Christopher Doss
North Carolina Agricultural and Technical State University
24 Papers
55 Citations
Christopher Doss is an academic researcher from North Carolina Agricultural and Technical State University. The author has contributed to research in topics: Field-programmable gate array & Reconfigurable computing. The author has an hindex of 4, co-authored 21 publications. Previous affiliations of Christopher Doss include North Carolina State University.
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Papers
FPGA-based implementation of a robust IEEE-754 exponential unit
Christopher Doss,R. L. Riley +1 more
- 20 Apr 2004
TL;DR: This work explores the feasibility of implementing a floating-point exponentiation unit on reconfigurable computing systems using synthesizable VHDL and indicates that today's FPGAs are well suited for this operation.
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Digital Controller for a Boost PFC Converter in Continuous Conduction Mode
A. Olayiwola,B. Sock,Mohammad Reza Zolghadri,Abdollah Homaifar,M. Walters,Christopher Doss +5 more
- 24 May 2006
TL;DR: In this article, a digital R-S-T-based digital controller for a power factor correction circuit (PFC) is proposed based on the desired time domain specification of the current and voltage loops presented as a discretized second order s domain transfer function for voltage and current loops.
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Navigating a Pandemic: A Qualitative Study of Knowledge, Sources of Information, and COVID-19-Related Precautions Taken by HBCU Students
Jeannette M. Wade,Stephanie Teixeira Poit,Anna K. Lee,Sally Ryman,Dextiny McCain,Christopher Doss,S. Shrestha,Adrienne T. Aiken Morgan +7 more
TL;DR: For example, this article found that many college-aged students receive their COVID-19-related information through social media and television even though research suggests that social media sources are more likely to be incorrect.
An FPGA-based Application-Specific Processor for Implementing the Exponential Function
Shrikant S. Jadhav,Clay Gloster,Jannatun Naher,Christopher Doss,Youngsoo Richard Kim +4 more
- 28 Mar 2020
TL;DR: The experimental results show that executing a hardware implementation of the exponential function on a Field Programmable Gate Array (FPGA) is significantly faster than executing a software implementation on a multi-core processor.
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