Literatura académica sobre el tema "Backaction of the detection system"
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Artículos de revistas sobre el tema "Backaction of the detection system"
Nielsen, William Hvidtfelt Padkær, Yeghishe Tsaturyan, Christoffer Bo Møller, Eugene S. Polzik y Albert Schliesser. "Multimode optomechanical system in the quantum regime". Proceedings of the National Academy of Sciences 114, n.º 1 (20 de diciembre de 2016): 62–66. http://dx.doi.org/10.1073/pnas.1608412114.
Texto completoPereira, S. F., Z. Y. Ou y H. J. Kimble. "Backaction evading measurements for quantum nondemolition detection and quantum optical tapping". Physical Review Letters 72, n.º 2 (10 de enero de 1994): 214–17. http://dx.doi.org/10.1103/physrevlett.72.214.
Texto completoYan, Jia‐shun y Jun Jing. "Backaction‐Noise Suppression and System Stabilization in Double‐Mode Optomechanical Systems". Annalen der Physik 533, n.º 7 (27 de mayo de 2021): 2100119. http://dx.doi.org/10.1002/andp.202100119.
Texto completoChao, Shi‐Lei, Da‐Wei Wang, Zhen Yang, Cheng‐Song Zhao, Rui Peng y Ling Zhou. "Backaction Evading and Amplification of Weak Force Signal in an Optomechanical System". Annalen der Physik 534, n.º 4 (11 de enero de 2022): 2100421. http://dx.doi.org/10.1002/andp.202100421.
Texto completoGrangier, Philippe, Jean-François Roch y Gérard Roger. "Observation of backaction-evading measurement of an optical intensity in a three-level atomic nonlinear system". Physical Review Letters 66, n.º 11 (18 de marzo de 1991): 1418–21. http://dx.doi.org/10.1103/physrevlett.66.1418.
Texto completoXia, Ji, Fuyin Wang, Chunyan Cao, Zhengliang Hu, Heng Yang y Shuidong Xiong. "A Nanoscale Photonic Crystal Cavity Optomechanical System for Ultrasensitive Motion Sensing". Crystals 11, n.º 5 (21 de abril de 2021): 462. http://dx.doi.org/10.3390/cryst11050462.
Texto completoHuang, Guanhao, Alberto Beccari, Nils J. Engelsen y Tobias J. Kippenberg. "Room-temperature quantum optomechanics using an ultralow noise cavity". Nature 626, n.º 7999 (14 de febrero de 2024): 512–16. http://dx.doi.org/10.1038/s41586-023-06997-3.
Texto completoRaju, Rajeswari. "Jaundice Detection System". International Journal of Advanced Trends in Computer Science and Engineering 8, n.º 1.5 (15 de noviembre de 2019): 127–31. http://dx.doi.org/10.30534/ijatcse/2019/2581.52019.
Texto completoTatarnikov, Denis A. y Aleksey V. Godovykh. "Radiation Detection System". Advanced Materials Research 1040 (septiembre de 2014): 980–84. http://dx.doi.org/10.4028/www.scientific.net/amr.1040.980.
Texto completoRana, Harshil y Reema Pandya. "Pest Detection System". International Journal of Computer Sciences and Engineering 9, n.º 12 (31 de diciembre de 2021): 23–25. http://dx.doi.org/10.26438/ijcse/v9i12.2325.
Texto completoTesis sobre el tema "Backaction of the detection system"
Ohlson, Frida y 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.
Texto completoMatos, Diogo Silva. "Person detection system". Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23853.
Texto completoO 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.
Texto completoSainani, Varsha. "Hybrid Layered Intrusion Detection System". Scholarly Repository, 2009. http://scholarlyrepository.miami.edu/oa_theses/44.
Texto completoJohansson, Emil y Kim Myhrman. "GSM/WCDMA Leakage Detection System". Thesis, Linköpings universitet, Elektroniksystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-66963.
Texto completoBallard, B., T. Degnan, M. Kipp, J. Johnson, D. Miller y M. Minto. "Mine Safety Detection System (MSDS)". Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17457.
Texto completoApproved for public release, distribution unlimited
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 y Paria Moazzemi. "Telemetry Network Intrusion Detection System". International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581632.
Texto completoTelemetry 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 y A. N. Kalashnikov. "Autonomous intrusion detection information system". Thesis, Сумський державний університет, 2012. http://essuir.sumdu.edu.ua/handle/123456789/28777.
Texto completoAdemi, 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.
Texto completoKhan, Muhammad. "Hand Gesture Detection & Recognition System". Thesis, Högskolan Dalarna, Datateknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6496.
Texto completoLibros sobre el tema "Backaction of the detection system"
Vernede, L. Multiple acoustic sensor detection system. Manchester: UMIST, 1993.
Buscar texto completoSteven, Legowik, Nashman Marilyn y 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.
Buscar texto completoUnited States. Federal Highway Administration. Advanced Dilemma-Zone Detection system. Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 2009.
Buscar texto completoNg, Terry. MSS collision detection. Ottawa: Canadian Aeronautics and Space Institute, 1988.
Buscar texto completoCarr, Lee. Cantilever detection system for vortex flowmeters. Middlesbrough: School of Science & Technology, 1996.
Buscar texto completoAlberta. 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.
Buscar texto completoTsukerman, Emmanuel. Designing a Machine Learning Intrusion Detection System. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6591-8.
Texto completoClarke, J. A. A fibre-optic system for ultrasonic detection. Manchester: UMIST, 1989.
Buscar texto completoWaldren, Douglas W. Anabat bat detection system: Description and maintenance manual. Portland, Or: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2000.
Buscar texto completoN, Rao V. y Bhabha Atomic Research Centre, eds. Improvements in detection system for pulse radiolysis facility. Mumbai: Bhabha Atomic Research Centre, 2002.
Buscar texto completoCapítulos de libros sobre el tema "Backaction of the detection system"
Weik, Martin H. "detection system". En Computer Science and Communications Dictionary, 393. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4827.
Texto completoHenderson, I. A. y J. McGhee. "System detection instrumentation". En Condition Monitoring and Diagnostic Engineering Management, 349–54. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0431-6_52.
Texto completoSara, Baghdadi, Aboutabit Noureddine y Baghdadi Hajar. "Ambulance Detection System". En 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.
Texto completoBieda, Robert, Krzysztof Jaskot y Jan Łazarski. "Nystagmus Detection System". En 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.
Texto completoElovici, Yuval, Abraham Kandel, Mark Last, Bracha Shapira, Omer Zaafrany, Moti Schneider y Menahem Friedman. "Terrorist Detection System". En 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.
Texto completoWeik, Martin H. "active detection system". En Computer Science and Communications Dictionary, 19. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_236.
Texto completoNelson, Tao G., Glen D. Ramsay y Matthew A. Perugini. "Fluorescence Detection System". En Analytical Ultracentrifugation, 39–61. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55985-6_4.
Texto completoXue, Guangtao, Yi-Chao Chen, Feng Lyu y Minglu Li. "Event Detection System". En Robust Network Compressive Sensing, 7–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16829-1_2.
Texto completoWeik, Martin H. "passive detection system". En Computer Science and Communications Dictionary, 1234. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_13677.
Texto completoShah, Chintan, Farhan Shaikh, Surojit Saha y Darshan Ingle. "Sign Detection System". En ICT Analysis and Applications, 363–71. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6568-7_33.
Texto completoActas de conferencias sobre el tema "Backaction of the detection system"
Hao, Shan y T. P. Purdy. "Backaction Evasion in Optical Lever Detection". En CLEO: Fundamental Science. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_fs.2023.fth1a.5.
Texto completoSlusher, R. E., A. La Porta y B. Yurke. "Simple optics for evading backaction noise and generating Schrodinger kittens". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.wh2.
Texto completoUrmey, 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". En Quantum 2.0. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/quantum.2023.qm2a.4.
Texto completoPrimo, André G., Pedro V. Pinho, Rodrigo Benevides, Simon Gröblacher, Gustavo S. Wiederhecker y Thiago P. M. Alegre. "High-Frequency Dissipative Optomechanics". En CLEO: Fundamental Science. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_fs.2023.fth1b.3.
Texto completoM S, Kruthik y D. Khasim Vali. "Pothole Detection System". En 3rd National Conference on Image Processing, Computing, Communication, Networking and Data Analytics. AIJR Publisher, 2018. http://dx.doi.org/10.21467/proceedings.1.62.
Texto completoTrang, Thanh Tri, The Phi Pham y Thanh Nghi Do. "SHRIMP DETECTION SYSTEM". En 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.
Texto completoTahir, Muhammad Waseem, N. A. Zaidi, R. Blank, P. P. Vinayaka y W. Lang. "Fungus Detection System". En 2016 IEEE International Conference on Autonomic Computing (ICAC). IEEE, 2016. http://dx.doi.org/10.1109/icac.2016.50.
Texto completoBalasubramaniyan, Sankari, Mathieu Thevenin, Frederic Amiel y Maria Trocan. "Graphene Detection System". En MEDES '22: International Conference on Management of Digital EcoSystems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3508397.3564850.
Texto completoOommen, Akhil B., Erin Liz George, Gopika Reji, Gopu J. Sekhar y Abhilash Antony. "Drowsiness Detection System". En 2023 9th International Conference on Smart Computing and Communications (ICSCC). IEEE, 2023. http://dx.doi.org/10.1109/icscc59169.2023.10334941.
Texto completo"Analysis of DDoS Detection System based on Anomaly Detection System". En International Conference on Advances in Engineering and Technology. International Institute of Engineers, 2014. http://dx.doi.org/10.15242/iie.e0314146.
Texto completoInformes sobre el tema "Backaction of the detection system"
Langebrake, Larry, Peter Betzer y Scot T. Tripp. Autonomous Ship Detection System. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2002. http://dx.doi.org/10.21236/ada626958.
Texto completoLanglois, R. G., A. Wang, B. Colston, D. Masquelier, L. Jones, K. S. Venkateswaran, S. Nasarabadi, S. Brown, A. Ramponi y F. P. Milanovich. Autonomous pathogen detection system 2001. Office of Scientific and Technical Information (OSTI), enero de 2001. http://dx.doi.org/10.2172/15006176.
Texto completoLanglois, 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), febrero de 2002. http://dx.doi.org/10.2172/15006308.
Texto completoSmith, Timothy J. y Stephany Bryant. Ferret Workflow Anomaly Detection System. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2005. http://dx.doi.org/10.21236/ada430829.
Texto completoBorzatti, J., K. A. Dorsey y J. Sirmans. Mine Detonation Detection System (MDDS). Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1987. http://dx.doi.org/10.21236/ada196830.
Texto completoLundy, Philip A., George W. Pittman y Heinz J. Pletsch. Intrusion Detection System Methodology Investigation. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1988. http://dx.doi.org/10.21236/ada198210.
Texto completoHong, Tsai-Hong, Steven Legowik y 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.
Texto completoPantea, Cristian. Acoustic Wafer Defect Detection System. Office of Scientific and Technical Information (OSTI), agosto de 2021. http://dx.doi.org/10.2172/1813835.
Texto completoViola, Robert. A Modular X-Ray Detection System. Office of Scientific and Technical Information (OSTI), enero de 2019. http://dx.doi.org/10.2172/1491153.
Texto completoFarrar, Charles R., Keith Worden, Michael D. Todd, Gyuhae Park, Jonathon Nichols, Douglas E. Adams, Matthew T. Bement y Kevin Farinholt. Nonlinear System Identification for Damage Detection. Office of Scientific and Technical Information (OSTI), noviembre de 2007. http://dx.doi.org/10.2172/922532.
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