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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications VII"

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Base-station node implementation for real-time IoT/WSN applications: Case of RSSI-based outdoor localisation 2

Base-station node implementation for real-time IoT/WSN Appli...

引用

2nd International conference on Electronics, Energy and Measurement, IC2EM 2023

作者： Bengherbia, Billel Abederrezzaq, Benhammada Bouhedda, Mounir Tobbal, Abdelhafid Maazouz, Mohamed Toubal, Abdelmoughni University Yahia Fares of Medea Research Laboratory in Advanced Electronics Systems Lsea Medea Algeria Tipaza Kolea Algeria

ISBN: (纸本)9798350314243

The presented paper proposes a model of the Internet of Things (IoT) based Wireless sensor Network (WSN) base station node for outdoor localisation. The node is supposed to be an essential part of the network's infrastructure, where the node should be adapted to the real-time application. This study suggested designing and implementing a base-station sensor node for data collection and trilateration localisation processing. The proposed node is implemented on an FPGA type to utilise the power and speed of this type of circuit in a pure hardware description or a combined hardware/software approach, using languages like C/C++ to describe materials known as a high-level synthesis (HLS) approach. The node incorporates in its architecture a MicroBlaze-type soft-processor to manage tasks like transmission between the different end-device nodes, presenting data at the inputs of the Ip-core for processing, and reading and representing output data. An additional trilateration block has been built as a dedicated IP core for the localisation process. The experimental findings confirmed that the proposed base station node could perform real-time data processing as expected, where a time of 63 microseconds was reached in the RSSI-based outdoor localisation process. © 2023 IEEE.

关键词： Internet of things

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Visible Light Communication Based Positioning Using Color sensor 8

Visible Light Communication Based Positioning Using Color Se...

引用

8th Optoelectronics Global conference, OGC 2023

作者： Ho, Siu-Wai Chen, Chung Shue University of Adelaide Teletraffic Research Centre AdelaideSA5005 Australia Paris-Saclay Nokia Bell Labs Massy91300 France

ISBN: (纸本)9798350325324

Based on light-emitting diode (LED) lighting and recent advances in visible light communication (VLC), we propose a new visible light-based localization scheme that uses a grid color-coding principle to develop a highly accurate localization system. By measuring the light received through the projected area on the color-coded film (for light filtering) and comparing it with a predefined color code, the system can determine the 2-dimensional position of the receiver relative to an LED, i.e., the reference point (RP). It is worth noting that the proposed solution has the following attractive features and differs from existing systems: (i) it uses only one photodiode (PD) on the user device for localization, and (ii) it can provide highly accurate indoor localization with centimeter resolution. Interesting applications include localization for unmanned ground vehicles (UGVs), advanced warehousing and logistics. Since PD or light sensor can have a response time of about 25 ms or even faster, one can also expect low latency in localization, which is especially suitable for supporting mobile users and new location-based services. Simulation results have shown that an average positioning error of less than 10 centimeters is achievable under suitable conditions. © 2023 IEEE.

关键词： Visible light communication

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Enhancing sensor-Based Human Activity Recognition using Efficient Channel Attention

Enhancing Sensor-Based Human Activity Recognition using Effi...

引用

IEEE sensors conference

作者： Jitpattanakul, Anuchit Mekruksavanich, Sakorn King Mongkuts Univ Technol North Bangkok Dept Math Intelligent & Nonlinear Dynam Innovat Res Ctr Fac Appl Sci Bangkok Thailand Univ Phayao Dept Comp Engn Sch Informat & Commun Technol Phayao Thailand

ISBN: (纸本)9798350303872

sensor-based human activity recognition (S-HAR) has found applications in various domains such as medical care, sports player tracking, and health monitoring using smart wearable devices. Among the different types of sensors used in S-HAR, inertial sensors have gained popularity. Researchers have made significant progress in S-HAR systems over the past decade by employing machine learning (ML) techniques. However, the effectiveness of ML approaches was limited because they relied on manually designed feature extraction methods. To overcome this limitation, researchers have developed deep learning (DL) methodologies that automate the feature extraction process from sensor data. This study aims to investigate the effectiveness of an attention mechanism in improving the identification capabilities of DL models. We introduced an efficient method called efficient channel attention (ECA) to enhance the performance of advanced DL models in HAR. To evaluate the progress, we utilized the UCI-HAR dataset, a publicly available benchmark dataset that records six distinct human behaviors in daily living. Five baseline DL models, namely CNN, LSTM, BiLSTM, GRU, and BiGRU, were employed. The ECA mechanism was then incorporated into these models. The experimental findings demonstrate that the proposed ECA mechanism has the potential to improve the recognition capabilities of S-HAR.

关键词： wearable sensors deep learning daily living activity efficient channel attention ECA-Net

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Mosquito Electronic Counting Device

Mosquito Electronic Counting Device

引用

advanced Algorithms and Control Engineering (ICAACE), International conference on

作者： Apostolos Tsagaris Spiros Mourelatos Department of Industrial Engineering and Management International Hellenic University - IHU Thessaloniki Greece Ecodevolepment SA Thessaloniki Greece

ISBN: (数字)9798331535087

ISBN: (纸本)9798331535094

The study presents an innovative device for real-time counting and identification of adult mosquitoes, integrating IoT technologies, infrared sensors, and machine learning algorithms. The device enhances the functionality of the existing ECODEV trap by offering high accuracy, low cost, energy autonomy, and the capability for both quantitative and qualitative analysis of mosquito populations. The system's architecture is based on sensors that capture mosquito movements and transmit the data via GSM to a central server for analysis. Users can monitor the measurements in real-time through maps and applications. The device was successfully tested, achieving a counting accuracy of 93.29%, surpassing traditional systems. In the future, this technology could be expanded to other applications, such as agriculture and livestock management.

关键词： GSM Accuracy Costs Infrared sensors Real-time systems sensor systems Livestock Agriculture Optical sensors Monitoring

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An Innovative Combined Train Speed Measurement Method for Medium-Low Speed Maglev Trains

An Innovative Combined Train Speed Measurement Method for Me...

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International conference on Electromagnetics in advanced applications (ICEAA)

作者： Huang Susu School of Automation and Intelligence Beijing Jiaotong University Beijing China Signal & Communication Research Institute China Academy of Railway Science Co. Ltd Beijing China

ISBN: (数字)9798350360974

ISBN: (纸本)9798350360981

This paper delves into the medium-low speed maglev transit system, presenting a novel urban railway mode that forgoes conventional axle-based sensors such as speed odometers due to its maglev propulsion characteristics. The research introduces eddy current sensors as a viable alternative for speed measurement, leveraging their non-contact nature and immunity to mechanical wear and environmental constraints. A sophisticated sensor information fusion algorithm, integrating Kalman filtering with adaptive weighted fusion, is proposed to augment the accuracy and dependability of speed measurements. Through a meticulous comparative analysis of four speed measurement fusion algorithms based on their variance, the study identifies the most suitable algorithm for practical engineering applications in real projects. This work not only enhances the methodology of train speed measurement but also provides a foundation for future applications in similar non-contact measurement scenarios.

关键词： Mechanical sensors Magnetic levitation vehicles sensor phenomena and characterization sensor fusion Propulsion Odometers sensor systems Velocity measurement Kalman filters Eddy currents

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OSPtk: Cost-aware Optimal sensor Placement Toolkit Enabling Design-for-PHM in Critical Industrial systems 15

OSPtk: Cost-aware Optimal Sensor Placement Toolkit Enabling ...

引用

15th Annual conference of the Prognostics and Health Management Society, PHM 2023

作者： Tang, Liang Saxena, Abhinav Evans, Scott Iyer, Naresh Goldfarb, Helena GE Global Research NiskayunaNY12309 United States

ISBN: (纸本)9781936263059

Performance of a Prognostics and Health Management (PHM) system in a fielded application depends on observability from existing monitoring equipment and sensing, which get determined at the design phase. Although various technologies have been proposed in the literature, there is currently a lack of known generic tools specifically designed for performing design stage sensor placement analyses from a PHM perspective. This leads to PHM observability being an afterthought and resulting PHM designs being sub-optimal. This paper describes a new Optimal sensor Placement (OSP) framework, its implementation as a toolkit and the experience with applying it to a new product design in the context of a Small Modular Reactor (SMR). The formulation adds multiple important features that are critical to PHM applications. Firstly, it establishes a direct link to PHM performance requirements with intent to reduce operational and maintenance costs. Moreover, it acknowledges and accounts for the costs and risks of errors that PHM system will incur, and simultaneously considers operational requirements on sensing for performance, control and/or regulatory requirements. The toolkit described here implements formulations of a large number of requirements scenarios applicable in a generic industrial product development setting. © 2023 Prognostics and Health Management Society. All rights reserved.

关键词： Observability

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Clustering and Deep Learning - Based Anomaly detection in gas sensor data 21

Clustering and Deep Learning - Based Anomaly detection in ga...

引用

21st OITS International conference on Information Technology, OCIT 2023

作者： Kruthi, R. Srivathsav, M. Vinu Abinayaa, R. Hemalatha, R. Sri Sivasubramaniya Nadar College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Kalavakkam India

ISBN: (纸本)9798350358230

As civilization as a whole, the manufacturing sector, and energy consumption keeps expanding, it is vital to keep developing advanced, automated monitoring applications and instruments that will enhance the accuracy of environmental monitoring data as well as the efficiency of the ecological tracking system. Solutions for environmental monitoring have evolved into SEM systems that now include contemporary sensors and the Internet of Things (IoT). IoT technology, facilitated by wireless sensor networks and IoT devices, expedites environmental monitoring by enabling efficient real-time data collection, aggregation, and transmission. However, there is a possibility of outliers called anomalies, which comprise noisy data because of random errors. These anomalies are because of sensor malfunctioning, hardware error, power supply error, ambient environmental change, abnormal weather phenomena, etc. As anomaly detection deals with reducing the errors in data, humans cannot do this on their own, hence automation is essential, which can be done using machine learning algorithms. Current algorithms give better accuracy with univariate data distributions, but in multivariate distributions, they don't work that well. There aren't any high-accuracy algorithms for data with complex anomalies which are often observed in the real world, which gives a further scope for detection of anomalies. This work aims to identify anomaly detection algorithms that can provide better accuracy for multivariate distributions. By putting in our knowledge of sensors working better anomaly detection is possible. As a result, it is feasible to more effectively balance the efficiency and precision of anomaly detection in large data sets containing elevated dimensionality problems. © 2023 IEEE.

关键词： Anomaly detection

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Investigation of Hardware-Software Solutions for an Energy-Efficient Wireless sensor Network

Investigation of Hardware-Software Solutions for an Energy-E...

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

作者： Anastasiia Yatsenko Anzhelika Parkhomenko Carsten Wolff Artem Tulenkov Andriy Parkhomenko National University Zaporizhzhia Polytechnic Zaporizhzhia Ukraine Institute for the Digital Transformation of Application and Living Domains University of Applied Sciences and Arts Dortmund Germany

This work is devoted to the study of methods and tools for minimizing power consumption of wireless sensor networks. The results of processing experimental data for various operating modes of network nodes, as well as options for organizing their power supply and software settings are given. Practical recommendations have been developed to improve the energy efficiency of wireless sensors networks for the Smart Home systems.

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Realtime Visualization System of Various Road State Sensing Data in Winter Season 1

引用

37th International conference on advanced Information Networking and applications, AINA 2023

作者： Shibata, Yoshitaka Sakuraba, Akira Bansho, Yasushi Iwate Prefectual University 152-89 Sugo Iwate Takizawa Japan Tokyo Metropolitan Industrial Technology Research Institute Tokyo Japan Holonic Systems Ltd Kamihirasawa 7-3 Iwate Shiwa028-3411 Japan

ISBN: (数字)9783031290565

ISBN: (纸本)9783031290558

In order to maintain safe and secure driving, it is very important to correctly and quickly identify the road state on any time any locations. In this paper, we introduce a new road state viewing system using multiple on-board environmental sensors in winter season. The sensor data are processed by on-board edge computer to decide and show the road state in realtime. We build a prototype system and test the actual winter road to evaluate the accuracy and performance. As results, higher road state decision accuracy and faster viewing can be realized. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Roads and streets

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How can sensor Data Accessibility be Enhanced in IoT-Based Health Monitoring systems?

How can Sensor Data Accessibility be Enhanced in IoT-Based H...

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IEEE conference on Industrial Electronics and applications (ICIEA)

作者： Ting Wang Adrián Amatriain Pileño Eric Monacelli LIGM University of Gustave Eiffel CNRS ESIEE Paris Marne-la-Vallée France ETSIIIT Public University of Navarre Navarre Spain LISV University of Versailles Saint-Quentin-en-Yvelines Vélizy France

ISBN: (数字)9798350360868

ISBN: (纸本)9798350360875

This paper outlines the development of an economical Internet of Things (IoT)-based real-time health monitoring system. The prototype integrates a microcontroller and various sensors to monitor essential health parameters, including temper-ature, heart rate (HR), electrocardiogram (ECG), blood oxygen saturation (SpO2), and blood pressure (BP). With a focus on enhancing the accessibility of sensor data, diverse access options were implemented using advanced technical methodologies. The collected sensor data was efficiently stored, uploaded to the cloud, and visualized through tools such as HTML, Blynk, PAX-DAQ, and PuTTY, enabling seamless access via mobile devices or laptops. The paper concludes with the presentation of measurement results and an initial analysis of the sensor data, affirming the practicality and effectiveness of the proposed methods.

关键词： Heart rate Portable computers Data visualization Prototypes sensor systems Real-time systems Mobile handsets

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