Pub Date : 2023-06-30DOI: 10.15866/iremos.v16i3.23440
Saqer S. Alja’Afreh
The utilization of loop antenna structures for 5G smartphone applications, particularly for sub-6 GHz frequency bands, is a major point of focus in antenna design. Due to its superior resistance to detuning, the loop antenna is a promising option for metal-rimmed smartphones. This study aims to compare the performance of shorted-loop antennas utilizing different feeding techniques, such as direct and indirect feeds. The loop antenna is specifically designed for 3.5 GHz, a sub-6 GHz 5G band, and is evaluated based on factors such as antenna size, impedance bandwidth, radiation efficiency, and mutual coupling levels. The findings indicate that indirect feeds, such as the edge-coupled capacitive feed, offer the best performance with a broad impedance bandwidth, exceptional resonance, high radiation efficiency, and minimal mutual coupling.
{"title":"A Comparative Study of Different Feeding Schemes on the Performance of Shorted-Loop Antenna for Wireless Applications","authors":"Saqer S. Alja’Afreh","doi":"10.15866/iremos.v16i3.23440","DOIUrl":"https://doi.org/10.15866/iremos.v16i3.23440","url":null,"abstract":"The utilization of loop antenna structures for 5G smartphone applications, particularly for sub-6 GHz frequency bands, is a major point of focus in antenna design. Due to its superior resistance to detuning, the loop antenna is a promising option for metal-rimmed smartphones. This study aims to compare the performance of shorted-loop antennas utilizing different feeding techniques, such as direct and indirect feeds. The loop antenna is specifically designed for 3.5 GHz, a sub-6 GHz 5G band, and is evaluated based on factors such as antenna size, impedance bandwidth, radiation efficiency, and mutual coupling levels. The findings indicate that indirect feeds, such as the edge-coupled capacitive feed, offer the best performance with a broad impedance bandwidth, exceptional resonance, high radiation efficiency, and minimal mutual coupling.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136300801","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}
Pub Date : 2023-06-30DOI: 10.15866/iremos.v16i3.22739
Samer H. Zyoud, Ahed H. Zyoud
This study investigates the effect of using SnO2 as a window layer in a heterojunction Mo/ZnTe/ZnSe/SnO2 thin film-solar cell, which, when compared to other absorber layer materials, has the potential to be used in solar photovoltaic applications due to its low cost, non-toxic nature, and ease of availability. The research has aimed to compare the impact of SnO2 with ZnO, which has been previously used as a window layer. Numerical modeling using the Solar Cell Capacitance Simulator (SCAPS-1D) has been conducted to analyze the effect of temperature and defects in the thin-film layers on the overall performance of the solar cell. Efficiency parameters such as short-circuit current density JSC, open-circuit voltage VOC, fill factor FF, and efficiency η, have been found to be influenced by temperature, and the effect of defects between the layers was analyzed. The optimal operating temperature for the solar cell with SnO2 as a window layer has been found to be 375 K, which has not required cooling to maintain cell efficiency, unlike the optimal operating temperature of 300 K for the solar cell with ZnO as a window layer. The simulation results have showed that using SnO2 as a window layer is advantageous due to the higher optimal operating temperature and the absence of the need for cooling to maintain cell efficiency. The study highlights the significance of quality control during fabrication in order to minimize defects and enhance the efficiency of the solar cell.
{"title":"Investigating the Impact of Temperature and Interlayer Defects on the Efficiency of Mo/ZnTe/ZnSe/SnO2 Heterojunction Thin Film Solar Cells: a SCAPS-1D Simulation Study","authors":"Samer H. Zyoud, Ahed H. Zyoud","doi":"10.15866/iremos.v16i3.22739","DOIUrl":"https://doi.org/10.15866/iremos.v16i3.22739","url":null,"abstract":"This study investigates the effect of using SnO2 as a window layer in a heterojunction Mo/ZnTe/ZnSe/SnO2 thin film-solar cell, which, when compared to other absorber layer materials, has the potential to be used in solar photovoltaic applications due to its low cost, non-toxic nature, and ease of availability. The research has aimed to compare the impact of SnO2 with ZnO, which has been previously used as a window layer. Numerical modeling using the Solar Cell Capacitance Simulator (SCAPS-1D) has been conducted to analyze the effect of temperature and defects in the thin-film layers on the overall performance of the solar cell. Efficiency parameters such as short-circuit current density JSC, open-circuit voltage VOC, fill factor FF, and efficiency η, have been found to be influenced by temperature, and the effect of defects between the layers was analyzed. The optimal operating temperature for the solar cell with SnO2 as a window layer has been found to be 375 K, which has not required cooling to maintain cell efficiency, unlike the optimal operating temperature of 300 K for the solar cell with ZnO as a window layer. The simulation results have showed that using SnO2 as a window layer is advantageous due to the higher optimal operating temperature and the absence of the need for cooling to maintain cell efficiency. The study highlights the significance of quality control during fabrication in order to minimize defects and enhance the efficiency of the solar cell.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136300798","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}
Pub Date : 2023-06-30DOI: 10.15866/iremos.v16i3.22976
Ala’a Bataineh, Wafa Batayneh, Ibtesam Alomari
In this paper a comparative study between hybrid and distance learning techniques is developed. The research presented herein has been conducted to identify the impacts of both hybrid learning and distance learning techniques on engineering students by considering one of the core undergraduate level courses in Mechanical Engineering, namely automatic control at a large public university in Jordan. The experiment has featured classroom data collection from students by using a questionnaire throughout two semesters. The first semester has adopted the distance learning technique, while the second semester has adopted the hybrid learning technique for the same course, with 34, and 31 students participated in the questioner, respectively. A statistical analysis for the data collected from students referring to the level of satisfaction for the way the material has been delivered to them, has been conducted to perform a comparison between the two approaches. A strength of this study is that the questioner data have been collected at key points throughout the COVID-19 pandemic and when lockdown has been forced by the government and the distance learning has been the only choice, and when the hybrid learning has been permitted in the second semester, allowing understanding and being able to distinguish between the hybrid and distance learning techniques from the students’ perspective. Results shows that the majority of the students have recommended the hybrid learning over the distance learning for this course. They have emphasized on the many advantages of such learning technique. The majority has also agreed on the many disadvantages of the distance learning technique for such engineering course. By combining these insights, recommendations for universities, including further improvement of the hybrid learning for engineering education, and most importantly, the fact that distance learning for engineering education has many disadvantages, have been made. Based on the study developed, this learning technique is not recommended for engineering education.
{"title":"Hybrid Versus Distance Learning Choice for Engineering Students: a Statistical Analysis Case Study of Undergraduate-Level Mechanical Engineering Course","authors":"Ala’a Bataineh, Wafa Batayneh, Ibtesam Alomari","doi":"10.15866/iremos.v16i3.22976","DOIUrl":"https://doi.org/10.15866/iremos.v16i3.22976","url":null,"abstract":"In this paper a comparative study between hybrid and distance learning techniques is developed. The research presented herein has been conducted to identify the impacts of both hybrid learning and distance learning techniques on engineering students by considering one of the core undergraduate level courses in Mechanical Engineering, namely automatic control at a large public university in Jordan. The experiment has featured classroom data collection from students by using a questionnaire throughout two semesters. The first semester has adopted the distance learning technique, while the second semester has adopted the hybrid learning technique for the same course, with 34, and 31 students participated in the questioner, respectively. A statistical analysis for the data collected from students referring to the level of satisfaction for the way the material has been delivered to them, has been conducted to perform a comparison between the two approaches. A strength of this study is that the questioner data have been collected at key points throughout the COVID-19 pandemic and when lockdown has been forced by the government and the distance learning has been the only choice, and when the hybrid learning has been permitted in the second semester, allowing understanding and being able to distinguish between the hybrid and distance learning techniques from the students’ perspective. Results shows that the majority of the students have recommended the hybrid learning over the distance learning for this course. They have emphasized on the many advantages of such learning technique. The majority has also agreed on the many disadvantages of the distance learning technique for such engineering course. By combining these insights, recommendations for universities, including further improvement of the hybrid learning for engineering education, and most importantly, the fact that distance learning for engineering education has many disadvantages, have been made. Based on the study developed, this learning technique is not recommended for engineering education.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136301021","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}
The quality control of bonded structures is very important and decisive in the industry, especially in the aeronautics and automotive industries. In this paper, a non-destructive method is proposed in order to evaluate the bonding quality for a three-layer structure such as Plexiglas/Adhesive/Aluminum by using ultrasound. The transmission of tensile and shear stresses through the interfaces of the adhesive layer is different. Indeed, the external stresses on the Aluminum and Plexiglas sheets are generally different. In addition, the high thermal loads on the two sides of the bonded structure are also different. Therefore, the evolution of the bonding forces across the two adherent/adhesive joints is not necessarily symmetrical. In this work, the study of the symmetry and the dissymmetry of the bonding quality across the joints of the structure has been carried out. The analysis of the behavior of the reflection coefficient of this structure subjected to a beam of ultrasound has allowed distinguishing the different qualities of bonding (perfect, medium or weak) of the two joints of the structure. This work has allowed determining the effective criteria to evaluate the normal rigidities through the bonding joints. These criteria are based on the depths of the resonant modes of the plates forming the structure. The results of the simulations performed on the quality control of the bonding interfaces allow the evaluation of the normal rigidities at the joints.
{"title":"Ultrasonic Based Testing Method for the Symmetry and Dissymmetry Analysis of the Bonding Quality of a Three-Layer Bonded Structure","authors":"Brahim Irissi, Idris Aboudaoud, Driss Izbaim, El Houssaine Ouacha, Hicham Lotfi, Bouazza Faiz","doi":"10.15866/iremos.v16i3.23558","DOIUrl":"https://doi.org/10.15866/iremos.v16i3.23558","url":null,"abstract":"The quality control of bonded structures is very important and decisive in the industry, especially in the aeronautics and automotive industries. In this paper, a non-destructive method is proposed in order to evaluate the bonding quality for a three-layer structure such as Plexiglas/Adhesive/Aluminum by using ultrasound. The transmission of tensile and shear stresses through the interfaces of the adhesive layer is different. Indeed, the external stresses on the Aluminum and Plexiglas sheets are generally different. In addition, the high thermal loads on the two sides of the bonded structure are also different. Therefore, the evolution of the bonding forces across the two adherent/adhesive joints is not necessarily symmetrical. In this work, the study of the symmetry and the dissymmetry of the bonding quality across the joints of the structure has been carried out. The analysis of the behavior of the reflection coefficient of this structure subjected to a beam of ultrasound has allowed distinguishing the different qualities of bonding (perfect, medium or weak) of the two joints of the structure. This work has allowed determining the effective criteria to evaluate the normal rigidities through the bonding joints. These criteria are based on the depths of the resonant modes of the plates forming the structure. The results of the simulations performed on the quality control of the bonding interfaces allow the evaluation of the normal rigidities at the joints.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136301022","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}
The current investigation is carried out by constructing a numerical model to analyze a hybrid PV-TEG system. The model considers the influence of temperature on the thermoelectric properties of construction materials used in thermoelectric generators. For the development of the study, variables such as solar concentration, environmental factors and convective heat transfer coefficient, environmental mitigation, and economic savings in the hybrid PV-TEG system are evaluated. The results obtained demonstrate an increase of 4.65% in the efficiency of the hybrid PV-TEG system due to the improvement in the solar concentration ratio. Increased ambient temperatures can cause a 1.74% reduction in system efficiency. However, the increase in wind speed allows an increase of 4.39%. The higher convective heat transfer coefficient favors the performance of the hybrid PV-TEG system. Implementing this type of technology can lead to reductions in CO2 emissions by 0.45 kg/h and a decrease in economic costs by 0.024 USD/h. In general, the hybrid PV-TEG system is considered a strategy for the carbon-free energy transition.
{"title":"Evaluation Through Numerical Modeling of the Performance and Economic Parameters in a Hybrid System with a Photovoltaic Cell and Thermoelectric Generator","authors":"Jhan Piero Rojas Suárez, Arles Ortega, Mawency Vergel Ortega","doi":"10.15866/iremos.v16i3.22977","DOIUrl":"https://doi.org/10.15866/iremos.v16i3.22977","url":null,"abstract":"The current investigation is carried out by constructing a numerical model to analyze a hybrid PV-TEG system. The model considers the influence of temperature on the thermoelectric properties of construction materials used in thermoelectric generators. For the development of the study, variables such as solar concentration, environmental factors and convective heat transfer coefficient, environmental mitigation, and economic savings in the hybrid PV-TEG system are evaluated. The results obtained demonstrate an increase of 4.65% in the efficiency of the hybrid PV-TEG system due to the improvement in the solar concentration ratio. Increased ambient temperatures can cause a 1.74% reduction in system efficiency. However, the increase in wind speed allows an increase of 4.39%. The higher convective heat transfer coefficient favors the performance of the hybrid PV-TEG system. Implementing this type of technology can lead to reductions in CO2 emissions by 0.45 kg/h and a decrease in economic costs by 0.024 USD/h. In general, the hybrid PV-TEG system is considered a strategy for the carbon-free energy transition.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136300796","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}
Pub Date : 2023-06-30DOI: 10.15866/iremos.v16i3.23469
Assem Hatem Taha, Zubaidah Muataz, Muataz Hazza Faizi Al Hazza
Deadlock is a critical case in flexible manufacturing system that results from resource sharing for processing different types of parts and concurrency. It leads to less efficiency and fewer parts to be produced. Previous attempts to solve this issue focused on putting constraints in the processes flow of a simple system to avoid deadlock. Yet, this way reduces the performance of system and hence the number of final products. Besides, it does not ensure its capability in complex systems. Thus, the objective of this paper is to model and simulate complex flexible manufacturing system that has shared resources and parallel machines using timed colored petri net. It also aims to analyse the system in terms of utilization in each stage and detect the deadlock where high utilization is found. Another objective is to avoid the deadlocks that have effect on the daily production of the system. The manufacturing system was modelled and simulated using CPN tool. Then, the analysis of the simulation in CPN was performed. It showed that deadlock exists in wire straightening with 88.55%, injection trolley 3 with 86.392%, spinning machine 1_2 with 90.611% and spinning machine 1_3 with 82.311% utilization. Four boilers and mould revolution were also determined as deadlocks having 87.75% and 98.295% utilization respectively. Deadlock avoidance was then conducted through testing six plans in the manufacturing system to improve the daily production of the company to obtain 50 more poles than the current production. It was concluded that the best one is by adding another resource in wire straightening, injection trolley 3 and mould revolution stages. The simulation in CPN showed that this plan could achieve 310 poles per day, which is 22.047% increase in production. The utilization in the three deadlocks became in between 55% to 60%. This method for detecting and avoiding deadlock was validated in Delmia Quest and the simulation of improvement showed that the suggested plan would produce 309 poles per day that equals 22.134% of current production.
{"title":"Deadlock Detection and Avoidance in FMS with Shared Resources Using Timed Colored Petri Net","authors":"Assem Hatem Taha, Zubaidah Muataz, Muataz Hazza Faizi Al Hazza","doi":"10.15866/iremos.v16i3.23469","DOIUrl":"https://doi.org/10.15866/iremos.v16i3.23469","url":null,"abstract":"Deadlock is a critical case in flexible manufacturing system that results from resource sharing for processing different types of parts and concurrency. It leads to less efficiency and fewer parts to be produced. Previous attempts to solve this issue focused on putting constraints in the processes flow of a simple system to avoid deadlock. Yet, this way reduces the performance of system and hence the number of final products. Besides, it does not ensure its capability in complex systems. Thus, the objective of this paper is to model and simulate complex flexible manufacturing system that has shared resources and parallel machines using timed colored petri net. It also aims to analyse the system in terms of utilization in each stage and detect the deadlock where high utilization is found. Another objective is to avoid the deadlocks that have effect on the daily production of the system. The manufacturing system was modelled and simulated using CPN tool. Then, the analysis of the simulation in CPN was performed. It showed that deadlock exists in wire straightening with 88.55%, injection trolley 3 with 86.392%, spinning machine 1_2 with 90.611% and spinning machine 1_3 with 82.311% utilization. Four boilers and mould revolution were also determined as deadlocks having 87.75% and 98.295% utilization respectively. Deadlock avoidance was then conducted through testing six plans in the manufacturing system to improve the daily production of the company to obtain 50 more poles than the current production. It was concluded that the best one is by adding another resource in wire straightening, injection trolley 3 and mould revolution stages. The simulation in CPN showed that this plan could achieve 310 poles per day, which is 22.047% increase in production. The utilization in the three deadlocks became in between 55% to 60%. This method for detecting and avoiding deadlock was validated in Delmia Quest and the simulation of improvement showed that the suggested plan would produce 309 poles per day that equals 22.134% of current production.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136300799","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}
Pub Date : 2023-06-30DOI: 10.15866/iremos.v16i3.22527
Mohammad Ahmad Omari, Mutasem Abdelrahim
A non-linear, three-dim finite element model of the extrusion process has been created by using QForm software to simulate an aluminum extrusion and investigate the impact of various parameters on the extrusion process outcomes. The model has been used to examine the effects of inputs such as ram speed, billet temperature, and tool temperature on outputs including effective stress, tool and workpiece temperature, contact pressure, and power consumption. Additionally, an Artificial Neural Network (ANN) model has been developed to depict accurately the relationship between inputs and outputs of the extrusion process. The results have showed that the effective stress is highly affected by the temperature of both the workpiece and the tool, while the ram speed has a high impact on the tool temperature during the extrusion as well as on the contact pressure. This will lead to an increase in power consumption during the process and accelerate the wear on the dies.
{"title":"Simulation and Optimization of an Aluminum Extrusion Process Using FEM and Artificial Intelligence","authors":"Mohammad Ahmad Omari, Mutasem Abdelrahim","doi":"10.15866/iremos.v16i3.22527","DOIUrl":"https://doi.org/10.15866/iremos.v16i3.22527","url":null,"abstract":"A non-linear, three-dim finite element model of the extrusion process has been created by using QForm software to simulate an aluminum extrusion and investigate the impact of various parameters on the extrusion process outcomes. The model has been used to examine the effects of inputs such as ram speed, billet temperature, and tool temperature on outputs including effective stress, tool and workpiece temperature, contact pressure, and power consumption. Additionally, an Artificial Neural Network (ANN) model has been developed to depict accurately the relationship between inputs and outputs of the extrusion process. The results have showed that the effective stress is highly affected by the temperature of both the workpiece and the tool, while the ram speed has a high impact on the tool temperature during the extrusion as well as on the contact pressure. This will lead to an increase in power consumption during the process and accelerate the wear on the dies.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136300802","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}
Pub Date : 2023-06-30DOI: 10.15866/iremos.v16i3.23437
Monika Khatkar, Kaushal Kumar, Brijesh Kumar
One of the main aims of designing smart objects is to enhance the comfort and efficiency of living beings. The perspective of the Internet of Things (IoT) is rapidly evolving into a technology that provides smart environments. The practice of IoT in healthcare has automated the method of examining the health of patients in real-time. In any real-world smart environment that focuses on the IoT model, privacy and security are considered critical. Any Security flaws in IoT-based systems generate security threats that impact intelligent environment applications and can lead to the loss or malicious replacement of important information. As a result, Intrusion Detection Systems (IDSs) developed for IoT environments are critical for justifying security threats. Design and development of an adaptable and robust intrusion detection system for unpredictable attacks is a challenging job. Today, deep learning, classical ML classifiers, and existing ensemble libraries are widely suggested to build such smart Intrusion Detection Systems. But it is difficult to find a suitable ensemble configuration for a particular dataset and develop a vigorous solution with good accuracy and trustable solution that also explain model output, and why the model made certain decisions. This research is focused on how to construct a smart fusion intrusion detection system with deep learning and ensemble-based learning strategy for intrusion detection to enhance the security of IoT devices. This Ensemble architecture is used by integrating 4 different Bidirectional LSTM as a Base classifier with XG BOOST as a Meta classifier, while explainable AI is used for its trustworthiness and interpretability.
{"title":"Design and Analysis of Intrusion Detection System Based on Ensemble Deep Neural Network and XAI","authors":"Monika Khatkar, Kaushal Kumar, Brijesh Kumar","doi":"10.15866/iremos.v16i3.23437","DOIUrl":"https://doi.org/10.15866/iremos.v16i3.23437","url":null,"abstract":"One of the main aims of designing smart objects is to enhance the comfort and efficiency of living beings. The perspective of the Internet of Things (IoT) is rapidly evolving into a technology that provides smart environments. The practice of IoT in healthcare has automated the method of examining the health of patients in real-time. In any real-world smart environment that focuses on the IoT model, privacy and security are considered critical. Any Security flaws in IoT-based systems generate security threats that impact intelligent environment applications and can lead to the loss or malicious replacement of important information. As a result, Intrusion Detection Systems (IDSs) developed for IoT environments are critical for justifying security threats. Design and development of an adaptable and robust intrusion detection system for unpredictable attacks is a challenging job. Today, deep learning, classical ML classifiers, and existing ensemble libraries are widely suggested to build such smart Intrusion Detection Systems. But it is difficult to find a suitable ensemble configuration for a particular dataset and develop a vigorous solution with good accuracy and trustable solution that also explain model output, and why the model made certain decisions. This research is focused on how to construct a smart fusion intrusion detection system with deep learning and ensemble-based learning strategy for intrusion detection to enhance the security of IoT devices. This Ensemble architecture is used by integrating 4 different Bidirectional LSTM as a Base classifier with XG BOOST as a Meta classifier, while explainable AI is used for its trustworthiness and interpretability.","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136300803","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}
Pub Date : 2023-04-30DOI: 10.15866/iremos.v16i2.22658
I. Al Korachi, K. El Abbaoui, M. Moussaoui, A. Amahmouj
{"title":"Friction Effect on Supercritical Shallow-Water Flows in Straight-Wall Open-Channel Contraction","authors":"I. Al Korachi, K. El Abbaoui, M. Moussaoui, A. Amahmouj","doi":"10.15866/iremos.v16i2.22658","DOIUrl":"https://doi.org/10.15866/iremos.v16i2.22658","url":null,"abstract":"","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48738872","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}
Pub Date : 2023-04-30DOI: 10.15866/iremos.v16i2.23432
Mansour Khalid Hammad
{"title":"Simplifying Polynomial Functions: an Analytic Expansion Approach","authors":"Mansour Khalid Hammad","doi":"10.15866/iremos.v16i2.23432","DOIUrl":"https://doi.org/10.15866/iremos.v16i2.23432","url":null,"abstract":"","PeriodicalId":38950,"journal":{"name":"International Review on Modelling and Simulations","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45780442","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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