Table of content

IRAQI JOURNAL OF COMPUTERS,COMMUNICATION AND CONTROL & SYSTEMS ENGINEERING

المجلة العراقية لهندسة الحاسبات والاتصالات والسيطرة والنظم

ISSN: 18119212
Publisher: University of Technology
Faculty: Control and Systems Engineering
Language: English

This journal is Open Access

About

The Iraqi Journal of Computers,Communications,Control and Systems Engineering (IJCCCE) is a quarterly engineering journal issued by the University of Technology /Baghdad ,aiming to enrich the knowledge in computer,communication and control fields .

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Contact info

IRAQI JOURNAL OF COMPUTERS,COMMUNICATION AND CONTROL & SYSTEMS ENGINEERING
University of Technology P.O.BOX. 18310
Baghdad,Iraq .
ijccce_uot@uotechnology.edu.iq
ijccce_uot@yahoo.com

Table of content: 2019 volume:19 issue:3

Article
Design Interval Type-2 Fuzzy Like (PID) Controller for Trajectory Tracking of Mobile Robot

Authors: Mustafa Y. Abbas --- Mohamed J. Mohamed
Pages: 1-15
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Abstract

One of the major problems in the field of mobile robots is the trajectory tracking problem. There are a big number of investigations for different control strategies that have been used to control the motion of the mobile robot when the nonlinear kinematic model of mobile robots was considered. The trajectory tracking control of autonomous wheeled mobile robot in a changing unstructured environment needs to take into account different types of uncertainties. Type-1 fuzzy logic sets present limitations in handling those uncertainties while type-2 fuzzy logic sets can manage these uncertainties to give a superior performance. This paper focuses on the design of interval type-2 fuzzy like proportional-integral-derivative (PID) controller for the kinematic model of mobile robot. The firefly optimization algorithm has been used to find the best values of controller’s parameters. The aim of this controller is trying to force the mobile robot tracking a pre-defined continuous path with minimum tracking error. The Matlab simulation results demonstrate the good performance and robustness of this controller. These were confirmed by the obtained values of the position tracking errors and a very smooth velocity, especially with regards to the presence of external disturbance or change in the initial position of mobile robot. Finally, in comparison with other proposed controllers, the results of nonlinear IT2FLC PID controller outperform the nonlinear PID neural controller in minimizing the MSE for all control variables and in the robustness measure.


Article
Comparative Study of Partitioned Stator Permanent Magnet Tubular Machines with Different Winding Configurations

Authors: Ahlam Luaibi Shuraiji --- Z.Q. Zhu
Pages: 16-26
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Abstract

In this study, partitioned stator permanent magnet (PS-PM) tubular machines having single- and double-layer windings layouts have been investigated. Two configurations of PS-PM tubular machines were considered, i.e. partitioned stator surface mounted permanent magnet (PS-SPM) and interior permanent magnet (PS-IPM) tubular machines. A comprehensive comparison has been carried out in order to investigate the impact of the winding layouts on such machines. It should be mentioned that the FE package that is used in this paper is (ANSYS Maxwell). It has been noted that irrespective of machines configurations, i.e. either PS-SPM or PS-IPM tubular machines, similar thrust force capability, higher average thrust force per magnet volume, lower thrust force ripple as well as cogging force and higher fault tolerance capability can be delivered by PS-PM tubular machines with single-layer winding compared to that with double-layer winding.


Article
Efficient Control System Based on Hand Nerve Signals

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Abstract

Recent advances in the control applications based on hand nerve signals are able to meet the needs of users who suffer from restrictions in limb movement and also provide high performance control for those paralyzed people. These signals are represented as Electromyography (EMG) signals, which are biomedical ones, used for clinical/biomedical applications. In this work, a control signals generation system is proposed based on hand EMG measurements. The process of acquisition and processing of EMG signals is performed by only one channel surface EMG electrodes with one EMG processing unit as a muscle sensor. In this work, Arduino UNO is adopted as an analog to digital converter for these hand nerve signals to be easily analyzed in the classification process. These signals are measured from the skin surface of forearm and biceps muscles in two suggested case studies to be used in generating signals based on ten muscles movements. The main features that crystallized this research is building a smart control algorithm which increases the flexibility of generating precise control signals based on contracted hand movements with high simplicity of use and the low cost. The obtained results are compared to other systems results to show the ability of achieving 93.81% classification rate or accuracy among other systems.


Article
Indoor Localization Using Deep-Learning and Smartphone

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Abstract

Robust and accurate indoor localization has been the goal of several research efforts over the past decade. In the building where the GPS is not available, this project can be utilized. Indoor localization based on image matching techniques related to deep learning was achieved in a hard environment. So, if it wanted to raise the precision of indoor classification, the number of image dataset of the indoor environment should be as large as possible to satisfy and cover the underlying area. In this work, a smartphone camera is used to build the image-based dataset of the investigated building. In addition, captured images in real time are taken to be processed with the proposed model as a test set. The proposed indoor localization includes two phases the first one is the offline learning phase and the second phase is the online processing phase. In the offline learning phase, here we propose a convolutional neural network (CNN) model that sequences the features of image data from some classis's dataset composed with a smartphone camera. In the online processing phase, an image is taken by the camera of a smartphone in real–time to be tested by the proposed model. The obtained results of the prediction can appoint the expected indoor location. The proposed system has been tested over various experiments and the obtained experimental results show that the accuracy of the prediction is almost 98.0%.


Article
Face Recognition Based on Viola-Jones Face Detection Method and Local Binary Pattern (LBP)

Authors: Suhad Ibrahim Mohammed
Pages: 50-55
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Abstract

in this paper, the system consists of many steps, the first step includes the histogram equalization, detection, feature extraction, and classification. At first, the data set of a face image is segmented into four segments, after that Local Binary Pattern (LBP) algorithm is performed to extract features for each segment. The best feature vectors for all persons are stored in a new dataset in the next stage in order to be used in the testing phase. Finally, the accuracy rate of performance is evaluated to prove its robustness. Experiments show satisfying results and more accuracy achieved by the paper.


Article
Design and Implementation of e-Shopping System Using QR Code and Smart Mobile Phone

Authors: Basma Ahmed --- Dr. Salih Al-Qaraawi
Pages: 56-64
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Abstract

This paper presents a system that is used in one of the most important fields in our daily life, shopping and entertainment. The system exploits a mobile application, Quick Response (QR) code technique and network system. The QR tag is attached to each item in the market, while the mobile application can be installed in the Smart Phone. The smart phone is used to scan the attached QR tag and send the result to a network system and the network system will process the received data. A brief information will be brought from the local server database. However, if the customer is interested in more details, the network system brings these details from the main server and applies them on the smart phone screen. When the customer decides to buy the item, s/he can add it to the shopping list, then the system updates the bill, sends it back to the customer and to the cashier at the same time. The items will be prepared at the checkout point after payment. This system was designed, implemented, and tested practically so that the performance of that system is achieved for two main points: quick attainment of information and network congestion avoidance.


Article
Assessment of Optimal Bragg Grating Length for Optical performance using Two Apodization Functions

Authors: Dr. Jabbar Kh. Mohammed
Pages: 65-72
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Abstract

Fiber Bragg gratings (FBGs) are one of the most effective technologies because of their suitability in many applications of the fiber techniques. Moreover, it can be utilized in sensing elements and estimating the physical parameters of the optical fiber. In the current research, various fiber bragg lengths are considered and a comparative investagtion is made for the performance of the refractive index modulation at two different apodization profiles namely: Gaussian index profiles and uniform index profiles. Also, a comparative study of the optical communication system performance has been carried out of refractive indexes with two apodization functions. A comprehensive comparison in terms of gain, noise figure, OSNR, quality factor, bit error rate and power has been performed where the performance of the optical system is studied under various optical channel lengths (from 25 km to 100 km) with various FBG lengths, which are ranged from 4 mm to 14 mm in both apodization profiles, i.e. uniform profile and Gaussian profile. In order to carry out the simulation of the performance RZ, the optisystem version 9 is used for single channel based on over single mode fiber. The results showed that the maximum Q.F. as the performance parameter is obtained at the FBG length of 8 mm at all optical lengths. Moreover, the varation effect of optical fiber channel length was greater than the varation effect of refractive index for all the studied parameters (gain, noise figure, OSNR, quality factor, BER, and power) for two apodization functions.

Table of content: volume:19 issue:3