Prof Ayman A Aly | Taif University, Kingdom of Saudi Arabia (original) (raw)
Papers by Prof Ayman A Aly
Ain Shams Engineering Journal
Intelligent Automation & Soft Computing
The economics, infrastructure, transportation, and level of living of a country are all influence... more The economics, infrastructure, transportation, and level of living of a country are all influenced by energy. The gap between energy usage and availability is a global issue. Currently, all countries rely on fossil fuels for energy generation, and these fossil fuels are not sustainable. The hydrogen proton exchange membrane fuel cell (PEMFC) power system is both clean and efficient. The fuel delivery system and the PEMFC make up the majority of the PEMFC power system. The lack of an efficient, safe, and cost-effective hydrogen storage system is still a major barrier to its widespread use. Solid hydrogen storage has the large capacity, safety and good reversibility. As a hydrogen source system, the hydrogen supply characteristics affect the characteristics of the PEMFC at the output. In this paper, a mathematical model of a hydrogen source reactor and PEMFC based on chemical absorption/desorption of solid hydrogen storage is established, and a simulation model of a PEMFC power system coupled with solid hydrogen storage is established using MATLAB/SIMULINK software, and the hydrogen supply of the reactor is analyzed in detail. The influence of prominent factors is evaluated. The research results show that the proposed method improved the system performance. At the same time, increasing the PEMFC temperature, increasing the area of the proton exchange membrane and the oxygen supply pressure can increase the output power of the power system.
The European Physical Journal Plus
Fractals
In this study, we model the fractal-fractional system of the Computer virus problem using the Ata... more In this study, we model the fractal-fractional system of the Computer virus problem using the Atangana–Baleanu operator. Moreover, we have presented the existence and the uniqueness of the results under applying the Schauder fixed point and Banach fixed theorems. We have used the Atangana–Toufik technique to obtain the approximate solutions by choosing various values of orders. Different values of fractal-fractional orders along with different amounts of initial conditions are selected to examine the performance of the suggested numerical method on the new fractal-fractional system. Also, graphs in different dimensions are presented to exhibit the solutions, clearly.
Fractals
Since ecological systems are history-dependent, incorporating fractional calculus and especially ... more Since ecological systems are history-dependent, incorporating fractional calculus and especially variable order ones could significantly improve the emulation of these systems. Nonetheless, in the literature, no study considers ecological processes by variable-order fractional (VOF) model. This study is motivated by this issue. At first, we propose to extend a predator–prey mathematical model with VOF derivatives. The underlying assumption in the proposed model lies in considering values of fractional derivatives as time-varying functions instead of constant parameters. Some system’s dynamic features are investigated, and then the control of the proposed system is studied. To this end, a nonlinear model predictive control is offered for the VOF system. The necessary optimality and sufficient conditions for solving the nonlinear optimal control problem in the form of fractional calculus with variable-order derivative are formulated, and the controller’s design procedure is delineated...
The European Physical Journal Special Topics
Since the variable-order fractional systems show more complex characteristics and more degrees of... more Since the variable-order fractional systems show more complex characteristics and more degrees of freedom due to time-varying fractional derivatives, we introduce a variable-order fractional Hopfield-like neural network in this paper. First, the properties and dynamical behavior of the system are studied. The variable-order derivative’s effects on the system’s behavior are investigated through the Lyapunov exponents and bifurcation diagram; an emerging Feigenbaum tree of period-4 bubble is observed, which appears with the creation and annihilation of periodic orbits. A general basin of attraction for the fractional-order neural network is presented, demonstrating that its dynamical behaviors are extremely sensitive to initial conditions resulting in different periodic orbits and chaotic attractors’ coexistence. After that, an adaptive control scheme is proposed for the variable-order fractional system. Through Lyapunov theorem and Barbalat’s Lemma, the system’s convergence and stability under the proposed control scheme are proven. The main advantages of the proposed controller are its guaranteed stability, robustness against uncertainties, and simplicity. Finally, the synchronization results are presented. Numerical simulations show the excellent performance of the proposed controller for the variable-order fractional Hopfield-like neural network.
International Journal of Photoenergy
As a freely available energy source for managing long-term issues in energy crisis, solar energy ... more As a freely available energy source for managing long-term issues in energy crisis, solar energy (SE) will have to grow more to meet world’s energy demands. Maghreb countries have launched international tenders for large-scale solar power projects, confirming north African countries’ goals to become green-power leaders, by enforcing renewable energy development policies. This work is aimed at simulating and designing a SE cooler to safely store quality and tasty dates. By optimizing the storage parameters and cooling gas with less energy consumption, R152a has been confirmed as a reliable refrigerant to own high critical temperature, sufficient specific heat capacity, and potential cost-effectiveness of compression. Safe packaging in Tolga-Algeria-Dates food company can be achieved by safe cooling systems that is aimed at wide variation of energy storage and delivery requirements of the manufacturing process. The performance ratio ( P R ) and energy losses have been analyzed by usin...
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Computer Systems Science and Engineering
Communication is a significant part of being human and living in the world. Diverse kinds of lang... more Communication is a significant part of being human and living in the world. Diverse kinds of languages and their variations are there; thus, one person can speak any language and cannot effectively communicate with one who speaks that language in a different accent. Numerous application fields such as education, mobility, smart systems, security, and health care systems utilize the speech or voice recognition models abundantly. Though, various studies are focused on the Arabic or Asian and English languages by ignoring other significant languages like Marathi that leads to the broader research motivations in regional languages. It is necessary to understand the speech recognition field, in which the major concentrated stages are feature extraction and classification. This paper emphasis developing a Speech Recognition model for the Marathi language by optimizing Recurrent Neural Network (RNN). Here, the preprocessing of the input signal is performed by smoothing and median filtering. After preprocessing the feature extraction is carried out using MFCC and Spectral features to get precise features from the input Marathi Speech corpus. The optimized RNN classifier is used for speech recognition after completing the feature extraction task, where the optimization of hidden neurons in RNN is performed by the Grasshopper Optimization Algorithm (GOA). Finally, the comparison with the conventional techniques has shown that the proposed model outperforms most competing models on a benchmark dataset.
Inorganic and Nano-Metal Chemistry, 2021
Electronics, 2021
This article deals with the application of differential geometry to the array manifolds of non-un... more This article deals with the application of differential geometry to the array manifolds of non-uniform linear antenna array (NULA) when estimating the direction of arrival (DOA) of multiple sources present in an environment using far field approximation. In order to resolve this issue, we utilized a doublet linear antenna array (DLA) comprising two individual NULAs, along with a proposed algorithm that chooses correct directions of the impinging sources with the help of the prior knowledge of the ambiguous directions calculated with the application of differential geometry to the manifold curves of each NULA. The algorithm checks the correlation of the estimated direction of arrival (DOAs) by both the individual NULA with its corresponding ambiguous set of directions and chooses the output of the NULA, which has a minimum correlation between their estimated DOAs and corresponding ambiguous DOAs. DLA is designed such that the intersection of all the ambiguous set of DOAs among the in...
Computers, Materials & Continua, 2022
The Internet of Things (IoT) has allowed for significant advancements in applications not only in... more The Internet of Things (IoT) has allowed for significant advancements in applications not only in the home, business, and environment, but also in factory automation. Industrial Internet of Things (IIoT) brings all of the benefits of the IoT to industrial contexts, allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and autonomy. The expansion of the IoT has been set by serious security threats and obstacles, and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control. A privacypreserving multi-dimensional secure query technique for fog-enhanced IIoT was proposed in light of the fact that most existing range query schemes for fog-enhanced IoT cannot provide both multi-dimensional query and privacy protection. The query matrix was then decomposed using auxiliary vectors, and the auxiliary vector was then processed using BGN homomorphic encryption to create a query trapdoor. Finally, the query trapdoor may be matched to its sensor data using the homomorphic computation used by an IoT device terminal. With the application of particular auxiliary vectors, the spatial complexity might be efficiently decreased. The homomorphic encryption property might ensure the security of sensor data and safeguard the privacy of the user's inquiry mode. The results of the experiments reveal that the computing and communication expenses are modest.
Computers, Materials & Continua, 2022
The application of the guided missile seeker is to provide stability to the sensor's line of sigh... more The application of the guided missile seeker is to provide stability to the sensor's line of sight toward a target by isolating it from the missile motion and vibration. The main objective of this paper is not only to present the physical modeling of two axes gimbal system but also to improve its performance through using fuzzy logic controlling approach. The paper is started by deriving the mathematical model for gimbals motion using Newton's second law, followed by designing the mechanical parts of model using SOLIDWORKS and converted to xml file to connect dc motors and sensors using MATLAB/SimMechanics. Then, a Mamdani-type fuzzy and a Proportional-Integral-Derivative (PID) controllers were designed using MATLAB software. The performance of both controllers was evaluated and tested for different types of input shapes. The simulation results showed that self-tuning fuzzy controller provides better performance, since no overshoot, small steady-state error and small settling time compared to PID controller.
The European Physical Journal Special Topics, 2022
A new coronavirus mathematical with hospitalization is considered with the consideration of the r... more A new coronavirus mathematical with hospitalization is considered with the consideration of the real cases from March 06, 2021 till the end of April 30, 2021. The essential mathematical results for the model are presented. We show the model stability when R0 < 1 in the absence of infection. We show that the system is stable locally asymptotically when R0 < 1 at infection free state. We also show that the system is globally asymptotically stable in the disease absence when R0 < 1. Data have been used to fit accurately to the model and found the estimated basic reproduction number to be R0 = 1.2036. Some graphical results for the effective parameters are drawn for the disease elimination. In addition, a variable-order model is introduced, and so as to handle the outbreak effectively and efficiently, a genetic algorithm is used to produce high-quality control. Numerical simulations clearly show that decision-makers may develop helpful and practical strategies to manage future waves by implementing optimum policies.
The European Physical Journal Special Topics, 2022
In this paper, the complex dynamics of a newly proposed 4D hyperchaotic Lorenz-type system are st... more In this paper, the complex dynamics of a newly proposed 4D hyperchaotic Lorenz-type system are studied. The sufficient conditions of the emergence of periodic solutions and the stability of them at bifurcation points are obtained by averaging theory. The ultimate bound estimation of this hyperchaotic system is derived using the Lyapunov stability theory and the optimization idea, and relevant numerical simulations are given. Finally, a variable-order fractional network of this new 4D hyperchaotic Lorenz-type system is introduced and investigated.
Combustion-chamber is a critical component of the propulsion engine, which is widelyused in the s... more Combustion-chamber is a critical component of the propulsion engine, which is widelyused in the space industry and aeronautics. The goal of this article is to perform a numericalanalysis on the combustion process using a liquid-type propellant. The steps that must be followeduntil total combustion is achieved are emphasized. It concerns the fuel feeding phase, its injectionand the combustion operation. The amount of combustion products and the energy generated areevaluated. It has been shown that the liquid propellant may present an efficient alternative fuelthan the kerosene. In addition, the temperature of combustion does not exceed a certain limit toavoid structural problems in the chamber. The parametric survey allowed determining the range ofthe most influence factors, including the pressure, mixture richness, velocity and flow rates ofinjection for the fuel and oxidizer. The number and type of injectors revealed a considerableinfluence on the velocity and flow rates of injecti...
In this work we establish the main cosmological parameters namely the deceleration parameter q, t... more In this work we establish the main cosmological parameters namely the deceleration parameter q, the equation of state parameter w and the diagnostic omega Om for f (R) modified gravity using Sharma-Mitall (S−M) Holographic Dark Energy model (SMHDE). Our model shows a type of stability is achieved by studying the behavior of the square speed of sound parameter which has a positive behavior over the given range. For the considered red shift z range, we study the evolution of energy conditions for our model and the growth of dark energy. The results fit the observations that the dark energy increase with time and the universe has an accelerated expansion epoch. Thermal analysis is considered through the quantum correction for power law and logarithmic entropy, consequently we study the validity of the generalized second law of thermodynamics the results show that the generalized second law of thermodynamics holds using power law corrected scenario.
In this paper, four degrees of freedom half body vehicle suspension system is shown and the road ... more In this paper, four degrees of freedom half body vehicle suspension system is shown and the road roughness intensity is modeled as a filtered white noise stochastic process. PID and Fuzzy logic techniques are used to control the suspension system. The desired objective is proposed as minimization of sprung mass acceleration, pitching acceleration, suspension travel and dynamic loads. The simulation results show that active suspension Fuzzy control with the body vertical acceleration and suspension dynamic deflection as comprehensive feedback parameters compared with PID control suspension can improve the ride comfort and driving stability in random excitation.
IEEE Access, 2021
In the era of information society and 5G networks, cars are extremely important mobile informatio... more In the era of information society and 5G networks, cars are extremely important mobile information carriers. In order to meet the needs of multi-scenario business requirements such as vehicle assisted driving and in-vehicle entertainment, cars need to interact with the outside world. This interconnection and data transmission process is usually called vehicular communication (V2X, Vehicle-to-Everything). Device-to-device (D2D) communication not only has partial nature of communication, but also alleviate the current problem of spectrum scarcity of resources. The application of D2D communication in V2X can meet the requirements of high reliability and low latency, but resource reuse also brings interference. Softwaredefined networking (SDN) provides an optimal solution for interoperability and flexibility between the V2X and D2D communication. This paper reviews the integration of D2D and V2X communication from the perspective of SDN. The state-of-the-art and architectures of D2D-V2X were discussed. The similarity, characteristics, routing control, location management, patch scheduling and recovery is described. The integrated architecture reviewed in this paper can solve the problems of routing management, interference management and mobile management. It also overcome the disconnection problem between the D2D-V2X in terms of SDN and provides some effective solutions.
Ain Shams Engineering Journal
Intelligent Automation & Soft Computing
The economics, infrastructure, transportation, and level of living of a country are all influence... more The economics, infrastructure, transportation, and level of living of a country are all influenced by energy. The gap between energy usage and availability is a global issue. Currently, all countries rely on fossil fuels for energy generation, and these fossil fuels are not sustainable. The hydrogen proton exchange membrane fuel cell (PEMFC) power system is both clean and efficient. The fuel delivery system and the PEMFC make up the majority of the PEMFC power system. The lack of an efficient, safe, and cost-effective hydrogen storage system is still a major barrier to its widespread use. Solid hydrogen storage has the large capacity, safety and good reversibility. As a hydrogen source system, the hydrogen supply characteristics affect the characteristics of the PEMFC at the output. In this paper, a mathematical model of a hydrogen source reactor and PEMFC based on chemical absorption/desorption of solid hydrogen storage is established, and a simulation model of a PEMFC power system coupled with solid hydrogen storage is established using MATLAB/SIMULINK software, and the hydrogen supply of the reactor is analyzed in detail. The influence of prominent factors is evaluated. The research results show that the proposed method improved the system performance. At the same time, increasing the PEMFC temperature, increasing the area of the proton exchange membrane and the oxygen supply pressure can increase the output power of the power system.
The European Physical Journal Plus
Fractals
In this study, we model the fractal-fractional system of the Computer virus problem using the Ata... more In this study, we model the fractal-fractional system of the Computer virus problem using the Atangana–Baleanu operator. Moreover, we have presented the existence and the uniqueness of the results under applying the Schauder fixed point and Banach fixed theorems. We have used the Atangana–Toufik technique to obtain the approximate solutions by choosing various values of orders. Different values of fractal-fractional orders along with different amounts of initial conditions are selected to examine the performance of the suggested numerical method on the new fractal-fractional system. Also, graphs in different dimensions are presented to exhibit the solutions, clearly.
Fractals
Since ecological systems are history-dependent, incorporating fractional calculus and especially ... more Since ecological systems are history-dependent, incorporating fractional calculus and especially variable order ones could significantly improve the emulation of these systems. Nonetheless, in the literature, no study considers ecological processes by variable-order fractional (VOF) model. This study is motivated by this issue. At first, we propose to extend a predator–prey mathematical model with VOF derivatives. The underlying assumption in the proposed model lies in considering values of fractional derivatives as time-varying functions instead of constant parameters. Some system’s dynamic features are investigated, and then the control of the proposed system is studied. To this end, a nonlinear model predictive control is offered for the VOF system. The necessary optimality and sufficient conditions for solving the nonlinear optimal control problem in the form of fractional calculus with variable-order derivative are formulated, and the controller’s design procedure is delineated...
The European Physical Journal Special Topics
Since the variable-order fractional systems show more complex characteristics and more degrees of... more Since the variable-order fractional systems show more complex characteristics and more degrees of freedom due to time-varying fractional derivatives, we introduce a variable-order fractional Hopfield-like neural network in this paper. First, the properties and dynamical behavior of the system are studied. The variable-order derivative’s effects on the system’s behavior are investigated through the Lyapunov exponents and bifurcation diagram; an emerging Feigenbaum tree of period-4 bubble is observed, which appears with the creation and annihilation of periodic orbits. A general basin of attraction for the fractional-order neural network is presented, demonstrating that its dynamical behaviors are extremely sensitive to initial conditions resulting in different periodic orbits and chaotic attractors’ coexistence. After that, an adaptive control scheme is proposed for the variable-order fractional system. Through Lyapunov theorem and Barbalat’s Lemma, the system’s convergence and stability under the proposed control scheme are proven. The main advantages of the proposed controller are its guaranteed stability, robustness against uncertainties, and simplicity. Finally, the synchronization results are presented. Numerical simulations show the excellent performance of the proposed controller for the variable-order fractional Hopfield-like neural network.
International Journal of Photoenergy
As a freely available energy source for managing long-term issues in energy crisis, solar energy ... more As a freely available energy source for managing long-term issues in energy crisis, solar energy (SE) will have to grow more to meet world’s energy demands. Maghreb countries have launched international tenders for large-scale solar power projects, confirming north African countries’ goals to become green-power leaders, by enforcing renewable energy development policies. This work is aimed at simulating and designing a SE cooler to safely store quality and tasty dates. By optimizing the storage parameters and cooling gas with less energy consumption, R152a has been confirmed as a reliable refrigerant to own high critical temperature, sufficient specific heat capacity, and potential cost-effectiveness of compression. Safe packaging in Tolga-Algeria-Dates food company can be achieved by safe cooling systems that is aimed at wide variation of energy storage and delivery requirements of the manufacturing process. The performance ratio ( P R ) and energy losses have been analyzed by usin...
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Computer Systems Science and Engineering
Communication is a significant part of being human and living in the world. Diverse kinds of lang... more Communication is a significant part of being human and living in the world. Diverse kinds of languages and their variations are there; thus, one person can speak any language and cannot effectively communicate with one who speaks that language in a different accent. Numerous application fields such as education, mobility, smart systems, security, and health care systems utilize the speech or voice recognition models abundantly. Though, various studies are focused on the Arabic or Asian and English languages by ignoring other significant languages like Marathi that leads to the broader research motivations in regional languages. It is necessary to understand the speech recognition field, in which the major concentrated stages are feature extraction and classification. This paper emphasis developing a Speech Recognition model for the Marathi language by optimizing Recurrent Neural Network (RNN). Here, the preprocessing of the input signal is performed by smoothing and median filtering. After preprocessing the feature extraction is carried out using MFCC and Spectral features to get precise features from the input Marathi Speech corpus. The optimized RNN classifier is used for speech recognition after completing the feature extraction task, where the optimization of hidden neurons in RNN is performed by the Grasshopper Optimization Algorithm (GOA). Finally, the comparison with the conventional techniques has shown that the proposed model outperforms most competing models on a benchmark dataset.
Inorganic and Nano-Metal Chemistry, 2021
Electronics, 2021
This article deals with the application of differential geometry to the array manifolds of non-un... more This article deals with the application of differential geometry to the array manifolds of non-uniform linear antenna array (NULA) when estimating the direction of arrival (DOA) of multiple sources present in an environment using far field approximation. In order to resolve this issue, we utilized a doublet linear antenna array (DLA) comprising two individual NULAs, along with a proposed algorithm that chooses correct directions of the impinging sources with the help of the prior knowledge of the ambiguous directions calculated with the application of differential geometry to the manifold curves of each NULA. The algorithm checks the correlation of the estimated direction of arrival (DOAs) by both the individual NULA with its corresponding ambiguous set of directions and chooses the output of the NULA, which has a minimum correlation between their estimated DOAs and corresponding ambiguous DOAs. DLA is designed such that the intersection of all the ambiguous set of DOAs among the in...
Computers, Materials & Continua, 2022
The Internet of Things (IoT) has allowed for significant advancements in applications not only in... more The Internet of Things (IoT) has allowed for significant advancements in applications not only in the home, business, and environment, but also in factory automation. Industrial Internet of Things (IIoT) brings all of the benefits of the IoT to industrial contexts, allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and autonomy. The expansion of the IoT has been set by serious security threats and obstacles, and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control. A privacypreserving multi-dimensional secure query technique for fog-enhanced IIoT was proposed in light of the fact that most existing range query schemes for fog-enhanced IoT cannot provide both multi-dimensional query and privacy protection. The query matrix was then decomposed using auxiliary vectors, and the auxiliary vector was then processed using BGN homomorphic encryption to create a query trapdoor. Finally, the query trapdoor may be matched to its sensor data using the homomorphic computation used by an IoT device terminal. With the application of particular auxiliary vectors, the spatial complexity might be efficiently decreased. The homomorphic encryption property might ensure the security of sensor data and safeguard the privacy of the user's inquiry mode. The results of the experiments reveal that the computing and communication expenses are modest.
Computers, Materials & Continua, 2022
The application of the guided missile seeker is to provide stability to the sensor's line of sigh... more The application of the guided missile seeker is to provide stability to the sensor's line of sight toward a target by isolating it from the missile motion and vibration. The main objective of this paper is not only to present the physical modeling of two axes gimbal system but also to improve its performance through using fuzzy logic controlling approach. The paper is started by deriving the mathematical model for gimbals motion using Newton's second law, followed by designing the mechanical parts of model using SOLIDWORKS and converted to xml file to connect dc motors and sensors using MATLAB/SimMechanics. Then, a Mamdani-type fuzzy and a Proportional-Integral-Derivative (PID) controllers were designed using MATLAB software. The performance of both controllers was evaluated and tested for different types of input shapes. The simulation results showed that self-tuning fuzzy controller provides better performance, since no overshoot, small steady-state error and small settling time compared to PID controller.
The European Physical Journal Special Topics, 2022
A new coronavirus mathematical with hospitalization is considered with the consideration of the r... more A new coronavirus mathematical with hospitalization is considered with the consideration of the real cases from March 06, 2021 till the end of April 30, 2021. The essential mathematical results for the model are presented. We show the model stability when R0 < 1 in the absence of infection. We show that the system is stable locally asymptotically when R0 < 1 at infection free state. We also show that the system is globally asymptotically stable in the disease absence when R0 < 1. Data have been used to fit accurately to the model and found the estimated basic reproduction number to be R0 = 1.2036. Some graphical results for the effective parameters are drawn for the disease elimination. In addition, a variable-order model is introduced, and so as to handle the outbreak effectively and efficiently, a genetic algorithm is used to produce high-quality control. Numerical simulations clearly show that decision-makers may develop helpful and practical strategies to manage future waves by implementing optimum policies.
The European Physical Journal Special Topics, 2022
In this paper, the complex dynamics of a newly proposed 4D hyperchaotic Lorenz-type system are st... more In this paper, the complex dynamics of a newly proposed 4D hyperchaotic Lorenz-type system are studied. The sufficient conditions of the emergence of periodic solutions and the stability of them at bifurcation points are obtained by averaging theory. The ultimate bound estimation of this hyperchaotic system is derived using the Lyapunov stability theory and the optimization idea, and relevant numerical simulations are given. Finally, a variable-order fractional network of this new 4D hyperchaotic Lorenz-type system is introduced and investigated.
Combustion-chamber is a critical component of the propulsion engine, which is widelyused in the s... more Combustion-chamber is a critical component of the propulsion engine, which is widelyused in the space industry and aeronautics. The goal of this article is to perform a numericalanalysis on the combustion process using a liquid-type propellant. The steps that must be followeduntil total combustion is achieved are emphasized. It concerns the fuel feeding phase, its injectionand the combustion operation. The amount of combustion products and the energy generated areevaluated. It has been shown that the liquid propellant may present an efficient alternative fuelthan the kerosene. In addition, the temperature of combustion does not exceed a certain limit toavoid structural problems in the chamber. The parametric survey allowed determining the range ofthe most influence factors, including the pressure, mixture richness, velocity and flow rates ofinjection for the fuel and oxidizer. The number and type of injectors revealed a considerableinfluence on the velocity and flow rates of injecti...
In this work we establish the main cosmological parameters namely the deceleration parameter q, t... more In this work we establish the main cosmological parameters namely the deceleration parameter q, the equation of state parameter w and the diagnostic omega Om for f (R) modified gravity using Sharma-Mitall (S−M) Holographic Dark Energy model (SMHDE). Our model shows a type of stability is achieved by studying the behavior of the square speed of sound parameter which has a positive behavior over the given range. For the considered red shift z range, we study the evolution of energy conditions for our model and the growth of dark energy. The results fit the observations that the dark energy increase with time and the universe has an accelerated expansion epoch. Thermal analysis is considered through the quantum correction for power law and logarithmic entropy, consequently we study the validity of the generalized second law of thermodynamics the results show that the generalized second law of thermodynamics holds using power law corrected scenario.
In this paper, four degrees of freedom half body vehicle suspension system is shown and the road ... more In this paper, four degrees of freedom half body vehicle suspension system is shown and the road roughness intensity is modeled as a filtered white noise stochastic process. PID and Fuzzy logic techniques are used to control the suspension system. The desired objective is proposed as minimization of sprung mass acceleration, pitching acceleration, suspension travel and dynamic loads. The simulation results show that active suspension Fuzzy control with the body vertical acceleration and suspension dynamic deflection as comprehensive feedback parameters compared with PID control suspension can improve the ride comfort and driving stability in random excitation.
IEEE Access, 2021
In the era of information society and 5G networks, cars are extremely important mobile informatio... more In the era of information society and 5G networks, cars are extremely important mobile information carriers. In order to meet the needs of multi-scenario business requirements such as vehicle assisted driving and in-vehicle entertainment, cars need to interact with the outside world. This interconnection and data transmission process is usually called vehicular communication (V2X, Vehicle-to-Everything). Device-to-device (D2D) communication not only has partial nature of communication, but also alleviate the current problem of spectrum scarcity of resources. The application of D2D communication in V2X can meet the requirements of high reliability and low latency, but resource reuse also brings interference. Softwaredefined networking (SDN) provides an optimal solution for interoperability and flexibility between the V2X and D2D communication. This paper reviews the integration of D2D and V2X communication from the perspective of SDN. The state-of-the-art and architectures of D2D-V2X were discussed. The similarity, characteristics, routing control, location management, patch scheduling and recovery is described. The integrated architecture reviewed in this paper can solve the problems of routing management, interference management and mobile management. It also overcome the disconnection problem between the D2D-V2X in terms of SDN and provides some effective solutions.