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Early power modeling and analysis using electronic system-level methodology enables designers to explore energy saving opportunities more efficiently at a higher abstraction level. However, power modeling for third party IPs are challenging due to the limited observability and unknown architecture details. To model the data dependency for blackbox IPs, several works rely on adopting Hamming distance...
In this paper, we propose an alternative method to estimate room layouts of cluttered indoor scenes. This method enjoys the benefits of two novel techniques. The first one is semantic transfer (ST), which is: (1) a formulation to integrate the relationship between scene clutter and room layout into convolutional neural networks, (2) an architecture that can be end-to-end trained, (3) a practical strategy...
Reliability is the most important property for insulators applied in electric power. As for composite insulators, hydrophobicity is a valuable and significant property in practical service. In this paper, based on dynamic contact angle measurement, a novel method to estimate the hydrophobicity of composite insulators is suggested. Using the new criteria, the hydrophobicity of composite insulators...
This paper introduces a cost-effective and robust positioning architecture that relies on wireless sensor networks (WSNs) for construction resources localization. The architecture determines the location of mobile sensor nodes by evaluating radio signal strengths (RSS) received by stationary sensor nodes. Only a limited quantity of reference points with known locations and pre-calibrated RSS in relation...
This paper addresses the problem of estimating the odor path which is most likely taken by the odor patch detected by the concentration sensor on a mobile robot moving in an indoor dynamic airflow environment. The odor path estimation is useful for plume tracing and odor source declaration. A novel algorithm for odor path likelihood mapping in the dynamic airflow environment is proposed. The algorithm...
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