Academic literature on the topic 'Backaction of the detection system'
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Journal articles on the topic "Backaction of the detection system"
Nielsen, William Hvidtfelt Padkær, Yeghishe Tsaturyan, Christoffer Bo Møller, Eugene S. Polzik, and Albert Schliesser. "Multimode optomechanical system in the quantum regime." Proceedings of the National Academy of Sciences 114, no. 1 (December 20, 2016): 62–66. http://dx.doi.org/10.1073/pnas.1608412114.
Full textPereira, S. F., Z. Y. Ou, and H. J. Kimble. "Backaction evading measurements for quantum nondemolition detection and quantum optical tapping." Physical Review Letters 72, no. 2 (January 10, 1994): 214–17. http://dx.doi.org/10.1103/physrevlett.72.214.
Full textYan, Jia‐shun, and Jun Jing. "Backaction‐Noise Suppression and System Stabilization in Double‐Mode Optomechanical Systems." Annalen der Physik 533, no. 7 (May 27, 2021): 2100119. http://dx.doi.org/10.1002/andp.202100119.
Full textChao, Shi‐Lei, Da‐Wei Wang, Zhen Yang, Cheng‐Song Zhao, Rui Peng, and Ling Zhou. "Backaction Evading and Amplification of Weak Force Signal in an Optomechanical System." Annalen der Physik 534, no. 4 (January 11, 2022): 2100421. http://dx.doi.org/10.1002/andp.202100421.
Full textGrangier, Philippe, Jean-François Roch, and Gérard Roger. "Observation of backaction-evading measurement of an optical intensity in a three-level atomic nonlinear system." Physical Review Letters 66, no. 11 (March 18, 1991): 1418–21. http://dx.doi.org/10.1103/physrevlett.66.1418.
Full textXia, Ji, Fuyin Wang, Chunyan Cao, Zhengliang Hu, Heng Yang, and Shuidong Xiong. "A Nanoscale Photonic Crystal Cavity Optomechanical System for Ultrasensitive Motion Sensing." Crystals 11, no. 5 (April 21, 2021): 462. http://dx.doi.org/10.3390/cryst11050462.
Full textHuang, Guanhao, Alberto Beccari, Nils J. Engelsen, and Tobias J. Kippenberg. "Room-temperature quantum optomechanics using an ultralow noise cavity." Nature 626, no. 7999 (February 14, 2024): 512–16. http://dx.doi.org/10.1038/s41586-023-06997-3.
Full textRaju, Rajeswari. "Jaundice Detection System." International Journal of Advanced Trends in Computer Science and Engineering 8, no. 1.5 (November 15, 2019): 127–31. http://dx.doi.org/10.30534/ijatcse/2019/2581.52019.
Full textTatarnikov, Denis A., and Aleksey V. Godovykh. "Radiation Detection System." Advanced Materials Research 1040 (September 2014): 980–84. http://dx.doi.org/10.4028/www.scientific.net/amr.1040.980.
Full textRana, Harshil, and Reema Pandya. "Pest Detection System." International Journal of Computer Sciences and Engineering 9, no. 12 (December 31, 2021): 23–25. http://dx.doi.org/10.26438/ijcse/v9i12.2325.
Full textDissertations / Theses on the topic "Backaction of the detection system"
Ohlson, Frida, and Nadim Al-Mosawi. "Occupant Detection System." Thesis, Högskolan i Halmstad, Bio- och miljösystemforskning (BLESS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-28617.
Full textMatos, Diogo Silva. "Person detection system." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23853.
Full textO RADAR é para fins militares já relativamente antigo que sofreu um grande impulso durante a Segunda Guerra Mundial. Hoje em dia existe um forte desenvolvimento no RADAR em aplicações de navegação ou vigilância/segurança. Esta dissertação surge no seguimento destas novas aplicações, em que se pretende o desenvolvimento de um RADAR de baixo custo que permita ao utilizador detetar pessoas, bem como, os seus movimentos através de paredes ou objetos opacos. O desenvolvimento deste RADAR recaiu em tecnologias emergentes como antenas adaptativas e rádio definido por software que permitem uma grande versatilidade e adaptação em termos de aplicações. A utilização de um RADAR com múltiplas entradas e múltiplas saídas fornece uma maior diversidade de informação que garante mais probabilidades de deteção. A aplicação de técnicas digitais de beamforming, possibilita conhecer a posição e o movimento da pessoa. Com a implementação destas técnicas um protótipo capaz de detetar pessoas e os seus movimentos através de paredes e tijolos foi desenvolvido com sucesso solucionando o problema inicial. Na fase de projeto de RADAR houve necessidade de caracterizar a propagação de ondas de rádio em materiais de construção, como tijolos e madeira, medindo-se a sua atenuação. Deste modo foi possível fazer o balanço de potencia para varios canarios.
The RADAR is already relatively old for military purposes that underwent a major development during World War II. Nowadays there is a strong development in RADAR in navigation or surveillance/security applications. This dissertation follows on from these new applications, which aim to develop a low cost RADAR that allows the user to detect people as well as their movements through walls or opaque objects. The development of this RADAR has relied on emerging technologies such as adaptive antennas and SDR that allow for great versatility and adaptation in terms of applications. The use of a MIMO RADAR provides a greater diversity of information that guarantees more probabilities of detection and the application of digital techniques of beamforming, allows to know the position and the movement of the person. With the implementation of these techniques a prototype capable of detecting people and their movements through walls and bricks was successfully developed solving the initial problem. In the RADAR design phase it was necessary to characterize the propagation of radio waves in building materials, such as bricks and wood, by measuring their attenuation. In this way it was possible to perform the power balance for several scenarios.
Michala, Anna-Lito. "Capillary glucose detection system." Thesis, University of Strathclyde, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502356.
Full textSainani, Varsha. "Hybrid Layered Intrusion Detection System." Scholarly Repository, 2009. http://scholarlyrepository.miami.edu/oa_theses/44.
Full textJohansson, Emil, and Kim Myhrman. "GSM/WCDMA Leakage Detection System." Thesis, Linköpings universitet, Elektroniksystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-66963.
Full textBallard, B., T. Degnan, M. Kipp, J. Johnson, D. Miller, and M. Minto. "Mine Safety Detection System (MSDS)." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17457.
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The search, detection, identification and assessment components of the U.S. Navys organic modular in-stride Mine Countermeasure (MCM) Concept of Operations (CONOPS) have been evaluated for their effectiveness as part of a hypothetical exercise in response to the existence of sea mines placed in the sea lanes of the Strait of Hormuz. The current MCM CONOPS has been shown to be capable of supporting the mine search and detection effort component allocation needs by utilizing two Airborne Mine Countermeasure (AMCM) deployed systems. This adequacy assessment is tenuous. The CONOPS relies heavily upon the Sikorsky MH- 60/S as the sole platform from which the systems operate. This reliance is further compounded by the fact both AMCM systems are not simultaneously compatible on board the MH-60/S. As such, resource availability will challenge the MCM CONOPS as well as the other missions for which the MH-60/S is intended. Additionally, the AMCM CONOPS systems are dependent upon the presence of warfighters in the helicopters above the minefield and as integral participants in the efforts to identify sea mines and to assess their threat level. Model Based System Engineering (MBSE) techniques have been combined with research and stakeholder inputs in an analysis that supports these assertions.m
Maharjan, Nadim, and Paria Moazzemi. "Telemetry Network Intrusion Detection System." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581632.
Full textTelemetry systems are migrating from links to networks. Security solutions that simply encrypt radio links no longer protect the network of Test Articles or the networks that support them. The use of network telemetry is dramatically expanding and new risks and vulnerabilities are challenging issues for telemetry networks. Most of these vulnerabilities are silent in nature and cannot be detected with simple tools such as traffic monitoring. The Intrusion Detection System (IDS) is a security mechanism suited to telemetry networks that can help detect abnormal behavior in the network. Our previous research in Network Intrusion Detection Systems focused on "Password" attacks and "Syn" attacks. This paper presents a generalized method that can detect both "Password" attack and "Syn" attack. In this paper, a K-means Clustering algorithm is used for vector quantization of network traffic. This reduces the scope of the problem by reducing the entropy of the network data. In addition, a Hidden-Markov Model (HMM) is then employed to help to further characterize and analyze the behavior of the network into states that can be labeled as normal, attack, or anomaly. Our experiments show that IDS can discover and expose telemetry network vulnerabilities using Vector Quantization and the Hidden Markov Model providing a more secure telemetry environment. Our paper shows how these can be generalized into a Network Intrusion system that can be deployed on telemetry networks.
Sonbul, O., M. Byamukama, S. Alzebda, and A. N. Kalashnikov. "Autonomous intrusion detection information system." Thesis, Сумський державний університет, 2012. http://essuir.sumdu.edu.ua/handle/123456789/28777.
Full textAdemi, Muhamet. "Web-Based Intrusion Detection System." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20271.
Full textKhan, Muhammad. "Hand Gesture Detection & Recognition System." Thesis, Högskolan Dalarna, Datateknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6496.
Full textBooks on the topic "Backaction of the detection system"
Vernede, L. Multiple acoustic sensor detection system. Manchester: UMIST, 1993.
Find full textSteven, Legowik, Nashman Marilyn, and National Institute of Standards and Technology (U.S.), eds. Obstacle detection and mapping system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Find full textAdvanced Dilemma-Zone Detection system. Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 2009.
Find full textNg, Terry. MSS collision detection. Ottawa: Canadian Aeronautics and Space Institute, 1988.
Find full textCarr, Lee. Cantilever detection system for vortex flowmeters. Middlesbrough: School of Science & Technology, 1996.
Find full textAlberta. Scientific and Engineering Services and Research Division. A thermographic detection system for pipeline leaks. [Edmonton, Alta.]: Alberta Energy and Natural Resources, Scientific and Engineering Services and Research Division, 1985.
Find full textTsukerman, Emmanuel. Designing a Machine Learning Intrusion Detection System. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6591-8.
Full textClarke, J. A. A fibre-optic system for ultrasonic detection. Manchester: UMIST, 1989.
Find full textWaldren, Douglas W. Anabat bat detection system: Description and maintenance manual. Portland, Or: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2000.
Find full textN, Rao V., and Bhabha Atomic Research Centre, eds. Improvements in detection system for pulse radiolysis facility. Mumbai: Bhabha Atomic Research Centre, 2002.
Find full textBook chapters on the topic "Backaction of the detection system"
Weik, Martin H. "detection system." In Computer Science and Communications Dictionary, 393. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4827.
Full textHenderson, I. A., and J. McGhee. "System detection instrumentation." In Condition Monitoring and Diagnostic Engineering Management, 349–54. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0431-6_52.
Full textSara, Baghdadi, Aboutabit Noureddine, and Baghdadi Hajar. "Ambulance Detection System." In Lecture Notes in Networks and Systems, 19–25. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33103-0_3.
Full textBieda, Robert, Krzysztof Jaskot, and Jan Łazarski. "Nystagmus Detection System." In Advanced Technologies in Practical Applications for National Security, 59–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64674-9_4.
Full textElovici, Yuval, Abraham Kandel, Mark Last, Bracha Shapira, Omer Zaafrany, Moti Schneider, and Menahem Friedman. "Terrorist Detection System." In Lecture Notes in Computer Science, 540–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30116-5_59.
Full textWeik, Martin H. "active detection system." In Computer Science and Communications Dictionary, 19. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_236.
Full textNelson, Tao G., Glen D. Ramsay, and Matthew A. Perugini. "Fluorescence Detection System." In Analytical Ultracentrifugation, 39–61. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55985-6_4.
Full textXue, Guangtao, Yi-Chao Chen, Feng Lyu, and Minglu Li. "Event Detection System." In Robust Network Compressive Sensing, 7–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16829-1_2.
Full textWeik, Martin H. "passive detection system." In Computer Science and Communications Dictionary, 1234. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_13677.
Full textShah, Chintan, Farhan Shaikh, Surojit Saha, and Darshan Ingle. "Sign Detection System." In ICT Analysis and Applications, 363–71. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6568-7_33.
Full textConference papers on the topic "Backaction of the detection system"
Hao, Shan, and T. P. Purdy. "Backaction Evasion in Optical Lever Detection." In CLEO: Fundamental Science. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_fs.2023.fth1a.5.
Full textSlusher, R. E., A. La Porta, and B. Yurke. "Simple optics for evading backaction noise and generating Schrodinger kittens." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.wh2.
Full textUrmey, Maxwell D., Robert D. Delaney, Sarang Mittal, Benjamin M. Brubaker, Jonathan M. Kindem, Nicholas E. Frattini, Luca G. Talamo, et al. "Superconducting qubit readout via electro-optic transduction with low laser-induced backaction." In Quantum 2.0. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/quantum.2023.qm2a.4.
Full textPrimo, André G., Pedro V. Pinho, Rodrigo Benevides, Simon Gröblacher, Gustavo S. Wiederhecker, and Thiago P. M. Alegre. "High-Frequency Dissipative Optomechanics." In CLEO: Fundamental Science. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_fs.2023.fth1b.3.
Full textM S, Kruthik, and D. Khasim Vali. "Pothole Detection System." In 3rd National Conference on Image Processing, Computing, Communication, Networking and Data Analytics. AIJR Publisher, 2018. http://dx.doi.org/10.21467/proceedings.1.62.
Full textTrang, Thanh Tri, The Phi Pham, and Thanh Nghi Do. "SHRIMP DETECTION SYSTEM." In HỘI NGHỊ KHOA HỌC CÔNG NGHỆ QUỐC GIA LẦN THỨ XIII NGHIÊN CỨU CƠ BẢN VÀ ỨNG DỤNG CÔNG NGHỆ THÔNG TIN. Publishing House for Science and Technology, 2020. http://dx.doi.org/10.15625/vap.2020.00165.
Full textTahir, Muhammad Waseem, N. A. Zaidi, R. Blank, P. P. Vinayaka, and W. Lang. "Fungus Detection System." In 2016 IEEE International Conference on Autonomic Computing (ICAC). IEEE, 2016. http://dx.doi.org/10.1109/icac.2016.50.
Full textBalasubramaniyan, Sankari, Mathieu Thevenin, Frederic Amiel, and Maria Trocan. "Graphene Detection System." In MEDES '22: International Conference on Management of Digital EcoSystems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3508397.3564850.
Full textOommen, Akhil B., Erin Liz George, Gopika Reji, Gopu J. Sekhar, and Abhilash Antony. "Drowsiness Detection System." In 2023 9th International Conference on Smart Computing and Communications (ICSCC). IEEE, 2023. http://dx.doi.org/10.1109/icscc59169.2023.10334941.
Full text"Analysis of DDoS Detection System based on Anomaly Detection System." In International Conference on Advances in Engineering and Technology. International Institute of Engineers, 2014. http://dx.doi.org/10.15242/iie.e0314146.
Full textReports on the topic "Backaction of the detection system"
Langebrake, Larry, Peter Betzer, and Scot T. Tripp. Autonomous Ship Detection System. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada626958.
Full textLanglois, R. G., A. Wang, B. Colston, D. Masquelier, L. Jones, K. S. Venkateswaran, S. Nasarabadi, S. Brown, A. Ramponi, and F. P. Milanovich. Autonomous pathogen detection system 2001. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/15006176.
Full textLanglois, R. G., S. Brown, L. Burris, B. Colston, L. Jones, T. Makarewicz, R. Mariella, et al. APDS: Autonomous Pathogen Detection System. Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/15006308.
Full textSmith, Timothy J., and Stephany Bryant. Ferret Workflow Anomaly Detection System. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada430829.
Full textBorzatti, J., K. A. Dorsey, and J. Sirmans. Mine Detonation Detection System (MDDS). Fort Belvoir, VA: Defense Technical Information Center, September 1987. http://dx.doi.org/10.21236/ada196830.
Full textLundy, Philip A., George W. Pittman, and Heinz J. Pletsch. Intrusion Detection System Methodology Investigation. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada198210.
Full textHong, Tsai-Hong, Steven Legowik, and Marilyn Nashman. Obstacle detection and mapping system. Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6213.
Full textPantea, Cristian. Acoustic Wafer Defect Detection System. Office of Scientific and Technical Information (OSTI), August 2021. http://dx.doi.org/10.2172/1813835.
Full textViola, Robert. A Modular X-Ray Detection System. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1491153.
Full textFarrar, Charles R., Keith Worden, Michael D. Todd, Gyuhae Park, Jonathon Nichols, Douglas E. Adams, Matthew T. Bement, and Kevin Farinholt. Nonlinear System Identification for Damage Detection. Office of Scientific and Technical Information (OSTI), November 2007. http://dx.doi.org/10.2172/922532.
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