CHRISTOPHE GUYEUX

Prof. CHRISTOPHE GUYEUX

FEMTO-ST, UMR 6174 CNRS-UFC-ENSMM-UTBM
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2018 in Clinical Microbiology and Infection
Verified
Journal Article
Closed access
PTPanisa Treepong
Panisa Treepong
VKV.N. Kos
V.N. Kos
CHRISTOPHE GUYEUXCHRISTOPHE GUYEUX
CHRISTOPHE GUYEUX
DBDominique S. Blanc
Dominique S. Blanc
XBX. Bertrand
X. Bertrand
DHD. Hocquet
D. Hocquet

30 March 2016 in IEEE Transactions on Circuits and Systems I: Regular Papers
Verified
Journal Article
Closed access
QWQianxue Wang
Qianxue Wang
SYSimin Yu
Simin Yu
CLChengqing Li
Chengqing Li
JLJinhu Lu
Jinhu Lu
XFXiaole Fang
Xiaole Fang
JBJacques M. Bahi
Jacques M. Bahi
Traditionally, chaotic systems are built on the domain of infinite precision in mathematics. However, the quantization is inevitable for any digital devices, which causes dynamical degradation. To cope with this problem, many methods were proposed, such as perturbing chaotic states and cascading multiple chaotic systems. This paper aims at developing a novel methodology to design the higher-dimensional digital chaotic systems (HDDCS) in the domain of finite precision. The proposed system is based on the chaos generation strategy controlled by random sequences. It is proven to satisfy the Devaney's definition of chaos. Also, we calculate the Lyapunov exponents for HDDCS. The application of HDDCS in image encryption is demonstrated via FPGA platform. As each operation of HDDCS is executed in the same fixed precision, no quantization loss occurs. Therefore, it provides a perfect solution to the dynamical degradation of digital chaos.

1 May 2014 in Clinical Infectious Diseases
Verified
Journal Article
Open access
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CBCaroline Bréchet
Caroline Bréchet
JPJulie Plantin
Julie Plantin
MSMarlène Sauget
Marlène Sauget
MTMichelle Thouverez
Michelle Thouverez
DTDaniel Talon
Daniel Talon
XBXavier Bertrand
Xavier Bertrand
Background. The determinants of the spread of extended-spectrum β-lactamase–producing Escherichia coli (ESBLEC) in the community remain unclear. To evaluate its dissemination in the environment, we analyzed the ESBLEC population throughout an urban wastewater network. Methods. Samples were collected weekly, over a 10-week period, from 11 sites throughout the wastewater network of Besançon city (France). Total E. coli and ESBLEC loads were determined for each sample. As a control, we analyzed 51 clinical ESBLEC isolates collected at our hospital. We genotyped both environmental and clinical ESBLEC by pulsed-field gel electrophoresis and multilocus sequence typing and identified their blaESBL genes by sequencing. Results. The E. coli load was higher in urban wastewater than in hospital wastewater (7.5 × 105 vs 3.5 × 105 CFU/mL, respectively). ESBLEC was recovered from almost all the environmental samples and accounted for 0.3% of total E. coli in the untreated water upstream from the wastewater treatment plant (WWTP). The ESBLEC load was higher in hospital wastewater than in community wastewater (27 × 103 vs 0.8 × 103 CFU/mL, respectively). Treatment by the WWTP eliminated 98% and 94% of total E. coli and ESBLEC, respectively. The genotyping revealed considerable diversity within both environmental and clinical ESBLEC and the overrepresentation of some clonal complexes. Most of the sequence types displayed by the clinical isolates were also found in the environment. CTX-M enzymes were the most common enzymes whatever the origin of the isolates. Conclusions. The treatment at the WWTP led to the relative enrichment of ESBLEC. We estimated that >600 billion of ESBLEC are released into the river Doubs daily and the sludge produced by the WWTP, used as fertilizer, contains 2.6 × 105 ESBLEC per gram.

11 May 2015 in PLOS ONE
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Journal Article
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BVBenoît Valot
Benoît Valot
CHRISTOPHE GUYEUXCHRISTOPHE GUYEUX
CHRISTOPHE GUYEUX
JRJulien Yves Rolland
Julien Yves Rolland
KMKamel Mazouzi
Kamel Mazouzi
XBXavier Bertrand
Xavier Bertrand
DHDidier Hocquet
Didier Hocquet
Pseudomonas aeruginosa is an opportunistic bacterial pathogen able to thrive in highly diverse ecological niches and to infect compromised patients. Its genome exhibits a mosaic structure composed of a core genome into which accessory genes are inserted en bloc at specific sites. The size and the content of the core genome are open for debate as their estimation depends on the set of genomes considered and the pipeline of gene detection and clustering. Here, we redefined the size and the content of the core genome of P. aeruginosa from fully re-analyzed genomes of 17 reference strains. After the optimization of gene detection and clustering parameters, the core genome was defined at 5,233 orthologs, which represented ~ 88% of the average genome. Extrapolation indicated that our panel was suitable to estimate the core genome that will remain constant even if new genomes are added. The core genome contained resistance determinants to the major antibiotic families as well as most metabolic, respiratory, and virulence genes. Although some virulence genes were accessory, they often related to conserved biological functions. Long-standing prophage elements were subjected to a genetic drift to eventually display a G+C content as higher as that of the core genome. This contrasts with the low G+C content of highly conserved ribosomal genes. The conservation of metabolic and respiratory genes could guarantee the ability of the species to thrive on a variety of carbon sources for energy in aerobiosis and anaerobiosis. Virtually all the strains, of environmental or clinical origin, have the complete toolkit to become resistant to the major antipseudomonal compounds and possess basic pathogenic mechanisms to infect humans. The knowledge of the genes shared by the majority of the P. aeruginosa isolates is a prerequisite for designing effective therapeutics to combat the wide variety of human infections.

1 February 2018 in Computer Science Review
Verified
Journal Article
Closed access
BMBakiri Mohammed
Bakiri Mohammed
CHRISTOPHE GUYEUXCHRISTOPHE GUYEUX
CHRISTOPHE GUYEUX
JCJean-François Couchot
Jean-François Couchot
AOAbdelkrim Kamel Oudjida
Abdelkrim Kamel Oudjida

8 January 2024 in Journal of Imaging
Verified
Journal Article
Open access
PDF file
WAWissam Basim AlKendi
Wissam Basim AlKendi
Franck GechterFranck Gechter
Franck Gechter
LHLaurent Heyberger
Laurent Heyberger
CHRISTOPHE GUYEUXCHRISTOPHE GUYEUX
CHRISTOPHE GUYEUX
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in different kinds of archives. In this study, we introduce a hybrid form archive written in French: the Belfort civil registers of births. The digitization of these historical documents is challenging due to their unique characteristics such as writing style variations, overlapped characters and words, and marginal annotations. The objective of this survey paper is to summarize research on handwritten text documents and provide research directions toward effectively transcribing this French dataset. To achieve this goal, we presented a brief survey of several modern and historical HTR offline systems of different international languages, and the top state-of-the-art contributions reported of the French language specifically. The survey classifies the HTR systems based on techniques employed, datasets used, publication years, and the level of recognition. Furthermore, an analysis of the systems’ accuracies is presented, highlighting the best-performing approach. We have also showcased the performance of some HTR commercial systems. In addition, this paper presents a summarization of the HTR datasets that publicly available, especially those identified as benchmark datasets in the International Conference on Document Analysis and Recognition (ICDAR) and the International Conference on Frontiers in Handwriting Recognition (ICFHR) competitions. This paper, therefore, presents updated state-of-the-art research in HTR and highlights new directions in the research field.