• Membrane and Water Treatment
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• 제13권5호
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• pp.219-225
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• 2022

5th Assessment Report of the Intergovernmental Panel on Climate Change Weather (AR5) predicts that recent severe hydrological events will affect the quality of water and increase water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed, and solar radiation) were compiled into a representative concentration curve (RC), defined using 8.5. AR5 and future use are calculated based on land use. Semi-distributed emission model Calculate emissions for each target period. Meteorological factors affecting water quality (precipitation, temperature, and flow) were input into a multiple linear regression (MLR) model and an artificial neural network (ANN) to analyze the data. Extensive experimental studies of flow properties have been carried out. In addition, an Acoustic Doppler Velocity (ADV) device was used to monitor the flow of a large open channel connection in a wastewater treatment plant in Ho Chi Minh City. Observations were made along different streams at different locations and at different depths. Analysis of measurement data shows average speed profile, aspect ratio, vertical position Measure, and ratio the vertical to bottom distance for maximum speed and water depth. This result indicates that the transport effect of the compound was considered when preparing the hazard analysis.

• Earthquakes and Structures
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• 제24권1호
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• pp.1-9
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• 2023

A model for calculating structure interacted mechanics is proposed. A structural interaction model and controller design based on tuned mass damping (TMD) was developed to control the induced vibration. A key point is to introduce a new analytical model to evaluate the properties of the TMD that recognizes the motion-dependent nonlinear response observed in the simulations. Aiming at the problem of increased current harmonics and low efficiency of permanent magnet synchronous motors for electric vehicles due to dead time effect, a dead time compensation method based on neural network filter and current polarity detection is proposed. Firstly, the DC components and the higher harmonic components of the motor currents are obtained by virtue of what the neural network filters and the extracted harmonic currents are adjusted to the required compensation voltages by virtue of what the neural network filters. Then, the extracted DC components are used for current polarity dead time compensation control to avert the false compensation when currents approach zero. The neural network filter method extracts the required compensation voltages from the speed component and the current polarity detection compensation method obtains the required compensation voltages by discriminating the current polarity. The combination of the two methods can more precisely compensate the dead time effect of the control system to improve the control performance. Furthermore, based on the relaxed method, the intelligent approach of stability criterion can be regulated appropriately and the artificial TMD was found to be effective in reducing cross-wind vibrations.

• Geomechanics and Engineering
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• 제33권1호
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• pp.113-120
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• 2023

Coastal and offshore structures such as ports and offshore wind farms will often need to be built on fine-grained sediments. Geotechnical properties associated with sediment compressibility are key parameters for marine construction designs especially on soft grounds, which involve clay-mineral dominated fines that can consolidate and settle significantly in response to engineered and environmental loads. We conduct liquid limit tests and 1D consolidation tests with fine-grained soils (silica silt, mica, kaolin and bentonite) and biogenic soils (diatom). The pore fluids for the liquid limit tests include deionized water and a series of brines with NaCl salt concentrations of 0.001 m, 0.01 m, 0.1 m, 0.6 m and 2.0 m, and the pore fluids for the consolidation tests deionized water, 0.01 m, 0.6 m, 2 m. The salt concentrations help the liquid limits of kaolin and bentonite decrease, but those of diatom slightly increase. The silica silt and mica show minimal changes in liquid limit due to salt concentrations. Accordingly, compression indices of soils follow the trend of the liquid limit as the liquid limit determined the initial void ratio of the consolidation test. Diatoms are more likely to be broken than clastic sediments during to loading, and diatom-rich sediment is therefore generally more compressible than clastic-rich sediment.

• 천문학회보
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• 제44권2호
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• pp.37.1-37.1
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• 2019

We perform Lyα radiative transfer calculations for reproducing Lyα properties of star-forming galaxies at high redshifts. We model a galaxy as a halo in which the density distributions of Lyα sources and HI plus dust medium are described with exponential functions. We also consider an outflow of the medium that represents a momentum-driven wind in a gravitational potential well. We demonstrate that this outflowing halo model with Lyα scattering can successfully reproduce both the spectrum and the surface brightness profile of eight star-forming galaxies at z=3-6 observed with MUSE. The best-fit model parameters (i.e., the outflowing velocity and optical depth) for these galaxies are in good agreement with other studies. We also demonstrate benefits of using spectrum and surface brightness profile simultaneously to the constraints on model parameters and thus spatial/kinematic distributions of medium. We examine the impacts of individual model parameters and intrinsic spectrum on emerging spectrum and surface brightness profile. Further investigations on the escape fraction, spatially resolved spectra, and the spatial extent of Lyα halos are presented as well.

• 한국가시화정보학회지
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• 제21권2호
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• pp.83-90
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• 2023

The shape of an airfoil is a critical factor in determining aerodynamic characteristics such as lift and drag. Aerodynamic properties of an airfoil have a decisive impact on the performance of various engineering applications, including airplane wings and wind turbine blades. Therefore, it is essential to analyze the aerodynamic characteristics of airfoils. Various analytical tools such as experiments, computational fluid dynamics, and Xfoil are used to perform these analyses, but each tool has its limitation. In this study, airfoil parameterization, image recognition, and artificial intelligence are combined to overcome these limitations. Image and coordinate data are collected from the UIUC airfoil database. Airfoil parameterization is performed by recognizing images from image data to build a database for deep learning. Trained model can predict the aerodynamic characteristics not only of airfoil images but also of sketches. The mean absolute error of untrained data is 0.0091.

• Wind and Structures
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• 제38권2호
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• pp.147-160
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• 2024

The aerodynamic force is a significant component that influences the stability and safety of structures. It has unstable properties and depends on computer precision, making its long-term prediction challenging. Accurately estimating the aerodynamic traits of structures is critical for structural design and vibration control. This paper establishes an unsteady aerodynamic time series prediction model using Long Short-Term Memory (LSTM) network. The unsteady aerodynamic force under varied Reynolds number and angles of attack is predicted by the LSTM model. The input of the model is the aerodynamic coefficients of the 1 to n sample points and output is the aerodynamic coefficients of the n+1 sample point. The model is predicted by interpolation and extrapolation utilizing Unsteady Reynolds-average Navier-Stokes (URANS) simulation data of flow around a circular cylinder, square cylinder and airfoil. The results illustrate that the trajectories of the LSTM prediction results and URANS outcomes are largely consistent with time. The mean relative error between the forecast results and the original results is less than 6%. Therefore, our technique has a prospective application in unsteady aerodynamic force prediction of structures and can give technical assistance for engineering applications.

• 한국자원식물학회지
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• 제37권3호
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• pp.235-246
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• 2024

We studied antioxidant activities of Vaccinium oldhamii Miq. from 11 regions in South Korea and blueberries, domestically produced and imported. Correlation analysis between V. oldhamii habitats, environmental factors, and antioxidant properties was conducted. DPPH RC50 values ranged from 220.44 to 902.38㎍/mL, ABTS from 524.29 to 1230.97 ㎍/mL, and FRAP from 1783.71 to 2235.78 ㎛ Fe (II)/g. V. oldhamii from Gumi showed highest DPPH activity, Taean and Haenam for ABTS, and Gimcheon for FRAP. V. oldhamii exhibited superior antioxidant activities compared to blueberries. Meteorological conditions correlated positively with ABTS and DPPH activities, negatively with wind speed and humidity affecting DPPH and phenolic, flavonoid, and anthocyanin contents. Based on these findings, it is suggested that V. oldhamii fruits collected from Gimcheon and Gumi regions can be effectively utilized as natural antioxidants derived from plant materials.

• 한국구조물진단유지관리공학회 논문집
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• 제10권6호
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• pp.113-123
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• 2006

사장교가 장경간으로 시공됨에 따라 대형화 되고 지진하중, 풍하중 및 차량하중 등 동적 하중에 의해 유발되는 진동현상에 취약한 단점이 나타난다. 이러한 하중 등에 의해 발생된 구조 손상은 구조물의 진동모드 특성에 영향을 미치게 된다. 기존의 정밀안전진단 기술을 이용하여 사장교의 구조 손상을 검색하고 평가하는 것은 상당한 비용과 시간이 소요될 뿐만 아니라 전체적인 구조거동 특성의 변화를 발견하기 어려울 것이다. 따라서 본 연구는 사장교에 대하여 구조손상 전의 진동모드 특성치와 구조손상 후의 진동모드 특성치를 이용하여 구조거동 특성의 변화를 검토하고 구조손상 검색을 수행하였다.

• 한국식품과학회지
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• 제32권5호
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• pp.1128-1134
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• 2000

본 연구는 해풍에서 반건조된 꽁치(Cololabis seira)로 만든 과메기에 대한 감마선 조사에 의한 품질 특성을 평가하기 위해 수행되었다. 과메기의 가식부위를 준비하여, 진공포장하고, 3과 5 kGy에서 각각 감마선을 조사한 후 $5^{\circ}C$에 저장하였다. VBN및 TMA 함량은 조사직후 차이는 없었고, 저장 중 감마선 조사선량이 증가할수록 함량의 증가가 억제되는 것으로 나타났다. 조사직후 TBA는 모든 처리구에서 차이가 없었고 저장 중 증가하였으나, 감마선 조사에 의한 영향은 없었다. 휘발성 향기성분은 감마선 조사에 의해 전체적인 함량이 줄어들었다. 과메기의 물성은 감마선 조사구의 경우 저장 60일째에도 물성을 그대로 유지하였으나, 비조사구는 저장 중 연화되는 것으로 나타났다. 관능평가결과 조사직 후 감마선 조사구와 비조사구의 차이가 없었고, 감마선 조사구가 저장 60일째까지 관능적으로 품질이 유지되는 것으로 나타났다. 따라서 과메기에 대한 감마선 조사는 과메기의 품질을 유지시키는 효과적인 방법이라 할 수 있다.

• 한국토양비료학회지
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• 제51권1호
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• pp.16-27
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• 2018

To predict the influence of volcano eruption on agriculture in South Korea we evaluated the dispersal ranges of the volcanic ashes toward the South Korea based on the possibilities of volcano eruption in Mt. Baekdu. The possibilities of volcano eruption in Mt. Baekdu have been still being intensified by the signals including magmatic unrest of the volcano and the frequency of volcanic earthquakes swarm, the horizontal displacement and vertical uplift around the Mt. Baekdu, the temperature rises of hot springs, high ratios of $N_2/O_2$ and $_3He/_4He$ in volcanic gases. The dispersal direction and ranges and the predicted amount of volcanic ash can be significantly influenced by Volcanic Explosivity Index (VEI) and the trend of seasonal wind. The prediction of volcanic ash dispersion by the model showed that the ash cloud extended to Ulleung Island and Japan within 9 hours and 24 hours by the northwestern monsoon wind in winter while the ash cloud extended to northern side by the south-east monsoon wind during June and September. However, the ash cloud may extent to Seoul and southwest coast within 9 hours and 15 hours by northern wind in winter, leading to severe ash deposits over the whole area of South Korea, although the thickness of the ash deposits generally decreases exponentially with increasing distance from a volcano. In case of VEI 7, the ash deposits of Daejeon and Gangneung are $1.31{\times}10^4g\;m^{-2}$ and $1.80{\times}10^5g\;m^{-2}$, respectively. In addition, ash particles may compact close together after they fall to the ground, resulting in increase of the bulk density that can alter the soil physical and chemical properties detrimental to agricultural practices and crop growth.