Academic literature on the topic 'Index switching'
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Journal articles on the topic "Index switching"
Hajek, Jerry J., Thomas J. Kazmierowski, and Graham Musgrove. "Switching to International Roughness Index." Transportation Research Record: Journal of the Transportation Research Board 1643, no. 1 (January 1998): 116–24. http://dx.doi.org/10.3141/1643-15.
Full textBanks, Jeffrey S., and Rangarajan K. Sundaram. "Switching Costs and the Gittins Index." Econometrica 62, no. 3 (May 1994): 687. http://dx.doi.org/10.2307/2951664.
Full textLi, R., Z. G. Feng, K. L. Teo, and G. R. Duan. "Tracking control of linear switched systems." ANZIAM Journal 49, no. 2 (October 2007): 187–203. http://dx.doi.org/10.1017/s1446181100012773.
Full textVan Oyen, Mark P., Dimitrios G. Pandelis, and Demosthenis Teneketzis. "Optimality of index policies for stochastic scheduling with switching penalties." Journal of Applied Probability 29, no. 4 (December 1992): 957–66. http://dx.doi.org/10.2307/3214727.
Full textVan Oyen, Mark P., Dimitrios G. Pandelis, and Demosthenis Teneketzis. "Optimality of index policies for stochastic scheduling with switching penalties." Journal of Applied Probability 29, no. 04 (December 1992): 957–66. http://dx.doi.org/10.1017/s0021900200043825.
Full textGu, Xin, Bingxu Wei, Guozheng Zhang, Zhiqiang Wang, and Wei Chen. "Improved Synchronized Space Vector PWM Strategy for Three-Level Inverter at Low Modulation Index." Electronics 8, no. 12 (November 23, 2019): 1400. http://dx.doi.org/10.3390/electronics8121400.
Full textYim, Odilia, and Richard Clément. "“You’re a Juksing”: Examining Cantonese–English Code-Switching as an Index of Identity." Journal of Language and Social Psychology 38, no. 4 (July 27, 2019): 479–95. http://dx.doi.org/10.1177/0261927x19865572.
Full textDani, Keshav M., Zahyun Ku, Prashanth C. Upadhya, Rohit P. Prasankumar, S. R. J. Brueck, and Antoinette J. Taylor. "Subpicosecond Optical Switching with a Negative Index Metamaterial." Nano Letters 9, no. 10 (October 14, 2009): 3565–69. http://dx.doi.org/10.1021/nl9017644.
Full textYang Li, Zhenyuan Ji, Bingfei Li, and Gil Alterovitz. "Switching variability index based multiple strategy CFAR detector." Journal of Systems Engineering and Electronics 25, no. 4 (August 2014): 580–87. http://dx.doi.org/10.1109/jsee.2014.00068.
Full textK. Oseifuah, Emmanuel, and Carl H. Korkpoe. "A Markov regime switching approach to estimating the volatility of Johannesburg Stock Exchange (JSE) returns." Investment Management and Financial Innovations 16, no. 1 (March 12, 2019): 215–25. http://dx.doi.org/10.21511/imfi.16(1).2019.17.
Full textDissertations / Theses on the topic "Index switching"
Johnson, C. Dustin. "Set-Switching and Learning Transfer." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/psych_hontheses/7.
Full textDE, MARINO ADRIANO. "iSwap: a bioinformatics pipeline for index switching in Illumina sequencing platforms." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/314918.
Full textIn Next generation sequencing technologies, hundreds or thousands of DNA samples can be sequenced simultaneously (multiplexing) and the obtained sequencing reads can be distinguished by the presence of sample-specific nucleotide sequences (indexes) embedded in the primers used for the DNA amplification. Custom bioinformatics pipelines, by reading the indexes present in the sequencing reads assign them to a specific sample (demultiplexing). Multiplexing however is plagued by index switching, a phenomenon occurring when free index primers are randomly fused to DNA sequences belonging to other unrelated samples of the library pool and resulting in the incorrect assignment of sequences to one or multiple wrong samples. In the field of gene therapy (GT) (see Appendix A), vector integration site (IS) studies heavily depend on sequencing of DNA fragments (containing proviral-cellular genome junctions) from several samples and are affected by index switching. This issue is particularly relevant in clonal tracking studies, where the level of shared IS between different cell lineages or different time points of the same GT patient are required to define the levels of multilineage reconstitution and estimate the number of stem cells and other calculations. Therefore, the spreading of IS between datasets caused by index switching could result in inflated sharing IS levels which could lead to misinterpretation of the results. To evaluate the extent of index switching in IS analyses, we analysed 123,431,269 sequencing reads originating from a pool composed by 54 samples amplified in triplicate, each tagged by two indexes fused to the ends of the PCR products containing the LTR and Linker Cassette (LC) sequences resulting in 162 index combinations (combining a total of 48 LTR and 32 LC indexes). From this analysis we found that >95% of sequencing reads belonged to the correct 162 index combinations while a the remaining 5% of reads belonging to 1374 false index combinations resulting from frank events of index swapping. The levels of swapping were similar among the different LTR and LC indexes with an average of 1709 ± 3469 reads (range 9 to 52000) for false index combinations. We then evaluated the levels of sharing of univocally mapped IS between different samples and found that essentially all samples had different levels of contamination. Overall, 91.5% of IS were assigned to a single sample, 7.25% were found shared in two samples and the remaining 1.25% were present in more than 2 samples. Focusing on a sample from a cell line with 6 knowns IS we calculated the spreading levels and their relative abundance on other samples. From this analysis we found that at least one of the 6 know IS were found in 13 unrelated samples out of 54 (24%). In 3 out of 13 samples the amount of contaminating reads from this cell line reached levels ranging from 13 to 40% of the entire dataset. These high levels of contaminations justified the development of new approaches for indexing switching correction in IS studies. To this aim we developed a set of probabilistic and logic algorithms that allows to remove contaminating sequences. This study started with the integration site analysis, but after was extended to other different fields. In the thesis is showed a new method for cleaning dataset from this kind of contaminations.
Giroud, Xavier. "A Markov-Switching Equilibrium Correction Model for Intraday Futures and Stock Index Returns." St. Gallen, 2004. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/99630345001/$FILE/99630345001.pdf.
Full textThompson, Jonathan R. "Dynamics of Singlet Excitons in Alq3 and Magnetic Mode Switching in Index Matched Organic Waveguides." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535459125887475.
Full textKim, Hyeongeu. "Investigation of optical properties of polymethines for potential application in all-optical signal processing." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53579.
Full textCergibozan, Raif. "La prévision des périodes de stress fiscal : le rôle des indicateurs fiscaux, financiers et de gouvernance." Thesis, Paris 10, 2018. http://www.theses.fr/2018PA100143/document.
Full textEurope went through the most severe economic crisis of its recent history following the global financial crisis of 2008. Hence, this thesis aims to empirically identify the determinants of this crisis within the framework of 15 core EU member countries (EU-15). To do so, the study develops a continuous fiscal stress index, contrary to previous empirical studies that tend to use event-based crisis indicators, which identifies the debt crises in the EU-15 and the study employs three different estimation techniques, namely Self-Organizing Map, Multivariate Logit and Panel Markov Regime Switching models. Our estimation results show first that the study identifies correctly the time and the length of the debt crisis in each EU-15-member country by developing a fiscal stress index. Empirical results also indicate, via three different models, that the debt crisis in the EU-15 is the consequence of deterioration of both financial and macroeconomic variables such as nonperforming loans over total loans, GDP growth, unemployment rates, primary balance over GDP, and cyclically adjusted balance over GDP. Besides, variables measuring governance quality, such as voice and accountability, regulatory quality, and government effectiveness, also play a significant role in the emergence and the duration of the debt crisis in the EU-15. As the econometric results clearly indicate the importance of fiscal deterioration on the occurrence of the European debt crisis, this study also aims to test the fiscal convergence among the EU member countries. The results indicate that Portugal, Ireland, Italy, Greece, and Spain diverge from other EU-15 countries in terms of public debt-to-GDP ratio. In addition, results also show that all PIIGS countries except for Greece converge to EU-10 in terms of budget deficit-to-GDP ratio
Berberovic, Adnan, and Alexander Eriksson. "A Multi-Factor Stock Market Model with Regime-Switches, Student's T Margins, and Copula Dependencies." Thesis, Linköpings universitet, Produktionsekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143715.
Full textHsieh, Kun Han, and 謝昆翰. "Coincident, Leading Index and Two-State Markov Switching Model." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/29207226225604583429.
Full textShih, Mei Hsu, and 施美旭. "Variables Quick Switching Sampling System Based on Process Performance Index." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/t3zw59.
Full text國立清華大學
工業工程與工程管理學系
103
Acceptance sampling plans are practical tools for quality management applications and provide the producer and consumer a general rule for lot sentencing and reduce the cost. As the rapid advancement of manufacturing technology, suppliers required their products to be of high quality with very low fraction of defectives often measured in Parts Per Million(PPM). Process capability indices are convenient and powerful tools for measuring process performance and it is widely used in Acceptance sampling plans. This paper attempts to develop a Variables Quick Switching Sampling System(VQSS System)based on the Cpk index. The VQSS System consists of two inspection plan along with a set of switching rules between them. The first sampling plan, called normal inspection plan, is applied for periods with good quality. The second sampling plan, called tightened inspection plan, is applied for use during problems encountered periods. The probabilities of acceptance under normal inspection and tightened inspection are derived, and the proposed VQSS System is also developed based on the exact sampling distribution rather than approximation approach. Three types of the proposed plan parameters are determined by solving a non-linear optimization problem with two-point conditions on the OC curve. The behavior and performance of the proposed sampling system is discussed and also compared with the conventional variables sampling plans. Finally, tables of the plan parameters for various selected quality levels and risks are provided for practical applications.
Chuang, Ya Han, and 莊雅涵. "Developing a Quick Switching Sampling System Based on Taguchi Capability Index." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/94493969130006790957.
Full text國立清華大學
工業工程與工程管理學系
104
Acceptance sampling plan is a practical quality tool which evaluates only parts of products and then decides whether to accept or not on the submitted lot. Quick switching sampling (QSS) system is combined with two variables single sampling plans under normal inspection and tightened inspection. In order to provide numerical measures on process performance, several process capability indices (PCIs) have been applied. Taguchi capability index is developed by incorporating the Taguchi loss function, and takes the process targeting and process variability into consideration simultaneously. This research develops a variables QSS system of three types based on Taguchi capability index. To determine the parameters of three types of system, the problems are formulated as optimization programming. The objective function is to minimize the average sample number (ASN), and the constraints functions are set to fulfill two-point conditions on the operating characteristic (OC) curve. The performance of proposed system is discussed and compared with single sampling plan. Lastly, an application example is illustrated.
Books on the topic "Index switching"
Akpalu, Wisdom, and Xu Zhang. Fast-food consumption and child body mass index in China: Application of an endogenous switching regression model. UNU-WIDER, 2014. http://dx.doi.org/10.35188/unu-wider/2014/860-5.
Full textBook chapters on the topic "Index switching"
Rakpho, Pichayakone, Woraphon Yamaka, and Songsak Sriboonchitta. "Markov Switching Quantile Model Unknown tau Energy Stocks Price Index Thailand." In Structural Changes and their Econometric Modeling, 488–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04263-9_38.
Full textYamaka, Woraphon, Rungrapee Phadkantha, and Paravee Maneejuk. "Herding Behavior Existence in MSCI Far East Ex Japan Index: A Markov Switching Approach." In Data Science for Financial Econometrics, 327–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48853-6_23.
Full textMizumoto, Tetsuya, Yoichi Akano, Kazuhiko Tamura, and Masaki Yoshimura. "DFB Waveguide All-Optical Switching Devices Employing Pump-Induced Refractive Index Change in GaInAsP." In Semiconductor Photonics: Nano-Structured Materials and Devices, 206–8. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-471-5.206.
Full textMorino, Shin'ya, and Kazuyuki Horie. "Photoinduced Refractive Index Changes of Polymer Films Containing Photochromic Dyes and Evaluation of the Minimal Switching Energy." In ACS Symposium Series, 260–79. Washington, DC: American Chemical Society, 1997. http://dx.doi.org/10.1021/bk-1997-0672.ch018.
Full text"Index." In Resistive Switching, 737–56. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527680870.index.
Full text"Index." In Phenotypic Switching, 705–21. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-817996-3.00033-5.
Full text"Index." In Switching Channels, 353–60. Harvard University Press, 2005. http://dx.doi.org/10.4159/9780674029293-015.
Full text"Index." In Photonics in Switching, 319–22. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-12-496051-0.50015-0.
Full text"Index." In Demystifying Switching Power Supplies, 319–23. Elsevier, 2005. http://dx.doi.org/10.1016/b978-075067445-4/50013-4.
Full text"Index." In Troubleshooting Switching Power Converters, 293–303. Elsevier, 2008. http://dx.doi.org/10.1016/b978-075068421-7.50016-3.
Full textConference papers on the topic "Index switching"
"Author index." In International Symposium on Switching. IEEE, 1990. http://dx.doi.org/10.1109/iss.1990.761783.
Full text"Author index." In International Symposium on Switching. IEEE, 1990. http://dx.doi.org/10.1109/iss.1990.765798.
Full text"Author index." In International Symposium on Switching. IEEE, 1990. http://dx.doi.org/10.1109/iss.1990.766609.
Full text"Author index." In International Symposium on Switching. IEEE, 1990. http://dx.doi.org/10.1109/iss.1990.768697.
Full text"Author index." In International Symposium on Switching. IEEE, 1990. http://dx.doi.org/10.1109/iss.1990.770088.
Full text"Author Index." In 2007 Photonics in Switching. IEEE, 2007. http://dx.doi.org/10.1109/ps.2007.4300796.
Full text"Index." In 2015 International Conference on Photonics in Switching (PS). IEEE, 2015. http://dx.doi.org/10.1109/ps.2015.7328919.
Full text"Index." In 2001 IEEE Workshop on High Performance Switching and Routing. IEEE, 2001. http://dx.doi.org/10.1109/hpsr.2001.923672.
Full text"Author Index." In 2007 Workshop on High Performance Switching and Routing. IEEE, 2007. http://dx.doi.org/10.1109/hpsr.2007.4281273.
Full text"Author Index." In 2006 Workshop on High Performance Switching and Routing. IEEE, 2006. http://dx.doi.org/10.1109/hpsr.2006.1709746.
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