Journal articles: 'Single-station'

1

Atkinson, G. M. "Single-Station Sigma." Bulletin of the Seismological Society of America 96, no. 2 (April 1, 2006): 446–55. http://dx.doi.org/10.1785/0120050137.

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Agius, M. R., and P. Galea. "A Single-Station Automated Earthquake Location System at Wied Dalam Station, Malta." Seismological Research Letters 82, no. 4 (July 1, 2011): 545–59. http://dx.doi.org/10.1785/gssrl.82.4.545.

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Lockman, A. B. "Single-Station Earthquake Characterization for Early Warning." Bulletin of the Seismological Society of America 95, no. 6 (December 1, 2005): 2029–39. http://dx.doi.org/10.1785/0120040241.

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4

Hartse, Hans E., W. Scott Phillips, Michael C. Fehler, and Leigh S. House. "Single-station spectral discrimination using coda waves." Bulletin of the Seismological Society of America 85, no. 5 (October 1, 1995): 1464–74. http://dx.doi.org/10.1785/bssa0850051464.

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Abstract Spectral discrimination methods applied at regional distances are based on the observation that there is a difference in the frequency content of the seismic waves radiated from the source region of earthquakes and explosions. We have investigated a spectral discrimination method that exploits the scattered energy contained in the event codas of seismograms to measure the relative source excitation of earthquakes and explosions as a function of frequency. Key strengths of the coda method include the following: (1) it is not affected by source radiation pattern because the scattering process averages the radiation over the focal sphere, (2) path corrections are not required with the coda method because coda waves are scattered throughout a common crustal volume, (3) it can be successfully applied using data from only a single station, and (4) it can be successfully applied using data with clipped direct arrivals. To implement the coda method, we first estimate a “type curve,” which represents the average shape of all the individual coda decay curves for a particular frequency band. The shape of the type curve (as well as the shape of all individual coda decay curves) is controlled by the scattering and attenuation properties of the crustal volume sampled by the coda waves (a common path effect). The amplitude of the type curve is not defined, and we arbitrarily adjust it to have a zero mean. The amplitude difference between an individual event coda decay curve and the type curve provides a relative measure of the event's source size within the particular frequency band. We define this amplitude difference as the “relative source factor.” Our approach exploits all of an event's usable coda for each spectral measurement, thus providing a more stable measure of relative source size than could be obtained from using a predefined, fixed-length time window. Analysis of 27 Nevada Test Site explosions and 15 southern Great Basin earthquakes (3.1 ≦ M ≦ 4.7), shows that the source factor difference between the 0.5- to 1- and 2- to 4-Hz bands plotted against the 1- to 2-Hz source factor is a stable event discriminant. The method reliably distinguishes small explosions from small earthquakes (3.0 < M < 3.5), even if the explosions are overburied. Because the coda method requires only one seismic station, we believe that it would be especially useful in identifying small, clandestine underground nuclear tests that occur far from established networks.

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May, Peter T., Richard G. Strauch, and Bod L. Weber. "Single station radar ocean surface current mapper." Deep Sea Research Part B. Oceanographic Literature Review 38, no. 9 (January 1991): 806. http://dx.doi.org/10.1016/s0198-0254(09)90067-x.

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Brundell, James B., Craig J. Rodger, and Richard L. Dowden. "Validation of single-station lightning location technique." Radio Science 37, no. 4 (August 2002): 12–1. http://dx.doi.org/10.1029/2001rs002477.

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7

Magotra, N., N. Ahmed, and E. Chael. "Single-station seismic event detection and location." IEEE Transactions on Geoscience and Remote Sensing 27, no. 1 (1989): 15–23. http://dx.doi.org/10.1109/36.20270.

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8

Mackay, C., and A. C. Fraser-Smith. "World coverage for single station lightning detection." Radio Science 46, no. 3 (May 25, 2011): n/a. http://dx.doi.org/10.1029/2010rs004600.

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9

Fu, Xiao Dong, and Chong Chang Yang. "Research on Automatic Single-Station Shoveling Spinneret Machine." Applied Mechanics and Materials 556-562 (May 2014): 2536–39. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2536.

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The automatic cleaning technology of melt spinning process status was introduced in this paper. The problem was analyzed that the cleaning efficiency of manual cleaning is unstable using the previous shoveling spinneret. A new automatic cleaning device was developed called automatic shoveling spinneret machine and the operating principle of the automatic shoveling spinneret machine is described. The machine can replace manual cleaning through a company's test.

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FUKUSHIMA, Takeshi, Daisuke SUETSUGU, and Ichiro NAKANISHI. "Single station moment tensor inversion for near earthquakes." Journal of Physics of the Earth 36, no. 3 (1988): 125–33. http://dx.doi.org/10.4294/jpe1952.36.125.

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Luzi, L., D. Bindi, R. Puglia, F. Pacor, and A. Oth. "Single-Station Sigma for Italian Strong-Motion Stations." Bulletin of the Seismological Society of America 104, no. 1 (January 21, 2014): 467–83. http://dx.doi.org/10.1785/0120130089.

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12

Sun, Yimao, and Qun Wan. "Position Determination for Moving Transmitter Using Single Station." IEEE Access 6 (2018): 61103–16. http://dx.doi.org/10.1109/access.2018.2876323.

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13

Roberts, R. G., and A. Christoffersson. "Decomposition of complex single-station three-component seismograms." Geophysical Journal International 103, no. 1 (October 1990): 55–74. http://dx.doi.org/10.1111/j.1365-246x.1990.tb01752.x.

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14

Castellaro, Silvia. "Soil and structure damping from single station measurements." Soil Dynamics and Earthquake Engineering 90 (November 2016): 480–93. http://dx.doi.org/10.1016/j.soildyn.2016.08.005.

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15

Ingolfsson, A., E. Erkut, and S. Budge. "Simulation of single start station for Edmonton EMS." Journal of the Operational Research Society 54, no. 7 (July 2003): 736–46. http://dx.doi.org/10.1057/palgrave.jors.2601574.

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16

MEEK, D., and J. HATFIELD. "Data quality checking for single station meteorological databases☆." Agricultural and Forest Meteorology 69, no. 1-2 (June 1994): 85–109. http://dx.doi.org/10.1016/0168-1923(94)90083-3.

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17

Rafalsky, V. A., A. P. Nickolaenko, A. V. Shvets, and M. Hayakawa. "Location of lightning discharges from a single station." Journal of Geophysical Research 100, no. D10 (1995): 20829. http://dx.doi.org/10.1029/95jd01532.

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18

Zhao, Ya Hong, and Hai Feng Gao. "Analysis and Research of Single Base Station CORS Precision." Applied Mechanics and Materials 405-408 (September 2013): 3027–31. http://dx.doi.org/10.4028/www.scientific.net/amm.405-408.3027.

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Around the single station CORS system, a series of relevant experiments were conducted, the measurement was analyzed. Through base station as the center, different distances of single base station GPS-RTK measurement were carried on , the radius of actual operation and its changing law with the base station distance were obtained concluded , the measurement precision was Obtained by measuring static GPS control points,; the measurement actual coverage area positioning accuracy was confirmed, Internal, extern al accord accuracy was calculated and analyzed., the system actual service radius and The extent of different range accuracy was obtained . the results show that the single base station system is more suitable for the development of small and medium-sized cities, its actual operating radius is 28km, it can completely satisfy the city one or two traverse survey in 18 km.

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19

Xie, Y., Y. Wang, B. Wu, P. Zhu, and X. You. "Hybrid mobile station location methods for single base station multiple-input multiple-output communication systems." IET Communications 4, no. 6 (2010): 697. http://dx.doi.org/10.1049/iet-com.2009.0505.

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20

Mayeda, Kevin. "mb(LgCoda): A stable single station estimator of magnitude." Bulletin of the Seismological Society of America 83, no. 3 (June 1, 1993): 851–61. http://dx.doi.org/10.1785/bssa0830030851.

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Abstract Stable single-station estimates of magnitude have been made using the 1-Hz Lg coda envelope of regionally recorded nuclear explosions from the Nevada Test Site (NTS). After empirical relations describing the Lg coda envelope were found for each NTS-station path, single station magnitudes based on the Lg coda envelope were made with precision in the range of 0.03 to 0.04 magnitude units, whereas magnitudes based on third peak Lg amplitude, rms Lg amplitude, and Pn amplitude had scatter on the order of 0.15 to 0.2 magnitude units, generally five times larger than the coda scatter. Despite the high station correlations, the magnitude-yield residuals for events above the water table using the network average mb(LgCoda) were only marginally better than the other magnitude estimates, roughly 10% smaller. Magnitude-yield residual for events above the water table between mb(LgCoda) and mb(Lg) are strongly correlated suggesting that the source region properties, such as gas porosity, affect both magnitudes. Using only a single station, the standard deviation for magnitude-yield residuals using mb(LgCoda) were roughly 25% smaller than those derived from mb(Lg) or mb(Pn). These results show that the method is ideally suited to monitoring efforts in sparsely instrumented regions where little is known about the lateral variations of medium properties.

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21

Sung, Chih‐Hsuan, and Chyi‐Tyi Lee. "Improvement of the Quantification of Epistemic Uncertainty Using Single‐Station Ground‐Motion Prediction Equations." Bulletin of the Seismological Society of America 109, no. 4 (June 18, 2019): 1358–77. http://dx.doi.org/10.1785/0120180044.

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Abstract The results of probabilistic seismic hazard analysis (PSHA) are sensitive to the standard deviation of the residuals of the ground‐motion prediction equations (GMPEs), especially for long‐return periods. Recent studies have proven that the epistemic uncertainty should be incorporated into PSHA using a logic‐tree method instead of mixing it with the aleatory variability. In this study, we propose using single‐station GMPEs with a novel approach (an epistemic‐residual diagram) to improve the quantification of epistemic uncertainty per station. The single‐station attenuation model is established from the observational recordings of a single station, hence, site‐to‐site variability (σS) can be ignored. We use 20,006 records of 497 crustal earthquakes with moment magnitudes (Mw) greater than 4.0, obtained from the Taiwan Strong Motion Instrumentation Program network, to build the single‐station GMPEs for 570 stations showing the peak ground acceleration (PGA) and spectral accelerations. A comparison is made between the total sigma of the regional GMPE (σT), the single‐station sigma of the regional GMPE as estimated by the variance decomposition method (σSS), and the sigma of single‐station GMPEs (σSS,S), for different periods. For most stations (70%), the σSS,S is about 20%–50% smaller than the σT. Furthermore, we adopt the epistemic‐residual diagram to separate the σSS,S into the epistemic uncertainty (σEP,S) and the remaining unexplained variability (σSP,S) for each station. The results show that in most areas, the σSP,S for the PGA is about 50%–80% smaller than the σT. Finally, the variations in the various sigma and model coefficients are mapped with the geographical locations of the stations for analysis of different regional characteristics.

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22

Adams, E. N. "A Single Station Language Laboratory with Novel Control Characteristics." IALLT Journal of Language Learning Technologies 4, no. 2 (January 17, 2019): 12–22. http://dx.doi.org/10.17161/iallt.v4i2.8750.

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23

Zhao, Liangzhan, Yongyi Mao, and Ping Xu. "Single-station location algorithm based on secondary scatterer model." Journal of Computational Methods in Sciences and Engineering 18, no. 3 (August 7, 2018): 737–47. http://dx.doi.org/10.3233/jcm-180825.

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24

Salem Al-Bawri, Samir, Mohammad Tariqul Islam, Mandeep Jit Singh, Mohd Faizal Jamlos, Adam Narbudowicz, Max J. Ammann, and Dominique M. M. P. Schreurs. "RSS-Based Indoor Localization System with Single Base Station." Computers, Materials & Continua 70, no. 3 (2022): 5437–52. http://dx.doi.org/10.32604/cmc.2022.020781.

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25

Zhou, Biao, Lingyu Ai, Xiaobin Dong, and Le Yang. "DoA-Based Rigid Body Localization Adopting Single Base Station." IEEE Communications Letters 23, no. 3 (March 2019): 494–97. http://dx.doi.org/10.1109/lcomm.2019.2892738.

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26

Hiller, R., P. A. Bezyazeekov, N. M. Budnev, O. Fedorov, O. A. Gress, A. Haungs, T. Huege, et al. "Tunka-Rex: energy reconstruction with a single antenna station." EPJ Web of Conferences 135 (2017): 01004. http://dx.doi.org/10.1051/epjconf/201713501004.

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27

Zhang, Luxi, Yuanyuan Song, Yijun Li, and Qun Wan. "Single-Station TDOA Passive Location Under Multipath Propagation Conditions." IOP Conference Series: Materials Science and Engineering 685 (November 22, 2019): 012026. http://dx.doi.org/10.1088/1757-899x/685/1/012026.

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28

Bona, Massimo, and John Boatwright. "Single-station decomposition of seismograms for subevent time histories." Geophysical Journal International 105, no. 1 (April 1991): 103–17. http://dx.doi.org/10.1111/j.1365-246x.1991.tb03447.x.

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29

Singh, Charan Jeet, and Madhu Jain. "Single server unreliable queueing model with removable service station." International Journal of Operational Research 18, no. 4 (2013): 452. http://dx.doi.org/10.1504/ijor.2013.057486.

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30

Boccippio, D. J., C. Wong, E. R. Williams, R. Boldi, H. J. Christian, and S. J. Goodman. "Global validation of single-station Schumann resonance lightning location." Journal of Atmospheric and Solar-Terrestrial Physics 60, no. 7-9 (May 1998): 701–12. http://dx.doi.org/10.1016/s1364-6826(98)00035-2.

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31

Zafarani, H., and M. R. Soghrat. "Single-Station Sigma for the Iranian Strong Motion Stations." Pure and Applied Geophysics 174, no. 11 (July 12, 2017): 4077–99. http://dx.doi.org/10.1007/s00024-017-1613-z.

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32

Zhi-peng, Liang, Liu Cheng-zhi, Fan Cun-bo, and Sun Ming-guo. "TLE-Aided Orbit Determination Using Single-Station SLR Data." Chinese Astronomy and Astrophysics 36, no. 4 (October 2012): 417–25. http://dx.doi.org/10.1016/j.chinastron.2012.10.007.

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33

Fernan, J. C. "A description of the single exercise analysis station (SEAS)." Mathematical and Computer Modelling 23, no. 1-2 (January 1996): 47–53. http://dx.doi.org/10.1016/0895-7177(95)00215-4.

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34

Jones, J., and W. Jones. "Meteor radiant activity mapping using single-station radar observations." Monthly Notices of the Royal Astronomical Society 367, no. 3 (April 11, 2006): 1050–56. http://dx.doi.org/10.1111/j.1365-2966.2006.10025.x.

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35

Fitzgerald, D. L. "Single station and regional analysis of daily rainfall extremes." Stochastic Hydrology and Hydraulics 3, no. 4 (December 1989): 281–92. http://dx.doi.org/10.1007/bf01543461.

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36

De Plaen, Raphael S. M., Thomas Lecocq, Corentin Caudron, Valérie Ferrazzini, and Olivier Francis. "Single-station monitoring of volcanoes using seismic ambient noise." Geophysical Research Letters 43, no. 16 (August 28, 2016): 8511–18. http://dx.doi.org/10.1002/2016gl070078.

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37

Wang, Siyin, Yan Xu, Chaodi Xie, and Aitang Li. "Study TOMAS Cyclone Using Seismic Array and Single Station." Applied Sciences 13, no. 2 (January 9, 2023): 918. http://dx.doi.org/10.3390/app13020918.

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The continuous data from the YL array and four AU stations during the lifetime of the cyclone TOMAS in March 2010 were downloaded from IRIS. By performing frequency-wave number (F-K) analysis on the array data, it was found that the orientation of the maximum energy of the secondary microseisms (0.1~0.5 Hz) was consistent with the movement of TOMAS when the central wind speed reached the typhoon level. The high wind speed of the cyclone could generate secondary microseisms as well as the high swell. However, the large global earthquake can affect the microseismic observations using F-K. The AU stations have a better microseism observation than the YL array, which might be due to the vibrating and tilting of the hydrophone caused by the turbulence. The F-K analysis on microseisms can produce better slowness and back azimuth observations than polarization.

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38

Wen, Ze Jun, Fan Zhang, and Jia Hu. "Evaluation Method of Assembly Yield in Three-Dimension Single-Station Assembly Process Based on Number-Theoretical Net and 3DCS." Key Engineering Materials 579-580 (September 2013): 270–75. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.270.

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Evaluation method of assembly yield in three-dimension single-station assembly process is presented based on Number-Theoretical Net (NT-net) and 3DCS. Firstly, based on the analysis of fixture deviation affect assembly deviation under arbitrary layout, the three dimensional single-station assembly deviation model under arbitrary layout is developed. Then, the principle of generating good lattice point (GLP) based on NT-net method is introduced. Afterwards, taking fixture locating variations which are sampled using NT-net method for input vectors, the samples are substituted into assembly deviation model of dimension variation propagation in single-station assembly processes to get output vectors. The statistics for qualified sample is accomplished, after comparing output vectors with the variations of measuring points on component. Assembly yield in three-dimension single-station assembly processes is gained when qualified sample divided by total sample. Finally, a real case in sheet metal assembly is given as an example to calculate the assembly yield in three-dimension single-station assembly processes. The result is validated by 3DCS.

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Yun, Jae Kwang, Geun Dong Lee, Sehoon Choi, Hyeong Ryul Kim, Yong-Hee Kim, Dong Kwan Kim, and Seung-Il Park. "Comparison between lymph node station- and zone-based classification for the future revision of node descriptors proposed by the International Association for the Study of Lung Cancer in surgically resected patients with non-small-cell lung cancer." European Journal of Cardio-Thoracic Surgery 56, no. 5 (June 5, 2019): 849–57. http://dx.doi.org/10.1093/ejcts/ezz147.

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AbstractOBJECTIVESThe International Association for the Study of Lung Cancer (IASLC) proposed further subdivisions of pathological N1 (pN1) and pN2 by including the location and the number of involved lymph node (LN) stations. We adopted the subdivided N descriptors and reclassified them according to the involved LN zones or LN stations, and compared the discrimination abilities of the 2 classifications.METHODSA retrospective analysis was carried out on patients who underwent complete resection with systematic LN dissection for non-small cell lung cancer diagnosed as pathological stages I–III between 2006 and 2015. N classification was grouped into 6 categories: no LN involvement, single-station N1, multiple-station N1, single-station N2 without N1, single-station N2 with N1 and multiple-station N2. LN zones were defined by grouping the LN stations: peripheral or hilar for N1 nodes, and upper mediastinal, lower mediastinal, aortopulmonary and subcarinal for N2 nodes.RESULTSA total of 3971 patients (2451 men, median age: 63 years) were analysed. Median follow-up was 59 months. A multivariable analysis showed that the subdivided N descriptors based on LN station and zone were both independent prognostic factors in terms of both overall survival and freedom from recurrence. Whether multiple LN involvements were confined within a single LN zone was a significant prognostic factor in the multiple-station N2 group. A zone-based classification showed similar discrimination ability to the station-based classification.CONCLUSIONSBoth LN station- and zone-based classifications showed favourable prognostic discrimination abilities. The new N classifications could be considered for future revisions of tumour, node and metastasis (TNM) staging system for lung cancer.

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40

Tang, Rongnian, Yuke Ning, Chuang Li, Wen Feng, Youlong Chen, and Xiaofeng Xie. "Numerical Forecast Correction of Temperature and Wind Using a Single-Station Single-Time Spatial LightGBM Method." Sensors 22, no. 1 (December 28, 2021): 193. http://dx.doi.org/10.3390/s22010193.

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Achieving high-performance numerical weather prediction (NWP) is important for people’s livelihoods and for socioeconomic development. However, NWP is obtained by solving differential equations with globally observed data without capturing enough local and spatial information at the observed station. To improve the forecasting performance, we propose a novel spatial lightGBM (Light Gradient Boosting Machine) model to correct the numerical forecast results at each observation station. By capturing the local spatial information of stations and using a single-station single-time strategy, the proposed method can incorporate the observed data and model data to achieve high-performance correction of medium-range predictions. Experimental results for temperature and wind prediction in Hainan Province show that the proposed correction method performs well compared with the ECWMF model and outperforms other competing methods.

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Gomberg, J., G. Pavlis, and P. Bodin. "The strain in the array is mainly in the plane (waves below ∼1 Hz)." Bulletin of the Seismological Society of America 89, no. 6 (December 1, 1999): 1428–38. http://dx.doi.org/10.1785/bssa0890061428.

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Abstract We compare geodetic and single-station methods of measuring dynamic deformations and characterize their causes in the frequency bands 0.5-1.0 Hz and 4.0-8.0 Hz. The geodetic approach utilizes data from small-aperture seismic arrays, applying techniques from geodesy. It requires relatively few assumptions and a priori information. The single-station method uses ground velocities recorded at isolated or single stations and assumes all the deformation is due to plane-wave propagation. It also requires knowledge of the azimuth and horizontal velocity of waves arriving at the recording station. Data employed come from a small-aperture, dense seismic array deployed in Geyokcha, Turkmenistan, and include seismograms recorded by broadband STS2 and short-period L28 sensors. Poor agreement between geodetic and single-station estimates in the 4.0-8.0 Hz passband indicates that the displacement field may vary nonlinearly with distance over distances of ∼50 m. STS2 geodetic estimates provide a robust standard in the 0.5-1.0 Hz passband because they appear to be computationally stable and require fewer assumptions than single-station estimates. The agreement between STS2 geodetic estimates and single-station L28 estimates is surprisingly good for the S-wave and early surface waves, suggesting that the single-station analysis should be useful with commonly available data. These results indicate that, in the 0.5 to 1.0 Hz passband, the primary source of dynamic deformation is plane-wave propagation along great-circle source-receiver paths. For later arriving energy, the effects of scattering become important. The local structure beneath the array exerts a strong control on the geometry of the dynamic deformation, implying that it may be difficult to infer source characteristics of modern or paleoearthquakes from indicators of dynamic deformations. However, strong site control also suggests that the dynamic deformations may be predictable, which would be useful for engineering seismically resistant structures.

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42

Musundire, L., J. Derera, S. Dari, A. Lagat, and P. Tongoona. "Stability Assessment of Single-Cross Maize Hybrids Using GGE-Biplot Analysis." Journal of Agricultural Science 13, no. 2 (January 15, 2021): 78. http://dx.doi.org/10.5539/jas.v13n2p78.

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Grain yield potential of new maize hybrid varieties across target environments contributes to the uptake of these varieties by farmers. Evaluation of single-cross hybrids developed from test crossing introgressed inbred lines bred for three distinct environments to elite tropical inbred line testers was carried out. The study’s objective was to assess grain yield stability and genotype adaptability of the single-cross hybrids across South African environments relative to adapted commercial hybrid checks. One hundred and twenty-two introgressed inbred lines developed using the pedigree breeding program were crossed to four tropical elite inbred line testers using line × tester mating design to obtain 488 experimental single cross hybrids. Subject to availability of adequate seed for evaluation, a panel of 444 experimental single-cross hybrids was evaluated using an augmented design in two experiments defined as Population A and B for the study’s convenience in South African environments. Data for grain yield (t/ha) performance for experimental single-cross hybrids and commercial check hybrids in Population A and B across environments and individual environments identified experimental single-cross hybrids that had significant comparable grain yield (t/ha) performance relative to best commercial check hybrid (PAN6Q445B) on the market. The selected experimental single-cross hybrids 225, 89, 246 and 43 (Population A) and 112 (Population B) also had a better average rank position for grain yield (t/ha) relative to best commercial check hybrid. These selected experimental single-cross hybrids had a grain yield (t/ha) advantage range of 0.9-6.7% for Population A and 7.3% for Population A and B, respectively, relative to the adapted commercial check hybrid. GGE biplot patterns for which won-where for Population A indicated that at Potchefstroom Research Station and Ukulinga Research Station experimental single-cross hybrids 127 and135 were the vertex (winning) hybrids. Cedera Research Station did not have a vertex hybrid for Population A. For Population B, experimental single-cross hybrids 112, 117 and 18 were the vertex hybrids at Cedera Research Station, Ukulinga Research Station and Potchefstroom Research Station, respectively. Experimental single-cross hybrid 257 was identified as ideal genotype for Population A, while experimental single-cross hybrid 121 in Population B was the ideal genotype. Ideal environments were also identified as Ukulinga Research Station for Population A, and Cedera Research Station for Population B. Average-environment coordination (AEC) view of the GGE biplot in Population A indicated that experimental single-cross hybrids 1 was highly stable across environments. In comparison, Population B experimental single-cross hybrid 161 was highly stable across environments. In conclusion, selected single-cross hybrids in the current study can also be advanced for further evaluation with a possibility for identifying high yielding and stable single-cross hybrids for variety registration and release in target environments in South Africa.

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43

Liang, J., and L. Chen. "INDOOR POSITIONING METHOD BASED ON SINGLE BASE STATION AUDIO SIGNAL." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-3/W1-2022 (April 22, 2022): 105–10. http://dx.doi.org/10.5194/isprs-archives-xlvi-3-w1-2022-105-2022.

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Abstract. The growth of the Internet of Things has increased demand for location information services, but existing indoor positioning technology has limitations. The purpose of this paper is to discuss indoor positioning with a single audio base station and to propose an indoor positioning method based on signal strength. The proposed method is simple to use on smart phones, and the base station is straightforward to deploy. The base station transmits digital amplitude modulated signals in multiple directions using this method. Prior to the test, a database is created with the signal strengths measured at multiple points throughout the area to be evaluated. During the test, the terminal measures the signal strength and compares it to the database to determine the spatial position. Indoor dynamic and static tests are conducted to evaluate the method’s performance. The test results demonstrate that the positioning method is highly accurate and will meet the requirements for indoor location-based services.

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TAID, M., A. C. LYNGDOH, and A. K. GHOSE. "Determining earthquake epicentre from a single 3-component seismological station." MAUSAM 60, no. 1 (November 27, 2021): 81–88. http://dx.doi.org/10.54302/mausam.v60i1.1017.

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An attempt has been made in this study to determine the epicentres by trigonometrical method from a single station using the three components of the ground's motion recorded by the Benioff Short Period Seismograph of the World Wide Standardized Seismograph Network (WWSSN) at Central Seismological Observatory (C.S.O.), Shillong. The trigonometrical method is based on the angle of bearing obtained from the ratio of the amplitudes of waves recorded on the horizontal components of the WWSSN seismograms. A comparison of recorded epicentres from the I.M.D. Seismological Network of Seismo, New Delhi with that of a single station i.e., C.S.O., Shillong has been made to estimate the accuracy of the method. The characteristics of the epicentral variations obtained from the Seismological Network of Seismo, New Delhi with that of C.S.O., Shillong are relatively small for local earthquakes compared to regional earthquakes with C.S.O., Shillong as the reference station. The characteristics of the epicentral variations particularly in the Shillong plateau are observed to be minimum. Strong correlations of epicentres are observed for both local as well as regional earthquake events.

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Robinson, D. J., M. Sambridge, R. Snieder, and J. Hauser. "Relocating a Cluster of Earthquakes Using a Single Seismic Station." Bulletin of the Seismological Society of America 103, no. 6 (November 5, 2013): 3057–72. http://dx.doi.org/10.1785/0120130004.

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Xiaoli Hu, 胡小丽, 张玉伦 Yulun Zhang, 刘彪 Biao Liu, 王雨 Yu Wang, and 张思琪 Siqi Zhang. "Single-Station Pose-Processing Method Based on Object Distance Assistance." Acta Optica Sinica 39, no. 6 (2019): 0612004. http://dx.doi.org/10.3788/aos201939.0612004.

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Jong, Jong-Jin. "Study on the Development of CO-hybrid Single Station Detector." Journal of Korean Society of Hazard Mitigation 13, no. 6 (December 31, 2013): 265–70. http://dx.doi.org/10.9798/kosham.2013.13.6.265.

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Cander, Ljiljana R. "Mid-Latitude Single Station F region Storm Morphology and Forecast." Acta Geophysica 64, no. 2 (April 2016): 541–66. http://dx.doi.org/10.1515/acgeo-2016-0007.

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Hejny, C., L. Lundegaard, S. Falconi, and M. I. McMahon. "Single crystal studies using the 9.8 station at SRS Daresbury." Acta Crystallographica Section A Foundations of Crystallography 61, a1 (August 23, 2005): c133. http://dx.doi.org/10.1107/s0108767305094365.

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Duffy, A. G., R. L. Hawkes, and J. Jones. "The determination of shower meteor parameters from single station observations." Monthly Notices of the Royal Astronomical Society 228, no. 1 (September 1, 1987): 55–75. http://dx.doi.org/10.1093/mnras/228.1.55.

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Journal articles on the topic 'Single-station'

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