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- 저자 : Ramya Suresh (검색결과 2 건)
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Ramya Suresh,Baskar Rajoo,Maheswari Chenniappan,Manikandan Palanichamy 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.5
The present study focused on the various advanced oxidation processes; Ozone, UV radiation, O₃/H₂O₂, O₃/UV, UV/H₂O₂ and O₃/UV/H₂O₂ for treatability of dairy industry wastewater. With this aim, the trials were carried out in cylindrical reactor fortified with UV radiation and Ozone injection. Efficiency of the treatment process was evaluated considering Chemical Oxygen Demand (COD), lactose reduction and process parameters were determined to be reaction time, pH, circulation rate, and H₂O₂ dosage. 32.5%, 35.2% , 25%, 83% COD and 40.6%, 43.6%, 38.2%, 80% lactose reduction efficiency were obtained under the operating conditions for O₃/H₂O₂, O₃/UV, UV/H₂O₂ and O₃/UV/H₂O₂ processes, respectively. As per this outcome, UV/H₂O₂/O₃ process gave more than 65% of COD and 52.36% of lactose reduction efficiency than other hybrid processes. Optimum conditions for UV/H₂O₂/O₃ process (pH = 5, time = 180 mins, circulation rate = 50 mL/h and H₂O₂ dosage of 0.5 mL) resulted in 88% of COD and 93.4% lactose reduction.
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V.Saranya,S.Ramya,R.G. Suresh Kumar,T.Nalini 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.3
Cloud computing is a technology in which the Cloud Service Providers (CSP) provide many virtual servers to the users to store their information in the cloud. The faults occurring on the assignment and dismission of the virtual machines, the processing cost in the allocation of resources must also be considered. The parallel processing of the information on the virtual machines must be done effectively and in an efficient manner. A variety of systems were developed to facilitate Many Task Computing (MTC). These systems aim to hide the issues of parallelism and fault tolerant and they are used in many applications. In this paper, we introduced Nephele, a data processing framework to exploit dynamic resource provisioning offered by IaaS clouds. The performance evaluation of the virtual machines has been evaluated and the allocation and de-allocation of job tasks to the specific virtual machines has also been considered. A performance comparison with the well known data processing framework hadoop has been done. Thus this paper tells about the effective and efficient manner of processing the data by parallel processing and allocating the correct resources for the desired task. It also helps to reduce the cost of resource utilization by exploiting the dynamic resource utilization.
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