A new face detection system is presented. The system combines several techniques for face detection to achieve better detection rates, a skin colormodel based on RGB color space is built and used to detect skin regions. The detected skin regions are
the face candidate regions. Neural network is used and trained with training set of faces and non-faces that projected into subspace by principal component analysis technique. we have added two modifications for the classical use of neural networks in face detection. First, the neural network tests only the face candidate regions for faces, so the search space is reduced. Second, the window size used by the neural network in scanning the input image is adaptive and depends on the size of the face candidate region. This enables the face detection system to detect faces with any size.
Optical fiber is one of the most important communications media in communication
system. Due to its versatile advantages and negligible transmission loss it is used in high
speed data transmission. There are various types of optical fiber, the Fibe
r Bragg Grating
(FBG) is commonly chosen as important components to compensate the dispersion in
optical communication system. Because the low cost of filter for wavelength selection and
low insertion loss, it has also customized reflection spectrum and wide bandwidth. The
simulation of transmission system will be analyzed based on different parameters using
OptiSystem simulator. By simulating a model of communication system and using the
most suitable settings of the system which include input power, fiber cable length (km) and
attenuation coefficient (dB/km) at cable section, there are three different parameters will be
investigated, which are Signal power, Noise power, output power at receiver.
