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Engineering Proceedings, Volume 62, Issue 1

2024 CC 2023 - 26 articles

The 2nd Computing Congress 2023

Chennai, India | 28–29 December 2023

Volume Editors:
Geetha Ganesan, Jain (Deemed-to-be) University, India
Xiaochun Cheng, Swansea University, UK
Valentina Emilia Balas, "Aurel Vlaicu” University of Arad, Romania

Cover Story: The Advanced Computing Research Society’s Second Computing Congress (28–29 December 2023) to be held in Chennai, India, offers a platform for researchers to present their work, engage in discussions and contribute to advancements in various computing domains. This congress invites discussions on topics such as Security and Privacy, Software Engineering, Artificial Intelligence, Internet of Things (IoT), Robotics, and more. This event will feature notable keynote speakers and a diverse Technical Program Committee. Researchers are encouraged to participate, share their insights and collaborate with peers to further our collective knowledge in the ever-evolving landscape of computing research.
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Articles (26)

  • Proceeding Paper
  • Open Access
1,227 Views
12 Pages

On Statistical Properties of a New Family of Geometric Random Graphs

  • Kedar Joglekar,
  • Pushkar Joglekar and
  • Sandeep Shinde

We define a new family of random geometric graphs which we call random covering graphs and study its statistical properties. To the best of our knowledge, this family of graphs has not been explored in the past. Our experimental results suggest that...

  • Proceeding Paper
  • Open Access
2 Citations
1,361 Views
14 Pages

Examining Techniques to Enhance the Security and Privacy of IoT Devices and Networks against Cyber Threats

  • Imran Qureshi,
  • Mohammed Abdul Habeeb,
  • Syed Ghouse Mohiuddin Shadab,
  • Burhanuddin Mohammad,
  • Mohammed Irfan,
  • Syed Muhammad Shavalliuddin and
  • Mohit Gupta

Improvements in technology have led to further enhancements in cyber security threats. Additionally, the mass application of IoT technology and networks has made the ecosystem vulnerable to cyber-attacks. Thus, this study focuses on analysing methods...

  • Proceeding Paper
  • Open Access
7 Citations
5,237 Views
6 Pages

Facial Expression Recognition Using Pre-trained Architectures

  • Resmi K. Reghunathan,
  • Vineetha K. Ramankutty,
  • Amrutha Kallingal and
  • Vishnu Vinod

In the area of computer vision, one of the most difficult and challenging tasks is facial emotion recognition. Facial expression recognition (FER) stands out as a pivotal focus within computer vision research, with applications in various domains suc...

  • Proceeding Paper
  • Open Access
2 Citations
1,905 Views
9 Pages

Comparing New Wireless Sensor Network Protocols through Simulation and Data Analysis

  • Himanshu Agarwal,
  • Atul Pratap Singh,
  • Ajeet Singh,
  • Amit Kumar,
  • Pratik K. Agrawal and
  • S. Saranya

The resource-constrained nature of wireless sensor networks (WSNs) creates a number of difficulties in their operation and design that lower their performance. However, distinct applications with unique constraints in their nature make it more diffic...

  • Proceeding Paper
  • Open Access
6 Citations
3,215 Views
9 Pages

One of the diseases that is constantly spreading and is estimated to cause a significant number of deaths worldwide is diabetes mellitus. It is determined by the quantity of a blood sugar molecule made from glucose. The possibility of this disease ha...

  • Proceeding Paper
  • Open Access
1 Citations
1,825 Views
7 Pages

Traffic Signal Control System Using Contour Approximation Deep Q-Learning

  • R. S. Ramya,
  • K. K. Bharath,
  • K. Revanth Krishna,
  • Kancham Jaswanth Reddy,
  • Maddipudi Sri Bhuvan and
  • K. R. Venugopal

A reliable transit system is essential and offers a lot of advantages. However, traffic has always been an issue in major cities, and one of the main causes of congestion in these places is intersections. To reduce traffic, a reliable traffic control...

  • Proceeding Paper
  • Open Access
1 Citations
5,689 Views
8 Pages

The Development of Early Flood Monitoring and a WhatsApp-Based Alert System for Timely Disaster Preparedness and Response in Vulnerable Communities

  • P. Kavitha,
  • Yatheesh.K.C.,
  • Akash Anand,
  • Sruthi Sreenivasan,
  • Hashim Mohammed S,
  • Naiwrita Borah and
  • Dhrubajyoti Saikia

Although many innovations have been achieved and natural disasters are well known to be extremely detrimental to persons and property, there is still no 100% assurance that alerts and real-time monitoring will work. Vulnerable communities sometimes r...

  • Proceeding Paper
  • Open Access
4 Citations
4,236 Views
7 Pages

Implementation of an Advanced Health-Monitoring System Capable of Real-Time Analysis and Alerting

  • Kumari Pragya Prayesi,
  • Shabana Azami,
  • Vineet Raj Singh Kushwah,
  • Sagarika Nayak,
  • Santosh Yerasuri,
  • T. Sumallika and
  • Mohit Gupta

The integration of technology into healthcare has moved from being a luxury to being a need at a time when there is an ever-increasing focus on individual health and wellbeing. The real-time monitoring of one’s health metrics and prompt alerts...

  • Proceeding Paper
  • Open Access
5 Citations
2,270 Views
8 Pages

Mobile edge computing (MEC), which is now gaining a lot of momentum, allows users to use its services with low latency, location awareness, and mobility assistance to offset the drawbacks of cloud computing. The quality of the experience, reduced lat...

  • Proceeding Paper
  • Open Access
1 Citations
3,990 Views
7 Pages

Domination Number in the Context of Some New Graphs

  • Slashi Leel,
  • Sweta Srivastav,
  • Sangeeta Gupta and
  • Geetha Ganesan

Let G = (V, E) be a graph, where D is a subset of V, such that the set of vertices in the set (V-D) is adjacent to at least one vertex in set D. Then, set D is known as the domination set. In other words, a dominating set in graph G is a set of verti...

  • Proceeding Paper
  • Open Access
1,540 Views
6 Pages

Neuroscience Empowering Society: BCI Insights and Application

  • Harish S. Sinai Velingkar,
  • Roopa Kulkarni and
  • Prashant Patavardhan

The study of brainwaves and brain–computer interfaces (BCIs) or brain–machine interfaces (BMIs) has emerged as a transformative field with the potential to revolutionize society’s well-being. This technical paper delves into the mul...

  • Proceeding Paper
  • Open Access
2 Citations
2,540 Views
10 Pages

Indian diet has changed over the years as a result of geographic, cultural, and traditional influences. However, Western influences have recently had a substantial impact, including changes in eating behaviors and an increase in the consumption of fa...

  • Proceeding Paper
  • Open Access
15 Citations
4,704 Views
7 Pages

Machine Learning-Based Classification of Autism Spectrum Disorder across Age Groups

  • Resmi Karinattu Reghunathan,
  • Poornima Nanjagoundan Palayam Venkidusamy,
  • Raju Gopalakrishna Kurup,
  • Bindu George and
  • Neetha Thomas

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that has gained significant attention in recent years due to its increasing prevalence and profound impact on individuals, families, and society as a whole. In this study, we ex...

  • Proceeding Paper
  • Open Access
1 Citations
1,789 Views
7 Pages

A Survey on Applications of Distributed Ledger Technology in Healthcare

  • Shinzeer C. K.,
  • Ajay Shriram Kushwaha and
  • Avinash Bhagat

Blockchain technology is a distributed, accessible, open, and decentralized digital ledger used in healthcare to record transactions between devices. It addresses issues like data integrity, privacy, and confidentiality. The COVID-19 pandemic has acc...

  • Proceeding Paper
  • Open Access
2,131 Views
5 Pages

ChatGPT-Powered URL-Based Research Paper Summarizer

  • Krishnaveni Srinivasan,
  • Geetha Ganesan and
  • Eashwar Sivakumar

Generative Pre-Trained Transformer (GPT) models excel in text generation, text compilation, and language-related tasks. ChatGPT is based on the GPT model that responds to queries and has human-like conversational capabilities. This includes writing p...

  • Proceeding Paper
  • Open Access
9 Citations
7,396 Views
13 Pages

A Comprehensive Review of Metaverse: Taxonomy, Impact, and the Hype around It

  • Gagandeep Kaur,
  • Rashi Pande,
  • Ritika Mohan,
  • Shlok Vij,
  • Poorva Agrawal,
  • Purushottam Shobhane,
  • Latika Pinjarkar,
  • Shruti Maheshwari and
  • Pooja Bagane

There has been widespread interest in the concept of the metaverse in recent years. The aim of this comprehensive review paper is to provide an in-depth analysis of the taxonomy, technological foundations, and historical evolution of the metaverse. T...

  • Proceeding Paper
  • Open Access
11 Citations
7,027 Views
7 Pages

Enhancing Fire and Smoke Detection Using Deep Learning Techniques

  • Sujith Chitram,
  • Sarthak Kumar and
  • S. Thenmalar

This exploration focuses on the effective detection of fire and smoke in various environments, both indoors and outdoors, through the application of real-time object detection and image-processing deep learning algorithms. Capturing the essence of ou...

  • Proceeding Paper
  • Open Access
1 Citations
2,453 Views
8 Pages

In 2023, global data revealed that approximately 2.2 billion people are affected by some form of vision impairment. By addressing the specific challenges faced by individuals who are blind and visually impaired, this research paper introduces a novel...

  • Proceeding Paper
  • Open Access
11 Citations
3,142 Views
9 Pages

Self-Adaptive Waste Management System: Utilizing Convolutional Neural Networks for Real-Time Classification

  • Siddharth Bhattacharya,
  • Ashwini Kumar,
  • Kumar Krishav,
  • Sourav Panda,
  • C. M. Vidhyapathi,
  • S. Sundar and
  • B. Karthikeyan

29 February 2024

This research presents a novel Self-Adaptive Waste Management System (SAWMS) that integrates advanced technology to address the pressing challenges of waste sorting and classification. SAWMS leverages Convolutional Neural Networks (CNNs) in conjuncti...

  • Proceeding Paper
  • Open Access
8 Citations
12,923 Views
10 Pages

Social Media in the Digital Age: A Comprehensive Review of Impacts, Challenges and Cybercrime

  • Gagandeep Kaur,
  • Utkarsha Bonde,
  • Kunjal Lalit Pise,
  • Shruti Yewale,
  • Poorva Agrawal,
  • Purushottam Shobhane,
  • Shruti Maheshwari,
  • Latika Pinjarkar and
  • Rupali Gangarde

There are very renowned social media platforms like Instagram, Twitter, Facebook, etc., with each of which being used by different shareholders across the world to communicate with each other. Social media is a pool of online communication platforms...

  • Proceeding Paper
  • Open Access
3 Citations
2,295 Views
7 Pages

29 February 2024

The emergence of multi-access edge computing (MEC) has brought about significant advancements in application design and deployment by providing computing resources at the network’s edge. MEC provides computing resources on the fringes of the ne...

  • Proceeding Paper
  • Open Access
14 Citations
1,952 Views
7 Pages

Development of an Artificial Neural Network-Based Image Retrieval System for Lung Disease Classification and Identification

  • Atul Pratap Singh,
  • Ajeet Singh,
  • Amit Kumar,
  • Himanshu Agarwal,
  • Sapna Yadav and
  • Mohit Gupta

28 February 2024

The rapid advancement of medical imaging technologies has propelled the development of automated systems for the identification and classification of lung diseases. This study presents the design and implementation of an innovative image retrieval sy...

  • Proceeding Paper
  • Open Access
14 Citations
3,667 Views
8 Pages

A Framework for Early Detection of Glaucoma in Retinal Fundus Images Using Deep Learning

  • Murali Govindan,
  • Vinod Kumar Dhakshnamurthy,
  • Kannan Sreerangan,
  • Manikanda Devarajan Nagarajan and
  • Suresh Kumar Rajamanickam

28 February 2024

Glaucoma is a highly perilous ocular disease that significantly impacts human visual acuity. This is a retinal condition that causes damage to the Optic Nerve Head (ONH) and can lead to permanent blindness if detected in a late stage. The prevention...

  • Proceeding Paper
  • Open Access
43 Citations
11,944 Views
8 Pages

Brain Tumor Detection and Classification Using Transfer Learning Models

  • Vinod Kumar Dhakshnamurthy,
  • Murali Govindan,
  • Kannan Sreerangan,
  • Manikanda Devarajan Nagarajan and
  • Abhijith Thomas

28 February 2024

Diagnosing brain tumors is a time-consuming process requiring radiologist expertise. With the growing patient population and increased data volume, conventional procedures have become expensive and ineffective. Scholars have explored algorithms for d...

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Eng. Proc. - ISSN 2673-4591