Development of a semi-automatic self learning pattern recognition system for the control of electronic boards

This project was funded under the Applied Research Grants Scheme administered by Enterprise Ireland. The project was a partnership between Galway - Mayo Institute of Technology and an industrial company, Tyco/Mallinckrodt Galway. The project aimed to develop a semi - automatic, self - learning pattern recognition system capable of detecting defects on the printed circuits boards such as component vacancy, component misalignment, component orientation, component error, and component weld. The research was conducted in three directions: image acquisition, image filtering/recognition and software development. Image acquisition studied the process of forming and digitizing images and some fundamental aspects regarding the human visual perception. The importance of choosing the right camera and illumination system for a certain type of problem has been highlighted. Probably the most important step towards image recognition is image filtering, The filters are used to correct and enhance images in order to prepare them for recognition. Convolution, histogram equalisation, filters based on Boolean mathematics, noise reduction, edge detection, geometrical filters, cross-correlation filters and image compression are some examples of the filters that have been studied and successfully implemented in the software application. The software application developed during the research is customized in order to meet the requirements of the industrial partner. The application is able to analyze pictures, perform the filtering, build libraries, process images and generate log files. It incorporates most of the filters studied and together with the illumination system and the camera it provides a fully integrated framework able to analyze defects on printed circuit boards.

Efficient similarity-based operations for data integration

Similarity-based operations, similarity join, similarity grouping, data integration

SQL based frequent pattern mining

Data mining, frequent pattern mining, database mining, mining algorithms in SQL

Walking Tree - Organisation neuer Forschung in der Wissenschaft : Zusammenarbeit zwischen Integration und Differenzierung

Magdeburg, Univ., Fak. für Geistes-, Sozial- und Erziehungswiss., Diss., 2011

Stimulus-, aufgaben- und aufmerksamkeitsrelatierte Determinanten audiovisueller Integration

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2011

Aufnahme von Flüchtlingen und Vertriebenen sowie Aspekte und Bestrebungen ihrer Eingliederung/Integration im Kreis Salzwedel 1945 bis 1948/49

Flight and displacement, Research about displaced people, Displaced people in Saxony- Anhalt and in the district of Salzwedel, Arrival and reception, Integration into social life, Administrative activities, Housing, Integration into the labour market, Social welfare activities

Advancing the understanding of brain function with multivariate pattern analysis

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2009

Integration of appetitive and aversive reinforcers and the neuromodulation of reward seeking and pain avoidance

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2010

Zwischen Isolation, Anpassung und räumlicher Mobilität : eine Untersuchung zur Integration von Binnenwanderern in Deutschland

Magdeburg, Univ., Fak. für Geistes-, Sozial- und Erziehungswiss., Diss., 2011

Statistical pattern recognition for audio-forensics : empirical investigations on the application scenarios audio steganalysis and microphone forensics

Magdeburg, Univ., Fak. für Informatik, Diss., 2013

Citation-based Plagiarism Detection : applying citation pattern analysis to identify currently non-machine-detectible disguised plagiarism in scientific publications

Magdeburg, Univ., Fak. für Informatik, Diss., 2013

Minimal-invasive provenance integration into data-intensive systems

Magdeburg, Univ., Fak. für Informatik, Diss., 2014

Wege zur Integration von Intelligenten Messsystemen in eine ERP Branchenlösung für Energieversorger

[s.c.]

Spatio-temporal pattern formation in microemulsions under different physical and chemical conditions

Otto-von-Guericke-Universität Magdeburg, Fakultät für Naturwissenschaften, Dissertation, 2016

Ontogenetic variation of plastral spotting pattern in Phrynops hilarii (Testudines, Chelidae)

The plastral spotting variation in the chelid turtle Phrynops hilarii (Duméril & Bibron, 1835) in relation to sex, size, and geographic procedence of individuals was analyzed. States for qualitative characters were analyzed using non-parametric tests. Quantitative characters (shell and scute measurements) were standardized for body size by linear regression against carapace length, and were subjected to principal components analysis and canonical discriminant function analysis. Results suggest that increased plastral spotting is a polymorphic ontogenetic trait in P. hilarii. Neither hatchlings nor juveniles have plastral pattern moderately or heavily pigmented. The simplest pattern, however, may persist without changes in some adults. There are no differences between sexes. The spatial distribution of the plastral pattern is not ordered latitudinally or longitudinally, showing no relationship with gradients of elevation, temperature, or precipitation. This pattern trait lacks of taxonomic significance. The morphometric analysis failed to reveal any character of diagnostic utility in the plastron to support the possibility that these patterns correspond to different sympatric taxa.