-5171ffc0182b6af927f-77f2 20220827081502184 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2019 8 2 Associate Professor, Department of Electrical and Electronics Engineering, Gudlavalleru Engineering College, Gudlavalleru, India. Dr. Kishor Babu Gunti Dr. Sree Krishnarayalu Movva Professor, Department of Electrical and Electronics Engineering, V.R. Siddhartha Engineering College, Vijayawada, India. A class of linear discrete multi parameter stable control systems is considered which is notorious for its computational stiffness. For finding the exact solution of these systems special numerical methods need to be used. As an alternative, a singular perturbation method (SPM) is presented for initial and boundary value problems. Power systems are modeled as multi parameter systems due to their multi time scale nature. This SPM is applied to a load frequency control model of two area power system with three parameters as a case study. The results are presented up to second order approximation. They amply support the SPM presented. 07 30 2019 236 244 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3081.078219 https://www.ijrte.org/portfolio-item/A3081058119/ Research Scholar, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India Sunny Agarwal Dr. Sanjeet Kumar Associate Professor, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India Urban floods are different type of flooding event as compared to normally occurring riverine floods which is very often seen along the river banks during heavy rainfall in monsoons. Continuous human interventions in natural vegetative land for rapid Urbanization activities has given rise to Urban Flooding. So, there is a need for capacity analysis of existing storm networks and identification of overflow locations is the need of the study. Hence, in the present study an attempt has been made to simulate Urban Flood scenario for a semi Urban catchment using Storm Water Management Model (SWMM). The whole area is divided into 20 sub catchments and the data acquired from 2017 rainfall events is used for modelling. The study area is represented in SWMM by the help of Master Plan AutoCAD maps having drain lines and Reduced Levels (R.L.s) information. From this detailed elevation information of various nodes and length of pipe lines has been estimated to make the schematic view of the study area in SWMM. The focus of the present study is to model runoff conditions using Dynamic wave method of flood routing and Green-Ampt Infiltration model in SWMM. The results showed that SWMM has capability to model and interpret flows at various channel sections and nodes for mitigating floods. Due to unavailability of gauged flow data the model Parameters needs calibration for more reliable results. Model has effectively given catchment responses for peak flow and volume of runoff which is considered as one of the essential components of Urban drainage planning to mitigate the risk of flood. 07 30 2019 245 251 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3169.078219 https://www.ijrte.org/portfolio-item/A3169058119/ Research Scholar, VIT Business School, VIT University, Chennai, India. Divya V Dr. Sharon Sophia Assistant Professor, VIT Business School, VIT University, Chennai, India The impulse of the study is to examine volatility index of single options share of five different companies. The study emphasizes on the relationship between various VIX stocks when compared with VIX of Apple. The main objective of this study is to predict relationship of volatility index of single options stock of five different companies – Apple, Amazon, Goldman Sachs, Google, IBM. These equity stocks are considered to be the premier stocks which has its independent VIX. The study uses time series model. The test of its relevance is done Correlation, Covariance, ARCH and Granger Causality test. Any change in the VIX index of Amazon, Goldman sacks, IBM will not affect VIX of Apple. There will not be market affect for stock Amazon, Google, VIX and Goldman Sachs. It is the first study to identify the relationship of the volatility index of single options stock of five different companies. 07 30 2019 252 257 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3279.078219 https://www.ijrte.org/portfolio-item/A3279058119/