• The Journal of the Acoustical Society of Korea
• /
• v.43 no.1
• /
• pp.95-102
• /
• 2024

Due to technological advances, the cruising speed of high-speed trains is increasing, and aerodynamic noise generated from the flow outside the train has been an important consideration in the design stage. To accurately predict the flow-induced noise, high-resolution generation of sound sources in the near field and low-dissipation of sound propagation in the far field are required. This should be accompanied by a numerical grid and time resolution that can properly consider both temporal and spatial scales for each component of the real high-speed train. To overcome these challenges, this research simultaneously calculates the external flow and acoustic fields of five high-speed train cars of real-scale and at operational running speeds using a threedimensional unsteady Large Eddy Simulation technique. To verify the numerical analysis, the measurements of the wall pressure fluctuation and numerical results are compared. The Ffowcs Williams and Hawking equation is used to predict the acoustic power radiated from the high-speed train. This research is expected to contribute to noise reduction based on the analysis of the aerodynamic noise generation mechanism of high-speed trains.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.1
• /
• pp.103-111
• /
• 2024

Axial-flow fans are used to transport fluids in relatively low-pressure flow regimes, and a variety of design variables are employed. The tip geometry of an axial fan plays a dominant role in its flow and noise performance, and two of the most prominent flow phenomena are the tip vortex and the tip leakage vortex that occur at the tip of the blade. Various studies have been conducted to control these three-dimensional flow structures, and winglet geometries have been developed in the aircraft field to suppress wingtip vortices and increase efficiency. In this study, a numerical and experimental study was conducted to analyze the effect of winglet geometry applied to an axial fan blade for an air conditioner outdoor unit. The unsteady Reynolds-Averaged Navier-Stokes (RANS) equation and the FfocwsWilliams and Hawkings (FW-H) equation were numerically solved based on computational fluid dynamics techniques to analyze the three-dimensional flow structure and flow noise numerically, and the validity of the numerical method was verified by comparison with experimental results. The differences in the formation of tip vortex and tip leakage vortex depending on the winglet geometry were compared through a three-dimensional flow field, and the resulting aerodynamic performance was quantitatively compared. In addition, the effect of winglet geometry on flow noise was evaluated by numerically simulating noise based on the predicted flow field. A prototype of the target fan model was built, and flow and noise experiments were conducted to evaluate the actual performance quantitatively.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.1
• /
• pp.29-38
• /
• 2024

The Matched Field Processing (MFP) is an estimation method for a source range and depth based on the prediction of sound propagation. However, as the frequency increases, the prediction inaccuracy of sound propagation increases, making it difficult to estimate the source position. Recently proposed, the Frequency-Difference Matched Field Processing (FD-MFP) is known to be robust even if there is a mismatch by applying a frequency-difference autoproduct extracted from the auto-correlation of a high frequency signal. In this paper, in order to evaluate the performance of the FD-MFP using a horizontal line array, simulations were conducted in the environment of the East Sea of Korea. In the area of Bottom Bounce (BB) and Convergence Zone (CZ) where detection of a sound source is possible at a long range, and the results of localization were analyzed. According to the the FD-MFP simulations of horizontal line array, the accuracy of localization is similar or degraded compared to the conventional MFP due to diffracted field and mismatch of sound speed. There was no clear result from the simulations conforming that the FD-MFP was more robust to mismatch than the conventional MFP.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.1
• /
• pp.39-48
• /
• 2024

A car horn serves a crucial safety role as a means of communication between drivers and a part that alerts pedestrians in advance. While previous studies have utilized finite element method and electric circuit model to simulate and analyze characteristics of the car horns, there remains a lack of research on design methods of a trumpet horn. This paper presents a design approach that predicts the operating frequency based on the acoustic reactance at the throat of the horn, once the vibrating part is determined. We deal with a horn combining both an exponential horn and a waveguide in the acoustic section, and confirm that the acoustic reactance at the horn throat measured by impedance tube experiment agrees well compared with the numerical result obtained using the finite element method. The resonance frequency of the car horn is predicted using the COMSOL Multiphysics finite element numerical analysis model, and the proposed design method is validated by measuring the operating frequency of the designed horn in a sound pressure experiment. As a result, the resonance measured in a semi-anechoic chamber environment by applying a DC voltage of 12 [V] excluding the holder occurs accurately within a few [Hz] of the design operating frequency. This paper discuss the design method of a trumpet horn from the perspective of the horn's acoustic reactance, and is expected to be useful for designing horn systems.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.1
• /
• pp.78-88
• /
• 2024

Ship-radiated noise received by passive sonar that can measure underwater noise can be identified and classified ship using Detection of Envelope Modulation on Noise (DEMON) analysis. However, in a low Signal-to-Noise Ratio (SNR) environment, it is difficult to analyze and identify the target frequency line containing ship information in the DEMONgram. In this paper, we conducted a study to extract target frequency lines using semantic segmentation among deep learning techniques for more accurate target identification in a low SNR environment. The semantic segmentation models U-Net, UNet++, and DeepLabv3+ were trained and evaluated using simulated DEMONgram data generated by changing SNR and fundamental frequency, and the DEMONgram prediction performance of DeepShip, a dataset of ship-radiated noise recordings on the strait of Georgia in Canada, was compared using the trained models. As a result of evaluating the trained model with the simulated DEMONgram, it was confirmed that U-Net had the highest performance and that it was possible to extract the target frequency line of the DEMONgram made by DeepShip to some extent.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.4
• /
• pp.414-421
• /
• 2024

In this paper, we design and verify a system that can detect piping leakage noise in an environment with significant reverberation and reflection using a multi-channel acoustic sensor module as a technology to prevent major plant accidents caused by leakage. Four-channel microphones arranged in a tetrahedron are designed as a single sensor module to measure three-dimensional sound intensity vectors. In an environment with large effects of reverberation and reflection, the measurement error of each sensor module increases on average, so after placing multiple sensor modules in the field, measurement results showing locations with large errors due to effects such as reflection are excluded. Using the intersection between three-dimensional vectors obtained from several pairs of sensor modules, the coordinates where the sound source is located are estimated, and outliers (e.g., positions estimated to be outside the site, positions estimated to be far from the average position) are detected and excluded among the points. For achieving aforementioned goal, an excluding algorithm by deciding the outliers among the estimated positions was proposed. By visualizing the estimated location coordinates of the leakage sound on the site drawing within 1 second, we construct and verify a system that can detect the location of the leakage sound in real time and enable immediate response. This study is expected to contribute to improving accident response capabilities and ensuring safety in large plants.

• Journal of Preventive Medicine and Public Health
• /
• v.21 no.1 s.23
• /
• pp.10-20
• /
• 1988

This study was conducted to compare the maternal charactristics, and birth weight of infants delivered at five different categories of medical facility in Taegu to examine the risk level of pregnant women and children by the medical facility for delivery. The study population included 1,410 pregnant women who delivered a baby at one of nine medical facilities (3 university hospitals, 2 general hospitals, 2 private clinics, 1 midwife clinic, 1 MCH center) in Taegu in April, 1987(April and May, 1987 for K university hospital), Pregnant women were interviewed to ask the age and educational level of woman, payment of medical fee, birth order, delivery method. Birth weight of infant was obtained from medical record. Mean ages of the women delivering at the university hospitals(27.5 years) and at general hospitals(26.7 years) were higher than those at midwife clinic(25.4 years) and at MCH center(26.1 years). Also, mean years of school education were higher in women of university hospitals(12.7 years) and general hospitals (12.2 years) than in women of midwife clinic(9.2 years) and MCH center (9.3 years). The percentages of women covered by the medical insurance were far greater in the university hospitals(78.1%) and general hospitals(82.9%) than in private clinics(44.3%) , midwife clinic(29.1%) and MCH center (5.4%). Infants born at the MCH center were mostly the second birth (47.3%) while 56.0% to 61.7% of infants born at all the other medical facilities were the first birth more women delivering at the university hospitals had history of spontaneous abortion as well as still birth than the women delivering at the other medical facilities. The preform birth rate (11.4%) and low birthweight incidence rates(5.8-13.0%) in university hospitals were significantly higher than those of other medical facilities. Accordingly, c-section rates showed a wide variation among the medical facilities. Study findings revealed that most of women delivering at the university hospitals and general hospitals are in the middle of or upper socio-economic class and obstetrically high risk group regardless of socioeconomic class while the wome delivering at the midwife clinic and MCH center are low risk group of low socioeconomic class. Therefore, the data of a specific medical facility are highly limited in interpretation and can not be generalized.

• The Journal of the Acoustical Society of Korea
• /
• v.42 no.6
• /
• pp.603-616
• /
• 2023

In this study, machine learning-based clustering and classification of residential noise in apartment buildings was conducted using frequency and temporal characteristics. First, a residential noise source dataset was constructed . The residential noise source dataset was consisted of floor impact, airborne, plumbing and equipment noise, environmental, and construction noise. The clustering of residential noise was performed by K-Means clustering method. For frequency characteristics, L_eq and L_max values were derived for 1/1 and 1/3 octave band for each sound source. For temporal characteristics, Leq values were derived at every 6 ms through sound pressure level analysis for 5 s. The number of k in K-Means clustering method was determined through the silhouette coefficient and elbow method. The clustering of residential noise source by frequency characteristic resulted in three clusters for both L_eq and L_max analysis. Temporal characteristic clustered residential noise source into 9 clusters for L_eq and 11 clusters for L_max. Clustering by frequency characteristic clustered according to the proportion of low frequency band. Then, to utilize the clustering results, the residential noise source was classified using three kinds of machine learning. The results of the residential noise classification showed the highest accuracy and f1-score for data labeled with L_eq values in 1/3 octave bands, and the highest accuracy and f1-score for classifying residential noise sources with an Artificial Neural Network (ANN) model using both frequency and temporal features, with 93 % accuracy and 92 % f1-score.

• The Journal of the Acoustical Society of Korea
• /
• v.39 no.6
• /
• pp.606-614
• /
• 2020

In this paper, we analyze the influences of ship traffic and marine weather information on underwater ambient noise. Ambient noise is an important environmental factor that greatly affects the detection performance of underwater sonar systems. In order to implement an automated system such as prediction of detection performance using artificial intelligence technology, which has been recently studied, it is necessary to obtain and analyze major data related to these. The main sources of ambient noise have various causes. In the case of sonar systems operating in offshore seas, the detection performance is greatly affected by the noise caused by ship traffic and marine weather. Therefore, in this paper, the impact of each data was analyzed using the measurement results of ambient noise obtained in coastal area of the East Sea of Korea, and public data of nearby ship traffic and ocean weather information. As a result, it was observed that the underwater ambient noise was highly correlated with the change of the ship's traffic volume, and that marine environment factors such as wind speed, wave height, and rainfall had an effect on a specific frequency band.

• Journal of Fisheries and Marine Sciences Education
• /
• v.13 no.1
• /
• pp.99-116
• /
• 2001

Testing is a procedure used to measure a sample of behaviour in order to discover how well a seafarer performs, usually in comparison with others, or compared with identified performance criteria. In this context It is important that the test, in whatever form it is being used, yields consistent results by being valid, reliable and practical. Whilst we can only take a sample of a person's knowledge or comprehension about topic in this way, testing methods do provide a more reliable estimate of performance than most other observational techniques; unsystematic or irregular observation being too unreliable. The method of examination has been specified in the provisions of Regulation 12 of the Decree of the ship officers act as followings. Other necessary matters for conducting oral and written examinations have been set out by the Minister. But written examination is too shortage of period and small number of question to cover the qualification of each level and oral test is just simple and namely Traditionally, written examinations have been provided as the only means for determining the acquisition of knowledge by the mariner. Typically, the examination formats have taken the format of either an essay or multiple choice examinations. Essay items, used in the vast majority of subject examination(not in Korea), consisted of three basic types: situational, descriptive and computational. The level of certificate being examined determined the number and mix of the type of essay questions selected. Oral question has again been used by assessors of seafarer in a wide variety of contexts. Also, oral questioning is often used when observation of performance is undertaken to ask why a certain action has been taken, or to be broaden the scope of what has been observed. At end, Each techniques have their own advantage and disadvantage, so we have to choose some or all of the following techniques, depending upon the certificate, qualification or job for which the trainee is aiming. But in high lank, we have to use both of essay type and multiple choice and with enough time of oral test at least 30 minutes. Who would be the assessor? According to the STCW Code Section A-I/6, instructors, supervisor and assessors are appropriately qualified for particular types and levels of training or assessment of competence of seafarers either on board or ashore, as required under the Convention, in accordance with the provisions of this section.