Conference Papers
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Item Energy audit of a 400/220 kV substation - A case study(2012) Jaralikar, S.M.; Mangalpady, M.The paper highlights the necessity of undertaking performance analysis and energy audit study of an electrical installation, more particularly a power substation on regular basis. A 630 MVA, 400/220 kV substation was identified and a detailed study was carried out to assess the various station performance parameters under different operating conditions. It was observed that the installed capacity of the station (transformer) was very large compared to the actual load it had to supply. Thus the station was under loaded and underutilized for the major period of its operation. This reduced the operational efficiency of the station. Secondly the incoming line voltage level was remaining high during most of the period of operation. Presently voltage is tried to be maintained by switching ON the line reactors at the receiving and sending ends of this station, switching OFF one of the 400 kV incoming lines during off peak loading conditions, thus risking the supply reliability. The present study emphasizes on the urgent need for improving the power quality, streamlining and optimizing the station capacity, operations and its loading pattern. Accordingly suggestions are proposed for the same. © 2011 IEEE.Item Enhanced Framework for IoT Applications on Python Based Cloud Simulator (PCS)(Institute of Electrical and Electronics Engineers Inc., 2016) Jaiswal, A.; Domanal, S.; Guddeti, G.R.As innovation develops, more human-made devices are able to communicate with each other by means of Internet. This enables the Internet of Things (IoT) era to emerge. The amount of information generated by IoT applications can overpower computer infrastructures which are not prepared for such a huge data hence they need more CPU cycles. Distributed computing offers a solution at infrastructure level that eases such problems by offering highly scalable computing platforms. This necessitates arranging the framework on demand to meet invariant changes which applications require, in a pay-per-use mode. Current methodologies empowering IoT applications are area specific or concentrate just on communication between devices, therefore they can not be effectively deployed to different domains. To address this issue, in this paper, we present a data centric framework for advancement of IoT applications executed in python based cloud simulator. The framework handles association with information sources, information filtering and use of cloud resources including provisioning, load balancing, and planning thus enabling developers to concentrate on the application logic and encouraging the advancement of loT applications. © 2015 IEEE.Item Performance analysis of secondary storage media through file systems benchmarking(Institute of Electrical and Electronics Engineers Inc., 2019) Rakshith, G.; Rozario, R.; Rhevanth, M.; Nikitha, K.M.; Mohan, B.R.Efficient performance of a disk I/O operation involves a multitude of factors such as the type of the disk, I/O scheduling, and the type of the file system used. Due to the various types of file systems available, with each having different structure and logic, properties of speed, flexibility, security, size and more, it becomes imperative to have an objective overview of the merits and demerits of each file system according to the needs of the users. In this work, we present a thorough performance evaluation of ext4, NTFS and Btrfs filesystems along with CFQ, NOOP and Deadline I/O schedulers tested on regular hard disk drives and SSDs. © 2019 IEEE.Item Underwater Acoustic Sensor Networks’ Performance Evaluation Tool (UASN-PET) for UnetStack(Springer Science and Business Media Deutschland GmbH, 2022) Kushwaha, H.S.; Chandavarkar, B.R.An underwater sensor network simulator is an analytical tool used to analyze the network performance of a WSN (Wireless Sensor Network). There are various underwater network simulators such as NS2-MIRACLE, SUNSET, Aqua-Net/Mate, DESERT, and UnetStack. However UnetStack is more compatible to real modems from the deployment point of view in comparison with other. UnetStack creates a log-0.txt file and a trace.json file after compiling a groovy file. These trace files are analyzed to get data for per- performance study of a new protocol. To make the process of getting data for performance studies easier, the Underwater Acoustic Sensor Networks Performance Evaluation Tool (UASN-PET) for UnetStack is proposed. This tool helps in extracting and presenting a performance study of a network topology through an interactive GUI. UASN-PET for UnetStack is written in Python so that researchers can spend more time and attention on developing new protocols rather than analyzing trace files. This paper also discusses UnetStack’s trace file format © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Item Stratification of Depressed and Non-Depressed Texts from Social Media using LSTM and its Variants(Elsevier B.V., 2024) Keerthan Kumar, T.G.K.; Anoop, R.; Koolagudi, S.G.; Rao, T.; Kodipalli, A.This work examines the performance of various LSTM (long short-term memory) variants on social media text data. This study evaluates the performance of LSTM models with different architectures, namely, classic LSTM, Bidirectional LSTM, Stacked LSTM, gated recurrent unit (GRU), and bidirectional GRU, on a social network dataset comprising texts extracted from multiple social media platforms. We aim to identify the most effective LSTM variant of the five considered LSTM models for text analysis through a comparative study of the models' precision, recall, F1-score, and accuracy. The research findings show that the Classic LSTM and the GRU model perform better than the other models in accuracy. In contrast, the bidirectional models (Bidirectional LSTM and Bidirectional GRU) provide better precision scores than their respective primitive models. This research has significant implications for developing more efficient models for natural language processing applications. It offers beneficial insights into the implications involving the scrutiny of depression on social media platforms through text data analysis. © 2024 Elsevier B.V.. All rights reserved.Item A Comprehensive Review on Result Extraction and Analysis in Underwater Network Simulators: A UnetStack Perspective(Springer Science and Business Media Deutschland GmbH, 2025) Gadagkar, A.V.; Chandavarkar, B.R.; Kushwaha, H.S.Simulation of Underwater Acoustic Sensor networks (UASNs) enables researchers to test and verify the protocols or techniques developed quickly and inexpensively. Many underwater network simulation platforms are available such as NS-2 Miracle, Aqua-Net, DESERT, SUNSET, and UnetStack. After conducting a simulation, any simulation platform typically generates a simulation trace or log file. This file has to be processed further to analyze the network performance. However, this requires writing additional scripts or programs, making processing trace files laborious, time-consuming, and prone to error. Thus, a tool that can automate this task of processing the simulation traces and extracting the required result for network performance analysis would help the researchers to focus on developing and validating their work. A few automated tools are available for specific simulators, but no such automated tool is available for the UnetStack simulator. UnetStack is a popular industry standard underwater network simulation platform used in research and development. The community edition is freely and publicly available for research and academia. This work reviews the process and the tools for result extraction and analysis. Furthermore, the work discusses details on available methods in UnetStack for extracting and analyzing the results with their limitations and the scope for building an automated trace analysis tool and finally gives concluding remarks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.