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Journal articles on the topic 'Sensing technologies'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

KYUMA, Kazuo. "Laser sensing technologies." Review of Laser Engineering 15, no. 6 (1987): 392–96. http://dx.doi.org/10.2184/lsj.15.392.

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2

Shah, Dipen. "Evolution of Force Sensing Technologies." Arrhythmia & Electrophysiology Review 6, no. 2 (2017): 75. http://dx.doi.org/10.15420/aer.2017.8.2.

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In order to improve the procedural success and long-term outcomes of catheter ablation techniques for atrial fibrillation (AF), an important unfulfilled requirement is to create durable electrophysiologically complete lesions. Measurement of contact force (CF) between the catheter tip and the target tissue can guide physicians to optimise both mapping and ablation procedures. Contact force can affect lesion size and clinical outcomes following catheter ablation of AF. Force sensing technologies have matured since their advent several years ago, and now allow the direct measurement of CF between the catheter tip and the target myocardium in real time. In order to obtain complete durable lesions, catheter tip spatial stability and stable contact force are important. Suboptimal energy delivery, lesion density/contiguity and/or excessive wall thickness of the pulmonary vein-left atrial (PV-LA) junction may result in conduction recovery at these sites. Lesion assessment tools may help predict and localise electrical weak points resulting in conduction recovery during and after ablation. There is increasing clinical evidence to show that optimal use of CF sensing during ablation can reduce acute PV re-conduction, although prospective randomised studies are desirable to confirm long-term favourable clinical outcomes. In combination with optimised lesion assessment tools, contact force sensing technology has the potential to become the standard of care for all patients undergoing AF catheter ablation.
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3

Shah, Dipen. "Evolution of Force Sensing Technologies." Arrhythmia & Electrophysiology Review 6, no. 2 (2017): 75. http://dx.doi.org/10.15420/aer.2017:8:2.

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In order to improve the procedural success and long-term outcomes of catheter ablation techniques for atrial fibrillation (AF), an important unfulfilled requirement is to create durable electrophysiologically complete lesions. Measurement of contact force (CF) between the catheter tip and the target tissue can guide physicians to optimise both mapping and ablation procedures. Contact force can affect lesion size and clinical outcomes following catheter ablation of AF. Force sensing technologies have matured since their advent several years ago, and now allow the direct measurement of CF between the catheter tip and the target myocardium in real time. In order to obtain complete durable lesions, catheter tip spatial stability and stable contact force are important. Suboptimal energy delivery, lesion density/contiguity and/or excessive wall thickness of the pulmonary vein-left atrial (PV-LA) junction may result in conduction recovery at these sites. Lesion assessment tools may help predict and localise electrical weak points resulting in conduction recovery during and after ablation. There is increasing clinical evidence to show that optimal use of CF sensing during ablation can reduce acute PV re-conduction, although prospective randomised studies are desirable to confirm long-term favourable clinical outcomes. In combination with optimised lesion assessment tools, contact force sensing technology has the potential to become the standard of care for all patients undergoing AF catheter ablation.
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4

Abbasian, Firouz, Ebrahim Ghafar-Zadeh, and Sebastian Magierowski. "Microbiological Sensing Technologies: A Review." Bioengineering 5, no. 1 (March 2, 2018): 20. http://dx.doi.org/10.3390/bioengineering5010020.

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5

Yang, Ming. "Sensing Technologies for Metal Forming." Sensors and Materials 31, no. 10 (October 25, 2019): 3121. http://dx.doi.org/10.18494/sam.2019.2399.

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6

Gaur, Anshul, Abhishek Singh, Ashok Kumar, Kishor S. Kulkarni, Sayantani Lala, Kamal Kapoor, Vishal Srivastava, Anuj Kumar, and Subhas Chandra Mukhopadhyay. "Fire Sensing Technologies: A Review." IEEE Sensors Journal 19, no. 9 (May 1, 2019): 3191–202. http://dx.doi.org/10.1109/jsen.2019.2894665.

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7

Penza, Michele, Giorgio Sberveglieri, Wojtek Wlodarski, and Yongxiang Li. "Nanomaterials for Chemical Sensing Technologies." Journal of Sensors 2009 (2009): 1–2. http://dx.doi.org/10.1155/2009/924941.

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8

Rayhana, Rakiba, Gaozhi Xiao, and Zheng Liu. "RFID Sensing Technologies for Smart Agriculture." IEEE Instrumentation & Measurement Magazine 24, no. 3 (May 2021): 50–60. http://dx.doi.org/10.1109/mim.2021.9436094.

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9

Fan, Yu-Cheng. "Emerging Sensing Technologies in Consumer Electronics." Sensors 21, no. 22 (November 19, 2021): 7689. http://dx.doi.org/10.3390/s21227689.

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10

Perez, Alfredo J., and Sherali Zeadally. "Recent Advances in Wearable Sensing Technologies." Sensors 21, no. 20 (October 14, 2021): 6828. http://dx.doi.org/10.3390/s21206828.

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Wearable sensing technologies are having a worldwide impact on the creation of novel business opportunities and application services that are benefiting the common citizen. By using these technologies, people have transformed the way they live, interact with each other and their surroundings, their daily routines, and how they monitor their health conditions. We review recent advances in the area of wearable sensing technologies, focusing on aspects such as sensor technologies, communication infrastructures, service infrastructures, security, and privacy. We also review the use of consumer wearables during the coronavirus disease 19 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and we discuss open challenges that must be addressed to further improve the efficacy of wearable sensing systems in the future.
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11

Flor, Omar, Héctor Palacios, Franyelit Suárez, Katherine Salazar, Luis Reyes, Mario González, and Karina Jiménez. "New Sensing Technologies for Grain Moisture." Agriculture 12, no. 3 (March 9, 2022): 386. http://dx.doi.org/10.3390/agriculture12030386.

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In this review, we present a description of conventional technologies and new advances for the estimation and sense of moisture content in grains. The operating principles, accuracies and response times are described. The review considers an exhaustive search of scientific developments and patent registrations. It was concluded that most of the new developments correspond to methods of which the measurement principles are based on the analysis of the electrical characteristics of the grains. In addition, new methods of image analysis have been implemented that provide measurements with reduced response times and with precisions of utility for its application in the agro-industrial field. In addition to this, wireless communication technologies have been implemented that allow the implementation of moisture measurement methods in moving grains within processing chains.
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12

Aplin, Paul, and Doreen Boyd. "Innovative Technologies for Terrestrial Remote Sensing." Remote Sensing 7, no. 4 (April 22, 2015): 4968–72. http://dx.doi.org/10.3390/rs70404968.

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13

Gomez, Elizabeth Avery. "Sensing Technologies for Societal Well-Being." International Journal of Interdisciplinary Telecommunications and Networking 3, no. 2 (April 2011): 76–84. http://dx.doi.org/10.4018/jitn.2011040106.

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Sensing technologies by design are calibrated for accuracy against an expected measurement scale. Sensor calibration and signal processing criteria are one type of sensor data, while the sensor readings are another. Ensuring data accuracy and precision from sensors is an essential, ongoing challenge, but these issues haven’t stopped the potential for pervasive application use. Technological advances afford an opportunity for sensor data integration as a vehicle for societal well-being and the focus of ongoing research. A lean and flexible architecture is needed to acquire sensor data for societal well-being. As such, this research places emphasis on the acquisition of environmental sensor data through lean application programming protocols (APIs) through services such as SMS, where scant literature is presented. The contribution of this research is to advance the research that integrates sensor data with pervasive applications.
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14

Ciminelli, Caterina, Francesco Dell'Olio, Carlo E. Campanella, and Mario N. Armenise. "Photonic technologies for angular velocity sensing." Advances in Optics and Photonics 2, no. 3 (June 2, 2010): 370. http://dx.doi.org/10.1364/aop.2.000370.

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15

Park, Jong Hyuk, Han-Chieh Chao, Sajid Hussain, and Neil Y. Yen. "Pervasive Sensing Technologies and Emerging Trends." International Journal of Distributed Sensor Networks 10, no. 5 (January 2014): 303805. http://dx.doi.org/10.1155/2014/303805.

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16

Johnson, E. A. C., R. H. C. Bonser, and G. Jeronimidis. "Recent advances in biomimetic sensing technologies." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1893 (April 28, 2009): 1559–69. http://dx.doi.org/10.1098/rsta.2009.0005.

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The importance of biological materials has long been recognized from the molecular level to higher levels of organization. Whereas, in traditional engineering, hardness and stiffness are considered desirable properties in a material, biology makes considerable and advantageous use of softer, more pliable resources. The development, structure and mechanics of these materials are well documented and will not be covered here. The purpose of this paper is, however, to demonstrate the importance of such materials and, in particular, the functional structures they form. Using only a few simple building blocks, nature is able to develop a plethora of diverse materials, each with a very different set of mechanical properties and from which a seemingly impossibly large number of assorted structures are formed. There is little doubt that this is made possible by the fact that the majority of biological ‘materials’ or ‘structures’ are based on fibres and that these fibres provide opportunities for functional hierarchies. We show how these structures have inspired a new generation of innovative technologies in the science and engineering community. Particular attention is given to the use of insects as models for biomimetically inspired innovations.
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17

Carvalho, Wildemar S. P., Menglian Wei, Nduka Ikpo, Yongfeng Gao, and Michael J. Serpe. "Polymer-Based Technologies for Sensing Applications." Analytical Chemistry 90, no. 1 (December 11, 2017): 459–79. http://dx.doi.org/10.1021/acs.analchem.7b04751.

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18

Asirvatham, Samuel J., K. L. Venkatachalam, and Suraj Kapa. "Remote Monitoring and Physiologic Sensing Technologies." Cardiac Electrophysiology Clinics 5, no. 3 (September 2013): xi—xii. http://dx.doi.org/10.1016/j.ccep.2013.07.001.

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19

Takai, Hideyuki. "Sensing Technologies for Railway Track Maintenance." IEEJ Transactions on Sensors and Micromachines 127, no. 11 (2007): 467–71. http://dx.doi.org/10.1541/ieejsmas.127.467.

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20

Bogue, Robert. "Environmental sensing: strategies, technologies and applications." Sensor Review 28, no. 4 (September 12, 2008): 275–82. http://dx.doi.org/10.1108/02602280810902550.

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21

Tomita, Nobuo. "Photonic sensing technologies for fiber networks." Optical Review 4, no. 1 (January 1997): A11—A15. http://dx.doi.org/10.1007/bf02935982.

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22

Zhu, Ting, Sheng Xiao, Qingquan Zhang, Yu Gu, Ping Yi, and Yanhua Li. "Emergent Technologies in Big Data Sensing: A Survey." International Journal of Distributed Sensor Networks 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/902982.

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When the number of data generating sensors increases and the amount of sensing data grows to a scale that traditional methods cannot handle, big data methods are needed for sensing applications. However, big data is a fuzzy data science concept and there is no existing research architecture for it nor a generic application structure in the field of sensing. In this survey, we explore many scattered results that have been achieved by combining big data techniques with sensing and present our vision of big data in sensing. Firstly, we outline the application categories to generally summarize existing research achievements. Then we discuss the techniques proposed in these studies to demonstrate challenges and opportunities in this field. Finally, we present research trends and list some directions of big data in future sensing. Overall, mobile sensing and its related studies are hot topics, but other large-scale sensing researches are flourishing too. Although there are no “big data” techniques acting as research platforms or infrastructures to support various applications, multiple data science technologies, such as data mining, crowd sensing, and cloud computing, serve as foundations and bases of big data in the world of sensing.
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23

Huang, M., Q. G. Wang, Q. B. Zhu, J. W. Qin, and G. Huang. "Review of seed quality and safety tests using optical sensing technologies." Seed Science and Technology 43, no. 3 (December 15, 2015): 337–66. http://dx.doi.org/10.15258/sst.2015.43.3.16.

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24

Arabshahi, Mona, Di Wang, Junbo Sun, Payam Rahnamayiezekavat, Weichen Tang, Yufei Wang, and Xiangyu Wang. "Review on Sensing Technology Adoption in the Construction Industry." Sensors 21, no. 24 (December 12, 2021): 8307. http://dx.doi.org/10.3390/s21248307.

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Sensing technologies demonstrate promising potential in providing the construction industry with a safe, productive, and high-quality process. The majority of sensing technologies in the construction research area have been focused on construction automation research in prefabrication, on-site operation, and logistics. However, most of these technologies are either not implemented in real construction projects or are at the very early stages in practice. The corresponding applications are far behind, even in extensively researched aspects such as Radio Frequency Identification, ultra-wideband technology, and Fiber Optic Sensing technology. This review systematically investigates the current status of sensing technologies in construction from 187 articles and explores the reasons responsible for their slow adoption from 69 articles. First, this paper identifies common sensing technologies and investigates their implementation extent. Second, contributions and limitations of sensing technologies are elaborated to understand the current status. Third, key factors influencing the adoption of sensing technologies are extracted from construction stakeholders’ experience. Demand towards sensing technologies, benefits and suitability of them, and barriers to their adoption are reviewed. Lastly, the governance framework is determined as the research tendency facilitating sensing technologies adoption. This paper provides a theoretical basis for the governance framework development. It will promote the sensing technologies adoption and improve construction performance including safety, productivity, and quality.
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25

Li, Hui, Wei Shi Zhang, Jin Yu Shi, and Xi Yuan Ma. "The Sensing Technologies in the Electric Vehicle Charging and Exchanging Station." Applied Mechanics and Materials 303-306 (February 2013): 1456–59. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1456.

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The Electric Vehicle Charging and Exchanging (EVCE) station is the important infrastructure for the Electric Vehicle (EV) industry. Meanwhile, the sensing technologies can effectively obtain the key parameters from kinds of smart devices, which make it very suitable for intelligent management in EVCE station system. In this paper, according to the environment and supporting technologies for EVCE station, we introduce the sensing technologies in detail, including technologies about EV battery sensing, EV sensing, charging/exchanging station sensing and charging pile sensing, etc. Practice shows that the sensing technology can effectively improve EVCE station intelligence.
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26

Iijima, Gouhei, and Sumihiro Ueda. "Sensing technologies in process control. (3). Application technologies of sereral sensors." Journal of the Japan Welding Society 60, no. 2 (1991): 139–45. http://dx.doi.org/10.2207/qjjws1943.60.139.

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27

TÜRKMEN, Halise, Muhammad Sohaib J. SOLAIJA, Armed TUSHA, and Hüseyin ARSLAN. "Wireless sensing – enabler of future wireless technologies." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 29, no. 1 (January 27, 2021): 1–17. http://dx.doi.org/10.3906/elk-2101-10.

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28

D’Aranno, P., A. Di Benedetto, M. Fiani, and M. Marsella. "REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 461–68. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-461-2019.

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<p><strong>Abstract.</strong> The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures. Monitoring actions are necessary to maintain safety conditions by controlling the evolution of deformation patterns or detecting significant instabilities. Remote sensing technique such as Differential Interferometry by Synthetic Aperture Radar (DInSAR) allows identifying environmental vulnerability and potential damages on large road infrastructures thus contributing to plan and optimize maintenance actions. DInSAR data allow to highlight instability processes and to quantify mean deformation velocities and displacement time series. This information can be analysed considering geotechnical and structural characteristics and adopted to evaluate possible safety condition improvement and damage mitigation. Using proximal remote sensing techniques, such as Light Detection And Ranging (LiDAR), it is possible to analyse the pavement conditions on 3D models derived from a dense point cloud acquired by Mobile Laser Scanner (MLS). By combining the DInSAR and LiDAR datasets a great improvement is expected in the capability to promptly identifying critical situations and understanding potential risks affecting extended road infrastructures. The principal aim of this paper is to provide a general overview of the most innovative remote sensing techniques for infrastructure safety condition assessments. Furthermore, a methodological approach to define a reliable procedure for data processing and integration is applied on a test area located in the municipality of Rome.</p>
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29

Vázquez, M., G. Badini, K. Pirota, J. Torrejón, A. Zhukov, A. Torcunov, H. Pfützner, et al. "Applications of amorphous microwires in sensing technologies." International Journal of Applied Electromagnetics and Mechanics 25, no. 1-4 (May 10, 2007): 441–46. http://dx.doi.org/10.3233/jae-2007-744.

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30

Leidner, Lothar. "Lei Wei (Ed.): Advanced fiber sensing technologies." Analytical and Bioanalytical Chemistry 414, no. 5 (November 24, 2021): 1743–44. http://dx.doi.org/10.1007/s00216-021-03761-2.

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31

Sun, Kai, Weicheng Cui, and Chi Chen. "Review of Underwater Sensing Technologies and Applications." Sensors 21, no. 23 (November 25, 2021): 7849. http://dx.doi.org/10.3390/s21237849.

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As the ocean development process speeds up, the technical means of ocean exploration are being upgraded. Due to the characteristics of seawater and the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply in the underwater environment directly. Especially for the seabed topography, it is impossible to carry out long-distance and accurate detection via electromagnetic waves. Therefore, various types of acoustic and even optical sensing devices for underwater applications have come into use. Equipped by submersibles, those underwater sensors can sense underwater wide-range and accurately. Moreover, the development of sensor technology will be modified and optimized according to the needs of ocean exploitation. This paper has made a summary of the ocean sensing technologies applied in some critical underwater scenarios, including geological surveys, navigation and communication, marine environmental parameters, and underwater inspections. In order to contain as many submersible-based sensors as possible, we have to make a trade-off on breadth and depth. In the end, the authors predict the development trend of underwater sensor technology based on the future ocean exploration requirements.
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32

OZAWA, SHINJI. "Data Gathering and Sensing Technologies in ITS." Journal of the Institute of Electrical Engineers of Japan 124, no. 12 (2004): 776–77. http://dx.doi.org/10.1541/ieejjournal.124.776.

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33

Banos, Oresti, Hermie Hermens, Christopher Nugent, and Hector Pomares. "Smart Sensing Technologies for Personalised e-Coaching." Sensors 18, no. 6 (May 29, 2018): 1751. http://dx.doi.org/10.3390/s18061751.

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34

Ohno, Kazunori. "Tough Sensing Technologies for Cyber-enhanced Canine." Journal of the Robotics Society of Japan 35, no. 10 (2017): 716–19. http://dx.doi.org/10.7210/jrsj.35.716.

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35

Lin, Gungun, Denys Makarov, and Oliver G. Schmidt. "Magnetic sensing platform technologies for biomedical applications." Lab on a Chip 17, no. 11 (2017): 1884–912. http://dx.doi.org/10.1039/c7lc00026j.

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36

Egami, Norifumi. "5-11 Expectation of Image Sensing Technologies." Journal of The Institute of Image Information and Television Engineers 64, no. 1 (2010): 52_2. http://dx.doi.org/10.3169/itej.64.52_2.

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37

Abdullah, Saeed, and Tanzeem Choudhury. "Sensing Technologies for Monitoring Serious Mental Illnesses." IEEE MultiMedia 25, no. 1 (January 2018): 61–75. http://dx.doi.org/10.1109/mmul.2018.011921236.

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38

Bogue, Robert. "Nanophotonic technologies driving innovations in molecular sensing." Sensor Review 38, no. 2 (March 19, 2018): 171–75. http://dx.doi.org/10.1108/sr-07-2017-0124.

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Purpose This paper aims to provide a technical insight into recent molecular sensor developments involving nanophotonic materials and phenomena. Design/methodology/approach Following an introduction, this highlights a selection of recent research activities involving molecular sensors based on nanophotonic technologies. It discusses chemical sensors, gas sensors and finally the role of nanophotonics in Raman spectroscopy. Brief concluding comments are drawn. Findings This shows that nanophotonic technologies are being applied to a diversity of molecular sensors and have the potential to yield devices with enhanced features such as higher sensitivity and reduced size. As several of these sensors can be fabricated with CMOS technology, potential exists for mass-production and significantly reduced costs. Originality/value This article illustrates how emerging nanophotonic technologies are set to enhance the capabilities of a diverse range of molecular sensors.
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39

De Vito, Luca. "Methods and technologies for wideband spectrum sensing." Measurement 46, no. 9 (November 2013): 3153–65. http://dx.doi.org/10.1016/j.measurement.2013.06.013.

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40

V., V. S. N. Sitaramgupta, Deepak Padmanabhan, Prasanna Simha Mohan Rao, and Hardik J. Pandya. "Force sensing technologies for catheter ablation procedures." Mechatronics 64 (December 2019): 102295. http://dx.doi.org/10.1016/j.mechatronics.2019.102295.

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41

Hammer, Annette, Detlev Heinemann, Carsten Hoyer, Rolf Kuhlemann, Elke Lorenz, Richard Müller, and Hans Georg Beyer. "Solar energy assessment using remote sensing technologies." Remote Sensing of Environment 86, no. 3 (August 2003): 423–32. http://dx.doi.org/10.1016/s0034-4257(03)00083-x.

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42

Lee, W. S., V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, and C. Li. "Sensing technologies for precision specialty crop production." Computers and Electronics in Agriculture 74, no. 1 (October 2010): 2–33. http://dx.doi.org/10.1016/j.compag.2010.08.005.

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43

Cote, G. L., R. M. Lec, and M. V. Pishko. "Emerging biomedical sensing technologies and their applications." IEEE Sensors Journal 3, no. 3 (June 2003): 251–66. http://dx.doi.org/10.1109/jsen.2003.814656.

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44

Lenzen, Rudi. "Sensing technologies bring new features to appliances." Sensor Review 24, no. 2 (June 2004): 144–50. http://dx.doi.org/10.1108/02602280410525931.

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45

Baek, Hyun Jae, Ahyoung Choi, Jilong Kuang, and Heenam Yoon. "Unobtrusive Sensing Technologies for the Lifecare Solution." Journal of Healthcare Engineering 2019 (July 9, 2019): 1–2. http://dx.doi.org/10.1155/2019/7597190.

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46

Dominguez, E., and S. Alcock. "Sensing technologies for contaminated sites and groundwater." Biosensors and Bioelectronics 17, no. 6-7 (June 2002): 625–33. http://dx.doi.org/10.1016/s0956-5663(02)00011-8.

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47

Fujishima, Makoto, Katsuhiko Ohno, Shizuo Nishikawa, Kimiyuki Nishimura, Masataka Sakamoto, and Kengo Kawai. "Study of sensing technologies for machine tools." CIRP Journal of Manufacturing Science and Technology 14 (August 2016): 71–75. http://dx.doi.org/10.1016/j.cirpj.2016.05.005.

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48

Bhowmik, Achintya K., Selim BenHimane, Gershom Kutliroff, Chaim Rand, and Hon Pong Ho. "Advances in 3D-Sensing Technologies and Applications." Information Display 31, no. 6 (November 2015): 6–10. http://dx.doi.org/10.1002/j.2637-496x.2015.tb00854.x.

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49

Floros, George, and Athanasios Tziouvaras. "Special Issue “Smart IC Design and Sensing Technologies”." Chips 1, no. 3 (October 20, 2022): 172–74. http://dx.doi.org/10.3390/chips1030011.

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Smart sensing technologies and their inherent data-processing techniques have drawn considerable research and industrial attention in recent years. Recent developments in nanometer CMOS technologies have shown great potential to deal with the increasing demand of processing power that arises in these sensing technologies, from IoT applications to complicated medical devices. Moreover, circuit implementation, which could be based on a full analog or digital approach or, in most cases, on a mixed-signal approach, possesses a fundamental role in exploiting the full capabilities of sensing technologies. In addition, all circuit design methodologies include the optimization of several performance metrics, such as low power, low cost, small area, and high throughput, which impose critical challenges in the field of sensor design. This Special Issue aims to highlight advances in the development, modeling, simulation, and implementation of integrated circuits for sensing technologies, from the component level to complete sensing systems.
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50

Bogue, Rob. "New technologies for robotic tactile sensing and navigation." Industrial Robot: the international journal of robotics research and application 48, no. 4 (June 4, 2021): 478–83. http://dx.doi.org/10.1108/ir-03-2021-0054.

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Purpose This aims to provide details of new sensor technologies and developments with potential applications in robotic tactile sensing and navigation. Design/methodology/approach Following a short introduction, this provides examples of tactile sensing research. This is followed by details of research into inertial sensors and other navigation techniques. Finally, brief conclusions are drawn. Findings This shows that tactile sensing and navigation techniques are the topic of a technologically diverse research effort which has prospects to impart various classes of robots with significantly enhanced capabilities. Originality/value This provides a technically detailed insight into recent sensor research with applications in robotic tactile sensing and navigation.
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