Kafrelsheikh University, Faculty of Computers and Information
Kafrelsheikh Journal of Information Sciences
2537-0677
2535-1478
1
1
2018
07
04
A Survey of Intelligent Transportation Systems
1
6
EN
Woroud
Alothman
Engineering, Mechanical, University of Bahrain, Bahrain.
woroudalothman@gmail.com
10.21608/kjis.2018.2741.1000
The problem of traffic delay and congestion of services and products is a very serious problem in the world due to the population growth and difficulties in changing the infrastructure. This issue is being studied by researchers and international traffic centers because of the delay in services and products and negative economic effect that traffic problem causes. It is difficult to improve the traffic system performance by using the traditional control methods. Many studies had been conducted using the fuzzy logic system and neural network to control the road intersections. In this article, the artificial intelligence traffic control principles and approaches which applied in the traffic signal control will be reviewed. Some points of view about future research in this area are proposed. The review shows that the traffic performance of the fuzzy controller has better performance than traditional traffic signal controls, specifically during heavy and uneven traffic volume conditions.
artificial intelligence,Fuzzy Logic,Intelligent Transportation Systems,Neural Networks,Traffic Control Systems
https://kjis.journals.ekb.eg/article_8647.html
https://kjis.journals.ekb.eg/article_8647_6046681496f3ea96bdaa33c88bb6f2f0.pdf
Kafrelsheikh University, Faculty of Computers and Information
Kafrelsheikh Journal of Information Sciences
2537-0677
2535-1478
1
1
2018
01
01
Autonomous Quadrotor Delivery System Modeling and Simulation
7
14
EN
A.M.
El-Edkawy
Computer Science Department, Faculty of Computers and Information, Mansoura University, Egypt
amr.eledkawy@mans.edu.eg
M.A.
El-Dosuky
Mansoura University, Faculty of Computers and Information, Mansoura, 35516, Dakahlia, Egypt
mouh_sal_010@mans.edu.eg
10.21608/kjis.2018.3073.1002
A quadrotor is a rotary-wing Unmanned Aerial Vehicle (UAV) that has four rotors. The quadrotor control and autonomy is a challenging task as the quadrotor system is considered underactuated system. The aim of this paper is to present the specification and the implementation of an autonomous quadrotor delivery system that fuses data from camera and IMU (Inertial Measurement Unit) to allow for high precision visual-inertial navigation. In this paper, an autonomous quadrotor delivery system is proposed. The specification of the system is proposed. The implementation of the system introduced SolidWorks design for the system, mathematical modelling for the pickup and delivery problem (PDP). Simulation results using MATLB have been shown for the implementation of the model, control system and the simultaneous localization and mapping (SLAM) using Extended Kalman Filter algorithm (EKF-SLAM) used for making the system autonomous. Experimental results for the use of canny edge detection algorithm have been shown.
UAV,PDP,PID controller, SLAM,Canny Edge Detection
https://kjis.journals.ekb.eg/article_8649.html
https://kjis.journals.ekb.eg/article_8649_49210b54fb427e7d33fdba1794c80a71.pdf
Kafrelsheikh University, Faculty of Computers and Information
Kafrelsheikh Journal of Information Sciences
2537-0677
2535-1478
1
1
2018
01
01
Intelligent Traffic Control System for Over-Saturated Signalized Intersections in Kuwait..
15
20
EN
Woroud
Alothman
Engineering, Mechanical, University of Bahrain, Bahrain.
woroudalothman@gmail.com
10.21608/kjis.2018.3240.1003
This paper proposes a new intelligent traffic control (ITC) system which is more efficient than the traffic control system currently used in the state of Kuwait. The proposed ITC system is designed as a dynamic system by using a fuzzy expert system; the fuzzy rules are applied in the visual basic and computer-based program (Excel) to run the validation process. The developed control system applied on five intersections in the grid network at four periods. The results show that the number of vehicles passing the intersection phases is increased in most phases by an average of 12.9% at the first period, 23.3% at the second period, 10.4% at the third period and by 21.2% at the fourth period. For the same periods, the phases green time is increased by an average of 9.1%, 5.8%, 9.9% and 6.3%. And the number of intersection cycles remains constant at the most time which means that the developed control system distributes the phases green time dynamically based on the traffic situation.
artificial intelligence,Fuzzy Logic,Intelligent Transportation Systems,Neural Networks,Traffic Control Systems
https://kjis.journals.ekb.eg/article_8650.html
https://kjis.journals.ekb.eg/article_8650_b0cb657dc7de2890929bc3fae54d653d.pdf
Kafrelsheikh University, Faculty of Computers and Information
Kafrelsheikh Journal of Information Sciences
2537-0677
2535-1478
1
1
2018
01
01
A proposed Framework for Software Process Improvement: Extending CMMI-DEV model Using Six Sigma and Quality Function Deployment Techniques
21
32
EN
Editor
KJIS
Information Systems, Faculty of Computers and Informatics, Zagazig University, Egypt
kjiscomputers@gmail.com
10.21608/kjis.2018.4271.1004
Software Process Improvement (SPI) has become the key to the survival of many software development organizations. Many international SPI models/standards, such as; ISO, Capability Maturity Model Integrated (CMMI), SPICE, Trillium…etc, are developed for SPI. Numerous software development companies have chosen to utilize CMMI to access and improve their current software development process, because CMMI is one of the most widespread and acknowledged SPI models. Unfortunately, CMMI does not provide a systematic way of determining how to improve the process. That is, CMMI defines "what to do" but leaving "how to do it" to organizations. Thus, it is desirable to have a means to guide the companies in the development of action plans and appropriate tools for SPI. These actions should be based on the software process requirements from relevant sources. Therefore, this research proposes a SPI-CMMI framework that provides an overall process improvement strategy to be implemented in any software development organization more effectively and comprehensively. The proposed model based on applying assessment and improvement procedures through adopting the CMMI-DEV 1.3 model using six sigma approach and Quality Function Deployment (QFD) technique.
CMMI-DEV model,quality function deployment,Six Sigma,Software Process Assessment,Software Process Improvement
https://kjis.journals.ekb.eg/article_8652.html
https://kjis.journals.ekb.eg/article_8652_150a7bd939fdf9f8897c171a3fb38bcb.pdf