Volume 13 | Issue 3 |

 Abstract

V.O. Chidambaranar Port (VOC Port) in Thoothukudi plays a crucial role in transportation and distribution, handling significant cargo volumes, including containers and coastal traffic, and has seen record performances in recent years.VOC Port has handled impressive volumes of cargo, with a significant increase in container traffic and coastal traffic.The port has set records for single-day cargo handling, container handling, and coastal traffic.In FY 2022-23, the port handled 12.57 MMT of coastal traffic, the highest ever.VOC Port handled 7,39,246 TEUs of containers during the financial year 2018, surpassing the previous record of 6,97,631 TEUs in 2017-18.VOC Port has been declared a hub for green hydrogen and ammonia under the National Green Hydrogen Mission.The port has implemented an RFID-based port entry system for cargo trucks, container trucks, vehicle equipment, and personnel. The DPE facility, operated by CWC, is seeing good traffic. The port has multiple berths, including general cargo berths, container terminals, coal jetties, and oil jetties.The port has several developmental projects underway, including the construction of North Cargo Berths and ERP implementation. The port recorded the highest ever Operating Income and total Income in FY2022-23. VOC Port aims to become a preferred Indian Port and an enabler of economic activity in the port ecosystem.

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 Keywords

," "Tuticorin Port," "Thoothukudi Port," "freight," "logistics," "shipping," "container," "cargo," "terminal," "port operations," "infrastructure," "customs," "bonded warehouse," "backhaul," "demurrage," "detention," "contract carrier," and "supply chain

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A nonlinear analysis is an analysis where a nonlinear relation holds between applied forces and displacements. These analyses are generally done for High Rise Buildings. One such structure which is used for analysis in this project is Outrigger structural system. Outriggers are interior lateral structural systems provided to improve the overturning stiffness and strength of high-rise buildings. The main aim of this project is to optimize the position and number of outriggers and compare the time history results to check the feasibility. After Optimization it was found that the optimum position was approximately at the center for all models and optimum number of outriggers for 25, 50, 75 and 100 story buildings were 5, 5, 7 and 10 respectively. The P-? effect also played its role considerably in higher story buildings and it had no role in 25 story building. The reduction in displacement was 50 % in 25 story building and it has increased to 62 % in 100 story building which tells that outriggers are more efficient in high rise structures. Also, shorter buildings have undergone periodic vibration with respect to the acceleration during time history analysis but taller buildings due to longer time period, it took time to transfer the acceleration to top story and they undergo damped oscillation after the end of ground motion which concludes that taller buildings are effective against seismic forces compared to shorter buildings which is why short buildings are designed with much care against seismic forces.

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 Keywords

Outrigger Structure, Nonlinear Dynamic analysis, Inter Story Drift, Optimum Position.

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Inclusive education is a transformative approach aimed at ensuring equitable learning opportunities for all students, regardless of their abilities, backgrounds, or socioeconomic status. In developing nations, however, achieving true inclusion is often hindered by cultural, contextual, and systemic barriers. This article explores the multifaceted challenges faced in implementing inclusive education and highlights opportunities for addressing these issues to create more equitable educational systems. Key obstacles include deeply rooted social stigmas, inadequate teacher training, lack of resources, and limited awareness about inclusive practices. Additionally, economic constraints and infrastructural disparities exacerbate these challenges, particularly for marginalized groups such as women, Dalits, Tribals, and persons with disabilities. Despite these barriers, significant opportunities exist to enrich inclusive education in developing nations. Community-driven initiatives, government policies emphasizing equity, and international frameworks such as the UN's Sustainable Development Goals (SDGs) provide a foundation for progress. Innovations in technology and education delivery models, such as blended learning and mobile classrooms, also present practical solutions for reaching underserved populations. The article emphasizes the importance of a multi-stakeholder approach involving governments, non-governmental organizations, educators, and communities to drive meaningful change. Case studies from successful inclusive education projects highlight best practices and scalable strategies that can be adopted across various contexts. Breaking barriers to inclusion requires not only policy and resource development but also a cultural shift towards embracing diversity as a strength. By addressing systemic inequities and enriching collaboration, developing nations can create inclusive educational environments that empower all learners to realize their full potential and contribute to their communities.

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 Keywords

Inclusive education, Developing nations, Educational equity, Marginalized communities, Disability inclusion, Sustainable Development Goal 4 (SDG 4), Educational access, Social equity, Teacher training, Cultural stigma, Policy reforms, Community-based approaches, Educational barriers, Gender equality in education, Socioeconomic disparities, Resource limitations, Educational innovation, Technological integration, Universal education, Education for all, Diversity in classrooms, Global education goa

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Key steps in budgeting include setting realistic financial goals, maintaining records of income and expenses, planning for emergencies, and implementing practical tools and tricks for budgeting. Techniques such as dividing income between savings and checking accounts, preparing a balanced budget, and managing discretionary spending contribute to achieving financial stability. Ultimately, family budgeting serves as a guiding framework that empowers households to make informed financial choices, aligning their spending with their values and aspirations while paving the way for a secure financial future. Creating a financial plan to manage a household's anticipated income and expenses over a given time period is known as family budgeting, and it's a crucial process. This method normally starts with calculating total monthly income and categorizing expenses as fixed or variable. To reflect changes in income and spending, budgets need to be reviewed and modified frequently. Family budgeting's main objectives are to manage expenses effectively, foster saving habits, and advance financial literacy and analysis. Effective budgeting enables families to manage resources more wisely, cut wasteful spending, and alleviate financial stress. By working together on budgeting, family members improve their communication, accountability, and responsibility for financial decisions.

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Forecast, Frittering, Fiscal, Cheapskate.

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This project introduces an AI powered healthcare companion designed to detect diseases from symptoms in real-time. Leveraging machine learning (ML) and Python-based technologies, the system integrates a structured dataset comprising 500 symptoms and 165 diseases to predict potential health conditions with high accuracy. The system evaluates five classification algorithms--Support Vector Classifier (SVC), Random Forest, Gradient Boosting, Decision Trees, and Logistic Regression--to determine the most effective approach for disease prediction.

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Keywords: prediction, Rajeswari Kolla Computer Science and Engineering- Artificial Intelligence & Machine Learning Dhanekula Institute of Engineering and Technology Vijayawada, India Personalized machine healthcare, learning, disease healthcare recommendation, Streamlit, Random Forest

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The up-gradation of a conventional lathe machine into a versatile turn-milling machine. The project involved a meticulous retrofitting process, incorporating cutting-edge technologies such as Variable Frequency Drives (VFDs), motor drives, servo motors, and ball screws. The integration of these advanced components aimed to significantly enhance the machine's capabilities, precision, and overall performance. The VFDs played a pivotal role in enabling precise control over the spindle speed, facilitating a wider range of machining operations. The incorporation of motor drives ensured smooth and efficient power transmission to the machine's components, contributing to improved productivity. The implementation of servo motors provided precise control over the X and Z axes, enabling complex milling operations with exceptional accuracy. Finally, the installation of ball screws replaced the traditional lead screws, resulting in smoother motion, reduced backlash, and enhanced positional accuracy. Through this up-gradation, the lathe machine was transformed into a multifunctional turn-milling machine, capable of handling a broader spectrum of manufacturing tasks. The project not only showcased the potential of retrofitting existing machinery but also demonstrated the effectiveness of integrating modern technologies to revitalize conventional manufacturing processes.

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 Keywords

Lathe machine, Milling machine, Variable frequency drive, Motor drive, Stepper motor, Ball screw, spindle, Gear, chuk, CNC.

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Artificial Intelligence (AI) has significantly transformed second-language acquisition by providing personalized, interactive, and adaptive learning experiences. This research examines AI's role in Hindi as a Second Language (HSL) learning, emphasizing key technologies such as Natural Language Processing (NLP), Machine Learning (ML), and Speech Recognition. AI-driven platforms, including Duolingo, Google Translate, ChatGPT, and Language Curry, enhance pronunciation, grammar comprehension, vocabulary acquisition, and fluency. Despite these advancements, AI-based language learning tools encounter challenges such as contextual inaccuracies, cultural nuances, idiomatic expressions, and regional dialect variations. This study evaluates AI's effectiveness in overcoming these limitations and highlights areas requiring improvement, including the development of more sophisticated NLP models, AI-human hybrid learning approaches, and expanded Hindi-language datasets for ML training. The findings suggest that while AI enhances Hindi language learning, further refinements are needed to address linguistic complexities effectively. The paper concludes with recommendations for future advancements in AI-driven language education, aiming to make Hindi learning more intuitive and effective.

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Artificial Intelligence (AI); Hindi Language Learning; Natural Language Processing (NLP); Machine Learning (ML); Speech Recognition; Adaptive Learning; AI-driven Education.

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Monkeypox is an emerging zoonotic disease caused by the monkeypox virus, a member of the Orthopoxvirus genus. The disease presents with symptoms similar to smallpox but is less severe and less contagious. Historically endemic in Central and West Africa, monkeypox has recently emerged as a global health concern, with outbreaks in non-endemic regions. The virus spreads through direct contact with infected individuals, animals, or contaminated materials. Diagnosis is primarily based on PCR testing, while treatment focuses on supportive care, antiviral medications, and vaccination. This paper explores the epidemiology, clinical features, diagnosis, and treatment of monkeypox, emphasizing the need for continued surveillance and global preparedness

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 Keywords

Monkeypox virus, zoonotic disease, epidemiology, clinical features, diagnosis, treatment, antiviral therapy, vaccination, Orthopoxvirus.

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Data protection and security have become critical concerns in the digital era. As organizations increasingly rely on databases for storing sensitive information, ensuring the security of these databases is paramount. Microsoft SQL Server (MS-SQL) offers various security features, but without proper implementation, databases remain vulnerable to cyber threats. This research paper explores the best practices, security mechanisms, and challenges associated with data protection in MS-SQL Server, making it an ideal presentation topic for a workshop. It provides an in-depth analysis of common security threats, preventive measures, and strategies for safeguarding data integrity.

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 Keywords

Database Security, SQL Server, Data Protection, Cyber security, Workshop Presentation

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Creative Commons Attribution 4.0 and The Open Definition

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The "Smart Shoes" project presents a groundbreaking solution for addressing the challenges faced by visually impaired individuals in navigating their surroundings. By leveraging state of the -art technology, including sensors, artificial intelligence algorithms, and wearable devices, the project aims to provide real-time environmental perception and navigation assistance to the blind. Through a meticulously designed system, the device interprets visual information and translates it into accessible formats such as auditory cues or tactile feedback, enabling users to perceive and interact with their environment effectively. The Smart Shoes device is tailored to adapt to diverse environments and user preferences, ensuring a personalized and intuitive experience for each user. Moreover, the project incorporates user- centered design principles to prioritize user feedback and enhance usability and functionality continuously. The implementation of the Smart Shoe project involves a multidisciplinary approach, drawing expertise from fields such as engineering, computer science, and accessibility design. Collaborations with visually impaired individuals and advocacy groups have been instrumental in shaping the project's development, ensuring that it addresses genuine needs and reflects the lived experiences of its intended users. Additionally, rigorous testing and iteration processes have been conducted to fine the system's performance and usability, with a focus on reliability, accuracy, and user satisfaction.

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 Keywords

Smart shoes

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Creative Commons Attribution 4.0 and The Open Definition