Physicochemical and sensory characteristics of Korean traditional alcoholic beverages, such as Kwahaju, Sokokju, Baikhaju, Samhaeju and Hosanchun were investigated during fermentation with the difference of input step and treatment of rice and Nuruk (Korean-style bran koji). pH values in all treatments were similar to be ranged 3.1~3.2, but acidity of the treatment brewed without seed mash was 1.5~2 times higher than that of the treatment brewed with seed mash. The concentration of alcohol in all treatments increased as the concentration of the Nuruk increased. The alcohol concentrations of Samhaeju and Hosanchun ranging from 6.5% to 7.7% were higher than those of Kwahaju, Sokokju and Baikhaju ranging from 7.9% to 10.6%. Residual reducing sugar contents of Kwahaju, Sokokju and Baikhaju ranging from 4.6 g/L to 9.7 g/L were lower than those of Samhaeju and Hosanchun ranging from 14.2 g/L to 15.5 g/L. The consumed total sugar contents of Kwahaju, Sokokju and Baikhaju ranging from 125.4 g/L to 159.2 g/L were higher than those of Samhaeju and Hosanchun ranging from 111.2 g/L to 123.8 g/L, and the treatments brewed with seed mash showed more sugar consumption than the treatments brewed without seed mash. Sensory quality in the treatments brewed with seed mash was better than those of without seed mash. Concentration of Nuruk and preparation of seed mash from it were critical factors compared to input step and treatment of rice in Korean traditional alcoholic beverage brewing.

반도체 소자에 정전기 방전으로 인한 소자내의 온도 상승을 알기 위해 열전달 방정식으로부터 열모델을 유도하였다. 그리고 열파괴 문턱전류를 얻고 시간에 따른 온도 변화를 열모델로부터 해석하였다. 여기서 유도한 열모델은 Wunsch-Bell모델에 지수 항을 추가한 형태이다. 이 모델의 유효성을 증명하기 위해 실험결과와 비교한 결과 매우 잘 일치하였으므로 이 열모델의 함수는 입력보호회로의 반도체소자를 설계하는데 매우 유용하다.

최근 구조물과 지반간의 상호작용이 원자력 발전시설, 해상구조물, 기계기초 등에 대한 내진설계시 매우 중요하다는 것이 일반화되고 있다. 그러나 지금까지 구조물 내진설계시 이러한 구조물이나 지반의 특성이 무시됐었다. 내진설계상 구조물 밑에 있는 지반에 의한 세가지 주된 영향은 Soil Amplification, Kinematic Interaction과 Inertial Interaction이다. 이 논문에서는 반지하구조물 내진설계시 필요한 지반거동을 Soil Amplification과 Kinematic Interaction을 고려하여 구하였으며, 1971년 San Fernando 지진기록으로부터 그 특성을 실제적으로 입증하였다.

I - BUILDS는 기존의 CAD 프로그랩인 BUILDS와 지식베이스룹 일판된 시스템으로 통합한 컨쓸설계용 전문가 시스댐이다. 본 시스템올 구축하기 위한 노력의 일환으로 본 논문에서논 추론에 의해 발생된 데이 타 뜰 을다양한계산능력을가지 변서 특별한 업부 도 수행할 수 있게 설계된 건붙의 일팔구조셜계 시스댐인 BUILDS 의 부시스템 (BUILDS - A ) 에 이용되도록 입력파일화하기 위한 기본적인 개념을 기술한다.

The Gwangju Stream is a major tributary of the Yeongsan River. To maintain environmental and ecological functions in the stream, the flow is secured by natural water from the Mudeung Mountain as well as waters discharged from Lake Juam and the Gwangju sewage treatment plants. A substantial amount of water is supplied into the upper reaches of Gwangju Stream from Lake Juam. To examine the ecological effects of the water input from Lake Juam on the Gwangju Stream, a field survey of phytoplankton community species and an evaluation of water properties was conducted at five stations, from station GJ1 before the inflow to station GJ5 in the lower region. Nutrient levels decreased in the vicinity of the Lake Juam inflow, suggesting that this water inflow can contribute to the reduction of eutrophication in the stream. The phytoplankton community was mainly composed of Bacillariophyceae, Chlorophyceae, and Cyanophyceae, and the community structure was similar to that of the other study sites located near the water inflow regions. The inflow of water from Lake Juam can affect water quality and the phytoplankton community over a limited area, reducingeutrophication and increasing water flow in the Gwangju Stream.

This study aims to examine the causality between production input and the price of rice in East Java, Indonesia. This study applied a quantitative method to understand in a comprehensive way the correlation between variables. The data used for this study were collected from several sources, including East Java Agriculture Office, Siskaperbapo.com, and Statistics Indonesia (BPS) of East Java. This research was carried out over five years, starting from 2014 to 2018. Furthermore, the data were analyzed using the Vector Error Correction Model (VECM) by employing E-Views (version 7). The findings of this study indicated that, in the long run, the population, rice production, and changes in people’s income have a positive effect on price stability, but are inversely proportional if seen in the short term. In comparison, in the long run, farmer exchange rates variable has a negative impact on price stability, and inversely proportional in the short term, which has a positive effect. There are different implications when the people’s income increases and the rice price declines; these have great potential to alleviate poverty in East Java, Indonesia. This is due to the fact that the price stability also concerns the welfare of the community.

This study attempts to analyze trade flows between Vietnam and China in order to understand the mutual influence of bilateral trade relations. China is a country with the world’s leading economic potential. China and Vietnam are neighboring countries sharing a border of 1,281 km. Trade relations between the two countries are a necessity and, with a right policy, are beneficial to both. Vietnam has a trade deficit with China. This situation is exacerbated by the continuing rise in the gap. Vietnam trade deficit from China was USD12.5 billion in 2010, increasing to USD24 billion in 2018. Data are extracted from the 2015 national input-output tables of Vietnam and China as well as Vietnam Household Living Standard Survey statistics. The research identified 36 sectors of bilateral input-output trade between Vietnam and China. A bilateral output-input model is applied to analyze how final demand and use of input in the production of this country induces output and value added of the other country. The results show that China benefits more from Vietnam’s production and consumption than Vietnam does. Vietnam’s inter-sector structure does not stimulate domestic production due to the absence of supporting products as inputs in the production process.

Environmental factors and changes in phytoplankton community structure before (August 5, 2017), during (August 18 and 25) and after (August 30 and September 15) freshwater input were analyzed to investigate the effects of freshwater input from Ganwol and Bunam lakes located in the upper part of Cheonsu Bay. Due to the large amount of freshwater input in the Cheonsu Bay, the surface salinity of the bay decreased by more than 8 psu, and the thermocline existing in the bay during August weakened. In addition, hypoxic phenomena occurred temporarily in the bay as the low oxygen water mass from the freshwater lakes flowed into the bay, and chemical oxygen demand, nutrients, and N/P increased with freshwater inflow. The density of phytoplankton during the freshwater inflow increased owing to their input from the freshwater lakes. Diatom species (Eucampia zodiacus) dominated the phytoplankton community in the bay before freshwater input; nanoflagellates, chlorophyta, cyanobacteria, and diatoms (Pseudonitzschia delicatissima, Chateocceros spp.) entered during freshwater input; and after freshwater inflow ended, diatoms (Chateocceros spp.) again became predominant indicating a return to previous conditions. The amount of phytoplankton standing crops increased sharply due to the inflow of freshwater species into the bay on the second day of discharge compared to before freshwater input; pre-discharge conditions were restored at most stations except at some sites close to the Bunam Lake three days after discharge. Therefore, the large amount of freshwater flowing into the bay affects not only the geochemical circulation in the bay but also the phytoplankton community structure. In particular, the high concentration of nutrients in the freshwater lake affect the marine ecosystem of the bay during August.

딥러닝 모델은 주어진 학습용 데이터에서 탐지하고자 하는 물체의 특징을 추출하기 때문에, 딥러닝 모델 학습을 위한 학습용 데이터 구축은 매우 중요하다. 본 연구에서는 균열을 탐지하는 딥러닝 모델의 성능을 향상시키기 위해, 실제 콘크리트 구조물이나 아스팔트 도로 표면에서 자주 발견될 수 있는 나뭇가지, 거미줄, 전선 등을 학습 데이터에 자동으로 포함시키고, negative 영역으로 분류하는 알고리즘을 개발하였다. 제안된 알고리즘을 사용하여 학습된 딥러닝 모델을 실제 도로 표면에 발생한 균열 탐지에 적용하여 실제 균열 탐지에 사용될 수 있음을 보였다.

본 연구는 EFL 학습자들이 강화 입력 문맥(enhanced input context) 과업 활동을 통해 분해적 (decomposable) 및 비분해적(non-decomposable) 숙어들을 어떻게 다르게 즉각적 회상(immediate recall) 하고 기억유지(retention) 하는지를 조사하였다. 이는 선행연구 등에서 주장하는 분해적 숙어가 비분해적 숙어보다 이해 처리과정에 유리하다는 주장과 이와 관련된 숙어이해 처리과정에 관한 의미적 분해성(semantic compositionality) 의 역할에 대한 견해와 이에 반하는 견해를 논의의 바탕으로 하였다. 이를 위해 동사 구절 (동사+관사+명사) 형태를 갖는 12개의 목표숙어 (6 decomposable idioms & 6 non-decomposable idioms)가 선정되었고 학습자들은 강화입력 문맥, 즉 볼드체(bolding) 와 우리말 주석(L1 glossing) 이 있는 목표 숙어들을 보면서 하나의 목표 숙어 당 3개의 문장에 목표 숙어들을 빈 칸에 채워 넣기(cloze production) 를 하며 그 문맥의 의미를 이해하는 과업 활동을 하였다. 결과 분석에 의하면 비록 학습자들은 두 유형의 숙어에 있어서 전체적으로 높은 비율의 수용적 (receptive) 및 생산적(productive) 단기회상(immediate recall) 과 수용적 장기기억 유지(delayed retention) 를 나타냈지만, 비분해적 숙어가 분해적 숙어보다 수용적, 생산적 단기 회상 및 수용적 장기기억 유지에 있어 현저하게 의미 있는 결과를 나타냈다. 이러한 결과는 숙어를 구성하는 단어들의 의미를 추측하여 더 빨리 이해 처리한다는 분해성의 효과에 반하는 결과로써, L2 학습자들이 강화된 입력 문맥의 이해와 함께 목표어를 쓰는 연습(cloze production)을 이용한 과업 활동을 통해 숙어를 연습할 경우 오히려 비분해적 숙어가 하나의 긴 단어처럼 문맥 안에서 그 의미를 더 잘 이해하고 기 억할 수 있다는 것을 보여주고 있다.

In this study, we investigated the impact of different initial data on atmospheric modeling results using the Weather Research and Forecast (WRF) model. Four WRF simulations were conducted with different initialization in March 2015, which showed the highest monthly mean PM10 concentration in the recent ten years (2006-2015). The results of WRF simulations using NCEP-FNL and ERA-Interim were compared with observed surface temperature and wind speed data, and the difference of grid nudging effect on WRF simulation between the two data were also analyzed. The FNL simulation showed better accuracy in the simulated temperature and wind speed than the Interim simulation, and the difference was clear in the coastal area. The grid nudging effect on the Interim simulation was larger than that of the FNL simulation. Despite of the higher spatial resolution of ERA-Interim data compared to NCEP-FNL data, the Interim simulation showed slightly worse accuracy than those of the FNL simulation. It was due to uncertainties associated with the Sea Surface Temperature (SST) field in the ERA-Interim data. The results from the Interim simulation with different SST data showed significantly improved accuracy than the standard Interim simulation. It means that the SST field in the ERA-Interim data need to be optimized for the better WRF simulation. In conclusion, although the WRF simulation with ERA-Interim data does not show reasonable accuracy compared to those with NCEP-FNL data, it would be able to be Improved by optimizing the SST variable.

Phosphorus (P) is an essential and major nutrient for both plants and animals. However, anthropogenic P in the environment may cause severe problems such as the deterioration of water quality. Therefore, it is essential for the Korean government to manage P in the agricultural sector. The annual P budget for Korea was 46 kg P ha-1 in 2013, placing Korea in second among Organication for Economic Co-operation and Development (OECD) countries. P surplus and deficiency in agricultural lands can be estimated according to the P budget, which is one of the OECD agri-environment indicators. In the P budget, it is important to ensure consistency in the input-output data sources, in order to apply national and regional policies for the environmentally sound management of agricultural P. This study examines the impacts on the input-output data sources in the regional P budget in Korea. P budgets were between 99-145 kg-P/ha, depending on different data sources. We suggest two recommended data combinations (DC 1 and DC 2) for reliability of the data. P budgets calculated using DC 1 and DC 2 were 128 kg-P/ha and 97 kg-P/ha, respectively. According to the results, one of the core factors affecting P budgets was crop production. In this study, DC 2 was recommended rather than DC 1 in order to consider the cultivated areas for various crops. It is also necessary to analyze the sensitivity of the coefficients used in P budget in the future.

In the offshore crane system, the requirements on the operating safety are extremely high due to many external factors. Rope extension is one of the factors producing vertical vibration of load. In this study, the load is carried by the motor-winch actuator control and the rope is modeled as a mass-damper-spring system. To control the load position and suppress the vertical vibration of the load, a control system based on input-output linearization method is proposed. By the simulation and experiment results with pilot crane model, the effectiveness of proposed control method is evaluated and verified.

정확히 가뭄을 모의하기 위해서는 수문기상학적 현상을 반영할 수 있는 가뭄지수가 필요하며, 국내에서 수문학적 가뭄을 모의하기 위해 MSWSI (Modified Surface Water Supply Index)를 활용한 여러 연구가 진행되었다. 본 연구에서는 MSWSI의 한계점을 분석하고 MSWSI의 불확실성을 정량화하였다. 우선 MSWSI 인자로서 활용가 능한 수문기상인자의 선정에 따른 영향을 분석하였다. 기존 MSWSI에 적용한 하천유량, 지하수위, 강수, 댐유입량의 4개 입력인자별로 하나의 관측소자료만을 이용하였으 나 본 연구에서는 중권역별 특성에 맞도록 댐저수위와 댐방류량도 포함하였으며, 여러 관측소의 자료를 취득하여 면적평균자료를 사용하였다. 2001년과 2006년 가뭄사례 에 대해 MSWSI 모의검증 결과, 본 연구의 MSWSI가 실측수문기상자료의 경향을 더 잘 반영하여 가뭄을 모의하였으며, MSWSI 인자의 선정이 가뭄모의 정확성에 영향을 주는 것으로 나타났다. 다음으로 MSWSI 인자에 적용하는 확률분포의 선정에 따른 영향을 분석하였다. 강수자료는 Gumbel와 GEV 분포, 하천자료는 정규분포와 Gumbel 분포, 댐자료는 2-매개변수 대수정규분포와 Gumbel, 지하수는 3-매개변수 대수정규분포를 따르는 것으로 나타났다. 이에 따라 중권역별로 최대 36개의 MSWSI를 산정하 였으며, 확률분포의 선정에 따라 MSWSI 범위가 매우 다르게 나타나 어떠한 확률분포을 적용하느냐에 따라 MSWSI 결과는 매우 달라질 수 있음을 확인하였다. 마지막으로 maximum entropy를 이용하여 MSWSI 입력인자의 선정과 입력인자별 확률분포 선정의 영향에 따른 불확실성을 정량화하였다. 분석결과, 입력인자의 수가 많이 적용될수 록 불확실성은 증가하는 것으로 나타났으며, 홍수기에 MSWSI 입력인자별 확률분포 적용에 따라 MSWSI의 불확실성이 증가하는 것으로 나타났다.

Much research on Black Soldier Fly (Hermetia illucens) is underway in the disposal of food waste. In addition to food waste treatment, it has received much attention in the industrial using of by-products such as feed, compost, and antibiotics. In this study, the treatment efficiency of organic wastes and larval growth were investigated according to the amount of input. The organic wastes used in this study were chicken carcasses and food waste. In case of carcass treatment, to the exclusion of bones and feathers, it was treated about 83 percent. Food waste was completely treated in 48 hours when 50 percent of the weight of the food was put into the larvae. The maximum larval growth was observed with 10 percent injected, from 0.076 g to 0.254 g. However, there was no difference in the growth of larvae when 30 percent or more was added.

Wind information is one of the major inputs for the prediction of urban air flow using computational fluid dynamic (CFD) models. Therefore, the numerical characteristics of the wind data formed at their mother domains should be clarified to predict the urban air flow more precisely. In this study, the formation characteristics of the wind data in the Seoul region were used as the inlet wind information for a CFD based simulation and were analyzed using numerical weather prediction models for weather research and forecasting (WRF). Because air flow over the central part of the Korean peninsula is often controlled not only by synoptic scale westerly winds but also by the westerly sea breeze induced from the Yellow Sea, the westerly wind often dominates the entire Seoul region. Although simulations of wind speed and air temperature gave results that were slightly high and low, respectively, their temporal variation patterns agreed well with the observations. In the analysis of the vertical cross section, the variation of wind speed along the western boundary of Seoul is simpler in a large domain with the highest horizontal resolution as compared to a small domain with the same resolution. A strong convergence of the sea breeze due to precise topography leads to the simplification of the wind pattern. The same tendency was shown in the average vertical profiles of the wind speed. The difference in the simulated wind pattern of two different domains is greater during the night than in the daytime because of atmospheric stability and topographically induced mesoscale forcing.