Physical Sciences and Mathematics Commons^™

Business Intelligence Trends: A Review Of Mobile Business Intelligence, Shanika Edirisinghe

Articles

The early stages of Decision Support Systems evolved with the technological improvements and availability of massive amounts of data. The concept of Business Intelligence became apparent along with this evolution which incorporates a range of fields and supports decision making in business organizations. Mobile business intelligence is a popular trend in the domain of business intelligence at present. Business organizations employ mobile business intelligence as an extension to the existing business intelligence systems. This study intends to present a review of mobile business intelligence while addressing its benefits, challenges, and limitations. Moreover, this study provides details of several use cases …

A Life Cycle Assessment Of Emissions Reduction Potential In The Existing Irish Housing Stock: A Perspective Of International And Domestic Sources, Albert Famuyibo, Aidan Duffy, Paul Strachan

Conference Papers

As the volume of imported materials increases, the magnitude of the imported environmental impacts becomes a greater factor in the energy demand and related CO₂ emissions from the residential sector. As supply chains of goods within the global arena expands across country and region, domestic consumption of imported goods results in CO₂ emissions in countries of production. Given that these emissions are attributable to countries of import, directing information towards environmental policy experts on a complete view of total emissions of retrofitting along international and domestic sources will have an impact on decision making, and for the first …

An Optical Machine Vision System For Applications In Cytopathology, Jonathan Blackledge, Dmitry Dubovitskiy

Articles

This paper discusses a new approach to the processes of object detection, recognition and classification in a digital image focusing on problem in Cytopathology. A unique self learning procedure is presented in order to incorporate expert knowledge. The classification method is based on the application of a set of features which includes fractal parameters such as the Lacunarity and Fourier dimension. Thus, the approach includes the characterisation of an object in terms of its fractal properties and texture characteristics. The principal issues associated with object recognition are presented which include the basic model and segmentation algorithms. The self-learning procedure for …

Object Detection And Classification With Applications To Skin Cancer Screening, Jonathan Blackledge, Dmitryi Dubovitskiy

Articles

This paper discusses a new approach to the processes of object detection, recognition and classification in a digital image. The classification method is based on the application of a set of features which include fractal parameters such as the Lacunarity and Fractal Dimension. Thus, the approach used, incorporates the characterisation of an object in terms of its texture.

The principal issues associated with object recognition are presented which includes two novel fast segmentation algorithms for which C++ code is provided. The self-learning procedure for designing a decision making engine using fuzzy logic and membership function theory is also presented and …