Adamu Mustapha

Kano University of Science and Technology Wudil, Environmental Science, Researcher

UPM - Universiti Putra Malaysia, Environmental Sciences, Alumnus

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Professor of Environmetrics
Supervisors: Professor Aliyu Baba Nabegu
Phone: +2348033550765
Address: Kano University of Science and Technology Wudil

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Patricia Murrieta-Flores

Lancaster University

Syafruddin Rauf

Hasanuddin University

Mohamad Zakaria

UPM - Universiti Putra Malaysia

Shivaji Chaudhry

Indira Gandhi National Tribal University, Amarkantak , India

Alexandru Badarau

Babes-Bolyai University

P Jegathambal

AnandVikram Singh

Banaras hundu university

Sibel Pamukcu

Lehigh University

Roger Saint-Fort

Mount Royal University

Thomas Glade

University of Vienna

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Papers by Adamu Mustapha

Transportation Optimization Model Using the Distance Matrix: A Case of Cement Distribution from Selected Companies to Distribution Centers in Ebonyi State

FUDMA JOURNAL OF SCIENCES, 2021

Ascertaining an optimal cement distribution plan for cement companies in Nigeria has remained a c... more Ascertaining an optimal cement distribution plan for cement companies in Nigeria has remained a challenge. The absence or fluctuation of data for estimating the cost of transporting cement from each source to each distribution center is a big stumbling block whenever modeling attempts are being made via transportation algorithms. This work has succeeded in removing these challenges by providing a Transportation Optimization Model for cement distribution using transportation Distance Matrix instead of transportation Cost Matrix. This research seeks to improve supply in the Nigerian cement industry. Three selected factories (Gboko, Port-Harcourt and Calabar) and four major distribution centers (Abakaliki, Onueke, Ohaozara and Afikpo) in Ebonyi state were considered for this work. The result of the findings using the Vogel Approximation Method, minimized the total transportation distance and by implication the total transportation costs.

* These authors contributed equally to this work

g.oxfordjournals.org/

Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan

Environmental Modelling & Software, 2007

Multivariate statistical techniques, such as cluster analysis (CA), principal component analysis ... more Multivariate statistical techniques, such as cluster analysis (CA), principal component analysis (PCA), factor analysis (FA) and discriminant analysis (DA), were applied for the evaluation of temporal/spatial variations and the interpretation of a large complex water quality data set of the Fuji river basin, generated during 8 years (1995–2002) monitoring of 12 parameters at 13 different sites (14 976 observations). Hierarchical cluster

Performance Analysis of Interior Gateway Routing Protocols across Different AS

Journal of Computer Science & Computational Mathematics, 2014

Routing is a vital part of today's communication networks and without it; data can never get past... more Routing is a vital part of today's communication networks and without it; data can never get past its originating subnet. It requires the implementation of a set of communication rules and guidelines called Routing Protocols. Each of these protocols has different features and performance capabilities, with different architectures and route processing algorithms. The data travels between local and wide area networks via different network topologies and is handled by different protocols within and outside different Autonomous Systems (AS). A secure and scalable communication platform relies on the selection of the right communication protocols. This plays an important role in the establishment and maintenance of successful communication grids, with the dynamic nature of the Internet connections and communication between different Autonomous Systems. This research paper presents a simulation as a comparative study of the Interior Gateway Routing Protocols (IGRP) in varying scenarios. Their performance was analysed and discussed by observing the generated traffic to identify the best combination of protocols for efficient data delivery. GNS3 network simulation software was used to create and implement the scenarios, and WireShark was used to capture the data packets.

Adamu Mustapha

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