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Advancements and Key Challenges in Green Energy and Computing (AKGEC), International Conference on
2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC)
21-23 Nov. 2024
Showing 1-25 of 107
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
62572 - AKGEC, 2024 (PRT)
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Table of Contents
Phishing Detection Using Machine Learning Technique
Nikesh Kumar Mandal;Abhi Upadhyay;Hrudaya Kumar Tripathy;Niranjan Sah;Vandana Sharma;Ahmed Alkhayyat
Publication Year: 2024,Page(s):1 - 5
In the modern world, the computer and Internet have become an entangled part of everyone’s life. The Internet is a connection of interconnected computers that can share resources, data and information all around the globe. Communication between larger distances, especially, people of different cultural background is possible with the introduction of Computer and Internet, which has helped in the e...Show More
The dynamism of web technologies and the emergence of advanced and intricate web applications strongly call for the definition of the software development life cycle paradigms from the perspective of web engineering discipline. Hybrid models like Waterfall, V-Model and Iterative Development have been in use for formal software development while recent development methodologies are Agile. Yet, thes...Show More
New Era of IoT with Cloud Computing: A review of Technology, Issues and Challenges
Suman Chahar;Kuldeep Singh Kaswan;Alankrita Aggarwal;Jagjit Singh Dhatterwal
Publication Year: 2024,Page(s):1 - 7
The convergence of Internet of Things (IoT) and cloud computing has unleashed unprecedented opportunities across various domains, revolutionizing industries, and redefining the way we interact with technology. This paper presents a comprehensive review of the symbiotic relationship between IoT and cloud computing, exploring the technological advancements, key issues, and challenges in this transfo...Show More
This study investigates various aspects of fixedwing Unmanned Aerial Vehicles (UAVs), from conceptual design to hardware implementation, focusing on control system development. Key UAV design characteristics and achievable flight modes are discussed. The mathematical model, including force, moment, and orientation equations, is presented. UAV Toolbox from MATLAB was used to develop control systems...Show More
Advanced Microstrip Patch Antenna Sensor Design for Salt and SugarDetection in Liquids to Support Health Monitoring
Publication Year: 2024,Page(s):1 - 5
To prevent many health diseases it is very essential that salt and sugar content should be consumed in appropriate amount in the food items. This study presents the design and advancement of a microstrip patch antenna for distinguishing saltiness and sugar levels. The proposed antenna works at 1.33 GHz that is powered by a microstrip line. Simulation and optimization of designed antenna are perfor...Show More
Paper Highway Turbines Powering Traffic Management System Using IoT
Sangeeta Singh;Harshit Garg;Archit Golas;Ankita Patel;Jayanti Kumari;Subhash Yadav
Publication Year: 2024,Page(s):1 - 5
This study intends to develop and put into practice a unique system that uses Internet of Things technology to power a smart traffic control system by utilizing wind energy from moving cars on roads. The technology uses permanent magnet synchronous generators (PMSGs) to convert wind energy into electrical power. The wind is captured by Savonius vertical axis wind turbines (VAWTs) from any directio...Show More
Techno-economic and environmental analysis of Amity University Noida rooftop SPV generation: Towards a Net zero future
Publication Year: 2024,Page(s):1 - 6
Solar power is more powerful than most people realize and is the most abundant source of energy. By utilizing solar PV panels, which transform sunlight into electrical energy, we can harness the power of the sun. To meet the educational campus’ energy needs, an on-grid solar photovoltaic (SPV) plant is assessed and examined in this study. Alongside extensive economic and environmental assessments ...Show More
Amipi: Artificial Intelligence Based Interactive Humanoid Interface
Publication Year: 2024,Page(s):1 - 6
The main focus of this paper is to find out how the Amipi model, an Artificial Intelligence-based Interactive Humanoid Interface, can redefine human-computer interaction. By integrating advanced facial recognition, natural language processing, and gesture recognition technologies, this model offers an intuitive and immersive user experience. The system’s architecture comprises a robust Windows ser...Show More
AAWAS: An Application and Workload-Aware Scheduling Technique for Efficient Task Allocation in Cloud Computing Environments
Publication Year: 2024,Page(s):1 - 6
One interesting aspect of distributed systems is cloud computing. It offers its services on an as-needed, pay-per-use basis. Research challenges in cloud computing include the scheduling and balance of tasks. Scheduling tasks entails assigning them to available resources (Virtual Machines), whereas load balancing is spreading out the work over multiple available resources. We offer a job schedulin...Show More
Exploring Different Bypass Schemes for Photovoltaic Modules in Partial Shading Conditions: A Comprehensive Analysis
D Saravanan;B Ganesh Reddy;Indu Bhardwaj;B Sai Hemanth;T Rehana;K Shankar
Publication Year: 2024,Page(s):1 - 6
Photovoltaic (PV) energy stands as a pivotal force in modern society, offering significant potential for reducing our carbon footprint. Despite its widespread adoption, commercial-grade PV modules face various technological challenges, notably hotspots caused by partial shading. Traditionally, a single bypass diode across one-third of module cells addresses this issue, but recent research shows it...Show More
Analysis of The Current Research Status of Reactive Power Compensation Technology for Power System Network
Abhishek Vashistha;G.S Chaurasia;Jitendra Kumar;Bhupendra Bisht;Dipankar Pramanick
Publication Year: 2024,Page(s):1 - 5
In practice, reducing reactive power to enhance system efficiency is a common objective. While this approach is generally beneficial, it can pose challenges in electrical systems that are purely resistive or capacitive. AC power systems involve the supply or consumption of two types of power: real power, which executes convenient effort, and reactive power, which provisions voltage points critical...Show More
Advanced Malware Classification Using Convolutional Neural Networks and Image Transformation Techniques
Shweta Bhattacharjee Porna;Md Zakir Hossain;Abdullah Al Naseeh Chowdhury;M Govind Raj;Roise Uddin;Mukit Al Elahi;Abdul Basit;Mohammad Aman Ullah Khan;Girigula Durga Bhavani
Publication Year: 2024,Page(s):1 - 5
Malware seriously compromises cybersecurity and calls for sophisticated and effective categorization methods to find and lessen its effects. This research article offers a complete method based on image processing and deep learning to classify malware. ResNet18, VGG16, VGG19, AlexNet, and our custom-designed MalwareNet are among the several deep learning models we use to categorize malware photos ...Show More
Recent Developments in Botnet Detection Tools and Techniques for IoT Security: A Review
Publication Year: 2024,Page(s):1 - 6
The Internet of Things (IoT) embodies a paradigm shift in technology, connecting a diverse array of devices to enhance operational efficiency and user convenience across industries, educational settings, and urban infrastructures. This paper provides an in-depth examination of IoT’s evolution, showcasing its profound impact on transforming traditional practices through interconnected smart systems...Show More
Modern Agriculture: A Review of Emerging Crop Yield Prediction Models Using Machine Learning
Publication Year: 2024,Page(s):1 - 6
Accurately predicting crop yields is a very critical component of global food safety and agricultural efficiency. Such is a multifaceted approach toward crop yield prediction explored in the present study. Anchoring on the Green Revolution and subsequent impact on crop diversity and resilience, it reviews how far a wide range of yield prediction models has evolved in terms of effectiveness, includ...Show More
Disparity-constrained Knowledge Distillation for Cyber-Physical Systems and Edge Devices
Publication Year: 2024,Page(s):1 - 7
Miniscule wearable devices with vast data from Cyber-Physical Systems and Internet of Things face challenges in storage, power, and compute due to limited resources. To adapt the state-of-the-art pre-trained models, models and data need to be processed using compression techniques like Knowledge Distillation for its application on edge devices. Knowledge Distillation is limited by student-teacher ...Show More
Serverless Cloud Computing: Navigating Challenges and Exploring Future Opportunities
Anju Das;M.S Parvathy Thampi;Karimunnisa Shaik;Chinmayi M Kashyap
Publication Year: 2024,Page(s):1 - 6
Serverless cloud computing stands out for its remarkable benefits, including cost reduction, scalability enhancement, and increased efficiency. This paper provides an in-depth analysis of significant shortcomings in serverless cloud computing, such as cold start latency, vendor lock-in, and the general lack of control over the cloud environment. This research introduces innovative approaches to ad...Show More
This review paper develops the current understanding of machine learning applications in the Structural health monitoring industry using Fiber Bragg Grating (FBG) sensors. We describe how this synergy transforms strain measuring, temperature sensing, and structural health monitoring based on analysis of papers and case studies. In addition to aspects involving these sensors, the discussion of how ...Show More
Machine Learning-driven Antenna Selection Strategies for Fading MIMO Systems
Deepak Upadhyay;Kunj Bihari Sharma;Mridul Gupta;Abhay Upadhyay;Nookala Venu
Publication Year: 2024,Page(s):1 - 6
In this study, we investigate better performing antenna selection strategies in wireless communication systems based on machine learning algorithms. Reinforcement learning as well as neural networks among others are analysed for different metrics such a bit error rate (BER), signal-to-noise ratio (SNR) and data throughput. These results show that these methods are working well against the dynamic ...Show More
Optimal Resource Allocation in Dynamic Fading Channels via Meta-Learning Techniques
Deepak Upadhyay;Kunj Bihari Sharma;Mridul Gupta;Abhay Upadhyay;Nookala Venu
Publication Year: 2024,Page(s):1 - 6
In this paper, we address the optimally dynamical resource allocation problem for fading channels utilizing meta-learning methods with an application to improve efficiency and performance in wireless communication systems. Extensive experiments are conducted and our meta-learning model has demonstrated the ability to adapt itself dynamically in various channel conditions, leading to improvement of...Show More
Parkinson Prediction Using Voice Data and Machine Learning Algorithms
Publication Year: 2024,Page(s):1 - 6
Parkinson’s disease is a prevalent neurological disorder affecting a significant portion of the global population. Early diagnosis is crucial for effective intervention and management, leading to improved patient outcomes. This study evaluates Parkinson’s disease by analyzing speech data, which typically shows distinct variations in affected individuals. Apply leverage advanced machine learning te...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
62572 - AKGEC, 2024 (PRT)
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