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[104] N Sadagopan, B Krishnamachari and A Helmy, Active Query Forwarding in Sensor Networks (ACQUIRE), Elsevier Journal of Ad Hoc Networks, January 2005 [105] SM Sadjadi, PK McKinley and EP Kasten, Architecture and operation of an adaptable communication substrate, in Proceedings of the The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems (FTDCS 03), pp 46 56, May 2003 [106] SM Sadjadi, PK McKinley, REK Stirewalt and BHC Cheng, Trap: Transparent re ective aspect programming, Technical Report MSU-CSE-03-31, Department of Computer Science, Michigan State University, East Lansing, Michigan, November 2003 [107] S Sahni and X Xu, Algorithms for wireless sensor networks, International Journal on Distributed Sensor Networks, pp 35 56, 2004 [108] FA Samimi, PK McKinley, SM Sadjadi and P.



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Ge, Kernel-middleware interaction to support adaptation in pervasive computing environments, In Proceedings of the 2nd Workshop on Middleware for Pervasive and Ad Hoc Computing, pp 140 145 ACM Press, 2004 [109] Andreas Savvides, Heemin Park and Mani B Srivastava, The bits and ops of the n-hop multilateration primitive for node localization problems, in WSNA 02: Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pp 112 121, New York, NY, USA, 2002 ACM Press [110] Albrecht Schmidt, Antti Takaluoma and Jani M ntyj rvi, Context-Aware Telephony Over WAP, Personal Ubiquitous Comput, vol 4, no 4, pp 225 229, 2000 [111] Douglas C Schmidt, Middleware for real-time and embedded systems, Commun ACM, vol 45, no 6, pp 43 48, 2002 [112] RC Shah, S Roy, S Jain and W.

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Figure 10.54 CASSI sampling with a sparse periodic code. The data plane (a) is the same as in Fig. 10.50 and is again reconstructed using the TWIST algorithm, although in this case each measurement corresponds to a single (nonmultiplexed) voxel in the data cube. The full data cube might be reconstructed by interpolation within aliasing limits similar to those discussed in Section 7.3.

Brunette, Data MULEs: Modeling a Three-tier Architecture for Sparse Sensor Networks, in IEEE Workshop on Sensor Network Protocols and Applications (SNPA), May 2003 [113] A Sharaf, Jonathan Beaver, Alexandros Labrinidis and K Chrysanthis, Balancing energy ef ciency and quality of aggregate data in sensor networks, The International Journal on Very Large Data Bases (VLDB), vol 13, December 2004 [114] C Shen, C Srisathapornphat and C Jaikaeo, Sensor Information Networking Architecture and Applications, IEEE Personal Communications Magazine, pp 52 59, August 2001 [115] Nisheeth Shrivastava, Chiranjeeb Buragohain, Divyakant Agrawal and Subhash Suri, Aggregation: Medians and beyond: new aggregation techniques for sensor networks, in Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, November 2004 [116] Brian Cantwell Smith, Re ection and semantics in LISP, in POPL 84: Proceedings of the 11th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages, pp 23 35, New York, NY, USA, 1984 ACM Press.

Expert Systems (IEA/AIE-98), Castellon, Spain, Springer-Verlag, Berlin, vol 2, pp 507 516, 1998 E McKenna and B Smyth, An interactive visualization tool for case-based reasoners, Applied Intelligence: Special Issue on Interactive Case-Based Reasoning, pp 95 114, 2001 E McKenna and B Smyth, Competence-guided editing technique learning, in Proceedings of the Fourteenth European Workshop on Case-Based Reasoning (EWCBR-00), Trento, Italy, Springer-Verlag, Berlin, pp 186 197, 2000 E McKenna and B Smyth, Competence-guided editing methods for lazy learning, in Proceedings of the Fourteenth European Conference on Arti cial Intelligence (EWCBR-00), Trento, Italy, Springer-Verlag, Berlin, pp 553 564, 2000 C K Simon, S C K Shiu, C H Sun, X Z Wang, and D S Yeung, Maintaining casebased reasoning systems using fuzzy decision trees, in Proceedings of the Fifth European Workshop on Case-Based Reasoning (EWCBR-00), Trento, Italy, Springer-Verlag, Berlin, pp 285 296, 2000 S C K Shiu, C H Sun, X Z.

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