Hikmat N. Abdullah; Nuha Sh. Baker; Musab T. S. Al-Kaltakchi
Abstract
Cognitive Radio (CR) is a communication technology developed to solve theproblem of spectrum scarcity. One way to improve the throughput of CR is the use ofefficient decision rules of the fusion center to combine the collected information fromcooperative sensors and produce the right final decision. ...
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Cognitive Radio (CR) is a communication technology developed to solve theproblem of spectrum scarcity. One way to improve the throughput of CR is the use ofefficient decision rules of the fusion center to combine the collected information fromcooperative sensors and produce the right final decision. For this purpose, hard decisionrules like AND and OR and soft decision rules like Square Law Combination (SLC) andMaximum Ratio Combination (MRC) can be combined to optimize the throughputperformance. In this paper, three decision rules, each consist of two decision stages (hardand soft) are proposed to improve the throughput of CR in cooperative scenario. Thesimulation results showed that the proposed rules enhance the throughput as comparedwith traditional ones. They demonstrated that the first proposed rule enhances thethroughput by 106% and 58.9% at SNR equals -10 dB in Rayleigh fading channel over theclassical OR-SLC and the AND-SLC rules, respectively. Under the same simulationconditions, the second proposed rule enhanced the throughput by 163% and 97.5%, whilethe third proposed method enhances throughput by 210% and 135%, respectively.
Mohammed Najm Abdullah; Mohanad J. Ahmed
Abstract
The number of office transactions continually increasing ,therefore,several techniques proposed to improve quality of service for the office work.Improvements including electronic archiving limited; they didn’t solve theproblem of transferring parcels. Thus, paper transactions still exist inside ...
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The number of office transactions continually increasing ,therefore,several techniques proposed to improve quality of service for the office work.Improvements including electronic archiving limited; they didn’t solve theproblem of transferring parcels. Thus, paper transactions still exist inside asingle office building and the transfer needed within a time limit. This leads tosuggesting the autonomous vehicle for solving the delivery problem. In-order-toenable such the navigation within the indoor environment, an acceptablelocalization accuracy must exist. The wireless fingerprinting with GeneralizedRegression Neural Network (GRNN) for classification suggested in thisresearch for localization estimation. Furthermore, the estimated location fusedwith the Odometer to bring more stable results. The Accuracy gained about4.1cm which enables the vehicle to localize and navigate. ZigBee modules withArduino microcontrollers are the basic items of the research.
Hala Jamal Hadi; Salih Mahdi Al-Qaraawi
Abstract
Recently, the automatic movement of mobile robots has played a very important role inthe advancement of technology. Automated mobile robot path determination is one of the mostimportant challenges in the science of technology. This paper proposed a path planning method forwheeled mobile robots based ...
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Recently, the automatic movement of mobile robots has played a very important role inthe advancement of technology. Automated mobile robot path determination is one of the mostimportant challenges in the science of technology. This paper proposed a path planning method forwheeled mobile robots based on a real time calculation of a predefined distance on a certain map toenable the mobile robot to navigate at indoor areas according to the calculated distances and angleson the paths. The proposed system uses two wheels’ car as a prototype with two optical encoders todetermine the number of wheel’s rotations, in order to calculate the needed distances and anglesbetween two points on the navigation path. The system was controlled by a microcomputer RaspberryPi, programmed using python programming language. The experimental results show an accuratedistances and angles measurement for the navigation under a suitable condition.
Zainab H. Tawfiq; Sarah A. Adnan; Makram A. Fakhri; Rihab K. Hamad
Abstract
The impact of laser wavelength on gold nanoparticle (Au NPs) creation isaccounted by the extraction of gold atoms from the gold specimen immersed in ethanol.Pulsed Laser ablation in fluid procedure of the gold target was carried out by employingNd:YAG laser (nanosecond pulses). Characterization of accomplished ...
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The impact of laser wavelength on gold nanoparticle (Au NPs) creation isaccounted by the extraction of gold atoms from the gold specimen immersed in ethanol.Pulsed Laser ablation in fluid procedure of the gold target was carried out by employingNd:YAG laser (nanosecond pulses). Characterization of accomplished gold NPs wasachieved by Atomic Force Microscopy AFM), X-Ray Diffraction (XRD) and UltravioletVisible (UV-VIS) absorption and transmission spectroscopy. The outcomes demonstratedthe attributes of the prepared NPs, contingent upon XRD, AFM. NPs gotten by 532 nmlaser have preferred properties over that accomplished by 1064 nm laser as indicated bythe highest values of intensity of shorter wavelengths
Afrah Salman Dawood; Mohammed Najm Abdullah
Abstract
Being able to send different types of data (i.e. text, audio, or video) through thenetwork is the most important aspect of networks. Different networks have different issuesand restrictions while sending data. These restrictions are basically the QoS (Quality ofService) metrics and security. The recent ...
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Being able to send different types of data (i.e. text, audio, or video) through thenetwork is the most important aspect of networks. Different networks have different issuesand restrictions while sending data. These restrictions are basically the QoS (Quality ofService) metrics and security. The recent Software-Defined Networking (SDN) that aimsto separate the control plane from the data plane can be applied where Businessrequirements are not responsible for the way the network is configured; instead, it is theresponsibility of the high-level business policies and objectives. SDN gives preferabletechniques for centralized dynamic management and control configurations. In this work,a proposed model has been estimated and discussed to promote QoS requirements in somesuggested topologies. Adaptive Resource Management (ARM) and control to send differenttypes of data through different hosts have been investigated. The intended requirementsare basically the capacity and delay of traffic metrics sent through different hosts throughthe network. It produces a mathematical model and implementation for three proposedalgorithms to enhance the quality of a sample video sent from source host to destinationhost by Visible Light Communication (VLC)-media player in three different topologies.These algorithms (statistical, MOGA, and PSO) have been implemented using Mininetemulator, FNSS tool, PULP, and network libraries; with two types of controllers whichare Floodlight and OVS under Linux operating system and in python programminglanguage.
Essra A. Jaber; Ahmed S. Al-Araji; Hayder A. Dhahad
Abstract
This paper proposes a predictive nonlinear PID neural voltagetracking controller design for Proton Exchange Membrane Fuel Cell (PEMFC)Model with an on-line auto-tuning intelligent algorithm. The purpose of theproposed robust feedback nonlinear PID neural predictive voltage controller isto find the optimal ...
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This paper proposes a predictive nonlinear PID neural voltagetracking controller design for Proton Exchange Membrane Fuel Cell (PEMFC)Model with an on-line auto-tuning intelligent algorithm. The purpose of theproposed robust feedback nonlinear PID neural predictive voltage controller isto find the optimal value of the hydrogen partial pressure action in order tocontrol the stack terminal voltage of the (PEMFC) model for one-step-aheadprediction. The Chaotic Particle Swarm Optimization (CPSO) is utilized as astable and intelligent robust on-line auto-tuning algorithm to obtain the nearoptimal weights for the proposed controller so as to improve the performanceindex of the system as well as to minimize the energy consumption. TheSimulation results demonstrated the effectiveness of the proposed controllercompared with the linear PID neural controller
Hassan J. Hassan; Ammar Abdul-Amer R.; Hasnaa H. Abdulkareem
Abstract
Workshop contamination can lead to changes in the characteristics of the air.Welding process for example inside the workshop will generate different pollutants just likefume and gases. These gases may threat the environment. Also the direct exposure of thesegases by people inside the workshop may be ...
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Workshop contamination can lead to changes in the characteristics of the air.Welding process for example inside the workshop will generate different pollutants just likefume and gases. These gases may threat the environment. Also the direct exposure of thesegases by people inside the workshop may be considered as a risk on their health. For allreasons mentioned above air pollution monitoring system is important issue to decreasethe risk of low level of health. This paper introduces the implementation of wireless sensornetwork to monitor a workshop air pollution.The proposed system prototype contains a set of gas sensors (CO, H2, NH3, Butane,Propane, Ethanol and NO2) which are deployed on stack and infrastructure of Wirelesssensor Network. These sensors are calibrated using appropriate calibration technologies.They are controlled by ARDUINO based microcontroller. Also there is the main serverwhich Installed on raspberry pi 3 and contains the main database of the system whichsupports real time management strategies by using the web interface to monitor the airpollution in form of numbers and charts.Sensors which controlled by ARDUINO platform are connected to the server using thewireless technology (Wi-Fi) and the communication is done by using Message QueuingTelemetry Transport protocol (MQTT).When the level of Carbon Monoxide gas is abovethe threshold the system will send an alert email to the department of the civil defense.The system is checked and tested in the training workshops of University of Technology tomeasure the levels of harmful gases which may harm the people in the workshops.
