Academic literature on the topic 'Layer by layer optimization'
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Journal articles on the topic "Layer by layer optimization"
Lychev, S. A., G. V. Kostin, K. G. Koifman, and T. N. Lycheva. "Modeling and Optimization of Layer-by-Layer Structures." Journal of Physics: Conference Series 1009 (April 2018): 012014. http://dx.doi.org/10.1088/1742-6596/1009/1/012014.
Full textSwetanshu, ,., and Vijay Sharma. "Formulation, Optimization and Evaluation of Bilayer Tablet of Antihypertensive Drug." Journal of Drug Delivery and Therapeutics 9, no. 4 (July 15, 2019): 704–8. http://dx.doi.org/10.22270/jddt.v9i4.3098.
Full textZhang, Chao, Jianjun Song, and Jie Zhang. "Optimization of Laser Recrystallization Process for GeSn Films on Si Substrates Based on Finite Difference Time Domain and Finite Element Method." Journal of Nanoelectronics and Optoelectronics 15, no. 3 (March 1, 2020): 376–83. http://dx.doi.org/10.1166/jno.2020.2705.
Full textAbdalla, M., J. Yamin, and E. Al-Khawaldeh. "Multi-layer optimization algorithm." Journal of Algorithms & Computational Technology 16 (January 2022): 174830262110604. http://dx.doi.org/10.1177/17483026211060469.
Full textZhao, Xiaohui, Zhenfu Shi, Chao Deng, Yu Liu, and Xin Li. "The Effect of Laser Offset Welding on Microstructure and Mechanical Properties of 301L to TA2 with and without Cu Intermediate Layer." Metals 10, no. 9 (August 24, 2020): 1138. http://dx.doi.org/10.3390/met10091138.
Full textBaloni, Sunil Dutt, Somesh K. Sharma, Jagroop Singh, and Sushant Negi. "SLS Process Parameter Optimization to Improve Surface Quality and Accuracy of Polyamide Parts." International Journal of Manufacturing, Materials, and Mechanical Engineering 11, no. 4 (October 2021): 57–74. http://dx.doi.org/10.4018/ijmmme.2021100104.
Full textLee, Alvin, Jay Su, Baron Huang, Ram Trichur, Dongshun Bai, Xiao Liu, Wen-Wei Shen, et al. "Optimization of laser release layer, glass carrier, and organic build-up layer to enable RDL-first fan-out wafer-level packaging." International Symposium on Microelectronics 2016, no. 1 (October 1, 2016): 000190–95. http://dx.doi.org/10.4071/isom-2016-wa34.
Full textKimmel, G., G. Shafirstein, and M. Bamberger. "Fast Thickness Measurement of Thin Crystalline Layers by Relative Intensities in XRPD Method." Advances in X-ray Analysis 32 (1988): 293–301. http://dx.doi.org/10.1154/s0376030800020607.
Full textJu, Jiang, Yang Zhou, Maodong Kang, and Jun Wang. "Optimization of Process Parameters, Microstructure, and Properties of Laser Cladding Fe-Based Alloy on 42CrMo Steel Roller." Materials 11, no. 10 (October 22, 2018): 2061. http://dx.doi.org/10.3390/ma11102061.
Full textLin, Jin Lan, and Jian Hong Fan. "Research on the Theory of the Laser Shock Processing Technology." Applied Mechanics and Materials 610 (August 2014): 1021–28. http://dx.doi.org/10.4028/www.scientific.net/amm.610.1021.
Full textDissertations / Theses on the topic "Layer by layer optimization"
Angelou, Marianna. "Cross-layer optimization in optical networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/83925.
Full textGifford, James Hart. "Optimization of the automated spray layer-by-layer technique for thin film deposition." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59883.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 82-83).
The operational parameters of the automated Spray-LbL technique for thin film deposition have been investigated in order to-identify their effects on film thickness and roughness. We use the automated Spray-LbL system developed at MIT by the Hammond lab to build 25 bilayer films of poly (ally amine hydrochloride) (PAH) and poly (acrylic acid) (PAA). Each of the 10 operational parameters of this system are explored individually to isolate each parameter's effect on film thickness and roughness. The parameter effects are analyzed for apparent trends to determine the parameters best suited for adjusting film thickness and roughness. The optimal parameters for thickness adjustment are polyelectrolyte solution concentration, polyelectrolyte spray time, spraying distance, air pressure and polyelectrolyte charge density. These parameters are independent of the type of species used to construct the film, and thus the trends should apply to any species used to construct thin films. The effect of each of the 10 operational parameters is examined in detail. While researching the parameter effects, polyelectrolyte interdiffusion in the films was observed. This interdiffusion is investigated using both the conventional dipped LbL and Spray-LbL deposition techniques. Interdiffusion is shown to be dependent on 3 factors, the charge density of the polyelectrolytes, the molecular weight of the polyelectrolytes, and the contact time between the polyelectrolyte solutions and the surface of the film. Interdiffusion is observed when the PAH is partially charged, the polyelectrolytes chains have a low molecular weight, and the contact time is sufficiently long enough to allow for interdiffusion. The significantly reduced contact time during the automated Spray-LbL process not only speeds up the film deposition time, but also significantly hinders the interdiffusion of PAH resulting in much thinner films than what is possible from dipping. Finally, the uniformity of the films produced using the automated Spray-LbL system is investigated. Films deposited on substrates greater than 1 in diameter area exhibit more than 20% variance in thickness. Adjustments were made to the setup of the system in an effort to expand this area of film thickness uniformity. However, it is determined that the design of this automated Spray-LbL system limits the film uniformity to an area of 1 in diameter.
by James Hart Gifford.
S.M.
Warren, Christopher L. (Christopher Lane). "Submarine design optimization using boundary layer control." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10529.
Full textIncludes bibliographical references (leaves 64-67).
by Christopher L. Warren.
M.S.
Nav.E.
Chu, Zheng. "Transmit optimization techniques for physical layer security." Thesis, University of Newcastle upon Tyne, 2016. http://hdl.handle.net/10443/3377.
Full textMiao, Guowang. "Cross-layer optimization for spectral and energy efficiency." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31807.
Full textCommittee Chair: Li, Geoffrey Ye; Committee Member: Ma, Xiaoli; Committee Member: Stuber, Gordon; Committee Member: Wardi, Yorai; Committee Member: Yu, Xingxing. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Hägg, Ragnar. "Scalable High Efficiency Video Coding : Cross-layer optimization." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-257558.
Full textSoldati, Pablo. "Cross-layer optimization of wireless multi-hop networks." Licentiate thesis, Stockholm Stockholm : Elektrotekniska system, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4463.
Full textLoretti, Simone. "Cross-layer Optimization of CDMA Multihop Radio Networks." Thesis, KTH, Reglerteknik, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-109471.
Full textLin, Yuxia. "Cross-layer optimization in wireless local area networks." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/7571.
Full textDubroca, Sabrina Marjorie. "Cross-Layer optimization in a satellite communication network." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-127401.
Full textDetta projekt har försökt förbättra ett datornätverk bestående av satelliter som används till både data och Voice over IP (VoIP) kommunikation. VoIP använder sig av resursreservation som bestäms av standardprotokollen för Traffic Engineering, MPLS-TE och RSVP-TE. Målet är att optimera antalet samtidiga VoIP samtal så att det mesta av den befintliga bandbredden kan utnyttjas samtidigt som Quality of Service (QoS) kan garanteras. Detta är omöjligt i det befintliga systemet. Projektet föreslår en lösning för problemet med modemet som utvecklas av Thales Communications och utvärderar därefter lösningen. Dessa optimeringar förbättrar systemets förmåga att driva VoIP kommunikationer genom att bättre använda de befintliga resurserna. En lösning för det här problemet skulle höja systemets flexibilitet och kunna användas som underlag för kommande utvecklingar. Tack vare lösningen kan hela utsedda bandbredden reserveras. Antalet bandbredd som kan reserveras måsta vara minst lite lågre än total befintling bandbredd för att undvika överbelastning. även några möjliga ideer för vidare undersökning föreslås.
Ce projet a pour but d'améliorer un réseau de communication par satellite utilisé pour transporter des flux de données ainsi que des sessions de communication Voix sur IP (VoIP) avec réservation de ressources. Les réservations sont prises en charge par les protocoles standard de Traffic Engineering que sont MPLS-TE et RSVP-TE. L'objectif de ce projet est d'optimiser le nombre d'appels VoIP pouvant être passés en parallèle afin d'utiliser autant de bande passante que possible tout en offrant un niveau de Qualité de Service (QoS) garanti, chose impossible dans le système actuel. Ce rapport propose et évalue une solution à ce problème d'optimisation dans le contexte spécifique du modem satellite développé par Thales Communications. Ces optimisations amélioreraient la capacité du système à transporter des communications VoIP grâce à une meilleure utilisation des ressources disponibles pour la transmission. Une solution à ce problème rendrait aussi l'allocation de ressources plus flexible au sein du système, et pourrait fournir une base à de futurs développements. La solution proposée permet l'utilisation de toute la bande passante réservable. La quantité réservable doit être un peu inférieure à la bande passante totale disponible afin d'éviter la congestion. Les résultats de ces évaluations sont exposés. Enfin, ce rapport propose de futurs développements possibles.
Books on the topic "Layer by layer optimization"
Warren, Christopher L. Submarine design optimization using boundary layer control. Springfield, Va: Available from National Technical Information Service, 1997.
Find full textA, Kanibolotskiĭ M., ed. Matematicheskie metody sinteza sloistykh struktur. Novosibirsk: VO "Nauka", 1993.
Find full textStrobel, Rainer. Channel Modeling and Physical Layer Optimization in Copper Line Networks. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-91560-9.
Full text1966-, Giambene Giovanni, ed. Resource management in satellite networks: Optimization and cross-layer design. New York, N.Y: Springer, 2007.
Find full textMorel, M. Interphase layer optimization for metal matrix composites with fabrication considerations. [Washington, D.C.]: National Aeronautics and Space Administration, 1991.
Find full text1966-, Giambene Giovanni, ed. Resource management in satellite networks: Optimization and cross-layer design. New York, N.Y: Springer, 2007.
Find full textS, Salzar Robert, and United States. National Aeronautics and Space Administration., eds. Optimization of residual stresses in MMC's through the variation of interfacial layer architectures and processing parameters. [Washington, DC]: National Aeronautics and Space Administration, 1996.
Find full textS, Salzar Robert, and United States. National Aeronautics and Space Administration., eds. Optimization of residual stresses in MMC's through the variation of interfacial layer architectures and processing parameters. [Washington, DC]: National Aeronautics and Space Administration, 1996.
Find full textCenter, Langley Research, ed. Optimum suction distribution for transition control. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.
Find full textCenter, Langley Research, ed. Optimum suction distribution for transition control. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.
Find full textBook chapters on the topic "Layer by layer optimization"
Hu, Kai, Krishnendu Chakrabarty, and Tsung-Yi Ho. "Control-Layer Optimization." In Computer-Aided Design of Microfluidic Very Large Scale Integration (mVLSI) Biochips, 25–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56255-1_2.
Full textSong, Lingyang, Zhu Han, and Chen Xu. "Cross-Layer Optimization." In Resource Management for Device-to-Device Underlay Communication, 51–73. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8193-5_4.
Full textSalo, Jari, and Jussi Reunanen. "Inter-layer Mobility Optimization." In LTE Small Cell Optimization, 333–78. Chichester, UK: John Wiley & Sons Ltd, 2015. http://dx.doi.org/10.1002/9781118912560.ch15.
Full textMarchewka, Adam, and Jarosław Zdrojewski. "Layer Image Components Geometry Optimization." In Advances in Intelligent Systems and Computing, 225–32. Heidelberg: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01622-1_27.
Full textHildmann, H., D. Y. Atia, D. Ruta, K. Poon, and A. F. Isakovic. "Nature-Inspired? Optimization in the Era of IoT: Particle Swarm Optimization (PSO) Applied to Indoor-Distributed Antenna Systems (I-DAS)." In The IoT Physical Layer, 171–92. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93100-5_11.
Full textBi, Ying, Bing Xue, and Mengjie Zhang. "Multi-layer Representation for Binary Image Classification." In Adaptation, Learning, and Optimization, 75–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65927-1_4.
Full textChze, Paul Loh Ruen, Kan Siew Leong, Ang Khoon Wee, Elizabeth Sim, Kan Ee May, and Hing Siew Wing. "Cross-Layer Secured IoT Network and Devices." In Proceedings in Adaptation, Learning and Optimization, 319–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13356-0_26.
Full textRehman, Semeen, Muhammad Shafique, and Jörg Henkel. "Cross-Layer Reliability Analysis, Modeling, and Optimization." In Reliable Software for Unreliable Hardware, 51–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25772-3_3.
Full textSyrotiuk, Violet R., and Amaresh Bikki. "Modeling Cross-Layer Interaction Using Inverse Optimization." In Mobile Ad Hoc Networking, 411–25. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471656895.ch15.
Full textYang, Yimin, and Q. M. Jonathan Wu. "Two-Layer Extreme Learning Machine for Dimension Reduction." In Proceedings in Adaptation, Learning and Optimization, 31–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28373-9_3.
Full textConference papers on the topic "Layer by layer optimization"
Bien, Anna. "Optimization of laser-modified surface layer homogeneity." In Laser Technology V: Applications in Materials Sciences and Engineering. SPIE, 1997. http://dx.doi.org/10.1117/12.287835.
Full textZhang, Jiaqiang, Quan Liu, Wenjun Xu, Zude Zhou, and Duc Truong Pham. "Cross-Layer Optimization Model Towards Service-Oriented Robotic Manufacturing Systems." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2703.
Full textChen, Jack Szu-Shen, and Hsi-Yung Steve Feng. "Tolerance-Based Layer Setup Optimization for Layered Manufacturing." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37775.
Full textMoser, Daniel, Scott Fish, Joseph Beaman, and Jayathi Murthy. "Multi-Layer Computational Modeling of Selective Laser Sintering Processes." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37535.
Full textGhiasi, Hossein, Damiano Pasini, and Larry Lessard. "Layer Separation for Optimization of Composite Laminates." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50106.
Full textLan, Weixian, and Julian Panetta. "Efficient Layer-by-Layer Simulation for Topology Optimization." In SCF '22: Symposium on Computational Fabrication. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3559400.3562000.
Full textInoue, Yukari, Matej Hala, Alexander Steigert, Reiner Klenk, and Susanne Siebentritt. "Optimization of buffer layer/i-layer band alignment." In 2015 IEEE 42nd Photovoltaic Specialists Conference (PVSC). IEEE, 2015. http://dx.doi.org/10.1109/pvsc.2015.7355902.
Full textSun, Yunlong. "Interference effect on laser trimming and layer thickness optimization." In Proc Int 91, edited by Bodil Braren. SPIE, 1991. http://dx.doi.org/10.1117/12.51029.
Full textSoumplis, P., P. Pananikolaou, K. Christodoulopoulos, N. Argyris, C. Spatharakis, S. Dris, H. Avramopoulos, and E. Varvarigos. "Cross-layer optimization: Network cost vs. physical layer margins." In 2015 17th International Conference on Transparent Optical Networks (ICTON). IEEE, 2015. http://dx.doi.org/10.1109/icton.2015.7193690.
Full textSaul, Andreas, and Gunther Auer. "Analysis of Cross-Layer Optimization between Application and Link Layer." In 2007 4th International Symposium on Wireless Communication Systems. IEEE, 2007. http://dx.doi.org/10.1109/iswcs.2007.4392459.
Full textReports on the topic "Layer by layer optimization"
Previdi, S., M. Stiemerling, R. Woundy, and Y. Yang. Application-Layer Traffic Optimization (ALTO) Requirements. Edited by S. Kiesel. RFC Editor, September 2012. http://dx.doi.org/10.17487/rfc6708.
Full textKiesel, S., S. Previdi, W. Roome, S. Shalunov, and R. Woundy. Application-Layer Traffic Optimization (ALTO) Protocol. Edited by R. Alimi, R. Penno, and Y. Yang. RFC Editor, September 2014. http://dx.doi.org/10.17487/rfc7285.
Full textSeedorf, J., and E. Burger. Application-Layer Traffic Optimization (ALTO) Problem Statement. RFC Editor, October 2009. http://dx.doi.org/10.17487/rfc5693.
Full textKiesel, S., M. Stiemerling, N. Schwan, M. Scharf, and H. Song. Application-Layer Traffic Optimization (ALTO) Server Discovery. RFC Editor, November 2014. http://dx.doi.org/10.17487/rfc7286.
Full textStiemerling, M., S. Kiesel, M. Scharf, H. Seidel, and S. Previdi. Application-Layer Traffic Optimization (ALTO) Deployment Considerations. RFC Editor, October 2016. http://dx.doi.org/10.17487/rfc7971.
Full textRandriamasy, S., W. Roome, and N. Schwan. Multi-Cost Application-Layer Traffic Optimization (ALTO). RFC Editor, October 2017. http://dx.doi.org/10.17487/rfc8189.
Full textRandriamasy, S., R. Yang, Q. Wu, L. Deng, and N. Schwan. Application-Layer Traffic Optimization (ALTO) Cost Calendar. RFC Editor, November 2020. http://dx.doi.org/10.17487/rfc8896.
Full textWu, Q., Y. Yang, Y. Lee, D. Dhody, S. Randriamasy, and L. Contreras. Application-Layer Traffic Optimization (ALTO) Performance Cost Metrics. RFC Editor, August 2023. http://dx.doi.org/10.17487/rfc9439.
Full textKiesel, S., and M. Stiemerling. Application-Layer Traffic Optimization (ALTO) Cross‑Domain Server Discovery. RFC Editor, February 2020. http://dx.doi.org/10.17487/rfc8686.
Full textMaurer, Scott M., David L. Fowler, and David K. Friday. Optimization and Measurement of Water Removal on a Laboratory Scale-PSA System; Summary Report: 13X, 3-Layer, 4-Layer, and 5-Layer PSA Beds. Fort Belvoir, VA: Defense Technical Information Center, November 1997. http://dx.doi.org/10.21236/ada333299.
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