Relevant bibliographies by topics / Degree of freedom

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Degree of freedom'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 January 2023

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Journal articles on the topic "Degree of freedom"

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Kumar, Arun V. Rejus, and A. Sagai Francis Britto. "Robot Controlled Six Degree Freedom Camera." International Journal of Psychosocial Rehabilitation 23, no. 4 (July 20, 2019): 243–53. http://dx.doi.org/10.37200/ijpr/v23i4/pr190183.

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Gorodetsky, Alexander, Maryna Romashkina, and Bogdan Pysarevskiy. "SIXTH DEGREE OF FREEDOM." International Journal for Computational Civil and Structural Engineering 16, no. 2 (June 26, 2020): 39–49. http://dx.doi.org/10.22337/2587-9618-2020-16-2-39-49.

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The article describes new types of finite elements that allow you to take into account all six degrees of freedom of the shell. In order to compose the finite elements, the Allman functional with a rotational degree of freedom is used. The use of finite elements is associated with a number of restrictions that are considered in the article.
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Rajendra, Shejole Jagruti. "Comparison between One Degree of Freedom and Two Degree of Freedom of PID Controller." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (May 31, 2019): 809–11. http://dx.doi.org/10.22214/ijraset.2019.5136.

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Zhang, Ziwei, and Guoying Meng. "Design and analysis of a six degrees of freedom serial–parallel robotic mechanism with multi-degree of freedom legs." International Journal of Advanced Robotic Systems 15, no. 6 (November 1, 2018): 172988141881264. http://dx.doi.org/10.1177/1729881418812643.

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A novel mobile serial–parallel mechanism with legs for in-pipe use is proposed. The mobile robotic mechanism is composed of two identical three-universal joint–prismatic joint–universal joint parallel mechanisms connected in series and two gripping modules. The proposed parallel mechanism has two rotational freedoms and one translational freedom. In addition, the parallel mechanism can achieve continuous and equivalent rotation. The singularities of the parallel mechanism are analyzed. The overall serial–parallel mechanism has six degrees of freedom, and each gripping module has four degrees of freedom. Each parallel mechanism in the waist module is driven by three servo-electric cylinders and each leg mechanism in the gripping modules is controlled by a linear actuator. The robotic mechanism can perform peristaltic movement and turning in space. The robotic mechanism possesses a simple structure and high flexibility, along with the merits of serial–parallel mechanism. In this article, analytic models for the kinematics and dynamics of the robotic mechanism are derived. Additionally, numerical examples are given, and their solutions are validated based on results obtained by SimMechanics and Adams.
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Dalla, Vijay K., and Pushparaj M. Pathak. "Impedance control in multiple cooperative space robots pulling a flexible wire." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 6 (June 27, 2018): 2190–205. http://dx.doi.org/10.1177/0954406218781421.

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With the interaction between the space robot tip and the environment, the base’s position and orientation are disturbed leading to force and trajectory control complexity. Impedance control is a technique for force and trajectory control in a robotic system. This paper presents a strategy of impedance control in a multiple cooperative space robots pulling a flexible wire. First, the control strategy was developed for one degree of freedom multiple space robots. The developed control strategy was extended to two degree of freedom cooperative space robots. A flexible wire is pulled by a group of space robots with one degree of freedom and two degree of freedoms, respectively. In the impedance-based control strategy design, the process of modulating the robot tip impedance is a very significant feature. In this work, impedance control strategy between tip and environment is applied for pulling a wire by one degree of freedom and two degree of freedoms. Impedance depends on the gain compensation for passive degree of freedom dynamics. Simulation and the animation studies are carried out to validate the proposed control scheme. The results achieved are quite satisfactory and reveal that impedance controllers in a multiple cooperative space robots with one and two degree of freedoms can limit the interaction forces to a predefined value of 8 N. The bond graph modeling methodology is used in the dynamic system model for the generation of system equations.
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Stammers, C. W. "Algorithms for a Versatile Two-Degree-of-Freedom Robot Wrist." Proceedings of the Institution of Mechanical Engineers, Part C: Mechanical Engineering Science 204, no. 3 (May 1990): 139–44. http://dx.doi.org/10.1243/pime_proc_1990_204_090_02.

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Two-degree-of-freedom wrists are examined with the objective of formulating designs which will allow three-degree-of-freedom performance by means of repeated use of the two available freedoms. Both axes must either be fixed with respect to the arm or move with the wrist. Friction drive designs are examined. Algorithms are presented for the achievement of the objective. There is a performance penalty involved, which for some manoeuvres is appreciable, but which for others is negligible.
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Tuo, Jiying, Zhaoxiang Deng, Wei Huang, and Heshan Zhang. "A six degree of freedom passive vibration isolator with quasi-zero-stiffness-based supporting." Journal of Low Frequency Noise, Vibration and Active Control 37, no. 2 (February 13, 2018): 279–94. http://dx.doi.org/10.1177/1461348418756020.

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A six degree of freedom nonlinear passive vibration isolator is proposed based on Stewart platform configuration with the quasi-zero-stiffness structure as its legs. Due to the high static stiffness and low dynamic stiffness of each leg, the proposed six degree of freedom system can realize very good vibration isolation performance in all six directions while keeping high static load-bearing capacity in a pure passive manner. The mechanic model of the proposed six degree of freedom isolator and the dynamic equation of the isolator are established successively. Theoretical analysis on cross coupling stiffness reveals that the system can demonstrate quasi-zero-stiffness property in all six degree of freedom. Moreover, an analysis on stability shows that the condition of structural parameters for the isolator to realize quasi-zero-stiffness is also the stability boundary of the system. A series of numerical simulations on displacement transmissibilities in coupled degree of freedoms, the coupling effects of transmissibility, and a dynamic response in random excitation are carried out to show the effectiveness of the proposed six degree of freedom isolator, as well as the influence of structural parameters on vibration attenuation performance. Considering its high performance in a simple passive manner, it can be foreseen that the proposed six degree of freedom isolator will be applied in various engineering practices with multi-degree of freedom vibration isolation.
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Casperson, R. J., V. Werner, and S. Heinze. "Hexadecapole degree of freedom in 94Mo." Physics Letters B 721, no. 1-3 (April 2013): 51–55. http://dx.doi.org/10.1016/j.physletb.2013.02.042.

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Gans, John A. "Freedom of Opportunity: The PharmD Degree." American Pharmacy 30, no. 6 (June 1990): 24–27. http://dx.doi.org/10.1016/s0160-3450(15)31440-9.

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Virtual Presence Ltd. "Six degree-of-freedom position tracker." Displays 13, no. 4 (October 1992): 211. http://dx.doi.org/10.1016/0141-9382(92)90091-5.

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Dissertations / Theses on the topic "Degree of freedom"

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Chau, Simon Yi Ying. "Six degree of freedom joystick." Thesis, University of Canterbury. Mechanical Engineering, 2003. http://hdl.handle.net/10092/6604.

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Industrial robotics concentrates on developing automated alternatives to human function. Most of the equipment is controlled by means of joystick. Through a joystick input, a robotic arm can be guided through the trajectories to accomplish complex manipulation tasks for its user. Nevertheless, conventional joysticks are mainly two dimensional input devices such as mouse or joystick with additional buttons. Hence it is necessary to design and build a more intuitive and user-friendly joystick model. This thesis aims at designing and building a six degree of freedom (DOF) joystick. Different designs are reviewed in the beginning of the thesis, the final prototype is proposed by refining the different designs. Structural analysis of the model is performed and verified using finite element software ANSYS and PATRAN. The prototype is tested to model the movement of the wire strips when various forces are applied. Preliminary test results are obtained and explained.
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English, Chad. "Stiffness behaviour in two degree of freedom mechanisms." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0023/NQ52318.pdf.

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Masters, Brett P. (Brett Peter). "Multiple degree of freedom force-state component identification." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/49916.

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Anderson, Gordon A. B. (Gordon Alexander Brewster) 1977. "A six-degree of freedom flexural positioning stage." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/17585.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2003.
Includes bibliographical references (p. 134-136).
A novel, low-cost positioning stage was constructed using a six-axis compliant mechanism driven by three two-axis electromagnetic actuators. The mechanism's monolithic, planar geometry is easily fabricated with low-cost manufacturing processes (such as waterjet machining). The manipulator tolerates ±1 mm actuator misalignment with less than 0.1% full-scale position error. Measurements over a 100x100x100 nm3 work volume displayed resolution better than the sensing capability, 5nm, and open-loop linearity errors less than 0.005% of the full-scale range (100 [mu]m). Measurements over a 100x100x100 [mu]m3 work volume exhibited linearity errors less than 0.20% full-scale. The mechanism's equilateral symmetry and planar geometry restricted thermal drift rates at start-up to 23nm and 4 [mu]tradians over 30 minutes and 0.1°C temperature change. The manipulator, built for $ 2000 (excluding electronics), was successfully tested in a fiber optic alignment application.
by Gordon A.B. Anderson.
S.M.
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Knight, Heather. "Expressive Motion for Low Degree-of-Freedom Robots." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/753.

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As social and collaborative robots move into everyday life, the need for algorithms enabling their acceptance becomes critical. People parse non-verbal communications intuitively, even from machines that do not look like people, thus, expressive motion is a natural and efficient way to communicate with people. This work presents a computational Expressive Motion framework allowing simple robots to modify task motions to communicate varying internal states, such as task status, social relationships, mood (e.g., emotive) and/or attitude (e.g., rushed, confident). By training robot motion features with humans in the loop, future robot designers can use this approach to parametrize how a robot generates its task motions. The hypothesis of this Thesis is that robots can modify the motion features of their task behaviors such to legibly communicate a variety of states. Typically, researchers build instances of expressive motion into individual robot behaviors (which is not scalable), or use an independent channel such as lights or facial expressions that do not interfere with the robot's task. What is unique about this work is that we use the same modality to do both task and expression: the robot's joint and whole-body motions. While this is not the only way for a robot to communicate expression, Expressive Motion is a channel available to all moving machines, which can work in tandem with additional communication modalities. Our methodological approach is to operationalize the Laban Effort System, a well-known technique from acting training, describing a four-dimensional state space of Time, Weight, Space and Flow. Thus, our Computational Laban Effort (CLE) framework can use four values, the Laban Effort Setting, to represent a robot's current state. Each value is reflected in the motion characteristics of the robot's movements. For example, a Laban Time Effort of `sudden' might have more abrupt accelerations and fast velocity, while a Laban Time Effort value of `sustained' could have slower acceleration and low velocity. In our experiments, we find that varying these four Effort values results in complex communications of robot state to the people around it, even for robots with low degrees of freedom. The technical contributions of this work include: 1. A Computational Laban Effort framework for layering Expressive Motion features onto robot task behaviors, fully specified for low degree of freedom robots. 2. Specifications for selecting, exploring and making generalizations about how to map these motion features to particular robot state communications. 3. Experimental studies of human-robot interaction to evaluate the legibility, attributions and impact of these technical components. 4. Sample evaluations of approaches to establish mappings between CLE features and state communications.
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Alshehri, Ali. "Two degree of freedom capacitive MEMS velocity sensor." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/379257/.

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This research presents the design and implementation of a novel two-degree-of-freedom (2-DoF) capacitive MEMS velocity sensor for use with structural vibration measurements. The sensor comprises two mass–spring–damper systems that are connected in series. The base principal system is used as the principal sensing element, and the other system functions as the secondary sensing element for the implementation of an internal velocity feedback loop. This loop is aimed at producing damping force on the proof mass of the principal sensing system, so that the frequency response function of the velocity sensor takes on three important properties: (1) At low frequencies below the fundamental resonance of the 2-DoF sensor, the output of the sensor becomes proportional to the velocity of the sensor’s frame. (2) Around the fundamental resonance, the sensor is characterised by a flat amplitude spectrum. (3) Finally, above the fundamental resonance, the sensor is characterised by an amplitude roll-off with only a 90° phase lag. In contrast to standard accelerometer vibration sensors, this sensor produces the desired velocity output within the bandwidth up to the first resonance frequency and generates a filtering effect with a –90° phase lag after the first resonance frequency. A piezoresistive MEMS velocity sensor presented in the literature was explored to confirm the effectiveness of the concept that drives the current 2-DoF velocity sensor. Such technique, however, is susceptible to temperature changes, presents low sensitivity and requires several fabrication steps. To avoid these drawbacks, the sensor proposed in this research was specifically designed with a capacitive transducer and an actuation technique. The sensor interface and the controller are implemented on a printed circuit board. The control loop and closed-loop response were designed by a post-process intended to measure frequency response functions (FRFs) for the displacements of the two proof masses with respect to (i) base acceleration and (ii) the electrostatic actuator applied to the principal proof mass. The comparison of the simulated and measured FRFs indicates that the MEMS sensor dynamically and closely reproduces the desired 2-DoF response. The first prototype sensor was fabricated on a silicon-on-insulator (SOI) wafer with two masks. Below 1 kHz, the measured output signal of the closed-loop sensor is proportional to the velocity of the base. Above the fundamental resonance, the output signal rolls off with a phase lag of –90°. The second prototype sensor is grounded on an innovative design and fabrication process, which enabled the direct measurement of the relative displacement between the two proof masses. The measurement was conducted using a capacitive transducer and mechanical subtraction. The second prototype was fabricated on an SOI wafer with three masks. The post-process of the measured data shows that at low frequencies (between about 300 Hz and 1 kHz), the spectrum of the sensor’s output signal is proportional to the base velocity. Around the fundamental resonance frequency, the characteristic resonance peak flattens and the phase lag decreases to –90°. These three properties are of considerable interest for the implementation of vibration control systems that use feedback loops with a collocated velocity sensor and piezoelectric patch actuator pairs.
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English, Chad (Chad Elliott) Carleton University Dissertation Engineering Mechanical and Aerospace. "Stiffness behaviour in two degree of freedom mechanisms." Ottawa, 1999.

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Gudgel, Garrett Daniel. "Three Degree-of-Freedom Parallel Actuator Telescope Mount." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1547.

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This thesis contains the design, implementation, and testing of an original, small-scaled two degree-of-freedom telescope mount and a medium-scaled three degree-of-freedom telescope mount inspired by the six degree-of-freedom Stewart-Gough platform telescope mount. The end product is intended to achieve research-standard resolution of targeted sky coverage for binary star research. The scaled prototype was carried through concept design, manufacturing, software development, and testing. The mount software development and electronic design is applicable to a full-scale mount as the drivers have been designed to be easily adapted to different actuator configurations. It is recommended that this design be implemented into a telescope in the one to two meter range for economic practicality.
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Sahler, Erica. "Analysis of a single-degree-of-freedom roll motion model: simulation, sensitivity study, and comparison to multi-degree-of-freedom models." Thesis, Monterey, California. Naval Postgraduate School, 1996. http://hdl.handle.net/10945/7950.

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This study models roll motion response of a barge subjected to beam sea conditions as a single degree of freedom system. The measured wave, either regular or random, is input into a computer program which uses a fourth order Runge Kutta integration method to numerically predict roll motion response. The simulated results are compared to measured data to determine the best system damping parameters. Four different forms of the damping moment of the SDOF model are analyzed. In each form all coefficients are known except for the linear and nonlinear damping parameters. Each form uses a combination of relative motion Morison' damping and/or linear structural damping. Predicted results of the four forms of the damping moment are examined to determine the most suitable model. A sensitivity study on the response to various system parameters is then conducted on the selected form. Each form of the model uses a thirteenth order polynomial restoring moment. An analysis is also conducted to determine the effects of using lower order terms to represent the restoring moment. Finally, results of the SDOF model from this report are compared with a 3DOF and a 2DOF model subjected to the same wave environment to determine which model more accurately predicts roll response
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Maguire, Keir. "Multi-degree of freedom position sensor for planar motors." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54758.

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This thesis presents the development and verification of a multi-degree of freedom (DOF), non-contact position sensor for a magnetically levitated planar motor. Planar motors are intended to replace X-Y stages in various manufacturing processes resulting in higher accuracy, higher speed, and no friction. To obtain position feedback, previous planar motors have used laser interferometers, planar encoders, stereo vision, capacitive sensors, and Hall sensor arrays. For applications requiring micrometre-level precision, Hall sensor arrays are cost-effective, absolute, high bandwidth, can be integrated into the stator, and are capable of sensing multiple movers in 6-DOF over large stroke and rotation. However, previous Hall sensor arrays suffered from excessive error, low bandwidth, absolute position only within one pitch of the magnet array, modifications to the mover, lack of 6-DOF or multi-mover capability, or limited range. A 2-D Hall sensor array was developed. There are three sensors per wavelength of the magnetic field, which decouples sensor outputs for orthogonal 1-D Halbach magnet arrays. The position in 2-DOF, X and Z, is calculated for a 1-D Halbach array. The position in 6-DOF can be calculated for a planar motor mover composed of four orthogonal Halbach arrays. This sensor solution measures absolute position and is high bandwidth, multi-mover capable, and scalable with stroke. A prototype was designed, consisting of a Hall sensor array, summing amplifiers, and signal processing electronics. The prototype was tested in 2-DOF using a CNC to move a Halbach array to discrete points. Position error is approximately 200 µm peak to peak; however, the error is periodic and can be compensated. Resolution is 5 µm. Due to redundancy and averaging, improved accuracy and resolution is expected for 6-DOF sensing of the planar motor. Variation in sensor gain is a common cause of error in previous Hall sensor arrays. Previous Hall sensor arrays have only achieved good accuracy by using laser interferometers for error mapping or individual differential amplifiers to control each sensor’s gain. A sensor sorting setup was designed, built, and used to sort more than 12,000 sensors based on gain. The sorted sensors can be used for a sensor array with micrometre-level accuracy.
Applied Science, Faculty of
Mechanical Engineering, Department of
Graduate
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Books on the topic "Degree of freedom"

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Brown, Robert Michael. A microcontroller-based three degree-of-freedom manipulator testbed. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Brown, Robert Michael. A microcontroller-based three degree-of-freedom manipulator testbed. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Brown, Robert Michael. A microcontroller-based three degree-of-freedom manipulator testbed. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Markov, Alexander B. A nonlinear six degree-of-freedom flight simulation model. Ralston, Alta: Defence Research Establishment Suffield, 1990.

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Sahler, Erica. Analysis of a single-degree-of-freedom roll motion model: Simulation, sensitivity study, and comparison to multi-degree-of-freedom models. Springfield, Va: Available from National Technical Information Service, 1996.

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Beigie, Darin. Dynamics associated with classical multi-degree-of-freedom scattering phenomena. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.

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M, Eisenberg Judah, ed. Quantum mechanics of many degrees of freedom. New York: Wiley, 1988.

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Williams, Robert L. Kinematics of the six-degree-of-freedom force-reflecting Kraft Master. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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Williams, Robert L. Kinematics of the six-degree-of-freedom force-reflecting Kraft Master. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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Williams, Robert L. Kinematics of the six-degree-of-freedom force-reflecting Kraft Master. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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Book chapters on the topic "Degree of freedom"

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Gooch, Jan W. "Degree of Freedom." In Encyclopedic Dictionary of Polymers, 199. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_3383.

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Woodhouse, Nicholas M. J. "One Degree of Freedom." In Springer Undergraduate Mathematics Series, 35–66. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-816-2_2.

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Levi, Mark. "One degree of freedom." In The Student Mathematical Library, 1–74. Providence, Rhode Island: American Mathematical Society, 2014. http://dx.doi.org/10.1090/stml/069/01.

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Jazar, Reza N. "One Degree of Freedom." In Advanced Vibrations, 203–338. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16356-2_3.

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Preumont, André. "Multiple Degree-of-Freedom Systems." In Twelve Lectures on Structural Dynamics, 15–41. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6383-8_2.

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Sisemore, Carl, and Vít Babuška. "Single Degree-of-Freedom Systems." In The Science and Engineering of Mechanical Shock, 45–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12103-7_3.

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Sisemore, Carl, and Vít Babuška. "Multi-Degree-of-Freedom Systems." In The Science and Engineering of Mechanical Shock, 199–227. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12103-7_8.

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Leschke, André. "Third Degree of Freedom: Application." In Algorithm Concept for Crash Detection in Passenger Cars, 177–203. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29392-5_11.

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Lawrence, Anthony. "Single-Degree-of-Freedom Gyroscopes." In Mechanical Engineering Series, 95–121. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1734-3_8.

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Lawrence, Anthony. "Two-Degree-of-Freedom Gyroscopes." In Mechanical Engineering Series, 122–30. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1734-3_9.

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Conference papers on the topic "Degree of freedom"

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Sasaki, Akinori, and Hiroshi Hashimoto. "High degree-of-freedom hand model driven by lower degree-of-freedom input." In 2017 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2017. http://dx.doi.org/10.1109/sii.2017.8279307.

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Tapak, Peter. "One degree of freedom copter." In 2016 International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2016. http://dx.doi.org/10.1109/iceta.2016.7802100.

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Flebus, Carlo. "Five-degree-of-freedom mount." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Daniel Vukobratovich, Paul R. Yoder, Jr., and Victor L. Genberg. SPIE, 1993. http://dx.doi.org/10.1117/12.156620.

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Younas, Tanzila, Muhammad Faizan Khan, Sania Urooj, Nasreen Bano, and Rao Anique Younas. "Four Degree of Freedom Robotic Arm." In 2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS). IEEE, 2019. http://dx.doi.org/10.1109/icetas48360.2019.9117354.

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Murphy, Michael P., Benjamin Stephens, Yeuhi Abe, and Alfred A. Rizzi. "High degree-of-freedom dynamic manipulation." In SPIE Defense, Security, and Sensing. SPIE, 2012. http://dx.doi.org/10.1117/12.919939.

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Guez, A., and I. Bar-Kana. "Two-degree-of-freedom robot neurocontroller." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203397.

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Cazo, Rogerio Moreira, Erik dos Reis Ribeiro, Marcelo Buonocore Nunes, Carmem Lucia Barbosa, Jorge Luis de Siqueira Ferreira, Tales de Barros Caldas, Josemir Coelho dos Santos, Josiel Urbaninho de Arruda, Cristiano M. B. Cordeiro, and Christiano J. S. de Matos. "Six Degree Freedom Optical Fiber Accelerometer." In 1ST WORKSHOP ON SPECIALITY OPTICAL FIBERS AND THEIR APPLICATIONS. AIP, 2008. http://dx.doi.org/10.1063/1.3002519.

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Keviczky, L., and C. Banyasz. "Optimal two-degree of freedom controllers." In Proceedings of the 1998 American Control Conference (ACC). IEEE, 1998. http://dx.doi.org/10.1109/acc.1998.694655.

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Stalbaum, Tyler, Shelby E. Nelson, Viljar Palmre, and Kwang J. Kim. "Multi degree of freedom IPMC sensor." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Yoseph Bar-Cohen. SPIE, 2014. http://dx.doi.org/10.1117/12.2045671.

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Greene, John M. "Nonlinear behavior: One degree of freedom." In PHYSICS OF PARTICLE ACCELERATORS: SLAC Summer School, 1985 and Fermilab Summer School 1984. AIP, 1987. http://dx.doi.org/10.1063/1.36358.

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Reports on the topic "Degree of freedom"

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Sahler, Erica. Analysis of a Single-Degree-of-Freedom Roll Motion Model: Simulation, Sensitivity Study, and Comparison to Multi-Degree-of-Freedom Models,. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada310335.

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2

Ravani, Bahram. Classification and Simulation of Single and Multi-Degree-of-Freedom Motions. Fort Belvoir, VA: Defense Technical Information Center, October 1989. http://dx.doi.org/10.21236/ada214925.

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Grassia, F. S. A Practical Parameterization of 2 and 3 Degree of Freedom Rotations. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada327707.

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Zeng, D., M. C. Richmond, C. S. Simmons, and T. J. Carlson. Six-degree-of-freedom Sensor Fish design - Governing equations and motion modeling. Office of Scientific and Technical Information (OSTI), July 2004. http://dx.doi.org/10.2172/1218164.

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Feliu, Vincente, H. B. Brown, Rattan Jr., and Kuldip S. Design and Control of a Two-Degree-of-Freedom Lightweight Flexible Arm. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada213335.

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Amoruso, Michael J. Euler Angles and Quaternions in Six Degree of Freedom Simulations of Projectiles. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada417259.

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Deng, Zhiqun, Marshall C. Richmond, Carver S. Simmons, and Thomas J. Carlson. Six-Degree-of-Freedom Sensor Fish Design: Governing Equations and Motion Modeling. Office of Scientific and Technical Information (OSTI), August 2004. http://dx.doi.org/10.2172/15020939.

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Ebeling, Robert M., Russell A. Green, and Samuel E. French. Accuracy of Response of Single-Degree-of-Freedom Systems to Ground Motion. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada336674.

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Harmon, C. B., and William Dieterich. A 3-Degree-of-Freedom Flight Simulator Evaluation of Unsteady Aerodynamics Effects. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada241540.

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10

Gwartney, James, Robert Lawson, Joshua Hall, and Ryan Murphy. Economic Freedom of the World: 2022 Dataset for Researchers. Fraser Institute, 2022. http://dx.doi.org/10.53095/88975003.

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Abstract:
Dataset for Researchers of the Economic Freedom of the World Annual Report that measures the degree to which the policies and institutions of countries are supportive of economic freedom. The cornerstones of economic freedom are personal choice, voluntary exchange, freedom to enter markets and compete, and security of the person and privately owned property. Forty-two data points are used to construct a summary index, along with a Gender Legal Rights Adjustment to measure the extent to which women have the same level of economic freedom as men. The degree of economic freedom is measured in five broad areas: Size of Government, Legal System and Property Rights, Sound Money, Freedom to Trade Internationally, and Regulation.
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