This paper proposes new approximate QR-based algorithms for recursive nonlinear least squares (NLS) estimation. Two QR decomposition-based recursive algorithms are introduced based on the classical Gauss-Newton (GN) and Levenberg-Marquardt (LM) algorithms in nonlinear unconstrained optimization or least squares problems. Instead of using the matrix inversion formula, recursive QR decomposition ...

In this paper, we extend the well known QR-updating scheme to a similar but more versatile and generally applicable scheme for updating the singular value decomposition (SVD). This is done by supplementing the QR-updating with a Jacobi-type SVD procedure, where apparently only a few SVD steps after each QR-update su ce in order to restore an acceptable approximation for the SVD. This then resul...

Barcode technology is one of the most important parts of Automatic Identification and Data Capture (AIDC). Quick Response code (QR code) is one of the most popular types of two-dimensional barcodes. How to decode various QR code images efficiently and accurately is a challenge. In this paper, we revise the traditional decoding procedure by proposing a serial of carefully designed preprocessing ...

The need for scalable algorithms to solve least squares and eigenvalue problems is becoming increasingly important given the rising complexity of modern machines. We address this concern by presenting a new scalable QR factorization algorithm intended to accelerate these problems for rectangular matrices. Our contribution is a communication-avoiding distributed-memory parallelization of an exis...

At Eurocrypt ’02 Cramer and Shoup [7] proposed a general paradigm to construct practical public-key cryptosystems secure against the adaptive chosen ciphertext attack as well as several concrete examples. Using the construction, we present a new variant of the Cramer-Shoup encryption scheme, which is secure against the adaptive chosen ciphertext attack. Our variant is based on the problem relat...

We show how the QR algorithm can be restructured so that it becomes rich in operations that can achieve near-peak performance on a modern processor. The key is a novel algorithm for applying multiple sets of Givens rotations. We demonstrate the merits of this new QR algorithm for computing the Hermitian (symmetric) eigenvalue decomposition and singular value decomposition of dense matrices when...

In this work we present a formalization of the QR decomposition, an algorithm which decomposes a real matrix A in the product of another two matrices Q and R, where Q is an orthogonal matrix and R is invertible and upper triangular. The algorithm is useful for the least squares problem, i.e. the computation of the best approximation of an unsolvable system of linear equations. As a side-product...

The regulation of the circadian rhythm is relayed from the central nervous system to the periphery by melatonin, a hormone synthesized at night in the pineal gland. Besides two melatonin G-coupled receptors, mt(1) and MT(2), the existence of a novel putative melatonin receptor, MT(3), was hypothesized from the observation of a binding site in both central and peripheral hamster tissues with an ...

-This learning built-up a QR-based U-Learning Material Production System (QR-ULMPS) thathas lecturers with associate education tool to encourage level students listed in a very arts course. QR-ULMPS was specifically designed to support the event of u-learning materials and make an enticing context-aware u-learning settin analysis style g for college students. A quasi experimental was accustomed...

The main aim of the project is to propose a QR-based U-Learning Material Production System (QR-ULMPS) to develop context-aware u-learning environment during outdoor learning activities. As portability and mobility are necessary factors for an authentic outdoor learning experience, our QR-ULMPS needed to incorporate versatile mobile devices. With the help of word net tool and natural language pr...