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Journal articles on the topic 'Sculling'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Madsen, Leslie J. "Sculling." Iowa Journal of Cultural Studies 2000, no. 19 (2000): 1. http://dx.doi.org/10.17077/2168-569x.1316.

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2

Huang, Lei, Zhaochun Li, Fei Xie, and Kai Feng. "Strapdown Sculling Velocity Algorithms Using Novel Input Combinations." Mathematical Problems in Engineering 2018 (October 28, 2018): 1–9. http://dx.doi.org/10.1155/2018/9823138.

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Sculling motion is a standard input to evaluate the performance of the velocity algorithm in a highly dynamic environment. Conventional sculling algorithms usually adopt incremental angle/specific force increments or angular rate/specific force as algorithm inputs. However modern inertial sensors have different output types now, which do not correspond to the inputs of those traditional algorithms. For example, some inertial sensors have the integrated angular rate (incremental angle)/specific force outputs or angular rate/specific force increments outputs. Hence the conventional sculling algorithms cannot be easily applied to these situations. A novel sculling algorithm using incremental angle/specific force inputs or angular rate/specific force increments inputs is developed in this paper. The advantage of the novel algorithm is that it can calculate the carrier velocity directly without converting the dimension of inertial sensor outputs values. Theoretical analysis, digital simulations, and a trial study are carried out to verify our algorithm. The results demonstrate that for corresponding types of strapdown inertial navigation systems (SINS) the novel sculling algorithm exhibits better performance than the conventional sculling velocity algorithms.
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3

Potze, W. "On Optimum Sculling Propulsion." Journal of Ship Research 30, no. 04 (December 1, 1986): 221–41. http://dx.doi.org/10.5957/jsr.1986.30.4.221.

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Using a semilinear and two-dimensional theory, the highest possible efficiency is considered for sculling propellers consisting of two wings, the interaction of which is taken into account. The force and pitching moment acting on each wing and the power needed to move the wings are determined. The influence of the variation of a number of parameters is calculated.
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4

Veelenturf, Callie A., and Winfried S. Peters. "Size-dependent locomotory performance creates a behaviorally mediated prey size refuge in the marine snail Olivella semistriata: a study in the natural habitat." Current Zoology 66, no. 1 (May 3, 2019): 57–62. http://dx.doi.org/10.1093/cz/zoz022.

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Abstract The effects of the variability of individual prey locomotory performance on the vulnerability to predation are poorly understood, partly because individual performance is difficult to determine in natural habitats. To gain insights into the role(s) of individual variation in predatory relationships, we study a convenient model system, the neotropical sandy beach gastropod Olivella semistriata and its main predator, the carnivorous snail Agaronia propatula. The largest size class of O. semistriata is known to be missing from A. propatula’s spectrum of subdued prey, although the predator regularly captures much larger individuals of other taxa. To resolve this conundrum, we analyzed predation attempts in the wild. While A. propatula attacked O. semistriata of all sizes, large prey specimens usually escaped by ‘sculling’, an accelerated, stepping mode of locomotion. Olivella semistriata performed sculling locomotion regardless of size, but sculling velocities determined in the natural environment increased strongly with size. Thus, growth in size as such does not establish a prey size refuge in which O. semistriata is safe from predation. Rather, a behaviorally mediated size refuge is created through the size-dependence of sculling performance. Taken together, this work presents a rare quantitative characterization in the natural habitat of the causal sequence from the size-dependence of individual performance, to the prey size-dependent outcome of predation attempts, to the size bias in the predator’s prey spectrum.
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5

Gomes, Lara Elena, Mônica de Oliveira Melo, Victor Wigner Tremea, Marcelo La Torre, Yumie Okuyama da Silva, Flávio de Souza Castro, and Jefferson Fagundes Loss. "Position of arm and forearm, and elbow flexion during performance of the sculling technique: Technical recommendation versus actual performance." Motriz: Revista de Educação Física 20, no. 1 (March 2014): 33–41. http://dx.doi.org/10.1590/s1980-65742014000100005.

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Sculling motion is a swimming technique executed in a vertical position with the head above the water's surface and, based on the technical recommendation, should be performed maintaining an elbow flexion angle of 90°, arms kept stationary while the forearms move. In order to verify if this recommendation is indeed realistic, the aim of this study was to describe the elbow flexion angle ant its angular velocity, linear speed and range of motion of the shoulder, elbow and wrist during the sculling motion. Data were calculated using three-dimensional kinematic process from underwater video images of ten athletes of synchronized swimming. The results indicate that the arm is relatively stationary and the forearm moves, which agrees with the technical recommendation. However, the elbow flexes and extends, which contradicts the technical recommendation. These findings should be considered when this action is practiced, especially in synchronized swimming, in which sculling motion is a fundamental technique.
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6

Lee, Hyo-Taek, and Yong-Jae Kim. "A Computational Fluid Dynamic Study on the Sculling Motion for Water Safety." Journal of Fisheries and Marine Sciences Education 24, no. 1 (February 29, 2012): 18–24. http://dx.doi.org/10.13000/jfmse.2012.24.1.018.

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7

Hofmann, P., T. Jürimäe, J. Jürimäe, P. Purge, J. Maestu, M. Wonisch, R. Pokan, and S. Duvillard. "HRTP, Prolonged Ergometer Exercise, and Single Sculling." International Journal of Sports Medicine 28, no. 11 (November 2007): 964–69. http://dx.doi.org/10.1055/s-2007-965074.

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8

Boland, Arthur L., and Timothy M. Hosea. "Rowing and Sculling and the Older Athlete." Clinics in Sports Medicine 10, no. 2 (April 1991): 245–56. http://dx.doi.org/10.1016/s0278-5919(20)30630-x.

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9

Li, Jie, Chen Jun Hu, Li Peng Hou, and Jun Liu. "Research on the SINS Algorithm Based on Spiral Vector." Key Engineering Materials 609-610 (April 2014): 1508–14. http://dx.doi.org/10.4028/www.scientific.net/kem.609-610.1508.

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Targeting at the independent compensation characteristics of cone motion effect and sculling motion effect in traditional SINS Algorithm, this article studies the SINS Algorithm based on spiral vector which enables the cone motion effect and sculling motion effect to compensate at the same time, so as to realize the high precision calculating of attitude Angle and velocity vector. This paper analyzes the mathematical relationships between spiral vector and position-attitude dual quaternion, and then deduces the spiral vector differential equation in detail, which leads to the SINS Algorithm orchestration based on the spiral vector. Finally, considering the real application environment, the actual tests have shown that under the same conditions the spiral vector algorithm of SINS is more precise than the traditional algorithm in high dynamic environment and that the high sub-sample precision is higher than the low sub-sample.
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10

Ignagni, Mario. "Optimal Sculling and Coning Algorithms for Analog-Sensor Systems." Journal of Guidance, Control, and Dynamics 35, no. 3 (May 2012): 851–60. http://dx.doi.org/10.2514/1.55540.

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11

Ignagni, Mario. "Optimal Sculling and Coning Algorithms for Analog-Sensor Systems." Journal of Guidance, Control, and Dynamics 36, no. 3 (May 2013): 903. http://dx.doi.org/10.2514/1.59733.

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12

Ripley, Stuart. "The Golden Age of Australian Professional Sculling or Skullduggery?" International Journal of the History of Sport 22, no. 5 (September 2005): 867–82. http://dx.doi.org/10.1080/09523360500143604.

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13

Lawton, Trent W., John B. Cronin, and Michael R. McGuigan. "Factors That Affect Selection of Elite Women’s Sculling Crews." International Journal of Sports Physiology and Performance 8, no. 1 (January 2013): 38–43. http://dx.doi.org/10.1123/ijspp.8.1.38.

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Purpose:There is no common theory on criteria to appropriately select crew rowers in pursuit of small performance gains. The purpose of this study was to establish whether anthropometry, rowing ergometry, or lower body strength were suitable criteria to identify differences between selected and nonselected sculling crews.Method:Twelve elite women performed a 2000-m ergometer time trial and a 5-repetition leg-press dynamometer test, were anthropometrically profiled, and participated in on-water national crew seat-racing trials. Log-transformed data were analyzed to compare percent (± SD) and standardized differences in group means (ES; ±90% confidence interval [CI]) between selected and nonselected oarswomen, with adjustments for body mass where appropriate.Results:Selected crew boats were 4.60% ± 0.02% faster and won by an average margin of 13.5 ± 0.7 s over 1500 m. There were no differences between crews on average in height, arm span, seated height, body mass, or 8-site skinfold sum (body fat). Difference in 2000-m ergometer times were also trivial (ES = 0.2, 90%CI = −0.6 to 1.1, P = .63); however, selected crews had moderately greater leg-press strength (ES = 1.1, 90%CI = 0.3−1.9, P = .03).Conclusion:Selected oarswomen with comparable anthropometry and 2000-m ergometer ability had greater lower body strength. Coaches of elite oarswomen might consider leg strength as part of crew-selection criteria, given acceptable on-water boatmanship and attainment of 2000-m ergometer benchmarks.
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14

IGNAGNI, MARIO B. "Duality of Optimal Strapdown Sculling and Coning Compensation Algorithms." Navigation 45, no. 2 (June 1998): 85–95. http://dx.doi.org/10.1002/j.2161-4296.1998.tb02373.x.

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15

Capelli, C., C. Donatelli, C. Moia, C. Valier, G. Rosa, and P. E. di Prampero. "Energy cost and efficiency of sculling a Venetian gondola." European Journal of Applied Physiology and Occupational Physiology 60, no. 3 (May 1990): 175–78. http://dx.doi.org/10.1007/bf00839154.

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16

Ducheanes, C. J., M. L. Riethmuller, A. C. Nicol, and J. P. Paul. "Kinematic comparison of on-water and specific ergometer sculling." Journal of Biomechanics 25, no. 7 (July 1992): 704. http://dx.doi.org/10.1016/0021-9290(92)90324-t.

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17

van Houwelingen, Josje, Sander Schreven, Jeroen B. J. Smeets, Herman J. H. Clercx, and Peter J. Beek. "Effective Propulsion in Swimming: Grasping the Hydrodynamics of Hand and Arm Movements." Journal of Applied Biomechanics 33, no. 1 (February 2017): 87–100. http://dx.doi.org/10.1123/jab.2016-0064.

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In this paper, a literature review is presented regarding the hydrodynamic effects of different hand and arm movements during swimming with the aim to identify lacunae in current methods and knowledge, and to distil practical guidelines for coaches and swimmers seeking to increase swimming speed. Experimental and numerical studies are discussed, examining the effects of hand orientation, thumb position, finger spread, sculling movements, and hand accelerations during swimming, as well as unsteady properties of vortices due to changes in hand orientation. Collectively, the findings indicate that swimming speed may be increased by avoiding excessive sculling movements and by spreading the fingers slightly. In addition, it appears that accelerating the hands rather than moving them at constant speed may be beneficial, and that (in front crawl swimming) the thumb should be abducted during entry, catch, and upsweep, and adducted during the pull phase. Further experimental and numerical research is required to confirm these suggestions and to elucidate their hydrodynamic underpinnings and identify optimal propulsion techniques. To this end, it is necessary that the dynamical motion and resulting unsteady effects are accounted for, and that flow visualization techniques, force measurements, and simulations are combined in studying those effects.
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18

MIWA, Takahiro, Eri KAMATA, Kazuo MATSUUCHI, Jun SAKAKIBARA, and Takeo NOMURA. "Flow visualization of sculling motion in human swimming using PIV." Transaction of the Visualization Society of Japan 31, no. 8 (2011): 33. http://dx.doi.org/10.3154/tvsj.31.33.

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19

Roscoe, Kelly M. "Equivalency Between Strapdown Inertial Navigation Coning and Sculling Integrals/Algorithms." Journal of Guidance, Control, and Dynamics 24, no. 2 (March 2001): 201–5. http://dx.doi.org/10.2514/2.4718.

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20

Gomes, Lara Elena, Vera Diogo, Flávio Antônio de Souza Castro, João Paulo Vilas-Boas, Ricardo J. Fernandes, and Pedro Figueiredo. "Biomechanical analyses of synchronised swimming standard and contra-standard sculling." Sports Biomechanics 18, no. 4 (January 16, 2018): 354–65. http://dx.doi.org/10.1080/14763141.2017.1409258.

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21

Wychowanski, M., G. Slugocki, G. Orzechowski, Z. Staniak, and D. Radomski. "Results of Single Sculling Technique Analysis Using 1D Mathematical Model." IFAC-PapersOnLine 51, no. 2 (2018): 879–83. http://dx.doi.org/10.1016/j.ifacol.2018.04.025.

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22

Huang, Lei, Fei Xie, and Kai Feng. "Optimal Sculling Velocity Algorithms for the Gyros With Angular Rate Output." IEEE Access 6 (2018): 66072–81. http://dx.doi.org/10.1109/access.2018.2878811.

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23

Zhang, Tong, Kang Chen, Wenxing Fu, Yunfeng Yu, and Jie Yan. "Optimal two-iteration sculling compensation mathematical framework for SINS velocity updating." Journal of Systems Engineering and Electronics 25, no. 6 (December 2014): 1065–71. http://dx.doi.org/10.1109/jsee.2014.00122.

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24

Lu, Hongyu, Yelong Zheng, Wei Yin, Dashuai Tao, Noshir Pesika, Yonggang Meng, and Yu Tian. "Propulsion Principles of Water Striders in Sculling Forward through Shadow Method." Journal of Bionic Engineering 15, no. 3 (May 2018): 516–25. http://dx.doi.org/10.1007/s42235-018-0042-8.

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25

Jürimäe, Jaak, Peter Hofmann, Toivo Jürimäe, Reet Palm, Jarek Mäestu, Priit Purge, Karl Sudi, Klaus Rom, and Serge P. von Duvillard. "Plasma ghrelin responses to acute sculling exercises in elite male rowers." European Journal of Applied Physiology 99, no. 5 (December 22, 2006): 467–74. http://dx.doi.org/10.1007/s00421-006-0370-y.

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26

Potze, W. "On Optimum Large-Amplitude Sculling Propulsion by Wings of Finite Span." Journal of Ship Research 34, no. 01 (March 1, 1990): 14–28. http://dx.doi.org/10.5957/jsr.1990.34.1.14.

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The efficiency of sculling propellers consisting of one or two wings is considered by means of a linearized theory. The thickness and finite span of the wings and their interaction are taken into account. The influence of the viscosity of water on the efficiency is investigated. For a prescribed mean value of thrust and amplitude of the motion of the wings the optimum frequency is determined such that the efficiency is maximum. Numerical results are given in the case that the wings move with "optimum" angles of incidence.
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27

Sijtsma, P., and J. A. Sparenberg. "On Useful Shapes of Rigid Wings for Large-Amplitude Sculling Propulsion." Journal of Ship Research 36, no. 03 (September 1, 1992): 223–32. http://dx.doi.org/10.5957/jsr.1992.36.3.223.

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If a wing of finite span moves through an incompressible and inviscid fluid, it will in general experience a resistance force, or equivalently, it leaves vorticity behind. We wonder if there are shapes of wings, which can move in a nontrivial way without leaving vorticity behind? We consider rigid, flat wings, hence without thickness and without curvature. Then we find, by numerical means, that wing shapes exist which can move tangentially to an arbitrary cylindrical surface without leaving vorticity behind. In fact, when we prescribe a chordlength distribution along the span, a unique wing shape with this property seems to exist. Such a resistanceless motion can be used as a base motion in the theory of sculling propulsion.
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28

Lee, Hyo-Taek, and Yong-Jae Kim. "A Kinematic Analysis of Sculling Motion for Prevent Water Safety Accident." Journal of Sport and Leisure Studies 58 (November 30, 2014): 881–88. http://dx.doi.org/10.51979/kssls.2014.11.58.881.

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29

Shen, Yang, Pengjiang Wang, Weixiong Zheng, Xiaodong Ji, Hai Jiang, and Miao Wu. "Error Compensation of Strapdown Inertial Navigation System for the Boom-Type Roadheader under Complex Vibration." Axioms 10, no. 3 (September 14, 2021): 224. http://dx.doi.org/10.3390/axioms10030224.

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The strapdown inertial navigation system can provide the navigation information for the boom-type roadheader in the unmanned roadway tunneling working face of the coal mine. However, the complex vibration caused by the cutting process of the boom-type roadheader may result in significant errors of its attitude and position measured by the strapdown inertial navigation system. Thus, an error compensation method based on the vibration characteristics of the roadheader is proposed in this paper. In order to further analyze the angular and linear vibration of the fuselage, as the main vibration sources of the roadheader, the dynamic model of the roadheader is formulated based on the cutting load. Following that, multiple sub-samples compensation algorithms for the coning and sculling errors are constructed. Simulation experiments were carried out under different subsample compensation algorithms, different coal and rock characteristics, and different types of roadheader. The experimental results show that the proposed error compensation algorithm can eliminate the effect of the angular and linear vibration on the measurement accuracy. The coning and sculling error of the strapdown inertial navigation system can reduce at least 52.21% and 42.89%, respectively. Finally, a strapdown inertial navigation error compensation accuracy experiment system is built, and the validity and superiority of the method proposed in this paper are verified through calculation and analysis of the data collected on the actual tunneling work face.
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30

Savage, Paul G. "Strapdown Sculling Algorithm Design for Sensor Dynamic Amplitude And Phase-Shift Error." Journal of Guidance, Control, and Dynamics 35, no. 6 (November 2012): 1718–29. http://dx.doi.org/10.2514/1.57140.

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31

Jurimāe, J., T. Jurimāe, and P. Purge. "Plasma testosterone and cortisol responses to prolonged sculling in male competitive rowers." Journal of Sports Sciences 19, no. 11 (January 2001): 893–98. http://dx.doi.org/10.1080/026404101753113840.

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32

Rouard, A. H., R. P. Billat, V. Deschodt, and J. P. Clarys. "Muscular Activations During Repetitions of Sculling Movements up to Exhaustion in Swimming." Archives of Physiology and Biochemistry 105, no. 7 (January 1997): 655–62. http://dx.doi.org/10.1076/apab.105.7.655.11382.

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33

SOLOVIEV, ANDREY, and FRANK VAN GRAAS. "Batch-Processing of Inertial Measurements for Mitigation of Sculling and Commutation Errors." Navigation 54, no. 4 (December 2007): 265–76. http://dx.doi.org/10.1002/j.2161-4296.2007.tb00408.x.

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34

Lee, Hyo-Taek, and Yong-Jae Kim. "Effects of Palm Angles in Sculling on the Variation of Underwater Weighting." Journal of Fisheries and Marine Sciences Education 25, no. 2 (April 30, 2013): 405–9. http://dx.doi.org/10.13000/jfmse.2013.25.2.405.

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35

JÜRIMÄE, JAAK, RAUL RÄMSON, JAREK MÄESTU, PRIIT PURGE, TOIVO JÜRIMÄE, PAUL J. ARCIERO, and SERGE P. VON DUVILLARD. "Plasma Visfatin and Ghrelin Response to Prolonged Sculling in Competitive Male Rowers." Medicine & Science in Sports & Exercise 41, no. 1 (January 2009): 137–43. http://dx.doi.org/10.1249/mss.0b013e31818313e6.

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36

Jiang, Pan, Ya Zhang, Qiang Hao, Shiwei Fan, and Dingjie Xu. "A Method Converting Cone Into Sculling Algorithm for Strapdown Inertial Navigation System." IEEE Access 7 (2019): 140430–37. http://dx.doi.org/10.1109/access.2019.2942638.

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37

MIWA, Takahiro, Hiroshi ICHIKAWA, Kazuo MATSUUCHI, Jun SAKAKIBARA, and Hideki TAKAGI. "A-41 Visualization of flow fields around swimmer's hand during sculling motion." Proceedings of Joint Symposium: Symposium on Sports Engineering, Symposium on Human Dynamics 2009 (2009): 208–13. http://dx.doi.org/10.1299/jsmesports.2009.0_208.

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38

Masilionis, Mykolas, Einius Petkus, Juozas Skernevičius, Kazys Milašius, and Algirdas Raslanas. "Comparative Characteristics of Lithuanian Elite Double Sculling Rowers’ Two Yearly Cycles of Preparation." Sporto mokslas / Sport Science 3, no. 81 (September 28, 2015): 31–36. http://dx.doi.org/10.15823/sm.2015.16.

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39

Chen, Jian Feng, Xi Yuan Chen, and Xue Fen Zhu. "Screw Algorithm Optimized with Instantaneous Signals." Applied Mechanics and Materials 229-231 (November 2012): 1671–74. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1671.

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Recent dramatic progress in strapdown inertial navigation system (SINS) algorithm is the design of SINS principle based on screw algorithm, utilizing dual quaternion. In this paper, the screw algorithm consisting of angular rate and specific force is optimized under a special screw motion. The special screw motion is derived from classical screw motion and can be taken as a complicated sculling motion including classical coning motion. Subsequently, the coefficients in the multi-sample screw algorithms and the corresponding algorithm drifts are determined by minimizing the error on direct component. The simulation results of attitude and velocity errors agree with the optimization goals, except when the number of subinterval is greater than 2. An explanation of this phenomenon is delivered.
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40

Savage, Paul G. "Erratum to, Strapdown Sculling Algorithm Design for Sensor Dynamic Amplitude and Phase Shift Error." Journal of Guidance, Control, and Dynamics 36, no. 1 (January 2013): 343. http://dx.doi.org/10.2514/1.61098.

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41

Takagi, Hideki, Shohei Shimada, Takahiro Miwa, Shigetada Kudo, Ross Sanders, and Kazuo Matsuuchi. "Unsteady hydrodynamic forces acting on a hand and its flow field during sculling motion." Human Movement Science 38 (December 2014): 133–42. http://dx.doi.org/10.1016/j.humov.2014.09.003.

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42

Wang, Lingling, Li Fu, and Ming Xin. "Sculling Compensation Algorithm for SINS Based on Two-Time Scale Perturbation Model of Inertial Measurements." Sensors 18, no. 1 (January 18, 2018): 282. http://dx.doi.org/10.3390/s18010282.

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43

Kang, Chul Woo, Nam Ik Cho, and Chan Gook Park. "Approach to direct coning/sculling error compensation based on the sinusoidal modelling of IMU signal." IET Radar, Sonar & Navigation 7, no. 5 (June 2013): 527–34. http://dx.doi.org/10.1049/iet-rsn.2012.0094.

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44

Jürimäe, J., P. Hofmann, T. Jürimäe, J. Mäestu, P. Purge, M. Wonisch, R. Pokan, and S. P. von Duvillard. "Plasma Adiponectin Response to Sculling Exercise at Individual Anaerobic Threshold in College Level Male Rowers." International Journal of Sports Medicine 27, no. 4 (April 2006): 272–77. http://dx.doi.org/10.1055/s-2005-865661.

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45

Lauer, Jessy, Annie Hélène Rouard, and João Paulo Vilas-Boas. "Modulation of upper limb joint work and power during sculling while ballasted with varying loads." Journal of Experimental Biology 220, no. 9 (February 22, 2017): 1729–36. http://dx.doi.org/10.1242/jeb.154781.

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46

Warmenhoven, J., R. Smith, C. Draper, A. J. Harrison, N. Bargary, and S. Cobley. "Force coordination strategies in on-water single sculling: Are asymmetries related to better rowing performance?" Scandinavian Journal of Medicine & Science in Sports 28, no. 4 (February 14, 2018): 1379–88. http://dx.doi.org/10.1111/sms.13031.

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47

Jürimäe, Jaak, Priit Purge, and Toivo Jürimäe. "Adiponectin and stress hormone responses to maximal sculling after volume-extended training season in elite rowers." Metabolism 55, no. 1 (January 2006): 13–19. http://dx.doi.org/10.1016/j.metabol.2005.06.020.

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48

Diogo, V., S. Soares, C. Tourino, C. Carmo, I. Aleixo, P. Morouco, P. Figueiredo, J. P. Vilas-Boas, and R. J. Fernandes. "Quantification of Maximal Force Produced in Standard and Contra-Standard Sculling in Synchronized Swimming. A Pilot Study." Open Sports Sciences Journal 3, no. 1 (March 7, 2014): 81–83. http://dx.doi.org/10.2174/1875399x010030100081.

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49

Chen, Kai, Fuqiang Shen, Jun Zhou, and Xiaofeng Wu. "SINS/BDS Integrated Navigation for Hypersonic Boost-Glide Vehicles in the Launch-Centered Inertial Frame." Mathematical Problems in Engineering 2020 (November 12, 2020): 1–16. http://dx.doi.org/10.1155/2020/7503272.

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Abstract:
According to the trajectory specialty of hypersonic boost-glide vehicles, a strapdown inertial navigation system/BeiDou navigation satellite system (SINS/BDS) algorithm based on the launch-centered inertial (LCI) frame for hypersonic vehicles is proposed. First, the related frame system, especially the launch earth-centered inertial (LECI) frame, and the SINS mechanization in the LCI frame are introduced. Second, SINS discrete updating algorithms in the LCI frame for the compensation of coning, sculling, and scrolling effects are deduced in the attitude, velocity, and position updating algorithms, respectively. Subsequently, the Kalman filter of the SINS/BDS integrated navigation in the LCI frame is obtained. The method of converting BDS receiver position and velocity from the Earth-centered Earth-fixed (ECEF) frame to the LCI frame is deduced through the LECI frame. Finally, taking the typical hypersonic boost-glide vehicles as the object, the SINS/BDS algorithm vehicle field test and hardware-in-the-loop simulation are performed.
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Wilson, Rob. "Sculling to the Over-Soul: Louis Simpson, American Transcendentalism, and Thomas Eakins's "Max Schmitt in a Single Scull"." American Quarterly 39, no. 3 (1987): 410. http://dx.doi.org/10.2307/2712886.

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