14 hasil untuk "P. Mathiyalagan"

GRID SCHEDULING USING ENHANCED ANT COLONY ALGORITHM

P. Mathiyalagan; U.R.Dhepthie; S.N. Sivanandam

ICTACT Journal on Soft Computing, Vol. 1 No. 2 · 2010 · Inggris · DOAJ

Grid computing is a high performance computing used to solve larger scale computational demands. Task scheduling is a major issue in grid computing systems. Scheduling of tasks is the NP hard problem. The heuristic approach provides optimal solution for NP hard problems .The ant colony algorithm…

ENHANCED HYBRID PSO – ACO ALGORITHM FOR GRID SCHEDULING

P. Mathiyalagan; U.R. Dhepthie; S.N. Sivanandam

ICTACT Journal on Soft Computing, Vol. 1 No. 1 · 2010 · Inggris · DOAJ

Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on. Task scheduling is a fundamental issue in achieving high performance in grid…

HYBRIDIZATION OF MODIFIED ANT COLONY OPTIMIZATION AND INTELLIGENT WATER DROPS ALGORITHM FOR JOB SCHEDULING IN COMPUTATIONAL GRID

P. Mathiyalagan; S. N. Sivanandam; K. S. Saranya

ICTACT Journal on Soft Computing, Vol. 4 No. 1 · 2013 · Inggris · DOAJ

As grid is a heterogeneous environment, finding an optimal schedule for the job is always a complex task. In this paper, a hybridization technique using intelligent water drops and Ant colony optimization which are nature-inspired swarm intelligence approaches are used to find the best resource for…

Conv-ViT: An improved discrete convolution-based vision transformer for diabetic retinopathy detection

B. Chitradevi; P. Mathiyalagan; A. Ramachandran dkk.

Franklin Open, Vol. 14 · 2026 · Inggris · DOAJ Scopus

Timely detection of Diabetic Retinopathy (DR), a major cause of irreversible blindness, is important to avert vision impairment. Present computer-aided diagnostic methods often suffer from poor segmentation, image noise, and a lack of generalization across datasets. This study proposes Conv-ViT, a…

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review

Chinthamu Narender; Ashish; P Mathiyalagan dkk.

ITM Web of Conferences, Vol. 76 · 2025 · Inggris · DOAJ

Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining methodologies. However existing works mainly focus on…

Human-Robot Interaction Designing Intuitive Interfaces for Collaborative Robotics in Manufacturing

M Vikram; Ashish; Sudha Nellore dkk.

ITM Web of Conferences, Vol. 76 · 2025 · Inggris · DOAJ

Human-Robot Interaction (HRI) has emerged as a critical component in contemporary manufacturing systems, particularly within the domain of collaborative robotics, where intuitive interfaces play a vital role in improving productivity, efficiency, and safety. This study seeks to meet the major…

Edge Computing Architectures for Low-Latency Data Processing in Internet of Things Applications

Banoth Sreenu; M Vineesha; Punna Hari Shankar dkk.

ITM Web of Conferences, Vol. 76 · 2025 · Inggris · DOAJ

The explosion of Internet of Things (IoT) devices is leading to a need for ever-increasing low-latency data processing and real-time decision-making. Conventional cloud-based architectures, on the other hand, usually lead to high latency and bandwidth constraints which are not compliant to…

Robotic Process Automation in Business Processes Streamlining Operations Through Automation Technologies

Chinthamu Narender; Ashish; P Victor Emmanuel dkk.

ITM Web of Conferences, Vol. 76 · 2025 · Inggris · DOAJ

RPA also known as Robotic Process Automation is revolutionizing the way businesses operate by automating mundane tasks, increasing operational efficiency, and lowering the overall operational cost. Yet, researchers study theoretical benefits prevalent in the State of the Art, without validating…

Enhancing tensile strength of 3D-printed wood-PLA composites via a particle swarm optimization framework

Biplab Bhattacharjee; P. Mathiyalagan; Koushik V. Prasad dkk.

PLOS One, Vol. 21 No. 3 · 2026 · Inggris · PLOS Scopus

In the evolving landscape of additive manufacturing, this study pioneers the optimization of FDM (Fused Deposition Modelling) parameters to enhance the tensile performance of eco-friendly Wood-PLA composites. Leveraging the systematic Taguchi L9 orthogonal array, the investigation explored the…

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Blockchain In Supply Chain Management Enhancing Traceability and Reducing Counterfeiting

Francis Sajo; G T Thiru Arooran; V Rajesh dkk.

ITM Web of Conferences, Vol. 76 · 2025 · Inggris · DOAJ

Here is its sentence format:Blockchain in supply chain Blockchain technology can provide traceability, reduce counterfeiting, and improve overall process efficiency in your supply chain management. Yet obstacles, including but not limited to scalability, complex integration, cost implications…

Artificial Intelligence Applications in Autonomous Vehicles Navigating the Future of Transportation Systems

Gondhalekar Gaurav; Prem M Vigilson; P Mathiyalagan dkk.

ITM Web of Conferences, Vol. 76 · 2025 · Inggris · DOAJ

AI technology is advancing rapidly and is being applied to the autonomous vehicle industry to provide safer, more efficient, and more sustainable transport. While advancements have been substantial, there remain issues surrounding validation in the real world, computational expense, adaptability…

Fabrication and analysis of mechanical properties of PVC/Glass fiber/graphene nano composite pipes

G Shanmugasundar; M Vanitha; L Ganesh Babu dkk.

Materials Research Express, Vol. 7 No. 11 · 2020 · Inggris · DOAJ Scopus

The aim of this work is to examine the conventional moulding method for manufacturing the PVC/Glass fiber/graphene nano composites. Uniform graphene dispersion is observed with the matrix for better bonding. The Mechanical properties of the manufactured nano composites have been done in this work…