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Relevant bibliographies by topics / Lightsabers

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Academic literature on the topic 'Lightsabers'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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Journal articles on the topic "Lightsabers"

1

Gooding, Josh. "Lightsabers theory." Physics World 30, no. 2 (February 2017): 22. http://dx.doi.org/10.1088/2058-7058/30/2/38.

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Fillion-Gourdeau, François, and Jean-Sébastien Gagnon. "On the physical (im)possibility of lightsabers." European Journal of Physics 40, no. 5 (August 20, 2019): 055201. http://dx.doi.org/10.1088/1361-6404/ab274a.

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Panganiban, Katherine M., and Catherine S. C. Teh. "AB002. “Lightsabers” fluorescence imaging in laparoscopic liver surgery." Annals of Laparoscopic and Endoscopic Surgery 3 (August 2018): AB002. http://dx.doi.org/10.21037/ales.2018.ab002.

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Li, Boyang, and Mark Riedl. "A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 7, no. 2 (October 9, 2011): 41–48. http://dx.doi.org/10.1609/aiide.v7i2.12465.

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Most computational story generation systems lack the ability to generate new types of imaginary objects that play functional roles in stories, such as lightsabers in Star Wars. We present an algorithm that generates such imaginary objects, which we call gadgets, in order to extend the ontological expressivity of existing, planning-based story generation systems. The behavior of a gadget is represented as a plan including typical events that happen when the gadget is used. Our algorithm creates gadgets by extrapolating and merging one or more commonly known objects in order to achieve a narrative goal provided by an existing story generator. We extend partial-order planning to establish open conditions based on analogies between concepts related respectively to common objects and the gadget. We show the algorithm is capable of generating gadgets created by human.

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SEO, Min-Kyo. "Micro-optical Maximization of Photon-photon Interaction." Physics and High Technology 33, no. 3 (March 29, 2024): 11–15. http://dx.doi.org/10.3938/phit.33.006.

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In the “Star Wars” movies, Jedi knights engage in dazzling duels with lightsabers that confine light and push it against each other. However, confining photons or enabling their interaction in reality, especially in free space, is extremely challenging. Photon-photon interactions, which are only possible through optical nonlinearity, are difficult to achieve with conventional materials. The quest to confine photons in a specific space for as long as possible, and to allow individual photons to interact with each other, is a major challenge for researchers in physics and optics. Since the invention of the laser, the study of optical nonlinearity has been the foundation of various modern scientific and technological advances that contribute significantly to our daily lives. Recently, optical nonlinearity has become a central platform for quantum information, computing, and sensing research, highlighting its growing importance. This article discusses a new turning point in optical nonlinearity based on micro-resonators, and presents efforts and future perspectives to realize photon-photon interactions.

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Northfield, R. "Making a lightsaber [sci-fi weapon]." Engineering & Technology 10, no. 12 (December 1, 2015): 38–41. http://dx.doi.org/10.1049/et.2016.1202.

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Alvarado, I., and J. M. Maestre. "A Lightsaber to Introduce Students to Microcontrollers." IFAC-PapersOnLine 52, no. 9 (2019): 139–43. http://dx.doi.org/10.1016/j.ifacol.2019.08.181.

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Andric, Tomislav, and Jan Harms. "Lightsaber: A Simulator of the Angular Sensing and Control System in LIGO." Galaxies 9, no. 3 (September 5, 2021): 61. http://dx.doi.org/10.3390/galaxies9030061.

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The suspended test masses of gravitational-wave (GW) detectors require precise alignment to be able to operate the detector stably and with high sensitivity. This includes the continuous counter-acting of seismic disturbances, which, below a few Hertz, are not sufficiently reduced by the seismic isolation system. The residual angular motion of suspended test masses is further suppressed by the Angular Sensing and Control (ASC) system. However, in doing so, the angular motion can be enhanced by the ASC at higher frequencies where the seismic isolation system is very effective. This has led to sensitivity limitations between about 10 Hz and 25 Hz of the LIGO detectors in past observation runs. The observed ASC noise was larger than simple models predict, which means that more accurate detector models and new simulation tools are required. In this article, we present Lightsaber, a new time-domain simulator of the ASC in LIGO. Lightsaber is a nonlinear simulation of the optomechanical system consisting of the high-power cavity laser beam and the last two stages of suspension in LIGO including the ASC. The main noise inputs are power fluctuations of the laser beam at the input of the arm cavities, read-out noise of sensors used for the ASC, displacement noise from the suspension platforms, and noise introduced by the suspension damping loops. While the plant simulation uses local degrees of freedom of individual suspension systems, the control is applied on a global angular basis, which requires a conversion between the local and global bases for sensing and actuation. Some of the studies that can be done with this simulation concern mis-centering of the beam-spot (BS) position on the test masses, the role of laser power fluctuations for angular dynamics, and the role of the various nonlinear dynamics. The next important step following this work will be a detailed comparison between Lightsaber results and data from the control channels of the LIGO detectors.

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9

Kotak, Sachin. "Mitotic Spindle: Illuminating Spindle Positioning with a Biological Lightsaber." Current Biology 28, no. 22 (November 2018): R1308—R1310. http://dx.doi.org/10.1016/j.cub.2018.09.047.

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10

Simon, Nisha. "Does Robin Hood Use a Lightsaber?: Automated Planning for Storytelling." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (March 24, 2024): 23421–22. http://dx.doi.org/10.1609/aaai.v38i21.30411.

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Humans have been using stories to entertain, educate, and persuade audiences for centuries. The advent of modern AI tools in the form of Large Language Models (LLMs) such as chatGPT continues to fulfill this purpose. However while recent work has shown that LLMs can successfully be used for narrative generation, they lack coherence and can be prone to repetition and stilted language. Automated Planning can therefore be combined with Natural Language text generation to create narratives (stories) that are logical, coherent, and believable. A planning model provides scaffolding to an LLM so that the LLM's language generation is context-dependent, in order to allow users to create more coherent, logical, and believable stories in a variety of domains.

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Books on the topic "Lightsabers"

1

Anderson, Kevin J. Lightsabers. London: Boxtree, 1997.

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Greve, Delia, ed. Star Wars Lightsabers: (2010) A Guide to Weapons of the Force. New York, USA: Scholastic, Inc., 2010.

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3

Grobarek, Erin Rose. Star Wars: Lightsaber Rescue. Lincolnwood, Illinois: Phoenix International Publications, Inc., 2015.

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4

(Firm), LucasArts, ed. Star wars, the clone wars: Lightsaber duels : Prima official game guide. Roseville, CA: Prima Games, 2008.

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5

King, Stephen. Wolves of the Calla. New York, USA: Scribner, 2004.

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King, Stephen. Wolves of the Calla. Hampton Falls, N.H: Donald M. Grant, 2003.

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King, Stephen. Wolves of the Calla. Hampton Falls, N.H., USA: Donald M. Grant, 2003.

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King, Stephen. Kala zhi lang: Wolves of the calla / Stephen King. Shanghai: Shanghai wen yi chu ban she, 2013.

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King, Stephen. Wolves of the Calla. Hampton Falls, NH: Scribner, 2004.

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King, Stephen. 卡拉之狼. Bei jing: Ren min wen xue chu ban she, 2007.

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Book chapters on the topic "Lightsabers"

1

Rowlett, Jacob. "Puffins, Porgs, Labour, and Lightsabers: Production and Consumption of Cultural Space on the Skellig Coast of Ireland." In Performative Representation of Working-Class Laborers, 193–209. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54880-2_12.

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2

"lightsabre | lightsaber, n." In Oxford English Dictionary. 3rd ed. Oxford University Press, 2023. http://dx.doi.org/10.1093/oed/1547706677.

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3

"LUKE SKYWALKER’S LIGHTSABER." In Rosebud Sleds and Horses' Heads, 62–63. Intellect Books, 2013. http://dx.doi.org/10.2307/j.ctv36xvv21.33.

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Conference papers on the topic "Lightsabers"

1

Hasan, I. M. M., and J. J. Simpson. "Lightsabers (“laster swords”) for improving photodetector speed and responsivity." In 2013 US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2013. http://dx.doi.org/10.1109/usnc-ursi-nrsm.2013.6525093.

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Theodorakis, Georgios, Alexandros Koliousis, Peter Pietzuch, and Holger Pirk. "LightSaber: Efficient Window Aggregation on Multi-core Processors." In SIGMOD/PODS '20: International Conference on Management of Data. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3318464.3389753.

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Xingbo Huang, Jingtai Liu, Lei Sun, Tao Chen, and Weiwei Sun. "Tele-Lightsaber - A Kind of Competitive Teleoperation^*." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1713788.

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Gigilas Junior, George, and Marco A. A. Henriques. "Avaliação de requisitos de processamento e memória do algoritmo de criptografia pós-quântica SABER em plataforma ARM Cortex-M0+." In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sbseg_estendido.2022.224574.

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O SABER é um esquema de encapsulamento de chaves CCA-seguro pós-quântico baseado em reticulados e finalista na terceira rodada padronização de algoritmos de criptografia pós-quântica do NIST. Neste trabalho, avaliamos sua execução em um microcontrolador ARM Cortex-M0+ e aplicamos otimizações sugeridas na literatura, adaptando-as para execução no SABER, no LightSABER, versão mais rápida, mas com menor segurança, e no FireSABER, versão mais lenta e mais segura. Essas otimizações diminuem o uso de memória, em troca de um número maior de ciclos de CPU, tornando a execução dos algoritmos viável em ambientes restritos.

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