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Articles by Nidal F. Shilbayeh
Total Records ( 9 ) for Nidal F. Shilbayeh
  Mahmoud Z. Iskandarani and Nidal F. Shilbayeh
  A PIC controlled IR system for the control of vehicle side mirror system movements for the purpose of revealing blind spots is designed and implemented. The designed and built system allows the side view mirrors to be adjusted based on the driver head movement. The infrared-based head tracking system maps a predetermined coordinates for head movements and results in a triangularly computable geometry, which is fed to the PIC, based controlling system. This will cause the vehicle mirror movement via carefully selected miniature motors.
  Nidal F. Shilbayeh and Mahmoud Z. Iskandarani
  The voltage/current characteristics and the effect of NO2 gas on the electrical conductivity of a PbPc gas sensor array is investigated. The gas sensor is manufactured using vacuum deposition of gold electrodes on sapphire substrate with the lead-phathalocyanine vacuum sublimed on the top of the gold electrodes. Two versions of the PbPc gas sensor array are investigated. The tested types differ in the gap sizes between the deposited gold electrodes. The sensors are tested at different temperatures to account for conductivity changes as the molecular adsorption/desorption rate is affected by heat. The obtained results found to be encouraging as the sensors showed stability and sensitivity towards low concentration of applied NO2 gas.
  Nidal F. Shilbayeh and Mahmoud Z. Iskandarani
  An electronic nose system for quality control of coffee is designed and tested. The system uses the Figaro TGS800 series sensors with an integrated heating element. The testing of the system is carried out using different types of coffee where it is proved successful in classifying the tested coffees and actual discrimination of ingredients into different classes [10]. Database based software is designed to interface the built hardware and to process the electronic nose signals before being classified.
  Nidal F. Shilbayeh and Mahmoud Z. Iskandarani
  The voltage/current characteristics and the effect of NO2 gas on the electrical conductivity of a PbPc gas sensor array is investigated. The gas sensor is manufactured using vacuum deposition of gold electrodes on sapphire substrate with the lead-phathalocyanine vacuum sublimed on the top of the gold electrodes. Two versions of the PbPc gas sensor array are investigated. The tested types differ in the gap sizes between the deposited gold electrodes. The sensors are tested at different temperatures to account for conductivity changes as the molecular adsorption/desorption rate is affected by heat. The obtained results found to be encouraging as the sensors shoed stability and sensitivity towards low concentration of applied NO2 gas.
  Nidal F. Shilbayeh and Adham Alshamary
  The aim of this study was to solve problems of modification, forgery, illegal manipulation and distribution of digital image, especially with the rapid growth of transmission techniques. Although, there are many ways to protect the images, the proposed system suggested a new technique to protect the image for the purposes of ownership, copyright and intellectual property. In this study, we present a new robust and secure hybrid watermarking technique based on Haar Wavelet Transformation (HWT) and Discrete Wavelet Transformation (DWT). The proposed method is constructed by cascading two different but complementary techniques: HWT and DWT wavelet transformations to provide a robust resistance to the protected image against different signal processing attacks. Adding a private key to the watermarking will increase the privacy and security, but by embedding watermark in that private key more protection in wavelet transform will result, leading to more resistant against attacks. The new technique has been proposed to solve the problem of illegal manipulation and distribution of digital image, i.e., HWT and DWT system. Performance evaluation of the proposed method showed improved results in terms of imperceptibility, robustness and security in comparison with others systems.
  Nidal F. Shilbayeh and Mahmoud Z. Iskandarani
  Problem statement: The effect of varying the number of nodes in the hidden layer and number of iterations are important factors in the recognition rate. In this study, a novel and effective criterion based on Cross Pruning (CP) algorithm was proposed to optimize number of hidden neurons and number of iterations in Multi Layer Perceptron (MLP) neural based recognition system. Our technique uses rule-based and neural network pattern recognition methods in an integrated system in order to perform learning and recognition of dynamically printed numerals Approach: The study investigated the effect of varying the size of the network hidden layers (pruning) and number of iterations (epochs) on the classification and performance of the used MLP. The optimum number of hidden neurons and epochs was experimentally established through the use of our novel Cross Pruning (CP) algorithm and via designing special neural based software. The designed software implements sigmoid as its shaping function. Results: Experimental results were presented on the classification accuracy and recognition. Significant recognition rate improvement is achieved using 1000 epochs and 25 hidden neurons in our MLP OCR numeral recognition system. Conclusions/Recommendations: Our approach has a significant improvement in learning and classification of any numeral, character MLP based recognition system.
  Nidal F. Shilbayeh and Mahmoud Z. Iskandarani
  A comprehensive mouse gesture system is designed and tested successfully. The system is based on UNIPEN algorithm in terms of mouse movements and applies its geometrical principles such as angles and transposition steps. The system incorporates Neural Networks as its learning and recognition engine. The designed algorithm is not only capable of translating discrete gesture moves, but also continuous sentences and complete paragraphs. Hopfield Network is also used for initial learning to add a feature of language independence to the system.
  Mahmoud Z. Iskandarani and Nidal F. Shilbayeh
  An electronic nose system for multi application purposes is designed and tested. Our hardware design allows various types of sensors to be used for different applications. The system is capable of being interfaced to both analog and digital instruments with special filtering devices that isolate the system from surrounding signals. The design of the system is distinguished through the use of two logic controlled micro fans that stabilize the system atmosphere, which surrounds the smelling sensor and also serves an important function of removing any adsorbed odors on the surface of the sensor. Comprehensive mathematics are used to design and describe each part of the presented system, which allows methodical development and changes of the system parameters for future advances. Testing of the hardware was carried out under computer control using various TGS sensors such as TGS822, and TGS824 and TGS30. Database based software with neural network facility was designed to interface the built hardware and to process the electronic nose signals before being classified.
  Nidal F. Shilbayeh and Mahmoud Z. Iskandarani
  A PIC controlled IR system for the control car mirror system movement is designed and implemented. The designed and built system allows the side view mirrors to be adjusted based on the driver head movement. The infrared based head tracking system maps a predetermined coordinates for head movements and results in a triangularly computable geometry which is fed to the PIC based controlling system. This will cause the vehicle mirror movement via carefully selected miniature motors. The system takes blind spots and their angles into consideration.
 
 
 
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