Relevant bibliographies by topics / Single-station

Academic literature on the topic 'Single-station'

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Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Single-station"

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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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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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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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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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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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Dissertations / Theses on the topic "Single-station"

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Uwamahoro, Jean Claude. "Single station TEC modelling during storm conditions." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/d1020325.

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It has been shown in ionospheric research that modelling total electron content (TEC) during storm conditions is a big challenge. In this study, mathematical equations were developed to estimate TEC over Sutherland (32.38⁰S, 20.81⁰E), during storm conditions, using the Empirical Orthogonal Function (EOF) analysis, combined with regression analysis. TEC was derived from GPS observations and a geomagnetic storm was defined for Dst ≤ -50 nT. The inputs for the model were chosen based on the factors that influence TEC variation, such as diurnal, seasonal, solar and geomagnetic activity variation, and these were represented by hour of the day, day number of the year, F10.7 and A index respectively. The EOF model was developed using GPS TEC data from 1999 to 2013 and tested on different storms. For the model validation (interpolation), three storms were chosen in 2000 (solar maximum period) and three others in 2006 (solar minimum period), while for extrapolation six storms including three in 2014 and three in 2015 were chosen. Before building the model, TEC values for the selected 2000 and 2006 storms were removed from the dataset used to construct the model in order to make the model validation independent on data. A comparison of the observed and modelled TEC showed that the EOF model works well for storms with non-significant ionospheric TEC response and storms that occurred during periods of low solar activity. High correlation coefficients between the observed and modelled TEC were obtained showing that the model covers most of the information contained in the observed TEC. Furthermore, it has been shown that the EOF model developed for a specific station may be used to estimate TEC over other locations within a latitudinal and longitudinal coverage of 8.7⁰ and 10.6⁰ respectively. This is an important result as it reduces the data dimensionality problem for computational purposes. It may therefore not be necessary for regional storm-time TEC modelling to compute TEC data for all the closest GPS receiver stations since most of the needed information can be extracted from measurements at one location.
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Pimentel, Benjamin A. "Passive Geolocation in a 4G WIMAX Single Base Station Scenario." Thesis, Monterey, California. Naval Postgraduate School, 2003. http://hdl.handle.net/10945/53779.

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The proliferation of Fourth Generation (4G) mobile wireless networks has led to an increased demand for position-based services. In many densely populated environments, there is an abundance of base stations by which a mobile station may be passively geographically located (geolocated) using various techniques that require multiple base stations. Areas in which base station density is sparse may not possess the requisite number of base stations to perform such techniques and, therefore, require different methods by which to geolocate mobile stations. In this thesis, we present a passive geolocation scheme that only requires observation of the initial ranging information exchange between a mobile station and a single base station in order to determine a position estimate for the mobile station. The scheme is specifically applied to the Institute of Electrical and Electronics Engineers (IEEE) 802.16 Worldwide Interoperability for Microwave Access (WiMAX) 4G standard. The method is validated through computer simulation and field experimentation in an Alcatel-Lucent IEEE 802.16e-2005 deployed network. The mean geolocation error resulting from simulation and experimentation was 85 meters, which is a degradation of 58 meters compared to a three-base station scenario.
Captain, United States Marine Corps
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Hennig, Matthias, Henri Kirmse, and Klaus Janschek. "Global Localization of an Indoor Mobile Robot with a single Base Station." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-83687.

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The navigation tasks in advanced home robotic applications incorporating reliable revisiting strategies are dependent on very low cost but nevertheless rather accurate localization systems. In this paper a localization system based on the principle of trilateration is described. The proposed system uses only a single small base station, but achieves accuracies comparable to systems using spread beacons and it performs sufficiently for map building. Thus it is a standalone system and needs no odometry or other auxiliary sensors. Furthermore a new approach for the problem of the reliably detection of areas without direct line of sight is presented. The described system is very low cost and it is designed for use in indoor service robotics. The paper gives an overview on the system concept and special design solutions and proves the possible performances with experimental results.
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Sellers, Charles E. "Single Station Assessment of Atmospheric Boundary Layer Properties in the Eastern Mediterranean Sea." Thesis, Monterey, California. Naval Postgraduate School, 1985. http://hdl.handle.net/10945/41330.

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The marine environment strongly affects the use of naval weapons and sensor systems. The ducting of electromagnetic energy is one of the most important influences in modern systems. The ability to describe the atmosphere is the first step in producing a realistic forecast. This study shows that in the eastern Mediterranean Sea the observed soundings appear to have a systematic error in the lower sections of the mixed layer. This, coupled with the synoptic scale changes in the atmosphere, causes single station forecasting scheme to fail. The thesis emphasizes two points: 1) the need for an accurate description of the atmosphere is paramount to any forecast. 2) the users of any single station forecast must use their knowledge of the models and compare the model results to the other information on hand to determine whether or not the prediction is reliable.
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Hickey, Kenneth J. "Ocean surface current estimation using a long-range, single-station, high-frequency ground wave radar." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0008/MQ42394.pdf.

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Feldmeier, Joel W. "Sources of wind variability at a single station in complex terrain during tropical cyclone passage." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/38926.

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Although Sasebo, Japans, harbor is usually a typhoon haven from tropical cyclone winds, due to terrain-blocking effects, in rare cases damaging winds occur that may be attributed to terrain channeling. Prediction techniques are developed and tested to improve forecast capability of maximum sustained winds and wind gusts that are the basis for tropical cyclone conditions of readiness. Verification observations from a site that was available during 19901998 were found to provide a false sense of security due to its urban location and 13 m anemometer height. Representing the Sasebo terrain effects with a large database of reanalysis winds had limited success unless the top 1000 wind speeds from each cardinal wind direction were used. A parametric wind model that utilized the JTWC wind radii to represent the wind profile shape resulted in better local wind prediction at Sasebo and a small, flat island, but demonstrated the requirement for a wind-reduction factor to represent frictional effects. This parametric wind model, which is multiplied by directionally-dependent acceleration factors to represent Sasebo terrain effects, was most successful for an independent sample of tropical cyclones passing within 200 nautical miles of Sasebo from 20112012 and for selected forecast case studies.
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Koksal, Murat Miran. "Positioning Based On Tracking Of Signal Parameters In A Single Base Station Wimax Network Using Fingerprinting." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612248/index.pdf.

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IEEE 802.16 is a point to multipoint broadband wireless access standard, designed from ground up for fast and reliable mobile networking. Several location-related MAC layer fields specified in the standard indicate that WiMAX networks can be convenient backbones for future positioning systems. Information encapsulated in MAC headers is especially important for single base station positioning systems which require fewer network resources than multiple reference station location systems, but need more location-related input data. In this thesis, an algorithm for positioning mobile stations in a single base station network is presented to investigate location capability of WiMAX systems. The algorithm makes use of fingerprinting to create a training database and seeks to find locations of mobile stations by tracking them according to their signal parameters. Experimental results give an idea about how a single base station positioning system performs in the absence of sufficient location-related data, and suggest that better results can be obtained if MAC headers specified in IEEE 802.16 standard can be accessed.
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Bahrampouri, Mahdi. "Ground Motion Prediction Equations for Non-Spectral Parameters using the KiK-net Database." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/87704.

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The KiK-net ground motion database is used to develop ground motion prediction equations for Arias Intensity (Ia), 5-95% Significant Duration (Ds5-95), and 5-75% Significant Duration (Ds5-75). Relationships are developed both for shallow crustal earthquakes and subduction zone earthquakes (hypocentral depth less than 45 km). The models developed consider site amplification using VS30 and the depth to a layer with VS=800 m/s (h800). We observe that the site effect for is magnitude dependent. For Ds5-95 and Ds5-75, we also observe strong magnitude dependency in distance attenuation. We compare the results with previous GMPEs for Japanese earthquakes and observe that the relationships are similar. The results of this study also allow a comparison between earthquakes in shallow-crustal regions, and subduction regions. This comparison shows that Arias Intensity has similar magnitude and distance scaling between both regions and generally Arias Intensity of shallow crustal motions are higher than subduction motions. On the other hand, the duration of shallow crustal motions are longer than subduction earthquakes except for records with large distance and small magnitude causative earthquakes. Because small shallow crustal events saturate with distance, ground motions with large distances and small magnitudes have shorter duration for shallow crustal events than subduction earthquakes.
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Lindfeldt, Olov. "Quality on single-track railway lines with passenger traffic : Anlytical model for evaluation of crossing stations and partial double-tracks." Licentiate thesis, KTH, School of Architecture and the Built Environment (ABE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4560.

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Railway transportation is showing a substantial increase. Investments in new infrastructure, new fast and comfortable vehicles, and high frequency of service are important factors behind the increase.

Infrastructure configuration and timetable construction play important roles in the competitiveness of railway transportation. This is especially true on single-track lines where the travel times and other timetable related parameters are severely restricted by crossings (train meetings). The crossings also make the lines’ operation more sensitive to disturbances.

Since the major part of the Swedish railway network is single-track it is of great interest to examine the relationships between operation properties, such as travel times and reliability, and infrastructure configuration on single-track lines. The crossings are the core feature of single-track operation and this thesis focuses on the crossing time, i.e. the time loss that occurs in crossing situations.

A simplified analytical model, SAMFOST, has been developed to calculate the crossing time as a function of infrastructure configuration, vehicle properties, timetable and delays for two crossing trains. The effect of possible surrounding trains is not taken into account and all kinds of congestion effects are thus excluded from evaluation. SAMFOST has been successfully validated against the simulation tool RailSys, which shows that this type of simplified model is accurate in non-congested situations.

A great advantage of disregarding congested situations is that analysis is independent of timetable assumptions. The model also explicitly shows the effect of punctuality, which is of particular importance on single-track lines where the interdependencies between trains are strengthened by the crossings.

For the same reason, the timetable is severely constrained. Nonetheless, there is often a need for changes of the timetable (crossing pattern). The thesis proposes three simple measures of timetable flexibility, all based on assigned crossing time requirements. Together, these measures can be used to evaluate how infrastructure configuration, vehicle properties, punctuality etc affect possibilities to alter the timetable.

As an example of its application, SAMFOST has been used to evaluate the effect of shorter inter-station distance, partial double-track and combined crossing and passenger stop. These measures affect the operational properties quite differently.

More crossing stations result in a minor decrease in travel time (lower mean crossing time) but significantly higher reliability (lower crossing time variance). These effects are independent of punctuality, which is a valuable property.

A partial double-track results in shorter travel times and in some cases also higher reliability. Both effects are strongly dependent on punctuality and high punctuality is needed to achieve high effects.

A combined crossing and passenger stop results in a situation similar to that of a partial double-track. In this case it is important to point out that the assignment of time supplements in the timetable should be directly correlated to punctuality in order to achieve good operation.

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Liu, Wenjiao. "Positioning performance of single-frequency GNSS receiver using Australian regional ionospheric corrections." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/102335/1/Wenjiao_Liu_Thesis.pdf.

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The thesis focuses on developing and validating a method that allows low-cost single-frequency GPS devices to improve the navigation accuracy of 5 to 10 metres to the submetre level. The method is based on the estimation of regional ionospheric corrections using widely distributed GPS stations in Australia. Mass-market users, such as smartphones and vehicle users can benefit from the developed approach.
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Books on the topic "Single-station"

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Wash, Carlyle H. Single-station forecasting with interactive computer systems. Monterey, Calif: Naval Postgraduate School, 1987.

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Ontario. Ministry of Natural Resources. Regional flood frequency analysis for Ontario streams: Single station analysis and index method. Toronto: Queen's Printer for Ontario, 1985.

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Solis, Julia. Scrub station: Stories. New York: Koja Press, 2002.

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Velleman, Paul, and Inc Data Description. ActivStats: 1999-2000 Release, Lab Version (single station license). 2nd ed. Addison-Wesley Pub Co, 1999.

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Laboratories, Underwriters, ed. Standard for single and multiple station carbon monoxide detectors. [s.l.]: Underwriters Laboratories, 1992.

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Benjamin-Cummings Publishing Company Inc. Staff. I/P Web Site Licence Folder Single Station/Multi-User. Pearson Education, Limited, 2002.

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ZAO, PETER, and Timothy Stabler. PhysioEx 4.0 for A&P Web Version (Single Station Site License). Benjamin Cummings, 2002.

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Stabler, Timothy. PhysioEx 4.0 for Human Phys web version - Single Station Site License. Benjamin Cummings, 2002.

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Stabler, Timothy. Single Station Site License for Physioex 6.0 for Human Physiology Web Version. Benjamin-Cummings Publishing Company, 2005.

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ZAO, PETER, and Timothy Stabler. Single Station Site License for Physioex 6.0 for A&p Web Version. Benjamin-Cummings Publishing Company, 2005.

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Book chapters on the topic "Single-station"

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Chen, Hong, and David D. Yao. "Single-Station Queues." In Stochastic Modelling and Applied Probability, 125–58. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-5301-1_6.

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Dijk, Esko, Kees van Berkel, Ronald Aarts, and Evert van Loenen. "Ultrasonic 3D Position Estimation Using a Single Base Station." In Lecture Notes in Computer Science, 133–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39863-9_11.

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Tian, Zengshan, Yueyue Shu, Yong Li, Mu Zhou, and Ze Li. "Ring of Scatterers Based Localization Using Single Base Station." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 232–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90802-1_20.

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Ren, Bo, and Huan Li. "UKF Applied in Target Tracking Based on Single Observation Station." In Advances in Wireless Communications and Applications, 49–57. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5697-5_6.

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Chen, Guoping, Xiaogong Hu, Yong Huang, Yong Yu, Zhenghong Tang, Zhongping Zhang, and Yezhi Song. "Single-Station Orbit Determination with Astrometric Positioning and SLR Techniques." In Lecture Notes in Electrical Engineering, 381–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33663-8_38.

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Jiang, Qiufei, and Zhanfei Yan. "Optimal Design of Intelligent Production Line Based on Single-Station Assembly." In Proceedings of the Eighth Asia International Symposium on Mechatronics, 802–12. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1309-9_79.

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Xie, Ting, Zhiqiang Dai, and Xiangwei Zhu. "A Single-Station Ionospheric Forecast Model with LSTM Considering Multiple Factors." In Lecture Notes in Electrical Engineering, 230–40. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2576-4_20.

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Sleeman, Reinoud, and Torild van Eck. "Single station real-time P and S phase pickers for seismic observatories." In Methods and Applications of Signal Processing in Seismic Network Operations, 173–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/bfb0117702.

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Bao, Yadong, Changjian Liu, Hongzhou Chai, and Xu Feng. "VTEC Modeling and Analysis for Single Station Based on Moving Time Window." In Lecture Notes in Electrical Engineering, 611–18. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0940-2_53.

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Dong, Yuhua, and Jifeng Ding. "Atmospheric Refraction Correction of Optical Measuring Single Station Using Reference GPS Data." In Advances in Mechanical and Electronic Engineering, 61–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31528-2_10.

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Conference papers on the topic "Single-station"

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MCCLAIN, W., D. CARTER, and P. CEFOLA. "Single station orbit determination for Landsat 6." In Astrodynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-2923.

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Fotouhimehr, M., E. Shabani, N. Mirzaei, and E. Haghshenas. "Single Station Ambient Noise Observations in Tehran." In 74th EAGE Conference and Exhibition incorporating EUROPEC 2012. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20148932.

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Wang, Cong, Zhanglong Chen, and Qiufei Yan. "Research on Single Station Passive Location Technology." In 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP). IEEE, 2021. http://dx.doi.org/10.1109/icsip52628.2021.9688762.

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Zuojun, Yang, and Zhang Shu. "Single-station passive location based on equivalent SNR." In 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6058093.

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Han, Hai-li, and Bing Hu. "Strong approximation for a single-station multiserver queue." In 2012 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI). IEEE, 2012. http://dx.doi.org/10.1109/soli.2012.6273533.

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Chen, Mingli, Tao Lu, and Yaping Du. "Experimental study of single-station lightning locating technique." In 2011 7th Asia-Pacific International Conference on Lightning (APL). IEEE, 2011. http://dx.doi.org/10.1109/apl.2011.6111074.

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Zhang, Lingwen, and Zhenhui Tan. "An Improved Single Home Base Station Localization Method." In 2008 New Technologies, Mobility and Security (NTMS). IEEE, 2008. http://dx.doi.org/10.1109/ntms.2008.ecp.19.

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Fang, Xinding, and Le Tang. "A single station approach for subsurface anomaly detection." In First International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists, 2021. http://dx.doi.org/10.1190/segam2021-3574350.1.

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Cagnan, Zehra, and Sinan Akkar. "SINGLE STATION SIGMA FOR TURKISH STRONG MOTION STATIONS." In 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2017. http://dx.doi.org/10.7712/120117.5742.18420.

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Wei, He, Lian Baowang, and Xu Haowei. "Single station and single antenna direction measurement method assisted by path planning." In 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2015. http://dx.doi.org/10.1109/icspcc.2015.7338874.

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Reports on the topic "Single-station"

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Jasperson, William H., David E. Venne, and Miriam R. Peterson. A Single-Station Forecasting Model. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada256403.

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Perret, D. Single station H/V technique. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/291761.

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Jasperson, William H., and David E. Venne. A Single-Station Weather Forecasting Expert System. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada184889.

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Henry, Walter K., and Kenneth C. Brundidge. Methods of Single Station and Limited Data Analysis and Forecasting. Fort Belvoir, VA: Defense Technical Information Center, August 1985. http://dx.doi.org/10.21236/ada229322.

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Laxar, Kevin, S. M. Luria, and Marc B. Mandler. A Comparison of Simulated Parallax and Single-Station Range Aids to Navigation. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada239525.

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6

Berthel, Robert O. Predicting Lightning Events in the KSC Area: A Feasibility Study Using Single Station Data. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada271440.

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7

Pu, Zhaoxia. Retrieving 4-dimensional atmospheric boundary layer structure from surface observations and profiles over a single station. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1222919.

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8

Chapman, Martin C., Shaosong Huang, and J. A. Snoke. Single-Station Backazimuth Estimation from P- and Rg-Waves at Regional Distance in the Central Appalachians. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada278569.

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9

Perret, D. On the use of single station ambient noise techniques for microzonation purposes: the case of Montreal. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/291762.

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Zhuang, L. D., X. Nie, L. Y. Xu, and J. G. Nie. OPTIMIZATION OF IRREGULAR STRUCTURES WITH PASSIVE ENERGY DISSIPATION SYSTEM: A CASE STUDY OF SINGLE COLUMN ELEVATED STATION. The Hong Kong Institute of Steel Construction, December 2018. http://dx.doi.org/10.18057/icass2018.p.159.

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