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Revolutionizing Renewable Sources of Energy using IoT: Impact and Challenges

Revolutionizing Renewable Sources of Energy using IoT: Impac...

引用

2023 international conference on IoT, Communication and automation Technology, ICICAT 2023

作者： Kanchan, Pratik Singh, Avishkar Kumar Guruprasad, N. Global Academy of Technology Department of Computer Science and Engineering Karnataka Bengaluru India

ISBN: (纸本)9798350302820

The use of Internet of Things (IoT) technology in renewable energy is examined in this study. The efficiency and productivity of renewable power plants must be increased to meet the rising demand for renewable energy. By enabling real-time monitoring of numerous parameters like dust collection, temperature, weather, and so forth, IoT offers a solution to this issue. The production of energy can be improved using these statistics. The paper also addresses the many IoT sensors that can be used to construct such a system and the difficulties that must be overcome for its adoption. The study's findings show how the Internet of Things (IoT) has the power to revolutionise renewable energy sources and open the door to greater effectiveness, financial success, and environmental sustainability. © 2023 ieee.

关键词： Renewable energy resources

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Fast Vehicular TSN Network Reconfiguration with Application Aware Network Synchronization 29

Fast Vehicular TSN Network Reconfiguration with Application ...

引用

29th ieee international conference on Emerging Technologies and Factory automation, ETFA 2024

作者： Stöhrmann, Dominik Ernst, Rolf Institute of Computer and Network Engineering Technische Universität Braunschweig Germany

ISBN: (纸本)9798350361230

In-Vehicle Networks (IVN) are under intense pressure to be both resource efficient at low cost and flexible enough for the future. The deployment of a large number of new sensors for autonomous driving and self-awareness significantly increases the demand for network resources. In addition, statically designed networks lack flexibility or have large over-provisioning of resources due to the dynamics of network traffic. Application-aware resource management addresses both of these issues. It allows the network to be reconfigured while controlling application requirements, increasing resource utilization, and providing flexibility for future demands. Our timestamp-based reconfiguration protocol ensures fast, lossless reconfiguration of high bandwidth data connections. Based on global time synchronization, it enables precise reconfiguration without increasing the risk of data loss and reduces the risk of inconsistent network configurations by exploiting the object slack created by large object transfers consisting of hundreds of individual packets. Using software-based Linux switches as the network, we demonstrate the use of the reconfiguration protocol under real-world conditions. © 2024 ieee.

关键词： Resource allocation

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Improving DNSGA-II based on Transfer Learning of Population Feature 8

Improving DNSGA-II based on Transfer Learning of Population ...

引用

8th international conference on Electrical, Mechanical and computer engineering, ICEMCE 2024

作者： Xue, Tongxia Shi, Xuhua Tongxia Xue Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China

ISBN: (纸本)9798331506230

Dynamic multi-objective optimization problems (DMOPs) are common in real-world applications. To effectively address these problems, algorithms are required to maintain solution diversity and quickly adapt to environmental changes. Transfer learning is a promising approach for tackling dynamic multi-objective optimization. In this paper, a transfer learning evolutionary optimization method based on population distribution characteristics is proposed for solving DMOPs. First, mutual information is used to calculate the correlation between the optimal solutions from two consecutive environments before the environmental change. Then, the distribution characteristics of the highly correlated population individuals are extracted as valuable knowledge for the transfer process. This information is employed to guide the generation of new population individuals, which are then randomly introduced into the initial population generated by the DNSGA-II-A algorithm in the new environment, forming an improved initial population. Experimental results demonstrate that, the proposed DMOEA-TLF exhibits significant advantages in convergence and diversity in most cases. © 2024 ieee.

关键词： Optimization algorithms

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Unlocking a New Era in Human-computer Interaction with Transformative AI Virtual Mice for Unparalleled Accessibility, Hygiene, and User Experience

Unlocking a New Era in Human-Computer Interaction with Trans...

引用

2024 ieee international conference on Recent Advances in science and engineering Technology, ICRASET 2024

作者： Prabakaran, Manjula Kusuma, S. Aman, S. Dinesh, P. Faliha, S. Andhra Pradesh Madanapalle India

ISBN: (纸本)9798350388602

The ubiquitous physical mouse, despite its years of service, presents challenges in accessibility, hygiene, and user experience. This paper explores the transformative potential of AI Virtual Mouse (AI VM) systems, powered by deep learning, to revolutionize human-computer interaction (HCI). We are involved in the intricate interplay between computer vision and deep learning architectures, dissecting various approaches to hand segmentation, gesture recognition, and model training. Through rigorous evaluation based on accuracy, speed, and robustness, we analyze the strengths and weaknesses of different configurations, paving the way for optimal performance. This example of the advancement of touchless HCI interfaces also opens doors to exciting future directions, including personalized control, integration with AR/VR technologies, and broader applications across diverse domains. For decades, the humble physical mouse has reigned supreme as our gateway to the digital world. Yet, despite its familiarity, it comes with limitations - accessibility hurdles, hygiene concerns, and a user experience that has not fundamentally evolved. This paper heralds a transformative era, where AI Virtual Mouse (AI VM) systems, powered by the magic of deep learning, are poised to revolutionize human-computer interaction (HCI). © 2024 ieee.

关键词： Gesture recognition

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An Integrated Approach to Energy Harvesting and Power Management Systems: A Comprehensive Analysis

An Integrated Approach to Energy Harvesting and Power Manage...

引用

2024 ieee international conference on automation and Computation, AUTOCOM 2024

作者： Singh, Kamred Udham Vikash Sharma, Bhavesh Kumar Singh, Teekam Varshney, Neeraj Agrawal, Dheeraj Graphic Era Hill University School of Computing Dehradun India Appventurez Mobitech Pvt Ltd Greater Noida201310 India Gl Bajaj College of Technology & Management Department of Master of Computer Applications India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India Gla University Department of Computer Engineering & Applications UP Mathura India Guru Ghasidas Vishwavidyalaya Department of Information Technology Bilaspur India

ISBN: (纸本)9798350382723

Implantable devices have significantly proved their reliability and effectiveness in the field of medicine as a result of their comprehensive assistance in a variety of areas that are related to the monitoring of patients and treatment in a variety of different ways. Furthermore, they contribute to the medical community's efforts to identify and prevent illnesses via the use of their services. The fact that the devices are powered by batteries, on the other hand, is a reliance that has a number of negative consequences. For instance, its depletion might result in hindrance during surgical procedures or leakage from the body. Implicit research has proposed the use of biocompatible harvesters that are capable of sustaining the device consumption by producing power. This methodology has been proposed as a means of reducing the size of the battery or, in some circumstances, completely eliminating its utilisation. In order to develop harvesting systems, a wide variety of biocompatible materials, including as piezoelectric and triboelectric materials, may be used. Ultrasonic transducers, electromagnet generators, and photovoltaic panels are just a few examples of the low-grade power sources that may be used to power implanted medical equipment via the utilisation of bioenvironmental energy harvesting. Ultrasonic transducers have been used in a variety of research projects as energy harvesters for the purpose of providing power to implanted medical devices. A piezoelectric oscillator was implanted under the goat's skin in order to collect the vibrational energy that was created by an ultrasonic transducer that was located outside of the power that was seen to be produced by the gearbox from the model that was provided. In their study, Tower et al. presented a system that has the potential to be utilised for the purpose of biological assessment and monitoring. The energy of an ultrasonic beam that is applied to the surface is converted into a high-frequency current by this

关键词： Energy harvesting

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From 5G to 6G: The Role of AI, Machine Learning, and Deep Learning in Wireless Systems 4

From 5G to 6G: The Role of AI, Machine Learning, and Deep Le...

引用

4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Gote, Pradnyawant M. Kumar, Praveen Verma, Prateek Yesankar, Prajyot Pawar, Adesh Saratkar, Saniya Faculty of Engineering and Technology Department of Computer Science & Design Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Computer Science & Medical Engineering Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Artificial Intelligence & Machine Learning Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Artificial Intelligence & Data Science Maharashtra Wardha442001 India

ISBN: (纸本)9798331523923

The swift progression of wireless communication technologies-specifically from 5G to 6G is an approach that could be the most significant revolutionary leap towards changing connectivity and data transmission forever. Additionally, algorithms of machine learning (ML) and deep learning (DL) in 5G and 6G can offer promising advancements toward predictive maintenance, dynamic spectrum management, and enhanced security. The review of the potentially transformative nature of these technologies underlines the need for future directions of research efforts called for in circumventing challenges towards making full capability exploitation of 6G possible. © 2025 ieee.

关键词： Adversarial machine learning

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Implementation of an Ethical Hacking Control Focused on Phishing to Optimize computer Security in Credinka 14

Implementation of an Ethical Hacking Control Focused on Phis...

引用

14th international conference on Cloud Computing, Data science and engineering, Confluence 2024

作者： Huaylla, Annie Condori, Richard Molina, Pedro Ticona, Wilfredo Universidad Tecnológica Del Perú Facultad de Ingeniería Lima Peru Universidad Esan Facultad de Ingeniería Lima Peru

ISBN: (纸本)9798350344837

One of the main problems that exists in financial agencies is phishing attacks that have unauthorized access to technological systems. For this reason, the study conducted aimed to optimize computer security at the Credinka Agency. As a result, he met with agency officials to gather information on network security vulnerabilities. In which techniques related to the Information System Security Assessment Framework (ISSAF) methodology were conducted, where Pen testing procedures will be applied, which will help to know the most effective methods to detect vulnerabilities in the Agency's computer systems. Finally, the implementation of an ethical hacking control will be carried out in order to strengthen the technological infrastructure, in this way make employees aware of the risks that can be caused by cyberattacks. It is observed that the percentage of vulnerability decreased by 82% and 74% of workers are more prepared against hacking attacks. © 2024 ieee.

关键词： Personal computing

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A Comprehensive Evaluation of Bluetooth Low Energy Mesh 30

A Comprehensive Evaluation of Bluetooth Low Energy Mesh

引用

30th ieee international conference on Parallel and Distributed Systems, ICPADS 2024

作者： Zhao, Yize Wang, Lin Liu, Zijuan Xu, Yifan Dang, Fan Wang, Xu Zhao, Haitian Miao, Xin Yanshan University School of Information Science and Engineering China Tsinghua University Department of Automation and BNRist China Tsinghua University School of Software and BNRist China Tsinghua University Global Innovation Exchange China

ISBN: (纸本)9798331515966

Bluetooth Low Energy (BLE) Mesh is a pivotal multi-hop self-organizing network in the Internet of Things (IoT) domain, offering low power consumption, low cost, and robustness. This paper presents a comprehensive study on the communication performance of BLE-Mesh using commercial off-the-shelf devices, focusing on the impact of key mesh parameters such as transmission power, packet interval, and network structure on performance. Through extensive indoor and outdoor experiments, we quantify the impact of these parameters and conduct a detailed study. Our findings provide insights into the actual communication range of BLE-Mesh, the effect of node design on overall network performance, and the configuration for optimal performance. The research contributes to the establishment of a BLE-Mesh network in real-world environments, answering critical questions for practitioners, and offering a reference for future BLE-Mesh deployments. This work furthers our understanding of the characteristics, challenges, and future directions of BLE-Mesh, setting the stage for advancements in IoT applications such as smart offices and homes. © 2024 ieee.

关键词： Mesh generation

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Research on Paper-Pen Interaction Methods and Implementation of Mobile Applications 4

Research on Paper-Pen Interaction Methods and Implementation...

引用

4th international conference on Consumer Electronics and computer engineering, ICCECE 2024

作者： Chen, YuXin Wu, Zhongcheng Institutes of Physical Science and Information Technology Anhui University Hefei China Hefei Institutes of Physical Science Chinese Academy of Sciences High Magnetic Field Laboratory Hefei China

ISBN: (纸本)9798350384062

This article examines paper-pen interaction methods and develops a real-time software for mobile devices that mimics handwriting. It includes features like paper texture rendering, stroke thickness control, and ink diffusion. The software adapts stroke width control based on pen pressure or velocity for realistic handwriting in different scenarios. Smooth writing effects are achieved through second-order Bezier curves. The paper's texture and roughness are simulated using the Perlin Noise algorithm. A simplified two-dimensional surface efficiency model of the article is created. This allows different types of paper to be displayed together with regulated ink dispersal according to the properties of the paper and ink. © 2024 ieee.

关键词： Interpolation

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Streamlined Deployment and Monitoring of Cloud-Native Applications on AWS with Kubernetes Prometheus Grafana

Streamlined Deployment and Monitoring of Cloud-Native Applic...

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2023 international conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2023

作者： Abirami, T. Mapari, Shrikant Jayadharshini, P. Krishnasamy, Lalitha Vigneshwaran, R. Ragavendra Kongu Engineering College Department of Information Technology Erode Tamilnadu Perundurai India Symbiosis International Pune India Kongu Engineering College Department of Artificial Intelligence Erode Tamilnadu Perundurai India Christ University School of Engineering and Technology Department of Computer Science and Engineering Bangalore Kengeri India

ISBN: (纸本)9798350344387

As organizations increasingly move their applications to the cloud, it becomes essential to have an efficient and cost-effective method for deploying and managing those applications. Manual deployment can be time-consuming, error-prone, and expensive. Additionally, managing logs and monitoring resources for each deployment can lead to even greater costs. To address these challenges, we propose implementing an automation strategy for deployment in the cloud. With automation, the deployment process can be streamlined and standardized across different cloud providers, reducing the potential for errors and saving time and resources. Furthermore, a central log system can be implemented to manage logs from different deployments in one location. This provides a unified view of all logs and allows for easier troubleshooting and analysis. automation can also be used to set up monitoring resources, such as alerts and dashboards, across different deployments. Overall, implementing an automation strategy for deployment in the cloud can help organizations save time and resources while improving their ability to manage and monitor their applications. A centralized log management system can further enhance these benefits by providing a unified view of logs from all deployments © 2023 ieee.

关键词： ArgoCD AWS EC2 EKS Grafana Helm Keda Kubernetes Prometheus

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