Here are some impressions from the final project presentations of the SIE 558 Real-time Sensor Data Stream course. — The projects included
- An Arduinos and raspberry pi-based sensor network to send automatic alerts when the dog would open the fridge and check the trash can
- data analysis in the Damariscotto river and
- data analysis of fertilizer run-off in the Mississippi delta
- an Arduino-based heart rate monitoring system, and
- a Arduino-based house plant monitoring system
Today, Xueying Gu, successfully presented his MS project. Congratulations!
Master Project Presentation — Dec 15 2015, 11am SIE Library
AN ONTOLOGY-BASED APPROACH FOR ACTIVITY RECOGNITION FROM SENSORS IN OFFICES
Project Advisor: Dr. Silvia Nittel
Co-Advisor: Dr. Torsten Hahmann
Understanding the behavior of people in a building can be useful to save energy in buildings and improve efficiency of employees. To study the behavior of people in office buildings, sensors can be used to collect raw data about people’s presence in rooms and their movement through buildings. However, to understand higher-level behavioral patterns, we first developed an application ontology, written in Common Logic, that describes this information of interest at a higher level of abstraction. For example, which characteristics constitute a meeting? How are they related to movement data? Following, we translate the defined ontological concepts into MySQL scripts and Java algorithms to ‘mine’ the low-level sensor data stored in a relational database system. With the programs, we can retrieve some important information about offices such as: how frequently are offices and shares spaces utilized? How many meetings take place on average during a week? A number of use cases demonstrate the capabilities of the system.
The stages of the creative process. Encountered in every paper, or thesis. Does this sounds familiar?
In July 2015, Silvia Nittel, Lars Bodum, Keith Clarke, Michael Gould, Paulo Raposo, Jayant Sharma, and Maria Vasardani served as members of the “Emerging Technological Trends likely to Affect GIScience in the Next 20 Years” panel, which was part of the Twenty Year Anniversary of the International Early-Career Scholars Summer Institutes in Geographic Information Vespucci Institute in Bar Harbor, Maine in 2015. In this book chapter, the panelists summarize their findings about major technological developments that potentially will required novel research in GIScience.
Find the paper here.