Master of Philosophy (M.Phil.)
http://dl.lib.uom.lk/handle/123/18721
2024-03-29T08:33:01ZHigh-performance multimodal approach for defect identification in knitted and woven fabric
http://dl.lib.uom.lk/handle/123/21407
High-performance multimodal approach for defect identification in knitted and woven fabric
Pallemulla PSH
Fabric inspection is a key quality assurance process in the garment industry as it
involves the detection of defects in a fabric roll prior to being sent for production.
Many studies have been conducted on defect identification in either knitted or
woven fabrics, but only a few have considered both types. In this paper, a method
for detecting defects in both knitted and woven fabrics is proposed. The method
involves extracting co-occurrence, wavelet and local entropy features from a fabric
image and classifying the image as defective or defect-free using a classifier
with these features given as input. Five commonly-used classifiers were tested.
This method was applied to a dataset with seventeen different types of defects
and an overall classification accuracy of 93.31% was achieved by the k-nearest
neighbours classifier.
2022-01-01T00:00:00ZInvestigation and development of fuzzy logic based analytics for data warehousing
http://dl.lib.uom.lk/handle/123/21406
Investigation and development of fuzzy logic based analytics for data warehousing
Asanka PPGD
Data warehouse is a widely used technology that provides the employees who take strategic
decisions within an enterprise with access to any level of required data. Historically, data
warehouses were built on crisp values with a key assumption that one attribute value falls into
one nominal value. Fuzzy Logic can be built into the data warehouse by treating the dimension
value as weightages of different labels. However, in most of the attempts to implement a fuzzy
data warehouse, they were limited and non-comprehensive in the implementation when
considering end to end aspects of the data warehouse.
Using fuzzy techniques, it is possible to represent fuzzy conceptual information in the original
domain, that would lead to better analysis. In this research, different types of fuzzy membership
functions are defined using different techniques and data warehouse facts and dimensions are
designed accordingly. There can be multiple fuzzy functions for one dimension as well as for
one fact table depending on the business domain. Apart from defining fuzzy membership
function using data-driven methods, there are other approaches of defining fuzzy membership
functions such as a derived method where multiple fuzzy memberships are combined to define
several fuzzy membership functions. In the literature reviewed, concepts like ETL and OLAP
cube were found to be discussed in a limited manner. Non-function techniques are also
identified and addressed in the means of validation, configuration, performance, security,
scalability in order to make better usability of the fuzzy data warehouse.
The scope of this research revolves around end-to-end features of fuzzy data warehousing
starting from data extraction and transformation to data warehouse modeling. Implementing a
fuzzy data warehouse, helps to enable users with better analyses. To verify whether the
proposed fuzzy data warehouse can be applied, a feasibility study is carried out for the domains
in which fuzzy data warehousing can be implemented. Concepts related to the outcome from
this research are verified with the use of a Sri Lankan plantation data set for four years. The
results show that concepts introduced by this research can be implemented in realistic
scenarios.
2021-01-01T00:00:00ZTraceability management in a devops environment with continuous integration
http://dl.lib.uom.lk/handle/123/16052
Traceability management in a devops environment with continuous integration
Rubasinghe ID
Software artefacts traceability is an important factor during the process of software development to analyse changes occur in software components. Traceability improves the quality attributes of software systems such that strengthens the testability, maintainability, reusability and helps for the system acceptance by providing consistent system documentation to the users. Meanwhile, the concept DevOps motivates towards the reduction of the gap between development and operations requiring considerable organizational changes. In a DevOps environment, significant software artefact changes are expectable rapidly where continuous integration is essential. Continuous integration is a cornerstone practice in DevOps that frequently merges developer working copies into a single shared branch. There is a requirement of determining and analysing the resulted impact of the traceability in order to make accurate change acceptance decisions during software development. Therefore, the core research problem addressed is determining a methodology for change detection and impact analysis together with software artefact synchronization to preserve consistency across all artefacts in a DevOps environment. A rule-based methodology is followed with visualization and analysis techniques applied on a proof-of-work traceability management prototype tool: SAT-Analyser 2.0. The evaluation results and industry-level user study results have shown the significant usefulness and suitability of the approach to a DevOps environment as well as to any software development process model.
2019-01-01T00:00:00ZMultimodal user interaction framework for context aware e-commerce
http://dl.lib.uom.lk/handle/123/16051
Multimodal user interaction framework for context aware e-commerce
Hewawalpita SGS
E-commerce has grown up to be a major use of e-services and online purchases through the e-commerce are largely preferred over the traditional brick and mortar purchasing. Yet it is challenging for the consumers to fully experience the products or services with limited senses, lack of tangibility and sense of presence. Therefore a vital research question can be identified; how multimodal interactions can be used in e-commerce with context awareness, to improve the consumer experience.
To address that question, this research aimed to study multimodal interactions, contextual factors and their effects on consumers. A set of multimodal interactions including 3D visualization and hand gestures and related contextual factors such as user, access device were identified in this research. They have been used to develop a multimodal interactions enabled prototype e-commerce framework.
Several experiments and user studies have been conducted using the developed e-commerce framework and interesting effects on consumers have been discovered including positive user experience, improved value perceptions, and positive product opinions. Most importantly it has been shown that consumers perceive about 50% increased product value, and they are more likely to purchase when interacted multimodally. Usability Evaluations on the framework showed that users are mostly successful and comfortable in using multimodal interactions. Some technical, social and cultural barriers and challenges for enabling multimodal interactions were also revealed in those evaluations.
From the findings of this research, it is suggested that further research focus should be on overcoming the identified technical, social and cultural barriers and bringing multimodal interactions to mass usage in electronic commerce platforms. Also the multimodal interactive e-commerce framework developed in this research can be used as platform to further study consumer dynamics by changing various variables.
2019-01-01T00:00:00Z