NGN core flexibility, its subject to adoption and the rapid growth in the personal mobile devices led to rapid growth in
mobile based services as mobile E- Learning. The personalized E-Learning service is proposed based on J2ME , it is
integrated with open source IMS control frame work for user management, session establishment using SIP protocol and
Multimedia learning content delivery like voice, video, whiteboard sharing using RTP and RTSP. The proposed E-Learning
platform comprises on four layers user agent layer (3G mobile phone, J2ME based SIP learning and teaching agent
application software), access layer (3G UMTS, Wi-Fi, GPRS), Data communication layer (SIP signaling, XML data
exchange between mobile client and Application server) and E- Control and Management layer (IMS control functions,
HSS, Learning content application servers ). This personalized E-Learning provides opportunity for learners and teachers to
learn, teach and control management everywhere.
Edge enhancement is derived from lack of accurate result from edge detection techniques. The image which is captured from long distances carries a lot of noise and blur which causes edge discontinuity. Although some novel algorithms which are based on cellular neural network, fuzzy enhancement and binary morphology have shown accuracy in order to obtain refined edge but still the problem of edge discontinuity arises. Eliminating discontinuity of edge a hybrid technique is proposed based on pixel neighbors pattern analysis PNPA. In the technique Canny operator for initial edge detection, PNPA operation for edge enhancement are performed for remote sensing satellite image successively. The visual and subjective evaluation shows that the proposed PNPA operation can effectively eliminate the influence of edge discontinuity which occurred due to noise and blurr in original captured image, as comparing to existing edge segmenting processes.
In current time the IT based services demands , services deployment cost , scalability issues and many more constraints have paved the way for focusing on cloud computing. Cloud computing is the structure of a central server resources distributed on the platform scalable environment to provide "on demand" computing resources. In this research in detail the various structures of cloud computing are reviewed. The applications of these architectures are discussed for different areas of life. Also the different working domains of cloud computing architectures are summarized . The purpose of this research is to provide understanding to the students , professionals, developers and researchers about cloud computing.