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International conference on Applications in Electronics Pervading Industry, Environment and Society, APPLEPIES 2023

作者： Zonzini, Federica Ragusa, Edoardo De Marchi, Luca Gastaldo, Paolo University of Bologna Bologna Italy University of Genoa Genoa Italy

ISBN: (纸本)9783031481208

Machine learning allows designing intelligent sensing networks capable to perform automatic inferences about the integrity of technical facilities. Compression techniques decrease significantly energy requirements of the sensing networks proving essential when sensing nodes are not supported by constant power sources. Existing schemes pass through the reconstruction of the original time series data before moving to the diagnosis phase. However, this passage can be avoided, i.e., inference can be performed directly in the compressed domain, by exploiting the specific information retained in the compressed patterns. This paper fulfills the goal above in the context of vibration-based structural health monitoring by proving, from an empirical perspective, that Convolutional Neural networks (CNNs) can be used to predict the structural health status directly in the compressed domain when properly combined with adapted Compressed Sensing mechanisms. Importantly, the study analyses the effect of the intrinsic noise that affects digital accelerometer sensors. Results confirm that CNNs can mine information in the compressed domain even in presence of strong noise components, i.e., accuracy remains above 94% even for ultra-low-cost solutions featuring a signal-to-noise-ratio below 20 dB. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Accelerometers

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Research On Cooperative Control Technology And Application Of Wall-climbing Robot And UAV Based On Multi-sensing Fusion

JOURNAL OF APPLIED SCIENCE AND ENGINEERING

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JOURNAL OF APPLIED SCIENCE AND ENGINEERING 2023年第5期26卷 651-662页

作者： Li, Xia Hefei Coll Finance & Econ Coll Intelligent Mfg Engineers Hefei 230601 Anhui Peoples R China

Aiming at the existing problems of multiple sensors, a multi-sensor cooperative positioning technology based on dual neural networks is proposed. The established multi-sensor joint indoor positioning model introduces inertial sensor data information on the basis of the Wi-Fi positioning model. This article uses Gated Recurrent Unit (GRU) to establish a motion trajectory model, which improves the accuracy of indoor positioning and anti-interference ability, so that it can still maintain good positioning accuracy in a complex indoor environment. The basic modeling of UAV trajectory planning is studied. We analyze the physical performance and planning environment of the UAV, and transform the problem into a mathematical function. In the realization of the planning algorithm, the road sign guidance method is used to solve the local trap problem of the velocity vector field. We research on the UAV constraint fusion method, and use the "detection step method" to solve the UAV minimum turning radius constraint fusion problem. By setting the distance between the wall-climbing robot and the UAV formation relationship and introducing the speed of avoiding other UAVs, the trajectory collision-free constraint fusion is realized. On this basis, two coordination mechanisms of temporary target selection and detection step adjustment are designed to realize the coordination of the trajectory of the wall-climbing robot and the UAV in different scenarios. We study environment update methods and adopt partial update strategies to realize the processing of planning space update, task update, and threat update, so as to ensure that the algorithm can be applied to a dynamically changing environment. The design of the planning algorithm was completed, the track evaluation index was proposed, and the simulation verification software was developed to complete the verification of the algorithm's feasibility, rationality, completeness, and rapidity. The effects of adding threats and deleting

关键词： wall-climbing robot unmanned aerial vehicle collaborative constraint multi-sensor

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Design and Implementation of a Natural Respiratory Rate Monitoring System Using Flex and Inertial sensors on Medium-Power Microcontrollers 1

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2nd International conference on Advances in information and Communication Technology, ICTA 2023

作者： Dao, To-Hieu Yen, Hoang Thi Hai Tran, Van-An Vu, Hoang-Dieu Tran, Duc-Nghia Phenikaa University Yen Nghia Ha Noi Viet Nam PRATI A&A Green Phoenix Group JSC Hoang Ngan Cau Giay Ha Noi Viet Nam University of Information and Communication Technology Thai Nguyen Viet Nam Institute of Information Technology VAST Ha Noi Viet Nam

ISBN: (数字)9783031508189

ISBN: (纸本)9783031508172

In the rapidly advancing realm of science and technology, the development of health monitoring systems is emerging as a vital trend, contributing significantly to improving human life quality. A noteworthy domain is the surveillance of individuals’ natural respiratory rates during daily activities. These rates hold the potential to offer insights beyond simple health metrics and provide a comprehensive evaluation of overall well-being. This study proposes a wearable device system capable of autonomously tracking and recording natural respiratory rates during various activities, including standing, sitting, lying down, and walking. The system intelligently integrates flexible and inertial sensors. Flexible sensors detect body shape changes, while inertial sensors monitor movements and positions. This fusion enables the system to accurately and continuously measure natural respiratory rates, even with shifts in user positions and activities. Additionally, the system employs medium-power microcontrollers to process sensor data, conserving energy and ensuring real-time data processing. This approach guarantees the continuous and accurate update of respiratory rate information. With potential applications in healthcare, sports, and personal health management, this research promises numerous prospects. Monitoring natural respiratory rates through a system of flexible and inertial sensors on a medium-power microcontroller platform opens a new avenue for research, holding the potential to positively impact human health and overall quality of life. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Microcontrollers

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A Novel Communication using WWSN with intelligent Controller Unit 5

A Novel Communication using WWSN with Intelligent Controller...

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5th International conference on Smart Systems and Inventive Technology, ICSSIT 2023

作者： Elavarasi, K. Veeramani, S. An Autonomous Institution Department of Information Technology Ifet College of Engineering Villupuram India

ISBN: (纸本)9781665474672

To investigate the viability of implementing a communication-based protection system for fishermen. This system was designed with the welfare of fishermen in mind. Overall, it's an effort to create a practical, low-cost, and straightforward tool for fishermen. In some media, additionally the infrared and sound waves can be comparable. The system is built so that the information collected by sensors both on the ground and in the air can be shared seamlessly. Small sound waves present on the top of the sea are proportional to the 1s and 0s being communicated, which are produced by an underwater transmitter to the surface. © 2023 IEEE.

关键词： sensor networks

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Probabilistic information Matrix Fusion in a Multi-Object Environment

Probabilistic Information Matrix Fusion in a Multi-Object En...

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IEEE International conference on Multisensor Fusion and Integration for intelligent Systems (MFI)

作者： Yang, Kaipei Bar-Shalom, Yaakov Univ Connecticut Dept ECE Storrs CT 06269 USA

ISBN: (数字)9781665460262

ISBN: (纸本)9781665460262

In distributed sensor fusion systems, each of the local sensors has its own tracker processing local measurements for measurement-to-track association and state estimation. Only the processed data, local tracks (LT) comprising state vector estimates and their covariance matrices are transmitted to the fusion center (FC). In this work, a multi-object hybrid probabilistic information matrix fusion (MO-HPIMF) is derived taking into account all association hypotheses. In MO-HPIMF, the association carried out is between the FC track states (prediction) and the LT state estimates from local sensors. When having a large number of objects and sensors in fusion, only the m-best FC-track-to-LT association hypotheses should be incorporated in MO-HPIMF to reduce the computational complexity. A Sequential m-best 2-D method is used for solving the multidimensional assignment problem in this work. It is shown in the simulations that MO-HPIMF can successfully track all targets of interest and is superior to track-to-track fusion (T2TF, a commonly used approach in distributed sensor fusion system) which relies on hard association decisions.

关键词： Target tracking Uncertainty Computational modeling sensor fusion Probabilistic logic Covariance matrices Computational complexity

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Estimation of Soft Robotic Bladder Compression for Smart Helmets using IR Range Finding and Hall Effect Magnetic Sensing

Estimation of Soft Robotic Bladder Compression for Smart Hel...

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IEEE/RSJ International conference on intelligent Robots and Systems (IROS)

作者： Pollard, Colin Aston, Jon Minor, Mark A. Univ Utah Salt Lake City UT 84112 USA

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

This research focuses on soft robotic bladders that are used to monitor and control the interaction between a user's head and the shell of a Smart Helmet. Compression of these bladders determines impact dissipation;hence the focus of this paper is sensing and estimation of bladder compression. An IR rangefinder-based solution is evaluated using regression techniques as well as a Neural Network to estimate bladder compression. A Hall-Effect (HE) magnetic sensing system is also examined where HE sensors embedded in the base of the bladder sense the position of a magnet in the top of the bladder. The paper presents the HE sensor array, signal processing of HE voltage data, and then a Neural Network (NN) for predicting bladder compression. Efficacy of different training data sets on NN performance is studied. Different NN configurations are examined to determine a configuration that provides accurate estimates with as few nodes as possible. Different bladder compression profiles are evaluated to characterize IR range finding and HE based techniques in application scenarios.

关键词： Head Magnetic sensors Estimation Training data Artificial neural networks Bladder Soft robotics

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Remote Monitoring and Early Warning System of Subway Construction Based on Wireless sensor Network Technology

Remote Monitoring and Early Warning System of Subway Constru...

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International conference on Communications, Signal processing, and Systems, CSPS 2023

作者： Zhao, Liang Wang, Qu Fu, Meixia Gao, Jing Wei, Hanming Shanxi Information Industry Technology Research Institute Co. Ltd Taiyuan030012 China School of Automation and Electrical Engineering Institute of Industrial Internet University of Science and Technology Beijing Beijing100083 China

ISBN: (纸本)9789819975396

To enhance the intelligence level of monitoring risk sources in the process of subway construction, this system deploys a variety of sensors in the target area using wireless sensor network technology. Relevant data from the target area is collected through these sensors, which serve as data reference for monitoring risks during the subway construction. The collected data is transmitted to the management terminal in real-time through wireless network and is analyzed and processed for decision-making assistance. This remote monitoring system enables administrators to keep track of the construction project at all times and provide timely feedback to adjust ongoing efforts. Ultimately, the analysis and processing of the collected data provide powerful support and assistance for decision-making. In summary, this subway construction monitoring system has a high intelligence level, which greatly improves the safety and efficiency of subway construction and allows administrators to be always informed of the target area's conditions for timely decision-making and adjustments, guaranteeing the smooth progress of subway construction. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wireless sensor networks

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Optimizing Environmental Parameters in Smart Greenhouse Design with IoT and sensor networks 1

Optimizing Environmental Parameters in Smart Greenhouse Desi...

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1st IEEE International conference on Computing and Data Science, ICCDS 2024

作者： Raro, Edralin R. Palaoag, Thelma D. College of Agriculture and Natural Resources Camarines Norte State College Daet Camarines Norte Philippines College of Information Technology and Computer Science University of the Cordilleras Gov. pack road Baguio City Philippines

ISBN: (纸本)9798350365337

This paper explores contemporary agricultural practices and cutting-edge technologies to improve crop yields. Implementing an intelligent greenhouse model that automates farm tasks, minimizing manual intervention. The closed structure of the greenhouse shields plants from adverse weather conditions such as temperature extremes, humidity fluctuations, and variations in air and soil moisture. The study introduces an innovative automatic irrigation system to address the shortcomings of traditional agricultural irrigation methods, emphasizing efficient water consumption control and energy utilization. The proposed system integrates a distributed wireless sensor network, including soil moisture, humidity, and temperature sensors, utilizing the Blynk cloud-based IoT platform and ThinkSpeak, Soil moisture and temperature sensors feed data to NodeMCU V3 ESP8266 WiFi transceiver module controller, A key feature is integrating Android applications and web servers, enabling remote control and monitoring. This technological innovation ensures control over water and energy resources and changes climates, thereby creating sustainable and technologically driven agrarian practices. © 2024 IEEE.

关键词： Soil moisture

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Wireless sensor networks Designs and Protocols: A Survey 8

Wireless Sensor Networks Designs and Protocols: A Survey

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8th International conference on Contemporary information Technology and Mathematics, ICCITM 2022

作者： Sultan, Hasan Farag Fadhil, Mohammad Natiq University of Technology Department of Computer Science Baghdad Iraq

ISBN: (纸本)9798350334869

Modern world is full of devices, and sensors, including smartphones, computers, air conditioning devices, intelligent cars, surveillance systems, cameras, smart homes, and others such devices are ruled and controlled using protocols. This research paper is a comprehensive survey of those protocols that deal with wireless sensor networks, since their inception and until the end of 2020. The pros and cons of each are mentioned in more than one article and scientific research in this field. The research also refers to the scientific background of sensors and their design, besides their protocols. © 2022 IEEE.

关键词： Routing protocols

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Raspberry Pi-Powered IoT Device for Blind Navigation Using MobileNetV3-SSD Image processing 2

Raspberry Pi-Powered IoT Device for Blind Navigation Using M...

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2nd International conference on information and Communication Technology for Sustainable Development, ICICT4SD 2023

作者： Adnan, Md Asif Ahammed, Foysal Rahman, Mohammad Faijur Alam, Nazmul Prince, Imtiez Ahmed Ahamed, Md. Tanzim American International University-Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350358667

Individuals who have visual impairments encounter difficulties when it comes to safely and autonomously exploring their immediate environment. The present study introduces a novel intelligent blind stick that incorporates several technologies with the aim of enhancing the navigation capabilities of those with visual impairments. The blind stick incorporates a Raspberry Pi 4 as its central processing unit, accompanied by ultrasonic sensors, a soil moisture sensor, a GPS module, and a GSM module. Ultrasonic sensors are used for the purpose of stair detection, while soil moisture sensors are utilized to identify surfaces with high moisture content. The GPS module serves the function of tracking the geographical coordinates of the user, while the GSM module facilitates communication with emergency services. The blind stick incorporates MobileNetV3-SSD image processing technology for real-time object detection. The system uses image processing to identify any obstacles in the user's path. The system provides a warning if the obstacle is located at a distance of 50 cm from the user. The efficacy of the blind stick was assessed in several settings, encompassing both indoor and outdoor locations. The findings revealed its proficiency in detecting a wide range of items, encompassing individuals, automobiles, and fauna. The blind stick also effectively identified the presence of staircases and wet surfaces. The findings of this study indicate that the intelligent blind stick has considerable potential as an emerging technology to enhance the navigation capabilities of those with visual impairments, enabling them to traverse their environment with increased safety and autonomy. © 2023 IEEE.

关键词： Object detection

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