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Survey Report

Training Evaluation Report on Modified WHO Hypertension Protocol and Simple App Software

Non-communicable diseases (NCDs), particularly cardiovascular diseases (CVDs), pose a significant health challenge globally and in Sri Lanka, contributing to substantial morbidity and mortality. Hypertension, a major risk factor for CVDs, remains underdiagnosed and poorly managed in Sri Lanka. A two-day training programme based on the Modified WHO Hypertension Protocol and the Simple App software was conducted for 23 healthcare professionals (11 medical officers and 12 nursing officers) in the Kalutara district to enhance their knowledge and skills in hypertension management. The training included lectures, practical sessions, and interactive discussions. Pre- and post-training assessments were conducted using a structured questionnaire to evaluate changes in knowledge, attitudes, and practices (KAP). Results revealed a significant improvement in KAP, with average scores increasing from 7.14 pre-training to 18.33 post-training. Awareness and proficiency in using the Simple App for hypertension management increased markedly, from 6 to all 23 participants. These findings demonstrate the effectiveness of structured training and digital tool integration in improving hypertension management. Regular training and evaluation are recommended to sustain and expand these outcomes.

Published by: Dr. SGD Sasanka, Dr. WPYG Pathirana, Dr. S Nandasena, Dr. YK Samarasighe, Dr. Udaya Rathnayaka, Dr. Champika Wickramasinghe

Author: Dr. SGD Sasanka

Paper ID: V11I1-1197

Paper Status: published

Published: January 31, 2025

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Case Study

Metallurgical Changes and Process Optimization During Forging of Connector Box-Pin- A Comprehensive Study

This paper investigates the forging process and its effect on the metallurgical properties of connector box-pin, essential components in oil and gas during oil drilling operations. The study focuses on understanding the microstructural changes and the changes in mechanical properties that occur during different stages of forging and how these changes influence the mechanical properties. Key process parameters such as temperature, strain rate, reduction ratios and cooling methods were evaluated for their impact on the final product. Mechanical testing, including tensile, hardness, and Impact test, was carried out to assess and validate its performance in real-world applications. The results show that optimal process control during forging leads to improved microstructure, mechanical properties, and product reliability.

Published by: Deepak Kamal, Dr. Jaidev Chandel

Author: Deepak Kamal

Paper ID: V11I1-1253

Paper Status: published

Published: January 30, 2025

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Review Paper

Automation of Solar Dryer

The automation of solar dryers improves their efficiency, reliability, and usability by incorporating modern technology into traditional drying methods. This project aims to design an automated solar dryer system that utilizes a PIC16F877A microcontroller, DHT22 sensors for monitoring temperature and humidity, and a stepper motor for stirring. The system features a heating mechanism and a pulley system to avoid overheating, while LoRa communication and the Blynk app facilitate real time data transmission and notifications. The proposed solution seeks to optimize drying processes, enhance energy efficiency, and minimize manual intervention. This research underscores the potential of automated solar dryers in both agricultural and industrial settings, highlighting their sustainability and scalability for wider adoption.

Published by: Prajakta Wanjale, Eshwari Durgade, Vaishnavi Phadtare, Vasant Deokamble

Author: Prajakta Wanjale

Paper ID: V11I1-1244

Paper Status: published

Published: January 29, 2025

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Research Paper

Would Arthashastra-inspired policies have led to better Economic Outcomes for Post-Colonial India?

After independence from Britain in 1947, the Indian government’s economic policies under Prime Minister Nehru intended to lay the foundations for a new, prosperous nation. However, until the reforms of the 1980s and 1990s, India’s economy struggled with a notoriously low “Hindu rate of growth” and the stifling bureaucracy of the “License Raj.” Nehruvian policy took inspiration from Western Socialist doctrine, discarding ancient Indian economic insights, such as those enshrined in Kautilya’s Arthashastra. Written in the fourth century BCE, the Arthashastra is widely regarded as a seminal text on economy and statecraft in the ancient world. Its approach, focusing on market and trade-friendly policies, in many ways, contrasted with the Nehruvian approach. This paper examines the extent to which the implementation of the Arthashastra’s tenets would have led to better economic outcomes for post-independence India, focusing on the early years of independence in the 1950s and 60s. It models this through an analysis of likely economic outcomes based on experience in other countries and post-liberalization India. The paper critically examines the social, political, and economic context of post-independence India and their impact on economic policy, concluding that while there was some sound rationale for the Nehruvian policies India adopted for its post-colonial economy, a progressive, if not immediate, implementation of the Arthashastra’s ideas would have advanced the arrival of growth and prosperity in India. Moreover, it concludes that this debate transcends questions of economics, pointing more broadly to how India can learn from the wisdom of its past as it moves forward on its path of progress instead of only looking westward for inspiration and role models.

Published by: Aaditya Sengupta Dhar

Author: Aaditya Sengupta Dhar

Paper ID: V11I1-1241

Paper Status: published

Published: January 29, 2025

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Research Paper

India and the United States a Dynamic Trade Relationship in the Global Economy

This article explores the trade relationship between India and the United States, examining its historical evolution, current trade dynamics, and prospects. The bilateral trade between the two countries has been characterized by growth, despite challenges such as tariffs, trade imbalances, and regulatory concerns. The analysis covers various aspects, including key industries, trade agreements, and the role of government policies in shaping the trade landscape.

Published by: Dr. Amaan Anjum

Author: Dr. Amaan Anjum

Paper ID: V11I1-1216

Paper Status: published

Published: January 29, 2025

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Research Paper

Anomaly Detection in SDN-enabled Cloud-Fog Collaborative Networks

Software-defined networking (SDN) has brought about a paradigm shift in network management and control, offering increased flexibility and automation capabilities. This transformation is particularly relevant in the context of smart cities, where integrating IoT devices and smartphones is essential for delivering efficient and responsive city services. As SDN gains prominence, the security of these devices in fog computing environments becomes a critical concern for maintaining the integrity and reliability of smart city infrastructures. Effective access control mechanisms are needed to safeguard the network, tailored to the unique requirements of SDN networks. These mechanisms are crucial for smart cities, where many devices and systems need to interact seamlessly while maintaining high-security standards. Additionally, KPI anomaly detection in SDN networks poses challenges due to the real-time processing of copious data. To address these challenges, this paper proposes a cloud-fog collaborative architecture with a GAN-GRU model for malicious activity detection. This architecture is designed with smart cities in mind, where fog nodes divide the network into subregions, mirroring the geographical divisions of a city. The cloud is responsible for model training, while fog nodes execute detection tasks, ensuring a responsive and efficient system for anomaly detection. The proposed method outperforms benchmark algorithms in terms of precision, recall, and F1 score, demonstrating its potential for implementation in smart city infrastructures. Furthermore, the impact of time window length on anomaly detection is analyzed, revealing optimal performance with a window length of 70. This paper also introduces a reputation-based access restriction management mechanism, demonstrating its effectiveness in preventing unauthorized access while ensuring secure operations.

Published by: Ibraheem Kateeb, Yasser Ahmed

Author: Ibraheem Kateeb

Paper ID: V11I1-1217

Paper Status: published

Published: January 29, 2025

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