Wei Pan

TL;DR: This paper proposes SoundSense, a scalable framework for modeling sound events on mobile phones that represents the first general purpose sound sensing system specifically designed to work on resource limited phones and demonstrates that SoundSense is capable of recognizing meaningful sound events that occur in users' everyday lives.

TL;DR: A ubiquitous computing approach that combines extremely rich data collection with the ability to conduct targeted experimental interventions with study populations is employed, demonstrating the value of social factors for choice, motivation, and adherence and quantifying the contribution of different incentive mechanisms.

TL;DR: This work analyzed the theoretical and practical properties of a recursive incentive mechanism that both spread information about the task and incentivized individuals to act, and compared it with other approaches.

TL;DR: Here it is demonstrated that the model provides a robust and accurate fit for the dependency of city characteristics with city-size, ranging from individual-level dyadic interactions to population level variables without the need to appeal to heterogeneity, modularity, specialization or hierarchy.

TL;DR: A novel adaptable accurate way for calculating polar FFT and log-polar FFT is developed in this paper, named multilayer fractional Fourier transform (MLFFT), which provides a mechanism to increase the accuracy by increasing the user-defined computing level.