• Proceedings of the Korea Electromagnetic Engineering Society Conference
• /
• 2000.11a
• /
• pp.268-271
• /
• 2000

본 논문에서는 X-band의 10.5 GHz와 S-band의 2.38 GHz 두가지 주파수를 이용하여 곡물의 함수율 측정을 위한 마이크로파 송수신 장치를 설계 및 제작하였다. 측정 장치들의 핵심부품인 발진기, 송수신 패치안테나와 검파기는 HP EEsof ADS를 이용하여 설계하였으며 하이브리드 MIC형태로 제작하였다. 이 송수신 측정장치를 이용하여 측정된 데이터를 통계분석 프로그램으로 회귀 분석하여 밀도에 민감하지 않은 새로운 보정 모델을 제시하였다. 시료의 출력 전압을 독립변수로 한 함수율 측정 모델을 가지고 함수율의 예측값과 실측값을 비교한 결과 상관계수는 0.9276, 표준오차는 0.975 %로 나타나 산물밀도를 보정하면서 정확도가 높은 벼의 함수율 측정이 가능하였다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.24 no.12B
• /
• pp.2382-2390
• /
• 1999

In this paper, we employed a new quantization scheme called sample-adaptive product quantizer (SAPQ) to quantize image data based on the differential pulse code modulation (DPCM) coder, which has fixed length outputs and high bit rates. In order to improve the performance of traditional DPCM coders, the scalar quantizer should be replaced by the vector quantizer (VQ). As the bit rate increases, it will be nearly impossible to implement a conventional VQ or modified VQ, such as the tree-structured VQ, even if the modified VQ can significantly reduce the encoding complexity. SAPQ has a form of the feed-forward adaptive scalar quantizer having a short adaptation period. However, since SAPQ is a structurally constrained VQ, SAPQ can achieve VQ-level performance with a low encoding complexity. Since SAPQ has a scalar quantizer structure, by using the traditional scalar value predictors, we can easily apply SAPQ to DPCM coders. For synthetic data and real images, by employing SAPQ as the quantizer part of DPCM coders, we obtained a 2~3 dB improvement over the DPCM coders, which are based on the Lloyd-Max scalar quantizers, for data rates above 4 b/point.

• Proceedings of the Korean Society of Propulsion Engineers Conference
• /
• 2009.11a
• /
• pp.533-536
• /
• 2009

The power control system of Smart UAV is similar to the propeller pitch governing concept of turboprop aircraft. The pilot inputs the engine power directly and the pitch governor controls the rotational speed of proprotor. In this paper, the engine status data from ground test of Smart UAV, such as the relationship of PLA vs. Gas generator speed and power are compared with the result of engine performance calculation program.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.51 no.5
• /
• pp.386-395
• /
• 2006

The core questions for determining nitrogen topdress rate (Npi) at panicle initiation stage (PIS) are 'how much nitrogen accumulation during the reproductive stage (PNup) is required for the target rice yield or protein content depending on the growth and nitrogen nutrition status at PIS?' and 'how can we diagnose the growth and nitrogen nutrition status easily at real time basis?'. To address these questions, two years experiments from 2001 to 2002 were done under various rates of basal, tillering, and panicle nitrogen fertilizer by employing a rice cultivar, Hwaseongbyeo. The response of grain yield and milled-rice protein content was quantified in relation to RVIgreen (green ratio vegetation index) and SPAD reading measured around PIS as indirect estimators for growth and nitrogen nutrition status, the regression models were formulated to predict PNup based on the growth and nitrogen nutrition status and Npi at PIS. Grain yield showed quadratic response to PNup, RVIgreen around PIS, and SPAD reading around PIS. The regression models to predict grain yield had a high determination coefficient of above 0.95. PNup for the maximum grain yield was estimated to be 9 to 13.5 kgN/10a within the range of RVIgreen around PIS of this experiment. decreasing with increasing RVIgreen and also to be 10 to 11 kgN/10a regardless of SPAD readings around PIS. At these PNup's the protein content of milled rice was estimated to rise above 9% that might degrade eating quality seriously Milled-rice protein content showed curve-linear increase with the increase of PNup, RVIgreen around PIS, and SPAD reading around PIS. The regression models to predict protein content had a high determination coefficient of above 0.91. PNup to control the milled-rice protein content below 7% was estimated as 6 to 8 kgN/10a within the range of RVIgreen and SPAD reading of this experiment, showing much lower values than those for the maximum grain yield. The recovery of the Npi applied at PIS ranged from 53 to 83%, increasing with the increased growth amount while decreasing with the increasing Npi. The natural nitrogen supply from PIS to harvest ranged from 2.5 to 4 kg/10a, showing quadratic relationship with the shoot dry weight or shoot nitrogen content at PIS. The regression models to estimate PNup was formulated using Npi and anyone of RVIgreen, shoot dry weight, and shoot nitrogen content at PIS as predictor variables. These models showed good fitness with determination coefficients of 0.86 to 0.95 The prescription method based on the above models predicting grain yield, protein content and PNup and its constraints were discussed.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.9 no.4
• /
• pp.420-425
• /
• 1999

The maximum demand controller is an electrical equipment installed at the consumer side of power system for monitoring the electrical energy consumed during every integrating period and preventing the target maximum demand (MD) being exceeded by disconnecting sheddable loads. By avoiding the peak loads and spreading the energy requirement the controller contributes to maximizing the utility factor of the generator systems. It results in not only saving the energy but also reducing the budget for constructing the natural base facilities by keeping thc number of generating plants ~ninimumT. he conventional MD controllers often bring about the large number of control actions during the every inteyating period and/or undesirable loaddisconnecting operations during the beginning stage of the integrating period. These make the users aviod the MD controllers. In this paper. fuzzy control technique is used to get around the disadvantages of the conventional MD control system. The proposed MD controller consists of the predictor module and the fuzzy MD control module. The proposed forecasting method uses the SOFM neural network model, differently from time series analysis, and thus it has inherent advantages of neural network such as parallel processing, generalization and robustness. The MD fuzzy controller determines the sensitivity of control action based on the time closed to the end of the integrating period and the urgency of the load interrupting action along the predicted demand reaching the target. The experimental results show that the proposed method has more accurate forecastinglcontrol performance than the previous methods.

• Journal of Advanced Marine Engineering and Technology
• /
• v.34 no.2
• /
• pp.259-266
• /
• 2010

The heat flowrate and pressure dorp of $CO_2$ in a multi-tube-in-tube helical coil type gas cooler were predicted using LMTD method and compared with the experimental data. The mass flowrate of $CO_2$ and coolant were varied from 0.06 to 0.075 [kg/s], and the cooling pressure of gas cooler were from 8 to 10 [MPa], respectively. The LMTD method is used to predict the heat flowrate and pressure drop of supercritical $CO_2$ during in-tube cooling. The equations used by LMTD method were Gnielinski correlation for $CO_2$ and Dittus-Boelter correlation for coolant, respectively. The equation used to predict the pressure drop of $CO_2$ and coolant is Blasius correlation. In comparison of heat flowrate and pressure drop of $CO_2$ measured by experiment to that predicted by LMTD method, the experimental heat flowrate and pressure drop of $CO_2$ in the multi-tube-in-tube helical coil type gas cooler shows a relatively good agreement with that predicted by LMTD method.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2020.06a
• /
• pp.299-299
• /
• 2020

국내외 발생하는 재난 중 70% 이상이 물과 관련된 재해로 분류되며, 집중호우와 태풍으로 인한 하천범람 및 내수침수 등으로 많은 피해를 발생시키고 있다. 특히 최근 발생하는 피해 양상은 과거에 발생하지 않았던 극한 강우로 인해 돌발적으로 발생하는 경우가 빈번하게 발생하고 있어 이에 따라 사전에 예측하여 미리 대비하는 선제적인 홍수 대비 시스템이 요구되고 있다. 선제적인 홍수 대비 시스템의 구축 여부는 정확한 하천 흐름 예측을 필요로 한다. 하지만 하천의 흐름은 댐붕괴, 제방붕괴, 하천 하상의 변동 등 다양한 상황에서 급격한 흐름의 변동이 발생하며, 이는 하천 흐름 예측에 장애물로 작용하여 정확도를 떨어뜨리는 요인이 된다. 특히 국내에는 산악지형과 수공구조물에 의한 불연속 단면이 다수 존재하고 있어 그 예측 결과에 대한 정확성에 대한 요구가 더욱 부각되고 있다. 그렇기 때문에 해당 문제를 해결하기 위한 다양한 기법들이 개발되어 실무에 적용되고 있으나 어떤 기법이 국내 하천특성에 적합한지 파악할 수 없으며, 그 정확성과 안정성에 측면에서 여전히 많은 문제점을 가지고 있는 실정이다. 본 연구에서는 불연속 흐름이 빈번하게 발생하는 국내 하천 특성에 적합한 수치 기법을 확인하고자 유량보존특성을 만족하는 유한체적기법 중 국내외적으로 다수 사용되었던 기법들을 비교 및 평가하였다. 불연속 흐름의 대표적인 예제로서 'Dam-break problem'과 충격파 해석 및 홍수기와 갈수기에 따른 하천 하상의 마름/젖음에 대한 평가를 할 수 있는 Toro's Riemann problems에 적용하여 비교하였으며 그 결과 값을 정량적인 수치로 나타내었다. 이를 통해 국내 하천 특성에 적합한 수치 기법을 선정하였으며. 향후 국내하천 환경을 만족할 뿐만 아니라 하천 종사자들의 요구에도 부합한 하천흐름해석 모형의 개발 시 많은 기여가 될 것이라 판단된다.

• Journal of the Korean Society of Propulsion Engineers
• /
• v.21 no.4
• /
• pp.89-95
• /
• 2017

The improvement of a flow coefficient for the recirculation chill-down flow in a main oxidizer shut-off valve has been presented. The flow coefficient, which is mainly affected by the recirculation outlet port size and the configuration inside the valve, has been predicted with measured flow coefficient values. The comparison of experimentally measured flow coefficient with the predicted value shows the effect of valve inside configuration on the flow coefficient. Consequently, the flow coefficient is twice the previous value and about 75% of the pressure loss assigned to the main oxidizer shut-off valve can be used for additional pressure losses for other components in the recirculation chill-down system of a launch vehicle.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.35 no.12
• /
• pp.1257-1264
• /
• 2011

This paper presents 3D simulation by STAR-CCM+ for lean premixed combustion in a stationary gas turbine combustor with separate pilot and main nozzles. The constant for the source term in the flame area density transport equation was modified to account for a low global equivalence ratio and validated against measurement data. A Partially-premixed Coherent Flame Model(PCFM) involves propagation of a laminar premixed flame with the predicted flame surface density and equilibrium assumption in the burned gas with spatial inhomogeneity. The conditions for cooling by radiation and convection are considered for accurate determination of the heat flux on the wall. A parametric study is of the pilot-fuel-to-total-fuel-ratio is carried out. A chemical reactor network (CRN) was constructed on the basis of the 3D simulation results and compared against measurements of NOx.

• Food Engineering Progress
• /
• v.15 no.4
• /
• pp.324-331
• /
• 2011

Hyperspectral reflectance imaging technology was used to predict internal quality of cherry tomatoes with the spectral range of 400-1000 nm. Partial least square (PLS) regression method was used to predict firmness, sugar content, and acid content. The PLS models were developed with several preprocessing methods, such as normalization, standard normal variate (SNV), multiplicative scatter correction (MSC), and derivative of Savitzky Golay. The performance of the prediction models were investigated to find the best combination of the preprocessing and PLS models. The coefficients of determination ($R^{2}_{p}$) and standard errors of prediction (SEP) for the prediction of firmness, sugar content, and acid content of cherry tomatoes from green to red ripening stages were 0.876 and 1.875kgf with mean of normalization, 0.823 and $0.388^{\circ}Bx$ with maximum of normalization, and 0.620 and 0.208% with maximum of normalization, respectively.