Adam Podhorski

• PhD
• Professor (Assistant) at Universidad de Navarra

We present a mathematical model for agri-food industry residual streams flow management, which serves as a decision support tool for optimizing their valorization. The aim is to determine, under a cost-benefit analysis approach, the best strategy at a global level. The proposed mathematical model provides the optimal valorization scenario, namely t...

The objective quantification of voice acoustic parameters is used for the diagnosis, monitoring, and treatment of voice disorders. Such assessments are carried out with specialised equipment within the doctor’s office. The controlled conditions employed are usually not those of the real environment of the patient. The results, although very informa...

Purpose There are many physiological parameters recorded by devices that are becoming more affordable, precise and accurate. However, the lack of development in the recording of voice parameters from the physiological or medical point of view is striking, given that it is a fundamental tool for the work of many people and given the high incidence a...

This paper presents the implementation of an Angle of Arrival (AoA) estimation algorithm using FPGA technology as a part of a Smart Train Positioning System (STPS). The STPS takes advantage of the combination of different technologies and techniques, such as GNSS and the AoA of the GSM-R signals, to determine the real time train position. Furthermo...

The current process of putting ETCS equipment in service is affected by the testing process and laboratory procedures. This paper deals with two novel laboratory tools that the EATS project (FP7-TRANSPORT-314219) has produced in order to overcome some of the problems those processes show and advance towards the “Zero On-Site Testing” paradigm. On t...

This paper presents the implementation and validation of a complete AoA (Angle of Arrival) system. The AoA system is typically used together with smart antenna technology. In this paper the AoA system is part of a mobile wireless communication positioning system. The implementation includes the array antenna, the front ends and the AoA estimation b...

Available ETCS equipment suffered from a long process before being put into service, due to inconsistencies in the specifications and the inability of the laboratory certification procedures to completely address all the needs of the system testing. To overcome those problems, this paper presents a novel ETCS Testing Laboratory, which will help in...

Motivation: The analysis of high-throughput molecular data in the context of metabolic pathways is essential to uncover their underlying functional structure. Among different metabolic pathway concepts in systems biology, elementary flux modes (EFMs) hold a predominant place, as they naturally capture the complexity and plasticity of cellular metab...

In the present paper we derive a formula for the geometric minimum mean square error (GMMSE) for one-sided and two-sided finite-length vector linear predictors. This formula is written only in terms of the autocorrelation matrix of the vector process being predicted. We also obtain a formula for the GMMSE for one-sided and two-sided infinite-length...

In the present paper we compute the geometric minimum mean square error for the vector linear estimation problem. We do this by proving that the vector linear estimator that minimizes the mean square error (MSE) also minimizes the geometric MSE. Keywords: minimum mean square error (MMSE), vector linear esti-mation, vector linear interpolation, vect...

The reconstruction of metabolic networks at the genome scale has allowed the analysis of metabolic pathways at an unprecedented level of complexity. Elementary flux modes (EFMs) are an appropriate concept for such analysis. However, their number grows in a combinatorial fashion as the size of the metabolic network increases, which renders the appli...

Elementary flux modes (EFMs) represent a key concept to analyze metabolic networks from a pathway-oriented perspective. In spite of considerable work in this field, the computation of the full set of elementary flux modes in large-scale metabolic networks still constitutes a challenging issue due to its underlying combinatorial complexity. In this...

We have integrated gene expression profiling of liver biopsies of NASH patients with liver samples of a mouse model of steatohepatitis (MAT1A-KO) to identify a gene-pathway associated with NASH. Affymetrix U133 Plus 2.0 microarrays were used to evaluate nine patients with NASH, six patients with steatosis, and six control subjects; Affymetrix MOE43...

Genomic and proteomic analyses generate a massive amount of data that requires specific bioinformatic tools for its management and interpretation. GARBAN II, developed from the previous GARBAN platform, provides an integrated framework to simultaneously analyse and compare multiple datasets from DNA microarrays and proteomic studies. The general ar...

This research analyzes some aspects of the relationship between gene expression, gene function, and gene annotation. Many recent studies are implicitly based on the assumption that gene products that are biologically and functionally related would maintain this similarity both in their expression profiles as well as in their Gene Ontology (GO) anno...

Genomic Analysis and Rapid Biological ANnotation (GARBAN) is a new tool that provides an integrated framework to analyze simultaneously and compare multiple data sets derived from microarray or proteomic experiments. It carries out automated classifications of genes or proteins according to the criteria of the Gene Ontology Consortium at a level of...

In this paper we present a non-parametric approach to solving the helium speech problem. Properties of helium speech are replaced by those pertaining to normal speech by means of codebook mapping of spectral envelopes. This method eliminates the drawbacks inherent in the previous procedures of helium speech unscrambling as it requires neither model...

Previous attempts to solving helium speech problem were oriented towards development of a helium speech production model. The aim was to obtain straightforward transformations which could be applied to helium speech, or its parametric representation, in order to obtain normal speech. However it has never been investigated if the poor quality of the...