Adama University

About: Adama University is a education organization based out in Nazrēt, Ethiopia. It is known for research contribution in the topics: Population & Adsorption. The organization has 840 authors who have published 1010 publications receiving 5547 citations. The organization is also known as: Adama Science and Technology University & ቴክኖሎጂ ዩኒቨርሲቲ, አዳማ ሳይንስና ቴክኖሎጂ ዩኒቨርሲቲ.

Hybrid one step block method for the solution of third order initial value problems of ordinary differential equations

Abstract: In this paper, we develop one point, five hybrid points, block method using the method of collocation and interpolation of the power series approximate solution to develop a linear multistep method with a constant step-length which was implemented in block method. The basic properties of the derived method was investigated and found to be constant, zero stable and convergent. The region of absolute stability was equally investigated. The derived method was tested on some numerical examples.

Neuro-fuzzy Approach for Prediction of Neurological Disorders: A Systematic Review

Abstract: Neurological disorders are highly prevalent worldwide, and contributes greatly to global disease problems. This paper aimed to; presents a systematic review of the neuro-fuzzy system (NFS) approach to diagnose neurological disorders, and to identify the most effective NFS approach to guide clinical practice. A systematic search was conducted on some selected scientific databases as appropriate databases for the review. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) method was used as the basic method for conducting this review. The studies selected include those in which the NFS-related approaches were developed to diagnose neurological disorders, using datasets from patients. A total of 313 papers were examined for the study, 36 papers were included according to the inclusion criteria. The results showed that among all the designed NFS models, Gaussian was the most frequently used membership functions followed by triangular functions in the selected studies, and the inference method frequently used was the Sugeno method followed by the Mamdani method. The review reveals that NFS models used are effective in diagnosing neurological disorders. However, despite the effectiveness of this approach, its usage did not cover all the neurological domains of disease diagnosis.

Analysis of Boundary-Domain Integral Equations for Variable-Coefficient Mixed BVP in 2D

Abstract: The direct segregated boundary-domain integral equations (BDIEs) for the mixed boundary value problem for a second order elliptic partial differential equation with variable coefficient in 2D is considered in this paper. An appropriate parametrix (Levi function) is used to reduce this BVP to the BDIEs. Although the theory of BDIEs in 3D is well developed, the BDIEs in 2D need a special consideration due to their different equivalence properties. As a result, we need to set conditions on the domain or on the associated Sobolev spaces to insure the invertibility of corresponding parametrix-based integral layer potentials and hence the unique solvability of BDIEs. The properties of corresponding potential operators are investigated. The equivalence of the original BVP and the obtained BDIEs is analysed.

Exponentially fitted tension spline method for singularly perturbed differential difference equations

Abstract: In this article, singularly perturbed differential difference equations having delay and advance in the reaction terms are considered. The highest-order derivative term of the equation is multiplied by a perturbation parameter e taking arbitrary values in the interval (0, 1]. For the small value of e, the solution of the equation exhibits a boundary layer on the left or right side of the domain depending on the sign of the convective term. The terms with the shifts are approximated by using the Taylor series approximation.The resulting singularly perturbed boundary value problem is solved using an exponentially fitted tension spline method. The stability and uniform convergence of the scheme are discussed and proved. Numerical exam ples are considered for validating the theoretical analysis of the scheme. The developed scheme gives an accurate result with linear order uniform convergence.

Research opportunities and challenges of security concerns associated with big data in cloud computing

Abstract: Currently, various organizations, industries, business relishes the greater values of big data applications. This paper emphasis the security issues in cloud computing that are associated with big data. IT societies were progressed due to the involvement of cloud computing in a prominent manner. Cloud computing with big data application is more beneficial and plays a vital role in all support services to end users. Moreover, Cloud computing is an open environment, offers all services over the internet, but still ambiguity persists regarding the insecurity and unauthorization to end users. In this regard, the cloud computing can be enhanced with proper techniques and methodologies to secure data with its effective stores and to provide confidentiality. This paper strives to offer leading research opportunities and challenges in security services in adoption of cloud computing with big data applications and also with solutions, which can help the stakeholders to better use of cloud computing services.