Raphanus sativus var. hortensis f. raphanistroides Makino (Korean wild radish [WR]) are root vegetables belonging to the Brassicaceae family. These radish species mostly grow in sea areas in Asia, where they have been traditionally used as a medicinal food to treat various diseases. To investigate the effect of WR on neuronal cell death in SH-SY5Y cells, betaamyloid was used to develop the cell death model. WR attenuated neuronal cell death in SH-SY5Y and regulated the mitogen-activated protein kinase (MAPK) signaling. WR extract also inhibited acetylcholinesterase inhibitor activity. Additionally, the WR treatment group ameliorated the behavior of the memory-impaired mice in a scopolamine-induced mouse model. In the behavior test, WR treated mice showed shorter escape latency and swimming distance and improved the platform-crossing number and the swimming time within the target quadrant. Furthermore, WR prevented histological loss of neurons in hippocampal CA1 regions induced by scopolamine. This study shows that WR can prevent memory impairment which may be a crucial way for the prevention and treatment of memory dysfunction and neuronal cell death.

본 연구는 기계학습을 통한 수량예측모델을 이용하여 이상기상에 따른 WCM의 DMY 피해량을 산출하기 위한 목적으로 수행하였다. 수량예측모델은 WCM 데이터 및 기상 데이터를 수집 후 가공하여 8가지 기계학습을 통해 제작하였으며 실험지역은 경기도로 선정하였다. 수량예측모델은 기계학습 기법 중 정확성이 가장 높은 DeepCrossing (R2=0.5442, RMSE=0.1769) 기법을 통해 제작하였다. 피해량은 정상기상 및 이상기상의 DMY 예측값 간 차이로 산출하였다. 정상기상에서 WCM의 DMY 예측값은 지역에 따라 차이가 있으나 15,003~17,517 kg/ha 범위로 나타났다. 이상기온, 이상강수량 및 이상풍속에서 WCM의 DMY 예측 값은 지역 및 각 이상기상 수준에 따라 차이가 있었으며 각각 14,947~17,571 kg/ha, 14,986~17,525 kg/ha 및 14,920~17,557 kg/ha 범위로 나타났다. 이상기온, 이상강수량 및 이상풍속에서 WCM의 피해량은 각각 –68~89 kg/ha, -17~17 kg/ha 및 – 112~121 kg/ha 범위로 피해로 판단할 수 없는 수준이었다. WCM의 정확한 피해량을 산출하기 위해서는 수량예측모델에 이용하는 이상기상 데이터 수의 증가가 필요하다.

본 연구는 시설토경에 적합한 간단관개의 1회 관개량, 관개주기 및 최대 관개횟수를 구명하기 위해 토양 수직단면 상에서의 수분이동을 모델링하였다. 간단관개는 특정양의 물을 관개할 때, 소량의 물을 일정한 시간 간격으로 여러 번 나누어 급수하여 토양표면의 용수 손실을 줄이고, 근권부까지 수분이 원활히 침투되도록 하기 위한 관개 방법이다. 토양 내부의 수분이동 특성은 관개방법, 토성 등에 따라 다양하게 변화한다. 반면, 현장에서 간단관개는 토마토 시설토경 재배의 경우 40분 간격으로 1회 4분간 최대 4회 관개, 사과의 경우 110분 간격으로 1회 5분간 최대 3∼5회 등 경험에 따라 관개하고 있다. 본 연구에서는 국내의 대표적인 밭토성인 사질양토, 양토, 양질사토에 대해 10, 20, 40분 간격으로 관개깊이 5㎜의 용수를 1.0, 1.7, 2.5, 5.0㎜씩 각 1∼5회로 나누어 관개하는 조건을 모의하였다. 모의할 토층단면은 폭 10㎝, 깊이 30㎝로 설정하고, 모의 프로그램은 Hydrus- 2D를 이용하였다. 기존 관련 연구의 실측 자료를 이용해 모델을 보정하고, 토층단면에 걸쳐 시간 경과에 따른 토양 내 수분 변화를 2차원 토양수분 패턴도로 작성하였다. 간단관개 방법에 따라 토양표면 및 근권부 토층에서의 수분 변화를 분석한 결과 모든 조건에서 연속관개 보다는 간단관개가 근권부의 수분전달에 유리하고, 양토, 사질양토, 양질사토의 순으로 관개용수의 침투가 원활한 것으로 파악되었다. 1회 관개량 1.7㎜ 이상, 간단시간 40분 이상인 경우에 토양표면에서의 수분 침투가 원활해지는 것으로 나타났으며, 근권부의 토양수분 전달에 가장 유리한 것은 1회 관개량 1.7㎜, 3회 간단관개하는 경우로 분석되었다. 토성에 따른 토양수분이동의 특성 차이는 크지 않은 것으로 나타났다. 본 연구 결과 시설토경 관개에서 토양표면에서의 용수손실을 감소시키면서, 근권부 수분공급에 적합한 간단관개법을 구명할 수 있었으며, 이를 향후 자동관개 제어 시스템에 적용한다면 용수손실을 최소화하면서 토양수분을 작물생육에 최적의 상태로 제어할 수 있을 것으로 사료된다.

목적 : Photobiomodulation 요법은 저출력 레이저 치료기술로, 당뇨망막증, 연령관련황반변성, 망막색소변성증을 포함한 퇴행성 망막질환에 대한 비침습적 치료법으로 제안되고 있다. 최근 광원으로 LED가 널리 사용되고 있으나, 망막에서 LED 기반의 Photobiomodulation에 대한 연구는 매우 부족한 실정이다. 본 연구의 목적은 670 nm LED 광원을 사용한 Photobiomodulation의 망막신경퇴화 억제효과를 조사하기 위해 시행되었다. 방법 : 670 nm LED패널, 반도체 냉각장치, 빛세기 제어기로 구성된 LED 기반의 빛 조사장치를 제작하였다. 망막신경퇴화 유도를 위해 NaIO3를 마우스에 복강주사하였다. 마우스 동공을 확대시킨 후 60 mW/cm2 출력에서 2분 동안 조사하였다. 망막의 광수용세포 손상은 바깥핵층의 두께, 광수용세포 사멸, 광수용단백질인 Rhodopsion, Opsin의 발현, 염증성 사이토카인 유전자의 발현, 뮐러세포의 반응성 신경교증 활성을 통해 분석되었다. 결과 : NaIO3에 의해 손상된 망막에 670 nm LED 빛의 조사는 망막 바깥핵층의 두께 증가, 광수용세포의 사멸 억제, 뮐러세포의 반응성 신경교증 억제, 광수용단백질의 발현 증가를 야기하였다. 결론 : 본 연구는 670 nm LED를 이용한 PBM은 망막 광수용세포의 퇴화를 손상자극 없이 효과적으로 억제할 수 있다는 것을 제시하며, 퇴행성 망막질환 치료에 새로운 전략을 제공한다.

This paper proposes a model predictive controller of robot manipulators using a genetic algorithm to secure the best performance by performing parameter optimization with the genetic algorithm. Genetic algorithm is a natural evolutionary process modeled as a computer algorithm and has excellent performance in global optimization, so it is useful for tuning control parameters. The sliding mode controller and inverse dynamics controller are included in the lower part of the model prediction controller to minimize the problems caused by non-linearity and uncertainty of the robot manipulator. The performance superiority of the proposed method as described above has been confirmed in detail through a simulation study.

Recently, traffic accidents have continued to occur due to the failure to secure a safe distance for trucks. Unlike passenger cars, freight cars have a large fluctuation in the weight of the vehicle's shaft depending on the load, and the fatality of accidents and the possibility of accidents are high. In this study, a braking distance prediction model according to the driving speed and loading weight of a three-axis truck was implemented to prevent a forward collision accident. Learning data was generated based on simulation, and a prediction model based on machine learning was implemented to finally verify accuracy. The extra trees algorithm was selected based on the most frequently used R2 Score among regression analyses, and the accuracy of the braking distance prediction model was 98.065% through 10 random scenarios.

Due to environmental pollution, regulations on existing petroleum-based fuels are increasing day by day. LNG is in the spotlight as an eco-friendly fuel that does not emit NOx or SOx, but its boiling point is -163°C, so it needs to be handled with care. Materials that can be used at the above temperature are defined by IMO through the IGC Code. Among them, 9% nickel steel has great advantages in yield strength and tensile strength under cryogenic conditions, but it is difficult to use in arc welding such as FCAW for various reasons. This study is a study to apply fiber laser welding to solve this problem. As a previous study, this study conducted a study to find a welding heat source. After performing bead on plate welding, the optimal heat source was derived by analyzing the shape of the bead and adjusting the parameters of the heat source model. In this case, by applying the multi-island genetic algorithm, which is a global optimization algorithm, not the intuition of the researcher, accurate results could be derived in a wide range.

In system design, it is not always possible that all decision makers can cooperate fully and thus avoid conflict. They each control a specified subset of design variables and seek to minimize their own cost functions subject to their individual constraints. However, a system management team makes every effort to coordinate multiple disciplines and overcome such noncooperative environment. Although full cooperation is difficult to achieve, noncooperation also should be avoided as possible. Our approach is to predict the results of their cooperation and generate approximate Pareto set for their multiple objectives. The Pareto set can be obtained according to the degree of one's conceding coupling variables in the other's favor. We employ approximation concept for modelling this coordination and the mutiobjective genetic algorithm for exploring the coupling variable space for obtaining an approximate Pareto set. The approximation management concept is also used for improving the accuracy of the Pareto set. The exploration for the coupling variable space is more efficient because of its smaller dimension than the design variable space. Also, our approach doesn't force the disciplines to change their own way of running analysis and synthesis tools. Since the decision making process is not sequential, the required time can be reduced comparing to the existing multidisciplinary design optimization. This approach is applied to some mathematical examples and structural optimization problems.

This paper proposes a mathematical model that can calculate the luminescence characteristics driven by alternating current (AC) power using the current-voltage-luminance (I-V-L) properties of organic light emitting devices (OLED) driven by direct current power. Fluorescent OLEDs are manufactured to verify the model, and I-V-L characteristics driven by DC and AC are measured. The current efficiency of DC driven OLED can be divided into three sections. Region 1 is a section where the recombination efficiency increases as the carrier reaches the emission layer in proportion to the increase of the DC voltage. Region 2 is a section in which the maximum luminous efficiency is stably maintained. Region 3 is a section where the luminous efficiency decreases due to excess carriers. Therefore, the fitting equation is derived by dividing the current density and luminance of the DC driven OLED into three regions, and the current density and luminance of the AC driven OLED are calculated from the fitting equation. As a result, the measured and calculated values of the AC driving I-V-L characteristics show deviations of 4.7% for current density, 2.9% for luminance, and 1.9% for luminous efficiency.

This study was conducted to investigate the anti-obesity effect of Discorea Japonica Thunb. fermented with Monascus After inducing obesity by feeding hight fat diet (diet induced obesity model: DIO) for four weeks, each 8 rats were assigned to normal (Nor), high fat diet (HF), high fat diet containing orlistat (PC), high fat diet containing different concentration of Discorea Japonica Thunb. fermented with Monascus (UPDM_L, UPDM_H) and Discorea Japonica Thunb. (UPD) extract. Although the UPD, UPDM_L (ultrafine pulverized Discorea Japonica Thunb. fermented with Monascus: 400 mg/kg) and UPDM_H (DIO oral administration ultrafine pulverized Discorea Japonica Thunb. fermented with Monascus: 800 mg/kg) showed weight gain inhibition effects, the results of poor obesity inhibition rather than PC were confirmed. However, it showed a more effective weight loss effect in UPDM_H than UPD, and significantly reduced the weight of epididymal fat and subcutaneous fat. Furthermore, the possibility of anti-obesity effects of Discorea Japonica Thunb. fermented with Monascus can be confirmed by observing the effects of reducing serum total cholesterol, triglyceride and LDL concentrations, reducing ALT and AST levels, and inhibiting fat build-up in liver tissue. It is believed that Discorea Japonica Thunb. fermented with Monascus can be expected to utilize as a functional material that is important to improve anti-obesity and metabolic syndrome.