Papers by Momoh-Jimoh Salami
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)
2011 National Postgraduate Conference, 2011
Abstract Automatic Speech Recognition (ASR) for Arabic word has been developed in this work. The ... more Abstract Automatic Speech Recognition (ASR) for Arabic word has been developed in this work. The system has the ability to recognize word that is uttered by the speaker. In this paper, an approach using support vector machines (SVMs) for identifying Arabic word based on the speaker speech is proposed. The proposed SVMs-based Automatic Speech Recognition system is tested experimentally using words uttered by 20 native Arabic speakers. The Mel Frequency Cepstral Coefficient (MFCC) is adopted as a feature and ...
2008 IEEE International RF and Microwave Conference, 2008
This paper describes a modification of the Free-Space and Hata formulae for the prediction of rec... more This paper describes a modification of the Free-Space and Hata formulae for the prediction of received signal power, P R and propagation path loss, L P , in two cellular mobile radio systems (CMRS), in the Northern Nigeria. Measurements of P R s were taken with a Cellular Mobile Radio test Receiver (Sagem OT 160), in some selected open/rural environments, when the receiver was being moved away from the base stations along the propagation paths. L P s were then obtained from values of measured P R s using an appropriate expression. A close comparison of measurement values and computed values from the free-space and Hata formulae revealed that direct application of these formulae is inappropriate for the prediction of these parameters in the region of investigation, as computed values fell short significantly from the corresponding measured values. Consequently, some correction factors have been introduced to both models and these have produced results which closely matched the measured values.
itee.uq.edu.au
The hardware design of a pressure based typing biometrics authentication system (BAS) is discusse... more The hardware design of a pressure based typing biometrics authentication system (BAS) is discussed in this paper. The dynamic keystroke is represented by its time duration (t) and force (F) applied to constitute a waveform, which when concatenated compose a complete pattern for the entered password. Hardware design is the first part in designing the complete pressure-based typing (BAS) in order to ensure that the best data to represent the keystroke pattern of the user is captured. The system has been designed using LabVIEW software. Several data preprocessing techniques have been used to improve the acquired waveforms. An experiment was conducted to show the validity of the design in representing keystroke dynamics and preliminary results have shown that the designed system can successfully capture password patterns.
2011 Sixth IEEE International Symposium on Electronic Design, Test and Application, 2011
A new parametric modeling technique for the analysis of the ECG signal is presented in this paper... more 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 model, while the Gauss-Newton method is applied to solve the non-linear least-square optimisation problem. The performance of the proposed model is evaluated on abnormal clinical ECG data selected from the MIT-BIH database using objective measures of distortion. A good compression ratio per beat has been obtained using the proposed algorithm which is quite satisfactory when compared to other techniques.
Computers in Biology …, Jan 1, 2010
The use of vascular intersection aberration as one of the signs when monitoring and diagnosing di... more The use of vascular intersection aberration as one of the signs when monitoring and diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in the literature. In this paper, a new hybrid approach called the combined cross-point number (CCN) method able to detect the vascular bifurcation and intersection points in FIs is proposed. The CCN method makes use of two vascular intersection detection techniques, namely the modified cross-point number (MCN) method and the simple cross-point number (SCN) method. Our proposed approach was tested on images obtained from two different and publicly available fundus image databases. The results show a very high precision, accuracy, sensitivity and low false rate in detecting both bifurcation and crossover points compared with both the MCN and the SCN methods. (A.M. Aibinu), [email protected] (M.I. Iqbal), [email protected] (M. Nilsson).
This work examines recent publications in forecasting in various fields, these include: wind powe... more This work examines recent publications in forecasting in various fields, these include: wind power forecasting; electricity load forecasting; crude oil price forecasting; gold price forecasting energy price forecasting etc. In this review, categorization of the processes involve in forecasting are divided into four major steps namely: input features selection; data pre-processing; forecast model development and performance evaluation. The various methods involve are discussed in order to provide the overall view about possible options for development of forecasting system. It is intended that the classification of the steps into small categories with definitions of terms and discussion of evolving techniques will provide guidance for future forecasting sytem designers.
This paper discusses the development of a microcontroller-based control system with hardware-inth... more This paper discusses the development of a microcontroller-based control system with hardware-inthe-loop (HIL) for enhancing the teaching of control engineering. This system consists of both hardware and software. The software tools MATLAB/Simulink/xPC Target by MathWorks, Inc and a C++ compiler are used to simulate the physical system (plant) to be controlled, while the hardware include a microcontroller as a controller and interfacing circuits to allow communication between the simulated plant and the real controller. This proposed system is inexpensive and allows students to carry out extensive experimental investigations, as well as the design, implementation, performance evaluation and comparative studies of controllers. A case study of the controller design and implementation for an active suspension system is presented to illustrate the application of the proposed system.
This paper investigates the problem of estimating the parameters of a multicomponent signal obser... more This paper investigates the problem of estimating the parameters of a multicomponent signal observed in noise. The process is modeled as a special nonstationary autoregressive moving average (ARMA) process. The parameters of the multicomponent signal are determined from the spectral estimate of the ARMA model The spectral lines are closely spaced and the ARMA model must be determined from very short data records. Two high-resolution ARMA algorithms are develope d for determining the spectral estimates. The first ARM A algorithm modifies the extended Prony method to account fot the nonstationary aspects of noise in the model. For multicomponents signals with good signal to noise ratio (SNR) this algorithm provides excellent results. but for a lower SNR the performance degrades resulting in a loss in resolution. The second algorithm is based on the work of Cadzow. The algorithm presented overcomes the difficulties of Cadzow's and Kaye's algorithms and provides the coefficients for the complete model not just the spectral estimate. This algorithm performs well in resolving multicomponent signals when the SNR is low.
In this letter, we propose a parametric modeling technique for the electrocardiogram (ECG) signal... more In this letter, we propose a parametric modeling technique for the electrocardiogram (ECG) signal based on signal dependent orthogonal transform. The technique involves the mapping of the ECG heartbeats into the singular values (SV) domain using the left singular vectors matrix of the impulse response matrix of the LPC filter. The resulting spectral coefficients vector would be concentrated, leading to an approximation to a sum of exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate the model parameters. The Prony's method is first employed to obtain initial estimates of the model, while the Levenberg-Marquardt (LM) method is then applied to solve the non-linear least-square optimization problem. The ECG signal is reconstructed using the EDS parameters and the linear prediction coefficients via the inverse transform. The merit of the proposed modeling technique is illustrated on the clinical data collected from the MIT-BIH database including all the arrhythmias classes that are recommended by the Association for the Advancement of Medical Instrumentation (AAMI). For all the tested ECG heartbeats, the average values of the percent root mean square difference (PRDs) between the actual and the reconstructed signals were relatively low, varying between a minimum of 3.1545% for Premature Ventricular Contractions (PVC) class and a maximum of 10.8152% for Nodal Escape (NE) class.
This paper describes a modification of the Free-Space and Hata formulae for the prediction of rec... more This paper describes a modification of the Free-Space and Hata formulae for the prediction of received signal power, PR and propagation path loss, LP, in two cellular mobile radio systems (CMRS), in the Northern Nigeria. Measurements of PRs were taken with a Cellular Mobile Radio test Receiver (Sagem OT 160), in some selected open/rural environments, when the receiver was being
IOP Conference Series: Materials Science and Engineering, 2013
Temperature-dependent thermal coefficients of mathematical models of the postharvest storage proc... more Temperature-dependent thermal coefficients of mathematical models of the postharvest storage process play an important role in determining the models accuracy. Thermal properties of tubers under storage available in literature are generally of those in semi processed form (skinless) such as those having undergone peeling, dicing and cutting actions. This study investigates the effect of tuber skin on the thermal properties of whole tubers of potato and sweet potato. A direct approach was used to measure the tubers' density and thermal conductivity and thermal diffusivity by the transient heat transfer method. Indirect approach was used to measure the tubers' specific heat. Experimental data were used to develop empirical models of the thermal coefficients as a function of temperature. Results of the study should find great use in the modeling of potato and sweet potato storage process.
The positioning systems generally need a good controller to achieve high accuracy, fast response ... more The positioning systems generally need a good controller to achieve high accuracy, fast response and robustness. In addition, ease of controller design and simplicity of controller structure are very important for practical application. For satisfying these requirements, NCTF (nominal characteristic trajectory following controller) has been proposed as a practical point-to-point (PTP) positioning control. However, the NCTF control system has a PI compensator which is designed without systematic procedure for ...
Eigenvector methods are gaining increasing acceptance in the area of spectrum estimation. This pa... more Eigenvector methods are gaining increasing acceptance in the area of spectrum estimation. This paper presents a successful attempt at testing and evaluating the performance of two of the most popular types of subspace techniques in determining the parameters of multiexponential signals with real decay constants buried in noise. In particular, MUSIC (Multiple Signal Classification) and minimum-norm techniques are examined. It is shown that these methods perform almost equally well on multiexponential signals with MUSIC displaying better defined peaks.
2011 National Postgraduate Conference, 2011
Automatic Speech Recognition (ASR) for Arabic word has been developed in this work. The system ha... more Automatic Speech Recognition (ASR) for Arabic word has been developed in this work. The system has the ability to recognize word that is uttered by the speaker. In this paper, an approach using support vector machines (SVMs) for identifying Arabic word based on the speaker speech is proposed. The proposed SVMs-based Automatic Speech Recognition system is tested experimentally using words uttered by 20 native Arabic speakers. The Mel Frequency Cepstral Coefficient (MFCC) is adopted as a feature and later used as an input to the SVM-based identifier. The performance of the proposed technique has been investigated, especially for multiclass classification and it is found to produce good accuracy within short duration training time.
Electronic Design, Test and Application (DELTA)
A new parametric modeling technique for the analysis of the ECG signal is presented in this paper... more 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 model, while the Gauss-Newton method is applied to solve the non-linear least-square optimisation problem. The performance of the proposed model is evaluated on abnormal clinical ECG data selected from the MIT-BIH database using objective measures of distortion. A good compression ratio per beat has been obtained using the proposed algorithm which is quite satisfactory when compared to other techniques.
Earthquake is one of the most destructive natural disasters that killed many people and destroy l... more Earthquake is one of the most destructive natural disasters that killed many people and destroy lots of properties. The ability to predict the earthquake can lead to great reduction in catastrophic effect caused by this unwanted phenomenon. Earthquake predictions involve the study of the phenomenon prior to the earthquake. As many observation of the earthquake prior phenomenon, unusual animal behavior is one of the precursor phenomena prior to the earthquake. Among the geophysical stimuli which lead as precursor signals for ...
Proceedings of the 3rd International Conference on Mechatronics (ICOM'08), 2008
In this report, the well known parametric method of signals and systems representation is extende... more In this report, the well known parametric method of signals and systems representation is extended to modeling and prediction of cracks on building and road surfaces. Also, a new algorithm based on complex value autoregressive neural network with split linear activation function for the determination of Complex-Value Autoregressive Moving average (CARMA) coefficients is also proposed in this report. Furthermore, mathematical derivation and detail analysis of the proposed CARMA based Complex- ...
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Papers by Momoh-Jimoh Salami