S. Siva Sankara Sai

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Scheduling is very important in real time environment, where users must be provided services by considering factors like QoS and channel quality. A novel analysis on the performance of downlink packet scheduling algorithms in Long Term Evolution (LTE) networks is presented. LTE with multimedia traffic is modelled with Network Simulator (NS-3) in compliance(More)
Oxygen availability is a potential rate-limiting step in the bioelectrochemical process catalyzed by microbes in microbial fuel cells (MFC). Determination of oxygen availability using a minimally invasive oxygen sensor is advantageous in terms of ease of usage, maintenance and cost-effectiveness as compared to using conventional probe-type oxygen sensors.(More)
A conventional round robin is a distinctive approach to the CPU scheduling algorithm. It is somehow related to the First Come First Serve approach with preemption included to give a fair chance to all the processes to execute waiting in the ready queue. A fixed time period known as time quantum is defined. The predominant round robin is an impartial(More)
TLBO is a newly introduced population based optimization algorithm inspired by passing on knowledge within a classroom environment. The most prominent feature of TLBO is that it does not require the algorithm parameters to be tuned. This paper proposes a Hybridized Teaching-Learning-Based Optimization (HTLBO) Technique in order to abstract/gain useful(More)
Evaluation of herbs for anti-fertility effects has been in progress worldwide for several decades to identify effective and safe substances for control of population explosion. This population explosion will have negative impact on our economic policies and would simultaneously misbalance our socioeconomic infrastructure. Family planning has been promoted(More)
We explore the effects of crystallite size (L(a)) on the linear and non-linear optical properties of chemical vapor deposition grown polycrystalline graphene. The π-plasmon resonance present at ∼4.75 eV (∼260 nm) in the optical absorption spectrum of graphene follows the empirical relationship λ(π) = 250.5 nm + 89.5 nm(2)/L(a), where λ(π) represents the(More)
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