egypt.Journal Article20190604This paper introduces a modified algorithm to partical swarm based optimization that significantly reduces the number of iterations required to reach good solutions and discusses the results of experimentally comparing its performance with the performance of several variants of the standard particle swarm optimizer. The variants of the modified algorithm and the most common variants of the particle swarm optimizers are tested using a set of multimodal functions commonly used as benchmark optimization problems in evolutionary computation. Results indicate that the algorithm is highly competitive and can be considered as aviable alternative to solve the optimization problems.<br /><br />Minufiya University; Faculty of Computers and InformationIJCI. International Journal of Computers and Information1687-78532120090601The ARIMA versus Artificial Neural Network Modeling30403393610.21608/ijci.2009.33936ENMotazKhorshidFaculty of Computer & Information. Cairo University, EgyptAssemTharwatFaculty of Computer & Information. Cairo
University, EgyptAmerBaderFaculty of Computer & Information. Cairo
University, EgyptAhmedOmranCentral Lab For Agricultural
Expert Systems. Agriculture
Research Center, EgyptJournal Article20190604Linear models almost reach their limitations with non-linearity in the data. This paper provides a new empirical evidence on the relative macroeconomic forecasting performance of linear and nonlinear models. The well established <br />and widely used univariate Auto-Regressive Integrated Moving Average (ARIMA) models are used as linear forecasting models whereas Artificial Neural Networks (ANN) are used as nonlinear forecasting models. The neural network paradigm that was selected for developing the proposed model is a Multi-layer Feedforward network based upon the Backpropagation training algorithm. ANN has been proven to be successful in handling nonlinear problem optimization and prediction. The forecasting models used to identify whether action is needed to alter the future, when such action should be taken by the decision maker in order to change the future of the bank or its environment to improve the bank's chance of achieving its targets. We applied the proposed model on a Financial Balance Sheet’s data of a commercial bank in Egypt. The Results show that, the proposed model (which dependent on the ANN) is more accurate than the other models, which depend on the ARIMA model with accuracy between 8 % and 10.4 %.Minufiya University; Faculty of Computers and InformationIJCI. International Journal of Computers and Information1687-78532120090601Development an Analytical Performance Models for Matrix Multiplication on Distributing Systems41523393710.21608/ijci.2009.33937ENArabiKeshkFaculty of Computer and Information Menoufia UniversityJournal Article20090104In this paper, we suggest a mechanism for implementing a distributed application using RMI based on JAVA threads. The application is parallel matrices multiplication depending on distributed the products block of rows and columns on different machines. One server and seven clients are run to find the product of matrix multiplication. The server distributes the determine blocks of rows and columns on the registered clients. The clients return their product blocks to a server, which<br />calculate the final product of matrix multiplication. Applications of this type will allow loaded servers to transfer part of the load to clients to exploit the computing power available at client side. Experimental result shows that the speed up ratio is equals 9 or the computation time of matrix multiplication with size of 2048 X 2048 is reduced by 89 % by using 7-client.<br /><br />Minufiya University; Faculty of Computers and InformationIJCI. International Journal of Computers and Information1687-78532120090601Fast Texture Synthesis And Image Completion Method53633393810.21608/ijci.2009.33938ENMohyHadhoudFaculty of Computer and Information Menoufia UniversityK.AlyInformation Technology Dept., Faculty of Computers and Information, Menoufia University, EgyptSameh Z.ShenodaInformation Technology Dept., Faculty of Computers and Information, Menoufia University, EgyptJournal Article20090104recently image restoration is an important field used extensively in artwork restoration. So in this paper,<br />we present a fast texture synthesis and image completion method of natural scenery, where the removal of a foreground<br />object creates a hole in the image. A fast and good quality resulted from the proposed method compaired with others<br />are introduced. Finally the computation time of our method is decreasing from (days, hours and minutes for compaired<br />methods) to less than one second.<br /><br />Minufiya University; Faculty of Computers and InformationIJCI. International Journal of Computers and Information1687-78532120090601Performance of Encryption Techniques for Real Time Video Streaming64703394010.21608/ijci.2009.33940ENHatemAhmedFaculty of Computer and Information Menoufia UniversityW.ElkilaniInformation Technology Dept., Faculty of Computers and Information, Menoufia University, EgyptJournal Article20090104Recently, multimedia security is becoming more important with the continuous increase of digital communications on the internet. Moreover, special and reliable security is needed in many digital applications (such as video conferencing and medical imaging systems). The classical techniques for data security are not appropriate for the current multimedia usage. As a result, we need to develop new security protocols or adapt the available security protocols to be applicable for securing the multimedia applications. Encryption of MPEG-4 video streaming using AES has not been studied. In this paper, the performance of AES in encrypting MPEG-4 video is considered. The performance of AES is compared to two symmetric encryption techniques namely; RC4 and XOR. Three data types (text, audio and video) are used to test the effectiveness of AES in encrypting MPEG-4 . Simulations showed the efficiency of the AES encryption technique in such application for the different data type given.<br /><br />Minufiya University; Faculty of Computers and InformationIJCI. International Journal of Computers and Information1687-78532120090601MODSBR: An Enhanced Methodology for Defending Byzantine Attacks on Mobile Ad Hoc Networks71893394110.21608/ijci.2009.33941ENSafaa Saad-eldinAhmedInformation Technology Dept., Faculty of Computers and Information, Menoufia University, EgyptW.ElkilaniInformation Technology Dept., Faculty of Computers and Information, Menoufia University, EgyptMohyHadhoudFaculty of Computers and Information Menoufia UniversityJournal Article20090104Byzantine attacks signify a risk to Mobile Ad Hoc Networks (MANETs). One of the efficient routing protocols used to mitigate such attacks in MANETs is the On-Demand Secure Byzantine Routing protocol (ODSBR). In this paper, we present the Modified ODSBR (MODSBR) where several enhancements for the performance and security of ODSBR are implemented. The first of these enhancements is enabling route caching in an elegant way that causes a notable decrease<br />in the routing overhead. The central clustered link weight management (CLWM) is a secure technique utilized by MODSBR to detect malicious nodes through a set of management nodes (MN). The effect of the proposed enhancements is evaluated with respect to different types of Byzantine attacks. Simulation experiments show that MODSBR outperforms ODSBR by an average 23% decrease in routing overhead and a 10 % increase in the delivery ratio for different mobility values.<br /><br />Minufiya University; Faculty of Computers and InformationIJCI. International Journal of Computers and Information1687-78532120090601Developing an Intelligent System for Medical Diagnosis89943394210.21608/ijci.2009.33942ENSamirAbd ElrazekDepartment Of Information System
Faculty of Computers & Information
Mansoura University
Mansoura , EgyptAlaa M.RiadDepartment Of Information System
Faculty of Computers & Information
Mansoura University, Mansoura , EgyptWaeilFathyDepartment Of Operation Research
Faculty of Computers & Information
El-Menoufya University
Shiben El-Kom , EgyptJournal Article20190604The clinicsoft system provides a decision support system that helps the physician to take a correct decision in diagnosis then treatment process. It is a Web based system that can help the physician in decision making through the diagnosis process, and knowledgebase user interface for reviewing and updating the knowledge. The system's features are: The importance of easy access to patient data essential for decision support, the commitment to continued measurement and revision of both the logic and the interventional strategy in a decision support application, and the role of clinical reports in supporting the decision making process.