Noises in each construction field cause residents in the neighborhood to make complaints due to their high sound pressure level and repetitive, shocking sound. While South Korea regulates construction noises on the basis of legal criteria to minimize the damage from the noises, the regulation only involves a weighted sound level (dB(A)), which is loudness, like other types of noises. It is therefore necessary to make typology of construction noise sources and evaluation vocabularies with the objective of making criteria for regulating construction noises suitable for the South Korean situation. While research based on a survey has been conducted to make typology of construction noise sources and evaluation vocabularies, there have been lots of difficulties in using it to make criteria for regulation because no consideration was given to psychological responses of people. On the basis of the findings from literature review, this study aimed to make typology of construction noise sources and vocabularies through a psycho-acoustic experiment and analyze the psychological characteristics and meanings of construction noises more accurately. The respondents’ psychological responses to construction noise sources were grouped into three factors ‘normal, shocking, and fluctuating noises’ and into ― ― six factors ‘annoying,’ ‘loud,’ ‘confusing,’ ‘noisy,’ ‘alarming,’ and ‘boisterous’ in terms of evaluation ― ― vocabularies. Since the factor with the biggest eigenvalue drawn from the respondents’ psychological responses is most important, the most important influential factor in evaluating construction noises was ‘normal noises’ for construction noise sources and ‘annoyance’ for evaluation vocabularies. This typology is expected to be useful to make and revise criteria for regulating construction noises.

A study of fracture to material is getting interest in nuclear and aerospace industry as a viewpoint of safety. Acoustic emission (AE) is a non-destructive testing and new technology to evaluate safety on structures. In previous research continuously, all tensile tests on the pre-defected coupons were performed using the universal testing machine, which machine crosshead was move at a constant speed of 5mm/min. This study is to evaluate an AE source characterization of SM45C steel by using k-nearest neighbor classifier, k-NNC. For this, we used K-means clustering as an unsupervised learning method for obtained multi -variate AE main data sets, and we applied k-NNC as a supervised learning pattern recognition algorithm for obtained multi-variate AE working data sets. As a result, the criteria of Wilk's λ, D&B(Rij) & Tou are discussed.

Parametric 음원을 어탐에 응용하기 위한 기초연구로써 본 실험에서는 parametric 음원의 특성을 조사하고 이 음원으로 어체에 대한 표적 강도를 측정하여 그 결과를 200KHz의 단일주파수 음원으로 측정한 결과와 비교.검토하였다. 그 결과를 요약하면 다음과 같다. 1. 200KHz인 단일주파수로 구동할 때의 지향각은 5.0˚였고, parametric 음원의 주파수가 5KHz, 10KHz, 16KHz, 20KHz일 때의 지향각은 각각 4.3˚, 2.2˚, 3.0˚, 2.5˚로서 주파수 저감비가 감소할수록 지향각이 예리하였으며 부엽은 전혀 나타나지 않았다. 2. parametric 음원의 주파수가 5KHz, 10KHz, 16KHz, 20KHz일 때의 음파변환효율은 각각 0.9%(Parametric 이득은 -41dB), 0.55%(parametric 이득은 -45dB), 0.1%(parametric 이득은 -60 dB), 0.04%(parametric 이득은 -68 dB)로 주파수 저감비가 감소할수록 음파변환효율은 급격히 낮아졌다. 3. parametric 음원으로 측정한 어체의 표적강도는 200KHz의 단일주파수 음원으로 측정한 표적강도에 비하여 단일어체일 때는 머리부분과 꼬리부분에서 5 dB씩 낮았으며 어체수가 2~3마리 일때는 머리부분과 꼬리부분에서 1~3 dB 정도 낮았으나 측면부분은 비슷하였다

Acoustic signal is crucial for the autonomous navigation of underwater vehicles. For this purpose, this paper presents a method of acoustic source localization. The proposed method is based on the probabilistic estimation of time delay of acoustic signals received by two hydrophones. Using Bayesian update process, the proposed method can provide reliable estimation of direction angle of the acoustic source. The acquired direction information is used to estimate the location of the acoustic source. By accumulating direction information from various vehicle locations, the acoustic source localization is achieved using extended Kalman filter. The proposed method can provide a reliable estimation of the direction and location of the acoustic source, even under for a noisy acoustic signal. Experimental results demonstrate the performance of the proposed acoustic source localization method in a real sea environment.