Laith A. Abdul-Rahaim

University of Babylon

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Co-Authors

Hassan Muwafaq Gheni

University of Babylon

Ameer H. Ali

Al-Furat Al-Awsat Technical University

Mohammed G. Al-Hamiri

University of Babylon

Hayder Fadhil Abdulsada

University of Babylon

Ali Shaban

Northern Arizona University

Ahmed A. Hamad

University of Babylon

Ali Najim Abdullah

University of Diyala

Musaddak Maher Abdul Zahra

Alsalam University College

Anas Abduladheem Kamil

Al-Furat Al-Awsat Technical University

Mohammed Abdulmahdi

Al-Furat Al-Awsat Technical University

Cooperative Institutions

University of Babylon

Al-Furat Al-Awsat Technical University

University of Karbala

University of Technology - Iraq

Altınbaş University

Cairo University

Nahrain University

Iraqi University

University of Baghdad

National Technical University "Kharkiv Polytechnic Institute"

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Smart Traffic System Using Infrared Sensors-based IoT

Journal of Internet Services and Information Security (2024)

Zahraa Talib Laith A. Abdul-Rahaim

One of the main problems in the intersection or cities of Iraq is that all people suffer from long waits, unexpected accidents, and environmental pollution at a time when developed cities seek to reduce it. Holy Karbala is one of the most important intersections in the middle of Iraq, it is always crowded due to the anniversary of millions of pilgrims (visitors). It was the proposed case study. Therefore, relying on cloud and Internet of Things (IoT) technologies, this study designed and implemented an intelligent traffic control network based on an intelligent programming control algorithm by utilizing sensors to improve the existing traffic network. This article presented a variety of challenges that it addressed. The results showed that a green signal takes three seconds to travel from one traffic light system to another. All five recommended scenarios were implemented, as described in the research details (TLS1, TLS2, TLS3, TLS4, and ring state) as the system is characterized by efficient response, ease of implementation, and satisfactory results with low cost (two types of microcontrollers (48 $) and infrared (IR) sensors ($3.54 per piece)) and without the difficult challenges associated with the curriculum as in the previous studies.

10.58346/jisis.2024.i3.003

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DMWTCS BASED STBC-MC-DS-CDMA in Fast-Fading Multipath Channel

Laith A. Abdul-Rahaim Salih Mohammed Salih Waleed A. Mahmoud Al‐Jawher

Wireless digital communications is rapidly expanding resulting in a demand for systems that are reliable and have a high spectral efficiency, to fulfill these demands, the Multicarrier modulation scheme, often called Orthogonal Frequency Division Multiplexing (OFDM), has drawn a lot of attention. On the other hand (CDMA) techniques have been considered to be a candidate to support multimedia services in mobile radio communications. In this work, STBC-OFDM block have been studied extensively, and proposed a new structure for STBC-OFDM that based on Multifilters called Multiwavelets using Critically-Sampled (DMWTCS), it has two or more lowpass and highpass filters, the purpose of this multiplicity is to achieve more BER performance than the conventional STBC-OFDM using FFT and DWT. The proposed STBC-OFDM systems have been examined in different channel models AWGN, flat fading and selective fading. After a study made to the STBC-OFDM systems and evaluated their BER performances with channels models. Several structures of STBC-MC-DS-CDMA systems will be studied, these structures based on FFT, DWT and DMWTCS. The simulation results are presented for a simulated AWGN, Flat fading and Selective fading channels. Index Terms —OFDM, DWT, DMWTCS, STBC, MC-DS-

Space–time block code

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Discrete wavelets transform based space time block code multicarrier direct sequence CDMA

A.A. Ali Laith A. Abdul-Rahaim

Wireless digital communications is rapidly expanding resulting in a demand for systems that are reliable and have a high spectral efficiency. To fulfill these demands, the multicarrier modulation scheme, often called Multicarrier direct sequence code division multiplexing access (MC-DS-CDMA), has drawn a lot of attention. On the other hand space time block code-MC-DS-CDMA techniques have been considered to be a candidate to support multimedia services in mobile radio communications. In this work, a new structure for STBC-MC-DS-CDMA that based on discrete wavelet transform (DWT) is proposed. The proposed system has been examined with different channel models (AWGN, flat fading and selective fading) and proves that it has better BER performance than the conventional STBC-MC-DS-CDMA using FFT due to the low and high pass filters contained in the wavelet transform.

Space–time block code

Spectral Efficiency

10.1109/ssd.2008.4632811

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Applications of artificial intelligence with cloud computing in promoting social distancing to combat COVID-19

Indonesian Journal of Electrical Engineering and Computer Science (2021)

Mohammed G. Al-Hamiri Hayder Fadhil Abdulsada Laith A. Abdul-Rahaim

The emergence of Coronavirus disease 2019 (COVID-19) disease and its rapid spread around the world has serious impacts on people's lives in addition to its effects on many aspects, including the economic and educational sectors. Researches have proved that social distance is effective in combating COVID-19. Maintaining social distance is hard to be handled by humans especially in crowded areas such as airports and campuses. So, there is a need to apply a robust and proactive design to manage this process automatically and smartly. This paper presents a design system to fight COVID-19 by maintaining the social distance with effective monitoring for suspected cases. This has been done using cloud computing and a framework including Arduino (node microcontroller unit (NodeMCU)) with several sensors. The operational aspects of this design system using cloud computing have been discussed. Generally, NodeMCU has been involved in checking the conditions, comparison processing, and communication with the webserver. Moreover, the webserver has been used for determining the maximum number of persons allowed to enter. The results state that this design system is effective in combating COVID-19 through maintaining the social distance and collecting information about suspected cases. This system is valuable, dependable, and stable since the whole process is contactless.

Social distance

10.11591/ijeecs.v24.i3.pp1550-1556

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Design Proposed Features Extraction Recognition System of Latin Handwritten Text Based on 3D-Discrete Multiwavelet Transform

American journal of electrical and electronic engineering (2015)

Laith A. Abdul-Rahaim

On-line handwriting recognition is the task of determining what letters or words are present in handwritten text. It is of significant benefit to man-machine communication and can assist in the automatic processing of handwritten documents. It is a subtask of the Optical Character Recognition (OCR), whose domain can be machine-print only.The introduced system is a character-based recognition and it is a writer independent system. The recognition responsibility of the proposed system is for 52 character classes [uppercases (A-Z) and the lowercases (a-z)]. The suggested system includes the essential stages needed for most of the pattern recognition systems. These stages are the preprocessing stage, the features extraction stage, the pattern matching and classification stage and the postprocessing stage. The proposed method employs the 3 Dimensional Multiwavelet transform 3D-DMWTCS using multiresolution image decomposition techniques working together with multiple classification methods as a powerful classifier. The classification stage is designed by using a minimum distance classifier depending on Euclidean Distance which has a high speed performance. The system design also includes a modest postprocessing stage that makes a consistency between the recognized characters within the same word in relation to their upper and lower cases.The overall classification accuracy of proposed systems can be obtained are 95.305 percent with 3D-DMWTCS based on the Rimes database.

Intelligent word recognition

Handwriting Recognition

Optical character recognition

Handwriting

Document processing

10.12691/ajeee-3-2-5

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Real-Time Driver Identification System in the Internet of Vehicles: Seamless Integration of Deep Learning and Cloud Computing

2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2024)

S. Jabbar Laith A. Abdul-Rahaim Moneer Ali Lilo

The Internet of Vehicles (IoV) represents a transformative extension of the Internet of Things (IoT), with a specific focus on revolutionizing the automotive industry. In this dynamic landscape, the importance of developing a seamless and integrated system cannot be overstated, as it plays a crucial role in enhancing operational efficiency and ensuring safety. This research introduces an innovative approach for real-time driver identification detection by harnessing the combined power of deep learning's robust classification capabilities and the virtually limitless resources offered by cloud computing. By leveraging the capabilities of Google Cloud, Thingsboard, and the real-time communication technique of pub/sub, the developed solution is tailored specifically for IoV technology, effectively managing real-time data collection, processing, prediction, and visualization while maintaining resilience against anomalies in sensor data. Additionally, this study proposes a hybrid deep learning approach that integrates LSTM and multi-head self-attention mechanisms. The proposed model is rigorously validated using two datasets, including Security and collected datasets, demonstrating its superiority over previous methods with remarkable accuracy and F1 scores of 99.7 and 99.47, respectively. By achieving precise driver identification outcomes, the proposed end-to-end IoV system holds significant potential in optimizing fleet management, enhancing vehicle security, personalizing driving experiences, enabling effective insurance and risk assessment, and ultimately contributing to road safety and efficient transportation management.

Identification

10.1109/hora61326.2024.10550840

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Electrochemical removal of brilliant green dye from wastewater

IOP Conference Series Materials Science and Engineering (2020)

Khalifah Aqeel Hayfaa A. Mubarak Joseph Amoako-Attah Laith A. Abdul-Rahaim Rafid Al Khaddar

Abstract Dyes are one of the most widely used materials in many industrial fields as coloring agents such as textile, wood, and food manufacturing. As these dyes end up in a water source, this high rate of dyes use represents one of the severe risks to the environment and health organizations. Most of the dyes are considered as highly toxic compounds and dangerous to the environment and human health as it consists of heavy metals, carcinogenic elements, oxygen – absorbing chemicals, and other toxic compounds that need to be well treated before discharge them back to environment. As a result, federal legislations have directed that all industrials that waste dyes-containing effluents to ensure a full dyes removal before discharging their effluents back to water bodies. Industries have applied many different treatment methods including physical, chemical, and biological methods in order to meet the required legislations. In recent years, many industries started to use electrocoagulation as the main treatment method. This study is focusing on using electrocoagulation (EC) method to remediate artificial colored effluents from coloring agents (brilliant green dye (BG dye) as a model). Electrocoagulation reactor, uses aluminum electrodes, was employed to remove this dye under different initial pH (40-10.0), direct currents (DC) (244-732 mA), and spaces between electrodes (SBE) (4-12 mm). According to the findings obtained, EC was highly efficient in treatment of colored effluents; 95.3% of BG dye was removed at treatment time, SBE, DC and pH of 30 minutes, 4 mm, 488 mA and 7.0, respectively.

Electrocoagulation

Brilliant green

10.1088/1757-899x/888/1/012036

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Citations (77)

M2M of Chicken Hatchery Base on Wireless Sensor Network and IOT

Journal of Engineering and Applied Sciences (2019)

Hussain Salah Hassan Laith A. Abdul-Rahaim Ali Shaban

Hatchery

Base (topology)

10.36478/jeasci.2019.10318.10324

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Design and Simulation of Proportional-Derivative Controller of A Servo Systems Based on Fuzzy Logic and Hybrid Fuzzy Neural

Journal of University of Babylon for Pure and Applied Sciences (2012)

Laith A. Abdul-Rahaim

In the past few years, fuzzy-rule-based modeling has become an active research field because of its good merits in solving complex nonlinear system identification and control problems. A servo system (SS) is a class of a nonlinear position system that needs to be positioned accurately and fastly on a commanded position. The strategy followed in this paper in designing digital controller for such system; first building a neuro-model that represents the open loop servo system. This is accomplished by sufficiently collecting input-output data and used it off-line to build the neural network that will represent the plant for the second design stage. Second design fuzzy controller through NN simulation to reach the required closed -loop behavior. The design technique is based on the adjustment of the scale factors, rule base and membership functions of the controller; it and was accomplished by fine tuning and heuristic corrections linked to the knowledge of the process to be controlled. For the specified plant, there are certain parameters, which produce a well-controlled response.

Servomechanism

Open-loop controller

Fuzzy rule

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Author Index

2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2022)

A. Al-Ajmi Burcu Keskin Intisar Al Sayed Mohd Dilshad Ansari Savas

10.1109/hora55278.2022.9799809

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