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Mean Field Analysis of Serverless Edge computing for Smart Vehicle applications 4

Mean Field Analysis of Serverless Edge Computing for Smart V...

引用

4th international conference on Electronic Information Engineering and Computer Communication, EIECC 2024

作者： Yao, Yuan He, Rong Wuhan Institute of Technology School of Computer Science and Engineering Wuhan China

ISBN: (纸本)9798331534622

Smart cities and vehicles generate numerous time sensitive tasks, making edge computing a key solution for reducing latency. However, using serverless models at the edge faces challenges like dynamic city traffic and resource constraints. This study analyzes serverless edge computing for smart vehicles through modeling and experiments. we develop a mean field model captures steady-state system behavior under stochastic job arrivals, enabling efficient analysis of metrics like mean sojourn time and service degradation probability. Through experiments and simulations, we demonstrate the feasibility of serverless edge servers for low-latency offloading, providing insights for optimizing these systems in urban environments. © 2024 ieee.

关键词： Edge computing Mean field Model Performance Analysis Serverless

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An Automated Face Mask Detection Using Ensemble Learning Approach 5

An Automated Face Mask Detection Using Ensemble Learning App...

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5th international conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Kumar, B. Kiran Mounika, Guggilam Harish, R.V.S. Nagarjuna, Valeti St. Ann's College of Engineering & Technology Embedded Systems Andhra Pradesh Chirala523187 India St. Ann's College of Engineering & Technology Andhra Pradesh Chirala523187 India Kallam Haranadhareddy Institute of Technology Dept of Cse NH-16 Andhra Pradesh Chowdavaram India

ISBN: (纸本)9798350379945

The COVID-19 pandemic and other infectious diseases are spreading quickly, which has brought attention to how essential face masks are in stopping the spread of respiratory disorders. To ensure compliance with mask-wearing rules, automatic face mask detection devices are becoming increasingly important. The application of Automated Convolutional Neural Networks (ACNN) in conjunction with Internet of Things (IoT) devices for an Automated Face Mask Detection is the main emphasis of this research. The suggested method correctly detects people wearing or not wearing face masks in real-time video and picture data by leveraging ACNN, a deep-learning architecture created for image segmentation. A wide range of labeled photos of people wearing and not wearing masks are used to train the FCNN. The model is ideal for real-world applications in public areas, healthcare facilities, and educational institutions due to its high accuracy and efficiency. real-time monitoring and notifications are made possible by the integration of IoT devices, which improves the operation of the system. In order to collect images and videos data, IoT sensors and cameras are positioned strategically in specific regions. A central processing unit (CPU) that executes the trained FCNN model is connected to these devices. Using email, SMS, or a mobile app, the system instantly notifies the appropriate authorities or persons when it finds someone not donning a face mask. © 2024 ieee.

关键词： Convolutional neural networks

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Design of U-Shaped Slot Antenna with Reflector for 5G applications 10

Design of U-Shaped Slot Antenna with Reflector for 5G Applic...

引用

10th international conference on Advanced computing and Communication systems, ICACCS 2024

作者： Vijayalakshmi, J. Vinod, Vibin Mammen Dinesh, V. Akalya, S. Aarthi, V.S. Aravind, A.G. Kongu Engineering College Department of Ece Erode India

ISBN: (纸本)9798350384369

This paper presents the design of an antenna that consists of a standard rectangular patch on which a U-shaped slot antenna is embedded. The proposed antenna concentrates on the improvement of gain and makes the antenna a compact one. The rectangular patch antenna is designed at a frequency of 2.45GHz. U-slot reduces the physical size of the patch and enhances the bandwidth. A reflector is placed below the patch antenna to enhance the front-to-back ratio by blocking the radiation in the backside and improving the gain. The simulated result of gain and directivity for the four iterations of the U-slot has been improved from 1.44dB and 6.40dB to 4.26dB and 6.85dB respectively. The dimensions obtained for the compact-sized antenna are 27.3mm X 36mm. Gain and directivity obtained after adding the reflector are 4.09dB and 6.70dB respectively. © 2024 ieee.

关键词： Reflection

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PLC-SCADA based Online Monitoring and Conditioning of Laboratory

PLC-SCADA based Online Monitoring and Conditioning of Labora...

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2024 ieee international conference on Intelligent systems and Advanced applications, ICISAA 2024

作者： Prasad, Shashikant Kadam, Swaraj Dhanadhya, Trupti Kanase, Digvijay Jadhav, Sachin Dr. D. Y. Patil Institute of Engineering Department of Electrical Engineering Pimpri Pune India

ISBN: (纸本)9798331539948

The potential for energy savings in commercial buildings is significant, with international studies indicating a reduction of 2 5 to 3 5 through automation. In India, however, the adoption of automation in commercial buildings remains limited, primarily concentrated in industrial settings. This paper examines the implementation of automation in critical systems such as air conditioning and lighting within commercial buildings. Using Programmable Logic Controllers (PLCs) as the preferred automation technology, this research outlines the design and deployment of a PLC-based energy-saving system. The integration of a PLC-SCADA framework for real-time monitoring and control is demonstrated to enhance system efficiency, optimize energy consumption, and enable proactive maintenance. The findings emphasize the economic and environmental benefits of adopting PLC-based automation in commercial buildings, highlighting its scalability and reliability. This study contributes to advancing automation practices in India's commercial sector, encouraging broader adoption for sustainable energy management. © 2024 ieee.

关键词： SCADA systems

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real- time Hand Gesture Recognition for Home Automation: A YOLOv8-Based Approach with Identity Verification and Low-Resource Hardware Implementation 21

Real- Time Hand Gesture Recognition for Home Automation: A Y...

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21st international Multi-conference on systems, Signals and Devices, SSD 2024

作者： Hussein, Shayda Khalid Ahmed, Abdullah Salam Kul, Zeynep Ashir, Abubakar M. Tishk International University Dept. of Computer Engineering Erbil Iraq

ISBN: (纸本)9798350374131

The article introduces an approach for real-time sign language detection tailored for home automation applications. The proposed model utilizes the YOLOv8 (You Only Look Once) architecture for efficient and accurate sign detection while incorporating face recognition for identity verification. The fusion of sign language detection and identity verification enhances the system's usability in secure and personalized home automation environments. To address the challenge of deploying this system on low-resource hardware such as the Raspberry Pi, a unique approach is taken. The model leverages a combination of low-resolution and high-resolution images, optimizing the trade-off between accuracy and computational efficiency. This design choice ensures the feasibility of real-time sign language detection on resource-constrained devices commonly found in home automation setups. Furthermore, the system implements a frame skipping technique to reduce the frame rate, maintaining real-time responsiveness while further alleviating computational demands. This feature enhances the adaptability of the proposed model to diverse hardware configurations, making it suitable for a broad range of applications within the context of home automation. Impressive and consistent results were obtained at both experimental and implementation stages. It shows that this systems precision accuracy goes up to 97%. © 2024 ieee.

关键词： Object detection

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A fully embedded AI system for the detection of soft falls using accelerometer data in real time 12

A fully embedded AI system for the detection of soft falls u...

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12th international conference on Computer Technologies and Development (TechDev)

作者： Percino, Gamaliel Bourgeais, Annie Fenneteau, Alexandre Pitard, Vincent Capgemini Engn St Herblain France

ISBN: (纸本)9798350381269;9798350381276

Fall detection has been widely studied given the incidence of falls in the elderly population, often resulting in physical injuries that require prolonged medical treatment. This paper proposes a detection system to detect falls, and more importantly "soft falls". Soft falls do not necessarily produce physical injuries, but may be the consequence of a serious health issue such as a heart attack. Soft falls are more difficult to detect as they can be mistaken for daily activities. The detection system implements an artificial neuronal network model that reaches an AUC score of 98%. The model is reduced in size using a TinyML framework to be deployed in real time on a microcontroller, making it compatible with wearable systems that do not invade or restrict mobility and activities of users.

关键词： soft fall detection embedded system deep learning AI TinyML accelerometer data

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An Early Warning Smart Healthcare Kit to Avoid Road Accidents 7

An Early Warning Smart Healthcare Kit to Avoid Road Accident...

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7th international conference on Intelligent computing and Control systems, ICICCS 2023

作者： Theagarajan, Padma Murugan, Logapriya Nagarajan, Swetha Govindaraj, Vinothini Murugan, Shandhiyaa Devi Aravintha Sona College of Technology Department of Computer Applications Salem India

ISBN: (纸本)9798350397253

Smart health kits are innovative devices that can monitor various health-related parameters in real time. Inadequate healthcare facilities in rural areas, people have limited access to quality healthcare services, leading to increased morbidity and mortality rates. Lack of patient monitoring makes it challenging to identify and treat illnesses in their early stages since remote patients frequently do not receive routine checkups and monitoring. The enormous cost of healthcare is a significant burden for many individuals, particularly those living in poverty. Inefficient healthcare delivery in the traditional healthcare system is often bogged down by bureaucracy and inefficiency, leading to long wait times, incorrect diagnoses, and ineffective treatments. real-time healthcare monitoring is necessary to deliver effective treatment. real-time patient data, such as vital signs, medical history, and other pertinent information, must be available to healthcare practitioners. The goal of the smart healthcare kit using an embedded system is to address the health problems of persons while driving vehicles. The embedded medical sensors such as temperature, heart rate, and alcohol gas sensors collect and transmit patient data to healthcare providers in real time enabling them to make informed decisions about patient care. This kit may be mounted to the steering wheel of any vehicle, making it simple to use and accessible for anyone while driving. The temperature sensor keeps track of the driver's body temperature and alerts the driver if it rises above a certain threshold. The heart rate sensor monitors the heart rate and notifies the user when it changes unexpectedly. Similarly, an alcohol gas sensor measures the alcohol concentration in the driver's exhaled breath to determine whether they have consumed alcohol. Thus, the smart health kit is an effective tool that can detect serious health hazards, ensure motorists are healthy while operating vehicles, and prevent accidents

关键词： Internet of things

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Development of a Weather Station Using IoT Platform Based Arduino Integrated With a Control System for Smart Agriculture applications

Development of a Weather Station Using IoT Platform Based Ar...

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ieee international conference on Automatic Control and Intelligent systems (I2CACIS)

作者： Khan, A. A. Makmud, M. Z. H. Miskon, M. T. Nair, A. Biding, K. Univ Malaysia Sabah Fac Sci & Nat Resources 1 Green Technol & Adv Matter GREAT Res Grp Kota Kinabalu 88400 Sabah Malaysia Coll Engn Sch Elect Engn UiTM Terengganu 23000 Dungun Campus Terengganu Malaysia Univ Malaysia Sabah Fac Trop Forestry Forest Water Secur Res Grp Jalan UMS Kota Kinabalu 88400 Sabah Malaysia Univ Malaysia Sabah Fac Sci & Nat Resources Environm Sci Programme Kota Kinabalu 88400 Sabah Malaysia

ISBN: (纸本)9798350372113;9798350372106

The increasing impacts of climate change on agriculture necessitates a shift towards adaptive solutions, with Climate-Smart Agriculture (CSA) emerging as a pivotal paradigm. This study underscores the imperative transition from conventional farming to CSA by shedding light on multi-faceted applications of IOT-based weather stations. This article details the design, development, and implementation of a lowcost weather station integrated with a control system, driven by Arduino Mega. This system also includes cloud- based and edg-ebased data transmission capabilities enabling real-time data monitoring for the farmers and efficient data collection. In the context of precision agriculture and smart farming, this study aims to achieve the goals of meteorological innovations, cost-effectiveness, customizability, and scalable solutions for diverse applications such as weather monitoring, climate forecasting, pesticide spray, CO2 injection, and automated irrigation. Results and discussions showcase the system's capabilities in capturing meteorological data, including CO2 concentration, solar irradiation, wind speed, wind direction, and rainfall. The study concludes by highlighting the flexibility and scalability of the designed system, with potential applications extending beyond environmental monitoring to encompass irrigation control, plant health monitoring, and overall productivity enhancement.

关键词： Smart farming automation IOT weather station Climate-Smart Agriculture

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Cyber-Physical systems: Design Standards, applications, Limitations, Challenges, and Future Perspectives 5th

Cyber-Physical Systems: Design Standards, Applications, Limi...

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5th EAI international conference on Cognitive computing and Cyber Physical systems, IC4S 2024

作者： Palaniappan, Rajkumar Department of Mechatronics Engineering College of Engineering University of Technology Bahrain Salmabad Bahrain

ISBN: (纸本)9783031770777

A revolutionary technology that merges the real and virtual worlds is called a "cyber-physical system" (CPS). This article provides a comprehensive examination of CPS with an emphasis on its design principles, uses, constraints, difficulties, and potential. We examine the foundational ideas behind CPS design, talk about current design guidelines, and emphasize the value of these guidelines in guaranteeing safe and dependable operation. Additionally, we look at several fields where CPS is used and evaluate the restrictions and difficulties deployments of CPS encounter. Our discussion of probable future advancements and research trajectories in the area of cyber-physical systems concludes. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： embedded systems

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YOLOv5-Based Driver Behavior Monitoring System for Safer Roads on Jetson Xavier NX

YOLOv5-Based Driver Behavior Monitoring System for Safer Roa...

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international conference on Advanced Engineering, Technology and applications, ICAETA 2024

作者： Guney, Emin Bayilmis, Cuneyt Department of Computer and Information Engineering Institute of Natural Sciences Sakarya University Sakarya54050 Turkey Department of Computer Engineering Sakarya University of Applied Sciences Sakarya54050 Turkey Department of Computer Engineering Sakarya University Sakarya54050 Turkey

ISBN: (纸本)9783031709234

Recent advancements in computer vision and deep learning have led to the widespread adoption of driver assistance systems (ADAS), which play a crucial role in detecting critical situations to ensure driving safety and comfort. However, achieving real-time monitoring of both the driver and the environment remains a significant challenge. This study addresses this gap by developing a real-time ADAS utilizing images from embedded platform cameras. The system employs a driver-oriented approach, analyzing driver conditions, including phone and cigarette use, as well as eye tracking, to detect fatigue and sleep, thus providing timely warnings. Models were trained on GPU using custom datasets, and detection speeds were compared across different embedded platforms and a computer environment. The study culminates in the development of a real-time ADAS prototype boasting a remarkable 95% accuracy rate. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Advanced driver assistance systems

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