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Improving The Properties Of A Polyester-Based Composite Using Nanoparticle Fillers, Zainab Younus, Laith Abbas, Abbas Hussein Jul 2026

Improving The Properties Of A Polyester-Based Composite Using Nanoparticle Fillers, Zainab Younus, Laith Abbas, Abbas Hussein

Engineering and Technology Journal

In this work, unsaturated polyester, resin, matrix reinforced, with fiberglass mat chopped were developed using TiO2 and SiO2 Nanoparticles as filler materials. The individual and combined effects of nanoparticles on the nanocomposite and material properties were examined. An improvement in Young’s modulus (39,3%) using combined weight of TiO2+ SiO2 was observed to be 3%. Examined nanoparticles have shown normal distribution in grain size indicated to be within standard limit, therefore boosting nanocomposite material to have excellent hardness, roughness, impact, and flexural resistance. DSC was characterized by transitions in this material. SEM and EDS techniques were used to confirm the formation …


Evaluation Of The Microstructure And Mechanical Properties Of Al / Fe3o4 Nanocomposites, Suaad Jiaad, Khansaa Salman, Ahmed Hussein Jul 2026

Evaluation Of The Microstructure And Mechanical Properties Of Al / Fe3o4 Nanocomposites, Suaad Jiaad, Khansaa Salman, Ahmed Hussein

Engineering and Technology Journal

The goal of this research is to study the microstructural analysis and mechanical properties of an aluminum matrix reinforced with different amounts of nano Fe3O4 at (2, 4, 6, 8, and 10wt. %). Al/ Fe3O4 nanocomposites specimens were prepared using the powder metallurgy route. Many examinations, including Field Emission Scanning Electron Microscopy (FESEM) and X-Ray Diffraction (XRD) analysis, were performed on the specimens in this study to determine the microstructure and phases of the nanocomposites. Mechanical tests, such as compressive, microhardness, and wear tests, were also performed to assess the mechanical properties of the nanocomposites. The results of this study …


Optimization Of Automatic Generation Control And Economic Load Dispatch For Two Area Six Unit Interconnected Power System, Faeq Zwayyer, Afaneen Abbood, Jasim Hussein Jul 2026

Optimization Of Automatic Generation Control And Economic Load Dispatch For Two Area Six Unit Interconnected Power System, Faeq Zwayyer, Afaneen Abbood, Jasim Hussein

Engineering and Technology Journal

This paper proposes an integrated Economic Load Dispatch (ELD) and Automatic Generation Control (AGC) for interconnected power systems. Based on their participation factor determined from the economic load dispatch calculation, each unit shares the total change in the same control region. In this study, two control areas are considered. Three thermal units are located in each control area. An integral controller (I) is only used for the AGC mechanism's secondary controller and is used for the primary controller for the ELD mechanism. An Improved Grey Wolf Optimizer (IGWO) technique is used to evaluate the optimum parameters of the integral controllers …


Detection Of Covid-19 Based On Chest Medical Imaging And Artificial Intelligence Techniques, Nawres Alwash, Hussain Kareem Jul 2026

Detection Of Covid-19 Based On Chest Medical Imaging And Artificial Intelligence Techniques, Nawres Alwash, Hussain Kareem

Engineering and Technology Journal

The emergence of COVID-19 disease in the world has moved the wheel of scientific research in order to detect it in the best method, and the fastest of these methods is the use of Artificial Intelligence (AI) techniques to help medical professionals detect COVID-19. The proposed topic is aim to develop algorithm based on combination between imageprocessing techniques with artificial intelligence to diagnose COVID-19. The proposed algorithm consists of five stages to detect and classify COVID-19 from Computer Tomography (CT) images. These stages include; The first of these stages is to collect data from hospitals as real data and from …


Visual Performance Of Refractive Intraocular Lenses Within The Human Eye, Israa Ahmed, Ali Al-Hamdani Jul 2026

Visual Performance Of Refractive Intraocular Lenses Within The Human Eye, Israa Ahmed, Ali Al-Hamdani

Engineering and Technology Journal

The most effective treatment for cataracts is to remove the cloudy crystalline natural lens and implant an intraocular lens (IOL) in its place. These refractive (IOL) provide the same focusing as do the natural lens. Two refractive IOLs are designed and analyzed in this paper—these IOL are made of (PMMA, and Acrylic). The quality of the retinal image is analyzed and compared with the healthy eye, which is based on the (Liou-Brennan) eye model) LBEM). Polychromatic Point Spread Function (PSF), Modulation Transfer Function (MTF), spot diagram, Encircled Energy (EE), and monochromatic aberration are used as acceptable criteria within the Zemax …


A Visual Enhancement Quality Of Digital Medical Image Based On Bat Optimization, Kholood Hussin, Ali Nahar, Hussain Khleaf Jul 2026

A Visual Enhancement Quality Of Digital Medical Image Based On Bat Optimization, Kholood Hussin, Ali Nahar, Hussain Khleaf

Engineering and Technology Journal

Improve medical image visualization is a critical preliminary step before further imagery processing like analyzing texture, extracting features, and segmentation. Imagery noises in medical images are frequently occurred as a consequence of different artificial processes such as acquisition, sending and receiving, and storing & retrieving processes. As a result, the quality of image visualization is degraded. Therefore, a de-noise process is important in order to maintain good image quality for medical purposes. In this paper, medical image enhancement aims to de-noise as much as possible while maintaining detailed features and edges. This work employed an optimization algorithm called "Bat" to …


Enhancement Of An Iraqi Radial Distribution System Performance Using Multi-Object Particle Swarm Optimization, Hazim Alwazni, Shatha Al-Kubragyi Jul 2026

Enhancement Of An Iraqi Radial Distribution System Performance Using Multi-Object Particle Swarm Optimization, Hazim Alwazni, Shatha Al-Kubragyi

Engineering and Technology Journal

This paper proposes a Multi Object Particle Swarm Optimization (MOPSO) to find the optimal location and capacity of Distributed Generation and D-STATCOM device. The objective function has adapted with a multi -objectives function to improve voltage profile, the voltage stability and reduce the total power loss of the Radial Distribution System (RDS). Basically, the voltage stability index (VSI) has been used to pre-determine the optimal location of DG and D-STATCOM. Then, a MOPSO applies to achieve the suitable size of DG and D-STATCOM units with different load models. The proposed method is compared with other existing methods and it was …


Reducing Vibrations Generated In A Gas Turbine Model Ms9001e Used In South Baghdad Power Plant Station By Improving The Design Of Bearings With Damper, Alaa Abdulah, Muhannad Khalifa, Abdul Jabbar Hanfesh Jul 2026

Reducing Vibrations Generated In A Gas Turbine Model Ms9001e Used In South Baghdad Power Plant Station By Improving The Design Of Bearings With Damper, Alaa Abdulah, Muhannad Khalifa, Abdul Jabbar Hanfesh

Engineering and Technology Journal

Gas turbines are engines an energy plant makes use of for generating the rotary motion to show power generators. The gas turbine is largely a combustion engine for changing natural gas or different liquid fuels to rotational mechanical energy. Often, the gas turbine generates excessive noise or vibrations. In this work, the problem of vibrations occurrence in the gas turbine model MS9001E used in the south Baghdad power station is solved. This is done by making a groove in the bearing pad to increase the oil flow, replacing the bearing type with a tilt-pad bearing type with damper. The finite …


Distinguish The Textures Of Grasped Objects By Robotic Hand Using Artificial Neural-Network, Hassan Salman, Mohsin Hamzah, Sadeq Bakhy Jul 2026

Distinguish The Textures Of Grasped Objects By Robotic Hand Using Artificial Neural-Network, Hassan Salman, Mohsin Hamzah, Sadeq Bakhy

Engineering and Technology Journal

The object identification properties with tactile sensing are valuable in  interaction with the environment for both humans and robots, and it is the core of sensing used for exploration and determining properties of objects that are inaccessible from visual perception. Object identification often involves with rigid mechanical grippers, tactile information and intelligent algorithms. This paper proposes a methodology for feature extraction techniques and discriminates objects for different softness using adaptive robotic grippers, which are equipped with force and angle sensors in each four fingers of an underactuated robot hand. Arduino microcontroller and the Matlab program are integrated to acquire sensor …


Hot Spot Analysis Of Photovoltaic Module Under Partial Shading Conditions By Using Ir-Imaging Technology, Ali. Numan, Hashim Hussein, Zahraa Dawood Jul 2026

Hot Spot Analysis Of Photovoltaic Module Under Partial Shading Conditions By Using Ir-Imaging Technology, Ali. Numan, Hashim Hussein, Zahraa Dawood

Engineering and Technology Journal

The probable appearance of localized overheating (hot spot) represents one of the main matters for the reliability and safety of c-Si cells. It entails both a risk for the photovoltaic module's lifetime and a decrease in its operational efficiency. Partial shading is the most common cause of a hot spot in a PV system. The main aim of this work is to analyze the hotspot phenomena by I-V curve as well as IR thermography and investigate the impact of partial shading on the hottest cell experimentally to find its effect on the output power. The results show that at normal …


A Survey In Implementation And Applications Of Electroencephalograph (Eeg)-Based Brain-Computer Interface, Samaa Abdulwahab, Hussain Khleaf, Manal Jasim Jul 2026

A Survey In Implementation And Applications Of Electroencephalograph (Eeg)-Based Brain-Computer Interface, Samaa Abdulwahab, Hussain Khleaf, Manal Jasim

Engineering and Technology Journal

A Brain-Computer Interface (BCI) is an external system that controls activities and processes in the physical world based on brain signals. In Passive BCI, artificial signals are automatically generated by a computer program without any input from nerves in the body. This is useful for individuals with mobility issues. Traditional BCI has been dependent only on recording brain signals with Electroencephalograph (EEG) and has used a rule-based translation algorithm to generate control commands. These systems have developed very accurate translation systems. This paper is about the different methods for adapting the signals from the brain. It has been mentioned that …


Intrusion Detection System For Nsl-Kdd Dataset Based On Deep Learning And Recursive Feature Elimination, Bilal Mohammed, Ekhlas Gbashi Jul 2026

Intrusion Detection System For Nsl-Kdd Dataset Based On Deep Learning And Recursive Feature Elimination, Bilal Mohammed, Ekhlas Gbashi

Engineering and Technology Journal

Intrusion detection system is responsible for monitoring the systems and detect attacks, whether on (host or on a network) and identifying attacks that could come to the system and cause damage to them, that’s mean an IDS prevents unauthorized access to systems by giving an alert to the administrator before causing any serious harm. As a reasonable supplement of the firewall, intrusion detection technology can assist systems to deal with offensive, the Intrusions Detection Systems (IDSs) suffers from high false positive which leads to highly bad accuracy rate. So this work is suggested to implement (IDS) by using a Recursive …


Wheelchair Movement Based On Convolution Neural Network, Maisaa Kodher, Jammila Saud, Hani Hassan Jul 2026

Wheelchair Movement Based On Convolution Neural Network, Maisaa Kodher, Jammila Saud, Hani Hassan

Engineering and Technology Journal

This paper intends to develop a methodology for helping amputees and crippled people old, by ongoing voice direction and association between patient and personal computer (PC) where these blends offer a promising response for helping the debilitated people. The major objective of this work is accurately detected audio orders via a microphone of an English language (go, stop, right and left) in a noisy environment by the proposed system. Thus, a patient that utilizes the proposed system can be controlling a wheelchair movement. The venture depends on preparing an off-line dataset of audio files are included 10000 orders and background …


Outdoor Localization In Mobile Robot With 3d Lidar Based On Principal Component Analysis And K-Nearest Neighbors Algorithm, Hanan Atiyah, Mohammed Y. Jul 2026

Outdoor Localization In Mobile Robot With 3d Lidar Based On Principal Component Analysis And K-Nearest Neighbors Algorithm, Hanan Atiyah, Mohammed Y.

Engineering and Technology Journal

Localization is one of the potential challenges for a mobile robot. Due to the inaccuracy of GPS systems in determining the location of the moving robot alongside weathering effects on sensors such as RGBs (e.g. rain and light-sensitivity(. This paper aims to improve the localization of mobile robots by combining the 3D LiDAR data with RGB-D images using deep learning algorithms. The proposed approach is to design an outdoor localization system. It is divided into three stages. The first stage is the training stage where 3D LiDAR scans the city and then reduces the dimensions of 3D LiDAR data to …


Quadratic Support Vector Machine And K-Nearest Neighbor Based Robust Sensor Fault Detection And Isolation, Ahmed Abed, Sabah Gitaffa, Abbas Issa Jul 2026

Quadratic Support Vector Machine And K-Nearest Neighbor Based Robust Sensor Fault Detection And Isolation, Ahmed Abed, Sabah Gitaffa, Abbas Issa

Engineering and Technology Journal

Fault detection plays a serious role in high-cost and safety-critical processes. There are two main drivers for continuous improvement in the area of early detection of process faults safety and reliability of technical plants. Detect fault in Geophone string sensors (SG-10) are very important in oil exploration to avoid loss economy. Methods are developed to enable earlier detection of process faults than the traditional limit and trend checking based on a single process variable and the development of these methods is a key matter. Classification methods will be used for pattern recognition and as such is appropriate for fault detection. …


A Review On Path Planning Algorithms For Mobile Robots, Mustafa Abed, Omar Lutfy, Qusay Al-Doori Jul 2026

A Review On Path Planning Algorithms For Mobile Robots, Mustafa Abed, Omar Lutfy, Qusay Al-Doori

Engineering and Technology Journal

Mobile robots use is rising every day. Path planning algorithms are needed to make a traveler of robots with the least cost and without collisions. Many techniques have been developed in path planning for mobile robot worldwide, however, the most commonly used techniques are presented here for further study. This essay aims to review various path planning strategies for mobile robots using different optimization methods taken recent publisher’s paper in last five year.


Protection Coordination Of 33/11 Kv Power Distribution Substation In Iraq, Thamir Abdul-Wahhab, Yamur Obied Jul 2026

Protection Coordination Of 33/11 Kv Power Distribution Substation In Iraq, Thamir Abdul-Wahhab, Yamur Obied

Engineering and Technology Journal

The coordination between protective devices is the process of determining the most appropriate timing of power interruption during abnormal conditions in the power system. The aim of this work is to coordinate the protection of the 33/11 kV power distribution substation in Iraq using the CYME 7.1 software package. In this paper overcurrent and earth fault relays are simulated in two cases, with time delay setting and instantaneous setting, to obtain the Time Current Characteristics (TCC) curves for each Circuit Breaker (CB) relay of Al-Karama substation (2×31.5 MVA, 33/11 kV) in Babil distribution network. The short circuit current at each …


A New Method Using Naive Bayes And Rgbd Facial Identification Based On Extracted Features From Image Pixels, Wisam H. Ali Jul 2026

A New Method Using Naive Bayes And Rgbd Facial Identification Based On Extracted Features From Image Pixels, Wisam H. Ali

Engineering and Technology Journal

Nowadays, life seems to have been resilient, particularly for those with physical disabilities. Recognition of AV letters is one of the critical and famously the difficult structures. This research has been developed based on the potential of the features in some applications than the statistical properties. While, these features have been resolved the lip movement for AV letters recognition, Naive Bayesian and Red green blue and depth RGBD have been adopted for visual letter identification. Naive Bayesian has 73.33% for usual recognition with three letters, each with ten frames, while RGBD classifier is 100%. Within that for this case, two …


Design, Fabrication, And Testing Of An Electromechanical High-Temperature Tensile Test Machine, Taif Y. Ghadhban, Hussain J.M Al-Alkawi, Ahmed H. Reja Jul 2026

Design, Fabrication, And Testing Of An Electromechanical High-Temperature Tensile Test Machine, Taif Y. Ghadhban, Hussain J.M Al-Alkawi, Ahmed H. Reja

Engineering and Technology Journal

The following paper presents a developed design and manufacturing of a servo-driven Electromechanical high-temperature tensile machine with an integrated environmental chamber. The maximum load capacity is set to be 20 kn with the possibility of future upgrades. The machine is automated by a computerized system that controls the entire operation of the designed machine. It is designed to be capable for testing a variety of materials at various temperatures ranging from room temperature up to 500℃. The machine was fully controlled using automated software to control the entire operation and to provide users with a certified test report. The main …


Slope Stability Analysis Of Haditha Dam After Earthquake Using Geo-Studio Software, Mohammed K. Malik, Ibtisam R. Karim Jul 2026

Slope Stability Analysis Of Haditha Dam After Earthquake Using Geo-Studio Software, Mohammed K. Malik, Ibtisam R. Karim

Engineering and Technology Journal

The current study is designed to analyze theslope stability of Haditha damwhich is an earth-fill dam constructed on the Euphrates River in the middle-west of Iraq. Finite element modeling was used in the present study to analyze the combined seepage and post-earthquake slope stability of Haditha earth dam. The maximum water level of a steady seepage case was considered to evaluate seepage. - Three different water levels (maximum, normal, and minimum) were applied, and nine different equilibrium slope stability limits were used to analyze the upstream and downstream slopes of the dam with three horizontal maximum accelerations.The input data given …


Hybrid Pso-Rbfnn And Proposed Algorithms Of Dddwt For The Heart Disease Classification, Ansam S. Jabbar Jul 2026

Hybrid Pso-Rbfnn And Proposed Algorithms Of Dddwt For The Heart Disease Classification, Ansam S. Jabbar

Engineering and Technology Journal

This paper introduced a Particle Swarm Optimization-Radial Basis Function Neural Networks (PSO-RBFNN)-based system for heart disease detection that used the PSO algorithm to optimize RBFNN parameters. The newly developed signal digital algorithm presents the results of a new image contrast enhancement approach using Double Density Discrete Wavelet transform DDDWT for extraction of features, using adaptive DDDWT for the elimination of noise, and the use of PSO and ANN methods to classify the output from the Electrocardiogram (EGGS). It also provides identification of all techniques and MATLAB codes used to improve the processes.This approach merged the global search power of the …


Intelligent Controller Design Based On Wind-Solar System, Areeg F. Hussein, Hanan A. R. Akkar Jul 2026

Intelligent Controller Design Based On Wind-Solar System, Areeg F. Hussein, Hanan A. R. Akkar

Engineering and Technology Journal

This paper presents an Intelligent controller designed to mastery the output power flow from the Solar System, the Wind system, the sum of the two systems or from the battery system, according to the Maximum power point tracking algorithm, to ensure the continuity of the output power at fast time response. The proposed controller has been designed using MATLAB m-file and trained with the different number of hidden neurons using two different algorithms to get as fast a response time with minimum Mean Square Error (MSE) as possible which resulted in six hidden neurons using Levenberg-Marquardt training algorithms.


Pattern Recognition Of Composite Motions Based On Emg Signal Via Machine Learning, Noof T. Mahmooda, Mahmuod H. Al-Muifraje, Sameer K. Salih, Thamir R. Saeed Jul 2026

Pattern Recognition Of Composite Motions Based On Emg Signal Via Machine Learning, Noof T. Mahmooda, Mahmuod H. Al-Muifraje, Sameer K. Salih, Thamir R. Saeed

Engineering and Technology Journal

In the past few years, physical therapy plays a crucial role during rehabilitation. Numerous efforts are made to demonstrate the effectiveness of medical/ clinical and human-machine interface (HMI) applications. One of the most common control methods is using electromyography (EMG) signals generated by muscle contractions to implement the prosthetic human body parts. This paper presents an EMG signal classification system based on the EMG signal. The data is collected from biceps and triceps muscles for six different motions, i.e., bowing, clapping, handshaking, hugging, jumping, and running using a Myo armband with eight electromyography sensors. The Root Mean Square, Difference Absolute …


Smart Door For Handicapped People Via Face Recognition And Voice Command Technique, Hanaa M. Salman, Rana T. Rasheed Jul 2026

Smart Door For Handicapped People Via Face Recognition And Voice Command Technique, Hanaa M. Salman, Rana T. Rasheed

Engineering and Technology Journal

Smart home indicates an application for different technological implementations, it could indicate any system which controls the door lock and several other devices. Facial identification which is an important section to achieve surveillance and safety, especially for handicapped people, can be considered as one of the ways that deal with biometrics and performed to identify facial images via utilizing fundamental features of the face. A Raspberry Pi-based face recognition system using conventional face detection and recognition techniques is going to be supplied, so the method in which image-built biometrics uses a Raspberry Pi is described. The aim of the paper …


Data Center Enhancement By Server Resources Utilization, Haider A. Ghanem, Rana F. Ghani, Mohammed N. Fadhil Jul 2026

Data Center Enhancement By Server Resources Utilization, Haider A. Ghanem, Rana F. Ghani, Mohammed N. Fadhil

Engineering and Technology Journal

Data centers are the main nerve of the Internet because of its hosting, storage, cloud computing and other services. All these services require a lot of work and resources, such as energy and cooling. The main problem is how to improve the work of data centers through increased resource utilization by using virtual host simulations and exploiting all server resources. In this paper, we have considered memory resources, where Virtual machines were distributed to hosts after comparing the virtual machines with the host from where the memory and putting the virtual machine on the appropriate host, this will reduce the …


Survey Of Recent Video Watermarking Techniques, Taisir N. Hummadia, Nidaa F. Hassanb Jul 2026

Survey Of Recent Video Watermarking Techniques, Taisir N. Hummadia, Nidaa F. Hassanb

Engineering and Technology Journal

With the development of the Internet coupled with expanding the accessibility of multimedia, various copyright issues have resulted. Several researchers have been working on watermarks to provide the security, durability, and a perception of multimedia. This paper a review of some recent works is presented related to video watermarking techniques, this study focuses on the pros and cons of recent video watermarking, areas of application, and the different types and attacks that are standing against these watermarking techniques. The results obtained from this study showed that watermark techniques based on the transfer domain, are more popular than those of the …


Detection Face Parts In Image Using Neural Network Based On Matlab, Shahad L. Galib, Fouad S. Tahir, Asma A. Abdulrahman Jul 2026

Detection Face Parts In Image Using Neural Network Based On Matlab, Shahad L. Galib, Fouad S. Tahir, Asma A. Abdulrahman

Engineering and Technology Journal

Recently, face recognition system (FRS) is implemented in different applications including a range of vital services like airports and banking systems for security purposes. Therefore, deployed surveillance systems have been established which led to the urgent need to develop a vital face recognition system. In this work, a new algorithm was proposed for recognition of the face, personal and color images by training the convolutional neural network using the MATLAB program to build a new program for detection of the face, then building a separate program to discover the lips, nose, and eyes, New methods were explored to analyze the …


License Plate Tilt Correction: A Review, Nada N. Kamal, Enas Tariq Jul 2026

License Plate Tilt Correction: A Review, Nada N. Kamal, Enas Tariq

Engineering and Technology Journal

Tilt correction is an essential step in the license plate recognition system (LPR). The main goal of this article is to provide a review of the various methods that are presented in the literature and used to correct different types of tilt that appear in the digital image of the license plates (LP). This theoretical survey will enable the researchers to have an overview of the available implemented tilt detection and correction algorithms. That’s how this review will simplify for the researchers the choice to determine which of the available rotation correction and detection algorithms to implement while designing their …


Using Texture Feature In Fruit Classification, Mauj H. Abd Al Karim, Abdulamir A. Karim Jul 2026

Using Texture Feature In Fruit Classification, Mauj H. Abd Al Karim, Abdulamir A. Karim

Engineering and Technology Journal

Recent advances in computer vision have allowed wide-ranging applications in every area of life. One such area of application is the classification of fresh products, but the classification of fruits and vegetables has proven to be a complex problem and needs further development. In recent years, various machine learning techniques have been exploited with many methods of describing the different features of fruit and vegetable classification in many real-life applications. Classification of fruits and vegetables presents significant challenges due to similarities between layers and irregular characteristics within the class.Hence , in this work, three feature extractor/ descriptor which are local …


Determination Efficient Classification Algorithm For Credit Card Owners: Comparative Study, Raghad A. Azeez Jul 2026

Determination Efficient Classification Algorithm For Credit Card Owners: Comparative Study, Raghad A. Azeez

Engineering and Technology Journal

Today in the business world, significant loss can happen when the borrowers ignore paying their loans. Convenient credit-risk management represents a necessity for lending institutions. In most times, some persons prefer to late their monthly payments, otherwise, they may face difficulties in the loan payment process to the financial institution. Mainly, most fiscal organizations are considered managed and refined client classification systems, scanning a valid client from invalid ones. This paper produces the data mining idea, specifically the classification technique of data mining and builds a system of data mining process structure. The credit scoring problem will be applied using …