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A Context-Aware Framework for sensor Placement Using PSO and Voronoi in Dynamic Scenarios

A Context-Aware Framework for Sensor Placement Using PSO and...

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International Symposium on advanced Computing and Communication (ISACC)

作者： Prithwish Manna Sudipta Majumder N. Hemarjit Singh Rajesh Bose Dept. of CSE DUIET Dibrugarh University Dibrugarh Assam India Dept. of ECE DUIET Dibrugarh University Dibrugarh Assam India Dept. of CSE JIS University West Bengal India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

When we deploy sensors, we face severe problems to achieve resilience and robust coverage. It happens more in stochastic and dynamic environments. In this paper, we propose a hybrid framework which is a combination of Particle Swarm Optimization (PSO) and Voronoi Diagram method with context aware adaptation to fix the challenges. The proposed framework balances initial distribution of sensors and iterative optimization to enhance coverage, maintain k-coverage (k=3) and adapt to evolving scenarios even under critical situations like sensor failures. Experimental results highlight the performance of the proposed framework across the key scenarios: comparing coverage with or without context aware optimization quantifying the impact of random node failures, tracking cumulative recovery attempts and evaluating final coverage percentage. The results reveal that this hybrid framework maximizes the coverage and provides resilience to sensor failures. It also reallocates resources dynamically to maintain optimal deployment. This framework is suitable for getting more efficiency and minimal iterations of recovery while enhancing the robustness of the network. It also enlightens the adaptability in sensor performance and becomes very popular in modern applications.

关键词： Context-aware services Fault tolerance Three-dimensional displays Fault tolerant systems Robustness sensors Particle swarm optimization Optimization Resilience Testing

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Real-Time Indoor Target Tracking Using IoT and Wireless sensor Networks

Real-Time Indoor Target Tracking Using IoT and Wireless Sens...

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Sentiment Analysis and Deep Learning (ICSADL), International conference on

作者： Sachin R. Katakwar Kapil K. Jajulwar Surekha Tadas M. Tech Communication Engineering G H Raisoni College of Engineering Nagpur India Department of Electronics and Telecommunication Engineering G H Raisoni College of Engineering Nagpur India

ISBN: (数字)9798331523923

ISBN: (纸本)9798331523930

Indoor target tracking presents significant challenges across various fields such as security surveillance, industrial automation, and healthcare. This research paper outlines the design and implementation of a reliable direction monitoring system aimed at achieving accurate indoor target tracking using IoT and wireless sensor networks. By utilizing advanced sensor technologies and sophisticated data processing algorithms, the proposed system enables real-time monitoring and precise localization of targets within indoor spaces. The combination of IoT devices and wireless sensor networks facilitates effective data collection, analysis, and visualization, thereby improving the overall performance of the monitoring system. The results indicate that the developed system is effective in accurately tracking and localizing targets, fulfilling the essential requirement for efficient indoor direction monitoring solutions. The paper concludes with a discussion on the practical implications and potential applications of this system, emphasizing its importance in enhancing indoor target localization across diverse sectors.

关键词： Location awareness Wireless sensor networks Sentiment analysis Target tracking Accuracy Surveillance Real-time systems Safety Internet of Things Security

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Efficient Mid-Infrared Acousto-Optic Modulation in Silicon Photonic Devices Using Lithium Niobate

Efficient Mid-Infrared Acousto-Optic Modulation in Silicon P...

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IEEE International conference on Micro Electro Mechanical systems

作者： Siyu Xu Weixin Liu Chengkuo Lee Department of Electrical & Computer Engineering National University of Singapore Singapore National Centre for Advanced Integrated Photonics Singapore

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

The acousto-optic interaction in silicon photonics remains underutilized due to the absence of intrinsic piezoelectricity needed for efficient acoustic wave excitation, despite the maturity of silicon in large-scale photonic integrated circuits. In this work, we present a distinctive acousto-optic scheme that complements standard silicon photonics by heterogeneously integrating piezoelectric lithium niobate through micro-transfer printing. Leveraging lithium niobate as an acoustic pump to exploit the superior photoelastic properties of silicon, we demonstrate an optical modulation figure-of-merit of V π L ~ 0.496 V‧cm at a mid-infrared wavelength of ~ 3.8 μm.

关键词： Printing Lithium niobate Piezoelectric materials Piezoelectricity Silicon photonics sensor systems and applications Reliability Piezoelectric devices Optical waveguides Standards

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A Simulation Platform for Intelligent UAV Cybersecurity and Reliability Analysis

A Simulation Platform for Intelligent UAV Cybersecurity and ...

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International conference on Unmanned Aircraft systems (ICUAS)

作者： Boyin Yang Yanyan Li Ryan Callaghan Houbing Song Jiawei Yuan Department of CIS University of Massachusetts Dartmouth Department of CSIS California State University San Marcos Department of Information Systems University of Maryland Baltimore

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

Unmanned aerial vehicles (UAVs) are increasingly adopted in various applications due to their high mobility and advanced sensing capabilities. However, they also face significant security threats and reliability concerns arising from external adversarial attacks and internal system failures. AI and machine learning techniques have shown promise in detecting security threats and anomalies in UAVs, but their effectiveness heavily depends on high-quality UAV security datasets for training. In this paper, we present an open-source simulation platform designed to model diverse UAV security scenarios. Our platform offers flexible customization of attacking effects on major UAV components, including onboard sensors, communication systems, vision modules, and flight control. Additionally, it provides rapid generation and collection of UAV system data under adversarial conditions, facilitating intelligent cybersecurity and reliability analysis. Our experiments successfully simulated over 30 attacking effects toward UAVs, demonstrating our platform's capability to support extensive UAV security research.

关键词： Training Streaming media sensor phenomena and characterization Autonomous aerial vehicles Reliability engineering sensor systems Security Computer security Intelligent sensors Aerospace control

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IoT-Enabled Soft Capacitive Tactile sensors: Characterization Through Linear Regression Analysis

IoT-Enabled Soft Capacitive Tactile Sensors: Characterizatio...

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International conference on Autonomous Robots and Agents, ICARA

作者： Gidugu Lakshmi Srinivas Mathias Brandstötter ADMiRE Research Center Carinthia University of Applied Sciences Villach Austria

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Soft and flexible capacitive tactile sensors have become important tools for precise force measurement in wearable health monitors, soft robotics, and advanced human-machine interaction systems. Their real-time ability to detect and quantify forces opens new boundaries in medical diagnostics, automation safety, and adaptive technologies. This work presents a 4×4 capacitive sensor matrix fabricated using thermoplastic polyurethane (TPU) substrates and nanoparticle-based silver ink, with a 300 μm Ecoflex 30 dielectric layer to ensure high sensitivity and reliability. The matrix integrates passive electromagnetic interference (EMI) shielding to enhance signal integrity while maintaining robust force detection. The system employs a mutual capacitance sensing board (MUCA) for data acquisition and an SHT30 sensor for monitoring environmental parameters like temperature and humidity. Real-time data processing and visualization are achieved via a lightweight Wi-Fi-enabled dashboard hosted on an Arduino Nano 33 IoT microcontroller. This dashboard dynamically displays force distributions, heatmaps, and environmental metrics, offering an intuitive user interface. The sensor matrix demonstrates a force detection range of 1 to 16 N, with a strong linear correlation (R2 = 0.9952) between force and mutual capacitance changes, validated through extensive single and multi-touch testing using a universal manipulator. The system's battery-efficient design enables continuous operation for over 148 hours, making it suitable for remote and autonomous applications. Potential applications span wearable prosthetics, soft robotics, and IoT-driven systems. This work highlights the integration of scalable fabrication, robust signal processing, and real-time visualization to offer a versatile and energy-efficient tactile sensing solution.

关键词： Temperature sensors Force measurement Force Electromagnetic interference Tactile sensors Capacitance Real-time systems Energy efficiency Biomedical monitoring Substrates

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A Novel Multiple Modes Resonant sensor Featuring Blue Sideband Excitation

A Novel Multiple Modes Resonant Sensor Featuring Blue Sideba...

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IEEE International conference on Micro Electro Mechanical systems

作者： Jiao Xu Zhuoyue Zheng Jingqian Xi Ziqian Zhang Huafeng Liu Pan Zhang Jianlin Chen Chen Wang Michael Kraft Yuan Wang R. P. Martins Pui-In Mak MOE Key Laboratory of Fundamental Physical Quantities Measurement PGMF and School of Physics Huazhong University of Science and Technology Wuhan P. R. China Institute of Microelectronics State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau Macau China National Key Laboratory of Advanced Micro and Nano Manufacture Technology School of Integrated Circuits Peking University China School of Microelectronics Shanghai University China Department of Electrical Engineering-MNS KU Leuven Leuven Belgium

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

This paper reports a novel MEMS resonant structure functioning as a baseline resonant electrostatic force/temperature sensor, highlighting its substantial potential in sensing applications. The resonator, characterized by a dual-cosine structure, is capable of simultaneous multiple resonant modes actuation within the 300 kHz range, through a sole-source drive approach using the recent emerging Blue Sideband Excitation (BSE) technique. This method enables a distinctive multi-modal response, essential for multi-parameter measurements. The research focuses on the sensor’s temperature characteristics, electrostatic perturbation sensitivity, and noise floor. Notably, the study reveals intriguing temperature responses across different modes, where certain modes exhibit a significant frequency rise with increasing temperature, this is counter-intuitive with common MEMS resonator devices, prompting further investigation into the underlying mechanisms. The analysis of electrostatic perturbation sensitivity and noise background further unfolds the resonator’s performance under various excitation conditions, laying a foundation for advancing sensor functionality, and providing solid evidence on the viability of the subject. To sum up, this study highlights the resonator’s potential as a high-precision sensor, opening new opportunities for MEMS sensor design and multi-parameter measurement applications.

关键词： Temperature measurement Micromechanical devices Temperature sensors Electric potential Temperature Sensitivity Perturbation methods Noise sensors Electrostatics

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Lora-Enabled System for Smart Farming Management and Oversight, Utilizing Wireless sensor Networks

Lora-Enabled System for Smart Farming Management and Oversig...

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International conference on Communication systems and Network Technologies (CSNT)

作者： J Elumalai K. Kumuthapriya R. Hema P. Sakthi Shunmuga Sundaram Department of Electronics and Communication Engineering S.K.R Engineering College Chennai Department of Electronics and Communication Engineering Tagore Engineering College Chennai Tamil Nadu

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

The purpose of this study is to create a LoRa-based smart farming management and surveillance system. Utilizing Wireless sensor Networks (WSNs) in rural settings, with the aim of replacing the existing technology in agricultural monitoring systems. A dedicated private network server is established and connected to a gateway, which gathers information or signals from the nodes at the end and sends this data to the cloud without the need for routers. This data can then be utilized for various applications by the end users. The system overcomes issues related to communication failures and energy-efficient data transmission. This advanced farming platform enhances the effectiveness of farming methods. The proposed methodology is the application of resources including as water, fertilizers, and pesticides should be optimized in order to achieve maximum efficiency while simultaneously minimizing waste. Farming productivity and sustainability are both significantly improved because of its contribution, notably in terms of the efficient management of resources. And intelligent cities used to improve agriculture—comparing the planned weather station and the numerous developed patents. The technique here is like a cutting-edge, reasonably priced choice for local weather monitoring.

关键词： Smart agriculture Productivity Wireless sensor networks Surveillance Urban areas Soil Sustainable development Water resources Farming Meteorology

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IoT-Based Greenhouse Environment Monitoring and AI-Driven Crop Optimization

IoT-Based Greenhouse Environment Monitoring and AI-Driven Cr...

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Computational Intelligence Approaches and applications (ICCIAA), International conference on

作者： Anas Al-Amlih Dania Shehadeh Salam Al-E'mari Mohammad Abu Sakha Information Security Department Faculty of Information Technology University of Petra (UoP) Amman Jordan Data Science & Artificial Intelligence Department Faculty of Information Technology University of Petra (UoP) Amman Jordan

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

GreenTech is a mobile application for IoT-based greenhouse management that integrates Artificial Intelligence (AI) and renewable energy to address challenges in modern agriculture. This project aims to optimize environmental control and crop growth in plastic greenhouses through real-time data analysis and automation. The system employs advanced sensors to monitor critical parameters, including temperature, humidity, and soil moisture, while AI algorithms provide actionable recommendations and automate climate adjustments. Users can remotely track greenhouse conditions and make data-driven decisions, resulting in improved resource efficiency and enhanced crop yields. Future research will focus on cost reduction, adaptive AI features, and expanded system functionalities to facilitate wider adoption in agricultural practices.

关键词： Temperature sensors Temperature measurement Renewable energy sources Green products Soil moisture Agriculture sensor systems Real-time systems Artificial intelligence Monitoring

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Flexible PEDOT:PSS/PVA Temperature sensor for Cost-Effective Wearable Medical Devices

Flexible PEDOT:PSS/PVA Temperature Sensor for Cost-Effective...

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Applied Research in Electrical Engineering (AREE), National and International conference on

作者： Jaefar Teymourmoghadam Ebrahim Chegini Hezare Sevom Co. 7-Niloofar Sq. 1533-874-417 Tehran Iran Electrical Engineering Department Shahid Sattari Aeronautical University of Science and Technology Tehran Iran

ISBN: (数字)9798350377170

ISBN: (纸本)9798350377187

The development of flexible and biocompatible temperature sensors is critical for wearable healthcare applications, enabling continuous and non-invasive body temperature monitoring. This paper presents a temperature sensor based on a PEDOT:PSS/PVA composite fabricated using a straightforward drop-casting method encapsulated with polydimethylsiloxane (PDMS) for enhanced durability and biocompatibility. The device is based on the negative temperature coefficient (NTC) charateristics of the fabricated composite polymer, facilitating accurate measurement of temperature alterations. The fabricated sensor demonstrates consistent performance across a physiological temperature range $\left(32^{\circ} \mathrm{C}-40^{\circ} \mathrm{C}\right)$, achieving a temperature coefficient of resistance (TCR) of $0.68 \%{ }^{\circ} \mathrm{C}$. Measurements show a stable decrease in resistance when the sensor is in touch with human skin, reflecting its sensitivity to skin temperature changes. Experimental results show that the resistance returned to its initial baseline; highlighting the repeatability of the sensor and its reliability for dynamic monitoring. The encapsulation with PDMS further enhances the flexibility of the sensor and protects it against environmental hazards while maintaining its electrical and mechanical performance intact. Compared to existing flexible temperature sensors, this device offers a practical balance of sensitivity, flexibility, and ease of fabrication. Its simple design and scalable fabrication make it suitable for various wearable medical applications, including fever detection, thermal mapping, and integration into advanced health monitoring IoT systems. This study contributes to the advancement of flexible electronics for personalized healthcare solutions.

关键词： Temperature sensors Temperature measurement Performance evaluation Fabrication Sensitivity Medical services Skin Electrical resistance measurement Biomedical monitoring Immune system

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Recent Advances in Human Activity Recognition Techniques: A Comprehensive Review

Recent Advances in Human Activity Recognition Techniques: A ...

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International Symposium on advanced Computing and Communication (ISACC)

作者： Sukanya Saha Debapriya Banik Department of Computer Science and Engineering ICFAI University Tripura Agartala India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Human Activity Recognition (HAR) interprets data from healthcare, security surveillance, human-computer interaction (HCI), and sensors to recognize and categorize human actions. The rapid development of artificial intelligence (AI) and the widespread use of sensors have drawn great interest and demonstrated the immense application potential of HAR systems based on non-invasive ambient sensors. Various methods for performing HAR have been reported by researchers. In this survey, it has been noticed that data can be collected in vision and sensor-based formats. The goal of video-based HAR is to automatically identify actions in video clips. Smart wearable sensors are the most popular kind of sensor-based HAR. Surveys have identified HAR tendencies across many contexts and applications. The researchers classified HAR techniques into three categories: online versus offline, multimodal versus unimodal, and feature-based versus learning-based approaches. This survey has focused on the recognition of different activities like sports, yoga, different dance poses, human interaction, and human actions. This survey also concentrated on single-view and multiview datasets. This study compares and contrasts the most recent HAR techniques with a discussion of widely used datasets. Various criteria, including dataset size and assessment metrics, were used to categorize and analyze the chosen studies. This survey also focused on different dataset availability.

关键词： Surveys Reviews Surveillance Medical services sensor systems Human activity recognition Security Intelligent sensors Wearable sensors Sports

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