Scalable Database Support for Correlation and Fusion Algorithms
نویسنده
چکیده
The process of extracting useful information from noisy sensor data is an important part of applications such as environmental analysis and military surveillance. Diiculties arise with analyzing the accuracy of the reports and in processing the total number of reports. Automated methods capable of handling noisy information from multiple sensors must be employed to assist the human analyst. This report investigates scalable database support for such systems. Region estimation and range retrieval techniques are employed to dramatically reduce retrieval and overall execution times.
منابع مشابه
Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks
The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...
متن کاملIntelligent scalable image watermarking robust against progressive DWT-based compression using genetic algorithms
Image watermarking refers to the process of embedding an authentication message, called watermark, into the host image to uniquely identify the ownership. In this paper a novel, intelligent, scalable, robust wavelet-based watermarking approach is proposed. The proposed approach employs a genetic algorithm to find nearly optimal positions to insert watermark. The embedding positions coded as chr...
متن کاملRock physical modeling enhancement in hydrocarbon reservoirs using Choquet fuzzy integral fusion approach
Rock physics models are widely used in hydrocarbon reservoir studies. These models make it possible to simulate a reservoir more accurately and reduce the economic risk of oil and gas exploration. In the current study, two models of Self-Consistent Approximation followed by Gassmann (SCA-G) and Xu-Payne (X-P) were implemented on three wells of a carbonate reservoir in the southwest of Ira...
متن کاملThe Role Cognitive Fusion, Social Support and Perception of Aging in Prediction Death Anxiety
Introduction: Elderly is a very important stage in life, and death anxiety is a common feature of the elderly, so it is important to identify the factors that affect death anxiety during this period. Therefore, purpose of this study was to investigate the role cognitive fusion, social support and perception of aging in prediction death anxiety in elderly. Methods: This is a cross-sectional stud...
متن کاملCombination of Feature Selection and Learning Methods for IoT Data Fusion
In this paper, we propose five data fusion schemes for the Internet of Things (IoT) scenario,which are Relief and Perceptron (Re-P), Relief and Genetic Algorithm Particle Swarm Optimization (Re-GAPSO), Genetic Algorithm and Artificial Neural Network (GA-ANN), Rough and Perceptron (Ro-P)and Rough and GAPSO (Ro-GAPSO). All the schemes consist of four stages, including preprocessingthe data set ba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007