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Uncertainty Mitigation through Knowledge-Based Bounding

Uncertainty area based interference mitigation for cognitive radio

Uncertainty area based interference mitigation for cognitive radio

... our knowledge, nobody in the past has ever considered our main assumptions in the interference estimation of a secondary network towards a primary network: no online communication between both networks, coarse ...

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Scientific knowledge and scientific uncertainty in bushfire and flood risk mitigation: literature review

Scientific knowledge and scientific uncertainty in bushfire and flood risk mitigation: literature review

... scientific knowledge applied in bushfire risk mitigation is subject to uncertainties parallel to those encountered in flood risk mitigation, particularly in regards to the modelling and prediction of ...

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Privacy through uncertainty in location-based services

Privacy through uncertainty in location-based services

... of uncertainty may also be hindered by the apriori knowledge of the attacker rather than inherent attributes of the location ...gains knowledge of a large group of people in a relatively stable ...

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Dealing with uncertainty in the probability of overtopping of a flood mitigation dam

Dealing with uncertainty in the probability of overtopping of a flood mitigation dam

... sampling uncertainty, from which small-sized samples suffer, is ...reports through a Bayesian framework, allowing the incorporation of supplementary knowledge from different sources and its ...

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Groundwater Management Optimization and Saltwater Intrusion Mitigation under Uncertainty

Groundwater Management Optimization and Saltwater Intrusion Mitigation under Uncertainty

... address uncertainty in surrogate model predictions for saltwater intrusion mitigation designs using a hypothetical horizontal scavenger ...selection uncertainty in probabilistic nonlinear ...

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A research note on knowledge-uncertainty-based learning (KUBL), with an example on the subject of Innovation Management

A research note on knowledge-uncertainty-based learning (KUBL), with an example on the subject of Innovation Management

... “Innovation has become one of the main priorities of most countries. The European Union, through the Lisbon strategy, aims at stimulating national R&D investments in order to reach the “ideal” 3 per cent GDP ...

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An additional elaboration on knowledge-uncertainty-based learning (KUBL), using the subject of Entrepreneurship as an example

An additional elaboration on knowledge-uncertainty-based learning (KUBL), using the subject of Entrepreneurship as an example

... ―Entrepreneurship through education was seen by many policy and strategy leaders as a positive venture, however the growth in the early 2000s did not appear to be co-ordinated or have a consistent approach with ...

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Viability of indigenous knowledge based strategies in mitigation of drought in Gachoka Division, Embu County-Kenya

Viability of indigenous knowledge based strategies in mitigation of drought in Gachoka Division, Embu County-Kenya

... weather through traditional phenomenon and that why they plant traditional crops which they understand ...have knowledge of how to preserve the seeds for future ...

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Hedging Future Uncertainty: A Framework For Obsolescence Prediction, Proactive Mitigation And Management

Hedging Future Uncertainty: A Framework For Obsolescence Prediction, Proactive Mitigation And Management

... is based on 4 key variables including market share, number of manufacturers producing the component in question, life cycle stage, and a qualitative risk rating of components by the ...synthesized through ...

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Emotion and Knowledge in Decision Making under Uncertainty

Emotion and Knowledge in Decision Making under Uncertainty

... and knowledge can play in individual decision making under ambiguity, more specifically through their effects on the elevation and/or the curvature of the decision weighting function when ambiguity is ...

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Bounding Uncertainty for Active Batch Selection

Bounding Uncertainty for Active Batch Selection

... The success of batch mode active learning (BMAL) methods lies in selecting both representative and uncertain samples. Representative samples quickly capture the global structure of the whole dataset, while the uncertain ...

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Distance Bounding based on PUF

Distance Bounding based on PUF

... is trivially TF-insecure in this stronger model. 1 Kleber et al. design a protocol in [25] which is claimed to be secure in their model. However we contradict that fact in this paper and propose to modify it in order to ...

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Bounding the Inefficiency of Altruism Through Social Contribution Games

Bounding the Inefficiency of Altruism Through Social Contribution Games

... Instead, we take a different approach here. As we will show, there is a nat- ural class of games, which we term social contribution games (SCGs), that is intimately connected with our altruism and friendship games. We ...

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Event-based controller synthesis by bounding methods

Event-based controller synthesis by bounding methods

... [email protected], [email protected] Abstract Two event-triggered algorithms for digital implementation of a continuous- time stabilizing controller are proposed in this work. The first algorithm ...

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A Class of Precomputation-based Distance-bounding Protocols

A Class of Precomputation-based Distance-bounding Protocols

... our knowledge, the best HK-like protocol in terms of resistance to mafia fraud is the Tree-based proto- col proposed by Avoine and Tchamkerten [7] in 2009 ...

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Contactless Access Control Based on Distance Bounding

Contactless Access Control Based on Distance Bounding

... distance bounding, RFID, NFC, relay attack, mafia fraud, distance hijacking, privacy 1 Introduction Access control (AC) is a mechanism assuring that a system or a place can be accessed only by authorized ...

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Hammerstein systems parameters bounding through sparse polynomial optimization

Hammerstein systems parameters bounding through sparse polynomial optimization

... Identification of block-structured nonlinear systems, mod- eled by interconnected memoryless nonlinear gains and lin- ear dynamic subsystems, has attracted the attention of many authors in the last decades. Early works ...

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Risk’s and uncertainty in the knowledge economy

Risk’s and uncertainty in the knowledge economy

... The economic, social, politic and national domain acts and advances humans and is full by uncertainties. Nowadays we can recognize more and more that a system which functions for to obtain an effect for future works from ...

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Web and knowledge-based decision support system for measurement uncertainty evaluation

Web and knowledge-based decision support system for measurement uncertainty evaluation

... There are different types of ES, rule-based ES, network-based ES and frame-based ES. In 1960s, Edward Feigenbaum, Joshua Lederberg and Bruce Buchanan started working on Dendral, the world’s first ES ...

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Uncertainty quantification of flood mitigation predictions and implications for interventions

Uncertainty quantification of flood mitigation predictions and implications for interventions

... that uncertainty affects predictions of the effect of flood mitigation ...the uncertainty of flood mitigation interventions on the Dutch River Waal, based on 39 different sources of un- ...

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