Search results for "Spect"

Model Co-creation from a Modeler’s Perspective: Lessons Learned from the Collaboration Between Ethnographers and Modelers

2018

This paper reports on the authors’ ongoing collaboration on model co-creation, a process that involves not only the reconciliation of methodologies (qualitative vs. quantitative), but also of epistemologies (empirical vs empirical/rationalist) and ontologies (observable referent vs. abstracted referent). The co-creation process has taken place over several months, from early 2017, both in person, teleconferencing and via email. The result was an ethnographic model of the refugee situation in Lesbos, Greece. The qualifier “ethnographic” means that the simulation’s purpose was to capture the problem situation described by ethnographers in a manner that resembles their observations, not to ans…

Evaluation of Coded Excitations for Autonomous Airborne Ultrasonic Inspection

2019

Unmanned Aerial Vehicles (UAVs) are receiving increasing attention for use in Non-Destructive Testing due to their ability to access areas where manual inspection is not practical. Contact-based UAV ultrasonic inspections grant the opportunity to remotely monitor the structural health of an industrial asset with enhanced internal integrity information. Ultrasonic inspection is a Non-Destructive Testing (NDT) method conventionally used in corrosion mapping. Surface contacting ultrasonic transducers provide enhanced structural integrity information. However, due to near-surface aerodynamic effects, angular sensitivity of the ultrasound probe and alignment error during autonomous inspections, …

The changing functions of the mass media: A historical perspective

1989

Safety regulations : implications of the new risk perspectives

2016

Abstract The current safety regulations for industrial activities are to a large extent functionally oriented and risk-based (informed), expressing what to achieve rather than the means and solutions needed. They are founded on a probability-based perspective on risk, with the use of risk assessment, risk acceptance criteria and tolerability limits. In recent years several risk researchers have argued for the adoption of some new types of risk perspectives which highlight uncertainties rather than probabilities in the way risk is defined, the point being to better reflect the knowledge, and lack of knowledge, dimension of risk. The Norwegian Petroleum Safety Authority has recently implement…

‘Less Stale, Only Slightly Less Male, but Overwhelmingly Less Pale’: the 2015 New Conservative Brexiters in the House of Commons

2019

AbstractThis article will study the new face of Conservative Euroscepticism in the House of Commons, with a special focus on the 2015 intake of MPs who were supposedly ‘less stale, male and pale’ and their attitudes to the British referendum on the EU. In this respect, this article will also take a specific interest in new Conservative Black and Asian Minority Ethnic (BAME) MPs who turned out to be more active on the ‘leave’ side of the referendum campaign, thus serving as a showcase for the party's strategy of ‘decontaminating’ the Brexit brand and its hyperglobalist geopolitical perspective.

How women are imagined through conceptual metaphors in United Nations Security Council Resolutions on women, peace and security

2017

United Nations Security Council Resolution 1325 is a landmark pronouncement on the Women, Peace and Security Agenda. Not only does this resolution highlight the important role of the involvement of women in peace processes, but it also stresses the importance of their equal participation in all efforts for the maintenance and promotion of peace. Furthermore, it also triggers the approval of some other resolutions, which are all further elaborations on that first document. The aim of this paper is to analyse, from a cognitive linguistic perspective, the way in which women are actually narrated in these pronouncements by means of the two conceptual metaphors that are most often repeated: WOME…

Building Resilience Through Effective Disaster Management

2017

Existing literature argues that taking a holistic approach to disaster management is important for organizations in building resilience. Theoretical underpinnings to achieve a holistic understanding, however, is lacking. This article applies the notion of an ecosystem as a holistic lens to understand complex disaster management. The paper reports two case studies from Japan and Nepal to illustrate how an ecosystem works during a disaster. The theoretical framework of information ecology is used in analyzing the cases. Based on the findings, the study shows three interconnected mechanisms that can build resilience of an ecosystem in a disaster management context, namely (1) coevolution, (2) …

Microscopic Revelation of Charge-Trapping Sites in Polymeric Carbon Nitrides for Enhanced Photocatalytic Activity by Correlating with Chemical and El…

2019

The influences of chemical and electronic structures on the photophysical properties of polymeric carbon nitrides (PCNs) photocatalysts, which govern the microscopic mechanisms of the superior photocatalytic activity under visible-light irradiation, have been resolved in this work. Time-resolved photoluminescence and in situ electron paramagnetic resonance measurements indicate that the photoexcited electrons in the fractured PCNs swiftly transfer to the C2p-localized states where the trapped photoelectrons exhibit longer lifetime compared to those in the ordinary PCNs. Moreover, the structure deviation at the carbon (Cb) atoms around the bridging sites of heptazine ring units, where trappe…

“Save Romania” Union and the Persistent Populism in Romania

2020

The electoral success of the “Save Romania” Union (USR) in the 2016 parliamentary elections sheds new light on the rising populist parties in Romania and offers a new perspective on the Romanian po...

ES1D: A Deep Network for EEG-Based Subject Identification

2017

Security systems are starting to meet new technologies and new machine learning techniques, and a variety of methods to identify individuals from physiological signals have been developed. In this paper, we present ESID, a deep learning approach to identify subjects from electroencephalogram (EEG) signals captured by using a low cost device. The system consists of a Convolutional Neural Network (CNN), which is fed with the power spectral density of different EEG recordings belonging to different individuals. The network is trained for a period of one million iterations, in order to learn features related to local patterns in the spectral domain of the original signal. The performance of the…