Manuscripts

Recent Papers

Case Study

The Role of AI Tools like Chatgpt and Copilot in Revolutionizing Software Development and User Experiences

Artificial Intelligence (AI) has now entered organizations as a key driver of change in software engineering and UX design through such tools as the ChatGPT, and CoPilot among others. AI tools give developers incredible efficiency to improve their productivity, automate processes, and offer unique and better user experiences. This paper aims to evaluate the effects of hyping software developments with AI tools such as ChatGPT and CoPilot, the part they play in enhancing users’ experiences, and the complications involved. Some research findings present how these technologies affect Software Engineering practices regarding the future and theoretical questions that come with the gains of these innovations. AI tools are creating new frontiers when applying software engineering techniques. They act as enablers of increased productivity and creativity since they sift through dull, repetitive tasks, allow work in progress to occur in parallel, and provide a framework for development processes that were once limited to the realm of experts. Furthermore, they liberate developers to focus on dreaming and problem-solving as they code while promoting structures that take care of repetitive code writing, generating idiosyncratic documentation in real-time, and providing solutions. However, this transformation is accompanied by obstacles such as; AI call-for-duty dilemmas, issues of data privacy, developers’ overdependence, and skill degradation. This paper aims to explore their use to critically evaluate their usability to redefine paradigms in software development and user experience design. It also brings to the fore the importance of creating ethical guiding principles as well as very sound frameworks for the implementation of AI solutions. Lastly, tools such as ChatGPT and CoPilot represent a clear example of the transition to AI-enabled engineering, as distinct from AI-driven engineering, which marks a new age where the symbiosis of human creativity and artificial brainpower delivers results that have not been seen before.

Published by: Radhakrishnan Arikrishna Perumal

Author: Radhakrishnan Arikrishna Perumal

Paper ID: V11I1-1213

Paper Status: published

Published: February 2, 2025

Full Details
Research Paper

Nerve Sensitivity Identification by Explainable AI for Diabetic Patients’ Nerve Stress Point: A New Approach

Diabetic neuropathy, a common complication of diabetes, leads to impaired nerve sensitivity, particularly in the feet, resulting in an increased risk of foot ulcers, infections, and amputations. Current diagnostic techniques, often subjective and reliant on invasive procedures, fail to offer early detection of nerve damage, limiting timely interventions. This project leverages Explainable Artificial Intelligence (XAI) to create a diagnostic system aimed at identifying, categorizing, and analyzing foot dynamics and nerve sensitivity in diabetic patients. By utilizing XAI, the proposed system enhances interpretability, offering clinicians a transparent and reliable tool for early diagnosis and personalized treatment. Our solution focuses on capturing foot immersion and image data to assess nerve sensitivity, utilizing a four-point structural analysis to map foot dynamics and detect abnormalities. The system will also address the challenge of false diagnoses by distinguishing diabetic nerve damage from other nerve-related conditions using heat and frequency verification at the foot's nerve endings. The goal is to provide an objective, accurate, and interpretable diagnostic tool that empowers healthcare providers to improve patient outcomes by enabling timely interventions in diabetic neuropathy cases. The use of XAI ensures that the AI models are interpretable and transparent, allowing clinicians to understand the underlying factors influencing the diagnosis. This transparency is critical for clinical adoption, as it builds trust in AI-driven diagnostic systems. By integrating XAI into diabetic neuropathy diagnostics, this project seeks to revolutionize diabetic foot care, enabling more accurate and timely detection of nerve damage, reducing the risk of severe complications, and ultimately improving the quality of life for diabetic patients.

Published by: Chaitanya Jain, Aniruddha Bhaumik, Harsh Bhanushali

Author: Chaitanya Jain

Paper ID: V11I1-1211

Paper Status: published

Published: January 31, 2025

Full Details
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

Full Details
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

Full Details
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

Full Details
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

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X