Improving savonius marine current turbine
Also available in printed version : TK7882.P3 A924 2009 raf
| Main Author: | |
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| Other Authors: | |
| Format: | Bachelor thesis |
| Language: | English |
| Published: |
Universiti Teknologi Malaysia
2025
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| Online Access: | https://utmik.utm.my/handle/123456789/115256 |
| Abstract | Abstract here |
| _version_ | 1854934099831029760 |
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| author | Kathiravan Muniapan |
| author2 | Omar Yaakob, supervisor |
| author_facet | Omar Yaakob, supervisor Kathiravan Muniapan |
| author_sort | Kathiravan Muniapan |
| description | Also available in printed version : TK7882.P3 A924 2009 raf |
| format | Bachelor thesis |
| id | utm-123456789-115256 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-1152562025-08-20T21:43:45Z Improving savonius marine current turbine Kathiravan Muniapan Omar Yaakob, supervisor Turbines Also available in printed version : TK7882.P3 A924 2009 raf Writer Identification (WI) is an active research area in pattern recognition due to its immense potential for commercialization. The challenging process in WI is that handwriting varies from one person to another. However, it is individualistic where the consistent individual features are hidden in the handwriting. Due to these, most of the previous works focus on how to acquire individual features by deploying rigid characteristics (local features). These approaches contribute to large lexicon, increase the computational complexity and decrease the accuracy. Therefore, this study focuses on extracting global features from the handwritten word shape by using the proposed United Representation technique in order to address the issues of local features in WI. The extracted features are investigated granularly to validate the existence of individual features; hence the concept of Authorship Invarianceness is introduced. Authorship Invarianceness is defined as preservation of the individual features regardless of its handwriting transformations. It improves the Authorship Invarianceness by reducing the similarity error for intra-class (same writer) and increasing the similarity error for interclass (different writer). The individuality representation is implemented by presenting various representations of individual feature into standard representations using the proposed Invariant Discretization. Experimental results show that the performance of the proposed methods has improved with identification rate of 99.90% using various classifiers including the proposed Modified Immune Classifier (MIC) snhas UTM 73 p. Thesis (Ph.D (Sains Komputer)) - Universiti Teknologi Malaysia, 2009 2025-04-18T08:29:24Z 2025-04-18T08:29:24Z 2012-06 Bachelor thesis https://utmik.utm.my/handle/123456789/115256 valet-20151008-074959 vital:80281 ENG Closed Access UTM Complete Completion Unpublished application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Turbines Kathiravan Muniapan Improving savonius marine current turbine |
| thesis_level |
Other
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| title | Improving savonius marine current turbine |
| title_full | Improving savonius marine current turbine |
| title_fullStr | Improving savonius marine current turbine |
| title_full_unstemmed | Improving savonius marine current turbine |
| title_short | Improving savonius marine current turbine |
| title_sort | improving savonius marine current turbine |
| topic | Turbines |
| url | https://utmik.utm.my/handle/123456789/115256 |
| work_keys_str_mv | AT kathiravanmuniapan improvingsavoniusmarinecurrentturbine |