The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a smart distribution grid testbed to test or compare designs of integrated information management systems (I2MSs). An I2MS extracts and synthesizes information from a wide range of data sources to detect abnormal system behaviors, identify possible causes, assess the system status, and provide grid operators with response suggestions. The objective of the testbed is to provide...
Breast Microwave Radar(BMR) is a novel imaging modality that is capable of producing high contrast images and can detect tumors of at least 4mm. To properly visualize the responses from the breast structures, BMR data sets must be reconstructed. In this paper, a real time BMR image formation technique is proposed. This approach is based on the use of a Single Instruction Multiple Thread(SIMT) interpolation...
This paper examines the problem of detecting the execution of plans performed in partially observable and cluttered environments. In particular, a plan is defined as a series of tasks that must be executed according to a known precedence relation and build toward some final objective. The goal of a plan detection algorithm is to detect the execution of the plan from the available ambiguous and incomplete...
In this paper, we present a solution to a special classification problem that we have encountered during the analysis of tandem mass spectrometry data of proteins. First, we present a thorough statistical analysis of our data set. From this analysis, we build a model for the data that allows us to formulate our mass spectrometry data analysis problem as a special kind of classification problem. We...
The multistatic tracking working group (MSTWG) was formed in 2005 as an international team of experts focused on the unique challenges in the burgeoning field of multistatic tracking. This paper presents results from three common simulated data sets provided by MSTWG members. A Bayesian tracking method is described which represents the posterior probability distribution as an ensemble of sample points...
We present an algorithm for compressing 2D vector fields that preserves topology. Our approach is to simplify the given data set using constrained clustering. We employ different types of global and local error metrics including the earth mover's distance metric to measure the degradation in topology as well as weighted magnitude and angular errors. As a result, we obtain precise error bounds in the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.