In the context of constructing an embedded system to help visually impaired people to interpret text,in this paper,an efficient High-level synthesis(HLS)Hardware/Software(HW/SW)design for text extraction using the Gam...In the context of constructing an embedded system to help visually impaired people to interpret text,in this paper,an efficient High-level synthesis(HLS)Hardware/Software(HW/SW)design for text extraction using the Gamma Correction Method(GCM)is proposed.Indeed,the GCM is a common method used to extract text from a complex color image and video.The purpose of this work is to study the complexity of the GCM method on Xilinx ZCU102 FPGA board and to propose a HW implementation as Intellectual Property(IP)block of the critical blocks in this method using HLS flow with taking account the quality of the text extraction.This IP is integrated and connected to the ARM Cortex-A53 as coprocessor in HW/SW codesign context.The experimental results show that theHLS HW/SW implementation of the GCM method on ZCU102 FPGA board allows a reduction in processing time by about 89%compared to the SW implementation.This result is given for the same potency and strength of SW implementation for the text extraction.展开更多
This study focused on the determination and analysis of an accurate analytical model for PIN diode under different bias conditions. This approach employs analytically derived expressions including the variation of the...This study focused on the determination and analysis of an accurate analytical model for PIN diode under different bias conditions. This approach employs analytically derived expressions including the variation of the depletion regions in the device to make the used model available over a wide range of testing conditions without remake the parameters extraction procedure. The validity of the proposed extraction procedure has been verified by the very good agreement between simulated and measured current and voltage waveforms reverse recovery at different range of the operation conditions. The model is developed and simulated with the VHDL-AMS language under Ansoft Simplorer®Environment.展开更多
文摘In the context of constructing an embedded system to help visually impaired people to interpret text,in this paper,an efficient High-level synthesis(HLS)Hardware/Software(HW/SW)design for text extraction using the Gamma Correction Method(GCM)is proposed.Indeed,the GCM is a common method used to extract text from a complex color image and video.The purpose of this work is to study the complexity of the GCM method on Xilinx ZCU102 FPGA board and to propose a HW implementation as Intellectual Property(IP)block of the critical blocks in this method using HLS flow with taking account the quality of the text extraction.This IP is integrated and connected to the ARM Cortex-A53 as coprocessor in HW/SW codesign context.The experimental results show that theHLS HW/SW implementation of the GCM method on ZCU102 FPGA board allows a reduction in processing time by about 89%compared to the SW implementation.This result is given for the same potency and strength of SW implementation for the text extraction.
文摘This study focused on the determination and analysis of an accurate analytical model for PIN diode under different bias conditions. This approach employs analytically derived expressions including the variation of the depletion regions in the device to make the used model available over a wide range of testing conditions without remake the parameters extraction procedure. The validity of the proposed extraction procedure has been verified by the very good agreement between simulated and measured current and voltage waveforms reverse recovery at different range of the operation conditions. The model is developed and simulated with the VHDL-AMS language under Ansoft Simplorer®Environment.
