Abdallah Mohamed Alwy AL-BEITY, Fatih Korkmaz, B. Güzel
Peculiarly cylindrical legs on offshore platforms constantly are exerted vigorously to wave stresses. For their lifetime, a test on structural deformations and pressure measurements is taken. Experimental research on the wave forces affecting cylindrical structures is presented. To determine pressure distributions and deformations in the altered cylinder's surface properties by applying a hydrophobic coating. Hence, the angle at which water drops hit the surface has increased, thus, decreasing water adhesion to the surface. The geometric modification or additional weight coated on the cylinders' surfaces is not notable. Wave loads with various amplitudes and frequencies were applied repeatedly to cylinders with hydrophobic and hydrophilic surface materials. Three pressure sensors and a strain gauge were used to measure pressure distributions and the cylinders' surface deformations respectively. Two cylinders' fluctuation in pressure is carefully examined and analyzed. Cylinder's pressure response for hydrophobic surfaces varied based on the sensor's location by lowering the maximum pressure or the impact time. The structural deformations due to changing surface properties and strain readings were contrasted. The structural deformation changed, with the impacting wave distributed throughout the surface. Image processing demonstrates the variation in the water body's volume to which the surface is exposed, reinforcing this finding.
{"title":"Wave Impact Loads on Vertical Circular Cylinder and the effect of Hydrophobic Surface","authors":"Abdallah Mohamed Alwy AL-BEITY, Fatih Korkmaz, B. Güzel","doi":"10.31202/ecjse.1202291","DOIUrl":"https://doi.org/10.31202/ecjse.1202291","url":null,"abstract":"Peculiarly cylindrical legs on offshore platforms constantly are exerted vigorously to wave stresses. For their lifetime, a test on structural deformations and pressure measurements is taken. Experimental research on the wave forces affecting cylindrical structures is presented. To determine pressure distributions and deformations in the altered cylinder's surface properties by applying a hydrophobic coating. Hence, the angle at which water drops hit the surface has increased, thus, decreasing water adhesion to the surface. The geometric modification or additional weight coated on the cylinders' surfaces is not notable. Wave loads with various amplitudes and frequencies were applied repeatedly to cylinders with hydrophobic and hydrophilic surface materials. Three pressure sensors and a strain gauge were used to measure pressure distributions and the cylinders' surface deformations respectively. Two cylinders' fluctuation in pressure is carefully examined and analyzed. Cylinder's pressure response for hydrophobic surfaces varied based on the sensor's location by lowering the maximum pressure or the impact time. The structural deformations due to changing surface properties and strain readings were contrasted. The structural deformation changed, with the impacting wave distributed throughout the surface. Image processing demonstrates the variation in the water body's volume to which the surface is exposed, reinforcing this finding.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76600195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In addition to the damage it can cause to various organs, diabetes mellitus (DM) also increases a person's risk of developing other serious health conditions. These can include heart disease, stroke, and nerve damage. Furthermore, DM is a leading cause of blindness and kidney failure. However, with proper management and treatment, many of the complications of DM can be prevented or delayed. Thus, early detection and treatment of DM are crucial. With the advancement of machine learning technology, new opportunities have emerged in the field of medicine. Many disease detection research rely on machine learning techniques, with a particular emphasis on boosting algorithms. Boosting algorithms are used to improve the accuracy of predictions made by other weak models such as decision trees. Using knowledge discovery methods, boosting algorithms are examined and compared on a diabetes dataset in this study. The performance of the boosting algorithms is evaluated by generating ROC curves and comparing average accuracy values. When the study's results were evaluated in terms of precision, Gradient Boosting, AdaBoost, CatBoost, LightGBM, and XGBoost algorithms gives success rates of %85, %83, %88, %86, and %87, respectively.
{"title":"The Diagnosis of Diabetes Mellitus with Boosting Methods","authors":"Hilal Koçak, Gürcan Çetin","doi":"10.31202/ecjse.1242207","DOIUrl":"https://doi.org/10.31202/ecjse.1242207","url":null,"abstract":"In addition to the damage it can cause to various organs, diabetes mellitus (DM) also increases a person's risk of developing other serious health conditions. These can include heart disease, stroke, and nerve damage. Furthermore, DM is a leading cause of blindness and kidney failure. However, with proper management and treatment, many of the complications of DM can be prevented or delayed. Thus, early detection and treatment of DM are crucial. With the advancement of machine learning technology, new opportunities have emerged in the field of medicine. Many disease detection research rely on machine learning techniques, with a particular emphasis on boosting algorithms. Boosting algorithms are used to improve the accuracy of predictions made by other weak models such as decision trees. Using knowledge discovery methods, boosting algorithms are examined and compared on a diabetes dataset in this study. The performance of the boosting algorithms is evaluated by generating ROC curves and comparing average accuracy values. When the study's results were evaluated in terms of precision, Gradient Boosting, AdaBoost, CatBoost, LightGBM, and XGBoost algorithms gives success rates of %85, %83, %88, %86, and %87, respectively.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89301564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A computer-applicable linear mathematical model has been developed to determine Burmester’s curves for infinitely close relative positions (cubic of stationary curvature), which indirectly uses Carter-Hall’s circle. By varying a free parameter and using elements of kinematic and analytical geometry, an incomparably simpler solution is achieved than that obtained by the third-degree equations of the Burmester's curves for stationary curvature. The mathematical model for the synthesis of four-bar linkages includes and a condition for the pressure angle, whereupon is uniquely defined the kinematic diagram of the mechanism. Of the pressure angle, the reactions of the forces in the kinematic pairs and the force sizing of the mechanism depend. The model would facilitate the engineers in the synthesis of four-bar linkages by generating a function approximating a given function in the vicinity of a given position, where the two functions have four infinitely close common points (3rd-order approximation). An example of the synthesis of a four-bar linkage illustrates the application of the model, which is linear - it includes only equations of straight lines written in Cartesian coordinates, which is why it is convenient for computer calculations.
{"title":"Synthesis of Four-Bar Linkages by Four Infinitely Close Relative Positions and Pressure Angle","authors":"V. Galabov, R. Roussev, B. PALEVA-KADİYSKA","doi":"10.31202/ecjse.1239481","DOIUrl":"https://doi.org/10.31202/ecjse.1239481","url":null,"abstract":"A computer-applicable linear mathematical model has been developed to determine Burmester’s curves for infinitely close relative positions (cubic of stationary curvature), which indirectly uses Carter-Hall’s circle. By varying a free parameter and using elements of kinematic and analytical geometry, an incomparably simpler solution is achieved than that obtained by the third-degree equations of the Burmester's curves for stationary curvature. The mathematical model for the synthesis of four-bar linkages includes and a condition for the pressure angle, whereupon is uniquely defined the kinematic diagram of the mechanism. Of the pressure angle, the reactions of the forces in the kinematic pairs and the force sizing of the mechanism depend. The model would facilitate the engineers in the synthesis of four-bar linkages by generating a function approximating a given function in the vicinity of a given position, where the two functions have four infinitely close common points (3rd-order approximation). An example of the synthesis of a four-bar linkage illustrates the application of the model, which is linear - it includes only equations of straight lines written in Cartesian coordinates, which is why it is convenient for computer calculations.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83720166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohamed EL-SAYED M. SAKR, Mohamed A. MOUSTAFA HASSAN
Satellite tracking control system is mechanism that redirects the parabolic antenna to the chosen satellite automatically. It perfectly tracks the satellite as it spins across the sky in its orbit. To maintain a continuous communication signal throughout multiple satellite tracking missions, the tracking process must be fast and smooth, with minimal deviations from the target position. Various controller models have been presented over time to address the problem of antenna positioning in satellite systems and to track moveable targets using servomechanism. The purpose of this study is to describe and debate a satellite tracking control system based on a DC servo motor. For optimal tuning of Proportional-Integral-Derivative (PID), Fractional Order PID (FOPID) and Variable Coefficient Fractional Order PID (V-FOPID) controllers that were used in satellite control system, Particle Swarm Optimization (PSO), Gravitational Search Algorithm with Particle Swarm Optimization (GSA-PSO) and Eagle Strategy with Particle Swarm Optimization (ES-PSO) techniques were proposed. Dynamic Performance Indices Based Objective Functions is used to compute the Performance Index. Furthermore, Self-Tuning Fuzzy FOPID (STF-FOPID) is proposed for satellite tracking control system. The system's response is analyzed, and the outcomes of various control strategies are measured and compared to others. The obtained results implies that Variable Coefficient Fractional Order PID controller tuned using Eagle Strategy with Particle Swarm Optimization can precisely trace the desired position with the fastest settling time and free overshoot when compared to other control strategies.
{"title":"Satellite Tracking Control System Using Optimal Variable Coefficients Controllers Based on Evolutionary Optimization Techniques","authors":"Mohamed EL-SAYED M. SAKR, Mohamed A. MOUSTAFA HASSAN","doi":"10.31202/ecjse.1214722","DOIUrl":"https://doi.org/10.31202/ecjse.1214722","url":null,"abstract":"Satellite tracking control system is mechanism that redirects the parabolic antenna to the chosen satellite automatically. It perfectly tracks the satellite as it spins across the sky in its orbit. To maintain a continuous communication signal throughout multiple satellite tracking missions, the tracking process must be fast and smooth, with minimal deviations from the target position. Various controller models have been presented over time to address the problem of antenna positioning in satellite systems and to track moveable targets using servomechanism. The purpose of this study is to describe and debate a satellite tracking control system based on a DC servo motor. For optimal tuning of Proportional-Integral-Derivative (PID), Fractional Order PID (FOPID) and Variable Coefficient Fractional Order PID (V-FOPID) controllers that were used in satellite control system, Particle Swarm Optimization (PSO), Gravitational Search Algorithm with Particle Swarm Optimization (GSA-PSO) and Eagle Strategy with Particle Swarm Optimization (ES-PSO) techniques were proposed. Dynamic Performance Indices Based Objective Functions is used to compute the Performance Index. Furthermore, Self-Tuning Fuzzy FOPID (STF-FOPID) is proposed for satellite tracking control system. The system's response is analyzed, and the outcomes of various control strategies are measured and compared to others. The obtained results implies that Variable Coefficient Fractional Order PID controller tuned using Eagle Strategy with Particle Swarm Optimization can precisely trace the desired position with the fastest settling time and free overshoot when compared to other control strategies.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76363255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study includes the structure-activity relationship of active molecules that are commonly used in the treatment of convulsive seizures in epileptic diseases. Well-known epileptic active molecules studied are: Vigabatrin, Lokosamidine, Zonisamide, Oxcarbazepine, Levetiresetam, Tiagabine, Topiramate, Lamotrigin, Gabapentin, Felbamat, Ethosuximide, Valproic Acid, Mesuximide, Ethotoin, Primidon, Trimethadion, Phenytoin, Remasemide, Mephenytoin. These molecules, which were selected considering the physiopathological mechanisms of action of epileptic disease, were considered suitable for molecular docking studies since they were used as a potential antiepileptic agent. In addition, it was focused on the potassium channels, which were prominent in the mechanisms of epilepsy. During the action potential that triggers seizure formation, inward rectifying potassium channels (KIR3.2) make a important role providing the flow of K+ ions. Thus, PDB ID: 4KFM receptor was chosen for molecular docking study, since its act as an agonist according to its activity on the canal in the case of epileptic seizures formation. The result of molecular docking analysis demonstrated that Phenytoin gave the best binding affinity for 4KFM with a value of -6.2 kcal/mol. Other analysis in descending order (as kcal/mol); Oxcarbazepine (-6,0), Remasemide (-5.9), Topiramate and Primidon (-5.8), Tiagabine, Felbamat and Mesuximide (-5.7), Lamotrigin (-5.6) Zonisamide, Ethotoin and Mephenytoin, Lokosamidine (-5.5), Gabapentin (-4.8), Trimethadion (-4.7), Ethosuximide (-4.6), Levetiresetam (-4.5), Vigabatrin (-4.0), Valproic Acid (-3.9) determined as.
{"title":"K+ Channels and Some Familiar Antiepileptic Drugs: Evaluation of Their the Structure-Activity Relationships with Molecular Docking Analysis","authors":"Esra Nur Çakmak, M. Gür, B. Kiran","doi":"10.31202/ecjse.1213826","DOIUrl":"https://doi.org/10.31202/ecjse.1213826","url":null,"abstract":"This study includes the structure-activity relationship of active molecules that are commonly used in the treatment of convulsive seizures in epileptic diseases. Well-known epileptic active molecules studied are: Vigabatrin, Lokosamidine, Zonisamide, Oxcarbazepine, Levetiresetam, Tiagabine, Topiramate, Lamotrigin, Gabapentin, Felbamat, Ethosuximide, Valproic Acid, Mesuximide, Ethotoin, Primidon, Trimethadion, Phenytoin, Remasemide, Mephenytoin. These molecules, which were selected considering the physiopathological mechanisms of action of epileptic disease, were considered suitable for molecular docking studies since they were used as a potential antiepileptic agent. In addition, it was focused on the potassium channels, which were prominent in the mechanisms of epilepsy. During the action potential that triggers seizure formation, inward rectifying potassium channels (KIR3.2) make a important role providing the flow of K+ ions. \u0000Thus, PDB ID: 4KFM receptor was chosen for molecular docking study, since its act as an agonist according to its activity on the canal in the case of epileptic seizures formation. The result of molecular docking analysis demonstrated that Phenytoin gave the best binding affinity for 4KFM with a value of -6.2 kcal/mol. Other analysis in descending order (as kcal/mol); Oxcarbazepine (-6,0), Remasemide (-5.9), Topiramate and Primidon (-5.8), Tiagabine, Felbamat and Mesuximide (-5.7), Lamotrigin (-5.6) Zonisamide, Ethotoin and Mephenytoin, Lokosamidine (-5.5), Gabapentin (-4.8), Trimethadion (-4.7), Ethosuximide (-4.6), Levetiresetam (-4.5), Vigabatrin (-4.0), Valproic Acid (-3.9) determined as.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81684605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohd Firdaus MOHD AB HALİM, Erwan Sulaiman, Azhan ABD RAHMAN
The design on magnetic gear (MG) involves determining the gear ratio specific to its application. The gear ratio can be determined by the pole number of the inner rotor, outer rotor and the pole piece. In this research, the cogging torque of several pole pair combinations in concentric magnetic gear (CMG) and rotating pole piece magnetic gear (RPMG) were investigated. The gear ratio equations were initially derived for both CMG and RPMG. Based on these equations, four sets of pole pair combinations were determined. The cogging factor was calculated in each combination. To determine the cogging factor significance towards the cogging torque, the magnetic gears were simulated in 2D finite element software. The result revealed that the lower pole pair combination generates lower cogging torque than the higher pole pair combination. The simulation result also shows that the rate of increase in cogging factor did not correlate directly to the cogging torque in the simulation. It is concluded that the cogging factor is not a suitable tool to access the cogging torque level in CMG and RPMG.
{"title":"Birkaç kutup çifti kombinasyonunda CMG ve RPMG'nin dişli faktörünün araştırılması","authors":"Mohd Firdaus MOHD AB HALİM, Erwan Sulaiman, Azhan ABD RAHMAN","doi":"10.31202/ecjse.1131661","DOIUrl":"https://doi.org/10.31202/ecjse.1131661","url":null,"abstract":"The design on magnetic gear (MG) involves determining the gear ratio specific to its application. The gear ratio can be determined by the pole number of the inner rotor, outer rotor and the pole piece. In this research, the cogging torque of several pole pair combinations in concentric magnetic gear (CMG) and rotating pole piece magnetic gear (RPMG) were investigated. The gear ratio equations were initially derived for both CMG and RPMG. Based on these equations, four sets of pole pair combinations were determined. The cogging factor was calculated in each combination. To determine the cogging factor significance towards the cogging torque, the magnetic gears were simulated in 2D finite element software. The result revealed that the lower pole pair combination generates lower cogging torque than the higher pole pair combination. The simulation result also shows that the rate of increase in cogging factor did not correlate directly to the cogging torque in the simulation. It is concluded that the cogging factor is not a suitable tool to access the cogging torque level in CMG and RPMG.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83231651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Self-Compacting concrete (SCC) is one of the most important technological developments in the construction material. Its use has increased significantly in recent years in the construction industry due to its high properties. though, the performance of fire-affected elements made of SCC mixture is primarily unknown. In this work, beams were produced of (SCC) in laboratory, and exposed to external fire at several reference time (30/60/90/120)min with two methods of cooling (subjectively, water), where three levels of response were selected and evaluated (thermal transferring progress, Spalling, surface microstructure), the results revealed that the damaged in the service loaded beam is interesting, corresponds to the characteristics of the cracks formed in the concrete section on bending zone which was photographically documented, and the progress of thermal transferring has a large values during (5-20) min in heating stage, and takes varies values (10-30%) at beam height where the curve been closer to linear.
{"title":"The Thermal Effects on the Self-Compacting Concrete Beams Exposed to the Fire","authors":"Ammar Tawashi̇","doi":"10.31202/ecjse.1209551","DOIUrl":"https://doi.org/10.31202/ecjse.1209551","url":null,"abstract":"Self-Compacting concrete (SCC) is one of the most important technological developments in the construction material. Its use has increased significantly in recent years in the construction industry due to its high properties. though, the performance of fire-affected elements made of SCC mixture is primarily unknown. In this work, beams were produced of (SCC) in laboratory, and exposed to external fire at several reference time (30/60/90/120)min with two methods of cooling (subjectively, water), where three levels of response were selected and evaluated (thermal transferring progress, Spalling, surface microstructure), the results revealed that the damaged in the service loaded beam is interesting, corresponds to the characteristics of the cracks formed in the concrete section on bending zone which was photographically documented, and the progress of thermal transferring has a large values during (5-20) min in heating stage, and takes varies values (10-30%) at beam height where the curve been closer to linear.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85740513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Venkata Subbarao M., Challa Ram G., Ramesh Varma D., G. D., Prema Kumar M.
The use of sensitive electrical gadgets in industries, buildings, smart cities, and homes has increased drastically in recent years. PQ events such as interruptions, surges, and sags have a high impact on these sensitive devices. The failure of these delicate devices in real-time applications, particularly smart applications, may result in significant damage. The supply quality decreases because of the failure of internal transmission system elements, unbalanced loads, and other outdoor issues such as like weather. Several academics have proposed techniques to analyze these PQ disturbances, including wavelet packets, S-transform, rough sets and neural networks. In all the available algorithms, the classification procedure involves the extraction of a large set of features from the transformed outputs, training the classifier, and finally making a conclusion with the classifier. Because of the involvement of a large number of features, the computational cost of all these methods increases. To reduce complexity and enhance classification efficiency, the proposed method focuses on extracting fewer low-complexity wavelet features from signals. Pattern recognition (PR) methods, such as the wide variety of K-nearest neighbors (KNN) and ensemble classifiers, are used to classify PQ events in this study. The performance of the proposed ML approaches' performance is evaluated at various training and testing rates. Subsequently, the performance of the proposed strategies was compared to that of the current methods to determine the dominance of the proposed approaches.
{"title":"Automatic Fault Detection in Industrial Smart Grids Using KNN and Ensemble Classifiers","authors":"Venkata Subbarao M., Challa Ram G., Ramesh Varma D., G. D., Prema Kumar M.","doi":"10.31202/ecjse.1162586","DOIUrl":"https://doi.org/10.31202/ecjse.1162586","url":null,"abstract":"The use of sensitive electrical gadgets in industries, buildings, smart cities, and homes has increased drastically in recent years. PQ events such as interruptions, surges, and sags have a high impact on these sensitive devices. The failure of these delicate devices in real-time applications, particularly smart applications, may result in significant damage. The supply quality decreases because of the failure of internal transmission system elements, unbalanced loads, and other outdoor issues such as like weather. Several academics have proposed techniques to analyze these PQ disturbances, including wavelet packets, S-transform, rough sets and neural networks. In all the available algorithms, the classification procedure involves the extraction of a large set of features from the transformed outputs, training the classifier, and finally making a conclusion with the classifier. Because of the involvement of a large number of features, the computational cost of all these methods increases. To reduce complexity and enhance classification efficiency, the proposed method focuses on extracting fewer low-complexity wavelet features from signals. Pattern recognition (PR) methods, such as the wide variety of K-nearest neighbors (KNN) and ensemble classifiers, are used to classify PQ events in this study. The performance of the proposed ML approaches' performance is evaluated at various training and testing rates. Subsequently, the performance of the proposed strategies was compared to that of the current methods to determine the dominance of the proposed approaches.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86433767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy demand is increasing rapidly all over the world. It is seen that the fossil fuel reserves, which are used extensively to meet the energy needs of the world, will not be enough to meet the necessary energy needs in the future. Countries that have not been able to solve their energy problem have started to seek new ways such as finding new energy sources and developing energy technology. Biogas can be thought of as a type of energy that can be obtained through many different sources. One of them is animal manure, which consists of organic matter. The livestock sector has strategic importance in Turkey in terms of economic and social aspects such as adequate and balanced nutrition for the population, the realization of rural development, and the prevention of rural-urban migration by reducing agricultural unemployment. In this study, the biogas potential that can be obtained from animal manure was examined according to the animal data of the Turkish Statistical Institute for 2020 in different categories throughout the province of Afyonkarahisar, Turkey. The conversion of the obtained biogas potential to other energy sources has been evaluated and it has been determined how much economic benefit can be obtained from each energy source. In addition, the carbon emissions of the province originating from animal husbandry were analyzed theoretically.
{"title":"Biogas Potential of Afyonkarahisar, Turkey-based on Animal Manure: Energy Equivalents and its Contribution to Economy and Carbon Emissions","authors":"K. Kumaş, A. Akyüz","doi":"10.31202/ecjse.1219728","DOIUrl":"https://doi.org/10.31202/ecjse.1219728","url":null,"abstract":"Energy demand is increasing rapidly all over the world. It is seen that the fossil fuel reserves, which are used extensively to meet the energy needs of the world, will not be enough to meet the necessary energy needs in the future. Countries that have not been able to solve their energy problem have started to seek new ways such as finding new energy sources and developing energy technology. Biogas can be thought of as a type of energy that can be obtained through many different sources. One of them is animal manure, which consists of organic matter. The livestock sector has strategic importance in Turkey in terms of economic and social aspects such as adequate and balanced nutrition for the population, the realization of rural development, and the prevention of rural-urban migration by reducing agricultural unemployment. In this study, the biogas potential that can be obtained from animal manure was examined according to the animal data of the Turkish Statistical Institute for 2020 in different categories throughout the province of Afyonkarahisar, Turkey. The conversion of the obtained biogas potential to other energy sources has been evaluated and it has been determined how much economic benefit can be obtained from each energy source. In addition, the carbon emissions of the province originating from animal husbandry were analyzed theoretically.","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77595270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Uma Maheswari K, K. Balasubramanian, Dhanu Aravinth K, Karthik V, Padmanaban V K
In this technologically evolving era, security plays a significant role in preventing different assets and crimes. This inconsistency developed an innovative idea to improve the level and solve the existing problems. This paper proposes a well-suited multilayer security system for homes, bank lockers, and more locations we can use it. Traditionally, password and biometric double-layer security systems use everywhere, but this embedded solution combines RFID, OTP, and fingerprint identification in sequence. Essential modules are connected and controlled through a microcontroller with a GSM module. Every operation done by the system pushes to the IoT cloud, and the mobile application shows the status of every action. The right authorized access can let the magnetic switch open, and every unauthorized access turns on the alarm with appropriate message notifications. The Proposed system is more effective and reliable due to multistage security, and it is not easy to crack with the combination of all three stages. The whole system's workings indicate by led flashes. This implementation has shown better results and a higher performance rate than existing methods
{"title":"Smart Multi Verification Based Security System","authors":"Uma Maheswari K, K. Balasubramanian, Dhanu Aravinth K, Karthik V, Padmanaban V K","doi":"10.31202/ecjse.1099817","DOIUrl":"https://doi.org/10.31202/ecjse.1099817","url":null,"abstract":"In this technologically evolving era, security plays a significant role in preventing different assets and crimes. This inconsistency developed an innovative idea to improve the level and solve the existing problems. This paper proposes a well-suited multilayer security system for homes, bank lockers, and more locations we can use it. Traditionally, password and biometric double-layer security systems use everywhere, but this embedded solution combines RFID, OTP, and fingerprint identification in sequence. Essential modules are connected and controlled through a microcontroller with a GSM module. Every operation done by the system pushes to the IoT cloud, and the mobile application shows the status of every action. The right authorized access can let the magnetic switch open, and every unauthorized access turns on the alarm with appropriate message notifications. The Proposed system is more effective and reliable due to multistage security, and it is not easy to crack with the combination of all three stages. The whole system's workings indicate by led flashes. This implementation has shown better results and a higher performance rate than existing methods","PeriodicalId":11622,"journal":{"name":"El-Cezeri Fen ve Mühendislik Dergisi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85983770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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