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In this study, we introduce the development of hyperbox classifier with hierarchical two-level granular structure, namely set (interval) and fuzzy set in dealing with a description of geometry of patterns belonging to a certain category. We take advantage of the capabilities of sets when describing a core structure of classes of patterns in the form of some hyperboxes. Their combinations are referred...
In this study, we introduce neural network recognizer based on fuzzy rules and fuzzy inference. The use of neural networks is proposed for efficient implementation of the fuzzy inference and the neural network is a trainable device consisting of some fuzzy rules and three processes, namely, premise, consequence and fuzzy inference processes. The premise process is driven by fuzzy c-means and the consequence...
In order to develop reliable on-site partial discharge (PD) pattern recognition algorithm, the fuzzy inference-based polynomial network pattern classifier (PNC), one of the fuzzy-neural networks, was investigated. This algorithm was designed and tested using PD data measured from laboratory defect models. Considering the on-site situation in which it is difficult to obtain voltage phases in PRPDA...
Rapid prototyping allows for evaluation of design product in a short period of time. Designers or CEOs may perceive the size and appearance of the product by touching the automatically constructed physical objects produced through rapid prototyping. However, it is usually impossible to change its color, texture, and user interface. In this paper, we introduce 'Augmented Reality based Re-formable Mock-up',...
In order to develop reliable on-site partial discharge (PD) pattern recognition algorithm, the fuzzy set-based fuzzy neural network (FNN) was investigated and designed. Using PD data measured from laboratory defect models, this algorithm was designed and tested. Considering the on-site situation where it is not easy to obtain voltage phases in PRPDA (phase resolved partial discharge analysis), the...
An efficient ID recognition method is described that uses blinking patterns of an infrared light emitting diode (IR-LED) and a camera with variable frame rates. The method provides real-time synchronization of simple communication and high applicability and efficiency with its compact design in many cases. We focused on analyzing the blinking patterns of infrared light using an inexpensive web camera...
As the number of biological literatures grows exponentially, needs for text mining system are increased. In text mining area, normalization is mapping gene/protein names to a database. It is necessary to combine extracted information from various literatures and to curate a database or an ontology using literatures. Previous normalization researches used direct comparison methods between a database...
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