연구동향 분석
박사

Acceleration-Energy Filter and Bias Compensation for Stabilizing Equation Error Estimator in Inverse Analysis Using Dynamic Displacement : 동적 변위를 사용하는 역해석 문제에서 Equation Error Estimator 안정화를 위한 가속도-에너지 필터 및 편향성 보정 기법

Park, Kwang-yeun 2015년

논문상세정보
인용/피인용
' Acceleration-Energy Filter and Bias Compensation for Stabilizing Equation Error Estimator in Inverse Analysis Using Dynamic Displacement : 동적 변위를 사용하는 역해석 문제에서 Equation Error Estimator 안정화를 위한 가속도-에너지 필터 및 편향성 보정 기법' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • acceleration-energy filter
  • bias-compensation
  • equation error estimation (eee)
  • identifying material properties
  • inverse analysis
  • linear elastic continua
  • medical imaging
  • system identification
  • temporal-spatial filter
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
67 0

0.0%

' Acceleration-Energy Filter and Bias Compensation for Stabilizing Equation Error Estimator in Inverse Analysis Using Dynamic Displacement : 동적 변위를 사용하는 역해석 문제에서 Equation Error Estimator 안정화를 위한 가속도-에너지 필터 및 편향성 보정 기법' 의 참고문헌

  • [Yoshitomi 2009]Yoshitomi S, Takewaki I, “Noise-bias compensation in physical-parameter systemidentification under microtremor input”, Engineering Structures, vol. 31, pp. 580-590,2009
  • [Yeo 2000]Yeo I H, Shin S, Lee H S, Chang S P, “Statistical damage assessment of framedstructures from static responses”, Journal of Engineering Mechanics, ASCE, vol. 126,no. 4, pp. 414-421, 2000.
  • [Wahbeh 2003]Wahbeh A M, Carffrey J P Masri S F, “A vision-based approach for the directmeasurement of displacements in vibrating system”, Smart Materials and Structures,vol. 12, pp. 758-794, 2003
  • [Vertroni 2000]Vertroni F, Capecchi D, “Damage detection in beam structures based on frequencymeasurements”, Journal of Engineering Mechanics, 126(7), pp. 761-768, 2000123
  • [Timoshenco 1970]Timoshenco S P, Goodier J N, “Theory of Elasticity”, Third Edition, McGraw-Hill,New York, 1970
  • [Timoshenco 1959]Timoshenco S P, Woinowsky-Krieger S, “Theory of Plates and Shell”, Second Edition,McGraw-Hill, New York, 1959
  • [Sohn 2004]Sohn H, Farrar C R, Hemez F M, Shunk D D, Stinemates S W, Nadler B R, CzarneckiJ J, “A review of structural health monitoring literature: 1996-2001”, Los AlamosNational Laboratory report, LA-13976-MS, 2004Vertroni F, Capecchi D, “Damagedetection in beam structures based on frequency measurements”, Journal ofEngineering Mechanics, 126(7), pp. 761-768, 2000
  • [Skovoroda 1995]Skovoroda A R,Aglyamov S R, “Reconstruction of elastic properties of soft biologicaltissues exposed to low-frequencies disruption”, Biofizika, vol. 40, pp. 1329-1334, 1995.
  • [Sarvazyan 1998]Sarvazyan A, Rudenko O, Swanson S, “Shear wave elasticity imaging: a newultrasonic technology of medical diagnostics”, Ultrasound Med. Biol., vol. 24, pp.1419-1435, 1998.
  • [Richards 2009]Richards M S, Barbone P E, Oberai A A, “Quantitative three-dimensional elasticityimaging from quasi-static deformation: a phantom study”, Phys. Med. Biol., vol. 54,pp. 757-779, 2009.
  • [Reddy 1990]Reddy M R R, Kumar B, Dutta Roy S C, “Design of efficient second and higher orderFIR digital differentiators for low frequencies”, Signal Processing, vol. 20, pp. 219-225, 1990
  • [Rao 1996]Rao S S, “Engineering Optimization: Theory and Practice”, Third Edition, John Wiley& Son, Inc., New York, 1996
  • [Raghavan 1994]Raghavan K R, Yagle A E, “Forward and inverse problems in elasticity imaging ofsoft-tissues”, IEEE Trans. Nucl. Sci., vol. 41, pp. 1639-1648, 1994.
  • [Rabiner 1975]Rabiner L R, Gold B, “Theory and application of digital signal processing”, Prentice-Hall, Englewood Cliffs, NJ, 1975
  • [Qi 2014]Qi X, Lichti D, El-Badry M, Chow J, Ang K, “Vertical dynamic deflectionmeasurement in concrete beams with Microsoft Kinect”, Sensors, vol. 14, pp. 3293-3307, 2014
  • [Ponnekanti 1994]Ponnekanti H, Ophir J, Cespedes I, “Ultrasonic-imaging of the stress-distribution inelastic media due to an external compressor”, Ultrasound Med. Biol., vol. 20, pp. 27-33, 1994.
  • [Parker 1990]Parker K J, Huang S R, Musulin R A, Lerner R M, “Tissue-response tomechanicalvibrations for sonoelasticity imaging”, Ultrasound Med. Biol., vol. 16, pp. 241-246,1990.
  • [Park 2013]Park H S, Kim J M, Choi S W, Kim Y, “A wireless laser displacement sensor node forstructural health monitoring”, Sensores, vol. 13, pp. 13204-13216, 2013
  • [Park 2012]Park S K, “Time domain SI scheme for time-invariant and time-variant structuralsystem”, Ph. D thesis, Seoul National University, Korea, 2012.
  • [Park 2009]Park E Y, Maniatty A M, “Finite element formulation for shear modulusreconstruction in transient elastography”, Inverse Problems in Science andEngineering, vol. 17, pp. 605-626, 2009.
  • [Park 2008]Park S K, Park H W, Shin S, Lee H S, “Detection of Abrupt Structural DamageInduced by an Earthquake Using a Moving Time-Window Technique”, Computersand Structures, vol. 86, no. 11-12, pp. 1253-1265, 2008.
  • [Park 2007]Park H W, Park M W, Ahn B K, Lee H S, “1-norm based regularization scheme forsystem identification of structures with discontinuous system parameters”,International Journal for Numerical Methods in Engineering, vol. 69, no. 3, pp. 504-523, 2007.
  • [Park 2006b]Park E Y, Maniatty A M, “Shear modulus reconstruction in dynamic elastography:time harmonic case”, Phys. Med. Biol., vol. 51, pp. 3697-3721, 2006.
  • [Park 2006a]Park Y C, “A stabilizaing sheme for the dynamic analysis of slack cables”, MasterThesis, Seoul National University, 2006
  • [Park 2002]Park H W, “Regularization techniques in system identification for damage assessmentof structures”, PhD Thesis, Seoul National University, Seoul Korea, 2002.
  • [Park 2001]Park H W, Shin S B, Lee H S, “Determination of an optimal regularization factor insystem identification with Tikhonov function for linear elastic continua”, InternationalJournal for Numerical Methods in Engineering, vol. 51, no. 10, pp. 1211-1230, 2001.
  • [Oppenheim 1999]Oppenheim A V, Schafer R W, Buck J R, “Discrete-time signal processing”, SecondEdition, Prentice-Hall, upper Saddle River, NJ, 1999
  • [Ophir 1991]Ophir J, Cespedes I, Ponnekanti H, Yazdi Y, Li X, “Elastography: a quantitativemethod for imaging the elasticity of biological tissues”, Ultrason. Imaging, vol. 13, pp.111-134, 1991.
  • [Nguyen 1993]Nguyen H L, Sibille P, Garnier H, “A new bias compensating least-squares method foridentification of stochastic linear system in presence of colored noise”, Proceedings of32nd conference of decision and control, San Antonio, Texas, 1993
  • [McGuiare 2000]McGuire W, Gallagher R H, Ziemian R D, “Matrix Structural Analysis”, SecondEdition, John Wiley & Sons, Inc., New York, 2000
  • [Mashreghi 2014]Mashreghi A, Yazdi H S, “A recursive algorithm for optimizing differentiation”,Journal of Computational and Applied Mathematics, vol. 263, pp. 1-13, 2014120
  • [Luengberger 1979]Luengberger D G, “Introduction to Dynamic Systems: Theory, Models &Applications”, John Wiley & Son, Inc., New York, 1979
  • [Lubinski 1996]Lubinski M A, Emelianov S Y, Raghavan K R, Yagle A E, Skovoroda A R,O’Donnell M, “Lateral displacement estimation using tissue incompressibility”, IEEETrans. Ultrason. Ferroelectr. Freq. Control, vol. 43, pp. 247-255, 1996.
  • [Lee 2010]Lee H S, Hong Y H, Park H W, “Design of an FIR Filter for the DisplacementReconstruction Using Measured Acceleration in Low-frequency Dominant Structures”,International Journal for Numerical Methods in Engineering, vol. 82, pp. 403-434,2010.
  • [Lee 2000]Lee H S, Park C J, Park H W, “Identification of geometric shapes and materialproperties of inclusions in two-dimensional finite bodies by boundaryparameterization”, Computer Methods in Applied Mechanics and Engineering, vol.181, no. 1-2, pp. 1-20, 2000.1.
  • [Lee 1999]Lee H S, Kim Y H, Park C J, Park H W, “A new spatial regularization scheme for theidentification of geometric shapes of inclusions in finite bodies”, International Journalfor Numerical Methods in Engineering, vol. 46, no. 7, pp. 973-992, 1999.
  • [Lawler 2006]Lawler G F, “Introduction to Stochastic Processes”, Second Edition, Chapman &Hall/CRC, New York, 2006
  • [Kumar 1996]Kumar B, Choudhury D R, Kumar A, “On the design of linear phase, FIR integratorsfor midband frequencoes”, IEEE, Transacation of signal processing, vol. 44(10), pp.2391-2395, 1996
  • [Kreyszig 2006]Kreyszig E, “Advanced Engineering Mathematics”, Ninth Edition, John Wiley & Sons,Inc., New Jersey, 2006119
  • [Kim 2011]Kim J, “System identification of civil engineering structures though wirelessstructureal monitoring and subspace system identification methods”, Ph. D Thesis,University of Michigan, 2011
  • [Kang 2005]Kang J S, Park S K, Shin S, Lee H S, “Structural System Identification in TimeDomain using Measured Acceleration”, Journal of Sound and Vibration, vol. 288, pp.215-234, 2005.11.
  • [Johnson 1987]Johnson C, “Numerical solution of partial differential equations by the finite elementmethods”, Cambridge University Press: New York, 1987.
  • [Ikenoue 2009]Ikenoue M, Kanae S, Yang Z J, Wada K, “Identification of errors-in-variables modelvia bias-compensated instrumental variables type method”, International Journal ofOnnovative Computing, Information and Control, vol. 5, pp. 29-40, 2009
  • [Hughes 1987]Hughes T J R, “the finite element method: linear static and dynamic finite elementanalysis”, Prentice-Hall, Englewood Cliff, NJ, 1987
  • [Hong 2013]Hong Y H, Lee S G, Lee H S, "Design of the FEM-FIR filter for displacementreconstruction using accelerations and displacements measured at different samplingrates", Mechanial Systems and Signal Processing, Vol. 38, No. 2, pp. 460-481, 2013.7.
  • [Hong 2012]Hong Y H, “Reconstruction of Dynamic Displacement and Velocity based on theVariation Statement of an Inverse Problem from Measured Acceleration with SpecialApplication to the Extraction of Flutter Derivatives”, Ph. D thesis, Seoul NationalUniversity, Korea, 2012.
  • [Hong 2010]Hong Y H, Kim H K, Lee H S, "Reconstruction of dynamic displacement and velocityfrom measured accelerations using the variational statement of an inverse problem",Journal of Sound and Vibration, 329 (2010) pp. 4980-5003, 2010.
  • [Ho 1966]Ho B L, Kalman R E, “Effective construction of linear state-variable models frominput/output functions”, Regelungstechnik, vol. 14, no. 12, pp. 545-548, 1966
  • [Hjelmstad 1996]Hjelmstad K D, “On the uniqueness of modal parameter estimation”, Journal of Soundand Vibration, vol. 192, no 2, pp. 581-598, 1996.
  • [Hjelmstad 1995]Hjelmstad K D, Banan M R, and Banan M R, “Time-domain parameter estimationalgorithm for structures. I: computational aspects“, Journal of Engineering Mechanics,vol. 121, no. 3, pp. 424-434, 1995.
  • [Haykin 2002]Haykin S, “Adaptive filter theory”, Forth Edition, Pearson Education, Inc., 2002
  • [Hansen 1998]Hansen P C, “Rank-deficient and discrete ill-posed problems: numerical aspects oflinear inversion”, SIAM, Philadelphia, 1998
  • [Hansen 1997]Hjelmstad K D, Shin S, “Damage detection and assessment of structures from staticresponse”, Journal of Engineering Mechanics, 123(6), pp. 568-576, 1997
  • [Hansen 1992b]Hansen P C, Sekii T, Shibahashi H, “The modified truncated SVD method forregularization in general form”, SIAM J. Sci. Stat. Comput., vol. 13, pp. 1142-1150,1992
  • [Hansen 1992a]Hansen P C, “Analysis of discrete ill-posed problems by means of the L-curve”, SIAMreview, vol. 34, no. 4, pp. 561-580, 1992.
  • [Hamming 1989]Hamming R W, “Digital filters”, Third Edition, Prentice-Hall, Englewood Cliffs, NJ,1989
  • [Groetsch 1984]Groetsch C W, “The theory of Tikhonov regularization for Fredholm equations of thefirst kind”, Pitman Advanced Publishing: Boston, 1984.
  • [Graff 1991]Graff K F, “Wave Motion in Elastic Solids”, Dover Publications, 1991.
  • [Goodwin 1984]Goodwin G C, Sin K S, “Adaptive filtering prediction and control”, Prentice Hall, Inc.,NewSouth Wales, 1984
  • [Gear 2009]Gear J M, Goodno B J, “Mechanics of Materials”, Seventh Edition (SI Edition),Cengage Learning, Stanford, USA, 2009
  • [Ge 1998b]Ge L, Soong T T, “Damage identification through regularization method II:applications”, Journal of Engineering Mechanics, vol. 124, no. 1, pp. 109-116, 1998
  • [Ge 1998a]Ge L, Soong T T, “Damage identification through regularization method I: theory”,Journal of Engineering Mechanics, vol. 124, no. 1, pp. 103-108, 1998
  • [Fung 1994]Fung Y C, “A First Course in Continuum Mechanics”, PRENTICE HALL, EnglewoodCliffs, Yew Jersey, 1994
  • [Doyley 2012]Doyley M M, “Model-based elastography: a survey of approaches to the inverseelasticity problem”, Physics in Medicine and Biology, vol. 57, R35, 2012.
  • [Doebling 1996]Doebling S W, Farrar C R, “Damage identification and health monitoring of structuraland mechanical systems from change in their vibration characteristics: a literaturereview”, Los Alamos National Laboratory Report, LA-13070-MS, 1996
  • [Ding 2011]Ding J, Ding F, “Bias compensation-based parameter estimation for output errormoving average system”, International Journal of Adaptive Control and SignalProcessing, vol. 25, pp. 1100-1111, 2011
  • [Chopra 2007]Chopra A K, “Dynamics of Structures - Theory and Application to EarthquakeEngineering”, Third Edition, Pearson Education Inc. Upper Saddle River, New Jersey,2007116
  • [Choi 2013]Choi S W, Kim B R, Lee H M, Kim Y, Park H S, “A deformed shape monitoringmodel for building structures based on a 2D laser scanner”, Sensors, vol. 13, pp. 6746-6758, 2013
  • [Bui 1994]Bui H D, “Inverse problems in the mechanics of materials: An introduction”, CRCPress: Boca Raton, 1994.
  • [Bracewell 2000]Bracewell R N, “The Fourier transform and its application”, Third Edition,WBC/McGraw Hill, Boston, 2000
  • [Bercoff 2004]Bercoff J, Tanter M, Fink M, “Supersonic shear imaging: a new technique for softtissue elasticity mapping”, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, vol. 51,pp. 396-409, 2004.
  • [Bercoff 2003]Bercoff J, Chaffai S, Tanter M, Sandrin L, Catheline S, Fink M, Gennison J L,Meunier M, “In vivo breast tumor detection using transient elastography”, Ultrasoundin Med. & Biol., vol. 29, no. 10, pp. 1387-1396, 2003.
  • [Banan 1995]Banan M R, Hjelmstad K D, “Time-domain parameter estimation algorithm forstructures II: numerical simulation studies”, Journal of Engineering Mechanics, 121(3),pp. 435-447, 1995
  • [Al-Alaoui 2007]Al-Alaoui M A, “Linear phase low-pass IIR digital differentiators”, Signal Processing,vol. 55, no. 2, 697-706, 2007