Relevant bibliographies by topics / Sensor

Academic literature on the topic 'Sensor'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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Journal articles on the topic "Sensor"

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Yu, Jerry. "Deflation-activated receptors, not classical inflation-activated receptors, mediate the Hering-Breuer deflation reflex." Journal of Applied Physiology 121, no. 5 (November 1, 2016): 1041–46. http://dx.doi.org/10.1152/japplphysiol.00903.2015.

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Many airway sensory units respond to both lung inflation and deflation. Whether those responses to opposite stimuli come from one sensor (one-sensor theory) or more than one sensor (multiple-sensor theory) is debatable. One-sensor theory is commonly presumed in the literature. This article proposes a multiple-sensor theory in which a sensory unit contains different sensors for sensing different forces. Two major types of mechanical sensors operate in the lung: inflation- and deflation-activated receptors (DARs). Inflation-activated sensors can be further divided into slowly adapting receptors (SARs) and rapidly adapting receptors (RARs). Many SAR and RAR units also respond to lung deflation because they contain DARs. Pure DARs, which respond to lung deflation only, are rare in large animals but are easily identified in small animals. Lung deflation-induced reflex effects previously attributed to RARs should be assigned to DARs (including pure DARs and DARs associated with SARs and RARs) if the multiple-sensor theory is accepted. Thus, based on the information, it is proposed that activation of DARs can attenuate lung deflation, shorten expiratory time, increase respiratory rate, evoke inspiration, and cause airway secretion and dyspnea.
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Abbas, Jabbar, Amin Al-Habaibeh, and Dai Zhong Su. "Sensor Fusion for Condition Monitoring System of End Milling Operations." Key Engineering Materials 450 (November 2010): 267–70. http://dx.doi.org/10.4028/www.scientific.net/kem.450.267.

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This paper describes the utilisation of multi sensor fusion model using force, vibration, acoustic emission, strain and sound sensors for monitoring tool wear in end milling operations. The paper applies the ASPS approach (Automated Sensor and Signal Processing Selection) method for signal processing and sensor selection [1]. The sensory signals were processed using different signal processing methods to create a wide range of Sensory Characteristic Features (SCFs). The sensitivity of these SCFs to tool wear is investigated. The results indicate that the sensor fusion system is capable of detecting machining faults in comparison to a single sensor using the suggested approach.
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Guo, Yixuan, and Gaoyang Liang. "Perceptual Feedback Mechanism Sensor Technology in e-Commerce IoT Application Research." Journal of Sensors 2021 (September 28, 2021): 1–12. http://dx.doi.org/10.1155/2021/3840103.

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With the development of sensor technology and the Internet of Things (IoT) technology, the trend of miniaturization of sensors has prompted the inclusion of more sensors in IoT, and the perceptual feedback mechanism among these sensors has become particularly important, thus promoting the development of multiple sensor data fusion technologies. This paper deeply analyzes and summarizes the characteristics of sensory data and the new problems faced by the processing of sensory data under the new trend of IoT, deeply studies the acquisition, storage, and query of sensory data from the sensors of IoT in e-commerce, and proposes a ubiquitous storage method for massive sensory data by combining the sensory feedback mechanism of sensors, which makes full use of the storage resources of IoT storage network elements and maximally meets the massive. In this paper, we propose a ubiquitous storage method for massive sensing data, which makes full use of the storage resources of IoT storage network elements to maximize the storage requirements of massive sensing data and achieve load-balanced data storage. In this paper, starting from the overall development of IoT in recent years, the weak link of intelligent information processing is reinforced based on the sensory feedback mechanism of sensor technology.
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Hasegawa, Hiroaki, Yosuke Suzuki, Aiguo Ming, Masatoshi Ishikawa, and Makoto Shimojo. "Robot Hand Whose Fingertip Covered with Net-Shape Proximity Sensor - Moving Object Tracking Using Proximity Sensing -." Journal of Robotics and Mechatronics 23, no. 3 (June 20, 2011): 328–37. http://dx.doi.org/10.20965/jrm.2011.p0328.

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Occlusion in several millimeters from an object to be grasped made it difficult for a vision-sensor-based approach to detect relative positioning between this object and robot fingers joint grasping. The proximity sensor we proposed detects the object at a near range very effectively. We developed a thin proximity sensor sheet to cover the 3 fingers of a robot hand. Integrating sensors and hand control, we implemented an objecttracking controller. Using proximity sensory signals, the controller coordinates wrist positioning based on palm proximity sensors and grasping from fingertip sensors, enabling us to track and capture moving objects.
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Suranthiran, Sugathevan, and Suhada Jayasuriya. "Signal Conditioning With Memory-Less Nonlinear Sensors." Journal of Dynamic Systems, Measurement, and Control 126, no. 2 (June 1, 2004): 284–93. http://dx.doi.org/10.1115/1.1766030.

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Proposed in this paper is an off-line signal conditioning scheme for memoryless nonlinear sensors. In most sensor designs, a linear input-output response is desired. However, nonlinearity is present in one form or another in almost all real sensors and therefore it is very difficult if not impossible to achieve a truly linear relationship. Often sensor nonlinearity is considered a disadvantage in sensory systems because it introduces distortion into the system. Due to the lack of efficient techniques to deal with the issues of sensor nonlinearity, primarily nonlinear sensors tend to be ignored. In this paper, it is shown that there are certain advantages of using nonlinear sensors and nonlinear distortion caused by sensor nonlinearity may be effectively compensated. A recursive algorithm utilizing certain characteristics of nonlinear sensor functions is proposed for the compensation of nonlinear distortion and sensor noise removal. A signal recovery algorithm that implements this idea is developed. Not having an accurate sensor model will result in errors and it is shown that the error can be minimized with a proper choice of a convergence accelerator whereby stability of the developed algorithm is established.
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Han, Yan. "The Building of Optical Fiber Network System Using Hetero-Core Fiber Optic Sensors." Advanced Materials Research 571 (September 2012): 342–46. http://dx.doi.org/10.4028/www.scientific.net/amr.571.342.

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We proposed a novel optical sensory nerve network using pulse switch sensors. The pulse switch sensor generates light loss similar to pulse signals only when ON/OFF states change. Therefore, it has less influence on communications quality compared with conventional switch sensor modules as sensor multiplicity increases. Our simulated results demonstrated that the proposed system can improve sensor multiplicity while maintaining the communications and measuring performance with the same quality as a conventional system by appropriately adjusting the initial loss of the pulse switch sensors. In particular, where ON/OFF time intervals follow exponential distributions with mean values of 5 and 300 s, respectively, the insertion loss of hetero-core segments inserted into pulse switch sensors is 0.3 dB, and the pulse switch sensors have curvature from 0.05 to 0.18. Under these conditions, our enhanced system can increase sensor multiplicity to 23 while maintaining link availability of almost 100%, a distinction error ratio of less than 1%, and a duplicated error ratio of about 0.5%.
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Jalil Piran, Mohammad, Amjad Ali, and Doug Young Suh. "Fuzzy-Based Sensor Fusion for Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/439272.

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In wireless sensor networks, sensor fusion is employed to integrate the acquired data from diverse sensors to provide a unified interpretation. The best and most salient advantage of sensor fusion is to obtain high-level information in both statistical and definitive aspects, which cannot be attained by a single sensor. In this paper, we propose a novel sensor fusion technique based on fuzzy theory for our earlier proposed Cognitive Radio-based Vehicular Ad Hoc and Sensor Networks (CR-VASNET). In the proposed technique, we considered four input sensor readings (antecedents) and one output (consequent). The employed mobile nodes in CR-VASNET are supposed to be equipped with diverse sensors, which cater to our antecedent variables, for example, The Jerk, Collision Intensity, and Temperature and Inclination Degree. Crash_Severity is considered as the consequent variable. The processing and fusion of the diverse sensory signals are carried out by fuzzy logic scenario. Accuracy and reliability of the proposed protocol, demonstrated by the simulation results, introduce it as an applicable system to be employed to reduce the causalities rate of the vehicles’ crashes.
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Chen, Tzung-Shi, Jen-Jee Chen, Xiang-You Gao, and Tzung-Cheng Chen. "Mobile Charging Strategy for Wireless Rechargeable Sensor Networks." Sensors 22, no. 1 (January 4, 2022): 359. http://dx.doi.org/10.3390/s22010359.

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In a wireless sensor network, the sensing and data transmission for sensors will cause energy depletion, which will lead to the inability to complete the tasks. To solve this problem, wireless rechargeable sensor networks (WRSNs) have been developed to extend the lifetime of the entire network. In WRSNs, a mobile charging robot (MR) is responsible for wireless charging each sensor battery and collecting sensory data from the sensor simultaneously. Thereby, MR needs to traverse along a designed path for all sensors in the WRSNs. In this paper, dual-side charging strategies are proposed for MR traversal planning, which minimize the MR traversal path length, energy consumption, and completion time. Based on MR dual-side charging, neighboring sensors in both sides of a designated path can be wirelessly charged by MR and sensory data sent to MR simultaneously. The constructed path is based on the power diagram according to the remaining power of sensors and distances among sensors in a WRSN. While the power diagram is built, charging strategies with dual-side charging capability are determined accordingly. In addition, a clustering-based approach is proposed to improve minimizing MR moving total distance, saving charging energy and total completion time in a round. Moreover, integrated strategies that apply a clustering-based approach on the dual-side charging strategies are presented in WRSNs. The simulation results show that, no matter with or without clustering, the performances of proposed strategies outperform the baseline strategies in three respects, energy saving, total distance reduced, and completion time reduced for MR in WSRNs.
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R, Keerthana, Lavanya S, Negaa Vaidheesvari M, Saranya B, and Yashini M. "Smart Walker Instrumentation Using Hand Gestures." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 3891–95. http://dx.doi.org/10.22214/ijraset.2023.49316.

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Abstract: The passive walker devices currently in use may steer or brake spontaneously, requiring the user to urge them ahead. This project creates a smart walker system with sensors and actuators for enhanced support and assistance. Here, the user controls the walker with hand gestures. Better physical support, sensory support, cognitive support, health monitoring, and human-machine interface are the key benefits. The method incorporates gyroscopes that measure the angles of hand movements and start the smart walker moving in the user's chosen directions. The temperature sensor, EMG sensor and gyroscope are used, to measure the health factors such as temperature, muscle activity and leg position angles and hand angles. Arduino is used as a control unit. It is mostly applied for the use of senior persons and people with lower limb disabilities during the rehabilitation stage.
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Yu, Jerry. "Spectrum of myelinated pulmonary afferents (III) cracking intermediate adapting receptors." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 319, no. 6 (December 1, 2020): R724—R732. http://dx.doi.org/10.1152/ajpregu.00136.2020.

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Conventional one-sensor theory (one afferent fiber connects to a single sensor) categorizes the bronchopulmonary mechanosensors into the rapidly adapting receptors (RARs), slowly adapting receptors (SARs), or intermediate adapting receptors (IARs). RARs and SARs are known to sense the rate and magnitude of mechanical change, respectively; however, there is no agreement on what IARs sense. Some investigators believe that the three types of sensors are actually one group with similar but different properties and IARs operate within that group. Other investigators (majority) believe IARs overlap with the RARs and SARs and can be classified within them according to their characteristics. Clearly, there is no consensus on IARs function. Recently, a multiple-sensor theory has been advanced in which a sensory unit may contain many heterogeneous sensors, such as both RARs and SARs. There are no IARs. Intermediate adapting unit behavior results from coexistence of RARs and SARs. Therefore, the unit can sense both rate and magnitude of changes. The purpose of this review is to provide evidence that the multiple-sensor theory better explains sensory unit behavior.
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Dissertations / Theses on the topic "Sensor"

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Doepke, Amos. "Development of electrochemical sensors and sensor systems." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337957955.

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Tománek, Jakub. "Multifunkční senzor." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-376937.

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The aim of the diploma thesis is to get acquainted with possibilities of realization of a multifunctional sensor for agricultural purposes. The theoretical work deals with the principles of measurement of environmental variables. Subsequently, sensors are selected which can measure the environmental variables. The thesis discusses the possibilities of wireless communication. Attention is paid to the communication modules of the DIGI® manufacturer. The main part describes the physical implementation of the multifunctional sensor. Here is a detailed breakdown of what components are selected for implementation with adherence to general implementation requirements. At the end of the work is described a program serving multifunctional sensor.
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Ward, Andrew Martin Robert. "Sensor-driven computing." Thesis, University of Cambridge, 1999. https://www.repository.cam.ac.uk/handle/1810/252816.

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A context-aware computing system is one that can deduce the state of its surroundings using input from sensors and can change its behaviour accordingly. Context-aware devices might personalise themselves to their current user, alter their functionality based on where they were being used, or take advantage of nearby computing and communications resources. Location-aware systems, whose behaviour is determined by the positions of objects in the environment, represent a practical subset of the context-aware computing paradigm, and several systems of this nature have already been demonstrated. The location sensors used by those systems, however, report the positions of objects to only a room-scale granularity, limiting the extent to which devices and applications can adapt to their surroundings. Sensor technologies that can provide more detailed information about the locations of objects must therefore be investigated. This dissertation describes a new ultrasonic location sensor, which may be deployed in indoor environments such as offices and homes. The sensor can provide fine-grain , three-dimensional position and orientation information, and its characteristics are well suited to the demands of location-aware computing- the sensor is simple, low-powered and unobtrusive. Furthermore, the location system is scalable, in both the number of objects that it can track and the volume within which they may be monitored. A thorough assessment of the sensor's performance is presented in the dissertation, so that location-aware applications can be tailored to its properties. Subsequently, a software architecture that can efficiently distribute finegrain location information to applications is described. The software system provides support for the types of query that will be made frequently by location-aware applications, such as those concerning the spatial relationships between objects and their proximity to one another. The dissertation concludes by examining the use of the ultrasonic location sensor and software architecture to implement a set of novel location-aware applications.
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Gong, Li. "Universal sensor interface chip solution for wireless sensors." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107738.

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In recent years wireless sensor network (WSN) is introduced in the fresh food tracking area as a promising solution to monitor the food transportation process. The widely applications of WSN are demanding a Universal Sensor Interface (USI) that is able to support large numbers of sensors, including gas sensors, force sensors, temperature sensors, water quality sensors, etc. In this thesis, the Universal Sensor Interface (USI) based on Programmable System on Chip (PSoC) from Cypress is presented and discussed. Multiple sensor interfaces are implemented in PSoC therefore a "sensor interface design library" is established. The dynamic reconfiguration, which is a key feature of USI, is also demonstrated. It allows USI to support multiple sensors in a time division fashion by in-circuit and run-time reconfiguration. Part of the sensor interfaces are tested and evaluated, proving both the hardware and software design. Finally the conclusion is made and future work is discussed as a guidance of the follow up work.
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Barro, Alessandro. "Indirect TPMS improvement: sensor fusion with ultrasound parking sensors." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23765/.

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Pre-feasibility analysis on the optimization of the performance of the indirect tyre pressure monitoring system through a sensor fusion with a new generation of ultrasound parking sensors: from the idea to the development of macro project specifications and macro business case, with definition of the possible new scenario in terms of performance, costs and perceived quality
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Abhinav, Abhinav. "Sensor Failure Mode Detection and Self-Validation." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227254283.

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Chaves, Andrea, Bruno Mayoral, Hyun-Jin Park, Mark Tsang, and Sean Tunell. "Wireless Sensor Networks: A Grocery Store Application." International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606223.

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ITC/USA 2008 Conference Proceedings / The Forty-Fourth Annual International Telemetering Conference and Technical Exhibition / October 27-30, 2008 / Town and Country Resort & Convention Center, San Diego, California
This paper explains the development of a wireless network system implemented to streamline grocery store checkout procedures. The design employs a wireless telemetry network consisting of a base station and wireless motes (Micaz MPR2400) that will be located on certain aisles, and attached to shopping carts. This system allows customers to scan items while they shop and uses cashiers for payment purposes only. The objective is to minimize the amount of processing performed by cashiers in order to reduce waiting times in line. The system was tested in a simulation environment and waiting times were reduced by 65%.
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Milica, Kisić. "Heterogeno integrisani pasivni induktivni senzori." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=102146&source=NDLTD&language=en.

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U disertaciji je prikazano teorijsko i praktično istraživanje koje se odnosi na projektovanje, fabrikaciju i karakterizaciju heterogeno integrisanih induktivnih senzora za mjerenje sile, pritiska i pomjeraja. Cilj istraživanja doktorske disertacije je kombinovanje različitih tehnologija izrade i materijala, kako bi se projektovali senzori koji će biti konkurentni aktuelnim rešenjima, i koji bi se mogli koristiti za konkretne primjene. U okviru istraživanja, heterogenom integracijom su kombinovane prednosti tehnologije štampanih ploča (Printed Circuit Board - PCB), fleksibilne tehnologije i tehnologije niskotemperaturne zajedno-pečene keramike (Low Temperature Co-fired Ceramics – LTCC). Razvijena su tri prototipa senzora za mjerenje sile, pritiska i pomjeraja korišćenjem struktura sa induktorom i feritom u njegovoj blizini. Mjerenje realizovanih prototipova senzora vrši se bežično pomoću spregnutog antenskog namotaja. Na osnovu početnih rezultata ispitivanja, senzori su modifikovani u cilju poboljšanja i optimizovanja performansi. Projektovani senzori omogućavaju bežično mjerenje, jeftini su, kompaktni i jednostavni. Na osnovu teorijske analize, simulacija, eksperimetnalnih mjerenja, ustanovljena je ispravnost rada i primjenljivost realizovanih senzora.
In doctoral thesis theoretical and practical investigation on design, fabrication and characterisation of heterogenous integrated inductive sensors for measuring force, pressure and displacement are shown. The aim of the thesis is to investige the usage of different technologies and materials in order to design sensors which will be competitive to actual solutions and usable for specific aplications. Using heterogenous integraton, advantages of Printed Circuit Board technology (PCB), flexible and Low Temperature Co-fired Ceramics (LTCC) technologies are used. Three sensor prototypes for measuring force, pressure and displacement are developed using inductor and ferrite in its near proximity. Measurements of the realised sensor prototypes are wirelessly done using an external surrounding coil as an antenna. Based on the initial measuring results, sensors are redesigned in order to improve and optimize their performance. Projected sensors are low-cost, compact, simple, and enable wireless measurement. The proper operation and applicability of realized sensors are confirmed using theoretical analysis, simulation and experimental testing with presented results.
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Damianakis, John. "Proximity sensor network for sensor-based manipulation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29588.pdf.

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Pavláček, Martin. "Mobilní robot Micromouse II." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229880.

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This thesis describes the design and implementation of mobile robot IEEE Micromouse category. The aim is to build a functional design of robot usable to testing methods of mapping and localization. The thesis also deals with the design of electronics for motion control. Electronic design of optical sensors operating on the principle of reflection of infrared light and the signal processing.
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Books on the topic "Sensor"

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Otmar, Loffeld, Society of Photo-optical Instrumentation Engineers., European Optical Society, and Commission of the European Communities. Directorate-General for Science, Research, and Development., eds. Sensors, sensor systems, and sensor data processing: June 16-17 1997, Munich, FRG. Bellingham, Wash., USA: SPIE, 1997.

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Mukhopadhyay, Subhas Chandra, and Henry Leung, eds. Advances in Wireless Sensors and Sensor Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12707-6.

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Mukhopadhyay, Subhas Chandra. Advances in Wireless Sensors and Sensor Networks. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Chai, Yang, and Fuyou Liao, eds. Near-sensor and In-sensor Computing. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11506-6.

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Inc, Technical Insights, ed. Sensor sourcebook: Guide to sensor developments worldwide. 3rd ed. Englewood, NJ: Technical Insights, 1999.

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Distributed sensor networks: Sensor networking and applications. 2nd ed. Boca Raton: Chapman & Hall/CRC, 2013.

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de Silva, Clarence W. Sensor Systems. Boca Raton : Taylor & Francis, CRC Press, 2017.: CRC Press, 2016. http://dx.doi.org/10.1201/9781315371160.

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Ahrens, Andreas, RangaRao Venkatesha Prasad, César Benavente-Peces, and Nirwan Ansari, eds. Sensor Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17718-7.

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Benavente-Peces, César, Nancy Cam-Winget, Eric Fleury, and Andreas Ahrens, eds. Sensor Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30110-1.

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McGrath, Michael J., and Cliodhna Ní Scanaill. Sensor Technologies. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6014-1.

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Book chapters on the topic "Sensor"

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Durrant-Whyte, Hugh F. "Sensors and Sensor Models." In The Kluwer International Series in Engineering and Computer Science, 65–97. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-2009-8_3.

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Su, Zhongqing, and Lin Ye. "Sensors and Sensor Networks." In Identification of Damage Using Lamb Waves, 99–142. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-784-4_4.

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Jeong, Wootae. "Sensors and Sensor Networks." In Springer Handbook of Automation, 333–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-78831-7_20.

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Gölz, Jacqueline, and Christian Hatzfeld. "Sensor Design." In Springer Series on Touch and Haptic Systems, 431–516. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04536-3_10.

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AbstractMultiple sensors are applied in haptic devices designs. Even if they are not closed-loop controlled in a narrow sense of force or torque generation, they are used to detect movement ranges and limits or the detection of the presence of a user and its type of interaction with an object or human-machine-interface (HMI). Almost any type of technical sensor had been applied in the context of haptic devices. The emerging market of gesture based user interaction and integration of haptics due to ergonomic reasons extends the range of sensors potentially relevant for haptic devices. However, what exactly is a sensor? Which is the right one for your purpose and is there a systematic way to choose it? To support you answering these fundamental questions, classification of sensors is helpful. This chapter starts with a definition and classifications according to measurand and sensing principles. Constraints, you will have to focus on, are discussed and selection criteria are deduced. An introduction in technologies and design principles for mechanical sensors serves as an overview for your selection process. Common types of force/torque, positioning, velocity and acceleration sensors are presented. Furthermore, imaging and temperature sensors are addressed briefly in this section.
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Guenthner, Stefan, Bernhard Schmid, and Alexander Kolbe. "From Sensors to Sensor Systems." In Advanced Microsystems for Automotive Applications 2010, 279–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16362-3_27.

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Faisal Haider, M., Amrita Kumar, Irene Li, and Fu-Kuo Chang. "Sensors, Sensor Network, and SHM." In Handbook of Nondestructive Evaluation 4.0, 1–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-48200-8_58-1.

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Faisal Haider, M., Amrita Kumar, Irene Li, and Fu-Kuo Chang. "Sensors, Sensor Network, and SHM." In Handbook of Nondestructive Evaluation 4.0, 569–602. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-73206-6_58.

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Subramanian, Rajesh. "Additional Sensors and Sensor Fusion." In Build Autonomous Mobile Robot from Scratch using ROS, 457–96. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9645-5_9.

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Patel, Himanshu K. "Sensor." In Biological and Medical Physics, Biomedical Engineering, 27–66. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1548-6_2.

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Ikeuchi, Katsushi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, and Daisuke Miyazaki. "Sensor." In Active Lighting and Its Application for Computer Vision, 63–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56577-0_3.

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Conference papers on the topic "Sensor"

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Licht, Torsten, and Abhijit Deshmukh. "Hierarchically Organized Bayesian Networks for Distributed Sensor Networks." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33217.

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As sensor hardware becomes more sophisticated, smaller in size and increasingly affordable, use of large scale sensor networks is bound to become a reality in several application domains, such as vehicle condition monitoring, environmental sensing and security assessment. The ability to incorporate communication and decision capabilities in individual or groups of sensors, opens new opportunities for distributed sensor networks to monitor complex engineering systems. In such large scale sensor networks, the ability to integrate observations or inferences made by distributed sensors into a single hypothesis about the state of the system is critical. This paper addresses the sensor integration issue in hierarchically organized sensor networks. We propose a multi-agent architecture for distributed sensor networks. We present a new formalism to represent causal relations and prior beliefs of hierarchies of sensors, called Hierarchically Organized Bayesian Networks (HOBN), which is a semantic extension of Multiply Sectioned Bayesian Networks (MSBN). This formalism allows a sensor to reason about the integrity of a sensed signal or the integrity of neighboring sensors. Furthermore, we can also evaluate the consistency of local observations with respect to the knowledge of the system gathered up to that point.
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Sohal, Shubhdildeep S., and Pinhas Ben-Tzvi. "Sensor Based Target Tracking With Application to Autonomous Docking and Self-Reconfigurability." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22181.

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Abstract This paper presents a target detection technique, which combines a supervised learning model with sensor data to eliminate false positives for a given input image frame. Such a technique aids with selective docking procedures where multiple robots are present in the environment. Hence the sensor data provides additional information for this decision making process. Senor accuracy plays a crucial role when the motion of the robot is defined by the use of data recorded by its sensors. The uncertainties in the sensory data can cause misalignments due to poor calibration of the sensor, which can result in poor positioning of the robot relative to its target. Such misalignments can play a significant role where certain accuracy is desired. Therefore, it is necessary to minimize such misalignments to achieve certainty for the robot interaction with its target. The work proposed in this paper allows achieving such accuracy using a vision-based approach by eliminating all false occurrences leading to selective interactions with the target. The proposed methodology is validated using a self-reconfigurable mobile robot capable of hybrid Wheeled-Tracked mobility, as an application towards autonomous docking of mobile robotic modules.
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Hill, Jonathan, Hilary Bart-Smith, C. Barbier, and J. A. C. Humphrey. "Investigation of a Bioinspired Whisker-Like Fluid Motion Sensor." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14508.

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Sensors and sensing technologies to obtain flow information at near real time for the control of new underwater morphing structure applications are being investigated. Inspiration for a new type of fluid motion sensor finds its origin in the vibrissae (whiskers) of seals. Recent research has shown the remarkable sensitivity and specificity of these biological sensors to detect hydrodynamic trails left by potential prey. The impressive sensory performance characteristics of seal whiskers suggest the developmental potential for corresponding synthetic fluid motion sensors. An analytical study of the dynamic response of a synthetic whisker-like beam has been carried out to understand its response to predefined vortical flow fields. A parametric study has been conducted to examine how the geometrical and material parameters (i.e. length, cross-section, and stiffness) can be manipulated to produce characteristic responses for different applications. This theoretical understanding is being used in a companion experimental study to develop a synthetic whisker-like sensor. The performance characteristics of the experimental sensor are compared to the beam model predictions.
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ŠILJAK, HARUN, and BISWAJIT BASU. "NATURAL SYNCHRONIZATION OF WIRELESS SENSOR NETWORKS FOR STRUCTURAL HEALTH MONITORING." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36278.

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Time synchronization in communication networks is a common issue: in a sensor network it means that the order of data samples becomes uncertain, which can make it unusable. Dedicated signals and schemes for synchronization of sensor networks has hence been a well-researched topic for decades. Here we bring in an approach to synchronization which uses the sensory data. Drawing inspiration from sensor time synchronization using environmental noise, we consider synchronizing sensory nodes for structural health monitoring–if the physical quantity the sensors measure is correlated, propagating as a wave, or oscillating in regular fashion, it is intuitively clear how to put it to use. We discuss when structural health monitoring signals can aid synchronization; we also connect this synchronization scheme to the idea of using physical human-made structures as reservoirs for reservoir computing, formulating synchronization as a reservoir computing task.
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Yuan, Jane Xiaojing, and Fernando Figueroa. "Intuitive Intelligent Sensor Fusion With Highly Autonomous Sensors." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24502.

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Abstract The objective of sensor fusion is to synergistically combine different sources of sensory information into one representational format to provide more complete and precise interpretation of the system. A generic sensor fusion framework based on a highly autonomous sensor (HAS) model is presented. The framework provides freedom to choose different data fusion methods and combine them together to achieve better performance. In the context of HAS’s, this paper describes a hierarchical decentralized sensor-fusion approach based on a qualitative theory to interpret measurements, and on qualitative procedures to reason and make decisions based on the measurement interpretations. In this manner, heuristic fusion methods are applied at a high-qualitative level as well as at a numerical level when necessary. This approach implements intuitive (effective) methods to monitor, diagnose, and compensate processes/systems and their sensors.
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Mehdizadeh, Mohammad, Sabu John, Chun Wang, Michael Bannister, and Viktor Verijenko. "Degradation of Sensor Systems in Multifunctional Composites." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3697.

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Structural health monitoring (SHM) systems are increasingly being considered for implementation in aerospace structures. As the application of SHM systems increase, it will be important to define standardized procedures to test durability, reliability, and longevity of the systems. The work presented in this paper is some preliminary work on the integrity of Piezoelectric sensors itself when used to monitor the strains in structures. This study involved the measurements of pertinent electrical properties of these sensors over 100,000 cycles of fatigue loading. Marked changes in the capacitance and inductance of these sensors highlighted deleterious structural changes in the sensor itself without any discernible change in the structure it is supposed to monitor. This might have significant implications in the reliability assessment of sensory data from SHM systems.
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Kumar, Manish, Devendra P. Garg, and Randy A. Zachery. "Intelligent Sensor Modeling and Data Fusion via Neural Network and Maximum Likelihood Estimation." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80972.

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The major thrust of this paper is to develop a sensor model based on a probabilistic approach that could accurately provide information about individual sensor’s uncertainties and limitations. The sensor model aims to provide a most informative likelihood function that can be used to obtain a statistical and probabilistic estimate of uncertainties and errors due to some environmental parameters or parameters of any feature extraction algorithm used in estimation based on sensor’s outputs. This paper makes use of a neural network that has been trained with the help of a novel technique that obtains training signal from a maximum likelihood estimator. The proposed technique was applied to model stereo-vision sensors and Infra-Red (IR) proximity sensor, and information from these sensors were fused in a Bayesian framework to obtain a three-dimensional occupancy profile of objects in robotic workspace. The capability of the proposed technique in accurately obtaining three-dimensional occupancy profile and efficiently removing individual sensor uncertainties was demonstrated and validated via experiments carried out in the Robotics and Manufacturing Automation (RAMA) Laboratory at Duke University.
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Nakagawa, Ryohei, Zhi Wang, and Ken Suzuki. "Area-Arrayed Graphene Nano-Ribbon-Base Strain Sensor." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87277.

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Health monitoring devices using a strain sensor, which shows high sensitivity and large deformability, are strongly demanded due to further aging of society with fewer children. Conventional strain sensors, such as metallic strain gauges and semiconductive strain sensors, however, aren’t applicable to health monitoring because of their low sensitivity and deformability. In this study, fundamental design of area-arrayed graphene nano-ribbon (GNR) strain senor was proposed in order to fabricate next-generation strain sensor. The sensor was consisted of two sections, which are stress concentration section and stress detecting section. This structure can take full advantage of GNR’s properties. Moreover, high quality GNR fabrication process, which is one of the important process in the sensor, was developed by applying CVD (Chemical Vapor Deposition) method. Top-down approach was applied to fabricate the GNR. At first, in order to synthesize a high-quality graphene sheet, acetylene-based LPCVD (low pressure chemical vapor deposition) using a closed Cu foil was employed. After that, graphene was transferred silicon substrate and the quality was evaluated. The high quality graphene was transferred on the soft PDMS substrate and metallic electrodes were fabricated by applying MEMS technology. Area-arrayed fine pin structure was fabricated by using hard PDMS as a stress-concentration section. Finally, both sections were integrated to form a highly sensitive and large deformable pressure sensor. The strain sensitivity of the GNR-base sensor was also evaluated.
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Wen, Yao-Jung, Alice M. Agogino, and Kai Goebel. "Fuzzy Validation and Fusion for Wireless Sensor Networks." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60964.

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Miniaturized, distributed, networked sensors — called motes — promise to be smaller, less expensive and more versatile than other sensing alternatives. While these motes may have less individual reliability, high accuracy for the overall system is still desirable. Sensor validation and fusion algorithms provide a mechanism to extract pertinent information from massively sensed data and identify incipient sensor failures. Fuzzy approaches have proven to be effective and robust in challenging sensor validation and fusion applications. The algorithm developed in this paper — called mote-FVF (fuzzy validation and fusion) — uses a fuzzy approach to define the correlation among sensor readings, assign a confidence value to each of them, and perform a fused weighted average. A sensor network implementing mote-FVF for monitoring the illuminance in a dimmable fluorescent lighting environment empirically demonstrates the timely response of the algorithm to sudden changes in normal operating conditions while correctly isolating faulty sensor readings.
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Lee, Jae-Yong, and Suhada Jayasuriya. "Multi-Layered Mobile Sensor Network With Robot Team." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81438.

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This paper presents a concept and its application of the dynamic multi-layered sensor network for gathering environment information. The architecture of the system is composed of sensor layer, physical layer, and communication layer. Sensor layer is the combination and the network of the sensor components in each sensor node. A sensor node has multiple numbers of sensors, and a number of robots for the mobile sensor network. Each mobile robot plays a role of mobile base for a sensor node, and consists of physical layer. We discuss the formation of the multi-layered sensor network, which is active, adaptive, and task oriented in the surrounding environment. As each sensor node consists of multiple numbers of heterogeneous sensors, sensor combination is not restricted to one particular objective or task. This fact allows the network to be multi-functional. Same kind of sensors can establish ad-hoc sensor network, while different kind of sensors fuse the data for improved interpretation of the environment. Experiments with mobile sensors nodes are conducted and illustrated to show the concept of the multi-layered mobile sensor network.
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Reports on the topic "Sensor"

1

Saligrama, Venkatesh. Smart Distributed Sensor Fields: Algorithms for Tactical Sensors. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada594998.

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Ratmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45680.

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With the advent of cheap and available sensors, there is a need for intelligent sensor selection and placement for various purposes. While previous research was focused on the most efficient sensor networks, we present a new mathematical framework for efficient and resilient sensor network installation. Specifically, in this work we formulate and solve a sensor selection and placement problem when network resilience is also a factor in the optimization problem. Our approach is based on the binary linear programming problem. The generic formulation is probabilistic and applicable to any sensor types, line-of-site and non-line-of-site, and any sensor modality. It also incorporates several realistic constraints including finite sensor supply, cost, energy consumption, as well as specified redundancy in coverage areas that require resilience. While the exact solution is computationally prohibitive, we present a fast algorithm that produces a near-optimal solution that can be used in practice. We show how such formulation works on 2D examples, applied to infrared (IR) sensor networks designed to detect and track human presence and movements in a specified coverage area. Analysis of coverage and comparison of sensor placement with and without resilience considerations is also performed.
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Garg, Devendra P., and Manish Kumar. Sensor Modeling and Multi-Sensor Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada440553.

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Lee, A. P., C. F. McConaghy, J. N. Simon, W. Benett, L. Jones, and J. Trevino. Sensor modules for wireless distributed sensor networks. Office of Scientific and Technical Information (OSTI), February 1999. http://dx.doi.org/10.2172/15005723.

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Limb, Scott J. HEAT Sensor: Harsh Environment Adaptable Thermionic Sensor. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1329005.

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Taylor. L51724 Fiber Optic Pressure Sensor Development. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1995. http://dx.doi.org/10.55274/r0010368.

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Fiber optic sensors have been under development in industrial and government laboratories around the world for over a decade The commercial market for fiber sensors for measuring parameters such as temperature, displacement, and liquid level is now estimated to exceed $50 M/year Aside from the commercial interest, the U S. Department of Defense has vigorously pursued the development of fiber gyroscopes and hydrophones In spite of the high level of research and devleopment activity, however, fiber sensors were not successfully applied in the relatively harsh environment of engine combustion chambers prior to 1991. The goal of this development is to demonstrate the utilization of a new fiber optic sensor technology in engines used for natural gas transmission. Presently, there is no way to continuously measure pressure in these engines over extended periods of operation. Reliable fiber optic sensor networks supplying data to computerized control systems for on-line engine balancing could lead to major reductions in the emission of NO, and other harmful combustion products. Fuel economies in the millions of dollars per year for companies in the natural gas transmission industry could also be realized.
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Artuso, M., and et al. Sensor Compendium. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1128407.

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Even, Detlev, and Arleen Velasco. Hyperspectral Sensor. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573118.

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Adams, B. E. Mass Sensor. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/773361.

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Lawless, W. N., and C. F. Clark, Jr. Small, Inexpensive Combined NOx Sensor and O2 Sensor. Office of Scientific and Technical Information (OSTI), September 2008. http://dx.doi.org/10.2172/936782.

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