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Добірка наукової літератури з теми "RF field sensors"

Автор: Grafiati

Опубліковано: 22 лютого 2025

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Статті в журналах з теми "RF field sensors"

Deprez, Kenneth, Loek Colussi, Erdal Korkmaz, Sam Aerts, Derek Land, Stephan Littel, Leen Verloock, David Plets, Wout Joseph, and John Bolte. "Comparison of Low-Cost 5G Electromagnetic Field Sensors." Sensors 23, no. 6 (March 21, 2023): 3312. http://dx.doi.org/10.3390/s23063312.

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This paper compares different low-cost sensors that can measure (5G) RF-EMF exposure. The sensors are either commercially available (off-the-shelf Software Defined Radio (SDR) Adalm Pluto) or constructed by a research institution (i.e., imec-WAVES, Ghent University and Smart Sensor Systems research group (S³R), The Hague University of Applied Sciences). Both in-lab (GTEM cell) and in-situ measurements have been performed for this comparison. The in-lab measurements tested the linearity and sensitivity, which can then be used to calibrate the sensors. The in-situ testing confirmed that the low-cost hardware sensors and SDR can be used to assess the RF-EMF radiation. The variability between the sensors was 1.78 dB on average, with a maximum deviation of 5.26 dB. Values between 0.09 V/m and 2.44 V/m were obtained at a distance of about 50 m from the base station. These devices can be used to provide the general public and governments with temporal and spatial 5G electromagnetic field values.

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Song, Zhenfei, Wanfeng Zhang, Qi Wu, Huihui Mu, Xiaochi Liu, Linjie Zhang, and Jifeng Qu. "Field Distortion and Optimization of a Vapor Cell in Rydberg Atom-Based Radio-Frequency Electric Field Measurement." Sensors 18, no. 10 (September 22, 2018): 3205. http://dx.doi.org/10.3390/s18103205.

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Highly excited Rydberg atoms in a room-temperature vapor cell are promising for developing a radio-frequency (RF) electric field (E-field) sensor and relevant measurement standards with high accuracy and sensitivity. The all-optical sensing approach is based on electromagnetically-induced transparency and Autler-Townes splitting induced by the RF E-field. Systematic investigation of measurement uncertainty is of great importance for developing a national measurement standard. The presence of a dielectric vapor cell containing alkali atoms changes the magnitude, polarization, and spatial distribution of the incident RF field. In this paper, the field distortion of rubidium vapor cells is investigated, in terms of both field strength distortion and depolarization. Full-wave numerical simulation and analysis are employed to determine general optimization solutions for minimizing such distortion and validated by measuring the E-field vector distribution inside different vapor cells. This work can improve the accuracy of atom-based RF E-field measurements and contributes to the development of related RF quantum sensors.

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Thormählen, Lars, Dennis Seidler, Viktor Schell, Frans Munnik, Jeffrey McCord, and Dirk Meyners. "Sputter Deposited Magnetostrictive Layers for SAW Magnetic Field Sensors." Sensors 21, no. 24 (December 15, 2021): 8386. http://dx.doi.org/10.3390/s21248386.

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For the best possible limit of detection of any thin film-based magnetic field sensor, the functional magnetic film properties are an essential parameter. For sensors based on magnetostrictive layers, the chemical composition, morphology and intrinsic stresses of the layer have to be controlled during film deposition to further control magnetic influences such as crystallographic effects, pinning effects and stress anisotropies. For the application in magnetic surface acoustic wave sensors, the magnetostrictive layers are deposited on rotated piezoelectric single crystal substrates. The thermomechanical properties of quartz can lead to undesirable layer stresses and associated magnetic anisotropies if the temperature increases during deposition. With this in mind, we compare amorphous, magnetostrictive FeCoSiB films prepared by RF and DC magnetron sputter deposition. The chemical, structural and magnetic properties determined by elastic recoil detection, X-ray diffraction, and magneto-optical magnetometry and magnetic domain analysis are correlated with the resulting surface acoustic wave sensor properties such as phase noise level and limit of detection. To confirm the material properties, SAW sensors with magnetostrictive layers deposited with RF and DC deposition have been prepared and characterized, showing comparable detection limits below 200 pT/Hz1/2 at 10 Hz. The main benefit of the DC deposition is achieving higher deposition rates while maintaining similar low substrate temperatures.

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Kim, Sangkil, Manos Tentzeris, and Apostolos Georgiadis. "Hybrid Printed Energy Harvesting Technology for Self-Sustainable Autonomous Sensor Application." Sensors 19, no. 3 (February 11, 2019): 728. http://dx.doi.org/10.3390/s19030728.

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In this paper, the far-field energy harvesting system for self-sustainable wireless autonomous sensor application is presented. The proposed autonomous sensor system consists of a wireless power supplier (active antenna) and far-field energy harvesting technology-enabled autonomous battery-less sensors. The wireless power supplier converts solar power to electromagnetic power in order to transfer power to multiple autonomous sensors wirelessly. The autonomous sensors have far-field energy harvesters which convert transmitted RF power to voltage regulated DC power to power-on the sensor system. The hybrid printing technology was chosen to build the autonomous sensors and the wireless power suppliers. Two popular hybrid electronics technologies (direct nano-particle printing and indirect copper thin film printing techniques) are discussed in detail.

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Pekgor, Metin, Reza Arablouei, Mostafa Nikzad, and Syed Masood. "Displacement Estimation via 3D-Printed RFID Sensors for Structural Health Monitoring: Leveraging Machine Learning and Photoluminescence to Overcome Data Gaps." Sensors 24, no. 4 (February 15, 2024): 1233. http://dx.doi.org/10.3390/s24041233.

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Monitoring object displacement is critical for structural health monitoring (SHM). Radio frequency identification (RFID) sensors can be used for this purpose. Using more sensors enhances displacement estimation accuracy, especially when it is realized through the use of machine learning (ML) algorithms for predicting the direction of arrival of the associated signals. Our research shows that ML algorithms, in conjunction with adequate RFID passive sensor data, can precisely evaluate azimuth angles. However, increasing the number of sensors can lead to gaps in the data, which typical numerical methods such as interpolation and imputation may not fully resolve. To overcome this challenge, we propose enhancing the sensitivity of 3D-printed passive RFID sensor arrays using a novel photoluminescence-based RF signal enhancement technique. This can boost received RF signal levels by 2 dB to 8 dB, depending on the propagation mode (near-field or far-field). Hence, it effectively mitigates the issue of missing data without necessitating changes in transmit power levels or the number of sensors. This approach, which enables remote shaping of radiation patterns via light, can herald new prospects in the development of smart antennas for various applications apart from SHM, such as biomedicine and aerospace.

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Ariana, Aly Nur, and Zainal Abidin. "RANCANG BANGUN SISTEM IRIGASI PEMBIBITAN PENGKONDISIAN LAHAN PADI BERBASIS ATMEGA328 DAN MONITORING JARAK JAUH DENGAN RADIO FREKUENSI 433 MHZ." Jurnal Teknika 10, no. 1 (May 2, 2018): 999. http://dx.doi.org/10.30736/teknika.v10i1.207.

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System of open-close channel or water pipe irrigation is a widely used method. Required a system that can automate the system of irrigation field so that water contribution can be done evenly and enough. As the development of an automatic field irrigation system by utilizing electrode level sensor performance, to open and close the water distribution pipe automatically with the help of ATmega328 microcontroller as the central controller system that will be embedded code-code program that is needed and can be monitored from remotely wirelessly. In this research will discuss how to make an irrigation system based on atmega328 and remote monitoring with 433 mhz radio frequency and how efficient the tool is to influence the water level sensor and soil moisture sensor so that it can work well on the system. In principle the work system of this tool starts from the first Start and then ATMega328 pin initialization reads the soil moisture sensor and water level sensor with LCD display, and sends data to RF transmitter module to send to RF receiver. Making atmega328-based irrigation system and remote monitoring with 433mhz radio frequency is made by designing tools ranging from microcontrollers, ultrasonic sensors, soil moisture sensors that can create a tool to facilitate farmer in the fields.

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Rushton, Lucas Martin, Laura Mae Ellis, Jake David Zipfel, Patrick Bevington, and Witold Chalupczak. "Performance of a Radio-Frequency Two-Photon Atomic Magnetometer in Different Magnetic Induction Measurement Geometries." Sensors 24, no. 20 (October 16, 2024): 6657. http://dx.doi.org/10.3390/s24206657.

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Measurements monitoring the inductive coupling between oscillating radio-frequency magnetic fields and objects of interest create versatile platforms for non-destructive testing. The benefits of ultra-low-frequency measurements, i.e., below 3 kHz, are sometimes outweighed by the fundamental and technical difficulties related to operating pick-up coils or other field sensors in this frequency range. Inductive measurements with the detection based on a two-photon interaction in rf atomic magnetometers address some of these issues as the sensor gains an uplift in its operational frequency. The developments reported here integrate the fundamental and applied aspects of the two-photon process in magnetic induction measurements. In this paper, all the spectral components of the two-photon process are identified, which result from the non-linear interactions between the rf fields and atoms. For the first time, a method for the retrieval of the two-photon phase information, which is critical for inductive measurements, is also demonstrated. Furthermore, a self-compensation configuration is introduced, whereby high-contrast measurements of defects can be obtained due to its insensitivity to the primary field, including using simplified instrumentation for this configuration by producing two rf fields with a single rf coil.

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Chou, Jung-Chuan, and Chien-Cheng Chen. "WEIGHTED DATA FUSION FOR FLEXIBLE pH SENSORS ARRAY." Biomedical Engineering: Applications, Basis and Communications 21, no. 06 (December 2009): 365–69. http://dx.doi.org/10.4015/s1016237209001465.

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Data fusion is a frequent statistic method that can be applied to sensor development field, such as multisensors and sensors array. In this study, the analytic data fusion methods consist of the arithmetic mean and weighted data fusion used to estimate the measured pH data of flexible pH sensors array. The main part of the flexible 2 × 4 pH sensors array was fabricated by screen printing, and the ruthenium dioxide ( RuO2 ) thin film on each sensor of the sensor array was deposited by radio frequency (RF)-sputtering method. In accordance with experiment results, the pH values estimated by weighted data fusion method are accurate than by arithmetic mean method. Furthermore, that the flexible sensors array is actually used to detect the pH value of different commercial drinks is also investigated.

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Zhang, Mingguang, Mengyun Li, Wei Xu, Fan Zhang, Daojin Yao, Xiaoming Wang, and Wentao Dong. "Soft Wireless Passive Chipless Sensors for Biological Applications: A Review." Biosensors 15, no. 1 (December 26, 2024): 6. https://doi.org/10.3390/bios15010006.

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Soft wireless passive sensors have been applied in biological, engineering, and other fields due to their advantages in powerless supply and remote data transmission. External information is obtained by soft wireless passive sensors via the external coils based on electromagnetic induction. The purpose of this review paper is to outline the biological applications of soft wireless passive chipless sensors and provide a classification of wireless passive sensors and an overall explanation of the main work. Three kinds of soft wireless sensors, soft wireless passive LC-resonant sensors, soft wireless radio frequency (RF) sensors, and soft wireless surface acoustic wave (SAW) sensors, are introduced with their working principles, equitant circuits, and biological applications. Soft wireless passive sensors with integrated LC-resonant units are applied to physical quantity measurements for denoting the mapping relationship between the frequency resonance and the monitored object. Utilizing the electromagnetic field principle, RF sensors enable wireless measurements and data exchange of physical parameters. SAW sensors with piezoelectric substrates are applied to physical parameter monitoring using guided waves in monitoring objects. Soft wireless passive sensors aim to monitor biological health without an external power supply or wired data communication, which would bring increased convenience to the lives of the people who use them.

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Tien, Chuen-Lin, Tzu-Chi Mao, and Chi-Yuan Li. "Lossy Mode Resonance Sensors Fabricated by RF Magnetron Sputtering GZO Thin Film and D-Shaped Fibers." Coatings 10, no. 1 (January 1, 2020): 29. http://dx.doi.org/10.3390/coatings10010029.

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We demonstrate a new refractive index (RI) and salinity sensor based on a lossy mode resonance (LMR) effect which combines fiber-optic side-polishing and radio-frequency (RF) sputtering techniques. The side-polished fiber can enhance optical fibers to generate an evanescent field in sensing applications. Gallium-doped zinc oxide (GZO) thin films produce a high attenuation lossy mode resonance effect that permits a highly sensitive refractive index and salinity fiber sensor. GZO thin film was prepared by an RF magnetron sputtering method. The thickness of the D-shaped fiber sensing device was 74.7 μm, and a GZO film thickness of 67 nm was deposited on the polished surface of the D-shaped fiber to fabricate LMR type liquid salinity sensors. The sensitivity of 3637.8 nm/RIU was achieved in the RI range of 1.333 to 1.392. To investigate the sensitivities of LMR salinity sensors, the NaCl solution salinities of 0%, 50%, 100%, 150%, 200%, and 250% were measured in this work. The experimental result shows that the sensitivity of the salinity sensor is 0.964 nm per salinity unit (SU).

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Більше джерел

Дисертації з теми "RF field sensors"

Duverger, Romain. "Métrologie de champs électromagnétiques RF par spectroscopie de déplétion de piège à partir d'atomes froids de Rydberg." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASP154.

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Les atomes de Rydberg sont des atomes portés dans un état de grand nombre quantique principal, et dont l'électron de valence orbite très loin du noyau. Cet éloignement confère aux atomes de Rydberg des propriétés hors-normes par rapport aux atomes ordinaires, grâce auxquelles ils sont devenus le cœur de nombreux développements et applications de la physique quantique expérimentale moderne. En particulier, ils possèdent des transitions dans les domaines radiofréquence (RF) et terahertz (THz) avec de très grands éléments de matrice, qui les rendent extrêmement sensibles aux champs électromagnétiques dans ces domaines de fréquences. Cela a conduit il y a une dizaine d'années à l'émergence une nouvelle technologie de capteurs de champs RF et THz, dans lesquels l'amplitude du champ est mesurée en faisant la spectroscopie, avec un signal de transparence électromagnétiquement induite, du doublet Autler-Townes induit par l'interaction entre le champ et les états de Rydberg des atomes d'une vapeur chaude. De tels capteurs offrent plusieurs avantages intéressants par rapport aux antennes classiques, parmi lesquels une meilleure sensibilité, une plus large gamme de fréquences accessibles, une taille indépendante de la fréquence du champ mesuré, un besoin en calibration fortement réduit, et la possibilité de mesurer en plus de l'amplitude la phase et la polarisation. Tous ces avantages font des capteurs à base d'atomes de Rydberg de très bons candidats pour des applications de type télécommunications, radar, spatial, etc. Actuellement, ces capteurs font l'objet d'une multitude de travaux et d'évolutions visant à améliorer leurs performances en termes de sensibilité, d'exactitude, de bande passante de mesure, ou de résolution spatiale. L'usage d'atomes froids au lieu de vapeurs chaudes constitue pour cela une piste prometteuse, d'une part en raison de leur meilleure cohérence et de leur effet Doppler fortement réduit, et d'autre part car ils se prêtent à d'autres formes de spectroscopie potentiellement plus robustes sur certains aspects. La présente thèse porte sur l'étude expérimentale d'une nouvelle approche pour la métrologie de champs RF avec des atomes de Rydberg froids, basée sur la spectroscopie de déplétion de piège. Elle consiste à faire interagir avec le champ RF un ensemble d'atomes de ⁸⁷Rb refroidis et confinés dans un piège magnéto-optique, et à sonder le doublet Autler-Townes induit par le champ à l'aide d'un effet de déplétion du piège. Le mécanisme responsable des pertes est l'ionisation des atomes sous l'action du rayonnement de corps noir ambiant. Cette étude s'est appuyée sur la réalisation complète d'un dispositif expérimental permettant de mettre en œuvre la spectroscopie de déplétion. Malgré une faible bande passante de mesure, la méthode proposée ici a démontré une linéarité inférieure à 2%, une sensibilité de l'ordre de 250 µV/cm/Hz1/2, ainsi qu'une absence de dérives sur plusieurs heures d'intégration avec une résolution de l'ordre de 5 µV/cm. Elle offre également une plus grande simplicité de mise en œuvre que d'autres approches utilisant des atomes froids, et permet en principe de déterminer à la fois la fréquence et l'amplitude du champ. Dans ce manuscrit, nous décrirons le principe, le montage et la mise en œuvre de notre dispositif expérimental, nous présenterons les résultats des mesures effectuées grâce à lui, puis nous en analyserons les performances métrologiques, les avantages et les limites
Rydberg atoms are atoms excited to states with a very high principal quantum number, where the valence electron orbits very far from the nucleus. This large distance imparts exceptional properties to Rydberg atoms compared to ordinary atoms, which has made them central to many developments and applications of modern experimental quantum physics. In particular, they exhibit transitions in the radiofrequency (RF) and terahertz (THz) domains with very large dipole matrix elements, making them extremely sensitive to electromagnetic fields in these frequency domains. This has led over the last ten years to the emergence of a new technology of RF and THz field sensors, where the amplitude of the field is measured by performing electromagnetically induced transparency spectroscopy of the Autler-Townes doublet induced by the interaction between the field and Rydberg states of atoms in a thermal vapor. Such sensors offer several advantages over classic antennas, including a greater sensitivity, a wider frequency range, a size independent from the frequency of the measured field, a significantly reduced need for calibration, and the ability to measure, in addition to the amplitude, the phase and the polarization. All these benefits make Rydberg atoms-based RF field sensors excellent candidates for applications in telecommunications, radar systems, and the space sector. Currently, these sensors are the subject to numerous works aiming at improving their performance in terms of sensitivity, accuracy, measurement bandwidth or spatial resolution. The use of cold atoms instead of thermal vapors represents a promising avenue in these goals, due to their better coherence and strongly reduced Doppler effect. Additionally, cold atoms are suitable for other forms of spectroscopy that are potentially more robust in certain aspects. This thesis focuses on the experimental study of a new approach for RF field sensing using cold Rydberg atoms, based on trap-loss spectroscopy. It consists in making the RF field interact with a set of ⁸⁷Rb atoms cooled and confined in a magneto-optical trap, and in probing the Autler-Townes doublet created by the field through a trap depletion effect. The mechanism responsible for the losses is the ionization of the atoms under the action of background blackbody radiation. This study involved the development of an entire experimental setup to perform trap-loss spectroscopy. Despite a low measurement bandwidth, the method proposed here has demonstrated a deviation from linearity of less than 2%, a sensitivity of the order of 250 µV/cm/Hz1/2, as well as an absence of drifts over several hours of measurement, with a resolution of the order of 5 µV/cm. Moreover, this method is easier to implement than other approaches involving cold atoms, and theoretically allows for determining both the amplitude and the frequency of the field. In this manuscript, we will describe the principle, setup and implementation of our experimental apparatus, present the results of the measurement performed with it, and then analyze its metrological performance, advantages and limitations

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Karolak, Dean. "Système de radiocommunication télé-alimenté par voie radiofréquence à 2.45 GHz." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0392/document.

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Récepteurs récupérateurs d’énergie sans fil (WPR) détiennent un avenir prometteur pour la génération d'énergie électrique continue afin d’alimenter complètement ou partiellement les circuits compris dans les systèmes de communication sans fil. Applications importantes telles que l'identification par radiofréquence (RFID) et les réseaux de capteurs sans fils (WSN) fonctionnant aux bandes de fréquences UHF et SHF sont apparues, nécessitant un important effort sur la conception de WPRs d’haute efficacité pour étendre la distance de fonctionnement ou de la durée de vie de ces applications portables. Dans ce contexte, les redresseurs intégrés et les antennes sont d'un intérêt particulier, car ils sont responsables pour la tâche de conversion d'énergie. Ce travail de thèse vise à faire progresser l'étatde l'art à travers de la conception et réalisation de WPRs d’haute efficacité, dès l'antenne jusqu’au stockage de la puissance DC convertie, en explorant les défis d’interconnexion avec leur pleine intégration sur PCBs
Wireless Powered Receivers (WPR) hold a promising future for generating a small amount ofelectrical DC energy to drive full or partial circuits in wirelessly communicating electronic devices.Important applications such as RFIDs and WSNs operating at UHF and SHF bands have emerged,requiring a significant effort on the design of high efficient WPRs to extend the operating range or thelifetime of these portable applications. In this context, integrated rectifiers and antennas are of aparticular interest, since they are responsible for the energy conversion task. This thesis work aims tofurther the state-of-the-art throughout the design and realization of high efficient WPRs from the antennaup to the storage of the converted DC power, exploring the interfacing challenges with their fullyintegration into PCBs

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Частини книг з теми "RF field sensors"

Milivinti, M., M. Amadini, F. Ballo, M. Gobbi, and G. Mastinu. "Force Sensors for the Active Safety of Road Vehicles." In Lecture Notes in Mechanical Engineering, 940–46. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_132.

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AbstractForce and moment measurement within road vehicles plays a break-through role in automotive engineering. Both wheel force transducers and instrumented hub carriers are considered in the paper. Both technologies have advantages and disadvantages. Active safety systems (ABS, ESP, up to full automated driving) are expected to be impacted by the measurement of forces and moments at the wheels. Friction potential evaluation and driver model development and monitoring are major field of research. Force and moment measurement technology may also be exploited for lightweight construction purposes. Promising technologies are the ones that don’t need RF data transfer, providing low latency for data transfer and are resiliency against cyber-attacks.

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Rajasekaran, K., Anitha Mary Xavier, and R. Jegan. "Smart Technology for Non Invasive Biomedical Sensors to Measure Physiological Parameters." In Biomedical Engineering, 749–78. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3158-6.ch034.

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Communication and Information technologies are transforming our lifestyles, social interactions, and workplaces. One of the promising applications of the information and communication technology is healthcare and wellness management. Advancement in electronic health care and mobile have made doctors and patients to involve the modern healthcare system by extending the capabilities of physiological monitoring devices. Various biomedical sensors are being used to measure the physiological parameters like pulse rate, blood glucose level, blood pressure etc., Among various bio-sensor, Researchers from different field of science are particularly and increasingly interested in Photoplethysmography (PPG) signals. This chapter addresses the importance of bio sensors and its principle, significance of remote monitoring of PPG signal using Radio Frequency (RF) and design challenges in RF connectivity. Also this chapter presents a reliable low power wireless transmission mechanism of biomedical signals which works on narrow band RF frequencies.

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Rajasekaran, K., Anitha Mary Xavier, and R. Jegan. "Smart Technology for Non Invasive Biomedical Sensors to Measure Physiological Parameters." In Handbook of Research on Healthcare Administration and Management, 318–47. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0920-2.ch019.

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"Development of a field useable interrogation system for RF cavity wireless sensors." In Advances in Bridge Maintenance, Safety Management, and Life-Cycle Performance, Set of Book & CD-ROM, 1041–42. CRC Press, 2015. http://dx.doi.org/10.1201/b18175-432.

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De, Swades, and Shouri Chatterjee. "Network Energy Driven Wireless Sensor Networks." In Biologically Inspired Networking and Sensing, 145–57. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-092-7.ch008.

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Scarcity of energy in tiny battery-powered wireless sensor nodes have led to a tremendous amount of research thrust at all protocol levels in wireless networks. Despite efficient design of the underlying communication protocols, limited battery energy primarily restricts the usage of nodes and hence the lifetime of the network. As a result, although there has been a lot of promise of pervasive networking via sensors, limited energy of the nodes has been a major bottleneck to deployment feasibility and cost of such a network. With this view, alongside many innovative network communication protocol research to increase nodal as well as network lifetime, there have been significant ongoing efforts on how to impart energy to the depleted batteries on-line. In this chapter, we propose to apply the lessons learnt from our surrounding nature and practices of the living world to realize network energy operated field sensors. We show that, although the regular communicating nodes may not benefit from network energy harvesting, by modifying the carrier sensing principle in a hierarchical network setting, the low power consuming field nodes can extend their lifetimes, or even the scavenged RF energy can be sufficient for the uninterrupted processing and transmission activities of the field nodes.

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Kadyan, Sunil, Yogita Sharma, Atul Kumar Agnihotri, Veer Bhadra Pratap Singh, Rakshit Kothari, and Fateh Bahadur Kunwar. "Human-Centric AI Applications for Remote Patient Monitoring." In Advances in Healthcare Information Systems and Administration, 117–37. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1662-7.ch006.

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This research analyses the deployment of a human-centric IoT gadget for remote impacted person monitoring, employing sophisticated technology to beautify healthcare operations. The suggested approach incorporates a community of sensors, together with temperature, stress, coronary heart charge, and oxygen sensors, strategically situated at the afflicted person's frame. These sensors capture actual-time physiological information, which is processed via a signal converter, delivered to character controllers, and consolidated within the cloud for complete analysis. Subsequently, machine studying styles, including artificial neural network (ANN), decision tree (DT), random forest (RF), and naive bayes (NB), are used to anticipate impacted person fitness outcomes based at the accumulated dataset. The analysis assesses each version's performance using a dataset of 3233 items, of which 70% are designated for learning and 30% for experimentation. Results suggest that the proposed ANN model achieves an outstanding accuracy of 97.5%, outperforming DT, RF, and NB. Decision tree and random forest comply closely with accuracies of 92.33% and 91.22%, correspondingly, while naive bayes demonstrates a superb accuracy of 86.5%. These outcomes underline the potential of sophisticated machine learning models, notably ANN, within the field of remote affected person monitoring, giving a transformational method to healthcare. The merger of human-centric layout ideas, IoT technologies, and device learning contributes to the continuous dialogue on improving affected person care, opening the way for extra proactive, customized, and successful healthcare treatments. This investigation suggests a leap forward in utilising generation to alter healthcare practices, highlighting the crucial significance of facts-driven decision-making in making sure best patient impacts.

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Mohanbabu, A., S. Maheswari, N. Vinodhkumar, P. Murugapandiyan, and R. Saravana Kumar. "Advancements in GaN Technologies: Power, RF, Digital and Quantum Applications." In Nanoelectronic Devices and Applications, 1–28. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815238242124010003.

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Quantum well devices based on III-V heterostructures outperform Field Effect Transistors (FETs) by harnessing the exceptional properties of the twodimensional electron gas (2DEG) in various material interface systems. In high-power electronics, III-V-based Gallium Nitride (GaN) HEMTs can have a great influence on the transport industry, consumer, RADAR, sensing systems, RF/ power electronics, and military systems. On the other hand, the devices made of HEMTs and MIS-HEMTs work in enhancement mode, having very low leakage current, which can conserve energy for more efficient power conversion, microwave/ power transistors and highspeed performance for wireless communication. The existing physics of the wellestablished AlGaN heterostructure system imposes constraints on the further progress of GaN-based HEMTs. Some of the scopes include: Initially, the semiconductor materials made of SiC, GaN, and AlGaN allow a device that is resistant to severe conditions, such as high-power /voltage-high temperature, to operate due to its effective dielectric constant and has a very good thermal conductivity, which makes this device well-suited for military applications. Secondly, with the urgent need for high-speed internet multimedia communication across the world, high transmission network capacity is required. GaN-based HEMT devices are suitable candidates for achieving high-speed limits, high gain and low noise performance. In conclusion, GaN and related interface materials exhibit chemical stability and act as robust semiconductors, exhibiting remarkable piezoelectric polarization effects that lead to a high-quality 2DEG. Integrating free-standing resonators with functionalized GaNbased 2DEG formation reveals the potential for designing advanced sensors.

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Padmavathy, C., Dankan Gowda V., Vaishali Narendra Agme, Algubelly Yashwanth Reddy, and D. Palanikkumar. "An Exhaustive Analysis of Energy Harvesting Absorbers and Battery Charging Systems for the Internet of Things." In Advances in Computer and Electrical Engineering, 166–86. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4974-5.ch009.

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Nearly all application fields are paying increased attention to the internet of things (IoT). Nearly 20 billion devices are now linked to the internet. With several applications ranging from smart buildings and smart cities to smart devices, IoT has progressed over the last few decades. As a result, the quantity of sensors, sensor nodes, and gateways has increased, making these battery-powered devices power-hungry. It will be a laborious operation to change the battery in remote monitoring applications for these smart sensors or nodes. By gathering RF energy from the environment and converting it to DC power, RF energy harvesting is a cost-effective method of extending the lifespan of wireless sensor networks (WSNs). A brand-new, IoT-based smart universal charger is suggested in this chapter for charging multichemistry batteries. The suggested charger has an advantage over traditional chargers since it can charge both already installed batteries and any future batteries.

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Razvan Radulescu, Ion, Razvan Scarlat, Mihaela Jomir, Catalin Grosu, Emilia Visileanu, Benny Malengier, and Xianyi Zeng. "E-Textiles to Promote Interdisciplinary Education." In Education and Human Development. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.112898.

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Electronic textiles (e-textiles) is a current research and development direction of the textile domain. As final applications, e-textiles may monitor human vital signs for sports and medicine, may extend garment functionality for entertainment, or ensure electromagnetic compatibility (EMC) using flexible textile shields. However, this book chapter focuses on a certain aspect of e-textiles, namely, their role in promoting interdisciplinary education. E-textile products are the result of material science, physics, mathematics, mechanics, electronics, and more recently of software and Artificial Intelligence (AI). This was the rationale for initiating three Erasmus+ projects in the field of e-textiles to foster interdisciplinary training for students and young professionals. The new educational materials tackle the relation between Science Technology Engineering Mathematics (STEM) disciplines of the official curricula and some of their final applications, such as e-textile prototypes. The educational materials are conceived in a problem-based learning (PBL) approach. The presented examples encompass fabrics with inserted metallic yarns and metallic coating for electromagnetic interference (EMI) shielding, pressure sensors, and related electronic data processing, as well as virtual prototyping of Radio frequency (RF) suits. EMC is tackled from an educational perspective.

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Raja, Chithik, Hemachandran K., V. Devarajan, and K. Jarina Begum. "Predict Network Intruder Using Machine Learning Model and Classification." In Artificial Intelligence and Knowledge Processing: Methods and Applications, 150–71. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815165739123010013.

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The massive number of sensors deployed in IoT generates humongous volumes of data for a broad range of applications such as smart home, smart healthcare, smart manufacturing, smart transportation, smart grid, smart agriculture etc. Analyzing such data in order to facilitate enhanced decision making and increase productivity and accuracy is a critical process for businesses and life improving paradigm. Machine Learning would play a vital role in creating smarter techniques to predict the intruder from the dataset. It has shown remarkable results in different fields, including Network security, image recognition, information retrieval, speech recognition, natural language processing, indoor localization, physiological and psychological state detection, etc. In this regard, intrusion detection is becoming a research focus in the field of information security. In our experiment, we used the CICIDS2017 data set to predict the Network Intruder. The Canadian Institute of Cyber Security released the data set CICIDS-2017, which consists of eight separate files and includes five days’ worth of normal cum abnormal network packet data. The goal of this research is to examine relevant and significant elements of large network packets in order to increase network packet attack detection accuracy and reduce execution time. We choose important and meaningful features by applying Information Gain, ranking and grouping features based on little weight values on the CICIDS-2017 dataset; and then use Random Forest (RF), Random Tree (RT), Naive Bayes (NB), Bayes Net (BN), and J48 classifier algorithms. The findings of the experiment reveal that the amount of relevant and significant features produced by Information Gain has a substantial impact on improving detection accuracy and execution time. The Random Forest method, for example, has the best accuracy with 0.14% of negative results when using 22 relevant selected features, whereas the Random Tree classifier algorithm has a higher accuracy with 0.13% of negative results when using 52 relevant selected features but takes a longer execution time.

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Тези доповідей конференцій з теми "RF field sensors"

Holloway, Christopher L., Matthew T. Simons, Nikunjkumar Prajapati, Samuel Berweger, Andrew P. Rotunno, Alexandra B. Artusio-Glimpse, Noah Schlossberger, et al. "Rydberg Atom-Based Sensors: Transforming SI-Traceable Measurements from RF fields to Thermometry." In 2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), 122. IEEE, 2024. http://dx.doi.org/10.23919/inc-usnc-ursi61303.2024.10632330.

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Bradley, Lee W., Yusuf S. Yaras, and F. Levent Degertekin. "Acousto-Optic Electric Field Sensor Based on Thick-Film Piezoelectric Transducer Coated Fiber Bragg Grating." In Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.f1.2.

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An acousto-optic electric field sensor based on piezoelectric thick-film coated FBG is developed for magnetic resonance imaging. The sensor operates in the 20-150MHz range, addressing challenges of electro-optical field sensors at low RF frequencies.

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Wilson, Mark L., Dan J. Bartnik, and Mark P. Bendett. "Design of a Totally Dielectric Fiber Optic RF Electric Field Sensor." In Optical Fiber Sensors. Washington, D.C.: OSA, 1988. http://dx.doi.org/10.1364/ofs.1988.thaa3.

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Takemura, Yasushi. "Resonant circuits for thermal therapy excited by RF magnetic field from MRI." In 2012 IEEE Sensors. IEEE, 2012. http://dx.doi.org/10.1109/icsens.2012.6411094.

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Schneider, T., U. Hempel, S. Doerner, P. R. Hauptmann, D. McCann, and J. F. Vetelino. "Compact RF Impedance-Spectrum-Analyzer For Lateral Field Excited Liquid Acoustic Wave Sensors." In 2007 IEEE Sensors. IEEE, 2007. http://dx.doi.org/10.1109/icsens.2007.4388391.

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Zhao, Cheng, Jing Song, Lei Han, and Qing-An Huang. "An equivalent-circuit method for coupled-field modeling of distributed RF MEMS devices and packages." In 2012 IEEE Sensors. IEEE, 2012. http://dx.doi.org/10.1109/icsens.2012.6411194.

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De, S., A. Kawatra, and S. Chatterjee. "On the Feasibility of Network RF Energy Operated Field Sensors." In ICC 2010 - 2010 IEEE International Conference on Communications. IEEE, 2010. http://dx.doi.org/10.1109/icc.2010.5502332.

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Xu, Kun, and Xiuyan Ren. "Effect of RF field intensity on resonance spectrum of rubidium optically pumped magnetometer." In Second International Conference on Sensors and Information Technology (ICSI 2022), edited by Lijia Pan. SPIE, 2022. http://dx.doi.org/10.1117/12.2637503.

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Cao, Ji, and Adrian M. Ionescu. "Self-aligned double-gate suspended-body carbon nanotube field-effect-transistors for RF applications." In TRANSDUCERS 2011 - 2011 16th International Solid-State Sensors, Actuators and Microsystems Conference. IEEE, 2011. http://dx.doi.org/10.1109/transducers.2011.5969810.

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Lahalle, Aude, Fabrizio Fontaneto, and Tony Arts. "CFD Driven Analysis of a Multi-Port Pressure Probe for Real Engine Testing." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-64166.

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During the development phase of an aircraft engine, extensive ground and flight instrumentation testing is performed. The performance of the instrumentation is quantified in terms of Recovery Factor (RF). Experimental data only provide measurement at the sensor location, but no information is available for the flow field taking place in and around the probe. The scope of the present paper is to numerically investigate the flow field taking place inside and around a three Kiel heads rake. The study will focus on the description of the flow field and aims at highlighting the mechanisms affecting the RF. Each head has an elliptical casing and contains a pressure sensor (pneumatic pressure tap) and a temperature sensor (thermocouple). Steady-state RANS simulations have been realized for two different Mach numbers (M = 0.30 and M = 0.65), providing a complete mesh and turbulence models sensitivity analysis. The simulated global flow field demonstrated that regardless of the Mach number, the flow topology is very similar in all cases. The Kiel heads investigation highlighted a well guided flow field confirming the sensors’ high performance.

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Звіти організацій з теми "RF field sensors"

Dippold, Marcel, Makrina A. Chairopoulou, Maximilian Drexler,, Michael Scheiber, and Holger Ruckdäschel. From vibrating molecules to a running shoe: connecting dielectric properties with process feedback in radio-frequency welding of TPU bead foams. Universidad de los Andes, December 2024. https://doi.org/10.51573/andes.pps39.gs.pfm.1.

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Besides new material solutions, innovative processing technologies are key for working towards a more sustainable future for bead foam products. Compared to standard steam chest molding, innovative radio frequency (RF) welding shows great potential based on its direct energy input, which results in reduced energy consumption. Thus, the present study provides fundamental insights into the correlation of dielectric properties of expanded thermoplastic polyurethane (ETPU) bead foams with the processing behavior. Impedance spectroscopy is used to analyze the complex relative permittivity 𝜀𝜀!∗ of both polymer and respective beads. The dielectric properties of polymers are dictated by their molecular structure and hence resulting dipoles. Thus, significant dependency on temperature and frequency is observed due to changes in chain flexibility and therefore alignment with the oscillating electromagnetic field. As cellular structures, the introduction of a second air phase leads to generally attenuated values at equal trends. Within the RF process, changes, predominantly in the imaginary part of 𝜀𝜀!∗ from initial starting temperatures up to welding, are directly reflected in the power curve as process feedback. Furthermore, temperature evolution and derived heating rate within the bead foams demonstrate excellent conformity with previous results with minor deviations due to the thermal inertia of the fiber optic temperature sensor.

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Gee, G., and J. Skorpik. CRADA with Instrumentation Northwest, Inc. and Pacific Northwest National Laboratory (PNL-123): Field Demonstration of a Water Potential Sensor and an RF Telemetry System for Use in Irrigated Agriculture. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/770369.

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