• Current Optics and Photonics
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• 제8권3호
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• pp.259-269
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• 2024

Optical imaging systems that operate through atmospheric pathways often suffer from image degradation, mainly caused by the distortion of light waves due to turbulence in the atmosphere. Adaptive optics technology can be used to correct the image distortion caused by atmospheric disturbances. However, there are challenges in conducting experiments with strong atmospheric conditions. An optical phase plate (OPP) is a device that can simulate real atmospheric conditions in a lab setting. We suggest a novel two-step process to fabricate an OPP capable of simulating the effects of atmospheric turbulence. The proposed fabrication method simplifies the process by eliminating additional activities such as phase-screen design and phase simulation. This enables an efficient and economical fabrication of the OPP. We conducted our analysis using the statistical fluctuations of the refractive index and applied modal expansion using Kolmogorov's theory. The experiment aims to fabricate an OPP with parameters D/r₀ ≈ 30 and r₀ ≈ 5 cm. The objective is defined with the strong atmospheric conditions. Finally, we have fabricated an OPP that satisfied the desired objectives. The OPP closely simulate turbulence to real atmospheric conditions.

• 펄프종이기술
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• 제38권5호
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• pp.60-65
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• 2006

The physical and mechanical properties of linerboard were shown to be affected by changing atmospheric conditions. Two atmospheric conditions were measured in order to investigate how they were affected by different atmospheric conditions on the physical and mechanical properties of domestic linerboard. The basis data set for the standardization research was provided in this study. It is confirmed that the relative humidity seemed to be a major factor on the quality deterioration of a linerboard. Experimental results have shown that the short span compression test (SCT) could be used to evaluate the quality characteristics of linerboardat different moisture content and relative humidity.

• Journal of Biosystems Engineering
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• 제41권4호
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• pp.337-341
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• 2016

Purpose: Evaluation of atmospheric conditions for proper timing of spray application is important to prevent off-target movement of crop protection materials. Susceptible crops can be damaged downwind if proper application procedure is not followed. In our previous study, hourly data indicated unfavorable conditions, primarily between evening 18:00 hrs in the evening and 6:00 hrs next morning, during clear conditions in the hot summer months in the Mississippi delta. With the requirement of timely farm operations, sub-hourly data are required to provide better guidelines for pilots, as conditions of atmospheric stability can change rapidly. Although hourly data can be interpolated to some degree, finer resolution for data acquisition of the order of 15 min would provide pilots with more accurate recommendations to match the data recording frequency of local weather stations. Methods: In the present study, temperature and wind speed data obtained at a meteorological tower were re-sampled to calculate the atmospheric stability ratio for sub-hour and hourly recommendations. High-precision evaluation of temperature inversion periods influencing atmospheric stability was made considering strength, time of occurrence, and duration of temperature inversion. Results and Discussion: The results indicated that atmospheric stability could be determined at different time intervals providing consistent recommendations to aerial applicators, thereby avoiding temperature inversion with minimal off-target drift of the sprayed liquid.

• 한국항해항만학회지
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• 제40권5호
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• pp.265-270
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• 2016

Extreme tropospheric anomalies such as typhoons or regional torrential rain can degrade positioning accuracy of the GPS signal. It becomes one of the main error terms affecting high-precision positioning solutions in network RTK. This paper proposed a detection algorithm to be used during atmospheric anomalies in order to detect the tropospheric irregularities that can degrade the quality of correction data due to network errors caused by inhomogeneous atmospheric conditions between multi-reference stations. It uses an atmospheric grid that consists of four meteorological stations and estimates the troposphere zenith total delay difference at a low performance point in an atmospheric grid. AWS (automatic weather station) meteorological data can be applied to the proposed tropospheric anomaly detection algorithm when there are different atmospheric conditions between the stations. The concept of probability density distribution of the delta troposphere slant delay was proposed for the threshold determination.

• 국제초고층학회논문집
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• 제11권4호
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• pp.331-346
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• 2022

Reproducing the horizontally homogeneous atmospheric boundary layer in computational wind engineering is essential for predicting the wind loads on structures. One of the important issues is to use fully developed inflow conditions, which will lead to the consistence problem between inflow condition and internal roughness. Thus, by analyzing the previous results of computational fluid dynamic modeling turbulent horizontally homogeneous atmospheric boundary layer, we modify the past hypotheses, detailly derive a new type of inflow condition for standard k-ε turbulence model. A group of remedial approaches including formulation for wall shear stress and fixing the values of turbulent kinetic energy and turbulent dissipation rate in first wall adjacent layer cells, are also derived to realize the consistence of inflow condition and internal roughness. By combing the approaches with four different sets of inflow conditions, the well-maintained atmospheric boundary layer flow verifies the feasibility and capability of the proposed inflow conditions and remedial approaches.

• 한국항해항만학회지
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• 제40권5호
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• pp.271-278
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• 2016

Localized atmospheric conditions between multi-reference stations can bring the tropospheric delay irregularity that becomes an error terms affecting positioning accuracy in network RTK environment. Imbalanced network error can affect the network solutions and it can corrupt the entire network solution and degrade the correction accuracy. If an anomaly could be detected before the correction message was generated, it is possible to eliminate the anomalous satellite that can cause degradation of the network solution during the tropospheric delay anomaly. An atmospheric grid that consists of four meteorological stations was used to detect an inhomogeneous weather conditions and tropospheric anomaly applied AWSs (automatic weather stations) meteorological data. The threshold of anomaly detection algorithm was determined based on the statistical weather data of AWSs for 5 years in an atmospheric grid. From the analytic results of anomaly detection algorithm it showed that the proposed algorithm can detect an anomalous satellite with an anomaly flag generation caused tropospheric delay anomaly during localized atmospheric conditions between stations. It was shown that the different precipitation condition between stations is the main factor affecting tropospheric anomalies.

• 한국광학회지
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• 제31권6호
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• pp.247-258
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• 2020

본 논문에서는 대기외란에 따른 SPGD 위상제어 알고리즘 기반 결맞음 빔결합 시스템의 위상제어 동작성능을 논의한다. 대기의 외란에 대한 통계적 이론을 바탕으로 전산모사를 통해 대기외란에 의한 레이저빔의 위상 및 파면 왜곡에 대한 분석과 왜곡된 빔을 통해 얻게 되는 7채널 및 19채널 결맞음 빔결합 결과를 도출하고, 이를 통해 대기외란의 정도에 따른 빔결합 시스템의 위상제어 동작성능 및 효율을 수치적으로 비교분석한다. 분석 결과, 7채널 결맞음 빔결합의 경우, 대기외란 파라미터 cn2 값이 10-13 m-2/3 까지 증가한 상황에서도 SPGD 위상제어 알고리즘을 적절히 적용할 경우 90% 이상의 빔결합 효율로 시스템의 위상 잠금이 가능하다는 것을 확인하였다. 19채널 결맞음 빔결합의 경우, 동일한 대기외란 조건에서도 대기의 굴절률 비균질성(refractive index inhomogeneity)의 영향이 더 커서 빔결합 효율이 60% 수준으로 급격하게 감소할 수 있음을 확인하였다. 또한, 대기외란이 있는 상황에서 위상잠금시점까지 요구되는 알고리즘의 반복연산 횟수와 대기현상의 변화간격을 비교분석함으로써, 다채널 결맞음 빔결합 시스템이 ㎲의 간격을 가지는 대기외란 상황에서도 정상동작을 하기 위해서는 SPGD 위상제어 알고리즘의 연산대역폭이 수백 MHz에서 수 GHz까지 확장되어야 한다는 것을 확인하였다. 향후, 대기외란이 SPGD 위상제어 알고리즘 기반 결맞음 빔결합 시스템의 위상제어 동작성능에 미치는 영향을 정량적으로 분석하고 예측하는 데 있어서 본 논문의 결과가 유용하게 활용될 수 있을 것이라 기대된다.

• 한국식품과학회지
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• 제4권1호
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• pp.13-17
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• 1972

This experiment was conducted to observe the changes of composition of atmosphere in storage room by controlled ventilation under normal and sub-atmospheric conditions, and the biochemical changes in apple texture under these conditions. The results were as follows; 1) By controlled ventilation, concentration of carbon dioxide in storage room was optionally regulated and constantly maintained. 2) Among compositions of internal atmosphere of apple, especially, concentration of ethylene was much decreased at apple stored under sub-atmospheric condition than that stored under normal atmospheric condition. 3) Acidity of apple stored under sub-atmospheric condition was much greater than that of apple stored under normal atmospheric condition. 4) Respiratory quotients of apple, which was stored under normal and sub-atmospheric conditions, were shown to be high. But decarboxylation of added pyruvate was found more active in slices prepared from apple stored under sub-atmospheric condition.

• Asian Journal of Atmospheric Environment
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• 제12권1호
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• pp.47-58
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• 2018

The aim of this work is to investigate the effect of atmospheric stability on near-field pollutant dispersion from rooftop emissions of a single cubic building using computational fluid dynamics (CFD). This paper used the shear stress transport (here after SST) k-${\omega}$ model for predicting the flow and pollutant dispersion around an isolated cubic building. CFD simulations were performed with two emission rates and six atmospheric stability conditions. The results of the simulations were compared with the data from wind tunnel experiments and the result of simulations obtained by previous studies in neutral atmospheric condition. The results indicate that the reattachment length on the roof ($X_R$) obtained by computations show good agreement with the experimental results. However, the reattachment length of the rooftop of the building ($X_F$) is greatly overestimated compared to the findings of wind tunnel test. The result also shows that the general distribution of dimensionless concentration given by SST k-${\omega}$ at the side and leeward wall surfaces is similar to that of the experiment. In unstable conditions, the length of the rooftop cavity was decreased. In stable conditions, the horizontal velocity in the lower part around the building was increased and the vertical velocity around the building was decreased. Stratification increased the horizontal cavity length and width near surface and unstable stratification decreased the horizontal cavity length and width near surface. Maintained stability increases the lateral spread of the plume on the leeward surface. The concentration levels close to the ground's surface under stable conditions were higher than under unstable and neutral conditions.

• 대한원격탐사학회지
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• 제25권6호
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• pp.507-515
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• 2009

Land surface temperature (LST) is a key environmental variable in a wide range of applications, such as weather, climate, hydrology, and ecology. However, LST is one of the most difficult surface variables to observe regularly due to the strong spatio-temporal variations. So, we have developed the LST retrieval algorithm from COMS (Communication, Ocean and Meteorological Satellite) data through the radiative transfer simulations under various atmospheric profiles (TIGR data), satellite zenith angle (SZA), spectral emissivity, and surface lapse rate conditions using MODTRAN 4. However, the LST retrieval algorithm has a tendency to overestimate and underestimate the LST for surface inversion and superadiabatic conditions, respectively. To minimize the overestimation and underestimation of LST, we also developed day/night LST algorithms separately based on the surface lapse rate (local time) and recalculated the final LST by using the weighted sum of day/night LST. The analysis results showed that the quality of weighted LST of day/night algorithms is greatly improved compared to that of LST estimated by original algorithm regardless of the surface lapse rate, spectral emissivity difference (${\Delta}{\varepsilon}$) SZA, and atmospheric conditions. In general, the improvements are greatest when the surface lapse rate and ${\Delta}{\varepsilon}$ are negatively large (strong inversion conditions and less vegetated surface).