By Twan Basten, Marc Geilen, Harmke de Groot
Hugo de guy Professor Katholieke Universiteit Leuven Senior learn Fellow IMEC The regular evolution of undefined, software program and communications know-how is speedily remodeling the computer- and dot.com global into the realm of Ambient Intelligence (AmI). This subsequent wave of data know-how is fundam- tally varied in that it makes disbursed stressed and instant computing and communique disappear to the historical past and places clients to the foreground. AmI adapts to humans rather than the wrong way round. it's going to increase our awareness, computer screen our health and wellbeing and safeguard, advisor us via site visitors and so on. briefly, its final aim is to enhance the standard of our existence through a quiet, trustworthy and safe interplay with our social and fabric setting. What makes AmI engineering so interesting is that its layout starts off from learning individual to international interactions that must be carried out as an int- ligent and self reliant interaction of almost all useful networked digital intelligence at the globe. this can be a new and fascinating measurement for many decide on- cal and software program engineers and should allure extra inventive expertise to engineering than natural know-how does. improvement of the best know-how for AmI will in basic terms be triumphant if the engineering study neighborhood is ready to hitch forces with the intention to make Mark Weiser’s dream of 1991 come actual. this may no longer be enterprise as ordinary by means of simply doubling transistor count number or clock velocity in a microprocessor or expanding the bandwidth of verbal exchange.
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Additional resources for Ambient Intelligence Impact on Embedded System Design
An MPEG2 decoding) are even more challenging requirements. Energy efficiency and cost constraints are much tighter than for highperformance servers‚ and the computational requirements can be matched only by resorting to heterogeneous architectures (in contrast with homogeneous general-purpose processors)‚ which provide computational power tai- 42 AMBIENT INTELLIGENCE: IMPACT ON EMBEDDED SYSTEM DESIGN lored to a specific class of applications [17‚ 37]. Designing such heterogeneous‚ application-specific multi-processor system-on-chip (MPSoC) is a challenging task because their complexity is comparable to that of most aggressive general-purpose platforms‚ yet their time-to-market and profitability windows are much shorter and focused.
Scientific American‚ 281(2):52–55‚ 1999.  K. Ducatel‚ M. Bogdanowicz‚ F. Scapolo‚ J. Leijten‚ and J-C. Burgelman. Scenarios for ambient intelligence in 2010. IST Advisory Group final report‚ 2002.  K. Goossens‚ J. Dielissen‚ J. van Meerbergen‚ P. Poplavko‚ A. Radulescu‚ E. Rijpkema‚ E. Waterlander‚ and P. Wielage. ” In A. Jantsch and H. Tenhunen‚ editors‚ Networks on Chip‚ pages 61–82. Kluwer Academic Publishers‚ 2003.  R. Harwig and E. Aarts. ” Proceeding of the 2002 International Interconnect Technology Conference‚ pages 3–5‚ 2002.
The IC design challenges in this milliWatt node are: The flexibility/power trade-off: accurate power estimation of digital circuit and architecture implementations are needed to make optimal design choices. Integration of multi-mode/standards communication interfaces require low power mixed-signal and RF design tools. On system level a trade-off has to be made between the increased amount of compression of the A/V/data stream with related power dissipation and the reduced data rate of the communication link.