81 research outputs found
Improving Perception of Usability Through User Interface Design Patterns to Optimize Information Architecture for Cognitive Benefits and User Satisfaction in Massive Open Online Courses
No full textThis study explores the impact of user interface design patterns on usability, cognitive load, and user satisfaction for Massive Open Online Courses using small-screen devices. An empirical approach was adopted, involving 232 university students who voluntarily participated in the experiment. Prototypes of three well-known Massive Open Online Courses platforms (i.e., Coursera, Udemy, and edX) were developed to assess how various user interface design patterns influence user experience. The findings revealed that the aesthetic design of Coursera, including color scheme, content organization, was perceived as the most visually appealing, while Udemy received higher ratings for its typography, i.e, font size, type, and button shape. Coursera also outperformed the other platforms in terms of navigation (e.g., tab navigation, hamburger menu, drop-down, floating action button, listview), customization features (e.g., search filters, font, and background settings), and feedback mechanisms (e.g., toast messages, error alerts, progress indicators, confirmation prompts, and system status updates). Overall, participants reported higher satisfaction with Coursera, and its interface was associated with a lower cognitive load compared to Udemy and edX. These results underscore the importance of thoughtful user interface design in enhancing usability and reducing cognitive effort in mobile learning applications
Frequency domain manipulation of multiple copy-move forgery in digital image forensics
No full textCopy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-move forgery detection, conventional approaches are generally effective at identifying simple multiple copy-move forgeries. However, the conventional approaches and deep learning approaches often fall short in detecting multiple forgeries when transformations are applied to the copied regions. Motivated from these findings, a transform domain method for generating and analyzing multiple copy-move forgeries is proposed in this paper. This method utilizes the discrete wavelet transform (DWT) to decompose the original and patch image into approximate (low frequency) and detail coefficients (high frequency). The patch image approximate and details coefficients are inserted into the corresponding positions of the original image wavelet coefficients. The inverse DWT (IDWT) reconstructs the processed image planes after modification which simulates the multiple copy move forgery. In addition, this approach is tested by resizing the region of interest with varying patch sizes resulting in an interesting set of outcomes when evaluated against existing state-of-the-art techniques. This evaluation allows us to identify gaps in existing approaches and suggest improvements for creating more robust detection techniques for multiple copy-move forgeries
Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine
No full textCopy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images
No full textA robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform
No full textExploring the Portrayal of Masculinity in Howard Jacobson’s The Finkler Question: A Postmodern Perspective
No full textThis research article explores the portrayal of masculinity in Howard Jacobson’s novel, The Finkler Question, through a postmodern lens. It examines how the novel challenges traditional beliefs about masculinity and male identity, drawing on Jean-Francois Lyotard and Judith Butler to explore the fluid and contested nature of masculinity. Using textual analysis, the study focuses on themes of ageing, sexuality, and power in the portrayal of male characters and their relationships. The findings reveal that these characters navigate complex and contradictory identities, challenging conventional notions of masculinity. The novel critically reflects the socio-political context of contemporary Europe, highlighting diverse expressions of masculinity and the impact of societal expectations and traditional gender roles on male identity. Through its characters, the novel envisions a more inclusive and diverse understanding of male identity, emphasizing the fluid and evolving nature of masculinity. This study contributes to the ongoing discussion on gender and identity by demonstrating how The Finkler Question provides valuable insights into the nuanced nature of masculinity in contemporary Europe. The novel\u27s critique of traditional masculinity underscores the need for a more inclusive understanding of male identity and highlights the importance of a postmodern perspective in grasping the fluid nature of masculinity in modern society
An efficient forensic technique for exposing region duplication forgery in digital images
No full textAutomated CAD system for early detection and classification of pancreatic cancer using deep learning model.
No full textAccurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems. In the preprocessing stage, the input image resizes into 227 × 227 dimensions then converts the RGB image into a grayscale image, and enhances the image by removing noise without blurring edges by applying anisotropic diffusion filtering. In the segmentation stage, the preprocessed grayscale image a binary image is created based on a threshold, highlighting the edges by Sobel filtering, and watershed segmentation to segment the tumor region and we also implement the U-Net method for segmentation. Then refine the geometric structure of the image using morphological operation and extracting the texture features from the image using a gray-level co-occurrence matrix computed by analyzing the spatial relationship of pixel intensities in the refined image, counting the occurrences of pixel pairs with specific intensity values and spatial relationships. The detection stage analyzes the tumor region's extracted features characteristics by labeling the connected components and selecting the region with the highest density to locate the tumor area, achieving a good accuracy of 99.64%. In the classification stage, the system classifies the detected tumor into the normal, pancreatic tumor, then into benign, pre-malignant, or malignant using a proposed reduced 11-layer AlexNet model. The classification stage attained an accuracy level of 98.72%, an AUC of 0.9979, and an overall system average processing time of 1.51 seconds, demonstrating the capability of the system to effectively and efficiently identify and classify pancreatic cancers
Navigating the Divide: A Marxist Analysis of The White Tiger
No full textThis study conducted a Marxist analysis of Arvind Adiga’s The White Tiger The study aims to demonstrate how desire shapes the protagonist, Balram and influences broader societal dynamics within the framework of Marxist theory. By deploying this theory as its lens, the paper seeks to unveil the underlying structures perpetuating social inequalities in the depicted Indian milieu. The narrative unfolds through a dual exploration of two distinct social classes: privileged ‘haves’ in the India of Light and the marginalized ‘have nots’ in the India of Darkness. Through meticulous examination of specific instances in the novel, the analysis reveals the illicit use of state resources by political and economic elites, showcasing the intricate interplay between desire, corruption, and societal structures. The study illuminates how Adiga portrays the extreme and practical facets of Indian society, providing a nuanced understanding of the character’s motivations and the broader socio-economic context. This exploration contributes to a deeper comprehension of the novel’s socio-political commentary, elucidating the complex connections between individual aspirations, systemic corruption, and class divisions. In conclusion, the analysis not only enriches our understanding of The White Tiger, but also augments the broader discourse on literature, ideology, and societal critique
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