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检索条件"任意字段=3rd IEEE International Conference on e-Science and Grid Computing"

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IoT environmental Monitoring with Anomaly Detection 3

IoT Environmental Monitoring with Anomaly Detection

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Abhiram, D. Dhanush Reddy, K. Koushik Reddy, P. Rajagopal, Shinu Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bangalore India

ISBN: (纸本)9798331527549

This project proposes an IoT-based environmental evaluation system taking into consideration its surroundings through a microcontroller eSP8266 and sensor DHT11. The system reads the current temperature and humidity in addition to providing alerts for changes as well as threshold and sensor integrity issues. It contains context awareness and adaptive monitoring. It connects to the Arduino IoT Cloud, which allows users to monitor data in real-time, or receive notifications, or set up thresholds right from the mobile or web application. The features such as real-time monitoring, real-time anomaly detection, and remote access make this project practical as the key application for smart homes, farming and industries applications. © 2025 ieee.

关键词： Microcontrollers

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Intelligent computing System for Breast Cancer Identification utilizing U-Net for Digital Image Segmentation 3

Intelligent Computing System for Breast Cancer Identificatio...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Goli, Ranadheer Reddy Jadala, Vijaya Chandra Jamalpur, Bhavana Department of Computer Science and Artificial Intelligene School of Computer Science and Artificial Intelligence SR University Telangana Warangal506371 India

ISBN: (纸本)9798331527549

As per WHO calculation of deaths, globally due to Breast Cancer is around one million. Breast cancer can be cured by early detection, in which abnormal breast cells proliferate uncontrollably, leading to tumor formation. early detection of breast cancer may reduce deaths, as per World Health Organization records there are about one million deaths are caused by 2024 among them only 0.5 percent are of men. The different methodologies adopted in medical image processing related to breast cancer detection methods include mammography. We concentrated on medical image segmentation which helps to get visual information about breast tissue. This paper presents an intelligent computing system designed to support medical image processing through utilizing U-Net methodology for segmentation as part of deep learning methodologies. As part of experimental Analysis, a BUSI dataset is used for the implementation of Deep Learning methodologies. A graphic analysis based on medical images, followed by an analysis of the results. This Intelligent computing System based on artificial intelligence helps radiologists, medical professionals, and doctors with early and simplified breast cancer diagnosis. © 2025 ieee.

关键词： Breast Cancer Intelligent System Segmentation U-Net

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enhancing Data Security and Privacy in Cloud computing: A Survey of Modern Techniques 3

Enhancing Data Security and Privacy in Cloud Computing: A Su...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Suganya, N. Gouthami, P. Sathiya, R. Sivaranjani, S. Murugesan, M. Department of Computer Science and Business Systems Dr. N.G.P. Institute of Technology Coimbatore India Department of Information Technology Thangavelu Engineering College Chennai India Departement of Electrical and Electronics Engineering Sri Krishna College of Engineering and Technology Coimbatore India Departement of Electrical and Electronics Engineering Karpagam Institute of Technology Coimbatore India

ISBN: (纸本)9798331527549

A computing system that is based on the internet and offers users all resources as on-demand services. Servers, storage, databases, software, and networking are among these on-demand services. Usually, the user must pay for the use of the resources;they are not their property. The number of people using this technology is increasing dramatically as a result of these features. Although it has benefits, cloud computing poses certain security and privacy risks. The authorized user’s data can be stolen easily. This current research thoroughly investigates modern strategies to these problems, highlighting identity management protocols, effective encryption and blockchain-based solutions. The article identifies research gaps, focuses attention to the inadequacies of current approaches, and recommends the possible ways to improve the efficiency, scalability and trustworthiness. © 2025 ieee.

关键词： Cloud security

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Understanding Cybercrime: A Study of Malware Analysis, Phishing Attacks, and Sentiment Trends 3

Understanding Cybercrime: A Study of Malware Analysis, Phish...

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3rd international conference on Intelligent and Innovative Technologies in computing, electrical and electronics, IITCee 2025

作者： Kumaran, U. Sreeraag, G. Narendran, Advik Meena, V.P. Gupta, Sushil Kumar Appaji, Abhishek Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bangalore India National Institute of Technology Department of Electrical Engineering Jharkhand Jamshedpur831014 India Bms College of Engineering Department of Medical Electronics Engineering Bangalore India

ISBN: (纸本)9798331515911

With the rapid evolution of computer systems and technologies, individuals face an increasing threat of cybercrime. This research explores the changing landscape of cybercrime by focusing on three key areas: malware analysis, phishing attack analysis, and sentiment analysis. The study aims to identify malware strategies for evading detection and analyze the prevalence of spyware by examining diverse malware samples. Additionally, trend analysis highlights the rising complexity and frequency of phishing attacks, with a notable shift toward targeting reputable platforms. Sentiment analysis of media headlines surrounding data breaches uncovers a paradox: while concerns about cybersecurity remain, there is a growing confidence in the ability to manage cybersecurity crises. These findings provide insights into emerging threats and evolving public perceptions, offering a comprehensive understanding of the current cyber- crime landscape. © 2025 ieee.

关键词： Phishing

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Percepti Alarm: A Beacon of Safety and Autonomy Leveraging OCR and ML 3

Percepti Alarm: A Beacon of Safety and Autonomy Leveraging O...

引用

3rd international conference on Intelligent and Innovative Technologies in computing, electrical and electronics, IITCee 2025

作者： Priya, N. Cyril, Pretty Diana Geetha, Geetha Preethi, Preethi Nhce Dept of Ise Bengaluru India Srm Institute of Science and Technology Dept of Computing Technology India Bnmit Dept of Cse Bengaluru India Manipal Institute of Technology Dept of Information Technology Bengaluru India

ISBN: (纸本)9798331515911

Percepti-Alarm is a groundbreaking endeavor aimed at revolutionizing the lives of the visually impaired. It introduces a transformative solution by integrating a high-tech camera onto the conventional white cane, offering real-time environmental scanning and object recognition *** innovative system works by capturing live visual data, processing it with a sophisticated algorithm, and seamlessly conveying the findings to the user through a discreet Bluetooth earphone. What sets Percepti-Alarm apart is its ability to not just alert the user to the presence of objects but to also verbally articulate the nature of these objects. By delivering comprehensive situational awareness through speech, Percepti-Alarm empowers the blind to confidently navigate their surroundings. This project is not only a triumph of technology but a testament to the profound impact it can have on the lives of those with visual impairments, facilitating independence, safety, and inclusion. It marks a significant stride towards a more equitable and accessible world for the blind © 2025 ieee.

关键词： Optical character recognition

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Fault Analysis of an Inverter Interfaced Multi-Location DG Based Microgrid Under grid Integration 3

Fault Analysis of an Inverter Interfaced Multi-Location DG B...

引用

3rd ieee international conference on Industrial electronics: Developments and Applications, ICIDeA 2025

作者： Sahu, Prakash Chandra Jha, Sumit Kumar Samantaray, Subhransu Ranja Sahoo, Buddhadeva School of Electrical and Comp. Science Indian Institute of Technology Bhubaneswar India SR University Department of Electrical & Electronics Engineering Telengana Warangal506371 India

ISBN: (纸本)9798331533205

This research paper presents the current and voltage level of an inverter interfaced multi-location distributed generation (DG) based power system under fault and pre-fault scenarios. The DG system simple comprises photo-voltaic cells in integration with voltage source converter (VSC). The integration of the PV based DG system with existing grid is done through current control mode of the PV set. The fault current level of a conventional grid is normally 8 to 10 times of the rated current. In inverter interfaced electrical grid, the fault current restricted to 2 to 3 times of the rated current which may lead to mal operation of the installed relay. This research assignment focuses over voltage and current level at different location of an inverter interfaced grid under a symmetric L-L-L fault scenario. The suggested current controller has anticipated a PI control scheme for making necessary control action in DG set. Since, the grid rating is high as compared to each individual DG, the major contribution for the fault current is shared by the utility grid. Finally, it is also observed that the fault current level is restricted below 3 times of the rated current due to penetration of VSC based inverter. © 2025 ieee.

关键词： Proportional control systems

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Mitigating Security Challenges in edge computing: Attacks, Defence Strategies, and Algorithms 3

Mitigating Security Challenges in Edge Computing: Attacks, D...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Matta, Venkata Durga Rao Maheswara Rao, V.V.R. Battula, Venkata Sai Jayasurya Addagatla, Mahesh Babu Computer Science and Engineering Department Vishnu Institute of Technology Andhra Pradesh Bhimavaram India Computer Science and Engineering Department Shri Vishnu Engineering College for Women Andhra Pradesh Bhimavaram India

ISBN: (纸本)9798331527549

edge computing has emerged as a crucial paradigm to fulfill the increasing demand for rapid data processing, low latency, and efficient resource utilization, particularly in applications such as the Internet of Things (IoT), smart cities, autonomous vehicles, and automated industrial systems. By processing data closer to its source, edge computing minimizes reliance on centralized cloud infrastructures, thereby improving response times and optimizing bandwidth. However, this transition also presents significant security challenges, including heightened risks of Distributed Denial of Service (DDoS) attacks, data breaches, and unauthorized physical access to edge nodes. This paper conducts a comprehensive analysis of these security vulnerabilities, presenting a framework that integrates advanced defence mechanisms and algorithms tailored to enhance data protection and resource management in edge environments. Our findings indicate that the proposed strategies effectively mitigate identified threats while maintaining system performance. Furthermore, we outline ongoing challenges related to scalability, interoperability, and data governance, providing insights into future research avenues aimed at fortifying edge computing systems against evolving security threats. This study contributes to a deeper understanding of the critical role edge computing plays in the domain of next-generation computing technologies. © 2025 ieee.

关键词： Cloud security

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Design and Simulation of an Intelligent Traffic Management System Using Vehicular Networks 3

Design and Simulation of an Intelligent Traffic Management S...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Tapan Datta, P. Lalith Kumar, D. Tanoj, S. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

In this study, the reasearch is focused on the simulation of vehicular communication networks, especially intelligent traffic systems, to enhance dependability, safety, and optimality in communication. The simulation is performed using the OMNeT++ simulator and is integrated with the Veins framework that uses the ieee 802.11p protocol for V2V and V2I communications. Importing real-world traffic scenarios into the framework is obtained via the use of SUMO through TraCIScenarioManager. Other features of the framework include the definition of mobility models, dynamic obstacles, and detailed radio propagation modeling. TraCIDemo11p is used for mobility and communication by both RSUs and vehicles with applications in beaconing and channel switching. The whole framework analyzes smart traffic management solutions, providing as much insight into their performance based upon the communication reliability and overall efficiency in vehicular networks. © 2025 ieee.

关键词： Highway administration

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Maximizing Throughput and Minimizing Latency: evolutionary Algorithms for Optimizing Wireless Cellular Networks 3

Maximizing Throughput and Minimizing Latency: Evolutionary A...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Pechetti, Jyoshitha Yadav, Sneha Tarunya, G. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

In the rapidly evolving world of wireless cellular network, optimizing key parameters like data throughput and latency is of critical importance for ensuring high quality communication services. The proposed presents a novel approach to multi-objective optimization to enhance overall network performance using Genetic Algorithms (GA), Pareto, and Particle Swarm Optimization (PSO). By employing optimization algorithms, a balance is sought in terms of trade-off of other parameters while maximizing data throughput and minimizing latency. Simulation layers indicate the comparative study further solidifies the efficacy of the value of evolutionary algorithms in optimizing wireless networks to satisfy the growing needs of high speed and less latency services in today’s communication landscape. © 2025 ieee.

关键词： Optimization algorithms

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Smart Glasses for Blind Assistance: A Lightweight and ergonomic Approach 3

Smart Glasses for Blind Assistance: A Lightweight and Ergono...

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Shreevatsan, S.S. Annambhotla, Yasasree Lasya Reji, Anaswara Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

Individuals who are blind or have reduced vision often struggle to navigate their environments, as traditional tools like canes offer limited information. While smart glasses have the potential to assist, existing models face challenges such as being heavy, uncomfortable, expensive, and lacking effective features for real-time navigation. These limitations hinder usability and diminish the overall user experience. This work presents a cost-effective prototype of lightweight and ergonomic smart glasses designed to enhance navigation and safety for individuals with visual impairments. By integrating obstacle detection sensors, real-time feedback mechanisms, and a user-centric design, the proposed solution aims to promote mobility, independence, and comfort while remaining accessible to a wider user base. © 2025 ieee.

关键词： Obstacle detectors

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