5,469 research outputs found
Spatial Awareness in Locative Media Projects
This MRP focuses on the different applications that location technologies take part of such as, free based navigational systems like Google Maps, and Locative Media art projects; and analyzes their impact on people and their experience of space. By determining that Google Maps and Locative Media are on different sides of the spectrum of location technologies, I suggest that they are developing different territorial discourses through the use of digital mapping. I suggest that Google Maps is developing a territorialization of space by modifying the way in which the body recognizes space, by creating an image of the world that is designed towards a single user—the Google user—and by imposing itself as a map that is able to represent space. Using a theoretical approach towards understanding these effects, I then analyze three Locative Media project that challenge these ideas, they are: Cary Peppermint’s project, “Indeterminate Hikes,”“Megafone/Montreal in*accessible” by Antoni Abad, and “Amsterdam Real Time” by the Waag Society
A Framework for Automatic Behavior Generation in Multi-Function Swarms
17 USC 105 interim-entered record; under review.Multi-function swarms are swarms that solve multiple tasks at once. For example, a quadcopter swarm could be tasked with exploring an area of interest while simultaneously functioning as ad-hoc relays. With this type of multi-function comes the challenge of handling potentially conflicting requirements simultaneously. Using the Quality-Diversity algorithm MAP-elites in combination with a suitable controller structure, a framework for automatic behavior generation in multi-function swarms is proposed. The framework is tested on a scenario with three simultaneous tasks: exploration, communication network creation and geolocation of Radio Frequency (RF) emitters. A repertoire is evolved, consisting of a wide range of controllers, or behavior primitives, with different characteristics and trade-offs in the different tasks. This repertoire enables the swarm to online transition between behaviors featuring different trade-offs of applications depending on the situational requirements. Furthermore, the effect of noise on the behavior characteristics in MAP-elites is investigated. A moderate number of re-evaluations is found to increase the robustness while keeping the computational requirements relatively low. A few selected controllers are examined, and the dynamics of transitioning between these controllers are explored. Finally, the study investigates the importance of individual sensor or controller inputs. This is done through ablation, where individual inputs are disabled and their impact on the performance of the swarm controllers is assessed and analyzed
A Framework for Automatic Behavior Generation in Multi-Function Swarms
Multi-function swarms are swarms that solve multiple tasks at once. For
example, a quadcopter swarm could be tasked with exploring an area of interest
while simultaneously functioning as ad-hoc relays. With this type of
multi-function comes the challenge of handling potentially conflicting
requirements simultaneously. Using the Quality-Diversity algorithm MAP-elites
in combination with a suitable controller structure, a framework for automatic
behavior generation in multi-function swarms is proposed. The framework is
tested on a scenario with three simultaneous tasks: exploration, communication
network creation and geolocation of RF emitters. A repertoire is evolved,
consisting of a wide range of controllers, or behavior primitives, with
different characteristics and trade-offs in the different tasks. This
repertoire would enable the swarm to transition between behavior trade-offs
online, according to the situational requirements. Furthermore, the effect of
noise on the behavior characteristics in MAP-elites is investigated. A moderate
number of re-evaluations is found to increase the robustness while keeping the
computational requirements relatively low. A few selected controllers are
examined, and the dynamics of transitioning between these controllers are
explored. Finally, the study develops a methodology for analyzing the makeup of
the resulting controllers. This is done through a parameter variation study
where the importance of individual inputs to the swarm controllers is assessed
and analyzed
ARTiVIS Arts, real-time video and interactivity for sustainability
Dissertação para obtenção do Grau de Doutor em Media DigitaisPortuguese Foundation for Science and Technology (SFRH/BD/42555/2007
The Evolution of First Person Vision Methods: A Survey
The emergence of new wearable technologies such as action cameras and
smart-glasses has increased the interest of computer vision scientists in the
First Person perspective. Nowadays, this field is attracting attention and
investments of companies aiming to develop commercial devices with First Person
Vision recording capabilities. Due to this interest, an increasing demand of
methods to process these videos, possibly in real-time, is expected. Current
approaches present a particular combinations of different image features and
quantitative methods to accomplish specific objectives like object detection,
activity recognition, user machine interaction and so on. This paper summarizes
the evolution of the state of the art in First Person Vision video analysis
between 1997 and 2014, highlighting, among others, most commonly used features,
methods, challenges and opportunities within the field.Comment: First Person Vision, Egocentric Vision, Wearable Devices, Smart
Glasses, Computer Vision, Video Analytics, Human-machine Interactio
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Stakeholder engagement in sustainable housing refurbishment in the UK
The UK government is committed to effectively implement a viable sustainable agenda in the social housing sector. To this end housing associations and local authorities are being encouraged to improve the environmental performance of their new and existing homes. Whilst much attention has been focused on new housing (e.g. the Code for Sustainable Homes) little effort has been focussed on improving the 3.9 (approx) million homes maintained and managed by the public sector (in England), which, given the low rate of new build and demolition (<1% in England), will represent approximately 70% of the public housing stock in 2050. Thus, if UK is to achieve sustainable public housing the major effort will have to focus on the existing stock. However, interpreting the sustainability agenda for an existing housing portfolio is not a straight foreword activity. In addition to finding a ‘technical’ solution, landlords also haveto address the socio-economic issues that balance quality of expectations of tenants with the economic realities of funding social housing refurbishment. This paper will report the findings of a qualitative study
(participatory approach) that examined the processes by which a large public landlord sought to develop
a long-term sustainable housing strategy. Through a series of individual meetings and group workshops
the research team identified: committed leadership; attitudes towards technology; social awareness; and
collective understanding of the sustainability agenda as key issues that the organisation needed to address
in developing a robust and defendable refurbishment strategy. The paper concludes that the challenges
faced by the landlord in improving the sustainability of their existing stock are not primarily technical, but
socio-economic. Further, while the economic challenges: initial capital cost; lack of funding; and pay-back
periods can be overcome, if the political will exists, by fiscal measures; the social challenges: health & wellbeing;
poverty; security; space needs; behaviour change; education; and trust; are much more complex in
nature and will require a coordinated approach from all the stakeholders involved in the wider community
if they are to be effectively addressed. The key challenge to public housing landlords is to develop
mechanisms that can identify and interpret the complex nature of the social sustainability agenda in a way
that reflects local aspirations (although the authors believe the factors will exist in all social housing communities, their relative importance is likely to vary between communities) whilst addressing Government
agendas
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