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2024 International Russian Automation conference, RusAutoCon 2024

作者： Bakirci, Murat Bayraktar, Irem Tarsus University Unmanned/Intelligent Systems Lab Faculty of Aeronautics and Astronautics Mersin Turkey

In response to the surge in private vehicle usage exacerbated by the pandemic, transportation infrastructure faces heightened demands for efficiency and safety. This trend, fueled by concerns over social distancing and changes in work patterns, has intensified traffic congestion in urban centers and tourist destinations. Consequently, local governments are exploring strategies such as smart traffic management systems and alternative transportation modes to alleviate congestion and promote sustainability. However, the escalating vehicular influx has led to a surge in traffic accidents and air pollution, posing significant threats to public health and ecological balance. Continual monitoring of road traffic is crucial for preempting traffic bottlenecks, averting accidents, and promoting sustainable transportation practices. advanced technologies, including unmanned aerial vehicles (UAVs), have emerged as powerful tools for real-time traffic monitoring. Equipped with high-resolution cameras and sensor systems, UAVs facilitate efficient data acquisition from desired regions, offering advantages over traditional aerial vehicles. While UAVs present promising solutions, real-time utilization poses challenges such as complex background scenes and detection misses. Additionally, advancements in object detection algorithms, particularly the You Only Look Once (YOLO) algorithm, have revolutionized vehicle detection. This study focuses on evaluating vehicle detection using YOLOv9, the latest iteration, and compares it with YOLOv7, its predecessor, leveraging aerial monitoring via UAVs. By elucidating the innovations introduced by YOLOv9, this study contributes to enhancing traffic monitoring capabilities and promoting effective transportation management strategies. © 2024 IEEE.

关键词： Traffic congestion

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Data-Driven Performance Evaluation of Machine Learning for Velocity Estimation Based on Scan Artifacts from LiDAR sensors

SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTOMATED VEHICLE...

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SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTOMATED VEHICLES 2025年第4期8卷

作者： Haas, Lukas Haider, Arsalan Kastner, Ludwig Kuba, Matthias Zeh, Thomas Jakobi, Martin Koch, Alexander Walter Kempten Univ Appl Sci Inst Driver Assistance Syst & Connected Mobil Kempten Germany Kempten Univ Appl Sci Fac Elect Engn Kempten Germany Tech Univ Munich Inst Measurement Syst & Sensor Technol Munich Germany

Light detection and ranging (LiDAR) sensors are increasingly applied to automated driving vehicles. Microelectromechanical systems are an established technology for making LiDAR sensors costeffective and mechanically robust for automotive applications. These sensors scan their environment using a pulsed laser to record a point cloud. The scanning process leads in the point cloud to a distortion of objects with a relative velocity to the sensor. The consecutive generation and processing of points offers the opportunity to enrich the measured object data from the LiDAR sensors with velocity information by extracting information with the help of machine learning, without the need for object tracking. Turning it into a so-called 4D-LiDAR. This allows object detection, object tracking, and sensor data fusion based on LiDAR sensor data to be optimized. Moreover, this affects all overlying levels of autonomous driving functions or advanced driver assistance systems. However, since such sensor-specific effects are rarely available in public datasets and the velocities of target objects are not included as ground truth in these datasets, it makes sense to enrich the limited real-world data with synthetic data. Therefore, this article discusses how such datasets can be created and combined to efficiently estimate velocities on real-world data using the novel method named VeloPoints.

关键词： LiDAR sensor Deep learning Motion distortion effect Point cloud Simulation advanced driver assistance systems Highly automated driving Velocity estimation

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Towards a scalable resource-driven pedestrian detection for low-cost IR sensors 49

Towards a scalable resource-driven pedestrian detection for ...

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Infrared Technology and applications xLIx 2023

作者： Qu, Jia Miwa, Shotaro Advanced Technology R&D Center Mitsubishi Electric Corporation 8-1-1 Tsukaguchi-Honmachi Amagasaki Hyogo661-8661 Japan

ISBN: (数字)9781510661837

ISBN: (纸本)9781510661820

systems using low-cost infrared (IR) sensors have gained more and more interest in recent years, such as smart video surveillance, driver assistance system, robotics, and military applications. To meet the total cost limit of these systems, low resource processers are desired. In this paper, we propose a scalable resource-driven pedestrian detection approach for low-cost IR sensors. The proposed method introduces a feature-importance-sampling based feature selection for the IR sensors which enables scalable selection of the number of effective features according to the resource requirements. To obtain high performance detection with the few selected effective features and hard-to-obtain data of low-cost IR sensors, we adopt transfer learning from easy-to-obtain visible images to train the pedestrian detector. In this way, optimal IR system design can be determined based on the trade-offs between performance and resources. Using HOG and SVM based pedestrian detection methods, we evaluate the proposed method on Thermal Diode lnfraRed (TDIR) sensor and find that key-points of the human body that observed in the TDIR images, such as the contours of the body, are selected as the most crucial attributes. As a result of training these selected features on visible images, one can reduce memory use by 1/30 and increase detection speed by about 1/6 while maintaining competitive detection performance. To summarize, the proposed work presents a scalable resource-driven method for pedestrian detection for low-cost IR sensors with high accuracy and low resource consumption. © 2023 SPIE.

关键词： Military applications

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Compact Ground Bounce sensors for SoC Energy Harvesting applications 11

Compact Ground Bounce Sensors for SoC Energy Harvesting Appl...

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11th International conference on Modern Circuits and systems Technologies (MOCAST)

作者： Moustakas, K. Noulis, T. Siskos, S. Paul Scherrer Inst PSI CH Forsch Str 111 CH-5232 Villigen Switzerland Aristotle Univ Thessaloniki Elect Lab Phys Dept Thessaloniki 54124 Greece Aristotle Univ Thessaloniki Thessaloniki Greece

ISBN: (数字)9781665467179

ISBN: (纸本)9781665467179

In this work, the energy harvesting system on chip ground bounce monitoring is addressed, by designing and comparing three ground bounce sensors. Special focus is given in compact sensors implementations, and in particular in the bulk driven MOSFET sensor, in the source follower - transconductor (SF+Gm) and in the DC coupled one. The sensors gain-bandwidth performance trade-off is addressed and all three are designed in an RFCMOS process. Their performance is demonstrated by advanced simulations results, taking into account temperature and process variations, and providing all related metrics from gain/bandwidth to linearity, power consumption and silicon active area. Selection criteria are extracted since each of these sensors is optimum to be used in different applications versus specific performance metrics.

关键词： ground bounce integrated sensors on the fly converters supply monitoring

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advanced sensor for Arsenic and Fluoride Detection 26th

Advanced Sensor for Arsenic and Fluoride Detection

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26th International conference on Hydraulics, Water Resources and Coastal Engineering, HYDRO 2021

作者： Pandey, Shivani Mishra, Satanand Dwivedi, Vijay Kumar Sardar, Tanmay Singh, Archana Bhargav, Hari Narayan Department of CARS & GM AcSIR—CSIR-Advanced Materials and Processes Research Institute Madhya Pradesh Bhopal462026 India Department of Civil Engineering National Institute of Technology Durgapur Durgapur India Mechanical Engineering Department Motilal Nehru National Institute of Technology Allahabad211004 India Department of Intelligent Materials and Advanced Processes AcSIR—CSIR-Advanced Materials and Processes Research Institute Madhya Pradesh Bhopal462026 India

ISBN: (纸本)9789811991509

Arsenic and Fluoride on the top of hazardous contaminants in water that has been exposed to root substantial effects in individuals through drinking water. It affects more than 200 million individuals spread over 50 countries and could enter the human body through the absorption of nutrient, drinking water system, inhalation, and dermic interaction. To ensure safety, it is critical not only to detect but also precisely quantify aqueous Arsenic and Fluoride. The urgent need is to develop a smart water quality testing systems that are capable of collecting real-time geolocated water quality data without the requirement for professional experience using. Synthesized nanoparticles and carbon quantum dots materials for a fluorometric detection and quick quantification of Arsenic and Fluoride in drinking water. The quantum dots mechanism has been completely defined, and the sensing mechanism has been systematically implemented. FTIR and xPS techniques are used for specific functional group determination and TEM for morphological and structural detection. Developed materials are extremely selective for Arsenic and Fluoride both, based on functional group selectivity. Synthetic Arsenic and Fluoride standards and water samples from impacted regions were used to test the sensing material’s consistency in performance. The proposed sensor detects Arsenic and Fluoride in common applications for non-expert users, especially in rural locations. The Artificial Intelligence is used for water quality monitoring. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Potable water

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Design of a Highly Isolated Compact Quad Port Orthogonal MIMO Antenna with DGS for C and x band applications

Design of a Highly Isolated Compact Quad Port Orthogonal MIM...

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2024 International conference on Innovative Computing, Intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Asokan, V. Karthika, L. Selvakumar, Blessy Sharon Gem Johnson Suresh, D. Prabhu, A.E. Meenakshiaishwarya, R. Rajalakshmi Engineering College Department of Ece Chennai India Saveetha Engineering College Department of Ece Chennai India Panimalar Engineering College Department of Ece Chennai India St.Joseph's Institute of Technology Department of Ece Chennai India

ISBN: (纸本)9798331543617

In this paper a low profile, miniaturized4-port MIMO antenna with DGS for dual band applications is presented. The suggested MIMO antenna design is a compact form, measuring 60×60×1.6 mm3, belies the sophistication within, where each parameter, meticulously set, contributes to its exceptional functionality. Noteworthy among its design features is the ingenious use of the stub method, which achieves remarkable isolation enhancements of up to 20dB across a broad operational bandwidth spanning from 6 GHz to 18 GHz. Central to its design ethos is the strategic integration of advanced isolation techniques, prominently featuring Defected Ground Structures (DGS) with rectangular patch antenna. As this proposed MIMO antenna has a 20dB average isolation, S11 >-25 dB. The proposed antenna's diversity performance characteristics are investigated, and the obtained values are 0.00001 and 0.00009, approximately 10dB, ±3dB for 6.96GHz and 10.52Ghz respectively. This proposed antenna system emerges as a beacon of innovation, poised to address the multifaceted encounters and opportunities presented by the dynamic landscape of modern wireless communication. © 2024 IEEE.

关键词： Slot antennas

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A Smart Robotic Device for Automated Environmental Monitoring: An Integrated Approach for Real-Time Data Collection and Analysis

A Smart Robotic Device for Automated Environmental Monitorin...

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

作者： Amjad Aldweesh College of Computing and IT Shaqra University Shaqra Saudi Arabia

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Smart robotic devices have emerged as a promising solution for automated environmental monitoring that addresses the limitations of traditional monitoring methods. We present a novel smart robotic device that integrates advanced mobility, energy management, data processing, and sensor modularity. The device features a robust chassis structure that supports a terrain-adaptive mobility assembly, a 360-degree rotational modular sensor arm, an onboard data processing unit, and a power management system with a rechargeable battery and a solar panel assembly. This integrated approach enables continuous, real-time data collection and analysis in diverse and challenging environments. The modular design of the device facilitates rapid customization and upgrades to meet specific monitoring needs, ensuring versatility and extended service life. We discuss the key components of the device, their interactions, and the advantages of this integrated approach for environmental monitoring applications.

关键词： Smart cities Power system management Data collection Robot sensing systems Smart systems Real-time systems Environmental monitoring Solar panels Resource management Assembly

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sensor Network System with Dynamic Service Deployment Depending on Network Condition for Smart Aquaponics

Sensor Network System with Dynamic Service Deployment Depend...

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IEEE International conference on Consumer Electronics (ICCE)

作者： Murakami, Ryota Yamamoto, Hiroshi Ritsumeikan Univ Grad Sch Informat Sci & Engn 1-1-1 Noji Higashi Kusatsu Shiga 5258577 Japan Ritsumeikan Univ Dept Informat Sci & Engn 1-1-1 Noji Higashi Kusatsu Shiga 5258577 Japan

ISBN: (纸本)9781665491303

There is an urgent need to automate and improve the efficiency of agricultural work, and IoT systems are attracting attention to increase the efficiency of agricultural operations. This study focuses on Aquaponics, an efficient agricultural method that combines hydroponics and aquaculture. Aquaponics operations need to not only manage the environment for plants, bacteria, and fish but also ensure that the plants and fish are growing properly. Therefore, we propose sensor network system that aims to improve the efficiency of aquaponics operations by analyzing information on the state of the growing environment obtained from various sensors, as well as the growth rate of plants and fish. Furthermore, to reduce the workload of administrators for device management, we propose an efficient management system with a container orchestration platform that dynamically deploys applications to nodes installed in the field. The system adopts a highly available architecture for farms where the condition of the network communication environment fluctuates. The proposed architecture is equipped with dynamic service deployment that automatically switches between edge and cloud computing based on the network conditions. Through performance evaluation, we confirm that containers equipped with the proposed analysis method can be automatically deployed and operated on edge devices using the container orchestration platform.

关键词： Internet of Things (IoT) containerization Kubernetes cloud computing edge computing aquaponics

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16th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2023

16th International Joint Conference on Biomedical Engineerin...

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16th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2023

The proceedings contain 196 papers. The special focus in this conference is on Biomedical Engineering systems and Technologies. The topics include: Monitoring of Vital Signs in the Home Environment: A Review of Current Technologies and Solutions;Analysis of a Simple Method to Change the Wettability of the PDMS Surface for Biomicrofluidic applications;in Vitro Flow Study in an Intracranial Aneurysm Biomodel Manufactured by Additive Manufacturing;a Novel Multi-Modal Sensing System Prototype for Cardiovascular and Cardiopulmonary Monitoring;A Novel Microfluidic Pressure sensor for Traditional Chinese Medicine (TCM) Pulse Data Collection and Analysis;design and Manufacturing of Microtextured Patient-Specific Coronary Stent;ultra-Low Power Electronic Circuits Inspired by Biological Genetic Processes;in silico Tissue Engineering and Cancer Treatment Using Cellular Automata and Hybrid Cellular Automata-Finite Element Models;4D Printed Surgical Devices: Current Capabilities and Challenges;bioimpedance Simulations for the Monitoring of Fluid Overload in Heart Failure Patients;towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement;simulating the Effects of Melanin and Air Gap Depth on the Accuracy of Reflectance Pulse Oximeters;a Portable System for Screening of Cervical Cancer;A Modular BLE-Based Body Area Network Embedded into a Smart Garment for Rescuers Real-Time Monitoring in Emergency Scenarios;enhancing Men’s Health Management at Home with an Easy-to-Use, App-Connected Prostate Self-Testing Device;towards a Synthetic Tissue Model of the Lower Urinary Tract;biomechanical System Prototype with advanced Biofeedback for Rehabilitation of Bedridden Patients;smartphone sensors to Measure Individual Sleeping Pattern: Experimental Study.

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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...

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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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