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Multi-Objective Deep Reinforcement Learning Optimisation in Autonomous systems 5

Multi-Objective Deep Reinforcement Learning Optimisation in ...

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5th ieee international conference on Autonomic computing and Self-Organizing systems Companion, ACSOS-C 2024

作者： Rosero, Juan C. Cardozo, Nicolas Dusparic, Ivana School of Computer Science and Statistics Trinity College Dublin Dublin Ireland DISC Universidad de los Andes Bogotá Colombia

ISBN: (纸本)9798350389760

Reinforcement Learning (RL) is used extensively in Autonomous systems (AS) as it enables learning at runtime without the need for a model of the environment or predefined actions. However, most applications of RL in AS, such as those based on Q-learning, can only optimize one objective, making it necessary in multi-objective systems to combine multiple objectives in a single objective function with predefined weights. A number of Multi-Objective Reinforcement Learning (MORL) techniques exist but they have mostly been applied in RL benchmarks rather than real-world AS systems. In this work, we use a MORL technique called Deep W-Learning (DWN) and apply it to the Emergent Web Servers exemplar, a self-adaptive server, to find the optimal configuration for runtime performance optimization. We compare DWN to two single-objective optimization implementations: ϵ-greedy algorithm and Deep Q-Networks. Our initial evaluation shows that DWN optimizes multiple objectives simultaneously with similar results than DQN and ϵ-greedy approaches, having a better performance for some metrics, and avoids issues associated with combining multiple objectives into a single utility function. © 2024 ieee.

关键词： Deep reinforcement learning

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A Secure IoT Framework for Remote Health Monitoring Using Fog computing 5

A Secure IoT Framework for Remote Health Monitoring Using Fo...

引用

5th international conference on Intelligent computing, Communication, Networking and Services, ICCNS 2024

作者： Harasees, Alaa Al-Ahmad, Bilal Alsobeh, Anas Abuhussein, Abdullah The University of Jordan Computer Information Systems Jordan Saint Cloud State University Computer Science and Information Technology Minnesota United States Southern Illinois University Carbondale Infortmation Technology CarbondaleIL United States

ISBN: (纸本)9798350354690

This paper presents a secure IoT framework for remote health monitoring using fog computing, tailored for the Jordanian healthcare context. The proposed Remote Health System (RHS) addresses critical challenges in healthcare IoT applications, including latency, security, and bandwidth consumption. By integrating IoT wireless sensor networks with fog and cloud computing, our framework overcomes limitations prevalent in cloud-only solutions. The architecture leverages fog computing layers to provide local storage, real-time data processing, and preliminary analysis, acting as decision-makers and security checkpoints before relaying data to the cloud for complex functions. We incorporate advanced threat detection mechanisms and secure protocols to protect sensitive health data throughout its lifecycle. The performance and security of the proposed framework were evaluated using FogNetSim++ and OMNeT++ 4.6 simulations. The paper uses fog security and ZigBee communication protocols which implemented in the proposed framework. Results demonstrate the system's ability to reduce latency, energy consumption, and end-to-end delay while maintaining high security levels. CPU usage, memory consumption, and end-to-end delay were analyzed for various node configurations. The framework shows promise in enhancing healthcare delivery in Jordan, particularly in remote and underserved areas, by leveraging the strengths of IoT, fog computing, and cloud infrastructure. This work contributes to the evolving landscape of e-health systems in Jordan, by proposing a scalable, efficient, and secure solution that addresses the unique challenges of the country's healthcare sector. © 2024 ieee.

关键词： Zigbee

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Performance Analysis of Decentralized Physical Infrastructure Networks and Centralized Clouds 6

Performance Analysis of Decentralized Physical Infrastructur...

引用

6th ieee international conference on Blockchain and Cryptocurrency, ICBC 2024

作者： Assen, Jan Von Der Killer, Christian Carli, Alessandro De Stiller, Burkhard University of Zurich Uzh Communication Systems Group Department of Informatics Dammstrasse 16 ZürichCH-8050 Switzerland Acurast Association Dammstrasse Zug16 6300 Switzerland

ISBN: (纸本)9798350316742

The advent of Decentralized Physical Infrastructure Networks (DePIN) represents a shift in the digital infrastructure of today's Internet. While Centralized Service Providers (CSP) monopolize cloud computing, DePINs aim to enhance data sovereignty and confidentiality and increase resilience against a single point of failure. Due to the novelty of the emerging field of DePIN, this work focuses on the potential of DePINs to disrupt traditional centralized architectures by taking advantage of the Internet of Things (IoT) devices and crypto-economic design in combination with blockchains. This combination yields Acurast, a more distributed, resilient, and user-centric physical infrastructure deployment. Through comparative analysis with centralized systems, particularly in serverless computing contexts, this work seeks to lay the first steps in scientifically evaluating DePINs and quantitatively comparing them in terms of efficiency and effectiveness in real-world applications. The findings suggest DePINs' potential to (i) reduce trust assumptions and physically decentralized infrastructure, (ii) increase efficiency and performance simultaneously while improving the computation's (iii) confidentiality and verifiability. © 2024 ieee.

关键词： Decentralized systems

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TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars 9

TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-L...

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9th ACM/ieee conference on Internet of Things Design and Implementation (IoTDI)

作者： Ronco, Andrea Schilk, Philipp Magno, Michele Swiss Fed Inst Technol Ctr Project Based Learning D ITET Zurich Switzerland

ISBN: (纸本)9798350370256;9798350370263

Smart Internet of Things (IoT) devices are on the rise in popularity, with innovative use cases and applications emerging every year. Including intelligence in these novel systems presents the challenge of integrating interaction and communication in scenarios where traditional interfaces are not viable. Hand Gesture Recognition (HGR) has been proposed as an intuitive Human-Machine Interface, potentially suitable for controlling several classes of devices in the context of the Internet of Things. This paper proposes a low-power in-ear HGR system based on mm-wave radars, efficient spatial and temporal Convolutional Neural Networks and an energy-optimized hardware design. The design is suitable for battery-operated devices, with stringent size and energy constraints, enabling user interaction with wearable devices, but also suitable for home appliances and industrial applications. The proposed machine learning model is characterized thoroughly for robustness and generalization capabilities, achieving 94.9% (single subject) and 86.1% (Leave-One-Out Cross-validation) accuracy on a set of 11+1 gestures with a model size of only 36 MB and inference latency of 32.4 ms on a 64 MHz Cortex-M33 microcontroller, making it compatible with real-time applications. The system is demonstrated in a fully integrated, miniaturized in-ear device with a full-system average power consumption of 18.4 mW, a more than 6x improvement on the current stale of the art.

关键词： mm-wave radar gesture recognition low-power embedded sensor

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embedded System based Independent Scientist Satellite Payload 2

Embedded System based Independent Scientist Satellite Payloa...

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2nd international conference on Electronics and Renewable systems, ICEARS 2023

作者： Dhanapal, M. Gokulraja, C. Pradeepraj, P. Vasanth, V. Dept Electrical and Electronics Engineering Tiruchengode India

ISBN: (纸本)9798350346640

To measure atmospheric conditions by utilizing a weather balloon. Previously launched satellites have been used for weather monitoring, but the nature of independent scientist satellite is to measure the various parameters. The balloon is equipped with a specially designed embedded system that comprises various sensors that capture the pressure, temperature and relative humidity at different altitudes. The data collected by the sensors is transmitted in real-time to a ground antenna through a predetermined radio frequency wave, allowing for remote monitoring and control of the system. The received data is then processed and displayed in a graphical format, providing a visual representation of the atmospheric conditions. This work contributes to the field of atmospheric science by offering a new, cost-effective, and efficient method for measuring atmospheric conditions. © 2023 ieee.

关键词： embedded systems

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Revolutionizing Summarization: Unleashing the Power of Transformer-Based Innovations for Efficiency and Impactful applications

Revolutionizing Summarization: Unleashing the Power of Trans...

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2024 international conference on Advances in Data Engineering and Intelligent computing systems, ADICS 2024

作者： Anil, Adithya Verma, Pratham Amrutha, O.K. Kumar, Prahil S. Chennai Institute Of Technology Dept Of Artificial Intelligence And Data Science Chennai India Sri Venkateswara College Of Technology Dept Of Artificial Intelligence And Data Science Chennai India Saint Gobain Dept Of Digital Manufacturing Chennai India

ISBN: (纸本)9798350364828

In the era of information abundance, efficient summarization tools are crucial. This paper explores document summarization, focusing on the 'lamini flan T5' model by Google, showcasing its advancements in natural language processing. As data exponentially grows, the demand for effective summarization tools intensifies. While the T5 model offers promising capabilities, the challenge lies in implementing it for optimal performance and user accessibility. This study integrates the T5 model with Streamlit, a revolutionary framework for developing and deploying applications. The combination harnesses T5's power in document summarization while leveraging Streamlit's user-friendly interface. Additional sophistication is introduced through tools like Langston, ensuring seamless processing of large documents. The developed application not only effectively captures document essence but also provides an intuitive interface, making it accessible across diverse user backgrounds. The integration of Langston contributes to the seamless processing of large documents, marking a significant stride in addressing real-world challenges. © 2024 ieee.

关键词： Natural language processing systems

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Inducing Defenders to Mislead an Attacking UAV Swarm 42

Inducing Defenders to Mislead an Attacking UAV Swarm

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42nd ieee international conference on Distributed computing systems (ICDCS)

作者： Simonjan, Jennifer Probst, Stefano Ricardo Schranz, Melanie Lakeside Labs Klagenfurt Austria Univ Klagenfurt Inst Networked & Embedded Syst Klagenfurt Austria

ISBN: (数字)9781665488792

ISBN: (纸本)9781665488792

In recent years, the development of self-organizing and autonomous behaviors for unmanned aerial vehicle (UAV) swarms has increased significantly. Being flexible, scalable and robust, UAV swarms bring many advantages for future applications. However, these properties might also be used for malicious or dangerous applications like autonomous target-oriented attacks. To date, defense includes strategies like fighting the attackers with a defender swarm or exploiting hardware devices like nets and jammers to stop the attackers. These solutions increase the risk on collateral damage even further. To the best of our knowledge, research is lacking intelligent countermeasures against attacking UAV swarms which limit the damage as much as possible. In this paper, we explore how to invert a robust UAV swarm behavior by inducing defender UAVs into an attacking UAV swarm with the goal to mislead the swarm's mission. Via simulations, we model two different swarm behaviors and explore how to invert them with disguised UAVs deflecting the entire swarm.

关键词： UAV swarms swarm intelligence swarm attack swarm defense UAV defense

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Exploration of Markers in Augmented reality: Methodologies and applications 2

Exploration of Markers in Augmented Reality: Methodologies a...

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2nd international conference on Intelligent Cyber Physical systems and Internet of Things (ICoICI)

作者： Vashisht, Sanchit Chitkara Univ Inst Engn & Technol Dept Comp Sci & Engn Rajpura Punjab India

ISBN: (纸本)9798331540661;9798331540678

Augmented reality (AR) is a cutting-edge technology that combines digital content with the real environment, resulting in improved user experiences across several fields. Marker identification algorithms are crucial in augmented reality (AR) applications since they enable precise placement of virtual objects onto the actual world. This study investigates a wide range of techniques for identifying markers, including both conventional image processing algorithms and cutting-edge machine learning models. This study employs comparative analysis to precisely define the strengths and limitations of each technique, providing significant insights into their suitability in various scenarios. The research analyses three main methodologies: template matching, feature detection, and deep learning-based techniques. It offers insights into their individual performance measures, including accuracy, speed, robustness, and scalability. Empirical evidence and research substantiate the efficacy of these methods in several fields, such as gaming, education, healthcare, and manufacturing. The research showcases significant progress while simultaneously highlighting unique constraints, such as the limited availability of various datasets, processing limitations, and the difficulties presented by dynamic augmented reality (AR) environments. In future research, the focus will be on improving current strategies to overcome these limits and investigating hybrid approaches that combine the characteristics of multiple methodologies. The combination of interdisciplinary collaboration and technological breakthroughs such as edge computing and 5G networks has the potential to improve the efficiency and feasibility of marker identification systems in augmented reality (AR). This research finally enhances the comprehension and utilization of marker identification in augmented reality (AR), hence facilitating inventive encounters and imaginative applications in diverse domains.

关键词： Immersive technologies Augmented reality Virtual reality Mixed reality Markers Education

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Design and Development of a Smart and Multipurpose IoT embedded System Device Using ESP32 Microcontroller

Design and Development of a Smart and Multipurpose IoT Embed...

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2023 ieee international conference on Electrical, Electronics, Communication and Computers, ELEXCOM 2023

作者： Dey, Shuvabrata Bera, Tulip Maulana Abul Kalam Azad University of Technology Vlsi Design and Embedded Systems West Bengal India Maulana Abul Kalam Azad University of Technology Microelectronics and Vlsi Technology West Bengal India

ISBN: (纸本)9798350305111

This paper presents an innovative design and development of a smart device with IoT capabilities based on the ESP32 microcontroller. This is a compact embedded kit that measures atmospheric pressure, temperature, and humidity, and transmits the data to the IoT website. It features a heart rate sensor that sends data to a custom-designed Android app via Bluetooth and a compass that can sense the direction, displaying the current date and time. The compact embedded kit smart device has several potential applications, such as checking share market graphs and live sports scores through the internet. It can also be reprogrammed as a health monitoring system, drone controller, car controller, or different system controller like home automation, depending on the user's needs. Furthermore, students can connect various sensors to the device to learn embedded systems, as several embedded programs are available. © 2023 ieee.

关键词： Microcontrollers

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Low-Cost rPPG Application for real-time Heart Rate Monitoring: Robustness Analysis of Signal Processing Techniques 4th

Low-Cost rPPG Application for Real-Time Heart Rate Monitorin...

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4th international conference on Digital Technologies and applications (ICDTA)

作者： Ayat, Yassine EL Moussati, Ali Mir, Ismail EL Aouni, Abdelaziz Mohammed First Univ UMP Natl Sch Appl Sci Oujda ENSAO Energy Embedded Syst & Data Proc Lab Oujda 60000 Morocco

ISBN: (纸本)9783031686597;9783031686603

A new application has been developed for remote PhotoPlethysmoGraphy (rPPG) tests in real-time using a low-cost laptop or smartphone cameras. This offers a non-contact and convenient solution for heart rate (HR) monitoring, which doctors can use to view all recorded rPPG signals. The application uses a new heart rate estimation method developed from facial videos. It employs skin pixel semantic segmentation and signal processing techniques, including a deep learning model to detect skin pixels from non-skin pixels. The spatial RGB means of the segmented skin pixels are used to extract the rPPG signal, which is then post-processed to remove outliers and calculate the heart rate. The proposed rPPG-based heart rate estimation method has achieved a mean absolute error of +/- 2.5 bpm, comparable to HR sensors. This low-cost and convenient solution for heart rate monitoring holds promise in medical and biometric applications, providing a new approach to health monitoring.

关键词： rPPG Heart Rate Monitoring Facial Video Analysis Signal Processing Deep Learning

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