Volume 13 | Issue 3 |

 Abstract

Scene text recognition on outdoor signboards, particularly in Indian languages, is a crucial application of deep learning with broad implications for navigation, automated translation, and accessibility. Despite advancements, challenges such as lighting variations, occlusions, distortions, and complex backgrounds hinder accurate text extraction. This study presents a deep learning-based framework for text signage recognition and translation, specifically tailored for Indian languages. The proposed methodology involves a multi-stage approach, including data preprocessing for noise reduction and contrast enhancement, feature extraction using a Feature Pyramid Network, and text recognition through a Bidirectional Long Short-Term Memory network. A hybrid Convolutional Neural Network - Recurrent Neural Network model is employed to classify and convert extracted text into a machine-readable format, followed by translation using transformer-based models trained on parallel Indian language corpora. This system aims to enhance multilingual text recognition and real-time translation, contributing to improved accessibility and navigation for users across diverse linguistic backgrounds.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Scene text recognition, Deep learning, Feature Pyramid Network, Bidirectional LSTM, Convolutional Neural Network, Recurrent Neural Network, Text extraction, Multilingual translation, Indian languages.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Deepfake technology is a modern and sophisticated technology that has eventually eradicated the fine line between being real and fake. It is an evil approach with the use of artificial intelligence (AI) to make the unreal look real. Deepfake has its impact which has taken the turn of cybercrime across the country and the world as a whole. The victimisation of individuals to the trap of deepfake approaches has hiked which needs to be taken into serious concern. Here, we are going to discuss about deepfake crimes in India and the need for a necessary legal structure in the country to regulate deepfake crimes. We will also look into certain approaches by other countries to combat the same.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deepfake Crimes, Cyber Security, Cyber Crimes, Artificial Intelligence, Information Technology Act, 2000, Right to Privacy, Right to Publicity, Universal Declaration of Human Rights (1948), Articles 14, 19 and 21, Section 66(D) and Section 66(E).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Language is the primary medium of expression, communication as well as cultural transmission. It allows us to convey thoughts, emotions, and ideas, enable meaningful interaction and collaboration. Stories, songs and rituals are preserved in linguistic form, maintaining cultural heritage and identity. The significance of language extends far beyond mere words, as it shapes our thoughts, influences our interactions, and forms the foundation of society. Indian OTT platforms reflect the country's linguistic diversity and serve a wide cultural flavour by producing content in regional languages such as Bengali, Tamil, Telugu, Hindi and others. Dialogues, idioms, and slang enhance the relatability and believability of characters and stories with a touch of creativity. Slang can enhance the emotional impact of a conversation. It gives dialogue more force and authenticity, especially in dramatic or heated situations. The research illustrates how characters use language to assert dominance, control, and resistance within the narrative framework, often mirroring real-life socio-political power struggles. An aspect of the study is to focus on the portrayal of gendered vulgar language as a reflection of power dynamics and social hierarchies. Such portrayals can influence audience attitudes toward gender roles, perpetuate potentially harmful stereotypes, and justify abusive behaviour. Through a qualitative content analysis approach, the study will identify and categories examples of such kind of vulgar words used in content. This research paper is designed as descriptive research which primarily aims to study gendered slang and hate speech uses in different Indian OTT platforms. To achieve the objective, a survey of audience will be conducted. While acknowledging the importance of creative freedom, the study promotes responsible content creation that thoughtfully considers the possible consequences of inappropriate language. The research findings highlight the need for an understanding of the influential impact of using those words in creative narratives and call for a balanced approach to content regulation on OTT platforms.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

language, gendered slang, hate speech, Indian OTT, media, creative freedom

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When a person sits in front of the computer, the webcam captures real-time footage, displaying a small green box at the center of the screen. The system processes the objects or gestures within this box, and upon successful recognition, a red boundary appears, confirming identification. The recognized object or gesture can then be used to control the mouse pointer by dragging it across the screen. This approach enhances computer security while enabling a virtual computing environment. Instead of physical objects, hand gestures will be used to perform various functions--one gesture for moving the cursor, another for right-clicking, and a different one for left-clicking. Similarly, specific gestures can be used to execute keyboard functions virtually, eliminating the need for a physical keyboard. If the system detects a valid gesture, the red border appears, while an unrecognized input simply keeps the green box visible.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Haar Cascade Algorithm Virtual Mouse, Virtual Keyboard, Computer Vision

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this research, we will explore various signal quality assessment techniques and sparse compression algorithms for efficiently compressing and reconstructing quality Aware Electrocardiogram (ECG) signals. The inherent sparsity of ECG signals allows for significant data reduction, which is crucial in applications like wearable health devices (BAN's), remote patient monitoring, and long-term ECG data storage. We will implement and evaluate a range of sparse compression techniques, including Compressed Sensing (CS), Wavelet-Based Compression, Dictionary Learning, Matching Pursuit (MP), Orthogonal Matching Pursuit (OMP), and Run-Length Encoding (RLE). To maintain uniformity each algorithm is applied to an ECG signal with a sampling frequency of 100 Hz segmented with one-minute duration. The performance of these methods is assessed by calculating the compression ratio and analyzing the quality of the reconstructed signals. Furthermore, we will investigate the possible practical deployment of these algorithms on embedded systems, specifically using a Raspberry Pi and an Arduino board. The algorithms are implemented on these platforms to assess their energy efficiency and feasibility for real-time applications. By testing the algorithms on Raspberry Pi and Arduino, we evaluate the computational performance and resource requirements, providing their suitability for deployment in resource-constrained devices. Finally, demonstrate the efficiency of these sparse compression techniques in reducing data size while maintaining the essential features of the ECG signals. The reconstructed signals are compared to the original and filtered ECG data, offering understandings into the trade-offs between compression efficiency and signal fidelity. This study contributes to the ongoing development of compression algorithms in biomedical signal processing, particularly for resource-constrained BANs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: 1. Sparse Compression, 2. Electrocardiogram (ECG),3. Signal Reconstruction, 4. Embedded Systems, 5. Body Area Networks (BANs).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the characters through symbols. Each member in Lillian's cooking class has their own setbacks and the selection of certain essential ingredients help them to unravel themselves from the problems and find their true authentic self through food. Erica Bauermeister has intricately woven the symbols with each character's life and is simply exquisite to analyse deeper. The symbols she incorporated imparts the emotions that are not given attention to in typical life. Symbols are vital patterns of meanings that connects the inner and outer worlds of the character. The members Lillian, Claire, Chloe are symbolically portrayed through ingredients like apple, crab, heirloom tomato. In this study the symbols are examined to analyse the characters.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

symbolism, food studies, apple, heirloom tomato, crab

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

??????? ?? ???????? ??????? ?? ??? ??????????????? ???????? ?? ?????? ???? ??? ???????? ?? ?? ??????? ? ?????????????? ?????? ???????? ?? ?? ??? ???? ?? ?????? ?? ?????? ?? ???? ??????? ???? ?????? ?? ??? ????? ?? ?????? ??????????????? ????? ???? ???????? ?? ?????? ?? ?? ?????? ???? ??? ?? ?? ??????? ??? ??? ??? ????? ??????????????? ?????? ??? ?? ??? ?????? ?? ????? ???? ?? ??? ????? ??? ??? ????? ?? ??? ??? ?? ???? ???? ??????? ???? ?? ??? ????? ?? ?????? ?? BALSHRAM KE SAMPOORN UNMOOLAN KE LIYE ANTARRASHTRIYA SANSTHAO KE DWARA KIYE GAYE PRAYASO KA SAMAJIK EVAM VISHLEHANTMAK ADHYAN

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

BALSHRAM KE SAMPOORN UNMOOLAN KE LIYE ANTARRASHTRIYA SANSTHAO KE DWARA KIYE GAYE PRAYASO KA SAMAJIK EVAM VISHLEHANTMAK ADHYAN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study of Online Granite Store offers a well-structured product catalog that includes detailed descriptions, high-quality images, and pricing information for various granite slabs. Users can explore different categories, such as colors, textures, and sizes, allowing them to make informed choices based on their preferences. The responsive web design ensures that the platform is accessible across multiple devices, enhancing the overall user experience. Key features of the store include a secure user authentication system, which allows customers to create accounts, manage their profiles, and track their orders. The integration of a shopping cart enables users to conveniently add products for purchase, while a streamlined checkout process offers multiple payment options, ensuring smooth transactions. The backend of the application is powered by XAMPP, providing a reliable environment for database management and facilitating efficient data storage and retrieval. This ensures that the store can handle product inventory and customer information seamlessly. Additionally, the project aims to incorporate features such as customer reviews and ratings, enhancing the decision-making process for potential buyers. By bridging the gap between granite suppliers and consumers, this Online Granite Store promotes convenience and accessibility in the purchasing process. Overall, this project not only showcases the potential of web technologies in e-commerce but also provides students with practical experience in web development, database management, and application design. Through this initiative, students are prepared for future challenges in the field of information technology, equipped with the skills necessary to create effective online solutions

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Product Catalog, Granite Slabs, Detailed Descriptions, High-Quality Images, Pricing Information, Colors, Textures, Sizes, User Experience, Responsive Web Design, Secure User Authentication, User Accounts, Profile Management, Order Tracking, Shopping Cart, Checkout Process, Payment Options, XAMPP, Database Management, Data Storage and Retrieval, Customer Reviews, Customer Ratings, Supplier-Consumer Bridge, E-commerce, Web Technologies, Practical Experience, Web Development, Application Design

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nanoparticles are materials with unique properties due to their extremely small size, typically ranging from 1 to 100 nanometers. Nanoparticles are very small materials, typically measuring between 1 and 100 nanometers, which give them special properties that aren't found in larger materials. Their small size and large surface area make them unique, allowing them to be useful in many different fields. In this overview, we explore the basic structure and types of nanoparticles, such as metallic nanoparticles, polymeric nanoparticles, lipid nanoparticles, and carbon-based nanoparticles. These particles are often categorized based on their material, shape, and size, which can affect how they behave and interact with their surroundings. These features make nanoparticles useful in a wide range of areas, including medicine, electronics, and environmental science. To better understand and measure nanoparticles, scientists use various techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), dynamic light scattering (DLS), and X-ray diffraction (XRD). These tools help scientists examine their size, shape, and surface properties, as well as their stability. Nanoparticles are made using different methods like chemical vapour deposition, sol-gel techniques, and both top-down and bottom-up approaches, each offering specific benefits in controlling their size and shape. They are used in many applications, including drug delivery, diagnostic tools, cancer treatment, energy storage, environmental clean-up, and sensors. With on-going research and innovation, nanoparticles are becoming increasingly important in improving technology, sustainability, and creating new solutions in various industries.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nanoparticles, Platforms, Classification, Characterisation, Preparation, Synthesis, Application.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Background: Single-parent households are increasingly common, and their impact on children's development has been a subject of extensive research. While single parents often face unique challenges, including financial strain and increased household responsibilities, their children's academic outcomes are not universally negative. This study aims to investigate the relationship between study habits and academic performance in children from single-parent families. Method: A sample of 150 students from single-parent households studying in class X was recruited from various schools in Garo Hills region. Data were drawn by using scale on study habit and academic report card were used to generate data for the study. To accomplish this, the researchers employed survey method as a research design Results: No significant differences were found in overall study habits between children from single-parent and two-parent households. However, some specific study habits, such as time management and organizational skills, showed a trend towards being slightly lower in the single-parent group. No significant differences were found in overall academic performance between the two groups. Relationship between Study Habits and Academic Performance: Strong positive correlations were found between study habits and academic performance in both groups, indicating that effective study habits are crucial for academic success regardless of family structure.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Single parenthood, Study Habit, Academic Performance, child well-being, social support, parenting practices.

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Creative Commons Attribution 4.0 and The Open Definition