Preliminaries Optimization of the Acid Catalyst Concentration for Synthesis of Anti‐Cancer Agent Gamavuton‐0 by Using Mathematical and Statistical Software

31 Table . Weight and power of each system. Figure 8. Overview of Current System. Figure 9. Overview of Proposed System.

6. Conclusion

Comparisons of current system used ML and proposed system used KC is presented. SAR is an important technology in the field of global environment observation. Raw data received by SAR need to be executed image processing. Devices on UAV must be small since resources space, power are limited. KC which has more resources than ML is expected to reduce power consumption, space, time of development and modification. The proposed system is applicable to SAR image processing system on an UAV making semi‐real‐time observation. References [ ] an G. Cumming and Frank ay‐Chee Wong . Digital Processing Of Synthetic Aperture Radar Data, Artech ouse. [ ] Lin Shuisheng, Wu Jinghong and uang Shunji . Real‐time digital signal processing system of airborne SAR with ultra‐high speed DSP, Signal Processing, rd nternational Conference on vol. , pp. ‐ . [ ] Xin Xiao, Rui Zhang, Xiaobo Yang and Gang Zhang . Realization of SAR real‐time processor by FPGA, Geoscience and Remote Sensing Symposium, GARSS . Proceedings. EEE nternational, vol. , pp. ‐ . [ ] Wai‐Chi Fang, Charles Le and Stephanie Taft . On‐Board Fault‐Tolerant SAR Processor for Spaceborne maging Radar Systems, Circuits and Systems. SCAS . vol. , pp. – . Slices Max RAM kb 8kb kb Max kb ML XC VLX T , , 8 , 8 8 , KC XC K T , 8 , , 8 8 , Block RAM Blocks Configurable Logis Blocks Device DSP Slices Logic Cells weight kg Current System 4.6 Proposed System 1.1 32 [ ] Masaru Bunya, Kazuteru Namba and Josaphat Tetuko Sri Sumantyo . CP‐SAR processing system on FPGA for multiple image size, The 8th Symposium on Environmental Remote Sensing. [ ] Yutana Jewajinda , A Performance evaluation of a Probabilistic Parallel Genetic Algorithm: FPGA vs. Multi‐core Processor, nternational Computer Science and Engineering Conference CSEC , pp. 8‐ . [ ] Brian Van Essen, Chris Macaraeg, Maya Gokhale and Ryan Prenger . Accelerating a random forest classifier: multi‐core，GP‐GPU，or FPGA?, EEE th nternational Symposium on Field‐Programmable Custom Computing Machines, pp. ‐ . [8] eein Yang, Jin‐ong An, ae‐Won Jung and Jae‐yun Kim . Circular Polarization mplementation on Synthetic Aperture Radar, nternational Conference on nformation and Communication Technology Convergence CTC , pp. ‐ . [ ] Xilinx , Virtex‐ Family Overview, https:www.xilinx.comsupportdocumentationdata_sheetsds .pdf [ ] Xilinx , Series FPGAs Overview, https:www.xilinx.comsupportdocumentationdata_sheetsds 8 _ Series_Overview.p df