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Solar power plant with MPPT algorithm

This Document presents the Solar Power plant with the MPPT algorithm. The increase in usage of Electrical energy has encouraged the growth of different types of conventional power generating systems like hydroelectric, thermal, wind, solar, nuclear, geothermal, etc. In this project, we developed solar panels with the MPPT algorithm to operate the photovoltaic modules in a manner to extract the maximum power from the system. This method can increase the tracking efficiency.

Published by: M. Divya

Author: M. Divya

Paper ID: V8I2-1314

Paper Status: published

Published: April 23, 2022

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Research Paper

Visitor information management and analysis system: Neeri-pass

The visitor entry system is designed to close the visitor registration center and visitor information management services, it will be able to speed up the visitor registration process, determine who is on the premises after the meeting and inform the system. This is a review paper in which the system solves the problem of appointments and it electively captures all-relevant information about the visitors and that information is recorded in the centralized database server, which provides data management and manipulation through searching for future purposes in the organization. The benefits of the Visitor Gate pass Management System are enhancing the level of security enforced on-premises, providing an organized view of visitor records, and reducing the time spent on managing visitor information.

Published by: Barkha Ramteke, Dr. Sonali Ridhorkar

Author: Barkha Ramteke

Paper ID: V8I2-1316

Paper Status: published

Published: April 23, 2022

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Research Paper

Hydrochemical analysis and assessment of groundwater quality in and around Yadadri district, Telangana, India.

This study looks at the types of groundwater and water quality in a semi-arid watershed in southern India that includes 35 settlements. In both seasons, cation concentrations (Na+> Ca2+> Mg2+> K+) and anions (HCO3- > Cl > NO3-> SO 2-> PO43-) follow a consistent pattern across most of Peninsular India. The sodium-bicarbonate-chloride (Na+-HCO3-Cl-) classifies the groundwater. The influence of natural sources on groundwater composition across the watershed's communities is demonstrated by a Pearson correlation study of important ions. The water composition of these communities, according to Gibb's plot, is the result of rock and water interaction during infiltration and aquifer storage. Due to a severe water deficit in this region, particularly during the pre-monsoon season, deep bore wells have been drilled for both home and agricultural purposes. All of the physical dimensions and chemical contents exceed the World Health Organization (WHO) and Bureau of Indian Standards (BIS) permissible limits, rendering it unsafe for drinking, domestic, or agricultural use. Around 54 percent of groundwater samples, regardless of season, are found to be unfit for irrigation (KR 1). During the post-monsoon season, groundwater from villages near the local river (Bukleru river) is only acceptable for irrigation (KR>1).

Published by: Bharath Kumar Punna, Botla Amarender, K. Praveen Reddy, G. Prabhakar

Author: Bharath Kumar Punna

Paper ID: V8I2-1315

Paper Status: published

Published: April 23, 2022

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Research Paper

Vison-based human activity recognition

There have been substantial advances in HAR (Human Activity Recognition) in the past several years due to the advancement of the IoT (Internet of Things). HAR may be used in a range of contexts, including elder care, surveillance systems, and anomalous behavior detection. Different machine learning techniques have been used to anticipate human actions in a particular circumstance. Feature engineering techniques, which may pick an ideal collection of features, have outperformed typical machine learning techniques. Deep learning models, like CNN (Convolutional Neural Networks), on the other hand, are known to extract features and minimize computing costs automatically. We employ the CNN model for predicting actions from the Weizmann Dataset in this article. To extract deep image features and trained machine learning classifiers, transfer learning is used in particular. We found that VGG-16 has an accuracy of 96.95 percent in our experiments. We also found that VGG-16 outperformed the rest of the CNN models that were used in our experiments.

Published by: M. Madhusudhan, B. Manish Kumar, P Rohit, V. Sri Ram Reddy, V. Sai Chandana

Author: M. Madhusudhan

Paper ID: V8I2-1320

Paper Status: published

Published: April 23, 2022

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Research Paper

Voice control home automation using adafruit io and IFTTT

Automation plays a key role in human life. Home automation allows us to control household electrical appliances like lights, doors, fans, AC, etc. It also provides home security and emergency system to be activated. Home automation not only refers to reducing human efforts but also energy efficiency and time-saving. The main objective of home automation and security is to help handicapped and old-aged people who will enable them to control home appliances and alert them in critical situations.

Published by: Surendhiran Tamilalagan

Author: Surendhiran Tamilalagan

Paper ID: V8I2-1318

Paper Status: published

Published: April 22, 2022

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Dissertations

Research thesis- Load Flow Studies and Dynamic Simulation of Power System: A case study of interconnection for new Run-of-River Hydropower Plant at Machai with National Grid

Load Flow studies and Dynamic simulation of 132 kV Network using PSSE SOFTWARE by interconnecting new run of river renewable energy that is Hydropower plant at machair with the national grid

Published by: Nageen Jalal

Author: Nageen Jalal

Paper ID: V8I2-1232

Paper Status: published

Published: April 22, 2022

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