Sensor nodes may be easily compromised and seized by adversaries, because they are disseminated in hostile environments. Adversaries may try various security attacks on sensor networks using compromised nodes. False data injection attacks using nodes may cause false alarms, and severe energy waste. The dynamic en-route filtering scheme (DEF) can detect and drop false data during the forwarding ...

In this paper we propose an evolutionary learning based fuzzy theoretic approach for classifying video sequences into generic categories. This categorization is based on video structure based syntactic features. The features like shot durations, editing style, camera work and shot activity conveys large amount of information about the type of video. The information derived from these features i...

This paper introduces a procedural approach to perform rule based abduction in a knowledge base. In this context a knowledge base is realised as a normal abductive logic program, and an observation can be either a literal or a rule. A SLDNF resolution based proof procedure is employed to achieve this rule based abduction. It is shown that using this algorithm, one can always nd a minimal explan...

An induction-based method for retrieving similar cases and/or easily adaptable cases is presented in a 3-steps process : rst, a rule set is learned from a data set ; second, a reformulation of the problem domain is derived from this ruleset ; third, a surface similarity with respect to the reformulated problem appears to be a structural similarity with respect to the initial representation of t...

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

Rule-Based Systems have been in use for decades to solve a variety of problems but not in the sensor informatics domain. Rules aid the aggregation of low-level sensor readings to form a more complete picture of the real world and help to address 10 identified challenges for sensor network middleware. This paper presents the reader with an overview of a system architecture and a pilot applicatio...

We discuss a framework in which the traditional features of objects (encapsulation, communication, etc.) are enhanced with synchronization and coordination facilities, using the declarative power of rules. We propose two interpretations of rules, one re-active and the other pro-active, corresponding to diierent kinds of interactions between the rules and the objects. Finally, we consider the pr...

A rule-based Support Vector Machine (SVM) classifier is applied to tornado prediction. Twenty rules based on the National Severe Storms Laboratory’s mesoscale detection algorithm are used along with SVM to develop a hybrid forecast system for the discrimination of tornadic from non-tornadic events. The use of the Weather Surveillance Radar 1998 Doppler data, with continuous data streaming in ev...

We present a rule-based framework for defining and implementing finite trace monitoring logics, including future and past time temporal logic, extended regular expressions, real-time logics, interval logics, forms of quantified temporal logics, and so on. Our logic, EAGLE, is implemented as a Java library and involves novel techniques for rule definition, manipulation and execution. Monitoring ...