• Korean Journal of Agricultural and Forest Meteorology
• /
• v.21 no.4
• /
• pp.327-336
• /
• 2019

Soybean is one of the most important crops of which the grains contain high protein content and has been consumed in various forms of food. Soybean plants are generally cultivated on the field and their yield and quality are strongly affected by climate change. Recently, the abnormal climate conditions, including heat wave and heavy rainfall, frequently occurs which would increase the risk of the farm management. The real-time assessment techniques for quality and growth of soybean would reduce the losses of the crop in terms of quantity and quality. The objective of this work was to develop a simple model to estimate the growth of soybean plant using a multispectral sensor mounted on a rotor-wing unmanned aerial vehicle(UAV). The soybean growth model was developed by using simple linear regression analysis with three phenotypic data (fresh weight, dry weight, leaf area index) and two types of vegetation indices (VIs). It was found that the accuracy and precision of LAI model using GNDVI (R²= 0.789, RMSE=0.73 ㎡/㎡, RE=34.91%) was greater than those of the model using NDVI (R²= 0.587, RMSE=1.01 ㎡/㎡, RE=48.98%). The accuracy and precision based on the simple ratio indices were better than those based on the normalized vegetation indices, such as RRVI (R²= 0.760, RMSE=0.78 ㎡/㎡, RE=37.26%) and GRVI (R²= 0.828, RMSE=0.66 ㎡/㎡, RE=31.59%). The outcome of this study could aid the production of soybeans with high and uniform quality when a variable rate fertilization system is introduced to cope with the adverse climate conditions.

• Korean Journal of Food Science and Technology
• /
• v.10 no.2
• /
• pp.181-188
• /
• 1978

To study on the changes in saponins from callus mass by tissue culture, the callus was derived from the petiole of Korean Ginseng (Panax Ginseng C.A. Meyer) and cultivated on Murashige and Skoog's agar medium supplemented with 2.4-dichlorophenoxyacetic acid and kinetin for 8 months. Then, well-grown callus was analyzed for its components estimation. The results obtained are as follows: (1) When saponins isolated from callus mass were chromatographed on a silca gel plate, and determined by the thinchrograph TFG-10, the ratio of Rb, c to Rg(f) in saponins was 2.16 to 1 and Rb, c, d to Re, g (f) was 1 to 1.63, while in the case of saponins from the root of Panax Ginseng grown by soil culture, the ratio of Rb, c to Rg(f) was 1.03 to 1 and the ratio of Rb, c,d to Re, g(f) was 1 to 1.17. (2) Sapogenins were obtained from the hydrolysates of saponins, and determined by thinchrograph TFG-10. The ratio of panaxadiol to panaxatriol in sapogenins from callus saponins was 2.66 to 1, while the ratio of panaxadiol to panaxatriol in sapogenins from ginseng root saponins was 1.86 to 1. From the results above mentioned, we concluded that the relative contents of sapogenins in saponins from callus mass by tissue culture were different from those in saponins from ginseng root by soil culture.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.8 no.4
• /
• pp.101-109
• /
• 2008

Automated rainfall warning system is a facility to prevent casualties who were recreating in the down stream region with operating lead broadcasting or signaling warning automatically when torrential rainfall occurs in mountainous area. But standard of conventional warning does not consider the characteristics of basin, and warning signal. Evacuation signal 1 and evacuation signal 2 are uniformly signaled when the 10minute moving total of observed rainfall is higher than 4 mm, 6 mm, and 8 mm respectively. therefore, local governments and relative agencies had re-established the standard of warning by analyzing the risk water level, critical discharge and reference rainfall, which are considering the characteristics of basin. In this study the standard of conventional and re-established warning of weolseong basin, which is available to acquire a real rainfall. There are analyzed by considering the risk water level, critcal discharge and reference rainfall. Also this study compares rainfall of conventional and re-established warning standard and indentifies problems by analyzing adequacy of rainfall estimation for warning and proposes alternative. The standard of conventional warning which investigates with the converted rainfall(unit of a minute) issued too many alarm. The re-established standard upward has the necessity which will be regulated about the alarm announcement number of times. Considers the safety, upward regulation of alarm standard rainfall is a necessity which will be prudent.

• Animal cells and systems
• /
• v.3 no.2
• /
• pp.133-141
• /
• 1999

To examine the taxonomic position and affinities of Isopyrum mandshuricum (Ranunculaceae) and related taxa, genetic analysis were carried out on the basis of isozyme patterns and ITS sequences. Molecular data, both isozyme patterns and ITS sequences suggest that I. mandshuricum is closely related to Enemion raddeanum than to Semiaquilegia adoxoides. The estimation of genetic identities by isozyme analysis reveals that I. manshuricum is genetically distant from E. raddeanum. The phylogenetic tree based on molecular data is rather congruent with the phenogram based on quantitative morphological characteristics, but not consistent with one based on qualitative morphological characteristics. Incongruencies between molecular and qualitative morphological data provide clues to re-evaluate several morphological features.

• ETRI Journal
• /
• v.26 no.6
• /
• pp.535-544
• /
• 2004

With video compression standards such as MPEG-4, a transmission error happens in a video-packet basis, rather than in a macroblock basis. In this context, we propose a semantic error prioritization method that determines the size of a video packet based on the importance of its contents. A video packet length is made to be short for an important area such as a facial area in order to reduce the possibility of error accumulation. To facilitate the semantic error prioritization, an efficient hardware algorithm for face tracking is proposed. The increase of hardware complexity is minimal because a motion estimation engine is efficiently re-used for face tracking. Experimental results demonstrate that the facial area is well protected with the proposed scheme.

• Proceedings of the KIEE Conference
• /
• 2002.07b
• /
• pp.1165-1168
• /
• 2002

This paper presents a neural network based self-tuning fuzzy PID control scheme with variable learning rate for sensorless vector controlled induction motor drives. MRAS(Model Reference Adaptive System) is used for rotor speed estimation. When induction motor is continuously used long time. its electrical and mechanical parameters will change, which degrade the performance of PID controller considerably. This paper re-analyzes the fuzzy controller as conventional PID controller structure, introduces a single neuron with a back-propagation learning algorithm to tune the control parameters, and proposes a variable learning rate to improve the control performance. The proposed scheme is simple in structure and computational burden is small. The simulation using Matlab/Simulink and the experiment using DS1102 board show the robustness of the proposed controller to parameter variations.

• Proceedings of the KSR Conference
• /
• 2011.10a
• /
• pp.275-280
• /
• 2011

Due to high-speed of trains, the track deformation increases rapidly and may lead to track irregularities causing the track stability problem. To secure the track stability, the continual inspection on track irregularities is required. The paper presents a methodology for identifying track irregularity using the NARX neural network considering non-linearity in the train structural system. A simulation study has been carried out to examine the proposed method. Acceleration time history data measured at a bogie were re-sampled to every 0.25m track irregularity. In the simulation study, two sets of measured data were simulated. The second data set was obtained by a train with 10% more mass than the one for the first data set. The first set of simulated data was used to train the series-parallel mode of NARX neural network. Then, the track irregularities at the second time period are identified by using the measured acceleration data. The closeness of the identified track irregularity to the actual one is evaluated by PSD and RMSE.

• Journal of Electrical Engineering and Technology
• /
• v.10 no.1
• /
• pp.429-435
• /
• 2015

This study proposes a re-adhesion algorithm that has stable traction effort for rolling stock slip/slide minimization when deliverable traction decreases by slip. The proposed scheme estimates appropriate reference speed using two encoders for reducing slip and controls traction effort stably and has stable control characteristics for disturbance. The algorithm which uses the maximum adhesive effort by instantaneous estimation of adhesion force stably controls traction effort and gives rolling stock excellent acceleration and deceleration characteristics. And a slip sensing element that can quickly detect slip is used. Load motor and inverter were checked in various slip conditions for creating various line conditions.

• Journal of the Korean Society of Combustion
• /
• v.18 no.1
• /
• pp.1-6
• /
• 2013

Authors' previous works on thermoacoustic(TA) model development showed good results in predicting combustion instability characteristics in a gas turbine combustor. However, they also suggested there were some limitations in growth rate estimation, which might be related with over-simplification of flame structure. As a first trial for improving the model accuracy, the current paper introduces the modified TA model considering the actual flame location in the combustor. The combustor is divided into the unburned and the burned area before and after the flame location, and then acoustic equations are re-organized. The modified TA model results show a better accuracy in predicting the growth rate of instabilities comparing with the previous results. However, obtained results still overestimate the conditions where the combustor goes unstable. Further researches considering heat release distribution through flames are required.

• Proceedings of the IEEK Conference
• /
• 2000.11d
• /
• pp.13-16
• /
• 2000

This paper presents a robust method to combine a collection of images with small fields of view to obtain an image with a large field of view. In the previous works, there are two main areas which one is a cross correlation-based method and the other is a feature-based method. The former is based on motion estimation from video sequences. so there are a problem on rotating a camera about optical axis. In the latter method, it is difficult to match correspondence feature points correctly.'re find correct correspondences, we proposed the geometrical feature model and correspondence filters and the Gaussian distribution weight function to blend the images smoothly. The experiments show that our method is robust and effective.