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Journal articles on the topic 'Multi-curve'

Author: Grafiati

Published: 10 September 2021

Last updated: 29 July 2025

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1

Shen, Laixin, Fan Yang, Xuefei Wang, and Paul Comerford. "Functional Curve Fitting Algorithm via Multi-Heterogeneous Data Curve." IEEE Access 5 (2017): 470–79. http://dx.doi.org/10.1109/access.2016.2643679.

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2

Zeng, Dan, Yi-min Cheng, Shi-ming Ge, and Zhi-xiang Chen. "Capturing Eye Multi-Curve Spectrum." Journal of Electronics & Information Technology 30, no. 5 (2011): 1122–26. http://dx.doi.org/10.3724/sp.j.1146.2006.01666.

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3

NGUYEN, THE ANH, and FRANK THOMAS SEIFRIED. "THE MULTI-CURVE POTENTIAL MODEL." International Journal of Theoretical and Applied Finance 18, no. 07 (2015): 1550049. http://dx.doi.org/10.1142/s0219024915500491.

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We develop a general class of multi-curve potential models for post-crisis interest rates. Our model features positive stochastic basis spreads, positive term structures, and analytic pricing formulae for interest rate derivatives. Making a quanto interpretation of LIBOR lending transactions, we use a multi-currency analogy to model multiple term structures and formulate a general, tractable model of multiple term structures. As a special case of our approach, we obtain a rational lognormal model that extends the original Flesaker–Hughston (1996) rational lognormal model to a multi-curve setti

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4

Kumanomido, Takashi, Kazutaka Kamiya, Masahide Takahashi, et al. "Clinical evaluation of flat peripheral curve design with aspherical-curve and multi-curve hard contact lenses for keratoconus." PLOS ONE 17, no. 2 (2022): e0263506. http://dx.doi.org/10.1371/journal.pone.0263506.

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Aspherical- and multi-curve rigid gas-permeable hard contact lenses (HCLs) have a flattened curve in the peripheral zone and are mostly used for patients with keratoconus who cannot wear glasses, soft contact lenses, or spherical HCLs. In this retrospective study, a total of 95 eyes of 77 patients who used aspherical- or multi-curve HCLs (mean age: 40.0 ± 11.0 years) were evaluated. This study examined the types of aspherical- and multi-curve HCLs, best-corrected visual acuity (BCVA) values before and after wearing HCLs, the association with the Amsler-Krumeich classification, duration of wear

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5

Sabelli, Chiara, Michele Pioppi, Luca Sitzia, and Giacomo Bormetti. "Multi-curve HJM modelling for risk management." Quantitative Finance 18, no. 4 (2017): 563–90. http://dx.doi.org/10.1080/14697688.2017.1355104.

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6

Ardovini, A., L. Cinque, and E. Sangineto. "Identifying elephant photos by multi-curve matching." Pattern Recognition 41, no. 6 (2008): 1867–77. http://dx.doi.org/10.1016/j.patcog.2007.11.010.

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7

Yuan, Jingrong, Hao Wu, Lidong Xie, Lei Zhang, and Jichen Xing. "Learning multi-color curve for image harmonization." Engineering Applications of Artificial Intelligence 146 (April 2025): 110277. https://doi.org/10.1016/j.engappai.2025.110277.

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8

MAO, Wentao, Shengjie ZHAO, and Junna ZHANG. "Multi-input-multi-output support vector machine based on principal curve." Journal of Computer Applications 33, no. 5 (2013): 1281–84. http://dx.doi.org/10.3724/sp.j.1087.2013.01281.

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9

Chakraborty, Aniruddha. "Multi-channel curve crossing problems: analytically solvable model." Molecular Physics 107, no. 23-24 (2009): 2459–65. http://dx.doi.org/10.1080/00268970903347806.

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10

Morini, Massimo. "Interest Rate Modelling in the Multi-curve Framework." Quantitative Finance 16, no. 2 (2016): 181–82. http://dx.doi.org/10.1080/14697688.2015.1101923.

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11

Taira, A. V., D. Swedler, L. Young, T. Arbuckle, W. Wang, and J. Kim. "Learning Curve in Multi-Catheter Partial Breast Irradiation." International Journal of Radiation Oncology*Biology*Physics 69, no. 3 (2007): S230. http://dx.doi.org/10.1016/j.ijrobp.2007.07.1215.

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12

Gan, Feng, and Philip K. Hopke. "New convergence criterion for multi-variable curve resolution." Analytica Chimica Acta 495, no. 1-2 (2003): 195–203. http://dx.doi.org/10.1016/j.aca.2003.08.019.

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13

Heuven, Henri, and Luc Janss. "Bayesian multi-QTL mapping for growth curve parameters." BMC Proceedings 4, Suppl 1 (2010): S12. http://dx.doi.org/10.1186/1753-6561-4-s1-s12.

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14

Kaprin, A. D., A. A. Kostin, P. V. Nikiforov, et al. "Pancreatoduodenectomy: learning curve within single multi-field center." Khirurgiya. Zhurnal im. N.I. Pirogova, no. 4 (2018): 17. http://dx.doi.org/10.17116/hirurgia2018417-23.

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15

YOSHIMURA, Takuya, and Akio NAGAMATSU. "Modal parameter estimation with multi-reference curve fitting." JSME international journal 30, no. 261 (1987): 476–81. http://dx.doi.org/10.1299/jsme1987.30.476.

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16

De Souza, Camila P. E., Nancy E. Heckman, and Fan Xu. "Switching nonparametric regression models for multi-curve data." Canadian Journal of Statistics 45, no. 4 (2017): 442–60. http://dx.doi.org/10.1002/cjs.11331.

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17

Liu, Hong Jun, and Shu Ya Zhi. "Curve CAM Research in Multi Axis NC Machining Technology." Applied Mechanics and Materials 220-223 (November 2012): 418–21. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.418.

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Using curve CAM space meshing work principle established its physical model. The mathematics model of the CAM work surface is deduced through mathematical analysis. Discussed the processing method and principle is based on the meshing forming and freedom forming machining methods, studied the curve CAM NC-processing technology using general four axis and five axis machine tools. This process has been successfully used for axis CNC milling to machining CAM surface. For continuous dividing space curve CAM CAD/CAPP / CAM system research is laying a foundation.

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18

D., Sudha Devi, Thilagavathy K., and Sai Krishnan Preethi. "AN EFFICIENT AND SECURE DIGITAL MULTISIGNATURE PROTOCOL BASED ON ECC." International Journal on Cryptography and Information Security (IJCIS) 5, no. 3/4 (2015): 15–21. https://doi.org/10.5281/zenodo.1246948.

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ABSTRACT Digital Signatures play a crucial role today as it ensures authentication, integrity and non-repudiation of a digital message. Many researches are ongoing based on elliptic curve cryptography due to its significant high performance. In this paper we propose an efficient and secure digital multi-signature protocol based on elliptic curve cryptography. The proposed protocol is efficient with reduced time complexity as compared to Chen et al.[14], Sahu and Sharma [18] and Chande and Thakur’s [20] digital multi-signature schemes. Also the proposed protocol overcomes the insider atta

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19

Chande, Manoj Kumar, and Balwant Singh Thakur. "Proxy-Protected Proxy Multi-Signature Based on Elliptic Curve." International Journal of Informatics and Communication Technology (IJ-ICT) 3, no. 1 (2014): 67. http://dx.doi.org/10.11591/ijict.v3i1.pp67-72.

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In this work, we propose a proxy-protected proxy multi-signature scheme based on EllipticCurve Digital Signature Algorithm (ECDSA), which aims at providing data authenticity,integrity, and non-repudiation to satisfy the basic properties of partial delegation proxy signaturedescribed by Mambo et al. as well as strong proxy signature properties defined byLee et. al. The proposed signing/verifying scheme combines the advantages of proxyprotectedsignature and multi-signature scheme. The security of the proposed schemes isbased on the difficulty of breaking the elliptic curve discrete logarithm pro

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20

HESS, MARKUS. "AN ARITHMETIC PURE-JUMP MULTI-CURVE INTEREST RATE MODEL." International Journal of Theoretical and Applied Finance 22, no. 08 (2019): 1950042. http://dx.doi.org/10.1142/s0219024919500420.

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We propose a multi-curve model involving interest rates and spreads which are modeled by arithmetic martingale processes being larger than some arbitrarily chosen constant. Under our mean-reverting pure-jump approach, we derive tractable martingale representations for the OIS rate, the spread, as well as the LIBOR rate, and provide analytical caplet price formulae. In a second part, we introduce an extended jump-diffusion version of our model and investigate hedging and the computation of Greeks under this new specification. As a by-product, we infer the related arithmetic pure-jump single-cur

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21

Wang, Ziming, Zexi Yang, Xiuzhen Wang, Qiang Yue, Zhendong Xia, and Hong Xiao. "Residence Time Distribution (RTD) Applications in Continuous Casting Tundish: A Review and New Perspectives." Metals 12, no. 8 (2022): 1366. http://dx.doi.org/10.3390/met12081366.

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The continuous casting tundish is a very important metallurgical reactor in continuous casting production. The flow characteristics of tundishes are usually evaluated by residence time distribution (RTD) curves. At present, the analysis model of RTD curves still has limitations. In this study, we reviewed RTD curve analysis models of the single flow and multi-flow tundish. We compared the mixing model and modified combination model for RTD curves of single flow tundish. At the same time, multi-strand tundish flow characteristics analysis models for RTD curves were analyzed. Based on the RTD cu

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22

Pacheco, Gabriel V., Luciano C. A. Pimenta, and Guilherme V. Raffo. "Distributed Parameterized Predictive Control for Multi-robot Curve Tracking." IFAC-PapersOnLine 53, no. 2 (2020): 3144–49. http://dx.doi.org/10.1016/j.ifacol.2020.12.1054.

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23

LIU, Duo, and Yi-Qi DAI. "A New Algorithm of Elliptic Curve Multi-Scalar Multiplication." Chinese Journal of Computers 31, no. 7 (2009): 1131–37. http://dx.doi.org/10.3724/sp.j.1016.2008.01131.

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24

Sung, Mankyu, and Gyu Sang Choi. "Space-Time Warp Curve for Synthesizing Multi-character Motions." ETRI Journal 39, no. 4 (2017): 493–501. http://dx.doi.org/10.4218/etrij.17.0116.0669.

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25

MIAO, Sha, and Xiao-wei ZHENG. "Multi-core parallel algorithm for cubic spline curve fitting." Journal of Computer Applications 30, no. 12 (2011): 3194–96. http://dx.doi.org/10.3724/sp.j.1087.2010.03194.

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26

Li, Lifu, and Yanfeng Qiu. "Research on multi-acceleration curve optimization for electric vehicle." IOP Conference Series: Materials Science and Engineering 394 (August 8, 2018): 042073. http://dx.doi.org/10.1088/1757-899x/394/4/042073.

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27

Benmouyal, G. "Design of a digital multi-curve time-overcurrent relay." IEEE Transactions on Power Delivery 5, no. 4 (1990): 1725–31. http://dx.doi.org/10.1109/61.103667.

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28

Benmouyal, G. "Design of a digital multi-curve time-overcurrent relay." IEEE Transactions on Power Delivery 6, no. 2 (1991): 656–65. http://dx.doi.org/10.1109/61.131124.

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29

Djuranovic-Milicic, Nada. "A multi-step curve search algorithm in nonlinear optimization." Yugoslav Journal of Operations Research 18, no. 1 (2008): 47–52. http://dx.doi.org/10.2298/yjor0801047d.

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In this paper a multi-step algorithm for LC1 unconstrained optimization problems is presented. This method uses previous multi-step iterative information and curve search to generate new iterative points. A convergence proof is given, as well as an estimate of the rate of convergence.

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30

Crépey, Stéphane, Andrea Macrina, Tuyet Mai Nguyen, and David Skovmand. "Rational multi-curve models with counterparty-risk valuation adjustments." Quantitative Finance 16, no. 6 (2015): 847–66. http://dx.doi.org/10.1080/14697688.2015.1095348.

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31

Bartoli, Daniele, Maria Montanucci, and Giovanni Zini. "Multi point AG codes on the GK maximal curve." Designs, Codes and Cryptography 86, no. 1 (2017): 161–77. http://dx.doi.org/10.1007/s10623-017-0333-9.

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32

Ranga Rao, Md. "Multi User Detector in CDMA Using Elliptic Curve Cryptography." International Journal of VLSI Design & Communication Systems 3, no. 1 (2012): 51–67. http://dx.doi.org/10.5121/vlsic.2012.3105.

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33

., Chen Yong. "DISCUSSION ON MULTI RESOLUTION WAVELET SMOOTHING OF FREE CURVE." International Journal of Research in Engineering and Technology 07, no. 10 (2018): 1–4. http://dx.doi.org/10.15623/ijret.2018.0710001.

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34

Zheng, Hong-Chan, Shu-Pei Huang, Feng Guo, and Guo-Hua Peng. "Designing multi-parameter curve subdivision schemes with high continuity." Applied Mathematics and Computation 243 (September 2014): 197–208. http://dx.doi.org/10.1016/j.amc.2014.05.113.

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35

Ray, Sangram, G. P. Biswas, and Mou Dasgupta. "Secure Multi-Purpose Mobile-Banking Using Elliptic Curve Cryptography." Wireless Personal Communications 90, no. 3 (2016): 1331–54. http://dx.doi.org/10.1007/s11277-016-3393-7.

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36

Liu, Zhan Jun. "The Diagnosis Research of Cover Sheet Spring Recover on the Compensate Fuzzy Nerve Net of Multi-Input Defer." Applied Mechanics and Materials 599-601 (August 2014): 1883–86. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1883.

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The model of compensate fuzzy nerve net on multi-input defer is built. The net frame and studied algorithm of compensate fuzzy nerve net on multi-input defer is introduced .It is used that practical use on multi-input defer and higher containing mistake of compensate fuzzy nerve net, and it is given that the building model error tortuous surface, curve of net input and curve of all error number curve, which is combined with goal example. The result is showed in spring recover of cover sheet that the all error of compensate fuzzy nerve net on multi-input defer is reduced by 7.5 percent, and dia

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37

Gusel, Leo. "Multi Regression Analysis of Flow Curve Obtained by Torsion Test." Advanced Materials Research 856 (December 2013): 159–63. http://dx.doi.org/10.4028/www.scientific.net/amr.856.159.

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This paper presents determination of flow curve of steel by using multi regression analysis based on only few experimental points of torsion test. It is necessary to know the flow curve of the formed metal and the best way to obtain one are different experiments such as tensile, upsetting or torsion tests. In the paper torsion test was used for obtaining the flow curve. In torsion test a cylindrical specimen is twisted by torque acting around its axis. Experimental data of torsion test were processed by determination of statistical characteristic of experimental results.

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38

Yu, Yang, and Sanghwan Lee. "Efficient Multi-UAV Path Planning for Collaborative Area Search Operations." Applied Sciences 13, no. 15 (2023): 8728. http://dx.doi.org/10.3390/app13158728.

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Efficient UAV path-planning algorithms significantly improve inspection efficiency and reduce costs. However, due to the limitation of battery capacity, the endurance of existing UAVs is limited, making it difficult for them to directly undertake information collection, cruising, and inspection tasks over large work areas. This paper considers the problem of path allocation for multiple UAVs to minimize work time and reports research on multi-UAV (unmanned aerial vehicle) multi-task long-duration operation path planning. We propose a multi-UAV collaborative search algorithm based on the greedy

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39

Chen, Junfu, Zhiping Guan, Pinkui Ma, Zhigang Li, and Dan Gao. "Experimental extrapolation of hardening curve for cylindrical specimens via pre-torsion tension tests." Journal of Strain Analysis for Engineering Design 55, no. 1-2 (2019): 20–30. http://dx.doi.org/10.1177/0309324719887863.

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The hardening curve for cylindrical specimens determined by conventional uniaxial tension tests generally corresponds to a relatively narrow strain range due to the occurrence of necking. To achieve the hardening curve within a large strain range, in this study, the multi-specimen tension tests with pre-torsion are developed through extrapolating the hardening curve from the stress–strain data of cylindrical specimens with various magnitudes of pre-torsion strains. The calculation of pre-strain of twisted specimen needs to be addressed for the multi-specimen tension tests. The three calculatio

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40

Yu, Chengkang, Guangliang Han, Mengyang Pan, Xiaotian Wu, and Anping Deng. "Zero-TCE: Zero Reference Tri-Curve Enhancement for Low-Light Images." Applied Sciences 15, no. 2 (2025): 701. https://doi.org/10.3390/app15020701.

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Addressing the common issues of low brightness, poor contrast, and blurred details in images captured under conditions such as night, backlight, and adverse weather, we propose a zero-reference dual-path network based on multi-scale depth curve estimation for low-light image enhancement. Utilizing a no-reference loss function, the enhancement of low-light images is converted into depth curve estimation, with three curves fitted to enhance the dark details of the image: a brightness adjustment curve (LE-curve), a contrast enhancement curve (CE-curve), and a multi-scale feature fusion curve (MF-

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41

Wang, Xiao-Feng, and De-Shuang Huang. "A Novel Multi-Layer Level Set Method for Image Segmentation." JUCS - Journal of Universal Computer Science 14, no. (14) (2008): 2428–52. https://doi.org/10.3217/jucs-014-14-2427.

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In this paper, a new multi-layer level set method is proposed for multi-phase image segmentation. The proposed method is based on the conception of image layer and improved numerical solution of bimodal Chan-Vese model. One level set function is employed for curve evolution with a hierarchical form in sequential image layers. In addition, new initialization method and more efficient computational method for signed distance function are introduced. Moreover, the evolving curve can automatically stop on true boundaries in single image layer according to a termination criterion which is based on

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42

Wang, Li Hua, An Ning Huang, and Guang Wei Liu. "Analysis on Curve Negotiation Ability of the Rail Vehicle Based on SIMPACK." Advanced Materials Research 721 (July 2013): 551–55. http://dx.doi.org/10.4028/www.scientific.net/amr.721.551.

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The curve negotiation ability and lateral stability are the important and contradictory indicators when evaluating the dynamic performance of the rail vehicle. And in order to study the stability of the rail vehicle, its curve negotiation ability will be studied firstly. In this paper, the whole multi-body dynamic model of the rail vehicle was proposed based on the theory of multi-body dynamics in the software of Simpack. And the lateral force, derailment and overturning coefficient of the rail vehicle when it passed through a specific curve track with specific speed. Then the curve negotiatio

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43

Xia, Zhen, Hai Jiao Gao, and Xiu Hua Zhang. "An Effective Multi-Feature Extraction Method for Manually Plotted Well-Log Curve Line." Applied Mechanics and Materials 511-512 (February 2014): 452–56. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.452.

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An effective multi-feature extraction method for well-log curve line plotted manually. Several log curve line features are used to extract the well log curve information in the proposed method: gray value similarity feature, connected region Length feature, projection feature and distance and angular feature. The experimental results show the good effect of the method for the well log curve information extraction.

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44

Pu, Yasong, Yaoyao Shi, Xiaojun Lin, and Jian Guo. "Interpolating Industrial Robot Orientation with Hermite Spline Curve Based on Logarithmic Quaternion." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, no. 6 (2019): 1165–73. http://dx.doi.org/10.1051/jnwpu/20193761165.

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Smooth orientation planning has an important influence on the working quality and service life as for industrial robot. Based on the logarithmic quaternion, a compact method to map a spline curve from Cartesian space to quaternion space is proposed, and consequently the multi-orientation smooth interpolation of quaternion is realized. Combining with the relevant example case, the detailed method and steps of multi-orientation interpolation are introduced for mapping Hermite spline curve into quaternion space, and the validity of the principle is verified by using the example case. The present

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45

Kim, Jin-Young, Jin-Guk Kim, Jae Chul Lee, and Hyun-Han Kwon. "A development of rating-curve using Bayesian Multi-Segmented model." Journal of Korea Water Resources Association 49, no. 3 (2016): 253–62. http://dx.doi.org/10.3741/jkwra.2016.49.3.253.

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46

Haque, Musad, Amir Rahmani, Magnus Egerstedt, and Anthony Yezzi. "Efficient Foraging Strategies in Multi-Agent Systems Through Curve Evolutions." IEEE Transactions on Automatic Control 59, no. 4 (2014): 1036–41. http://dx.doi.org/10.1109/tac.2013.2281877.

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47

Gal, Nir-Cohen, Arad Boaz, and Ben-Shahar Ohad. "Multi-inducer grouping for curve completion: Perceptual and computational exploration." Journal of Vision 17, no. 9 (2017): 8. http://dx.doi.org/10.1167/17.9.8.

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48

Wang, Xianghai, Lingling Fang, and Lulu Cheng. "Multi-Object Segmentation Based on Region Division and Curve Evolving." Journal of Computational and Theoretical Nanoscience 10, no. 11 (2013): 2576–82. http://dx.doi.org/10.1166/jctn.2013.3250.

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49

Motlagh, O., S. H. Tang, M. N. Maslan, Fairul Azni Jafar, and Maslita A. Aziz. "A novel graph computation technique for multi-dimensional curve fitting." Connection Science 25, no. 2-3 (2013): 129–38. http://dx.doi.org/10.1080/09540091.2013.851173.

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50

Shen, Hailin, Bjørn Grung, Olav M. Kvalheim, and Ingvar Eide. "Automated curve resolution applied to data from multi-detection instruments." Analytica Chimica Acta 446, no. 1-2 (2001): 311–26. http://dx.doi.org/10.1016/s0003-2670(01)01268-5.

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