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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...

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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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Machine Learning-enabled Performance Model for DNN applications and AI Accelerator 24

Machine Learning-enabled Performance Model for DNN Applicati...

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24th IEEE International conference on High Performance Computing and Communications, 8th IEEE International conference on Data Science and systems, 20th IEEE International conference on Smart City and 8th IEEE International conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Wu, Ruohan Li, Mingfan Li, Hanxi Chen, Tianxiang Tian, Xinghui Xu, Xiaoxin Zhou, Bin Chen, Junshi An, Hong University of Science and Technology of China Anhui Hefei China Huawei Hangzhou China

ISBN: (纸本)9798350319934

As innovations in deep learning systems and deep neural network (DNN) models continue to grow, accurate performance analysis acts as a promising tool for understanding and navigating the complex software-hardware interplay, especially for the today's heterogeneous AI architecture. However, the actual execution of DNNs on the dedicated accelerators involves chal-lenges from nontrivial dataflow graph analysis, tensor compiler optimizations, and operator performance prediction. In this work, we propose a two-stage performance model framework that combines graph-level analysis and operator-based hotspot modeling to bridge the gap between high-level application performance and its software-hardware systems. By the employ of machine learning (ML) solution, our performance model further captures the low-level hardware-dependent information, including operator fusion and data layout transformation. Our graph analysis for mainstream models from computer vision (CV), natural language processing (NLP) and recommendation domains selects total 26 kinds of operators and builds a dataset on the Huawei Ascend 910. With the well-trained model, our open source11Source code available at https://***/Huawei-Performance-Model/Ascend-910b performance model finally achieves 15.4 % average error for predicting the execution time of DNN models, and our modeling for memory access and performance bottleneck supports efficient running of DNN models for future systems. © 2022 IEEE.

关键词： Neural network models

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advanced Camouflage Robot for Military Spying applications using sensor Fusion and Machine Learning

Advanced Camouflage Robot for Military Spying Applications u...

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Blockchain and Distributed systems Security (ICBDS), IEEE International conference on

作者： Neeraj P Kulkarni Subim N. Khan Rahul Ramkishan Rathod Ajay Raosaheb Choure Mahesh Gokul Chinchole Mechanical Engineering JSPM Rajarshi Shahu College of Engineering Pune India Computer Engineering SOET D Y Patil University Ambi Pune India E&TC Department Bhivarabai Sawant Institute Of Technology And Research Pune India E&TC Department Nutan Maharashtra Institute of Engineering and Technology Pune Pune India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

The current defense application scenario. the ability to blend into the environment is crucial for reducing detection and enhancing operational efficiency. This paper presents the development of an advanced camouflage robot to dynamically adapt its color to match its surroundings. The proposed system utilizes a combination of machine learning, computer vision, and sensor fusion to achieve camouflaging using the RGB LED panels mounted on the robot to adapt to the color of the surroundings. The robot is equipped with a video camera system that captures real-time video feed of the environment. The captured video is then processed by a trained machine learning model, which analyzes the color distribution in the surroundings. Simultaneously, the robot uses RGB color sensors to accurately detect the colors present in its immediate vicinity. The data from both the camera and the sensors are integrated to determine the predominant color around the robot. The hybrid camouflaging approach involves feeding the combined data into the machine learning model, which then calculates the color of maximum distribution. The robot then activates its RGB panels, adjusting their color to blend with the identified predominant color in the environment thereby making it difficult to locate. This process allows the robot to effectively camouflage itself, minimizing its visual footprint. KNN and sensor fusion techniques are used to achieve this task.

关键词： Image color analysis Robot vision systems Machine learning sensor fusion Streaming media Robot sensing systems Light emitting diodes Cameras Security Robots

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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 Comprehensive Review on Wearable Smart Respiratory Monitoring Shirt in COPD Patients

A Comprehensive Review on Wearable Smart Respiratory Monitor...

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Automation, Computing and Renewable systems (ICACRS), International conference on

作者： Sakthivel Sankaran P. Varshitha K. Manasa Shiva Sai P. Akshitha Reddy K. Likhitha Reddy Department of Biomedical Engineering Kalasalingam Academy of Research and Education Krishnankoil India

ISBN: (数字)9798331532420

ISBN: (纸本)9798331532437

Wearable technology has emerged as a transformative tool for respiratory health monitoring, offering innovative, non-invasive solutions to track vital parameters such as breathing rate, oxygen saturation, tidal volume, and lung function. This review synthesizes recent advancements in wearable respiratory monitoring systems, emphasizing their underlying technologies, clinical applications, and potential impact across healthcare and personal wellness domains. Modern heаlth monitoring systems incorporate diverse sensor technologies, including fiber optic sensors, strain-based sensors, and bioimpedance analysis, to achieve high accuracy in real-time monitoring. advanced features such as wireless connectivity, cloud-based data analytics, and integration with mobile platforms enhance usability and enable personalized feedback. This review discusses key innovations, evaluates comparative performance against conventional methods, and highlights emerging trends, including the use of machine learning for data interpretation and adaptive systems for diverse user requirements.

关键词： Wireless communication Wireless sensor networks Technological innovation Renewable energy sources Reviews Real-time systems Chronic obstructive pulmonary disease Biomedical monitoring Usability Monitoring

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Passive Cylindrical Resonator Temperature sensor Based on Commercial Low-Loss Dielectric Material

Passive Cylindrical Resonator Temperature Sensor Based on Co...

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IEEE International conference on RFID-Technology and applications (RFID-TA)

作者： Jayaprakash Shivakumar Nicholas Reed Cory Clark Rishikesh Srinivasaraghavan Govindarajan Daewon Kim Eduardo Rojas Department of Electrical Engineering and Computer Science Embry-Riddle Aeronautical University Daytona Beach USA Department of Aerospace Engineering Embry-Riddle Aeronautical University Daytona Beach USA WavePro Palmyra USA

ISBN: (数字)9798331540227

ISBN: (纸本)9798331540234

This research focuses on the development of a passive X-band cylindrical resonator sensor antenna for temperature sensing applications. The resonator sensor antenna design aims to enable precise and real-time monitoring of temperature while embedded inside various materials and structures like polymers and composites. By integrating the sensing capabilities and a slot antenna directly into the cylindrical resonator structure, the research seeks to minimize additional components and streamline the sensing process. The cylindrical resonator sensor antenna operates at a frequency of 10.6 GHz to minimize the size of the resonator and enable high sensitivity and accuracy in detecting subtle changes in temperature. The cylindrical resonator is made from high-permittivity ceramic-loaded PTFE material by WavePro to ensure minimized dielectric losses and allow for sensor miniaturization. The sensor is interrogated through a high bandwidth probing antenna or a Frequency Modulated Continuous Wave (FMCW) radar and the reflected signals are analyzed to extract resonance data. This study proposes a design for the resonator and antenna through high-fidelity simulations and prototypes ensuring reliable and efficient sensing across a range of industrial and structural applications. The outcomes of this research hold the potential to significantly advance the capabilities of temperature monitoring systems. The novelty of this work resides on (a) using a commercial low-loss dielectric material for sensor implementation, (b) the use of advanced manufacturing techniques including 5-axis femtosecond laser machining, and (c) a novel embedded wireless sensor concept. A linear sensor temperature response is measured in the range of 25-210°C, at a sensing distance of 0.5 cm.

关键词： Temperature sensors Temperature measurement Wireless communication Wireless sensor networks Dielectric materials Resonant frequency Radar antennas Dielectric resonator antennas sensors Radiofrequency identification

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Universal design of an Embedded Hardware for Educational robotics based on Atmega328P

Universal design of an Embedded Hardware for Educational rob...

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Embedded systems and Artificial Intelligence (ESAI), International conference on

作者： Mohammed El Miri Said El Khaldi Ismael Driouch Loukmane Elkhaldi Experimentation and Modeling in Mechanics and Energy Systems Team National School of Applied Sciences ENSAH Abdelmalek Essaadi University Al hoceima Morocco Sciences and Advanced Technologies National School of Applied Sciences ENSATE Abdelmalek Essaadi University Tetouan Morocco

ISBN: (数字)9798331522056

ISBN: (纸本)9798331522063

This paper presents the design and development of an universal and cost-effective embedded hardware platform for educational robotics applications. The core of the system utilizes the popular Atmega328P microcontroller, known for its robustness and affordability. The design prioritizes minimalism principles while maintaining essential functionalities for basic robot control and sensors integration. The hardware system includes four stepper motor drivers, four H-bridge motor drivers, a 16-channel PWM controller and GPIO connections for sensors and user command. The software design provides a versatile framework for controlling motors, reading sensor data, and enabling communication between devices, making the platform easy to program and customize. Our design makes the system ideal for educational and research settings, allowing users to explore robotics concepts without the constraints of complex and expensive hardware.

关键词： Embedded systems Software design Education Robot sensing systems Motors Hardware sensor systems Robustness sensors Robots

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Two-Beam Slot Antenna for Power Harvesting applications

Two-Beam Slot Antenna for Power Harvesting Applications

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International conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Marija Milijic Branka Jokanovic Faculty of Electronic Engineering University of Nis Nis Serbia Institute of Physics University of Belgrade Pregrevica Serbia The Academy of Engineering Sciences of Serbia Belgrade Serbia

In this paper a new design of a double-slot antenna fed by microstrip line is proposed for power harvesting applications at Ka band. The antenna consists of two parallel slot radiators connected with CPW line in the middle. Radiation pattern of this antenna is optimized to exhibit the maximum gain of 9 dBi in two directions that are offset 40 degrees in respect to the antenna broadside. Proposed antenna is suitable for powering wireless sensor nodes and passive RF identification tags with known RF source when the frequency and direction of arrival of the field are known.

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advanced RFSoC readout for space-based superconducting sensor arrays 11

Advanced RFSoC readout for space-based superconducting senso...

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conference on : Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy XI

作者： Henderson, Shawn W. Ahmed, Zeeshan D'Ewart, John M. Frisch, Josef C. Herbst, Ryan Liu, Chao Ma, Lili Ruckman, Larry Van Winkle, Daniel D. Yu, Cyndia Kavli Inst Particle Astrophys & Cosmol Menlo Pk CA 94025 USA SLAC Natl Accelerator Lab Menlo Pk CA 94025 USA Stanford Univ Dept Phys Stanford CA 94305 USA

ISBN: (纸本)9781510653627;9781510653610

Low-energy threshold, high-resolution superconducting detector arrays with 10(3) -10(5) pixels are increasingly necessary in ground- and space-based telescopes across the electromagnetic spectrum including mm-wave, far-infrared (Far-IR), near-infrared, X-ray, and gamma rays. Reading out such large numbers of sensors poses significant technical challenges, but recent cryogenic readout technology developments are enabling the simultaneous read out of significantly more channels with minimal performance impact. An especially promising set of cold readout technologies couple cryogenic sensors to superconducting resonators. These technologies rely on high-frequency RF electronics to interrogate and demodulate the sensors' signals using digitally generated tones. Recently released Radio Frequency systems-on-Chip (RFSoC) devices from Xilinx combine a FPGA with high-speed ADCs and DACs onto a single chip. These systems provide significant advantages for these applications, including lower cost, reduced size and weight, lower power consumption, and improved RF performance. While an RFSoC-based warm readout system would be attractive for a broad range of spacecraft applications, Xilinx has not announced plans for a space qualified version of its RFSoC devices and insufficient data is publicly available to evaluate the feasibility of using RFSoC devices in space. To evaluate the suitability of RFSoC devices for spacecraft applications, we have designed and built custom boards using all space-qualified components except for the RFSoC. In this contribution we present the design of our custom RFSoC board, measurements of critical aspects of board performance which relate to operation in the harsh space environment, and measurements of integrated RF performance targeting the readout of large superconducting sensor arrays and space-based radio spectrometry. In addition to a wide range of spacecraft applications including communications and radar, our RFSoC platform is a potentially

关键词： Radio Frequency Readout Electronics Spacecraft Electronics Space Qualification Radio Frequency-systems-on-Chip Radio Astronomy Far-Infrared Astronomy X-ray Astronomy Cosmic Microwave Background

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