Search for dissertations about: "deviation matrix"

Showing result 1 - 5 of 25 swedish dissertations containing the words deviation matrix.

  2. 1. Modeling the effects of knots in Structural Timber

    Author : Christina Foley; Avdelningen för Konstruktionsteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Material technology; Byggnadsteknik; Building construction; three-dimensional fiber paradigm; fiber deviation; knots; annual growth layer; material matrix; knot bump; structural timber; load carrying capacity; Materiallära; critical knot; knot distance ratio; local principal material directions; stiffness; materialteknik;

    Abstract : The main purpose of the pursued research is to increase knowledge of the effects of knots in structural timber so that characteristics of weaker timber may be determined and applied to improve current grading techniques. In the process, a three-dimensional fiber paradigm was established, which describes variations of local principle material axes in timber containing knots. READ MORE

  4. 2. On improving robot positioning accuracy

    Author : Junjie Yao; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; industrial robots; deviation matrix; modeling; robot kinematics; off-line programming; pose accuracy; ASEA Irb 6 2 robot; elastic deflection;

    Abstract : .... READ MORE

  5. 3. Assessing precision and accuracy in acoustic scattering matrix measurements

    Author : Luck Peerlings; Hans Bodén; Susann Boij; Avraham Hirschberg; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; aero-acoustics; sudden area expansion; in-duct acoustics; acoustic scattering matrix; impedance tube; uncertainty analysis; systematic errors; Vehicle and Maritime Engineering; Farkostteknik;

    Abstract : Acoustic scattering matrices are used to characterize the influence of inline duct elements on the acoustic wave propagation in wave guides.When measuring the properties of these matrices, errors are always present in the results and need to be characterized to make valid statements on the correspondence between model predictions and measurements. READ MORE

  6. 4. Inductively Coupled Plasma Atomic Emission Spectrometry : Exploring the Limits of Different Sample Preparation Strategies

    Author : Barbro Kollander; Jean Pettersson; Marit Andersson; Jonas Bergquist; Grethe Wibetoe; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; multi element analysis; trace element; ICP-AES; inductively coupled plasma atomic emission spectromtery; water analysis; liver analysis; non digested samples; medical samples; biological samples; samples from biopsies and autopsies; mice organ; fast analysis; internal standard; preconcentration; matrix elimination; Cu; Zn; Mn; Co; Pb; Cd; Mg; Ca; Fe; Ni; Cr; S; P; K; Al; Analytical chemistry; Analytisk kemi; Analytical Chemistry; Analytisk kemi;

    Abstract : This thesis describes two different sample preparation strategies for inductively coupled plasma atomic emission spectrometry (ICP-AES), and their ability regarding multi element quantification in complex samples. Sensitivity, repeatability, reproducibility and accuracy were investigated. READ MORE

  7. 5. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms

    Author : Othmane Mazhar; Boualem Djehiche; Munther Dahleh; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Time series; Non-asymptotic estimation; Minimax; Change point detection; Hidden Markov model; State space model; Least square; Penalized Regression; Random covariance matrix; Concentration inequality; Chaining integral; Self-normalized martingale inequality; Cramér-Rao inequality; van Trees inequality; Matematisk statistik; Mathematical Statistics;

    Abstract : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. READ MORE