Academic literature on the topic 'Optimization of lens'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Optimization of lens.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Optimization of lens"
Chien, Ming-Chin, and Chung-Hao Tien. "Cluster LEDs mixing optimization by lens design techniques." Optics Express 19, S4 (June 9, 2011): A804. http://dx.doi.org/10.1364/oe.19.00a804.
Full textFORBES, GREG, and ANDREW JONES. "GLOBAL OPTIMIZATION IN LENS DESIGN." Optics and Photonics News 3, no. 3 (March 1, 1992): 22. http://dx.doi.org/10.1364/opn.3.3.000022.
Full textYen, Jyh Chyang, Jin Jia Chen, and Kuang Lung Huang. "Optimization and Analysis of Alvarez Lens." Advanced Materials Research 1079-1080 (December 2014): 889–94. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.889.
Full textTran Quang Dat, Gang-Won Jang, Hyu Sang Kwon, Seung Hyun Cho, Yo-Han Cho, and Hee-Seon Seo. "CO-KR-3 Shape optimization of acoustic lens beamformers." Proceedings of Mechanical Engineering Congress, Japan 2012 (2012): _CO—KR—3–1—_CO—KR—3–6. http://dx.doi.org/10.1299/jsmemecj.2012._co-kr-3-1.
Full textHesam Mahmoudi Nezhad, N., M. Ghaffarian Niasar, A. Mohammadi Gheidari, C. W. Hagen, and P. Kruit. "Multi-electrode lens optimization using genetic algorithms." International Journal of Modern Physics A 34, no. 36 (December 11, 2019): 1942020. http://dx.doi.org/10.1142/s0217751x1942020x.
Full textYan Qiang, 严强, 高椿明 Gao Chunming, 生艳梅 Sheng Yanmei, 陈霄 Chen Xiao, and 杨俊 Yang Jun. "Optimization Design of LED Collimating Lens." Laser & Optoelectronics Progress 50, no. 11 (2013): 112203. http://dx.doi.org/10.3788/lop50.112203.
Full textLiu, Ming Qiang, and Mladen Franko. "Thermal Lens Microscopy: Characterization and Optimization." Applied Mechanics and Materials 624 (August 2014): 317–21. http://dx.doi.org/10.4028/www.scientific.net/amm.624.317.
Full textChang, Jintao, Honghui He, Chao He, Yong Wang, Nan Zeng, Ran Liao, and Hui Ma. "Optimization of GRIN lens Stokes polarimeter." Applied Optics 54, no. 24 (August 19, 2015): 7424. http://dx.doi.org/10.1364/ao.54.007424.
Full textEdgcombe, C. J., A. R. Lupini, and J. H. Taylor. "Robust optimization for magnetic lens design." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 427, no. 1-2 (May 1999): 306–9. http://dx.doi.org/10.1016/s0168-9002(98)01537-x.
Full textBeach, Raymond J. "Theory and optimization of lens ducts." Applied Optics 35, no. 12 (April 20, 1996): 2005. http://dx.doi.org/10.1364/ao.35.002005.
Full textDissertations / Theses on the topic "Optimization of lens"
King, Angela Ph D. Massachusetts Institute of Technology. "Regression under a modern optimization lens." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98719.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 131-139).
In the last twenty-five years (1990-2014), algorithmic advances in integer optimization combined with hardware improvements have resulted in an astonishing 200 billion factor speedup in solving mixed integer optimization (MIO) problems. The common mindset of MIO as theoretically elegant but practically irrelevant is no longer justified. In this thesis, we propose a methodology for regression modeling that is based on optimization techniques and centered around MIO. In Part I we propose a method to select a subset of variables to include in a linear regression model using continuous and integer optimization. Despite the natural formulation of subset selection as an optimization problem with an lo-norm constraint, current methods for subset selection do not attempt to use integer optimization to select the best subset. We show that, although this problem is non-convex and NP-hard, it can be practically solved for large scale problems. We numerically demonstrate that our approach outperforms other sparse learning procedures. In Part II of the thesis, we build off of Part I to modify the objective function and include constraints that will produce linear regression models with other desirable properties, in addition to sparsity. We develop a unified framework based on MIO which aims to algorithmize the process of building a high-quality linear regression model. This is the only methodology we are aware of to construct models that imposes statistical properties simultaneously rather than sequentially. Finally, we turn our attention to logistic regression modeling. It is the goal of Part III of the thesis to efficiently solve the mixed integer convex optimization problem of logistic regression with cardinality constraints to provable optimality. We develop a tailored algorithm to solve this challenging problem and demonstrate its speed and performance. We then show how this method can be used within the framework of Part II, thereby also creating an algorithmic approach to fitting high-quality logistic regression models. In each part of the thesis, we illustrate the effectiveness of our proposed approach on both real and synthetic datasets.
by Angela King.
Ph. D.
Rogers, Adam. "Gravitational lens modeling with iterative source deconvolution and global optimization of lens density parameters." Journal of the Royal Astronomical Society of Canada, 2012. http://hdl.handle.net/1993/5283.
Full textDong, Junwei. "Microwave Lens Designs: Optimization, Fast Simulation Algorithms, and 360-Degree Scanning Techniques." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/29081.
Full textPh. D.
Côté, Marie. "Optimization of waveguide coupling lenses using lens design software." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187385.
Full textWei, Kang. "Bio-inspired Reconfigurable Elastomer-liquid Lens: Design, Actuation and Optimization." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429657034.
Full textEricsson, Kenneth, and Robert Grann. "Image optimization algorithms on an FPGA." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5727.
Full text
In this thesis a method to compensate camera distortion is developed for an FPGA platform as part of a complete vision system. Several methods and models is presented and described to give a good introduction to the complexity of the problems that is overcome with the developed method. The solution to the core problem is shown to have a good precision on a sub-pixel level.
Garcia, Gonzalez Hector Camerino. "Optimization of composite tubes for a thermal optical lens housing design." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969/383.
Full textFreiheit, Andrew J. "improving contact lens manufacturing through cost modeling and batch production scheduling optimization." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122592.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MIT
Cataloged from PDF version of thesis.
Includes bibliographical references (page 55).
J&J Vision Care (JJVC) uses production scheduling methods that are not fully optimized, causing over-production of certain SKUs, and reducing capacity for other SKUs on backorder. This makes planning a weekly run-schedule for each line difficult. It is also difficult to understand where to invest capital to create an optimally flexible fleet of production lines. JJVC is currently capacity-constrained, so optimizing the production to increase output will directly translate to additional revenue. The three main areas that the leadership team wants to explore in this project are: 1. What is our current fleet flexibility? 2. How much capacity can be freed up if our fleet was more flexible? 3. Can we create a cost modeling tool that will provide more granularity in brand and sales channel profitability? First, the brands and SKUs on each line that are "validated" to run (by FDA, etc.) must be quantified.
Not all validated SKUs on a line are "runnable" though: Process issues often arise in the plant that prevent some of these validated SKUs from being produced (e.g. mechanical tolerances, chemistry, etc.). Therefore, the gap between validated and runnable SKUs will be an opportunity to explore. One constraint originally studied was the "runnable" vs "validated" prescriptions at the Jacksonville site; The percentage of runnable vs validated SKUs is only 73%, meaning that 27% of the prescriptions that J&J invested time and money to validate cannot be produced on certain lines due to manufacturing issues. The impact of this constraint and others can be quantified to identify improvement opportunities. Second, potential additional capacity can be calculated by running a sensitivity analysis with the planning tool (i.e. the optimization model) to analyze how outputs (e.g. throughput, changeover times, etc.) are affected by changing certain inputs: Mold, core, and pack change times, production rate, minimum lot sizes, service level, etc. It is also possible to change the objective function to place more weight on certain user-defined parameters.
The impact of these changes were observed by collecting the master planning data for a defined time-period and running optimization scenarios. Various time horizons were used to gain an accurate understanding of the impact. Third, to understand how the initiatives described above improve both revenue and costs, a clear understanding of the profitability of each lens must be considered before JJVC management makes high-level strategic decisions. To make this possible, a Total Delivered Cost (TDC) model was developed and published a for the Contact Lens supply chain.
by Andrew J. Freiheit.
M.B.A.
S.M.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
Khamlaj, Tariq A. "Analysis and Optimization of Shrouded Horizontal Axis Wind Turbines." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1543845571758119.
Full textJabbour, Toufic. "DESIGN, ANALYSIS, AND OPTIMIZATION OF DIFFRACTIVE OPTICAL ELEMENTS UNDER HIGH NUMERICAL APERTURE FOCUSING." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2837.
Full textPh.D.
Optics and Photonics
Optics and Photonics
Optics PhD
Books on the topic "Optimization of lens"
Yabe, Akira. Optimization in Lens Design. SPIE, 2018. http://dx.doi.org/10.1117/3.2322375.
Full textMythen, Monty, and Michael P. W. Grocott. Peri-operative optimization of the high risk surgical patient. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0361.
Full textBaker, Kenneth. Optimization Modeling with Spreadsheets (with CD-ROM) (Duxbury Applied Series). Duxbury Press, 2005.
Find full textMarie, Berard. Part IX Costs, Funding, and Ideas for Optimization, 27 ‘Other Costs’ in International Arbitration: A Review of the Recoverability of Internal and Third-Party Funding Costs. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198783206.003.0028.
Full textBook chapters on the topic "Optimization of lens"
Liu, Chang, and Fuchun Sun. "Lens Distortion Correction Using ELM." In Proceedings in Adaptation, Learning and Optimization, 21–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14066-7_3.
Full textGuangzhen, Wang, and Hou Yu. "The Optimization of Terahertz Collimating Lens." In Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems, 499–505. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49831-6_50.
Full textMaslov, Konstantin. "Acoustic Microscope Lens Optimization for Subsurface Imaging." In Acoustical Imaging, 245–52. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2958-3_33.
Full textMadhe, Swati, and Raghunath Holambe. "Convex Optimization-Based Filter Bank Design for Contact Lens Detection." In Advances in Intelligent Systems and Computing, 781–90. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1513-8_79.
Full textLeón, Noel, Humberto Aguayo, Hector García, and Alán Anaya. "Computer Aided Optimization/Innovation of Passive Tracking Solar Concentration Fresnel Lens." In Building Innovation Pipelines through Computer-Aided Innovation, 57–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22182-8_6.
Full textSahler, Ruth, and Josef F. Bille. "Refractive Index Shaping: In Vivo Optimization of an Implanted Intraocular Lens (IOL)." In High Resolution Imaging in Microscopy and Ophthalmology, 319–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16638-0_15.
Full textRossetto, Bruno. "Trajectoires Lentes des Systemes Dynamiques Lents-Rapides." In Analysis and Optimization of Systems, 680–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0007600.
Full textBaratehart, Laurent, and José Grimm. "Une structure differentielle pour les systèmes implicites." In Analysis and Optimization of Systems, 574–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0007591.
Full textKaibel, Volker. "Polyhedral Combinatorics of Quadratic Assignment Problems with Less Objects than Locations." In Integer Programming and Combinatorial Optimization, 409–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-69346-7_31.
Full textUwano, Fumito, and Keiki Takadama. "Communication-Less Cooperative Q-Learning Agents in Maze Problem." In Proceedings in Adaptation, Learning and Optimization, 453–67. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49049-6_33.
Full textConference papers on the topic "Optimization of lens"
Courtial, Johannes, Jakub Bělín, Tomáš Tyc, and Stephen Oxburgh. "Ideal-lens stars." In Novel Optical Systems Design and Optimization XX, edited by Arthur J. Davis, Cornelius F. Hahlweg, and Joseph R. Mulley. SPIE, 2017. http://dx.doi.org/10.1117/12.2272991.
Full textCourtial, Johannes, Stephen Oxburgh, Jakub Bělín, and Euan Cowie. "Experimental realisability of lens cloaks." In Novel Optical Systems Design and Optimization XX, edited by Arthur J. Davis, Cornelius F. Hahlweg, and Joseph R. Mulley. SPIE, 2017. http://dx.doi.org/10.1117/12.2272990.
Full textAndersen, Torben B. "Multiple-temperature lens design optimization." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Robert E. Fischer and Warren J. Smith. SPIE, 1993. http://dx.doi.org/10.1117/12.163628.
Full textRimmer, Matthew P., Thomas J. Bruegge, and Thomas G. Kuper. "MTF optimization in lens design." In 1990 Intl Lens Design Conf, edited by George N. Lawrence. SPIE, 1991. http://dx.doi.org/10.1117/12.47915.
Full textDilworth, Donald C. "Automatic Lens Optimization: Recent Improvements." In 1985 International Lens Design Conference, edited by Duncan T. Moore and William H. Taylor. SPIE, 1986. http://dx.doi.org/10.1117/12.949224.
Full textBesenmatter, Walter. "Weight optimization in lens design." In Optical Systems Design 2005, edited by Laurent Mazuray and Rolf Wartmann. SPIE, 2005. http://dx.doi.org/10.1117/12.625059.
Full textBenham, Paul, and Michael J. Kidger. "Optimization of athermal systems." In 1990 Intl Lens Design Conf, edited by George N. Lawrence. SPIE, 1991. http://dx.doi.org/10.1117/12.47894.
Full textLanguy, Fabian, and Serge Habraken. "Hybrid Lens for Solar Concentration: Optimization of the Multilayer Diffractive Lens." In Optical Instrumentation for Energy and Environmental Applications. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/e2.2012.jm5a.20.
Full textYang, Daren, Huilin Jiang, Gongde Li, and Huamin Yang. "Optimization of original lens structure type from optical lens data base." In San Diego, '91, San Diego, CA, edited by Robert E. Fischer and Warren J. Smith. SPIE, 1991. http://dx.doi.org/10.1117/12.48680.
Full textLiu, Changbin, Anxue Zhang, and Siming Liu. "Permittivity Optimization of Lens Based on Multibeam Planar Luneberg Lens Antenna." In 2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT). IEEE, 2020. http://dx.doi.org/10.1109/iceict51264.2020.9334240.
Full textReports on the topic "Optimization of lens"
Smugeresky, J. E., D. M. Keicher, J. A. Romero, M. L. Griffith, and L. D. Harwell. Laser engineered net shaping (LENS{trademark}) process: Optimization of surface finish and microstructural properties. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/554828.
Full textBadia, R., J. Ejarque, S. Böhm, C. Soriano, and R. Rossi. D4.4 API and runtime (complete with documentation and basic unit testing) for IO employing fast local storage. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.9.001.
Full text