This paper studies stratified magnetohydrodynamic （MHD） flow of tan- gent hyperbolic nanofluid past an inclined exponentially stretching surface. The flow is subjected to velocity, thermal, and solutal boundary cond...This paper studies stratified magnetohydrodynamic （MHD） flow of tan- gent hyperbolic nanofluid past an inclined exponentially stretching surface. The flow is subjected to velocity, thermal, and solutal boundary conditions. The partial differential systems are reduced to ordinary differential systems using appropriate transformations. The reduced systems are solved for convergent series solutions. The velocity, temperature, and concentration fields are discussed for different physical parameters. The results indi- cate that the temperature and the thermal boundary layer thickness increase noticeably for large values of Brownian motion and thermophoresis effects. It is also observed that the buoyancy parameter strengthens the velocity field, showing a decreasing behavior of temperature and nanoparticle volume fraction profiles.展开更多
Much research has been devoted to examination of the financial easing policy of the European Central Bank(ECB).However,this study is one of the first to use a dynamic micro-founded model to investigate empirically the...Much research has been devoted to examination of the financial easing policy of the European Central Bank(ECB).However,this study is one of the first to use a dynamic micro-founded model to investigate empirically the impact of the ECB’s Quantitative Easing(QE)policy on consumption and investment by economic agents in Italy(households,government,firms,and the rest of the world).For this purpose,we constructed a Financial Social Accounting Matrix(FSAM)for the Italian economy for the year 2009 to calibrate a dynamic computable general equilibrium model(DCGE).This model allowed us to evaluate the direct and indirect impact of money flow on the behavior of consumption and investment.The findings of the study confirmed the positive impact of the ECB’s monetary policy on the level of investment and consumption.展开更多
Channel assignment has emerged as an essential study subject in Cognitive Radio-basedWireless Mesh Networks(CR-WMN).In an era of alarming increase in Multi-Radio Multi-Channel(MRMC)network expansion interference is de...Channel assignment has emerged as an essential study subject in Cognitive Radio-basedWireless Mesh Networks(CR-WMN).In an era of alarming increase in Multi-Radio Multi-Channel(MRMC)network expansion interference is decreased and network throughput is significantly increased when non-overlapping or partially overlapping channels are correctly integrated.Because of its ad hoc behavior,dynamic channel assignment outperforms static channel assignment.Interference reduces network throughput in the CR-WMN.As a result,there is an extensive research gap for an algorithm that dynamically distributes channels while accounting for all types of interference.This work presents a method for dynamic channel allocations using unsupervisedMachine Learning(ML)that considers both coordinated and uncoordinated interference.Unsupervised machine learning uses coordinated and non-coordinated interference for dynamic channel allocation.To determine the applicability of the proposed strategy in reducing channel interference while increasingWMNthroughput,a comparison analysis was performed.When the simulation results of our proposed algorithm are compared to those of the Routing Channel Assignment(RCA)algorithm,the throughput of our proposed algorithm has increased by 34%compared to both coordinated and non-coordinated interferences.展开更多
With continuous evolution in software industry, security is becoming very important in software projects. However, in many development methodologies, security is thought to be added in the project at later stages of t...With continuous evolution in software industry, security is becoming very important in software projects. However, in many development methodologies, security is thought to be added in the project at later stages of the development lifecycle. There are also many proposed methodologies where the security measures are considered at requirement engineering stage of the development lifecycle, but many of them still do not seem adequate for applicability due to the reason that these approaches do not provide sufficient support for mapping the security requirements to the later stages of development. So, we are in need of a software requirement engineering approach, which is not only helpful in security requirement specification at requirement engineering stage but also provides support for using the specified security requirements at later stages of development. To meet this requirement, we introduce a new method Secure and Traceable Requirement Engineering Process (STREP). This method also helps the non-security-expert requirement engineers to specify requirements in such a way that the specified requirements can be used to derive security related test cases. STREP method not only deals with security issues of the system at requirement engineering stage, but also makes the security requirements more traceable to be used at later stages of development lifecycle, and as a result, secure systems are produced that are also usable as the customer wishes.展开更多
After a large improvement in health care services, Wireless Body Area Sensor Network (WBASN) is used in different fields where health care monitoring can be done continuously and from a distance. Many selected protoco...After a large improvement in health care services, Wireless Body Area Sensor Network (WBASN) is used in different fields where health care monitoring can be done continuously and from a distance. Many selected protocols are given in literature work which can improve the performance of WBASN by focusing on delay, routing and energy efficiency. In our research, we will focus on improving throughput, network life time, and decrease end-to-delay. In given research, the two sink nodes utilized and AnyCasting concept will be used. Dual Sinks based Scheme (DSS) for WBASN will be compared with existing DARE, SIMPLE, LAEEBA and M-ATTEMPT protocols. DSS performance found more efficient than DARE, SIMPLE, LAEEBA and M-ATTEMPT respectively in throughput. From results, DSS network life time is greater than DARE, SIMPLE, LAEEBA and M-ATTEMPT with minimum delay. In DSS, energy parameter is in tradeoff with the improved parameters, because of a computation of RSSI which do more process and utilize more energy.展开更多
We present a neuro-heuristic computing platform for finding the solution for initial value problems （IVPs） of non- linear pantograph systems based on functional differential equations （P-FDEs） of different orders....We present a neuro-heuristic computing platform for finding the solution for initial value problems （IVPs） of non- linear pantograph systems based on functional differential equations （P-FDEs） of different orders. In this scheme, the strengths of feed-forward artificial neural networks （ANNs）, the evolutionary computing technique mainly based on genetic algorithms （GAs）, and the interior-point technique （IPT） are exploited. Two types of mathematical models of the systems are constructed with the help of ANNs by defining an unsupervised error with and without exactly satisfying the initial conditions. The design parameters of ANN models are optimized with a hybrid approach GA-IPT, where GA is used as a tool for effective global search, and IPT is incorporated for rapid local convergence. The proposed scheme is tested on three different types oflVPs of P-FDE with orders 1-3 The correctness of the scheme is established by comparison with the existing exact solutions. The accuracy and convergence ofthc proposed scheme are further validated through a large number of numerical experiments by taking different numbers of neurons in ANN models.展开更多
文摘This paper studies stratified magnetohydrodynamic （MHD） flow of tan- gent hyperbolic nanofluid past an inclined exponentially stretching surface. The flow is subjected to velocity, thermal, and solutal boundary conditions. The partial differential systems are reduced to ordinary differential systems using appropriate transformations. The reduced systems are solved for convergent series solutions. The velocity, temperature, and concentration fields are discussed for different physical parameters. The results indi- cate that the temperature and the thermal boundary layer thickness increase noticeably for large values of Brownian motion and thermophoresis effects. It is also observed that the buoyancy parameter strengthens the velocity field, showing a decreasing behavior of temperature and nanoparticle volume fraction profiles.
文摘Much research has been devoted to examination of the financial easing policy of the European Central Bank(ECB).However,this study is one of the first to use a dynamic micro-founded model to investigate empirically the impact of the ECB’s Quantitative Easing(QE)policy on consumption and investment by economic agents in Italy(households,government,firms,and the rest of the world).For this purpose,we constructed a Financial Social Accounting Matrix(FSAM)for the Italian economy for the year 2009 to calibrate a dynamic computable general equilibrium model(DCGE).This model allowed us to evaluate the direct and indirect impact of money flow on the behavior of consumption and investment.The findings of the study confirmed the positive impact of the ECB’s monetary policy on the level of investment and consumption.
基金funded by the National Natural Science Foundation of China(61971014),Zhang Jianbiao.
文摘Channel assignment has emerged as an essential study subject in Cognitive Radio-basedWireless Mesh Networks(CR-WMN).In an era of alarming increase in Multi-Radio Multi-Channel(MRMC)network expansion interference is decreased and network throughput is significantly increased when non-overlapping or partially overlapping channels are correctly integrated.Because of its ad hoc behavior,dynamic channel assignment outperforms static channel assignment.Interference reduces network throughput in the CR-WMN.As a result,there is an extensive research gap for an algorithm that dynamically distributes channels while accounting for all types of interference.This work presents a method for dynamic channel allocations using unsupervisedMachine Learning(ML)that considers both coordinated and uncoordinated interference.Unsupervised machine learning uses coordinated and non-coordinated interference for dynamic channel allocation.To determine the applicability of the proposed strategy in reducing channel interference while increasingWMNthroughput,a comparison analysis was performed.When the simulation results of our proposed algorithm are compared to those of the Routing Channel Assignment(RCA)algorithm,the throughput of our proposed algorithm has increased by 34%compared to both coordinated and non-coordinated interferences.
文摘With continuous evolution in software industry, security is becoming very important in software projects. However, in many development methodologies, security is thought to be added in the project at later stages of the development lifecycle. There are also many proposed methodologies where the security measures are considered at requirement engineering stage of the development lifecycle, but many of them still do not seem adequate for applicability due to the reason that these approaches do not provide sufficient support for mapping the security requirements to the later stages of development. So, we are in need of a software requirement engineering approach, which is not only helpful in security requirement specification at requirement engineering stage but also provides support for using the specified security requirements at later stages of development. To meet this requirement, we introduce a new method Secure and Traceable Requirement Engineering Process (STREP). This method also helps the non-security-expert requirement engineers to specify requirements in such a way that the specified requirements can be used to derive security related test cases. STREP method not only deals with security issues of the system at requirement engineering stage, but also makes the security requirements more traceable to be used at later stages of development lifecycle, and as a result, secure systems are produced that are also usable as the customer wishes.
文摘After a large improvement in health care services, Wireless Body Area Sensor Network (WBASN) is used in different fields where health care monitoring can be done continuously and from a distance. Many selected protocols are given in literature work which can improve the performance of WBASN by focusing on delay, routing and energy efficiency. In our research, we will focus on improving throughput, network life time, and decrease end-to-delay. In given research, the two sink nodes utilized and AnyCasting concept will be used. Dual Sinks based Scheme (DSS) for WBASN will be compared with existing DARE, SIMPLE, LAEEBA and M-ATTEMPT protocols. DSS performance found more efficient than DARE, SIMPLE, LAEEBA and M-ATTEMPT respectively in throughput. From results, DSS network life time is greater than DARE, SIMPLE, LAEEBA and M-ATTEMPT with minimum delay. In DSS, energy parameter is in tradeoff with the improved parameters, because of a computation of RSSI which do more process and utilize more energy.
文摘We present a neuro-heuristic computing platform for finding the solution for initial value problems （IVPs） of non- linear pantograph systems based on functional differential equations （P-FDEs） of different orders. In this scheme, the strengths of feed-forward artificial neural networks （ANNs）, the evolutionary computing technique mainly based on genetic algorithms （GAs）, and the interior-point technique （IPT） are exploited. Two types of mathematical models of the systems are constructed with the help of ANNs by defining an unsupervised error with and without exactly satisfying the initial conditions. The design parameters of ANN models are optimized with a hybrid approach GA-IPT, where GA is used as a tool for effective global search, and IPT is incorporated for rapid local convergence. The proposed scheme is tested on three different types oflVPs of P-FDE with orders 1-3 The correctness of the scheme is established by comparison with the existing exact solutions. The accuracy and convergence ofthc proposed scheme are further validated through a large number of numerical experiments by taking different numbers of neurons in ANN models.
