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Challenges and Opportunities in IoT Data Markets
Tremendous amount of Internet of Things (IoT) data is seamlessly generated and collected by ubiquitous sensors to facilitate critical decision making in various scenarios. However, due to the lack of open and effective data sharing and trading platforms,...
Offline Consequences of Echo Chambers
Echo chambers exist both online and offline, and in both situations they can affect individuals' opinions and behavior. There is a need for an assessment of the relative strength of online and offline echo chambers, and their interaction, on offline ...
Maximizing Influence Diffusion over Evolving Social Networks
Influence diffusion in social networks has been intensively studied over last two decades. Most prior arts assume that the underlying network structure is static, remaining fixed during the influence diffusion process. However, many real networks are ...
HeteroSense: An Occupancy Sensing Framework for Multi-Class Classification for Activity Recognition and Trajectory Detection
Occupancy behavior in buildings is challenging to define and quantify because of their stochastic, diverse and complex nature. Indoor environment and energy usage in buildings are significantly influenced by the actions and behavior of occupants. ...
Improving QoE in Multi-layer Social Sensing: A Cognitive Architecture and Game Theoretic Model
This paper proposes a novel cognitive architecture and game-theoretic model for resource sharing among netizens, thus improving their quality of experience (QoE) in multi-layer social sensing environments. The underlying approach is to quantify micro-...
CarbonKit: Designing A Personal Carbon Tracking Platform
Ubiquitous technology platforms have been created to track and improve health and fitness; similar technologies can help individuals monitor and reduce their carbon footprints. This paper proposes CarbonKit -- a platform combining technology, markets, ...
Bot Detection in Reddit Political Discussion
The existence of social media bots on political forums can muddle the perception of public opinion. Bot detection has been successful on platforms such as Twitter, Facebook and Youtube. However, our research focuses on characterizing suspicious behavior ...
A Human-in-the-Loop Cyber-Physical Approach for Students Performance Assessment
- J. Fernandes,
- D. Raposo,
- S. Sinche,
- N. Armando,
- J. Sa Silva,
- A. Rodrigues,
- L. Macedo,
- H. Gonçalo Oliveira,
- F. Boavida
As the number of smart devices that surround us increases, so do the possibilities of leveraging them to create intelligent, socially-aware systems. However, apart from e-health systems, few applications consider humans as active system players. In fact,...
A Vision for Adaptive and Generalizable Audio-Sensing Systems
We present our vision and key research directions for next generation audio and speech-sensing systems, to make them robust against variabilities in sensing hardware and operating conditions.