Measuring and Tracking Complexity

Jacek Marczyk Ph.D., Balachandra Deshpande Ph.D. (2007) 1.   Introduction The study of complex systems such as the biosphere, gene expression data or the climate, has led to an increased understanding of their behaviour and characteristics and only now are we appreciating their overwhelming complexity. One common denominator of all these systems is, obviously, complexity. However,…

On Anomaly Types and Anomaly Detection.

Anomaly detection, especially their early detection, is a crucial capability when it comes to operating large complex systems, processes or critical infrastructures. Because it is difficult to make highly complex systems resilient in the face of a multitude of potential often unknown hazards, it is desirable to be able to identify anomalies, malfunctions and attacks…

Electronic Warfare and Complexity Management

In a modern battle scenario the proliferation of Electronic Warfare devices, electronic emitters and platforms as well as technologies to influence the EM spectrum, produces vast amounts of data. Devices such as jammers, radar jammers, countermeasure dispensing systems, decoys, flare/chaff dispensers, anti-radiation missiles, antennas, IR missile warning systems, laser warning systems, interference mitigation systems, electromagnetic…

Complexity Maps of Railway Operations

QCM technology allows to make very quick risk and resilience assessments of all sorts of systems of processes. All it takes is data. Data may be sampled over time, space or frequency. Consider, for example, the following monthly data (only a small portion is shown) of failure counts of a railway operation. The data simply…

How To Save Democracy From Itself

Prologue from “Governing a Liquid Society – How to Save Democracy From Itself”   In the past the Earth was populated by numerous civilizations. The Greeks, the Incas, or the Romans are just a few egregious examples. Because the temporal and spatial correlation between those civilizations was often non-existent, or very limited, if one happened…

Complexity and Revisiting Anomaly Detection

Wikipedia: “In data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text.…