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Books on the topic 'Disconfort due to noise'

Author: Grafiati

Published: 10 September 2021

Last updated: 1 February 2022

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1

Morrissey, Helen S. An evaluation of the effectiveness of the noise act 1996 in limiting disturbance due to noise in dwellings at night. (s.l: The Author), 2003.

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2

Hipsey, Stephen J. Ambient noise due to the shearing of the boundary layer under sea ice. Monterey, Calif: Naval Postgraduate School, 1988.

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3

Robinson, D. W. Tables for the estimation of hearing impairment due to noise for otologically normal and typical unscreened populations of males and females. London: HMSO Publications Centre, 1991.

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4

Hubbard, Harvey H. Comparisons of methods for predicting community annoyance due to sonic booms. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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5

Robinson, D. W. Tables for the estimation of hearing impairement due to noise for otologically normal persons and for a typical unscreened population, as a function of age and duration of exposure. [Bootle]: Health and Safety Executive, 1988.

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6

Dieter, Hils, and United States. National Aeronautics and Space Administration., eds. Confusion noise level due to galactic and extragalactic binaries. [Washington, DC: National Aeronautics and Space Administration, 1997.

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7

C, Simonich John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Helicopter rotor noise due to ingestion of atmospheric turbulence. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.

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8

Center, Langley Research, ed. Broadband transmission loss due to reverberant excitation. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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9

Farabee, T. M., and Rebecca J. Hansen. Flow Induced Noise Due to Laminar Turbulence Transition Process - Winter Annual Meeting (H00563). Amer Society of Mechanical, 1989.

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10

Schennum, Steven Dean. The modeling of electromagnetic interference due to corona on electric power lines. 1992.

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11

Griffin, Joyce Patricia. THE EFFECT OF PROGRESSIVE MUSCULAR RELAXATION ON SUBJECTIVELY REPORTED DISTURBANCE DUE TO HOSPITAL NOISE. 1988.

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12

P, Shepherd Kevin, and Langley Research Center, eds. Comparisons of methods for predicting community annoyance due to sonic booms. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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13

Robinson, D. W. Tables for the Estimation of Hearing Impairment Due to Noise for Otologically Normal Persons and for a Typical Unscreened Population, as a Function of ... of Exposure. Health and Safety Executive (HSE), 1988.

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14

Flow-induced noise due to laminar-turbulence transition process: Presented at the Winter Annual Meeting of the American Society of Mechanical Engineers, San Francisco, California, December 10-15, 1989. New York, N.Y: The Society, 1989.

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15

Rosenman, Kenneth D. Cardiovascular Disorders. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190662677.003.0029.

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This chapter describes cardiovascular disorders related to occupational and environmental exposures. Sections of the chapter address cardiovascular disease due to carbon monoxide, nitrates, particulate air pollution, and psychosocial factors. The chapter also addresses shift work and sedentary work. A section describes arrhythmias due to various specific chemical exposures. Another section describes hypertension related to lead, excessive noise, and other factors. Finally, a section addresses peripheral vascular disease and Raynaud disease. Cardiovascular disorders are very common and recognition of how occupational and environmental exposures contribute to the occurrence and exacerbation of cardiovascular disorders is important in their prevention, diagnosis, and management.

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16

Glazov, M. M. Fluctuations of Electron and Nuclear Spins. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807308.003.0010.

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In thermal equilibrium, both electron and nuclear spin systems are unpolarized on average, but characterized by nonzero fluctuations. These fluctuations are inevitable due to the quantum-mechanical nature of spin. The physics of spin fluctuations in electron and nucelar systems is studied in this chapter. The intensity and dynamics of these inevitable stochastic fluctuations of spins contain information on spin relaxation and decoherence times, spin precession period, and interactions in spin systems. The theory of spin fluctuations in semiconductor nanosystems as well as experimental advances in the field of spin noise spectroscopy are reviewed. Specific situations where the spin noise spectroscopy can be particularly useful for spin dynamics studies are discussed, the analysis of recent progress in the field of nonequlibrium spin fluctuations is also presented.

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17

Succi, Sauro. Lattice Boltzmann Models without Underlying Boolean Microdynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0013.

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Chapter 12 showed how to circumvent two major stumbling blocks of the LGCA approach: statistical noise and exponential complexity of the collision rule. Yet, the ensuing LB still remains connected to low Reynolds flows, due to the low collisionality of the underlying LGCA rules. The high-viscosity barrier was broken just a few months later, when it was realized how to devise LB models top-down, i.e., based on the macroscopic hydrodynamic target, rather than bottom-up, from underlying microdynamics. Most importantly, besides breaking the low-Reynolds barrier, the top-down approach has proven very influential for many subsequent developments of the LB method to this day.

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18

Fermüller, Cornelia. Motion Illusions in Man and Machine. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0006.

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At the level of mathematical abstraction, computing image motion amounts to an estimation problem and can be analyzed using the tools of statistics and signal processing. As shown in this chapter, intrinsic limitations to the estimation processes make it impossible to derive veridical estimates for all images. Image motion is estimated erroneously, and as a result higher level processes compute erroneous three-dimensional motion and moving scenes. Specifically, two limitations are discussed: (a) due to noise in image data, there is statistical bias that affects anisotropic patterns and (2) the filters computing changes in time are asymmetric (causal), using data only from the past but not the future, and misestimate on locally asymmetric intensity signals of certain spatial frequencies. Since these limitations are not an artifact of the hardware but are inherent to the computations, they will affect any system and thus create illusions in man and machine.

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19

Bensimon, David, Vincent Croquette, Jean-François Allemand, Xavier Michalet, and Terence Strick. Single-Molecule Studies of Nucleic Acids and Their Proteins. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198530923.001.0001.

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This book presents a comprehensive overview of the foundations of single-molecule studies, based on manipulation of the molecules and observation of these with fluorescent probes. It first discusses the forces present at the single-molecule scale, the methods to manipulate them, and their pros and cons. It goes on to present an introduction to single-molecule fluorescent studies based on a quantum description of absorption and emission of radiation due to Einstein. Various considerations in the study of single molecules are introduced (including signal to noise, non-radiative decay, triplet states, etc.) and some novel super-resolution methods are sketched. The elastic and dynamic properties of polymers, their relation to experiments on DNA and RNA, and the structural transitions observed in those molecules upon stretching, twisting, and unzipping are presented. The use of these single-molecule approaches for the investigation of DNA–protein interactions is highlighted via the study of DNA and RNA polymerases, helicases, and topoisomerases. Beyond the confirmation of expected mechanisms (e.g., the relaxation of DNA torsion by topoisomerases in quantized steps) and the discovery of unexpected ones (e.g., strand-switching by helicases, DNA scrunching by RNA polymerases, and chiral discrimination by bacterial topoII), these approaches have also fostered novel (third generation) sequencing technologies.

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20

Capmany, José, and Daniel Pérez. Programmable Integrated Photonics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198844402.001.0001.

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Programmable Integrated Photonics (PIP) is a new paradigm that aims at designing common integrated optical hardware configurations, which by suitable programming can implement a variety of functionalities that, in turn, can be exploited as basic operations in many application fields. Programmability enables by means of external control signals both chip reconfiguration for multifunction operation as well as chip stabilization against non-ideal operation due to fluctuations in environmental conditions and fabrication errors. Programming also allows activating parts of the chip, which are not essential for the implementation of a given functionality but can be of help in reducing noise levels through the diversion of undesired reflections. After some years where the Application Specific Photonic Integrated Circuit (ASPIC) paradigm has completely dominated the field of integrated optics, there is an increasing interest in PIP justified by the surge of a number of emerging applications that are and will be calling for true flexibility, reconfigurability as well as low-cost, compact and low-power consuming devices. This book aims to provide a comprehensive introduction to this emergent field covering aspects that range from the basic aspects of technologies and building photonic component blocks to the design alternatives and principles of complex programmable photonics circuits, their limiting factors, techniques for characterization and performance monitoring/control and their salient applications both in the classical as well as in the quantum information fields. The book concentrates and focuses mainly on the distinctive features of programmable photonics as compared to more traditional ASPIC approaches.

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