Publications
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Visual Odometry System Using Multiple Stereo Cameras and Inertial Measurement Unit
In this paper, we present a robust method that addresses these challenges using a human wearable system with two pairs of backward and forward looking stereo cameras together with an…
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A Systems View Of Nanoscience Education
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Multitarget tracking in distributed sensor networks
In this paper, we provide a survey of techniques for tracking multiple targets in distributed sensor networks and introduce some recent developments.
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Can A Technology-Enhanced Curriculum Improve Student Learning Of Important Mathematics?
This project investigated the scale-up of an innovative integration of technology, curriculum, and teacher professional development aimed at improving mathematics instruction in grades 7 and 8.
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Designing Networked Handheld Devices To Enhance School Learning
We begin by discussing a simple but important factor: networked handhelds can allow a 1:1 student: device ratio for the first time, enabling ready-at-hand access to technology throughout the school…
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Proactive Behavior of a Personal Assistive Agent
Our model for proactive assistance employs a meta-level layer to identify potentially helpful actions and determine when it is appropriate to perform them. We conclude by identifying technical challenges in…
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Microstructure foundations of high carrier mobility in polymers
We combine complementary microstructure measurements including polarized absorption spectroscopies (infrared, visible, and X-ray), scanning probe techniques, and X-ray diffraction (XRD) to investigate the microstructure details of polymer semiconductors for organic…
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Comparing theory and hypotheses to electric force microscope data: are we thinking about injection, trapping, and transport correctly in organic electronic materials?
In this talk we will show that ultrasensitive cantilevers can likewise measure the local charge diffusion constant via the effect of the associated electric field fluctuations on cantilever frequency and…
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Assessing Students. Performance Longitudinally: Item Difficulty Parameter Vs. Skill Learning Tracking
We are engaged in an effort to investigate if we can do a better job of predicting a large scale test (MCAS) by modeling individual skills in different grain-sized skill…
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Unsupervised Language Model Adaptation for Meeting Recognition
We present an application of unsupervised language model (LM) adaptation to meeting recognition, in a scenario where sequences of multiparty meetings on related topics are to be recognized, but no…
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Noise Robust Speaker Identification for Spontaneous Arabic Speech
We present an approach that integrates multiple components and models for improved speaker identification in spontaneous Arabic speech in adverse acoustic conditions.
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Deductive Biocomputing
We describe a deduction-based approach to biocomputation that semiautomatically combines knowledge, software, and data to satisfy goals expressed in a high-level biological language.