Swedish Institute of Computer Science Publications Database
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Green Memes
No full text'Green Memes' proposes an online social network and local kiosks for people to learn about energy consumption. Based on electricity data collected from smart grids, meters and sensors, data visualizations depict consumption per building, per person and at many other scales. A social networking function is attached to these — text messages, or ‘green memes’, invite users to engage with energy-savings advice, current events and sustainability research. Accessible online, through mobile devices, or installed locally, Green Memes combines ‘hard data’ with the ‘soft power’ of personalized information, public opinion and face- to-face communication. The project is currently seeking partners to further develop the system and interface design
Come drive with me: an ethnographic study of driver-passenger pairs to inform future in-car assistance
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Model-based Test Suite Generation for Function Block Diagrams using the UPPAAL Model Checker
No full textConfabulation in the Time of Transdisciplinarity: Reflection on HCI Education and a Call for Conversation
No full textImplementation and Evaluation of NetInf TP, an Information-centric Transport Protocol
No full textIn recent times, there has been a significant growth in the number of
Internet users, resulting in an increased demand for different types
and amounts of content. As content distribution over the
Internet has become a key issue, one proposal is that the Internet
architecture could evolve to a more ``Information-Centric'' paradigm
instead of the currently designed ``Host-Centric'' paradigm. In the
host-based architecture, the data is often restricted to a location
and will become unavailable if the host holding the data (or network
connection) becomes unreachable.
With the Information-centric data approach, the requestor requests
data and receives it regardless of where the data actually originated
from. Hence, the focus moves from ``where'' to ``what'' one is
interested in. The heterogeneity of access methods and devices makes
this type of approach even more appealing, especially when caching of
data at intermediate points can be achieved. The prototype developed
in the thesis builds an important part of the Information-Centric
vision, that is a receiver-driven transport protocol. This is
in contrast to the host-centric transport protocols which are always
source driven. The advantage of having the receiver driven feature is
to allow for multiple senders or receivers of the same data. That is,
one receiver may ask more than one holder to send different pieces of
the same file.
We have implemented, simulated and assessed the performance of the
proposed protocol, hereby called NetInf TP. Since the
protocol may have to co-exist with existing sender driven TCP
implementations for some time, we have looked at the inter-operation
of NetInf TP with TCP variants from both qualitative and quantitative
perspectives
State of The Art and Hot Aspects in Cloud Data Storage Security
Get PDFAlong with the evolution of cloud computing and cloud storage towards matu-
rity, researchers have analyzed an increasing range of cloud computing security
aspects, data security being an important topic in this area. In this paper, we
examine the state of the art in cloud storage security through an overview of
selected peer reviewed publications. We address the question of defining cloud
storage security and its different aspects, as well as enumerate the main vec-
tors of attack on cloud storage. The reviewed papers present techniques for key
management and controlled disclosure of encrypted data in cloud storage, while
novel ideas regarding secure operations on encrypted data and methods for pro-
tection of data in fully virtualized environments provide a glimpse of the toolbox
available for securing cloud storage. Finally, new challenges such as emergent
government regulation call for solutions to problems that did not receive enough
attention in earlier stages of cloud computing, such as for example geographical
location of data. The methods presented in the papers selected for this review
represent only a small fraction of the wide research effort within cloud storage
security. Nevertheless, they serve as an indication of the diversity of problems
that are being addressed
Explanation
No full textDesign has historically been employed in service to expanding industrial production and consumer culture – perhaps it is no wonder that design has often been seen as part of the problem within sustainability discourse. Sustainability requires fundamentally rethinking the organization of everyday life in terms such as ecological complexity, social responsibility and risky futures. A role for design in this is to question the status quo, to critically reframe the issues at hand by materializing alternatives within the here and now. Such a role for design increases its agency within social processes, in which the materials and methods of design mobilize critical reflection and influence public discourse. Critical practices of design do not produce the traditional ‘objects’ of design, intended to be built or lived in, industrially produced or mass-consumed – though such practices are deeply rooted in design skills, processes and materiality. Such practices practices provide vivid reformulations – and urgently needed visions – of what design could be and what society could look like. This book embodies our inquiry as the story of SWITCH!, a design research program carried out since 2008 by an international team of designers, artists, architects, computer and social scientists at the Interactive Institute in Sweden. This chapter, ‘Explanation’, discusses the contexts and motivations for this work, along with the research themes ‘energy ecologies’ and ‘critical practices’. The project set-up and contributors are also described
Target Language Adaptation of Discriminative Transfer Parsers
Get PDFWe study multi-source transfer parsing for resource-poor target languages; specifically methods for target language adaptation of delexicalized discriminative graph-based dependency parsers. We first show how recent insights on selective parameter sharing, based on typological and language-family features, can be applied to a discriminative parser by carefully decomposing its model features. We then show how the parser can be relexicalized and adapted using unlabeled target language data and a learning method that can incorporate diverse knowledge sources through ambiguous labelings. In the latter scenario, we exploit two sources of knowledge: arc marginals derived from the base parser in a self-training algorithm, and arc predictions from multiple transfer parsers in an ensemble-training algorithm. Our final model outperforms the state of the art in multi-source transfer parsing on 15 out of 16 evaluated languages