Graduation Year
2004
Document Type
Thesis
Degree
M.S.Cp.E.
Degree Granting Department
Computer Engineering
Major Professor
Srinivas Katkoori, Ph.D.
Committee Member
Murali Varanasi, Ph.D.
Committee Member
Sanjukta Bhanja, Ph.D.
Keywords
Location-aware computing, Behavioral Synthesis, Leakage power, Translators, NAVIGATOR
Abstract
We present the high level (VHDL) modeling and high level synthesis of an ASIC (TOUR NAVIGATOR) for a portable hand held device - a tour guide. The tour guide is based on location-aware mobile computing, which gives the information of the current location to the user. The TOUR NAVIGATOR designed in this work is interfaced with off-the-shelf components to realise the tour guide system. The current location is given by an on-board GPS receiver chip. The TOUR NAVIGATOR is a search and play module which interfaces with the flash memory, GPS receiver and the audio codec.
The functionality of the TOUR NAVIGATOR is to search the flash memory for audio data corresponding to the current GPS co-ordinate, which is an input to the TOUR NAVIGATOR. The look-up table containing the GPS coordinates and the corresponding audio files are loaded into the flash memory, where in each GPS entry in the table is indexed by the co-ordinates, and an audio file that contains information about the locations is associated with it. When there is a match, the audio file is streamed to the codec. The functionality of the interface of the TOUR NAVIGATOR with the memory module is verified at the RTL using Cadence-NCLaunch. The layout implementation of the TOUR NAVIGATOR is done using an automatic place and route tool (Silicon Ensemble), which uses standard cells for the entire design. Leakage power reduction is done by introducing sleep transistors in the standard cells. The TOUR NAVIGATOR is put into a "sleep" mode when there is no operation of the tour guide, thus giving significant power savings.
Scholar Commons Citation
Kailasam, Umadevi, "High Level VHDL Modeling of a Low-Power ASIC for a Tour Guide" (2004). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/1103