Academic literature on the topic 'Optimal placement'

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Journal articles on the topic "Optimal placement"

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K., Kiruthika. "Optimal PMU Placement Using Enhanced PSO Algorithm." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 1877–82. http://dx.doi.org/10.5373/jardcs/v12sp4/20201674.

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Zhang, Hong, and Xiaohuan Wang. "Optimal Sensor Placement." SIAM Review 35, no. 4 (December 1993): 641. http://dx.doi.org/10.1137/1035141.

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Hsu, Chia-Ling, Rafael Matta, Sergey V. Popov, and Takeharu Sogo. "Optimal Product Placement." Review of Industrial Organization 51, no. 1 (March 22, 2017): 127–45. http://dx.doi.org/10.1007/s11151-017-9575-y.

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LI, YINHONG, HSIAO-DONG CHIANG, HUA LI, YUNG-TIEN CHEN, and DER-HUA HUANG. "APPLYING BIFURCATION ANALYSIS TO DETERMINE OPTIMAL PLACEMENTS OF MEASUREMENT DEVICES FOR POWER SYSTEM LOAD MODELING." International Journal of Bifurcation and Chaos 18, no. 07 (July 2008): 2111–21. http://dx.doi.org/10.1142/s0218127408021609.

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Load modeling is well known to have a significant impact on power system analysis. The task of load modeling, however, is time-consuming and expensive. Accurate load models should be developed for loads at critical locations. In this paper, applying bifurcation analysis, the problem of optimal placements of measurement devices for load model development from the viewpoint of voltage stability analysis is investigated. Voltage instability/collapse is modeled using bifurcation theory first. An optimal placement problem is formulated. An optimal placement identification scheme is proposed and applied to Taiwan power system. Optimal placements of measurement devices are identified. Validation of the selected optimal placements is performed. The robustness of optimal placements under different power transfer patterns is also examined.
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Rahman, Quazi, Subir Bandyopadhyay, and Yash Aneja. "Optimal regenerator placement in translucent optical networks." Optical Switching and Networking 15 (January 2015): 134–47. http://dx.doi.org/10.1016/j.osn.2014.09.002.

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Broad, Kevin, Andrew Mason, Mikael Ronnqvist, and Mark Frater. "Optimal Robotic Component Placement." Journal of the Operational Research Society 47, no. 11 (November 1996): 1343. http://dx.doi.org/10.2307/3010200.

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Broad, Kevin, Andrew Mason, Mikael Rönnqvist, and Mark Frater. "Optimal Robotic Component Placement." Journal of the Operational Research Society 47, no. 11 (November 1996): 1343–54. http://dx.doi.org/10.1057/jors.1996.170.

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Smirnov, Vladimir, and Bulat Kuzhin. "Optimal damper placement research." IOP Conference Series: Earth and Environmental Science 90 (October 2017): 012200. http://dx.doi.org/10.1088/1755-1315/90/1/012200.

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Stitz, R. W. "Optimal port site placement." Techniques in Coloproctology 14, no. 3 (August 17, 2010): 273–76. http://dx.doi.org/10.1007/s10151-010-0595-y.

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Lin, Jian-Fu, You-Lin Xu, and Sheng Zhan. "Experimental investigation on multi-objective multi-type sensor optimal placement for structural damage detection." Structural Health Monitoring 18, no. 3 (July 11, 2018): 882–901. http://dx.doi.org/10.1177/1475921718785182.

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An optimal sensor placement with multiple types of sensors could provide informative data of a structure to facilitate its structural damage detection. A response covariance-based multi-objective multi-type sensor optimal placement method has been thus developed. To validate this method, an experimental investigation was designed and performed in terms of a nine-bay three-dimensional frame structure, and the experimental details and results are presented in this article. The frame structure was first built, and a finite element model of the frame structure was constructed and updated. The proposed method was then applied to the finite element model to find the optimal sensor placement configuration. The multi-type sensors were then installed on the frame structure according to the determined optimal sensor numbers and positions. Different damage scenarios were then generated on the frame structure. These damage scenarios covered single and multiple damage cases occurring at different locations with different damage severities. A series of experiments, including the optimal and non-optimal sensor placements, were finally carried out, and the measurement data were used together with the finite element model to identify damage quantitatively. The identification results show that the optimal multi-type sensor placement determined by the proposed method could provide accurate damage localization and satisfactory damage quantitation and that the optimal sensor placement yielded better damage identification than the non-optimal sensor placement.
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Dissertations / Theses on the topic "Optimal placement"

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Geykhman, Roman. "Optimal placement of binary actuators in deformable optical systems." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67794.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 111-113).
Recently, exploration has been conducted into the applicability of binary mechatronics to active figure correction in large optical systems such as space telescopes and ground-based solar-thermal concentrators. This Thesis will continue this exploration. The information-theoretic requirements of the corrective commands required in active optics will be explored to understand the dimensionality of the continuous workspace sampled by binary actuation. In both the minimal expected error and the minimal computation time sense, the optimal discrete workspace is the uniform discrete distribution. A rigorous analogy between binary mechatronics and discrete random variables will be used to show that this optimal workspace is achievable by a linear superposition of actuators with exponentially decreasing influences on the optical surface. It will be proven that elasticity can be exploited to construct mechanisms where constant magnitude actuators exhibit exponentially decaying influences on certain parts of the mechanism, allowing for designs where individual binary actuators correspond to binary bits of the required deformation. A planar truss mechanism designed with this philosophy will be presented and shown to have independent kinematic control of multiple adjacent displacements on its top side. Finally, this design will be shown extend to three dimensions in a manner applicable to optical figure correction. Due to the complexity of mechanisms that meet the optimality criteria, only theoretical analysis will be presented.
by Roman Geykhman.
S.M.
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Lessard, Dominic. "Optimal polygon placement on a grid." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0028/MQ52380.pdf.

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Ratul, Saiful A. "Optimal DG Placement: A Multimethod Analysis." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2269.

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With Power System being restructured in the vision of Smart Grid, it is important now more than ever to find suitable locations to place Distributed Generators (DG). Distributed generators, which may be renewable, are not limited to specific locations as in the case of conventional generators. Several papers have been published that make suggestions on where the optimal location of DG should be in a system. Objectives ranging from loss minimization to total cost minimization have been the factor for such studies. In this study, a new method is introduced that hopes to improve a current system in three ways by maximizing load, minimizing the locational marginal price and improving line contingency scenarios. The proposed methodology is simulated using MATPOWER’s Optimal Power Flow on the IEEE 14 bus test system.
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Lessard, Dominic Carleton University Dissertation Computer Science. "Optimal polygon placement on a grid." Ottawa, 2000.

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Cameron, Alexander John. "A Bayesian approach to optimal sensor placement." Thesis, University of Oxford, 1989. http://ora.ox.ac.uk/objects/uuid:ad201132-d418-4ee4-a9d5-3d79bd4876a7.

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By "intelligently" locating a sensor with respect to its environment it is possible to minimize the number of sensing operations required to perform many tasks. This is particularly important for sensing media which provide only "sparse" data, such as tactile sensors and sonar. In this thesis, a system is described which uses the principles of statistical decision theory to determine the optimal sensing locations to perform recognition and localization operations. The system uses a Bayesian approach to utilize any prior object information (including object models or previously-acquired sensory data) in choosing the sensing locations.
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Movva, Gopichand. "Optimal Sensor Placement for Structural Health Monitoring." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc700010/.

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In large-scale civil structures, a limited number of sensors are placed to monitor the health of civil structures to reduce maintenance, communication and energy costs. In this thesis, the problem of optimal sensor location placement to infer the health of civil structures is explored. First, a comparative study of approaches from the fields of control engineering and civil engineering is conducted . The widely used civil engineering approaches such as effective independence (EI) and modal assurance criterion (MAC) have limitations because of the negligence of modes and damping parameters. On the other hand, control engineering approaches consider the entire system dynamics using impulse response-type sensor measurement data. Such inference can be formulated as an estimation problem, with the dynamics formulated as a second-order differential equation. The comparative study suggests that damping dynamics play significant impact to the selection of best sensor location---the civil engineering approaches that neglect the damping dynamics lead to very different sensor locations from those of the control engineering approaches. In the second part of the thesis, an initial attempt to directly connect the topological graph of the structure (that defines the damping and stiffness matrices) and the second-order dynamics is conducted.
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Nicholas, Paul J. "Optimal transmitter placement in wireless mesh networks." Thesis, Monterey, Calif. : Naval Postgraduate School, 2009. http://handle.dtic.mil/100.2/ADA501886.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2009.
Thesis Advisor(s): Alderson, David. "June 2009." Author(s) subject terms: Wireless Mesh Networks, Humanitarian Assistance, Disaster Relief, Distributed Operations, Enhanced Company Operations, Network Design, Nonlinear Programming, Terrain Integrated Rough Earth Model, TIREM, Hata COST-231, Simultaneous Routing and Resource Allocation, Dividing Rectangles, DIRECT, Access Points, Access Point Placement, C++ Description based on title screen as viewed on July 13, 2009. Includes bibliographical references (p. 119-122). Also available in print.
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Yang, Xun. "Optimal generator placement in a distributed network." Thesis, Yang, Xun (2016) Optimal generator placement in a distributed network. Honours thesis, Murdoch University, 2016. https://researchrepository.murdoch.edu.au/id/eprint/33968/.

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Since the industrial and residential huge demand for electricity, as well as higher requirements for the electricity reliability and power quality. Meanwhile, the world has been in the energy crisis, the power shortage, and a large area often experienced blackouts accident. All exposed the deficiencies of ‘centralized power’. Thus, the approaches of reducing active power loss in power systems have become increasingly important. Among them, the method of the optimal location and size of distribution generators in a distributed network is one of the most prospective approaches in the future. And it can use into practice to achieve the purpose of low-carbonate, less cost and flexible power generation power systems because install DGs at the optimal location and with optimal size in distributed network can dramatically reduce active power loss in power systems. There are several models and methods have been suggested for solving the optimal DG placement problem. This paper presents models and methods applied to solve the optimal DG placement problem, and especially propose a new approach that based on an exact solution method using the enumerative method to reduce the number of the combination by request of constraints. In this case, the proposed method firstly will be applied to the simple 6 buses system, and then applied to 14 buses real size distribution network model which is based on the 126 buses real size distribution system. It can be evaluated for active power loss reduction features by DGs installation and choose optimal location and size of distribution generation in distributed network considering actual use.
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Shankar, Arun. "Optimal jammer placement to interdict wireless network services." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483583.

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Thesis (M.S. in Operations Research and M.S. in Applied Mathematics)--Naval Postgraduate School, June 2008.
Thesis Advisor(s): Alderson, David ; Zhou, Hong. "June 2008." Description based on title screen as viewed on August 22, 2008. Includes bibliographical references (p. 39-40). Also available in print.
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Kuhn, Tobias Uwe. "Optimal sensor placement in active multistatic sonar networks." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/42665.

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Recently the idea of deploying non-collocated sources and receivers in multistatic sensor networks (MSNs) has emerged as a promis-ing area of opportunity in sonar systems. This thesis addresses point coverage sensing problems in MSNs, where a number of points of interest have to be monitored in order to protect them from hostile underwater assets. We consider discrete cookie cutter sensors as well as various diffuse sensor models. By showing that the convex hull spanned by the targets is guaranteed to contain optimal sensor positions, we are able to limit the solution space. Using a cookie cutter sensor model, we are able to exclude even more suboptimal solutions by determining range-of-the-day, source and receiver circles. To address the nonconvex single-source placement problem, we develop the Divide Best Sector (DiBS) algorithm, which quickly provides an optimal source position assuming fixed receivers. Starting with a basic implementation of DiBS, we show how incorpo-rating advanced sector splitting methods and termination conditions further improve the algorithm. We also discuss two ways to use DiBS to find multiple source positions by placing sensors iteratively or simultaneously. Finally, we conclude that DiBS is a fast and simple algorithm that supports a wide variety of sensor models, various termination conditions, and objective functions.
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Books on the topic "Optimal placement"

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Laviolette, Jocelyn Marie. Optimal marker placement for kinematic studies of the human lower extremity. Ottawa: National Library of Canada, 1990.

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Treanor, Kirk E. Performance and optimal placement of piezoceramic actuators for shape control of a cantilever beam. Monterey, Calif: Naval Postgraduate School, 1996.

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Canada Mortgage and Housing Corporation., ed. Evaluation of optimal bath grab bar placement for seniors. [Ottawa]: CMHC, 2003.

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Chow, Wah Keh. Automated pole placement algorithm for multivariable optimal control synthesis. 1985.

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M, Adelman Howard, Langley Research Center, and United States. Army Aviation Research and Technology Activity., eds. Optimal placement of tuning masses for vibration reduction in helicopter rotor blades. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1988.

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Yarlagadda, Venu, A. Giriprasad, Lakshminarayana Gadupudi, O. Sobhana, and M. Naga Jyothi, eds. Optimal Placement and Sizing of SVC in Power Systems for Voltage Stability Enhancement. AkiNik Publications, 2021. http://dx.doi.org/10.22271/ed.book.1358.

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Performance and Optimal Placement of Piezoceramic Actuators for Shape Control of a Cantilever Beam. Storming Media, 1996.

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Melecky, Martin. Appraisal Econometrics for Proposed Transport Corridors: Optimal Placement, Intervention Design, and Wider Economic Benefits. World Bank, Washington, DC, 2017. http://dx.doi.org/10.1596/1813-9450-8269.

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Heithaus, Robert Evans, Almas Syed, and Chet R. Rees. Method for Optimal Tract Anesthesia During Biopsies, Drainage Catheter Placement, Nephrostomies, and Percutaneous Transhepatic Cholangiography. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0095.

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Transrectal and transvaginal approaches for abscess drainage can be safer than other approaches but may cause greater patient discomfort at the time of placement. Achieving optimal anesthesia can be difficult in certain situations, particularly when using a transvaginal or transrectal approach. By using a side port adapter and a high-quality 3-cc syringe, operators can provide additional anesthetic while using the Seldinger technique. This method allows for additional anesthetic to be placed in the vaginal cuff, thus allowing a greater number of transvaginal procedures to be performed with moderate sedation as opposed to general anesthesia. The technique can also be applied to other percutaneous procedures, such as nephrostomy tube placement.
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Center, Langley Research, ed. Optimal control of unsteady stokes flow around a cylinder and the sensor/actuator placement problem. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

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Book chapters on the topic "Optimal placement"

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Knoopl, Jens, and Eduard Mehofer. "Optimal distribution assignment placement." In Euro-Par'97 Parallel Processing, 364–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0002758.

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Guo, Xin, Tze Leung Lai, Howard Shek, and Samuel Po-Shing Wong. "Optimal Execution and Placement." In Quantitative Trading, 183–220. Boca Raton, FL : CRC Press, [2017]: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315371580-6.

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Wan, Peng-Jun. "Optimal Placement of Wavelength Converters." In Network Theory and Applications, 237–45. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5317-5_9.

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Lewis, Robert Michael. "Optimal Well Placement and Management." In Operations Research ’91, 52–53. Heidelberg: Physica-Verlag HD, 1992. http://dx.doi.org/10.1007/978-3-642-48417-9_13.

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Rostek, Kornel. "Optimal Sensor Placement Under Budgetary Constraints." In Advances in Intelligent Systems and Computing, 77–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23180-8_6.

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Glotzbach, Thomas. "Optimal Sensor Placement in Marine Robotics." In Navigation of Autonomous Marine Robots, 287–326. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30109-5_6.

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Frühwirth, Thom, and Slim Abdennadher. "Optimal Sender Placement for Wireless Communication." In Cognitive Technologies, 105–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05138-2_15.

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Das, Jaydeep, Sourav Kanti Addya, Soumya K. Ghosh, and Rajkumar Buyya. "Optimal Geospatial Query Placement in Cloud." In Smart Innovation, Systems and Technologies, 335–44. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5971-6_37.

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Mohd Yusoff, Siti Kamaliah, Abas Md Said, and Idris Ismail. "Optimal Camera Placement for 3D Environment." In Software Engineering and Computer Systems, 448–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22191-0_39.

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Nakaizumi, Takuya. "Economists’ Optimal Placement Within Relevant Organizations." In Impact Assessment for Developing Countries, 61–68. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5494-8_6.

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Conference papers on the topic "Optimal placement"

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Farmer, C. L., J. M. Fowkes, and N. I. M. Gould. "Optimal Well Placement." In 12th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20144994.

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Flynn, Eric, and Michael Todd. "Optimal Sensor Placement for Active Sensing." In ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2008. http://dx.doi.org/10.1115/smasis2008-439.

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We present a novel approach for optimal actuator and sensor placement for active sensing-based structural health monitoring (SHM). Of particular interest is the optimization of actuator-sensor arrays making use of Lamb wave propagation for detecting damage in thin plate-like structures. Using a detection theory framework, we establish the optimum configuration as the minimization of the expected percentage of the structure to show type I or type II error during the damage detection process. The detector incorporates a statistical model of the active sensing process which implements both pulse-echo and pitch-catch actuation schemes and takes into account line of site and non-uniform damage probabilities. The optimization space was searched using a genetic algorithm with a time varying mutation rate. We provide four example actuator/sensor placement scenarios and the optimal solutions as generated by the algorithm.
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Cazzulani, Gabriele, Martina Chieppi, Andrea Colombo, and Paolo Pennacchi. "Optimal sensor placement for continuous optical fiber sensors." In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, edited by Hoon Sohn. SPIE, 2018. http://dx.doi.org/10.1117/12.2297621.

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Horster, E., and R. Lienhart. "Approximating Optimal Visual Sensor Placement." In 2006 IEEE International Conference on Multimedia and Expo. IEEE, 2006. http://dx.doi.org/10.1109/icme.2006.262766.

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Abur, A., and F. H. Magnago. "Optimal meter placement against contingencies." In Proceedings of Power Engineering Society Summer Meeting. IEEE, 2001. http://dx.doi.org/10.1109/pess.2001.970061.

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Kuvichko, A. M., and A. I. Ermolaev. "HPC-Based Optimal Well Placement." In ECMOR XIII - 13th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20143243.

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Avin, Chen, Michael Borokhovich, Zvi Lotker, and Yoram Haddad. "Optimal virtual traffic light placement." In the 8th International Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2335470.2335476.

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Sunderman, Wes, Nicholas Heine, Brian Deaver, Jonathon Robinson, and Justin Graff. "Optimal Distribution Automation Switch Placement." In 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2020. http://dx.doi.org/10.1109/td39804.2020.9299906.

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Azadani, E. Nasr, S. H. Hosseinian, M. Janati, and P. Hasanpor. "Optimal placement of multiple STATCOM." In 2008 12th International Middle East Power System Conference - MEPCON. IEEE, 2008. http://dx.doi.org/10.1109/mepcon.2008.4562388.

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Zhang, Fuli, Olga Brezhneva, and Amit Shukla. "Optimal Sensor Placement Using Chaotic Monkey Search Algorithm." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46863.

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The optimal sensor placement (OSP) problem is integral to modern large scale structures for their health monitoring. Evolutionary algorithms for the OSP problem are attractive as they can result in global optima without gradient information. In this paper, a modification of the Monkey Algorithm with a chaotic search strategy and adaptive parameters is proposed. It includes chaotic initialization, variable search step length, and adaptive watching time. The performance of the proposed chaotic Monkey Algorithm (cMA) is compared with the original Monkey Algorithm. Convergence property of cMA is established. The proposed method is applied to an optimal sensor placement problem for structural health monitoring. The OSP problem is solved for a mass-spring-damper system and then for a model of the I-40 bridge developed by the Los Alamos National Laboratory. Numerical results demonstrate that the proposed Chaotic Monkey Algorithm has capability of solving mixed-variable optimization problems and that it performs better than the originally proposed Monkey algorithm. Finally, nonparametric uncertainty modeling is used to evaluate variability in a model and its effect on the optimal sensor placement.
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Reports on the topic "Optimal placement"

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Crawford, Lara S., Victor H. Cheng, Rich Burns, and Shiang Liu. Near-Optimal Antenna Placement Using Genetic Search. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada436387.

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Chang, Yuan-Lung, and Chung-Kee Yen. Optimal Manipulator Parameters and Placement Based on Decoupled Analysis. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, April 2021. http://dx.doi.org/10.7546/crabs.2021.04.13.

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Aranda, Sulema, Sonia Martinez, and Francesco Bullo. On Optimal Sensor Placement and Motion Coordination for Target Tracking. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada460179.

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Vecherin, Sergey N., D. K. Wilson, and Chris L. Pettit. Optimal Sensor Placement with Terrain-Based Constraints and Signal Propagation Effects. Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada494571.

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Ratmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45680.

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With the advent of cheap and available sensors, there is a need for intelligent sensor selection and placement for various purposes. While previous research was focused on the most efficient sensor networks, we present a new mathematical framework for efficient and resilient sensor network installation. Specifically, in this work we formulate and solve a sensor selection and placement problem when network resilience is also a factor in the optimization problem. Our approach is based on the binary linear programming problem. The generic formulation is probabilistic and applicable to any sensor types, line-of-site and non-line-of-site, and any sensor modality. It also incorporates several realistic constraints including finite sensor supply, cost, energy consumption, as well as specified redundancy in coverage areas that require resilience. While the exact solution is computationally prohibitive, we present a fast algorithm that produces a near-optimal solution that can be used in practice. We show how such formulation works on 2D examples, applied to infrared (IR) sensor networks designed to detect and track human presence and movements in a specified coverage area. Analysis of coverage and comparison of sensor placement with and without resilience considerations is also performed.
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Long, Wendy, Zackery McClelland, Dylan Scott, and C. Crane. State-of-practice on the mechanical properties of metals for armor-plating. Engineer Research and Development Center (U.S.), January 2023. http://dx.doi.org/10.21079/11681/46382.

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This report presents a review of quasi-static and dynamic properties of various iron, titanium, nickel, cobalt, and aluminum metals. The physical and mechanical properties of these materials are crucial for developing composite armoring systems vital for protecting critical bridges from terrorist attacks. When the wide range of properties these materials encompass is considered, it is possible to exploit the optimal properties of metal alloys though proper placement within the armoring system, governed by desired protective mechanism and environmental exposure conditions.
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Hicks, Julie, Laurin Yates, and Jackie Pettway. Mat Sinking Unit supply study : Mississippi River revetment. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41867.

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Abstract:
The Mississippi Valley Division (MVD) has maintained the Mississippi River banks for over 80 years. The Mat Sinking Unit (MSU), built in 1946, was considered state-of-the-art at the time. This system is still in operation today and has placed over 1,000 miles of Articulated Concrete Mats along the Mississippi River from Head of Passes, LA, to Cairo, IL. A new MSU has been designed and is expected to be fully mission capable and operational by the 2023 season, which is expected to increase the productivity from 2,000 squares/day up to 8,000 squares/day with double shifts and optimal conditions. This MSU supply study identifies and optimizes the supply chain logistics for increased production rates from the mat fields to the MSU. The production rates investigated for this effort are 2,000 squares/day, 4,000 squares/day, and 6,000 squares/day. RiskyProject® software, which utilizes a Monte Carlo method to determine a range of durations, manpower, and supplies based on logical sequencing is used for this study. The study identifies several potential supply and demand issues with the increased daily production rates. Distance to casting fields, number of barges, and square availability are the major issues to supply increased placement rates identified by this study.
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Ungar, Eugene D., Montague W. Demment, Uri M. Peiper, Emilio A. Laca, and Mario Gutman. The Prediction of Daily Intake in Grazing Cattle Using Methodologies, Models and Experiments that Integrate Pasture Structure and Ingestive Behavior. United States Department of Agriculture, July 1994. http://dx.doi.org/10.32747/1994.7568789.bard.

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This project addressed the prediction of daily intake in grazing cattle using methodologies, models and experiments that integrate pasture structure and ingestive behavior. The broad objective was to develop concepts of optimal foraging that predicted ingestive behavior and instantaneous intake rate in single and multi-patch environments and extend them to the greater scales of time and space required to predict daily intake. Specific objectives included: to determine how sward structure affects the shape of patch depletion curves, to determine if the basic components of ingestive behavior of animals in groups differs from animals alone, and to evaluate and modify our existing models of foraging behavior and heterogeneity to incorporate larger scales of time and space. Patch depletion was found to be predominantly by horizon, with a significant decline in bite weight during horizon depletion. This decline derives from bite overlap, and is more pronounced on taller swards. These results were successfully predicted by a simple bite placement simulator. At greater spatial scales, patch selection was aimed at maximizing daily digestible intake, with the between patch search pattern being non-random. The processes of selecting a feeding station and foraging at a feeding station are fundamentally different. The marginal value theorem may not be the most appropriate paradigm for predicting residence time at a feeding station. Basic components of ingestive behavior were unaffected by the presence of other animals. Our results contribute to animal production systems by improving our understanding of the foraging process, by identifying the key sward parameters that determine intake rate and by improving existing conceptual and quantitative models of foraging behavior across spatial and temporal scales.
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Prasad, Kuldeep, Anthony Bova, James R. Whetstone, and Elena Novakovskaia. Greenhouse Gas Emissions and Dispersion : 1. Optimum Placement of Gas Inlets on a Building Rooftop for the Measurement of Greenhouse Gas Concentration. National Institute of Standards and Technology, April 2013. http://dx.doi.org/10.6028/nist.sp.1158.

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