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Globalisation, class and cultural identity at the end of hegemony
Globalisation traps, balkanisation, class polarisation, the dominance of transnational companies and the subordination of transnational migrants are all part of the imaging broadcast over the global media, and they merge with experiences of fear and joy in the countdown to the next millennium. The globalisation of fragmentation consists in driving a class wedge through the ethnic groups themselves
Follow me! Experimental methods for engaging with the world of graffiti writing
Keynote presentation based on the book "Street Art and the Environment" (2018).
A New Decryption Failure Attack Against HQC
HQC is an IND-CCA2 KEM running for standardization in NIST’s post-quantum cryptography project and has advanced to the second round. It is a code-based scheme in the class of public key encryptions, with given sets of parameters spanning NIST security strength 1, 3 and 5, corresponding to 128, 192 and 256 bits of classic security.In this paper we present an attack recovering the secret key of an H
Three-dimensional reconstruction of human interactions
Understanding 3d human interactions is fundamental for fine grained scene analysis and behavioural modeling. However, most of the existing models focus on analyzing a single person in isolation, and those who process several people focus largely on resolving multi-person data association, rather than inferring interactions. This may lead to incorrect, lifeless 3d estimates, that miss the subtle hu
Living with street art
This keynote talk discussed how street art may influence our perception and use of the urban environment. With a point of departure in the book "The Street Art World" (2014), it argued that the open, unsanctioned and ephemeral nature of street art plays an important role in potentially changing how we relate to our surroundings. The talk also considered how sanctioned, often large-scale, works can
Att läsa ordboken baklänges. : Om betydelseutveckling hos partikelinledda fasta sammansättningar och presentationen i SAOB
Embedding student evaluations of teaching (SET) in an integrated developmental program based on SoTL
A dark matter disc in the milky way
Dark matter direct detection experiments need to know the local phase space density of dark matter fdm(r,v,t) in order to derive dark matter particle properties. To date, calculations for fdm(r,v,t) have been based on simulations that model the dark matter alone. Here we include the influence of the baryonic matter. We find that a star/gas disc at high redshift (z∼1) causes merging satellites to b
Collaborative merging of radio SLAM maps in view of crowd-sourced data acquisition and big data
Indoor localization and navigation is a much researched and difficult problem. The best solutions, usually use expensive specialized equipment and/or prior calibration of some form. To the average person with smart or Internet-Of-Things devices, these solutions are not feasible, particularly in large scales. With hardware advancements making Ultra-Wideband devices more accurate and low powered, th
Template based human pose and shape estimation from a single RGB-D image
Estimating the 3D model of the human body is needed for many applications. However, this is a challenging problem since the human body inherently has a high complexity due to self-occlusions and articulation. We present a method to reconstruct the 3D human body model from a single RGB-D image. 2D joint points are firstly predicted by a CNN-based model called convolutional pose machine, and the 3D
German kinship laws and the politics of attachments
No title
Kulturarv och medborgerlig bildning i den svenska grundskolan
Choice Awareness and Manipulation Blindness : A cognitive semiotic exploration of choice-making
Pictorial realism and communicative understandings in children’s early picture comprehension
Foreword
Lipoprotein deficient serum stimulates the uptake of chylomicron remnants in cultured hepatocytes
Fika, hygge and hospitality : The cultural complexity of service organisation in the Öresund region
Quantum Algorithms for the Approximate k-List Problem and their Application to Lattice Sieving
The Shortest Vector Problem (SVP) is one of the mathematical foundations of lattice based cryptography. Lattice sieve algorithms are amongst the foremost methods of solving SVP. The asymptotically fastest known classical and quantum sieves solve SVP in a $d$-dimensional lattice in $2^{\const d + \smallo(d)}$ time steps with $2^{\const' d + \smallo(d)}$ memory for constants $c, c'$. In this work, w
