Telemedicine provides a means to transcend time, geographic and cultural barriers in the delivery... more Telemedicine provides a means to transcend time, geographic and cultural barriers in the delivery of healthcare services. It is also a great tool for the realization of the United Nations Sustainable Development Goals (SDGs No. 3) in ensuring healthy lives and promotion of well-being for all, at all ages. However, despite its obvious benefits, most developing countries especially in Sub-Saharan Africa are still lagging behind in the adoption of telemedicine for their citizenry. This article reviews the past and present practice of telemedicine, the influence of the COVID-19 pandemic on the growth of telemedicine, and its potential to solve healthcare challenges in developing nations. This study establishes that despite the plethora of solutions offered by telemedicine, its slow adoption in most developing countries in Sub-Saharan Africa could be attributed to: the high initial cost of its establishment, unavailability of reliable internet connection, irregular power supply and resistance to new technology and approaches.
This paper presents the impact of utilizing a biased energy distribution (BED) scheme among senso... more This paper presents the impact of utilizing a biased energy distribution (BED) scheme among sensor nodes for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable once the first node dies. This paper proposes a solution by using a technique that prioritizes the network into higher and lower energy nodes. The aim of this approach is to ensure well balanced energy consumption in order to maximize network lifetime. It is shown by simulation that the proposed technique exhibits better performance when compared to existing clustering routing techniques in terms of throughput, network lifetime and energy consumption.
... Abstract. The return of Islamic currencies consisting of the Dinar and Dirham calls for the r... more ... Abstract. The return of Islamic currencies consisting of the Dinar and Dirham calls for the return of the Islamic Trade and market. ... Additional Information: 5393/23354. Uncontrolled Keywords: IRIIE 2010, Dinar, dirham, Islamic market. ...
2011 Sixth Ieee International Symposium on Electronic Design Test and Application, Jan 16, 2011
Abstract A new parametric modeling technique for the analysis of the ECG signal is presented in t... more Abstract A new parametric modeling technique for the analysis of the ECG signal is presented in this paper. This approach involves the projection of the excitation signal on the right eigenvectors of the impulse response matrix of the LPC filter. Each projected value is then weighted by the corresponding singular value, leading to an approximated sum of exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate the EDS model parameters. Prony's algorithm is first used to obtain initial estimates of the ...
ABSTRACT Crack can easily be seen on many buildings and along major roads in developing and devel... more ABSTRACT Crack can easily be seen on many buildings and along major roads in developing and developed countries. These cracks come in various shapes, sizes and orientation. The main objective of this work is to apply digital signal and image processing ...
Abstract— The design and development of an Intelligent Robotic Donation Box (IRDB) system as a ty... more Abstract— The design and development of an Intelligent Robotic Donation Box (IRDB) system as a typical final year project in Mechatronics engineering is presented in this paper. The developed IRDB system has the capability of collecting donation from people in an organized ...
"Recent application of modern marketing techniques coupled with intelligent agricultural sys... more "Recent application of modern marketing techniques coupled with intelligent agricultural systems of production has transformed small scale farming into large scale, in most part of the world. Characteristically, most of the tropical fruits, such as orange, appeared edible physically but internally such fruits might be defective based on their tissue and juice. Eventually, these fruits, via the market and undetected, usually get to the consumers who encounter the unfavourable status of the fruits. Our purpose, in this study, is to develop a non-destructive method to predict the status of orange fruits, based on internal quality. Graph of histogram showing the levels of different four colour intensities were acquired and analysed. The features extracted from Magnetic Resonance Imaging (MRI), using any of the two proposed methods, were applied as an input to train artificial neural network (ANN) in order to predict the orange fruit status. Different structures of multi-layer perceptron neural networks with feed-forward and back-propagation learning algorithms were developed using MATLAB. The theoretical background of MRI and artificial neural network (ANN) backpropagation were also explained. At hidden neuron value of 20, search is for backpropagation and number of neurons in the hidden layer to optimize the ANN. Levenberg-Marquardt algorithm (trainlm) gave the best performance fitness out of different types of backpropagation algorithm used with least Mean Square Error (MSE) of 0.0814 corresponding to R-value of 0.8094. This work shows that ANN and MRI have the capability of predicting the internal content and detect defect fruit based on water proton content. "
Engineering Applications of Artificial Intelligence, Mar 1, 2012
A new method of estimating the coefficients of an autoregressive (AR) model using real-valued neu... more A new method of estimating the coefficients of an autoregressive (AR) model using real-valued neural network (RVNN) technique is presented in this paper. The coefficients of the AR model are obtained from the synaptic weights and adaptive coefficients of the activation function of a two layer RVNN while the number of neurons in the hidden layer is estimated from over-constrained system of equations. The performance of the proposed technique has been evaluated using sinusoidal data and recorded speech so as to examine the spectral ...
Telemedicine provides a means to transcend time, geographic and cultural barriers in the delivery... more Telemedicine provides a means to transcend time, geographic and cultural barriers in the delivery of healthcare services. It is also a great tool for the realization of the United Nations Sustainable Development Goals (SDGs No. 3) in ensuring healthy lives and promotion of well-being for all, at all ages. However, despite its obvious benefits, most developing countries especially in Sub-Saharan Africa are still lagging behind in the adoption of telemedicine for their citizenry. This article reviews the past and present practice of telemedicine, the influence of the COVID-19 pandemic on the growth of telemedicine, and its potential to solve healthcare challenges in developing nations. This study establishes that despite the plethora of solutions offered by telemedicine, its slow adoption in most developing countries in Sub-Saharan Africa could be attributed to: the high initial cost of its establishment, unavailability of reliable internet connection, irregular power supply and resistance to new technology and approaches.
This paper presents the impact of utilizing a biased energy distribution (BED) scheme among senso... more This paper presents the impact of utilizing a biased energy distribution (BED) scheme among sensor nodes for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable once the first node dies. This paper proposes a solution by using a technique that prioritizes the network into higher and lower energy nodes. The aim of this approach is to ensure well balanced energy consumption in order to maximize network lifetime. It is shown by simulation that the proposed technique exhibits better performance when compared to existing clustering routing techniques in terms of throughput, network lifetime and energy consumption.
... Abstract. The return of Islamic currencies consisting of the Dinar and Dirham calls for the r... more ... Abstract. The return of Islamic currencies consisting of the Dinar and Dirham calls for the return of the Islamic Trade and market. ... Additional Information: 5393/23354. Uncontrolled Keywords: IRIIE 2010, Dinar, dirham, Islamic market. ...
2011 Sixth Ieee International Symposium on Electronic Design Test and Application, Jan 16, 2011
Abstract A new parametric modeling technique for the analysis of the ECG signal is presented in t... more Abstract A new parametric modeling technique for the analysis of the ECG signal is presented in this paper. This approach involves the projection of the excitation signal on the right eigenvectors of the impulse response matrix of the LPC filter. Each projected value is then weighted by the corresponding singular value, leading to an approximated sum of exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate the EDS model parameters. Prony's algorithm is first used to obtain initial estimates of the ...
ABSTRACT Crack can easily be seen on many buildings and along major roads in developing and devel... more ABSTRACT Crack can easily be seen on many buildings and along major roads in developing and developed countries. These cracks come in various shapes, sizes and orientation. The main objective of this work is to apply digital signal and image processing ...
Abstract— The design and development of an Intelligent Robotic Donation Box (IRDB) system as a ty... more Abstract— The design and development of an Intelligent Robotic Donation Box (IRDB) system as a typical final year project in Mechatronics engineering is presented in this paper. The developed IRDB system has the capability of collecting donation from people in an organized ...
"Recent application of modern marketing techniques coupled with intelligent agricultural sys... more "Recent application of modern marketing techniques coupled with intelligent agricultural systems of production has transformed small scale farming into large scale, in most part of the world. Characteristically, most of the tropical fruits, such as orange, appeared edible physically but internally such fruits might be defective based on their tissue and juice. Eventually, these fruits, via the market and undetected, usually get to the consumers who encounter the unfavourable status of the fruits. Our purpose, in this study, is to develop a non-destructive method to predict the status of orange fruits, based on internal quality. Graph of histogram showing the levels of different four colour intensities were acquired and analysed. The features extracted from Magnetic Resonance Imaging (MRI), using any of the two proposed methods, were applied as an input to train artificial neural network (ANN) in order to predict the orange fruit status. Different structures of multi-layer perceptron neural networks with feed-forward and back-propagation learning algorithms were developed using MATLAB. The theoretical background of MRI and artificial neural network (ANN) backpropagation were also explained. At hidden neuron value of 20, search is for backpropagation and number of neurons in the hidden layer to optimize the ANN. Levenberg-Marquardt algorithm (trainlm) gave the best performance fitness out of different types of backpropagation algorithm used with least Mean Square Error (MSE) of 0.0814 corresponding to R-value of 0.8094. This work shows that ANN and MRI have the capability of predicting the internal content and detect defect fruit based on water proton content. "
Engineering Applications of Artificial Intelligence, Mar 1, 2012
A new method of estimating the coefficients of an autoregressive (AR) model using real-valued neu... more A new method of estimating the coefficients of an autoregressive (AR) model using real-valued neural network (RVNN) technique is presented in this paper. The coefficients of the AR model are obtained from the synaptic weights and adaptive coefficients of the activation function of a two layer RVNN while the number of neurons in the hidden layer is estimated from over-constrained system of equations. The performance of the proposed technique has been evaluated using sinusoidal data and recorded speech so as to examine the spectral ...
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Papers by Abiodun M Aibinu