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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...

引用

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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AI-Driven Energy Management System for Industrial and Commercial Facilities to Enhance Energy Optimization

AI-Driven Energy Management System for Industrial and Commer...

引用

Intelligent systems and advanced applications (ICISAA), International conference on

作者： M. Pushpavalli Mohd Noman Shubham Kumar Satya Praksh W.Abitha Memala C. Bhuvaneshwari P. Sivagami Sathyabama Institute of Science and Technology Chennai India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

This Paper presents a comprehensive review of the literature on An AI-powered system that can help commercial facilities cut down on energy consumption. With increasing pressure to enhance the consumption of energy efficiency and reduce costs, businesses are turning to advanced technologies such as artificial intelligence (AI) to optimize energy usage. The abstract begins by highlighting the importance of energy management in industrial and commercial sectors, emphasizing its impact on cost efficiency, environmental sustainability, and operational performance. It then provides an overview of key studies and findings in the field, including research on AI techniques inclusive of optimization algorithms, machine learning, and deep learning, applied to energy management.. The abstract discusses the potential benefits of AI-powered energy management systems, including cost savings, environmental impact reduction, and operational efficiency improvement. It also addresses challenges and future directions for research and development in this area. Overall, the abstract emphasizes the significance of AI-powered energy management systems in achieving sustainable energy solutions for industrial and commercial facilities. At its core, an AI-powered energy management system leverages advanced algorithms to examine vast amount of data collected from the facility’s operational systems, meters, and sensor. Through predictive analytics and real-time monitoring, the system can forecast energy demand, identify inefficiencies, and dynamically adjust energy usage to optimize performance. The ability of these systems to adjust and learn from past data is a major benefit as it enables ongoing optimization and development over time. By integrating with existing infrastructure and control systems, AI-powered energy management systems provide actionable insights and recommendations to facility managers, enabling informed decision-making and proactive energy management strategies.

关键词： Energy consumption Renewable energy sources Costs Green products Prediction algorithms Real-time systems Energy management systems Artificial intelligence Predictive analytics Optimization

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A Prototype of an Arduino-Based Home Automation System

A Prototype of an Arduino-Based Home Automation System

引用

International conference on advanced systems and Electric Technologies (IC_ASET)

作者： Yamna Ghoul Naoufel Zitouni Assaad Jmal LR11ES20 Analysis Conception and Control of Systems Laboratory University of Tunis El Manar National Engineering School of Tunis Le Belvédère Tunis Tunisia Faculty of Sciences of Tunis Loboratory of Applications of Energy Efficiency and Renewable Energies UR-LAPER Tunis El Manar University Tunis Tunisia Electrical Engineering Department Control and energy management laboratory (CEM lab) - BP 1173 Sfax University Engineering National School Sfax Tunisia

ISBN: (数字)9798350384895

ISBN: (纸本)9798350384901

This paper explores the realm of home automation, focusing on the development and implementation of a sophisticated system leveraging Internet of Things (IoT) technology. The core of the proposed system revolves around the Arduino Nano board, showcasing its adaptability and versatility. A DHT11 sensor is utilized to actively collect current information on temperature and humidity, and a MQ2 sensor is deployed to monitor kitchen gas leaks with an Arduino microcontroller processing this data. The continuously refreshed data is subsequently sent to an Android mobile app through the Zigbee protocol. The home automation system presented in this paper boasts a unique combination of essential features, including real-time functionality, cost-effectiveness, flexibility, upgradability, and reconfiguration capabilities. This research contributes to the expanding landscape of home automation by providing an innovative solution that addresses key aspects of modern living.

关键词： Temperature sensors Temperature measurement Temperature distribution Home automation Microcontrollers Zigbee Smart homes

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Design and simulation analysis of fiber optic current sensor using orbital angular momentum beam 11

Design and simulation analysis of fiber optic current sensor...

引用

conference on advanced sensor systems and applications XI

作者： Zhao, Yuxin Wang, Guochen Zhang, Boya Yu, Fei Wang, Zhuo Harbin Inst Technol Instrumentat Sci & Engn Harbin 150000 Peoples R China Mil Off Rocket Armaments Dept Harbin Dist Harbin 150000 Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

A fiber optic current sensor utilizing orbital angular momentum (OAM) beam is proposed in this paper. The superposition principle of composite OAM beam is deduced, and the current sensing process is derived by Jones matrix. The current is measured by detecting the rotation angle of petal-like patterns formed after the composite OAM beam through the polarizer. The reflective structure of the sensor doubles the rotation angle, which improves the measuring sensitivity and the reciprocity of the system. Through simulation analysis, we verified that the rotation angle changes linearly with the increase of current, and the sensitivity of the proposed sensor is 0.1254 degrees/A. Finally, on this basis, the angle recognition method is optimized, and the final measurement error is less than +/- 0.2% in the range of 50A-1500A.

关键词： Faraday effect orbital angular momentum current measurement petal-like pattern topological charge

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Electrohydrodynamic Printing of Conductive Microstrips on Hyperelastic Substrates for Fabrication of Flexible and Stretchable sensors

Electrohydrodynamic Printing of Conductive Microstrips on Hy...

引用

IEEE International conference on Flexible and Printable sensors and systems (FLEPS)

作者： Nadine Philippin Ingo Kuehne Gabriele Schrag Heilbronn University of Applied Sciences Kuenzelsau BW Germany Technical University of Munich Professorship of Microsensors and Actuators Munich BY Germany

ISBN: (数字)9798350383263

ISBN: (纸本)9798350383270

Recently, sensors are subjected to a vast transformation process from planar and rigid devices towards flexible or rather stretchable versions. This can be traced back to a continuous development of novel functional materials and the enhancement of various fabrication techniques. Thus, entirely new sensor designs and applications can be realized. In the present paper, electrohydrodynamic (EHD) printing as advanced non-contact printing technology is utilized for patterning of conductive microstrips serving as stretchable sensor elements. As printing medium particle-based silver inks with particle diameters in the range of 50nm and 1μm are used. In contrast to the most commonly applied substrate materials for flexible printed sensors, e.g. polydimethylsiloxane (PDMS), hyperelastic and shape-adjustable thermoplastic polyurethane (TPU) with a thickness of 100μm is applied within this work. In addition to straight conductive silver lines more complex geometries such as meanders with improved stress-strain characteristics are realized. With respect to the antagonistic material behavior of TPU and the silver inks as well as their processability, EHD printing represents a promising fabrication technique for future stretchable sensors.

关键词： Printing Fabrication Silver Ink Thermal sensors sensor phenomena and characterization sensor systems

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Simultaneous measurement of refractive index and temperature based on bent core-offset in-line fiber Mach-Zehnder interferometer 11

Simultaneous measurement of refractive index and temperature...

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conference on advanced sensor systems and applications XI

作者： Wu, Bingcheng Bao, Haiyang Zhou, Yanfei Liu, Yuan Zheng, Jie Jilin Univ Coll Elect Sci & Engn State Key Lab Integrated Optoelect Changchun 130012 Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

A bent core-offset in-line fiber Mach-Zehnder interferometer (MZIs) is proposed for refractive index (RI) sensing. After simply bending, not only the RI sensitivity but also the temperature sensitivity can be enhanced as the bending radius decreases. To solve the cross-sensitivity problem, a simultaneous measurement of RI and temperature was carried out. When the bending radius is 35.64 mm, the highest RI sensitivity of -44.55 nm/RIU for the RI range from 1.333 to 1.373, and the highest temperature sensitivity of 0.0799 nm/degrees C for the temperature range from 25 degrees C to 60 degrees C were measured simultaneously.

关键词： Fiber optic sensor Mach-Zehnder interferometer temperature refractive index bent fiber core-offset

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A Simulation Platform for Intelligent UAV Cybersecurity and Reliability Analysis

A Simulation Platform for Intelligent UAV Cybersecurity and ...

引用

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

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

引用

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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Approach to Acoustic Drone Detection System Development

Approach to Acoustic Drone Detection System Development

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IEEE International Workshop on Intelligent Data Acquisition and advanced Computing systems: Technology and applications

作者： Roman Kochan Nataliya Hots Sergiy Fabirovskyy Volodymyr Storozh Alexander Kosterov Leonid Ozirkovskyy Anna Helesh Shulhai Arkadii Volodymyr Kochan Bohdan Strykhalyuk Mykola Mykyichuk Ivan Demydov University of Bielsko-Biala Bielsko-Biala Poland Lviv Polytechnic National University Lviv Ukraine State Scientific Research Institute for Metrology of Measuring and Control Systems Sistema Lviv Ukraine I. Horbachevsky Ternopil State Medical University Ternopil Ukraine West Ukrainian National University Ternopil Ukraine

An analysis of drone detection methods was carried out in this paper. There is a reasoned choice of the optimal method for implementation based on the analysis of acoustic signals generated by drones. The set of methods of acoustic signal analysis is presented. These methods provide the measurement of drone coordinates and complement each other depending on the flight conditions. The structure of a distributed sensor network oriented on the online detection of drones and their tracking has been synthesized. The developed system provides the appropriate complexity as well as large flexibility and scalability.

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Trust evaluation method for Wireless sensor Networks based on behavioral similarity and similarity coefficient 5

Trust evaluation method for Wireless Sensor Networks based o...

引用

5th IEEE International conference on Networking and advanced systems, ICNAS 2021

作者： Saidi, Ahmed Tahri Mohammed University of Bechar Faculty of Exact Science Department of Mathematics and Computer Science Bechar Algeria

ISBN: (纸本)9781665428217

Recently, the security of Wireless sensor Networks (WSNs) has been taken match attention because WSNs are extensively applied in many applications such as environment monitoring, military operations, critical infrastructure monitoring. Trust factor has been proved to be an efficient strategy that secure the network from compromised and misbehavior nodes. Several trust models have been proposed. However, the majority of them did not consider the uncertainty nature of trust. Therefore, to overcome the uncertainty of trust, we suggest a new trust method using the behavioral similarity between sensor nodes. First, we break the behavior of sensor node into a set of behavioral patterns. Next, we use different threshold values to differentiate between trustworthy and untrustworthy patterns. Using bipartite graph, we represent the sensor nodes and their behavioral patterns as two groups of vertices. Through vertex similarity, the trust value is measured in term of behavioral similarity between the sensor nodes. Finely, we evaluate our scheme using MATLAB as a simulation tool. The result indicates that our scheme achieves high detection rate of malicious nodes and protects the network against attacks. © 2021 IEEE.

关键词： sensor nodes

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