96 resultados para minimum event


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Social signals and interpretation of carried information is of high importance in Human Computer Interaction. Often used for affect recognition, the cues within these signals are displayed in various modalities. Fusion of multi-modal signals is a natural and interesting way to improve automatic classification of emotions transported in social signals. Throughout most present studies, uni-modal affect recognition as well as multi-modal fusion, decisions are forced for fixed annotation segments across all modalities. In this paper, we investigate the less prevalent approach of event driven fusion, which indirectly accumulates asynchronous events in all modalities for final predictions. We present a fusion approach, handling short-timed events in a vector space, which is of special interest for real-time applications. We compare results of segmentation based uni-modal classification and fusion schemes to the event driven fusion approach. The evaluation is carried out via detection of enjoyment-episodes within the audiovisual Belfast Story-Telling Corpus.

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This paper examines the extent to which the proclamation by the International Olympic Committee (IOC) that Olympic Games hosting can improve the environmental capacity of the host nation holds. It singles out the post-event environmental concern exhibited by the population of the host country as the most important indicator and proceeds towards examining how successive host nations have performed in relation to that. The intervening variable of the global environmental crisis is put under the microscope and as a result the general conclusion suggests that environmental concern is much more tied to the general socio-economic predicament that the host country finds itself to be in the post-event phase than the successful hosting of green Games.

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Summary: Social work is a discipline that focuses on the person-in-the-environment. However, the social domains of influence have traditionally received more attention from the profession compared with the impact of the natural world on human well-being. With the development of ecological theories, and growing threats to the environment, this gap has been addressed and now the notion of eco-social work is attracting more interest. This article builds on this corpus of work by exploring, and augmenting, the thinking of the philosopher, David Abram, and his phenomenological investigation of perception, meaning, embodiment, language and Indigenous experience. The implications for eco-social work are then addressed.

Findings: The development of Abram’s philosophical thesis is charted by reviewing his presentation of the ideas of the European phenomenologists, Edmund Husserl and Maurice Merleau-Ponty. It is argued that Abram uses phenomenology to explore the character of perception and the sensual foundations of language which, in Indigenous cultures, are connected with the natural world. A gap in Abram’s thinking is then revealed showing the need to set human perception and language within an understanding of power. Overall, this re-worked thesis is underpinned by a meta-narrative in which ecology engages with philosophy, psychology and Indigenous experience.

Applications: By grounding such ideas in Slavoj Žižek’s construct of the sensuous event, three applications within social work are evinced, namely: (i) reflecting on the sensuous event in social work education; (ii) rekindling the sensuous event with Indigenous Peoples; and (iii) instigating the sensuous event with non-Indigenous populations.

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In this paper we present a new event recognition framework, based on the Dempster-Shafer theory of evidence, which combines the evidence from multiple atomic events detected by low-level computer vision analytics. The proposed framework employs evidential network modelling of composite events. This approach can effectively handle the uncertainty of the detected events, whilst inferring high-level events that have semantic meaning with high degrees of belief. Our scheme has been comprehensively evaluated against various scenarios that simulate passenger behaviour on public transport platforms such as buses and trains. The average accuracy rate of our method is 81% in comparison to 76% by a standard rule-based method.

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This paper presents an event recognition framework, based on Dempster-Shafer theory, that combines evidence of events from low-level computer vision analytics. The proposed method employing evidential network modelling of composite events, is able to represent uncertainty of event output from low level video analysis and infer high level events with semantic meaning along with degrees of belief. The method has been evaluated on videos taken of subjects entering and leaving a seated area. This has relevance to a number of transport scenarios, such as onboard buses and trains, and also in train stations and airports. Recognition results of 78% and 100% for four composite events are encouraging.

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The Urban Oasis celebrates Ajman’s history as well as encourages a greater future. Stitching into the existing urban fabric of Ajman and the surrounding cities, the master plan provides an entrance that encases a number of different events. From studying other successful event cities, it became apparent the need for a variety of events over a yearly basis.

Sustainability is another key feature of the master plan. From the way the urban network of streets are formed and orientated to how energy is produced and conserved. Another sustainable aspect that drove the master plan was the retention of the camel track. An important and incredible event in itself, the camel track provides an opportunity to celebrate Ajman’s culture and retain an important part of its history.

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This article explores the conformation in discourse of a verbal exchange and its subsequent mediatised and legal ramifications. The event concerns an allegedly racist insult directed by high profile English professional footballer John Terry towards another player, Anton Ferdinand, during a televised match in October 2011. The substance of Terry’s utterance, which included the noun phrase ‘fucking black cunt’, was found by a Chief Magistrate not to be a racist insult, although the fact that these actual words were framed within the utterance was not in dispute. The upshot of this ruling was that Terry was acquitted of a racially aggravated public order offence. A subsequent investigation by the regulatory commission of the English Football Association (FA) ruled, almost a year after the event, that Terry was guilty of racially abusing Ferdinand. Terry was banned for four matches and fined £220,000.

It is our contention that this event, played out in legal rulings, social media and print and broadcast media, constitutes a complex web of linguistic structures and strategies in discourse, and as such lends itself well to analysis with a broad range of tools from pragmatics, discourse analysis and cognitive linguistics. Amongst other things, such an analysis can help explain the seemingly anomalous - even contradictory - position adopted in the legal ruling with regard to the speech act status of ‘fucking black cunt’; namely, that the racist content of the utterance was not contested but that the speaker was found not to have issued a racist insult. Over its course, the article addresses this broader issue by making reference to the systemic-functional interpersonal function of language, particularly to the concepts of modality, polarity and modalisation. It also draws on models of verbal irony from linguistic pragmatics, notably from the theory of irony as echoic mention (c.f. Sperber and Wilson, 1981; Wilson and Sperber, 1992). Furthermore, the article makes use of the cognitive-linguistic framework, Text World Theory (c.f. Gavins, 2007; Werth, 1999) to examine the discourse positions occupied by key actors and adapts, from cognitive poetics, the theory of mind-modelling (c.f. Stockwell, 2009) to explore the conceptual means through which these actors discursively negotiate the event.

It is argued that the pragmatic and cognitive strategies that frame the entire incident go a long way towards mitigating the impact of so ostensibly stark an act of racial abuse. Moreover, it is suggested here that the reconciliation of Terry’s action was a result of the confluence of strategies of discourse with relations of power as embodied by the media, the law and perceptions of nationhood embraced by contemporary football culture. It is further proposed that the outcome of this episode, where the FA was put in the spotlight, and where both the conflict and its key antagonists were ‘intranational’, was strongly impelled by the institution of English football and its governing body both to reproduce and maintain social, cultural and ethnic cohesion and to avoid any sense that the event featured a discernable ‘out-group’.

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Donor-type microchimerism, the presence of a minority population of donor-derived haematopoietic cells following solid organ transplantation, has been postulated as a mechanism for induction of donor-specific graft tolerance. The stability, frequency, and relevance of microchimerism with respect to long-term outcome, however, remains uncertain. Using a polymerase chain reaction (PCR)-based method of microsatellite analysis of highly polymorphic short tandem repeat sequences (STRs) to detect donor-type cells, DNA from 11 patients was analyzed prospectively at specific time points for 12 months following liver transplantation, and from a further six patients retrospectively 2 years after liver transplantation. Using a panel of STRs, transient peripheral blood donor microchimerism was detected in 2 of 11 patients at a single time-point following transplantation, but persistent evidence of donor-derived cells was not observed during the study period. Analysis of DNA extracted from skin and duodenum in two patients likewise failed to show donor-type cells at these sites. None of the six patients in the retrospective arm showed donor microchimerism, resulting in an overall detection rate of 1.58%. These results suggest that donor microchimerism following liver transplantation is an infrequent event, and that the generation of graft tolerance is independent of microchimerism.

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AIMS: To determine whether alanine aminotransferase or gamma-glutamyltransferase levels, as markers of liver health and non-alcoholic fatty liver disease, might predict cardiovascular events in people with Type 2 diabetes.

METHODS: Data from the Fenofibrate Intervention and Event Lowering in Diabetes study were analysed to examine the relationship between liver enzymes and incident cardiovascular events (non-fatal myocardial infarction, stroke, coronary and other cardiovascular death, coronary or carotid revascularization) over 5 years.

RESULTS: Alanine aminotransferase level had a linear inverse relationship with the first cardiovascular event occurring in participants during the study period. After adjustment, for every 1 sd higher baseline alanine aminotransferase value (13.2 U/l), the risk of a cardiovascular event was 7% lower (95% CI 4-13; P=0.02). Participants with alanine aminotransferase levels below and above the reference range 8-41 U/l for women and 9-59 U/l for men, had hazard ratios for a cardiovascular event of 1.86 (95% CI 1.12-3.09) and 0.65 (95% CI 0.49-0.87), respectively (P=0.001). No relationship was found for gamma-glutamyltransferase.

CONCLUSIONS: The data may indicate that in people with Type 2 diabetes, which is associated with higher alanine aminotransferase levels because of prevalent non-alcoholic fatty liver disease, a low alanine aminotransferase level is a marker of hepatic or systemic frailty rather than health. This article is protected by copyright. All rights reserved.

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This paper presents a new framework for multi-subject event inference in surveillance video, where measurements produced by low-level vision analytics usually are noisy, incomplete or incorrect. Our goal is to infer the composite events undertaken by each subject from noise observations. To achieve this, we consider the temporal characteristics of event relations and propose a method to correctly associate the detected events with individual subjects. The Dempster–Shafer (DS) theory of belief functions is used to infer events of interest from the results of our vision analytics and to measure conflicts occurring during the event association. Our system is evaluated against a number of videos that present passenger behaviours on a public transport platform namely buses at different levels of complexity. The experimental results demonstrate that by reasoning with spatio-temporal correlations, the proposed method achieves a satisfying performance when associating atomic events and recognising composite events involving multiple subjects in dynamic environments.