Abstract
The Smart Surface project aims at designing an integrated micro-manipulator based on an array of micromodules connected with a 2D array topology network. Each micromodule comprises a sensor, an actuator and a processing unit. One of the aims of the processing unit is to differentiate the shape of the part that is put on top of the Smart Surface. From a set of shapes this differentiation is done through a distributed algorithm that we call a criterion. The article presents Sensor Network Calibrator (SNC), a calibrator which allows to parametrize the Smart Surface and to determine the necessary number of sensors required by our Smart Surface. The tests will show that SNC is of great importance for choosing the number of sensors, and therefore to determine the size of the sensors grid.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Pister, K., Fearing, R., Howe, R.: A planar air levitated electrostatic actuator system. In: IEEE Workshop on Micro Electro Mechanical Systems, pp. 61–71 (1990)
Fujita, H.: Group work of microactuators. In: International Advanced Robot Program Workshop on Micromachine Technologies and Systems, Tokyo, Japan, pp. 24–31 (October 1993)
Luntz, J.E., Messner, W.: A distributed control system for flexible materials handling. IEEE Control Systems 17(1) (February 1997)
Luntz, J.E., Messner, W., Choset, H.: Parcel manipulation and dynamics with a distributed actuator array: The virtual vehicle. In: IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 1541–1546 (1997)
Liu, C., Tsao, T., Will, P., Tai, Y., Liu, W.: A micromachined permalloy magnetic actuator array for micro robotics assembly systems. In: The 8th International Conference on Solid-State Sensors and Actuators (1995)
Suh, J., Glander, S., Darling, R., Storment, C., Kovacs, G.: Combined organic thermal and electrostatic omnidirectional ciliary microactuator array for object positioning and inspection. In: Solid State Sensor and Actuator Workshop (1996)
Goldberg, K.Y.: Orienting polygonal parts without sensors. Algorithmica 10(2-4), 210–225 (1993)
Böhringer, K.F., Bhatt, V., Donald, B.R., Goldberg, K.Y.: Algorithms for sensorless manipulation using a vibrating surface. Algorithmica 26(3-4), 389–429 (2000)
Murilo, G.C., Peter, M.W.: A general theory for positioning and orienting 2d polygonal or curved parts using intelligent motion surfaces. In: ICRA, pp. 856–862 (1998)
Biegelsen, D., Berlin, A., Cheung, P., Fromherts, M., Goldberg, D., Jackson, W., Preas, B., Reich, J., Swartz, L.: Airjet paper mover. In: SPIE Int. Symposium on Micromachining and Microfabrication (2000)
Fukuta, Y., Chapuis, Y.A., Mita, Y., Fujita, H.: Design, fabrication and control of MEMS-based actuator arrays for air-flow distributed micromanipulation. IEEE Journal of Micro-Electro-Mechanical Systems 15(4), 912–926 (2006)
Boutoustous, K., Dedu, E., Bourgeois, J.: An exhaustive comparison framework for distributed shape differentiation in a MEMS sensor actuator array. In: International Symposium on Parallel and Distributed Computing (ISPDC), Krakow, Poland, July 2008, pp. 429–433. IEEE Computer Society Press, Los Alamitos (2008)
Loncaric, S.: A survey of shape analysis techniques. Pattern Recognition 31(8), 983–1001 (1998)
Zhang, D., Lu, G.: Content-based shape retrieval using different shape descriptors: A comparative study. In: ICME. IEEE Computer Society, Los Alamitos (2001)
Zhang, D., Lu, G.: Shape-based image retrieval using generic Fourier descriptor. SPIC 17(10), 825–848 (2002)
Zhang, D., Lu, G.: Study and evaluation of different Fourier methods for image retrieval. Image Vision Comput. 23(1), 33–49 (2005)
Diaz de Léon, R., Sucar, L.: Human silhouette recognition with Fourier descriptors. In: ICPR 2000, vol. III, pp. 709–712 (2000)
Derrode, S., Daoudi, M., Ghorbel, F.: Invariant content-based image retrieval using a complete set of Fourier-Mellin descriptors. In: ICMCS, vol. 2, pp. 877–881 (1999)
Lingrand, D.: Introduction au Traitement d’Images, 2nd edn. Vuibert, Paris (2008)
Bres, S., Jolion, J.M., Lebourgeois, F.: Traitement et analyse des images numériques. Hermès (2003)
Forssén, P.E., Moe, A.: Contour descriptors for view-based object recognition. Technical Report LiTH-ISY-R-2706, Dept. EE, Linköping University, SE-581 83 Linköping, Sweden (September 2005)
Sun, J., Wu, X.: Shape retrieval based on the relativity of chain codes. In: Sebe, N., Liu, Y., Zhuang, Y.-t., Huang, T.S. (eds.) MCAM 2007. LNCS, vol. 4577, pp. 76–84. Springer, Heidelberg (2007)
Sajjanhar, A., Lu, G.: A grid-based shape indexing and retrieval method. Australian Computer Journal 29(4), 131–140 (1997)
Shahabi, C., Safar, M.: An experimental study of alternative shape-based image retrieval techniques. Multimedia Tools Appl. 32(1), 29–48 (2007)
Prokop, R., Reeves, A.: A survey of moment-based techniques for unoccluded object representation and recognition. GMIP 54(5), 438–460 (1992)
Chen, C.: Improved moment invariants for shape discrimination. Pattern Recognition 26(5), 683–686 (1993)
Mercimek, M., Gulez, K., Velimumcu, T.: Real object recognition using moment invariants. Sadhana 30(6), 765–775 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Boutoustous, K., Dedu, E., Bourgeois, J. (2009). A Framework to Calibrate a MEMS Sensor Network. In: Zhang, D., Portmann, M., Tan, AH., Indulska, J. (eds) Ubiquitous Intelligence and Computing. UIC 2009. Lecture Notes in Computer Science, vol 5585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02830-4_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-02830-4_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02829-8
Online ISBN: 978-3-642-02830-4
eBook Packages: Computer ScienceComputer Science (R0)