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Smart Non-Invasive real-time Health Monitoring using Machine Learning and IoT 9

Smart Non-Invasive Real-Time Health Monitoring using Machine...

引用

9th ieee International symposium on Smart Electronic Systems, iSES 2023

作者： Jyothi, A.P. Shankar, Anirudh Narayan, Ashwath Gaur, Pratistha Kumar, Skanda S Faculty of Engineering &technology Ramaiah University of Applied Sciences Dept. of Cse Karnataka Bengaluru India Branch Ai & Ml Faculty of Engineering &technology Ramaiah University of Applied Sciences Dept. of Cse Karnataka Bengaluru India

ISBN: (纸本)9798350383249

The paper explores a novel approach to health care using Machine Learning and the Internet of Things (IoT) to create a non-invasive real-time health monitoring system. The system uses IoT devices like wearable sensors, smart medical devices, and mobile applications to collect health-related data, including vital signs, activity levels, sleep patterns, and environmental factors. This data is integrated into a centralized cloud-based platform for accessibility and security. Machine Learning algorithms are used to process and interpret the data, detecting anomalies and predicting potential health issues. This allows for personalized health insights and early intervention in preventive healthcare. The system supports user-friendly interfaces, allowing individuals to actively engage in their own health management. Patients, caregivers, and healthcare professionals can access intuitive dashboards and receive notifications or alerts when abnormalities are detected, promoting informed decision-making and timely medical interventions. The Smart Non-Invasive real-time Health Monitoring system has the potential to transform the healthcare industry by changing the emphasis from responding to illnesses after they occur to actively preventing them beforehand. © 2023 ieee.

关键词： Internet of things

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Research on Group-level Pruning Algorithm Based on Progressive Sparsity Regularization 3

Research on Group-level Pruning Algorithm Based on Progressi...

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3rd International Conference on Electronics and Information technology, EIT 2024

作者： Liu, Jianguo Zhou, Qi He, Yibo Chen, Wen Yin, Zhishuai Yan, Fuwu Zheng, Hao Wu, Youhua Foshan Xianhu Laboratory National Energy Key Laboratory for New Hydrogen-Ammonia Energy Technologies Foshan528200 China Wuhan University of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan China Wuhan University of Technology School of Automotive Engineering Hubei Wuhan430070 China SAIC-GM-Wuling Automobile Co. Ltd. Liuzhou545007 China

ISBN: (纸本)9798350369151

With the rapid development of autonomous driving systems, deep learning models play a crucial role in their implementation. However, these models typically have high computational complexity and storage demands, posing challenges to the real-time processing capabilities of embedded devices. To address this issue, this paper proposes a group-level pruning algorithm based on progressive sparsity regularization. The algorithm groups model parameters and progressively increases the sparsity regularization strength, effectively reducing computational load and storage requirements while maintaining model performance. Additionally, the algorithm introduces group-level weight importance calculation based on the L2-norm, combined with weight gradient direction information to achieve a more refined pruning strategy. Experimental results demonstrate that the proposed algorithm achieves a 2.58× speedup on the ResNet-56 model on the CIFAR dataset, significantly compressing the model's parameter size while maintaining accuracy. This research provides an effective solution for real-time applications such as autonomous driving, where efficient model deployment is essential. © 2024 ieee.

关键词： Deep learning

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Reliable and Expandable SPI Interface for Multichannel ADC

Reliable and Expandable SPI Interface for Multichannel ADC

引用

ieee SoutheastCon Conference on Engineering the Future

作者： Suresh, Ammaiappan Pruthviraj, N. N. Srivastava, Sangeeta Ranjan, Nihar Bharat Elect Ltd PDIC Embedded Syst Bangalore India

ISBN: (纸本)9798350317107;9798350317114

Reliability and built in test are very important parameters for the development of product. Reliability ensures the consistent working ofproduct without failure for long term. Built In Test Equipment (BITE) ensures the ability of the product to test itself. This paper presents the implementation of SPI interface to work with multichannel ADC and also illustrates how the reliability and BITE are achieved. Analog to digital converters are mainly used in embedded systems to convert the analog data received by the sensors to digital data. ADCs only provide the real time connectivity to the digital world. Recent trends in semiconductor technology incorporate the multiple numbers of ADCs, and DACs into controllers, and FPGAs. Controllers with inbuilt ADCs and DACs are considered mainly for static applications, whereas FPGAs such as RFSoCs from M/s Xilinx and M/s Intel are used for dynamic applications mainly for high frequency RF bands where stringent task of synchronization across the channels has been simplified. STM32F7 has 19 ADCs as on-chip peripherals. But, if more number of ADC channels are required, or if requirement of other peripherals such as UART, I2C, Ethernet, GPIOs etc is increased, or even few of the inbuilt ADCs cannot be used due to shortage of the dedicated pins, then external ADC is to be used. STM32F7 series controllers are equipped with a Serial peripheral Interconnect (SPI) bus, I2C, UART, etc to communicate with the off chip peripherals. ADC ICs are available with data transfer interfaces such as SPI, I2C, UART etc. This claim presents the hardware interfacing of ADC with SPI interface to STM32F7 Microcontroller and the unique implementation using SPI interface. Microcontroller facilitates an easy unique implementation of 3-wire SPI serial interface. Slave select line is hardwired to save a pin if there are no multiple slave devices connected. A methodology is presented to expand the interconnections of more numbers of ADCs with limited GPIOs.

关键词： Reliability BITE ADC DAC RFSOC UART SPI 12C

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Feasibility study of an embedded platform for biopotentials acquisition during sports activities 1

Feasibility study of an embedded platform for biopotentials ...

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1st ieee International Workshop on Sport technology and Research (ieee STAR)

作者： Serrani, Alessio Aliverti, Andrea Kalpa Srl Dipartimento Elettron Informaz Bioingegneria Politecn Milano Milan Italy Politecn Milan Dipartimento Elettron Informaz Bioingegneria Milan Italy

ISBN: (数字)9781665486019

ISBN: (纸本)9781665486019

The application of wearable devices for monitoring purposes is an open research topic and the study of increasingly reliable platforms is becoming more and more treated and widespread in the research community due to the recent great development of the telemedicine field. A telemedicine platform based on wearable sensors could allow the reduction of the hospitalizations, the prevention of acute events in chronic patients, the monitoring of the drug therapy's functioning or just an autonomous and periodic monitoring of the patient's health status during daily life or sports practice. Nowadays plenty of monitoring platforms are present in the market, developed for different use cases and scenarios, but usually the design is uncomfortable for the daily usage during sport activities or the clinical relevance of the collected information is poor. In order to address these issues, in this paper we propose an innovative fully wireless embedded platform to collect multiple physiological parameters in a real-time scenario, designed to both maximise user comfort and ensure high synchronization performance between different sensor nodes. Examples of possible applications could be the assessment of the sport performance during a physical training session or the real time evaluation of athletes' health status during long-term sport competitions.

关键词： embedded monitoring platform real-time Body sensor network Sport Fitness

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Design and Implementation of a Temperature Monitoring System for the Safety of Electric Vehicle Transport on Maritime Transport 30

Design and Implementation of a Temperature Monitoring System...

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30th ieee International symposium for Design and technology in Electronic Packaging, SIITME 2024

作者： Moise, Madalin Vasile Oncioiu, Denis-Cosmin Vochin, Marius-Constantin POLITEHNICA Bucharest Faculty of Electronics Telecommunications and Information Technology Department of Electronics Technology Bucharest Romania POLITEHNICA Bucharest Faculty of Electronics Telecommunications and Information Technology Department of Tecomunications Bucharest Romania

ISBN: (纸本)9798331539511

This paper presents a practical application for a growing technology: The Internet of Things (IoT). It details the design and implementation of a custom, battery-powered, embedded prototype system for fast and early fire detection in vehicles onboard maritime transport. The system primarily relies on gas detection and thermal imaging cameras. The system utilizes a network of portable sensors mounted underneath the vehicles for monitoring. These sensors communicate with a central base station using the LoRa protocol for long-range, low-power communication. Prior to installation, each sensor is programmed using an integrated keyboard to specify its exact mounting location. The base station then interrogates each sensor individually, receiving real-time data only from the queried sensor. This data includes the location, CO and COV concentrations, ambient temperature and humidity, and the temperature beneath the vehicle surface. The base station acts as a server with integrated Wi-Fi and Bluetooth for wireless communication. This allows for easy access to the collected data in the future from a mobile application, website, or online database. The data is displayed on a web interface for convenient monitoring and analysis. Additionally, both the base station and the web interface display visual alerts. To ensure quicker detection and response, an audio signal also sounds from the sensor that detects the danger. © 2024 ieee.

关键词： Thermography (imaging)

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Developing a Scalable IoT Architecture for Precision Agriculture Using Edge Computing 2

Developing a Scalable IoT Architecture for Precision Agricul...

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2nd ieee International Conference on IoT, Communication and Automation technology, ICICAT 2024

作者： Varaprasad Rao, P. Varshney, Neeraj Sundaram, N.Kalyana Kishore, B. Husain, Saif O. Kanys, N. GRIET Bachupally Department of CSE Telangana Hyderabad India GLA University Department of Computer Engineering & Applications Mathura India New Prince Shri Bhavani College of Engineering and Technology Department of IT Tamil Nadu Chennai600073 India CMR Institute of Technology Department of ECE Telangana Hyderabad India The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Dr.M.G.R.Educational and Research Institute Department of Information Technology India

ISBN: (纸本)9798350368109

The interoperability of more devices onto the IoT and the addition of the low-power applications like sensors and other embedded systems have posed severe security challenges. Many cryptographic protocols are ineffective for such devices since they demand high functionalities, thus the development of lightweight kinds of authentication. Based on this we would like to present a new lightweight authentication protocol suitable for IoT constrained devices. This protocol uses Elliptic Curve Cryptography (ECC) for key exchange part of the communication while using symmetric key cryptography for the actual data exchange. The feasibility and performance of the proposed protocol is analyzed and tested on real time sensed data obtained from the Intel Berkeley Research Lab dataset involving a make-believe IoT network of hundred devices. The performance evaluation shows enhanced energy reduction, the time taken in authentication, the amount of chatter in the network, and the amount of memory occupied, when compared with other approaches. The protocol is very flexible and can be integrated into any system;it also has the ability to counter most security threats hence suitable for low power IoT devices. The future work will also investigate other additional improvements and how other methods can be incorporated to improve security as well as performance. © 2024 ieee.

关键词： Authentication

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real-time applications OF THE NASA EARTH SCIENCE "NEW OBSERVING STRATEGY"

REAL-TIME APPLICATIONS OF THE NASA EARTH SCIENCE "NEW OBSERV...

引用

ieee International Geoscience and Remote Sensing symposium (IGARSS)

作者： Seablom, Michael Le Moigne, Jacqueline Kumar, Sujay Forman, Barton Grogan, Paul NASA Earth Sci Div Washington DC 20546 USA NASA Goddard Space Flight Ctr Greenbelt MD 20771 USA Univ Maryland College Pk MD 20742 USA Stevens Inst Technol Hoboken NJ 07030 USA

ISBN: (数字)9781665427920

ISBN: (纸本)9781665427920

We discuss the long-term evolution of an initiative being led by NASA's Earth Science technology Office (ESTO) known as the "New Observing Strategy" [1] and describe a recent implementation of NOS in support of a virtual scientific field campaign. NOS represents a revolutionary change in the design and execution of Earth Science missions, replacing the monolithic "single satellite" approach with loosely coordinated or disaggregated, multi-platform observatories that have the potential for significant enhancement to scientific return. During late 2021 and early 2022, ESTO launched a pathfinder demonstration of NOS, in which observations of flooding events triggered by heavy rain over wildfire burn scars were intelligently targeted for collection by a numerical prediction system. The resulting "optimized" set of observations were used for characterizing deficiencies inherent in the accurate modeling of the debris flow runoff, which can result in deadly, fast-moving landslides.

关键词： Wildfire floods New Observing Strategy data assimilation sensor web

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real-time Scheduling for 802.1Qbv time-Sensitive Networking (TSN): A Systematic Review and Experimental Study

Real-Time Scheduling for 802.1Qbv Time-Sensitive Networking ...

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ieee symposium on real-time and embedded technology and applications

作者： Chuanyu Xue Tianyu Zhang Yuanbin Zhou Mark Nixon Andrew Loveless Song Han School of Computing University of Connecticut Singapore University of Technology and Design Emerson Automation Solutions NASA Johnson Space Center

ISBN: (数字)9798350358414

ISBN: (纸本)9798350358421

time-Sensitive Networking (TSN) has been recognized as one of the key enabling technologies for Industry 4.0 and has been deployed in many mission- and safety-critical applications e.g., automotive and aerospace systems. Given the stringent real-time requirements of these applications, the time-Aware Shaper (TAS) draws special attention among TSN's many traffic shapers due to its ability to achieve deterministic timing guarantees. Many scheduling methods for TAS shapers have been recently developed that claim to improve system schedulability. However, these scheduling methods have yet to be thoroughly evaluated, especially through experimental comparisons, to provide a systematical understanding of their performance in diverse application scenarios. In this paper, we fill this gap by presenting a systematic review and experimental study on existing TAS-based scheduling methods for TSN. We first categorize the system models employed in these works along with the specific problems they aim to solve, and outline the fundamental considerations in the designs of TAS-based scheduling methods. We then perform an extensive evaluation on 17 representative solutions using both high-fidelity simulations and a real-life TSN testbed, and compare their performance under both synthetic scenarios and real-life industrial use cases. Through these studies, we identify the limitations of individual scheduling methods and highlight several important findings. We expect this work will provide foundational knowledge and performance benchmarks needed for future studies on real-time TSN scheduling.

关键词： Job shop scheduling Systematics Reviews Benchmark testing real-time systems Timing Fourth Industrial Revolution

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Development and Accuracy Analysis of embedded Based Instrumentation Toward ZigBee and NB-IoT Networks for Efficiency Energy applications

Development and Accuracy Analysis of Embedded Based Instrume...

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2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

作者： Anupan, Warit Nunsong, Suttirak Yotsavip, Bantita Boonsong, Wasana Somwong, Sahapong Inthasuth, Tanakorn Rajamangala University of Technology Srivijaya Faculty of Engineering Department of Electrical Engineering Songkhla Thailand Rajamangala University of Technology Srivijaya Faculty of Industrial Education and Technology Department of Electrical Education Songkhla Thailand

ISBN: (纸本)9798350320213

Wireless solutions are required to connect the system since the wireless sensor network (WSN) and the internet of things (IoT) technologies are utilized in applications for energy efficiency. This paper presents the architecture and accuracy analysis of the instruments for real-time monitoring relevant to electricity information. In addition, the proposed system connected from ZigBee to the narrowband internet of things (NB-IoT) network. In particular, the proposed instruments have been verified and tested to guarantee our instrumentation. We applied the R-square analysis (R2) for accurate evolution measurements. The result can be monitoring each appliance's electricity consumption and real-time environmental reports. © 2023 ieee.

关键词： and smart home IoT NB-IoT WSN ZigBee

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Jointly Ensuring Timing Disparity and End-to-End Latency Constraints in Hybrid DAGs

Jointly Ensuring Timing Disparity and End-to-End Latency Con...

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ieee symposium on real-time and embedded technology and applications

作者： Jinghao Sun Xisheng Li Mingyang Gong Nan Guan Zhishan Guo Mingsong Chen Jun Zhao Qingxu Deng Dalian University of Technology China City University of Hong Kong Hong Kong North Carolina State University U.S East China Normal University China Northeastern University China

ISBN: (数字)9798331543402

ISBN: (纸本)9798331543419

Autonomous machines often encounter complex timing constraints, such as those concerning end-to-end timing guarantees and real-time data fusion, etc. Tasks are often event-triggered or time-triggered at varying rates and exhibit data dependencies in between. Maintaining the real-time performance of autonomous machines becomes a highly challenging endeavor. In this paper, we formulate the workload of an autonomous machine as a hybrid Directed Acyclic Graph (DAG), which contains both time-trigger tasks and event-trigger tasks, with a distinct focus on the task of ensuring timing consistency in data fusion and adherence to end-to-end constraints within the DAG model. We design a concise mechanism to select suitable data received by a node and transmit them to successor nodes. This ensures both the timing disparity—as reflected by the differences in timestamps of the data used for fusion—and the end-to-end latency from the sensor to the controller is confined within a certain boundary. The proposed method is proven to be optimal as it always selects suitable data to guarantee the timing correctness of an autonomous machine as far as it (inherently) has the capacity. Experimental results show that our method can significantly improve the success rate of guaranteeing both timing consistency and end-to-end constraints of the autonomous machine.

关键词： Directed acyclic graph Autonomous systems Event detection Data integration real-time systems Data models Timing Safety Machinery

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