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Hybrid machine learning approaches for scene understanding: From segmentation and recognition to image parsing
(2017-05)
We alleviate the problem of semantic scene understanding by studies on object segmentation/recognition and scene labeling methods respectively. We propose new techniques for joint recognition, segmentation and pose estimation ...
Sparse signal recovery and detection utilizing side information
(2017-10)
In this dissertation, we investigate the signal recovery and detection task for compressive sensing and wireless spectrum sensing. First, we investigate the compressive sensing task for the difference frames of videos. ...
Study of Smart Integrated Renewable Energy Systems (SIRES)
(2017-09)
Energy availability is a severe problem in majority of the remote rural areas of the world. Development of energy-resources-poor rural areas has been discussed by many in the past. Rural electrification was the first major ...
Fully automatic 3D object reconstruction from multi-view range scan data
(2017-12)
3D surface registration of two or more range scans is an important step in building a complete 3D model of an object. When the overlaps between multi-view scans are insufficient, it is highly compulsory to involve good ...
Low-power and high-performance SRAM design in high variability advanced CMOS technology
(2017-05)
As process technologies shrink, the size and number of memories on a chip are exponentially increasing. Embedded SRAMs are a critical component in modern digital systems, and they strongly impact the overall power, ...
Analysis and validation of the field coupled through an aperture in an avionics enclosure
(2017-05)
This work focused on accurately predicting the current response of an equipment under test (EUT) to a random electromagnetic field representing a threat source to model radio frequency directed energy weapons (RFDEWs). The ...