Volume 7 Issue 2 April-June 2019
VOLTAGE PROFILE ENHANCEMENT OF ELECTRICAL DISTRIBUTION NETWORK USING FUZZY LOGIC CONTROLLER [pp 01-05]
Pratiksha Mishra, Hemant Malha
Abstract: Flexible AC Transmission Systems (FACTS) Controllers are used to increase transmission capacity by damping the power system oscillations and regulating the bus voltage at which the Static Compensator is connected. The focus in this paper is to describe the use of Fuzzy Logic Controller with STATCOM Controllers and compare them in static voltage stability improvements for the damping of the IEEE 14 Bus power system oscillations. A Single line diagram of ….
A REVIEW OF TRANSMISSION LINES OVERLOAD ALLEVIATION USING VARIANTS OF PSO [pp 06-09]
Rashmi Singh, Kausal Sen
Abstract: Transmission lines in Electric Power System are becoming heavily loaded and will further affect system stability. With rapid growth of electricity market trades and the availability of insufficient transmission resources leads to network congestion. Real-time transmission congestion is defined as the operating condition in which there is not enough…..
TRANSMISSION OVERLOAD MANAGEMENT USING VIW-PSO [10-13]
Rashmi Singh, Kausal Sen
Abstract: Deregulation of the electricity sector has brought the benefits of supplying electricity at lower rates, better service quality and large-volume electricity trade can be conducted cross-border in the competitive electricity markets. But such large….
A STUDY OF FLEXIBLE FIXTURE USING COMPUTER AIDED FIXTURE DESIGN NEED AND APPLICATION OF RECONFIGURABLE FIXTURE DESIGN [pp 14-18]
Ashish Tripathi, Arun Singh Patel
Abstract: Jigs and fixtures are the special production tools which make the standard machine tool, more versatile to work as specialized machine tools. They are normally used in large scale production by semi-skilled operators; however they are also used in small scale production by when interchangeability is important. Various areas related to design of fixture are already been very well described by various renowned authors, but there is a need to couple and apply all these….
CONGESTION MANAGEMENT USING GENETIC ALGORITHM [pp 19-23]
Sandeep Patil, Naveen Asati
Abstract: In deregulated period of power system, load characteristics become more erratic. Unplanned transactions of electrical power through transmission lines of particular path may occur due to low cost offered by generating companies. As a consequence those lines driven close to their operating limits and becomes congested as the lines are originally designed for traditional vertically integrated structure….
Advancements in Weapon Detection: A Systematic Review Using Deep Learning in Surveillance Footage [pp 24-31]
Dr. Sajeeda Parveen Shaik
DOI- 10.55083/irjeas.2019.v7i02006
Abstract: Weapon detection in surveillance footage is a critical aspect of modern security systems, aiming to prevent potential threats and enhance public safety. Traditional methods of weapon detection often rely on manual inspection, which is labor-intensive and prone to errors. With the advent of deep learning techniques, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), there has been a significant shift towards automated and efficient weapon detection in surveillance footage. This systematic review provides an in-depth analysis of recent advancements in weapon detection using deep learning methodologies. Through a systematic search and evaluation of existing literature, this review examines the methodologies, datasets, performance metrics, and challenges encountered in various studies. It explores the effectiveness of deep learning models in detecting weapons with high accuracy and speed, while also addressing factors such as dataset diversity, annotation quality, and real-world applicability. Additionally, the review discusses the impact of transfer learning, data augmentation techniques, and model architectures on the performance of weapon detection systems. Furthermore, it highlights the role of domain adaptation and fine-tuning strategies in improving the generalization capabilities of deep learning models across different surveillance environments. The review also delves into the ethical considerations and privacy implications associated with the deployment of automated weapon detection systems in public spaces. By synthesizing findings from diverse studies, this comprehensive overview aims to provide valuable insights for researchers, practitioners, and policymakers involved in the development and implementation of advanced surveillance technologies for public safety and security purposes.