12/18/2023 0 Comments Summarize in r![]() This is because the energy the swing absorbs is maximized when the pushes match the swing's natural oscillations. Pushing a person in a swing in time with the natural interval of the swing (its resonant frequency) makes the swing go higher and higher (maximum amplitude), while attempts to push the swing at a faster or slower tempo produce smaller arcs. The loaded swing, a pendulum, has a natural frequency of oscillation, its resonant frequency, and resists being pushed at a faster or slower rate.Ī familiar example is a playground swing, which acts as a pendulum. Pushing a person in a swing is a common example of resonance. Some systems have multiple, distinct, resonant frequencies. When damping is small, the resonant frequency is approximately equal to the natural frequency of the system, which is a frequency of unforced vibrations. However, there are some losses from cycle to cycle, called damping. Resonance occurs when a system is able to store and easily transfer energy between two or more different storage modes (such as kinetic energy and potential energy in the case of a simple pendulum). 3.3 Generalizing resonance and antiresonance for linear systems.3.2.5 Relationships between resonance and frequency response in the RLC series circuit example.3.1 The driven, damped harmonic oscillator.The term resonance (from Latin resonantia, 'echo', from resonare, 'resound') originated from the field of acoustics, particularly the sympathetic resonance observed in musical instruments, e.g., when one string starts to vibrate and produce sound after a different one is struck. Resonant systems can be used to generate vibrations of a specific frequency (e.g., musical instruments), or pick out specific frequencies from a complex vibration containing many frequencies (e.g., filters). Resonance phenomena occur with all types of vibrations or waves: there is mechanical resonance, acoustic resonance, electromagnetic resonance, nuclear magnetic resonance (NMR), electron spin resonance (ESR) and resonance of quantum wave functions. Small periodic forces that are near a resonant frequency of the system have the ability to produce large amplitude oscillations in the system due to the storage of vibrational energy. įrequencies at which the response amplitude is a relative maximum are also known as resonant frequencies or resonance frequencies of the system. When an oscillating force is applied at a resonant frequency of a dynamic system, the system will oscillate at a higher amplitude than when the same force is applied at other, non-resonant frequencies. Resonance describes the phenomenon of increased amplitude that occurs when the frequency of an applied periodic force (or a Fourier component of it) is equal or close to a natural frequency of the system on which it acts. of HLT-NAACL 2004.Increase of amplitude as damping decreases and frequency approaches resonant frequency of a driven damped simple harmonic oscillator. Structural correspondence learning for parse disambiguation. Incorporating speaker and discourse features into speech summarization. Murray, G., Renals, S., Moore, J., & Carletta, J.Interpretation and transformation for abstracting conversations. Summarizing spoken and written conversations. McClosky, D., Charniak, E., & Johnson, M.A skip-chain conditional random field for ranking meeting utterances by importance. A statistical model for multilingual entity detection and tracking. Florian, R., Hassan, H., Ittycheriah, A., Jing, H., Kambhatla, N., Luo, X., et al.Journal of Artificial Intelligence Research, 26, 101-126. Domain Adaptation for Statistical Classifiers. Adaptation of maximum entropy capitalizer: Little data can help a lot. The AMI meeting corpus: A pre-announcement. Carletta, J., Ashby, S., Bourban, S., Flynn, M., Guillemot, M.Combining labeled and unlabeled data with co-training. Domain adaptation with structural correspondence learning. Blitzer, J., McDonald, R., & Pereira, F.Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. Blitzer, J., Dredze, M., & Pereira, F.Domain Adaptation of Natural Language Processing Systems.
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