A simple, yet powerful, learning method is presented by combining the famed kernel trick and the least-mean-square (LMS) algorithm, called the KLMS. General properties of the KLMS algorithm are demonstrated regarding its well-posedness in very high dimensional spaces using Tikhonov regularization theory. An experiment is studied to support our conclusion that the KLMS algorithm can be readily u...

background: occupation is one of the major parts of our daily lives that might cause a great amount of stress. stress and job burnout are linked together. the association between musculoskeletal disorders (msd) and burnout syndrome as a psychosocial factor was investigated previously. objectives: the aim of this study was to identify the role of occupational stress and burnout in musculoskeleta...

In this technical report we analyse the performance of diffusion strategies applied to the Least-Mean-Square adaptive filter. We configure a network of cooperative agents running adaptive filters and discuss their behaviour when compared with a non-cooperative agent which represents the average of the network. The analysis provides conditions under which diversity in the filter parameters is be...

This paper presents a Tsunami lead wave reconstruction method using noisy sea surface height (SSH) measurements such as observed by a satellite-carried GNSS reflectometry (GNSS-R) sensor. It is proposed to utilize wavelet theory to mitigate the strong noise in the GNSS-R based SSH measurements. Through extracting the noise components by high-pass filters at decomposition stage and shrinking the...

There are a number of techniques for estimating the amount of weathering a clast has undergone. These usually have the objective of establishing an ordinal chronology of geomorphological surfaces, or investigation of site-specific conditions affecting weathering rates. Three such techniques are applied to a dated sequence of alluvial fan segments in southern Tunisia. Two of these techniques dep...

In this work we propose an algorithm to perform the affine 3D surface registration using the shape modeling based on SPHerical HARMonic: called SPHARM. In the existing SPHARM registration algorithms the alignment is obtained using the rotation properties, that allows to perform the 3D surface rotation transforming only the spherical coefficients. The major limit is that this approach aligns the...

We developed a deductive database system PACADE (Protein Coordinate Analyzer with Deductive Engine) for analyzing three dimensional and secondary structures of protein. This system has an inference system and a relational database which stores the primary, secondary and tertiary structures converted from Brookhaven's Protein Data Bank (PDB). Users of PACADE can represent biological knowledge on...

We study the minimum shift design problem (MSD) that arose in a commercial shift scheduling software project: Given a collection of shifts and workforce requirements for a certain time interval, we look for a minimum cardinality subset of the shifts together with an optimal assignment of workers to this subset of shifts such that the deviation from the requirements is minimum. This problem is c...

A system of two biased, mutually exclusive random walkers on an infinite 1D lattice is studied whereby the intrinsic bias of one particle is equal and opposite to that of the other. The propogator for this system is solved exactly and expressions for the mean displacement and mean square displacement (MSD) are found. Depending on the nature of the intrinsic bias, the system's behaviour displays...

OBJECTIVE   To evaluate nasal symmetry using three-dimensional photogrammetry following primary tip rhinoplasty with or without an internal splint in patients with unilateral complete cleft lip/palate. DESIGN   We captured three-dimensional images of patients with unilateral complete cleft lip/palate who underwent nasolabial repair by rotation-advancement of the lip and primary tip rhinoplast...