This paper deals with the security of iterated hash functions against generic attacks, such as, e.g., Joux’ multicollision attacks from Crypto 04 [6]. The core idea is to increase the size of the internal state of an n-bit hash function to w > n bit. Variations of this core idea allow the use of a compression function with n output bits, even if the compression function itself is based on a blo...

This paper reviews global-local prior distributions for Bayesian inference in high-dimensional regression problems including important properties of priors and efficient Markov chain Monte Carlo methods inference. A chemometric example drug discovery is used to compare the predictive performance these with popular such as Ridge LASSO regression.

Changes in colors of an array of optical sensors that responds in full pH range were recorded using a CCD camera. The data of the camera were transferred to the computer through a capture card. Simple software was written to read the specific color of each sensor. In order to associate sensor array responses with pH values, a number of different mathematics and chemometrics methods were investi...

this paper describes a study of operational parameters by using the multivariate data analysis and neural networks for a municipal waste incinerator located in majorca (spain). the basis of the study also includes the chemometric techniques: linear multivariate regression to develop a model with certain predictive capabilities; linear principal component analysis, which allow the number of vari...

Two non-specific sequential extraction methods utilising chemometric data processing (chemometric identification of substrates and element distribution, CISED) have been developed used to determine the physico-chemical partitioning potentially harmful elements (PHE) in certified reference material BCR CRM 701 (lake sediment). A miniaturized centrifugation method which sample was extracted on a ...