Abstract: A system and method are presented for forecasting the risk of cyber-attacks on targeted networks. The described technology quantifies linear and non-linear damages to network-dependent assets by propagating probabilistic distributions of events in sequence and time in order to forecast damages over specified periods. Damage-forecasts are used to estimate probabilistically time-varying financial losses for cyber-attacks. The described technology incorporates quantities and dependencies for pricing insurance, re-insurance, and self-insurance, assessing cost-benefit tradeoffs for sequenced implementation of security control measures, and detecting attacks in the targeted network.

Abstract: A system and method are presented for forecasting the risk of cyber-attacks on targeted networks. The described technology quantifies linear and non-linear damages to network-dependent assets by propagating probabilistic distributions of events in sequence and time in order to forecast damages over specified periods. Damage-forecasts are used to estimate probabilistically time-varying financial losses for cyber-attacks. The described technology incorporates quantities and dependencies for pricing insurance, re-insurance, and self-insurance, assessing cost-benefit tradeoffs for sequenced implementation of security control measures, and detecting attacks in the targeted network.

Abstract: A system and method are presented for forecasting the risk of cyber-attacks on targeted networks. The described technology quantifies linear and non-linear damages to network-dependent assets by propagating probabilistic distributions of events in sequence and time in order to forecast damages over specified periods. Damage-forecasts are used to estimate probabilistically time-varying financial losses for cyber-attacks. The described technology incorporates quantities and dependencies for pricing insurance, re-insurance, and self-insurance, assessing cost-benefit tradeoffs for sequenced implementation of security control measures, and detecting attacks in the targeted network.

Abstract: A system and method are presented for forecasting the risk of cyber-attacks on targeted networks. The described technology quantifies linear and non-linear damages to network-dependent assets by propagating probabilistic distributions of events in sequence and time in order to forecast damages over specified periods. Damage-forecasts are used to estimate probabilistically time-varying financial losses for cyber-attacks. The described technology incorporates quantities and dependencies for pricing insurance, re-insurance, and self-insurance, assessing cost-benefit tradeoffs for sequenced implementation of security control measures, and detecting attacks in the targeted network.

Abstract: An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.

Abstract: An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.

Abstract: Joule (ohmic) heating and electro-osmosis are combined in a hybrid process for removal of both water-soluble contaminants and non-aqueous phase liquids from contaminated, low-permeability soil formations that are saturated. Central to this hybrid process is the partial desaturation of the formation or layer using electro-osmosis to remove a portion of the pore fluids by induction of a ground water flow to extraction wells. Joule heating is then performed on a partially desaturated formation. The joule heating and electro-osmosis operations can be carried out simultaneously or sequentially if the desaturation by electro-osmosis occurs initially. Joule heating of the desaturated formation results in a very effective transfer or partitioning of liquid state contaminants to the vapor phase. The heating also substantially increases the vapor phase pressure in the porous formation.

Abstract: Joule (ohmic) heating and electro-osmosis are combined in a hybrid process for removal of both water-soluble contaminants and non-aqueous phase liquids from contaminated, low-permeability soil formations that are saturated. Central to this hybrid process is the partial desaturation of the formation or layer using electro-osmosis to remove a portion of the pore fluids by induction of a ground water flow to extraction wells. Joule heating is then performed on a partially desaturated formation. The joule heating and electro-osmosis operations can be carried out simultaneously or sequentially if the desaturation by electro-osmosis occurs initially. Joule heating of the desaturated formation results in a very effective transfer or partitioning of liquid state contaminants to the vapor phase. The heating also substantially increases the vapor phase pressure in the porous formation.

Abstract: Electro-osmotic infusion of ground water or chemically tailored electrolyte is used to enhance, maintain, or recondition electrical conductivity for the joule heating remediation technique. Induced flows can be used to infuse electrolyte with enhanced ionic conductivity into the vicinity of the electrodes, maintain the local saturation of near-electrode regions and resaturate a partially dried out zone with groundwater. Electro-osmotic infusion can also tailor the conductivity throughout the target layer by infusing chemically modified and/or heated electrolyte to improve conductivity contrast of the interior. Periodic polarity reversals will prevent large pH changes at the electrodes. Electro-osmotic infusion can be used to condition the electrical conductivity of the soil, particularly low permeability soil, before and during the heating operation.

Abstract: A method is presented, together with variations thereof, which provides for identifying single degree of freedom machine operating characteristics from machine power transfer shaft torque and angular velocity measurements, wherein solutions are determined within the physical coordinate domain. Apparatus is disclosed which provides for variation in torque and angular velocity at the power transfer shaft and the shaft is accessible, so that independent measurements may be made. The determination of machine characteristics is useful for verification of analysis, diagnostics, or on-line monitoring for conformance to machine model characteristics.