The Australian Defence Science and Technology Organisation (DSTO) is developing a centre of gravity (COG) analysis tool, intended to support operational planning in the Australian Defence Force (ADF). This tool provides a visual representation of the COG causal structure and an impact and later effects-based analysis capability, which facilitates the determination of the critical vulnerabilitie...

Defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. The Center Of Gravity method (COG) is one of the most accurate methods that so far been presented for defuzzification. In this paper, a simple algorithm is presented to generate triangular output membership functions in the Mamdani method using the multiplier/divider circuit and...

A MIMO (multiple inputs and multiple outputs) fuzzy-logic-based model was developed to predict biogas and methane production rates in a pilot-scale 90-L mesophilic up-flow anaerobic sludge blanket (UASB) reactor treating molasses wastewater. Five input variables such as volumetric organic loading rate (OLR), volumetric total chemical oxygen demand (TCOD) removal rate (R(V)), influent alkalinity...

We offer a hybrid system, which is integrated with the fuzzy system and Petri net models of discrete event system. It is convenient to users or students for building the model-level of system while in learning. We exploit the characteristics of fuzzy theory, imprecise or ambiguous information, to map the algorithm of crisp inputs and outputs. Furthermore, model problems, product a nonlinear fun...

In the present paper we develop a stochastic (Markov chain) model for a mathematical description of the decision making (DM) process and we apply principles of fuzzy logic (FL) in representing the DM process in a fuzzy environment. Further, we develop an innovative approach for studying the step of verification of a chosen decision, which is based on principles of FL (a special form of the COG ...

Defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. The Center Of Gravity method (COG) is one of the most accurate methods that so far been presented for defuzzification. In this paper, a simple algorithm is presented to generate triangular output membership functions in the Mamdani method using the multiplier/divider circuit and...

In visual search, some fixations are made between stimuli on empty regions, commonly referred to as "centre-of-gravity" fixations (henceforth: COG fixations). Previous studies have shown that observers with task expertise show more COG fixations than novices. This led to the view that COG fixations reflect simultaneous encoding of multiple stimuli, allowing more efficient processing of task-rel...

This paper propose signature recognition system based on centre of gravity,hough transform and neural network for offline signature. Similar to other biometric measures, signatures have inherent variability and so pose a difficult recognition problem.. In this paper, signature is preprocessed through binarization, cutting edges and thinning which provides more accurate platform for feature extr...

The centre of gravity (COG) Network Effects Tool (COGNET) uses Bayesian networks to represent the COG causal structure. Its impact analysis capability facilitates the determination of the critical vulnerabilities that have to be degraded or negated to influence the COG. COGNET provides a modelling framework and a generic model database to aid knowledge reuse and knowledge transfer. Its graphica...