해상풍은 대기-해양의 상호작용을 이해하는데 중요한 요소일 뿐만 아니라, 해양에서 기인하는 위험기상을 예측하는데 중요한 입력자료이다. 정확한 예측을 위해서는 정확한 해상풍 자료가 요구되지만, 육상과 달리 해상은 관측이 제한적이기 때문에 관측 자료가 많 지 않은 실정이다. 따라서 본 연구에서는 장기간의 고해상도 해상풍 자료 구축을 목표로 하였다. 먼저 장기간에 대해 활용 가능한 ERA5 재분석 바람장을 고해상도로 재격자화 하였고, 재격자화 한 ERA5 바람장을 수치모형 ADCIRC (ADvanced CIRCulation model)의 GAHM (Generalized Asymmetric Holland Model)을 이용하여 산출한 비대칭형 태풍 바람장과 합성하였다. 산출된 비대칭형 태풍 합성 바람장은 기상 청 (Korea Meteorological Administration, KMA) 및 일본 기상청 (Japan Meteorological Administration, JMA) 관측자료를 이용하여 정확도를 평가 하였다. 평가결과, ERA5 바람장 및 Holland 식을 이용하여 산출한 대칭형 태풍 합성 바람장보다 비대칭형 태풍 합성 바람장이 관측값을 매우 유사하게 재현하는 것으로 나타났다. 본 연구에서 생산한 해상풍 자료는 향후 폭풍해일 후측 자료 구축, 폭풍해일고 빈도 분석, 해상 풍 빈도 분석 등 다양한 연구의 기초자료로 유용하게 활용될 것으로 기대된다.

이 연구는 한국의 유가증권시장과 코스닥시장의 비금융업종 기업을 대상으로 기업의 비대칭적 환노출과 기업의 주가급락위험 간의 관계를 분석하였다. 분석 기간은 2009년부터 2021년까지이다. 분석 결과 환율이 상승하는 경우 주가가 크게 하락하는 특성의 비대칭적 환노출이 있는 기업의 경우 주가급락위험이 감소하는 결과를 확인하 였다. 이러한 결과는 환율이 상승하는 경우 기업의 주가가 하락하는 정도가, 환율이 하락하는 경우 주가가 상승 하는 정도보다 큰 것으로 시장에서 확인되어 있는 경우 경영자는 환율 상승과 주가 하락에 관련된 정보를 은닉하기 보다는 환노출을 관리하는 선택을 하게 되고, 시장에서도 이러한 기업들의 환율변동과 주가 간의 관계에 관심을 갖게 되어 환율변동의 영향이 신속하게 주가에 반영되기 때문에 주가급락위험이 오히려 감소하는, 비대칭적 환노출 의 주가급락위험 감소 효과가 나타나기 때문인 것으로 판단된다. 그러나 평균적인 관계와는 달리 비대칭 환노출이 있는 기업의 경우 환율 상승에 따른 주가급락위험 증가의 가능성이 있음도 확인할 수 있었다. 이 연구의 분석 결과 는 환노출이 있는 기업의 경우 환노출과 관련된 정보를 시장에 충분히 공지하는 것이 주가급락위험 예방의 차원 에서 중요할 수 있음을 확인시켜 준다.

In this research, a new structure of an asymmetric piston dedicated machining center is developed. By applying 2 linear motors in this machine, the slide unit structure could be simplified by comparing to the ball screw method, resulting in easier maintenance of the machine and enabling simultaneous machining in 2 axes and high-speed precision machining. In addition, a dedicated HMI for the asymmetric piston is developed to support efficient operation by workers, allowing them to verify product quality and take necessary actions. It is confirmed that by fully utilizing control libraries and productive programming languages, immediate response to future demands could be achieved. Through speed control loop performance testing, it is confirmed that applying feedforward function could improve the response speed, control accuracy, and stability of the speed control loop. The application of polynomial interpolation and Newton interpolation in the actual machining of asymmetric pistons confirmed the achievement of dynamic machining precision at high speeds. The developed machine and HMI are expected to contribute significantly to the efficiency, productivity, and improvement of product quality in the machining of asymmetric pistons.

A timber lattice roof, which has around 30m span, was constructed. In order to figure out the realistic buckling load level, the structural analysis of this roof structure was performed especially by stiffness of connection with various asymmetric snow load. Due to the characteristics of application of snow load, the load combinations of snow should be considered not only global area but also local part so that the critical buckling load could be observed as easy as possible. Geometrical imperfection was simulated to consider inaccurate shape of structure. And then nonlinear analysis were performed. Finally, this paper could investigate that the asymmetric snow load with the lower level stiffness of connection decreased the level of buckling load significantly.

A Forbush decrease (FD) is a depression of cosmic ray (CR) intensity observed by ground-based neutron monitors (NMs). The CR intensity is thought to be modulated by the heliospheric magnetic structures including the interplanetary coronal mass ejection (ICME) surrounding the Earth. The different magnitude of the decreasing in intensity at each NM was explained only by the geomagnetic cutoff rigidity of the NM station. However, sometimes NMs of almost the same cutoff rigidity in northern and southern hemispheres observe the asymmetric intensity depression magnitudes of FD events. Thus, in this study we intend to see the effects on CR intensity modulation of FD event recorded at different NMs due to different ICME propagation directions as an additional parameter in the model explaining the CR modulation. Fortunately, since 2006 the coronagraphs of twin spacecraft of the STEREO mission allow us to infer the propagation direction of ICME associated with the FD event in 3-dimension with respect to the Earth. We suggest the hypothesis that the asymmetric CR modulations of FD events are determined by the propagation directions of the associated ICMEs.

A microfluidic pump is a key component to controllably actuate fluids in Lab on a chip devices. To overcome technical issues of a diaphragm-type pump, a valveless nozzle-diffuser type pump was developed by utilizing the different flow resistance to control a dominant flow direction by means of diaphragm actuation. In this work, based on the operating mechanism of the nozzle-diffuser type pump, we propose a new concept of a valveless pump which can generate asymmetric flow through a pump chamber. In the proposed valveless pump, asymmetric flow path structures play a role of a nozzle-diffuser installed to a pump chamber. To validate the concept of the proposed valveless pump, we conducted CFD simulations for different geometries of the flow path structures. Based on the CFD simulations, we found that the dominant flow direction can be selectively manipulated by the pump actuation and an optimal shape of the asymmetric flow path structure was proposed to maximize the net mass flow rate through the pump chamber.

Most of the predictions using machine learning are neutral predictions considering the symmetrical situation where the predicted value is not smaller or larger than the actual value. However, in some situations, asymmetric prediction such as over-prediction or under-prediction may be better than neutral prediction, and it can induce better judgment by providing various predictions to decision makers. A method called Asymmetric Twin Support Vector Regression (ATSVR) using TSVR(Twin Support Vector Regression), which has a fast calculation time, was proposed by controlling the asymmetry of the upper and lower widths of the ε-tube and the asymmetry of the penalty with two parameters. In addition, by applying the existing GSVQR and the proposed ATSVR, prediction using the prediction propensities of over-prediction, under-prediction, and neutral prediction was performed. When two parameters were used for both GSVQR and ATSVR, it was possible to predict according to the prediction propensity, and ATSVR was found to be more than twice as fast in terms of calculation time. On the other hand, in terms of accuracy, there was no significant difference between ATSVR and GSVQR, but it was found that GSVQR reflected the prediction propensity better than ATSVR when checking the figures. The accuracy of under-prediction or over-prediction was lower than that of neutral prediction. It seems that using both parameters rather than using one of the two parameters (p_1,p_2) increases the change in the prediction tendency. However, depending on the situation, it may be better to use only one of the two parameters.

Poly(vinylidene fluoride) (PVDF) 막은 내구성 및 열적⋅화학적 안정성 등의 물성은 우수하나 소수성이 커서 수투과도가 낮고 단백질 및 유기물에 의한 막오염이 쉽게 발생한다. 본 연구에서는 PVDF 막의 내오염성을 개선시키고자 바이오 기능성 물질인 β-cyclodextrin (β-CD)을 PVDF 막 구조 내에 분산 함침시킨 PVDF/β-CD 혼합기질 비대칭막을 상변환 법을 통해 제조하고, β-CD 함침량에 따른 순수 투과 유속(PWF) 측정과 BSA 용액을 대상으로 한 막여과 실험을 수행하여 내오염성 특성을 평가하였다. 이 결과 PVDF 고분자 매질 내에 β-CD를 함침시키면 막의 친수성을 증가시켜 접촉각을 감소시키고 이로 인해 내오염성을 향상시킬 수 있었다. β-CD 함침량이 2 wt%인 도프용액을 사용하여 제조된 PVDF/β-CD 혼합 기질 비대칭막의 PWF는 64 L/m2⋅h, BSA 배제도는 95%를 나타내었으며, β-CD를 첨가하지 않고 제조된 pristine PVDF 막에 비해 투과 유속 향상성이 최대 80%에 달해 β-CD를 첨가시킴으로서 PVDF 막의 내오염성을 증가시킬 수 있었다.

최근 사장교 주탑의 심미성이 강조되고 있기 때문에 유한요소해석을 통해 안전성을 확보하여야 한다. 콘크리트 주탑은 케이블의 장력으로 인해 균열이 발생할 가능성이 높기 때문에 균열을 감소시키고, 구조적 안전성에 대한 계획이 필수적이다. 이 연구에서는 사장교 콘크리트 주탑의 균열제어 방법을 제시하고 유한요소해석을 통해 구조적 안전성을 검증하였다. 균열 위치는 사전해석을 통해 검토하였고, 적절한 균열제어방법이 제안되었다. 또한, 구조해석을 통해 보강 후 주탑의 안전성을 확인하였다.

The purpose of this paper is to empirically investigate whether asymmetric price transmission exists in the distribution stage of farmed olive flounder market. For the analysis, time series data were used for the producer prices of Jeju and Wando, and the wholesale prices of Incheon, Hanam and Busan. Through the Granger causality test, the causal relationship from the producer price to the wholesale price was derived and the asymmetric price transmission was analyzed using the autoregressive distributed lag model (ARDL). As a result of the analysis, it was found that there is a phenomenon of ‘positive asymmetric price transmission’ from the producer price to the wholesale price. This result can be one evidence that excess profits are received in the intermediate distribution stage, and can be said to be a result showing the incompleteness and inefficiency of the distribution structure of the farmed olive flounder. In the future, it is required to establish an information-sharing system in all stages of production, distribution, and consumption that can create a competitive environment for distribution participants and resolve information asymmetry. Also, it is necessary to review the distribution center specializing in live fish from the viewpoint of the establishment of new distribution channels and sales diversification strategy under the rapidly changing fisheries environment.

With the spread of smart manufacturing, one of the key topics of the 4th industrial revolution, manufacturing systems are moving beyond automation to smartization using artificial intelligence. In particular, in the existing automatic machining, a number of machining defects and non-processing occur due to tool damage or severe wear, resulting in a decrease in productivity and an increase in quality defect rates. Therefore, it is important to measure and predict tool life. In this paper, v-ASVR (v-Asymmetric Support Vector Regression), which considers the asymmetry of є-tube and the asymmetry of penalties for data out of є-tube, was proposed and applied to the tool wear prediction problem. In the case of tool wear, if the predicted value of the tool wear amount is smaller than the actual value (under-estimation), product failure may occur due to tool damage or wear. Therefore, it can be said that v-ASVR is suitable because it is necessary to overestimate. It is shown that even when adjusting the asymmetry of є-tube and the asymmetry of penalties for data out of є-tube, the ratio of the number of data belonging to є-tube can be adjusted with v. Experiments are performed to compare the accuracy of various kernel functions such as linear, polynomial. RBF (radialbasis function), sigmoid, The best result isthe use of the RBF kernel in all cases

Polypyrrole (PPy) decorated on reduced graphene oxide (rGO) films is successfully prepared with pyrrole (Py) monomers and rGO through one-step combining oxidation with polymerization reaction. Compared with the pure individual components, rGO/PPy compound turns out better electrochemical characteristics owing to the introduction of rGO sheets, which improves the specific surface area and the conductivity of composite material. When the amount of rGO is 10% of the total, the rGO/PPy compound delivers the best capacitance of 389.3 F g−1 at 1.0 A g−1 in a three-electrode system and 266.8 F g−1 at 0.25 A g−1 in the symmetric supercapacitor system. In addition, asymmetric device (rGO/PPy//AC) has been successfully fabricated using optimized rGO/PPy compound as positive electrode, activated carbon as negative electrode (AC) and 1 M Na2SO4 aqueous solution as electrolyte. The device obtains long cycle stability under the high-voltage region from 0 to 1.6 V, meanwhile displaying the satisfied energy density of 19.7 Wh kg−1 at 478.1 W kg−1. Besides, the rGO/PPy//AC device presents satisfactory rate capability and long life time.

This paper examined the dynamic instability of a shallow arch according to the response characteristics when nearing critical loads. The frequency changing feathers of the time-domain increasing the loads are analyzed using Fast Fourier Transformation (FFT), while the response signal around the critical loads are analyzed using Hilbert-Huang Transformation (HHT). This study reveals that the models with an arch shape of h = 3 or higher exhibit buckling, which is very sensitive to the asymmetric initial conditions. Also, the critical buckling load increases as the shape increases, with its feather varying depending on the asymmetric initial conditions. Decomposition results show the decrease in predominant frequency before the threshold as the load increases, and the predominant period doubles at the critical level. In the vicinity of the critical level, sections rapidly manifest the displacement increase, with the changes in Instantaneous Frequency (IF) and Instant Energy (IE) becoming apparent.