Refine your search
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Nithyanandam, S.
- An Adaptive Resource Management for Adjust Window Sizes & Time Granularities in Data Stream Management Systems
Abstract Views :223 |
PDF Views:3
Authors
Affiliations
1 Ponnaiyah Ramajayam College of Engineering & Technology/Department of CSE, Thanjavur, IN
2 Ponnaiyah Ramajayam Engineering College/Department of CSE, Thanjavur, IN
3 Ponnaiyah Ramajayam Engineering College/Department of PG CS, Thanjavur, IN
1 Ponnaiyah Ramajayam College of Engineering & Technology/Department of CSE, Thanjavur, IN
2 Ponnaiyah Ramajayam Engineering College/Department of CSE, Thanjavur, IN
3 Ponnaiyah Ramajayam Engineering College/Department of PG CS, Thanjavur, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 4 (2010), Pagination:Abstract
DSMS need to control its resources adaptively as stream characteristics and its query workload vary over time. To analysis an approach to adaptive resource management to adjusts window sizes and time granularities for continuous sliding window queries to keep resource usage within limits. In order to quantify the impact of the two techniques on a query plan, to evaluating the cost based system for the resource allocation. An throughout the experimental analyzes to demonstrate the effectiveness, scalability and accuracy of the cost based system.Keywords
DSMS, Window Size, Sliding Window, Time Granularity.- An Efficient Camera Calibration Algorithm with Bundle Adjustment Technique (BAT)
Abstract Views :176 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science and Engineering, PRIST University, Thanjavur, IN
1 Department of Computer Science and Engineering, PRIST University, Thanjavur, IN
Source
Biometrics and Bioinformatics, Vol 3, No 5 (2011), Pagination: 245-248Abstract
Camera calibration has been studied extensively in computer vision and photogrammetry. A camera calibration scheme that uses a simple reference object is superior in real environments, as it yields systems that can respond quickly to various camera configurations in indoors and outdoors. In this work a new calibration technique using 1D objects (points aligned on a line), and filling the missing dimension in calibration is proposed. A closed-form solution is developed if five observations of such a 1D object are made a simple and practical calibration technique is proposed that effectively estimates camera parameters from just five points on two orthogonal 1-D objects, each has three collinear points, one of which is shared. The basic equations needed to realize camera calibration are derived from just five points observed on a single image that captures the objects. A new camera calibration algorithm that estimates the camera parameters based on the basic equations (Closed-form solution) and optimizes them by the Bundle Adjustment Technique (BAT).Keywords
Camera Calibration, Photogrammetry, Reference Object, Closed-Form Solution, Bundle Adjustment Technique.- Super Resolution of the Image by Sparse Bayesion Method
Abstract Views :245 |
PDF Views:1
Authors
Affiliations
1 Kings College of Engineering, IN
2 Prist University, IN
1 Kings College of Engineering, IN
2 Prist University, IN