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Volumn 3, Issue 1, 2010, Pages 255-276

Adaptive microsensor systems

Author keywords

active sensing; adaptive filtering; integrated analytical systems; integrated sensing and processing; tunable sensors

Indexed keywords

ACTIVE SENSING; ADAPTIVE CLASSIFIERS; ADAPTIVE SENSING; ANALYTICAL SYSTEMS; CHEMOSENSOR; DISTRIBUTED SENSOR SYSTEM; ENVIRONMENTAL CHANGE; EXPOSURE TIME; INSTRUMENTATION LEVEL; INTEGRATED SENSING AND PROCESSING; MICRO-ANALYSIS SYSTEMS; MICROSENSOR SYSTEM; OPERATING PARAMETERS; OPERATION VOLTAGE; PATTERN CLASSIFIER; REAL TIME; SENSING TECHNIQUES; STATISTICAL PROPERTIES; TRAINING DATA; TUNABILITIES; TUNABLE SENSORS;

EID: 78049408011     PISSN: 19361327     EISSN: 19361335     Source Type: Book Series    
DOI: 10.1146/annurev.anchem.111808.073620     Document Type: Article
Times cited : (32)

References (150)
  • 4
    • 34347262390 scopus 로고    scopus 로고
    • A 141-dB dynamic range CMOS gas-sensor interface circuit without calibration with 16-bit digital output word
    • DOI 10.1109/JSSC.2007.899087
    • Grassi M, Malcovati P, Baschirotto A. 2007. A 141-dB dynamic rangeCMOSgas-sensor interface circuit without calibration with 16-bit digital output word. IEEE J. Solid-State Circuits 42:1543-54 (Pubitemid 47000219)
    • (2007) IEEE Journal of Solid-State Circuits , vol.42 , Issue.7 , pp. 1543-1553
    • Grassi, M.1    Malcovati, P.2    Baschirotto, A.3
  • 6
    • 0035281781 scopus 로고    scopus 로고
    • Centennial retrospective on chemical sensors
    • Janata J. 2001. Centennial retrospective on chemical sensors. Anal. Chem. 73:A150-53 (Pubitemid 32204896)
    • (2001) Analytical Chemistry , vol.73 , Issue.5
    • Janata, J.1
  • 12
    • 0032156542 scopus 로고    scopus 로고
    • Chemical imaging: I. Concepts and visions for electronic and bioelectronic noses
    • PII S0925400598002676
    • GöpelW. 1998. Chemical imaging. I. Concepts and visions for electronic and bioelectronic noses. Sens. Actuators B 52:125-42 (Pubitemid 128457015)
    • (1998) Sensors and Actuators, B: Chemical , vol.52 , Issue.1-3 , pp. 125-142
    • Gopel, W.1
  • 13
    • 0032157251 scopus 로고    scopus 로고
    • Chemical imaging: II. Trends in practical multiparameter sensor systems
    • PII S0925400598002688
    • Weimar U, GöpelW. 1998. Chemical imaging. II. Trends in practical multiparameter sensor systems. Sens. Actuators B 52:143-61 (Pubitemid 128457016)
    • (1998) Sensors and Actuators, B: Chemical , vol.52 , Issue.1-3 , pp. 143-161
    • Weimar, U.1    Gopel, W.2
  • 14
    • 40449089446 scopus 로고    scopus 로고
    • Higher-order chemical sensing
    • DOI 10.1021/cr068116m
    • Hierlemann A, Gutierrez-Osuna R. 2008. Higher-order chemical sensing. Chem. Rev. 108:563-613 (Pubitemid 351344450)
    • (2008) Chemical Reviews , vol.108 , Issue.2 , pp. 563-613
    • Hierlemann, A.1    Gutierrez-Osuna, R.2
  • 16
    • 0033364719 scopus 로고    scopus 로고
    • Temperature modulation in semiconductor gas sensing
    • Lee AP, Reedy BJ. 1999. Temperature modulation in semiconductor gas sensing. Sens. Actuators B 60:35-42
    • (1999) Sens. Actuators B , vol.60 , pp. 35-42
    • Lee, A.P.1    Reedy, B.J.2
  • 18
    • 0032203382 scopus 로고    scopus 로고
    • Optimization of temperature programmed sensing for gas identification using micro-hotplate sensors
    • PII S0925400598002445
    • Kunt TA, McAvoy TJ, Cavicchi RE, Semancik S. 1998. Optimization of temperature programmed sensing for gas identification using micro-hotplate sensors. Sens. Actuators B 53:24-43 (Pubitemid 128429405)
    • (1998) Sensors and Actuators, B: Chemical , vol.53 , Issue.1-2 , pp. 24-43
    • Kunt, T.A.1    McAvoy, T.J.2    Cavicchi, R.E.3    Semancik, S.4
  • 19
    • 62649139542 scopus 로고    scopus 로고
    • Designing and optimizing microsensor arrays for recognizing chemical hazards in complex environments
    • Raman B, Meier DC, Evju JK, Semancik S. 2009. Designing and optimizing microsensor arrays for recognizing chemical hazards in complex environments. Sens. Actuators B 137:617-29
    • (2009) Sens. Actuators B , vol.137 , pp. 617-629
    • Raman, B.1    Meier, D.C.2    Evju, J.K.3    Semancik, S.4
  • 23
    • 0343289075 scopus 로고    scopus 로고
    • Micromachined metal oxide gas sensors: Opportunities to improve sensor performance
    • DOI 10.1016/S0925-4005(00)00639-0
    • Simon T, Barsan N, Bauer M, Weimar U. 2001. Micromachined metal oxide gas sensors: opportunities to improve sensor performance. Sens. Actuators B 73:1-26 (Pubitemid 32874436)
    • (2001) Sensors and Actuators, B: Chemical , vol.73 , Issue.1 , pp. 1-26
    • Simon, I.1    Barsan, N.2    Bauer, M.3    Weimar, U.4
  • 24
    • 0022699977 scopus 로고
    • An integrated low-power thin-film CO gas sensor on silicon
    • Demarne V, Grisel A. 1988. An integrated low-power thin-film CO gas sensor on silicon. Sens. Actuators 13:301-13
    • (1988) Sens. Actuators , vol.13 , pp. 301-313
    • Demarne, V.1    Grisel, A.2
  • 25
    • 3543040017 scopus 로고    scopus 로고
    • Metal oxide-based monolithic complementary metal oxide semiconductor gas sensor microsystem
    • DOI 10.1021/ac035432h
    • Graf M, Barrettino D, Taschini S, Hagleitner C, Hierlemann A, Baltes H. 2004. Metal oxide-based monolithic complementary metal oxide semiconductor gas sensor microsystem. Anal. Chem. 76:4437-45 (Pubitemid 39014018)
    • (2004) Analytical Chemistry , vol.76 , Issue.15 , pp. 4437-4445
    • Graf, M.1    Barrettino, D.2    Taschini, S.3    Hagleitner, C.4    Hierlemann, A.5    Baltes, H.6
  • 26
    • 12344309031 scopus 로고    scopus 로고
    • 3D nonlinear modeling of microhotplates in CMOS technology for use as metal-oxide-based gas sensors
    • DOI 10.1088/0960-1317/15/1/027
    • Graf M, Jurischka R, Barrettino D, Hierlemann A. 2005. 3D nonlinear modeling of microhotplates in CMOS technology for use as metal-oxide-based gas sensors. J. Micromech. Microeng. 15:190-200 (Pubitemid 40121494)
    • (2005) Journal of Micromechanics and Microengineering , vol.15 , Issue.1 , pp. 190-200
    • Graf, M.1    Jurischka, R.2    Barrettino, D.3    Hierlemann, A.4
  • 29
    • 0041577551 scopus 로고    scopus 로고
    • Optimized temperature-pulse sequences for the enhancement of chemically specific response patterns from micro-hotplate gas sensors
    • PII S0925400596018217
    • Cavicchi RE, Suehle JS, Kreider KG, Gaitan M, Chaparala P. 1996. Optimized temperature-pulse sequences for the enhancement of chemically specific response patterns frommicro-hotplate gas sensors. Sens. Actuators B 33:142-46 (Pubitemid 126378750)
    • (1996) Sensors and Actuators, B: Chemical , vol.33 , Issue.1-3 , pp. 142-146
    • Cavicchi, R.E.1    Suehle, J.S.2    Kreider, K.G.3    Gaitan, M.4    Chaparala, P.5
  • 30
    • 0001025179 scopus 로고    scopus 로고
    • Kinetically Controlled Chemical Sensing Using Micromachined Structures
    • Semancik S, Cavicchi R. 1998. Kinetically controlled chemical sensing using micromachined structures. Acc. Chem. Res. 31:279-87 (Pubitemid 128474562)
    • (1998) Accounts of Chemical Research , vol.31 , Issue.5 , pp. 279-287
    • Semancik, S.1    Cavicchi, R.2
  • 33
    • 33749461610 scopus 로고    scopus 로고
    • Micro hot plate-based sensor array system for the detection of environmentally relevant gases
    • DOI 10.1021/ac060467d
    • Graf M, Frey U, Taschini S, Hierlemann A. 2006. Micro hot plate-based sensor array system for the detection of environmentally relevant gases. Anal. Chem. 78:6801-8 (Pubitemid 44522529)
    • (2006) Analytical Chemistry , vol.78 , Issue.19 , pp. 6801-6808
    • Graf, M.1    Frey, U.2    Taschini, S.3    Hierlemann, A.4
  • 37
    • 0028477053 scopus 로고
    • An amperometric microsensor array with 1024 individually addressable elements for two-dimensional concentration mapping
    • Hermes T, BühnerM, Bücher S, Sundermeier C, DumschatC, et al 1994. An amperometric microsensor array with 1024 individually addressable elements for two-dimensional concentration mapping. Sens. Actuators B 21:33-37
    • (1994) Sens. Actuators B , vol.21 , pp. 33-37
    • Hermes, T.1    Bühner, M.2    Bücher, S.3    Sundermeier, C.4    Dumschat, C.5
  • 40
    • 84942558425 scopus 로고
    • Monitor and control of blood and tissue oxygen tensions
    • Clark LC. 1956. Monitor and control of blood and tissue oxygen tensions. Trans. Am. Soc. Artif. Intern. Organs 2:41-48
    • (1956) Trans. Am. Soc. Artif. Intern. Organs , vol.2 , pp. 41-48
    • Clark, L.C.1
  • 41
    • 64649104307 scopus 로고    scopus 로고
    • Real-time monitoring of brain tissue oxygen using a miniaturized biotelemetric device implanted in freely moving rats
    • Bazzu G, Puggioni GG, Dedola S, Calia G, Rocchitta G, et al 2009. Real-time monitoring of brain tissue oxygen using a miniaturized biotelemetric device implanted in freely moving rats. Anal. Chem. 81:2235-41
    • (2009) Anal. Chem. , vol.81 , pp. 2235-2241
    • Bazzu, G.1    Puggioni, G.G.2    Dedola, S.3    Calia, G.4    Rocchitta, G.5
  • 42
    • 53049092588 scopus 로고    scopus 로고
    • Pt-Pb nanowire array electrode for enzyme-free glucose detection
    • Bai Y, Sun YY, SunCQ. 2008. Pt-Pb nanowire array electrode for enzyme-free glucose detection. Biosens. Bioelectron. 24:579-85
    • (2008) Biosens. Bioelectron. , vol.24 , pp. 579-585
    • Bai, Y.1    Sun, Y.Y.2    Sun, C.Q.3
  • 43
    • 12844276707 scopus 로고    scopus 로고
    • L-lactate measures in brain tissue with ceramic-based multisite microelectrodes
    • DOI 10.1016/j.bios.2004.07.003, PII S0956566304003148
    • Burmeister JJ, Palmer M, Gerhardt GA. 2005. L-lactate measures in brain tissue with ceramic-based multisite microelectrodes. Biosens. Bioelectron. 20:1772-79 (Pubitemid 40170146)
    • (2005) Biosensors and Bioelectronics , vol.20 , Issue.9 , pp. 1772-1779
    • Burmeister, J.J.1    Palmer, M.2    Gerhardt, G.A.3
  • 44
    • 0032026935 scopus 로고    scopus 로고
    • Chrono amperometric determination of hydrogen peroxide in swimming pool water using an ultramicroelectrode array
    • Schwake A, Ross B, Cammann K. 1998. Chrono amperometric determination of hydrogen peroxide in swimming pool water using an ultramicroelectrode array. Sens. Actuators B 46:242-48
    • (1998) Sens. Actuators B , vol.46 , pp. 242-248
    • Schwake, A.1    Ross, B.2    Cammann, K.3
  • 46
    • 0026387401 scopus 로고
    • Miniature Fabry-Pèrot interferometers micromachined in silicon for use in optical fiber WDM systems
    • Jerman JH, Clift DJ. 1991. Miniature Fabry-Pèrot interferometers micromachined in silicon for use in optical fiber WDM systems. 1991 Int. Conf. Solid-State Sens. Actuators Dig. Tech. Pap., pp. 372-75
    • (1991) 1991 Int. Conf. Solid-State Sens. Actuators Dig. Tech. Pap. , pp. 372-75
    • Jerman, J.H.1    Clift, D.J.2
  • 47
    • 0026257716 scopus 로고
    • A miniature Fabry-Pèrot interferometer with a corrugated silicon diaphragm support
    • Jerman JH, Clift DJ, Mallinson SR. 1991. A miniature Fabry-Pèrot interferometer with a corrugated silicon diaphragm support. Sens. Actuators A 29:151-58
    • (1991) Sens. Actuators A , vol.29 , pp. 151-158
    • Jerman, J.H.1    Clift, D.J.2    Mallinson, S.R.3
  • 52
    • 53849140859 scopus 로고    scopus 로고
    • Differential radiometers using Fabry-Pèrot interferometric technique for remote sensng of greenhouse gases
    • Georgieva EM,Heaps WS,Wilson EL. 2008. Differential radiometers using Fabry-Pèrot interferometric technique for remote sensing of greenhouse gases. IEEE Trans. Geosci. Remote Sens. 46:3115-22
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , pp. 3115-22
    • Georgieva, E.M.1    Heaps, W.S.2    Wilson, E.L.3
  • 53
    • 0000110318 scopus 로고    scopus 로고
    • Fabry-Perot cavity chemical sensors by silicon micromachining techniques
    • Han J. 1999. Fabry-Pèrot cavity chemical sensors by siliconmicromachining techniques. Appl. Phys. Lett. 74:445-47 (Pubitemid 129614773)
    • (1999) Applied Physics Letters , vol.74 , Issue.3 , pp. 445-447
    • Han, J.1
  • 56
    • 33644767240 scopus 로고    scopus 로고
    • An array of highly selective Fabry-Perot optical channels for biological fluid analysis by optical absorption using a white light source for illumination
    • DOI 10.1088/1464-4258/8/3/008, PII S1464425806080123
    • MinasG,Wolffenbuttel RF, Correia JH. 2006. An array of highly selective Fabry-Pèrot optical channels for biological fluid analysis by optical absorption using a white light source for illumination. J. Opt. A 8:272-78 (Pubitemid 43345080)
    • (2006) Journal of Optics A: Pure and Applied Optics , vol.8 , Issue.3 , pp. 272-278
    • Minas, G.1    Wolffenbuttel, R.F.2    Correia, J.H.3
  • 57
    • 0033900151 scopus 로고    scopus 로고
    • High-selectivity single-chip spectrometer in silicon for operation at visible part of the spectrum
    • DOI 10.1109/16.824727
    • Correia JH, Bartek M,Wolffenbuttel RF. 2000. High-selectivity single-chip spectrometer in silicon for operation at visible part of the spectrum. IEEE Trans. Electron Devices 47:553-59 (Pubitemid 30578387)
    • (2000) IEEE Transactions on Electron Devices , vol.47 , Issue.3 , pp. 553-559
    • Correia, J.H.1    Bartek, M.2    Wolffenbuttel, R.F.3
  • 59
    • 50649086578 scopus 로고    scopus 로고
    • Widely tunable mode-hop free external cavity quantum cascade lasers for high resolution spectroscopy and chemical sensing
    • Wysocki G, Lewicki R, Curl RF, Tittel FK, Diehl L, et al 2008. Widely tunable mode-hop free external cavity quantum cascade lasers for high resolution spectroscopy and chemical sensing. Appl. Phys. B 92:305-11
    • (2008) Appl. Phys. B , vol.92 , pp. 305-311
    • Wysocki, G.1    Lewicki, R.2    Curl, R.F.3    Tittel, F.K.4    Diehl, L.5
  • 60
    • 33749538218 scopus 로고    scopus 로고
    • Development of digital signal processor controlled quantum cascade laser based trace gas sensor technology
    • DOI 10.1109/JSEN.2006.881350, 1703461
    • So SG, Wysocki G, Frantz JP, Tittel FK. 2006. Development of digital signal processor controlled quantum cascade laser based trace gas sensor technology. IEEE Sens. J. 6:1057-67 (Pubitemid 44523127)
    • (2006) IEEE Sensors Journal , vol.6 , Issue.5 , pp. 1057-1066
    • So, S.G.1    Wysocki, G.2    Frantz, J.P.3    Tittel, F.K.4
  • 61
    • 34249038563 scopus 로고    scopus 로고
    • Recent advances in trace gas detection using quantum and interband cascade lasers
    • Tittel FK, Bakhirkin Y, Kosterev AA, Wysocki G. 2006. Recent advances in trace gas detection using quantum and interband cascade lasers. Rev. Laser Eng. 34:275-82
    • (2006) Rev. Laser Eng. , vol.34 , pp. 275-282
    • Tittel, F.K.1    Bakhirkin, Y.2    Kosterev, A.A.3    Wysocki, G.4
  • 66
    • 0023327103 scopus 로고
    • A chemical concentration modulation sensor for selective detection of airborne chemicals
    • DOI 10.1016/0250-6874(87)80004-5
    • Otagawa T, Stetter JR. 1987. A chemical concentration modulation sensor for selective detection of airborne chemicals. Sens. Actuators 11:251-64 (Pubitemid 17585893)
    • (1987) Sensors and actuators , vol.11 , Issue.3 , pp. 251-264
    • Otagawa Takaaki1    Stetter Joseph, R.2
  • 67
    • 0026169631 scopus 로고
    • Detection of halogenated and other hydrocarbons in air. Response functions of catalyst/electrochemical sensor systems
    • Vaihinger S, Göpel W, Stetter JR. 1991. Detection of halogenated and other hydrocarbons in airresponse functions of catalyst electrochemical sensor systems. Sens. Actuators B 4:337-43 (Pubitemid 21714497)
    • (1991) Sensors and Actuators, B: Chemical , vol.B4 , Issue.3-4 , pp. 337-343
    • Vaihinger Stefan1    Goepel Wolfgang2    Stetter Joseph, R.3
  • 68
    • 30144437424 scopus 로고    scopus 로고
    • Transient signal analysis using complementary metal oxide semiconductor capacitive chemical microsensors
    • DOI 10.1021/ac051430g
    • Kummer AM, Burg TP, Hierlemann A. 2006. Transient signal analysis using complementary metal oxide semiconductor capacitive chemical microsensors. Anal. Chem. 78:279-90 (Pubitemid 43050969)
    • (2006) Analytical Chemistry , vol.78 , Issue.1 , pp. 279-290
    • Kummer, A.M.1    Burg, T.P.2    Hierlemann, A.3
  • 71
    • 22444451077 scopus 로고    scopus 로고
    • Multiple-stage microfabricated preconcentrator-focuser for micro gas chromatography system
    • Tian WC, Chan HKL, Lu CJ, Pang SW, Zellers ET. 2005. Multiple-stage microfabricated preconcentrator-focuser for micro gas chromatography system. J. Microelectromech. Syst. 14:498-507
    • (2005) J. Microelectromech. Syst. , vol.14 , pp. 498-507
    • Tian, W.C.1    Chan, H.K.L.2    Lu, C.J.3    Pang, S.W.4    Zellers, E.T.5
  • 74
    • 0038450243 scopus 로고    scopus 로고
    • Development of a preconcentration unit for a SAW sensor micro array and its use for indoor air quality monitoring
    • Bender F, Barie N, Romoudis G, Voigt A, Rapp A. 2003. Development of a preconcentration unit for a SAW sensor micro array and its use for indoor air quality monitoring. Sens. Actuators B 93:135-41
    • (2003) Sens. Actuators B , vol.93 , pp. 135-1341
    • Bender, F.1    Barie, N.2    Romoudis, G.3    Voigt, A.4    Rapp, A.5
  • 75
    • 33745727661 scopus 로고    scopus 로고
    • Two-step preconcentration for analysis of exhaled gas of human breath with electronic nose
    • Cho SM, Kim YJ, Heo GS, Shin S-M. 2006. Two-step preconcentration for analysis of exhaled gas of human breath with electronic nose. Sens. Actuators B 117:50-57
    • (2006) Sens. Actuators B , vol.117 , pp. 50-57
    • Cho, S.M.1    Kim, Y.J.2    Heo, G.S.3    Shin, S.-M.4
  • 76
    • 13144269639 scopus 로고    scopus 로고
    • Higher order sensing using QCM sensor array and preconcentrator with variable temperature
    • DOI 10.1109/JSEN.2004.839894
    • Nakamoto T, Sukegawa K, Sumitomo E. 2005. Higher order sensing using QCM sensor array and preconcentrator with variable temperature. IEEE Sens. J. 5:68-74 (Pubitemid 40178487)
    • (2005) IEEE Sensors Journal , vol.5 , Issue.1 , pp. 68-74
    • Nakamoto, T.1    Sukegawa, K.2    Sumitomo, E.3
  • 77
    • 18144399249 scopus 로고    scopus 로고
    • Multisensor system for characterization of packaging emissions: Prediction of total solvent amount and odor scores
    • Röck F, Gurlo A, Weimar U. 2005. Multisensor system for characterization of packaging emissions: Prediction of total solvent amount and odor scores. Anal. Chem. 77:2762-69
    • (2005) Anal. Chem. , vol.77 , pp. 2762-2769
    • Röck, F.1    Gurlo, A.2    Weimar, U.3
  • 80
    • 0035998876 scopus 로고    scopus 로고
    • Rapid preconcentration and enrichment techniques for the analysis of food volatile. A review
    • DOI 10.1006/fstl.2001.0804
    • Pillonel L, Bosset JO, Tabacchi R. 2002. Rapid preconcentration and enrichment techniques for the analysis of food volatile. A review. Lebensm. Wiss. Technol. 35:1-14 (Pubitemid 34264575)
    • (2002) LWT - Food Science and Technology , vol.35 , Issue.1 , pp. 1-14
    • Pillonel, L.1    Bosset, J.O.2    Tabacchi, R.3
  • 82
    • 0028741021 scopus 로고
    • Silicon-micromachined gas chromatography system used to separate and detect ammonia and nitrogen dioxide I Design fabrication and integration of the gas chromatography system
    • Reston RR, KolesarES Jr. 1994. Silicon-micromachined gas chromatography system used to separate and detect ammonia and nitrogen dioxide. I. Design, fabrication, and integration of the gas chromatography system. J. Microelectromech. Syst. 3:134-46
    • (1994) J. Microelectromech. Syst. , vol.3 , pp. 134-146
    • Reston, R.R.1    Kolesar Jr., E.S.2
  • 83
    • 0037444732 scopus 로고    scopus 로고
    • Portable gas chromatograph with tunable retention and sensor array detection for determination of complex vapor mixtures
    • DOI 10.1021/ac026092n
    • Lu CJ,Whiting J, Sacks RD, Zellers ET. 2003. Portable gas chromatograph with tunable retention and sensor array detection for determination of complex vapor mixtures. Anal. Chem. 75:1400-9 (Pubitemid 36397173)
    • (2003) Analytical Chemistry , vol.75 , Issue.6 , pp. 1400-1409
    • Lu, C.-J.1    Whiting, J.2    Sacks, R.D.3    Zellers, E.T.4
  • 84
    • 58849122209 scopus 로고    scopus 로고
    • Characterization of a high-performance portable GC with a chemiresistor array detector
    • Zhong Q, SteineckerWH, Zellers ET. 2009. Characterization of a high-performance portable GC with a chemiresistor array detector. Analyst 134:283-93
    • (2009) Analyst , vol.134 , pp. 283-293
    • Zhong, Q.1    Steinecker, W.H.2    Zellers, E.T.3
  • 87
    • 0003807773 scopus 로고    scopus 로고
    • Upper Saddle River, NJ: Prentice Hall. Xvi
    • Haykin SS. 2002. Adaptive Filter Theory. Upper Saddle River, NJ: Prentice Hall. xvi, 920 pp.
    • (2002) Adaptive Filter Theory , pp. 920
    • Haykin, S.S.1
  • 90
    • 0027649501 scopus 로고
    • The self-validating sensor: rationale, definitions and examples
    • Henry MP, Clarke DW. 1993. The self-validating sensor: rationale, definitions and examples. Control Eng. Pract. 1:585-610
    • (1993) Control Eng. Pract. , vol.1 , pp. 585-610
    • Henry, M.P.1    Clarke, D.W.2
  • 92
    • 33947132163 scopus 로고    scopus 로고
    • On-line novelty detection by recursive dynamic principal component analysis and gas sensor arrays under drift conditions
    • DOI 10.1109/JSEN.2006.874015
    • Perera A, Papamichail N, Barsan N, Weimar U, Marco S. 2006. On-line novelty detection by recursive dynamic principal component analysis and gas sensor arrays under drift conditions. IEEE Sens. J. 6:770-83 (Pubitemid 46405063)
    • (2006) IEEE Sensors Journal , vol.6 , Issue.3 , pp. 770-782
    • Perera, A.1    Papamichail, N.2    Barsan, N.3    Weimar, U.4    Marco, S.5
  • 93
    • 0025847733 scopus 로고
    • Peak purity control in liquid chromatography with photodiode-array detection by a fixed size moving window evolving factor analysis
    • Keller HR, Massart DL. 1991. Peak purity control in liquid chromatography with photodiode-array detection by a fixed size moving window evolving factor analysis. Anal. Chim. Acta 246:379-90
    • (1991) Anal. Chim. Acta , vol.246 , pp. 379-390
    • Keller, H.R.1    Massart, D.L.2
  • 95
    • 0142063407 scopus 로고    scopus 로고
    • Novelty detection: A review-part 1: Statistical approaches
    • Markou M, Singh S. 2003. Novelty detection: a review-part 1: statistical approaches. Signal Process. 83:2481-97
    • (2003) Signal Process. , vol.83 , pp. 2481-2497
    • Markou, M.1    Singh, S.2
  • 96
    • 0142126712 scopus 로고    scopus 로고
    • Novelty detection: A review-part 2: Neural network based approaches
    • Markou M, Singh S. 2003. Novelty detection: a review-part 2: neural network based approaches. Signal Process. 83:2499-521
    • (2003) Signal Process. , vol.83 , pp. 2499-2521
    • Markou, M.1    Singh, S.2
  • 97
    • 41549149658 scopus 로고    scopus 로고
    • Characterisation of humidity dependence of a metal oxide semiconductor sensor array using partial least squares
    • DOI 10.1016/j.snb.2007.11.009, PII S0925400507009276
    • Sohn JH, Atzeni M, Zeller L, Pioggia G. 2008. Characterisation of humidity dependence of a metal oxide semiconductor sensor array using partial least squares. Sens. Actuators B 131:230-35 (Pubitemid 351467739)
    • (2008) Sensors and Actuators, B: Chemical , vol.131 , Issue.1 , pp. 230-235
    • Sohn, J.H.1    Atzeni, M.2    Zeller, L.3    Pioggia, G.4
  • 98
    • 0242314839 scopus 로고    scopus 로고
    • A portable electronic nose based on embedded PC technology and GNU/Linux: Hardware, software and applications
    • DOI 10.1109/JSEN.2002.800683, PII 101109JSEN2002800683
    • Perera A, Sundic T, Pardo A, Gutierrez-Osuna R, Marco S. 2002. A portable electronic nose based on embedded PC technology andGNU/Linux: hardware, software and applications. IEEE Sens. J. 2:235-46 (Pubitemid 44357906)
    • (2002) IEEE Sensors Journal , vol.2 , Issue.3 , pp. 235-246
    • Perera, A.1    Sundic, T.2    Pardo, A.3    Gutierrez-Osuna, R.4    Marco, S.5
  • 99
    • 0037185995 scopus 로고    scopus 로고
    • Counteraction of environmental disturbances of electronic nose data by independent component analysis
    • DOI 10.1016/S0925-4005(01)01001-2, PII S0925400501010012
    • Di Natale C, Martinelli E, DAmico A. 2002. Counteraction of environmental disturbances of electronic nose data by independent component analysis. Sens. Actuators B 82:158-65 (Pubitemid 34222304)
    • (2002) Sensors and Actuators, B: Chemical , vol.82 , Issue.2-3 , pp. 158-165
    • Di Natale, C.1    Martinelli, E.2    D'Amico, A.3
  • 100
    • 35048829775 scopus 로고    scopus 로고
    • A blind source separation basedmicro gas sensor arraymodeling method
    • WeiG,Tang Z,Chan PCH, Yu J. 2004. A blind source separation basedmicro gas sensor arraymodeling method. Adv. Neural Netw. 3173:696-701
    • (2004) Adv. Neural Netw. , vol.3173 , pp. 696-701
    • Wei, G.1    Tang, Z.2    Chan, P.C.H.3    Yu, J.4
  • 101
    • 31144431848 scopus 로고    scopus 로고
    • Independent component analysis for solid-state chemical sensor arrays
    • DOI 10.1007/s10489-006-6930-3
    • Bermejo S. 2006. Independent component analysis for solid-state chemical sensor arrays. Appl. Intell. 24:61-73 (Pubitemid 43130242)
    • (2006) Applied Intelligence , vol.24 , Issue.1 , pp. 61-73
    • Bermejo, S.1
  • 103
    • 33745953368 scopus 로고    scopus 로고
    • Mixture segmentation and background suppression in chemosensor arrays with a model of olfactory bulb-cortex interaction
    • DOI 10.1109/IJCNN.2005.1555818, 1555818, Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005
    • Raman B,Gutierrez-Osuna R. 2005. Mixture segmentation and background suppression in chemosensor arrays with a model of olfactory bulb-cortex interaction. Proc. 2005 IEEE Int. Jt. Conf. 1:131-36 (Pubitemid 44055437)
    • (2005) Proceedings of the International Joint Conference on Neural Networks , vol.1 , pp. 131-136
    • Raman, B.1    Gutierrez-Osuna, R.2
  • 104
    • 33748302813 scopus 로고    scopus 로고
    • Contrast enhancement and background suppression of chemosensor array patterns with the KIII model
    • DOI 10.1002/int.20170
    • Gutierrez-Galvez A, Gutierrez-Osuna R. 2006. Contrast enhancement and background suppression of chemosensor array patterns with the KIII model. Int. J. Intell. Syst. 21:937-53 (Pubitemid 44328199)
    • (2006) International Journal of Intelligent Systems , vol.21 , Issue.9 , pp. 937-953
    • Gutierrez-Galvez, A.1    Gutierrez-Osuna, R.2
  • 105
    • 0742321285 scopus 로고    scopus 로고
    • Habituation in the KIII olfactory model with chemical sensor arrays
    • Gutierrez-Osuna R, Gutierrez-Galvez A. 2003. Habituation in the KIII olfactory model with chemical sensor arrays. IEEE Trans. Neural Netw. 14:1565-68
    • (2003) IEEE Trans. Neural Netw. , vol.14 , pp. 1565-1568
    • Gutierrez-Osuna, R.1    Gutierrez-Galvez, A.2
  • 106
    • 68349119733 scopus 로고    scopus 로고
    • Drift compensation standards and calibration methods
    • ed. TC Pearce SS Schiffman HT Nagle JW Gardner einheim, Ger.:Wiley
    • Holmberg M, Artursson T. 2002. Drift compensation, standards, and calibration methods. In Handbook of Machine Olfaction: Electronic Nose Technology, ed. TC Pearce, SS Schiffman, HT Nagle, JW Gardner, pp. 325-46. Weinheim, Ger.: Wiley
    • (2002) Handbook of Machine Olfaction: Electronic Nose Technology , pp. 325-346
    • Holmberg, M.1    Artursson, T.2
  • 108
    • 0028387602 scopus 로고
    • Self-organizing multisensor systems for odour classification: Internal categorization adaptation and drift rejection
    • Davide FAM, Di Natale C, DAmico A. 1994. Self-organizing multisensor systems for odour classification: internal categorization, adaptation and drift rejection. Sens. Actuators B 18:244-58
    • (1994) Sens. Actuators B , vol.18 , pp. 244-258
    • Davide, F.A.M.1    Di Natale, C.2    D.Amico, A.3
  • 109
    • 0031988316 scopus 로고    scopus 로고
    • Gas identification with tin oxide sensor array and self-organizing maps: Adaptive correction of sensor drifts
    • PII S0018945698061403
    • Marco S, Ortega A, Pardo A, Samitier J. 1998. Gas identification with tin oxide sensor array and selforganizing maps: adaptive correction of sensor drifts. IEEE Trans. Instrum. Meas. 47:316-21 (Pubitemid 128747267)
    • (1998) IEEE Transactions on Instrumentation and Measurement , vol.47 , Issue.1 , pp. 316-321
    • Marco, S.1    Ortega, A.2    Pardo, A.3    Samitier, J.4
  • 110
    • 0031988316 scopus 로고    scopus 로고
    • Gas identification with tin oxide sensor array and self-organizing maps: Adaptive correction of sensor drifts
    • PII S0018945698061403
    • Marco S, Pardo A, Ortega A, Samitier J. 1995. Gas identification with tin oxide sensor array and self organizing maps: adaptive correction of sensor drifts. Presented at Proc. IEEE Instrum. Meas. Technol. Conf., Ottawa, Can. (Pubitemid 128747267)
    • (1998) IEEE Transactions on Instrumentation and Measurement , vol.47 , Issue.1 , pp. 316-321
    • Marco, S.1    Ortega, A.2    Pardo, A.3    Samitier, J.4
  • 111
    • 1342263838 scopus 로고    scopus 로고
    • Drift counteraction with multiple self-organising maps for an electronic nose
    • Zuppa M, Distante C, Siciliano P, Persaud KC. 2004. Drift counteraction with multiple self-organising maps for an electronic nose. Sens. Actuators B 98:305-17
    • (2004) Sens. Actuators B , vol.98 , pp. 305-317
    • Zuppa, M.1    Distante, C.2    Siciliano, P.3    Persaud, K.C.4
  • 112
    • 3042699927 scopus 로고    scopus 로고
    • Independent component analysis applied on gas sensor array measurement data
    • Kermit M, Tomic O. 2003. Independent component analysis applied on gas sensor array measurement data. IEEE Sens. J. 3:218-28
    • (2003) IEEE Sens. J. , vol.3 , pp. 218-228
    • Kermit, M.1    Tomic, O.2
  • 113
    • 8744254664 scopus 로고    scopus 로고
    • Comparison of analytical methods and calibration methods for correction of detector response drift in arrays of carbon black-polymer composite vapor detectors
    • Sisk BC, Lewis NS. 2005. Comparison of analytical methods and calibration methods for correction of detector response drift in arrays of carbon black-polymer composite vapor detectors. Sens. Actuators B 104:249-68
    • (2005) Sens. Actuators B , vol.104 , pp. 249-268
    • Sisk, B.C.1    Lewis, N.S.2
  • 115
    • 0031211090 scopus 로고    scopus 로고
    • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
    • Freund Y, Schapire RE. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55:119-39 (Pubitemid 127433398)
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 116
    • 57749121230 scopus 로고    scopus 로고
    • Just-in-time adaptive classifiers part II: Designing the classifier
    • Alippi C, RoveriM. 2008. Just-in-time adaptive classifiers. Part II: Designing the classifier. IEEE Trans. Neural Netw. 19:2053-64
    • (2008) IEEE Trans. Neural Netw. , vol.19 , pp. 2053-2064
    • Alippi, C.1    Roveri, M.2
  • 117
    • 48949116228 scopus 로고    scopus 로고
    • Just-in-time adaptive classifiers part I: Detecting nonstationary changes
    • Alippi C, Roveri M. 2008. Just-in-time adaptive classifiers. Part I: Detecting nonstationary changes. IEEE Trans. Neural Netw. 19:1145-53
    • (2008) IEEE Trans. Neural Netw. , vol.19 , pp. 1145-1153
    • Alippi, C.1    Roveri, M.2
  • 118
    • 0035694667 scopus 로고    scopus 로고
    • An adaptive classifier design for high-dimensional data analysis with a limited training data set
    • DOI 10.1109/36.975001, PII S0196289201108776
    • Jackson Q, Landgrebe DA. 2001. An adaptive classifier design for high-dimensional data analysis with a limited training data set. IEEE Trans. Geosci. Remote Sens. 39:2664-79 (Pubitemid 34091845)
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.12 , pp. 2664-2679
    • Jackson, Q.1    Landgrebe, D.A.2
  • 120
    • 0031358353 scopus 로고    scopus 로고
    • An adaptive neural network topology for degradation compensation of thin film tin oxide gas sensors
    • Vlachos DS, Fragoulis DK, Avaritsiotis JN. 1997. An adaptive neural network topology for degradation compensation of thin film tin oxide gas sensors. Sens. Actuators B 45:223-28
    • (1997) Sens. Actuators B , vol.45 , pp. 223-228
    • Vlachos, D.S.1    Fragoulis, D.K.2    Avaritsiotis, J.N.3
  • 121
    • 0032131584 scopus 로고    scopus 로고
    • Adaptive resonance neural classifier for identification of gases odours using an integrated sensor array
    • Shukla KK, Das RR, Dwivedi R. 1998. Adaptive resonance neural classifier for identification of gases/odours using an integrated sensor array. Sens. Actuators B 50:194-203
    • (1998) Sens. Actuators B , vol.50 , pp. 194-203
    • Shukla, K.K.1    Das, R.R.2    Dwivedi, R.3
  • 123
  • 126
    • 4344660210 scopus 로고    scopus 로고
    • Adaptive integrated sensor processing to compensate for drift and uncertainty: A stochastic neural approach
    • Tang TB, Chen H, Murray AF. 2004. Adaptive, integrated sensor processing to compensate for drift and uncertainty: a stochastic neural approach. IEEE Proc. Nanobiotechnol. 151:28-34
    • (2004) IEEE Proc. Nanobiotechnol. , vol.151 , pp. 28-34
    • Tang, T.B.1    Chen, H.2    Murray, A.F.3
  • 128
    • 0024056554 scopus 로고
    • Active perception
    • Bajcsy R. 1988. Active perception. Proc. IEEE 76:966-1005
    • (1988) Proc. IEEE , vol.76 , pp. 966-1005
    • Bajcsy, R.1
  • 129
    • 0033741106 scopus 로고    scopus 로고
    • Active object recognition by view integration and reinforcement learning
    • Paletta L, Pinz A. 2000. Active object recognition by view integration and reinforcement learning. Robot. Auton. Syst. 31:71-86
    • (2000) Robot. Auton. Syst. , vol.31 , pp. 71-86
    • Paletta, L.1    Pinz, A.2
  • 130
    • 0036473286 scopus 로고    scopus 로고
    • Information theoretic sensor data selection for active object recognition and state estimation
    • DOI 10.1109/34.982896
    • Denzler J, Brown CM. 2002. Information theoretic sensor data selection for active object recognition and state estimation. IEEE Trans. Pattern Anal. Mach. Intell. 24:145-57 (Pubitemid 34198205)
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , Issue.2 , pp. 145-157
    • Denzler, J.1    Brown, C.M.2
  • 131
    • 0042544062 scopus 로고    scopus 로고
    • Active markov localization for mobile robots
    • PII S0921889098000499
    • Fox D, Burgard W, Thrun S. 1998. Active Markov localization for mobile robots. Robot. Autono. Syst. 25:195-207 (Pubitemid 128401275)
    • (1998) Robotics and Autonomous Systems , vol.25 , Issue.3-4 , pp. 195-207
    • Fox, D.1    Burgard, W.2    Thrun, S.3
  • 132
    • 2942625604 scopus 로고    scopus 로고
    • Coevolution of active vision and feature selection
    • DOI 10.1007/s00422-004-0467-5
    • Floreano D, Kato T, Marocco D, Sauser E. 2004. Coevolution of active vision and feature selection. Biol. Cybern. 90:218-28 (Pubitemid 40877330)
    • (2004) Biological Cybernetics , vol.90 , Issue.3 , pp. 218-228
    • Floreano, D.1    Kato, T.2    Marocco, D.3    Sauser, E.4
  • 133
    • 0029371593 scopus 로고
    • Improvement of optimization algorithm in active gas odor sensing system
    • Nakamoto T, OkazakiN,MatsushitaH. 1995. Improvement of optimization algorithm in active gas/odor sensing system. Sens. Actuators A 50:191-96
    • (1995) Sens. Actuators A , vol.50 , pp. 191-196
    • Nakamoto, T.1    Okazaki, N.2    Matsushita, H.3
  • 134
    • 77950817617 scopus 로고    scopus 로고
    • Active temperature programming formetal-oxide chemoresistors
    • In press
    • Gosangi R,Gutierrez-Osuna R. 2009. Active temperature programming formetal-oxide chemoresistors. IEEE Sens. J. In press
    • (2009) IEEE Sens. J.
    • Gosangi, R.1    Gutierrez-Osuna, R.2
  • 135
    • 0038759361 scopus 로고    scopus 로고
    • Pattern analysis for machine olfaction: A review
    • DOI 10.1109/JSEN.2002.800688, PII 101109JSEN2002800688
    • Gutierrez-Osuna R. 2002. Pattern analysis for machine olfaction: a review. IEEE Sens. J. 2:189-202 (Pubitemid 44362479)
    • (2002) IEEE Sensors Journal , vol.2 , Issue.3 , pp. 189-202
    • Gutierrez-Osuna, R.1
  • 136
    • 33846274880 scopus 로고    scopus 로고
    • Cost-sensitive feature acquisition and classification
    • DOI 10.1016/j.patcog.2006.11.008, PII S0031320306004808
    • Ji S, Carin L. 2007. Cost-sensitive feature acquisition and classification. Pattern Recognit. 40:1474-85 (Pubitemid 46123392)
    • (2007) Pattern Recognition , vol.40 , Issue.5 , pp. 1474-1485
    • Ji, S.1    Carin, L.2
  • 138
    • 0344983278 scopus 로고    scopus 로고
    • Adaptive dynamic range imaging: Optical control of pixel exposures over space and time
    • Nayar SK, Branzoi V. 2003. Adaptive dynamic range imaging: optical control of pixel exposures over space and time. Proc. IEEE 2:1168-75
    • (2003) Proc. IEEE , vol.2 , pp. 1168-1175
    • Nayar, S.K.1    Branzoi, V.2
  • 140
    • 33744790283 scopus 로고    scopus 로고
    • Applications of integrated sensing and processing in spectroscopic imaging and sensing
    • Medendorp J, Lodder RA. 2005. Applications of integrated sensing and processing in spectroscopic imaging and sensing. J. Chemom. 19:533-42
    • (2005) J. Chemom. , vol.19 , pp. 533-542
    • Medendorp, J.1    Lodder, R.A.2
  • 141
    • 33845373792 scopus 로고
    • Species discrimination and quantitative estimation using incoherent linear optical signal processing of emission signals
    • Bialkowski SE. 1986. Species discrimination and quantitative estimation using incoherent linear optical signal processing of emission signals. Anal. Chem. 58:2561-63
    • (1986) Anal. Chem. , vol.58 , pp. 2561-2563
    • Bialkowski, S.E.1
  • 142
    • 0033559243 scopus 로고    scopus 로고
    • Optical regression: A method for improving quantitative precision ofmultivariate prediction with single channel spectrometers
    • Prakash AMC, Stellman CM, Booksh KS. 1999. Optical regression: a method for improving quantitative precision ofmultivariate prediction with single channel spectrometers. Chemom. Intell. Lab. Syst. 46:265-74
    • (1999) Chemom. Intell. Lab. Syst. , vol.46 , pp. 265-274
    • Prakash, A.M.C.1    Stellman, C.M.2    Booksh, K.S.3
  • 143
    • 1942519221 scopus 로고    scopus 로고
    • Precision in multivariate optical computing
    • Haibach FG, Myrick ML. 2004. Precision in multivariate optical computing. Appl. Opt. 43:2130-40
    • (2004) Appl. Opt. , vol.43 , pp. 2130-2140
    • Haibach, F.G.1    Myrick, M.L.2
  • 144
    • 38349062682 scopus 로고    scopus 로고
    • Integrated sensing and processing aoustic resonance spectrometry ISP-ARS for sample classification
    • Medendorp J, Fackler J,Douglas C, LodderR. 2007. Integrated sensing and processing aoustic resonance spectrometry (ISP-ARS) for sample classification. J. Pharm. Innov. 2:125-34
    • (2007) J. Pharm. Innov. , vol.2 , pp. 125-134
    • Medendorp, J.1    Fackler, J.2    Douglas, C.3    Lodder, R.4
  • 147
  • 149
    • 27944490448 scopus 로고    scopus 로고
    • Dynamic gas sensor network for air pollution monitoring and its auto-calibration
    • M2L-C.5, Proceedings of the IEEE Sensors 2004
    • Tsujita W, Ishida H, Moriizumi T. 2004. Dynamic gas sensor network for air pollution monitoring and its auto-calibration. Presented at IEEE Sens., 3rd, Vienna, Oct. 24-27 (Pubitemid 41675852)
    • (2004) Proceedings of IEEE Sensors , vol.1 , pp. 56-59
    • Tsujita, W.1    Ishida, H.2    Moriizumi, T.3


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