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Physiological Signal Based Blood Glucose Prediction in Diabetics and Non-Diabetics

Physiological Signal Based Blood Glucose Prediction in Diabe...

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International conference on e-health Networking, applications and Services (HealthCom)

作者： Thilini Savindya Karunarathna Zilu Liang Ubiquitous and Personal Computing Lab Kyoto University of Advanced Science Kyoto Japan

ISBN: (数字)9798350350548

ISBN: (纸本)9798350350555

Effective blood glucose regulation is essential for both diabetic and non-diabetic individuals. Finger-prick methods are inconvenient and painful, while continuous glucose monitoring (CGM) systems are costly and require frequent sensor replacements. This paper proposes an innovative approach for continuous real-time blood glucose level estimation using non-invasive physiological signals and ensemble regression techniques. We observed significant differences in the predictive power of individual features and overall model performance between the diabetic and the non-diabetic groups. The best model for the diabetic group achieved better performance (R 2 = 0.50) compared to the best model for the non-diabetic group (R 2 = 0.27). However, when evaluated for clinical accuracy, the non-diabetic models outperformed the diabetic models. The best non -diabetic model had 100% of predictions in the clinically acceptable zones of the Clarke Error Grids (CEG), while the best diabetic model had only 91%. The between-group differences in model performance are likely due to the variations in underlying glucose dynamics between diabetic and non-diabetic individuals. Our findings highlight the necessity of collecting and sharing large multimodal datasets from both diabetic and non-diabetic populations, as well as evaluating glucose prediction models from both mathematical and clinical accuracy.

关键词： Accuracy Estimation Predictive models Mathematical models Regulation Real-time systems Diabetes Glucose Blood Monitoring

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Design and Implementation of Multi -Mobility Modular Robot for Surveillance applications

Design and Implementation of Multi -Mobility Modular Robot f...

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Data, Computation and Communication (ICDCC), International conference on

作者： Navaneeth Bhaskar Prithviraj N Nambiar Athul Krishna K P Gagan A Rai Shashank H R Chandra Singh Department of ECE Sahyadri College of Engineering and Management Mangalore India Department of ECE Nitte (Deemed to be University) Karkala India

ISBN: (数字)9798331532956

ISBN: (纸本)9798331532963

The application of robotic-drones in search and rescue operations, as well as supply delivery, often requires the integration of multiple robots, each optimized for specific tasks. These robotic drones must navigate challenging terrains, locate individuals, and relay real-time data. A key challenge lies in efficiently coordinating different types of drones while ensuring reliability during critical missions. In this work, we propose the development of a multi-mobility modular robot, a versatile robotic platform capable of switching locomotion modes to adapt to various environments. Powered by the AMD KR260 processor, this advanced robot is equipped with morphing appendages that enable it to fly, roll, crawl, and climb, allowing seamless transitions between modes. This makes the robot suitable for tasks such as search and rescue, healthcare delivery to remote areas, and environmental monitoring in rugged terrains. The AMD KR260 processor provides the computational power necessary for real-time sensor data processing, control algorithms, and mode transitions without delay. The operator interface allows intuitive control over the robot and easy selection of operational modes. Extensive field testing has been conducted to validate the performance of the proposed modular robot in real-world scenarios.

关键词： Navigation Robot kinematics Surveillance Switches Robot sensing systems Real-time systems Stability analysis Mobile robots Thermal stability Drones

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Development of Autonomous Mobile Robot Based IoTs Integration for Surveillance Guard

Development of Autonomous Mobile Robot Based IoTs Integratio...

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Student conference on Research and Development (SCOReD)

作者： Muhamad Syazmie Sepeeh Subaschandran A-L Nagarajan Miriam Elena Ondo Nguba Hanis Farhah Jamahori Shamsul Aizam Zulkifli Ronald Jackson Department of Electrical and Electronic Engineering Malaysian Allied Health Sciences Academy (MAHSA) University Jenjarom Selangor Malaysia Department of Electrical Power Engineering Universiti Tun Hussein Onn Malaysia (UTHM) Batu Pahat Johor Malaysia School of Engineering INTI International College Penang Bayan Lepas Pulau Pinang Malaysia

ISBN: (数字)9798331510077

ISBN: (纸本)9798331510084

This paper presents the development of an autonomous mobile robot designed for surveillance and security applications. The proposed robot integrates advanced sensors, real-time data processing, and autonomous navigation capabilities to perform patrol and monitoring tasks in predefined areas without human intervention. Key features include obstacle avoidance, intelligent path planning, real-time video surveillance, and object detection using computer vision techniques. The robot is equipped with a multi-sensor system comprising motion sensors, cameras, and ultrasonic sensors to ensure accurate environmental perception and adaptability to dynamic environments. Performance tests demonstrate its ability to perform continuous surveillance, detect anomalies, and alert security personnel via wireless communication. The system’s modular design allows for scalability and customization for different security scenarios, enhancing its potential use in industrial, commercial, and public spaces. This development represents a significant step toward increasing efficiency and reliability in autonomous security solutions.

关键词： Robot vision systems Cameras Real-time systems Motion detection Security Mobile robots Reliability Personnel Intelligent sensors Autonomous robots

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Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation

Leveraging GNSS and Onboard Visual Data from Consumer Vehicl...

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IEEE/RSJ International conference on Intelligent Robots and systems (IROS)

作者： Balázs Opra Betty Le Dem Jeffrey M. Walls Dimitar Lukarski Cyrill Stachniss Woven by Toyota Inc University of Bonn Germany Center for Robotics University of Bonn Lamarr Institute for Machine Learning and Artificial Intelligence Germany

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Maps are essential for diverse applications, such as vehicle navigation and autonomous robotics. Both require spatial models for effective route planning and localization. This paper addresses the challenge of road graph construction for autonomous vehicles. Despite recent advances, creating a road graph remains labor-intensive and has yet to achieve full automation. The goal of this paper is to generate such graphs automatically and accurately. Modern cars are equipped with onboard sensors used for today's advanced driver assistance systems like lane keeping. We propose using global navigation satellite system (GNSS) traces and basic image data acquired from these standard sensors in consumer vehicles to estimate road-level maps with minimal effort. We exploit the spatial information in the data by framing the problem as a road centerline semantic segmentation task using a convolutional neural network. We also utilize the data’s time series nature to refine the neural network’s output by using map matching. We implemented and evaluated our method using a fleet of real consumer vehicles, only using the deployed onboard sensors. Our evaluation demonstrates that our approach not only matches existing methods on simpler road configurations but also significantly outperforms them on more complex road geometries and topologies. This work received the 2023 Woven by Toyota Invention Award.

关键词： Global navigation satellite system Technological innovation Visualization Accuracy Roads Weaving sensor systems sensors Automobiles Vehicles

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Polarization Independent Interconnected Split-Ring Resonator with Enclosed F Shape Metamaterial Absorber for Wireless Technology.

Polarization Independent Interconnected Split-Ring Resonator...

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International conference on Electromagnetics in advanced applications (ICEAA)

作者： Mohammed Faysal Mohammad Tariqul Islam Md Kutub Uddin Mohammad Lutful Hakim Badariah Bais Kamarulzaman Mat Ali F. Almutairi Electronic and Telecommunication Engineering (ETE) International Islamic University Chittagong (IIUC) Chittagong Bangladesh Department of Electrical Electronic and Systems Engineering Center of Advance Electronic and Communication Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia UKM Bangi Selangor Malaysia Pusat Sains Angkasa (ANGKASA) Institut Perubahan Iklim Universiti Kebangsaan Malaysia UKM Bangi Selangor Malaysia Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia UKM Bangi Selangor Malaysia Electrical Engineering Department Kuwait University Kuwait City Kuwait

ISBN: (数字)9798350360974

ISBN: (纸本)9798350360981

In this article, a polarization-insensitive, flexible and ultrathin metamaterial absorber (MMA) has been presented with six absorption peaks in S-band, C-band, X-band, and Ku-band. The proposed absorbers’ geometry consists of $90^{0}$ rotated and connected four outer square split rings. Each outer split ring consists of rotationally symmetric two split square rings and a circular split ring. Each outer ring has a F shape in the core of the middle. FR-4, a generally accessible, low-cost substrate material with a dielectric constant of 4.3, was used to create the MMA unit cell. The unit cell size is $10 \times 10 \mathrm{~mm}^{2}$. The absorption peaks of this absorber greater than $90 \%$ at $3.088,4.77,9.88,11.23$, $13.34,17.39$, and 18.23 GHz, respectively. The suggested absorber is insensitive to polarization and incidence angle since it is symmetrical. The proposed structure shows steady absorption over azimuth and elevation angles, specifically phi=0 to 90 degrees and Theta $=0$ to $\mathbf{6 0}$ degrees, and its refractive index is almost zero or negative. The absorber unit cell has a tiny and compact design, measuring $0.12 \lambda \times 0.12 \lambda$ in size and with an extremely thin thickness of $0.016 \lambda$. Here, $\lambda$ represents the wavelength at the absorption peak with the lowest frequency. The absorption phenomena of the absorber have been proved by analyzing the input impedance, E-field, and surface current distribution characteristics.

关键词： Geometry Wireless communication Wireless sensor networks Absorption Shape C-band Wavelength measurement Resonant frequency Metamaterials Thickness measurement

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An Energy-Efficient Wireless sensor Networks Approach based on ADV-LEACH2 Clustering Protocols for Heterogeneous and Homogeneous 5

An Energy-Efficient Wireless Sensor Networks Approach based ...

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5th International conference on Information systems and Computer Networks, ISCON 2021

作者： Kumar, Nitin Kumar, Vinod Verma, Pawan Kumar Department of Electronics and Communication Engineering SRM Institute of Science and Technology NCR Campus Delhi-NCR Campus Delhi-Meerut Road Modinagar UP Ghaziabad India Department of Electronics and Communication Engineering Dr. B. R. Ambedkar National Institute of Technology PB Jalandhar India

ISBN: (纸本)9781665403412

This paper describes the architecture of homogeneous and heterogeneous wireless sensor networks (WSN), as well as their applications. To extend the lifespan of WSNs, the energy-efficient dynamic topology approach was developed. The effectiveness of a novel dynamic modified probability-based approach for extending network lifetime by locating the most energy-efficient cluster head (CH) nodes. The proposed method demonstrates the differences in performance between homogeneous and heterogeneous WSN. The mathematical modelling, simulation implementation, and results generation achieved by using MATLAB-2017b. The comparative results analysis of the proposed work is presented in terms of network lifetime based on FND and LND, energy consumption, alive/dead sensor nodes (SNs). The ADV-LEACH2 (HETRO) outperforms the ADV-LEACH2 (HOMO) because of the existence of advanced SNs with higher energy levels in the WSN. By 16.5 percent, the ADV-LEACH2 (HETRO) method outperformed ADV-LEACH1 (HETRO). ADV-LEACH2 (HETRO) approach performed 16.5% better than ADV-LEACH1 (HETRO). © 2021 IEEE.

关键词： sensor nodes

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Exploring UUV Development with NauSim: An Open-Source Simulation Platform

Exploring UUV Development with NauSim: An Open-Source Simula...

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Wireless and Optical Technologies (GCWOT), 2020 Global conference on

作者： César Antonio Ortiz-Toro Cristina Cerrada-Collado David Moreno-Salinas Dictino Chaos-García Karen Lyn García-Suárez Pablo Otero-Roth Juan Manuel Vidal-Pérez Miguel Ángel Luque-Nieto Ana Isabel Vázquez José Jesús Fraile-Ardanuy Vicente Negro-Valdecantos Eugenio Jiménez-Yguacel Joaquín Aranda-Almansa Santiago Zazo-Bello Pedro J. Zufiria Luis Magdalena-Layos Juan Parras-Moral Alvaro Gutiérrez Escuela Técnica Superior de Ingenieros de Telecomunicación UPM Madrid Spain Departamento de Ciencias de la Computación y Control Automático UNED Madrid Spain I. para el Desarrollo Tecnológico y la Innovación en Comunicaciones ULPGC Las Palmas Spain Instituto de Ingeniería Oceánica E.T.S. de Ingenierías de Telecomunicación UMA Málaga Spain Escuela de Ingenierías Marinas Náutica y Radioelectrónica UCA Cádiz Spain Escuela Técnica Superior de ing. de caminos canales y puertos UPM Madrid Spain

ISBN: (数字)9798331534271

ISBN: (纸本)9798331534288

This article introduces NauSim, an open-source simulation tool designed for developing control algorithms for Unmanned Underwater Vehicle (UUVs). NauSim is targeted at researchers and developers in underwater robotics, with a focus on Machine Learning (ML) based applications. The simulation tool is made in Python, acknowledging its prominence in ML research. Key design principles include a clean, flexible and modular architecture which can be integrated easily with existing control paradigms, thus allowing for the configuration of simulations, the creation of new environments and the addition of sensor interfaces and control models. Furthermore, NauSim emphasizes simplicity in deploying control algorithms from the simulator to target hardware. The article presents three use cases that illustrate the diverse applications of the simulator. The first case study is based on swarm robotics, the second showcases the development of advanced sensor simulations, and the third demonstrates the deployment of a controller developed in NauSim in a “real world” scenario.

关键词： Wireless communication Wireless sensor networks Visualization Machine learning algorithms Swarm robotics Machine learning Robot sensing systems Virtual prototyping Usability Testing

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Soft computing algorithms for infrastructure monitoring. Preliminary results of PROION project 9

Soft computing algorithms for infrastructure monitoring. Pre...

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9th International conference on Remote Sensing and Geoinformation of the Environment, RSCy 2023

作者： Nikolakopoulos, Konstantinos Mpelogianni, Vassiliki Groumpos, Peter Kyriou, Aggeliki Ganas, Athanassios Charalampopoulou, Vassiliki Athanasopoulos, Theodoros Department of Geology University of Patras Greece Department of Electrical and Computer Engineering University of Patras Greece National Observatory of Athens Greece Geosystems Hellas SA Greece ES Systems Greece

ISBN: (纸本)9781510668225

Structural health monitoring of civil infrastructures is a complex engineering problem that requires the use of advanced soft computing algorithms. The rapid advances in soft computing have been a step forward in the direction of infrastructure monitoring. The field of computer science has given promising results in monitoring systems when applied along with engineering technologies. In this framework, Artificial Intelligence (AI) Deep and Machine Learning applications, Neural Networks, Fuzzy Logic, Fuzzy Cognitive Maps (FCM), Genetics Algorithms and Hybrid systems are growing exponentially in the field of structural health monitoring, including structural recognition, change detection, crack detection, damage identification, damage quantification and damage prediction. Specifically, some of the above-mentioned more sophisticated infrastructure soft computing monitoring algorithms are utilized to generate strategies and processing pipelines towards structural building damage mapping and assessment. In this paper remote sensing data, acquired by Global Navigation Satellite System (GNSS), Synthetic Aperture Radar (SAR), Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicles (UAV) sensors will be processed and a state-of-theart unified platform imbedding Neural Networks, Fuzzy Cognitive Maps and Hybrid systems in the field of Structural Health Monitoring of civil structures is proposed. © 2023 SPIE.

关键词： Structural health monitoring

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A Study on the Application of Blockchain in Carbon Trading systems

A Study on the Application of Blockchain in Carbon Trading S...

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ACS/IEEE International conference on Computer systems and applications

作者： Lucas Francisco Rodrigo Bonacin Ferrucio De Franco Rosa PMCC UNIFACCAMP São Paulo Brazil CTI Renato Archer UNIFACCAMP Campinas Brazil

ISBN: (纸本)9798350310092

A systematic literature review is presented to understand and analyze the state of the art in Blockchain-based solutions applied to the carbon trading context. The main contributions of the work are twofold: i) updated literature review, emphasizing the contributions of each selected work; ii) classification of the papers based on their main contributions and application domains as well as summarizing and discussing challenges and open research issues. Our results reveal the need for research focusing on understanding the use of advanced technology in complex scenarios of trade and management of carbon credits. This work is intended for researchers who aim to develop methods and techniques that make use of Blockchain technology in the realm of carbon trading.

关键词： Systematics Bibliographies Focusing Emissions trading sensor systems and applications Blockchains Solar panels

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Development of an Expert System for advanced Podiatric Treatments and Ergonomics

Development of an Expert System for Advanced Podiatric Treat...

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International Symposium on advanced Computing and Communication (ISACC)

作者： P Vigneshwaran V Buvanesh Pandian M Radha B Mohan R Santhana Krishnan J Relin Francis Raj Department of Electronics and Communication Engineering P.S.R. Engineering College Sivakasi India Department of Electrical and Electronics Engineering Kalasalingam Academy of Research and Education Krishnankoil India Department of Electronics and Communication Engineering Francis Xavier Engineering College Tirunelveli India Department of Electronics and Communication Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

An expert system tailored for foot pressure analysis and imprint detection, with a focus on enhancing podiatric treatments and ergonomics. The system comprises three key components: a foot pressure analyser, an image processing-based foot imprint analyser, and a machine learning-driven data analyser. The foot pressure analyser employs an array of FSR sensors with piezo resistive material Velostat, accommodating various foot types. The collected data is processed using thermal image algorithms to create foot pressure images. The image processing unit of the system utilizes edge detection techniques to extract relevant features from the foot pressure images, forming a dataset for machine learning. A neural network is trained using this dataset to identify lower limb abnormalities accurately. The expert system encompasses an extensive knowledge base, storing foot anatomy, pressure point norms, common foot conditions, footwear information, and also analyses lower limb extremities like arthritis and synovial accumulations etc., especially helps in geriatric care. The system generates comprehensive reports summarizing the analysis results, facilitating treatment planning for specific applications, age groups, genders, and foot shapes and giving real-time feedback and recommendations based on the Expert’s knowledge to aid in treatment planning, ensuring accessibility and data security. Future developments include 3D printing integration, research support, and machine learning enhancements. The system promises to advance foot health diagnostics and treatments significantly, benefiting healthcare professionals and patients.

关键词： Limbs Shape Medical services Machine learning Footwear Three-dimensional printing Planning Expert systems Foot sensor arrays

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