Construction of a regression model for assessing the efficiency of separation of lightweight seeds on vibratory machines involving measures to reduce the harmful influence of the aerodynamic factor

Models of smart home usage dominate in developed countries, while in developing countries, they are still lacking. Technology Acceptance Model (TAM) is widely used in the context of smart home, and few studies examined other technology acceptance theories. The purpose of this study is to examine the experience of using smart home by Information Technology (IT) specialists in the Gulf Cooperation Council (GCC). The study deploys existence theories and proposes that the effect of relative advantage, convenience, accessibility, and cost on the intention to use smart home is positive. In addition, it was suggested that intention to use, as well as facilitating condition, directly affects the actual use of smart home. The knowledge of machine learning was proposed as a moderator between intention to use and actual use. The data were collected from IT specialists in the GCC using purposive sampling. The analysis was conducted using the Analysis of moment structures (AMOS). The findings showed that convenience, accessibility, and relative advantage have a positive effect, while cost has a negative effect on the intention to use smart home. The intention to use and facilitating condition affected positively the actual use. Knowledge in machine learning moderated positively the effect of intention to use on actual use. Decision makers are recommended to enhance the benefits of using the Internet of Things smart home and create a customized plan to enable using smart home at all levels. The knowledge of machine learning is critical for smart home usage, and customized courses in this regard are critical to boost the usage of smart home.

Section: Literature Review and Problem Statementmentioning

confidence: 62%

Developing a model of smart home usage among it specialists: the role of machine learning

Sharef

2022

“…In addition, the effect of temperature on the mechanical behavior of the novel prosthetic foot was calculated as part of the investigation. An analysis of stress and mechanical properties of the composite material employed in this study was published by the authors [32,33]. This effort was put in as part of this inquiry.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Identifying some regularities of the fatigue behavior of the reinforced carbon-fiber with Al2O3 nanoparticles composite structure of the prosthesis foot

Shomran¹,

Faisal

Hussein

et al. 2023

In this research Carbon-Fiber with AL2O3 Nanoparticles Composite Structure of the Prosthesis foot has been examined and analysed numerically explain the fatigue behaviour of the prosthesis. Nanoparticles made of AL2O3 were incorporated into the production process of the composite structure of the prosthesis foot in the appropriate manner. The life forecast, the damage indicator, and the Biaxiliray indexation were the three primary considerations that went into the process of studying the composite construction of the prosthesis foot. The life prediction was the most important factor. Experiments on the phenomena of fatigue have been carried out with the stress being entirely reversed as the variable in order to ensure that the findings are in keeping with the theory that was proposed by GoodMan. In order to develop an estimate for these characteristics, the dynamic load that was applied, which was 1000 N, was utilised. It used the dynamic load that was applied in order to produce an estimate for these characteristics so that we could better understand them. The results of the computational research showed that the life prediction could be increased to 106 cycles by applying a primary force of 1000 N. This was shown by the findings of the studyThis was demonstrated by the findings. While the same load application was being carried out, the Biaxiliray indexation attained a value of 0.99. In addition to the research that was done on the damage indicator, the numerical findings demonstrated that the damage can be seen after the initial 1000 cycles of stress have been applied. This was demonstrated both by the research that was done on the damage indicator as well as by the numerical findings

“…The harmful effect of the aerodynamic factor on the process of vibrational separation of seed fractions was investigated in [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…In [11], the results of the construction of four-factor regression models of the second order to assess the indicator of the effectiveness of the separation of seed mixtures of parsnip, fragrant dill, and leaf lettuce, taking into account the dynamics of air between the working surfaces of the vibratory machine unit, are presented. Regressions are built on the basis of numerical modeling of the vibrational movement of seeds during their interaction with the air moving due to the operation of the vibratory machine.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Regression models for assessing the efficiency of vibratory separation of parsnip seeds taking into account air dynamics based on numerical simulation and field experiment

Nykyforov¹,

Antoshchenkov²,

Halych³

et al. 2023

To reduce the complexity of research into designing promising vibratory machines while minimizing the harmful effect of the aerodynamic factor, it is convenient to use regression models. With their help, a quantitative assessment of the effectiveness of separation (cleaning) of seed mixtures is carried out, depending on the design parameters and the mode of operation of vibratory machines. This paper reports the results of research on the construction of regression models for parsnip seeds based on numerical modeling and full-scale experiment. Based on numerical modeling, a four-factor regression model of the second order was built, which takes into account the geometric characteristics of the aerodynamic screen, the design of the set of working surfaces, and the oscillation amplitude of a vibratory machine. Based on a full-scale experiment, a three-factor regression model of the second order was constructed for a constant gap between the working surfaces. A comparative analysis of the resulting regression models suggests that numerical modeling provides satisfactory accuracy in assessing the influence of the aerodynamic factor. This estimate, when using a regression model based on a numerical experiment, exaggerates the estimate determined by the full-scale experiment by 5–15 % (depending on the regressate variation area localization). Hence, the numerical model of the process of vibrational motion of light-weight seeds, taking into account the action of aerodynamic forces and moments, used to build a regression model of separation of parsnip seeds, can be considered adequate. Regression models (for parsnips and other plant crops), which are built on the basis of numerical modeling, should be used to solve problems of optimizing the parameters of vibratory machines according to the criterion of reducing the harmful effect of the aerodynamic factor.