Market segmentation is a multicriterion problem. This dissertation addresses the multicriterion nature of market segmentation with a new unified segmentation model that is derived from a multiobjective conceptual framework. The unified model elegantly solves the intrinsic antagonistic problem of market segmentation by generating a set of Pareto optimal solutions that represent different tradeoffs among multiple conflicting objectives. This dissertation develops an innovative implementation named Multicriterion Market Segmentation using Evolutionary Algorithm (MMSEA). Based on multiobjective...
Market segmentation is a multicriterion problem. This dissertation addresses the multicriterion nature of market segmentation with a new unified segme...
In this research, parametric software cost estimation models and their related calibration methods have been analyzed, especially for the COCOMO model and the Bayesian calibration approach. This research combines machine learning techniques and statistical techniques. With this approach, the prediction powers of the COCOMO parametric software cost model are shown to be significantly improved while the variability is decreased with respect to the dataset being analyzed. This research studies not only the accuracy but also the variances of the model and the variables. It can improve the...
In this research, parametric software cost estimation models and their related calibration methods have been analyzed, especially for the COCOMO model...
The main objective of the dissertation is to present work describing theoretical studies of planar structures with erbium doped regions and characterization of erbium doped particles. Numerical models of erbium doped Al2O3 were formulated, taking into account the up-conversion from the metastable Er3+ levels and the cross-relaxation process as a mechanism of energy transfer between Er3+ ions. The influence of amplified spontaneous emission (ASE) is also fully considered in the numerical model. The first part of this research investigates the effects of design geometries and nonlinear losses...
The main objective of the dissertation is to present work describing theoretical studies of planar structures with erbium doped regions and characteri...
The field of electronic surveillance has matured significantly over the past 2 decades, fuelled by the growth of safety and security concerns around the world. Surveillance cameras are being used for a wide variety of applications from national security to securing the home. Video analytics, also called intelligent video surveillance, is a technology that uses software to automatically identify specific objects, behaviours or attitudes in video footage. It transforms the video into data to be transmitted or archived so that the video surveillance system can act accordingly. It may involve...
The field of electronic surveillance has matured significantly over the past 2 decades, fuelled by the growth of safety and security concerns around t...
Current there are no products that provide the flexibility and interoperability required in dynamic assembly and coordination of services, which commonly involve massively distributed components, legacy systems, and diverse technologies. Moreover, none of them fully integrates process logic with decision logic. Nor do they take into account the local autonomies and address the need for distributed decision making in service composition and orchestration. The demand for the system is to deliver demand driven, integrated, and personalized services through dynamic service creation and...
Current there are no products that provide the flexibility and interoperability required in dynamic assembly and coordination of services, which commo...
