Entry Name: "USTA-Carneiro-MC2"
VAST Challenge
2016
Mini-Challenge 2
Team Members:
Guilherme
S. M. Carneiro, University of St Andrews, gsmc@st-andrews.ac.uk PRIMARY
Victor M. de Oliveira, Universidade
Federal de Goiás,victordeoliveira@inf.ufg.br
Aaron Quigley, University of St Andrews,
aquigley@st-andrews.ac.uk
Hugo A. D. do Nascimento, Universidade Federal de Goiás,
hadn@inf.ufg.br
Student Team: NO
Tools Used:
A new information visualization system was developed for
working on this challenge. It allows visualization and exploration of dynamic
dataset through an interactive time-based graph modelling pipeline. The
following tools were used to support the implementation: Java, NetBeans IDE and
library GraphStream (http://graphstream-project.org/).
Approximately how many hours were spent
working on this submission in total?
80 hours
May we post your submission in the
Visual Analytics Benchmark Repository after VAST Challenge 2016 is complete?
YES
Video
https://drive.google.com/file/d/0B5m-_BaMn_ISMThvU0JqM0dpOHc/view?usp=sharing
Questions
MC2.1 – What are the typical patterns visible in
the prox card data? What does a typical day look like
for GAStech employees?
Limit your response to no more than 6 images and 500 words.
A typical day begins around 7am, when people start arriving.
In the afternoon, most people are on the 2nd floor. Around 6pm, they start
leaving the building but only a small group still continues there. Around
00:00h this group leaves, and only 2 people stay in the building until morning,
when they also leave.
These patterns are confirmed by looking at a graph of the
proximity cards created by our system for several chosen time windows. The
graph shows proximity cards as vertices. Only vertices that were detected by a
sensor in the given time window appear in the visualization.
The node color indicates the floor level
(blue for 1, yellow for 2, and green for 3) where the node was last detected
during the time window. The node label is the proxy-card name. If two cards
were detected by a same sensor in at most 10 minutes, inside the time windows,
then an edge is drawn connecting them.
MC2.2 – Describe up to ten of the most interesting
patterns you observe in the building data. Describe what is notable about the
pattern and explain what you can about the significance of the pattern.
Limit your response to no more than 10 images and 1000 words.
1) In general, in the afternoon
there is a lot of movement on the second floor. This is confirmed by
visualizing two graphs: the graph of the proximity cards and graph of the
sensor.
The first graph, explained before, shows the presence and
the interaction between the proximity cards. A highly connected component in it
indicates that many people stayed closed or passed by each other during the
time windows in analysis.
The other graph represents the sensors and
their detection of proximity cards in a time windows. Each node is a sensor
that generated a detection event in the time window. The color of the node
indicates the floor level where the sensor was installed. An edge linking two
sensors exists if they detect the same proximity cards during the time window.
A large densely connected component in this graph indicates movement of
proximity cards.
By visualizing the two graphs for a time
window from 13:35 to 17:05 on June 3rd (similar pattern can be observed on the
other days) one can see a intense movement of people
on on several parts of the second floor.
For comparison, pictures of the data for later time windows
are included:
At night, there is a small cluster of nodes. That is a group
of people who works until late in the building.
From
late night to morning, there are always two people on the building. They stay
on floor 1 since the nodes are always blue
2) Two proximity Cards connecting to
several nodes: tsong01 and agerard001
And these 2 nodes look a middle point from the 3rd floor
node and the rest and they work on the cluster that stays every night except
for weekends
MC2.3 – Describe up
to ten notable anomalies or unusual events you see in the data. Describe when
and where the event or anomaly occurs and describe why it is notable. If you
have more than ten anomalies to report, prioritize those anomalies that are
most likely to represent a danger or serious issue for building operation.
Limit your response to no more than 10 images and 1000 words.
On Sunday the building is used by one proxy-card Icarrara001
who arrives at 3pm and goes to the 3rd floor.
On Saturday the building is used by 2 proxy-cards:
mbramar001 arrives at 8am and ostrum001 arrives at 8:30am. They both go to the
3rd floor and stay there until mbramar001 leaves 11:30h and Ostrum
leaves at 13:00h.
MC2.4 –– Describe up to five
observed relationships between the proximity card data and building data
elements. If you find a causal relationship (for example, a building event or
condition leading to personnel behavior changes or personnel activity leading
to building operations changes), describe
your discovered cause and effect, the evidence you found to support it, and
your level of confidence in your assessment of the relationship.
Limit your response to no more than 10 images and 1000 words.
A relationship found its that the building on weekend its
only accessible by employees that have access to the 3rd floor. The 2 images
below show that the building is cleared on Friday before Saturday 00:00h.
And we can see that vawelon001 and earpa001 only have
clearance for the 1st floor and don’t have clearance for the weekends as well.
The picture shows that they start working right after 00:00h on Monday.
