Implementation of a Real-Time Simulator for Dynamic Systems
Hatem
Ahmed
Faculty of Computer and Information Menoufia University
author
A.
B. El-Sisi
Menoufia University,
Faculty of Computers and
Information, Computer
Science Dept., Egypt
author
K.
A. Mostafa
Menoufia University,
Faculty of Computers and
Information, Information
Technology Dept., Egypt
author
Imbaby
I. Mahmoud
Engineering Dept.,
Atomic Energy Authority,
Cairo, Egypt
author
text
article
2007
eng
Real-time systems refer to systems that have real-time requirements for interacting with a human operator or otheragents with similar timescales. An efficient simulation of real-time systems requires a model that is accurate enough toaccomplish the simulation objective and is computationally efficient. In this paper a real time modeling system for dynamic systems will be studied. Normally, Real time modeling can be classified into hardware and software systems, but this work focuses on the software techniques and systems. Finally a demonstration example for real time simulator has been simulated for complex dynamic system, namely a small nuclear fusion device (Egyptor Tokamak). The obtained results agree well with published work. Such simulator can be considered an imperative requirement for predicative control tasks.
IJCI. International Journal of Computers and Information
Minufiya University; Faculty of Computers and Information
1687-7853
1
v.
1
no.
2007
2
10
https://ijci.journals.ekb.eg/article_33725_cd2f411130069c44e5c6005ec642de37.pdf
dx.doi.org/10.21608/ijci.2007.33725
A Combined Particle Swarm Optimization Algorithm Based on the Previous Global Best and the Global Best Positions
Mahmoud
El-Sherbiny
Operations Research Dept, Institute of Statistical Studies and Research (ISSR),
Cairo University, Egypt.
author
text
article
2007
eng
This paper introduces a combined algorithm to particle swarm based optimization and discusses the results of experimentally comparing the performances of its three versions with the performance of the particle swarm optimizer. In the combined algorithm, each particle flies and is attracted toward a new position according to its previous best position and the point resulted from the combination of the previous global best position and the global best position. The variants of the combined algorithm and the particle swarm optimizer 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 a viable alternative to solve the optimization problems.
IJCI. International Journal of Computers and Information
Minufiya University; Faculty of Computers and Information
1687-7853
1
v.
1
no.
2007
11
22
https://ijci.journals.ekb.eg/article_33929_b26dcd8fe157921b83b37e4f2108b5b0.pdf
dx.doi.org/10.21608/ijci.2007.33929
Modeling of Updating Moving Object Database Using Timed Petri net Model
F.
Torkey
Prof. of Computer
Science & Engineering
and President of Kafer El-
Sheekh University, Egypt
author
Hatem
Ahmed
Faculty of Computer and Information Menoufia University
author
Nabil
Ismail
Dean of Faculty of
Computers and Information,
Menoufya University, Egypt
author
Warda
Elkholy
Information Systems Dept,
Faculty of Computers and
Information, Menoufya
University Egypt
author
text
article
2007
eng
Tracking moving objects is one of the most common requirements for many location-based applications. The location of amoving object changes continuously but the database location of the moving object cannot update continuously. Modelingof such moving object database should be considered to facilitate study of the performance and design parameters. Suchstudy is essential for selecting the optimal solution in order to minimize the implementation of the overhead cost. Locationupdating strategy for such type of database is the most important criteria. This paper proposed a timed Petri net modelbased on one of the most common updating strategies, namely the distance updating strategy. In addition, a method forestimating the time needed to update Moving Object Database (MOD) using the concept of the minimum cycle time in timed Petri nets is presented. This time is the main criterion, which can be used to study the overhead communication cost for MOD. A typical numerical example is given to demonstrate the advantages of proposed modeling technique.
IJCI. International Journal of Computers and Information
Minufiya University; Faculty of Computers and Information
1687-7853
1
v.
1
no.
2007
23
34
https://ijci.journals.ekb.eg/article_33930_eed3a0919018433a53d462122cd8dd80.pdf
dx.doi.org/10.21608/ijci.2007.33930
An Intelligent Decision Support System for Faculty Evaluation
Hegazy
Zaher
Institute of Statistical
Studies and Research
(ISSR), Cairo University,
Egypt.
author
W.
Abd El- Wahed
Faculty of computers &
Information, Shiben El-
Kom, Menoufia University,
Egypt.
author
Mahmoud
El-Sherbiny
Operations Research Dept, Institute of Statistical Studies and Research (ISSR),
Cairo University, Egypt.
author
Haidy
Matloub
Operations Research
Dept, Institute of Statistical
Studies and Research (ISSR),
Cairo University,
Egypt
author
text
article
2007
eng
This paper presents an intelligent decision support system (IDSSFPE) for faculty performance evaluation. The requirements of the faculty decision makers are identified through the analysis and the design of the IDSSFPE. Three models based of the IDSSFPE are illustrated. Such models are: i) The performance measurement model based on data envelopment analysis (DEA), ii) Number of applicants estimation model, and iii) Applicants classification model based on artificial neural network (ANN).
IJCI. International Journal of Computers and Information
Minufiya University; Faculty of Computers and Information
1687-7853
1
v.
1
no.
2007
35
49
https://ijci.journals.ekb.eg/article_33931_6c9a64d2967924202ec6612c208a9905.pdf
dx.doi.org/10.21608/ijci.2007.33931
A Hybrid Intelligent System for Arabic Handwritten Number Recognition
Reda
Hussain
Faculty of computers &
Information, Shiben El-Kom,
Menoufia University, Egypt.
author
W.
Abd El-wahed
Operations Research Dept.
Faculty of computers &
Information, Shiben El-Kom,
Menoufia University, Egypt.
author
F.
Torkey
Prof. of Computer
Science & Engineering
and President of Kafer El-
Sheekh University, Egypt
author
text
article
2007
eng
This paper shows how developments in the area of neural network combined with genetic algorithms can be used in thehandwritten digit recognition. In this work, two approaches to the design of a feed-forward neural network that model thehandwritten recognition system are discussed. The first approach focuses on constructing the network by using a trail-and error method the second approach is responsible for determining the appreciate parameters of the neural network and itslearning algorithm by the mean of genetic algorithms. Results show that using genetic algorithm for selecting the nearoptimal parameters of the neural network, is improving classification performance on handwritten digits.
IJCI. International Journal of Computers and Information
Minufiya University; Faculty of Computers and Information
1687-7853
1
v.
1
no.
2007
50
60
https://ijci.journals.ekb.eg/article_33932_838f494cd6328bc0cf5459b784e8daa3.pdf
dx.doi.org/10.21608/ijci.2007.33932