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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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Research Paper

Research proposal- Small Hydropower Impact on-Grid Stability -A case study at Mardan II grid and Relevant 132KV Network

Load Flow studies and dynamic simulation of 132 kV network by interconnecting 2.6 MW to the Network and its short circuit analysis

Published by: Nageen Jalal

Author: Nageen Jalal

Paper ID: V8I2-1231

Paper Status: published

Published: April 22, 2022

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Research Paper

Design of feedforward controller for fast controllability of active power of VSC-connected to weak AC network

The installation of the Feedforward controller on the sending end of the Weak Ac network and its impact on the controllability of Active power and voltage droop control is analyzed. Better disturbance rejection performance of voltage droop control can be achieved through Fast power controllers. It will sense fault

Published by: Nageen Jalal

Author: Nageen Jalal

Paper ID: V8I2-1272

Paper Status: published

Published: April 22, 2022

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Research Paper

Technical and environmental analysis of SHP in RET Screen: A case study of power production at Machai/Mardan

Pakistan’s economy is directly affected by Power conjuncture causing energy failure on regular basis for long duration and shut down of industrial units causing social disorganization. Because of population growth and need in economy advancement it’s estimated that national electricity demand will continue to grow at 10 % per annum. The environmental impacts associated with hydroelectric developments that incorporate water storage (typically larger in size) are mainly related to the creation of a water storage reservoir. The RET Screen International Clean Energy Project Analysis Software addresses a number of renewable energy electricity generating technologies. The four most widely applied technologies are Wind energy, photovoltaic, small hydro and biomass combustion power technologies. The energy available from a hydro turbine is proportional to the quantity of water passing through the turbine per unit of time and the vertical difference between the turbine and the surface of water at the inlet (i.e. head).

Published by: Nageen Jalal, Dr. Anjum Khalid

Author: Nageen Jalal

Paper ID: V8I2-1257

Paper Status: published

Published: April 22, 2022

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