Relevant bibliographies by topics / Conditioned sensor

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Conditioned sensor'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Conditioned sensor"

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Raiter, Mr Siddikiakbar S. "Split Air-Conditioned Condition Monitoring Using Mechatronics Sensors." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47048.

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Abstract - This study presents a mechatronics-based approach for real-time condition monitoring of split air-conditioning systems. Integrating sensors and IoT technologies, the proposed system enables remote monitoring and fault diagnosis of critical parameters such as temperature, humidity, pressure, and vibration. Mechatronics sensors, including temperature, pressure, gas sensor and vibration sensors, are strategically deployed to collect data on system performance. Advanced signal processing and machine learning algorithms analyze the data to detect anomalies, predict potential faults, and
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Xu, Long, Hong Jiang, and Kun Zhan. "IMMRPF Class-Conditioned Joint Tracking and Classification." Applied Mechanics and Materials 513-517 (February 2014): 1713–16. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1713.

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An IMMRPF class-conditioned joint tracking and classification (IMMRPF-CCJTC) algorithm is proposed in this paper. This IMMRPF-CCJTC algorithm is integrated by Bayesian classifier and class-conditioned Bayesian multiple model filter that is implemented by IMMRPF. It relies on the low-resolution radar and electronic support equipment (ESM) as its kinematic sensor and attribute sensor, respectively, and has good modular structure and less computational load. Simulations verify the effectiveness of the IMMRPF-CCJTC algorithm.
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Golestan, Shadan, Ioanis Nikolaidis, and Eleni Stroulia. "Towards a Simulation Framework for Smart Indoor Spaces." Sensors 20, no. 24 (2020): 7137. http://dx.doi.org/10.3390/s20247137.

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The effectiveness of sensor-based applications for smart homes and smart buildings is conditioned upon the deployment configuration of their underlying sensors. Real-world evaluation of alternative possible sensor-deployment configurations is labor-intensive, costly, and time-consuming, which implies the need for a simulation-based methodology. In this work, we report on such a methodology that supports the modeling of indoor spaces, the activities of their occupants, and the behaviors of different types of sensors. We argue that, in order for a simulation to be useful for the purpose of evalu
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Du, Xiongjie, Yue Wang, and Xiuming Shan. "Robust sensor bias estimation for ill-conditioned scenarios." Tsinghua Science and Technology 17, no. 3 (2012): 319–23. http://dx.doi.org/10.1109/tst.2012.6216763.

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Zhou, Quanchen, Jiabao Zuo, Wenhao Kang, and Mingwu Ren. "High-Precision 3D Reconstruction in Complex Scenes via Implicit Surface Reconstruction Enhanced by Multi-Sensor Data Fusion." Sensors 25, no. 9 (2025): 2820. https://doi.org/10.3390/s25092820.

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In this paper, we investigate implicit surface reconstruction methods based on deep learning, enhanced by multi-sensor data fusion, to improve the accuracy of 3D reconstruction in complex scenes. Existing single-sensor approaches often struggle with occlusions and incomplete observations. By fusing complementary information from multiple sensors (e.g., multiple cameras or a combination of cameras and depth sensors), our proposed framework alleviates the issue of missing or partial data and further increases reconstruction fidelity. We introduce a novel deep neural network that learns a continu
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Yudithia, Frenzi Agres, Deri Latika Herda, and Al Hafizh Wahyudi. "Smart Air Humidifier For Air-conditioned Rooms Based On NodeMCU ESP8266." JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development 1, no. 2 (2024): 54–58. http://dx.doi.org/10.62671/jataed.v1i2.46.

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The advent of smart technology has significantly revolutionized home appliance management, with notable advancements including the development of smart air humidifiers. This paper delves into the design, implementation, and performance evaluation of an advanced air humidifier specifically engineered for air-conditioned environments, emphasizing its integration with mobile phone technology. The innovative device incorporates the NodeMCU ESP8266 microcontroller, which facilitates Wi-Fi connectivity, and the DHT22 sensor, known for its precise temperature and humidity measurements. Key features o
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Wang, Yan, Xiang Li, Bin Qi, Shuo Li, and Yongshuai Gao. "A Track-before-Detect Strategy for Multi-sensor Passive Acoustic Localization." Journal of Physics: Conference Series 2486, no. 1 (2023): 012096. http://dx.doi.org/10.1088/1742-6596/2486/1/012096.

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Abstract This paper focuses on the multi-sensor passive acoustic localization problem. The traditional solution for the problem is to estimate the parameter of the received signal, such as the time difference of arrival (TDOA). Then the position of the target is solved by the estimated parameter. This solution is suboptimal because estimations are carried out at each sensor separately, and the fact that the received signals of different sensors originate from the same target is ignored. In this paper, we propose a track-before-detect (TBD) method. The proposed method adopts a particle filter t
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Wahyuni, Retno Tri, Abdur Rahman Haritsah, Heri Subagiyo, and Edi Rahmanto. "Rancang Bangun Sensor Node untuk Monitoring Parameter Cuaca dan PM2.5 Menggunakan Arduino WiFi." Jurnal Elektro dan Mesin Terapan (ELEMENTER), Vol. 7 No. 2 (2021) (November 30, 2021): 7–17. http://dx.doi.org/10.35143/elementer.v7i2.5162.

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The node sensor for monitoring weather parameters and PM2.5 consists of weather parameter sensors, such as temperature, humidity, sun radiation intensity, rainfall, wind speed and wind direction. In addition, there are air quality parameters contains, namely pm2.5 sensors. Data processing and delivery is carried out by Arduino Uno WiFi which is a microcontroller device that has been integrated with ESP8226 which is a module to connect with WiFi networks. Sensor data is sent from Arduino to the data base server to be displayed on the website. The test results of each sensor compared to BMKG dat
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Jia, Qihan, Shuai Liu, and Haibo Wang. "Polyurethane-Encapsulated Biomass Films Based on MXene@Loofah Sponge for Piezoresistive Pressure Sensor Applications." Polymers 16, no. 10 (2024): 1377. http://dx.doi.org/10.3390/polym16101377.

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Multifunctional wearable electronic sensors exhibit significant potential for applications in health management, motion tracking, intelligent healthcare, etc. In this study, we developed a novel assembly method for a polymeric silver nanowire (Ag NW)/transition metal carbide/nitride (MXene) @Loofah device using a facile solution dip-coating technique. During the pretreatment phase, the loofah was conditioned with polydiallyldimethylammonium chloride (PDAC), promoting the self-assembly of MXene layers and bolstering device stability. Then, the Ag NWs/MXene@Loofah was packaged with polyurethane
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Čulík, Kristián, Vladimíra Čulíková, Lucia Švábová, Marek Ďurica, and Alica Kalašová. "Deviations in Traffic Flow Characteristics Caused by the Impact of the Covid-19 Pandemic." Transport technic and technology 19, no. 1 (2023): 26–29. http://dx.doi.org/10.2478/ttt-2023-0005.

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Abstract Changes in traffic flows in cities occur over time due to several circumstances. Regulation and proper coordination of transport is conditioned by sufficient input data. The sensor network ranks among the resources that provide an overview of operation in road traffic. The city of Žilina was chosen to support the building of a sensory network with applied research of available data with subsequent use in practice. The sensor network offers a database for the subsequent evaluation of inputs from several points of view. The COVID-19 pandemic was associated with restrictions and many blo
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Dissertations / Theses on the topic "Conditioned sensor"

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Liu, Peng. "Joint Estimation and Calibration for Motion Sensor." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286839.

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In the thesis, a calibration method for positions of each accelerometer in an Inertial Sensor Array (IMU) sensor array is designed and implemented. In order to model the motion of the sensor array in the real world, we build up a state space model. Based on the model we use, the problem is to estimate the parameters within the state space model. In this thesis, this problem is solved using Maximum Likelihood (ML) framework and two methods are implemented and analyzed. One is based on Expectation Maximization (EM) and the other is to optimize the cost function directly using Gradient Descent (G
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Martín, del Campo Barraza Sergio. "Towards autonomous condition monitoring sensor systems." Licentiate thesis, Luleå tekniska universitet, EISLAB, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-25706.

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Rolling element bearings are used to carry load and reduce friction between moving parts in rotating machines, which play a central role in society and industry, for example in the transportation and energy sectors. It is essential to monitor and maintain the condition of bearings such that machines can operate efficiently and any failures resulting in unplanned stoppages are avoided. Therefore, bearings with embedded sensing capabilities are becoming increasingly common, which makes it possible to consider bearings to be sensor systems that can monitor the condition of rotating machines. Howe
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Dandino, Charles M. "Condition Monitoring Sensor for Reinforced Elastomeric Materials." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1352485050.

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Tavassoli, Teresa. "Sensory perception in autism spectrum conditions." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610035.

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Billington, Scott Alexander. "Sensor and machine condition effects in roller bearing diagnostics." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/17796.

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Unger, Thomas. "Intelligent multi-sensor nodes for application in condition monitoring." Thesis, Southampton Solent University, 2000. http://ssudl.solent.ac.uk/1210/.

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This thesis describes how system parameters in a manufacturing environment can be used to make judgements about the condition of the monitored machines. The two main areas of research described are firstly how the machine parameters are measured and processes and can then be used as variables to assess the condition of the machines. Secondly how to present this imformation to the machine operators and engineers who maintain these machines, in order to help them make decisions about the state of health of the equipment they are responsible for. The research is concerned with an investigation in
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Cheung, Chun Kau. "Small Wind Turbine Blade Sensor for Condition Based Maintenance." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/628.

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Wind Energy is a fast growing industry. However, wind turbines are expensive to build, so they need proper maintenance to prolong service life. Since blades are the most important components in the wind turbine, this project prototyped a low cost sensing system to monitor blades' health. The sensor board uses Atmel microcontrollers to monitor the blade's vibration frequency by sampling a data set of 128 acceleration measurements. An integer version of Fast Fourier Transform is used to process those data. The result is then sent via radio wirelessly to a receiver for future processing. Through
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Hörschmeyer, Felix. "Development of a wireless sensor system for the characterization of energy harvesting conditions." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-28887.

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This report deals with the development of a wireless sensor system that measures the environmental energy and predicts if energy harvesting could be possible in different areas. It provides an overview over the hardware used to build this system and gives a detailed description of the software implementation of the system. The hardware part presents the microcontroller and platform that is used, as well as the sensors integrated in the system. The software part explains how the used hardware was put together in a program that controls the different components. It explains the possibility to sa
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Bogias, Alexander. "A wireless 802.11 condition monitoring sensor for electrical substation environments." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/38202/.

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The work reported in this thesis is concerned with the design, development and testing of a wireless 802.11 condition monitoring sensor for an electrical substation environments. The work includes a comprehensive literature review and the design and development of a novel continuous wireless data acquisition sensor. Laboratory and field tests were performed to evaluate the data acquisition performance of the developed wireless sensor. The sensor‟s wireless immunity to interference performance was also evaluated in laboratory and field tests. The literature survey reviews current condition moni
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Philipp, François. "Runtime Hardware Reconfiguration in Wireless Sensor Networks for Condition Monitoring." Phd thesis, Universitäts- und Landesbibliothek Darmstadt, 2014. https://tuprints.ulb.tu-darmstadt.de/4159/7/diss.pdf.

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The integration of miniaturized heterogeneous electronic components has enabled the deployment of tiny sensing platforms empowered by wireless connectivity known as wireless sensor networks. Thanks to an optimized duty-cycled activity, the energy consumption of these battery-powered devices can be reduced to a level where several years of operation is possible. However, the processing capability of currently available wireless sensor nodes does not scale well with the observation of phenomena requiring a high sampling resolution. The large amount of data generated by the sensors cannot be ha
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Books on the topic "Conditioned sensor"

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Air Resources Laboratory (U.S.), ed. Combining conditioned laser altimeter data and GPS altitude data to obtain accurate aircraft sensor height measurements. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Ocean and Atmospheric Research Laboratories, Air Resources Laboratory, 2003.

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FEDERAL AVIATION ADMINISTRATION. Runway surface condition sensor: Specification guide. U.S. Dept. of Transportation, Federal Aviation Administration, 1991.

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Gray, Rich. The frugal senior. Quill Driver Books, 2005.

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Hoffer, Peter Charles. Sensory worlds in early America. Johns Hopkins University Press, 2006.

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Campos, Roberto de Oliveira. Antologia do bom senso: Ensaios. Topbooks, Bolsa de Mercadorias & Futuros, 1996.

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Gueye, Kilap. La panchina, ovvero ha senso emigrare? Aipsa, 2008.

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Institute, Asian American/Asian Research. Well-being of Asian American senior citizens: Proceedings of the AAARI conference on Asian senior citizens. Asian American/Asian Research Institute, 2007.

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Conway, Anne. Environmental history of Douglas Canyon: A senior thesis. Huxley College of Environmental Studies, Western Washington University, 1997.

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B, Stankov B., and Wave Propagation Laboratory, eds. Remote sensor observations during WISP90: The use of microwave radiometers, RASS, and ceilometers for detection of aircraft icing conditions. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1990.

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Alesina, Alberto. Senso non comune: L'economia oltre i pregiudizi. EGEA, 2002.

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Book chapters on the topic "Conditioned sensor"

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Asim, Duha Binte, and Nadeem Javaid. "Enhanced energy conditioned mean square error algorithm for wireless sensor networks." In Advances on Broad-Band Wireless Computing, Communication and Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49106-6_23.

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Jiménez, Felipe, and Juan Ruiz. "Automatic Sight Distance Estimation for Overtaking Maneuvers." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_22.

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AbstractNew assistance systems, as a preliminary step towards automated driving, require a complete knowledge of the environment. To do this, perception sensors are used, but positioning on digital maps is also a valuable tool as a secondary sensor. In this sense, digital maps must contain increasingly greater precision and detail. A variable that is not usually included is the sight distance, which is conditioned by static and dynamic elements. This paper presents a method for its estimation considering the road geometry and other elements that can interfere with driver or sensors vision such
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Minasny, B., and A. B. McBratney. "Conditioned Latin Hypercube Sampling for Calibrating Soil Sensor Data to Soil Properties." In Proximal Soil Sensing. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8859-8_9.

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Grelland, Roy, Henrik Jakobsen, and Bent Liverød. "A low cost, fully signal conditioned pressure sensor microsystem with excellent media compatibility." In Advanced Microsystems for Automotive Applications 99. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03838-3_11.

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Al-Habaibeh, Amin, Bubaker Shakmak, Ampea Boateng, and Hyunjoo Lee. "Towards an Effective Artificial Intelligence Systems for Condition Monitoring of Off-Shore Wind Turbines: The Application of Sensor Fusion." In Springer Proceedings in Energy. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30960-1_2.

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AbstractIn the face of increasing energy demand and the upsurge in the recent energy prices post Covid-19 pandemic, scientists and technologists around the world are working to develop more efficient renewable energy alternatives. Among such technologies, wind turbines play an important role as a very mature clean energy technology. But minimising maintenance costs and downtime is critical for off-shore wind turbines; and researchers around the world are trying to develop comprehensive online and real time monitoring systems to monitor the health of wind turbines to advance condition-based mai
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Del Dottore, Emanuela, Alessio Mondini, Davide Bray, and Barbara Mazzolai. "Miniature Soil Moisture Sensors for a Root-Inspired Burrowing Growing Robot." In Biomimetic and Biohybrid Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38857-6_15.

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AbstractThis paper shows the implementation of miniature sensors for soil moisture measurement and their integration in a root-inspired burrowing growing robot. Three kinds of sensors are combined to estimate the water content in soil: a resistivity sensor composed of two brass electrodes, a commercial air humidity sensor interfaced with the soil by a filter membrane of PTFE with polyester scrim, and an RGB sensor used for visible reflectance spectroscopy. We show their integration and embeddability in a burrowing growing robot based on additive manufacturing with a 4 cm probe diameter. The mu
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Raska, Michael. "Reimagining Defense Innovation: Defense AI in Singapore." In Contributions to Security and Defence Studies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-58649-1_25.

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AbstractThis chapter explores conceptual, organizational, and technological development of AI in Singapore’s defense and military innovation paths and patterns. It argues that Singapore’s thinking about defense AI is driven through broader technological innovation and defense management imperatives, not only in meeting the Singapore Armed Forces future operational requirements but perhaps more importantly, sustainment of these technologies and capabilities in synergistic applications within Singapore’s civil-military innovation ecosystem. In the process, the development of AI in defense is con
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Seitz, Andreas, Florian Liebgott, Dominik Rotter, Daniel Kessler, and Hans-Peter Beise. "Enabling Single-Sensor Simultaneous Condition Monitoring of Several Vibration-Emitting Machine Parts Using Neural Networks." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_17.

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AbstractIn production environments, monitoring the vibration of a machine or parts thereof can yield important information about the condition of the machine. The most common recommendation for vibration-based condition monitoring is to place a vibration sensor on each part of interest. These vibration sensors usually output preprocessed data, for example the root mean square value of a predefined time window.We propose to use machine learning to simultaneously monitor several vibration-emitting machine parts using only one single vibration sensor. Due to the superposition of multiple vibratio
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Weiner, Irving B., Liat Appel, and Shira Tibon-Czopp. "Traumatic Stress Condition." In Rorschach Assessment of Senior Adults. Routledge, 2019. http://dx.doi.org/10.4324/9780429282171-14.

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Soldevila, Adrià, Joaquim Blesa, Sebastian Tornil-Sin, Rosa M. Fernandez-Canti, and Vicenç Puig. "Sensor Placement for Classifier-Based Leak Localization in Water Distribution Networks." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55944-5_11.

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Conference papers on the topic "Conditioned sensor"

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Garosshen, Thomas J., and Tapas K. Mukherji. "On the Correlation of Bimetallic Corrosion Sensor Output to Actual Corrosion Damage." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00266.

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Abstract Corrosion sensors offer the opportunity to switch from calendar-based to conditioned-based maintenance schedules and thereby significantly reduce the cost of aircraft ownership. This paper presents an evaluation of a corrosion sensor in regards to the correlation of its output to real world corrosion damage, and its sensitivity and durability. The corrosion behavior of several aerospace aluminum alloys was compared to sensor output. Specimens/sensors were exposed in laboratory prohesion tests. The results of weight loss measurements are presented along with the results of experiments
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Agarwala, Vinod S. "In-Situ Corrosivity Monitoring of Military Hardware Environments." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96632.

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Abstract A method to monitor corrosive conditions (environments) for military equipment was developed. The concept is based on the electrochemical principles of galvanic corrosion. It consisted of a novel thin film device (interdigitized bimetallic strips on a kapton polymer) which was galvanically coupled or short circuited through a zero resistance ammeter (ZRA) and interfaced to a custom design data acquisition system called Corrosion Monitoring System (CMS). The sensor’s unique design allowed the use of any metal as the active element or anode to form the galvanic couple, which enhanced se
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Goenawan, Stephanus Ivan. "Non-Linear Sensor Measurement Technique Using Ivan Newton Interpolation (INI)." In INTERNATIONAL CONFERENCE ON APPLIED TECHNOLOGY 2024. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-ogg7xf.

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This research is an invention of a non-linear sensor measurement process with a non-linear interpolation technique using a method with the Goen constant equation. This invention is not a linearization technique, so a comparison signal technique is not needed from the output of the non-linear sensor. Therefore, the advantage of this technique without a comparison signal is that it is more responsive. In addition, the costs incurred are cheaper because if the non-linear sensor uses a linearization technique, it will require additional electronic devices to support the use of the comparison signa
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Hurley, Michael F., Arvin Cunningham, Drew Lysne, Sanjeev Acharya, Brian J. Jaques, and Darryl P. Butt. "A Condition Monitor for Atmospheric Induced Stress Corrosion Cracking." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-11634.

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Abstract A sacrificial sensor has been designed to detect the occurrence and rate of atmospheric corrosion and stress corrosion cracking. The sensor fixture was constructed using additive manufacturing and can be customized for use with small size wires or ribbons of any metallic material as a sensor electrode. Resistance change was used to monitor the degradation of arrays of small samples subjected to various stress and environmental conditions. Typical passive atmospheric corrosion sensors do not account for applied stress, or if they do, use statically loaded electrodes and stress relaxati
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Brossia, C. Sean, and Darrell S. Dunn. "Condition Based Coating Degradation Sensor." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02161.

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Abstract Atmospheric corrosion of steels, aluminum alloys, and Al-clad aluminum alloys is a problem for commercial and military vehicles and aircraft. Paints and other coatings are usually the primary means to prevent the corrosion of automobiles, trucks, and aircraft. Under ideal conditions, the coating provides a continuous layer that is impervious to moisture. At present, maintenance cycles for commercial and military aircraft and ground vehicles is based on experience and appearance rather than a quantitative determination of coating integrity. To improve the maintenance process and reduce
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Schmitt, G., R. Feser, C. Kapsalis, K. Steinkamp, and B. Sagebiel. "CuNi Alloys in Chlorinated Substitute Ocean Water." In CORROSION 2010. NACE International, 2010. https://doi.org/10.5006/c2010-10387.

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Abstract Six weeks exposure tests were run with CuNi 70 30 (C71500) and CuNi 90 10 (70600) tubes in a flow loop with artificial ASTM seawater (pH 8.2; flow rate 0.5 m/s) at room temperature and 40°C in the absence and presence of 1 ppm hydrogen sulfide. The effect of hypochlorite addition (0.5; 1.0; 3.0 ppm; sensor controlled) was investigated on tube surfaces i) in the as-received surface condition, ii) after conditioning with additive-free artificial seawater and iii) after conditioning with artificial seawater containing 1 ppm bisulfide. The conditioning was performed for 6 weeks at room te
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Caseres, Leonardo, and Marta A. Jakab. "Field Deployment of Wireless Sensors to Monitor Coating Degradation and Environmental Corrosivity." In CORROSION 2010. NACE International, 2010. https://doi.org/10.5006/c2010-10175.

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Abstract Impedance based coating degradation, wetness, and cumulative damage sensors were deployed in several US Marine Corps bases. The sensors were placed inside dehumidified storage buildings and on ground vehicles stored outdoors to monitor the performance of corrosion preventive compounds (CPCs), and the severity of the environment as a function of time. The sensors were able to record coating integrity information real-time, and transmit this information remotely from a set of readers and base stations to a web-based portal for convenient monitoring and analysis. The sensor data were in
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Sun, Xiaodong. "Online Monitoring of Corrosion under Cathodic Protection Conditions Utilizing Coupled Multielectrode Sensors." In CORROSION 2004. NACE International, 2004. https://doi.org/10.5006/c2004-04094.

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Abstract Real-time corrosion monitoring for carbon steel materials in simulated seawater under cathodic protection conditions was conducted, utilizing coupled multielectrode sensors. It was demonstrated that the coupled multielectrode sensor is an effective real-time tool for monitoring the effectiveness of cathodic protection and for measurement of the threshold value of the protection potential for specific equipment.
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Reiner, L., and B. Bavarian. "Thin Film Sensors in Corrosion Applications." In CORROSION 2007. NACE International, 2007. https://doi.org/10.5006/c2007-07388.

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Abstract Sensors today are smart, rugged and can accurately measure a wide range of elements and physical parameters. Devices can be integrated and microengineered onto a chip offering high functionality, accuracy and good reliability. By combining CMOS and sensor technologies, a small wireless sensor can deliver broad based corrosion monitoring in crucial applications. Corrosion sensors have been used to detect coating defects and monitor coating degradation. Robustness and longevity were evaluated in various environments to simulate typical usage and storage conditions. Preliminary assessmen
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Distante, Cosimo, Pierluigi Carcagni, Andouglas Gonçalves da Silva Júnior, and Luiz Marcos Garcia Gonçalves. "EREMITE: A marinE infRastructurE to MonItor the sTate of the sEas." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/dh.2024.tu5b.2.

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EREMITE is a low-cost and open multi-sensory system that monitors and digitises our coastal marine ecosystems to understand their state, ecological health and functioning, with the concept of any sensor, anytime, anywhere. It is made of an optical multi-sensing system onboard an autonomous sailboat that perceives and reasons about underwater abiotic and biotic conditions of our critical natural resources. Besides standard water quality parameters acquired with COTS optical sensors, the drone implements a digital holographic microscope, able to detect in real-time micro-plastics and diatoms. Th
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Reports on the topic "Conditioned sensor"

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Parker, Michael, Alex Stott, Brian Quinn, Bruce Elder, Tate Meehan, and Sally Shoop. Joint Chilean and US mobility testing in extreme environments. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42362.

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Vehicle mobility in cold and challenging terrains is of interest to both the US and Chilean Armies. Mobility in winter conditions is highly vehicle dependent with autonomous vehicles experiencing additional challenges over manned vehicles. They lack the ability to make informed decisions based on what they are “seeing” and instead need to rely on input from sensors on the vehicle, or from Unmanned Aerial Systems (UAS) or satellite data collections. This work focuses on onboard vehicle Controller Area Network (CAN) Bus sensors, driver input sensors, and some externally mounted sensors to assist
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Guo, Ge, Jiageng Liu, and Guangheng Liu. Multi-sensor Fusion-based Vehicle Localization. SAE International, 2024. http://dx.doi.org/10.4271/epr2024023.

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<div class="section abstract"><div class="htmlview paragraph">Multi-sensor fusion (MSF) is believed to be a promising tool for vehicular localization in urban environments. Due to the differences in principles and performance of various onboard vehicle sensors, MSF inevitably suffers from heterogeneous sources and vulnerability to cyber-attacks. Therefore, an essential requirement of MSF is the capability of providing a consumer-grade solution that operates in real-time, is accurate, and immune to abnormal conditions with guaranteed performance and quality of service for location-b
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Bendikov, Michael, and Thomas C. Harmon. Development of Agricultural Sensors Based on Conductive Polymers. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7591738.bard.

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In this 1-year feasibility study, we tried polymerization of several different monomers, commercial as well as novel, specially designed and synthesized for this project in the presence of the nitrate ion to produce imprinted conductive polymers. Polymers 1 and 2 (shown below) produced a response to nitrate, but one inferior to that produced by a polypyrrole (Ppy)-based sensor (which we demonstrated prior to this study). Thus, we elected to proceed with improving the stability of the Ppy-based sensor. In order to improve stability of the Ppy-based sensor, we created a two-layer design which in
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Dahal, Sachindra, and Jeffery Roesler. Passive Sensing of Electromagnetic Signature of Roadway Material for Lateral Positioning of Vehicle. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-039.

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Autonomous vehicles (AV) and advanced driver-assistance systems (ADAS) offer multiple safety benefits for drivers and road agencies. However, maintaining the lateral position of an AV or a vehicle with ADAS within a lane is a challenge, especially in adverse weather conditions when lane markings are occluded. For significant penetration of AV without compromising safety, vehicle-to-infrastructure sensing capabilities are necessary, especially during severe weather conditions. This research proposes a method to create a continuous electromagnetic (EM) signature on the roadway, using materials c
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Claus, Ana, Borzooye Jafarizadeh, Azmal Huda Chowdhury, Neziah Pala, and Chunlei Wang. Testbed for Pressure Sensors. Florida International University, 2021. http://dx.doi.org/10.25148/mmeurs.009771.

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Currently, several studies and experiments are being done to create a new generation of ultra-low-power wearable sensors. For instance, our group is currently working towards the development of a high-performance flexible pressure sensor. However, with the creation of new sensors, a need for a standard test method is necessary. Therefore, we opted to create a standardized testbed to evaluate the pressure applied to sensors. A pulse wave is generated when the heart pumps blood causing a change in the volume of the blood vessel. In order to eliminate the need of human subjects when testing press
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Tzonev, Nick. PR-396-183905-R01 Autonomous System For Monitoring Pipeline River Crossings. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012110.

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The goal of the GHZ-2-01 Project is to develop and lab-test a system for monitoring underground pipeline facilities at remote river crossings where access to power and wireline communications is not readily available. A next generation real-time river crossing monitoring solution requires an integration of various sensor types, data computation capabilities, and low power wireless connectivity which would: - utilize proven sensors technologies such as accelerometers, inclinometer strings and float-out buoys to detect dangerous conditions, - be able to recognize and minimize false alarms by exa
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Kuznetsov, Victor, Vladislav Litvinenko, Egor Bykov, and Vadim Lukin. A program for determining the area of the object entering the IR sensor grid, as well as determining the dynamic characteristics. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/bykov.0415.15042021.

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Currently, to evaluate the dynamic characteristics of objects, quite a large number of devices are used in the form of chronographs, which consist of various optical, thermal and laser sensors. Among the problems of these devices, the following can be distinguished: the lack of recording of the received data; the inaccessibility of taking into account the trajectory of the object flying in the sensor area, as well as taking into consideration the trajectory of the object during the approach to the device frame. The signal received from the infrared sensors is recorded in a separate document in
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Price, Donald. SM-403-148100-R01 Mineral Wells 2012 RAM Gas and Oil Leak Detection Field Study Results. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010851.

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In June 2012, the RAM Program conducted a comprehensive field study to evaluate the performance of current off the shelf sensor technologies for detecting gas and oil leaks on pipelines. This study had three key objectives: 1. Evaluate the capabilities of current technologies that are offered commercially for methane leak detection monitoring using standard pipeline patrol aircraft 2. Provide a test location for development of emerging technologies that are not yet commercially available for pipeline leak detection 3. Assess the feasibility of using airborne sensors to detect staged liquid oil
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Hodgdon, Taylor, Anthony Fuentes, Jason Olivier, Brian Quinn, and Sally Shoop. Automated terrain classification for vehicle mobility in off-road conditions. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40219.

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The U.S. Army is increasingly interested in autonomous vehicle operations, including off-road autonomous ground maneuver. Unlike on-road, off-road terrain can vary drastically, especially with the effects of seasonality. As such, vehicles operating in off-road environments need to be in-formed about the changing terrain prior to departure or en route for successful maneuver to the mission end point. The purpose of this report is to assess machine learning algorithms used on various remotely sensed datasets to see which combinations are useful for identifying different terrain. The study collec
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Huang, Haiying, Ankur Jain, Jian Luo, Franck Mbanya Tchafa, Jun Yao, and Jiuyuan Nie. Distributed Wireless Antenna Sensors for Boiler Condition Monitoring. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1503678.

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