One of the important advantages of Thermosonics is that it can be applied to complex structures such as a turbine blade as a convenient and quick screening test method. For a reliable thermosonic test, the vibrational characteristics of the system comprising the tested structure and the clamp at ultrasonic frequency range should be identified. Therefore, this study presented the analysis results of frequency response functions and mode shapes of the turbine blade and clamp system and investigate the possibility of the reliable excitation system for the thermosonic test.

Acoustic surveys using a scientific echosounder and trawl surveys were concurrently carried out in between Geoje and Tongyeong of the South Sea by season. The anchovy schools were identified by trawling in each station and used for frequency response analysis. Frequency responses of anchovy schools by season and species composition ratio were examined using multi-frequencies (18, 38, 70, 120 and 200 kHz). The frequency response r(f), is one of the acoustic characteristics which means the volume back-scattering strength ratio between a reference frequency and other frequencies. In spring, the r(f) of anchovy schools decreased with increased frequency, with the exception of 120kHz. While, in winter, the r(f) continuously decreased inversely proportional to the increase in frequency. Frequency response of anchovy schools presented a distinctive difference between spring and winter, however it did not different in spife of different species composition ratios in schools.

According to natural frequency of soil, characteristics of earthquake responses of an isolated containment building in nuclear power plants are examined. For this, earthquake response analysis of seismically isolated containment buildings in nuclear power plants is carried out by strictly considering soil-structure interactions. The structure and near-field soil are modeled by the finite element method while far-field soil by consistent transmitting boundary. The equation of motion of a soil-structure interaction system under incident seismic wave is derived. The derived equations of motion are solved to carry out earthquake analysis of a seismically isolated soil-structure system. Generally, the results of this analysis show that seismic isolation significantly reduces the responses of the soil-structure system. However, if the natural frequency of the soil is similar to that of the soil-structure system, the responses of the containment buildings in nuclear power plants rather increases due to interactions in the system.

저주파소음(low frequency noise; LFN)은 인체의 다양한 기관과 정신적 상태에 영향을 미치며, 진동음향질환(vibroacoustic disease; VAD)같은 질병들을 야기 시킨다 이전의 연구에서는 인간 또는 설치류에서 VAD는 우울증 또는 불안장애와 같은 만성적인 정신 건강에 위험을 미친다고 보고되고 있다. 본 연구에서는 LFN이 스트레스의 신경생리적 반응에 미치는 영향을 규명하고자 하였다. 이를 위하여, LFN에 노출된 흰쥐에서 스트레스 반응에 중요한 역할을 하는 paraventricular nucleus of the hypothalamus(PVN)에서 초기발현유전자인 c-fos 양성세포 발현, locus coeruleus(LC)에서 NE 생성 효소인 tyrosine hydroxylase(TH) 양성세포 발현과 스트레스 호르몬의 농도를 측정하였다. LFN 집단은 각각 32.5Hz 와 125Hz를 하루에 4시간씩 이틀 동안 소음에 노출 하였으며, 정상집단은 소음에 노출되지 않도록 하였다. 저주파소음에 노출 후 집단 간 혈액내 코르티코스테론 분석과, 면역 조직염색법을 이용하여 스트레스에 반응하는 PVN에서 c-fos발현과, LC에서 TH를 분석한 결과, PVN에서는 c-fos 의 발현과 LC에서 TH의 발현이 증가됨을 관찰할 수 있었으며, 그리고 혈중 코르티코스테론의 농도 또한 LFN 집단에서 높게 발현됨을 확인 하였다. 그리고 32.5Hz보다 125Hz의 소음에서 면역염색반응과 코르티코스테론의 결과가 다소 높게 나타남을 알 수 있었다. 이러한 결과는 저주파소음에 의해 스트레스와 연관된 뇌의 부위에서 c-Fos와 TH의 발현이 증가됨을 증명하고 있다. 따라서 저주파소음은 일반적인 스트레스에 의한 반응과 비슷한 신경적 특징들을 보여주고 있다. 그리고 저주파소음에 의한 중추, 말초신경계의 활성화는 아마도 진동음향질환과 같은 행동장애 질병과 관련이 있을 것임을 시사한다.

This paper presents a convolutional neural network to automatically conduct the peak picking in frequency domain of structural responses. The peaks in frequency domain have a high potential to be the natural frequencies, which are one of the important indicator to be used for structural health monitoring purposes, such as damage detection, cable tension estimation, and finite element model updating. In general, the peaks with the corresponding natural frequencies are manually selected by the users from the frequency domain. Although this previous approach is possible to simply extract the candidate of natural frequencies, it is inappropriate in the practical applications of the long-term monitoring and the implementation for wireless smart sensor. To overcome the drawbacks, this study proposes the convolutional neural network that can automatically identify the peaks with the corresponding natural frequencies from the frequency domain of structural responses.

Frequency-adaptive Lumped Mass Stick (LMS) method has been proposed recently to present the dynamic responses of a structure by a stick model which has identical frequencies to the original structure. The masses of the LMS model are obtained by an iterative method following a sequence of equations, where the masses always converge to certain values. Those values are solutions of a nonlinear equations system as will be shown in this study. This paper also investigates the significance of masses locations on the dynamic responses of the LMS models.

This study was carried out to investigate growth characteristics of plants in accordance with irrigation period and to find the optimum irrigation conditions for plants that help to improve the indoor environment. Four foliage plants used in this study included Chlorophytum comosum, Dieffenbachia amoena ‘Marianne’, Epipremnum aureum, and Spathiphyllum spp.. The plants cultivated in three different irrigation frequency: 2 times/week; 1 time/week; and 1 time/2 weeks. As a result, average soil moisture content of four foliage plants for one month measurement period, 2 times/week, 1 time/week, and 1 time/2 weeks were maintained at 47.3±3.0%, 17.3±2.0%, and 10±1.5%, respectively. All four kinds of plants showed a good visible growth in 1 time/week irrigation. Chlorophytum comosum was slowly begin to die in 1 time/2 weeks irrigation and it was completely dead at the end of the experiment. So it is considered that circumspection is needed for drying. Dieffenbachia amoena ‘Marianne’ was dead by each one pot in 2 times/week and 1 time/2 weeks.So it seemed to be a proper watering plants. Epipremnum aureum, and Spathiphyllum spp. showed good growth characteristics regardless of irrigation frequency, it showed good tolerance of the irrigation. In particular, Epipremnum aureum was no significant difference in SPAD value, chlorophyll fluorescence, and leaf water potential according to irrigation frequency, so it was the best plants to irrigation water management.