| 1 |
Author(s):
Vaishnavi V.
Page No : 1-3
|
Sign Sync: Real Time Sign Language to Speech Translation
Abstract
Sign Sync is a platform designed to translate sign language into text in real-time. By utilizing Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) algorithms, the project bridges communication gaps for the hearing-impaired, moving beyond static libraries to dynamic, inclusive interaction. The system captures video input, processes hand and body gestures through a deep learning pipeline, and outputs corresponding textual sentences with minimal latency. This research demonstrates a significant step towards accessible technology that fosters seamless communication in educational, professional, and social contexts.
| 2 |
Author(s):
KAPILAN.S.
Page No : 1-3
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Real-Time SOC Monitoring and Incident Response Systems: An Extensive Survey
Abstract
Abstract
Security Operations Centers (SOCs) represent the core defensive mechanism of modern enterprises facing increasingly sophisticated cyber threats. The digital transformation of organizations, cloud migration, remote workforce adoption, and interconnected systems have significantly expanded the attack surface. Consequently, real-time monitoring and rapid incident response have become essential for ensuring cybersecurity resilience. This survey provides an extensive academic analysis of real-time SOC architectures, including log management pipelines, SIEM correlation engines, SOAR automation frameworks, behavioral analytics, artificial intelligence integration, and structured incident response methodologies. Detailed discussion is provided on detection mechanisms such as rule-based correlation, signature matching, anomaly detection, machine learning classification, and User and Entity Behavior Analytics (UEBA). The study also evaluates operational limitations including alert fatigue, scalability constraints, compliance requirements, budget limitations, and shortage of skilled analysts. Emerging paradigms such as Zero Trust Architecture (ZTA), Extended Detection and Response (XDR), cloud-native SIEM, and predictive AI-driven SOC models are examined. The objective of this paper is to provide a detailed, humanized, research-oriented survey aligned with IJEDR publication standards.
Keywords: Index Term Security Operations Center, SIEM, SOAR, Incident Response, Real-Time Monitoring, XDR, UEBA, Cyber Threat Intelligence.
| 3 |
Author(s):
Emeka Chukwuka.
Page No : 1-3
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Structural Behaviour of Reinforced Concrete Beams Incorporating Recycled Aggregates
Abstract
The construction industry is responsible for substantial resource consumption and waste generation, particularly from demolished concrete structures. Recycled concrete aggregates (RCA) offer a sustainable alternative to natural aggregates in reinforced concrete (RC) production. However, concerns regarding reduced mechanical strength, increased porosity, and durability performance limit widespread structural adoption. This study investigates the structural behaviour of reinforced concrete beams incorporating varying proportions of recycled aggregates (0%, 25%, 50%, 75%, and 100%) as partial replacement of coarse natural aggregates. Experimental evaluation focuses on load–deflection response, ultimate load capacity, cracking behaviour, stiffness degradation, and failure modes under four-point bending. Results indicate that moderate RCA replacement (≤50%) produces marginal reductions in ultimate strength while maintaining ductile failure characteristics. Higher replacement ratios reduce stiffness and increase deflection due to weaker interfacial transition zones (ITZ). The study concludes that structural-grade RC beams with up to 50% recycled aggregate substitution can satisfy serviceability and strength requirements when mix design adjustments are properly implemented. These findings contribute to sustainable structural engineering practices and support circular economy integration within reinforced concrete construction.
| 4 |
Author(s):
priyadharshini k.
Page No : 1-4
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Intelligent SOC Dashboard for Continuous Log Analysis and Incident Responses
Abstract
The rapid expansion of digital infrastructure has significantly increased the volume of security-related data generated by organizations. Every network device, server, firewall, and application continuously produces logs that record system activities, user behavior, and security events. Analyzing this enormous volume of log data manually is inefficient and increases the risk of missing critical cyber threats. Traditional security monitoring systems lack centralized visibility and intelligent automation, resulting in delayed detection and slow incident response. This paper proposes an Intelligent SOC Dashboard for Continuous Log Analysis and Incident Responses that integrates centralized log collection, real-time log processing, automated threat detection, and structured incident response into a unified platform. The system continuously monitors incoming logs, analyzes suspicious behavior patterns, and generates real-time alerts to support security teams in mitigating threats effectively. By providing an interactive and centralized dashboard interface, the proposed system enhances operational efficiency, improves threat visibility, and reduces response time, thereby strengthening the overall cybersecurity framework of organizations.
| 5 |
Author(s):
Dr. Rajesh Shrivastava.
Page No : 1-4
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AI-POWERED SUSTAINABLE DEVELOPMENT IN INDIA
Abstract
Security Operations Centers (SOCs) represent the core defensive mechanism of modern enterprises facing increasingly sophisticated cyber threats. The digital transformation of organizations, cloud migration, remote workforce adoption, and interconnected systems have significantly expanded the attack surface. Consequently, real- time monitoring and rapid incident response have become essential for ensuring cybersecurity resilience. This survey provides an extensive academic analysis of real-time SOC architectures, including log management pipelines, SIEM correlation engines, SOAR automation frameworks, behavioral analytics, artificial intelligence integration, and structured incident response methodologies. Detailed discussion is provided on detection mechanisms such as rule-based correlation, signature matching, anomaly detection, machine learning classification, and User and Entity Behavior Analytics (UEBA). The study also evaluates operational limitations including alert fatigue, scalability constraints, compliance requirements, budget limitations, and shortage of skilled analysts. Emerging paradigms such as Zero Trust Architecture (ZTA), Extended Detection and Response (XDR), cloud-native SIEM, and predictive AI-driven SOC models are examined. The objective of this paper is to provide a detailed, humanized, research-oriented survey aligned with IJEDR publication standards.
| 6 |
Author(s):
Aditya Dubal.
Page No : 1-5
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Bridging the Gap Between Climate Change and Air Quality: A Study on the Impact of CFCs and Gaseous Pollutants in the Delhi Megacity
Abstract
Delhi experiences chronic and extreme air pollution driven by a complex mixture of primary and secondary atmospheric pollutants, posing substantial environmental and public health risks. This study provides a comprehensive assessment of the impacts of chlorofluorocarbons (CFCs) in conjunction with major criteria pollutants-fine and coarse particulate matter (PM and PM10), nitrogen oxides (NOx), sulphur dioxide (SO₂), and troposphere ozone (0₂) on urban air quality and population health in Delhi.
Longitudinal air quality and exposure data were obtained from the Central Pollution Control Board (CPCB) and international datasets and were analyzed to evaluate temporal variability, seasonal exceed and compliance with national and World Health Organization (WHO) guidelines.
While direct CFC emissions have declined following regulatory controls, their long atmospheric residence time continues to influence stratospheric ozone depletion, indirectly enhancing surface-level ultraviolet radiation exposure and associated health risks.
Epidemiological evidence suggests a strong association between elevated pollutant concentrations and increased incidence of respiratory and cardiovascular morbidity, particularly among susceptible subpopulations. Annual mean PM.s concentrations in Delhi ranged between approximately 90-110 µg m, exceeding the WHO guideline value of 5 µg m³ by more than 18-22 times. Peak winter concentrations frequently surpassed 250 µg m³. PM2.5 consists of extremely fine particles that can penetrate deep into the respiratory tract, enter the bloodstream, damage blood vessels, and impair lung function.
| 7 |
Author(s):
Sravanthi Kanchi, Anshu Mekala, Esha Joseph, Shreeja Thumma.
Page No : 1-5
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Theoretical Frameworks for AI, Smart Systems, and IoT in Healthcare
Abstract
The rapid integration of Artificial Intelligence (AI), Internet of Things (IoT), and smart systems has revolutionized the healthcare industry through improved clinical outcomes and operational efficiency. This document presents the theoretical frameworks that drive these technologies, with a focus on the Technology Acceptance Model and Diffusion of Innovation theory as the major drivers for adoption by medical staff and patients. The major findings reveal how AI and IoT can improve operational intelligence through real-time data analysis, predictive analytics for resource planning, and automated patient monitoring. However, the use of these systems requires effective ethical standards, including transparency, fairness, and addressing biases, as well as the use of advanced security features such as encryption and blockchain for effective security of patient data. Therefore, the effective development of "Hospital 4.0/5.0" depends on the development of AI competence among healthcare professionals as well as collaborative working between stakeholders in the provision of safe, fair, and effective care for all.
| 8 |
Author(s):
Dr. E. Karthika, Mrs. T. Maheswari, Ms. M. Rithanya, Mr. S.S. Sabarish, Ms. K. Praganyasri.
Page No : 1-6
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STUDY OF INSTORE AND DIGITAL ORDERING EXPERIENCES AMONG STUDENTS ENGAGEMENT WITH KFC IN COIMBATORE.
Abstract
ABSTRACT
The present study titled Study of In-Store and Digital Ordering Experiences among Students Engagement with KFC in Coimbatore examines the preferences, satisfaction levels, and engagement patterns of students while ordering food through in-store and digital platforms. With the rapid growth of digital technology and online food delivery services, consumer behavior particularly among students has shifted significantly from traditional counter ordering to mobile applications and online platforms.
The study focuses on understanding factors such as convenience, waiting time, ease of payment, service quality, accuracy of orders, and overall satisfaction influencing students’ choice between in-store and digital ordering methods. Primary data were collected from students in Coimbatore through a structured questionnaire, and statistical tools such as percentage analysis, Chi-square test, correlation were used to analyze the data.
The findings reveal that while digital ordering is preferred for its convenience and time-saving benefits, in-store ordering continues to attract students due to ambiance, social interaction, and immediate service experience. The study provides insights into student engagement behavior and offers suggestions to enhance customer satisfaction and improve service strategies for better engagement. Overall, the research highlights the importance of integrating both digital and in-store experiences to strengthen brand loyalty and customer retention among students in Coimbatore.
| 9 |
Author(s):
Yuvashri B.
Page No : 1-8
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Recent discoveries and overview of Carbapenem-Resistant Klebsiella pneumoniae.
Abstract
Abstract:
Klebsiella pneumoniae is a Gram-negative opportunistic pathogen that has emerged as a major cause of healthcare-associated infections worldwide, including pneumonia, bloodstream infections, and urinary tract infections. Its clinical success is driven by a combination of extensive virulence determinants and an exceptional capacity to acquire antimicrobial resistance. Key virulence factors such as the polysaccharide capsule, lipopolysaccharide, fimbrial adhesins, and multiple iron-scavenging systems facilitate colonization, immune evasion, and invasive disease. Of particular concern is the global emergence of hypervirulent K. pneumoniae lineages, which cause severe community-onset infections and are increasingly converging with multidrug-resistant phenotypes. Carbapenem-resistant K. pneumoniae (CRKP) represents a critical public health threat, fueled by the dissemination of carbapenemase genes including blaKPC, blaNDM, blaOXA-48-like, and blaVIM, often carried on mobile genetic elements. In India and other high-burden regions, resistance is further amplified by porin loss, efflux pump overexpression, and horizontal gene transfer, contributing to high morbidity and mortality, particularly in intensive care settings. Environmental contamination, inappropriate antibiotic use, and inadequate infection control practices exacerbate the spread of CRKP. Accurate and timely detection remains challenging, especially in resource-limited settings, where phenotypic assays are widely used despite limited specificity, while molecular techniques offer greater sensitivity but limited accessibility. This review highlights the interplay between virulence, resistance mechanisms, epidemiology, and diagnostic challenges of K. pneumoniae, emphasizing the urgent need for integrated surveillance, improved diagnostics, and effective antimicrobial stewardship to curb the growing threat posed by carbapenem-resistant and hypervirulent strains.
Keyword: Klebsiella pneumoniae, carbapenem resistance, antimicrobial resistance, Hypervirulent Klebsiella pneumoniae (hvKp), Virulence factors.
| 10 |
Author(s):
Mintu Jana.
Page No : 1-15
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An Assessment of Sanitation Facilities, Hygiene Practices, and Socio-Economic Status of Slum Dwellers: A Case Study of Rupnarayan Chak, Haldia
Abstract
Rapid urbanization has led to the proliferation of slums, creating significant challenges for sustainable urban development and public health. This study examines the socio-economic conditions and sanitation status of the Rupnarayan Chak slum, located in the Haldia industrial belt of Purba Medinipur, West Bengal. The primary objectives were to assess water and sanitation facilities, hygiene practices, and the overall impact of these factors on the health and socio-economic well-being of the residents. The research findings reveal a predominantly poor housing environment, with 56.25% of dwellings classified as semi-pucca and 43.75% as kacha structures. While electricity access is relatively high at 88.75%, the community faces critical challenges regarding drainage, sewage facilities, and clean drinking water. Socio-economic analysis indicates that a significant portion of the population has reached secondary (26.05%) and higher secondary (21.83%) education levels, yet only 9% are graduates. Low income and poor living conditions have contributed to widespread malnutrition among women and children, as well as a high prevalence of water-borne and respiratory diseases. The study concludes that the lack of proper sanitation and basic amenities directly degrades the quality of life and health of the slum dwellers. It recommends urgent governmental and non-governmental interventions to improve housing, sanitation management, and access to healthcare to foster a more sustainable and equitable urban environment.
