Title :
Domain distributed intelligent processing for information fuselets
Author :
Ewing, R.L. ; Abdel-Aty-Zohdy, H.S.
Author_Institution :
US Air Force Res. Lab., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
Abstract :
The best solution for one intelligent information fusion design is obviously domain specific and not universal. This is especially true in multidisciplinary design domains of information systems at higher clock speeds where the need arises to distribute the intelligent processing requirements between the digital circuit elements and their real world interconnects in the mixed-signal sensor domain. In this paper we propose the distribution of intelligent processing, or fuselets by three levels of information fusion. These are; perception, fuselets, processing algorithms and neural nets. The proposed robust design methodology for multidisciplinary levels, involves the blending of the s-domain (continuous) and z-domain (digital), resulting in the wp-domain (mixed-signal) models. The advantage of using the wp-domain bilinear transformation for mixed-signal design is the ability to handle the discrete portion of the design like a continuous system, thus unifying the design process for domain distributed intelligent processing systems
Keywords :
distributed sensors; integrated circuit design; intelligent sensors; mixed analogue-digital integrated circuits; neural chips; bilinear transformation; clock speeds; domain distributed intelligent processing; information fuselets; mixed-signal design; mixed-signal sensor domain; neural nets; perception; processing algorithms; robust design methodology; s-domain; wp-domain; z-domain; Clocks; Continuous time systems; Design methodology; Digital circuits; Information systems; Integrated circuit interconnections; Intelligent sensors; Neural networks; Robustness; Sensor systems;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921392