Multi-morbidity is a common condition in older age, and can substantially influence individuals’ health and quality of life, making management more difficult. The COVID-19, like other types of influenza, is known to kill mainly old and debilitated individuals, suffering from at least 2 to 3 serious chronic diseases. In the times of COVID-19, it has…
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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,…
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…
Every year the World Bank publishes its Development Indicators data, which we analyze in order to measure and track the resilience (fragility) and complexity of countries, macro regions and of the world as a system. The goal is to produce strategic systemic information for governments and government agencies especially in the context of management of disasters,…
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…
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…
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…
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.…
Standard deviations are a popular and often useful measure of dispersion. To be sure, a standard deviation is merely the most likely deviation from the mean. It also doesn’t take into account the shape of the probability distribution function (this is done better using, for example, entropy, which is a more versatile measure of…
