4 research outputs found
Line and Word Segmentation of handwritten text documents written in Gurmukhi Script using mid point detection technique
No full textFirePSOSA: A Hybrid Metaheuristic Approach for Enhanced Segmentation of Maize Leaves
No full textThe potential adverse effects of maize leaf diseases on agricultural productivity highlight the significance of precise disease diagnosis using effective leaf segmentation techniques. In order to improve maize leaf segmentation, especially for maize leaf disease detection, a hybrid optimization method is proposed in this paper. The proposed method provides better segmentation accuracy and outperforms traditional approaches by combining enhanced Particle Swarm Optimisation (PSO) with Firefly algorithm (FFA). Extensive tests on images of maize leaves taken from the Plant Village dataset are used to show the algorithm's superiority. Experimental results show a considerable decrease in Hausdorff distances, indicating better segmentation accuracy than conventional methods. The proposed method also performs better than expected in terms of Jaccard and Dice coefficients, which measure the overlap and similarity between segmented sections. The proposed hybrid optimization method significantly contributes to agricultural research and indicates that the method may be helpful in real scenarios. The performance of proposed method is compared with existing techniques like K-Mean, OTSU, Canny, FuzzyOTSU, PSO and Firefly. The overall performance of the proposed method is satisfactory
An Optimized SWCSP Technique for Feature Extraction in EEG-based BCI System
No full textBrain-computer interface (BCI) is an evolving technology having huge potential for rehabilitation of patients suffering from disorders of the nervous system, besides many other nonmedical applications. Multichannel electroencephalography (EEG) is widely used to provide input signals to a BCI system. Significant research in methodology employed to implement different stages of BCI system, has led to discovery of new issues and challenges. The raw EEG data includes artifacts from environmental and physiological sources, which is eliminated in preprocessing phase of BCI system. It is then followed by a feature extraction stage to isolate a few relevant features for further classification to a particular motor imagery (MI) activity. A feature extraction approach based on spectrally weighted common spatial pattern (SWCSP) is proposed in this paper to improve overall accuracy of a BCI system. The reported literature uses SWCSP for feature extraction, as it has outperformed other techniques. The proposed approach enhances its performance by optimizing its parameters. The independent component analysis (ICA) method is used for detection and removal of irrelevant data, while linear discriminant analysis (LDA) is used as a classifier. The proposed approach is executed on benchmark data-set 2a of BCI competition IV. It yielded classification accuracy of 70.6% across nine subjects, which is higher than all the reported approaches. 
Perswedo:introducing persuasive principles into the creative design process through a design card-set
No full textAbstract
In human-computer interaction (HCI), advances of information and communication technology have led to a wealth of Persuasive Technology (PT) researches to support people’s behaviors change. Many PT theories have been widely used for design analysis and are supposed to be useful for PT design. However, very limited effort has been taken to bridge the gap between PT theory and design practice. In this paper, we present the formative study of Perswedo, a card-based tool that introduces persuasive principles from Persuasive Systems Design model to support the creative design flow. As an intermediate step to appropriate Perswedo cards to the design activities, we assessed the usefulness and value of Perswedo in the design process as well as the design implications of the cards through three design workshops. Our findings suggest further study to resonate PT theoretical work with design practice
