Papers by Ahmed Hassan Ali
Iraqi Journal for Computer Science and Mathematics
Owing to the exponential expansion in the data size, fast and efficient systems of analysis are e... more Owing to the exponential expansion in the data size, fast and efficient systems of analysis are extremely needed. The traditional algorithms of machine learning face the challenge of learning bottlenecks such as; human participation, time, and the accuracy of prediction. But, the efficient and fast methods of dynamic learning offer considerable advantages like lower human participation, rapid algorithms of learning, and easiness implementation. This review paper presents the researches with a brief display for recently existing works in big data analytics and the effective algorithms of machine learning, furthermore, the issues of resources allocation in big data
Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey, 2022
The smart grid allows consumers and utility grids to communicate, allowing for the most efficient... more The smart grid allows consumers and utility grids to communicate, allowing for the most efficient use of generated energy based on environmental, price, and system technical factors. One of the primary advantages of this system is energy management, which is carried out in conjunction with the internet of things (IoT), with real-time monitoring of devices and control data processing. The purpose of the Internet of Things in this project is to build a smart control system to manage generated electricity among several Nano grids by remotely monitoring generated and used power. A set of multifunction sensors is used to wirelessly sense real-time data and convert it into the necessary format, as well as to help move the sensed data over the network cloud via the 'Internet Connection'. Several slave nodes are present in a microgrid (SN). Every SN serves as its own grid (Nano grid), with two or three independent renewable energy sources connected to the master node of the central control unit (MN). To assure a satisfactory outcome, a prototype was built using solar cells and wind turbines as power sources, with an ARDUINO microcontroller managing and controlling power transfer between slave nodes. The practical results showed a good match between the simulated and practical results.
Journal of Ecological Engineering, 2021
The present work is aimed at investigating the capability of chemically modified rice husks (MRH)... more The present work is aimed at investigating the capability of chemically modified rice husks (MRH) for the reduction of aniline ions from industrial wastewater. The experiments have been conducted to examine the influence of four operating parameters in the batch adsorption technique. The effect of initial concentrations of aniline (10-100) mg•L-1 , MRH dose (0.1-1) g/100 ml, pH (3-9), and contact time (10-90) min has been studied. The selected range of operating factors was designed using the response surface method to establish a mathematical model that describes the adsorption process. The optimum parameters were 25 mg•L-1 initial concentration of aniline, 0.68 g MRH dose, 6.6 pH, and 70 min contact time. The point of zero charge was found equal to 6.8. The maximum removal efficiency of 84.97% was found under optimum conditions. The consistency of the mathematical model has been examined and the equilibrium results confirmed with the standard adsorption isotherm models, Langmuir and Freundlich, with a high correlation coefficient.
Journal of Clinical and Experimental Dentistry, 2019
Background: This study aimed to evaluate the bond strength and the penetration depth of two adhes... more Background: This study aimed to evaluate the bond strength and the penetration depth of two adhesive systems to a new experimental semi-IPN fiber post versus a commercial post. Material and Methods: Experimental Kevlar fiber (KF) and control everStick®POST (ES) posts (n=20/ group) with a diameter of 1.5 mm were used, 10 posts coated with StickResin (SR) and the other 10 posts coated with Scotch bond multipurpose (SBMP) adhesives. Composite resin buildup was performed over each post, using a cylindrical plastic mold (10 mm × 6 mm). Four discs of 2 mm thickness were prepared from each post/composite buildup and underwent pushout bond strength test at a crosshead speed of 0.5 mm/min accompanied by failure mode analysis. A further three specimens from each subgroup were bonded with adhesives labeled with 0.1 wt% Rhodamine B and embedded in acrylic resin, sectioned and examined under a confocal Laser-scanning microscope (CLSM) to measure the depth of resin penetration. Statistical analysis included ANOVA and Tukey test, the significance level was assumed at a p-value less than 0.05. Results: The push-out bond strength of KF was comparable to that of ES with both SBMP and SR adhesives (p>0.05). Bond strength value for SBMP was higher than SR adhesive in either ES and KF posts with no significant difference (p> 0.05). ES exhibited higher adhesive penetration depth compared with KF (p<0.05). Conclusions: The bond strength of Kevlar post was comparable with the everStick post and the semi-interpenetrating structure of Kevlar post displayed some adhesive monomers diffusion indicating its usefulness as a new intracanal post.
International Journal of Power Electronics and Drive Systems (IJPEDS), 2019
Solar energy is one of the most promising renewable sources that is currently being used worldwid... more Solar energy is one of the most promising renewable sources that is currently being used worldwide to contribute for meeting rising demands. In this paper solar irradiance measurement will experimentally carried out in two different regions in Egypt; Cairo and Luxor cities. This paper proposes a simple solar lux measurement using a light dependent resistor (LDR) with an arduino kit. This technique is based on two approaches which are coarse and fine maximum sun lux determination. This is based on the predetermined 26 o vertical slop of the LDR. Coarse tuning determines one of the reach sun lux quarter (90 o) of horizontal quad. The fine tuning allocates the optimized 10 o in which; the maximum sun lux can be obtained. The optimal values of sun lux were found between the (90 o-180 o) quarter. This study confirms that the narrow ten degrees (95 o-105 o) are the optimized static sun lux extraction for the two site field measurements. This novel technique can be used for locating the angle of best installations for the solar cell at which maximum solar energy can be extracted.
Journal of Management and Sustainability, 2019
Technological development and globalization made the supply chain more complex in today’s busines... more Technological development and globalization made the supply chain more complex in today’s business environment. In competitive market conditions, shippers tend to outsource most of their logistical activities to Third-Party Logistics (3PL) service providers. These activities have drawn attention of decision makers regarding sustainability concerns. This study examines sustainability initiatives which have been implemented particularly for the 3PL functions namely; transportation, warehousing and packaging services and their influence on performances. Empirical data have been collected through a worldwide online survey which has been sent to industrial experts working in logistics and supply chain management fields. The results were analyzed through the Structural Equation Modelling (SEM). The analysis indicated that, the 3PL functions significantly affect environmental, economic, social and operational performance, except packaging which had no significant impact on economic, operat...
THE IRAQI JOURNAL FOR MECHANICAL AND MATERIALS ENGINEERING, 2018
Through the last two to three dictate, composite materials had being applied enormously inmany in... more Through the last two to three dictate, composite materials had being applied enormously inmany industry fields. This is as fact that this type of materials possess; high strength toweight ratio, high stiffness, and limit thermal conductivity. In this work Nano-Yttrium oxidewith (0%, 1%, 2%, 3% and 4%) weight fraction had been added, as reinforcement phase, toacrylic resin (cold curing). Various physical and mechanical tests had done for determiningthe development in the properties of the prepared composite samples like: hardness, tensilestrength, thermal conductivity, water absorption and density. The results show: decreasingtensile strength with increasing Nano-Y2O3 weight fraction, maximum decline in tensilestrength was at (4) % Y2O3, about (16.2) % of Acrylic strength; increasing in hardness withincreasing Nano-Y2O3 weight fraction, maximum hardness was at (4) % Y2O3, about (107)% of Acrylic hardness, no obviously density change with increasing Nano-Y2O3 weightfraction, decreasin...
Journal of dental research, 2018
A single-blind randomized controlled clinical trial in patients with deep caries and symptoms of ... more A single-blind randomized controlled clinical trial in patients with deep caries and symptoms of reversible pulpitis compared outcomes from a self-limiting excavation protocol using chemomechanical Carisolv gel/operating microscope (self-limiting) versus selective removal to leathery dentin using rotary burs (control). This was followed by pulp protection with mineral trioxide aggregate (MTA) and restoration with glass ionomer cement and resin composite, all in a single visit. The pulp sensibility and periapical health of teeth were assessed after 12 mo, in addition to the differences in bacterial tissue concentration postexcavation. Apical radiolucencies were assessed using cone beam computed tomography/periapical radiographs (CBCT/PAs) taken at baseline 0 mo (M0) and 12 mo (M12). In total, 101 restorations in 86 patients were placed and paired subsurface, and deep (postexcavation) dentin samples were obtained. DNA was extracted and bacteria-specific 16S ribosomal RNA gene quantita...
Benha Journal of Applied Sciences, Mar 1, 2016
The inhibitive effect of polymeric surfactants on the corrosion of carbon steel in 0.5M HCl has b... more The inhibitive effect of polymeric surfactants on the corrosion of carbon steel in 0.5M HCl has been investigated by weight loss and polarization techniques. Potentiodynamic polarization measurements showed that these compounds are mixed type inhibitors. The adsorption of these inhibitors on carbon steel surface obeys Langmuir adsorption isotherm. The effect of temperature on the corrosion behavior of carbon steel in hydrochloric acid in presence of the most effective concentrations of the inhibitors was studied in temperature range (25-70°C). The associated activation energy of carbon steel corrosion as well as energy of adsorption of studied compounds has been determined.
International Journal of Automation and Control, 2023
A fuzzy neural Petri nets (FNPNs) controller is utilised for controlling a three-links robot arm ... more A fuzzy neural Petri nets (FNPNs) controller is utilised for controlling a three-links robot arm which considers a nonlinear dynamic system. The incorporation of the classical FNN with a Petri net (PN) has been suggested to produce a new representing system called FNPN structure to alleviate the computation burden. The motion equation of three links robot arm is derived from Lagrange's equation. This equation has been incorporated with the motion equations of DC servo motors which motivate the robot. For nonlinearity dynamic problems, this paper presents a direct adaptive control technique to control three links robot arm utilising the FNPN controller. The computer simulation depicts that the present FNPN controller accomplished better performance with fast response and minimum error. Control of three-links robot arm based on fuzzy neural Petri nets
Benha Journal of Applied Sciences, Mar 1, 2016
The inhibitive effect of polymeric surfactants on the corrosion of carbon steel in 0.5M HCl has b... more The inhibitive effect of polymeric surfactants on the corrosion of carbon steel in 0.5M HCl has been investigated by weight loss and polarization techniques. Potentiodynamic polarization measurements showed that these compounds are mixed type inhibitors. The adsorption of these inhibitors on carbon steel surface obeys Langmuir adsorption isotherm. The effect of temperature on the corrosion behavior of carbon steel in hydrochloric acid in presence of the most effective concentrations of the inhibitors was studied in temperature range (25-70°C). The associated activation energy of carbon steel corrosion as well as energy of adsorption of studied compounds has been determined.
International Journal of Integrated Engineering
The huge number of irrelevant and redundant data used in building intrusion detection systems (ID... more The huge number of irrelevant and redundant data used in building intrusion detection systems (IDS) is one of the common issues in network intrusion detection systems. This paper proposed the use of Fuzzy Generalized Hebbian Algorithm as a novel data reduction method to overcome this problem of data redundancy in IDS. Two methods for dimensionality reduction (GHA and Fuzzy GHA) were used and compared in this study. This allowed retaining the most relevant traffic data information from the network. Furthermore, the K Nearest Neighbor algorithm was applied for the classification of the test connections into 2 categories (attack or normal). The investigations were carried out on the KDDCUP '99 dataset and the results showed the Fuzzy GHA method to perform better than GHA in the detection of both U2R and DoS attacks.
International Journal of Automation and Control, 2023
A fuzzy neural Petri nets (FNPNs) controller is utilised for controlling a three-links robot arm ... more A fuzzy neural Petri nets (FNPNs) controller is utilised for controlling a three-links robot arm which considers a nonlinear dynamic system. The incorporation of the classical FNN with a Petri net (PN) has been suggested to produce a new representing system called FNPN structure to alleviate the computation burden. The motion equation of three links robot arm is derived from Lagrange's equation. This equation has been incorporated with the motion equations of DC servo motors which motivate the robot. For nonlinearity dynamic problems, this paper presents a direct adaptive control technique to control three links robot arm utilising the FNPN controller. The computer simulation depicts that the present FNPN controller accomplished better performance with fast response and minimum error. Control of three-links robot arm based on fuzzy neural Petri nets
Bulletin of Electrical Engineering and Informatics, Feb 1, 2023
The use of network-connected gadgets is rising quickly in the internet age, which is escalating t... more The use of network-connected gadgets is rising quickly in the internet age, which is escalating the number of cyberattacks. The detection of distributed denial of service (DDoS) attacks is a tedious task that has necessitated the development of a number of models for its identification recently. Nonetheless, because of major fluctuations in subscriptions and traffic rates, it continues to be a difficult challenge. A novel automatic detection technique was created to address this issue in this work, which reduces the feature space and consequently minimizes the computational time and model overfitting. Data preprocessing is done first to increase the model's generalizability; then, a feature selection method is used to choose the most pertinent features to increase the accuracy of the classification process. Additionally, hyperparameter tuning-choosing the proper parameters for the learning approach-improved model performance. Finally, the support vector machine (SVM) is compatible with the optimization and the hyperparameters offered by supervised learning methods. The CICDDoS2019 dataset was used to evaluate each of these assays, and the experimental findings demonstrated that, with an accuracy of 99.95%, the suggested model performs well when compared to more modern techniques.
International Journal of Integrated Engineering
The huge number of irrelevant and redundant data used in building intrusion detection systems (ID... more The huge number of irrelevant and redundant data used in building intrusion detection systems (IDS) is one of the common issues in network intrusion detection systems. This paper proposed the use of Fuzzy Generalized Hebbian Algorithm as a novel data reduction method to overcome this problem of data redundancy in IDS. Two methods for dimensionality reduction (GHA and Fuzzy GHA) were used and compared in this study. This allowed retaining the most relevant traffic data information from the network. Furthermore, the K Nearest Neighbor algorithm was applied for the classification of the test connections into 2 categories (attack or normal). The investigations were carried out on the KDDCUP '99 dataset and the results showed the Fuzzy GHA method to perform better than GHA in the detection of both U2R and DoS attacks.
Bulletin of Electrical Engineering and Informatics
Large-scale datasets are becoming more common, yet they can be challenging to understand and inte... more Large-scale datasets are becoming more common, yet they can be challenging to understand and interpret. When dealing with big datasets, principal component analysis (PCA) is used to minimize the dimensionality of the data while maintaining interpretability and avoiding information loss. It accomplishes this by producing new uncorrelated variables that gradually reduce the variance of the system. In the field of data analysis, PCA is a multivariate statistical technique commonly used to obtain rules explaining the separation of groups in a given situation. Classes are predicted using a classification algorithm, a supervised learning technique that indicates which type of data points will be presented. Creating a classification model using classification algorithms is required before any successful classification can be achieved. It is possible to predict the future using a variety of categorized strategies. It is necessary to reduce the dimensionality of data sets using the PCA appro...
Bulletin of Electrical Engineering and Informatics, Feb 1, 2023
The use of network-connected gadgets is rising quickly in the internet age, which is escalating t... more The use of network-connected gadgets is rising quickly in the internet age, which is escalating the number of cyberattacks. The detection of distributed denial of service (DDoS) attacks is a tedious task that has necessitated the development of a number of models for its identification recently. Nonetheless, because of major fluctuations in subscriptions and traffic rates, it continues to be a difficult challenge. A novel automatic detection technique was created to address this issue in this work, which reduces the feature space and consequently minimizes the computational time and model overfitting. Data preprocessing is done first to increase the model's generalizability; then, a feature selection method is used to choose the most pertinent features to increase the accuracy of the classification process. Additionally, hyperparameter tuning-choosing the proper parameters for the learning approach-improved model performance. Finally, the support vector machine (SVM) is compatible with the optimization and the hyperparameters offered by supervised learning methods. The CICDDoS2019 dataset was used to evaluate each of these assays, and the experimental findings demonstrated that, with an accuracy of 99.95%, the suggested model performs well when compared to more modern techniques.
DESALINATION AND WATER TREATMENT
Microbial fuel cells (MFCs) are considered a low-cost engineered system and easy to construct. MF... more Microbial fuel cells (MFCs) are considered a low-cost engineered system and easy to construct. MFC was designed as a single-chamber, inoculation with activated sludge, and graphite plates as an electrode. A series of experiments were undertaken in a batch mode in MFCs, to access the effect of the process variable: pH, salt bridge type, molar concentration, temperature, dye concentration. The best parameters were found to be 7.5, KCl, 1.5 M, 30°C, and 500 mg/L where the maximum removal and voltage production was 70.3%, 822 mV, 74.7%, 994 mV, 80.8%, 1,395 mV, 85.7%, 1,989 mV and 93.8%, 2,800 mV, respectively. The batch experiment used adsorptive capacity for locally available and cheaper adsorbents: granite (G), porcelanite (PC), sawdust (SD), granular activated sludge, and groundnut shells (GS). Results showed that removal efficiency of adsorbents were in the consequence as: PC (69.3%) > GS (57.2%) > AS (52%) SD (43.8%) > G (24.3). Next experiments were focused on enhancing the performance of MFC by using the best adsorbents, Iraqi porcelanite show have good adsorption capacity dye, removal and voltage were obtained 95.8%, 2,789 mV. This study also investigates the removal of dyes (Congo red CR, Reactive black RB, Reactive yellow RY, and Methyl orange MO), decolorization of dyes was observed for the first at CR 98.6%, while in MO, RY, and RB is 96.2%, 91.5%, and 86.9%, respectively. In the terms of voltage, the maximum output voltage for CR, MO, RY, and RB is 2,877, 2,794, 2,574, and 2,454 mV, respectively. The artificial neural network model has been applied to accurately determine the most important factor in MFCs. It is observed that temperature plays a major role in decolorization and voltage production (100%) followed by a dye concentration of (84.3%).
Bulletin of Electrical Engineering and Informatics
Large-scale datasets are becoming more common, yet they can be challenging to understand and inte... more Large-scale datasets are becoming more common, yet they can be challenging to understand and interpret. When dealing with big datasets, principal component analysis (PCA) is used to minimize the dimensionality of the data while maintaining interpretability and avoiding information loss. It accomplishes this by producing new uncorrelated variables that gradually reduce the variance of the system. In the field of data analysis, PCA is a multivariate statistical technique commonly used to obtain rules explaining the separation of groups in a given situation. Classes are predicted using a classification algorithm, a supervised learning technique that indicates which type of data points will be presented. Creating a classification model using classification algorithms is required before any successful classification can be achieved. It is possible to predict the future using a variety of categorized strategies. It is necessary to reduce the dimensionality of data sets using the PCA appro...
Bulletin of Electrical Engineering and Informatics, 2021
Advancements in information technology is contributing to the excessive rate of big data generati... more Advancements in information technology is contributing to the excessive rate of big data generation recently. Big data refers to datasets that are huge in volume and consumes much time and space to process and transmit using the available resources. Big data also covers data with unstructured and structured formats. Many agencies are currently subscribing to research on big data analytics owing to the failure of the existing data processing techniques to handle the rate at which big data is generated. This paper presents an efficient classification and reduction technique for big data based on parallel generalized Hebbian algorithm (GHA) which is one of the commonly used principal component analysis (PCA) neural network (NN) learning algorithms. The new method proposed in this study was compared to the existing methods to demonstrate its capabilities in reducing the dimensionality of big data. The proposed method in this paper is implemented using Spark Radoop platform.
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Papers by Ahmed Hassan Ali