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Journal articles on the topic 'Failed sensor'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Tylee, J. Louis. "Estimation of Failed Sensor Outputs." Nuclear Science and Engineering 96, no. 2 (1987): 145–52. http://dx.doi.org/10.13182/nse87-a16374.

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Sakib, Kazi. "Asynchronous failed sensor node detection method for sensor networks." International Journal of Network Management 22, no. 1 (2011): 27–49. http://dx.doi.org/10.1002/nem.782.

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Fentaye, Amare, Valentina Zaccaria, and Konstantinos Kyprianidis. "Sensor Fault/Failure Correction and Missing Sensor Replacement for Enhanced Real-time Gas Turbine Diagnostics." PHM Society European Conference 7, no. 1 (2022): 136–45. http://dx.doi.org/10.36001/phme.2022.v7i1.3315.

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Gas turbine sensors are prone to bias and drift. They may also become unavailable due to maintenance activities or failure through time. It is, therefore, important to correct faulty signal or replace missing sensors with estimated values for improved diagnostic solutions. Coping with a small number of sensors is the most difficult to achieve since this often leads to underdetermined and indistinguishable diagnostic problems in multiple fault scenarios. On the other hand, installing additional sensors has been a controversial issue from cost and weight perspectives. Gas path locations with dif

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Luo, Junhai, and Tao Li. "Bathtub-Shaped Failure Rate of Sensors for Distributed Detection and Fusion." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/202950.

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We study distributed detection and fusion in sensor networks with bathtub-shaped failure (BSF) rate of the sensors which may or not send data to the Fusion Center (FC). The reliability of semiconductor devices is usually represented by the failure rate curve (called the “bathtub curve”), which can be divided into the three following regions: initial failure period, random failure period, and wear-out failure period. Considering the possibility of the failed sensors which still work but in a bad situation, it is unreasonable to trust the data from these sensors. Based on the above situation, we

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Davis, R. N., M. E. Polites, and L. C. Trevino. "Autonomous Component Health Management with Failed Component Detection, Identification, and Avoidance." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 219, no. 6 (2005): 483–95. http://dx.doi.org/10.1243/095441005x30270.

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This article describes a novel scheme for autonomous component health management (ACHM) with failed actuator detection and identification and failed sensor detection, identification, and avoidance. This new scheme has features that are very superior to those with triple redundant sensing and voting, yet requires fewer sensors; it can be applied to any system with redundant sensing. Relevant background to the ACHM scheme is provided in this article. Simulation results for its application to a single-axis spacecraft attitude control system with a third-order plant and dual-redundant measurements

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Lakshmi, G. V. Vidya, and S. Gopikrishnan. "IMD-MP: Imputation of Missing Data in IoT Based on Matrix Profile and Spatio-temporal Correlations." JUCS - Journal of Universal Computer Science 30, no. 6 (2024): 814–46. http://dx.doi.org/10.3897/jucs.105363.

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Data in the Internet of Things (IoT) domain may be missing due to connectivity errors, environmental extremes, sensor malfunctions, and human errors. Despite the many approaches for imputing missing values, the most significant difficulty in terms of imputation precision or compute complexity for larger missing sub-sequences in uni-variate series is still being explored. This work introduced IMD-MP (Imputation of Missing Data using Matrix Profile), a new technique that improves imputation accuracy for big data analysis in IoT applications based on spatial-temporal correlations using a novel di

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Lakshmi, G.V.Vidya, and S. Gopikrishnan. "IMD-MP: Imputation of Missing Data in IoT Based on Matrix Profile and Spatio-temporal Correlations." JUCS - Journal of Universal Computer Science 30, no. (6) (2024): 814–46. https://doi.org/10.3897/jucs.105363.

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Data in the Internet of Things (IoT) domain may be missing due to connectivity errors, environmental extremes, sensor malfunctions, and human errors. Despite the many approaches for imputing missing values, the most significant difficulty in terms of imputation precision or compute complexity for larger missing sub-sequences in uni-variate series is still being explored. This work introduced IMD-MP (Imputation of Missing Data using Matrix Profile), a new technique that improves imputation accuracy for big data analysis in IoT applications based on spatial-temporal correlations using a novel di

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Tran, Cuong Dinh, Martin Kuchar, Vojtech Sotola, and Phuong Duy Nguyen. "Fault-Tolerant Control Based on Current Space Vectors against Total Sensor Failures." Sensors 24, no. 11 (2024): 3558. http://dx.doi.org/10.3390/s24113558.

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This paper proposes a fault-tolerant control (FTC) strategy using the current space vectors to diagnose sensor failures and enhance the sustained operation of a field-oriented (FO) controlled induction motor drive (IMD). Three space vectors are established for the sensor fault diagnosis technique, including one converted from the measured currents and the other two calculated from the current estimation technique, respectively, measured and with reference speeds. A mixed mathematical model using three space vectors and their components is proposed to accurately determine the fault condition of

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Chen, Haotian, Sukhoon Lee, Byung-Won On, and Dongwon Jeong. "LSTM-Based Path Prediction for Effective Sensor Filtering in Sensor Registry System." Sensors 21, no. 23 (2021): 8106. http://dx.doi.org/10.3390/s21238106.

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The Internet of Things (IoT) is expected to provide intelligent services by receiving heterogeneous data from ambient sensors. A mobile device employs a sensor registry system (SRS) to present metadata from ambient sensors, then connects directly for meaningful data. The SRS should provide metadata for sensors that may be successfully connected. This process is location-based and is also known as sensor filtering. In reality, GPS sometimes shows the wrong position and thus leads to a failed connection. We propose a dual collaboration strategy that simultaneously collects GPS readings and predi

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Kaya, Aydin, Ali Seydi Keçeli, Cagatay Catal, and Bedir Tekinerdogan. "Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model." Sensors 20, no. 11 (2020): 3173. http://dx.doi.org/10.3390/s20113173.

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For the agricultural food production sector, the control and assessment of food quality is an essential issue, which has a direct impact on both human health and the economic value of the product. One of the fundamental properties from which the quality of the food can be derived is the smell of the product. A significant trend in this context is machine olfaction or the automated simulation of the sense of smell using a so-called electronic nose or e-nose. Hereby, many sensors are used to detect compounds, which define the odors and herewith the quality of the product. The proper assessment o

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Kynkäänniemi, Tuomas, Osku Kemppinen, Ari-Matti Harri, and Walter Schmidt. "Wind reconstruction algorithm for Viking Lander 1." Geoscientific Instrumentation, Methods and Data Systems 6, no. 1 (2017): 217–29. http://dx.doi.org/10.5194/gi-6-217-2017.

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Abstract. The wind measurement sensors of Viking Lander 1 (VL1) were only fully operational for the first 45 sols of the mission. We have developed an algorithm for reconstructing the wind measurement data after the wind measurement sensor failures. The algorithm for wind reconstruction enables the processing of wind data during the complete VL1 mission. The heater element of the quadrant sensor, which provided auxiliary measurement for wind direction, failed during the 45th sol of the VL1 mission. Additionally, one of the wind sensors of VL1 broke down during sol 378. Regardless of the failur

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12

Khalid, Mustafa, and Dheyaa Jasim. "MDFD and DFD Methods to detect Failed Sensor Nodes in Wireless Sensor Network." International Journal of Computer Applications 124, no. 13 (2015): 14–18. http://dx.doi.org/10.5120/ijca2015905732.

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13

Zhang, Ying, Wenjing Wang, Tingjing Wang, and Huapeng Zhao. "Failed Sensor Localization Using Amplitude-Only Near-Field Data." IEEE Antennas and Wireless Propagation Letters 17, no. 5 (2018): 886–89. http://dx.doi.org/10.1109/lawp.2018.2821153.

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14

Polites, Michael E., Kevin E. Witzberger, Christopher M. Lane, and Mark N. Thornblom. "Optimal State Estimation With Failed Sensor Discrimination and Identification." Journal of Guidance, Control, and Dynamics 27, no. 3 (2004): 444–53. http://dx.doi.org/10.2514/1.1588.

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15

Mukhamediev, R., A. Terekhov, A. Oksenenko, et al. "EMULATION OF AIR QUALITY SENSORS IN AN URBAN SMART CITY ENVIRONMENT." Hydrometeorology and Ecology 114, no. 3 (2024): 87–99. http://dx.doi.org/10.54668/2789-6323-2024-114-3-87-99.

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Urban air pollution poses a serious threat to human health. To monitor it, both individual sensors and systems are used to assess the concentration of dust particles PM1, PM2.5, PM10 and organic compounds. However, the reliability of the sensor system cannot be 100 percent. From time to time, certain sensors in a distributed system fail. For this reason, it is very useful to emulate their readings based on the readings of the remaining sensors. The work describes a data set and proposes a machine learning model, which, based on the readings of functional sensors and weather conditions at the d

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Oh, Byung Kwan, Branko Glisic, Yousok Kim, and Hyo Seon Park. "Convolutional neural network–based data recovery method for structural health monitoring." Structural Health Monitoring 19, no. 6 (2020): 1821–38. http://dx.doi.org/10.1177/1475921719897571.

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In this study, a structural response recovery method using a convolutional neural network is proposed. The aim of this study is to restore missing strain structural responses when they cannot be collected due to a sensor fault, data loss, or communication errors. To this end, a convolutional neural network model for data recovery is constructed using the strain monitoring data stably measured before the occurrence of data loss. Under the assumption that specific sensors fail among the multiple sensors installed on a structure, the structural responses of these specific sensors are intentionall

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17

Assendelft, Rick, and H. J. van Meerveld. "A Low-Cost, Multi-Sensor System to Monitor Temporary Stream Dynamics in Mountainous Headwater Catchments." Sensors 19, no. 21 (2019): 4645. http://dx.doi.org/10.3390/s19214645.

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While temporary streams account for more than half of the global discharge, high spatiotemporal resolution data on the three main hydrological states (dry streambed, standing water, and flowing water) of temporary stream remains sparse. This study presents a low-cost, multi-sensor system to monitor the hydrological state of temporary streams in mountainous headwaters. The monitoring system consists of an Arduino microcontroller board combined with an SD-card data logger shield, and four sensors: an electrical resistance (ER) sensor, temperature sensor, float switch sensor, and flow sensor. The

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Vidana Gamage, Duminda, Asim Biswas, and Ian Strachan. "Field Water Balance Closure with Actively Heated Fiber-Optics and Point-Based Soil Water Sensors." Water 11, no. 1 (2019): 135. http://dx.doi.org/10.3390/w11010135.

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While traditional soil water sensors measure soil water content (SWC) at point scale, the actively heated fiber-optics (AHFO) sensor measures the SWC at field scale. This study compared the performance of a distributed (e.g., AHFO) and a point-based sensor on closing the field water balance and estimating the evapotranspiration (ET). Both sensors failed to close the water balance and produced larger errors in estimated ET (ETε), particularly for longer time periods with >60 mm change in soil water storage (ΔSWS), and this was attributed to a lack of SWC measurements from deeper layers (>

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19

Luo, Xiang Yan, Jun Bin Cao, and Jun Qing Cao. "Airborne Oxygen-Making System Drift Oxygen Sensor Characteristics for Fault Diagnosis Strategy." Applied Mechanics and Materials 347-350 (August 2013): 371–75. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.371.

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This paper focuses on airborne oxygen-making system shortcomings of oxygen sensor characteristic drift in, proposes a method of fault diagnosis. Oxygen sensor with a Wavelet packet analysis of feature extraction, based on wavelet neural network method to determine whether the sensor has failed, and sensor to detect hardware and software design are given.

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Su, Shen, Yanbin Sun, Xiangsong Gao, Jing Qiu, and Zhihong Tian. "A Correlation-Change Based Feature Selection Method for IoT Equipment Anomaly Detection." Applied Sciences 9, no. 3 (2019): 437. http://dx.doi.org/10.3390/app9030437.

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Selecting the right features for further data analysis is important in the process of equipment anomaly detection, especially when the origin data source involves high dimensional data with a low value density. However, existing researches failed to capture the fact that the sensor data are usually correlated (e.g., duplicated deployed sensors), and the correlations would be broken when anomalies occur with happen to the monitored equipment. In this paper, we propose to capture such sensor data correlation changes to improve the performance of IoT (Internet of Things) equipment anomaly detecti

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21

Federičová, P., A. Affolder, G. A. Beck, et al. "Setups for eliminating static charge of the ATLAS18 strip sensors." Journal of Instrumentation 19, no. 02 (2024): C02001. http://dx.doi.org/10.1088/1748-0221/19/02/c02001.

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Abstract Construction of the new all-silicon Inner Tracker (ITk), developed by the ATLAS collaboration to be able to track charged particles produced at the High-Luminosity LHC, started in 2020 and is expected to continue till 2028. The ITk detector will include 18,000 highly segmented and radiation hard n+-in-p silicon strip sensors (ATLAS18), which are being manufactured by Hamamatsu Photonics. Mechanical and electrical characteristics of produced sensors are measured upon their delivery at several institutes participating in a complex Quality Control (QC) program. The QC tests performed on

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22

Rust, Steffen. "Accuracy and Reproducibility of Acoustic Tomography Significantly Increase with Precision of Sensor Position." Journal of Forest and Landscape Research 2, no. 1 (2017): 1–6. http://dx.doi.org/10.13141/jflr.v2i1.449.

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Acoustic tomograms are widely used in tree risk assessment. They should be accurate,repeatable and comparable between consecutive measurements. Previous work has failed to address the effects of different approaches to record sensor positions, operators and models of tomograph on the resulting tomograms.In this study, three operators used the two most common sonic tomographmodels to measure seven cross-sections of Norway spruce trees, whichwere felled after the measurement. We evaluated the effects of model, operator, and different approaches to measure sensor positions on the quality of the t

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23

Boopalan, Navaamsini, Agileswari K. Ramasamy, and Farrukh Hafiz Nagi. "A hybrid neural network goal attain optimization for failed sensor(s) radiation pattern in linear array." Global Journal of Engineering and Technology Review Vol.4 (4) October-December. 2019 4, no. 4 (2019): 101–9. http://dx.doi.org/10.35609/gjetr.2019.4.4(4).

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Array sensors are widely used in various fields such as radar, wireless communications, autonomous vehicle applications, medical imaging, and astronomical observations fault diagnosis. Array signal processing is accomplished with a beam pattern which is produced by the signal's amplitude and phase at each element of array. The beam pattern can get rigorously distorted in case of failure of array element and effect its Signal to Noise Ratio (SNR) badly. This paper proposes on a Hybrid Neural Network layer weight Goal Attain Optimization (HNNGAO) method to generate a recovery beam pattern which

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Yang, Guang, and Hai Wang. "Optimal Pressure Sensor Deployment for Leak Identification in Water Distribution Networks." Sensors 23, no. 12 (2023): 5691. http://dx.doi.org/10.3390/s23125691.

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Pipe leakage is an inevitable phenomenon in water distribution networks (WDNs), leading to energy waste and economic damage. Leakage events can be reflected quickly by pressure values, and the deployment of pressure sensors is significant for minimizing the leakage ratio of WDNs. Concerning the restriction of realistic factors, including project budgets, available sensor installation locations, and sensor fault uncertainties, a practical methodology is proposed in this paper to optimize pressure sensor deployment for leak identification in terms of these realistic issues. Two indexes are utili

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Zou, Yi, and Krishnendu Chakrabarty. "Redundancy Analysis and a Distributed Self-Organization Protocol for Fault-Tolerant Wireless Sensor Networks." International Journal of Distributed Sensor Networks 3, no. 3 (2007): 243–72. http://dx.doi.org/10.1080/15501320600781078.

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Sensor nodes in a distributed sensor network can fail due to a variety of reasons, e.g., harsh environmental conditions, sabotage, battery failure, and component wear-out. Since many wireless sensor networks are intended to operate in an unattended manner after deployment, failing nodes cannot be replaced or repaired during field operation. Therefore, by designing the network to be fault-tolerant, we can ensure that a wireless sensor network can perform its surveillance and tracking tasks even when some nodes in the network fail. In this paper, we describe a fault-tolerant self-organization sc

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Shevantikar, Pradnesh Amar, Avinash Prabhakar Udata, Vinayak Ravindra Jadhav, Om Ramesh Dixit, and Abhishek Siddharam Korachagao. "Smart Footstep Energy Harvesting System." Journal of Firewall Software‎ and Networking 2, no. 1 (2024): 17–19. http://dx.doi.org/10.48001/jofsn.2024.2117-19.

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This research paper introduces a novel approach to footstep energy harvesting by integrating piezoelectric sensors into flooring surfaces. The project aims to generate sustainable electrical power from footsteps, contributing to the development of energy-efficient systems. The proposed system incorporates a unique feature that enables users to easily identify and address sensor failures or damages. The core components of the system include piezoelectric sensors strategically placed in high-traffic areas, an Arduino microcontroller for signal processing and energy management, and a rechargeable

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Singh, Seema, and T. V. Rama Murthy. "Neural Network-Based Sensor Fault Accommodation in Flight Control System." Journal of Intelligent Systems 22, no. 3 (2013): 317–33. http://dx.doi.org/10.1515/jisys-2013-0032.

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AbstractThis article deals with detection and accommodation of sensor faults in longitudinal dynamics of an F8 aircraft model. Both the detection of the fault and reconfiguration of the failed sensor are done with the help of neural network-based models. Detection of a sensor fault is done with the help of knowledge-based neural network fault detection (KBNNFD). Apart from KBNNFD, another neural network model is developed in this article for the reconfiguration of the failed sensor. A model-based approach of the neural network (MBNN) is developed, which uses the radial basis function of the ne

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Kim, Meeri. "The Quest for Noninvasive Glucose Monitoring." Optics and Photonics News 33, no. 10 (2022): 30. http://dx.doi.org/10.1364/opn.33.10.000030.

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Shishkin, O. G., V. M. Khachumov, and Yu G. Emelyanova. "Application of data correlation analysis in the problem of emulation of spacecraft sensors." Journal of Physics: Conference Series 2388, no. 1 (2022): 012070. http://dx.doi.org/10.1088/1742-6596/2388/1/012070.

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Abstract The article deals with the issues of building an emulator of a failed sensor, which is necessary to maintain the life cycle of a small spacecraft. Such an emulator is proposed to be built on the basis of a stable correlation of its data with data from other spacecraft sensors. On the basis of the performed studies, estimates of the root-mean-square deviation of the restored telemetry data from the reference values were obtained. It is shown that the proposed approach provides real-time data recovery with acceptable accuracy.

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Pan, Wu Min. "Dynamic Update Mechanism in Wireless Sensor Networks." Applied Mechanics and Materials 526 (February 2014): 267–72. http://dx.doi.org/10.4028/www.scientific.net/amm.526.267.

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Many researches use diff environmental conditions or application requirements in WSN. In the default Deluge mechanism, it will recover a sensor node from an updating error by reloading the stored full image again or waiting for the host machine to retransmit the full image again. This strategy is easy to implement and intuitive, but replacing the current executing image by retransmitting a full image file again is resource-consuming. To avoid retransmitting the full image when performing recovery, at the time when diff-based updating procedures have been finished, sensor nodes using our recove

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Dunai, Andrii, та Serhii Vialov. "Застосування методу парирування відмов датчиків при управлінні роботою малорозмірного авіадвигуна". Aerospace Technic and Technology, № 4sup1 (24 серпня 2023): 64–69. http://dx.doi.org/10.32620/aktt.2023.4sup1.09.

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The subject of the research is the application of the method of parrying sensor failures - one of the modern progressive approaches to ensuring the smooth and efficient operation of complex automatic control systems. This article is devoted to the application of this method in the control of a small-sized aircraft engine, which is an actual solution for the development of the aviation industry. The purpose of this study is to choose the optimal method for parrying sensor failures of a small-sized aircraft engine by analyzing existing methods and choosing engine parameters that should be used f

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Ortega, Fernando, Ángel González-Prieto, Jesús Bobadilla, and Abraham Gutiérrez. "Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks." Sensors 20, no. 16 (2020): 4628. http://dx.doi.org/10.3390/s20164628.

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Internet of Things (IoT) projects are increasing in size over time, and some of them are growing to reach the whole world. Sensor arrays are deployed world-wide and their data is sent to the cloud, making use of the Internet. These huge networks can be used to improve the quality of life of the humanity by continuously monitoring many useful indicators, like the health of the users, the air quality or the population movements. Nevertheless, in this scalable context, a percentage of the sensor data readings can fail due to several reasons like sensor reliabilities, network quality of service or

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Gorelov, E., Oleksander Zbrutsky, and S. Schogoleva. "Verification of the method of finding a faulty sensor in reduced meters." MECHANICS OF GYROSCOPIC SYSTEMS, no. 40 (December 26, 2021): 100–107. http://dx.doi.org/10.20535/0203-3771402020249394.

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The reliability of the method for determining a failed sensor in a redundant angular velocity meter (AVM) by means of its experimental verification is considered. The mutual non-orthogonal arrangement of six axes of sensor sensitivity has been optimized to reduce the instrumental errors of each sensitive element and ensure the equality of their contribution. Provides approximately the same sensitivity to the level of error in case of failure. One of the six experimentally obtained sensor signals contains an error that exceeds the specified permissible limit. The algorithm for searching for a s

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Gorelov, Evgen, and Svitlana Shchogoleva. "Synthesis and verification of the method of finding a faulty sensor in redundant meters." MECHANICS OF GYROSCOPIC SYSTEMS, no. 44 (December 12, 2022): 95–102. http://dx.doi.org/10.20535/0203-3771442022284635.

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The reliability of the method for determining a failed sensor in a redundant angular velocity meter (AVM) by means of its experimental verification is considered. The mutual non-orthogonal arrangement of six axes of sensor sensitivity has been optimized to reduce the instrumental errors of each sensitive element and ensure the equality of their contribution. Provides approximately the same sensitivity to the level of error in case of failure. One of the six experimentally obtained sensor signals contains an error that exceeds the specified permissible limit. The algorithm for searching for a s

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Liu, Jie, Lian Yan, Huangsen Deng, Mingxin Qin, and Mingsheng Chen. "Magnetic Induction Phase Difference for Cerebral Hemorrhage Detection." Sensors 25, no. 1 (2024): 157. https://doi.org/10.3390/s25010157.

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Magnetic induction phase shift is a promising technology for the detection of cerebral hemorrhage, owing to its nonradioactive, noninvasive, and real-time detection properties. To enhance the detection sensitivity and linearity, a zero-flow sensor was proposed. The uniform primary magnetic field and its counteraction were achieved. Phase-change responses to solutions of varying conductivities and rabbits with cerebral hemorrhage were investigated and compared with traditional sensors. The sensitivities in detecting solutions with different conductivities were 1.84, 1.39, and 1.22 times higher

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Noma, H., C. Naito, M. Tada, et al. "Prototyping Sensor Network System for Automatic Vital Signs Collection." Methods of Information in Medicine 52, no. 03 (2013): 239–49. http://dx.doi.org/10.3414/me12-01-0096.

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SummaryObjective: Development of a clinical sensor network system that automatically collects vital sign and its supplemental data, and evaluation the effect of automatic vital sensor value assignment to patients based on locations of sensors.Methods: The sensor network estimates the data-source, a target patient, from the position of a vital sign sensor obtained from a newly developed proximity sensing system. The proximity sensing system estimates the positions of the devices using a Bluetooth inquiry process. Using Bluetooth access points and the positioning system newly developed in this p

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Yapp, Liam Z., Patrick G. Robinson, Nicholas D. Clement, and Chloe E. H. Scott. "Total Knee Arthroplasty and Intra-Articular Pressure Sensors: Can They Assist Surgeons with Intra-Operative Decisions?" Current Reviews in Musculoskeletal Medicine 14, no. 6 (2021): 361–68. http://dx.doi.org/10.1007/s12178-021-09724-5.

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Abstract Purpose of Review Soft tissue imbalance, presenting as instability or stiffness, is an important cause of revision total knee arthroplasty (TKA). Traditional methods of determining soft tissue balance of the knee lack precision and are not reliable between operators. Use of intra-operative pressure sensors offers the potential to identify and avoid soft tissue imbalance following TKA. This review aims to summarise the literature supporting the clinical indication for the use of intra-articular pressure sensors during TKA. Recent Findings Analytical validation studies suggest that intr

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Thieme, Alison, Kusuma Prabhakara, Jyoti Jennewein, Brian T. Lamb, Greg W. McCarty, and Wells Dean Hively. "Intercomparison of Same-Day Remote Sensing Data for Measuring Winter Cover Crop Biophysical Traits." Sensors 24, no. 7 (2024): 2339. http://dx.doi.org/10.3390/s24072339.

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Winter cover crops are planted during the fall to reduce nitrogen losses and soil erosion and improve soil health. Accurate estimations of winter cover crop performance and biophysical traits including biomass and fractional vegetative groundcover support accurate assessment of environmental benefits. We examined the comparability of measurements between ground-based and spaceborne sensors as well as between processing levels (e.g., surface vs. top-of-atmosphere reflectance) in estimating cover crop biophysical traits. This research examined the relationships between SPOT 5, Landsat 7, and Wor

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Chachuła, Krystian, Robert Nowak, and Fernando Solano. "Pollution Source Localization in Wastewater Networks." Sensors 21, no. 3 (2021): 826. http://dx.doi.org/10.3390/s21030826.

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In December 2016, the wastewater treatment plant of Baarle-Nassau, Netherlands, failed. The failure was caused by the illegal disposal of high volumes of acidic waste into the sewer network. Repairs cost between 80,000 and 100,000 EUR. A continuous monitoring system of a utility network such as this one would help to determine the causes of such pollution and could mitigate or reduce the impact of these kinds of events in the future. We have designed and tested a data fusion system that transforms the time-series of sensor measurements into an array of source-localized discharge events. The da

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Xu, Zu Ming, and Xiong Fu. "A Study on Fault Model and Fault-Tolerant Routing for Sensor Networks." Applied Mechanics and Materials 182-183 (June 2012): 1265–69. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1265.

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Wireless sensor networks require energy-efficient and robust routingprotocols. Most routing protocols for sensor networks try to extendnetwork lifetime by minimizing the energy consumption, but have not taken the network reliability into account. In this paper, we analyze the fault models and propose an ENergy-aware FAult-tolerantRouting scheme, termed as ENFAR. Firstly a link-based uniform fault model is presented, and we adopt a cross-layer design to measurethe transmission delay so as to detect the failed nodes.

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Karri, Satish Poojith Reddy, and A. Srinivaas. "Obstacle Detection Challenges of Camera Sensor Designed for ADAS." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 11 (2020): 90–98. https://doi.org/10.35940/ijitee.K7684.0991120.

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Camera is a very crucial sensor for ADAS which is commonly used in all the vehicles to assist driver by providing information about all the obstacles around the vehicle during a drive. The Camera sensor is a vision based sensor and it is highly preferred because of its advantages like excellent in classification, good resolution, very economical and small in size. Still this sensor is having some disadvantages like huge computational load, failed to detect obstacles due to poor light and weather conditions and even less capable to estimate the distance from the obstacle. In recent years so man

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Zheng, Jun Hui, and Bing Li. "Fire Seat Intelligent Identification System." Applied Mechanics and Materials 536-537 (April 2014): 421–25. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.421.

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Current fire alarm system can only send fire alarms but failed to report accurately ignition point. So a fire seat intelligent identification system was designed based on wireless sensor networks. The system collects data from wireless sensors using ZigBee wireless communication technology, and carries on cluster analysis on the data set using the improved fuzzy kernel clustering algorithm, and gets accurate clustering results. Finally the ignition source location information is reported to the fire alarm control center. The experimental results show that, compared with other methods, this sys

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T, Buddesab, Thriveni J, and Venugopal K R. "Trust model genetic node recovery based on cloud theory for underwater acoustic sensor network." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 3759. http://dx.doi.org/10.11591/ijece.v9i5.pp3759-3771.

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<span>Underwater Acoustic Sensor Networks [UASNs] are becoming a very growing research topic in the field of WSNs. UASNs are harmful by many attacks such as Jamming attacks at the physical layer, Collision attacks at the data link layer and Dos attacks at the network layer. UASNs has a unique characteristic such as unreliable communication, mobility, and computation of underwater sensor network. Because of this the traditional security mechanism, e.g. cryptographic, encryption, authorization and authentications are not suitable for UASNs. Many trust mechanisms of TWSNs [Terrestrial Wirel

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Buddesab, J. Thriveni, and K. R. Venugopal. "Trust model genetic node recovery based on cloud theory for underwater acoustic sensor network." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 3759–71. https://doi.org/10.11591/ijece.v9i5.pp3759-3771.

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Underwater Acoustic Sensor Networks [UASNs] are becoming a very growing research topic in the field of WSNs. UASNs are harmful by many attacks such as Jamming attacks at the physical layer, Collision attacks at the data link layer and Dos attacks at the network layer. UASNs has a unique characteristic such as unreliable communication, mobility, and computation of underwater sensor network. Because of this the traditional security mechanism, e.g. cryptographic, encryption, authorization and authentications are not suitable for UASNs. Many trust mechanisms of TWSNs [Terrestrial Wireless Sensor N

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Fekete, Andrea, Aarti Grover, Wei He, et al. "0993 A Senseless Sensing Lead: A Case Of Failed Sensing Lead In Hypoglossal Nerve Stimulator." SLEEP 46, Supplement_1 (2023): A437—A438. http://dx.doi.org/10.1093/sleep/zsad077.0993.

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Abstract Introduction The hypoglossal nerve stimulator (HGNS) is an implanted device used to treat moderate to severe obstructive sleep apnea (OSA), offering an alternative form of therapy to continuous positive airway pressure. Currently, the Inspire® Upper Airway Stimulation (UAS) system is the only such device approved by the U.S. Food and Drug Administration (FDA). Report of case(s) We present a case of sensory lead malfunction in a 54-year-old man with moderate OSA who underwent HGNS implant in 2018 with the three-incision method and the sensory lead positioned in the 6th intercostal spac

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Robinson, Johanna Amalia, David Kocman, Milena Horvat, and Alena Bartonova. "End-User Feedback on a Low-Cost Portable Air Quality Sensor System—Are We There Yet?" Sensors 18, no. 11 (2018): 3768. http://dx.doi.org/10.3390/s18113768.

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Low-cost sensors are a current trend in citizen science projects that focus on air quality. Until now, devices incorporating such sensors have been tested primarily for their technical capabilities and limitations, whereas their usability and acceptability amongst the public rarely goes beyond proof of concept, leaving user experience (UX) unstudied. The authors argue that UX should be taken into account to make sure that products and services are fit for purpose. Nineteen volunteers tested and evaluated a prototype device and provided feedback through semi-structured interviews and during foc

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Li, Jiahao, Yuhao Tao, Kai Yuan, et al. "Fruchterman–Reingold Hexagon Empowered Node Deployment in Wireless Sensor Network Application." Sensors 22, no. 14 (2022): 5179. http://dx.doi.org/10.3390/s22145179.

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Internet of Things (IoT) and Big Data technologies are becoming increasingly significant parts of national defense and the military, as well as in the civilian usage. The proper deployment of large-scale wireless sensor network (WSN) provides the foundation for these advanced technologies. Based on the Fruchterman–Reingold graph layout, we propose the Fruchterman–Reingold Hexagon (FR-HEX) algorithm for the deployment of WSNs. By allocating edges of hexagonal topology to sensor nodes, the network forms hexagonal network topology. A comprehensive evaluation of 50 simulations is conducted, which

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Henna, Shagufta, and Muhammad Awais Sarwar. "An Adaptive Backoff Mechanism for IEEE 802.15.4 Beacon-Enabled Wireless Body Area Networks." Wireless Communications and Mobile Computing 2018 (June 26, 2018): 1–15. http://dx.doi.org/10.1155/2018/9782605.

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Carrier sense multiple access mechanism with collision avoidance (CSMA/CA) in IEEE 802.15.4-based wireless body area networks (WBANs) may impair the transmission reliability of emergency traffic under high traffic loads, which may result in loss of high valued medical information. Majority of the recent proposals recommend an early retransmission of failed frame while ignoring the history of past failed transmissions. More importantly, these proposals do not consider the number of failed transmissions experienced by each sensor node, thereby affecting the reliability of retransmissions. In thi

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P., P. Shinde, Dipak Kasar Neha, Umesh Thakur Sikandar, Sunil Bhoi Uday, and Suresh Kale Aakanksha. "Detection of Dementia by Behavior Sensing." Journal of Analog and Digital Devices 5, no. 1 (2020): 18–21. https://doi.org/10.5281/zenodo.3786156.

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<strong>As per the recent study the number of dementia illnesses has seen growth around the world. This disease can be treated if it is early detected. So there is a need to develop a system that detects the disease in elderly people living alone. In the system, different sensors sense the behavior of elderly people who are living alone. The effect of dementia is determined by calculating a score of sensed behavior. Behaviors in the initial stage of dementia are many and diverse from designated to subjects, therefore, in this study, we collected data from different subjects and, we considered

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Ayanoglu, Mehmet Bugrahan, and Ismail Uysal. "ML Approach to Improve the Costs and Reliability of a Wireless Sensor Network." Sensors 23, no. 9 (2023): 4303. http://dx.doi.org/10.3390/s23094303.

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Temperature-controlled closed-loop systems are vital to the transportation of produce. By maintaining specific transportation temperatures and adjusting to environmental factors, these systems delay decomposition. Wireless sensor networks (WSN) can be used to monitor the temperature levels at different locations within these transportation containers and provide feedback to these systems. However, there are a range of unique challenges in WSN implementations, such as the cost of the hardware, implementation difficulties, and the general ruggedness of the environment. This paper presents the no

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