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The development of cloud computing technologies is rapidly accelerating the integration of telecommunications services and the Internet, by adopting the cloud model the telecommunications industry can on demand ,organize and apply telecommunication resources as a services .The NGN (Next Generation Network), and IMS (intelligent multimedia subsystem) are essentially developed to provide multimedia services over an all-IP based network, however the full realization of both solutions is still is not reachable and it is still far from being widely deployed specially for the IMS, this is despite the development that has been undergoing for years .The main reasons behind that, is the  increasing demands by consumers, fast evolving access technologies , complexity of implementations to meet these growing demands. Cloud computing as fast evolving IT paradigm can be considered as solution for scalability issue of NGN and IMS which may lead to the full realization of NGN and IMS .This Paper presents literature review on researches and trials on cloud based NGN and IMS.

The electrocardiogram (ECG), which represents the electrical activity of the heart, is always chosen as the basic signal for diagnosing cardiac abnormalities and detecting the patient's states. Generally, the various filters are applied (preprocessing) to denoise the artifacts from ECG signal. This step makes the decision making and diagnosis simpler and faster. The most common noise sources are power line interference and baseline wandering. This article discusses different filtering techniques used to denoise the ECG signals.Electrocardiogram signals were downloaded from the MIT-BIH Arrhythmia Database. The MIT-BIH Database was the first set of standard test materials that is generally available to evaluate arrhythmia detection. To remove baseline wander, 4 filters were designed. The filters are a fourth-order high-pass Butterworth filter, a second-order finite impulse response Hamming window, an finite impulse response rectangular window with length L, and an finite impulse response Hanning window. To extract the power line interference (60 Hz), 4 filters were designed: a second-order digital bandpass Butterworth filter, a second-order finite impulse response filter, a Chebyshev filter, and an finite impulse response notch filter with Hanning window. Finally, 5 parameters were used to evaluate filter performance; the parameters are frequency response, phase response, average filter delay (group delay), phase delay, and signal-to-noise ratio. The results show that, for baseline wander filters, a fourthorder high-pass Butterworth filter removes more noise and has no time delay. Power line interference filters have the same signal-to-noise ratio approximately.