BIOINSPIRED SENSORY INTEGRATION FOR ENVIRONMENT PERCEPTION EMBEDDED SYSTEMS
Jordi Madrenas, Daniel Fernández, Jordi Cosp, J. Manuel Moreno, Luis Martínez-Alvarado, Giovanny Sánchez
2011
Abstract
In this work, the architecture of a system intended for bioinspired environment perception is described. Considering the technology trends and applications requirements, the properties of such a system are discussed. The system consists of four main blocks: a) A set of different integrated microsensors and microactuators with the associated signal conditioning circuits; b) A data encoding block that in its simplest form performs spike encoding of information; c) a bioinspired digital processing block that efficiently emulates a spiking neuron network; d) a monitoring and self-adaptation block that provides feedback to the sensors and actuators. In its final implementation, the full system would eventually be almost fully integrated in a CMOS integrated circuit.
References
- Akyildiz I. F. et al., 2002, Wireless sensor networks: a survey, Computer Networks, Vol. 38, Issue 4, 15 March 2002, pp. 393-422.
- Baltes H. et al., 2002. CMOS MEMS-present and future. Micro Electro Mechanical Systems, 2002. The Fifteenth IEEE International Conference on. IEEE; 2002:459-466.
- Brand O. and Fedder G. K. eds CMOS-MEMS, Advanced Micro & Nanosystems (Vol. 2). Weinheim: WileyVCH; 2005:596.
- Bentley, P. J. 2007. Systemic computation: A model of interacting systems with natural characteristics. Int. J. Parallel Emerg. Distrib. Syst. 22, 2 (Mar. 2007), 103- 121.
- Delbruck T., Oberhoff D. Self-biasing low power adaptive photoreceptor. 2004 IEEE International Symposium on Circuits and Systems. 2004:IV-844-7.
- Dobson, S. et al., 2010. Fulfilling the Vision of Autonomic Computing. Computer, vol.43, no.1, pp.35-41, Jan. 2010.
- Fernández D. et al., 2010. Experiments on the Release of CMOS-Micromachined Metal Layers. Journal of Sensors, vol. 2010, Article ID 937301, 7 pages, 2010.
- Gad-el-Hak M., 2001. The MEMS Handbook, (Editor) CRC; 1st edition, September 27, 2001.
- Gouveia, L. C. et al., 2009. A CMOS implementation of a spike event coding scheme for analog arrays. Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on, pp.149-152, 24-27 May 2009.
- Gudemann, M. et al. 2008. A Specification and Construction Paradigm for Organic Computing Systems. Self-Adaptive and Self-Organizing Systems, 2008. SASO 7808. Second IEEE International Conference on, pp.233-242, 20-24 Oct. 2008.
- Guo J., Sonkusale, S., 2009. A High Dynamic Range CMOS Image Sensor for Scientific Imaging Applications. Sensors Journal, IEEE. Vol. 9, Iss. 10, 2009, pp. 1209 - 1218.
- Hauptvogel M. et al., 2009. SpiNDeK: An Integrated Design Tool for the Multiprocessor Emulation of Complex Bioinspired Spiking Neural Networks. IEEE Congress on Evolutionary Computation (CEC 2009). 18-21 May, 2009, pp.142-149.
- Hawkins J., Blakeslee S., 2004. On intelligence. Times books, Henry Holt and Company, 2004.
- Hill, J. et al., 2000. System architecture directions for networked sensors. SIGPLAN Not. 35, 11 (Nov. 2000), pp. 93-104.
- Hollar S. E. A., 1996. COTS Dust, B.S. Mass.Inst. of Tech., http://siliconrobot.com/publications/cotsdust. pdf.
- Iglesias J. et al. 2005. Dynamics of pruning in simulated large-scale spiking neural networks, Biosystems, Volume 79, Issues 1-3, Pages 11-20.
- Izhikevich E. M., 2006. Polychronization: Computation with Spikes. Neural Computation, Vol. 18, No. 2. (1 February 2006), pp. 245-282.
- Kephart, J. O.; Chess, D. M., 2003. The vision of autonomic computing. Computer, vol.36, no.1, pp. 41- 50, Jan 2003.
- Lemkin M, Boser B. E. A three-axis micromachined accelerometer with a CMOS position-sense interface and digital offset-trim electronics. IEEE Journal of Solid-State Circuits. 1999;34(4):456-468.
- Lorincz K. and Welsh M., 2006. MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking, Personal and Ubiquitous Computing, Special Issue on Location and Context-Awareness, Springer-Verlag, October 2006.
- Madrenas J., Moreno J. M., 2009. Strategies in SIMD Computing for Complex Neural Bioinspired Applications. NASA/ESA Conference on Adaptive Hardware and Systems, AHS, pp. 376-381, 2009.
- Matranga G, et al., 2002. CMOS temperature sensor. US Patent 6, 489, 831. 2002.
- Michalik P, et al., 2010. Technology-portable mixedsignal sensing architecture for CMOS-integrated zaxis surface-micromachined accelerometers. Mixed Design of Integrated Circuits and Systems (MIXDES), 2010 Proceedings of the 17th International Conference. 2010:431-435.
- Moreno J. M. et al., 2009. Synchronous Digital Implementation of the AER Communication Scheme for Emulating Large-Scale Spiking Neural Networks Models. Adaptive Hardware and Systems, 2009. NASA/ESA Conference on, pp.189-196, July 29 2009- Aug. 1 2009.
- Nachman, L. et al., 2005. The Intel® mote platform: a Bluetooth-based sensor network for industrial monitoring. Information Processing in Sensor Networks, 2005. IPSN 2005. Fourth International Symposium on, vol., no., pp. 437- 442, 15 April 2005.
- Park S, Min C, Cho S, 2009. A 95nW ring oscillator-based temperature sensor for RFID tags in 0.13µm CMOS. Circuits and Systems, 2009. ISCAS. 2009.
- Prakash S. B., Cohen M. H., Abshire P. A. Detection of on-chip temperature gradient using a 1.5V low power CMOS temperature sensor. 2006 IEEE International Symposium on Circuits and Systems. 2006:1171-1174.
- Randjelovic, Z. B. et al., 2002. Highly sensitive Hall magnetic sensor microsystem in CMOS technology. Solid-State Circuits, IEEE Journal of, vol.37, no.2, pp.151-159, Feb 2002.
- Ren Y, Wang C, Hong H., 2009. An All CMOS temperature sensor for thermal monitoring of VLSI circuits. ICTD 2009. IEEE Circuits. 2009.
- Senturia S. D., 2001, Microsystem Design, Kluwer Academic Publishers; Jan. 2001.
- Sivilotti M., 1991. Wiring Considerations in Analog VLSI Systems With Applications to Field Programmable Networks, Ph.D. dissertation, California Institute of Technology, Pasadena, 1991.
- Soto, V. J.; et al., 2009. Implementation of a Dynamic Fault-Tolerance Scaling Technique on a Self-Adaptive Hardware Architecture, Reconfigurable Computing and FPGAs, 2009. ReConFig 7809. International Conference on, pp.445-450, 9-11 Dec. 2009.
- Takeuchi, T. et al., 2009. A single-chip sensor node LSI with synchronous MAC protocol and divided databuffer SRAM. International SoC Design Conference (ISOCC), pp.202-207, 22-24 Nov. 2009.
- Udrea, F. et al., 2008. CMOS temperature sensors - concepts, state-of-the-art and prospects. Semiconductor Conference, 2008. CAS 2008. International , vol.1,, pp.31-40, 13-15 Oct. 2008.
- Upegui A. et al., 2007. The Perplexus bio-inspired reconfigurable circuit. Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), pp. 600-605, IEEE 2007.
- Wang C., 2010. Wide-Dynamic-Range and HighSensitivity Current-to-Voltage Converters. Circuits, Systems and Signal Processing. 2010; 29(6):1223- 1236.
- Warneke, B. et al., 2001. Smart Dust: communicating with a cubic-millimeter computer, Computer, vol.34, no.1, pp.44-51, Jan 2001.
- Wong, A. C. W. et al., 2008, A 1 V Wireless Transceiver for an Ultra-Low-Power SoC for Biotelemetry Applications. Solid-State Circuits, IEEE Journal of, vol.43, no.7, pp.1511-1521, July 2008.
- Woo K, Meninger S, Xanthopoulos T, E. Dual-DLL-based CMOS all-digital temperature sensor for microprocessor thermal monitoring. Solid-State Circuits, ISSCC, Vol 40; 2009:68-70
- Wu J, Fedder G, Carley L. A low-noise low-offset capacitive sensing amplifier for a 50-µg/v Hz monolithic CMOS MEMS accelerometer. Solid-State Circuits, IEEE. 2004; 39 (5):722-730.
- Zhou M.X. et al., 2004. A fully CMOS compatible integrated absolute pressure sensor. Solid-State and Integrated Circuits Technology, 2004. Proceedings. 7th International Conference on, vol.3, pp. 1816- 1819, 18-21 Oct. 2004.
Paper Citation
in Harvard Style
Madrenas J., Fernández D., Cosp J., Moreno J., Martínez-Alvarado L. and Sánchez G. (2011). BIOINSPIRED SENSORY INTEGRATION FOR ENVIRONMENT PERCEPTION EMBEDDED SYSTEMS . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011) ISBN 978-989-8425-37-9, pages 260-267. DOI: 10.5220/0003190202600267
in Bibtex Style
@conference{biodevices11,
author={Jordi Madrenas and Daniel Fernández and Jordi Cosp and J. Manuel Moreno and Luis Martínez-Alvarado and Giovanny Sánchez},
title={BIOINSPIRED SENSORY INTEGRATION FOR ENVIRONMENT PERCEPTION EMBEDDED SYSTEMS},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011)},
year={2011},
pages={260-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003190202600267},
isbn={978-989-8425-37-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2011)
TI - BIOINSPIRED SENSORY INTEGRATION FOR ENVIRONMENT PERCEPTION EMBEDDED SYSTEMS
SN - 978-989-8425-37-9
AU - Madrenas J.
AU - Fernández D.
AU - Cosp J.
AU - Moreno J.
AU - Martínez-Alvarado L.
AU - Sánchez G.
PY - 2011
SP - 260
EP - 267
DO - 10.5220/0003190202600267