5,427 research outputs found
ROTUNDE - A Smart Meeting Cinematography Initiative: Tools, Datasets, and Benchmarks for Cognitive Interpretation and Control
We construe smart meeting cinematography with a focus on professional
situations such as meetings and seminars, possibly conducted in a distributed
manner across socio-spatially separated groups. The basic objective in smart
meeting cinematography is to interpret professional interactions involving
people, and automatically produce dynamic recordings of discussions, debates,
presentations etc in the presence of multiple communication modalities. Typical
modalities include gestures (e.g., raising one's hand for a question,
applause), voice and interruption, electronic apparatus (e.g., pressing a
button), movement (e.g., standing-up, moving around) etc. ROTUNDE, an instance
of smart meeting cinematography concept, aims to: (a) develop
functionality-driven benchmarks with respect to the interpretation and control
capabilities of human-cinematographers, real-time video editors, surveillance
personnel, and typical human performance in everyday situations; (b) Develop
general tools for the commonsense cognitive interpretation of dynamic scenes
from the viewpoint of visuo-spatial cognition centred perceptual
narrativisation. Particular emphasis is placed on declarative representations
and interfacing mechanisms that seamlessly integrate within large-scale
cognitive (interaction) systems and companion technologies consisting of
diverse AI sub-components. For instance, the envisaged tools would provide
general capabilities for high-level commonsense reasoning about space, events,
actions, change, and interaction.Comment: Appears in AAAI-2013 Workshop on: Space, Time, and Ambient
Intelligence (STAMI 2013
Global detection and analysis of coastline associated rainfall using an objective pattern recognition technique
Coastally associated rainfall is a common feature especially in tropical and
subtropical regions. However, it has been difficult to quantify the
contribution of coastal rainfall features to the overall local rainfall. We
develop a novel technique to objectively identify precipitation associated with
land-sea interaction and apply it to satellite based rainfall estimates. The
Maritime Continent, the Bight of Panama, Madagascar and the Mediterranean are
found to be regions where land-sea interactions plays a crucial role in the
formation of precipitation. In these regions 40% to 60% of the total
rainfall can be related to coastline effects. Due to its importance for the
climate system, the Maritime Continent is a particular region of interest with
high overall amounts of rainfall and large fractions resulting from land-sea
interactions throughout the year. To demonstrate the utility of our
identification method we investigate the influence of several modes of
variability, such as the Madden-Julian-Oscillation and the El Ni\~no Southern
Oscillation, on coastal rainfall behavior. The results suggest that during
large scale suppressed convective conditions coastal effects tend modulate the
rainfall over the Maritime Continent leading to enhanced rainfall over land
regions compared to the surrounding oceans. We propose that the novel objective
dataset of coastally influenced precipitation can be used in a variety of ways,
such as to inform cumulus parametrization or as an additional tool for
evaluating the simulation of coastal precipitation within weather and climate
models
Hitchcock's (2001) treatment of singular and general causation
Hitchcock (2001a) argues that the distinction between singular and general causation conflates the two distinctions ‘actual causation vs. causal tendencies' and ‘wide vs. narrow causation'. Based on a recent regularity account of causation I will show that Hitchcock's introduction of the two distinctions is an unnecessary multiplication of causal concept
Role of anisotropy for protein-protein encounter
Protein-protein interactions comprise both transport and reaction steps.
During the transport step, anisotropy of proteins and their complexes is
important both for hydrodynamic diffusion and accessibility of the binding
site. Using a Brownian dynamics approach and extensive computer simulations, we
quantify the effect of anisotropy on the encounter rate of ellipsoidal
particles covered with spherical encounter patches. We show that the encounter
rate depends on the aspect ratios mainly through steric effects,
while anisotropic diffusion has only a little effect. Calculating analytically
the crossover times from anisotropic to isotropic diffusion in three
dimensions, we find that they are much smaller than typical protein encounter
times, in agreement with our numerical results.Comment: 4 pages, Revtex with 3 figures, to appear as a Rapid Communication in
Physical Review
Near-optimal adjacency labeling scheme for power-law graphs
An adjacency labeling scheme is a method that assigns labels to the vertices
of a graph such that adjacency between vertices can be inferred directly from
the assigned label, without using a centralized data structure. We devise
adjacency labeling schemes for the family of power-law graphs. This family that
has been used to model many types of networks, e.g. the Internet AS-level
graph. Furthermore, we prove an almost matching lower bound for this family. We
also provide an asymptotically near- optimal labeling scheme for sparse graphs.
Finally, we validate the efficiency of our labeling scheme by an experimental
evaluation using both synthetic data and real-world networks of up to hundreds
of thousands of vertices
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