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Brno University of Technology

1. Pála, Matěj. Robotické zakládání do obráběcího stroje .

Degree: 2019, Brno University of Technology

Diplomová práce se zaobírá problematikou zakládání a přesunu různých obrobků a profilů. V první části je uvedeno rozdělení robotů, popis jejich kinematiky i samotného zakládání. Druhá část práce se zaobírá analýzou a rešerší možností komunikace řídicí jednotky B&R s robotem firmy ABB, včetně popisu zařízení na pracovišti. Dále je představen návrh koncepce programu řízení robota a také způsob řízení komunikace mezi jednotkami. Na konci práce je uvedeno testování a ověřování zmíněného konceptu.; Master’s thesis deals with the process of an insertion and movement of different workpieces and profiles. In the first, theoretical, part, the definition of types of robots and description of their kinematics are presented. The second part deals with the analysis and research of the possibilities of communication between the B&R control unit and the ABB robot, including a description of the equipment in the workplace. In addition, the concept of the robot control program and mainly the management of communication between units are presented. At the end of the work is the description of testing and verification of the concept. Advisors/Committee Members: Pivoňka, Petr (advisor).

Subjects/Keywords: Robotické zakládání; B&R APC; ABB Robot; B&R Automation; Automation Studio V4; Robotic insertion; B&R APC; ABB Robot; B&R Automation; Automation Studio V4

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pála, M. (2019). Robotické zakládání do obráběcího stroje . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177740

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pála, Matěj. “Robotické zakládání do obráběcího stroje .” 2019. Thesis, Brno University of Technology. Accessed April 07, 2020. http://hdl.handle.net/11012/177740.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pála, Matěj. “Robotické zakládání do obráběcího stroje .” 2019. Web. 07 Apr 2020.

Vancouver:

Pála M. Robotické zakládání do obráběcího stroje . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Apr 07]. Available from: http://hdl.handle.net/11012/177740.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pála M. Robotické zakládání do obráběcího stroje . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177740

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Melbourne

2. Wan, Yu. Detecting horizontal co-transfer of antimicrobial resistance genes in bacteria: a network approach.

Degree: 2019, University of Melbourne

Antimicrobials have been widely using as a major resource to treat bacterial infections for almost a century. However, it is not unusual to see antimicrobial resistance emerges in a bacterial species due to natural selection under the usage of antimicrobials. Moreover, numerous studies show that bacteria can accumulate genes encoding resistance to different classes of antimicrobials and share them with other bacteria regardless of ancestry via a biological process called horizontal gene transfer, causing emergence and fast transmission of multidrug resistance. As such, antimicrobial resistance becomes an urgent and global threat to public health, pushing us backwards to the pre-antimicrobial era. In this thesis, I focus on horizontal co-transfer of resistance genes between bacteria of the same species, which is usually caused by co-localisation of resistance genes in mobile genetic elements, also known as physical linkage between these genes. This kind of linkage plays a pivotal role in the evolution of multidrug resistance, because the mobile elements can translocate, recombine and aggregate, rapidly rendering their host bacteria resistant to a wide spectrum of antimicrobials. By far there is nonetheless not an approach identifying horizontally co-transferred genes in a single bacterial species. Yet most authors of literature reported a few co-mobilised resistance genes each time following biological experiments, and some researchers only applied simple association analysis to representative bacterial isolates of distinct species so as to minimise the possibility that a specific combination of genes is inherited from their most-recent common ancestor. In contrast, intra-species association analysis is severely confounded by strong sample relatedness because of bacterial clonal reproduction. This obstacle leaves a gap between the known high frequency of intra-species horizontal gene transfer and our understandings of this process. This thesis presents a scalable computational approach that uses whole-genome sequencing data to identify co-transferred antimicrobial resistance genes in bacteria collected in a few decades from the same species. Moreover, it demonstrates applications of the approach to three clinically important pathogens and reports key players, patterns and dynamics underlying the horizontal co-transfer of resistance genes within each species. In the first chapter, I provide a background to antimicrobial resistance, horizontal gene transfer, whole-genome sequencing and contemporary bioinformatic techniques. I also summarise outcomes of horizontal gene co-transfer for characteristics that we can utilise for inference of physical linkage. Finally, I compare several statistical approaches determining pairwise association between presence-absence status of genes or alleles in bacteria to justify the necessity of controlling for sample relatedness in association analysis. For the second chapter, I derived a methodology inferring co-transferred genes by integrating gene detection, de novo genome…

Subjects/Keywords: antimicrobial resistance; multidrug resistance; horizontal gene transfer; bacterial pathogen; Escherichia coli; Salmonella enterica; Salmonella Typhimurium; Klebsiella pneumoniae; acquired resistance; computational biology; R package; bacterial genomics; population structure; genetic co-transfer; network analysis; spatiotemporal analysis; dynamic network; association network; network approach; co-occurrence network; genetic co-occurrence; phylogenetic signal; bacterial population; association analysis; computational genomics; population genetics; dissemination of antimicrobial resistance; public health; physical linkage; whole-genome sequencing; mobile genetic element; integron; transposon; plasmid; insertion sequence; mobile gene; lateral gene transfer; phylogeny; phylogenetic reconstruction; phylogenetic signal; linear mixed model; logistic regression; penalised logistic regression; correction for population structure; GeneMates; bioinformatics; DNA sequence; genetic structure

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wan, Y. (2019). Detecting horizontal co-transfer of antimicrobial resistance genes in bacteria: a network approach. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/227074

Chicago Manual of Style (16th Edition):

Wan, Yu. “Detecting horizontal co-transfer of antimicrobial resistance genes in bacteria: a network approach.” 2019. Doctoral Dissertation, University of Melbourne. Accessed April 07, 2020. http://hdl.handle.net/11343/227074.

MLA Handbook (7th Edition):

Wan, Yu. “Detecting horizontal co-transfer of antimicrobial resistance genes in bacteria: a network approach.” 2019. Web. 07 Apr 2020.

Vancouver:

Wan Y. Detecting horizontal co-transfer of antimicrobial resistance genes in bacteria: a network approach. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Apr 07]. Available from: http://hdl.handle.net/11343/227074.

Council of Science Editors:

Wan Y. Detecting horizontal co-transfer of antimicrobial resistance genes in bacteria: a network approach. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/227074

.