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Baranidharan, V.
- Secure Localization Using Coordinated Gradient Descent Technique for Underwater Wireless Sensor Networks
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PDF Views:3
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, IN
2 Department of Computer Applications, Annamalai University, IN
1 Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, IN
2 Department of Computer Applications, Annamalai University, IN
Source
ICTACT Journal on Communication Technology, Vol 9, No 1 (2018), Pagination: 1716-1720Abstract
In the Underwater Wireless Sensor Networks (UWSN) provide a solution for several aquatic and oceanographic applications. All these UWSN applications are need to be aware of the nodes positioning. In some insecure environment, the misleading data can be transmitted to the sonobuoys or monitoring systems in the network. This may disrupt the functions of the nodes. Thus, the secured localization algorithms are designed to resistant against attack and try to achieve the localization correctly. This paper shows that modified secure localization algorithm based Gradient Descent Algorithm (GDA) to remove the misleading information in the networks. This modified algorithms the normal nodes are cooperate with each other to reduce the localization error and to improve the pruning percentage.Keywords
Underwater Wireless Sensor Networks, Secure Localization Algorithms, Gradient Descent Approach, Pruning Percentage.
References
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- M. Mofarreh-Bonab and S.A. Ghorashi, “The Effect of Pruning Stage in Secure Localization in Wireless Sensor Networks”, Proceedings of 6th International Symposium on Telecommunications, pp. 455-458, 2012.
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- Bounding Box Method Based Accurate Vehicle Number Detection and Recognition for High Speed Applications
Abstract Views :185 |
PDF Views:1
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, IN
2 Department of Computer and Information Sciences, Annamalai University, IN
1 Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, IN
2 Department of Computer and Information Sciences, Annamalai University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 9, No 2 (2018), Pagination: 1867-1871Abstract
License plate detection and recognition is the one of the major aspects of applying the image processing techniques towards intelligent transport systems. Detecting the exact location of the license plate from the vehicle image at very high speed is the one of the most crucial step for vehicle plate detection systems. This paper proposes an algorithm to detect license plate region and edge processing both vertically and horizontally to improve the performance of the systems for high speed applications. Throughout the detection and recognition the original images are detected, filtered both vertically and horizontally, and threshold based on bounding box method. The whole system was tested on more than twenty five cars with various license plates in Indian style at different weather conditions. The overall accuracy rate of success recognition is 93% at sunlight conditions, 72% at cloudy, 71% at shaded weather conditions.Keywords
Plate Detection, Recognition, Segmentation, Noise Removal, Sobel Detector, Bounding Box.References
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