Andrzej Tuchołka

• Doctor of Engineering
• Koszalin University of Technology

Proposed method allows for early detection of mistakes in designs of mechanical constructions. It is based on a numerical classification of a symbolic representation of construction’s features against a set of defined antipatterns (known, incorrect, repeatable data patterns). We present an approach to identify antipatterns described using a symboli...

Authors propose a method to classify the antipatterns, allowing their further definition for manual and automatic usage. We apply antipatterns in quality assessment as a negative quality reference. This enables counting and measuring similarity to predictable errors (antipatterns), automatic identification of erroneous structures found in mechanica...

Taking gearbox as a reference structure, authors apply a method for grading the quality of mechanical structures using a convolutional neural network trained with antipatterns found in gearbox constructions. Antipatterns are used as a quality reference embodied in a neural network, which is used for classifying tested structures to match the antipa...

Authors present the comparison of properties observed in numerical models, that were used to classify features of mechanical constructions. We use these models to detect similarities between mechanical designs and compare them on how well they quantify the description of the mechanical elements, and how they deal with arising challenges: multi-dime...

Autorzy przedstawiają metodę opisu konstrukcji, pozwalającą na przetwarzanie konstrukcji z użyciem metod numerycznych, inteligentnych procedur analitycznych i optymalizacyjnych. Proponowana struktura zapisu umożliwia zwięzłą, symboliczną reprezentację konstrukcji. Autorzy przedstawiają metody analizy i reprezentacji cech konstrukcji, relacji występ...

Authors propose a method of normalizing and analyzing structures, enabling automated cross-comparison of features observed in tested structures against predefined ones (both correct and incorrect reference elements). Application of this method, enables usage of numerical methods and neural networks for rapid classification of elements, while mainta...

Authors propose a method of normalizing and analyzing structures, which enables automated cross-comparison of features observed in tested structures with: predefined structures and anti-patterns. Additionally, a language, enabling symbolic representation of structural knowledge is presented, and used in the demonstration of the proposed method appl...

Web applications are becoming more feature rich and ever more ubiquitous, while trying to address the needs of millions of users. Server-side scalability and performance are a serious matter as farms are unceasingly expanding for high growth sites. User Interface designers are looking for novel approaches to stimulate user engagement which results...