Ahmad H. Sabry

• Doctor of Philosophy
• Researcher at Shatt Al-Arab University College

Electric vehicle (EV) batteries experience significant degradation during their primary use. While reaching End-of-Life (EOL) for EVs, these batteries hold the potential for a "Second-life" in less demanding applications. However, accurate estimation for State-of-Health (SoH) remains a challenging task as it requires extensive monitoring communicat...

Accurate automated analysis of ECG signals is essential for efficient heart health assessment. This study aims to develop a robust deep learning framework for precise ECG signal labeling. The approach combines signal segmentation and classification to enhance QRS complex and R-peak detection. A two-stage deep learning architecture was employed. The...

This work presents an approach for anomaly detection using autoencoders and wavelets to identify arc faults in a DC power system, where Cassie arc model is used for synthetic arc fault generation. The system uses a deep learning technique called an autoencoder to detect anomalies in the signal. The autoencoder is trained on normal, fault-free data....

As per literature, there is a potential for energy savings of (5 to 20) % using building embedded control systems. This work aims to control a house air-conditioning system using Model Predictive Control (MPC) with a Neural State Space Prediction (NSSP) Model to maintain interior temperature set-point and reduce energy consumption. Here we present...

For microgrids to operate optimally and minimize the effects of uncertainty, anticipating solar PV measurements is essential. For residential and commercial microgrids that use solar PV, the predicting of solar energy over a short period is crucial for managing grid-connected PV effectively. Therefore, this work develops a Recurrent Neural Network...

Robotics uses model predictive control (MPC) methods frequently because they ensure viability and enable the computation of revised trajectories while the robot is in motion. Nonlinear MPC-based trajectory tracking with or without obstacle avoidance has been widely discussed priory, but there is no discussion has been made on fuel minimization. Thi...

Environmental concerns and rising in energy costs require innovative solutions for household water heating. This work presents an innovative strategy for an evacuated tube-based electric/solar water heater (ESWH) incorporated with an aluminum reflector, which significantly reduces dependence on grid electricity. The whole area of the solar collecto...

Traditional methods for tracking the paths of driverless vehicles use plant models to determine the corresponding control laws. Due to the intricate interactions between the road and the tires, time-varying characteristics, and unidentified disturbances. It is challenging to create an accurate vehicle model. As a result, data-driven controllers, wh...

As oscillator applications, resistance-inductor-capacitor (RLC) circuits are employed in a diversity of settings. A low-pass, band-stop, band-pass, or high-pass filters can all be designed using an RLC circuit. A two-loop RLC circuit could not be represented mathematically in prior studies. Laplace transform is one type of integral transformation,...

While the motion planning algorithms consider the obstacles that were known in the map, it is possible to use obstacle avoidance algorithms to take over and send commands to the unmanned aerial vehicle (UAV), when there is an unknown obstacle on the way. The rapidly random tree (RRT) algorithm is used to plan paths for a quad-copter or a fixed-wing...

The use of computer-based automated approaches and improvements in lung sound recording techniques have made lung sound-based diagnostics even better and devoid of subjectivity errors. Using a computer to evaluate lung sound features more thoroughly with the use of analyzing changes in lung sound behavior, recording measurements, suppressing the pr...

A critical parameter of IoT nodes and WSN nodes is runtime. In most cases, nodes are battery-powered. The use of Energy Harvesting based power systems in the nodes allows to extend the operating time. Modeling and simulation of circuits using Energy Harvesting makes it possible to achieve optimal circuit design before physical implementation. This...

Security identification solutions against WLAN network attacks according to straightforward digital detectors, such as SSID, IP addresses, and MAC addresses, are not efficient in identifying such hacking or router impersonation. These detectors can be simply mocked. Therefore, a further protected key uses new information by combining these simple d...

For power plant networks in developing countries like Iraq, balancing electricity demand and generation continues to be a major challenge. Energy management (EM) in either demand-side (DS) or generation-side (GS) strategies, which is frequently utilized in Iraq due to a lack of adequate power generation, has a small impact on the power balancing me...

Recently, engine design and control systems have been developed using data-driven modeling techniques to specify the in-cylinder complicated combustion process. The cooling fan performance is highly influenced by several factors that are determined based on what is called (DOE) «design of experiments». These factors include blade tip clearance, pit...

Deep learning algorithms rely on digital pathology to classify tissue tumors, where the whole tissue slides are digitized and imaged. The produced multi-resolution whole slide images (MWSIs) are with high resolution that may range from about 100,000 to 200,000 pixels. MWSIs are often stored in a multi-resolution configuration to simplify the proces...

Recently, assistive explanations for difficulties in the health check area have been made viable thanks in considerable portion to technologies like deep learning and machine learning. Using auditory analysis and medical imaging, they also increase the predictive accuracy for prompt and early disease detection. Medical professionals are thankful fo...

System Identification Using Genetic Neural Network

Lung auscultation has long been used as a valuable medical tool to assess respiratory health and has gotten a lot of attention in recent years, notably following the coronavirus epidemic. Lung auscultation is used to assess a patient’s respiratory role. Modern technological progress has guided the growth of computer-based respiratory speech investi...

Deep learning algorithms are able to automatically handle point clouds over a broad range of 3D imaging implementations. They have applications in advanced driver assistance systems, perception and robot navigation, scene classification, surveillance, stereo vision, and depth estimation. According to prior studies, the detection of objects from poi...

Building-integrated solar photovoltaic (BIPV) systems have gained attention in current years as a way to recover the building's thermal comfort and generate sustainable energy in building structures. BIPV systems can provide shade against sunshine while generating ancillary electrical power. Over the last decades, engineers have been trying to impr...

In the literature, there are many different photovoltaic (PV) component sizing methodologies, including the PV/inverter power sizing ratio, recommendations, and third-party field tests. This study presents the state-of-the-art for gathering pertinent global data on the size ratio and provides a novel inverter sizing method. The size ratio has been...

Deep learning has recently been used for this issue with superior results in automatic modulation classification. Previous studies state that it is challenging to categorize a variety of modulation formats using traditional approaches; however, modulation classification is a crucial component of non-cooperative communication in wireless communicati...

Free space path loss is a function of frequency and propagation distance and the RF signal propagates at light speed in all directions in free space. The performance evaluation of wireless and radar communication technologies is related to understanding the propagation environments. This work presents the modeling of several RF propagation properti...

Target scattering or reflection is used by radar systems to identify and detect targets. The larger the echo that was returned to the radar receiver, the superior the signal-to-noise ratio and the greater the likelihood of detection. The radar cross-section (RCS) determines the quantity of energy reflected from a target in radar systems. This work...

The process of remote laser welding is simulated in this study to identify the keyhole-induced porosity generation mechanisms and keyhole. Three processes are simulated and discussed: laser power levels, laser-beam shaping configurations, and laser keyhole process. The simulation finding reveals that pore development is caused by strong melt flow b...

To achieve optimum torque per amp, we retain the angle of the stator-current-vector with respect to the rotor-flux at 90 degrees, rather than controlling the amplitude of the stator-current-vector. Without or with the load torque, the proportional-integral (PI) controller produced better results in the speed control loop. A controller is required t...

The process of remote laser welding is simulated in this study to identify the keyhole-induced porosity generation mechanisms and keyhole. Three processes are simulated and discussed: laser power levels, laser-beam shaping configurations, and laser keyhole process. The simulation finding reveals that pore development is caused by strong melt flow b...

The performance of Wi-Fi fingerprinting indoor localization systems (ILS) in indoor environments depends on the channel state information (CSI) that is usually restricted because of the fading effect of the mul-tipath. Commonly referred to as the next positioning generation (NPG), the Wi-Fi™, IEEE 802.11az standard offers physical layer characteris...

The performance of Wi-Fi fingerprinting indoor localization systems (ILS) in indoor environments depends on the channel state information (CSI) that is usually restricted because of the fading effect of the mul-tipath. Commonly referred to as the next positioning generation (NPG), the Wi-Fi™, IEEE 802.11az standard offers physical layer characteris...

A closed-loop auto-tuner proportional integral derivative (PID) controller for tuning the DC-link voltage, voltage neutral controllers, and DQ axis current for a power factor corrector with Vienna rectifier is developed and discussed in this study. In traditional tuning of these control loops, it is needed to tune one loop at a time manually, which...

Several studies discussed the predictive modeling of deep learning in different applications such as classifying tissue features from microstructural data, Crude Oil Prices, mechanical constitutive behavior of materials, microbiome data, and mineral prospectively. Commercial navigation includes a wealth of trip-related data, including distance, exp...

Recycling is one of the most important approaches to safeguard the environment since it aims to reduce waste in landfills while conserving natural resources. Using deep Learning networks, this group of wastes may be automatically classified on the belts of a waste sorting plant. However, a basic set of connected layers may not be adequate to give s...

Refrigerators consume significantly high energy and the improvement in their efficiency is essential to minimize greenhouse gas emissions. Understanding the power consumption patterns of refrigerators is a key element that is not thoroughly studied, especially in domestic PV systems with integrated battery storage. Therefore, the main objective of...

In this work, we are going to explain how to use the analysis of motor power pattern/signature analysis (MPPA) of a power signal driving a servo to find mechanical defects in a gear train. A hardware setup is used to simplify the demonstration of obtaining spectral metrics from the power consumption signals. A DC motor, a set of metal or nylon driv...

Numerical studies on deformation piezoelectric sensors are described in this study. The major goal of this research is to compare the effect of DC voltage on piezoelectric structure, the effect of DC voltage on the resonance frequency of piezoelectric knock sensors, and the effects of these parameters on sensor sensitivity and accuracy. The impedan...

Brain tumors are the growth of abnormal cells or a mass in a brain. Numerous kinds of brain tumors were discovered, which need accurate and early detection techniques. Currently, most diagnosis and detection methods rely on the decision of neuro-specialists and radiologists to evaluate brain images, which may be time-consuming and cause human error...

The thermal coefficient of a solar photovoltaic (PV) panel is a value that is provided with its specification sheet and tells us precisely the drop in panel performance with rising temperature. In desert climates, the PV panel temperatures are known to reach above 70 degrees centigrade. Exploring effective methods of increasing energy transfer effi...

The developments of wireless networks have directed to search for opportunities of a broad diversity of improved and new networking contributions. Wireless Asynchronous Transfer Mode (ATM) is a non-synchronous or random mode of transferring information. The advantages of circuit switching include dedicated connections and guaranteed traffic paramet...

[This corrects the article DOI: 10.1016/j.heliyon.2020.e05699.].

Industrial companies follow different maintenance strategies to increase operational reliability and reduce costs. One way to reduce maintenance costs is by real-time inspection of power consumptions to predict the potential failure of industrial machines. Wireless monitoring is essential as it provides safe and remote measuring for such applicatio...

Despite a sufficient energy supply, harvesting energy from rainfall is essential for intelligent water management. A significant part is still untapped or little exploited, which is the renewable energy produced from rainwater. This paper proposes a portable gutter of the rainwater energy harvesting system to provide electricity that may be suffici...

The growing concern for renewable energy systems with battery storage has increased the usage of battery-based backup power systems and has gained popularity over recent years because of the rigid environmental criteria on fossil fuels. The demand on plug in battery charger has increased with the necessity of a grid integrated systems in Electric V...

DC distribution of PV systems has spread back especially in the residential sector as a variety of electronic appliances became locally available in the market. The compatibility of household appliances with the best voltage-level in a DC environment is the field that still in the research phase and has not yet made a practically extensive appearan...

The use of a bending machine acquired a high level of importance as a consequence of increasing the level of the industry. This paper aims to develop a more accurate and precise bending machine. The proposed bending machine has achieved brilliant output products, in which three main manufacturing parameters have been examined for the production of...

DC power distribution in residential sector has regained interest among researchers and industrial players as new electronics-based appliances became locally available. However, the compatibility of appliances with DC distribution systems still requires much research effort. This work mainly explores on the power consumption profile of an inverter-...

Periodic preventive maintenance of power transformer should be conducted for its health monitoring and early fault detection. Transformer oil is a vital element where its contents and properties need to be monitored during the service life of a power transformer. This paper presents an optical spectroscopy measurement from 200 nm to 3300 nm to char...

DC power has spread back, especially in residential microgrid PV systems, as a variety of modern electronic loads became available commercially. The compatibility of household appliances with a DC distribution system with the best voltage-level is the areas that not yet made a practically extensive appearance, and it is still in the research phase....

Electric vehicles usage and adoption have expanded rapidly over the last decade, as the global energy demand is shifting away from fossil fuels. The recent development of electric vehicle charging technology, which is a fast charging mode, enables an electric vehicle to be fully charged within 10 minutes. However, the generated harmonics, control c...

Recently, increasing pollution around the world as a result of the increased demand for energy is an essential and critical issue that people face nowadays. As a result of this, there was an increase and an urgent need to produce electricity from its clean sources. The process of producing clean energy is one of the necessary steps to reduce pollut...

For a portable backup power system, there is an essential need to contribute to increasing the energy conversion efficiency between the source and the electrical household appliances to overcome the recent issues of global warming. This paper proposes a Backup power system (BPS) compatible with the capability to match with two primary power sources...

span style="font-size: 9pt; font-family: 'Times New Roman', serif;">An efficient charging station is a necessity for Unmanned Aerial Vehicle (UAV) systems. However, if that implementation adds more complexity and onboard weight, then that exercise becomes a burden rather than a benefit since UAV's engineers aim to improve efficiency by reducing the...

Electric vehicles (EVs) become a solution for the rapid increase of the environment pollutions. EVs are energized by battery storage systems which are environment friendly and with more technological advancements; their price will be affordable by the consumers. However, as EVs become significant loads on the utility distribution system, maintainin...

Multi-level transformerless inverters are widely used in grid-tied PV systems since they characterized by higher efficiency and lower cost. In this context, new topologies, modulation, and control schemes were presented to solve problems of a common-mode voltage and leakage current. This work proposes a transformerless five-level inverter with zero...

Fault Detection via power consumption monitoring of industrial robots is a substantial problem considered in this work, in which the healthy measurements of power consumption and encoders data for a pre-specified task are employed as a reference for comparison to diagnose the potential failures or excessive degradation in the robot joints. Since mo...

Solar photovoltaic (PV) characteristic curves (P‐V and I‐V) offer the information required to configure the PV system to operate as near to its optimal performance as possible. Measurement‐based modeling can provide an accurate description for this purpose. This work analyzes the PV module performance and develops a mathematical formula under parti...

Backup power system (BPS) compatible with two options of primary power sources; grid-connected power (AC) or solar PV-power (DC), to provide power to household appliances that comprises; a rechargeable battery bank, a charging-balancing circuit to keep the battery fully charged when power from the utility grid is available, a battery management cir...

Photovoltaic (PV) parameters monitoring is very important for the implementation and optimum utilisation of solar energy as electricity source. This work proposes a design of simple, cost-efficient, and low consumption wireless PV monitoring system enhanced by a driving software for recording the PV system parameters. The circuit is designed with a...

The power generated by solar photovoltaic (PV) is highly affected by the weather environment. Thin-Film solar module of cadmium telluride (CdTe) is one of the Semi-transparent PV (STPV) that can be employed in a wide application range as a means to sunlight permeability while supplying solar electrical energy with some shading which also preferable...

Semitransparent photovoltaic (STPV) can be employed in a wide application range to provide sunlight permeability for supplying solar electrical energy with some shading, which is preferable in hot areas. To predict the output power and formulate the performance of this type of PV system, the proposed approach analyzes a Thin-Film solar cadmium tell...

The most common energy source is the fossil fuel (such as crude oil, natural gas, and coal). The fossil fuel generally produces move the motorcar or utilize the steam to impulse the turbine to generate electricity. However, the burning of fossil fuel will cause the air pollution and the global greenhouse effect. In addition, due to the high consump...

Recently, exploitation of the renewable energy resources has been underlined in high-rise buildings, the contribution of building in energy conservation has witnessed increased advances in the recent years in both residential and commercial sectors. The increasing demand for building services and comfort levels as well as due to growth in populatio...

The power system always has several variations in its profile due to random load changes or environmental effects such as device switching effects when generating further transients. Thus, an accurate mathematical model is important because most system parameters vary with time. Curve modeling of power generation is a significant tool for evaluatin...

MATLAB data of a wind speed pattern [34]. (MAT)

MATLAB data for FL-255 turbine (Manufacturer’s power curve). (MAT)

Excel data of an electrical load curve data and the forecast generated every day [43]. (XLSX)

Excel data for seven-days of a solar output power [54]. (XLS)

Comparison results between the several common modeling equations and the proposed (BEVF) method for the 250 KW wind turbine model FL-255. (DOCX)

Gravitation energy harvesting of climbed down objects is a promise to harvest unused potential energy from a host building or structure. Similarly, a dynamically dropper mechanism is proved to be a simple and effective electric energy generator, with many practical implementations in power, civil, and mechanical engineering. This research analyzes...

A significant feasibility required to monitor the parameters during the measurements of PV performance to optimize the energy production process, but the most suitable and effective wireless strategy with implementation cost may rise the difficulties of applying. In order to mitigate that, a low cost and low consumption wireless monitoring circuit...

In residential applications, energy engineers are always looking for optimal utilization of solar power to manage energy use and reduce its impact on our economy and environment. The power source in such systems is direct current (DC) in nature, but the electricity infrastructure is still based on alternating current (AC), although most of the...

The success of a design of an effective premises area network requires appropriate algorithm and communication strategy. The primary objective of this paper is to present an effective algorithm for low cost process and monitoring system integrated with energy management of a solar-powered home system. The proposed algorithm designed to serve a syst...

In order to successfully launch Electric vehicles (EVs) over the actual world, EVs battery chargers have a crucial role to predict the charging time. This work presents the design process of a universal EV charger, The proposed charger is able of providing a controllable and constant charging voltage for a various EVs, which is composed of three le...

The main tool for measuring system efficiency in homes and offices is the energy monitoring of the household appliances’ consumption. With the help of GUI through a PC or smart phone, there are various applications that can be developed for energy saving. This work describes the design and prototype implementation of a wireless PV-powered home ener...

This paper provides a comprehensive literature survey that has needed due to the growing interest in solar-powered smart home systems. This article addresses the smart home technologies that consider the DC-environment as a power distribution topology as well as the home energy management system. A related applications, definitions, and information...

In the modeling of the transmission line, the electric energy produced at generating stations is transported over highvoltage transmission lines to utilization points, and the trend toward higher voltages is motivated by the increased line capacity while reducing line losses per unit of power transmitted. An electric transmission line is modeled us...