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The wavelength routed optical network (WRON) [1] is a promising optical interconnection architecture that can be integrated into a System-on-Chip (SoC) to replace traditional wire-connected on-chip micro-networks which pose severe bandwidth limitations on future super large SoC chips. In this paper, we present the architecture of WRON and generalize the(More)
Available online xxxx Keywords: Network-on-chip (NoC) Optical switch Wavelength routed optical network (WRON) Recursive wavelength routed optical network (RCWRON) a b s t r a c t As indicated in the latest version of ITRS roadmap, optical wiring is a viable interconnect technology for future SoC/SiC/SiP designs that can provide broad band data transfer(More)
Horizon line detection is a demanding problem in various tasks associated with planet exploration, because no standard approaches such as global positioning system is available. Horizon line is a boundary line defined between a sky and non-sky region in 2D images, and it is an important visual clue that can be utilized for calculating the rover's(More)
Planetary rover localization is a challenging problem since no conventional methods such as GPS, structural landmarks etc. are available. Horizon line is a promising visual cue which can be exploited for estimating the rover's position and orientation during planetary missions. By matching the horizon line detected in 2D images captured by the rover with(More)
Techniques are presented to directly process JBIG-encoded document images. Two experimental processing pipelines are designed to evaluate the performance of the methods from the application perspective. They are document segmentation for obtaining the global layout and the form processing system for form type identification and the form dropout. The JBIG(More)
Sky segmentation is an important task for many applications related to obstacle detection and path planning for autonomous air and ground vehicles. In this paper, we present a method for the automated sky segmentation by fusing K-means clustering and Neural Network (NN) classifications. The performance of the method has been tested on images taken by two(More)