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Journal articles on the topic 'Sensing Techniques'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Bujunuru, Anitha, and Srinivasulu Tadisetty. "Performance Analysis of Spectrum Sensing Techniques." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (2019): 355–61. http://dx.doi.org/10.5373/jardcs/v11/20192579.

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2

Soldovieri, Francesco, Jean Dumoulin, Nicola Masini, Raffaele Solimene, and Erica Utsi. "Noninvasive Sensing Techniques 2012." International Journal of Geophysics 2012 (2012): 1–2. http://dx.doi.org/10.1155/2012/817357.

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3

Hussein, Amr, Hossam Kasem, and Mohamed Adel. "Efficient spectrum sensing technique based on energy detector, compressive sensing, and de-noising techniques." International Journal of Engineering & Technology 6, no. 1 (2016): 1. http://dx.doi.org/10.14419/ijet.v6i1.6672.

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Highdata rate cognitive radio (CR) systems require high speed Analog-to-Digital Converters (ADC). This requirement imposes many restrictions on the realization of the CR systems. The necessity of high sampling rate can be significantly alleviated by utilizing analog to information converter (AIC). AIC is inspired by the recent theory of Compressive Sensing (CS), which states that a discrete signal has a sparse representation in some dictionary, which can be recovered from a small number of linear projections of that signal. This paper proposes an efficient spectrum sensing technique based on e

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4

Kaldybayev, A. "Methods of glacier mapping using remote sensing techniques: review." Journal of Geography and Environmental Management 41, no. 2 (2015): 92–96. http://dx.doi.org/10.26577/jgem.2015.224.

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5

Shiota, Yasuhito. "Sensing Techniques for Mechatronics Systems." Journal of Robotics and Mechatronics 1, no. 4 (1989): 338–42. http://dx.doi.org/10.20965/jrm.1989.p0338.

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6

Kurasawa, Kazuo. "Sensing Techniques for Visual Inspection." Journal of Robotics and Mechatronics 5, no. 2 (1993): 98–105. http://dx.doi.org/10.20965/jrm.1993.p0098.

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7

Tam, Andrew C. "Applications of photoacoustic sensing techniques." Reviews of Modern Physics 58, no. 2 (1986): 381–431. http://dx.doi.org/10.1103/revmodphys.58.381.

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8

Ziegler, Silvio, Robert C. Woodward, Herbert Ho-Ching Iu, and Lawrence J. Borle. "Current Sensing Techniques: A Review." IEEE Sensors Journal 9, no. 4 (2009): 354–76. http://dx.doi.org/10.1109/jsen.2009.2013914.

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9

Jain, Vijaylaxmi, Tanuja Dhope, and Bahubali Shiragapur. "Study on Spectrum Sensing Techniques." HELIX 9, no. 3 (2019): 2046–5051. http://dx.doi.org/10.29042/2019-5046-5051.

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10

Shang, Ying, Maocheng Sun, Chen Wang, et al. "Research Progress in Distributed Acoustic Sensing Techniques." Sensors 22, no. 16 (2022): 6060. http://dx.doi.org/10.3390/s22166060.

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Distributed acoustic sensing techniques based on Rayleigh scattering have been widely used in many applications due to their unique advantages, such as long-distance detection, high spatial resolution, and wide sensing bandwidth. In this paper, we provide a review of the recent advancements in distributed acoustic sensing techniques. The research progress and operation principles are systematically reviewed. The pivotal technologies and solutions applied to distributed acoustic sensing are introduced in terms of polarization fading, coherent fading, spatial resolution, frequency response, sign

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11

Karlsson, Karl-Göran. "Satellite sensing techniques and applications for the purpose of BALTEX." Meteorologische Zeitschrift 9, no. 2 (2000): 111–16. http://dx.doi.org/10.1127/metz/9/2000/111.

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12

Raja, Piyush, Dr Santosh Kumar, Digvijay Singh Yadav, Dr Amit Kumar, and Ram Krishna Kumar. "Intelligent Remote Sensing: Applications and Techniques." Journal of Image Processing and Intelligent Remote Sensing, no. 32 (March 31, 2023): 46–53. http://dx.doi.org/10.55529/jipirs.32.46.53.

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The development of remote sensing technologies over the last several decades has resulted in considerable improvements, which have made it possible for us to gather data of a high quality about the surface of the Earth and the characteristics it has. Yet, in terms of data processing and interpretation, the enormous volumes of data that are created by remote sensing devices provide a tremendous problem. The purpose of this paper is to provide a review of the most recent and cutting-edge techniques and applications of intelligent remote sensing. These techniques and applications aim to address t

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13

Upadhyaya, Vivek, and Dr Mohammad Salim. "Compressive Sensing: Methods, Techniques, and Applications." IOP Conference Series: Materials Science and Engineering 1099, no. 1 (2021): 012012. http://dx.doi.org/10.1088/1757-899x/1099/1/012012.

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14

Sriharsha, Mr K. V., and Dr N. V. Rao. "Water Management Using Remote Sensing Techniques." CVR Journal of Science & Technology 4, no. 1 (2013): 87–92. http://dx.doi.org/10.32377/cvrjst0417.

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15

Kureta, Masatoshi. "Development of Neutron Visual Sensing Techniques." hamon 19, no. 4 (2009): 218–23. http://dx.doi.org/10.5611/hamon.19.4_218.

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16

Lu, Hang, Dayou Li, John Oyekan, and Carsten Maple. "Integrated Sensing Techniques for Assistive Chairs." International Journal of Intelligent Mechatronics and Robotics 3, no. 4 (2013): 58–70. http://dx.doi.org/10.4018/ijimr.2013100104.

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This paper presents a survey of the contemporary assistive chairs and on-chair sensing approaches of capturing sit-to-stand (STS) movement. Sitting in a chair and standing up from a seated position are activities of daily living (ADLs) performed by humans. However, older people often encounter difficulties with these activities. These difficulties may cause substantial decreasing of the elderly mobility, leading to inactive participation in social activities and increasing the risk of chronic diseases that may cause premature death. Therefore, assisting older people to overcome these difficult

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17

Mishra, Shivangi, Priyanka Shrivastava, and Priyanka Dhurvey. "Change Detection Techniques in Remote Sensing." JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE 6, no. 2 (2016): 51. http://dx.doi.org/10.14801/jaitc.2016.6.2.51.

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18

Corp, Lawrence A., Elizabeth M. Middleton, James E. McMurtrey, Petya K. Entcheva Campbell, and L. Maryn Butcher. "Fluorescence sensing techniques for vegetation assessment." Applied Optics 45, no. 5 (2006): 1023. http://dx.doi.org/10.1364/ao.45.001023.

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19

Peña, Alfredo, Charlotte Bay Hasager, Sven-Erik Gryning, et al. "Offshore winds using remote sensing techniques." Journal of Physics: Conference Series 75 (July 1, 2007): 012038. http://dx.doi.org/10.1088/1742-6596/75/1/012038.

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20

Green, E. P., C. D. Clark, P. J. Mumby, A. J. Edwards, and A. C. Ellis. "Remote sensing techniques for mangrove mapping." International Journal of Remote Sensing 19, no. 5 (1998): 935–56. http://dx.doi.org/10.1080/014311698215801.

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21

Gillanders, Ross N., James M. E. Glackin, Janja Filipi, Nikola Kezic, Ifor D. W. Samuel, and Graham A. Turnbull. "Preconcentration techniques for trace explosive sensing." Science of The Total Environment 658 (March 2019): 650–58. http://dx.doi.org/10.1016/j.scitotenv.2018.12.160.

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22

Barbosa, Roberto N., John B. Wilkerson, Daniel C. Yoder, and H. Paul Denton. "Different sensing techniques for geomorphometric measurements." Computers and Electronics in Agriculture 59, no. 1-2 (2007): 13–20. http://dx.doi.org/10.1016/j.compag.2007.04.006.

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23

Reddy, B. Rami, Indumathi Kamma, and Praveena Kommidi. "Optical sensing techniques for temperature measurement." Applied Optics 52, no. 4 (2013): B33. http://dx.doi.org/10.1364/ao.52.000b33.

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24

Townshend, Alan. "Techniques and Mechanisms in Gas Sensing." Analytica Chimica Acta 272, no. 2 (1993): 347–48. http://dx.doi.org/10.1016/0003-2670(93)80591-8.

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25

Rixon, R. C. "Optical sensing techniques and signal processing." Optics and Lasers in Engineering 8, no. 2 (1988): 143. http://dx.doi.org/10.1016/0143-8166(88)90051-6.

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26

Hristoforou, E., and D. Niarchos. "Amorphous wires in displacement sensing techniques." Journal of Magnetism and Magnetic Materials 116, no. 1-2 (1992): 177–88. http://dx.doi.org/10.1016/0304-8853(92)90162-h.

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27

Chen, Hejun. "Application of remote sensing techniques in lithology identification in Almeria." Applied and Computational Engineering 7, no. 1 (2023): 264–73. http://dx.doi.org/10.54254/2755-2721/7/20230469.

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Remote sensing is emerging as an important method of information extraction in the field of lithology identification as a technology that can provide a cost-effective way of detecting and monitoring the physical characteristics of an area. This paper uses remote sensing techniques for lithology identification in Almeria, discusses the flaws and applicability of remote sensing techniques, and proposes a combined remote sensing approach. The lithological results identified by remote sensing indicate that northern Almeria is dominated by metamorphic and carbonate rock and the southern part is pre

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28

Aswini, N., E. Krishna Kumar, and S. V. Uma. "UAV and obstacle sensing techniques – a perspective." International Journal of Intelligent Unmanned Systems 6, no. 1 (2018): 32–46. http://dx.doi.org/10.1108/ijius-11-2017-0013.

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Purpose The purpose of this paper is to provide an overview of unmanned aerial vehicle (UAV) developments, types, the major functional components of UAV, challenges, and trends of UAVs, and among the various challenges, the authors are concentrating more on obstacle sensing methods. This also highlights the scope of on-board vision-based obstacle sensing for miniature UAVs. Design/methodology/approach The paper initially discusses the basic functional elements of UAV, then considers the different challenges faced by UAV designers. The authors have narrowed down the study on obstacle detection

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29

Prasad, J. V. D., Babu Sallagundla, and Raghuvira Pratap A. "Multi-Feature Processing Techniques with Information Mining From Remote Sensing Images." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12 (2019): 97–106. http://dx.doi.org/10.5373/jardcs/v11i12/20193217.

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30

S J, Dr Naresh Kumar. "Mapping of Vector Borne Diseases using GIS and Remote Sensing Techniques." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 06, no. 1 (2016): 39. http://dx.doi.org/10.58739/jcbs/v06i1.9.

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Vector-borne diseases accounts for more than 17% of all infectious diseases in the world causing more than 1 million deaths annually. Around 2.5 billion people in over 100 countries are at a risk of contracting dengue alone. Ma-laria causes more than 4 lakh deaths every year globally and most of in them children of under 5 years. Around 13,000 cases of malaria are being reported annually in Karnataka state for the past few years. Kolar is declared by NVBDCP as one among the 13 malaria endemic districts in Karnataka state

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31

Chen, Songyue, Hepeng Dong, and Jing Yang. "Surface Potential/Charge Sensing Techniques and Applications." Sensors 20, no. 6 (2020): 1690. http://dx.doi.org/10.3390/s20061690.

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Surface potential and surface charge sensing techniques have attracted a wide range of research interest in recent decades. With the development and optimization of detection technologies, especially nanosensors, new mechanisms and techniques are emerging. This review discusses various surface potential sensing techniques, including Kelvin probe force microscopy and chemical field-effect transistor sensors for surface potential sensing, nanopore sensors for surface charge sensing, zeta potentiometer and optical detection technologies for zeta potential detection, for applications in material p

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32

Kaur, Mandeep. "A Survey of Remote Sensing Image Classification Techniques Using AI Techniques." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 2144–48. http://dx.doi.org/10.22214/ijraset.2021.36830.

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Subsequently Terrain Classification is one of the most liberal aspects of Remote Sensing in the field of Artificial Intelligence. Remote sensing image classification is the wide range area which first sense the part of image that is going to be classified afterwards classification takes place. The purpose of remote sensing is to get information out from the object without being coming in a direct contact with the object. The purpose of the classification process is the categorization of all the pixels in an image into several land cover classes, as well as the themes. The data that is to be ca

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33

Zhou, Cheng, Zecai Lin, Shaoping Huang, Bing Li, and Anzhu Gao. "Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis." Biosensors 12, no. 11 (2022): 943. http://dx.doi.org/10.3390/bios12110943.

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Advancements in robotic surgery help to improve the endoluminal diagnosis and treatment with minimally invasive or non-invasive intervention in a precise and safe manner. Miniaturized probe-based sensors can be used to obtain information about endoluminal anatomy, and they can be integrated with medical robots to augment the convenience of robotic operations. The tremendous benefit of having this physiological information during the intervention has led to the development of a variety of in vivo sensing technologies over the past decades. In this paper, we review the probe-based sensing techni

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34

Lahiri, Hiya, and Kingshuk Basu. "Supramolecular Sensing Platforms: Techniques for In Vitro Biosensing." ChemEngineering 8, no. 4 (2024): 66. http://dx.doi.org/10.3390/chemengineering8040066.

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Supramolecular chemistry is a relatively new field of study that utilizes conventional chemical knowledge to produce new edges of smart materials. One such material use of supramolecular chemistry is the development of sensing platforms. Biologically relevant molecules need frequent assessment both qualitatively and quantitatively to explore several biological processes. In this review, we have discussed supramolecular sensing techniques with key examples of sensing several kinds of bio-analytes and tried to cast light on how molecular design can help in making smart materials. Moreover, how t

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35

Bian, Sizhen, Mengxi Liu, Bo Zhou, and Paul Lukowicz. "The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey." Sensors 22, no. 12 (2022): 4596. http://dx.doi.org/10.3390/s22124596.

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Human activity recognition (HAR) has become an intensive research topic in the past decade because of the pervasive user scenarios and the overwhelming development of advanced algorithms and novel sensing approaches. Previous HAR-related sensing surveys were primarily focused on either a specific branch such as wearable sensing and video-based sensing or a full-stack presentation of both sensing and data processing techniques, resulting in weak focus on HAR-related sensing techniques. This work tries to present a thorough, in-depth survey on the state-of-the-art sensing modalities in HAR tasks

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36

Scandurra, Graziella, Janusz Smulko, and Laszlo B. Kish. "Fluctuation-Enhanced Sensing (FES): A Promising Sensing Technique." Applied Sciences 10, no. 17 (2020): 5818. http://dx.doi.org/10.3390/app10175818.

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Fluctuation-enhanced sensing (FES) is a very powerful odor and gas sensing technique and as such it can play a fundamental role in the control of environments and, therefore, in the protection of health. For this reason, we conduct a comprehensive survey on the state-of-the-art of the FES technique, highlighting potentials and limits. Particular attention is paid to the dedicated instrumentation necessary for the application of the FES technique and also in this case limits and possible future developments are highlighted. In particular, we address resolution, measurement speed, reproducibilit

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37

Jiao, Zehua. "The Application of Remote Sensing Techniques in Ecological Environment Monitoring." Highlights in Science, Engineering and Technology 81 (January 26, 2024): 449–55. http://dx.doi.org/10.54097/7dqegz64.

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As global environmental challenges continue to escalate, remote sensing technology has become an indispensable tool for researching, monitoring, and managing these issues. This article aims to summarize the principles of various remote sensing technologies, their primary application areas, and their crucial role in ecological and environmental conservation for sustainable development. Remote sensing technology offers a diverse array of data from multiple sources and scales, facilitating the monitoring of natural resource changes, studying ecosystem health, and assessing the impact of human act

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38

Liu, Hui, Wuping Liu, and Yi Cao. "Application of Image Processing Techniques in Agricultural Remote Sensing UAVs." Journal of Intelligence and Knowledge Engineering 2, no. 2 (2024): 6–9. http://dx.doi.org/10.62517/jike.202404202.

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This study aims to explore the application of image processing techniques in agricultural remote sensing UAVs to improve the accuracy and usability of agricultural remote sensing data. Through literature review and empirical research, the current application status, advantages, and challenges of image processing techniques in agricultural remote sensing UAVs were systematically studied. The study first analyzed and summarized the principles and characteristics of image processing techniques, and then conducted case studies and field investigations on their specific applications in image prepro

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39

Palombo, Angelo, Stefano Pignatti, Angela Perrone, Francesco Soldovieri, Tony Alfredo Stabile, and Simone Pascucci. "Noninvasive Remote Sensing Techniques for Infrastructures Diagnostics." International Journal of Geophysics 2011 (2011): 1–9. http://dx.doi.org/10.1155/2011/204976.

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The present paper aims at analyzing the potentialities of noninvasive remote sensing techniques used for detecting the conservation status of infrastructures. The applied remote sensing techniques are ground-based microwave radar interferometer and InfraRed Thermography (IRT) to study a particular structure planned and made in the framework of the ISTIMES project (funded by the European Commission in the frame of a joint Call “ICT and Security” of the Seventh Framework Programme). To exploit the effectiveness of the high-resolution remote sensing techniques applied we will use the high-frequen

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40

Chen, Shen-En, Paul Sumitro, and Chuck Boyle. "Remote sensing techniques for geo-problem applications." Japanese Geotechnical Society Special Publication 2, no. 3 (2016): 207–11. http://dx.doi.org/10.3208/jgssp.tc302-05.

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41

Rutzinger, M., B. Höfle, R. Lindenbergh, et al. "CLOSE-RANGE SENSING TECHNIQUES IN ALPINE TERRAIN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-6 (June 6, 2016): 15–22. http://dx.doi.org/10.5194/isprsannals-iii-6-15-2016.

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Early career researchers such as PhD students are a main driving force of scientific research and are for a large part responsible for research innovation. They work on specialized topics within focused research groups that have a limited number of members, but might also have limited capacity in terms of lab equipment. This poses a serious challenge for educating such students as it is difficult to group a sufficient number of them to enable efficient knowledge transfer. To overcome this problem, the Innsbruck Summer School of Alpine Research 2015 on close-range sensing techniques in Alpine t

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42

YU Xian-chuan, 余先川, 吕中华 LV Zhong-hua, and 胡丹 HU Dan. "Review of remote sensing image registration techniques." Optics and Precision Engineering 21, no. 11 (2013): 2960–72. http://dx.doi.org/10.3788/ope.20132111.2960.

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43

Middya, Asif Iqbal, and Sarbani Roy. "Spatial Interpolation Techniques on Participatory Sensing Data." ACM Transactions on Spatial Algorithms and Systems 7, no. 3 (2021): 1–32. http://dx.doi.org/10.1145/3457609.

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Spatial distributions of data of natural phenomena can be estimated by using different spatial interpolation techniques. These techniques can be used for the purpose of developing urban noise pollution monitoring applications, so they can truly describe the actual urban noise pollution scenario of any region of interest to make effective and informed decisions. In this context, our aim is to use IoT-cloud based framework to generate dynamic (i.e., changes in terms of time and space) noise maps as a service with the help of spatial interpolation techniques. Noise map generation is an effective

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44

ShahnawazShaikh, Md, and Kamlesh Gupta. "Analysis of Cognitive Radio Spectrum Sensing Techniques." International Journal of Computer Applications 102, no. 12 (2014): 1–7. http://dx.doi.org/10.5120/17864-8805.

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45

KOBAYASHI, Takao, Nobuo SUGIMOTO, and Hiroaki KUZE. "Laser Remote Sensing Techniques of Leak Gases." Review of Laser Engineering 33, no. 5 (2005): 295–99. http://dx.doi.org/10.2184/lsj.33.295.

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46

Rutzinger, M., B. Höfle, R. Lindenbergh, et al. "CLOSE-RANGE SENSING TECHNIQUES IN ALPINE TERRAIN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-6 (June 6, 2016): 15–22. http://dx.doi.org/10.5194/isprs-annals-iii-6-15-2016.

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Early career researchers such as PhD students are a main driving force of scientific research and are for a large part responsible for research innovation. They work on specialized topics within focused research groups that have a limited number of members, but might also have limited capacity in terms of lab equipment. This poses a serious challenge for educating such students as it is difficult to group a sufficient number of them to enable efficient knowledge transfer. To overcome this problem, the Innsbruck Summer School of Alpine Research 2015 on close-range sensing techniques in Alpine t

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47

Ning, Y. N., Z. P. Wang, A. W. Palmer, K. T. V. Grattan, and D. A. Jackson. "Recent progress in optical current sensing techniques." Review of Scientific Instruments 66, no. 5 (1995): 3097–111. http://dx.doi.org/10.1063/1.1145537.

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48

HASHIGUCHI, Hiroyuki. "Remote Sensing Techniques of Winds: Wind Profiler." Wind Engineers, JAWE 34, no. 3 (2009): 333–36. http://dx.doi.org/10.5359/jawe.34.333.

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49

Zhang, J., W. Wagner, A. Prakash, H. Mehl, and S. Voigt. "Detecting coal fires using remote sensing techniques." International Journal of Remote Sensing 25, no. 16 (2004): 3193–220. http://dx.doi.org/10.1080/01431160310001620812.

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50

Kokare, Sheetal, and R. D. Kamble. "Spectrum Sensing Techniques in Cognitive Radio Cycle." International Journal of Engineering Trends and Technology 9, no. 1 (2014): 16–20. http://dx.doi.org/10.14445/22315381/ijett-v9p204.

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