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Augmented Reality Enabled Internet of Things for Smart Visualisation in Applications 7

Augmented Reality Enabled Internet of Things for Smart Visua...

引用

2023 7th international conference On computing, communication, control And automation, ICCUBEA 2023

作者： Kedari, Ayush Singh, Anshika Kharche, Gayatri Mapari, Rahul Pimpri Chinchwad College of Engineering and Research Electronics and Telecommunication Pune India

ISBN: (纸本)9798350304268

Augmented reality(AR) is a vast field which enlarges the capabilities of various technological areas. Even though AR has proven to be advantageous in various areas, mainly by eliminating cognitive overload and providing a visual experience, it has a major drawback of requiring internet connectivity in most applications. Internet of Things(IoT) is associated with AR to upgrade existing IoT technology to another level. Considering home automation(which incorporates IoT), when coerced with AR provides remote access to the network, contactless switching(simply, by hovering over virtual buttons) and includes additional features like temperature, humidity detection, etc. AR is an emerging technology which is rapidly developing. When AR is used with novel cloud platforms like Sinric Pro, Blynk, ThinkSpeak, etc., exploration of a lot of new features takes place. This paper describes the concept of AR integrated with home automation which uses IoT and Sinric Pro. Along with this, it gives the idea of using augmented reality in real life. Visual representation of cards, books, distance between two objects, heart rate, moisture content in soil and real-time weather is given by augmented reality. Using these technologies in the existing system enhances human capabilities, creates unique customer experiences and provides real time analysis. It discusses an approach to inculcate AR in IoT to increase the applications. The analysis of AR framework incorporating IoT has been done in order to use it for real life applications. © 2023 IEEE.

关键词： Augmented Reality Augmented Reality and Internet od Things Home automation Internet of Things Sinric Pro Temperature detection

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Securing Sensitive Data: How Blockchain Transforms Privacy in Healthcare, Law, and Education

Securing Sensitive Data: How Blockchain Transforms Privacy i...

引用

2024 international conference on Innovative computing, Intelligent communication and Smart Electrical Systems, ICSES 2024

作者： Bale, Ajay Sudhir Arulananth, T.S. Saranya, S. Gadag, Tejashwini Sathiamoorthy, J. Ponnuru, Sudhakiran New Horizon College of Engineering Dept. of Ece Karnataka Bengaluru India Mlr Institute of Technology Department of Electronics and communication Engineering Telangana Hyderabad500043 India Bms Institute of Technology & Management Dept. of Mathematics Bengaluru India School of Computer Science Engineering Reva University Bengaluru India Rmk Engineering college Department of Computer science and Design Kavarapettai India

ISBN: (纸本)9798331543617

In the field of healthcare, law, and education, Blockchain technology (BT) is emerging as a transformative force. This paper helps to explore the usage of BT to enhance the privacy and security in the above said domains. In healthcare industry, blockchain offers privacy and secure management of the vital electronic health records (EHR) and patient health records (PHR), boosting the data integrity and access control. In the law sector, blockchain-enabled smart contracts are providing new possibilities for the transactions automation, transparency, and security of the transactions, thoroughly facing the challenges in terms of jurisdiction and compliance with regulations like GDPR. In the field of education, blockchain technology is improvising the record-keeping, degree verification, and collaborative learning environments. The paper helps to examine the features like the effectiveness, efficiency, and security aspects of blockchain implementations in these sectors, focusing on both the potential benefits and the challenges imposed that need to be addressed for the widespread adoption in real time. © 2024 IEEE.

关键词： Electronic health record

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Analysis the Three Layers of computing: Cloud, Fog & Edge 1

Analysis the Three Layers of Computing: Cloud, Fog & Edge

引用

1st international conference on Computational Intelligence, communication Technology and Networking, CICTN 2023

作者： Mathur, Sandeep Verma, Anubhav Srivastav, Garima Noida International University UP Greater Noida India Gl Bajaj Institute of Management India Iitm UP Greater Noida India

ISBN: (纸本)9798350338027

Cloud computing is a 21st-century buzzword. Most organizations adopt this automation in today's world. However! there are different types of data processing, such as Time-sharing computing environment, client-server computing environment, distributed computing environment, cloud computing environment, cluster computing environment. computing processing consists of operating systems, information storage platforms and connectivity that can support the computing processing. Two more sides are added to cloud computing, namely fog and edge computing. This paper will analyze the Cloud, Fog, Edge computing frameworks and their implementation challenges and opportunities. © 2023 IEEE.

关键词： Edge computing

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QUIC(K) communication for GPU Virtualization in Edge computing 20

QUIC(K) communication for GPU Virtualization in Edge Computi...

引用

2024 international conference on Wireless and Mobile computing Networking and communications

作者： Luebben, Ralf Gaikwad, Nikhil B. Stefanovic, Cedomir Kosta, Sokol Flensburg Univ Appl Sci Flensburg Germany Aalborg Univ Aalborg Denmark

ISBN: (纸本)9798350387452;9798350387445

The integration of graphics processing units through virtualization offers significant potential to optimize resource utilization in distributed systems. Particularly in edge computing scenarios, the architecture of edge devices can be simplified by consolidating GPU usage at the edge gateway, which offers the improvement of the GPU utilization by sharing the GPU by multiple edge client devices. However, the effectiveness of this approach is heavily contingent upon network communication, which in edge environments often lacks the high-speed and low latency links as well as specialized protocols available in traditional data center settings for high performance computing, especially if wireless networks are deployed. Therefore, our study aims to comprehensively analyze and evaluate the performance implications of using the conventional transmission control protocol (TCP) versus the emerging QUIC protocol in such environments. We specifically focus on assessing QUIC's unique features, including concurrent streams, stream cancellation, and stream prioritization, which are not inherently present in TCP. Furthermore, we investigate the potential performance gains achievable through the adoption of asynchronous API calls, aiming to provide insights into optimizing GPU utilization in edge computing. We show the advantages of most of QUIC's features and asynchronous API calls by an experimental evaluation.

关键词： Edge computing GPU virtualization Machine learning QUIC TCP Remote virtualization

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EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization

EffLoc: Lightweight Vision Transformer for Efficient 6-DOF C...

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IEEE international conference on Robotics and automation (ICRA)

作者： Xiao, Zhendong Chen, Changhao Yang, Shan Wei, Wu South China Univ Technol Sch Automat Sci & Engn Control Sci & Engn Guangzhou Guangdong Peoples R China Natl Univ Def Technol Colloge Intelligence Sci & Technol Changsha Peoples R China

ISBN: (纸本)9798350384581;9798350384574

Camera relocalization is pivotal in computer vision, with applications in AR, drones, robotics, and autonomous driving. It estimates 3D camera position and orientation (6-DoF) from images. Unlike traditional methods like SLAM, recent strides use deep learning for direct end-to-end pose estimation. We propose EffLoc, a novel efficient Vision Transformer for single-image camera relocalization. EffLoc's hierarchical layout, memory-bound self-attention, and feed-forward layers boost memory efficiency and inter-channel communication. Our introduced sequential group attention (SGA) module enhances computational efficiency by diversifying input features, reducing redundancy, and expanding model capacity. EffLoc excels in efficiency and accuracy, outperforming prior methods, such as AtLoc and MapNet. It thrives on large-scale outdoor car-driving scenario, ensuring simplicity, end-to-end trainability, and eliminating handcrafted loss functions.

关键词： Machine vision

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Research on the Optimal communication Mode Selection Based on Pareto Optimization 5

Research on the Optimal Communication Mode Selection Based o...

引用

5th international conference on Computer Engineering and Intelligent control, ICCEIC 2024

作者： Zhong, Shaoheng Yu, Yong Chen, Jinrong Guangdong Foshan Power Supply Bureau China Southern Power Grid Foshan Foshan China

ISBN: (纸本)9798331507992

This paper addresses the inefficiencies in human-composed communication mode forms and the unreasonable allocation of communication resources in the Foshan Power Grid. It requires software automation to generate forms, incorporating automatic mode type recognition, cross-system resource queries, routing analysis, and resource allocation modules to effectively improve the automation of communication business access. Routing analysis is the most crucial part of the form generation. This paper proposes an optimal communication routing selection algorithm based on Pareto optimization. By deeply exploring the principles of Pareto optimization, especially in routing analysis, multi-objective optimization is used to balance several key indicators (efficiency, safety, redundancy) in communication mode selection. Experiments show that the Pareto optimization-based automatic form generator provides routing results close to those manually selected, solving key challenges in the further design of automated communication mode robots. © 2024 IEEE.

关键词： Machine design

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Conceptual Design to Achieve Stable communication Performance in OWC Systems with Dimming control 12

Conceptual Design to Achieve Stable Communication Performanc...

引用

12th international conference on Intelligent computing and Wireless Optical communications (ICWOC)

作者： You, Xiaodi Liu, Shixin Chen, Jian Yu, Changyuan Gao, Mingyi Shen, Gangxiang Soochow Univ Sch Elect & Informat Engn Suzhou Peoples R China Nanjing Univ Posts & Telecommun Sch Telecommun & Informat Engn Nanjing Peoples R China Hong Kong Polytech Univ Photon Res Inst Dept Elect & Elect Engn Hong Kong Peoples R China

ISBN: (纸本)9798350374377

The dimming control function is crucial for indoor optical wireless communication (OWC) systems. This paper provides a review of our recently proposed conceptual designs aimed at alleviating the need for reduced data rates or increased optical transmit power, while ensuring stable link performance during dimming control. These designs include a method combining orthogonal frequency division multiplexing (OFDM) and multi-pulse position modulation (MPPM), the adoption of a low-power infrared (IR) link to complement the visible light (VL) link, and a hybrid VL/IR communication scheme based on pulse width modulation (PWM) for real-time implementation. Additionally, the coverage performance of the hybrid VL/IR communication scheme is evaluated through numerical simulations.

关键词： optical wireless communication dimming control visible light communication infrared communication

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Intelligent Load control with Embedded automation and Mobile Application 2

Intelligent Load Control with Embedded Automation and Mobile...

引用

2nd international conference on Distributed computing and Optimization Techniques, ICDCOT 2024

作者： Dusarlapudi, Kalyan Suresh, Appana Naga Naveen, Basa Likhitha, Komarina Lakshmi Koneru Lakshmaiah Education Foundation Eee Department Guntur India Koneru Lakshmaiah Education Foundation Cse Department Guntur India

ISBN: (纸本)9798350382952

The escalating rate of energy consumption and its adverse environmental effects, coupled with the reliance on non-renewable sources like fossil fuels, has heightened the importance of energy management. The framework for 'Intelligent Load control with Embedded automation and Mobile Application' is presented, emphasizing the optimization of energy consumption. Utilizing Long short-term memory (LSTM) model from deep learning, to implement energy generation forecasting. These precise forecasts interface with an advanced load scheduling algorithm implemented by using Autoregressive Integrated Moving Average (ARIMA) Model, prioritizing loads based on priority matrix technique and efficiently scheduling loads based on predefined criteria and temporal proximity. Further, a controller enables dynamic load shifting between renewable sources and the grid further this will control the loads as per scheduled timetable, enhancing overall energy utilization. The integration of these methodologies, along with a mobile application for real-time monitoring, establishes an intelligent system poised to significantly improve energy efficiency and promote sustainable practices in the context of embedded automation and mobile applications. © 2024 IEEE.

关键词： Energy utilization

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Dynamic Event-Triggered Leader-Following Consensus of Multiagent Systems under DoS Attacks 43

Dynamic Event-Triggered Leader-Following Consensus of Multia...

引用

43rd Chinese control conference, CCC 2024

作者： Ma, Ji Chen, Xiangyong Wu, Yue Sun, Ji Liu, Jianhua Linyi University The Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong School of Automation and Electrical Engineering Linyi276005 China

ISBN: (纸本)9789887581581

In this paper, the leader-following consensus of multi-agent systems (MASs) under denial-of-service (DoS) attacks over undirected networks is studies. First, introduce an estimator under DoS attacks to design a dynamic event-triggered communication protocol, which avoids continuous communication between agents. Then, with the presence of the estimator between the triggering instants can reduce the state shift. In contrast to the conventional method, the existence of dynamic threshold need fewer triggering times. Under this control strategy, the systems only need the states in triggering instants according to estimated states. Finally, verify the effectiveness of the proposed approach by a simulation example. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Denial-of-service attack

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Enhancing Financial Decision-Making with Edge computing and Ai in Accounting Environments 2

Enhancing Financial Decision-Making with Edge Computing and ...

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2nd IEEE international conference on IoT, communication and automation Technology, ICICAT 2024

作者： Qureshi, Naila Iqbal Princess Noura Bint Abdul Rahman University Management Department College of Business Administration Riyadh Saudi Arabia

ISBN: (纸本)9798350368109

Due to the current day's financial landscape, which is data-driven and changing rapidly, the latest use of technology has become an order of the day to further increase efficiency in the decision-making process within accounting environments. This paper explores edge computing combined with artificial intelligence (AI) in redefining the financial decision-making process. On one side, edge computing is decentralized data processing much closer to its source;therefore, it reduces latency and increases efficiency. On the other side, artificial intelligence is an overarching term that refers to a collection of a number of different techniques that allow machines to imitate human cognitive functions. This coupled with AI presents vast opportunities for the revolution in accounting environments through real-time insights, accuracy, and efficient resource utilization. In this regard, it is thereby established how these two technologies complement one another in an attempt to make these capabilities strong relative to financial decisions in the different areas. Another benefit of the integration of edge computing with AI in the accounting environment is its ability to process huge loads of financial data with very little to zero latency. Edge computing reduces the latencies between the data generation, processing of the data, and decision-making process by moving the computation closer to where data is created, enabling almost real-time analysis and decision-making. This is complemented by AI algorithms that autonomously analyze patterns in the data, detect anomalies, and generate actionable insights toward empowering the professionals of finance to take informed decisions promptly. © 2024 IEEE.

关键词： Decentralized finance

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