Doctor thesis of Computer science

The document will be structured as follows: In Chapter 2 outline the methodology, discussing the computational techniques used to evaluate the interaction energies and evaluating the construction of the TT and D3(BJ) correction terms. Chapter 3 attempts to establish a foundational understanding of how these methods model vdW interactions by evaluating the performance of the corrected and uncorrected HF and DFT methods in comparison with CCSD(T) energies for a selection of inert gas dimers, and simple molecule-molecule interactions.

63p runthenight04 02-02-2023 9 2   Download

The thesis goal is to study on artificial intelligence, the methods and algorithms that have been applied, evaluating the limitations of the current methods in order to propose improved solutions, enhancing the efficiency and accuracy of AI applied in object detection.

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The thesis mainly aims to solve the following tasks: Firstly, the thesis extensively analyzes a wide range of existing approaches for the ME detection in scientific document images. Then, the thesis investigates and proposes novel methods to improve the detection accuracy of MEs. After enhancing the detection accuracy of MEs, the thesis investigates and pro poses a framework to improve the accuracy of the recognition of MEs in scientific document images.

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The thesis mainly aims to solve the following tasks: Firstly, the thesis extensively analyzes a wide range of existing approaches for the ME detection in scientific document images. Then, the thesis investigates and proposes novel methods to improve the detection accuracy of MEs. After enhancing the detection accuracy of MEs, the thesis investigates and pro poses a framework to improve the accuracy of the recognition of MEs in scientific document images.

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The research in this thesis follows two directions: The first, using high performance computing currently available, we studied atomic and molecular emissions in astrophysical environment. The radiative transfer model was applied to explain the characteristics of the recombination line masers Hnα in the envelope of the star MWC 349A.

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The objective of the thesis: Proposes filter-wrapper algorithms for fuzzy rough set based attribute reduction in decision tables to reduce the cardinality of reduct and increase significantly the classification accuracy.

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The propose a new method aiming to adjust the TXOP parameter according to a dynamic mechanism that suits the priority of each data type from the existing limitations with TXOP parameter in IEEE 802.11 EDCA; the propose a novel fuzzy logic approach for enhancing the fairness of low priority data flows in IEEE 802.11 EDCA.

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Research indexing method based on R-tree method to increase the efficiency of XPath queries on XML data, through intermediate data converted into numerical coordinates of tags; use the method of converting XML structured text data into numeric data that can be represented on 2-dimensional space (can be extended to many dimensions).

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Main points of thesis: Fabrication of the carbon nanotube based internal combustion engine oils; measurement, characterization of CNTs-based oils regarding their structures, physical, thermal, and electrical properties; heat dissipation modeling and thermal-conductivity computation of the carbon nanotube based internal combustion engine oils, and comparison with the experimental results.

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Research subjects of the thesis are ontology, inconsistent knowledge in ontologies and methods of processing inconsistent knowledge in ontologies. By analyzing research motivations, we address objectives of research for processing inconsistent in ontologies by the two tasks: querying andintegrating. In particularly, we restrict the objectives of research by three problems following: determine meaningful result for querying inconsistent ontology, resolving conflict of concept level in ontology integration, esolving conflict of axiom level in ontology integration.

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Research objectives: Building a method of granulating partitions of domain of interpretation in DLs. This method is base on bisimulation and using suitable selectors as well as information gain measure; proposing bisimulation-based concept learning algorithms for knowledge bases in DLs using Setting.

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Research objectives: Studying and evaluation of active queue management mechanisms to find out the advantages and disadvantages of each mechanism, in order to classify and evaluate application performance for mechanisms and using fuzzy logic to improve active queue management mechanism; the results of the first goals is to perform study motivation first and will be the foundation for the theory and simulation improvements of the thesis.

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Digital Television Applications Dissertation for the degree of Doctor of Science in Technology to be presented with due permission of Department of Computer Science and Engineering for public examination and debate in E-Hall, the Main Building of Helsinki University of Technology, Espoo, Finland, on the 15th of November, 2002, at 10 am o’clock. Studying development of interactive services for digital television is a leading edge area of work as there is minimal research or precedent to guide their design.

25p khinhkha 26-07-2010 127 13   Download