Nigerian Defence Academy

About: Nigerian Defence Academy is a education organization based out in Kaduna, Nigeria. It is known for research contribution in the topics: Small Arms and Light Weapons & Signal. The organization has 374 authors who have published 360 publications receiving 1421 citations. The organization is also known as: NDA.

A review on preparation methods, stability and applications of hybrid nanofluids

Abstract: Hybrid nanofluid is a new class of nanofluids engineered by dispersing two different nanoparticles into conventional heat transfer fluid. Hybrid nanofluids are potential fluids that offer better heat transfer performance and thermo-physical properties than convectional heat transfer fluids (oil, water and ethylene glycol) and nanofluids with single nanoparticles. Scientific findings have indicated that hybrid nanofluid can replace single nanofluid since it provides more heat transfer enhancement especially in the areas of automobile, electro-mechanical, manufacturing process, HVAC and solar energy. In this paper, we summarized the recent progress related to preparation methods of hybrid nanofluids, factors affecting their stability, methods of enhancing thermal properties and current applications of hybrid nanofluids. Finally, some challenging issues that need to be solved for future research are discussed.

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

Abstract: The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries. Although significant progress achieved and surveyed in addressing ANN application to PR challenges, nevertheless, some problems are yet to be resolved like whimsical orientation (the unknown path that cannot be accurately calculated due to its directional position). Other problem includes; object classification, location, scaling, neurons behavior analysis in hidden layers, rule, and template matching. Also, the lack of extant literature on the issues associated with ANN application to PR seems to slow down research focus and progress in the field. Hence, there is a need for state-of-the-art in neural networks application to PR to urgently address the above-highlights problems for more successes. The study furnishes readers with a clearer understanding of the current, and new trend in ANN models that effectively addresses PR challenges to enable research focus and topics. Similarly, the comprehensive review reveals the diverse areas of the success of ANN models and their application to PR. In evaluating the performance of ANN models, some statistical indicators for measuring the performance of the ANN model in many studies were adopted. Such as the use of mean absolute percentage error (MAPE), mean absolute error (MAE), root mean squared error (RMSE), and variance of absolute percentage error (VAPE). The result shows that the current ANN models such as GAN, SAE, DBN, RBM, RNN, RBFN, PNN, CNN, SLP, MLP, MLNN, Reservoir computing, and Transformer models are performing excellently in their application to PR tasks. Therefore, the study recommends the research focus on current models and the development of new models concurrently for more successes in the field.

Factors that influence teachers’ adoption and integration of ICT in teaching/learning process

Abstract: Information communication technology (ICT) is becoming increasingly important in our daily lives and in our educational system. There is a growing demand on educational institutions to use ICT to t...

Market orientation, learning orientation and business performance: The mediating role of innovation

Abstract: Purpose – The purpose of this paper is to examine the relationship between market orientation, learning orientation and innovation; and second, assesses the role of innovation, market orientation and learning orientation on firms’ business performance using a developing country (i.e. the Ghanaian banking domain) as a study context. Design/methodology/approach – Following a nation-wide survey among senior managers of 28 banks in Ghana, five research propositions were tested using multiple linear regression analysis. Findings – Results demonstrate that market orientation has significant association with innovation while learning orientation has significant impact on innovation. Moreover, innovation mediates the relationship between market orientation and business performance. Research limitations/implications – This study adopt the cross-sectional research design and as such acknowledge the same limitations as other cross-sectional studies. Practical implications – The research will help bank executives esp...

A comparative review of dynamic neural networks and hidden Markov model methods for mobile on-device speech recognition

Abstract: The adoption of high-accuracy speech recognition algorithms without an effective evaluation of their impact on the target computational resource is impractical for mobile and embedded systems In this paper, techniques are adopted to minimise the required computational resource for an effective mobile-based speech recognition system A Dynamic Multi-Layer Perceptron speech recognition technique, capable of running in real time on a state-of-the-art mobile device, has been introduced Even though a conventional hidden Markov model when applied to the same dataset slightly outperformed our approach, its processing time is much higher The Dynamic Multi-layer Perceptron presented here has an accuracy level of 9694% and runs significantly faster than similar techniques