Papers by Thabit Sultan Mohammed
Indonesian Journal of Electrical Engineering and Computer Science
Adaption of hybrid electric vehicles (HEVs) and electric vehicles (EVs) is an important choice th... more Adaption of hybrid electric vehicles (HEVs) and electric vehicles (EVs) is an important choice that has many positive environmental and economic impacts, where, it helps in reducing exhaust emission, participation in dropping down the amount of noise pollution, and improving the air quality. With these encouraging impacts as well as the reduction in the price of fuel consumption, electric vehicles become at the top of car industry. A study on electric vehicles and their impact on improving the quality of environment is the main motive of this research. Selected theories and factors related to the electric vehicles’ adoption are investigated and analysed. The main factor that led to the spread of electric vehicles is the reliance on electric energy, so it is considered as zero emissions. But there is another effect, which is that these vehicles need continuous electric charging daily, which in turn needs to generate electricity, which leads to environmental pollution indirectly.
Design and development of a pico hydro turbine for small scale power generation system
PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY
Baghdad Science Journal
Healthcare professionals routinely use audio signals, generated by the human body, to help diagno... more Healthcare professionals routinely use audio signals, generated by the human body, to help diagnose disease or assess its progression. With new technologies, it is now possible to collect human-generated sounds, such as coughing. Audio-based machine learning technologies can be adopted for automatic analysis of collected data. Valuable and rich information can be obtained from the cough signal and extracting effective characteristics from a finite duration time interval that changes as a function of time. This article presents a proposed approach to the detection and diagnosis of COVID-19 through the processing of cough collected from patients suffering from the most common symptoms of this pandemic. The proposed method is based on adopting a combination of Singular Value Decomposition (SVD), and Discrete Wavelet Transform (DWT). The combination of these two signal processing techniques is gaining lots of interest in the field of speaker and speech recognition. As a cough recognitio...
Journal of the Pakistan Institute of Chemical Engineers
Physical, mechanical and multi – step chemical treatments on the adsorptivity of palm fronds ad... more Physical, mechanical and multi – step chemical treatments on the adsorptivity of palm fronds adsorbent for the removal of 5 waste metal components from wastewater was studied and estimated in this paper. Three techniques are used for palm frond to produce modified activated carbon as adsorbents. Physical treatment is represented in the furnace at 600 oC. Mechanical treatment is established more suitable surface area from 300µm2 to 500 µm2 to increase efficiency of adsorbent. Chemical treatment of palm fronds used Acetone – ethanol - methanol treated palm fronds. The fixed bed column study was achieved under multi layered fixed bed columns. It was discovered that, the adsorption of 5 metals were expressively increased in the following order: Acetone – ethanol – Methanol treated palm fronds. The highest percentage reduction of the area under the curve was represented by chemical treatment for palm fronds reached 98.74%. Derived mathematical model to describe the system and...
2019 2nd IEEE Middle East and North Africa COMMunications Conference (MENACOMM)
This document is the author's post-print version, incorporating any revisions agreed during the p... more This document is the author's post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.
Automation of Greenhouses with In-house and Remote Monitoring/Control System
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Energy, Jul 30, 2014
Driverless trains are equipped with a control system, which is programmed to make them following ... more Driverless trains are equipped with a control system, which is programmed to make them following a specific path. Stations on such a path, timings of the train and distances between stations are all predefined. Messages and warnings are automatically generated and announced to the passengers. This paper presents the development process of a prototype for a driverless train implemented using a PIC microcontroller. Simulation for the system's circuits is done with the aid of Proteus software. The hardware circuits, which are built on printed circuit boards (PCB) are interfaced with actuators and sensors for automation purposes. The hardware is assembled in a toy-like prototype train. The C programming language is used for programming the microcontroller.
개인차 변인으로서의 정서복잡성의 개념화
서울대학교 심리과학연구소, Aug 1, 1998
Corresponding Author
Abstract: The theory and application of (t-EC-AUED) codes was presented and among the methods pro... more Abstract: The theory and application of (t-EC-AUED) codes was presented and among the methods proposed in literature, the most efficient was chosen and a software was written for encoding and decoding of the codes. Comparison and evaluation of the construction techniques were carried out. A t-Error Correction (EC)/All Unidirectional Error Detection (AUED) codes are constructed by appending a single check symbol to a linear t-EC code to achieve the AUED property.
Performance Improvement and Deadlock Prevention for a Distributed Fault Diagnosis Algorithm
Abstract: This research presents an overview to the issue of fault diagnosis in distributed syste... more Abstract: This research presents an overview to the issue of fault diagnosis in distributed systems and an evaluation study to some of the algorithms proposed in literature for performing distributed fault diagnosis. One algorithm was chosen and adopted for implementation in a simulator for investigation. A strategy for improving the performance of this algorithm and preventing deadlock was proposed in this research. A measure of the improvement in performance was also presented.
Evaluating the Effect of Inheritance on the Characteristics of Object Oriented Programs 1
Abstract: This paper considers a fact that software measures, which many of them were defined man... more Abstract: This paper considers a fact that software measures, which many of them were defined many years ago, are still not widely used in software industry, and therefore some additional insights will be gained by investigating Halstead’s metrics and use them to propose more software metrics. Since the object oriented approach was considered an active technology for achieving high quality software, three metrics for evaluating the extent to which the inheritance property was invested in the object oriented programs are proposed in this paper. The first proposed metric was “the inheritance ratio ” which studies the reduction in the program volume as a result of using the inheritance property with respect to the volume of the same program when it was written as functional oriented. The second metric “the inheritance level ” points at the reduction achieved in program volume when the inheritance property was implemented in different levels. The third metric “effort ratio ” relates to ...
Speaker Identification: A Hybrid Approach Using Neural Networks and Wavelet Transform
Abstract: In speaker identification systems, a database is constructed from the speech samples of... more Abstract: In speaker identification systems, a database is constructed from the speech samples of known speakers. The approach implemented in this paper is hybrid, where the wavelet transform and neural networks are used together to form a system with improved performance. Features are extracted by applying a discrete wavelet transform (DWT), while a neural network (NN) is used for formulating the system database and for handling the task of decision making. The neural network is trained using inputs, which are the feature vectors. A criteria depends on both false acceptance ratio (FAR) and false rejection ratio (FRR) is used to evaluate the system performance. For experimenting the proposed system, a set of 25 randomly aged male and female speakers was used. Results of admitting the members of this set to a secure system were computed and presented. The evaluation criteria parameters obtained are; FAR=14.5 % and FRR=24.5% Key words: Speaker identification, speaker recognition, disc...
Fault diagnosis of distributed systems: Analysis, simulation and performance measurement
Enhanced Image Segmentation: Merging Fuzzy K-Means and Fuzzy C-Means Clustering Algorithms for Medical Applications
Computer Science and Information Technology, 2021
Computer-Supported Learning: A Teaching Aid for ECE Students
The use of computer hardware and software in education and training is a long established practic... more The use of computer hardware and software in education and training is a long established practice. In this work, an educational software is developed as a computer- supported tool to assist students' learning. Software engineering aspects are emphasized during the development, for the product to be simple and user friendly such that it can be used by all targeted students. In addition, the package is open for future expansions. Emphasis is paid to implementing solutions for issues that students face difficulties in understanding. The developed software system is provided with a database for many courses of the Electrical and Computer Engineering department. For the purpose of evaluation, number of students have used the software. Those students express a noticeable interest and benefit.
Journal of Computer Science
Coronavirus (COVID-19) started at the end of 2019 and then spread out around the world as a pande... more Coronavirus (COVID-19) started at the end of 2019 and then spread out around the world as a pandemic at the beginning of 2020. At that time, researchers began to work on detecting and diagnosing this virus, where many methods have been applied for this reason. This study focuses on how to diagnose coronavirus through patients' cough. Accordingly, real samples were taken from people infected by the coronavirus and others, who are suffering from some respiratory diseases. The cough of a person with coronavirus is characterized by its dryness and differs from other cough sounds through a set of factors that are considered for study and analysis through this study. Among these factors is the sound energy, which is found to be the most effective factor and hence implemented as a key indicator for COVID-19 detection. The discrete wavelet transform is the adopted method to realize the detection process via approximation and the analysis of coefficients details. The obtained results show acceptable detection accuracy for the considered samples. Minor mismatching in the detection process is noticed during the procedure, which is mainly due to some patients being infected with the respiratory diseases that exhibit similar symptoms.
Engineering Letters, 2015
This paper presents a new technique to reduce the peak-to-average power ratio (PAPR) in OFDM syst... more This paper presents a new technique to reduce the peak-to-average power ratio (PAPR) in OFDM system by insertion of extra semi-dummy sequence in frequency domain. The extra sequence is generated via Fourier transform of a number of the data modulated symbols. The proposed technique provides instant frequency domain process for the PAPR problem solution. For the 16PSK-OFDM system using 512 subcarrier, the new technique achieved reduction in PAPR at CCDF≤10-4 by up to 8 dB at a cost of drop in data rate by only 0.4%. With adaptive operation, the proposed PAPR technique restrains significantly the transmission power when the PAPR reduction gain is limited by 2.5 dB.
Temperature measurement and monitoring are very important for most service and industrial applica... more Temperature measurement and monitoring are very important for most service and industrial applications. This paper presents the design of a remote-controlled microcontroller-based system. A multi-sensor/ multi-actuator system is proposed and the paper illustrates the steps for the design development. System simulation and the fabrication of a hardware prototype are both presented. Design alternatives are described, and emphasization on the choice of the economical and reliable ones are justified. The IR remote control unit, used in the hardware prototype as to replace keypad for the temperature setting, is described. Keywords— Automation; microcontroller; sensors; temperature control ; thermistor.
Modified Fuzzy C-Means Clustering Algorithm Application in Medical Image Segmentation
Developing effective algorithm for segmenting image is very important in pattern recognition, med... more Developing effective algorithm for segmenting image is very important in pattern recognition, medical MRI, X-Ray images analysis and in computer vision. Fuzzy c-means (FCM) is one of the mostly used methodologies in clustering image for segmentation. However, the results of the standard and the modified version FCM are not always satisfactory. This paper introduces a spatial FCM that considers the weighted fuzzy effect of neighboring pixels on the cluster center depending on the location and intensity (kernel metric). The objective function in the FCM algorithm is modified to minimize the intensity inhomogeneities, by implicating the spatial neighborhood information and modifying the membership weighting of each cluster. The advantages of the new FCM algorithm are: (a) produces homogeneous regions more than FCM algorithm, (b) handles noisy spots, and (c) it is relatively less sensitive to noise. Experimental results on real images show that the algorithm is effective, efficient, a...
IEEE Middle East and North Africa Communication Conference (IEEE MENACOM2019)At: Manama - Bahrain, 2019
A novel algorithm for smart irrigation system adaptable for both open-field and protected agricul... more A novel algorithm for smart irrigation system adaptable for both open-field and protected agriculture based on LoRa technology is proposed in this paper. The algorithm suits a networked architecture, in which a central controller is communicating with distributed units of sensors and actuators. Communication within the system units use LoRa devices, where a LoRa is an IoT based technology providing low-power and long-range radio connectivity. Within an agricultural farm, the system can be configured such that it can suit the control of environmental conditions applicable for either an open-field and/or a protected (e.g. greenhouse) agricultures. A database has been developed and designed to comply with the system architecture. The collected data is analyzed and used by the system for automatically adjusting itself to an optimal or semioptimal performance. At the central control, the user interface offer system monitoring capability, statistics, as well as report generation.
Uploads
Papers by Thabit Sultan Mohammed