Browsing by Author "Haggag, Ayman"

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Acoustic Energy Conversion into Useful Electric Energy from Disk Jockey by Using Piezoelectric Ttransducers
(IEEE, 2016) Selim, Kyrillos K.; Haggag, Ayman; Yehia, H. M.; Amer, Fathy Z.; El-Garhy, Ahmed M.
In this study a new noise source is proposed as a one of renewable energy sources in energy harvesting. Disk Jokey (DJ) is a common device in celebrations and other events. Converting the produced noise from DJ to electric energy by using a suitable piezoelectric transducer is the main aim of this study. Piezoelectric sensors are used to convert the sound waves to electric charges. Piezoelectric sensor of the model 7BB-41-2 is used in this study. The piezoelectric sensors are connected in series, parallel, and hybrid combination connections. The disk jockey is used as an acoustic noise source. The sound intensity levels of the output sound are 81, 84, 87 dB. The output of the three connection modes are measured at 0, 1,2,3,4, and 5cm distance. The results showed that the parallel connection gave the highest power at the various distances. The maximum generated power is 4.96m watts without using an external power supply for the signal condition device. The power decreases by increasing the distance from the source of the noise.
Analysis and Mitigation of Harmonics Caused by Air Conditioners in a Distribution System
(IEEE, 2017) Farrag, Mohamed Emad; Haggag, Ayman; Farooq, Haroon; Ali, Waqas
Due to the rise in power electronic based appliances and loads in distribution systems, grave concerns about the harmonic distortion level in the power system network are growing. Consequently, it became essential for the sustainable and robust design of a distribution system that the intensity of the harmonic pollution caused by different non-linear loads at residential level should be investigated. In addition, it is also of extreme importance to mitigate these harmonic distortions using new techniques. Thus, this paper is considering the Air Conditioners (ACs) load; which is a particularly swiftly escalating load, with nonlinearity, in hot areas and this results in harmonics contaminations. Therefore, this paper simulates a model of the harmonics distortion of air conditioners using ETAP software for the simulation of a low voltage network in Pakistan as an example of a warm territory. The results of this investigation confirm an alarming level of harmonic distortion in Pakistani distribution systems. Furthermore, the work introduces and implements a harmonics mitigation technique to considerably minimize the harmonic pollution using power conditioners.
Multimodal biometric scheme for human authentication technique based on voice and face recognition fusion
(Springer, 2019-06) Abozaid, Anter; Haggag, Ayman; Kasban, Hany; Eltokhy, Mostafa
In this paper, an effective multimodal biometric identification approach for human authentication tool based on face and voice recognition fusion is proposed. Cepstral coefficients and statistical coefficients are employed to extract features of voice recognition and these two coefficients are compared. Face recognition features are extracted utilizing different extraction techniques, Eigenface and Principle Component Analysis (PCA) and the results are compared. Voice and face identification modality are performed using different three classifiers, Gaussian Mixture Model (GMM), Artificial Neural Network (ANN), and Support Vector Machine (SVM). The combination of biometrics systems, voice and face, into a single multimodal biometric system is performed using features fusion and scores fusion. The computer simulation experiments reveal that better results are given in case of utilizing for voice recognition the cepstral coefficients and statistical coefficients and in case of face, Eigenface and SVM experiment gives better results for face recognition. Also, in the proposed multimodal biometrics system the scores fusion performs better than other scenarios.
A proposed technique for power extraction from acoustic energy scavenging
(Taylor & Francis, 2018) Selim, Kyrillos K; Haggag, Ayman; Amer, Fathy Z; Rady, Wael A; El-Garhy, Ahmed M
In this study, converting acoustic to electric energy was achieved via the Disk Jockey (DJ) model TG5000, which worked as a noise source, and the piezoelectric model 7BB-41-2, which worked as a transducer. We proposed different states of piezoelectric transducer's mounting on DJ and examined the results to determine the optimum state for maximization of the converted power. We proposed a technique which comprises four stages, and each stage is composed of a piezoelectric transducer followed by a voltage multiplier. The outputs of the four stages were connected in parallel, and these transducers were mounted via their bodies on the slim diaphragm of the acoustic focusing tube. The results indicated that the maximum converted power values were 1.225 mW with a load resistor of 10 k for one stage, 1.089 mW with a load resistor of 10 k for two stages, 1.682 mW with a load resistor of 5 k for three stages, and 5.891mW with a load resistor of 2.2 k for four stages at a sound intensity level of 85 dB and sound wave frequency of 2.1 kHz.