Relevant bibliographies by topics / Electric field sensors

Contents

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

Academic literature on the topic 'Electric field sensors'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Electric field sensors"

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Wang, Wen C. "Optical electric-field sensors." Optical Engineering 45, no. 12 (December 1, 2006): 124402. http://dx.doi.org/10.1117/1.2404611.

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Wiȩckowski, T. W. "Electric-field and magnetic-field sensors." Electronics Letters 29, no. 11 (May 27, 1993): 968–70. http://dx.doi.org/10.1049/el:19930645.

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Hu, Ping, Rui Yong Yue, and Ji Tian. "The Numerical Simulation of Underwater Electric Field Sensor Calibration Traceability." Applied Mechanics and Materials 548-549 (April 2014): 646–49. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.646.

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The traceability of underwater electric field sensors is to track the most essential reason for underwater electric field generated by the sensor.When exploring marine electromagnetic field by underwater electric field sensors ,the underwater electric field sensor calibration traceability of the underwater electric field directly affects the final research significance .Therefore,the underwater electric field sensor calibration traceability technique is very important.The underwater electric field sensor calibration traceability is still in its infancy in our country recently .In this paper,underwater electric field sensor calibration traceability based on Ohm's law and magnetic field gradient methods are proposed through theoretical analysis and numerical simulation,which provide test methods for our underwater electric field sensor calibration and solve the bottleneck problem of underwater electric field measurements.
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王, 颖. "Review of Electric Field Sensors." Journal of Sensor Technology and Application 09, no. 01 (2021): 24–33. http://dx.doi.org/10.12677/jsta.2021.91004.

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Gao, Xiang, Yiqiang Zhao, and Haocheng Ma. "Fringing Electric Field Sensors for Anti-Attack at System-Level Protection." Sensors 18, no. 9 (September 11, 2018): 3034. http://dx.doi.org/10.3390/s18093034.

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Information system security has been in the spotlight of individuals and governments in recent years. Integrated Circuits (ICs) function as the basic element of communication and information spreading, therefore they have become an important target for attackers. From this perspective, system-level protection to keep chips from being attacked is of vital importance. This paper proposes a novel method based on a fringing electric field (FEF) sensor to detect whether chips are dismantled from a printed circuit board (PCB) as system-level protection. The proposed method overcomes the shortcomings of existing techniques that can be only used in specific fields. After detecting a chip being dismantled from PCB, some protective measures like deleting key data can be implemented to be against attacking. Fringing electric field sensors are analyzed through simulation. By optimizing sensor’s patterns, areas and geometrical parameters, the methods that maximize sensitivity of fringing electric field sensors are put forward and illustrated. The simulation is also reproduced by an experiment to ensure that the method is feasible and reliable. The results of experiments are inspiring in that they prove that the sensor can work well for protection of chips and has the advantage of universal applicability, low cost and high reliability.
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Santonico, Marco, Alessandro Zompanti, Anna Sabatini, Luca Vollero, Simone Grasso, Carlo Di Mezza, and Giorgio Pennazza. "CO2 and O2 Detection by Electric Field Sensors." Sensors 20, no. 3 (January 25, 2020): 668. http://dx.doi.org/10.3390/s20030668.

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In this work an array of chemical sensors for gas detection has been developed, starting with a commercial sensor platform developed by Microchip (GestIC), which is normally used to detect, trace, and classify hand movements in space. The system is based on electric field changes, and in this work, it has been used as mechanism revealing the adsorption of chemical species CO2 and O2. The system is composed of five electrodes, and their responses were obtained by interfacing the sensors with an acquisition board based on an ATMEGA 328 microprocessor (Atmel MEGA AVR microcontroller). A dedicated measurement chamber was designed and prototyped in acrylonitrile butadiene styrene (ABS) using an Ultimaker3 3D printer. The measurement cell size is 120 × 85 mm. Anthocyanins (red rose) were used as a sensing material in order to functionalize the sensor surface. The sensor was calibrated using different concentrations of oxygen and carbon dioxide, ranging from 5% to 25%, mixed with water vapor in the range from 50% to 90%. The sensor exhibits good repeatability for CO2 concentrations. To better understand the sensor response characteristics, sensitivity and resolution were calculated from the response curves at different working points. The sensitivity is in the order of magnitude of tens to hundreds of µV/% for CO2, and of µV/% in the case of O2. The resolution is in the range of 10−1%–10−3% for CO2, and it is around 10−1% for O2. The system could be specialized for different fields, for environmental, medical, and food applications.
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Judd, M. D. "Transient calibration of electric field sensors." IEE Proceedings - Science, Measurement and Technology 146, no. 3 (May 1, 1999): 113–16. http://dx.doi.org/10.1049/ip-smt:19990239.

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Wu Xiao Wu and D. V. Thiel. "Electric field sensors in electromagnetic sounding." IEEE Transactions on Geoscience and Remote Sensing 27, no. 1 (1989): 24–27. http://dx.doi.org/10.1109/36.20271.

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Peng, Jun, Shuhai Jia, Jiaming Bian, Shuo Zhang, Jianben Liu, and Xing Zhou. "Recent Progress on Electromagnetic Field Measurement Based on Optical Sensors." Sensors 19, no. 13 (June 27, 2019): 2860. http://dx.doi.org/10.3390/s19132860.

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Electromagnetic field sensors are widely used in various areas. In recent years, great progress has been made in the optical sensing technique for electromagnetic field measurement, and varieties of corresponding sensors have been proposed. Types of magnetic field optical sensors were presented, including probes-based Faraday effect, magnetostrictive materials, and magnetic fluid. The sensing system-based Faraday effect is complex, and the sensors are mostly used in intensive magnetic field measurement. Magnetic field optical sensors based on magnetic fluid have high sensitivity compared to that based on magnetostrictive materials. Three types of electric field optical sensors are presented, including the sensor probes based on electric-optic crystal, piezoelectric materials, and electrostatic attraction. The majority of sensors are developed using the sensing scheme of combining the LiNbO3 crystal and optical fiber interferometer due to the good electro-optic properties of the crystal. The piezoelectric materials-based electric field sensors have simple structure and easy fabrication, but it is not suitable for weak electric field measurement. The sensing principle based on electrostatic attraction is less commonly-used sensing methods. This review aims at presenting the advances in optical sensing technology for electromagnetic field measurement, analyzing the principles of different types of sensors and discussing each advantage and disadvantage, as well as the future outlook on the performance improvement of sensors.
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Sampl, M., W. Macher, C. Gruber, T. Oswald, M. Kapper, H. O. Rucker, and M. Mogilevsky. "HF performance of electric field sensors aboard the RESONANCE satellite." Geoscientific Instrumentation, Methods and Data Systems Discussions 4, no. 2 (December 18, 2014): 683–703. http://dx.doi.org/10.5194/gid-4-683-2014.

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Abstract. We present the high frequency properties of the eight electric field sensors as proposed to be launched on the spacecraft "RESONANCE" in the near future. Due to the close proximity of the conducting spacecraft body, the sensors (antennas) have complex receiving features and need to be well understood for an optimal mission and spacecraft design. An optimal configuration and precise understanding of the sensors and antennas characteristics is also vital for the proper performance of spaceborne scientific instrumentation and the corresponding data analysis. The provided results are particularly interesting with regard to the planned mutual impedance experiment for measuring plasma parameters. Our computational results describe the extreme dependency of the sensor system regarding wave incident direction and frequency, and provides the full description of the sensor system as a multi-port scatterer. In particular, goniopolarimetry techniques like polarization analysis and direction finding depend crucially on the presented antenna characteristics.
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Dissertations / Theses on the topic "Electric field sensors"

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Langkilde, Maria. "Positioning Electric Field Sensors in the Marine Environment Using Passage Data." Thesis, Uppsala universitet, Fasta tillståndets fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-435114.

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When underwater sensors are being deployed there is always some uncertainty about the actual position of the sensors. The most common way of determine the sensors position is the use of hydro-acoustic methods. However, for electric field sensors the most favourable would be to use the sensor system itself. The first question being answered in this report is whether it is possible to position electric field sensors with the sensor system itself, and the answer is yes. An algorithm has been developed which calculates the relative position of the sensors based on data measured by the sensors when a dipole passes the sensor group. The algorithm extracts zero crossings of the z-components of the electric field measured by each sensor from the data, which are converted to moments in time, multiplied by the speed and course of the vessel and finally calculated into relative position vectors between the sensors using vector algebra. The result of the predicted relative position is within 0.2 m from the sensors’ actual position, which answers the second question about how accurate the method is. However, the error estimation is within a couple of centimetres indicating that there are other sources of error than speed and course. The third question being answered is whether the method is better than acoustic methods, and the answer is no. Nonetheless, the methods are within the same order of magnitude. In conclusion, the method has acceptable performance, especially considering the fact that it can determine the position of the sensors with the sensor system itself which could be significant.
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Perry, Daniel Theodore. "Directional Electric Field Sensing Using Slab Coupled Optical Fiber Sensors." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3443.

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This thesis provides the details of a multi-axis electric field sensor. The sensing element consists of three slab coupled optical fiber sensors that are combined to allow directional electric field sensing. The packaged three-axis sensor has a small cross-sectional area of 0.5 cm x 0.5 cm achieved by using an x-cut crystal. The method is described that uses a sensitivity-matrix approach to map the measurements to field components. The calibration and testing are described resulting in an average error of 1.5º.This work also includes a description of the packaging method used as well as a thorough analysis of the directional sensitivity of potassium titanyl phosphate (KTP) and electro-optic polymer: the two materials used as sensing elements. Each of the two materials is highly direction sensitive creating minimal crosstalk between the sensors.
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Gibson, Richard S. "Slab-Coupled Optical Fiber Sensors for Electric Field Sensing Applications." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3248.pdf.

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Noren, Jonathan Robert. "Electric Field Sensing in a Railgun Using Slab Coupled Optical Fiber Sensors." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3482.

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This thesis discusses the application of Slab Coupled Optical Fiber Sensors (SCOS) in a railgun. The specific goal of these sensors is to create an electric field profile at a specific point in the gun as the armature passes. The thesis explores the theory that powers the railgun as well as the principles of the SCOS sensors. It also elaborates on the various noise sources found throughout the detection system and concludes with a summary of the various field tests that were performed throughout this project. There are many benefits to using a railgun over traditional weapons in the field. These benefits not only include both safety and cost, but also greater overall defense capabilities. Unfortunately, the velocity skin effect (VSE) causes the current railgun designs to have limited life span through wear on the rails. In order to develop superior railguns and railgun armatures, the accurate detection of the VSE through measuring the electric field is of great interest. We used a SCOS, a small directionally precise dielectric sensor, as a small sensing area is required to be able to measure the electric fields inside of the rail gun. The actual usage of the SCOS within the railgun produced an additional set of problems that are not commonly encountered in the lab. The chief amongst these was noise from strain, RF pickup, and phase noise. This thesis also reports various methods used to reduce each of these noise sources.
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Seng, Frederick Alexander. "An Exploration in Fiber Optic Sensors." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6101.

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With the rise of modern infrastructure and systems, testing and evaluation of specific components such as structural health monitoring is becoming increasingly important. Fiber optic sensors are ideal for testing and evaluating these systems due many advantages such as their lightweight, compact, and dielectric nature. This thesis presents a novel method for detecting electric fields in harsh environments with slab coupled optical sensors (SCOS) as well as a novel method for detecting strain gradients on a Hopkinson bar specimen using fiber Bragg gratings (FBG). Fiber optic electric field sensors are ideal for characterizing the electric field in many different systems. Unfortunately many of these systems such as railguns or plasma discharge systems produce one or more noise types such as vibrational noise that contribute to a harsh environment on the fiber optic sensor. When fiber optic sensors are placed in a harsh environment, multiple noise types can overwhelm the measurement from the fiber optic sensor. To make the fiber optic sensor suitable for a harsh environment it must be able to overcome all these noise types simultaneously to operate in a harsh environment rather than just overcome a single noise type. This work shows how to eliminate three different noise types in a fiber optic sensor induced by a harsh environment simultaneously. Specifically, non-localized vibration induced interferometric noise is up converted to higher frequency bands by single tone phase modulation. Then localized vibrational noise, and radio frequency (RF) noise are all eliminated using a push-pull SCOS configuration to allow for an optical measurement of an electric field in a harsh environment. The development and validation of a high-speed, full-spectrum measurement technique is described for fiber Bragg grating sensors in this work. A fiber Bragg grating is surface mounted to a split Hopkinson tensile bar specimen to induce high strain rates. The high strain gradients and large strains which indicate material failure are analyzed under high strain rates up to 500 s-1. The fiber Bragg grating is interrogated using a high-speed full-spectrum solid state interrogator with a repetition rate of 100 kHz. The captured deformed spectra are analyzed for strain gradients using a default interior point algorithm in combination with the modified transfer matrix approach. This work shows that by using high-speed full-spectrum interrogation of a fiber Bragg grating and the modified transfer matrix method, highly localized strain gradients and discontinuities can be measured without a direct line of sight.
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Ruege, Alexander Charles. "Electro-Optic Ring Resonators in Integrated Optics For Miniature Electric Field Sensors." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322521235.

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Ferreira, Kurt Josef. "Fault location for power transmission systems using magnetic field sensing coils." Link to electronic thesis, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050707-120755/.

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Grace, Jennifer L. "The utilization of piezoelectric materials and optical fiber sensors for electric field detection." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-05092009-040704/.

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Shreeve, Bryson J. "Magnetic Field Sensing with Slab Coupled Optical Fiber Sensors." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2774.

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This thesis reports an in-fiber magnetic field sensor that is able to detect magnetic fields as low as 2 A/m at a spatial resolution of 1 mm. The small sensor consists of a magneto-optic slab waveguide, bismuth-doped rare earth iron garnet (Bi-RIG) that is coupled to an optical fiber. By coupling light from the fiber to the slab waveguide, it becomes an in-fiber magnetic field sensor. This is due to the Magneto-Optic Kerr effect; a change in refractive index is proportional to the applied magnetic field. When an AC field is applied, an AC component in the output power can be detected by a spectrum analyzer. The novelties of Magneto-Optic Slab Coupled Optical Sensor (MO-SCOS) devices include their small compact nature and a dielectric structure allowing low electromagnetic interference. Due to their compact size they are capable of placement within devices to measure interior electromagnetic fields immeasurable by other sensors that are either too large for internal placement or disruptive of the internal fields due to metallic structure. This work also reports progress on EO SCOS development. The EO sensor has found application in new environments including the electromagnetic rail gun, and a dual-axis sensor.
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Sun, Xu, and 孫旭. "Development of power system monitoring by magnetic field sensing with spintronic sensors." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/196015.

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This dissertation presents novel application of spintronic sensors in power system monitoring. Spintronic sensors including giant magnetoresistance (GMR) sensors and tunnel magnetoresistance (TMR) sensors are advanced in magnetic field sensing. In power industry, power-frequency magnetic fields are produced by electric power sources, equipment and power lines. Thus it is impossible for monitoring the power system by sensing the emanated magnetic field. In Chapter 2, a novel concept based on magnetoresistive (MR) sensors is proposed for transmission line monitoring. A proof-of-concept laboratory setup was constructed and a series of experiments were carried out for demonstration. The result shows the feasibility of using this power system monitoring method in reality. In order to handle complicated transmission line configuration with the proposed method, an improved current monitoring technology is proposed in Chapter 3. It is realized by developing a current source reconstruction method based on stochastic optimization strategy. This concept of current monitoring by magnetic field sensing and current source reconstruction was experimentally implemented and verified in our laboratory setup. A typical model of 500 kV three-phase transmission lines was simulated to further corroborate this technology. The reconstruction results for the 500 kV transmission lines verify the feasibility and practicality of this novel current monitoring technology based on magnetic field sensing at the top of a transmission tower for monitoring overhead transmission lines. Chapter 4 offers further improvement of the transmission-line monitoring technology. Improved technology can measure simultaneously both electrical and spatial parameters of multiple lines in real-time in a non-contact way. Two typical models of high-voltage three-phase transmission lines were simulated and the resulting magnetic fields were calculated. A source reconstruction method was developed to reconstruct the spatial and electrical parameters from the magnetic field emanated by the overhead transmission lines. The reconstruction results for the 500 kV and 220 kV transmission lines verify the feasibility and practicality of this non-contact transmission-line monitoring technology based on magnetic field sensing. As well as the high-voltage transmission-line, the technology is applied in underground power cable operation-state monitoring and energization-status identification in Chapter 5. The magnetic field distribution of the cable was studied by using finite element method (FEM) for the power cable operating in different states, i.e. current-energized state (the cable is energized and carries load current) and voltage-energized state (the cable is energized but carries no load current). Application of this method was demonstrated on an 11 kV cable with metallic outer sheath. The results highly matched with the actual source parameters of the cable. An experimental setup was constructed and the test results were used for demonstration this method. In order to enhance the applicability of the proposed power system monitoring technology in practice, magnetic flux concentrators (MFC) and magnetic shielding are studied and designed for MR sensors in Chapter 6.
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Books on the topic "Electric field sensors"

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Standard Measurement Procedure for Field-Disturbance Sensors, 300 MHz to 40 Ghz. IEEE Standards Office, 2000.

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IEEE standard measurement procedure for field disturbance sensors 300 MHz to 40 GHz. New York, NY: Institute of Electrical and Electronics Engineers, 2000.

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IEEE standard for calibration of electromagnetic field sensors and probes, excluding antennas, from 9 kHz to 40 GHz. New York, NY: Institute of Electrical and Electronics Engineers, 1996.

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Montgomery, Erwin B. Approach to DBS in the Vicinity of the Subthalamic Nucleus. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190259600.003.0011.

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The regional anatomy around the DBS lead in the subthalamic nucleus (STN) determines efficacy and adverse effects. Understanding the regional anatomy allows the programmer to adjust the stimulation to provide optimal benefit and the absence of adverse effects.The STN lies near the junction of the diencephalon and mesencephalon. It is just ventral to the thalamus, just lateral to the brachium conjunctivum and red nucleus, and medial and dorsal to the internal capsule. These structures are important because inappropriate stimulation causes side effects. For examples: Electrical fields spreading to ascending sensory medial lemniscus and spinothalamic pathways behind the STN produce paresthesias. Inadvertent stimulation of the brachium conjunctivum can cause ataxia and loss of balance. The red nucleus lies in the brachium conjunctivum, and the exiting axons from the oculomotor nucleus run within the red nucleus. Electrical fields spreading to these structures can result in disconjugate gaze and diplopia. Stimulating the internal capsule laterally or dorsally can cause tonic muscle contractions.
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Horing, Norman J. Morgenstern. Graphene. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0012.

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Chapter 12 introduces Graphene, which is a two-dimensional “Dirac-like” material in the sense that its energy spectrum resembles that of a relativistic electron/positron (hole) described by the Dirac equation (having zero mass in this case). Its device-friendly properties of high electron mobility and excellent sensitivity as a sensor have attracted a huge world-wide research effort since its discovery about ten years ago. Here, the associated retarded Graphene Green’s function is treated and the dynamic, non-local dielectric function is discussed in the degenerate limit. The effects of a quantizing magnetic field on the Green’s function of a Graphene sheet and on its energy spectrum are derived in detail: Also the magnetic-field Green’s function and energy spectrum of a Graphene sheet with a quantum dot (modelled by a 2D Dirac delta-function potential) are thoroughly examined. Furthermore, Chapter 12 similarly addresses the problem of a Graphene anti-dot lattice in a magnetic field, discussing the Green’s function for propagation along the lattice axis, with a formulation of the associated eigen-energy dispersion relation. Finally, magnetic Landau quantization effects on the statistical thermodynamics of Graphene, including its Free Energy and magnetic moment, are also treated in Chapter 12 and are seen to exhibit magnetic oscillatory features.
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Zverovich, Vadim. Modern Applications of Graph Theory. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198856740.001.0001.

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This book discusses many modern, cutting-edge applications of graph theory, such as traffic networks and Braess’ paradox, navigable networks and optimal routing for emergency response, backbone/dominating sets in wireless sensor networks, placement of electric vehicle charging stations, pedestrian safety and graph-theoretic methods in molecular epidemiology. Because of the rapid growth of research in this field, the focus of the book is on the up-to-date development of the aforementioned applications. The book will be ideal for researchers, engineers, transport planners and emergency response specialists who are interested in the recent development of graph theory applications. Moreover, this book can be used as teaching material for postgraduate students because, in addition to up-to-date descriptions of the applications, it includes exercises and their solutions. Some of the exercises mimic practical, real-life situations. Advanced students in graph theory, computer science or molecular epidemiology may use the problems and research methods presented in this book to develop their final-year projects, master’s theses or doctoral dissertations; however, to use the information effectively, special knowledge of graph theory would be required.
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Book chapters on the topic "Electric field sensors"

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Kassanos, P., R. H. Bayford, and A. Demosthenous. "Electric Field Characteristics of Bipolar Impedance Sensors." In IFMBE Proceedings, 273–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03887-7_79.

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Esmaeili, Emad, and Behraad Bahreyni. "Micromachined Resonator-Based Charge and Electric Field Sensors: A Review." In Micro and Nano Machined Electrometers, 183–204. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-3247-0_6.

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Anil Boyal, Akanksha Deo, Amit Kr Pandey, and Amit Limba. "Harvesting Electric Field Energy for Powering Wireless Sensors of Smart Grid." In Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing, 399–408. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2638-3_46.

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Buchenauer, C. Jerald, and Raley Marek. "Antennas and Electric Field Sensors for Time Domain Measurements: an Experimental Investigation." In Ultra-Wideband, Short-Pulse Electromagnetics 2, 197–208. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-1394-4_22.

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Buchenauer, C. Jerald, J. Scott Tyo, and Jon S. H. Schoenberg. "Antennas and Electric Field Sensors for Ultra-Wideband Transient Time-Domain Measurements: Applications and Methods." In Ultra-Wideband, Short-Pulse Electromagnetics 3, 405–21. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-6896-1_48.

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Lundström, I., E. Hedborg, A. Spetz, H. Sundgren, and F. Winquist. "Electronic Noses Based on Field Effect Structures." In Sensors and Sensory Systems for an Electronic Nose, 303–19. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7985-8_18.

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Dodgson, J. R. "Field-Effect Chemical Sensors." In Electronic Materials, 509–33. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3818-9_34.

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Kalmijn, Ad J. "Detection of Weak Electric Fields." In Sensory Biology of Aquatic Animals, 151–86. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3714-3_6.

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Perini, Umberto, Elena Golinelli, Letizia De Maria, and Rudi Bratovich. "An Innovative Electro-Optic Sensor for Point-Like Electric Field Measurements." In Lecture Notes in Electrical Engineering, 207–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66802-4_27.

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Kasu, Makoto. "H-Terminated Diamond Field-Effect Transistors." In CVD Diamond for Electronic Devices and Sensors, 289–311. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470740392.ch13.

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Conference papers on the topic "Electric field sensors"

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Sheiretov, Yanko, Leslie Evans, Darrell Schlicker, Vladimir Zilberstein, Neil Goldfine, and Ruth Sikorski. "TBC Characterization Using Magnetic and Electric Field Sensors." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27526.

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Recent advances in magnetic and electric field sensors have enabled accurate measurements of bond coat and top coat material properties and thicknesses. This paper reviews current methods of using electric and magnetic field sensors for coating assessment in separate measurements and in a hybrid magnetic-electric sensor construct. Magnetic field (inductive) sensors can be used to characterize gas turbine components by providing critical information about the thickness and condition of the metallic bond coat and thickness of the top coat. Electric field (capacitive) sensors can be used to characterize ceramic top coats by providing information about the thickness, condition, and surface roughness of the top coat. Using multivariate inverse methods and precomputed model-derived databases, multiple unknown coating properties are estimated simultaneously and independently. The capability to independently estimate four unknowns with one sensor and as many as six unknowns with both sensors together enables practical application of this technology for manufacturing quality and in-service condition assessment. Together, these two sensors can provide an effective method of nondestructively characterizing both metallic and ceramic coatings on turbine components.
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Ghaffoori, Ali Jasim, and Wameedh Riyadh Abdul-Adheem. "Control of Field Electron Emission for Carbon Nanotube via Externally Applied DC Electric Field." In 2019 IEEE International Conference on Sensors and Nanotechnology (SENSORS & NANO). IEEE, 2019. http://dx.doi.org/10.1109/sensorsnano44414.2019.8940078.

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Wu, Xiaoming, and Jing'ao Huang. "A sensitivity-enhanced electric field sensor with electrostatic field bias." In 2017 IEEE SENSORS. IEEE, 2017. http://dx.doi.org/10.1109/icsens.2017.8234142.

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Yaras, Yusuf Samet, Ozgur Kocaturk, and F. Levent Degertekin. "FBG Based Electric Field Sensor for MRI Safety." In Optical Sensors. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/sensors.2020.stu4d.7.

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Toney, James E., Andrea Pollick, Jason Retz, and Sri Sriram. "Noncontact electro-optic near field probe for surface electric field profiling." In 2016 IEEE SENSORS. IEEE, 2016. http://dx.doi.org/10.1109/icsens.2016.7808510.

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Kang, Wu, Cui Yang, Song Jiayun, and Liu Min. "Electrical measurement of free space electric field sensors." In 2016 IEEE Metrology for Aerospace (MetroAeroSpace). IEEE, 2016. http://dx.doi.org/10.1109/metroaerospace.2016.7573267.

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Pustelny, Tadeusz, and Barbara M. Pustelny. "Optical fiber electric field intensity sensor." In Optoelectronic and Electronic Sensors IV, edited by Jerzy Fraczek. SPIE, 2001. http://dx.doi.org/10.1117/12.435925.

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Reichel, Erwin K., Thomas Voglhuber-Brunnmaier, Lisa Wolf, Roman Beigelbeck, and Bernhard Jakoby. "Electric field driven extensional rheometry of synovial fluid." In 2016 IEEE SENSORS. IEEE, 2016. http://dx.doi.org/10.1109/icsens.2016.7808573.

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Harvey, John D., and F. Vanholsbeeck. "Optrodes for Electric Field Detection in Muscles and Bacterial Counting." In Optical Sensors. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/sensors.2013.sm3c.1.

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Browning, Cassandra A., Stephen J. Vinci, Jack Zhu, David M. Hull, and Maciej A. Noras. "An evaluation of electric-field sensors for projectile detection." In 2013 IEEE Sensors. IEEE, 2013. http://dx.doi.org/10.1109/icsens.2013.6688441.

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Reports on the topic "Electric field sensors"

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Miles, R., T. Bond, and G. Meyer. Report on Non-Contact DC Electric Field Sensors. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/971778.

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Lee, Youn M., and Bruce T. Benwell. Calibration Techniques and Procedures for Ground-Plane-Version Electric and Magnetic Field Sensors. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada210131.

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Sriram, S. Wideband Photonics Electric Field Sensor. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada369157.

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Silva, Hugo, and F. Lopes. Atmospheric Electric Field-Mill Sensor Field Campaign Report. Office of Scientific and Technical Information (OSTI), July 2021. http://dx.doi.org/10.2172/1810309.

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WASHINGTON UNIV SEATTLE APPLIED PHYSICS LAB. Electrode and Electric Field Sensor Evaluation. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada397369.

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Reano, Ronald M. Broadband Electric-Field Sensor Array Technology. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada573266.

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Bahns, John. Underground Test Sensor Development. Volume 2. Electric Field Sensor Development. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada222530.

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Morse, J. D., J. C. Koo, R. T. Graff, A. F. Jankowski, and J. P. Hayes. Field-emission cathode micro-electro-mechanical system technology for sensors, diagnostics, and microelectronics. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/305303.

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You might also be interested in the extended bibliographies on the topic 'Electric field sensors' for particular source types:
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