Njideka Mbeledogu

Work place: Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria

E-mail: njidembeledogu@yahoo.com


Research Interests: Network Security, Neural Networks


Njideka N. Mbeledogu is a lecturer at the Department of Computer Science, Nnamdi Azikiwe University, Awka, Nigeria. She holds Bachelor of Science (BSc), Master of Science (MSc) and PhD degrees in Computer Science. She is a member of the Computer Professional of Nigeria (CPN) and the Nigerian Computer Society (NCS). Her interests include Network Security, Neural Networks and Fuzzy logic.

Author Articles
GeoNaija: Enhancing the Teaching and Learning of Geography through Mobile Applications

By ChukwuNonso Nwokoye Ikechukwu Umeh Njideka Mbeledogu

DOI: https://doi.org/10.5815/ijeme.2019.06.02, Pub. Date: 8 Nov. 2019

Recently, researchers have identified several challenges attendant to the teaching and learning of Geography in Nigerian secondary schools. Consequently, in order to address these issues we propose GeoNaija – an educational mobile application platform that aid the teaching and learning of Geography. For the development of the application, we employed the cyclical ever-evolving analysis, design, development, implementation, and evaluation (ADDIE) instructional design method. This method was chosen due to the fact that it is popular, easy to apply, allows for rapid prototyping, saves times and provides continual feedback. The newly developed mobile app will make the teaching and learning of Geography concepts easier, captivating and delightful for both the students and the teachers. The significance and value of the research was made clearly evident through a survey that elicited students’ responses on questions relating to the app’s presentation, visual, navigation and accessibility design. 90 secondary students was used for the survey. The study affirmed that developed mobile application will positively change the perspectives of the students and help eliminate the gap between the conventional and other informal forms of education.

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Modeling the effect of Network Access Control and Sensor Random Distribution on Worm Propagation

By ChukwuNonso H. Nwokoye Njideka Mbeledogu Ikechukwu I. Umeh Ihekeremma A. Ejimofor

DOI: https://doi.org/10.5815/ijmecs.2017.11.06, Pub. Date: 8 Nov. 2017

Sensor networks are appealing targets for malicious attacks that invade the network with the aim of depleting the confidentiality, availability and integrity (CIA) features/parameters of neighboring sensor nodes. This is due to its open communication, minimal resources and its deployment in un-trusted, unguarded and unfriendly terrains. To restrict illegitimate users or malicious attackers (such as worms) network analysts have suggested network access control (NAC). Specifically, we apply NAC to wireless sensor network epidemic models in order to investigate distribution density, transmission range and sensor area/field. Our analyses involved analytical expressions of two sensor fields gleaned from literature. Additionally, we explored the possibilities of infectivity of sensor nodes at the exposed class using the two expressions for sensor field topologies. We also derived the reproduction ratios and solutions at several equilibrium points for the models. It is our hope that that our work herein would impact sensor deployment decisions for organizations that utilize wireless sensor networks for meaningful daily activities.

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