Academic literature on the topic 'Locating array'

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Journal articles on the topic "Locating array"

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Qi, Zong Feng, Wen Jie Zhong, and Yu Tang. "Bipartite Locating Array." Acta Mathematica Sinica, English Series 36, no. 2 (January 15, 2020): 179–88. http://dx.doi.org/10.1007/s10114-020-8522-2.

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Fang, Li Qing, Hong Kai Wang, and Kai Chen. "Design of Passive Acoustic Location System Based on Double Arrays." Advanced Materials Research 490-495 (March 2012): 1857–61. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1857.

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The biggest advantage passive acoustic positioning system based on single array is that it has high performance on orientation. However, its positioning error is usually larger. Locating based on multi-array not only gives more information to enhance the locating accurate, but also can eliminate the blind area generated by single array. So its locating performance is better than single-base array. In this paper, taking the system of double arrays for instance, built a passive acoustic positioning system, gave the plan of the system, and designed the tests to compare the accuracy between the single array and double arrays. According to the tests, it further verified that locating system based on double arrays has higher accuracy than the system of single array. And it also has high value engineering.
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Wang, Xing Wang, Bing Yi Sun, Bin Li, Li Li He, and Cheng Quan Hu. "An Acoustic Source Localization Method Based on Equal Distances Multi-Sensors Array." Applied Mechanics and Materials 214 (November 2012): 856–61. http://dx.doi.org/10.4028/www.scientific.net/amm.214.856.

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The traditional acoustic source is sensitive to time. A novel sound source location method using linear intersection spacing multi-sensors array is provided in this paper. Each array is composed of three spaced nodes, and least squares method is used to calculate the final position according to ternary array results. Multi-arrays method is more robust than the ternary one, and much wider scope is covered. Location scope extends from 120m to 800m when the relative positioning error is 10%. A multi-array group based on linear intersection sound source localization method is provided in this paper too. Experiment results show that the proposed method has higher precision on angle locating than distance locating.
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Fang, Li Qing, Hong Kai Wang, and Kai Chen. "Analysis of Directional Accuracy of Three Single Arrays." Advanced Materials Research 490-495 (March 2012): 1714–17. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1714.

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Acoustic sensoxr array technology is the one of the key technology of passive acoustic detection technology, whether the single array has a good performance on direction will directly affect the accuracy of the locating system. In order to choose the best single array on direction, in this paper, respectively selected representative plane array and spatial array from a number of typical single arrays to analyze, find out the advantages and disadvantages of two single arrays. On this basis, around the idea of integrating the advantage of symmetric spatial array and plane cross five-element array, according to characteristics of the structure of this two kinds of arrays to design a new locating model—spatial five-element array. And compared with two kinds of single array mentioned above, the results of comparison show that the locating accuracy of spatial five-elements array is superior to both kinds of mentioned, and have high engineering value.
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Fan, R. X., J. R. Miao, C. Zhao, and D. Xie. "Mismatch locating strategy of photovoltaic array." IOP Conference Series: Earth and Environmental Science 127 (March 2018): 012004. http://dx.doi.org/10.1088/1755-1315/127/1/012004.

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Cesbron, F., and R. Arnott. "Locating GSM mobiles using antenna array." Electronics Letters 34, no. 16 (1998): 1539. http://dx.doi.org/10.1049/el:19981090.

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Yin, Junhui, Chao Xiong, and Wenjie Wang. "Acoustic Localization for a Moving Source Based on Cross Array Azimuth." Applied Sciences 8, no. 8 (August 1, 2018): 1281. http://dx.doi.org/10.3390/app8081281.

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Acoustic localization for a moving source plays a key role in engineering applications, such as wildlife conservation and health protection. Acoustic detection methods provide an alternative to traditional radar and infrared detection methods. Here, an acoustic locating method of array signal processing based on intersecting azimuth lines of two arrays is introduced. The locating algorithm and the precision simulation of a single array shows that such a single array has good azimuth precision and bad range estimation. Once another array of the same type is added, the moving acoustic source can be located precisely by intersecting azimuth lines. A low-speed vehicle is used as the simulated moving source for the locating experiments. The length selection of short correlation and moving path compensation are studied in the experiments. All results show that the proposed novel method locates the moving sound source with high precision (<5%), while requiring fewer instruments than current methods.
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Buaka Muanke, Paulin, and Christopher Niezrecki. "Locating manatee position with an acoustic array." Journal of the Acoustical Society of America 119, no. 5 (May 2006): 3405. http://dx.doi.org/10.1121/1.4786762.

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Konishi, Tatsuya, Hideharu Kojima, Hiroyuki Nakagawa, and Tatsuhiro Tsuchiya. "Using simulated annealing for locating array construction." Information and Software Technology 126 (October 2020): 106346. http://dx.doi.org/10.1016/j.infsof.2020.106346.

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Werner, Claudia, and Erik H. Saenger. "Obtaining reliable source locations with time reverse imaging: limits to array design, velocity models and signal-to-noise ratios." Solid Earth 9, no. 6 (December 14, 2018): 1487–505. http://dx.doi.org/10.5194/se-9-1487-2018.

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Abstract. Time reverse imaging (TRI) is evolving into a standard technique for locating and characterising seismic events. In recent years, TRI has been employed for a wide range of applications from the lab scale, to the field scale and up to the global scale. No identification of events or their onset times is necessary when locating events with TRI; therefore, it is especially suited for locating quasi-simultaneous events and events with a low signal-to-noise ratio. However, in contrast to more regularly applied localisation methods, the prerequisites for applying TRI are not sufficiently known.To investigate the significance of station distributions, complex velocity models and signal-to-noise ratios with respect to location accuracy, numerous simulations were performed using a finite difference code to propagate elastic waves through three-dimensional models. Synthetic seismograms were reversed in time and reinserted into the model. The time-reversed wave field back propagates through the model and, in theory, focuses at the source location. This focusing was visualised using imaging conditions. Additionally, artificial focusing spots were removed using an illumination map specific to the set-up. Successful locations were sorted into four categories depending on their reliability. Consequently, individual simulation set-ups could be evaluated by their ability to produce reliable source locations.Optimal inter-station distances, minimum apertures, relations between the array and source locations, heterogeneities of inter-station distances and the total number of stations were investigated for different source depths and source types. Additionally, the accuracy of the locations was analysed when using a complex velocity model or a low signal-to-noise ratio.Finally, an array in southern California was investigated regarding its ability to locate seismic events at specific target depths while using the actual velocity model for that region. In addition, the success rate with recorded data was estimated.Knowledge about the prerequisites for using TRI enables the estimation of success rates for a given problem. Furthermore, it reduces the time needed to adjust stations to achieve more reliable locations and provides a foundation for designing arrays for applying TRI.
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Dissertations / Theses on the topic "Locating array"

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Bellino, Nicole Marie. "LOCATING BACKGROUND INTRAPLATE MICROSEISMICITY IN SOUTHERN ILLINOIS FROM A SMALL, SHORT DURATION,SEISMOGRAPH ARRAY." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/722.

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Seismicity occurs mainly around plate boundaries, but there are rare occurrences of large magnitude earthquakes with a plate. When and why these events occur is not well understood but they are capable of producing significant damage to these regions. Where these earthquakes occur, are known as intraplate seismic zones. In the American Midwest there are two seismically active intraplate seismic zones, the New Madrid and Wabash Valley seismic zones. Each of these zones is capable of producing large magnitude earthquakes though it has proven somewhat difficult to study intraplate seismicity because the reoccurrence intervals for intraplate events are much longer than interplate earthquakes, requiring a much longer timescale for study. One approach to avoid the longer timescale of observation is to focus on studying smaller events, which occur more often. However, these events will have their own disadvantages with less optimal signal-to-noise ratios which does not allow events to be located by the minimum three seismometers needed to triangulate the events epicenter. A potential solution to remedy this difficulty is to use methods using one-station events that go beyond the conventional ways of locating earthquakes and possibly improve locating microseismic events that normally go unnoticed. A small seismograph array was set up around Cedar Lake, in Makanda, Illinois. This location is situated southwest of the Wabash Valley seismic zone and north of the New Madrid seismic zone but is typically viewed as aseismic. The conventional method was used for finding events by triangulation on three months data from January 1, 2011 to March 31, 2011. Through triangulation there 14 events located in January, 10 in February, and 74 in March. In addition to triangulated events, event probabilities for one-station also applied events and located a few of these events via azimuth by utilizing three component seismometers. As a result the area closest to Cedar Lake exhibited a measurable amount of activity that was not detected through triangulation. Along the Pomona Fault there were numerous azimuth events located and a few triangulated events. A linear trend of events, both azimuth and triangulated, were depicted to possibly be an unknown fault in the areas that trend NW-SE through the north portion of Cedar Lake. The comparison of rainfall and seismicity suggest the possibility of a seasonal component in background seismicity. Through our study, utilizing the one-station events to locate areas of probability for events, and locating through azimuth, methods are able to improve upon when examining microseismicity in an intraplate setting.
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Dingus, Cheryl Ann Venard. "Designs and methods for the identification of active location and dispersion effects." Columbus, Ohio : Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1133203441.

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Amendolare, Vincent T. "Transactional Array Reconciliation Tomography for Precision Indoor Location." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-dissertations/92.

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This dissertation was conducted as part of the efforts related to WPI's Precision Personnel Location (PPL) project, the purpose of which is to locate emergency personnel in hazardous indoor environments using radio location techniques. The current PPL system prototype uses a radio transmitter worn by the personnel, indoors, and receivers on reference units, outdoors. This dissertation proposes a new system architecture with bidirectional radio transmissions to replace the current unidirectional system architecture. This allows the development of a synchronization scheme that can extract additional Time of Arrival (TOA) information for estimating the location of personnel. This dissertation also describes an extension of the multi-signal fusion technique previously used that incorporates this TOA information. At the cost of a more complicated mobile unit design, resultant benefits of this approach include rejection of signal reflectors as solutions, improved accuracy with limited reference unit geometries, improved noise rejection and significant computation reduction. In this dissertation the mathematical underpinnings of this approach are presented, a performance analysis is developed and the results are evaluated in the context of experimental data.
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Cavanaugh, Andrew F. "Inverse Synthetic Array Reconciliation Tomography." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-dissertations/278.

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This dissertation introduces Inverse Synthetic Array Reconciliation Tomography (ISART), an algorithm that exploits the short-time accuracy of inertial navigation systems (INS) and the time-stability of radio frequency (RF) positioning algorithms to achieve a high level of positioning accuracy. Novel array processing and data fusion techniques are employed to acheive performance far greater than RF and INS algorithms previously developed. This research is directed toward addressing the need for a viable tracking solution for firefighters and other first responders in urban and indoor environments. The approaches in this work are fundamentally different from other RF-INS fusion approaches, in the way we combine INS data with RF data. Rather than simply fusing the measurements from two systems that are estimating position (or states directly related to position) we use the inertial navigation data to improve the accuracy of our RF estimates at the signal level, before integrating them into an overall fusion system through the use of an extended Kalman filter (EKF). This work outlines the theoretical basis for ISART, and shows the results of simulations that support the claimed accuracy improvement of the ISART algorithm over existing methods. The viability of ISART in real world settings is then examined through the results of three field tests what were conducted in support of this research.
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Manikas, Athanassios. "Adaptive array processing for source location and interference cancellation." Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/11335.

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Chodoriwsky, Jacob N. "Error Locating Arrays, Adaptive Software Testing, and Combinatorial Group Testing." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23083.

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Combinatorial Group Testing (CGT) is a process of identifying faulty interactions (“errors”) within a particular set of items. Error Locating Arrays (ELAs) are combinatorial designs that can be built from Covering Arrays (CAs) to not only cover all errors in a system (each involving up to a certain number of items), but to locate and identify the errors as well. In this thesis, we survey known results for CGT, as well as CAs, ELAs, and some other types of related arrays. More importantly, we give several new results. First, we give a new algorithm that can be used to test a system in which each component (factor) has two options (values), and at most two errors are present. We show that, for systems with at most two errors, our algorithm improves upon a related algorithm by Mart´ınez et al. in terms of both robustness and efficiency. Second, we give the first adaptive CGT algorithm that can identify, among a given set of k items, all faulty interactions involving up to three items. We then compare it, performance-wise, to current-best nonadaptive method that can identify faulty interactions involving up to three items. We also give the first adaptive ELA-building algorithm that can identify all faulty interactions involving up to three items when safe values are known. Both of our new algorithms are generalizations of ones previously given by Mart´ınez et al. for identifying all faulty interactions involving up to two items.
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Lawson, Shannon Edward. "Distributed reconfiguration and fault diagnosis in cellular processing arrays." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06302009-040317/.

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Koski, Antti. "Near Optimal Indoor Localization With Coherent Array Reconciliation Tomography." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-dissertations/29.

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Our increased reliance on localization devices such as GPS navigation has led to an increased demand for localization solutions in all environments, including indoors. Indoor localization has received considerable attention in the last several years for a number of application areas including first responder localization to targeted advertising and social networking. The difficult multipath encountered indoors degrades the performance of RF based localization solutions and so far no optimal solution has been published. This dissertation presents an algorithm called Coherent Array Reconciliation Tomography (CART), which is a Direct Positioning Algorithm (DPA) that incorporates signal fusion to perform a simultaneous leading edge and position estimate for a superior localization solution in a high multipath environment. The CART algorithm produces position estimates that are near optimal in the sense that they achieve nearly the best theoretical accuracy possible using an Impulse Radio (IR) Ultra-Wideband (UWB) waveform. Several existing algorithms are compared to CART including a traditional two step Leading Edge Detection (LED) algorithm, Singular value Array Reconciliation Tomography (SART), and Transactional Array Reconciliation Tomography (TART) by simulation and experimentation. As shown under heavy simulated multipath conditions, where traditional LED produces a limited solution and the SART and TART algorithms fail, the CART algorithm produces a near statistically optimal solution. Finally, the CART algorithm was also successfully demonstrated experimentally in a laboratory environment by application to the fire fighter homing device that has been a part of the ongoing research at Worcester Polytechnic Institute (WPI).
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Breslin, Donald F. "Adaptive Antenna Arrays Applied to Position Location." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/9592.

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Wireless communication has enjoyed explosive growth over the past decade. As demands for increased capacity and quality grow, improved methods for harnessing the multipath wireless channel must be developed. The use of adaptive antenna arrays is one area that shows promise for improving capacity of wireless systems and providing improved safety through position location capabilities. These arrays can be used for interference rejection through spatial filtering, position location through direction finding measurements, and developing improved channel models through angle of arrival channel sounding measurements. This thesis provides an overview of the technical challenges involved in position location of wireless users and details the hardware development of a multi-sensor testbed at the Mobile and Portable Radio Research Group at Virginia Tech. This testbed is to be used for position location experiments as well as a host of other adaptive signal processing applications.
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Sakarya, Fatma Ayhan. "Passive source location estimation." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/13714.

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Books on the topic "Locating array"

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Kumar, Manoj. Locating earthquakes in Pakistan region using Gauribidanur Array Data: Significance of LG waves. Mumbai: Bhabha Atomic Research Centre, 2008.

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Segal, Mordechai. Optimal source localization and tracking using arrays with uncertainties in sensor locations. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1989.

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Lienert, Barry R. Evaluation of seismometer arrays for earthquake location. [Indianapolis, Ind.]: Dept. of Natural Resources, 1986.

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Moran, Mark L. Source location and tracking capability of a small seismic array. Hanover, N.H: U.S. Army Cold Regions Research and Engineering Laboratory, 1996.

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Bhadauria, Y. S. Near real time location and identification of subsurface chemical explosions using gauribidanur array data. Mumbai: Bhabha Atomic Research Centre, 2011.

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Bhadauria, Y. S. Improved location of Andaman-Nicobar and Sumatra earthquakes using new S-P time and distance relation derived from Gauribidanur array data. Mumbai: Bhabha Atomic Research Centre, 2007.

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Roy, Falguni. Seismic signal detection using K-means clustering algorithm. Mumbai: Bhabha Atomic Research Centre, 2009.

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Riley, Andrew George. Signal processing for towed arrays in the presence of imprecisely known sensor locations. Birmingham: University of Birmingham, 1992.

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Centre, Bhabha Atomic Research, ed. Locating earthquakes at regional distances from Gauribidanur array: Significance of LG waves. Mumbai: Bhabha Atomic Research Centre, 2008.

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Dodds, Klaus. 5. Geopolitics and objects. Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199676781.003.0005.

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‘Geopolitics and objects’ explores the role and significance of objects in geopolitics. Geopolitical imaginations and practices are embedded and emboldened by their relationship to a vast array of things ranging from the flag, the pipeline, the map, the gun, waste, and even toys such as action men dolls. The pipeline as an object has been enormously productive of global energy geopolitics, but also indigenous geopolitics. Maps play an important role in the making of geopolitics, which exceeds their practical value in terms of locating places and helping users navigate more generally. Flags are powerful; they can be objects of geopolitical hate, strong accomplices to nation-state formation and national identity politics, and capable of being enrolled in counter-geopolitics.
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Book chapters on the topic "Locating array"

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Menke, William. "Case studies of seismic tomography and earthquake location in a regional context." In Seismic Earth: Array Analysis of Broadband Seismograms, 7–36. Washington, D. C.: American Geophysical Union, 2005. http://dx.doi.org/10.1029/157gm02.

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Seidel, Stephen A., Kaushik Sarkar, Charles J. Colbourn, and Violet R. Syrotiuk. "Separating Interaction Effects Using Locating and Detecting Arrays." In Lecture Notes in Computer Science, 349–60. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94667-2_29.

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Zekavat, Seyed A. Reza. "An Introduction to Direction-of-Arrival Estimation Techniques via Antenna Arrays." In Handbook of Position Location, 279–317. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch9.

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Joswig, Manfred. "Automated Event Location by Seismic Arrays and Recent Methods for Enhancement." In Advances in Seismic Event Location, 205–30. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9536-0_8.

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Gog, Simon, and Gonzalo Navarro. "Improved and Extended Locating Functionality on Compressed Suffix Arrays." In Experimental Algorithms, 436–47. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07959-2_37.

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Puglisi, Simon J., W. F. Smyth, and Andrew Turpin. "Inverted Files Versus Suffix Arrays for Locating Patterns in Primary Memory." In String Processing and Information Retrieval, 122–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880561_11.

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Minty, Michiko G., and Frank Zimmermann. "Solutions to Exercises." In Particle Acceleration and Detection, 301–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-08581-3_12.

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AbstractFrom (1.12) at a fixed location s we can write $$x = \sqrt {2{I_x}{\beta _x}} \cos {\phi _x},$$ where φx includes the initial phase φ0 We then have $$\begin{array}{*{20}{c}}{{{ \in }_{x}} = \frac{{\left\langle {{{x}^{2}}\left( s \right)} \right\rangle }}{{{{\beta }_{x}}\left( s \right)}}} \\{ = \int {d{{\phi }_{x}}d{{I}_{x}}2{{I}_{x}}{{{\cos }}^{2}}{{\phi }_{x}}\rho \left( {{{I}_{x}},{{\phi }_{x}}} \right)} } \\{ = \int {d{{\phi }_{x}}d{{I}_{x}}2{{I}_{x}}{{{\cos }}^{2}}{{\phi }_{x}}\rho \left( {{{I}_{x}}} \right)\frac{1}{{2\pi }}} } \\{ = \int {d{{I}_{x}}{{I}_{x}}\rho \left( {{{I}_{x}}} \right) = \left\langle {{{I}_{x}}} \right\rangle .} } \\\end{array}$$
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Huang, Gaoming, Yang Gao, Luxi Yang, and Zhenya He. "Application of Blind Source Separation to Five-Element Cross Array Passive Location." In Advances in Neural Networks - ISNN 2006, 1189–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11759966_176.

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Miao, Sheng, Hua Zhou, and Hongji Yang. "Interference Location Using an Improved TDOA Algorithm with Antenna Array and Beamforming." In Advances in Intelligent Systems and Computing, 143–49. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8944-2_18.

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Pontes, Bruno, Marcio Cunha, Rafael Pinho, and Hugo Fuks. "Human-Sensing: Low Resolution Thermal Array Sensor Data Classification of Location-Based Postures." In Distributed, Ambient and Pervasive Interactions, 444–57. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58697-7_33.

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Conference papers on the topic "Locating array"

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Wujie Zhou and Deping Zhang. "Sole error locating array and approximate error locating array." In 2012 IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2012. http://dx.doi.org/10.1109/icsess.2012.6269509.

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Swartling, Mikael, Mikael Nilsson, and Nedelko Grbic. "Distinguishing true and false source locations when locating multiple concurrent speech sources." In 2008 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2008. http://dx.doi.org/10.1109/sam.2008.4606890.

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Birken, Ralf, Thorkild Hansen, Ross Deming, and Michael Oristaglio. "Locating Pipelines With A Broadband Electromagnetic Induction Array System." In 17th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 2004. http://dx.doi.org/10.3997/2214-4609-pdb.186.inf02.

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Walters, Darren, Freeman Hill, Yinghui Lu, Nam Nguyen, Srinivasan Jagannathan, Yi Yang Ang, and Joseph Reid. "Locating and Imaging Leaks Using New Acoustic Array Technology." In Abu Dhabi International Petroleum Exhibition & Conference. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/183009-ms.

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Birken, Ralf, Thorkild Hansen, Ross Deming, and Michael Oristaglio. "Locating Pipelines with a Broadband Electromagnetic Induction Array System." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2004. Environment and Engineering Geophysical Society, 2004. http://dx.doi.org/10.4133/1.2923248.

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Lanus, Erin, Charles J. Colbourn, and Douglas C. Montgomery. "Partitioned Search with Column Resampling for Locating Array Construction." In 2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2019. http://dx.doi.org/10.1109/icstw.2019.00056.

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"Robustness of Recovery in Locating Array-Based Screening Experiments." In 2019 Spring Simulation Conference. Society for Modeling and Simulation International (SCS), 2019. http://dx.doi.org/10.22360/springsim.2019.cns.001.

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Seidel, Stephen A., Charles J. Colbourn, and Violet R. Syrotiuk. "Robustness of Recovery in Locating Array-Based Screening Experiments." In 2019 Spring Simulation Conference (SpringSim). IEEE, 2019. http://dx.doi.org/10.23919/springsim.2019.8732911.

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Riahi, Nima, and Peter Gerstoft. "Locating sources in a dense array through network-based clustering." In 2016 Information Theory and Applications (ITA). IEEE, 2016. http://dx.doi.org/10.1109/ita.2016.7888149.

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Martinez, Michael. "Microphone Polar Arc Phased Array for Locating Turbofan Source Noise Components." In 13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference). Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-3445.

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Reports on the topic "Locating array"

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Quinn, Meghan. Geotechnical effects on fiber optic distributed acoustic sensing performance. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41325.

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Distributed Acoustic Sensing (DAS) is a fiber optic sensing system that is used for vibration monitoring. At a minimum, DAS is composed of a fiber optic cable and an optic analyzer called an interrogator. The oil and gas industry has used DAS for over a decade to monitor infrastructure such as pipelines for leaks, and in recent years changes in DAS performance over time have been observed for DAS arrays that are buried in the ground. This dissertation investigates the effect that soil type, soil temperature, soil moisture, time in-situ, and vehicle loading have on DAS performance for fiber optic cables buried in soil. This was accomplished through a field testing program involving two newly installed DAS arrays. For the first installation, a new portion of DAS array was added to an existing DAS array installed a decade prior. The new portion of the DAS array was installed in four different soil types: native fill, sand, gravel, and an excavatable flowable fill. Soil moisture and temperature sensors were buried adjacent to the fiber optic cable to monitor seasonal environmental changes over time. Periodic impact testing was performed at set locations along the DAS array for over one year. A second, temporary DAS array was installed to test the effect of vehicle loading on DAS performance. Signal to Noise Ratio (SNR) of the DAS response was used for all the tests to evaluate the system performance. The results of the impact testing program indicated that the portions of the array in gravel performed more consistently over time. Changes in soil moisture or soil temperature did not appear to affect DAS performance. The results also indicated that time DAS performance does change somewhat over time. Performance variance increased in new portions of array in all material types through time. The SNR in portions of the DAS array in native silty sand material dropped slightly, while the SNR in portions of the array in sand fill and flowable fill material decreased significantly over time. This significant change in performance occurred while testing halted from March 2020 to August 2020 due to the Covid-19 pandemic. These significant changes in performance were observed in the new portion of test bed, while the performance of the prior installation remained consistent. It may be that, after some time in-situ, SNR in a DAS array will reach a steady state. Though it is unfortunate that testing was on pause while changes in DAS performance developed, the observed changes emphasize the potential of DAS to be used for infrastructure change-detection monitoring. In the temporary test bed, increasing vehicle loads were observed to increase DAS performance, although there was considerable variability in the measured SNR. The significant variation in DAS response is likely due to various industrial activities on-site and some disturbance to the array while on-boarding and off-boarding vehicles. The results of this experiment indicated that the presence of load on less than 10% of an array channel length may improve DAS performance. Overall, this dissertation provides guidance that can help inform the civil engineering community with respect to installation design recommendations related to DAS used for infrastructure monitoring.
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2

Kvaerna, T., S. Gibbons, F. Ringdal, and D. Harris. Integrated Seismic Event Detection and Location by Advanced Array Processing. Office of Scientific and Technical Information (OSTI), February 2007. http://dx.doi.org/10.2172/902233.

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3

Kvaerna, T., Gibbons. S.J., F. Ringdal, and D. B. Harris. Final Scientific Report, Integrated Seismic Event Detection and Location by Advanced Array Processing. Office of Scientific and Technical Information (OSTI), January 2007. http://dx.doi.org/10.2172/898306.

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4

Zollweg, James E. Detection, Location, and Identification of Regional Seismic Events Using a Small Broadband Array. Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada400518.

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5

Blackman, Donna K., and John A. Orcutt. Hydroacoustic Arrays for Seismic Detection, Location and Discrimination: A Comparison With Land-based Seismic Arrays and Networks. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada336229.

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6

Vernon, Frank L., J. B. Minster, and John A. Orcutt. Regional Seismic Event Identification and Improved Locations with Small Arrays and Networks. Fort Belvoir, VA: Defense Technical Information Center, September 1995. http://dx.doi.org/10.21236/ada305683.

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