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Ganesh, L.
- A New Approach for Tracking Moving Objects in Underwater Environment
Abstract Views :233 |
PDF Views:84
Authors
M. N. V. S. S. Kumar
1,
Nagamani Modalavalasa
2,
L. Ganesh
3,
K. Satya Prasad
2,
G. Sasibhushana Rao
4
Affiliations
1 Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, Srikakulam Dist. 532 201, IN
2 Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Kakinada 533 003, IN
3 Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, College of Engineering, Visakhapatnam 531 162, IN
4 Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam 530 003, IN
1 Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management, Tekkali, Srikakulam Dist. 532 201, IN
2 Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Kakinada 533 003, IN
3 Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, College of Engineering, Visakhapatnam 531 162, IN
4 Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam 530 003, IN
Source
Current Science, Vol 110, No 7 (2016), Pagination: 1315-1323Abstract
Obstacle avoidance and navigation is a demanding task for an autonomous underwater vehicle (AUV) due to the complex nature of the underwater environment. However, an automatic detection and tracking system is the primary element for an AUV or an aqueous surveillance network. Tracking underwater objects in an active context, represents an ongoing challenge in the field of signal processing. In order to detect the target's presence under water, the echoes reflected by the target are analysed by the receiver. Track accuracy is one of the paramount performance measures of a tracking system. Towards this, various methods such as Kalman filter (KF), extended Kalman filter (EKF) and least squares (LS) have been explored. However, all these methods have their own drawbacks. In this study, a new approach called modified gain EKF has been implemented on the simulated data for tracking of underwater moving object using bearing and elevation measurements. AUV fitted with a single sonar is used for validating the proposed bearing and elevation only tracking (BEOT) algorithm. The performance of the algorithm is evaluated in Monte Carlo simulations and results are presented in stipulated geometries.Keywords
AUV, BEOT, EKF, Obstacle Avoidance, Tracking.- An Examination of Applicability of Logistic Regression Model with Respect to Ready-To-Eat Food Products
Abstract Views :358 |
PDF Views:0
Authors
Affiliations
1 Alliance University, Bangalore, IN
2 Vijay College, Bangalore University,, IN
3 Christ University, Bangalore, IN
1 Alliance University, Bangalore, IN
2 Vijay College, Bangalore University,, IN
3 Christ University, Bangalore, IN
Source
Asian Journal of Management, Vol 8, No 4 (2017), Pagination: 1351-1355Abstract
The purpose of this study is to understand the perception of consumers about RTE foods and to find the factors which influence the purchase intention of them towards RTE foods. Diversification of food habits, rapid changes in lifestyle, adoption of western culture creates opportunity for the growth of RTE food habits. The popularity of ready-to-eat packed food no longer marks a special occasion. Consumers appreciate value for time, money in terms of quality and variety. Hence the main focus of the study is to find thefactors affecting consumer purchase intention towards the ready to eat products in India. Logistic regression approach was carried out to find the applicability of the best fit of the factors. This study creates an alternative for manufacturing firms to concentrate on the influencing factors and to frame strategies for the growth of RTE foods in India.Keywords
Purchase-Intention, Diversified-Food-Habits, Logistic Regression, Perception.References
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