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Adaptive Dynamic Programming-Based Optimal Consensus Design: A Brief Survey 9

Adaptive Dynamic Programming-Based Optimal Consensus Design:...

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9th International conference on control Science and Systems Engineering, ICCSSE 2023

作者： Chen, Zitao Liu, Minyi Li, Zeheng Chen, Kairui Zhang, Yun Guangdong University of Technology Guangzhou China Guangzhou University Guangzhou China

ISBN: (纸本)9798350339055

This article reviews the recent development of op-Timal control-based consensus design with incomplete system knowledge. Adaptive dynamic programming, which is one of the most efficient algorithm, is widely used in solving the optimal consensus problem. Specifically, it will first review the optimal consensus problem. Then, the technical derivations for the solution of optimal consensus problem by adaptive dynamic programming will be outlined. Important theoretical problems will be briefly discussed. It will show that adaptive dynamic programming is promising for practical applications in optimal consensus design with incomplete system knowledge. © 2023 ieee.

关键词： Dynamic programming

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Smart Traffic control and Prediction Model Empowered with 5G technology, Artificial Intelligence and Machine Learning 1

Smart Traffic Control and Prediction Model Empowered with 5G...

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1st ieee International conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Datey, Vaishnav Prabhu, Sandeep Pune India

ISBN: (纸本)9798350316469

This research paper addresses the escalating challenges of urban traffic congestion and diminished driving safety resulting from the burgeoning automobile population. The study formulates an innovative framework for an Enhanced Traffic Management Model (ETMM) leveraging the convergence of Artificial Intelligence (AI), Machine Learning (ML), and 5G technology. Through in-depth interviews with a diverse panel of experts and comprehensive data analysis, the framework integrates real-time and historical data streams for accurate traffic prediction, congestion estimation, and dynamic signal optimization. The findings reveal that the proposed ETMM substantially improves traffic flow, minimizes travel time, and enhances urban mobility. Additionally, the research demonstrates the viability of AI-driven approaches for traffic management, underscored by successful model deployment and validation. The future scope lies in refining the framework with continuous data updates, incorporating user-centric insights, and expanding its applications to create safer, more efficient urban transportation systems. © 2023 ieee.

关键词： 5G AI/ML Cloud Computing Traffic Management Traffic Prediction Urban Mobility

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IoT-Enabled Advanced Health Monitoring System using ESP32 and UBI DOTS 5

IoT-Enabled Advanced Health Monitoring System using ESP32 an...

引用

5th International conference on IoT Based control Networks and Intelligent Systems, ICICNIS 2024

作者： Balamanikandan, A. Neeraja, Siddavatam Lakshmi Kishore, Thathireddy Venkata Deepika, Udatha Prathyusha, Settipalli Venkatachalam, K. Tirupati India Electronics and Communication Engineering Audisankara College of Engineering & Technology Gudur India

ISBN: (纸本)9798331518097

This research presents a real-time vital sign monitoring system utilizing IoT and wearable technology aiming to provide continuous health monitoring. The system is developed using an ESP32 microcontroller unit (MCU) integrated with various biomedical and environmental sensors including an ECG sensor, temperature sensor, humidity sensor, gyroscope sensor, SPO2 sensor, and heartbeat sensor. A 16x2 LCD provides local feedback, while a buzzer alerts users to abnormal conditions. To facilitate remote monitoring, NODEMCU (ESP8266) serves as a communication gateway, connecting the system to the IoT platform UBIDOTS. Through UBIDOTS, the system transmits vital data to cloud storage in real-time, enabling healthcare professionals and caretakers to monitor patients remotely. This solution is designed to support the early detection of critical health issues, improve patient outcomes, and enhance accessibility to health monitoring through scalable IoT solutions. Experimental results indicate that the proposed system effectively monitors vital signs, sending alerts and updating data in real-time demonstrating its potential in wearable health monitoring applications. © 2024 ieee.

关键词： Remote patient monitoring

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EEG-Based Emotion Recognition Using Principal Component Analysis and Support Vector Machine

EEG-Based Emotion Recognition Using Principal Component Anal...

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2024 International conference on control and Automation, Electronics, Robotics, Internet of Things, and Artificial Intelligence, CERIA 2024

作者： Tran, Minh Anh Nguyen, Le Hoa The University of Danang University of Science and Technology Danang Viet Nam

ISBN: (纸本)9798331511166

Recognition of human's emotional states is one of crucial issues in many Brain-Computer-Interface (BCI) applications. In the current study, the problem of emotion recognition based on EEG data will be addressed. The public SEED-V EEG dataset acquired during affect elicitation by audio-visual stimuli was first presented. Then, the preprocessing techniques including noise filtering, down sampling, trail separation were employed on the raw data. To reduce the size of data as well as remove less valuable data, the Principal Component Analysis (PCA) was proposed. Next, the Power Spectral Density (PSD) method was used to extract emotional features. Finally, we utilized the Support Vector Machine (SVM) for emotion classification. The obtained results show that a high classification accuracy (up to 95.6%) can be achieved. In addition, the obtained results also demonstrate that the proposed PCA technique greatly contributes to improving classification accuracy. © 2024 ieee.

关键词： electroencephalogram emotional state power spectral density principal component analysis support vector machine

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Automated Machine Learning Evaluation of Squat Movement Patterns Using Smartphone and CoreML 12

Automated Machine Learning Evaluation of Squat Movement Patt...

引用

12th ieee International conference on Intelligent Data Acquisition and Advanced Computing Systems: technology and applications, IDAACS 2023

作者： Sokolowska, Marta Podpora, Michal Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Opole45-758 Poland

ISBN: (纸本)9798350358056

There is a vast diversity of Machine Learning use cases, and both the hardware and the methodology itself are constantly getting better. This article presents a very specific use case - the recognising, classifying, and evaluation of human physical activity by using just a video stream from a smartphone and potentially instructing people how to exercise to get better results. The paper presents two key aspects of the challenge: (1) defining the problem in the physical activity domain and choosing a proper ML approach and tool, and (2) conducting the experiment using consumer-grade hardware (a smartphone) to evaluate if the proposed methodology is applicable using an easy-to-use tool and widely accessible hardware for users with limited (or without) Machine Learning experience. Chapter II presents the process of gathering and preparing the dataset, while the next chapter presents the creation of a Machine Learning model, model training using the acquired dataset, and the model performance. It was possible to obtain the result of 92.4% validation accuracy for the squat movement pattern classification model. The trained model can be used in an ML smartphone application for evaluation of user-provided examples of squats. © 2023 ieee.

关键词： action classiication Artiicial Intelligence Machine Learning movement patterns pattern recognition video analysis

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High-Performance Computing for Efficient Transaction Processing: A Comparative Study of Parallel and Sequential Execution using SQLite 5

High-Performance Computing for Efficient Transaction Process...

引用

5th International conference on IoT Based control Networks and Intelligent Systems, ICICNIS 2024

作者： Balaji, C.V.Roshan Shaman, K.R. Pritham Raj, V. Kumar, N.Nithish Kumaran, K. School of Computer Science and Engineering Vellore Institute of Technology Chennai campus India

ISBN: (纸本)9798331518097

High-performance computing (HPC) has become an essential tool for improving the efficiency and scalability of transaction processing systems, especially as data volumes continue to grow in fields like finance, e-commerce, and blockchain. This paper presents a comparative study of parallel and sequential transaction processing methods using an SQLite database. Specifically, the research investigates the impact of HPC techniques on transaction throughput, processing speed, and efficiency by simulating 1,000 user transactions. The study employs Python's multiprocessing module to simulate parallel execution, contrasting it with traditional sequential execution. Key performance indicators, including execution time, transaction success rate, and system efficiency, were analyzed to determine the advantages of parallel processing in a transaction-heavy environment. Our results reveal that parallel execution significantly reduces processing time, boosts throughput, and increases overall system efficiency compared to sequential processing. Additionally, the study discusses how parallel processing techniques can address common bottlenecks in transaction-heavy applications and provide solutions for improving the performance of large-scale, data-intensive systems. The findings demonstrate the potential for using HPC to optimize database operations, particularly in systems where high-volume transaction processing is a critical requirement. Future work will explore advanced parallelization strategies, fault tolerance mechanisms, and integrations with distributed databases and blockchain systems. This research contributes to the growing body of knowledge on optimizing transaction processing in high-performance computing environments, with potential applications across various sectors, including financial services, e-commerce, and blockchain technology. © 2024 ieee.

关键词： Blockchain

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Energy Harvesting in Highways using Vertical Axis Wind Turbine 10

Energy Harvesting in Highways using Vertical Axis Wind Turbi...

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10th International conference on Advanced Computing and Communication Systems, ICACCS 2024

作者： Elakya, A. Abiman Kumar, S. Ajaykumar, P. Dinesh Aravind, M. Lakshana, S. Manimegalai, V. Sri Krishna College of Technology Department of Electrical and Electronics Engineering Coimbatore India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384369

This abstract presents an innovative approach to promote sustainable energy production through the strategic installation of Vertical Axis Wind Turbines (VAWTs) along highways. The proposed system leverages the wind energy generated by passing vehicles and incorporates advanced monitoring and control mechanisms using Internet of Things (IoT) technology. Key components include VAWTs for power generation, battery storage, loT-driven monitoring, and algorithms for data analysis. Real-time data, encompassing wind speed, electricity generation, and battery status, is gathered by IoT devices, transmitted to a central platform, and scrutinized with sophisticated algorithms to enhance overall system efficiency. The stored electricity contributes to a cleaner and more sustainable energy ecosystem, powering various applications. This groundbreaking system not only effectively harnesses renewable energy but also signifies a significant step toward establishing intelligent, environmentally conscious, and energy-sustainable highway infrastructure. © 2024 ieee.

关键词： Windmill

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Nature-inspired whale optimization technique for efficient information exchange in vehicular networks 12

Nature-inspired whale optimization technique for efficient i...

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12th ieee International conference on Communication Systems and Network Technologies, CSNT 2023

作者： Tandon, Righa Verma, Ajay Gupta, P.K. Chitkara University Institute of Engineering and Technology Chitkara University Department of Computer Science and Engineering Punjab India Jaypee University of Information Technology Department of Computer Science and Engineering Solan India

ISBN: (纸本)9781665462617

Vehicle Ad-Hoc Networks (VANETs) offer roadside connectivity to facilitate user information exchange while driving. It connects other vehicles and hierarchical infrastructure components for applications including real-time traffic and vehicle control. Concord information sharing is needed for application answers because of the increase in vehicle and information density. In this paper, a secure information exchange model has been proposed using nature-inspired whale optimisation algorithm as a way to provide faster data transmission speeds and security. The proposed model makes use of a social behavior model of humpback whales to explore and exploit the search space for finding the optimal solution. Successful information selection and traffic information retrieval depend on the prior and present judgements. This keeps extra data from clogging up the traffic and vehicle management application while the driver is using it. © 2023 ieee.

关键词： Vehicular ad hoc networks

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Multi-Attention Fusion Lightweight Single Object Tracking Algorithm 7

Multi-Attention Fusion Lightweight Single Object Tracking Al...

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7th International conference on Robotics, control and Automation Engineering, RCAE 2024

作者： Bao, Juntao Zhao, Jixing Liu, Bingyou Zhang, Dongxiang Anhui Polytechnic University Dept. School of Electrical Engineering Wuhu China Huaneng Chaohu Power Generation Co. Ltd. Dept. R&d Department ChaoHu China Anhui Tianbing Electronic Technology Co. Ltd. Dept. R&d Department Wuhu China

ISBN: (纸本)9798350355642

With the continuous development of mobile application platforms, balancing real-time performance and accuracy has become a major challenge for object tracking technology, especially on resource-limited mobile devices. To address these challenges, a novel tracking algorithm called NanoMViT (Nano Mobile Vision Transformer for Object Tracking) and the ECSA (Efficient Channel and Spatial Attention) multi-attention module were proposed. By optimizing the backbone network architecture, the parameters of each module were significantly reduced. The final algorithm has a parameter count of only 709.134k and MACs of only 264.127M. Compared to the baseline algorithm, the parameter count is reduced by 66.3%, and the computational load is reduced by 50.2%. To validate the algorithm's performance, comprehensive evaluations were conducted on multiple standard tracking datasets, including VOT2018, DTB70, and LaSOT. The results show that the algorithm outperforms the baseline in aspects such as rapid deformation, tracking of similar objects, and performance under complex lighting conditions. These findings demonstrate that the algorithm has high practicality and efficiency in mobile tracking applications, but further validation is required in more complex environments. © 2024 ieee.

关键词： Prisms

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Addressing Challenges and Promoting Standardization in EVCS: A Review 3

Addressing Challenges and Promoting Standardization in EVCS:...

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3rd ieee International conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Garg, Aditya Pattnaik, Twinkle Verma, Shivpal R. Ballal, Makarand S. Wath, Manish G. Wakode, Sarvesh A. Visvesvaraya National Institute of Technology Department of Electrical Engineering Nagpur India

ISBN: (纸本)9798350304732

The development of electric vehicles (EVs) has caught the attention of automotive companies, policy-making bodies, and consequently researchers due to growing environmental concerns. However, focusing only on EVs is insufficient because the deployment of these vehicles depends on Electrical Vehicle Charging Stations (EVCS). The installation of these EVCS creates a number of challenges because these vehicles are electric. Load forecasting and Grid overloading are the earlier key issues, and charging times and traffic-crowd management are the latter. The Indian government is focusing on the deployment of EVs and the building of EVCS to prioritise the establishment of eco-friendly habitats. The government has decreased tariffs on EVs and introduced incentives to encourage the establishment of EVCS to meet its aim of reducing carbon emissions from the transportation sector. In order to install a EVCS there, this article outlines several standard organizations issued by the Government of India. Electric car manufacturer on a big scale is being hindered by the lack of consistency in commercial setup and charging technology. The authors have compiled technological and business issues in the EVCS set up in the current article to address the same. In this article, the discussion on various types of EVCS, cutting-edge technological advancements, complex battery charging methodologies, and rigid industry standards has become the forge in which the future of sustainable transportation is being forged in the dynamic world of electric mobility. © 2023 ieee.

关键词： Charging methods Electric Vehicle Charging Station Recent technologies Standardization

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