NSGA-II is a multi-objective evolutionary algorithm, and its performance is so good that it has become very popular in the last few years. To improve the efficiency of NSGA-II for bi-objective optimization problem, in...
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Effectively teaching human-centered design can pose challenges within the undergraduate curriculum as it requires access to users and stakeholders. Service-learning, a growing pedagogy within engineering, offers many ...
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There is an increasing demand for creative scientific, engineering, and management talent to meet national needs. We believe that the best way to educate professionals for leadership roles is in a unified multi-discip...
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Determining multiple pitches in noisy and reverberant speech is an important and challenging task. We propose a robust multipitch tracking algorithm in the presence of both background noise and room reverberation. A n...
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ISBN:
(纸本)9781424442959
Determining multiple pitches in noisy and reverberant speech is an important and challenging task. We propose a robust multipitch tracking algorithm in the presence of both background noise and room reverberation. A new channel selection method is utilized in conjunction with an auditory front-end to extract periodicity features in the time-frequency space. These features are combined to formulate frame level conditional probabilities given each pitch state. A hidden Markov model is then applied to integrate these probabilities and search for the most likely pitch state sequences. The proposed approach can reliably detect up to two simultaneous pitch contours in noisy and reverberant conditions. Quantitative evaluations show that our system significantly outperforms existing ones, particularly in reverberant environments.
Distributed energy resources (DER), including small-scale generation, renewable energy technologies, and demand response, are disadvantaged with respect to central generating facilities as a consequence of being exclu...
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Scanning Kelvin probe microscopy (SKPM) and conductive atomic force microscopy (C-AFM) are used to image surfaces of GaN grown by molecular beam epitaxy (MBE). Numerical simulations are used to assist in the interpret...
Scanning Kelvin probe microscopy (SKPM) and conductive atomic force microscopy (C-AFM) are used to image surfaces of GaN grown by molecular beam epitaxy (MBE). Numerical simulations are used to assist in the interpretation of SKPM images. Detailed analysis of the same area using both techniques allows imaging of surface potential variations arising from the presence of negatively charged dislocations and dislocation-related current leakage paths. Correlations between the charge state of dislocations, conductivity of leakage current paths, and possibly dislocation type can thereby be established. Approximately 25% of the leakage paths appear to be spatially correlated with negatively charged dislocation features. This is approximately the level of correlation expected due to spatial overlap of randomly distributed, distinct features of the size observed, suggesting that the negatively charged dislocations are distinct from those responsible for localized leakage paths found in GaN. The effects of charged dislocation networks on the local potential profile is modeled and discussed.
Visualization of highway traffic environments in virtual reality plays a key role on fidelity of simulation and validity of driving behaviors in driving simulator studies. This paper describes a procedure to replicate...
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Visualization of highway traffic environments in virtual reality plays a key role on fidelity of simulation and validity of driving behaviors in driving simulator studies. This paper describes a procedure to replicate a signalized intersection with many complex features into a driving simulator's 3-D databases through building a graphical visual database, constructing a road motion database, and creating simulated traffic. The validity of the visualization was assessed via the comparison of the drivers' speeds in the simulator and the speed data at the real intersection. It was found that both speed data follow normal distributions and have equal means for each intersection approach;however, that the speeds measured in the driving simulator have a larger variability than those measured in the field. The users' subjective evaluation results indicated that 92% subjects could recognize the simulated intersection in the driving simulator experiment. Therefore, the strategy of geo-specific environment modeling would be useful for studying driving behaviors in virtual environments.
We present UbiSketch, a tool for ubiquitous real-time sketch-based communication. We describe the UbiSketch system, which enables people to create doodles, drawings, and notes with digital pens and paper and publish t...
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ISBN:
(纸本)9781605588438
We present UbiSketch, a tool for ubiquitous real-time sketch-based communication. We describe the UbiSketch system, which enables people to create doodles, drawings, and notes with digital pens and paper and publish them quickly and easily via their mobile phones to social communication channels, such as Facebook, Twitter, and email. The natural paper-based social interaction enabled by UbiSketch has the potential to enrich current mobile communication practices.
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