Nipun Dave

In this paper we model a specific type of network shrinkage that appears to occur in real-world networks, namely the sudden disintegration of edges following some initial stress. We hypothesize that the behavior underlying this type of network shrinkage is triadic disruption, which has a cascading effect through a network. We propose three probabilistic and three deterministic mechanisms to model this behavior. We evaluate the performance of the mechanisms on Erdos-Renyi and power-law generated… Show more

In this paper we model a specific type of network shrinkage that appears to occur in real-world networks, namely the sudden disintegration of edges following some initial stress. We hypothesize that the behavior underlying this type of network shrinkage is triadic disruption, which has a cascading effect through a network. We propose three probabilistic and three deterministic mechanisms to model this behavior. We evaluate the performance of the mechanisms on Erdos-Renyi and power-law generated networks as well as three real-world networks, and identify as the best performer a probabilistic mechanism whose probability of edge disruption decreases exponentially with distance from the initial stress. Show less

Patient Health Record (PHR) systems offer great promise but raise significant philosophical, cultural, legal, and technical challenges. In hopes of furthering debate on key issues, we explain some central questions about the role, purpose,
and policies associated with these systems. We also propose a framework for addressing policy questions and candidate technology that we believe may sharpen policy discussion and allow PHR systems to adhere to policies they adopt.

We propose a new time-adaptive windowing technique to obtain a sparse time-frequency representation for audio signals. This transformation helps in providing better source separation from stereo mixtures for improved subsequent spatial rendering over headphones. We start with standard stereo audio recordings, transform them to a sparse representation and then estimate the
mixing parameters to be used for source separation. The performance of the new representation is compared with existing… Show more

We propose a new time-adaptive windowing technique to obtain a sparse time-frequency representation for audio signals. This transformation helps in providing better source separation from stereo mixtures for improved subsequent spatial rendering over headphones. We start with standard stereo audio recordings, transform them to a sparse representation and then estimate the
mixing parameters to be used for source separation. The performance of the new representation is compared with existing methods via the accuracy of mixing parameters estimation for a
test dataset of multi-speaker stereo mixtures. Show less

This paper proposes a low cost and small design of 3 Degrees of Freedom (3-DOF) sensors. The main objective of these sensors is to measure precisely the absolute position X,Y and theta_z with a high resolutions. The principle of this design relies on a target with a specific periodic pattern with absolute position information encoded in it. To improve the reliability and the resolution of the absolute position of the target, we derived
efficient and optimized (in term of complexity and time… Show more

This paper proposes a low cost and small design of 3 Degrees of Freedom (3-DOF) sensors. The main objective of these sensors is to measure precisely the absolute position X,Y and theta_z with a high resolutions. The principle of this design relies on a target with a specific periodic pattern with absolute position information encoded in it. To improve the reliability and the resolution of the absolute position of the target, we derived
efficient and optimized (in term of complexity and time of
computation) image processing algorithms. Show less

In this paper, we present a new concept of 3 Degrees Of Freedom (3-DOF) sensors, which are capable of measuring the absolute position X-Y with a resolution less than 0.16µm (defined here as 4sigma and sigma denotes the standard deviation) and the orientation thetaz (over 360°) with a resolution of 0.48'. The principle of this low-cost and small-size 3-DOF sensor relies on a target with a specific pattern that includes periodic absolute position information that can be used to enhance the… Show more

In this paper, we present a new concept of 3 Degrees Of Freedom (3-DOF) sensors, which are capable of measuring the absolute position X-Y with a resolution less than 0.16µm (defined here as 4sigma and sigma denotes the standard deviation) and the orientation thetaz (over 360°) with a resolution of 0.48'. The principle of this low-cost and small-size 3-DOF sensor relies on a target with a specific pattern that includes periodic absolute position information that can be used to enhance the position resolution by statistical analysis. Efficient image processing algorithms are applied to improve both the reliability and the resolution of the target positioning and are optimized in term of processing complexity (i.e., time of processing). Show less