Optimization Strategies for Solving Students’ Digital Equality and Scholarly Outcomes (Published)
Previous work by Lam (2017) and Lam (2016) show that social objects, cultural identities, and personality form another perspective of Roger Penrose’s three world philosophy. Using statistical data from the Centre for Economic and Policy Research (CEPR) in the United States, the relationship between these fields can be determined. This can be achieved through the Principal Component Analysis method by using statistical software: ‘R’. It is hoped that this data can be used to validate the sociological aspect of the three worlds philosophy.Certainly, there have been some opposing comments against the proposed theory. As such, this study will investigate some of the main oppositions and suggest possible solutions. Furthermore, by analysing the data, one can study ICT usage amongst students, in addition to predicting their future tendencies. One may explore how the ICT usage may have effects in one’s personality and cultural identity together with social objects. Social, cultural, and psychological factors all have effects on the academic achievements of students. These three areas influence the ICT usage of students and their scholarly results. Indeed, the culture and attitude of parents towards their child’s ICT usage can affect their educational performance (Lam, 2016). As a result, the following separate elements arise:
- Sociological three world philosophy
- Parental influence
- ICT leadership at school
- Studious outcomes
This will finally coalesce into a new and more rationalized connection, which can be presented in a framework. This helps to depict the creative relationship and understand how to minimize digital equality (or inappropriate digital usage) to maximize students’ academic performance. Realization can be achieved by manipulating both the three worlds philosophy and
parental influence factors. Moreover, a school’s successful ICT pedagogy is related to leadership, which is also connected to scholarly results. This means that digital usage can be optimized (or balanced) to produce studious outcomes. As a result, professionals such as teachers, social workers and researchers can develop corresponding strategies, such as providing philosophical education for parents, to better handle the ICT usage of children. Consequently, the digital divide in education, which has been created by modern technology, will be solved.
Citation: Carson Lam Kai Shun (2022) Optimization Strategies for Solving Students’ Digital Equality and Scholarly Outcomes, International Journal of Mathematics and Statistics Studies, Vol.10, No.5, pp.15-60
Keywords: Strategies., optimization, scholarly outcomes, solving students’ digital equality
Optimal EDC bill-mix through parameters tuning in an optimization model (Published)
Citation: Charles O. Todo, Harrietta I. Ojarikre, and, John N Igabari (2022) Optimal EDC bill-mix through parameters tuning in an optimization model, International Journal of Mathematics and Statistics Studies, Vol.10, No.1, pp.20-29
Abstract: There has been the problem of inappropriate billing of customers by Electricity Distribution Companies (EDCs) in Nigeria. We considered an explicit minimization constrained optimization model where the objective and constraint functions are all linear, for a scenario involving bills (EDCs) generate for their customers. Our model optimizes the bills for different household types. To get a bill-mix that is optimal in the view of customers, model parameters are tuned to fit in with field data collected by the companies. The model was implemented using the computer software, Solver, and the results are presented.
Keywords: Customers, EDC, Model, bill, optimization, parameter tuning, solver
Mathematical and Statistical Analysis of Farm Level Agricultural Sector in Bangladesh under Uncertainty (Published)
This study presents three different mathematical models for profit optimization of agricultural products in Bangladesh. To develop a Mixed Integer Linear Programming (MILP) model and analyze this model for two situation of demand uncertainty. Considering demand will be known before production and demand will be known after production. For the mentions of two cases, we investigate the change of solution applying least demand, maximum perhaps demand and extreme demand scenarios. I think this is real life problem and this analysis will be helpful for all types of agricultural producers. The proposed MILP model is to maximize the total profit and also to estimate the profitable production locations. The formulated MILP model were solved by A Mathematical Programming Language (AMPL) and results obtained by appropriate solver MINOS. Numerical example with the sensitivity of several parameters has been deployed to validate the models. Results show that maximum perhaps demand scenario gets better solution according to our expected value compare of other two scenarios.
Keywords: Agricultural products, Demand, Mixed integer linear program, Uncertainty, optimization
THE GRAY OPTIMIZATION MODEL APPLICABLE TO NON-HOMOGENOUS EXPONENTIAL SERIES (Published)
This paper proposes a new background which applicable to the non- homogenous exponential series, and give the best reducing value which conditioned by the error quadratic sum of fitting original series least. This method made the model more matching, and through verification, the modeling effect is good, which has certain practical value
Keywords: Background, Non-Homogenous Exponential, Reducing Value, optimization