Abstract This paper presents essential points with applications of MATLAB/Simulink tools in solving initial value problems (IVP) of ordinary differential equations (ODEs) analytically and numerically. There are seven approaches of solving IVP of ODEs in MATLAB/Simulink are discussed via two different examples one which is simulation of thrown ball trajectories and the other is a non-homogeneous second order ODE. Comparative analyses... This paper presents essential points with applications of MATLAB/Simulink tools in solving initial value problems (IVP) of ordinary differential equations (ODEs) analytically and numerically. There are seven approaches of solving IVP of ODEs in MATLAB/Simulink are discussed via two different examples one which is simulation of thrown ball trajectories and the other is a non-homogeneous second order ODE. Comparative analyses of seven approaches are discussed by plotting their numerical results. Read More Read Less

Abstract This paper presents a method for modeling and identification of electrocardiogram signals; the proposed method consists of two phases; the first one is focused on obtaining the period of an ECG signal using a procedure of autocorrelation. The second phase obtains R-peaks using the Hilbert transform. Finally, Multilayer Perceptron Neural Network using a retraining technique is applied for the prediction... This paper presents a method for modeling and identification of electrocardiogram signals; the proposed method consists of two phases; the first one is focused on obtaining the period of an ECG signal using a procedure of autocorrelation. The second phase obtains R-peaks using the Hilbert transform. Finally, Multilayer Perceptron Neural Network using a retraining technique is applied for the prediction stage; this has been validated using twenty three different records from the MIT-BIH arrhythmia database. Results confirm that the presented approach for detection of the ECG complex obtains 99.9% accuracy. The performance of the prediction method is promising due to the root mean squared errors of the prediction are of 0.029, 0.04, and 0.059 of the ECG amplitude, for 1, 2, and 3 steps ahead, respectively, for the 100 record. Promising results for twenty three different records are also presented. Read More Read Less

Abstract The primary aim of this project is the implementation of a wireless connection between a microcontroller and an engineer that uses a personal computer, to monitor the performance of a control process in real time. Having already solved the problem of wired connectivity between user and the same application, nowadays, researchers turn even more their attention to wireless solutions of... The primary aim of this project is the implementation of a wireless connection between a microcontroller and an engineer that uses a personal computer, to monitor the performance of a control process in real time. Having already solved the problem of wired connectivity between user and the same application, nowadays, researchers turn even more their attention to wireless solutions of this task. The great advantage is that the user can be located in a long distance from the application, in an industrial environment for instance, avoiding all cabling drawbacks. The subject of this paper is also to investigate if the wireless transmission speed of data is fast enough for the controlling purposes of a complex application. As an experimental rig, an integrated hydraulic positioning system was chosen which hosts a microcontroller with Bluetooth capabilities on it as the interface between the system and the user. All gear description and experimentation results are illustrated in details in this paper. Read More Read Less