Data

Summary

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represents the raw facts and figures which can be used in such a manner in order to capture the

Official source

https://en.wikipedia.org/wiki/Data

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Normalisation of Histogrammed List Mode Data

Many PET scanners nowadays have the possibility to record event-by-event information, known as list mode data. This has the advantage of keeping the data in the highest possible resolution (both temporal and spatial). In most cases, list mode data are then binned into sinogram format before reconstruction. In this paper, we discuss at which stage normalisation factors should be introduced. It is shown that noise is greatly reduced by performing the normalisation after the binning. We illustrate this with acquired and simulated data for the quad HiDAC camera.

2008

Pedestrian Destinations in Paléo Music Festival from Bluetooth Traces

Elisaveta Kondratieva

Can we guess the destinations of attendees in a music festival from Bluetooth traces collected by 10 people with smartphones used as antennas? This project analyzes an existing dataset of Bluetooth traces from Paléo music festival in Nyon, Switzerland. The goal of the project is to follow Paléo festival attendees using collected Bluetooth traces and analyze specifications of the collected data in terms of precision and results, to predict attendees behaviour and crowd movement. The data was collected on July 24th, 2010 by ten agents scanning for visible Bluetooth devices. The methodology for tracing Paléo festival attendees is a Bayesian approach derived by Danalet et al. [2012].

2013

Ice calving is the breakaway process of icebergs which plays an important role in the dy- namics and the mass balance of ice sheets. Our project is to use Akantu (An open source object-oriented Finite Element library by LSMS) to reproduce the fracturing stages of the Bowdoin glacier in Greenland. Studies were first made on the mechanisms of ice calving and the provided data, to extract the key factors for our simulation. The HPC (high performance computing) simulation model was built by Python scripts, including preprocessing mesh file, applying arbitrary loading profiles, defining boundary conditions and initial conditions, pass- ing message through the simulation process, etc. The simulation scheme has been modified to better analysis the impact of water pressure and velocity field. Simulation acceleration was also implemented by amplifying the velocity field, so that the damage initiation and propagation could be explored faster. Some preliminary results about the relationship of system energy and damage propagation was analyzed. In the end, we proposed some study direction for the future researchers on the similar subject.

2019