Search for dissertations about: "accuracy of the machine"
Showing result 1 - 5 of 299 swedish dissertations containing the words accuracy of the machine.
-
1. Decisional-Emotional Support System for a Synthetic Agent : Influence of Emotions in Decision-Making Toward the Participation of Automata in Society
Abstract : Emotion influences our actions, and this means that emotion has subjective decision value. Emotions, properly interpreted and understood, of those affected by decisions provide feedback to actions and, as such, serve as a basis for decisions. READ MORE
-
2. MaltParser -- An Architecture for Inductive Labeled Dependency Parsing
Abstract : This licentiate thesis presents a software architecture for inductive labeled dependency parsing of unrestricted natural language text, which achieves a strict modularization of parsing algorithm, feature model and learning method such that these parameters can be varied independently. The architecture is based on the theoretical framework of inductive dependency parsing by Nivre \citeyear{nivre06c} and has been realized in MaltParser, a system that supports several parsing algorithms and learning methods, for which complex feature models can be defined in a special description language. READ MORE
-
3. Performance Evaluation of machine tools : A methodology for loaded testing of machine tools
Abstract : Machine tools comprise the basic elements of manufacturing. Evaluationof their performance and reliability are necessary for ensuring productquality. READ MORE
-
4. Physics-based modelling and measurement of advanced manufacturing machinery’s positioning accuracy : Machine tools, industrial manipulators and their positioning accuracy
Abstract : Advanced manufacturing machinery is a corner stone of essential industries of technologicallydeveloped societies. Their accuracy permits the production of complexproducts according to tight geometric dimensions and tolerances for high efficiency,interchangeability and sustainability. READ MORE
-
5. Objective Assessment of Loose Gravel Condition using Machine Learning with Audio-visual Observation
Abstract : A well-maintained road network is essential for sustainable economic development, providing vital transportation routes for goods and services while connecting communities. Sweden's public road network includes a significant portion of gravel roads, particularly cost-effective for less populated areas with lower traffic volumes. READ MORE