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Prospectivity Mapping of Minerals Based on PRISMA Shortwave Infrared Imaging sensor and Machine Learning in the Bhilwara District, India 8th

Prospectivity Mapping of Minerals Based on PRISMA Shortwave ...

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8th international conference on Intelligent technologies, ICIT 2023

作者： Agrawal, Neelam Govil, Himanshu Mishra, Gaurav Janghel, Rekh Ram Department of Computer Applications National Institute of Technology Raipur Raipur India Department of Applied Geology National Institute of Technology Raipur Raipur India Department of Information Technology National Institute of Technology Raipur Raipur India

ISBN: (纸本)9789819738588

Spaceborne satellite images offer consistent and frequent information about surface objects, which can be utilized to explore mineral resources over a vast geographical area. To map valuable mineral resources, narrowband hyperspectral images are more efficient and accurate than broadband multispectral images. Moreover, machine learning (ML) has received remarkable attention in various fields. The spaceborne hyperspectral remote sensing and ML can improve and automate the mineral prospectivity mapping process. The present study is an attempt to map the prospectivity of hydrothermally altered and weathered minerals using a hyperspectral image captured by the recently launched PRISMA spaceborne hyperspectral sensor and various ML algorithms. The study was performed over the area of Jahazpur, Bhilwara district, India (75° 06′ 23.17′′ E, 25° 25′ 23.37′′ N). To generate the mineral distribution map for various mineral deposits, the Spectral Angle Mapper (SAM) algorithm was employed. The prepared dataset contained 173 spectral features;therefore, principal component analysis (PCA) was applied to reduce the dimension of the dataset. The generated mineral distribution map was verified through the validation survey in the study area. Various supervised classification models were developed, which were evaluated using the measures such as overall accuracy, precision, recall, F1-score, and kappa coefficient. The results revealed that the SVM model outperformed among all the classification models in terms of all the measures and it achieves overall accuracy of 99.38%. In general, the employed PRISMA hyperspectral dataset has good application prospects in the mapping of hydrothermally altered and weathered minerals using machine learning in a mountainous area. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Mineral exploration

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A Wearable Backscattering Modulator and RF Energy Harvester for UHF RFID applications 29

A Wearable Backscattering Modulator and RF Energy Harvester ...

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29th IEEE international conference on Electronics, Circuits and Systems (IEEE ICECS)

作者： Ullah, Irfan Wagih, Mahmoud Beeby, Steve Univ Southampton Sch Elect & Comp Sci Southampton Hants England Univ Glasgow James Watt Sch Engn Glasgow Lanark Scotland

ISBN: (数字)9781665488235

ISBN: (纸本)9781665488235

To enable remote, battery-free, and wearable healthcare, ultra-low-power and highly-efficient energy harvesting and communication front-ends are required. This paper presents the design and implementation of a wearable backscattering modulator and RF energy harvester for UHF RFID applications, which represents the first textile-based RFID modulator. The measured performance of the modulator is characterized using s-parameters and is shown successfully communicating with a commercial RFID reader using a textile antenna, suitable for integration in a fabric bandage. The rectifier's efficiency is also presented, in presence of the modulator, showing a high RF to DC efficiency exceeding 50%. This work lays the foundation for UHF RFID-powered smart bandages for next generation healthcare applications.

关键词： UHF RIFD sensor wearable backscattering modulator RF energy harvester RF energy wearable sensors WISP 5

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international conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems, VSPICE 2023

International Conference on VLSI, Signal Processing, Power E...

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international conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems, VSPICE 2023

ISBN: (纸本)9789819746569

The proceedings contain 35 papers. The special focus in this conference is on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems. The topics include: sensor Perception Reliability in Automated Vehicles;design and Implementation of 16-Bit Posit Arithmetic;emergence, Evolution, and applications of Medical Cyber-Physical Systems;smart Insole Design for Foot Pressure Monitoring;an Efficient Cryptographic Technique to Improve Data Privacy and Security in E-Commerce;an Iot-Based Transmission Line Fault Monitoring System;performance Analysis of the System of IoT Architecture;real-Time Implementation of IoT-Based Home Automation System on Arduino Platform;Data Security Paradigms: Paillier Homomorphic Encryption and AES in the Context of Privacy-Preserving Computation;a Review on Watermarking Techniques of Digital Image;An Improved Pre-charging Strategy for Asymmetrical Mixed-Cell Submodule (SM) Based Modular Multilevel Converter;classification of Remotely Sensed Data Using Fisher’s Linear Discriminant;design of Smart Wheelchair for Disabilities with Quadriplegia Through Brain–Computer Interface;Automatic Load Distribution of Power During Low Power Generation Using PLC;AI-driven Lung Cancer Detection for Rapid Analysis of Medical Imaging Data;comparative Study of Transfer Learning Models for Mushroom Classification;automated Software Defect Prediction Model: AdaBoost-Based Support Vector Machine Approach;Preprocessing of MRI Data for the Early Detection of Alzheimer’s Disease Using DWT;classification of Soybean Seed Using Support Vector Machine with Image Enhancement Techniques;From Deployment to Drift: A Comprehensive Approach to ML Model Monitoring with Evidently AI;a Real-Time Computer Vision-Based Green Intensity Estimation Method for the Arecanut Tree Pesticide Spraying System;key Enabling technologies for Next-Generation Wireless Systems.

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Precise Indoor Positioning System for Mobile Robots via Smoothed UWB/IMU sensor Fusion 13

Precise Indoor Positioning System for Mobile Robots via Smoo...

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13th international conference on Indoor Positioning and Indoor Navigation, IPIN 2023

作者： Elsanhoury, Mahmoud Nieminen, Jyri Valisuo, Petri Siemuri, Akpojoto Koljonen, Janne Elmusrati, Mohammed Kuusniemi, Heidi University of Vaasa Digital Economy Platform Vaasa Finland University of Vaasa Vebic Platform Digital Economy Platform Vaasa Finland University of Vaasa School of Technology and Innovations Digital Economy Platform Vaasa Finland University of Vaasa School of Technology and Innovations Vaasa Finland University of Vaasa Digital Economy Platform School of Technology and Innovations Vaasa Finland

ISBN: (纸本)9798350320114

Indoor positioning systems (IPSs) are the foundations for all indoor location-based services and applications. In this article, we present a precise and robust IPS using ultra wide-band (UWB) technology fused with an inertial measurement unit (IMU). Both technologies are integrated to account for the non-line-of-sight (NLOS) problems arising in a dense challenging environment found within an industrial laboratory in Finland. Besides the conventional estimation techniques e.g. extended Kalman filter (EKF), we employ the Rauch-Tung-Striebel (RTS) smoothing algorithm in addition to a multivariate regression-based offset compensation method to improve the overall positioning accuracy of the system. The recommended number of distributed UWB anchors versus the coverage area is also discussed and tested in this article. The experiments were held by a patrolling mobile robot with millimeter accuracy, which acted as a ground truth reference to all used algorithms. The positioning estimation results showed a superior performance by the proposed method (UWB/IMU EKF-RTS-LR) with mean accuracy of 4.7 cm, and 9.6 cm for more than 95% of the time. © 2023 IEEE.

关键词： indoor positioning system (IPS) inertial motion unit (IMU) mobile robots sensor fusion ultra-wideband (UWB)

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A flow-based formulation for the multi-sink clustered WSN

A flow-based formulation for the multi-sink clustered WSN

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international conference on Control, Decision and Information technologies (CoDIT)

作者： Thiago G. Araujo Rafael C. Andrade Andréa Cynthia Santos Laboratoire d’Informatique du Traitement de l’Information et des Systèmes Université Le Havre Normandie ISEL Le Havre France Departamento de Estatística e Matemática Aplicada Universidade Federal do Ceará Fortaleza Ceará Brazil

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

In this study, the problem of designing a multi-sink clustered Wireless sensor Network (WSN) is considered. WSNs are central to the Internet of Things (IoT), and an extensive range of applications has emerged. WSN applications demand prolonged unattended operation. As sensor nodes have limited battery capacity, maximizing network lifespan is challenging. In this article, we investigate the hierarchical clustering to save energy, assigning distinct roles (master, bridge, or slave nodes) to sensors. We propose a mixed integer programming flow-based formulation with arc-sink assignment variables. In addition, a set of valid inequalities is proposed, either derived from existing literature or adapted versions. Computational experiments are conducted to evaluate the proposed approach, involving up to forty nodes and eight sinks.

关键词： Integer programming Bridges Wireless sensor networks Computational modeling Metaheuristics Forestry Main-secondary Numerical models Internet of Things Information technology

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4th international conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2023

4th International Conference on IoT Based Control Networks a...

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4th international conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2023

ISBN: (纸本)9789819965854

The proceedings contain 52 papers. The special focus in this conference is on IoT Based Control Networks and Intelligent Systems. The topics include: Development of IoT-Based Vehicle Speed Infringement and Alcohol Consumption Detection System;phonocardiogram Identification Using Mel Frequency and Gammatone Cepstral Coefficients and an Ensemble Learning Classifier;Automatic Conversion of Image Design into HTML and CSS;Customizing Arduino LMiC Library Through LEAN and Scrum to Support LoRaWAN v1.1 Specification for Developing IoT Prototypes;prevention of Wormhole Attack Using Mobile Secure Neighbour Discovery Protocol in Wireless sensor Networks;Comparison of Feature Extraction Methods Between MFCC, BFCC, and GFCC with SVM Classifier for Parkinson’s Disease Diagnosis;a Comprehensive Study on Artificial Intelligence-Based Face Recognition technologies;design of IoT-Based Smart Wearable Device for Human Safety;Detection of Artery/Vein in Retinal Images Using CNN and GCN for Diagnosis of Hypertensive Retinopathy;vehicle Information Management System Using Hyperledger Fabric;An Evolutionary Optimization Based on Clustering Algorithm to Enhance VANET Communication Services;visual Sentiment Analysis: An Analysis of Emotions in Video and Audio;design and Functional Implementation of Green Data Center;patient Pulse Rate and Oxygen Level Monitoring System Using IoT;ioT-Based Solution for Monitoring Gas Emission in Sewage Treatment Plant to Prevent Human Health Hazards;Evaluation of the Capabilities of LDPC Codes for Network applications in the 802.11ax Standard;parallel Optimization Technique to Improve the Performance of Lightweight Intrusion Detection Systems;Enhancement in Securing Open Source SDN Controller Against DDoS Attack;proposal of a General Model for Creation of Anomaly Detection Systems in IoT Infrastructures;green IoT-Based Automated Door Hydroponics Farming System.

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19th international conference on Computers Helping People with Special Needs, ICCHP 2024

19th International Conference on Computers Helping People wi...

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19th international conference on Computers Helping People with Special Needs, ICCHP 2024

ISBN: (纸本)9783031628450

The proceedings contain 116 papers. The special focus in this conference is on Computers Helping People with Special Needs. The topics include: Perception of Environmental Sound by Young Deaf and Hard-of-Hearing People: Listening at Different Noise Levels;using a Novel Conversational Method for Measuring Comprehension of D/HoH Viewers Consuming Captioning Content for Entertainment Purposes;NERWEB: User-Friendly Software for Caption Quality Assessment Using the NER Model;closed Sign Language Interpreting: A Usability Study;customization of Closed Captions via Large Language Models;designing Pachi: A Verbal Language Learning Application for Children with Hearing Impairment in India;interaction Techniques for Motor-Disabled Users Introduction to the Special Thematic Session;automatic Bars with Single-Switch Scanning for Target Selection;wordGlass: Additional Keys to Present the Most Likely Words;development and Evaluation of a Low-Cost, High-Precision sensor System for Mouth-Operated Joysticks;augmentative and Alternative Communication Innovations in Products and Services: Introduction to the Special Thematic Session;Developing a Web-Based Platform for Forming Language Capability Assessment for AAC Users;Perceived Impact of Person-Centred Technology-Based AAC for Adults with ASD;AsTeRICS Grid: Why Freely Accessible Software is Needed for Democratizing AAC in the Long Term;A Location and Situation-Based AAC Web Service with Automatic Synchronization of Individual Mobile applications;An AAC Application for Generating Japanese Response Phrases Using GPT-4;symbol Builder for Autocreation of Images for Alternative and Augmentative Communication;Towards Adaptive Multi-modal Augmentative and Alternative Communication for Children with CP;cognitive Disabilities and Accessibility: Introduction to the Special Thematic Session;designing Self-management for and with Persons Living with Dementia;creative technologies in Action: Empowering Individuals with Intellectual Disabilities;

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Effects of Jamming Attack on the Internet of Things 4th

Effects of Jamming Attack on the Internet of Things

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4th international conference on Networks, Intelligent Systems and Security (NISS)

作者： Kerrakchou, Imane Chadli, Sara Saber, Mohammed Belkasmi, Mohammed Ghaouth Mohammed First Univ Oujda SmartICT Lab ENSA Oujda Oujda Morocco

ISBN: (纸本)9789811636370;9789811636363

The capacity of the Internet to be connected to everything, everywhere, and at every time, thus offering great ease to users, has gained popularity over the years. The automation of daily tasks is no longer a dream. The Internet of things has reached a peak, where a wealth of gadgets and applications are successfully connecting to sensors and the Internet, offering a new age of relief and communications. The heterogeneous combination of sensors, things, and the Internet together has resulted in a variety of protection and privacy problems, making security difficult. Since IoT is used for commercial purposes, it has paved the way for attackers and hackers to enter the private lives of the public at large, as well as to organizing crimes and attacks. In this paper, we focus on wireless sensor networks (WSN) because malicious nodes easily attack these networks. We perform an implementation of the Jamming attack and a detailed analysis of the results obtained. The protocol chosen to evaluate the performance of the WSN is the S-MAC protocol. Different scenarios are proposed in order to evaluate the performance of an attacked network and the severity of the Jamming attack.

关键词： Attack DoS Internet of things (IoT) Jamming S-MAC Wireless sensor network (WSN)

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The Future of Real-Time Remote Monitoring: The Role of Low-Cost IoT sensor Systems

The Future of Real-Time Remote Monitoring: The Role of Low-C...

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international conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)

作者： Ratna Chakrabarty Rajarshi Karmakar Niloy Kumar Das Shitanshu Shivam Indrajit Mondal Institute of Engineering & Management Kolkata India

Low-cost IoT sensor systems and real-time remote monitoring are rapidly evolving technologies with immense potential for various applications. This paper explores the design, features, and benefits of low-cost IoT sensor systems, emphasizing real-time remote monitoring’s significance and challenges. The integration of these technologies provides cost-effective, high-quality, real-time data for various applications. While offering numerous benefits, this integration faces challenges like reliable data transmission, data volume management, and sensor reliability. Advancements in encryption, cloud computing, and sensor technology address these challenges. Emerging trends like sensor miniaturization, AI/ML integration, and wearables integration present further research opportunities. In conclusion, the integration of low-cost IoT sensor systems with real-time remote monitoring holds significant potential across various sectors, demanding ongoing research and development to fully realize its benefits.

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From sensor Data to Smart Decisions with an Integrated Framework for Next-Generation Farming Systems

From Sensor Data to Smart Decisions with an Integrated Frame...

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Technological Advancements in Computational Sciences (ICTACS), international conference on

作者： Pinki Sagar Danish Ather Raj Kumar Sonia Duggal Ibrohimbek Yusupov Vishal Jain G.L. Bajaj Institute of Technology and Management Greater Noida India Department of IT and Engineering Amity University Tashkent Uzbekistan Department of Computer Applications Manav Rachna International Institute of Research and Studies (Deemed to be University) Faridabad India Department of Artificial Intelligence Tashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizm Tashkent Uzbekistan Department of Computer Science and Engineering Sharda School of Engineering and Technology Sharda University Greater Noida India

ISBN: (数字)9798350387490

ISBN: (纸本)9798350387506

The advancements of internet of things sensors, artificial intelligence data analytics, and big data technologies have shifted Agriculture making new possibilities of productivity, sustainability, and decision making. They envisage an integrated system of these technologies that enhance the transformation of raw sensor data into usable information for next generation farming systems proposed in this paper. To increase efficiency, the framework is designed to bridge the existing gap between collecting data and applying it and the general concept will help to address the current challenges faced in post and present day farming.

关键词： Productivity Decision making Big Data Agriculture sensor systems Artificial intelligence Sustainable development Intelligent sensors Next generation networking Farming

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