Abstract In radar system to achieve high visibility of clutter, blind speed personate severe limitation on the proper detection and tracking of MTI radar. By changing the pulse repetition interval which can increase the tolerable values of the blind speed. A severe problem may arise in the form of blind Doppler, no detection of target. To eliminate these blind speeds... In radar system to achieve high visibility of clutter, blind speed personate severe limitation on the proper detection and tracking of MTI radar. By changing the pulse repetition interval which can increase the tolerable values of the blind speed. A severe problem may arise in the form of blind Doppler, no detection of target. To eliminate these blind speeds possible method of PRF staggering is used. Instead of using two radar to alleviate the blind speed of two different PRF,s single radar can minimize the effect of blind speed by two or different PRFs. in this paper systematic method is designed to eliminate the blind speed. Read More Read Less

Abstract Cloud Computing technology can be used more and more in IT projects due to less cost and friendly use environments. With the use of cloud hardware infrastructure the energy power can be decrease by following factors: Dynamic provisioning, multi-tenancy, server utilization and data centre efficiency. This paper discuss the various approaches for energy saving, high performance with low cost and... Cloud Computing technology can be used more and more in IT projects due to less cost and friendly use environments. With the use of cloud hardware infrastructure the energy power can be decrease by following factors: Dynamic provisioning, multi-tenancy, server utilization and data centre efficiency. This paper discuss the various approaches for energy saving, high performance with low cost and based on accurate measurement of energy consumption of cloud computing. Read More Read Less

Abstract Operating systems serve as executing platforms and resource manager and supervisors for the applications in running phase. With the development of more complex computer systems and applications, the required operating systems become complex too. But the proper management of such complex operating systems by human beings has shown to be impractical. Nowadays, self-managing concepts provide the basis for developing appropriate... Operating systems serve as executing platforms and resource manager and supervisors for the applications in running phase. With the development of more complex computer systems and applications, the required operating systems become complex too. But the proper management of such complex operating systems by human beings has shown to be impractical. Nowadays, self-managing concepts provide the basis for developing appropriate mechanisms to handle complex systems with minimum human interventions. Although the implications of deploying self-managing and autonomic attributes and concepts at the application levels have been studied, their deployment at system software level such as in operating systems have not been fully studied. Self-managed applications may not enjoy the whole benefit of self-management if the platform on which they run, specially its operating system, is not self-managed. Given this requirement, this paper highlights the most frequently occurred faults and anomalies of operating systems, and proposes a tiered operating system architecture and model, and a corresponding self-healing mechanism using machine learning techniques to show how self-managing can be realized at operating system level. Based on the principles of autonomic computing and self-adapting system research, we identify self-healing systems’ fundamental principles. The main objective has been to design the operating system resilient to operating system faults without restarting the operating system and less human interaction. Read More Read Less