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This paper proposes an approach for specifying, verifying and implementing composite services according to the Model-Driven Architecture principles.
The face detection chip is developed by verifying and implementing it using a FPGA and an application-specific integrated circuit (ASIC).
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The proposed detector has successfully been verified and implemented in a complete H.264/AVC decoding system.
Then, it has been synthesised, functionally verified and implemented using Xilinx Integrated Software Environment (ISE) and Spartan-3E FPGA.
The upper bound of the allowable time delays and the neutral terms contraction coefficient is easy to verify and implement.
Both FLC and conventional PI controller hardware are synthesized, functionally verified and implemented using Xilinx Integrated Software Environment (ISE) Version 11.1i.
The developed model was verified and implemented for management of the check-in system at the Wrocław Airport.
To verify and implement the chip, we used a Virtex5 LX330 FPGA board and a 0.18 μm 1-poly and 6-metal CMOS logic process.
The proposed method over the binary finite fields F2163 and F2233 has been successfully verified and implemented on Virtex-4 XC4VLX100 and Virtex-5 XC5VLX110 FPGAs.
One example is illustrated to show how all k-out-of-n MCs are generated, verified, and implemented to evaluate the k-out-of-n network reliability using the proposed algorithm.
The data acquisition modules of the system can be connected through the computer I/O with actual devices to verify and implement simulation results to enhance the corresponding pneumatics learning.
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