M
Muhammad Aamir
Researcher at Sir Syed University of Engineering and Technology
Publications - 48
Citations - 430
Muhammad Aamir is an academic researcher from Sir Syed University of Engineering and Technology. The author has contributed to research in topics: SCADA & Control theory. The author has an hindex of 9, co-authored 48 publications receiving 301 citations. Previous affiliations of Muhammad Aamir include Mehran University of Engineering and Technology.
Papers
More filters
Proceedings ArticleDOI
Design and implementation of AMR Smart Grid System
TL;DR: In this article, the concepts of installation of standalone automated metering system which only enable monitoring of load on transformers, automated reading with full controlling features using SCADA system where as metering management system operating separately.
Proceedings Article
Internet of Things (IoT) enabled smart animal farm
Muhammad Hunain Memon,Wanod Kumar,Azam Rafique Memon,Bhawani Shankar Chowdhry,Muhammad Aamir,Pardeep Kumar +5 more
TL;DR: This paper develops an IoT based smart animal farm that should provide feed and water as required, exhaust the excess of biogas which is produced by the animals' waste, and detect fire in the farm.
Journal ArticleDOI
Fuzzy-Based Hybrid Control Algorithm for the Stabilization of a Tri-Rotor UAV.
TL;DR: The proposed fuzzy hybrid controller with nonlinear flight dynamics is shown in the presence of translational and rotational velocity components, and shows that the proposed algorithm has better transient performance with zero steady-state error, and fast convergence towards stability.
Journal ArticleDOI
UAV Based Data Gathering in Wireless Sensor Networks
TL;DR: This paper addresses the problem of data gathering from a WSN with altitude controlled UAV with the help of simulation results that verify the effectiveness of the proposed method.
Journal ArticleDOI
Towards Development of a Low Cost Early Fire Detection System Using Wireless Sensor Network and Machine Vision
TL;DR: In this paper, a low-cost wireless sensor-based system for surveillance and early fire detection, using machine vision technique, is presented, which consists of an on-board camera node, capable of transmitting videos over wireless network to a remote host computer that runs an image processing based fire detection algorithm.