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A Review on the Minimization of Energy Consumption in Blockchain technology 8

A Review on the Minimization of Energy Consumption in Blockc...

引用

8th International Conference on Electronics, Materials engineering and Nano-technology, IEMENTech 2025

作者： Paul, Aniket Das, Baisakhi Institute of Engineering and Management Kolkata Dept. Information Technology Kolkata India

ISBN: (纸本)9798331520762

Blockchain is considered one of the most innovative technologies and applied across various fields with applications in, for example, education, business, and many more. First introduced as the technology that underlies Bitcoin, blockchain has since evolved to an important means of safekeeping digital information without involving intermediaries. With growing popularity among businesses, there are rising concerns about environmental impacts, particularly energy usage. Blockchain is known for extremely high energy consumption because of the agreement methodologies applied, specifically Proof of Work(PoW). The paper addresses blockchain technology, namely the various algorithms generated and their influence on the environment. It also looks into emerging concepts and strategies in reducing the energy impact of blockchain technology, including moving to Proof of Stake (PoS), hybrid consensus approaches, and exploiting renewable energy sources. © 2025 IEEE.

关键词： Effluents

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Application to Enhance the Programming Knowledge of Children 6

Application to Enhance the Programming Knowledge of Children

引用

6th International Conference on Advancements in Computing, ICAC 2024

作者： Dissanayake, Anuga Lakpriya, Vishwa Sanjeevan, Mahendran Fahmi, Ahamed Siriwardana, Samanthi E.R. Samaraweera, Mihiri Sri Lanka Institute of Information Technology Dept. of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798331517878

This proposal outlines the development of a comprehensive educational platform aimed at bridging the information technology knowledge gap among Tamil-speaking students in Sri Lanka. The platform is designed to enhance programming skills through personalized quizzes, hands-on projects, and adaptive learning models. The application focuses on two primary components: the first component emphasizes project-based learning and assessments, leveraging advanced Artificial Intelligence models for generating educational content. This model is combined with Retrieval-Augmented Generation, which retrieves relevant external information to refine and tailor the educational content to each student's needs. This component keeps students engaged and challenged at appropriate levels, promoting deeper understanding and practical information technology skills. The second component involves a Level-based IT Fundamental Knowledge Evaluation system, which incorporates machine learning algorithms to predict student performance, recommend customized learning paths, and assess overall technical knowledge. The platform also integrates the OpenAI Application Programming Interface, which provides real-time Tamil translation, making the content more accessible to the target demographic. The platform empowers educators to better address individual student needs with real-time feedback and tailored experiences. Its innovative approach enhances information technology education, equipping Sri Lankan students with essential programming skills to succeed globally. © 2024 IEEE.

关键词： Adversarial machine learning

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Inspection of Ethical and Privacy Concerns in Online Social Networks

Inspection of Ethical and Privacy Concerns in Online Social ...

引用

2025 International Conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025

作者： Chandana, D.M. Sankalp, M.R. Kathavate, Sheela Aruna, S. Bms Institute of Technology and Management Dept. of Information Science and Engineering Bengaluru India

ISBN: (纸本)9798331538538

As the prevalence of Online Social Networks (OSNs) are created, it is apparent that questions related to ethics and privacy become more ambiguous and this paper aims at giving an overview on privacy concomitants and ethical concerns surrounding OSNs, with especial attention to the susceptibility of the user data, ethical dilemmas with regard to content regulating and the impact of policies and regulations. The proposed system provides the entry to establish the enhanced, sound, and fairly protected user privacy and ethical policies for OSNs with the help of boosted privacy-related settings, decentralised identity management, the utilisation of homomorphic encryption, and federated learning. It also underlines the need to have adaptive privacy dashboards, information accessibility real-time data, and other ethical measures keeping risks like cyberbullying and unauthorized usage of data checked. The study also examines new trends which have been occasioned by artificial intelligence in content moderation and the legal development aspect of it. As much as this survey focuses on current practices and asks questions in support of proactive measures, it seeks to enlighten policy makers on the best practices to engage in and create awareness to positive handling of user data in OSNs for the safety of users, as well as promoting ethical usage of the social networking systems. © 2025 IEEE.

关键词： Tweets

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HealthGuard: A Blockchain-Based Framework for Secure EHR management

HealthGuard: A Blockchain-Based Framework for Secure EHR Man...

引用

2025 International Conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025

作者： Jaiswal, Vandit Singh, Roshan Srinivas, B.V. Kumar, Shreyash B.M.S. Institute of Technology & Management Dept. of Information Science and Engineering Bangalore India

ISBN: (纸本)9798331538538

Traditional Electronic Health Record (EHR) systems experience centralized vulnerabilities which explain how healthcare data breaches reach about 45% of cases. Operability requirements reveal patient data to multiple entities which creates breakable data structures that compromise security. Blockchain technology gives patients an alternative system that operates with decentralized security while maintaining transparency. HealthGuard exists to provide medical patients complete control over their healthcare records with built-in privacy features and educational decision solutions. The authentication security comes from Ethereum combined with Metamask services while decentralized storage solutions create revolutionary methods to protect sensitive information. The system operates more efficiently because smart contracts simplify connections between patients and their healthcare providers including lab technicians. Healthcare facilities can achieve advanced data protection through blockchain storage which improves patient care interconnectivity with individualized care plans. The combination of smart contracts together with decentralized applications helps reduce healthcare administration costs which leads to efficiency growth. Through blockchain technology the healthcare system develops better security and changes toward patient-centered care which enables people to manage their health information actively. © 2025 IEEE.

关键词： Electronic health record

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Developing and Training a Mathematical Model for Optimizing a Given Interior Space of a Supermarket

Developing and Training a Mathematical Model for Optimizing ...

引用

2023 International Research Conference on Smart Computing and Systems engineering, SCSE 2023

作者： Alahakon, Shalitha Siriwardana, Tharindu Udupihilla, Deshan Wickramasinghe, Tharukshi Rajapaksha, Samantha Sri Lanka Institute of Information Technology Dept. Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350341454

Retailers are crucial in supply chains, acting as the bridge between consumers and resources. However, there is limited analytic-based literature on block design in grocery stores. This paper employs an algorithmic approach with optimization techniques to efficiently design the interior space of a provided supermarket. The objective is to create an analytical method for handling design issues without relying on human-centered approaches. Using data from supermarket store arrangements, the paper showcases efficient space utilization by aligning item measurements with customer needs. Decision variables offer decision makers a precise collection of non-dominated designs. Previous studies demonstrate the effectiveness of this approach in analytically designing a data-driven structure for supermarket block layouts. The model identifies layouts that maximize space utilization while meeting industry standards. Although primarily focused on Asian retailers, the approach is generally applicable due to the similarity of grocery store layouts worldwide. The method and results are easily translatable for other retailers. © 2023 IEEE.

关键词： Python

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Adapting Pedagogical Frameworks to Online Learning: Simulating the Tutor Role with LLMs and the QUILT Model 6

Adapting Pedagogical Frameworks to Online Learning: Simulati...

引用

6th International Conference on Advancements in Computing, ICAC 2024

作者： Madhubhashana, Sandaru Ranhinda, Vibhashana Jayakody, Dineth Shavinda, Lakmuthu Nawarathne, Malithi Haddela, Prasanna Sri Lanka Institute of Information Technology Dept. of Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Malabe Sri Lanka

ISBN: (纸本)9798331517878

This paper presents SoloScholar, a novel asynchronous online learning platform designed to deliver personalized education to large undergraduate student groups by integrating established pedagogical frameworks with Large Language Models (LLMs). Leveraging Bloom's Revised Taxonomy, learners are categorized into beginner, intermediate, and advanced levels to personalize the educational content. The platform employs the Questioning and Understanding to Improve Learning and Thinking (QUILT) model to structure tutorial sessions and simulate the teaching role of a tutor at a Higher Education institute (HEI). To generate contextually relevant and cognitively appropriate questions, carefully crafted prompts are fed into LLMs, synthesizing information from reliable knowledge sources. The efficacy of SoloScholar was evaluated through a dual assessment approach: a technical evaluation using the Retrieval Augmented Generation Assessment (RAGAS) framework and a human evaluation involving academic experts. The technical evaluation demonstrated high scores in answer relevancy and context utilization across all learning levels. Similarly, quantitative responses from academic experts indicated strong satisfaction with the quality and appropriateness of the generated content. The findings underscore the potential of integrating LLMs with pedagogical models to enhance personalization in online education. SoloScholar effectively addresses challenges associated with large-group teaching by providing adaptive learning experiences that cater to diverse cognitive needs. © 2024 IEEE.

关键词： Contrastive Learning

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Implementing RDMA over Soft-RoCE with Basic eBPF Monitoring: A Cost-Effective Approach for High-Performance Data Communication

Implementing RDMA over Soft-RoCE with Basic eBPF Monitoring:...

引用

2025 International Conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025

作者： Kagal, Suresh Narasimha Murthy, M.S. Mutalikdesai, Tejas Yugal Kishore, V. Tejaswini, T.V. Bms Institute of Technology and Management Dept. of Information Science & Engineering Karnataka Bengaluru India

ISBN: (纸本)9798331538538

RDMA is a technology that enables extremely fast communication between different systems by allowing these systems to transfer data without using the CPU and operating system. This results in the rapid transfer of data and reduces latency in data transfer. RDMA, brings more efficiency in moving the data between systems, improving general performance and responsiveness in many applications as CPU is not involved in the data transfer. Traditional RDMA solutions usually require special and costly hardware, such as RoCE adapters. This can make them less accessible for companies with lesser budgets. Soft-RoCE is a software-based solution that brings RDMA capabilities to standard Ethernet hardware. In this way, we can replicate the benefits that RDMA offers without the expensive equipment, hence making it possible in environments where it would not have been feasible. Also, an innovative monitoring framework using eBPF is introduced, which offers comprehensive real-time intelligence to RDMA performance by decreasing the latency and throughput. © 2025 IEEE.

关键词： Budget control

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Improving Fake News Detection with a Mixture of Experts: Leveraging Sentiment Analysis and Sarcasm Detection as Core Expert Models 6

Improving Fake News Detection with a Mixture of Experts: Lev...

引用

6th International Conference on Advancements in Computing, ICAC 2024

作者： Gunasekara, Tharindu Thihan, Disira Kodithuwakku, Sansika Dissanayake, Dinuka Fernando, Harinda Vidhanaarachchi, Samitha Sindhujan, Archchana Sri Lanka Institute of Information Technology Malabe Dept. of Software Engineering Sri Lanka Sri Lanka Institute of Information Technology Malabe Dept. of Computer Computer Systems Engineering Sri Lanka University of Surrey Dept. of Computer Science and Electronic Engineering United Kingdom

ISBN: (纸本)9798331517878

Fake news continues to proliferate, posing an increasing threat to public discourse. The paper proposes a framework of a Mixture of Experts, Sentiment Analysis, and Sarcasm Detection experts for improved fake news detection. This approach captures the emotional cues in the text through a Sentiment Analysis expert, which is based on bidirectional encoder representations from Transformers (BERT) models with sentiment vectors generated using SentiWordNet and Integrated Gradients. It combines a sarcasm detection expert based on BERT, recognizing sarcasm and its type to help classify fake news. By fusing these experts through a Mixture of Experts gateway, subtle linguistic cues often found in fake news are more effectively analyzed, leading to improved accuracy in detecting misinformation. Experimental results are presented as 96% for the Sarcasm expert with the BERT base model and 83% for the Sentiment Analysis expert with the distilled version of the BERT (DistilBERT) base model, proving the effectiveness of the proposed approach in beating traditional methods. © 2024 IEEE.

关键词： fake news detection gateway mixture of experts sarcasm detection sentiment analysis

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Simplifying Structure and Pattern in Complex Social Networks Using Graph Isomorphism 14

Simplifying Structure and Pattern in Complex Social Networks...

引用

14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Arunakumari, B.N. Kshama, S.B. Swasti, S. Sameeksha, B.H. Puri, Sonia Rubini, P.A. Bms Institute of Technology and Management Dept. of Computer Science and Engineering Bengaluru India Bms Institute of Technology and Management Dept. of Information Science and Engineering Bengaluru India

ISBN: (纸本)9798350335095

In recent years, networks have grown in size and complexity, traditional network testing methods have become time-consuming and inefficient. As a result, there is a need for more efficient and reliable network testing methods. One important topic in the field of network testing is graph pattern matching. Network analysis relies on graph pattern matching. The paper discusses the use of graph isomorphism for network testing. This paper also gives an overview of recent advances in isomorphism testing, which determines if two networks are structurally identical despite potential labeling discrepancies between them. The combination of isomorphism and pattern matching in network analysis is used to identify equivalent structures in different networks. This approach is used to identify and compare common patterns in complex network structures, such as those found in social networks. © 2023 IEEE.

关键词： Pattern matching

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CapsiScan: Autonomous Robotic System for Monitoring and Managing Greenhouse-Based Capsicum Farms 5

CapsiScan: Autonomous Robotic System for Monitoring and Mana...

引用

5th International Conference on Advancements in Computing, ICAC 2023

作者： Jayakody, E.R.T. Rabel, W.T.T. Estrop, R.D.V. Herath, K.G.L.P. Harshanath, S.M.B. Abeygunawardhana, Pradeep K. W. Sri Lanka Institute Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. of Software Engineering Colombo Sri Lanka

ISBN: (纸本)9798350358131

The automation of processes in greenhouses provides a significant advantage to the agricultural sector. Due to the rapid growth of the population, increasing demand for food and labor shortage make the autonomous monitoring and management of agricultural work more important. Capsicum is a largely consumed vegetable in South Asia, which can be efficiently grown in greenhouses. Although there are many capsicum farms, they lack quality and efficient production to match the increasing demand. This paper proposes a robotic system for use in capsicum greenhouses that can navigate and monitor the plants to identify diseases, track the yield, and take remediation actions. The robot navigates to each plant in the greenhouse autonomously by using the SLAM approach with the use of laser range sensor data. The 4 DoF robotic arm of the robot has a camera and a sprayer attached to its end to investigate plants and spray remedies to diseased plants. The robotic arm moves around the plant to capture the images to detect deceases and count the pods to estimate the yield. The sprayer of the robot sprays remedies precisely to targeted plants to control pests and diseases. The system was successfully implemented and tested with the proposed functions. © 2023 IEEE.

关键词： Greenhouses

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