ISSN: 1811-9212

Issue 1,

Issue 1


PSO Trained Hybrid Intelligent Classifier Using Wavelet and Statistical Features for Pipeline Leak Classification

Hanan A. R. Akkar; Wael A. H.; Ibraheem H. M. Al-Dosari

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 1-9

One of the main problems in the oil industrial field is the leakage in
transporting pipelines due to its effect on human society , environment, and money loss.
Therefore, the bottleneck for most researches in this subject is to minimize false alarm rate
(FAR) for the adopted leak detection method. Although some recent methods succeed in
classifying the existence or absence of the leak as a binary classification problem. But this
paper proposed a novel leak detection technique which predicts the leak location and
estimates its size within certain pre-defined ranges. In order to simulate the environmental
conditions for real-time operating oil pipeline, accurate simulator known as OLGA
program creates the oil physical parameters. Various methods for features extraction are
considered such as statistical and wavelet techniques which are implemented to get the
features from the fluid simulated waveforms. These features are organized and fed to an
ANN classifier trained by PSO algorithm to determine the leak class out of 10 suggested
classes. The proposed leak detection technique is used to simulate 18 kilometers belonging
to Iraqi crude oil pipelines company operated in Baghdad. The achieved results of the true
positive rate (TPR) for the proposed applied method for the leak detection and
classification of different leak classes in terms of their positions and magnitudes were
about 97%.

HD-sEMG Gestures Recognition by SVM Classifier for Controlling Prosthesis

Hanadi Abbas Jaber; Mofeed Turky Rashid

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 10-19

Electromyography signals (EMG) are an important source to infer
motion intention. It has been broadly applied in human-machine interfacing to
control the neurorehabilitation devices such as prosthesis and rehabilitation
robot. HD-sEMG is a muscle's activity recorded at the delimited area of the
skin using 2D array electrode. This strategy permits the analysis of sEMG
signals in both temporal and spatial domain. Recent studies display that the
spatial distribution of HD-EMG maps improves the recognition of tasks. This
work investigates the use of HD-EMG recording to control upper limb
prosthesis. The classification of eight hand gestures of able-bodied subjects was
developed. Three feature sets were presented in this work. HOG features, time
domain features(TD) and the combination of HOG and average intensity
features (AIH). Combination of features possibly improved the performance of
the classifier. Results show that the combined of intensity features and HOG
features achieved higher performance of classifier than other features
(Acc=99.37%, P=98.375%, S=97.5%)

Evaluation of Vector-Controlled Asynchronous Machines

Nihad M. Ameen; Ammar S. Muhammed

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 20-27

In this paper vector control with variable frequency drive used to
apply speed control of a three-phase AC Asynchronous and induction machines.
The flux and torque references used to obtain the current components.
Proportional-Integral controllers are used to keeping the measured current
components at their reference values. The stator voltage references are the
output of the PI current controllers. High-performance with the smooth
operation is obtained using the proposed method. The differences can be seen in
behavior dynamic state. When the motor is rotating at full speed with a full
load,it reaches good current waveforms very easily due to the independent PI
control of torque and magnitude of flux. In high and sudden variations of the
reference input, the direct command is more efficient and less demanding for
the equipment. The expressions of the fundamental variables (speed, torque,
flux) and equivalent phase circuit of the machine will be reviewed.

Design and development of E-passport scheme using multi encryption biometric information

Israa Shaker Tawfic

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 27-34

within the next year, travelers from difference world may be holding
a new form of a passport.The electronic passport has been widespread in recent
times, all around the world, since the e-passports can save biometric
identifiers.To forbidden the illegal entry of passengers into a particular state
and stop the use of fake documents, an e-passport is used for more precise
identification of a person.The paper used the image of the e-Passport holder as
a cover image to hide the fingerprint inside it within the operation of e-Passport
design. This paper suggests also an encryption security analysis of the epassport
representing by using Arnold transform on fingerprint and add a
privet key to encrypted data that are aimed to provide more security to the
biometric information to protecting the e-passport.Our paper focuses on the
security features which are suggested to make the e-Passport safer and protect
it from unauthorized access.

Discontinuous Control Analysis for Step Down DC-DC Voltage Converters

Bashar F. Midhat

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 35-41

The DC-DC power converters have extreme importance in
contemporary applications. Moreover, the DC-DC power converters are the
ideal candidates in numerous applications such as electric and hybrid vehicles,
fuel cells and others. They have been extensively researched upon over three
decades. The control of these converters has been often implemented using
PWM techniques and based on discrete components and integrated circuits. In
this paper we propose a systematic approach for the control of step down DCDC
converters with variable input voltage based on discontinuous control
action. We demonstrate that the proposed algorithm achieves robustness to
variations of the converter load and the input voltage without additional
sensors.

Design of Control System for 4-Switch BLDC Motor Based on Sliding-Mode and Hysteresis Controllers

Mohammed Moanes Ezzaldean; Qusay S. Kadhem

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 42-51

This paper presents a design of a complete dual-loop controller for 4-switch
brushless dc motor. In low power, low-cost applications, the 4-switch inverter topology is
a felicitous alternative of the ordinary 6-switch inverter. The controller of the 4-switch
BLDC motor has to be uncomplicated and can be implemented without the use of
expensive hardware to avoid increasing the overall cost of the drive system. Furthermore,
the control must be able to deal with the known problems of the 4-switch drive which are
speed limitation and high ripple torque. The proposed controller comprises sliding mode
speed control and direct current hysteresis control. To investigate the performance of the
proposed design, the system is modeled by using Matlab/Simulink, the results are
obtained for different working conditions. The propitious results certify the applicability
of the proposed controller in low-cost 4-switch BLDC motor drive systems.

Speed Controller of Three Phase Induction Motor Using Sliding Mode Controller

Farazdaq R. Yaseen; Walaa H. Nasser

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 52-62

A Sliding Mode Control (SMC) with integral surface is employed to control
the speed of Three-Phase Induction Motor in this paper. The strategy used is a modified
field oriented control to control the IM drive system. The SMC is used to calculate the
frequency required for generating three phase voltage of Space vVector Pulse Width
Modulation (SVPWM) invertor. When the SMC is used with current controller, the
quadratic component of stator current is estimated by the controller. Instead of using
current controller, this paper proposed estimating the frequency of stator voltage
whereas the slip speed is representing a function of the quadratic current. The simulation
results of using the SMC showed that a good dynamic response can be obtained under
load disturbances as compared with the classical PI controller; the complete
mathematical model of the system is described and simulated in MATLAB/SIMULINK.

Particle Swarm Optimization Based LQ-Servo Controller for Congestion Avoidance

Sana S. Sabry; Thaker M. Nayl

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 63-70

The network congestion is an essential problem that leads to packets
losing and performance degradation. Thus, preventing congestion in the
network is very important to enhance and improve the quality of service. Active
queue management (AQM) is the solution to control congestion in TCP network
middle nodes to improve theire performance. We design a linear quadratic
(LQ)-servo controller as an AQM applied to TCP network to control congestion
and attempt to achieve high quality of service under dynamic network
environments. The LQ-servo controller is proposed to provide queue length
stabilization with a small delay and faster settling time. The designed controller
parameters are tuned by using the particle swarm optimization (PSO) method.
The PSO algorithm was fundamentally applied to find the optimal controller
parameters Q and R, such that a good output response could be obtained. The PI
controller is examined for comparison reasons. The MATLAB simulation result
shows that the controller is more effective than the PI in reaching zero steadystate
error with better congestion avoidance under the dynamic network
environment. Moreover, the proposed controller achieves a smaller delay and
faster settling time.

Routing with Energy Threshold for WSN-IoT Based on RPL Protocol

Sarah Ammar Rafea; Abdulkareem Abdulrahman Kadhim

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 71-81

Internet of Things (IoT) enables things to have connectivity through
the internet. The number of things is growing fast and has to be uniquely
identified through the Internet to communicate with other things. In Wireless
Sensor Networks (WSNs) each node can be considered as a thing. WSN node
resources are very limited due to the need to communicate using low power and
usually through unreliable links. Such limitations need an energy efficient
routing protocol. WSN is considered as a type of Low power and Lossy
Network (LLN). The routing protocol for low power and lossy network (RPL)
is being adopted for LLN and has been standardized to enable connectivity of
WSN over IoT. RPL constricted a topology similar to tree topology. Nodes in
RPL optimized its path using an objective function (OF). OF depends on
different node/link metrics in the optimization process. In this paper, an Energy
Threshold RPL (ETRPL) protocol is proposed. ETRPL depends on a new
objective function to enhance energy consumption of RPL protocol by taking
into account the remaining energy of the preferred parent node. ETRPL is
implemented using Cooja simulator. The results show that ETRPL provides an
increase in the remaining energy of at least 87.4% for a small area with high
number of nodes. ETRPL also performed better with regards to Time Delay,
Packet Reception Ratio, and the number of dead nodes in a small area. For a
large area, the performance is not encouraging. Thus the proposed ETRPL
protocol is useful for IoT networks with relatively small areas.

Smart Autonomous Wheelchair Controlled by Voice Commands-Aided by Tracking System

Farah F. Alkhalid; Bashra Kadhim Oleiwi

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 82-87

This study focuses on the design of an autonomous wheelchair based
smart driving features for disabled persons. The movement directions and
position tracking of the wheelchair are controlled and localized by pre-defined
voice commands and global positioning system (GPS), respectively. Arduino
microcontroller based on speaker dependent voice recognition module and
tracking system based on quad-board SIM808 has been used to help the
wheelchair navigation. The experimental tests of the proposed system have been
done and given satisfactory results in controlling the wheelchair and making a
call on demand. Hence the proposed system is a simple, easy to use and lowcost
hardware for designing.