A Graphical User Interface (GUI) in Matlab to Compute the Thermal Lithospheric Thickness and its Error Bounds

Guruhappa, Harini; Sree, Shanti; Madhu, C.; Srivastava, Kirti

doi:10.5120/13479-1171

Cited by 2 publications

(2 citation statements)

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“…A graphical user interface (GUI) is a graphical display in one or more windows containing controls, called components, which enables a user to perform interactive tasks (Guruhappa et al, 2013;Hunt et al, 2014). The user of the GUI does not have to create a script or type commands at the command line to accomplish the tasks and need not understand the details of how the tasks are performed.…”

Section: Introductionmentioning

confidence: 99%

“…The user of the GUI does not have to create a script or type commands at the command line to accomplish the tasks and need not understand the details of how the tasks are performed. Using the MATLAB programming language, one can create a GUI which contains controls such as menus, toolbars, buttons and sliders (Guruhappa et al, 2013;Hunt et al, 2014;Yang et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Developing a cost-effective computing model for optimal diets for people living with HIV

Kowa¹

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People living with HIV (PLWHIV) without proper treatment are vulnerable to many kinds of opportunistic infections due to their weaker immune systems than healthy people. Poor nutrition intensifies the progression of HIV into AIDS by further compromising the immune system. Therefore, achieving basic nutritional recommendations is important at all stages of the disease. However, economic limitation (poverty) and lack of knowledge to find adequate amounts with right combinations of different locally available foods hinders them to meet the recommended daily nutrients requirements, leading them to become weak in a very short time and even experience early mortality. In this research, I developed a mathematical model and extended it to a MATLAB based graphical user interface (GUI) that could be used as a computation tool to compute adequate amounts of available foods to achieve the recommended nutrients at a minimum cost compared to an alternative. The mathematical model is the combination of multiple linear regression models and a linear programming model. Multiple linear regression models use the factors of age, weight, height, and gender to predict the nutritional requirements in the body. The results from the multiple linear regression model were used to define the constraints in the linear programming model. The linear programming model was used to compute the adequate amounts of foods that would lead to the achievement of the recommended nutrients taking into consideration practical biological/physical and economic constraints. The Graphical User Interface (GUI) was developed by the Graphical User Interface Development Environment (GUIDE) method in MATLAB. With the incorporated mathematical models it could be used to compute the adequate amount of foods. The GUI has five parts: the first part contains list of foods the user needs to select, the second part is to enter user’s particulars of age, weight, height and gender. The third part is to enter the cost of each selected foods. The fourth part is the computation part, which will initiate the computation. There is a status box, which shows whether the food combinations and financial constraints produce an optimal or non-optimal output and a reset button to enable clearance of previous computations and allowance of new data entrances. The last part is the output section which displays the amounts of foods to be bought and the total cost to be incurred when the computation is optimal. Results show that the multiple linear regression model has high predictive power by suggesting values that are close to the recommended daily/dietary intake (RDI). This was validated by testing the mean difference between paired samples using a t-test. By this analysis we found that there was no statistical ii difference between the means as the p  values were greater than the significance level of 0.05. The cost for optimal diets was less when model predicted values are used to limits the constraints in linear programming compared to when RDI values are used. The GUI developed could serve as the computation tool to compute adequate amount of foods to meet the recommended nutrients at minimum costs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing a cost-effective computing model for optimal diets for people living with HIV

Kowa¹

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A Matlab based Graphical User Interface for Computing Optimal Diet of People Living with HIV at Asyptomatic Stage

Kowa¹,

Mpolya²,

Nkansah-Gyekye³

2015

IJCA

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Achieving basic nutritional recommendations for people living with HIV is important at all stages as the virus affects the immune system and renders an infected person to contract other infections easily. Poor nutrition strengthens the effects of HIV as malnutrition adds to deterioration of the immune system. This leads to a poor prognosis of the disease. Thus a tool to determine adequate amount and good combination of different available foods that ensures optimal nutrients will prove useful if designed. In this paper, a MATLAB based Graphical User Interface (GUI) that will be used to compute adequate amount of foods which will lead to the achievements of recommended nutrient intakes for these patients has been developed. The design and use of a GUI can be extended to various telecommunication devices and be accessible to a normal person and other groups in needs of diet management and therefore it will have a wider application.

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A Graphical User Interface (GUI) in Matlab to Compute the Thermal Lithospheric Thickness and its Error Bounds

Cited by 2 publications

References 12 publications

Developing a cost-effective computing model for optimal diets for people living with HIV

Developing a cost-effective computing model for optimal diets for people living with HIV

A Matlab based Graphical User Interface for Computing Optimal Diet of People Living with HIV at Asyptomatic Stage

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