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6th IEEE Novel Intelligent and Leading Emerging sciences Conference, NILES 2024

作者： Abdelmalek, Shady R. Retig, Ma Althea F. B. Ansari, Fakeha S. Gomaa, Mennatallah A. Alaaeldin, Amr Kaddah, Sahar S. Badr, Basem M. University of Genoa Faculty of Engineering Robotics Department Italy The British University in Dubai Faculty of Engineering and It Computer Science Department United Arab Emirates Mansoura University Renewable and Sustainable Energy Department Mansoura Egypt Mansoura University Faculty of Engineering Electrical Power Department Mansoura Egypt Mansoura University Faculty of Engineering Electrical Engineering Department Mansoura Egypt Lotus Power VancouverBC Canada

ISBN: (纸本)9798350378511

Connecting electric mobility (E-Mobility) systems with Internet of Things (IoT) technology is a crucial strategy for modern transportation and driving assistance systems. IoT and Advanced Driver Assistance Systems (ADAS) applications in the field are examined in this research. Different techniques are designed and developed for ADAS functionality, such as lane and object detection via image and video segmentations. Multiple lane detection models are developed and tested, each of which is then deployed on AWS (Amazon Web Services) cloud and optimized using OpenVINO to speed up inference. Furthermore, telemetry data from various embedded devices are transmitted to AWS IoT core and presented on an easy-to-use web application. This paper shows how deploying systems on cloud platforms like AWS improves scalability and operational efficiency. It also highlights how IoT and cloud technologies may improve the performance of E-Mobility systems and offers a strong foundation for further advancements in the ADAS area. © 2024 IEEE.

关键词： Web services

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Customized Touch UI Development for E-Cockpit in Automobile 3

Customized Touch UI Development for E-Cockpit in Automobile

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3rd International Conference on Smart Technologies, Communication and robotics, STCR 2023

作者： Sivaraj, D. Rathika, P.D. Jayasree, D. Dwarkesh Psg College of Technology Department of Electronics and Communication Engineering Coimbatore India Psg College of Technology Department of Robotics and Automation Engineering Coimbatore India Psg Polytechnic College Department of Electronics and Communication Engineering Coimbatore India Psg College of Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350370867

In recent times, the automotive industry has made significant steps towards digitization by focusing on electronic cockpits (E-Cockpits) to enhance the driving experience, comfort and safety. The incorporation of Touch-Based User Interface (UI) technologies has played a crucial role in revolutionizing Driver-Vehicle interaction [10]. The project of E-Cockpit represents a concept that consolidates various internal car systems onto one unified digital platform, enabling seamless control and access to essential infotainment, safety features, and connectivity services [14]. For the realization of the complete potential of an E-Cockpit, it is important to develop an innovative and User-Friendly touch UI as this directly influences both user experience and safety concerns. © 2023 IEEE.

关键词： User interfaces

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Design and Optimization of the Porous Metamaterial EM Absorbers in X-band

Design and Optimization of the Porous Metamaterial EM Absorb...

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2023 IEEE Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMC+SIPI 2023

作者： Anurakparadorn, Kanat Taub, Alan Michielssen, Eric University of Michigan Macromolecular Science and Engineering Program Department of Material Science and Engineering Ann ArborMI United States University of Michigan Department of Mechanical Engineering Ann ArborMI United States University of Michigan Department of Electrical Engineering and Computer Science Ann ArborMI United States

ISBN: (纸本)9798350309768

A strategy that combines experiment and simulation to design and optimize electromagnetic (EM) metamaterial absorbers containing a periodic porous structure is described. The approach provides the ability to produce absorbers that meet multiple user-specified objectives. Using the measured intrinsic properties of the baseline materials as an input to EM-field based computational modelling and optimization, absorption by the studied metamaterials measured by their reflection loss (RL) increases significantly. The resulting metamaterials have the potential for lower cost and lighter weight while providing greater protection than traditional metal gaskets and foams. © 2023 IEEE.

关键词： Metamaterials

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Systematic Literature Review on Industry Revolution 4.0 to Predict Maintenance and Life Time of Machines in Manufacturing Industry 3

Systematic Literature Review on Industry Revolution 4.0 to P...

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3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Sowmya, P. Ravichandran, Sathish Kumar Rakshitha Department of Robotics and Artificial Intelligence Karnataka Nitte India Christ University School of Engineering and Technology Department of Computer Science Karnataka Bangalore India Department of Artificial Intelligence and Machine Learning Karnataka Nitte India

ISBN: (纸本)9781665462167

Industry 4.0 is digitized revolution for manufacturers or companies where in new technologies are imbibed into their production system for their day-to-day operations or activities. So that their overall economic needs and efficiency can be improved. In manufacturing industry maintenance of the equipment is the key concern. When the equipment requires maintenance, it has to be done at the earliest, failing which companies will have to face consequences in terms of loss of customers, time and money. Solution is provided to this problem in terms of a technique called predictive maintenance. The content of the article focuses on different predictive maintenance strategies, which help manufacturers to forecast if equipment/component will fail so that its maintenance and repair can be scheduled exactly before the component fails. The results will be useful for manufacturers to understand the importance of industry 4.0 for predictive maintenance. © 2023 IEEE.

关键词： Industry 4.0

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Swarm Intelligence for Multi-Robot Coordination in Agricultural Automation 10

Swarm Intelligence for Multi-Robot Coordination in Agricultu...

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

作者： Abhang, L.B. Gummadi, Annapurna Changala, Ravindra Vuyyuru, Veera Ankalu Sabareesh, R. Raj, I. Infant Pravara Rural Engineering CollegeLoni under. Sppu University Automation and Robotics Dept Pune India Hyderabad India Guru Nanak Institutions Technical Campus Department of Information Technology Hyderabad India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram India Ecsotics Farm Foods Private Limited Bangalore India K.Ramakrishnan College of Engineering Department of Computer Science and Engineering Tamil Nadu Trichy India

ISBN: (纸本)9798350384369

The research investigates the optimization of multi-robot coordination in agricultural automation through Particle Swarm Optimization. The methodology unfolds in four key aspects: firstly, by harnessing swarm intelligence principles, the approach enhances coordination among multiple robots in agricultural settings, fostering collaboration and dynamic task allocation in response to real-time changes. Secondly, the integration of Particle Swarm Optimization (PSO) introduces a powerful optimization technique, enabling the algorithm to dynamically adapt the swarm's configuration. This adaptability optimizes task allocation and individual robot positions, enhancing overall efficiency. Thirdly, the methodology systematically tackles scalability, adaptability, and robustness challenges in agricultural automation. By synergizing swarm intelligence and PSO, it ensures efficient scalability with an increasing number of robots and responsiveness to evolving agricultural demands. The holistic design makes it well-suited for practical implementation in real-world agricultural scenarios. A series of experiments varying PSO parameters were conducted, revealing nuanced relationships between iterations, swarm size, and coefficients and their impact on convergence time and fitness metrics. The outcomes demonstrate the trade-offs involved in selecting these parameters for efficient coordination in agricultural tasks. A comparative analysis with ABO and ACO highlights PSO's superior performance, achieving remarkable fitness value of 98% in the context of robotic swarm applications. © 2024 IEEE.

关键词： Scalability

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Information Elicitation from Decentralized Crowd Without Verification 21

Information Elicitation from Decentralized Crowd Without Ver...

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21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023

作者： Chen, Kexin Huang, Chao Huang, Jianwei The School of Science and Engineering The Chinese University of HongKong Shenzhen518172 China The Department of Computer Science The University of California Davis United States School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society The Chinese University of HongKong Shenzhen518172 China

ISBN: (纸本)9783903176553

Information Elicitation Without Verification (IEWV) refers to the problem of eliciting high-accuracy solutions from crowd members when the ground truth is unverifiable. A high-accuracy team solution (aggregated from members’ solutions) requires members’ effort exertion, which should be incentivized properly. Previous research on IEWV mainly focused on scenarios where a central entity (e.g., the crowdsourcing platform) provides incentives to motivate crowd members. Still, the proposed designs do not apply to practical situations where no central entity exists. This paper studies the overlooked decentralized IEWV scenario, where crowd members act as both incentive contributors and task solvers. We model the interactions among members with heterogeneous team solution accuracy valuations as a two-stage game, where each member decides her incentive contribution strategy in Stage 1 and her effort exertion strategy in Stage 2. We analyze members’ equilibrium behaviors under three incentive allocation mechanisms: Equal Allocation (EA), Output Agreement (OA), and Shapley Value (SV). We show that at an equilibrium under any allocation mechanism, a low-valuation member exerts no more effort than a high-valuation member. Counter-intuitively, a low-valuation member provides incentives to the collaboration while a high-valuation member does not at an equilibrium under SV. This is because a high-valuation member who values the aggregated team solution more needs fewer incentives to exert effort. In addition, when members’ valuations are sufficiently heterogeneous, SV leads to team solution accuracy and social welfare no smaller than EA and OA. © 2023 IFIP.

关键词： Information dissemination

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Automatic messaging system by detecting the road accidents for vehicle applications

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Materials Today: Proceedings 2023年 80卷 3124-3128页

作者： Karthik, M. Sreevidya, L. Vinodha, K. Thangaraj, M. Hemalatha, G. Sena, T. Viswak Department of Electrical and Electronics Engineering Sri Ramakrishna Engineering College Tamil Nadu Coimbatore641 022 India Department of Electrical and Electronics Engineering VSB College of Engineering Tamil Nadu Coimbatore642 109 India Department of Computer Science and Engineering New Horizon College of Engineering Karnataka Bengaluru560 103 India Department of Electrical and Electronics Engineering Coimbatore Institute of Engineering & Technology 641 055 Tamil Nadu India Department of Robotics and Automation Sri Ramakrishna Engineering College Tamil Nadu Coimbatore641 022 India

The emerging advancements in innovation has changed our lives drastically making it ease. Yet in this forefront world the rate of automobile accidents is still increasing resulting in increased fatality rate majorly due to untimely attention of emergency services. Our project will provide the best possible answer to this problem. When an automobile collides with another vehicle, the MEMS sensor senses this and sends the data, which is then processed by Arduino, according to this project. The Arduino sends an alarm message to a police control room or a rescue squad via the GSM Module, which includes the position. As a result, as soon as the police receive the information, they can use the GPS Module to track down the location. Then, once the location has been confirmed, the necessary steps will be taken. The project alerts the emergency services and the family members for immediate help by sending the location when an accident occurs. © 2021

关键词： Global system for mobile communications

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Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving

Enhance Planning with Physics-informed Safety Controller for...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Zhou, Hang Liu, Haichao Lu, Hongliang Ma, Jun Ji, Yiding Robotics and Autonomous Systems Thrust Systems Hub Guangzhou China School of Engineering The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering SAR Hong Kong Hong Kong Intelligent Transportation Thrust Systems Hub Guangzhou China

ISBN: (纸本)9781665481090

Recent years have seen a growing research interest in applications of Deep Neural Networks (DNN) on autonomous vehicle technology. The trend started with perception and prediction a few years ago and it is gradually being applied to motion planning tasks. Despite the performance of networks improve over time, DNN planners inherit the natural drawbacks of Deep Learning. Learning-based planners have limitations in achieving perfect accuracy on the training dataset and network performance can be affected by out-of-distribution problem. In this paper, we propose FusionAssurance, a novel trajectory-based end-to-end driving fusion framework which combines physics-informed control for safety assurance. By incorporating Potential Field into Model Predictive Control, FusionAssurance is capable of navigating through scenarios that are not included in the training dataset and scenarios where neural network fail to generalize. The effectiveness of the approach is demonstrated by extensive experiments under various scenarios on the CARLA benchmark. © 2024 IEEE.

关键词： Deep neural networks

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Stress detection system for social media users 7

Stress detection system for social media users

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7th International Conference on computer science and Computational Intelligence, CSCI 2022

作者： Febriansyah, Mochamad Rizky Nicholas Yunanda, Rezki Suhartono, Derwin Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Software Engineering Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Stress detection is a growing topic in the field of natural language processing. The study of stress detection for mental health prediction has been proven to benefit the development of recommender systems and automated mental health assessments in previous studies. Additionally, the widespread usage of social media has served as a potential data source for developing such models. Our research tried to detect whether the users of social media were under stress or not. We used a dataset from Dreaddit consisting of posts from one of the popular social media platforms, Reddit. We propose a machine learning model consisting of Support Vector Machine (SVM), Naïve Bayes, Decision Tree, Random Forest, Bag of Words, and Term Frequency - inverse document frequency (TF-IDF) for stress detection. The final evaluation of the model achieved an 80.00% F-1 Score and 75.00% accuracy, and both were scored by SVM. © 2022 Elsevier B.V.. All rights reserved.

关键词： Support vector machines

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Development of Wireless Integrated Early Warning System (EWS) for Hospital Patient 1

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International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2022

作者： Steady Oey, Endra Astuti, Winda Andriatin, Yuli Astuti Automotive and Robotics Program Computer Engineering Department BINUS ASO School of Engineering Bina Nusantara University Jakarta11480 Indonesia Nursery Department Cilacap Regional General Hospital Gatot Subroto No. 28 Central Java Cilacap53223 Indonesia

ISBN: (数字)9783031290787

ISBN: (纸本)9783031290770

The implementation of the Early Warning System (EWS) in hospitalized patients aims to identify worsening of the patient’s condition based on the assessment of vital signs. Currently, the EWS is still applied manually by nurses by filling out observation sheets to assess the risk of patient deterioration, so that it can be used. There was an error filling in by the human error factor. In addition, the lack of nurses in Indonesia makes the implementation of EWS not optimal. Therefore, a system for measuring vital signs and risk assessment of patient deterioration was created automatically which nurses can monitor through the website. The results of this study are a system design prototype consisting of five data retrieval devices and a Raspberry Pi as a web server. Each device sends data to the server wireless using the MQ Telemetry Transport (MQTT) protocol. The test results show that the system can retrieve vital signs data automatically every hour and displays a risk that is one level lower than manual EWS implementation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Deterioration

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