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Research Paper

Power Loss and Voltage Profile in Distribution System by Neural Network

The objective of power system operation is to meet the demand at all the locations within the power network as economically and reliably as possible. The traditional electric power generation systems utilize the conventional energy resources, such as fossil fuels, hydro, nuclear etc. for electricity generation. The operation of such traditional generation systems is based on centralized control utility generators, delivering power through an extensive transmission and distribution system, to meet the given demands of widely dispersed users. Nowadays, the justification for the large central-station plants is weakening due to depleting conventional resources, increased transmission and distribution costs, deregulation trends, heightened environmental concerns, and technological advancements. location and size of the DGs before and after radial network reconfiguration are determined using a multi-objective particle swarm optimization technique. In an active distribution network, an ideal network layout with DG coordination eliminates power losses, elevates voltage profiles, and enhances system stability, reliability, and efficiency.

Published by: Sandeep Kaur, Tejpal Singh

Author: Sandeep Kaur

Paper ID: V8I3-1337

Paper Status: published

Published: May 23, 2022

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Research Paper

Accident detection system

In this project, we detect the accident between two vehicles. For the purpose of detection, we use certain algorithms such as YOLO and CNN (Convolutional Neural Networks). This project is mainly built upon the combination of Object Detection and Tracking System (which is also abbreviated as ODTS) and RCNN algorithms which are mainly used for detecting purposes. In this project, a video is given as input where the coded algorithm completely separates the video into frames and analyzes the-each frame and detects the crash in the frames, and gives those frames as an output. In addition to accident detection, YOLO also detects the surroundings such as persons, cars, trucks, etc. The main point of using YOLO is to detect the surroundings and the crash (with the help of CNN).

Published by: Manideep Pallerla, Anusha Nallamalla

Author: Manideep Pallerla

Paper ID: V8I3-1335

Paper Status: published

Published: May 23, 2022

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Research Paper

Annotations on files

Real-time collaborative editing allows multiple users to edit a shared document at once. It has received a lot of attention from both industry and education and gained popularity due to the wide availability of free services like Google Docs. Although these shared editing programs were originally used in situations that included only a small set of users such as writing a research article, these days we are seeing a change in scale from fewer users to user communities. [2] Annotation can be an important function when trying to understand new information. The methodology can be used to create a ‘summary’ version of real information for later review and to add additional information to an existing document. The growth in web-based learning materials and information sources has created a requirement for systems that allow annotations to be attached to these new sources and, potentially, shared with other learners.[3]

Published by: Vipul Shinde, Siddhant Rathi, Mansi Parmar, Darshana Kumbhakarna, Deepa Sapkal

Author: Vipul Shinde

Paper ID: V8I3-1314

Paper Status: published

Published: May 20, 2022

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Research Paper

Caption generator for random images using CNN & LSTM

With the rapid growth of artificial intelligence in recent years, picture caption has steadily grabbed the attention of many artificial intelligence researchers and has become an important study topic. alluring and arduous task. Image captioning and spontaneously generating natural human language captions according to the content observed in the above-captured image is an important part of scene understanding, which requires the knowledge of computer vision and natural language processing. The operation of the image caption generator is far-reaching and eloquent, for instance, the realization of human-computer interactions. This paper encapsulates methods and focuses on the attention mechanism, which plays a vital role in computer vision and is recently used in image caption generation tasks.

Published by: Ranga Prasad, B.Satyanarayana, Shaik Shahid

Author: Ranga Prasad

Paper ID: V8I3-1313

Paper Status: published

Published: May 20, 2022

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Research Paper

Comparative Study of Conventional Frame and diagonally intersecting metal with Geometric Irregularities

High-rise buildings are more vulnerable tocollapseduetohighwindandearthquakepressure.Insuchabuildingriskoffailurecanbeminimizedbyadoptinglateralloadresistingsystem.Inthisstudy,wecomparedthreelateralloadresistingframei.e.diagrid frame and chevron braced frame with conventional frame system. The seismic analysis is done on these three frames. Thestructures are analyzed by linear static method. The building is considered to be irregular in plan. For irregular plan, C-shape plan,T-shape plan considered. The results are obtained after analysis are compared by various parameters like storey drift, absolutedisplacement, base shear, moment and axial forces. The First Comparison is between diagridsystem, chevron braced system andconventional frame system for C-Type and T-Plan separately and after that second overall comparison is between C-Plan and T-plan.The analysis is done on by using STAAD Software. The result of work showed that diagrid system resist lateral moreefficiently than chevron braced system and conventional frame system as it yields the least value for absolute displacement, storeydrift,topstoreyshear andbaseshear.

Published by: Priya Uikey, Girish Sawai

Author: Priya Uikey

Paper ID: V8I3-1316

Paper Status: published

Published: May 20, 2022

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Survey Report

A Survey Paper on Health Monitoring Application

The challenge of maintaining a proper diet can be facilitated by the use of mobile phones. Mobile phones provide a fair infrastructure, which can be used to provide cost-effective high-quality aids to behavior monitoring and modification. The nature of mobile phones allows the user for customization and personalization, retrieval of nutrition information on-demand, as well as the ability to truly monitor the user’s consumption trends. This android application is a one-stop solution for all health-related issues and questions. It has various functions like diet tracking, nutritional information about foods, a BMI calculator, and information about some basic medicines.

Published by: Aishwarya K. C., Arpita K. Palled, Akshata B. Kallolli, Tallam Veena Varshini, Parashuram. K. Deshpande

Author: Aishwarya K. C.

Paper ID: V8I3-1317

Paper Status: published

Published: May 20, 2022

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