Academic literature on the topic 'Hyperscan'
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Journal articles on the topic "Hyperscan"
Shuai, Longwen, and Suo Li. "Performance optimization of Snort based on DPDK and Hyperscan." Procedia Computer Science 183 (2021): 837–43. http://dx.doi.org/10.1016/j.procs.2021.03.007.
Full textMulyati, Mulyati. "PENINGKATAN KETERAMPILAN MEMBACA PEMAHAMAN MELALUI METODE HYPERSCAN PADA SISWA SMA MUHAMMADIYAH 2 PALEMBANG." Jurnal Ilmiah Bina Edukasi 14, no. 1 (June 30, 2021): 46–58. http://dx.doi.org/10.33557/jedukasi.v14i1.1369.
Full textAnzolin, Alessandra, Arvina Grahl, Kylie Isenburg, Jlenia Toppi, Angela Ciaramidaro, Maya Barton Zuckerman, Meryem Yucel, et al. "Brain-to-brain patient-clinician connectivity is directionally modulated by chronic low back pain therapy: an electroencephalography hyperscan approach." Journal of Pain 22, no. 5 (May 2021): 601. http://dx.doi.org/10.1016/j.jpain.2021.03.093.
Full textJersky, Brian. "Hyperstat." American Statistician 57, no. 4 (November 2003): 316–17. http://dx.doi.org/10.1198/tas.2003.s229.
Full textIannella, Renato. "HyperSAM." ACM SIGCHI Bulletin 27, no. 2 (April 1995): 42–45. http://dx.doi.org/10.1145/202511.202522.
Full textWhite, Keith. "The hypersign." European Legacy 2, no. 3 (May 1997): 478–83. http://dx.doi.org/10.1080/10848779708579761.
Full textFinkelstein, David, Shlomit Ritz Finkelstein, and Christian Holm. "Hyperspin manifolds." International Journal of Theoretical Physics 25, no. 4 (April 1986): 441–63. http://dx.doi.org/10.1007/bf00670769.
Full textFinkelstein, David. "Hyperspin and Hyperspace." Physical Review Letters 56, no. 15 (April 14, 1986): 1532–33. http://dx.doi.org/10.1103/physrevlett.56.1532.
Full textAL-AYYOUB, ABDEL-ELAH, and KHALED DAY. "FAST LU FACTORIZATION ON THE HYPERSTAR INTERCONNECTION NETWORK." Journal of Interconnection Networks 03, no. 03n04 (September 2002): 231–43. http://dx.doi.org/10.1142/s0219265902000641.
Full textAl-Ayyoub, Abdel-Elah, and Khaled Day. "The Hyperstar Interconnection Network." Journal of Parallel and Distributed Computing 48, no. 2 (February 1998): 175–99. http://dx.doi.org/10.1006/jpdc.1997.1414.
Full textDissertations / Theses on the topic "Hyperscan"
Finkelstein, Shlomit Ritz. "Gravity in hyperspin manifolds." Diss., Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/27974.
Full textŠišmiš, Lukáš. "Optimalizace IDS/IPS systému Suricata." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445503.
Full textHolm, Christian. "The hyperspin structure of Einstein universes and their neutrino spectrum." Diss., Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/29178.
Full textDäbritz, Frank. "Hyperstern-Polymere mit hochverzweigten Kernen und polaren Armen - Ihre Synthese, Charakterisierung und Anwendung als Reaktivbinder in Epoxy-basierten Photo- und Thermolacken." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-77588.
Full textLee, Hsing Chung. "Hypersign: an interactive sign language dictionary." 1989. http://hdl.handle.net/2097/23747.
Full textZohary, Tamar. "On the ecology of hyperscum-forming Microsystis aeruginosa in a hypertrophic African lake." Thesis, 1987. http://hdl.handle.net/10413/10512.
Full textThesis (Ph.D.)-University of Natal, Pietermaritzburg, 1987.
Hsu, Hua-Yu, and 許華宇. "Remote Sensing of Inland and Costal Waters Quality Using Shipborne Hyper Surface Acquisition System (HyperSAS)." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/54997961790098572497.
Full text國立成功大學
衛星資訊暨地球環境研究所
97
Inland and coastal waters are the most important water resources for human beings, however, general approaches for assessing the water qualities of such an important water resource all rely on the data collected at a few sampling point. Those data are usually insufficient to identify the spatiotemporal variations of water-quality parameters. Water quality parameters derived from the remote sensing techniques may have potential to extend current monitoring results to comprehensively assess the water status. Although the progressing in remote sensing technology has enabled the observations of ocean color to be made from space, the existing spaceborne ocean color sensors are inappropriate for monitoring the water quality of inland water because of the limited spatial resolutions. Monitoring the inland water quality using airborne hyperspectral sensor is better but costly on a regular basis. The newly developed shipborne Hyper Surface Acquisition System (HyperSAS) can be deployed as a primary tool to monitor the water quality or a ground truth collector for calibrating airborne and spaceborne sensors. Several in-situ and numerical experiments were conducted to test the data sensitivity of HyperSAS in different operation conditions and thus the standard operation procedures (SOP) were made to give reliable measurements of water-surface reflectance in ships. Five field campaigns to Tsengwen Reservoir (TWR) (inland water), Gao-Ping (Kao-Ping) River mouth (coastal water), and southwest coastal of Taiwan (SW) (coastal water) were conducted during March 2008 to July 2009. In the cruise of 11/28/2008, field campaign to TWR was conducted simultaneously with an airborne imager (Intelligent Spectral Imager System, ISIS). A newly developed water color retrieval algorithm, GA-SA, was applied to derive the concentration of chlorophyll-a (Chl-a), color dissolved organic matter (CDOM), suspended solids (SS) and non-algal particles (NAP) from the HyperSAS-measured reflectance (Rrs). Additionally, the optimal spectral bands of HyperSAS for water constituent retrieval were obtained using band selection methods for improving the efficiency of GA-SA. SOP of HyperSAS For a reliable measurement of Rrs, the distance between water surface and the sensor for measuring the surface radiance should be 1.5m or larger. A significant direct sun-glint effect was found in the measured Rrs when the radiance sensors are pointed at the azimuth angle between 0° and 135° to the solar plane. An optimal range 30° to 50° is suggested for the zenith angle of sky radiance measurement (also the nadir angle for measuring the surface radiance). Finally, the irradiance sensor should not be shaded when the Rrs is measuring. Accuracy assessment of water quality inversion using GA-SA and shipborne HyperSAS In two TWR cruises that HyperSAS were operated as the SOP given above, the measured Rrs gives good retrievals of Chl-a and SS using GA-SA and Case2 bio-optical models, as the mean absolute error (MAE) are all within 35%. The SW region contains not only optically Case 1 but also Case 2 waters in one cruise, thus the overall water quality inversion in this area is not as good as TWR where the optical properties are relatively consistent. Therefore, we developed a band ratio index using Rrs measured at 405 nm and 550 nm to determine the suitable bio-optical model for GA-SA before the retrieval. The overall accuracy for water quality inversion are improved significantly by this new approach, as the MAE for Chl-a and SS were improved from 137% to 58% and from 57% to 47%, respectively. Other applications of HyperSAS The shipborne HyperSAS can be deployed as a ground truth collector to provide reliable surface reflectance data for the atmospheric correction of airborne and spaceborne sensors. In the case of ISIS mission, the deviation of Chl-a and SS inversion from atmospheric corrected ISIS image were improved, as the MAE were all within 50% and the ISIS image was capable to mapping the reservoir water quality. In the case of Gao-Ping River mouth, the river plume can be classified in terms of the particle contents using the Rrs spectrum measured by HyperSAS. This newly developed classification method can be further applied in satellite imagery, such as the high temporal/spatial resolution Formosat-2 imagery.
Books on the topic "Hyperscan"
Lane, David. Hyperstat. 2nd ed. Cincinnati, OH: Atomic Dog Pub., 2001.
Find full textVreeken, Rob. Bombay, hyperstad. Amsterdam: Meulenhoff, 2006.
Find full textMcMenamin, Mark A. S. Hypersea: Life on land. New York: Columbia University Press, 1994.
Find full textMcMenamin, Mark. Hypersea: Life on land. New York: Columbia University Press, 1994.
Find full textDavid, Lane. Hyperstat. 2nd ed. Atomic Dog Publishing, 2001.
Find full textMcMenamin, Dianna L. S., and Mark A. S. McMenamin. Hypersea. Columbia University Press, 1996.
Find full textMcMenamin, Mark, and Dianna L. McMenamin. Hypersea: Life on Land. Columbia University Press, 1996.
Find full textLane, David M. Hyperstat: Macintosh Hypermedia for Analyzing Data and Learning Statistics. Morgan Kaufmann Pub, 1993.
Find full textAssembly Required: How to Hyperscale Your Sales, Dominate the Competition, and Become the Market Leader. An Inc. Original, 2017.
Find full textBook chapters on the topic "Hyperscan"
Parker, Greg. "Hyperstar III Imaging." In The Patrick Moore Practical Astronomy Series, 69–74. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46316-2_9.
Full textReinecke, Philipp, Tilman Krauß, and Katinka Wolter. "Phase-Type Fitting Using HyperStar." In Computer Performance Engineering, 164–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40725-3_13.
Full textWeissman, Ben, and Anthony E. Nocentino. "Deploying Azure Arc-Enabled PostgreSQL Hyperscale." In Azure Arc-Enabled Data Services Revealed, 97–102. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6705-9_6.
Full textOleksiak, Ariel, Michal Kierzynka, Wojciech Piatek, Micha vor dem Berge, Wolfgang Christmann, Stefan Krupop, Mario Porrmann, et al. "M2DC—A Novel Heterogeneous Hyperscale Microserver Platform." In Hardware Accelerators in Data Centers, 109–28. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92792-3_6.
Full textLynn, Theo. "Dear Cloud, I Think We Have Trust Issues: Cloud Computing Contracts and Trust." In Palgrave Studies in Digital Business & Enabling Technologies, 21–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54660-1_2.
Full textPerennou, Loïc, and Raja Chiky. "Applying Supervised Machine Learning to Predict Virtual Machine Runtime for a Non-hyperscale Cloud Provider." In Computational Collective Intelligence, 676–87. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28374-2_58.
Full text"The Hyperscape and Hypergrace:." In Hyperscapes in the Poetry of Frank O’Hara, 54–79. Liverpool University Press, 2000. http://dx.doi.org/10.2307/j.ctt5vjkg4.6.
Full text"The semiotic patterning of Cædmon's Hymn as a 'hypersign'." In Language, People, Numbers, 99–128. Brill | Rodopi, 2008. http://dx.doi.org/10.1163/9789401205474_011.
Full text"The Hyperscape and Hypergrace: The City and The Body." In Hyperscapes in the Poetry of Frank O'Hara, 54–79. Liverpool University Press, 2000. http://dx.doi.org/10.5949/liverpool/9780853239949.003.0003.
Full textConference papers on the topic "Hyperscan"
Styliaras, Georgios D. P., and Sotiris P. Christodoulou. "HyperSea." In the 20th ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1557914.1557924.
Full textReinecke, Philipp, Tilman Krauss, and Katinka Wolter. "HyperStar: Phase-Type Fitting Made Easy." In 2012 Ninth International Conference on Quantitative Evaluation of Systems (QEST). IEEE, 2012. http://dx.doi.org/10.1109/qest.2012.29.
Full textSchmidtke, Katharine. "Hyperscale data center applications of optoelectronics." In Metro and Data Center Optical Networks and Short-Reach Links II, edited by Madeleine Glick, Atul K. Srivastava, and Youichi Akasaka. SPIE, 2019. http://dx.doi.org/10.1117/12.2518569.
Full textWeerasinghe, Jagath, Francois Abel, Christoph Hagleitner, and Andreas Herkersdorf. "Enabling FPGAs in Hyperscale Data Centers." In 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom). IEEE, 2015. http://dx.doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.199.
Full textPiehler, David. "Optical interconnects in enterprise and hyperscale datacenters." In Optical Interconnects XX, edited by Henning Schröder and Ray T. Chen. SPIE, 2020. http://dx.doi.org/10.1117/12.2550150.
Full textNoriyuki Takahashi and Isao Yamada. "Steady-state performance of hyperslab projection algorithm." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518488.
Full textMittal, Gaurav, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, and Yun Fu. "HyperSTAR: Task-Aware Hyperparameters for Deep Networks." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00876.
Full textPitwon, Richard, Liam O'Faolain, Kazuhiko Kurata, Bernard Lee, and Tiger Ninomyia. "Hyperscale Integrated Optical and Photonic Interconnect Platform." In 2020 IEEE Photonics Conference (IPC). IEEE, 2020. http://dx.doi.org/10.1109/ipc47351.2020.9252246.
Full textWenbo Xia, Enzhen Hou, Xinpeng Mao, and Liukuo Wang. "Hyperscale AMI System Design and Construction Practice." In 11th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1820.
Full textStyliaras, Georgios D., and Sotirios P. Christodoulou. "Organizing personal web 2.0 content with Hypersea." In the 6th Euro American Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2261605.2261638.
Full textReports on the topic "Hyperscan"
Carter, P. H., D. J. Pines, and L. vonRggers Rudd. Advancement and Refinement of HyperSoar Modeling. Office of Scientific and Technical Information (OSTI), February 2000. http://dx.doi.org/10.2172/793451.
Full textFang, Chin. Boost the biopharmaceutical industry’s research efficiency with hyperscale data distribution. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1651183.
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