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MTP: A Cloud-based real-time Mobile Tele-medicine Platform - systems Paper 20

MTP: A Cloud-based Real-time Mobile Tele-medicine Platform -...

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20th ieee international conference on E-Science (E-Science)

作者： Jayaputera, Glenn T. Bivard, Andrew Widjaya, Ivo Jayaputera, James W. Susanto, Rio Jia, YunJie Pan, Yao Sinnott, Richard O. Univ Melbourne Fac Engn & IT Sch Comp & Informat Syst Melbourne Vic Australia Univ Melbourne Melbourne Brain Ctr Melbourne Vic Australia

ISBN: (纸本)9798350365627;9798350365610

The global demand for tele-medicine services has increased rapidly, prompting clinics to adopt virtual care solutions. This shift towards remote medical consultations has become especially crucial for minimizing direct patient contact, particularly in urgent medical situations where receiving professional healthcare in a timely manner is essential, such as during episodes of stroke. Importantly, access to specialist care in regional centres (spokes) is often limited and relies on communication with major centres (hubs) for consultation and treatment support. The technical needs for tele-medicine are well defined, however the tools are often inadequate, requiring multiple parallel applications to be used at a time. For consultations, remote clinicians need to access to patient assessment notes, medical records and often imaging in order to provide treatment recommendations, oversee patient care and make transfer recommendations when the patient requires a higher level of care. The implementation of the hub and spoke tele-medicine model has been highly successful in supporting regional healthcare throughout the world, greatly increasing access to specialist care. In a typical regional centre (spokes), there is often no specialist staff, which is strongly associated with poorer clinical outcomes among patients living in regional areas. We have developed a single, scalable platform to support tele-medicine needs patients in the Australian context. The platform enables healthcare providers to rapidly connect, collaborate, and plan effective treatment pathways for patients. It supports real-time clinical assessment notes sharing, live patient tracking with integrated video conferencing and chat capabilities by facilitating real-time communication and coordination among medical professionals. The Mobile Tele-medicine Platform (MTP) offers patients and especially those in rural areas a greater chance of receiving the vital care from remote specialists - in particular during

关键词： Mobile Tele-medicine Platform MTP stroke rural health services

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UAV Onboard Hotspot Detection using a Lightweight Thermal Camera and embedded System 31

UAV Onboard Hotspot Detection using a Lightweight Thermal Ca...

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31st ieee international conference on Electronics, Electrical Engineering and computing, INTERCON 2024

作者： Taypicahuana Loza, Ernesto A. Zelada Rodriguez, Jhon Antony Miranda Gil, Anthony Dionicio Nieto, Antero Castro Huaman Bustamante, Samuel G. Instituto Nacional de Investigación y Capacitación en Telecomunicación Universidad Nacional de Ingeniería Peru

ISBN: (纸本)9798350378344

The analysis of a hotspot is a critical issue in mitigating natural disasters such as forest fires and volcanic eruptions. UAVs can be used to monitor a hotspot using manual navigation. However, there is a risk to operators during the natural disaster. In this research, a navigation algorithm is developed to strategically position itself over a hotspot. In the experimental results, the automatic navigation of the drone has a maximum error of 1.7 m with respect to the hotspot and has a duration of 30 s-. This automated approach not only improves the safety of UA Voperators, but also provides an accurate method for positioning over a hot spot, paving the way for applications in automated surveillance and disaster response systems. © 2024 ieee.

关键词： Volcanoes

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An Experimental Study of Two-way Ranging Optimization in UWB-based Simultaneous Localization and Wall-Mapping systems 18

An Experimental Study of Two-way Ranging Optimization in UWB...

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18th ieee international Wireless Communications and Mobile computing conference (IWCMC)

作者： Li, Kai Ni, Wei Wei, Bo Guizani, Mohsen Real Time & Embedded Comp Syst Res Ctr CISTER Porto Portugal Commonwealth Sci & Ind Res Org CSIRO Sydney Australia Northumbria Univ Comp & Informat Sci Newcastle Upon Tyne England Qatar Univ Comp Sci & Engn Dept Doha Qatar

ISBN: (纸本)9781665467490

In this paper, we propose a new ultra-wideband (UWB)-based simultaneous localization and wall-mapping (SLAM) system, which adopts two-way ranging optimization on UWB anchor and tag nodes to track the target's real-time movement in an unknown area. The proposed UWB-based SLAM system captures time difference of arrival (TDoA) of the anchor nodes' signals over a line-of-sight propagation path and reflected paths. The real-time location of the UWB tag is estimated according to the real-time TDoA measurements. To minimize the estimation error resulting from background noise in the two-way ranging, a Least Squares Method is implemented to minimize the estimation error for the localization of a static target, while Kalman Filter is applied for the localization of a mobile target. An experimental testbed is built based on off-the-shelf UWB hardware. Experiments validate that a reflector, e.g., a wall, and the UWB tag can be located according to the two-way ranging measurement. The localization accuracy of the proposed SLAM system is also evaluated, where the difference between the estimated location and the ground truth trajectory is less than 1 meter.

关键词： Ultra-wideband Simultaneous localization and mapping TDoA Optimization Experimental testbed

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Yoga Posture Image Classification Using Big Transfer(BiT)

Yoga Posture Image Classification Using Big Transfer(BiT)

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2024 ieee international conference on computing, applications and systems, COMPAS 2024

作者： Rahman Fuad, K.M Nafiur Rozario, Uland Shoaib, Hashibul Ahsan Moushumi Khatun, Mst. Islam, Md Raisul Mridha, M.F. Shin, Jungpil Bangladesh University of Business and Technology Dept. of Computer Science and Engineering Dhaka Bangladesh Information Technology St. Francis College BrooklynNY11201 United States Western Illinois University IL United States American International University - Bangladesh Dhaka Bangladesh The University of Aizu School of Computer Science and Engineering Aizuwakamatsu Japan

ISBN: (纸本)9798331529765

Yoga, celebrated for its holistic well-being approach, has become widely popular, providing both physical and mental benefits. Integrating technology, particularly deep learning models for yoga posture classification, has introduced innovative avenues for improved learning experiences. This paper explores the application of the cutting-edge Big Transfer model to classify yoga posture images. BiT, recognized for its exceptional performance in visual recognition tasks, leverages pre-trained representations to achieve high accuracy, even with limited data. This study involves an extensive dataset encompassing diverse yoga postures and *** research uses fine-tuned BiT model on this dataset and rigorously evaluate its performance. The results underscore BiT's effectiveness in accurately identifying yoga postures, making it a valuable tool for automating posture assessment and providing real-time feedback during yoga sessions. Furthermore, the potential transformative applications of this technology in remote yoga instruction and telehealth is discussed. Automatic classification of yoga postures enhances personalized guidance and broadens access to yoga instruction. In conclusion, this paper presents a novel approach to yoga posture image classification using Big Transfer Model, with great results of 80.00% & 98.83% training accuracy & 69.14% & 95.69% validation accuracy in provided datasets *** has the potential to revolutionize how practitioners learn and instructors teach yoga in the digital age. This research bridges the gap between technology and tradition, enhancing the practice of this ancient art. © 2024 ieee.

关键词： Image classification

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embedded System For Chronic Disease Patient Monitoring Using Iot

Embedded System For Chronic Disease Patient Monitoring Using...

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2023 international conference on Data Science and Network Security, ICDSNS 2023

作者： Kiran Parameshahcari, B.D. Sunil Kumar, D.S. Vidyavardhaka College of Enginerring Department of Ece Mysuru India Nitte Meenakshi Institute of Technology Department of Ece Bengaluru India Administrative Management College Department of Mca Bengaluru India

ISBN: (纸本)9798350301595

Innovative applications including smart cities, smart homes, education, healthcare, transportation, and defense operations all depend on the Internet of Things (IoT). IoT applications are very helpful for the delivery of healthcare since they allow for safe and real-time remote patient monitoring enhancing people's lives. The goal of this study is to create an embedded system for tracking patients with chronic diseases that require regular checkups. This embedded system uses a Raspberry Pi 4b to gather data from several sensors installed in patients' bodies, and their data is constantly saved, analyzed and processed to extract vital details about their health and transfer it safely with the help of security encryption to the IoT cloud where it is organized into an interface making it easier to use and understand, which allows users like doctors to easily access patients' data and observing their health state from any place in the world. To enhance the functionality of the system, a warning system has been integrated into the IoT platform, which warns the doctor when the patient enters an abnormal state. A notification is also delivered to the doctor's mobile device if any parameter's value exceeds the cutoff. Because of this, IOT-based real-time health monitoring systems meticulously check patient health and, when necessary, save lives. © 2023 ieee.

关键词： Internet of things

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2nd international conference on Advances in VLSI and embedded systems, AVES 2021

2nd International Conference on Advances in VLSI and Embedde...

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2nd international conference on Advances in VLSI and embedded systems, AVES 2021

ISBN: (纸本)9789811967795

The proceedings contain 22 papers. The special focus in this conference is on Advances in VLSI and embedded systems. The topics include: Pneumatic Calibrator for Heterodyne Interferometer;real-time Object Detection and Recognition for the Visually Impaired: A YOLOv3 Approach;Design of an Autonomous Agriculture Robot for real-time Weed Detection Using CNN;Design and Implementation of IoT-Based System for Tracking and Monitoring of Suspected COVID-19 Patient;Ambipolarity Property in Tunnel FET to Sense High Bit Rate Signals;assessing Effect of Variability in Nano-Scale Futuristic On-Chip Interconnects;Impact of Channel Parameters on the Performance of Dielectrically Modulated JL-DG-MOSFET Biosensor;Design of a TFET-Based Temperature Invariant LDO Voltage Regulator;a Heuristic Algorithm for Module Placement in Digital Microfluidic Biochips;design of Low Power Modular (x mod p) Reduction Unit Based on Switching Activity for Data Security applications;A Comprehensive Analysis in Recent Advances in 3D VLSI Floorplan Representations;radiation Sensor Design for Mitigation of Total Ionizing Dose Effects;Adaptive Memetic Algorithm on Novel CBLSP Algorithm for O-Tree Implementation;Systematic Analysis of Linearization Techniques for Wideband RF Low-Noise Amplifier;Analysis and Modification of Low Power and High Speed 9T SRAM Cell;Investigating the Impact of Schmitt Trigger on SRAM Cells at 32 nm Technology Node for Low Voltage applications;novel Approximate 4:2 Compressor for Multiplier Design;approximate computing-Based Unsigned Multipliers for Image Processing applications;a Feed-Forward Gain Enhancement Technique in a Narrow-Band Low Noise Amplifier Using Active Inductor;A Fully On-Chip Tunable Impedance Matching Strategy for Maximum Power Transfer in RF Energy Harvesting systems.

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Probabilistic analysis of context caching in Internet of Things applications

Probabilistic analysis of context caching in Internet of Thi...

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ieee international conference on Services computing (ieee SCC)

作者： Khargharia, H. S. Jayaraman, P. P. Banerjee, A. Zaslavsky, A. Hassani, A. Abken, A. Kumar, A. Swinburne Univ Technol Sch Sci Comp & Engn Technol Melbourne Vic Australia Deakin Univ Sch Info Technol Melbourne Vic Australia Indian Inst Technol Hyderabad Dept Elect Engn Sangareddy India

ISBN: (数字)9781665481465

ISBN: (纸本)9781665481465

Context caching plays an increasingly important role in delivering near real-time responses for context-aware distributed Internet of Things (IoT) applications, services and systems. A context management platform (CMP), a middle-ware which acts as an aggregator and redirector of contextual information to support smart IoT applications, requires adaptive context caching to process and manage enormous amounts of context stemming from IoT. In this work, we propose a novel approach to estimating the context information's demand probability, which helps improve the context retrieval performance of a CMP under near real-time constraints. The proposed approach uses context query logs and applies machine learning algorithms to estimate the context caching probability for context caching. We further use an evolutionary technique for optimising the context caching probability to improve the context retrieval performance of the CMP. We conduct an experimental evaluation using a research prototype CMP, Context-as-a-Service (CoaaS) and show that the proposed technique can significantly improve the context retrieval performance. Analysis of the experimental results showed with context caching probability optimized by evolutionary technique there is an average percentage decrease of 43.68% in the response time of CoaaS.

关键词： context aware context caching context management platform

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Sensor Data Transforming into real-time Healthcare Evaluation: A Review of Internet of Things Healthcare Monitoring applications

Sensor Data Transforming into Real-Time Healthcare Evaluatio...

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2023 ieee international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, ICIITCEE 2023

作者： Sundas, Amit Badotra, Sumit Singh, Gurpreet Lovely Professional University Department of Computer Science and Engineering Punjab Phagwara India

ISBN: (纸本)9781665462631

As the world population ages and the frequency of chronic diseases grows, it will become more crucial to discover effective healthcare solutions to guarantee that people may live healthy, productive lives. The possibility of deploying Internet of Things (IoT)-based remote health surveillance devices has gained considerable attention. This concept has the potential to improve homecare for those with chronic diseases and the elderly, while cutting healthcare costs and lessening the pressure on hospital systems. This study analyses the potential of Internet of Things (IoT) applications in healthcare settings and provides an IoT Tiered Architecture (IoTTA) for transforming sensor output data into direct clinical input. This strategy takes into consideration several activities, including sensing, transmitting, processing, storing, mining, and learning. In IoT healthcare application development, this strategy may be used to give efficient and useful solutions. Data mining, self-care, and machine learning are the fastest-growing subfields of IoT applications in healthcare, according to the report. © 2023 ieee.

关键词： Internet of things

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Construction of embedded Platform real-time Target Tracking System Based on Changing Ant Colony Algorithm

Construction of Embedded Platform Real-Time Target Tracking ...

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2023 international conference on Data Science and Network Security, ICDSNS 2023

作者： Liu, Ran School of Road Bridge and Architecture Chongqing Vocational College of Transportation Chongqing Chongqing China

ISBN: (纸本)9798350301595

A real-time object tracking system based on traditional ant colony algorithm is a typical optimization model, which improves on existing ant colony algorithms and achieves object tracking. In order to better achieve real-time tracking of projects, it is necessary to establish an embedded platform based on improved ant colony algorithm. This article mainly uses algorithm analysis and experimental data comparison to analyze the relevant performance of ant colony algorithm and its improved algorithms in real-time target tracking systems. Experimental data shows that under particle filtering technology, the improved ant colony algorithm can achieve better response time by controlling the reaction time to within 4 seconds. © 2023 ieee.

关键词： Clutter (information theory)

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Privacy and Security Concerns in Edge-Cloud systems: An In-Depth Analysis 3

Privacy and Security Concerns in Edge-Cloud Systems: An In-D...

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Kaki, Samuel Suhas Kantareddygari, Jagadeswara Reddy Aishwarya, R. School of Computing Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9798331527549

Edge-Cloud systems provide efficient computation and storage close to data sources, with lower latency, scalability, and application performance for various applications, such as IoT, autonomous vehicles, and real-time analytics. These systems are highly vulnerable to significant security and privacy challenges, which include the following: data confidentiality and integrity in the process of transmission, secure protection of sensitive data stored on the edge against physical and remote attacks, and maintaining availability under dynamic network conditions. More challenges related to ensuring users' private nature through anonymizing data, obtaining consent for all processes involved, and compliance with specific regulations like GDPR and CCPA. This work incorporates more enhanced cryptographic methods in the transfer of data between heterogeneous systems and environment-based anomaly detection, advanced privacy-preserving analytics to avoid extraction of private data, adaptive control mechanisms in place for Edge-Cloud for minimizing vulnerability with enhanced trust along with the maintenance of data integrity. The key benefits would be robust mitigation of threats, better interoperability between edge and cloud platforms, and alignment with evolving security standards, which promotes wider adoption across various sectors. © 2025 ieee.

关键词： Cloud platforms

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