Search results for "uncertainty."

Incertezza, precarietà, capacità di immaginazione del futuro e modernità: un confronto tra Appadurai e De Martino

2017

Though apparently distanced for their temporal and historical moment, their conceptual terminology, their interlocutors and the fields of their empirical research, it is possible to get some notable parallelisms of theoretical vision between the anthropological work of De Martino and that of Appadurai. In both cases, their starting point is in fact the uncertainty of human condition and social orders, and at the heart of their theory, there stands the issue of identifying the different kinds of ethos and cultural activity which permit people to historically and existentially confront this uncertainty through establishing their belonging to a “cultural homeland” (De Martino) or forms of soci…

Economics of Esports

2019

In this paper, esports market development is exhibited and analyzed through various data sources and literature review. Additionally, economic concepts are applied to the esports environment. Demand characteristics of this emerging market are analyzed by applying the concept of competitive balance as commonly used in economics of sport scrutiny. The elite esports demand is proxied by gathering data on total prize money in the elite esports tournaments and explaining the esports demand by testing various factors measuring the competitive market properties. The most commonly used measurement in economics of sport for measuring withinseason competitive balance is calculated as the actual stand…

The Truth is Out There : Focusing on Smaller to Guess Bigger in Image Classification

2023

In Artificial Intelligence (AI) in general and in Machine Learning (ML) in particular, which are important and integral components of modern Industry 4.0, we often deal with uncertainty, e.g., lack of complete information about the objects we are classifying, recognizing, diagnosing, etc. Traditionally, uncertainty is considered to be a problem especially in the responsible use of AI and ML tools in the smart manufacturing domain. However, in this study, we aim not to fight with but rather to benefit from the uncertainty to improve the classification performance in supervised ML. Our objective is a kind of uncertainty-driven technique to improve the performance of Convolutional Neural Netwo…

Uncertainty management in the measurements of low frequency magnetic fields

2014

The paper deals with low-frequency magnetic field measurements carried out by using a broadband and isotropic instrument. These measurements are characterized by very high uncertainty values, which imply a high risk of wrong decisions when there is the need to establish if a site complies or does not comply with specified emission limits. To reduce this risk, we decided to perform the so called “uncertainty management” that is the discipline of optimizing the cost of a measurement versus the uncertainty target. The task is achieved by using the PUMA method that is an iterative technique originally conceived for geometrical and mechanical measurements. The approach is completely based on the…

UNCERTAINTY EVALUATION IN THE LOW-FREQUENCY MAGNETIC FIELD MEASUREMENTS WITH REGARD TO EXPOSURE OF HUMAN BEINGS

2010

The paper deals with low-frequency magnetic field measurements, with regard to exposure of human beings, carried out by using a broadband and isotropic instrument. These measurements are characterized by a very high uncertainty values if compared with the ones usually related to other electrical measurements. These large uncertainty values imply a high risk of wrong decision when there is the need to establish if a site complies or does not comply with a specified emission limits. A reduction of the uncertainty values implies a reduction of the risk. With this aim, in the paper we propose an approach which, in case of fields generated by electric power systems (50 or 60 Hz), allows an effec…

Modelling phytoplankton in boreal lakes

2014

Unawareness, Priors and Posteriors

2008

Abstract. This note contains first thoughts on awareness of unawareness in a simple dynamic context where a decision situation is repeated over time. The main consequence of increasing awareness is that the model the decision maker uses, and the prior which it contains, becomes richer over time. The decision maker is prepared to this change, and we show that if a projection-consistency axiom is satisfied unawareness does not affect the value of her estimate of a payoff-relevant conditional probability (although it may weaken confidence in such estimate). Probability-zero events however pose a challenge to this axiom, and if that fails, even estimate values will be different if the decision …

Persistent joblessness and fertility intentions

2019

Background: The vast majority of demographic studies have approached and operationalised the notion of economic uncertainty using snapshot indicators. Hence, the complexity and diversity of individuals' employment careers were largely hidden. We posit that the persistence of joblessness - that is, repeated and close spells of joblessness - represents a crucial marker of economic uncertainty in the realm of fertility (intention) research. Objective: We aim to explore the association between persistent joblessness of both members of the couple and women's fertility intentions among those who entered employment at least once in the last five years. Methods: We develop an index of persistent jo…

Calculating confidence intervals for impact numbers

2006

Abstract Background Standard effect measures such as risk difference and attributable risk are frequently used in epidemiological studies and public health research to describe the effect of exposures. Recently, so-called impact numbers have been proposed, which express the population impact of exposures in form of specific person or case numbers. To describe estimation uncertainty, it is necessary to calculate confidence intervals for these new effect measures. In this paper, we present methods to calculate confidence intervals for the new impact numbers in the situation of cohort studies. Methods Beside the exposure impact number (EIN), which is equivalent to the well-known number needed …

Implementation of dosimetry equipment and phantoms at the MedAustron light ion beam therapy facility

2017

Purpose: To describe the implementation of dosimetry equipment and phantoms into clinical practice of light ion beam therapy facilities. This work covers standard dosimetry equipment such as computerized water scanners, films, 2D-array, thimble and plane parallel ionization chambers, but also dosimetry equipment specifically devoted to the pencil beam scanning delivery technique such as water columns, scintillating screens or multi-layer ionization chambers. Method: Advanced acceptance testing procedures developed at MedAustron and complementary to the standard acceptance procedures proposed by the manufacturer are presented. Detailed commissioning plans have been implemented for each piece…