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Nigam, Shivangi
- Air Quality Index-A Comparative Study for Assessing the Status of Air Quality
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Authors
Affiliations
1 CSIR-National Environmental Engineering Research Institute, APC Division, Nehru Marg, Nagpur-440020, IN
2 Environmental Engineering Department, VNIT, Nagpur, IN
1 CSIR-National Environmental Engineering Research Institute, APC Division, Nehru Marg, Nagpur-440020, IN
2 Environmental Engineering Department, VNIT, Nagpur, IN
Source
Research Journal of Engineering and Technology, Vol 6, No 2 (2015), Pagination: 267-274Abstract
Air quality Index is a tool for identify the present scenario of air quality. Six different methods of estimating Air quality Index (AQI) based on four pollutants synergistic effect viz., PM10, PM2.5, SO2 and NO2 were used to compare the prevailing ambient air quality in the study region. The average concentration of PM10, PM2.5, SO2 and NO2 are in 82.59, 61.61, 27.19 and 3.92 μg/m3 in was observed in May June respectively. Similarly the levels in June-July 2014 were observed as 57.96, 43.27, 14.24 and 2.54 μg/m3 respectively while the concentration in July-August 2014 were found as 39.37, 32.89, 10.44 and 2.92μg/m3 respectively, in August- September 2014 were 30.08, 32.53, 12.18 and 2.90 μg/m3 respectively and the levels in Sept-Oct 2014 were found as PM10, PM2.5, SO2 and NO2 are in 93.66, 94.04, 23.39 and 6.85 μg/m3 respectively. Seasonal and daily AQI calculation revealed that air quality status in the study region under various classes ranging from good, moderate, satisfactory and unacceptable class for different AQI calculation.Keywords
Air Quality Index (AQI), Oak Ridge National Air Quality Index (ORAQI), Break Point Concentration, SPSS-Factor Analysis, Nagpur.
- An Optimal Resource Provisioning Algorithm for Cloud Computing Environment
Abstract Views :222 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Application, Shri Ramswaroop Memorial University, Deva Road, Lucknow, IN
1 Department of Computer Application, Shri Ramswaroop Memorial University, Deva Road, Lucknow, IN
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 2 (2017), Pagination: 371-384Abstract
Resource Provisioning in a Cloud Computing Environment ensures flexible and dynamic access of the cloud resources to the end users. The Multi-Objective Decision Making approach considers assigning priorities to the decision alternatives in the environment. Each alternative represents a cloud resource defined in terms of various characteristics termed as decision criteria. The provisioning objectives refer to the heterogeneous requirements of the cloud users. This research study proposes a Resource Interest Score Evaluation Optimal Resource Provisioning (RISE-ORP) algorithm which uses Analytical Hierarchy Process (AHP) and Ant Colony Optimization (ACO) as a unified MOMD approach to design an optimal resource provisioning system. It uses AHP as a method to rank the cloud resources for provisioning. The ACO is used to examine the cloud resources for which resource traits best satisfy the provisioning. The performance of this approach is analyzed using CloudSim. The experimental results show that our approach offers improvement in the performance of previously used AHP approach for resource provisioning.
Keywords
Cloud Computing, Resource Provisioning, Analytical Hierarchy Process, Ant Colony Optimization.Full Text
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