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Journal of the Acoustical Society of America

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Jun 2002

Volume 111, Issue 6, pp. 2519-2941

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New Fellows of the Acoustical Society of America

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2519-2519 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.05.Ky Members and membership lists, personal notes, fellows

ASA member Jan F. Lindberg receives IEEE award

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2519-2519 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.05.Pc Prizes, medals, and other awards
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New Books and Monographs

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2521-2521 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.10.Hj Books and book reviews
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Subjective evaluation of temporal fluctuation of sound source and sound field (A)

Junko Atagi

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2523-2523 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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Physical properties and subjective evaluation of the tiime-variant sound field were investigated. Physical properties were analyzed by the autocorrelation function (ACF). Three temporal factors are extracted from the ACF: (i) effective duration, Ï„e, which is ten-percentile delay of the envelope of the ACF; (ii) the delay of the first peak of the ACF, Ï„1; and (iii) its amplitude, Ï•1. The results showed that the physical properties of the time-variant sound field are identified by Ï„e and the envelope of the ACF of the sound field. In the second part, physical properties and subjective annoyance of traffic noise were investigated. It was found that the physical properties are identified by the temporal factors Ï„1 and Ï„e of the traffic noise. Paired-comparison tests on subjective annoyance of the traffic noise were also conducted. It was found that the subjective annoyance is associated with the temporal factors Ï„1 and Ï„e of the traffic noise.
Thesis advisor: Yoichi Ando
Copies of this thesis written in English can be obtained from Junko Atagi, 6813 Mosonou, Saijo-cho, Higashi-Hiroshima 739-0024, Japan. E-mail address: atagi\@urban.ne.jp.
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43.55.Hy Subjective effects in room acoustics, speech in rooms

Duration sensation in relation to the autocorrelation function of sound stimuli (A)

Kazi Saifuddin

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2523-2523 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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Relationships were investigated between subjective judgment of physical duration and the factors extracted from the autocorrelation function (ACF) of sound stimuli. Factors of ACF were changed by using different properties of pure-tone, complex-tone, white noise and bandpass-noise stimuli. Experiments by paired-comparison method were conducted in the sound proof chamber except for one in a concert hall. Sound stimuli were selected on the basis of the measured factors of ACF as parameters. Subjects were asked to compare the durations of two stimuli in the pair. Subjective durations were obtained in the psychometric function and were interpreted as duration sensation (DS) on the basis of the auditory-brain model and the theory of primary sensation. Results (p<0.05) are shown as below. (1) DSs are longer with larger τ1 (being time delay of first peak of ACF corresponding to pitch. (2) DSs are longer with higher Φ(0) (being energy at the beginning of ACF). (3) DSs are longer with smaller ϕm (being constant amplitude of all peaks of ACF). (4) DSs are similar for pure-tone and complex-tone stimuli with same pitch.
Thesis advisor: Yoichi Ando
Copies of this thesis written in English can be obtained from Junko Atagi, 6813 Mosonou, Saijo-cho, Higashi-Hiroshima 739-0024, Japan. E-mail address: atagi\@urban.ne.jp.
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43.66.Mk Temporal and sequential aspects of hearing; auditory grouping in relation to music
43.66.Lj Perceptual effects of sound

Perception and psychological evaluation for visual and auditory environment based on the correlation mechanisms (A)

Kenji Fujii

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2523-2523 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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In this dissertation, the correlation mechanism in modeling the process in the visual perception is introduced. It has been well described that the correlation mechanism is effective for describing subjective attributes in auditory perception. The main result is that it is possible to apply the correlation mechanism to the process in temporal vision and spatial vision, as well as in audition. (1) The psychophysical experiment was performed on subjective flicker rates for complex waveforms. A remarkable result is that the phenomenon of missing fundamental is found in temporal vision as analogous to the auditory pitch perception. This implies the existence of correlation mechanism in visual system. (2) For spatial vision, the autocorrelation analysis provides useful measures for describing three primary perceptual properties of visual texture: contrast, coarseness, and regularity. Another experiment showed that the degree of regularity is a salient cue for texture preference judgment. (3) In addition, the autocorrelation function (ACF) and inter-aural cross-correlation function (IACF) were applied for analysis of the temporal and spatial properties of environmental noise. It was confirmed that the acoustical properties of aircraft noise and traffic noise are well described. These analyses provided useful parameters extracted from the ACF and IACF in assessing the subjective annoyance for noise.
Thesis advisor: Yoichi Ando
Copies of this thesis written in English can be obtained from Junko Atagi, 6813 Mosonou, Saijo-cho, Higashi-Hiroshima 739-0024, Japan. E-mail address: atagi\@urban.ne.jp.
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43.10.Nq News with relevance to acoustics, nonacoustical theories of interest to acoustics
43.66.Lj Perceptual effects of sound
43.50.Rq Environmental noise, measurement, analysis, statistical characteristics

Dynamic analysis, psychological and physiological evaluations of the visual environment (A)

Yoshiharu Soeta

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2523-2523 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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Attempts are made to apply preference theory for sound fields to visual fields. To investigate how the periodical flicker and movements in vertical and horizontal directions are preferred, preference judgments were conducted by paired-comparison tests. Results show that each stimulus has each pereference period. The scale value of preference is formulated approximately in terms of the math power of the normalized period of stimulus. It is interesting that this formulation corresponds to that of temporal factors in sound fields. Next, relationships between the subjective preference and the factors extracted from the autocorrelation function (ACF) and the cross-correlation (CCF) of the EEG and MEG alpha waves were investigated. Remarkably, preferred stimulus shows a significantly longer effective duration of the ACF, Ï„e, of the alpha waves than that of less preferred stimulus. This tendency was also found in previous studies that varied the delay time of a single sound reflection and the reverberation time of a music sound field. Also, the preferred stimulus shows a significantly greater magnitude of the CCF between the alpha waves from different locations on the brain. Thus, a similar rhythm repeats over a wider range of the brain, in both space and time, under a preferred condition.
Thesis advisor: Yoichi Ando
Copies of this thesis written in English can be obtained from Junko Atagi, 6813 Mosonou, Saijo-cho, Higashi-Hiroshima 739-0024, Japan. E-mail address: atagi\@urban.ne.jp.
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43.64.Bt Models and theories of the auditory system
43.75.Cd Music perception and cognition
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Handbook of Neural Network Signal Processing

Yu Hen Hu, Editor, Jeng-Neng Hwang, Editor, and Stuart W. Perry, Reviewer

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2525-2526 (2002); (2 pages)

Online Publication Date: 04 Jun 2002

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43.10.Hj Books and book reviews
43.60.-c Acoustic signal processing
84.35.+i Neural networks
07.05.Mh Neural networks, fuzzy logic, artificial intelligence
01.30.Kj Handbooks, dictionaries, tables, and data compilations
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Thermoacoustic bi-static sonar system (P)

Harvey C. Woodsum

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2527-2527 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.30.Nb Noise in water; generation mechanisms and characteristics of the field

Sonar location monitor (P)

Benjamin K. Miller, Jr.

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2527-2527 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.30.Tg Navigational instruments using underwater sound

Acoustic sensor module design and fabrication process (P)

Eric Lee Goldner and Joseph Scott Salinas

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2527-2528 (2002); (2 pages)

Online Publication Date: 04 Jun 2002

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43.30.Yj Transducers and transducer arrays for underwater sound; transducer calibration

Apparatus for ultrasonic bone treatment (P)

Roger J. Talish

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2528-2528 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Wa Biological effects of ultrasound, ultrasonic tomography

Ultrasonic strain gage using a motorized electromagnetic acoustic transducer (P)

Alfred V. Clark

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2528-2528 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Ultrasonic diagnostic apparatus capable of functional addition (P)

Yoshiyuki Okuno and Masahiko Gondoh

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2528-2528 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Method and apparatus for medical procedures using high-intensity focused ultrasound (P)

Roy W. Martin

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2528-2528 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Ultrasonic method for indicating a rate of perfusion (P)

George A. Brock-Fisher and Mckee D. Poland

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2528-2528 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Medical diagnostic ultrasound system and method for post processing (P)

John A. Hossack

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2529-2529 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Ultrasonic apparatus and method for evaluation of bone tissue (P)

Garri Passi

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2529-2529 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Method and apparatus for automatic setting of sample gate in pulsed Doppler ultrasound imaging (P)

Lihong Pan

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2529-2529 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Method and apparatus for ultrasound corneal scanning (P)

D. Jackson Coleman

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2529-2529 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Ultrasound color flow adaptive scanning techniques (P)

David John Muzilla and Theodore Lauer Rhyne

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2529-2529 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Ultrasound based quantitaive motion measurement using speckle size estimation (P)

James D. Hamilton

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2530-2530 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Inclination angle detecting device for an ultrasound probe (P)

Hiroshi Nagai

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2530-2530 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Pick-up head for an electronic stethoscope (P)

Birger Orten

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2530-2530 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.35.Yb Ultrasonic instrumentation and measurement techniques

Acoustic wave transducer device (P)

Andre John Van Schyndel

J. Acoust. Soc. Am. Volume 111, Issue 6, pp. 2531-2531 (2002); (1 page)

Online Publication Date: 04 Jun 2002

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43.38.Ar Transducing principles, materials, and structures: general
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