8,344 research outputs found
Occupational Fraud Detection Through Visualization
Occupational fraud affects many companies worldwide causing them economic
loss and liability issues towards their customers and other involved entities.
Detecting internal fraud in a company requires significant effort and,
unfortunately cannot be entirely prevented. The internal auditors have to
process a huge amount of data produced by diverse systems, which are in most
cases in textual form, with little automated support. In this paper, we exploit
the advantages of information visualization and present a system that aims to
detect occupational fraud in systems which involve a pair of entities (e.g., an
employee and a client) and periodic activity. The main visualization is based
on a spiral system on which the events are drawn appropriately according to
their time-stamp. Suspicious events are considered those which appear along the
same radius or on close radii of the spiral. Before producing the
visualization, the system ranks both involved entities according to the
specifications of the internal auditor and generates a video file of the
activity such that events with strong evidence of fraud appear first in the
video. The system is also equipped with several different visualizations and
mechanisms in order to meet the requirements of an internal fraud detection
system
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species
Invasive species are a major cause of ecological damage and commercial
losses. A current problem spreading in North America and Europe is the vinegar
fly Drosophila suzukii. Unlike other Drosophila, it infests non-rotting and
healthy fruits and is therefore of concern to fruit growers, such as vintners.
Consequently, large amounts of data about infestations have been collected in
recent years. However, there is a lack of interactive methods to investigate
this data. We employ ensemble-based classification to predict areas susceptible
to infestation by D. suzukii and bring them into a spatio-temporal context
using maps and glyph-based visualizations. Following the information-seeking
mantra, we provide a visual analysis system Drosophigator for spatio-temporal
event prediction, enabling the investigation of the spread dynamics of invasive
species. We demonstrate the usefulness of this approach in two use cases
Compact Phase Histograms for Guided Exploration of Periodicity
Periodically occurring accumulations of events or measured values are present
in many time-dependent datasets and can be of interest for analyses. The
frequency of such periodic behavior is often not known in advance, making it
difficult to detect and tedious to explore. Automated analysis methods exist,
but can be too costly for smooth, interactive analysis. We propose a compact
visual representation that reveals periodicity by showing a phase histogram for
a given period length that can be used standalone or in combination with other
linked visualizations. Our approach supports guided, interactive analyses by
suggesting other period lengths to explore, which are ranked based on two
quality measures. We further describe how the phase can be mapped to visual
representations in other views to reveal periodicity there.Comment: IEEE VIS 2023 Short Pape
Visualization and Tracking of Parallel CFD Simulations
We describe a system for interactive visualization and tracking of a 3-D unsteady computational fluid dynamics (CFD) simulation on a parallel computer. CM/AVS, a distributed, parallel implementation of a visualization environment (AVS) runs on the CM-5 parallel supercomputer. A CFD solver is run as a CM/AVS module on the CM-5. Data communication between the solver, other parallel visualization modules, and a graphics workstation, which is running AVS, are handled by CM/AVS. Partitioning of the visualization task, between CM-5 and the workstation, can be done interactively in the visual programming environment provided by AVS. Flow solver parameters can also be altered by programmable interactive widgets. This system partially removes the requirement of storing large solution files at frequent time steps, a characteristic of the traditional 'simulate (yields) store (yields) visualize' post-processing approach
Health Figures: An Open Source JavaScript Library for Health Data Visualization
The way we look at data has a great impact on how we can understand it,
particularly when the data is related to health and wellness. Due to the
increased use of self-tracking devices and the ongoing shift towards preventive
medicine, better understanding of our health data is an important part of
improving the general welfare of the citizens. Electronic Health Records,
self-tracking devices and mobile applications provide a rich variety of data
but it often becomes difficult to understand. We implemented the hFigures
library inspired on the hGraph visualization with additional improvements. The
purpose of the library is to provide a visual representation of the evolution
of health measurements in a complete and useful manner. We researched the
usefulness and usability of the library by building an application for health
data visualization in a health coaching program. We performed a user evaluation
with Heuristic Evaluation, Controlled User Testing and Usability
Questionnaires. In the Heuristics Evaluation the average response was 6.3 out
of 7 points and the Cognitive Walkthrough done by usability experts indicated
no design or mismatch errors. In the CSUQ usability test the system obtained an
average score of 6.13 out of 7, and in the ASQ usability test the overall
satisfaction score was 6.64 out of 7. We developed hFigures, an open source
library for visualizing a complete, accurate and normalized graphical
representation of health data. The idea is based on the concept of the hGraph
but it provides additional key features, including a comparison of multiple
health measurements over time. We conducted a usability evaluation of the
library as a key component of an application for health and wellness
monitoring. The results indicate that the data visualization library was
helpful in assisting users in understanding health data and its evolution over
time.Comment: BMC Medical Informatics and Decision Making 16.1 (2016
Mathematical Modelling of Chemical Diffusion through Skin using Grid-based PSEs
A Problem Solving Environment (PSE) with connections to remote distributed Grid processes is developed. The Grid simulation is itself a parallel process and allows steering of individual or multiple runs of the core computation of chemical diffusion through the stratum corneum, the outer layer of the skin. The effectiveness of this Grid-based approach in improving the quality of the simulation is assessed
New communication practices on the radio and in the audiosphere
For the past decade or so, internet radio, podcasts, mobile sound apps, and digital libraries of audio content have enjoyed increasing popularity among researchers and receivers of culture. Radio, similarly to other traditional media, often experiments with the opportunities offered by the new media technologies enabling the emergence of new communicational practices. As a starting point, I consider the contemporary audiosphere, which constitutes the auditory part of the audio-visual culture, and the influence of technological changes on radio communications, artists, and receivers. I attempt to answer the question, what happens at genre fringes? What are the characteristic features of the emerging forms? How, when one is faced with new technology, the multimedia world, and virtual reality, can one reach a reflection on the fiction and non-fiction genres on the radio? The expansive character of new technologies is often the source of inspiration for that which is traditional, thus renewing the object of its study. The inclusion of new phenomena within the widely understood auditoriness has a rescuing nature for traditional forms, and, at the same time, offers new opportunities for creators, and thus an area of research for literary scientists, media scientists and literary critics
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