Experimental Study of Strength and Behaviour of Clayey Soil using Sawdust Ash and Lime
Authors- Asst. Prof. Jeron.R, UG Student Saajan Simon, UG Student Sobu Geevarghese Thampan, UG Student Romy Philip, UG Student Shibin Varghese
Abstract- This study assesses the geotechnical characteristics of lateritic soil and sawdust ash lime (SDAL) mixtures. Preliminary tests were carried out on the natural soil sample for identification and classification purposes. The sawdust was mixed with lime for stabilization in the ratio 2:1. This mixture was thereafter added to the lateritic soil in varying proportions of 2, 4, 6, 8 and 10% by weight of soil. The main objective of the project was to study about stabilization of clayey soil using Saw Dust Ash and Lime. Index properties of parent soil, Atterberg Limits, compaction characteristics and UCC of both parent soil and soil treated with saw dust ash and lime were found out. All the tests were conducted by following the Indian standards guidelines. It was found that the utilization of the industrial wastes like saw dust ash is an alternative to stabilize the soil for various construction purposes however this study clearly shows that when an activator like lime is added to the sawdust ash the results are very encouraging. One can easily realize after the results that with small percentage of activator, SDA an industrial waste can be efficiently used in soil stabilization. This can reduce construction cost of the roads particularly in the rural areas of developing countries like India.
A Study of The increasing Slum Population In India And Its Effects On The Livlehood Of Urban Areas In Terms Of Geographical Perspective
Authors- Dr. K.C. Sharma, Lecturer
Abstract- While India’s economy continues to boom since the last so many decades and Swachh Bharat Abhiyaan (Clean India Mission) entering into second year, it’s 360 million poorest citizens remain among those living in some of the most dilapidated conditions in the world. The slums have become the indispensable and dark side of our country, which we can’t boast of are the slums. Due to rising population, the number of slum dwellers rising in Indian cities. Slums area always lack by some basic necessities of Life clean water, electricity and sanitation. The inhabitants are mostly rickshaw puller, sex workers, seasonal small vendors, house maid servants with a family income ranging from a meager Rs.1500 to Rs.3000. After a hard and low-earning working day, most of the men spend their daily earnings on homemade illicit liquor. Status of woman’s in slum is not respect ful, they used to do prostitution to full fill their basic needs to survive. The slum population is constantly increasing: it has doubled in the past two decades.
The Roles of Parent-Teachers’ Socioeconomic Status and Parental Involvement on Their Children’s Academic Achievement in the Time of Pandemic
Authors- Dr. John Mark Distor
Abstract- Children’s academic achievement is crucial in this time of health crisis as learning challenges and opportunities aroused. With the development of the new normal education environment, the current study evaluated the degree of parent-teachers’ involvement and socioeconomic status, as well as their relationship on children’s academic achievement. This study primarily utilized a descriptive-correlational research design. Data were gathered using an adopted survey questionnaire administered to 39 public school parent-teachers. The results of the study revealed that; (1) majority of the respondents were Bachelor’s degree holder, employed as Teacher I position with Salary Grade 11. Parent-teachers’ socioeconomic status was generally measured in terms of their highest educational attainment, teaching position, and salary grade (monthly income); (2) parent-teachers were very involved with their children’s academic achievement; (3) despite of the pandemic, majority of the children have achieved outstanding academic performance, while others have received satisfactory average grades; (4) there is significant positive correlation between teaching position and salary grade (income) of parent-teachers and their children’s academic achievement; (5) and there is no significant relationship and a comparatively tiny negative correlation between parent-teachers’ involvement and academic achievement of the children. Thus, parent-teachers have taken on a greater role, were very proactive in educating and nurturing their young children while still functioning as a teacher of other students. To offer financial support and to provide conducive home environment for learning activities for children remarkably linked their academic achievement.
Java Dump Analysis: Techniques and Best Practices
Authors- RamaKrishna Manchana
Abstract- This paper explores the methods, tools, and best practices involved in Java Virtual Machine (JVM) dump analysis, specifically focusing on thread, heap, and core dumps. The goal is to provide a comprehensive understanding of how these dumps can be utilized to diagnose performance issues, memory leaks, and application failures in Java applications.
DOI: /10.61463/ijset.vol.6.issue2.103
Leveraging Spring Boot for Biometric SaaS Applications in Hybrid Cloud
Authors- Dr. Vinayak Ashok Bharadi
Abstract- This study presents a Spring Boot-based architecture for deploying biometric authentication systems in a Software-as-a-Service (SaaS) model. Inspired by Ramakrishna Manchana’s 2017 insights into Spring Boot, the proposed framework enables batch processing for large-scale biometric datasets and integrates seamlessly with public and hybrid cloud platforms. By leveraging Java frameworks, the system ensures modularity, scalability, and efficient resource utilization. The framework’s design supports dynamic workload distribution and secure data management, making it suitable for real-time biometric applications in resource-constrained environments.
DOI: /10.61463/ijset.vol.6.issue2.104
Node Position Based Multi – Hop Routing For Fanets
Authors- Dhiren Kumar
Abstract- In this work, we provide a stateless position-based packet routing method for a flying ad-hoc network (FANET). The goal of this project is to collect all available geographical data about the network. The node is directed to its target using its address and coordinates. Here, we introduce UAV technology to improve position-based multicarrier transmission in 3D spaces. The DRL algorithm is used by this ad hoc network while in flight. Together, DRL and LAR ensure timely arrival at the final destination. In this research, we present a decentralized intelligent routing approach using deep reinforcement learning (DRL) that takes into account the state of symmetrical nodes between two hops. The approach takes into account the location, velocity, load degree, and connection quality of nodes in the establishing process of state components, allowing for a more complete understanding of the local dynamic of the network. Using the Q values computed by the model during training of Deep Q-Networks, the nodes may do an adaptive neighbor selection. The simulation and analytical results demonstrate that the suggested technique has superior performance to various widely used methods and offers strong convergence characteristics.
DOI: /10.61463/ijset.vol.6.issue2.105
A Critical Discourse Analysis of John F. Kennedy’s Inaugural Address (1961) Using Fairclough’s Model
Authors- Radwan Alkarrash
Abstract- This research applies Norman Fairclough’s Critical Discourse Analysis (CDA) to analyze John F. Kennedy’s inaugural address delivered on January 20, 1961. The speech undergoes CDA analysis to study how language builds ideological frameworks, displays power relationships, and creates political identities. The research investigates how Kennedy employed lexical choices, rhetorical devices, pronouns, metaphors and appeals to establish American global leadership while promoting domestic unity against both domestic civil rights tensions and foreign cold war pressures. The research investigates the relationship between the speech’s linguistic elements and its historical and socio-political setting.
DOI: /10.61463/ijset.vol.6.issue2.106
XSLT and Document Transformation in Workday Integrations: Patterns for Accurate Outbound Data Transmission
Authors: Santhosh Kumar Maddineni
Abstract: Accurate and reliable data transmission is critical in Workday integrations, especially when sending information to external vendors, payroll systems, and regulatory bodies. This paper explores the use of XSLT (Extensible Stylesheet Language Transformations) in Workday integrations to enable precise and flexible outbound document formatting. It focuses on how XSLT is used within Workday Studio and Core Connectors to transform Workday’s XML-based output into external schema formats such as CSV, JSON, or vendor-specific XML layouts. Common transformation patterns are discussed, including field mapping, conditional logic, iterative processing, and dynamic value replacement. Real-world examples illustrate how XSLT enables integration teams to accommodate complex data requirements such as multi-record grouping, flattened structures, and localized formatting without altering Workday source configurations.
Post-Production Defect Resolution in Workday Projects: Insights from Global Implementation Support
Authors: Santhosh Kumar Maddineni
Abstract: Post-production defect resolution is a critical phase in the Workday project lifecycle, where the stability, reliability, and user confidence in the system are tested in real-world conditions. This paper presents insights from global Workday implementations, focusing on structured approaches to identifying, prioritizing, and resolving defects after go-live. It outlines common categories of post-production issues—ranging from security misconfigurations and business process errors to integration failures and reporting inaccuracies—and explains how organizations can establish a sustainable support model to manage them effectively. Key strategies include the use of ticketing systems for root cause tracking, SLAs for timely resolution, and dedicated triage teams to separate urgent fixes from enhancement requests. The paper also emphasizes the importance of knowledge transfer, configuration documentation, and regression testing to reduce recurring issues. Real-world case studies highlight lessons learned from global rollouts, particularly in coordinating cross-functional teams, managing time zone differences, and maintaining consistent change control practices.
Multi-Format File Handling in Workday: Strategies to Manage CSV, XML, JSON, and EDI-Based Integrations
Authors: Santhosh Kumar Maddineni
Abstract: Workday, as a comprehensive cloud-based Human Capital Management (HCM) and Financials platform, supports varied business integration needs by enabling seamless communication with external systems. This paper explores multi-format file handling capabilities in Workday integrations, particularly focusing on CSV, XML, JSON, and Electronic Data Interchange (EDI) files. Through an in-depth discussion of transformation strategies, real-time and batch processing approaches, and error-handling techniques, this study outlines best practices for designing resilient and scalable file-based integrations using Workday Studio, Enterprise Interface Builder (EIB), and Core Connectors.
Dimensional Modeling Reimagined: Enhancing Performance And Security With Section Access In Enterprise BI Environments
Authors: Ajay Kumar Kota
Abstract: Dimensional modeling has long been the foundation of Business Intelligence (BI), providing a structured framework for organizing enterprise data into facts and dimensions that enable consistent reporting and analysis. However, the exponential growth of data volumes, increasing demands for real-time analytics, and heightened regulatory pressures have exposed the limitations of traditional dimensional models. This article reimagines dimensional modeling in the context of modern enterprise BI environments by focusing on two critical priorities: performance optimization and security enforcement. It first revisits the foundations of dimensional modeling, examining the strengths and challenges of star and snowflake schemas in large-scale deployments. The discussion then explores advanced performance optimization techniques such as fact table partitioning, indexing, surrogate keys, and pre-aggregated fact tables, illustrating how these approaches reduce query latency and improve dashboard responsiveness. The article further emphasizes the growing importance of data security, particularly in regulated industries, and highlights the role of Section Access in enabling fine-grained, role-based control over data visibility.