Journal of Information Technology and Cyber Security Engineering

One non-invasive test which can be used to assess the condition of insulation in power transformers is depolarization current analysis. Phenomena of polarization within the insulation system may be revealed by the measurement of the residual current via the application and removal of a DC voltage. The study provides an insight into the moisture content of the cellulose and the Oil based materials, the aging effects and dielectric behavior. It offers a reliable and fast means of identifying wear out of the insulation materials without the dismemberment of the machineries. Another aid to standard testing is depolarization current analysis which enhances the condition-based maintenance schedules and increases service life, safety and dependability of power transformers.

Keywords : Transformer fault, depolarization current, dielectric response, fault diagnostics, Polarisation current

Author : M Niveditha

Title : Depolarization Current Analysis for Power Transformers

Volume/Issue : 2025;01(01)

Page No : 01-05

This paper investigates the partial discharge (PD) characteristics of the low-density polyethylene (LDPE) composite materials with plasma treated boron nitride (BN) nanoparticles. With BN, surface derivatization of BN through plasma treatment in the LDPE matrix makes nanoparticles disperse more efficiently and inter-nano compatibility. Improved interfacial bonding due to higher trapping properties and reduced charge mobility suppresses activity of PDs to a large extent. In comparison with untreated BN composites, experimental studies show great enhancement in dielectric characteristics such as PD inception voltage and discharge value. These findings indicate that plasma-treated BN can be promising to serve as a nanofiller in the insulation of polymer high-voltage designs to improve its reliability.

Keywords : Low density polyethylene, CIGRE technique, atmospheric pressure plasma, boron nitride, Partial discharge

Author : K Murugesan

Title : LDPE Partial Discharge Properties with Plasma-Treated Boron Nitride

Volume/Issue : 2025;01(01)

Page No : 06-09

To control voltage variations that occur in the electrical power systems, this paper has designed an automatic voltage regulator (AVR) system on the basis of neural networks with two step-down transformers. A feedforward neural network trained on changes of the input voltage is suggested to be used in order to switch transformer taps in the suggested AVR in real time. By the use of two step-down transformers, the technology performs voltage better with a greater redundancy and flexibility. Based on the results of the simulation, the neural network is able to learn non- linear patterns of voltages and help the system respond dynamically in case of sudden change in load, ensuring stable output voltages. The developed system offers better stability, faster recovery time and reduced variation in voltage compared to classical AVR techniques which makes it suitable to modern smart grids and industrial power applications.

Keywords : Logic design, automatic voltage regulator, Transformer step-down neural systems, Auto-biased

Author : Hemalatha and Krishna Kumari

Title : Neural Network-Based Automatic Voltage Regulator Using Two Step-Down Transformers

Volume/Issue : 2025;01(01)

Page No : 10-14

Having focused on the maximum utilization of resources, reducing the execution time, and improving the operational efficiency of the system in general, this paper surveyed and analysed the approaches to the service-based scheduling of tasks in cloud computing environments. The effectiveness of the various scheduling methods, including heuristic-based, metaheuristic-based, and machine learning-based scheduling in dynamic workload and various kind of resources will be explored. The paper highlights critical considerations during the design of an algorithm such as the priority of the tasks, time limit constraint, and affordability. Comparative evaluations have shown that adaptive and smart scheduling techniques dynamically assigning work to appropriate virtual machines are better than traditional static algorithms in terms of scalability, fault tolerance, and performance aspects. Its outcomes allow the provision of enhanced service provision and user satisfaction by providing opportunities regarding the selection and formulation of suitable methods of schedule to meet diverse quality of service (QoS) requirements in clouds infrastructures.

Keywords : Task scheduling, Cloud computing, Quality of service, Algorithms

Author : C Kesava Reddy

Title : Algorithms for Service-Based Task Scheduling in Cloud Computing

Volume/Issue : 2025;01(01)

Page No : 15-19

The idea presented here is a technique to spot rogue access points (RAPs) in wireless area network (WAN) using Hopfield Neural Networks (HNNs). RAPs offer severe security threats since they simulate real access points to capture user data or launch attacks. Evolution of the proposed model. The proposed model has the capacity to detect faults in network behavior such as MAC address spoofing, unusual signal strength, and traffic patterns with the help of the associative memory and pattern recognition properties of Hopfield Networks. The technology can identify the aberration that is indicative of the rogue devices through the training of the network using genuine access point parameters. The HNN-based scheme is a potential alternative to real-time monitoring of wireless networks that might be used in the security of the networks because simulation results indicate that the level of detection accuracy, false positive errors, and rapid response times are tremendous.

Keywords : WLAN, rogue access point, neural network, Hopfield algorithm, and wireless communication

Author : K Kaveri and M Sangeeta

Title : Hopfield Neural Network-Based Rogue Access Point in a Wireless Area Network

Volume/Issue : 2025;01(01)

Page No : 20-23

The Shuffle Exchange Diagonal Mesh (SEDM) interconnection network uses the properties of the mesh, diagonal links and the shuffle-exchange to form a hybrid interconnection network in place to enhance the efficiency of communication in parallel computing systems. SEDM enhances performance by reducing network diameter and average path length and as a result decreases communication latency and increases fault tolerance. Its architecture is consistent and exhibits a regular structure that is suitable to VLSI implementation and it scales. Fault resilience and flexibility of data routing is enhanced by the inclusion of diagonal links and shuffle links thus liberating the topology when compared with conventional mesh and shuffle-exchange networks. Applications that depend on reliable and quick inter-processor communications gain a lot using this design. A de facto prospective design to nextgeneration multiprocessor systems is SEDM as it poses a reasonable compromise between complexity, performance and cost.

Keywords : Traffic patterns, Meshes, OMNET, Interconnection networks

Author : P Krishna Mohan

Title : Shuffle Exchange Diagonal Mesh Interconnection Network

Volume/Issue : 2025;01(01)

Page No : 24-28