Sri Ramakrishna Engineering College

About: Sri Ramakrishna Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Control theory. The organization has 1030 authors who have published 843 publications receiving 3822 citations.

Post earthquake disaster awareness to emergency task force using crowdsourced data

Abstract: Nowadays, reports of disasters are disseminated through social media before they reach the concerned authorities. Despite the timely volume of reports pertaining to natural calamities, the disaster management forces generally face an uphill task in ascertaining the ground-level situation for rescue and relief operations. Motivated by these findings the proposed work, notifies the post-phase situational awareness of an earthquake hit area to the rescue task force. In this work, social media users are analogous to a human sensor network in the crowdsourced initiative. To ensure the credibility of the crowdsourced information, GIS (Global Information System) annotated description are considered for clustering. Then the cluster centers denoting latitude and longitude of the calamity area are visualized via Maptive tool notified via SMS (Short Messaging Service) to the rescue task force from an area outside the disaster. Such crowdsourced description of incidents enables the rescue task force to evacuate people at the incident site and also in nearby locations before the next shockwave or another crisis situation occurs. Experimentation has been carried out to determine the time taken to notify via SMS.

Torque ripple minimization of Matrix Converter-fed PMSM drives using Model Predictive Torque Control

Abstract: A Model Predictive -Direct Torque Control (MP-DTC) technique is proposed for Matrix Converter (MC)-based Permanent Magnet Synchronous Motor (PMSM) drive system, which reduces the torque ripples, does not need the duty cycle calculation, and ensures the fixed switching frequency. The predictive model of PMSM and MC is realized by means of State model. Then, the advanced MC-fed model predictive DTC algorithm is implemented based on cost function evaluation. The simulation results exhibit remarkable torque ripple reduction with the help of Model Predictive Control (MPC). As a result, the proposed strategy is proved to be effective in minimizing the torque ripples for MC-based PMSM drives.

bis‐Hydrazine Metal Glycolates and Chloroacetates: Synthesis, Spectral, and Thermal Studies

Abstract: Octahedral bis‐hydrazine metal glycolates and chloroacetates, [MX2(N2H4)2] n , where M = Co, Ni, or Zn for X = HOCH2COO and M = Mn, Co, Ni, Zn, or Cd for X = ClCH2COO have been prepared and characterised by chemical analyses, magnetic moments, electronic and infrared spectra, and thermal analyses (TG, DTG, and DTA). Infrared spectra show the presence of bridging bidentate (ν(N–N) = 970 cm−1) hydrazines and monodentate carboxylate ions. The thermal studies indicate that the glycolate complexes decompose at lower temperatures (60–450 °C) than the chloroacetates which decompose in the temperature range 100–600 °C. The x‐ray powder diffraction lines imply that the compounds in each series of complexes are isomorphous with each other. However, there appears to be no similarity in the x‐ray powder diffraction pattern between the two series of complexes.