Search results for "TRACK"
showing 10 items of 975 documents
Constraints on ultra-high-energy cosmic ray sources from a search for neutrinos above 10 PeV with IceCube
2016
We report constraints on the sources of ultra-high-energy cosmic ray (UHECR) above $10^{9}$ GeV, based on an analysis of seven years of IceCube data. This analysis efficiently selects very high energy neutrino-induced events which have deposited energies from $\sim 10^6$ GeV to above $10^{11}$ GeV. Two neutrino-induced events with an estimated deposited energy of $(2.6 \pm 0.3) \times 10^6$ GeV, the highest neutrino energies observed so far, and $(7.7 \pm 2.0) \times 10^5$ GeV were detected. The atmospheric background-only hypothesis of detecting these events is rejected at 3.6$\sigma$. The hypothesis that the observed events are of cosmogenic origin is also rejected at $>$99% CL because of…
Search for sterile neutrino mixing using three years of IceCube DeepCore data
2017
Physical review / D 95(11), 112002(2017). doi:10.1103/PhysRevD.95.112002
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking
2018
We propose an algorithm for real-time 6DOF pose tracking of rigid 3D objects using a monocular RGB camera. The key idea is to derive a region-based cost function using temporally consistent local color histograms. While such region-based cost functions are commonly optimized using first-order gradient descent techniques, we systematically derive a Gauss-Newton optimization scheme which gives rise to drastically faster convergence and highly accurate and robust tracking performance. We furthermore propose a novel complex dataset dedicated for the task of monocular object pose tracking and make it publicly available to the community. To our knowledge, it is the first to address the common and…
Fast Neural Machine Translation Implementation
2018
This paper describes the submissions to the efficiency track for GPUs at the Workshop for Neural Machine Translation and Generation by members of the University of Edinburgh, Adam Mickiewicz University, Tilde and University of Alicante. We focus on efficient implementation of the recurrent deep-learning model as implemented in Amun, the fast inference engine for neural machine translation. We improve the performance with an efficient mini-batching algorithm, and by fusing the softmax operation with the k-best extraction algorithm. Submissions using Amun were first, second and third fastest in the GPU efficiency track.
Quantum algorithm for tree size estimation, with applications to backtracking and 2-player games
2017
We study quantum algorithms on search trees of unknown structure, in a model where the tree can be discovered by local exploration. That is, we are given the root of the tree and access to a black box which, given a vertex $v$, outputs the children of $v$. We construct a quantum algorithm which, given such access to a search tree of depth at most $n$, estimates the size of the tree $T$ within a factor of $1\pm \delta$ in $\tilde{O}(\sqrt{nT})$ steps. More generally, the same algorithm can be used to estimate size of directed acyclic graphs (DAGs) in a similar model. We then show two applications of this result: a) We show how to transform a classical backtracking search algorithm which exam…
The overstated generational gap in online news use? A consolidated infrastructural perspective
2021
Recent research by Taneja et al. suggested that digital infrastructures diminish the generational gap in news use by counteracting preference structures. We expand on this seminal work by arguing that an infrastructural perspective requires overcoming limitations of highly aggregated web tracking data used in prior research. We analyze the individual browsing histories of two representative samples of German Internet users collected in 2012 ( N = 2970) and 2018 ( N = 2045) and find robust evidence for a smaller generational gap in online news use than commonly assumed. While short news website visits mostly demonstrated infrastructural factors, longer news use episodes were shaped more by …
The Power of Smiling. How Politicians’ Displays of Happiness Affect Viewers’ Gaze Behavior and Political Judgments
2019
It is a common assumption that facial expressions of politicians, such as a smile, are powerful tools to draw attention and evoke positive impressions. However, previous research has not fully linked politicians’ nonverbal behavior, viewers’ visual attention and their political impression formation. To address this gap, the research presented in this chapter uses a multi-method design to explore the role of a politician’s smiling for viewers’ judgments about him. More precisely, a laboratory study examined the visual attention (eye-tracking; n = 122) and spontaneous judgments of viewers (continuous response measurement; n = 125) while the participants were exposed to an excerpt of a German …
Future use of silicon photomultipliers for Kaos at MAMI and P¯ANDA at FAIR
2009
A characterisation of scintillating fibres with silicon photomultiplier read-out was performed in view of their possible application in fibre tracking detector systems. Such a concept is being considered for the Kaos spectrometer at the Mainz Microtron MAMI and as a time-of-flight start detector for the hypernuclear physics programme at the PANDA experiment of the FAIR project. Results on particle detection effciency and time resolution are discussed. In summary, the silicon devices are very suitable for the detection of the low light yield from scintillating fibres insofar a trigger scheme is found to cope with the noise rate characteristics.
Hong Kong’s EDI bandwagon Derailed or on the right track?
1997
In this paper we explore the adoption of a complex networked technology — that of Electronic Data Interchange (EDI) — in the context of Hong Kong. EDI forms a complex and interorganizational innovation and therefore we suggest a multi-theoretical framework to examine its diffusion. The framework takes into account institutional, industry specific and organizational factors in the study of diffusion processes and thus extends the analysis beyond organizational borders. Using the framework we deliver an account of the EDI diffusion in Hong Kong based on field study data. The study clarifies how simultaneous organizational, industry and environmental factors can be brought to bear to understan…
Principles of Calculation of Track Access Charges in Rail Freight Transport in Poland
2019
Non-discriminatory rules for access to the railway infrastructure as well as transparent pricing system are the essential factors of ensuring that the freight transport in Poland is competitive enough. Infrastructure managers pass some categories of their costs (e.g. for maintaining of railway infrastructure) on railway undertakings in the form of access charges verified andaccepted by the Polish regulatory body. In general, approximately one – third of their costs shall be paid by railway undertakings. Given that access charges are treated as one of the most important factors for both railway undertakings and railway infrastructure man-agers. The aim of this article is to review the main p…