As the development of high-performance computing (HPC) is growing, exascale computing is on the h... more As the development of high-performance computing (HPC) is growing, exascale computing is on the horizon. Therefore, it is imperative to develop parallel systems, such as graphics processing units (GPUs) and programming models, that can effectively utilise the powerful processing resources of exascale computing. A tri-level programming model comprising message passing interface (MPI), compute unified device architecture (CUDA), and open multi-processing (OpenMP) models may significantly enhance the parallelism, performance, productivity, and programmability of the heterogeneous architecture. However, the use of multiple programming models often leads to unexpected errors and behaviours during run-time. It is also difficult to detect such errors in high-level parallel programming languages. Therefore, this present study proposes a parallel hybrid testing tool that employs both static and dynamic testing techniques to address this issue. The proposed tool was designed to identify the r...
International Journal of Wireless Communications and Network Technologies
Research interest in cloud-based load balancing and task scheduling has grown rapidly over the la... more Research interest in cloud-based load balancing and task scheduling has grown rapidly over the last few years. To be more precise, load balancing of virtual machine tasks (VMs) that require nature-inspired algorithms has become an area of particular interest. It is essential to ensure load balancing between VMs as this avoids overloading and underloading VMs, aspects that can cause issues like high-power consumption, increased execution time, and elevated response times, all of which can ultimately cause a system failure. Swarm intelligence is critical when dealing with issues that are difficult to solve and must be overcome using traditional and mathematical techniques. The algorithm was developed by Karaboga in 2005 and is inspired by the foraging behaviors of an artificial bee colony. This algorithm is extremely robust, convergent, and flexible. Another researcher applied the ABC method to load balancing in order to enhance it. In-depth research on load balancing in cloud computi...
Technological advancements and innovations have profoundly changed the lives of people giving ris... more Technological advancements and innovations have profoundly changed the lives of people giving rise to smart environments, cities, and societies. As homes are the building block of cities and societies, smart homes are critical to establishing smart living and are expected to play a key role in enabling smart cities and societies. The current academic literature and commercial advancements on smart homes have mainly focused on developing and providing smart functions for homes to provide security management and facilitate the residents in their various activities such as ambiance management. Homes are much more than physical structures, buildings, appliances, operational machines, and systems. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize th...
The paper uses mathematical-statistics–related methods to conduct an MCM examination of the physi... more The paper uses mathematical-statistics–related methods to conduct an MCM examination of the physical health of all freshmen in a particular university. The study found that taking first-year students as the research object enables the inference that the four primary factors of college students’ physiological structure, physical form, psychological level and athletic ability can form a mathematical vertebral body model. This model can point out a new path for studying students’ physical health and realise a comprehensive assessment of students’ physical health.
People exercising under high ambient temperature will cause changes in physiological indicators. ... more People exercising under high ambient temperature will cause changes in physiological indicators. In order to study the thermal physiological state of the human body, we randomly selected 18 volunteers into the thermal environment exercise group and the room temperature exercise group. Two groups of volunteers performed aerobic exercises in different thermal environments. In the case of exercise performed every 15 min, the volunteers’ hemorheology, physical performance rating (RPE) value and rectal temperature (Tre) were tested. At the same time, we recorded the physiological indicators of the volunteers and simulated the thermal physiology. The results showed that there was a difference in the thermal physiology of the two groups of volunteers, and the hemorheology and the self-strain rating scale were highly correlated in the thermal environment (r=0.839, P<0.01). For this reason, we can conclude that exercising in a hot environment will make people have a heavier heat stress re...
The article proposes a human motion capture method based on operational data. The thesis first us... more The article proposes a human motion capture method based on operational data. The thesis first uses the human body wear system to perform functional processing on the captured periodic motion data, and then extracts the data sequence for the few motions. Thereafter, the classification of the vector calculation method is carried out according to the characteristics of periodic data. Through experimental research, it is found that the functional data analysis (FDA) algorithm proposed in the thesis can accurately identify human motion behaviour, and the automatically collected data has a recognition rate that is as high as 98.9%. Therefore, we have concluded that the human body data functional analysis algorithm has higher recognition accuracy than the traditional optical capture system. Thus, it is worthy of further research and discussion.
This paper proposes a mathematical function movement model based on the gait movement of the huma... more This paper proposes a mathematical function movement model based on the gait movement of the human body and, in particular, on the trajectory of the limbs during human movement. The article systematically measures and experimentally deals with the trajectory of the limbs of 40 students in the walking movement. The linear high-order polynomial fitting method eliminates the motion error. Simultaneously, the linear relationship least square method is used to obtain the expression of the limb motion function. Finally, the mathematical model of the limb motion trajectory is obtained. It is verified through experiments that the model proposed in the thesis can calculate the law of limb movement and movement parameters of any person under normal walking movement. This research has high research value for human movement rehabilitation and the design of wearable equipment.
In order to accurately perceive user intention and improve the reliability of user intention info... more In order to accurately perceive user intention and improve the reliability of user intention information mining, the existence of solution of integral boundary value problem of fuzzy partial fractional differential equation is used to mine the information of user intention. Firstly, the periodic boundary value problem of fractional order fuzzy linear differential equation, periodic boundary value problem of fractional order fuzzy nonlinear differential equation and periodic boundary value problem of fractional order fuzzy coupled differential system are described in this research. The existence of the solution of the integral boundary value problem of the fuzzy partial fractional order differential equation is proved. Then a user-oriented information mining framework and an evaluation model based on the existence of solutions for the integral boundary value problem of fuzzy partial fractional differential equations are constructed. Finally, this research makes a case study and a com...
2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020
Load balancing of tasks on virtual machines based on Nature-inspired algorithm has turned into a ... more Load balancing of tasks on virtual machines based on Nature-inspired algorithm has turned into a field of greater research interest. Algorithm for load balancing based on honey bee behavior (LBA_HB) was presented to decrease the processing time and overall response time. However, it considers only the number of tasks handled by VMs for balancing the load, which might not be well enough effective. This research proposes an Improved Algorithm Based on Honey Bee behavior (ILBA_HB) by considering the various QoS parameters including service response time, reliability, cost, and estimate the power consumption of VMs on a host to enhance load balancing. As the situation remains uncertain, fuzzy logic can be applied at various levels of input to achieve the desired tradeoff between power consumption and QoS. The main goal of the proposed study calculates the power consumption of VMs and considers the important QoS factors to choose the appropriate host and virtual machine to receive the task. The ILBA_HB algorithm has been simulated with the use of CloudSim. The performance of ILBA_HB algorithm is compared with that of LBA_HB in terms of makespan, response time, degree of imbalance.
As the development of high-performance computing (HPC) is growing, exascale computing is on the h... more As the development of high-performance computing (HPC) is growing, exascale computing is on the horizon. Therefore, it is imperative to develop parallel systems, such as graphics processing units (GPUs) and programming models, that can effectively utilise the powerful processing resources of exascale computing. A tri-level programming model comprising message passing interface (MPI), compute unified device architecture (CUDA), and open multi-processing (OpenMP) models may significantly enhance the parallelism, performance, productivity, and programmability of the heterogeneous architecture. However, the use of multiple programming models often leads to unexpected errors and behaviours during run-time. It is also difficult to detect such errors in high-level parallel programming languages. Therefore, this present study proposes a parallel hybrid testing tool that employs both static and dynamic testing techniques to address this issue. The proposed tool was designed to identify the r...
International Journal of Wireless Communications and Network Technologies
Research interest in cloud-based load balancing and task scheduling has grown rapidly over the la... more Research interest in cloud-based load balancing and task scheduling has grown rapidly over the last few years. To be more precise, load balancing of virtual machine tasks (VMs) that require nature-inspired algorithms has become an area of particular interest. It is essential to ensure load balancing between VMs as this avoids overloading and underloading VMs, aspects that can cause issues like high-power consumption, increased execution time, and elevated response times, all of which can ultimately cause a system failure. Swarm intelligence is critical when dealing with issues that are difficult to solve and must be overcome using traditional and mathematical techniques. The algorithm was developed by Karaboga in 2005 and is inspired by the foraging behaviors of an artificial bee colony. This algorithm is extremely robust, convergent, and flexible. Another researcher applied the ABC method to load balancing in order to enhance it. In-depth research on load balancing in cloud computi...
Technological advancements and innovations have profoundly changed the lives of people giving ris... more Technological advancements and innovations have profoundly changed the lives of people giving rise to smart environments, cities, and societies. As homes are the building block of cities and societies, smart homes are critical to establishing smart living and are expected to play a key role in enabling smart cities and societies. The current academic literature and commercial advancements on smart homes have mainly focused on developing and providing smart functions for homes to provide security management and facilitate the residents in their various activities such as ambiance management. Homes are much more than physical structures, buildings, appliances, operational machines, and systems. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize th...
The paper uses mathematical-statistics–related methods to conduct an MCM examination of the physi... more The paper uses mathematical-statistics–related methods to conduct an MCM examination of the physical health of all freshmen in a particular university. The study found that taking first-year students as the research object enables the inference that the four primary factors of college students’ physiological structure, physical form, psychological level and athletic ability can form a mathematical vertebral body model. This model can point out a new path for studying students’ physical health and realise a comprehensive assessment of students’ physical health.
People exercising under high ambient temperature will cause changes in physiological indicators. ... more People exercising under high ambient temperature will cause changes in physiological indicators. In order to study the thermal physiological state of the human body, we randomly selected 18 volunteers into the thermal environment exercise group and the room temperature exercise group. Two groups of volunteers performed aerobic exercises in different thermal environments. In the case of exercise performed every 15 min, the volunteers’ hemorheology, physical performance rating (RPE) value and rectal temperature (Tre) were tested. At the same time, we recorded the physiological indicators of the volunteers and simulated the thermal physiology. The results showed that there was a difference in the thermal physiology of the two groups of volunteers, and the hemorheology and the self-strain rating scale were highly correlated in the thermal environment (r=0.839, P<0.01). For this reason, we can conclude that exercising in a hot environment will make people have a heavier heat stress re...
The article proposes a human motion capture method based on operational data. The thesis first us... more The article proposes a human motion capture method based on operational data. The thesis first uses the human body wear system to perform functional processing on the captured periodic motion data, and then extracts the data sequence for the few motions. Thereafter, the classification of the vector calculation method is carried out according to the characteristics of periodic data. Through experimental research, it is found that the functional data analysis (FDA) algorithm proposed in the thesis can accurately identify human motion behaviour, and the automatically collected data has a recognition rate that is as high as 98.9%. Therefore, we have concluded that the human body data functional analysis algorithm has higher recognition accuracy than the traditional optical capture system. Thus, it is worthy of further research and discussion.
This paper proposes a mathematical function movement model based on the gait movement of the huma... more This paper proposes a mathematical function movement model based on the gait movement of the human body and, in particular, on the trajectory of the limbs during human movement. The article systematically measures and experimentally deals with the trajectory of the limbs of 40 students in the walking movement. The linear high-order polynomial fitting method eliminates the motion error. Simultaneously, the linear relationship least square method is used to obtain the expression of the limb motion function. Finally, the mathematical model of the limb motion trajectory is obtained. It is verified through experiments that the model proposed in the thesis can calculate the law of limb movement and movement parameters of any person under normal walking movement. This research has high research value for human movement rehabilitation and the design of wearable equipment.
In order to accurately perceive user intention and improve the reliability of user intention info... more In order to accurately perceive user intention and improve the reliability of user intention information mining, the existence of solution of integral boundary value problem of fuzzy partial fractional differential equation is used to mine the information of user intention. Firstly, the periodic boundary value problem of fractional order fuzzy linear differential equation, periodic boundary value problem of fractional order fuzzy nonlinear differential equation and periodic boundary value problem of fractional order fuzzy coupled differential system are described in this research. The existence of the solution of the integral boundary value problem of the fuzzy partial fractional order differential equation is proved. Then a user-oriented information mining framework and an evaluation model based on the existence of solutions for the integral boundary value problem of fuzzy partial fractional differential equations are constructed. Finally, this research makes a case study and a com...
2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020
Load balancing of tasks on virtual machines based on Nature-inspired algorithm has turned into a ... more Load balancing of tasks on virtual machines based on Nature-inspired algorithm has turned into a field of greater research interest. Algorithm for load balancing based on honey bee behavior (LBA_HB) was presented to decrease the processing time and overall response time. However, it considers only the number of tasks handled by VMs for balancing the load, which might not be well enough effective. This research proposes an Improved Algorithm Based on Honey Bee behavior (ILBA_HB) by considering the various QoS parameters including service response time, reliability, cost, and estimate the power consumption of VMs on a host to enhance load balancing. As the situation remains uncertain, fuzzy logic can be applied at various levels of input to achieve the desired tradeoff between power consumption and QoS. The main goal of the proposed study calculates the power consumption of VMs and considers the important QoS factors to choose the appropriate host and virtual machine to receive the task. The ILBA_HB algorithm has been simulated with the use of CloudSim. The performance of ILBA_HB algorithm is compared with that of LBA_HB in terms of makespan, response time, degree of imbalance.
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Papers by Sanaa Sharaf