Review

1. Dual scale structural health monitoring system combining FBG sensors and laser scanning
Lima, Hugo F. (I3N-Aveiro, Physics Department, University of Aveiro, 381-193 Aveiro, Portugal); Domingues, M. Fátima; Nogueira, Rogério N.; André, Paulo; Pinto, João L. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7391, 2009, O3A: Optics for Arts, Architecture, and Archaeology II
2. Feature extraction and selection from vibration measurements for structural health monitoring
Toivola, Janne (Department of Information and Computer Science, Helsinki University of Technology, P.O. Box 5400, Espoo, TKK FI-02015, Finland); Hollmén, Jaakko Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5772 LCNS, p 213-224, 2009, Advances in Intelligent Data Analysis VIII - 8th International Symposium on Intelligent Data Analysis, IDA 2009, Proceedings
3. WSNs for structural health monitoring of historical buildings
Anastasi, Giuseppe (Dept. of Information Engineering, University of Pisa, Via Diotisalvi, 2, 56122 Pisa, Italy); Lo Re, Giuseppe; Ortolani, Marco Source: Proceedings - 2009 2nd Conference on Human System Interactions, HSI '09, p 574-579, 2009, Proceedings - 2009 2nd Conference on Human System Interactions, HSI '09
4. Feature extraction and sensor fusion for ultrasonic structural health monitoring under changing environmental conditions
Yinghui Lu (Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA); Michaels, J.E. Source: IEEE Sensors Journal, v 9, n 11, p 1462-71, Nov. 2009
5. Optimal planning of structural performance monitoring based on reliability importance assessment
Kim, Sunyong (Department of Civil and Environmental Engineering, ATLSS Center, Lehigh University, 117 ATLSS Dr, Bethlehem, PA 18015-4729, United States); Frangopol, Dan M. Source: Probabilistic Engineering Mechanics, v 25, n 1, p 86-98, January 2010
6. Vertical displacement measurements for bridges using optical fiber sensors and CCD cameras a preliminary study
Chan, T.H.T. (Sch. of Urban Dev., Queensland Univ. of Technol., Brisbane, QLD, Australia); Ashebo, D.B.; Tarn, H.Y.; Yu, Y.; Chan, T.F.; Lee, P.C.; Gracia, E.P. Source: Structural Health Monitoring, v 8, n 3, p 243-9, May 2009
7. On selection of data fusion schemes for structural damage evaluation
Zhongqing Su (Dept. of Mech. Eng., Hong Kong Polytech. Univ., Kowloon, China); Xiaoming Wang; Li Cheng; Long Yu; Zhiping Chen Source: Structural Health Monitoring, v 8, n 3, p 223-41, May 2009
8. Embedded algorithms within an FPGA to classify nonlinear single-degree-of-freedom systems
Jones, J.D. (Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA); Jin-Song Pei Source: IEEE Sensors Journal, v 9, n 11, p 1486-93, Nov. 2009
9. Implementation of a long-term bridge weigh-in-motion system for a steel girder bridge in the interstate highway system
Cardini, A.J. (AECOM Transportation, Boston, MA 02110, United States); Dewolf, John T. Source: Journal of Bridge Engineering, v 14, n 6, p 418-423, 2009
10. Mobile health monitoring for the elderly: Designing for diversity
Lorenz, Andreas (Fraunhofer FIT, Schloss Birlinghoven, D-53754 St. Augustin, Germany); Oppermann, Reinhard Source: Pervasive and Mobile Computing, v 5, n 5, p 478-495, October 2009
11. Self-diagnosis of smart structures based on dynamical properties
Fritzen, C.-P. (Dept. of Mech. Eng., Univ. of Siegen, Siegen, Germany); Kraemer, P. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1830-45, Aug. 2009
12. Damage identification by multi-model updating in the modal and in the time domain
Link, M. (Inst. of Statics & Struct. Dynamics, Univ. of Kassel, Kassel, Germany); Weiland, M. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1734-46, Aug. 2009
13. Fatigue reliability assessment of retrofitted steel bridges integrating monitored data
Liu, Ming (Department of Civil and Environmental Engineering, Advanced Technology for Large Structural Systems (ATLSS) Center, Lehigh University, Bethlehem, PA 18015-4729, United States); Frangopol, Dan M.; Kwon, Kihyon Source: Structural Safety, v 32, n 1, p 77-89, January 2010
14. Harsh environment silicon carbide sensors for health and performance monitoring of aerospace systems: a review
Senesky, D.G. (Univ. of California, Berkeley, CA, USA); Jamshidi, B.; Kan Bun Cheng; Pisano, A.P. Source: IEEE Sensors Journal, v 9, n 11, p 1472-8, Nov. 2009
15. A method for the localization of damage in a CFRP plate using damping
Montalvao, D. (Dept. of Mech. Eng., Escola Super. de Tecnol. de Setubal, Setubal, Portugal); Ribeiro, A.M.R.; Duarte-Silva, J. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1846-54, Aug. 2009
16. Wireless sensor networks for strain monitoring during steel bridges launching
Chacon, R. (Constr. Eng. Dept., Univ. Politec. de Catalunya UPC, Barcelona, Spain); Guzman, F.; Mirambell, E.; Real, E.; Onate, E. Source: Structural Health Monitoring, v 8, n 3, p 195-205, May 2009
17. Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model
Kijsanayotin, B. (Bur. of Policy & Strategy, Minist. of Public Health, Nonthaburi, Thailand); Pannarunothai, S.; Speedie, S.M. Source: International Journal of Medical Informatics, v 78, n 6, p 404-16, June 2009
18. Er3+-activated photonic structures fabricated by sol-gel and rf-sputtering techniques
Ferrari, M. (CNR-IFN, CSMFO Lab., via alla Cascata 56/C, Povo, 38123 Trento, Italy); Alombert-Goget, G.; Armellini, C.; Berneschi, S.; Bhaktha, S.N.B.; Boulard, B.; Brenci, M.; Chiappini, A.; Chiasera, A.; Duverger-Arfuso, C.; Féron, P.; Gonçalves, R.R.; Jestin, Y.; Minati, L.; Moser, E.; Nunzi Conti, G.; Pelli, S.; Rao, D.N.; Retoux, R.; Righini, G.C.; Speranza, G. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7366, 2009, Photonic Materials, Devices, and Applications III
19. Antenna/sensor multifunctional composites for the wireless detection of damage
Matsuzaki, Ryosuke (Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, Tokyo, 152-8552, Japan); Melnykowycz, Mark; Todoroki, Akira Source: Composites Science and Technology, v 69, n 15-16, p 2507-2513, December 2009
20. Localized damage detection of structures subject to multiple ambient excitations using two distance measures for autoregressive models
Haitao Zheng (Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan); Mita, A. Source: Structural Health Monitoring, v 8, n 3, p 207-22, May 2009
21. Mobile agent technology for distributed sensing and actuation systems
Chen, Bo (Department of Mechanical Engineering - Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, United States) Source: 2008 Proceedings of the ASME Dynamic Systems and Control Conference, DSCC 2008, n PART B, p 1479-1485, 2009, 2008 Proceedings of the ASME Dynamic Systems and Control Conference, DSCC 2008
22. Providing real-time indoor air analytical results at a medical facility prior and subsequent to a chlorine dioxide fumigation using a Trace Atmospheric Gas Analyzer (TAGA) mounted on a moveable platform
Mickunas, David B. (US Environmental Protection Agency/Environmental Response Team, Mail Code E343-04, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States); Blaze, Stephen L.; Wood, J.; Thompson, S.; Weeks, W. Source: Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008, p 535-539, 2008, Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008
23. Cache-aware optimization of BAN applications
Ju, Lei (Department of Computer Science, National University of Singapore, Singapore, Singapore); Liang, Yun; Chakraborty, Samarjit; Mitra, Tulika; Roychoudhury, Abhik Source: Design Automation for Embedded Systems, v 13, n 3, p 159-178, September 2009
24. Effects of pH on the rieske protein from thermus thermophilus: A spectroscopic and structural analysis
Konkle, Mary E. (Department of Chemistry, Trinity University, One Trinity Place, San Antonio, TX 78212, United States); Muellner, Sarah K.; Schwander, Anika L.; Dicus, Michelle M.; Pokhrel, Ravi; Britt, R. David; Taylor, Alexander B.; Hunsicker-Wang, Laura M. Source: Biochemistry, v 48, n 41, p 9848-9857, October 20, 2009
25. Using field analytics to resolve vapor intrusion issues
Mickunas, David B. (US Environmental Protection Agency, Environmental Response Team, Mail Code E343-04, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States); Blaze, Stephen L.; Wood, J.; Thompson, S.; McCall, D.; Shields, C.; Weeks, W.; Magan, R. Source: Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008, p 103-107, 2008, Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008