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Jeen Marseline, K. S.
- Robust Face Recognition Under Pose, Illumination and Expression Variations Using L1 Graph Method
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1 Sri Krishna Arts and Science College, Coimbatore, IN
2 Department of Information and Computer Technology, Sri Krishna Arts and Science College, Coimbatore, IN
1 Sri Krishna Arts and Science College, Coimbatore, IN
2 Department of Information and Computer Technology, Sri Krishna Arts and Science College, Coimbatore, IN
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Biometrics and Bioinformatics, Vol 3, No 8 (2011), Pagination: 360-363Abstract
As one of the most successful applications of image analysis and understanding face recognition has recently received significant attention, especially during the past several years. Automated face recognition (AFR) has received increased attention in recent years. The system aims in solving the problems occurred in face recognition, and Face recognition is one of the most intensively studied topics in computer vision and pattern recognition, but few are focused on how to robustly recognize faces with expressions under the restriction of one single training sample per class. A L1 graph algorithm, which combines the advantages of the unambiguous correspondence of feature point labeling and the flexible representation of illumination complexities, pose variations and expression variations computation, our proposed approach has been developed for face recognition from expression invariant, pose invariant and illumination invariant face images. In this paper, we propose an integrated face recognition system that is robust against facial expressions by combining information from the computed intrapersonal and the synthesized face image in a probabilistic framework. This method show that the proposed system improves the accuracy of face recognition from expressional, illuminations variant and pose variant face images can be accurately treated with accurate results.Keywords
Face Recognition, Face Expression, L1 Graph, 2D Image.- Resilient Artificial Bee Colony Optimized AODV Routing Protocol (RABCO-AODV-RP) for Minimizing the Energy Consumption in Flying Ad-Hoc Network
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Authors
Affiliations
1 Department of Information Technology and Cognitive Systems, Sri Krishna Arts and Science College, Coimbatore, IN
1 Department of Information Technology and Cognitive Systems, Sri Krishna Arts and Science College, Coimbatore, IN
Source
International Journal of Computer Networks and Applications, Vol 11, No 1 (2024), Pagination: 29-45Abstract
Flying Ad-Hoc Networks (FANETs) have gained prominence in various applications, ranging from surveillance to disaster response. Their dynamic and resource-constrained nature makes efficient energy utilization a paramount concern. One significant challenge in FANETs is minimizing energy consumption, which is essential for prolonging the network lifetime and ensuring continuous operation. This paper introduces the Resilient Artificial Bee Colony Optimized AODV Routing Protocol (RABCO-AODV-RP) to address this challenge. RABCO-AODV-RP leverages the Artificial Bee Colony optimization algorithm to enhance AODV routing, optimizing route selection to minimize energy consumption while maintaining network resilience. The working mechanism of RABCO-AODV-RP encompasses two primary phases: route discovery and route maintenance. During route discovery, the protocol intelligently selects energy-efficient paths using the optimization algorithm, reducing energy waste. In the route maintenance phase, RABCO-AODV-RP continuously adapts to network dynamics, updating routes to ensure efficient and resilient communication. Extensive simulations were conducted using the NS3 network simulator to assess its performance using packet delivery ratio, packet drop ratio, throughput, end-to-end delay, energy consumption and hop count as performance metrics. The results and discussions indicate that RABCO-AODV-RP outperforms traditional AODV routing protocol. It improves packet delivery, throughput and reduces packet drop ratio, end-to-end delay and hop count. This research underscores the potential of RABCO-AODV-RP as a promising solution for extending the operational lifetime of FANETs and ensuring reliable communication in demanding environments.Keywords
UAV, ABC, AODV, Optimization, FANET, Routing, Energy.References
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