Volume 12 | Issue 4

 Abstract

Cracks and dents in infrastructure pose significant risks to safety and structural integrity, necessitating accurate and efficient detection methods. Traditional manual inspection processes are often labor-intensive and prone to human error, leading to delayed defect identification and maintenance interventions. We explore the application of computer vision technology for crack and dent detection in infrastructure assets. By leveraging advanced methodologies such as holistic edge detection and feature extraction, our proposed system aims to achieve high precision in identifying and delineating surface defects. Additionally, we discuss strategies to improve image processing efficiency, optimize system performance, and enable comprehensive analysis of surface defects. The integration of computer vision technology in infrastructure maintenance not only enhances safety practices but also offers potential cost savings by facilitating proactive maintenance interventions. Through this paper, we highlight the transformative impact of computer vision-based crack and dent detection in revolutionizing infrastructure inspection practices for enhanced safety and longevity.

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 Keywords

Computer Vision, Crack, Dent, Image Processing

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Everyday, thousands of people go missing around the world including children, teenagers, the mentally challenged, the senior with Alzheimer's, and others. utmost of them remain untraced. To this missing case entry is streamlined in police station. By using image processing compare each person with the available database and find these people. This system designed to find the felonious and missing people. If the missing person or felonious set up in the Web videotape streaming also shoot the position of missing person to police station. After missing person set up in the Web videotape streaming, shoot position Dispatch to Police station. In order for our system to fulfill its pivotal part in matters of security and authentication. Every executive function in this system is carried out by the admin then. The director has the capability to view, add, and remove stoner police. The system recognizes the issues and produces affair in line with them. This will grease law enforcement's hunt for a specific existent.

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 Keywords

Missing Person, Criminal, Identification, Face Recognition, OpenCV, CNN

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Creative Commons Attribution 4.0 and The Open Definition

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The advancement in artificial intelligence (AI), advanced image processing software empowers users with a vast array of editing tools, significantly altering how we interact with visual content. However, these advancements also present significant security concerns, especially regarding the spread of fake images on digital platforms. Combating image manipulation has become crucial in information security and multimedia applications. This paper addresses this critical issue by examining two main categories of image forgery: computer-generated content manipulation and deepfakes, with a focus on the common technique of splicing/compositing images from various sources. We explore recent developments in detection and localization methods, including analyzing inconsistencies in Colour Filter Array (CFA) patterns, noise levels, and JPEG compression variations. While deep learning approaches are gaining traction, traditional computer graphics-based methods remain valuable due to their reliability. The paper identifies three key challenges in combating image manipulation: efficient feature extraction, reducing reliance on manual parameter selection, and ensuring comprehensive identification of tampered areas. To address these challenges, we propose a novel approach using Contrast Limited Adaptive Histogram Equalization (CLAHE) that leverages noise artifacts and Error Level Analysis (ELA) weighted features to improve the visibility of manipulated regions. Our contributions include a multi-phase feature enhancement technique, a Contrast-based Adaptive Histogram Equalization method, and an Adaptive threshold-based pixel-wise localization method. These methods offer promising avenues for robust tampering detection across various digital platforms.

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 Keywords

ELA weight feature, Adaptive threshold, pixel-wise localization, Contrast based Adaptive Histogram Equivalization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The use of the internet and search engines are increasing exponentially in this world. Almost In every field including Education, HealthCare, Retail Marketing, business, and many more. There will be many unwanted contents being exposed to the internet users while browsing covering informative material to obscene content. This project introduces GuardianEye360 which is a sensitive image detection system using a combination of TensorFlow and CNN (Convolutional Neural Networks), Cascades, JavaScript. These features are then used to load the content into DOM (Document Object Model). Further the CNN with TensorFlow framework detects the images on the website and blurs the obscene content that is found on the loaded website. This creative browser extension is made to include a trained model that can effectively filter NSFW (Not-Safe-For-Work) content. The extension, which divides discovered images into either NSFW or SFW (Safe-For-Work) domains. The issue of being exposed to sensitive content online is addressed by GuardianEye360. This system operates to protect user experiences while they browse, giving users authority to conceal or hide anything that is too sensitive in the real time. Giving users total control over how they connect online, creates a more secure and safe online environment.

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 Keywords

: User-permission, storage, URLS, image filtering, Convolutional Neural Network, TensorFlow , Obscene image detection, Document Object Model, Not Safe For Work, blur image.

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This research article investigates the multifaceted influence of non-financial incentives on employee performance within contemporary organizational settings. As organizations strive to enhance employee engagement and productivity, the study delves into the varied forms of non-financial incentives, including recognition, flexible work arrangements, career development opportunities, and a positive work environment. Through a comprehensive review of existing literature and empirical data collected from diverse industries, the research aims to elucidate the nuanced ways in which non-financial incentives contribute to improved employee performance. The findings of this research contribute to the existing body of knowledge by providing empirical evidence of the impact of non-financial incentives on employee performance. The implications for organizational practices are discussed, offering insights for human resource professionals and organizational leaders seeking to optimize their incentive strategies. Ultimately, this research aims to guide the development of tailored and effective non-financial incentive programs that can positively influence employee performance, job satisfaction, and overall organizational success.

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Employee performance, non financial invcentives, undeniable appeal, job satisfaction

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This research paper comprehensively examines the practice of Triple Talaq in India, delving into its historical roots, legal dimensions, societal impacts, and gender perspectives. Triple Talaq, or talaq-e-bid'ah, is an Islamic divorce practice allowing a husband to pronounce "talaq" thrice in a single sitting, leading to an immediate and irrevocable dissolution of marriage. The study begins by providing a historical overview, tracing its origins in Islamic jurisprudence and its evolution within the Indian context. Within the legal framework, the paper explores the intricacies of Islamic Personal Law in India, investigating debates on the constitutional validity of Triple Talaq and legislative interventions aimed at reform. Societal impacts are analysed in terms of their effects on women's lives, family dynamics, and broader socio-economic ramifications. Gender perspectives are scrutinized, emphasizing the impact on women's rights, feminist discourses within Islamic family law, and intersectionality considerations. Through case studies, the paper examines landmark legal cases and personal narratives, offering a nuanced understanding of the real-life consequences of Triple Talaq. A comparative analysis provides insights from international approaches to Islamic family law, presenting lessons and potential reforms. Challenges and controversies within the Muslim community, including political and religious influences, are critically analysed. The research concludes with a summary of findings, actionable recommendations for future action, and emphasizes the ongoing need for dialogue and reform. By addressing the multifaceted aspects of Triple Talaq, this paper aims to contribute to the broader discourse on personal laws in India and stimulate discussions on gender justice and social cohesion.

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Triple Talaq, Islamic, Gender perspective, criticisms, comparative analysis

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This study focuses on streamlining the garment production process utilizing the Critical Path Methodology (CPM). The primary objectives are to identify critical paths and activities, optimize production task sequences, allocate resources efficiently, and manage task dependencies to minimize project risks. The research design employs a quantitative approach, analyzing inventory management strategies in the apparel industry. Primary data sourced directly from the company is utilized, focusing on inventory levels, demand patterns, lead times, and cost implications. The analysis techniques involve the Critical Path Method and Gantt chart. The study period spans from January to March 2024.

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 Keywords

garment production, Critical Path Methodology, inventory management, operational efficiency, resource allocation, project risks.

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Creative Commons Attribution 4.0 and The Open Definition

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Stress disorders are a common issue among working IT professionals in the industry today. With changing lifestyle and work cultures, there is an increase in the risk of stress among the employees. Though many industries and corporations provide mental health related schemes and try to ease the workplace atmosphere, the issue is far from control. In this paper, we would like to apply machine learning techniques to analyze stress patterns in working adults and to narrow down the factors that strongly determine the stress levels. A questionnaire is one of the most used methods for detecting stress. This technique relies primarily on the individual's responses. In this technique we can leverage use of the word cloud. The dataset contains text messages or documents that are labeled as either stressed or non stressed. Automatically detecting stress can lower the likelihood of the stress problems and improve society's well being. Image capturing is automated so it collects photographs whenever a typical behavior occurs. With the help of facial emotion recognition we can analyze the stress. However we consider the stress detection as a "Problem Detection" but our goal is to furnish the "Solution for the Problem '' as well. Proposed system is capable of detecting stress and providing remediation.

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 Keywords

Stress management, Machine learning, Stress detection, Mental health, Socio-economic impact, World Health Organization (WHO), Automated image capturing, Behavioral indicators , Individualized therapy, Well-being, Problem detection, Subjective responses, Health issues.

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Creative Commons Attribution 4.0 and The Open Definition

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Animation's revolutionary journey from hand-drawn beginnings to modern digital marvels highlights its enormous influence on people's emotions as well as the larger business environment. Animation is a universal art form that appeals to people of all ages, languages, and cultural backgrounds because it bridges these divides. Its emotional resonance speaks to the very essence of the human experience, and its historical significance illustrates how it has influenced our entertainment. Its versatility and aesthetic appeal make it a vital tool for marketing, communication, and brand storytelling in the business sector. Accepting animation is a recognition of its ageless power to connect, communicate, and convey ideas as well as a nod to the changing trends. Its emotional resonance speaks to the very essence of the human experience, and its historical significance illustrates how it has influenced our entertainment. Its versatility and aesthetic appeal make it a vital tool for marketing, communication, and brand storytelling in the business sector. The field of animation will surely grow as technology develops further, offering even more chances and channels for expression. This research study explores the diverse applications of animation and different types of animation.

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 Keywords

Traditional Animation, Computer Animation, Stop-Motion Animation, Gaming.

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The Smart AI-Enabled Blind Stick emerges as a ground breaking assistive device, designed to empower visually impaired individuals with enhanced mobility through Artificial Intelligence (AI), advanced sensor integration, and GPS tracking. At its core, the device utilizes convolutional neural networks (CNNs) for precise object detection, alongside ultrasonic sensors for real-time obstacle identification, and GPS technology for accurate outdoor navigation. This integration facilitates seamless indoor and outdoor mobility, offering users audio, tactile, and vibrational feedback for immediate awareness and obstacle avoidance. Our innovative approach combines real-time environmental analysis with intuitive user feedback mechanisms, ensuring a high level of safety and independence for visually impaired users. The CNN model is trained on extensive datasets to recognize a multitude of obstacles, while the ultrasonic sensors fill in the gaps by detecting immediate, unforeseen obstructions. GPS functionality further enhances the device's utility, enabling destination setting and vocalized route guidance.

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 Keywords

Artificial Intelligence, GPS technology, Ultrasonic sensor, Object detection, Feedback mechanism.

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Creative Commons Attribution 4.0 and The Open Definition

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Textiles and motifs play a significant role in reflecting cultural Heritage, folk culture, and symbolism. This study contextualizes the textiles and motifs within the broader framework of folklore in context. It examines the symbolic meaning and folkloric elements embedded within selected motifs from Delhi's textile tradition. Further, it outlines the role of textiles and motifs in soft power with certain examples from the G20 summit. Examined within the theoretical frameworks from cultural studies, the research aims to unwrap the cultural, social, and economic dynamics underpinning motif symbolism, production, and circulation. By synthesizing data collected from artisan field visits, literature surveys, and secondary sources, the study presents the cultural, mythological, and economic dynamics of selected motifs such as the Paisley, Lotus, Tree of Life, Elephant, Peacock, and Parrot. The findings reveal intricate meanings and cultural significance embedded within textiles and motifs, reflecting themes such as love, fertility, wisdom, resilience, etc. The research addresses the gap in understanding the intersection of textiles and motifs not only from the perspective of aesthetics and symbolism but with deep-rooted meanings, folk cultures, identity, heritage preservation (along with innovation), and soft power dynamics; overall, the research contributes to a deeper understanding of the cultural significance of textile and motifs, shedding light on their role as symbols of culture, identity, Heritage, craftsmanship, and diplomacy.

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Textiles, Motifs, Folk-Culture, Symbolism, Creativity, Craftsmanship, Soft Power, Heritage

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the imperative for the Indian banking industry to embrace green capital as a catalyst for sustainable energy initiatives. With a focus on strategic financial investments, the paper underscores the urgency of aligning banking practices with India's environmental goals. By examining successful case studies, emerging trends, and regulatory frameworks, the research delineates the transformative potential of green investments. It highlights collaborative efforts between financial institutions, governmental bodies, and the private sector in driving sustainable energy projects. The abstract emphasizes the dual benefits of green capital - contributing to environmental conservation and generating long-term economic returns. The integration of environmental, social, and governance factors into financial decision-making processes is discussed, providing insights into risk mitigation. The study concludes by advocating for the Indian banking industry's pivotal role in reshaping the economic landscape through responsible and sustainable financial practices. This research aims to guide stakeholders in navigating the evolving green finance domain, fostering a resilient and eco-friendly trajectory for the Indian banking sector.

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 Keywords

Green Capital, Sustainable Energy, Banking Industry, Strategic Financial Investments

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

At present days, Wireless sensor networks (WSNs) ensure and recognized in research and developmental sectors in several fields, like verbal exchange, farming, crop monitoring, smart fitness, logistics, and agriculture investigation and monitoring system. In the locality of agriculture construction, inter net of things plays a important role to inspect the crops situation and power up the agriculture accuracy with abundant sensors. All the sensors nodes are positioned in the lands to increase production of crops over smooth agricultural adoptions and obtain the data of concerning plants. Here proposed a swarm optimization technique using internet of things initially, the nodes receives all the information and data and choose a secure cluster heads. Furthermore, for efficient data transmissions is calculated using signal to noise ratio. Furthermore, at the time of data communication security is providing with the help of encryption technique. The results proves that the proposed method Efficient and Secured IOT based Agriculture Wireless Sensor network using Swarm Optimization is gives an better results compare with existing PSO method.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Swarm optimization, IoT, Internet of Things, Security with IoT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Paying guest accommodations, also referred to as PGs, are a typical kind of housing for young professionals, migrants, and students in urban areas across the globe. In these kinds of agreements, tenants are called paying guests and the rental of a room within a residential property, usually under the management of a landlord. PGs encourage social interactions and networking possibilities by providing a feeling of community and camaraderie among inhabitants. The current study aims to understand the issues, face by the migrants for searching suitable accommodation and analyse the feasible solution with respect to their requirements. The s

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AN ANALYSIS FOR THE NEED OF ACCOMMODATION FOR MIGRANT STUDENTS AND WORKING PROFESSIONALS: A CASE STUDY IN BANGALORE

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 Abstract

The rapid growth of e-commerce platforms has led to an overwhelming number of choices for consumers. Product recommendation systems have become essential tools for helping users navigate the vast product space. This project aimed to develop and compare various machine learning algorithms for product recommendation and enhance the user experience by providing detailed product information. The proposed method involved the implementation of six different algorithms: Singular Value Decomposition (SVD), SVD++, Alternating Least Squares (ALS), K-Nearest Neighbors with Z-score (KNNWithZScore), User-Based Nearest Neighbors (UBNN), Item-Based Nearest Neighbors (IBNN), and a Hybrid model. Each algorithm was evaluated based on several performance measures including RMSE, MAE, Precision, Recall, F1-score, Fit Time, and Test Time. The SVD++ model demonstrated superior performance and was selected for the final implementation. To make the recommendations more user-friendly, web scraping was employed to retrieve detailed product information such as name, description, properties, image, and product listing URL. The results suggest that the SVD++ model, combined with detailed product information, provides an effective and user-friendly product recommendation system. This project contributes to the ongoing efforts to enhance user experience on e-commerce platforms and paves the way for future research in personalized recommendation systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-commerce, Recommendation, Product Recommendation, Collaborative Filtering, Matrix Factorization, Machine Learning, SVD, RMSE, MAE.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the contemporary competitive business environments, Artificial Intelligence (AI) emerges as a pivotal component in Human Resource Management (HRM). Despite its longstanding presence as a concept, AI has garnered significant attention only recently. Serving as a sophisticated tool wielded by humans, AI holds the potential to revolutionize various aspects of HRM, including recruitment, training, and performance management. Through AI-powered solutions, HR departments can enhance employee service delivery while simultaneously optimizing costs. The integration of AI in HRM is increasingly vital, empowering organizations to bolster efficiency levels while concurrently elevating employee satisfaction. Overall, the combination of an exploratory research design, qualitative approach, and reliance on secondary data analysis enables this study to provide insight into the complexities of AI integration in HRM, offering valuable insights and implications for future research and practice. Consequently, researchers have focused on identifying key HRM tasks ripe for AI integration, aiming to amplify efficacy within HRM practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI in HRM, Artificial Intelligence, Application of AI in Human Resource, Human Resource Management, Human Resource Management Practices

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pooyamkutty is a remote village situated along the Kuttampuzha river ,a tributary of Periyar.it is part of Western Ghats and it is close to Iravikulam National Park and Anamalai Tiger Reserve and they share boundary with Pooyamkutty. Podostemaceae is a unique rheophytic angiosperm family which is abundant in almost all the 44 rivers of Kerala.Presence of Western Ghats combined with the North-East and South -West Monsoons provide a sub-tropical climate and seasonal flooded mountainous rivers ideal condition for Podostemaceae.In the present survey,the investigators were able to gather 5 genera and 6 species of the Family Podostemaceae from different localities of Pooyamkutty:Indotristicha ramosissima, Dalzellia ceylanica,Polypleurum stylosum,P.prostratum , Podostemum subulatum and Zeylanidium lichenoides.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pooyamkutty, Podostemaceae, Indotristicha ramosissima, Dalzelliaceylanica,Polypleurum stylosum,P.prostratum , Podostemum subulatum, Zeylanidium lichenoides

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Creative Commons Attribution 4.0 and The Open Definition

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This research investigates the interplay between Big Five personality traits and mood regulation strategies facilitated by music. Utilizing the Mini-IPIP questionnaire, participants' levels of Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness were assessed. Mood regulation strategies were evaluated through the Brief Mood Regulation through Music (BMMR) scale, covering dimensions such as Entertainment and Mood Maintenance, Revival, Strong Sensation, Diversion, Discharge, Mental Work, and Solace. Pearson correlation coefficients were computed to analyze the relationships between personality traits and mood regulation dimensions. The results unveiled significant positive correlations between Extraversion, Conscientiousness, and Openness to Experience with various mood regulation aspects. Furthermore, regression analyses highlighted Openness as a significant predictor across several dimensions, including Entertainment and Mood Maintenance, Revival, Strong Sensation, and Mental Work. These findings underscore the role of personality traits in influencing individuals' preferences for mood regulation strategies via music, providing valuable insights into the complex dynamics between personality and emotional regulation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Big Five personality traits, mood regulation, music, correlation analysis, regression analysis, emotion regulation.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper presents the design and analysis of a mechanical human hoist featuring a scissor mechanism. The objective of this study is to develop a safe and efficient lifting system for human or goods elevation in various applications as automobile workshops, logistics sectors, etc. The scissor mechanism, is a fundamental component of the hoist, enabling both vertical lifting and controlled descent. Detailed engineering and kinematics analysis are conducted to optimize the design for stability, reliability, and load bearing capacity. The system is powered by an electric motor and incorporates safety features to ensure user protection during operation. Key aspects covered in this project include the scissor mechanism's geometry, material selection, load bearing capacity, and control system. The hoist is designed with on focus ease of use, adaptability to different environments, and compliance with safety standards. The result of this study demonstrates the feasibility and effectiveness of the scissor mechanism based mechanical human hoist. It offers a versatile solution for vertical mobility, making it suitable for a wide range of applications, with a primary emphasis on enhancing the quality of life and safety for individuals in need of assisted vertical movement. This abstract summarizes the development and analysis of mechanical hoist system, highlighting its scissor mechanism as a key feature for vertical lifting.

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Mechanical Hoist

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article analyzes the phytochemical composition of different parts of celery (Apiumgravolens) and their pharmacological activities. Flavonoids, organic acids, hydrocinnamic acid, essential oil terpenes, tannins, vitamins and trace elements are the biological substances (BAS) of A.graveolens. Rich BAS content enables herbal products to have many biological and chemical properties, especially antioxidant activity. Additionally, the extract has neuroprotective, anti-inflammatory, hypolipidemic, antihypertensive and antibacterial effects. A.graveolens has a wide range of medicinal properties and is a non-toxic plant. Drugs based on A.graveolens will have high safety. The results provided an opportunity to prepare celery-based herbal medicine and introduce them into medical studies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Medicinal plants, Celery, Apiaceae family, Biological substances, Herbal medicine, Antioxidant activity, Medicinal properties.

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Creative Commons Attribution 4.0 and The Open Definition