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Full-Text Articles in Computer Engineering
Cmos Radioactive Isotope Identification With Multichannel Analyzer And Embedded Neural Network, Samuel Murray
Cmos Radioactive Isotope Identification With Multichannel Analyzer And Embedded Neural Network, Samuel Murray
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
A radiation detection and identification system is designed and implemented to perform gamma ray spectroscopy on radioactive sources and identify which isotopes are present in the sources. A multichannel analyzer is implemented on an ASIC to process the signal produced from gamma rays detected by a scintillator and photomultiplier tube and to quantize the gamma ray energies to build a histogram. A fast, low memory embedded neural network is implemented on a microcontroller ASIC to identify the isotopes present in the gamma ray histogram produced by the multichannel analyzer in real time.
Advisors: Sina Balkir and Michael Hoffman
Using System-On-A-Programmable-Chip Technology To Design Embedded Systems, Tyson S. Hall, James O. Hamblen
Using System-On-A-Programmable-Chip Technology To Design Embedded Systems, Tyson S. Hall, James O. Hamblen
Faculty Works
This paper describes the tools, techniques, and devices used to design embedded products with system–on-a-chip (SoC) type solutions using a large Field Programmable Gate Array (FPGA) with an internal processor core. This new FPGA-based approach is called system-on-a-programmable-chip (SoPC ). The performance tradeoffs present in SoPC systems is compared to more traditional design approaches. Commercial devices, processor cores, and CAD tool flows are described.
The issues in SoPC hardware/software design tradeoffs are examined and three example SoPC designs are presented as case studies.