Applied Mathematics and Computational Intelligence (AMCI)
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AMCI is peer-reviewed and published as an online open-access journal as well as in printed copy. The journal welcomes original and significant contributions in the area of applied mathematics and computational intelligence. It emphasises on empirical or theoretical foundations, or their applications to any field of investigation where mathematics and computational intelligence techniques are used. The journal is designed to meet the needs of a wide range of mathematicians, computer scientists and engineers in academic or industrial research.
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PublicationA robust diagonally implicit block method for solving first order Stiff IVP of ODEs( 2022-12)In this work, a block of diagonally implicit backward differentiation method with two off-step points for solving first order stiff initial value problem of ordinary differential equation was derived. In the proposed block method two approximate solution values of 𝑦𝑛+1and 𝑦𝑛+2with two off-step points 𝑦𝑛+12and 𝑦𝑛+32 are computed concurrently for each iteration. The properties of the newly proposed method were found to be an A-stable, Zero stable and capable for solving first order Stiff IVPs. To validate the performance of the proposed method, some first order stiff IVPs are solved and the result obtained was compared with other existing numerical schemes. From the tabulated results and the graphs plotted, the proposed method has shown advantages of accuracy in the scale error over the three methods and an advantage of executional time over two of the existing methods considered.
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PublicationEvaluation of predictors for the development and progression of Diabetic Retinopathy among diabetes Mellitus Type 2 patients( 2022-12)Diabetic retinopathy is one of the microvascular complications caused by prolonged uncontrolled diabetes. It is believed that diabetic retinopathy correlates with certain predictors and risk factors that might worsen the disease, eventually causing visual loss and blindness among diabetes patients. There are some predictors and risk factors that attribute to the development and progression of diabetic retinopathy, such as the duration of diabetes and HbA1c trends. This study aims to evaluate the predictors and risk factors associated with the development and/or progression of diabetic retinopathy. Retrospective data were collected from a single healthcare facility in the northwest of Peninsular Malaysia. Patients included in this study were those with type 2diabetes mellitus diagnosed with diabetic retinopathy. The total number of patients involved in this study were 197, where 161 of them were newly diagnosed or with progressive diabetic retinopathy. The characteristics of diabetes patients with complication of diabetic retinopathy were described through descriptive statistics. Characteristics include demographics data such as age, gender, race and clinical data such as HbA1c readings HbA1c, estimated glomerular filtration rate (eGFR), urea and haemoglobin concentration (Hb). The results show that 7 predictors and risk factors are significant to the development and progression of diabetic retinopathy among diabetes patients. By using multinomial logistic regression, this study offers better understanding of the significant predictors and risk factors related to diabetic retinopathy.
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PublicationFactors affecting the educator’s ability on learners’ attraction in learning the programming subject specifically to the engineering students at UiTM Pulau Pinang( 2022-12)Teaching the subject ofcomputer programming,especially to engineering students at higher education institutions,requires a comprehensive teaching approach, flexiblepedagogy and hybrid teaching creativity to cultivatelearners’attraction and realisearealistic learning atmosphere. Research demonstratedthat students are not attentive to learningthe programming subject owing toseveral factorssuch asteaching materials and pedagogy, class size and programming difficulties. Hence, this paper concentrates onthefactors related to educatorscontributingto the students’ attraction to learningthe programming subject. This study wasconducted at Universiti Teknologi MARA, Pulau Pinang Branchwitha total of 241 students from the engineering schoolsresponding to the online survey. The data collected were analysed using descriptive statistics and factor analysis. The reliability test or Cronbach’s Alpha values wasperformed before analysing the questionnaire. The IBM SPSS wasused inevaluatingthe datacollectedfrom the questionnaireand through factoranalysis, it was found that the educators’ rolesaffectedthe students’ attraction and understanding ability in learning the programming subject. The results obtained from factor analysis indicated that the personality traits of programming lecturersand instructional material (additional references)are the major contributorsto the attraction of students toward programming subjects. This finding can help educators to improvise and innovate newteaching approachestomake the computer programming class fascinating and enhance the students’ learning.
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PublicationEffect of variable axial force on the vibration of a thin beam subjected to moving concentrated loads( 2022-12)The effect of variable axial force on a loaded beam subjected to both constant and variable loads are considered herein. The beam isassumed to beuniform, thin, and has a simple support at both ends.The constant load moves with constant velocity and uniform acceleration. The Galerkin’s method and theintegral transformation method areemployed in solving the fourth order partial differential equation describing the motion of the beam –load system. On solving, results show that, increase in the values of axial force𝑁gives a significant reductionin the deflection profile of the vibrating beam. Results also show that the addition of theaxial force𝑁, foundation modulus𝐾, and consideration of a damping effect in the governing equation increases the critical velocity of the dynamical system,thus, the risk of resonance is reduced.
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PublicationA heuristic technique for finding a solution of job sequencing problem( 2022-12)A finite set of sequential jobs performed through a setup machines assignment within a time-bound shift-wise manner or processing with a minimum time delay and using effectiveness process of machine sequencing order within the limited resource is called job sequencing problem. This paper proposed a heuristic technique known as a time deviation for an appropriate solution to the job sequencing problem to minimize the total minimum elapsed time and idle time in detail. We have written a process n number of sequential jobs through the m machines. Initially, we discussed the job sequencing problem for n jobs processed through two and three machines separately. We have also expanded the mentioned variables in n jobs for m machines. In conclusion, we have found the sequence of the job specification with the assigned machines. If the elapsed time for the n number of jobs process through m number of machines is known, for a more significant value of n, the final optimal assignment sequential jobs determined a listed solutionby the MATLAB programming is discussed in this paper. If the total elapsed time of machines' jobs is concerned, a relationship of pre-assigned matrix elements.